2023-07-07T19:48:35.3274805Z Requested labels: linux.2xlarge 2023-07-07T19:48:35.3275050Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main 2023-07-07T19:48:35.3275337Z Reusable workflow chain: 2023-07-07T19:48:35.3275459Z pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main (1a661639f77a172df5d1ccd6987049292c6f3440) 2023-07-07T19:48:35.3275595Z -> pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1a661639f77a172df5d1ccd6987049292c6f3440) 2023-07-07T19:48:35.3275775Z Waiting for a runner to pick up this job... 2023-07-07T19:48:35.5153237Z Job is about to start running on the runner: i-0d4bdaa99d64868a8 (organization) 2023-07-07T19:48:40.4939845Z Current runner version: '2.305.0' 2023-07-07T19:48:40.4944855Z Runner name: 'i-0d4bdaa99d64868a8' 2023-07-07T19:48:40.4945270Z Runner group name: 'Default' 2023-07-07T19:48:40.4945777Z Machine name: 'ip-10-0-0-222' 2023-07-07T19:48:40.4947266Z ##[group]GITHUB_TOKEN Permissions 2023-07-07T19:48:40.4947790Z Actions: write 2023-07-07T19:48:40.4947992Z Checks: write 2023-07-07T19:48:40.4948204Z Contents: write 2023-07-07T19:48:40.4948426Z Deployments: write 2023-07-07T19:48:40.4948638Z Discussions: write 2023-07-07T19:48:40.4948854Z Issues: write 2023-07-07T19:48:40.4949067Z Metadata: read 2023-07-07T19:48:40.4949269Z Packages: write 2023-07-07T19:48:40.4949482Z Pages: write 2023-07-07T19:48:40.4949699Z PullRequests: write 2023-07-07T19:48:40.4949936Z RepositoryProjects: write 2023-07-07T19:48:40.4950180Z SecurityEvents: write 2023-07-07T19:48:40.4950404Z Statuses: write 2023-07-07T19:48:40.4950604Z ##[endgroup] 2023-07-07T19:48:40.4953792Z Secret source: Actions 2023-07-07T19:48:40.4954249Z Prepare workflow directory 2023-07-07T19:48:41.0306556Z Prepare all required actions 2023-07-07T19:48:41.0497068Z Getting action download info 2023-07-07T19:48:41.2171443Z Download action repository 'pytorch/test-infra@main' (SHA:a9388cbb42d7207fea816214b842ef602115191e) 2023-07-07T19:48:41.5289605Z Download action repository 'pytorch/pytorch@main' (SHA:1a661639f77a172df5d1ccd6987049292c6f3440) 2023-07-07T19:48:44.4240465Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2023-07-07T19:48:44.7618422Z Getting action download info 2023-07-07T19:48:44.8827539Z Download action repository 'malfet/checkout@silent-checkout' (SHA:e07af140b3ccefc05679e3755b9db68f4ee4589c) 2023-07-07T19:48:45.1137755Z Getting action download info 2023-07-07T19:48:45.2444679Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2023-07-07T19:48:45.3897202Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (1a661639f77a172df5d1ccd6987049292c6f3440) 2023-07-07T19:48:45.3898859Z ##[group] Inputs 2023-07-07T19:48:45.3899189Z build-environment: linux-focal-py3.8-clang10-onnx 2023-07-07T19:48:45.3899632Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}]} 2023-07-07T19:48:45.3900196Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:48:45.3900597Z sync-tag: 2023-07-07T19:48:45.3901334Z timeout-minutes: 240 2023-07-07T19:48:45.3901550Z use-gha: 2023-07-07T19:48:45.3901769Z dashboard-tag: 2023-07-07T19:48:45.3902000Z ##[endgroup] 2023-07-07T19:48:45.3902510Z Complete job name: linux-focal-py3.8-clang10-onnx / test (default, 2, 2, linux.2xlarge) 2023-07-07T19:48:45.4636569Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2023-07-07T19:48:45.4636899Z with: 2023-07-07T19:48:45.4637454Z github-secret: *** 2023-07-07T19:48:45.4637851Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2023-07-07T19:48:45.4638248Z activate-with-label: false 2023-07-07T19:48:45.4638473Z label: with-ssh 2023-07-07T19:48:45.4638714Z remove-existing-keys: true 2023-07-07T19:48:45.4638946Z env: 2023-07-07T19:48:45.4639151Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:48:45.4639399Z ##[endgroup] 2023-07-07T19:48:45.5434085Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2023-07-07T19:48:45.5622203Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2023-07-07T19:48:45.5622498Z with: 2023-07-07T19:48:45.5622716Z submodules: recursive 2023-07-07T19:48:45.5622944Z fetch-depth: 0 2023-07-07T19:48:45.5623137Z env: 2023-07-07T19:48:45.5623349Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:48:45.5623576Z ##[endgroup] 2023-07-07T19:48:45.5834168Z ##[group]Run retry () { 2023-07-07T19:48:45.5834465Z retry () { 2023-07-07T19:48:45.5834725Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2023-07-07T19:48:45.5834982Z } 2023-07-07T19:48:45.5835307Z echo "${GITHUB_WORKSPACE}" 2023-07-07T19:48:45.5835560Z if [ -z "${NO_SUDO}" ]; then 2023-07-07T19:48:45.5835834Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2023-07-07T19:48:45.5836081Z else 2023-07-07T19:48:45.5836310Z  retry rm -rf "${GITHUB_WORKSPACE}" 2023-07-07T19:48:45.5836545Z fi 2023-07-07T19:48:45.5836827Z mkdir "${GITHUB_WORKSPACE}" 2023-07-07T19:48:45.5852219Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:48:45.5852492Z env: 2023-07-07T19:48:45.5852715Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:48:45.5852937Z NO_SUDO: 2023-07-07T19:48:45.5853135Z ##[endgroup] 2023-07-07T19:48:45.5947307Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2023-07-07T19:48:48.8384936Z ##[group]Run malfet/checkout@silent-checkout 2023-07-07T19:48:48.8385203Z with: 2023-07-07T19:48:48.8385393Z ref: 1a661639f77a172df5d1ccd6987049292c6f3440 2023-07-07T19:48:48.8385607Z fetch-depth: 0 2023-07-07T19:48:48.8385793Z submodules: recursive 2023-07-07T19:48:48.8385968Z quiet-checkout: true 2023-07-07T19:48:48.8386166Z repository: pytorch/pytorch 2023-07-07T19:48:48.8386510Z token: *** 2023-07-07T19:48:48.8386688Z ssh-strict: true 2023-07-07T19:48:48.8386872Z persist-credentials: true 2023-07-07T19:48:48.8387071Z clean: true 2023-07-07T19:48:48.8387289Z sparse-checkout-cone-mode: true 2023-07-07T19:48:48.8387481Z lfs: false 2023-07-07T19:48:48.8387661Z set-safe-directory: true 2023-07-07T19:48:48.8387845Z env: 2023-07-07T19:48:48.8388008Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:48:48.8388195Z ##[endgroup] 2023-07-07T19:48:48.9304387Z Syncing repository: pytorch/pytorch 2023-07-07T19:48:48.9305758Z ##[group]Getting Git version info 2023-07-07T19:48:48.9306268Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2023-07-07T19:48:48.9306835Z [command]/usr/bin/git version 2023-07-07T19:48:48.9307026Z git version 2.40.1 2023-07-07T19:48:48.9307942Z ##[endgroup] 2023-07-07T19:48:48.9319230Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/e6dcb58b-3041-45fd-89e1-ec9734dd2c13' before making global git config changes 2023-07-07T19:48:48.9319677Z Adding repository directory to the temporary git global config as a safe directory 2023-07-07T19:48:48.9320160Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2023-07-07T19:48:48.9353981Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2023-07-07T19:48:48.9357799Z ##[group]Initializing the repository 2023-07-07T19:48:48.9360506Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2023-07-07T19:48:48.9490039Z hint: Using 'master' as the name for the initial branch. This default branch name 2023-07-07T19:48:48.9490696Z hint: is subject to change. To configure the initial branch name to use in all 2023-07-07T19:48:48.9491231Z hint: of your new repositories, which will suppress this warning, call: 2023-07-07T19:48:48.9491473Z hint: 2023-07-07T19:48:48.9491928Z hint: git config --global init.defaultBranch 2023-07-07T19:48:48.9492146Z hint: 2023-07-07T19:48:48.9492430Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2023-07-07T19:48:48.9492818Z hint: 'development'. The just-created branch can be renamed via this command: 2023-07-07T19:48:48.9493269Z hint: 2023-07-07T19:48:48.9493474Z hint: git branch -m 2023-07-07T19:48:48.9493858Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2023-07-07T19:48:48.9500122Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2023-07-07T19:48:48.9528864Z ##[endgroup] 2023-07-07T19:48:48.9529486Z ##[group]Disabling automatic garbage collection 2023-07-07T19:48:48.9531864Z [command]/usr/bin/git config --local gc.auto 0 2023-07-07T19:48:48.9558222Z ##[endgroup] 2023-07-07T19:48:48.9558547Z ##[group]Setting up auth 2023-07-07T19:48:48.9563660Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2023-07-07T19:48:48.9590732Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2023-07-07T19:48:48.9826012Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2023-07-07T19:48:48.9853423Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2023-07-07T19:48:49.0095933Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2023-07-07T19:48:49.0141789Z ##[endgroup] 2023-07-07T19:48:49.0142194Z ##[group]Fetching the repository 2023-07-07T19:48:49.0147494Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --progress --no-recurse-submodules --quiet origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2023-07-07T19:48:56.5258404Z remote: Enumerating objects: 1127694 2023-07-07T19:48:56.5258850Z remote: Enumerating objects: 1130991, done. 2023-07-07T19:48:56.5262959Z remote: Counting objects: 0% (1/3297) 2023-07-07T19:48:56.5263303Z remote: Counting objects: 1% (33/3297) 2023-07-07T19:48:56.5263573Z remote: Counting objects: 2% (66/3297) 2023-07-07T19:48:56.5263943Z remote: Counting objects: 3% (99/3297) 2023-07-07T19:48:56.5264297Z remote: Counting objects: 4% (132/3297) 2023-07-07T19:48:56.5264547Z remote: Counting objects: 5% (165/3297) 2023-07-07T19:48:56.5265906Z remote: Counting objects: 6% (198/3297) 2023-07-07T19:48:56.5267279Z remote: Counting objects: 7% (231/3297) 2023-07-07T19:48:56.5268596Z remote: Counting objects: 8% (264/3297) 2023-07-07T19:48:56.5269316Z remote: Counting objects: 9% (297/3297) 2023-07-07T19:48:56.5269893Z remote: Counting objects: 10% (330/3297) 2023-07-07T19:48:56.5276514Z remote: Counting objects: 11% (363/3297) 2023-07-07T19:48:56.5276867Z remote: Counting objects: 12% (396/3297) 2023-07-07T19:48:56.5277128Z remote: Counting objects: 13% (429/3297) 2023-07-07T19:48:56.5277457Z remote: Counting objects: 14% (462/3297) 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2023-07-07T19:48:56.5317273Z remote: Counting objects: 85% (2803/3297) 2023-07-07T19:48:56.5317609Z remote: Counting objects: 86% (2836/3297) 2023-07-07T19:48:56.5317887Z remote: Counting objects: 87% (2869/3297) 2023-07-07T19:48:56.5318104Z remote: Counting objects: 88% (2902/3297) 2023-07-07T19:48:56.5318641Z remote: Counting objects: 89% (2935/3297) 2023-07-07T19:48:56.5320642Z remote: Counting objects: 90% (2968/3297) 2023-07-07T19:48:56.5321103Z remote: Counting objects: 91% (3001/3297) 2023-07-07T19:48:56.5321554Z remote: Counting objects: 92% (3034/3297) 2023-07-07T19:48:56.5321986Z remote: Counting objects: 93% (3067/3297) 2023-07-07T19:48:56.5322600Z remote: Counting objects: 94% (3100/3297) 2023-07-07T19:48:56.5324136Z remote: Counting objects: 95% (3133/3297) 2023-07-07T19:48:56.5325537Z remote: Counting objects: 96% (3166/3297) 2023-07-07T19:48:56.5327092Z remote: Counting objects: 97% (3199/3297) 2023-07-07T19:48:56.5328590Z remote: Counting objects: 98% (3232/3297) 2023-07-07T19:48:56.5330317Z remote: Counting objects: 99% (3265/3297) 2023-07-07T19:48:56.5330743Z remote: Counting objects: 100% (3297/3297) 2023-07-07T19:48:56.5331137Z remote: Counting objects: 100% (3297/3297), done. 2023-07-07T19:48:56.5765791Z remote: Compressing objects: 0% (1/1417) 2023-07-07T19:48:56.7701061Z remote: Compressing objects: 1% (15/1417) 2023-07-07T19:48:56.7917760Z remote: Compressing objects: 2% (29/1417) 2023-07-07T19:48:56.8283472Z remote: Compressing objects: 3% (43/1417) 2023-07-07T19:48:56.8732708Z remote: Compressing objects: 4% (57/1417) 2023-07-07T19:48:56.9277365Z remote: Compressing objects: 5% (71/1417) 2023-07-07T19:48:56.9752728Z remote: Compressing objects: 6% (86/1417) 2023-07-07T19:48:57.0136364Z remote: Compressing objects: 7% (100/1417) 2023-07-07T19:48:57.0391262Z remote: Compressing objects: 8% (114/1417) 2023-07-07T19:48:57.0538735Z remote: Compressing objects: 9% (128/1417) 2023-07-07T19:48:57.0699133Z remote: Compressing objects: 10% (142/1417) 2023-07-07T19:48:57.0816059Z remote: Compressing objects: 11% (156/1417) 2023-07-07T19:48:57.0970952Z remote: Compressing objects: 12% (171/1417) 2023-07-07T19:48:57.1076500Z remote: Compressing objects: 13% (185/1417) 2023-07-07T19:48:57.1149010Z remote: Compressing objects: 14% (199/1417) 2023-07-07T19:48:57.1221497Z remote: Compressing objects: 15% (213/1417) 2023-07-07T19:48:57.1274213Z remote: Compressing objects: 16% (227/1417) 2023-07-07T19:48:57.1329586Z remote: Compressing objects: 17% (241/1417) 2023-07-07T19:48:57.1367971Z remote: Compressing objects: 18% (256/1417) 2023-07-07T19:48:57.1393053Z remote: Compressing objects: 19% (270/1417) 2023-07-07T19:48:57.1397161Z remote: Compressing objects: 20% (284/1417) 2023-07-07T19:48:57.1415633Z remote: Compressing objects: 21% (298/1417) 2023-07-07T19:48:57.1432632Z remote: Compressing objects: 22% (312/1417) 2023-07-07T19:48:57.1445255Z remote: Compressing objects: 23% (326/1417) 2023-07-07T19:48:57.1466095Z remote: Compressing objects: 24% (341/1417) 2023-07-07T19:48:57.1493669Z remote: Compressing objects: 25% (355/1417) 2023-07-07T19:48:57.1506604Z remote: Compressing objects: 26% (369/1417) 2023-07-07T19:48:57.1521082Z remote: Compressing objects: 27% (383/1417) 2023-07-07T19:48:57.1540419Z remote: Compressing objects: 28% (397/1417) 2023-07-07T19:48:57.1557296Z remote: Compressing objects: 29% (411/1417) 2023-07-07T19:48:57.1578948Z remote: Compressing objects: 30% (426/1417) 2023-07-07T19:48:57.1581322Z remote: Compressing objects: 31% (440/1417) 2023-07-07T19:48:57.1593472Z remote: Compressing objects: 32% (454/1417) 2023-07-07T19:48:57.1604325Z remote: Compressing objects: 33% (468/1417) 2023-07-07T19:48:57.1617935Z remote: Compressing objects: 34% (482/1417) 2023-07-07T19:48:57.1630528Z remote: Compressing objects: 35% (496/1417) 2023-07-07T19:48:57.1649694Z remote: Compressing objects: 36% (511/1417) 2023-07-07T19:48:57.1655138Z remote: Compressing objects: 37% (525/1417) 2023-07-07T19:48:57.1670997Z remote: Compressing objects: 38% (539/1417) 2023-07-07T19:48:57.1671635Z remote: Compressing objects: 39% (553/1417) 2023-07-07T19:48:57.1680484Z remote: Compressing objects: 40% (567/1417) 2023-07-07T19:48:57.1700082Z remote: Compressing objects: 41% (581/1417) 2023-07-07T19:48:57.1703169Z remote: Compressing objects: 42% (596/1417) 2023-07-07T19:48:57.1708761Z remote: Compressing objects: 43% (610/1417) 2023-07-07T19:48:57.1713163Z remote: Compressing objects: 44% (624/1417) 2023-07-07T19:48:57.1717682Z remote: Compressing objects: 45% (638/1417) 2023-07-07T19:48:57.1724366Z remote: Compressing objects: 46% (652/1417) 2023-07-07T19:48:57.1730161Z remote: Compressing objects: 47% (666/1417) 2023-07-07T19:48:57.1734640Z remote: Compressing objects: 48% (681/1417) 2023-07-07T19:48:57.1737246Z remote: Compressing objects: 49% (695/1417) 2023-07-07T19:48:57.1741149Z remote: Compressing objects: 50% (709/1417) 2023-07-07T19:48:57.1743471Z remote: Compressing objects: 51% (723/1417) 2023-07-07T19:48:57.1746424Z remote: Compressing objects: 52% (737/1417) 2023-07-07T19:48:57.1747140Z remote: Compressing objects: 53% (752/1417) 2023-07-07T19:48:57.1753620Z remote: Compressing objects: 54% (766/1417) 2023-07-07T19:48:57.1754050Z remote: Compressing objects: 55% (780/1417) 2023-07-07T19:48:57.1754531Z remote: Compressing objects: 56% (794/1417) 2023-07-07T19:48:57.1754819Z remote: Compressing objects: 57% (808/1417) 2023-07-07T19:48:57.1755045Z remote: Compressing objects: 58% (822/1417) 2023-07-07T19:48:57.1755356Z remote: Compressing objects: 59% (837/1417) 2023-07-07T19:48:57.1759732Z remote: Compressing objects: 60% (851/1417) 2023-07-07T19:48:57.1760166Z remote: Compressing objects: 61% (865/1417) 2023-07-07T19:48:57.1760589Z remote: Compressing objects: 62% (879/1417) 2023-07-07T19:48:57.1760832Z remote: Compressing objects: 63% (893/1417) 2023-07-07T19:48:57.1761076Z remote: Compressing objects: 64% (907/1417) 2023-07-07T19:48:57.1761314Z remote: Compressing objects: 65% (922/1417) 2023-07-07T19:48:57.1772917Z remote: Compressing objects: 66% (936/1417) 2023-07-07T19:48:57.1786851Z remote: Compressing objects: 67% (950/1417) 2023-07-07T19:48:57.1795836Z remote: Compressing objects: 68% (964/1417) 2023-07-07T19:48:57.1801415Z remote: Compressing objects: 69% (978/1417) 2023-07-07T19:48:57.1804757Z remote: Compressing objects: 70% (992/1417) 2023-07-07T19:48:57.1810304Z remote: Compressing objects: 71% (1007/1417) 2023-07-07T19:48:57.1816361Z remote: Compressing objects: 72% (1021/1417) 2023-07-07T19:48:57.1823490Z remote: Compressing objects: 73% (1035/1417) 2023-07-07T19:48:57.1826725Z remote: Compressing objects: 74% (1049/1417) 2023-07-07T19:48:57.1833360Z remote: Compressing objects: 75% (1063/1417) 2023-07-07T19:48:57.1837797Z remote: Compressing objects: 76% (1077/1417) 2023-07-07T19:48:57.1843120Z remote: Compressing objects: 77% (1092/1417) 2023-07-07T19:48:57.1848290Z remote: Compressing objects: 78% (1106/1417) 2023-07-07T19:48:57.1851585Z remote: Compressing objects: 79% (1120/1417) 2023-07-07T19:48:57.1855004Z remote: Compressing objects: 80% (1134/1417) 2023-07-07T19:48:57.1858242Z remote: Compressing objects: 81% (1148/1417) 2023-07-07T19:48:57.1858908Z remote: Compressing objects: 82% (1162/1417) 2023-07-07T19:48:57.1868252Z remote: Compressing objects: 83% (1177/1417) 2023-07-07T19:48:57.1875465Z remote: Compressing objects: 84% (1191/1417) 2023-07-07T19:48:57.1875950Z remote: Compressing objects: 85% (1205/1417) 2023-07-07T19:48:57.1889107Z remote: Compressing objects: 86% (1219/1417) 2023-07-07T19:48:57.1889568Z remote: Compressing objects: 87% (1233/1417) 2023-07-07T19:48:57.1889949Z remote: Compressing objects: 88% (1247/1417) 2023-07-07T19:48:57.1895942Z remote: Compressing objects: 89% (1262/1417) 2023-07-07T19:48:57.1896373Z remote: Compressing objects: 90% (1276/1417) 2023-07-07T19:48:57.1896831Z remote: Compressing objects: 91% (1290/1417) 2023-07-07T19:48:57.1897118Z remote: Compressing objects: 92% (1304/1417) 2023-07-07T19:48:57.1897358Z remote: Compressing objects: 93% (1318/1417) 2023-07-07T19:48:57.1897589Z remote: Compressing objects: 94% (1332/1417) 2023-07-07T19:48:57.1900156Z remote: Compressing objects: 95% (1347/1417) 2023-07-07T19:48:57.1900458Z remote: Compressing objects: 96% (1361/1417) 2023-07-07T19:48:57.1900706Z remote: Compressing objects: 97% (1375/1417) 2023-07-07T19:48:57.1902029Z remote: Compressing objects: 98% (1389/1417) 2023-07-07T19:48:57.1902372Z remote: Compressing objects: 99% (1403/1417) 2023-07-07T19:48:57.1902616Z remote: Compressing objects: 100% (1417/1417) 2023-07-07T19:48:57.1902856Z remote: Compressing objects: 100% (1417/1417), done. 2023-07-07T19:49:18.7931425Z remote: Total 1130991 (delta 2336), reused 2726 (delta 1880), pack-reused 1127694 2023-07-07T19:49:49.1148618Z [command]/usr/bin/git rev-parse --verify --quiet 1a661639f77a172df5d1ccd6987049292c6f3440^{object} 2023-07-07T19:49:49.1172979Z 1a661639f77a172df5d1ccd6987049292c6f3440 2023-07-07T19:49:49.1177792Z ##[endgroup] 2023-07-07T19:49:49.1178444Z ##[group]Determining the checkout info 2023-07-07T19:49:49.1179663Z ##[endgroup] 2023-07-07T19:49:49.1180240Z ##[group]Checking out the ref 2023-07-07T19:49:49.1184015Z [command]/usr/bin/git checkout --quiet --force 1a661639f77a172df5d1ccd6987049292c6f3440 2023-07-07T19:49:50.5255057Z ##[endgroup] 2023-07-07T19:49:50.5255466Z ##[group]Setting up auth for fetching submodules 2023-07-07T19:49:50.5260266Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2023-07-07T19:49:50.5306360Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2023-07-07T19:49:50.5336517Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2023-07-07T19:49:50.5364003Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2023-07-07T19:49:50.5388741Z ##[endgroup] 2023-07-07T19:49:50.5389307Z ##[group]Fetching submodules 2023-07-07T19:49:50.5393451Z [command]/usr/bin/git submodule sync --recursive 2023-07-07T19:49:50.5653603Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2023-07-07T19:49:50.5906194Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2023-07-07T19:49:50.5906817Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2023-07-07T19:49:50.5908730Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2023-07-07T19:49:50.5911093Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2023-07-07T19:49:50.5913108Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK' 2023-07-07T19:49:50.5915743Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2023-07-07T19:49:50.5918056Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2023-07-07T19:49:50.5920756Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2023-07-07T19:49:50.5923507Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2023-07-07T19:49:50.5926570Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' 2023-07-07T19:49:50.5929461Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2023-07-07T19:49:50.5932445Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2023-07-07T19:49:50.5935485Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2023-07-07T19:49:50.5938626Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2023-07-07T19:49:50.5941936Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2023-07-07T19:49:50.5945332Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2023-07-07T19:49:50.5948764Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi' 2023-07-07T19:49:50.5952503Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2023-07-07T19:49:50.5956293Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2023-07-07T19:49:50.5960033Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2023-07-07T19:49:50.5963890Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2023-07-07T19:49:50.5968861Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake' 2023-07-07T19:49:50.5972890Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2023-07-07T19:49:50.5977089Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2023-07-07T19:49:50.5981247Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2023-07-07T19:49:50.5985568Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2023-07-07T19:49:50.5989981Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse' 2023-07-07T19:49:50.5994618Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2023-07-07T19:49:50.5999194Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2023-07-07T19:49:50.6004054Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt' 2023-07-07T19:49:50.6009020Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2023-07-07T19:49:50.6014121Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2023-07-07T19:49:50.6018995Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2023-07-07T19:49:50.6024162Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2023-07-07T19:49:50.6029378Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2023-07-07T19:49:50.6034785Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum' 2023-07-07T19:49:50.6040236Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2023-07-07T19:49:50.6045878Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six' 2023-07-07T19:49:50.6051551Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2023-07-07T19:49:50.6057330Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb' 2023-07-07T19:49:50.6063252Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2023-07-07T19:49:50.6069272Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd' 2023-07-07T19:49:50.6096388Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2023-07-07T19:49:50.8845704Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2023-07-07T19:49:51.0984427Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2023-07-07T19:49:51.3046462Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2023-07-07T19:49:51.5698656Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'... 2023-07-07T19:49:51.8418241Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2023-07-07T19:49:53.9518361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2023-07-07T19:50:03.2812655Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2023-07-07T19:50:03.7219512Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2023-07-07T19:50:04.2984728Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'... 2023-07-07T19:50:05.7762128Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2023-07-07T19:50:07.0855806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2023-07-07T19:50:08.9175511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2023-07-07T19:50:14.2586313Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2023-07-07T19:50:15.0670184Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2023-07-07T19:50:16.7379413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2023-07-07T19:50:18.0484660Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'... 2023-07-07T19:50:18.2479566Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2023-07-07T19:50:18.7067273Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2023-07-07T19:50:19.0323718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2023-07-07T19:50:20.2425842Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2023-07-07T19:50:20.6370631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ios-cmake'... 2023-07-07T19:50:20.8544430Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2023-07-07T19:50:21.1642007Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2023-07-07T19:50:22.7106449Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2023-07-07T19:50:23.4051038Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nccl/nccl'... 2023-07-07T19:50:23.8430197Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/neon2sse'... 2023-07-07T19:50:24.2347103Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2023-07-07T19:50:29.8958148Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2023-07-07T19:50:31.7709579Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt'... 2023-07-07T19:50:32.2792771Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2023-07-07T19:50:32.4915830Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2023-07-07T19:50:40.0724870Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2023-07-07T19:50:40.2781483Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2023-07-07T19:50:40.5438840Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2023-07-07T19:50:41.4756093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-enum'... 2023-07-07T19:50:41.7029900Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2023-07-07T19:50:42.1461532Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-six'... 2023-07-07T19:50:42.4665000Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2023-07-07T19:50:43.0276347Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tbb'... 2023-07-07T19:50:47.2274203Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2023-07-07T19:50:47.6866196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/zstd'... 2023-07-07T19:50:50.1056936Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2023-07-07T19:50:50.1153241Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2023-07-07T19:50:50.1227213Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2023-07-07T19:50:50.1437040Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2023-07-07T19:50:50.1640589Z Submodule path 'third_party/QNNPACK': checked out '7d2a4e9931a82adc3814275b6219a03e24e36b4c' 2023-07-07T19:50:50.1975632Z Submodule path 'third_party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2023-07-07T19:50:50.8034475Z Submodule path 'third_party/XNNPACK': checked out '51a987591a6fc9f0fc0707077f53d763ac132cbf' 2023-07-07T19:50:50.8229547Z Submodule path 'third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2023-07-07T19:50:50.9162155Z Submodule path 'third_party/cpuinfo': checked out '6481e8bef08f606ddd627e4d3be89f64d62e1b8a' 2023-07-07T19:50:50.9477615Z Submodule path 'third_party/cub': checked out 'd106ddb991a56c3df1b6d51b2409e36ba8181ce4' 2023-07-07T19:50:51.2119024Z Submodule path 'third_party/cudnn_frontend': checked out 'e7f64390e9bb4a3db622ffe11c973834f572b609' 2023-07-07T19:50:51.6471073Z Submodule path 'third_party/cutlass': checked out '6f47420213f757831fae65c686aa471749fa8d60' 2023-07-07T19:50:51.8726492Z Submodule path 'third_party/eigen': checked out '3147391d946bb4b6c68edd901f2add6ac1f31f8c' 2023-07-07T19:50:51.9202577Z Submodule path 'third_party/fbgemm': checked out 'd0ee798b1f198cc51b6ddae20cf6063f6380ba3f' 2023-07-07T19:50:51.9217154Z Submodule 'third_party/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/third_party/asmjit' 2023-07-07T19:50:51.9218918Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/third_party/cpuinfo' 2023-07-07T19:50:51.9220964Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/fbgemm/third_party/cutlass' 2023-07-07T19:50:51.9223030Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/third_party/googletest' 2023-07-07T19:50:51.9225272Z Submodule 'third_party/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/third_party/hipify_torch' 2023-07-07T19:50:51.9248226Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/asmjit'... 2023-07-07T19:50:52.6750516Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cpuinfo'... 2023-07-07T19:50:53.1837730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/cutlass'... 2023-07-07T19:50:55.6411590Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/googletest'... 2023-07-07T19:50:56.7362848Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/third_party/hipify_torch'... 2023-07-07T19:50:57.0238732Z Submodule path 'third_party/fbgemm/third_party/asmjit': checked out 'd3fbf7c9bc7c1d1365a94a45614b91c5a3706b81' 2023-07-07T19:50:57.1167069Z Submodule path 'third_party/fbgemm/third_party/cpuinfo': checked out 'ed8b86a253800bafdb7b25c5c399f91bff9cb1f3' 2023-07-07T19:50:57.4958025Z Submodule path 'third_party/fbgemm/third_party/cutlass': checked out 'fc9ebc645b63f3a6bc80aaefde5c063fb72110d6' 2023-07-07T19:50:57.5526923Z Submodule path 'third_party/fbgemm/third_party/googletest': checked out 'cbf019de22c8dd37b2108da35b2748fd702d1796' 2023-07-07T19:50:57.5619263Z Submodule path 'third_party/fbgemm/third_party/hipify_torch': checked out '23f53b025b466d8ec3c45d52290d3442f7fbe6b1' 2023-07-07T19:50:57.6654250Z Submodule path 'third_party/flatbuffers': checked out '01834de25e4bf3975a9a00e816292b1ad0fe184b' 2023-07-07T19:50:57.6968751Z Submodule path 'third_party/fmt': checked out 'a33701196adfad74917046096bf5a2aa0ab0bb50' 2023-07-07T19:50:57.7050353Z Submodule path 'third_party/foxi': checked out 'c278588e34e535f0bb8f00df3880d26928038cad' 2023-07-07T19:50:57.7420053Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2023-07-07T19:50:57.7637758Z Submodule path 'third_party/gloo': checked out '597accfd79f5b0f9d57b228dec088ca996686475' 2023-07-07T19:50:57.8054558Z Submodule path 'third_party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2023-07-07T19:50:57.8166311Z Submodule path 'third_party/ideep': checked out 'fe8378249600442043b98f333b8b605bedca5a25' 2023-07-07T19:50:57.8178928Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2023-07-07T19:50:57.8200442Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2023-07-07T19:51:08.8385339Z Submodule path 'third_party/ideep/mkl-dnn': checked out '6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e' 2023-07-07T19:51:08.8483134Z Submodule path 'third_party/ios-cmake': checked out '8abaed637d56f1337d6e1d2c4026e25c1eade724' 2023-07-07T19:51:08.8618527Z Submodule path 'third_party/ittapi': checked out '5b8a7d7422611c3a0d799fb5fc5dd4abfae35b42' 2023-07-07T19:51:08.9534944Z Submodule path 'third_party/kineto': checked out '8aa6ffbe8762173a617fc18e8d11f263237e586d' 2023-07-07T19:51:08.9550755Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2023-07-07T19:51:08.9551730Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2023-07-07T19:51:08.9554184Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2023-07-07T19:51:08.9577716Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2023-07-07T19:51:09.4624407Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2023-07-07T19:51:10.7183763Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2023-07-07T19:51:11.9741119Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2023-07-07T19:51:11.9754716Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2023-07-07T19:51:11.9756625Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2023-07-07T19:51:11.9758559Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2023-07-07T19:51:11.9760694Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2023-07-07T19:51:11.9762923Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2023-07-07T19:51:11.9765711Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2023-07-07T19:51:11.9767938Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2023-07-07T19:51:11.9770544Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2023-07-07T19:51:11.9793930Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2023-07-07T19:51:12.9434793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2023-07-07T19:51:13.2976689Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2023-07-07T19:51:14.5342809Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2023-07-07T19:51:14.8977491Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2023-07-07T19:51:15.4397616Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2023-07-07T19:51:16.5658632Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2023-07-07T19:51:23.1195166Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2023-07-07T19:51:23.5770263Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2023-07-07T19:51:23.5917008Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2023-07-07T19:51:23.6265454Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2023-07-07T19:51:23.6382405Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2023-07-07T19:51:23.6395518Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2023-07-07T19:51:23.6417274Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2023-07-07T19:51:24.0623697Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2023-07-07T19:51:24.0785227Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2023-07-07T19:51:24.1152004Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2023-07-07T19:51:24.2147251Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2023-07-07T19:51:24.2295697Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2023-07-07T19:51:24.2605914Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out 'a33701196adfad74917046096bf5a2aa0ab0bb50' 2023-07-07T19:51:24.3128688Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2023-07-07T19:51:24.3457978Z Submodule path 'third_party/mimalloc': checked out 'b66e3214d8a104669c2ec05ae91ebc26a8f5ab78' 2023-07-07T19:51:24.3661115Z Submodule path 'third_party/nccl/nccl': checked out '9b7d5edbfcd70a1ab0874e27382d5c31f769aa0f' 2023-07-07T19:51:24.3789953Z Submodule path 'third_party/neon2sse': checked out '97a126f08ce318023be604d03f88bf0820a9464a' 2023-07-07T19:51:24.4768105Z Submodule path 'third_party/nlohmann': checked out '87cda1d6646592ac5866dc703c8e1839046a6806' 2023-07-07T19:51:24.7542917Z Submodule path 'third_party/onnx': checked out 'a0d77f18516d2da7468a96b0de3b737266f23176' 2023-07-07T19:51:24.7571900Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/onnx/third_party/benchmark' 2023-07-07T19:51:24.7572995Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2023-07-07T19:51:24.7598902Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/benchmark'... 2023-07-07T19:51:25.2030993Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2023-07-07T19:51:26.1504597Z Submodule path 'third_party/onnx/third_party/benchmark': checked out '0d98dba29d66e93259db7daa53a9327df767a415' 2023-07-07T19:51:26.1810763Z Submodule path 'third_party/onnx/third_party/pybind11': checked out '0bd8896a4010f2d91b2340570c24fa08606ec406' 2023-07-07T19:51:26.1971613Z Submodule path 'third_party/onnx-tensorrt': checked out 'c153211418a7c57ce071d9ce2a41f8d1c85a878f' 2023-07-07T19:51:26.1984027Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx' 2023-07-07T19:51:26.2006634Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx-tensorrt/third_party/onnx'... 2023-07-07T19:51:28.1888456Z Submodule path 'third_party/onnx-tensorrt/third_party/onnx': checked out '765f5ee823a67a866f4bd28a9860e81f3c811ce8' 2023-07-07T19:51:28.1907105Z Submodule 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2023-07-07T19:51:36.9373408Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2023-07-07T19:51:36.9624308Z Entering 'android/libs/fbjni' 2023-07-07T19:51:36.9664752Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2023-07-07T19:51:36.9682475Z Entering 'third_party/FP16' 2023-07-07T19:51:36.9726261Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2023-07-07T19:51:36.9740067Z Entering 'third_party/FXdiv' 2023-07-07T19:51:36.9782174Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2023-07-07T19:51:36.9797709Z Entering 'third_party/NNPACK' 2023-07-07T19:51:36.9838442Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config remote.origin.url 2023-07-07T19:51:37.1966870Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2023-07-07T19:51:37.2009483Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config remote.origin.url 2023-07-07T19:51:37.2024821Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2023-07-07T19:51:37.2066841Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config remote.origin.url 2023-07-07T19:51:37.2083811Z Entering 'third_party/mimalloc' 2023-07-07T19:51:37.2126321Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config remote.origin.url 2023-07-07T19:51:37.2141766Z Entering 'third_party/nccl/nccl' 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2023-07-07T19:51:37.2858821Z Entering 'third_party/protobuf' 2023-07-07T19:51:37.2900793Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2023-07-07T19:51:37.2920103Z Entering 'third_party/protobuf/third_party/benchmark' 2023-07-07T19:51:37.2961689Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2023-07-07T19:51:37.2976259Z Entering 'third_party/protobuf/third_party/googletest' 2023-07-07T19:51:37.3019501Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2023-07-07T19:51:37.3036337Z Entering 'third_party/psimd' 2023-07-07T19:51:37.3078168Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2023-07-07T19:51:37.3094445Z Entering 'third_party/pthreadpool' 2023-07-07T19:51:37.3137552Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2023-07-07T19:51:37.3152960Z Entering 'third_party/pybind11' 2023-07-07T19:51:37.3194705Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2023-07-07T19:51:37.3210213Z Entering 'third_party/python-enum' 2023-07-07T19:51:37.3251189Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config remote.origin.url 2023-07-07T19:51:37.3266056Z Entering 'third_party/python-peachpy' 2023-07-07T19:51:37.3307389Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2023-07-07T19:51:37.3321873Z Entering 'third_party/python-six' 2023-07-07T19:51:37.3363132Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config remote.origin.url 2023-07-07T19:51:37.3378971Z Entering 'third_party/sleef' 2023-07-07T19:51:37.3420438Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2023-07-07T19:51:37.3436092Z Entering 'third_party/tbb' 2023-07-07T19:51:37.3477202Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config remote.origin.url 2023-07-07T19:51:37.3494507Z Entering 'third_party/tensorpipe' 2023-07-07T19:51:37.3535328Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2023-07-07T19:51:37.3550807Z Entering 'third_party/tensorpipe/third_party/googletest' 2023-07-07T19:51:37.3591173Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2023-07-07T19:51:37.3606922Z Entering 'third_party/tensorpipe/third_party/libnop' 2023-07-07T19:51:37.3646548Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2023-07-07T19:51:37.3661373Z Entering 'third_party/tensorpipe/third_party/libuv' 2023-07-07T19:51:37.3701881Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2023-07-07T19:51:37.3717544Z Entering 'third_party/tensorpipe/third_party/pybind11' 2023-07-07T19:51:37.3757916Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2023-07-07T19:51:37.3772610Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2023-07-07T19:51:37.3814525Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config remote.origin.url 2023-07-07T19:51:37.3831678Z Entering 'third_party/zstd' 2023-07-07T19:51:37.3872412Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config remote.origin.url 2023-07-07T19:51:37.4729472Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2023-07-07T19:51:37.4989973Z Entering 'android/libs/fbjni' 2023-07-07T19:51:37.5025355Z Entering 'third_party/FP16' 2023-07-07T19:51:37.5060400Z Entering 'third_party/FXdiv' 2023-07-07T19:51:37.5096946Z Entering 'third_party/NNPACK' 2023-07-07T19:51:37.5132154Z Entering 'third_party/QNNPACK' 2023-07-07T19:51:37.5166726Z Entering 'third_party/VulkanMemoryAllocator' 2023-07-07T19:51:37.5201914Z Entering 'third_party/XNNPACK' 2023-07-07T19:51:37.5250161Z Entering 'third_party/benchmark' 2023-07-07T19:51:37.5284680Z Entering 'third_party/cpuinfo' 2023-07-07T19:51:37.5319830Z Entering 'third_party/cub' 2023-07-07T19:51:37.5356635Z Entering 'third_party/cudnn_frontend' 2023-07-07T19:51:37.5396726Z Entering 'third_party/cutlass' 2023-07-07T19:51:37.5441306Z Entering 'third_party/eigen' 2023-07-07T19:51:37.5478120Z Entering 'third_party/fbgemm' 2023-07-07T19:51:37.5513622Z Entering 'third_party/fbgemm/third_party/asmjit' 2023-07-07T19:51:37.5547392Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2023-07-07T19:51:37.5584426Z Entering 'third_party/fbgemm/third_party/cutlass' 2023-07-07T19:51:37.5625061Z Entering 'third_party/fbgemm/third_party/googletest' 2023-07-07T19:51:37.5659008Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2023-07-07T19:51:37.5694919Z Entering 'third_party/flatbuffers' 2023-07-07T19:51:37.5733929Z Entering 'third_party/fmt' 2023-07-07T19:51:37.5771098Z Entering 'third_party/foxi' 2023-07-07T19:51:37.5805918Z Entering 'third_party/gemmlowp/gemmlowp' 2023-07-07T19:51:37.5841590Z Entering 'third_party/gloo' 2023-07-07T19:51:37.5877771Z Entering 'third_party/googletest' 2023-07-07T19:51:37.5913259Z Entering 'third_party/ideep' 2023-07-07T19:51:37.5947813Z Entering 'third_party/ideep/mkl-dnn' 2023-07-07T19:51:37.5990571Z Entering 'third_party/ios-cmake' 2023-07-07T19:51:37.6027955Z Entering 'third_party/ittapi' 2023-07-07T19:51:37.6063754Z Entering 'third_party/kineto' 2023-07-07T19:51:37.6099594Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2023-07-07T19:51:37.6136057Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2023-07-07T19:51:37.6171902Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2023-07-07T19:51:37.6206063Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2023-07-07T19:51:37.6239962Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2023-07-07T19:51:37.6273910Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2023-07-07T19:51:37.6311081Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2023-07-07T19:51:37.6346028Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2023-07-07T19:51:37.6381123Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2023-07-07T19:51:37.6418156Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2023-07-07T19:51:37.6454634Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2023-07-07T19:51:37.6489553Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2023-07-07T19:51:37.6525881Z Entering 'third_party/mimalloc' 2023-07-07T19:51:37.6561415Z Entering 'third_party/nccl/nccl' 2023-07-07T19:51:37.6596344Z Entering 'third_party/neon2sse' 2023-07-07T19:51:37.6632243Z Entering 'third_party/nlohmann' 2023-07-07T19:51:37.6668026Z Entering 'third_party/onnx' 2023-07-07T19:51:37.6719474Z Entering 'third_party/onnx/third_party/benchmark' 2023-07-07T19:51:37.6754183Z Entering 'third_party/onnx/third_party/pybind11' 2023-07-07T19:51:37.6791860Z Entering 'third_party/onnx-tensorrt' 2023-07-07T19:51:37.6826989Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2023-07-07T19:51:37.6866226Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2023-07-07T19:51:37.6901209Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2023-07-07T19:51:37.6935422Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2023-07-07T19:51:37.6973612Z Entering 'third_party/pocketfft' 2023-07-07T19:51:37.7008863Z Entering 'third_party/protobuf' 2023-07-07T19:51:37.7067645Z Entering 'third_party/protobuf/third_party/benchmark' 2023-07-07T19:51:37.7081152Z Entering 'third_party/protobuf/third_party/googletest' 2023-07-07T19:51:37.7118282Z Entering 'third_party/psimd' 2023-07-07T19:51:37.7152845Z Entering 'third_party/pthreadpool' 2023-07-07T19:51:37.7186658Z Entering 'third_party/pybind11' 2023-07-07T19:51:37.7221472Z Entering 'third_party/python-enum' 2023-07-07T19:51:37.7256214Z Entering 'third_party/python-peachpy' 2023-07-07T19:51:37.7290698Z Entering 'third_party/python-six' 2023-07-07T19:51:37.7324838Z Entering 'third_party/sleef' 2023-07-07T19:51:37.7360106Z Entering 'third_party/tbb' 2023-07-07T19:51:37.7396859Z Entering 'third_party/tensorpipe' 2023-07-07T19:51:37.7432160Z Entering 'third_party/tensorpipe/third_party/googletest' 2023-07-07T19:51:37.7466769Z Entering 'third_party/tensorpipe/third_party/libnop' 2023-07-07T19:51:37.7500332Z Entering 'third_party/tensorpipe/third_party/libuv' 2023-07-07T19:51:37.7535871Z Entering 'third_party/tensorpipe/third_party/pybind11' 2023-07-07T19:51:37.7569154Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2023-07-07T19:51:37.7606112Z Entering 'third_party/zstd' 2023-07-07T19:51:37.7652305Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2023-07-07T19:51:37.7911043Z Entering 'android/libs/fbjni' 2023-07-07T19:51:37.7944745Z Entering 'third_party/FP16' 2023-07-07T19:51:37.7979392Z Entering 'third_party/FXdiv' 2023-07-07T19:51:37.8014673Z Entering 'third_party/NNPACK' 2023-07-07T19:51:37.8049503Z Entering 'third_party/QNNPACK' 2023-07-07T19:51:37.8085068Z Entering 'third_party/VulkanMemoryAllocator' 2023-07-07T19:51:37.8119311Z Entering 'third_party/XNNPACK' 2023-07-07T19:51:37.8167103Z Entering 'third_party/benchmark' 2023-07-07T19:51:37.8201208Z Entering 'third_party/cpuinfo' 2023-07-07T19:51:37.8235808Z Entering 'third_party/cub' 2023-07-07T19:51:37.8270802Z Entering 'third_party/cudnn_frontend' 2023-07-07T19:51:37.8309757Z Entering 'third_party/cutlass' 2023-07-07T19:51:37.8350679Z Entering 'third_party/eigen' 2023-07-07T19:51:37.8388417Z Entering 'third_party/fbgemm' 2023-07-07T19:51:37.8423774Z Entering 'third_party/fbgemm/third_party/asmjit' 2023-07-07T19:51:37.8457782Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2023-07-07T19:51:37.8491336Z Entering 'third_party/fbgemm/third_party/cutlass' 2023-07-07T19:51:37.8530668Z Entering 'third_party/fbgemm/third_party/googletest' 2023-07-07T19:51:37.8563518Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2023-07-07T19:51:37.8598506Z Entering 'third_party/flatbuffers' 2023-07-07T19:51:37.8635204Z Entering 'third_party/fmt' 2023-07-07T19:51:37.8669477Z Entering 'third_party/foxi' 2023-07-07T19:51:37.8705485Z Entering 'third_party/gemmlowp/gemmlowp' 2023-07-07T19:51:37.8740997Z Entering 'third_party/gloo' 2023-07-07T19:51:37.8776363Z Entering 'third_party/googletest' 2023-07-07T19:51:37.8812370Z Entering 'third_party/ideep' 2023-07-07T19:51:37.8846245Z Entering 'third_party/ideep/mkl-dnn' 2023-07-07T19:51:37.8889446Z Entering 'third_party/ios-cmake' 2023-07-07T19:51:37.8923968Z Entering 'third_party/ittapi' 2023-07-07T19:51:37.8958784Z Entering 'third_party/kineto' 2023-07-07T19:51:37.8994352Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2023-07-07T19:51:37.9030739Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2023-07-07T19:51:37.9067405Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2023-07-07T19:51:37.9102105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2023-07-07T19:51:37.9136431Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2023-07-07T19:51:37.9169788Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2023-07-07T19:51:37.9205357Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2023-07-07T19:51:37.9238939Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2023-07-07T19:51:37.9272569Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2023-07-07T19:51:37.9306835Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2023-07-07T19:51:37.9343457Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2023-07-07T19:51:37.9378134Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2023-07-07T19:51:37.9414364Z Entering 'third_party/mimalloc' 2023-07-07T19:51:37.9451009Z Entering 'third_party/nccl/nccl' 2023-07-07T19:51:37.9486173Z Entering 'third_party/neon2sse' 2023-07-07T19:51:37.9520434Z Entering 'third_party/nlohmann' 2023-07-07T19:51:37.9556978Z Entering 'third_party/onnx' 2023-07-07T19:51:37.9607222Z Entering 'third_party/onnx/third_party/benchmark' 2023-07-07T19:51:37.9641310Z Entering 'third_party/onnx/third_party/pybind11' 2023-07-07T19:51:37.9678109Z Entering 'third_party/onnx-tensorrt' 2023-07-07T19:51:37.9712927Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2023-07-07T19:51:37.9753051Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2023-07-07T19:51:37.9787449Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2023-07-07T19:51:37.9821641Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2023-07-07T19:51:37.9861689Z Entering 'third_party/pocketfft' 2023-07-07T19:51:37.9897300Z Entering 'third_party/protobuf' 2023-07-07T19:51:37.9936381Z Entering 'third_party/protobuf/third_party/benchmark' 2023-07-07T19:51:37.9970227Z Entering 'third_party/protobuf/third_party/googletest' 2023-07-07T19:51:38.0006631Z Entering 'third_party/psimd' 2023-07-07T19:51:38.0040959Z Entering 'third_party/pthreadpool' 2023-07-07T19:51:38.0075634Z Entering 'third_party/pybind11' 2023-07-07T19:51:38.0109994Z Entering 'third_party/python-enum' 2023-07-07T19:51:38.0145132Z Entering 'third_party/python-peachpy' 2023-07-07T19:51:38.0180346Z Entering 'third_party/python-six' 2023-07-07T19:51:38.0214177Z Entering 'third_party/sleef' 2023-07-07T19:51:38.0249071Z Entering 'third_party/tbb' 2023-07-07T19:51:38.0285013Z Entering 'third_party/tensorpipe' 2023-07-07T19:51:38.0319406Z Entering 'third_party/tensorpipe/third_party/googletest' 2023-07-07T19:51:38.0353746Z Entering 'third_party/tensorpipe/third_party/libnop' 2023-07-07T19:51:38.0388445Z Entering 'third_party/tensorpipe/third_party/libuv' 2023-07-07T19:51:38.0423390Z Entering 'third_party/tensorpipe/third_party/pybind11' 2023-07-07T19:51:38.0457379Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2023-07-07T19:51:38.0495094Z Entering 'third_party/zstd' 2023-07-07T19:51:38.0539267Z ##[endgroup] 2023-07-07T19:51:38.0574690Z [command]/usr/bin/git log -1 --format='%H' 2023-07-07T19:51:38.0598591Z '1a661639f77a172df5d1ccd6987049292c6f3440' 2023-07-07T19:51:38.0704412Z Prepare all required actions 2023-07-07T19:51:38.0704728Z Getting action download info 2023-07-07T19:51:38.1978264Z ##[group]Run ./.github/actions/setup-linux 2023-07-07T19:51:38.1978501Z env: 2023-07-07T19:51:38.1978716Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:38.1978939Z ##[endgroup] 2023-07-07T19:51:38.2037849Z ##[group]Run set -euo pipefail 2023-07-07T19:51:38.2038138Z set -euo pipefail 2023-07-07T19:51:38.2038393Z function get_ec2_metadata() { 2023-07-07T19:51:38.2038674Z  # Pulled from instance metadata endpoint for EC2 2023-07-07T19:51:38.2039088Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2023-07-07T19:51:38.2039440Z  category=$1 2023-07-07T19:51:38.2039725Z  # If it is GCP runner (runner name contains gcp), do not run this 2023-07-07T19:51:38.2040018Z  runner_name_str=i-0d4bdaa99d64868a8 2023-07-07T19:51:38.2040357Z  if [[ $runner_name_str != *"gcp"* ]]; then 2023-07-07T19:51:38.2040654Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2023-07-07T19:51:38.2040922Z  else 2023-07-07T19:51:38.2041199Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2023-07-07T19:51:38.2041470Z  fi 2023-07-07T19:51:38.2041651Z } 2023-07-07T19:51:38.2041897Z echo "ami-id: $(get_ec2_metadata ami-id)" 2023-07-07T19:51:38.2042198Z echo "instance-id: $(get_ec2_metadata instance-id)" 2023-07-07T19:51:38.2042507Z echo "instance-type: $(get_ec2_metadata instance-type)" 2023-07-07T19:51:38.2042799Z echo "system info $(uname -a)" 2023-07-07T19:51:38.2054397Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:38.2054645Z env: 2023-07-07T19:51:38.2054855Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:38.2055081Z ##[endgroup] 2023-07-07T19:51:38.2136958Z ami-id: ami-096198a0bccc6bad4 2023-07-07T19:51:38.2188953Z instance-id: i-0d4bdaa99d64868a8 2023-07-07T19:51:38.2238683Z instance-type: c5.2xlarge 2023-07-07T19:51:38.2245298Z system info Linux ip-10-0-0-222.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux 2023-07-07T19:51:38.2260955Z ##[group]Run if systemctl is-active --quiet docker; then 2023-07-07T19:51:38.2261263Z if systemctl is-active --quiet docker; then 2023-07-07T19:51:38.2261523Z  echo "Docker daemon is running..."; 2023-07-07T19:51:38.2261719Z else 2023-07-07T19:51:38.2261964Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2023-07-07T19:51:38.2262208Z fi 2023-07-07T19:51:38.2273047Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:38.2273261Z env: 2023-07-07T19:51:38.2273439Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:38.2273629Z ##[endgroup] 2023-07-07T19:51:38.2375419Z Docker daemon is running... 2023-07-07T19:51:38.2403648Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2023-07-07T19:51:38.2403894Z with: 2023-07-07T19:51:38.2404047Z shell: bash 2023-07-07T19:51:38.2404229Z timeout_minutes: 5 2023-07-07T19:51:38.2404620Z max_attempts: 3 2023-07-07T19:51:38.2404881Z retry_wait_seconds: 30 2023-07-07T19:51:38.2405579Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2023-07-07T19:51:38.2406060Z polling_interval_seconds: 1 2023-07-07T19:51:38.2406266Z warning_on_retry: true 2023-07-07T19:51:38.2406466Z continue_on_error: false 2023-07-07T19:51:38.2406634Z env: 2023-07-07T19:51:38.2406805Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:38.2407000Z AWS_RETRY_MODE: standard 2023-07-07T19:51:38.2407180Z AWS_MAX_ATTEMPTS: 5 2023-07-07T19:51:38.2407397Z AWS_DEFAULT_REGION: us-east-1 2023-07-07T19:51:38.2407742Z ##[endgroup] 2023-07-07T19:51:39.1165523Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2023-07-07T19:51:39.1165908Z Configure a credential helper to remove this warning. See 2023-07-07T19:51:39.1166330Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2023-07-07T19:51:39.1166536Z 2023-07-07T19:51:39.1166708Z Login Succeeded 2023-07-07T19:51:39.2882375Z Command completed after 1 attempt(s). 2023-07-07T19:51:39.2925012Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2023-07-07T19:51:39.2925331Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2023-07-07T19:51:39.2925609Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2023-07-07T19:51:39.2936600Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:39.2936812Z env: 2023-07-07T19:51:39.2936990Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.2937196Z ##[endgroup] 2023-07-07T19:51:39.2994730Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2023-07-07T19:51:39.2995064Z # ignore expansion of "docker ps -q" since it could be empty 2023-07-07T19:51:39.2995324Z # shellcheck disable=SC2046 2023-07-07T19:51:39.2995554Z docker stop $(docker ps -q) || true 2023-07-07T19:51:39.2995775Z # Prune all of the docker images 2023-07-07T19:51:39.2995997Z docker system prune -af 2023-07-07T19:51:39.3006365Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:39.3006589Z env: 2023-07-07T19:51:39.3006772Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.3006949Z ##[endgroup] 2023-07-07T19:51:39.3335513Z "docker stop" requires at least 1 argument. 2023-07-07T19:51:39.3335959Z See 'docker stop --help'. 2023-07-07T19:51:39.3336090Z 2023-07-07T19:51:39.3336232Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2023-07-07T19:51:39.3336396Z 2023-07-07T19:51:39.3336510Z Stop one or more running containers 2023-07-07T19:51:39.3511473Z Total reclaimed space: 0B 2023-07-07T19:51:39.3537212Z ##[group]Run set +e 2023-07-07T19:51:39.3537475Z set +e 2023-07-07T19:51:39.3537691Z set -x 2023-07-07T19:51:39.3537859Z  2023-07-07T19:51:39.3538052Z PT_DOMAIN=download.pytorch.org 2023-07-07T19:51:39.3538394Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2023-07-07T19:51:39.3538782Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2023-07-07T19:51:39.3539067Z # one is returned at random 2023-07-07T19:51:39.3539304Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2023-07-07T19:51:39.3539523Z  2023-07-07T19:51:39.3539710Z if [ -z "${RESOLVED_IP}" ]; then 2023-07-07T19:51:39.3539962Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2023-07-07T19:51:39.3540400Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2023-07-07T19:51:39.3540624Z  2023-07-07T19:51:39.3540818Z  if [ -z "${RESOLVED_IP}" ]; then 2023-07-07T19:51:39.3541055Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2023-07-07T19:51:39.3541281Z  exit 1 2023-07-07T19:51:39.3541452Z  fi 2023-07-07T19:51:39.3541602Z fi 2023-07-07T19:51:39.3541762Z  2023-07-07T19:51:39.3541965Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2023-07-07T19:51:39.3542191Z  # Clean up any old records first 2023-07-07T19:51:39.3542424Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2023-07-07T19:51:39.3542625Z fi 2023-07-07T19:51:39.3542772Z  2023-07-07T19:51:39.3542993Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2023-07-07T19:51:39.3543225Z cat /etc/hosts 2023-07-07T19:51:39.3554147Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:39.3554371Z env: 2023-07-07T19:51:39.3554783Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.3554982Z ##[endgroup] 2023-07-07T19:51:39.3578616Z + PT_DOMAIN=download.pytorch.org 2023-07-07T19:51:39.3583921Z ++ dig -4 +short download.pytorch.org 2023-07-07T19:51:39.3584193Z ++ tail -n1 2023-07-07T19:51:39.4415544Z + RESOLVED_IP=18.160.10.76 2023-07-07T19:51:39.4415915Z + '[' -z 18.160.10.76 ']' 2023-07-07T19:51:39.4416187Z + grep -r download.pytorch.org /etc/hosts 2023-07-07T19:51:39.4423925Z 13.224.214.84 download.pytorch.org 2023-07-07T19:51:39.4424843Z + sudo sed -i /download.pytorch.org/d /etc/hosts 2023-07-07T19:51:39.4533960Z + echo '18.160.10.76 download.pytorch.org' 2023-07-07T19:51:39.4922866Z + sudo tee -a /etc/hosts 2023-07-07T19:51:39.4923198Z 18.160.10.76 download.pytorch.org 2023-07-07T19:51:39.4936612Z + cat /etc/hosts 2023-07-07T19:51:39.4943749Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2023-07-07T19:51:39.4956666Z ::1 localhost6 localhost6.localdomain6 2023-07-07T19:51:39.4956980Z 18.160.10.76 download.pytorch.org 2023-07-07T19:51:39.5001834Z Prepare all required actions 2023-07-07T19:51:39.5044342Z ##[group]Run ./.github/actions/calculate-docker-image 2023-07-07T19:51:39.5044728Z with: 2023-07-07T19:51:39.5045119Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5045494Z xla: false 2023-07-07T19:51:39.5045670Z skip_push: true 2023-07-07T19:51:39.5045826Z env: 2023-07-07T19:51:39.5046003Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.5046194Z ##[endgroup] 2023-07-07T19:51:39.5059418Z ##[group]Run set -x 2023-07-07T19:51:39.5059654Z set -x 2023-07-07T19:51:39.5059914Z DOCKER_IMAGE_ECR_PREFIX="308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch" 2023-07-07T19:51:39.5060178Z  2023-07-07T19:51:39.5060407Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_IMAGE_ECR_PREFIX}"* ]]; then 2023-07-07T19:51:39.5060774Z  # The docker image name already includes the ECR prefix and tag, so we can just 2023-07-07T19:51:39.5061067Z  # use it as it is, but first let's extract the tag 2023-07-07T19:51:39.5061350Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2023-07-07T19:51:39.5061641Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5061932Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5062151Z else 2023-07-07T19:51:39.5062392Z  DOCKER_IMAGE_BASE="${DOCKER_IMAGE_ECR_PREFIX}/${DOCKER_IMAGE_NAME}" 2023-07-07T19:51:39.5062627Z  2023-07-07T19:51:39.5062796Z  if [ -n "${IS_XLA}" ]; then 2023-07-07T19:51:39.5063063Z  echo "XLA workflow uses pre-built test image at ${XLA_IMAGE_TAG}" 2023-07-07T19:51:39.5063351Z  DOCKER_TAG=$(git rev-parse HEAD:.ci/docker) 2023-07-07T19:51:39.5063737Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5064041Z  echo "docker-image=${DOCKER_IMAGE_BASE}:${XLA_IMAGE_TAG}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5064293Z  else 2023-07-07T19:51:39.5064513Z  DOCKER_TAG=$(git rev-parse HEAD:.ci/docker) 2023-07-07T19:51:39.5064771Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5065075Z  echo "docker-image=${DOCKER_IMAGE_BASE}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5065322Z  fi 2023-07-07T19:51:39.5065484Z fi 2023-07-07T19:51:39.5076225Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:39.5076449Z env: 2023-07-07T19:51:39.5076623Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.5076795Z IS_XLA: 2023-07-07T19:51:39.5076967Z XLA_IMAGE_TAG: v1.0 2023-07-07T19:51:39.5077358Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5077728Z ##[endgroup] 2023-07-07T19:51:39.5101227Z + DOCKER_IMAGE_ECR_PREFIX=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch 2023-07-07T19:51:39.5102413Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2023-07-07T19:51:39.5107193Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5107929Z ++ awk -F '[:,]' '{print $2}' 2023-07-07T19:51:39.5116631Z + DOCKER_TAG=4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5117050Z + echo docker-tag=4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5117624Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5153909Z ##[group]Run set -x 2023-07-07T19:51:39.5154193Z set -x 2023-07-07T19:51:39.5154479Z # Check if image already exists, if it does then skip building it 2023-07-07T19:51:39.5154891Z if docker manifest inspect "${DOCKER_IMAGE}"; then 2023-07-07T19:51:39.5155147Z  exit 0 2023-07-07T19:51:39.5155350Z fi 2023-07-07T19:51:39.5155600Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2023-07-07T19:51:39.5155923Z  # if we're on the base branch then use the parent commit 2023-07-07T19:51:39.5156223Z  MERGE_BASE=$(git rev-parse HEAD~) 2023-07-07T19:51:39.5156478Z else 2023-07-07T19:51:39.5156753Z  # otherwise we're on a PR, so use the most recent base commit 2023-07-07T19:51:39.5157080Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2023-07-07T19:51:39.5157323Z fi 2023-07-07T19:51:39.5157607Z # Covers the case where a previous tag doesn't exist for the tree 2023-07-07T19:51:39.5157992Z # this is only really applicable on trees that don't have `.ci/docker` at its merge base, i.e. nightly 2023-07-07T19:51:39.5158340Z if ! git rev-parse "$MERGE_BASE:.ci/docker"; then 2023-07-07T19:51:39.5158720Z  echo "Directory '.ci/docker' not found in commit $MERGE_BASE, you should probably rebase onto a more recent commit" 2023-07-07T19:51:39.5159045Z  exit 1 2023-07-07T19:51:39.5159247Z fi 2023-07-07T19:51:39.5159503Z PREVIOUS_DOCKER_TAG=$(git rev-parse "$MERGE_BASE:.ci/docker") 2023-07-07T19:51:39.5159876Z # If no image exists but the hash is the same as the previous hash then we should error out here 2023-07-07T19:51:39.5160224Z if [[ "${PREVIOUS_DOCKER_TAG}" = "${DOCKER_TAG}" ]]; then 2023-07-07T19:51:39.5160593Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2023-07-07T19:51:39.5161099Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2023-07-07T19:51:39.5161467Z  # NOTE: DOCKER_FORCE_PUSH will always be set to true for docker-builds.yml 2023-07-07T19:51:39.5161793Z  if [[ "${DOCKER_FORCE_PUSH}" != "true" ]]; then 2023-07-07T19:51:39.5162113Z  # In order to avoid a stampeding herd of jobs trying to push all at once we set it to 2023-07-07T19:51:39.5162499Z  # skip the push. If this is negatively affecting TTS across the board the suggestion 2023-07-07T19:51:39.5162892Z  # should be to run the docker-builds.yml workflow to generate the correct docker builds 2023-07-07T19:51:39.5163238Z  echo "skip_push=true" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5163466Z  fi 2023-07-07T19:51:39.5163663Z fi 2023-07-07T19:51:39.5163899Z echo "rebuild=yes" >> "${GITHUB_OUTPUT}" 2023-07-07T19:51:39.5174572Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:39.5174836Z env: 2023-07-07T19:51:39.5175048Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.5175306Z BASE_REVISION: 1a661639f77a172df5d1ccd6987049292c6f3440 2023-07-07T19:51:39.5175761Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5176206Z DOCKER_TAG: 4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.5176469Z DOCKER_FORCE_PUSH: 2023-07-07T19:51:39.5176670Z ##[endgroup] 2023-07-07T19:51:39.5201722Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.7642739Z { 2023-07-07T19:51:39.7643206Z "schemaVersion": 2, 2023-07-07T19:51:39.7643787Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2023-07-07T19:51:39.7644102Z "config": { 2023-07-07T19:51:39.7644596Z "mediaType": "application/vnd.docker.container.image.v1+json", 2023-07-07T19:51:39.7645355Z "size": 33796, 2023-07-07T19:51:39.7645838Z "digest": "sha256:f82cd72113d8deec648414c531c6b726c27d529ced8ebabe620bd4535e4d36c1" 2023-07-07T19:51:39.7646408Z }, 2023-07-07T19:51:39.7646766Z "layers": [ 2023-07-07T19:51:39.7646949Z { 2023-07-07T19:51:39.7647252Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7647727Z "size": 28580012, 2023-07-07T19:51:39.7648113Z "digest": "sha256:0fb668748fc8bb961f4580895692ae741be788857ac2e8220adc2265ffb38e10" 2023-07-07T19:51:39.7648665Z }, 2023-07-07T19:51:39.7649046Z { 2023-07-07T19:51:39.7655535Z + exit 0 2023-07-07T19:51:39.7656487Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7656819Z "size": 2064, 2023-07-07T19:51:39.7657139Z "digest": "sha256:f4474cb8a5938642655b03cd93fdd39f36a6cfdaad79dfc5b45897eb45eb506f" 2023-07-07T19:51:39.7657437Z }, 2023-07-07T19:51:39.7657590Z { 2023-07-07T19:51:39.7657867Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7658123Z "size": 312585238, 2023-07-07T19:51:39.7659003Z "digest": "sha256:9902ae55a4876465a9405c47b40a8ffe8c79a6b9149ce9c5834f5af3ca3a87c6" 2023-07-07T19:51:39.7660413Z }, 2023-07-07T19:51:39.7660657Z { 2023-07-07T19:51:39.7661061Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7661522Z "size": 803, 2023-07-07T19:51:39.7661974Z "digest": 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"sha256:378caf471143be17bcc7a058d6899f7c2e0949ce7416a7b5cdf98de6a9b3d372" 2023-07-07T19:51:39.7782909Z }, 2023-07-07T19:51:39.7783059Z { 2023-07-07T19:51:39.7783305Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7783565Z "size": 106, 2023-07-07T19:51:39.7783844Z "digest": "sha256:6a05787b0fe97f8c2a3a68a7e3973feedc6eb2546acb500ec9b6da9914f57778" 2023-07-07T19:51:39.7784091Z }, 2023-07-07T19:51:39.7784243Z { 2023-07-07T19:51:39.7784499Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7784748Z "size": 402, 2023-07-07T19:51:39.7785014Z "digest": "sha256:d356398f0b31867a2ed3b7e4604f39a15bd139e5270e90556ddc91c1b8dce986" 2023-07-07T19:51:39.7785254Z }, 2023-07-07T19:51:39.7785393Z { 2023-07-07T19:51:39.7785650Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7785913Z "size": 20262049, 2023-07-07T19:51:39.7786180Z "digest": "sha256:ea4a4e6ee6f054018e703cf232c8947a1dfb4c2396050b8dfaab9bff1e642ecb" 2023-07-07T19:51:39.7786444Z }, 2023-07-07T19:51:39.7786596Z { 2023-07-07T19:51:39.7786901Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7787198Z "size": 108, 2023-07-07T19:51:39.7787458Z "digest": "sha256:a7d251c13e2384126f95a6a43682610f08953670915f006d938bf3febe1b723c" 2023-07-07T19:51:39.7787696Z }, 2023-07-07T19:51:39.7787834Z { 2023-07-07T19:51:39.7788089Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7788394Z "size": 380, 2023-07-07T19:51:39.7788652Z "digest": "sha256:f074b84bb7526caad0d8dd170dc1426c29838b4b444d5d565f62a0c247eac3da" 2023-07-07T19:51:39.7788909Z }, 2023-07-07T19:51:39.7789060Z { 2023-07-07T19:51:39.7789303Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7789686Z "size": 700, 2023-07-07T19:51:39.7789957Z "digest": "sha256:0c71db92c94e7882373df9f0ec39da0aa29421a85351124fca7fe40e225a6605" 2023-07-07T19:51:39.7790198Z }, 2023-07-07T19:51:39.7790357Z { 2023-07-07T19:51:39.7790617Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7790864Z "size": 118, 2023-07-07T19:51:39.7791126Z "digest": "sha256:c7eeb446234670d8cb4895d0875cb0c047e83c339911e3420a8141f87735bf55" 2023-07-07T19:51:39.7791370Z }, 2023-07-07T19:51:39.7791509Z { 2023-07-07T19:51:39.7791769Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7792025Z "size": 138, 2023-07-07T19:51:39.7792300Z "digest": "sha256:a6cd7e7da457af3f8eeb9987c5dfc6a41d07f5e1f7e39e18d31a0c42112fd408" 2023-07-07T19:51:39.7792566Z }, 2023-07-07T19:51:39.7792716Z { 2023-07-07T19:51:39.7792974Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7793216Z "size": 188, 2023-07-07T19:51:39.7793475Z "digest": "sha256:0d08b227985cfe130750fe635a78ab45e77d6605e7edb5c0078799660797aff9" 2023-07-07T19:51:39.7793711Z }, 2023-07-07T19:51:39.7793849Z { 2023-07-07T19:51:39.7794104Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7794448Z "size": 1144, 2023-07-07T19:51:39.7794799Z "digest": "sha256:36ae80cf4f176073a94198f5031ee7f08eea5bfbca36282bfbe7ace45ecc0be1" 2023-07-07T19:51:39.7795057Z }, 2023-07-07T19:51:39.7795213Z { 2023-07-07T19:51:39.7795457Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7795716Z "size": 700, 2023-07-07T19:51:39.7795987Z "digest": "sha256:0c71db92c94e7882373df9f0ec39da0aa29421a85351124fca7fe40e225a6605" 2023-07-07T19:51:39.7796227Z }, 2023-07-07T19:51:39.7796375Z { 2023-07-07T19:51:39.7796630Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7796875Z "size": 136, 2023-07-07T19:51:39.7797139Z "digest": "sha256:ad4a0b75e3860be1e038bd7010680424f760f9068abc87d43a59111549d5e662" 2023-07-07T19:51:39.7797382Z }, 2023-07-07T19:51:39.7797517Z { 2023-07-07T19:51:39.7797776Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7798038Z "size": 153, 2023-07-07T19:51:39.7798325Z "digest": "sha256:48b6bcfa1e976dfceda45d2c438deeb6775465d55f59162b519bbd6b53763d52" 2023-07-07T19:51:39.7798574Z }, 2023-07-07T19:51:39.7798722Z { 2023-07-07T19:51:39.7798973Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7799215Z "size": 1410, 2023-07-07T19:51:39.7799500Z "digest": "sha256:648b48e24e41bbca601be4b9fdfed173ca44dc9e5b6fffe52d12adb30d91079f" 2023-07-07T19:51:39.7799765Z }, 2023-07-07T19:51:39.7799902Z { 2023-07-07T19:51:39.7800159Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7800417Z "size": 316148905, 2023-07-07T19:51:39.7800672Z "digest": "sha256:d82e04bd0f211082e2a5243ad763008129e5f5fc2d67e144ff529f277592e704" 2023-07-07T19:51:39.7800920Z }, 2023-07-07T19:51:39.7801069Z { 2023-07-07T19:51:39.7801308Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7801568Z "size": 128, 2023-07-07T19:51:39.7801918Z "digest": "sha256:d9a6bc77bb2757bc59191f65de9943b52d6ee7b10c859a70fd62ec3dd602b77c" 2023-07-07T19:51:39.7802162Z }, 2023-07-07T19:51:39.7802350Z { 2023-07-07T19:51:39.7802605Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7802866Z "size": 1840, 2023-07-07T19:51:39.7803124Z "digest": "sha256:3b88fd19f00108fc29ff81af1177939ae000a9889faaafcae00744fc413553d8" 2023-07-07T19:51:39.7803374Z }, 2023-07-07T19:51:39.7803526Z { 2023-07-07T19:51:39.7803770Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7804030Z "size": 7529649, 2023-07-07T19:51:39.7804302Z "digest": "sha256:01fd2964028c6b1e0ecd09c90918a5699a7a0f5f377c74cfb1d485540c848387" 2023-07-07T19:51:39.7804702Z }, 2023-07-07T19:51:39.7804857Z { 2023-07-07T19:51:39.7805117Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7805362Z "size": 164, 2023-07-07T19:51:39.7805645Z "digest": "sha256:10e3509d77afc2b60c9454da172e959fb12b6f7cfd759c27df230d03df093b58" 2023-07-07T19:51:39.7805900Z }, 2023-07-07T19:51:39.7806036Z { 2023-07-07T19:51:39.7806291Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7806547Z "size": 7938, 2023-07-07T19:51:39.7806817Z "digest": "sha256:08ab205d342ea16f253c1fb8c9208d222edece129e4c45492e6f9d97bbc336f0" 2023-07-07T19:51:39.7807056Z }, 2023-07-07T19:51:39.7807204Z { 2023-07-07T19:51:39.7807457Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7807701Z "size": 8069, 2023-07-07T19:51:39.7807962Z "digest": "sha256:fc7820e5c19746383f41050be09957b851a131b83f71d6feb786a0a56f7ce889" 2023-07-07T19:51:39.7808199Z }, 2023-07-07T19:51:39.7808334Z { 2023-07-07T19:51:39.7808587Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7808845Z "size": 302, 2023-07-07T19:51:39.7809105Z "digest": "sha256:e3581503cffc3e7c01a616d7c5d5f0f47aad3574504f2fe81a415a4779baad5a" 2023-07-07T19:51:39.7809469Z }, 2023-07-07T19:51:39.7809626Z { 2023-07-07T19:51:39.7809868Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7810128Z "size": 108, 2023-07-07T19:51:39.7810404Z "digest": "sha256:6befbd90d68adf257560ec6f4e16805b455979371cae7a7fe8903233af371354" 2023-07-07T19:51:39.7810647Z }, 2023-07-07T19:51:39.7810803Z { 2023-07-07T19:51:39.7811060Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2023-07-07T19:51:39.7811308Z "size": 54145477, 2023-07-07T19:51:39.7811590Z "digest": "sha256:72e5ff24db849f549a3bdbdeb6a16252019349adebc5352dcde0373bba089d8f" 2023-07-07T19:51:39.7811855Z } 2023-07-07T19:51:39.7811991Z ] 2023-07-07T19:51:39.7812137Z } 2023-07-07T19:51:39.7907728Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2023-07-07T19:51:39.7907993Z with: 2023-07-07T19:51:39.7908361Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.7908719Z env: 2023-07-07T19:51:39.7908894Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.7909084Z ##[endgroup] 2023-07-07T19:51:39.7920535Z ##[group]Run retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2023-07-07T19:51:39.7920817Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2023-07-07T19:51:39.7921099Z # ignore output since only exit code is used for conditional 2023-07-07T19:51:39.7921395Z # only pull docker image if it's not available locally 2023-07-07T19:51:39.7921692Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2023-07-07T19:51:39.7922212Z  retry docker pull "${DOCKER_IMAGE}" 2023-07-07T19:51:39.7922406Z fi 2023-07-07T19:51:39.7933394Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:51:39.7933618Z env: 2023-07-07T19:51:39.7933796Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:51:39.7934180Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:51:39.7934542Z ##[endgroup] 2023-07-07T19:51:40.0776604Z 4dd31bf90685b3aeac59044e6b16ee8e9fc59987: Pulling from pytorch/pytorch-linux-focal-py3-clang10-onnx 2023-07-07T19:51:40.0809621Z 0fb668748fc8: Pulling fs layer 2023-07-07T19:51:40.0811185Z f4474cb8a593: Pulling fs layer 2023-07-07T19:51:40.0811686Z 9902ae55a487: Pulling fs layer 2023-07-07T19:51:40.0813113Z a2e7354ae13c: Pulling fs layer 2023-07-07T19:51:40.0813492Z dfb400292413: Pulling fs layer 2023-07-07T19:51:40.0813850Z a033849c1c99: Pulling fs layer 2023-07-07T19:51:40.0814050Z 616dd6a8139d: Pulling fs layer 2023-07-07T19:51:40.0814300Z e7c2684b84e5: Pulling fs layer 2023-07-07T19:51:40.0814663Z cf3c1df16427: Pulling fs layer 2023-07-07T19:51:40.0815038Z e8d600f66bc9: Pulling fs layer 2023-07-07T19:51:40.0815414Z e3294d8c1237: Pulling fs layer 2023-07-07T19:51:40.0815715Z 7554532b68dc: Pulling fs layer 2023-07-07T19:51:40.0815964Z 1da5d32ab2ea: Pulling fs layer 2023-07-07T19:51:40.0816382Z 0c71db92c94e: Pulling fs layer 2023-07-07T19:51:40.0816746Z 536508f41bd3: Pulling fs layer 2023-07-07T19:51:40.0817061Z dfb400292413: Waiting 2023-07-07T19:51:40.0817419Z bdf109315316: Pulling fs layer 2023-07-07T19:51:40.0817743Z 4c080d4a767b: Pulling fs layer 2023-07-07T19:51:40.0818082Z a033849c1c99: Waiting 2023-07-07T19:51:40.0818411Z c8e7844fb6cf: Pulling fs layer 2023-07-07T19:51:40.0818766Z 8456ebba6f2b: Pulling fs layer 2023-07-07T19:51:40.0819112Z 616dd6a8139d: Waiting 2023-07-07T19:51:40.0819425Z ae8ac0964694: Pulling fs layer 2023-07-07T19:51:40.0819764Z e7c2684b84e5: Waiting 2023-07-07T19:51:40.0820119Z 7b7e05d1d035: Pulling fs layer 2023-07-07T19:51:40.0820533Z a2e7354ae13c: Waiting 2023-07-07T19:51:40.0820853Z be7705addaf2: Pulling fs layer 2023-07-07T19:51:40.0821209Z 6d799d2236bd: Pulling fs layer 2023-07-07T19:51:40.0821564Z 7554532b68dc: Waiting 2023-07-07T19:51:40.0822165Z cf3c1df16427: Waiting 2023-07-07T19:51:40.0822509Z e9987880bc2e: Pulling fs layer 2023-07-07T19:51:40.0822865Z 1da5d32ab2ea: Waiting 2023-07-07T19:51:40.0823207Z ebee29e5e39b: Pulling fs layer 2023-07-07T19:51:40.0823541Z e8d600f66bc9: Waiting 2023-07-07T19:51:40.0823908Z 6c9d2c39e074: Pulling fs layer 2023-07-07T19:51:40.0824241Z 0c71db92c94e: Waiting 2023-07-07T19:51:40.0824425Z e3294d8c1237: Waiting 2023-07-07T19:51:40.0824611Z 0bb55b7c2afe: Pulling fs layer 2023-07-07T19:51:40.0824786Z c8e7844fb6cf: Waiting 2023-07-07T19:51:40.0824957Z 536508f41bd3: Waiting 2023-07-07T19:51:40.0825142Z 8d80635dd57a: Pulling fs layer 2023-07-07T19:51:40.0825326Z 0dad89a625d4: Pulling fs layer 2023-07-07T19:51:40.0825520Z 77e45e53f705: Pulling fs layer 2023-07-07T19:51:40.0825828Z 5223260a4bd7: Pulling fs layer 2023-07-07T19:51:40.0826016Z 6b12c963b7ba: Pulling fs layer 2023-07-07T19:51:40.0826203Z 8456ebba6f2b: Waiting 2023-07-07T19:51:40.0826621Z c6facf506b1f: Pulling fs layer 2023-07-07T19:51:40.0826851Z ae8ac0964694: Waiting 2023-07-07T19:51:40.0827091Z 7c33616ec2c8: Pulling fs layer 2023-07-07T19:51:40.0827333Z 5cf45d7c8bd8: Pulling fs layer 2023-07-07T19:51:40.0827564Z 7b7e05d1d035: Waiting 2023-07-07T19:51:40.0827866Z 63ab2c65a45d: Pulling fs layer 2023-07-07T19:51:40.0828322Z be7705addaf2: Waiting 2023-07-07T19:51:40.0828703Z 5f97eab5811d: Pulling fs layer 2023-07-07T19:51:40.0829060Z ba07078a7294: Pulling fs layer 2023-07-07T19:51:40.0829393Z 3c31a3aa9b92: Pulling fs layer 2023-07-07T19:51:40.0829617Z ce416a9d7912: Pulling fs layer 2023-07-07T19:51:40.0829807Z 6d799d2236bd: Waiting 2023-07-07T19:51:40.0829997Z 49420f16a57a: Pulling fs layer 2023-07-07T19:51:40.0830179Z 318f75a73bf0: Pulling fs layer 2023-07-07T19:51:40.0830362Z e9987880bc2e: Waiting 2023-07-07T19:51:40.0830567Z cf80a7fcfc26: Pulling fs layer 2023-07-07T19:51:40.0830766Z b89148d948d3: Pulling fs layer 2023-07-07T19:51:40.0830953Z 6d817a9e6f0f: Pulling fs layer 2023-07-07T19:51:40.0831151Z 378caf471143: Pulling fs layer 2023-07-07T19:51:40.0831349Z 6c9d2c39e074: Waiting 2023-07-07T19:51:40.0831517Z ebee29e5e39b: Waiting 2023-07-07T19:51:40.0831707Z 6a05787b0fe9: Pulling fs layer 2023-07-07T19:51:40.0831903Z d356398f0b31: Pulling fs layer 2023-07-07T19:51:40.0832075Z 4c080d4a767b: Waiting 2023-07-07T19:51:40.0832264Z ea4a4e6ee6f0: Pulling fs layer 2023-07-07T19:51:40.0832453Z 8d80635dd57a: Waiting 2023-07-07T19:51:40.0832628Z a7d251c13e23: Pulling fs layer 2023-07-07T19:51:40.0832816Z 5f97eab5811d: Waiting 2023-07-07T19:51:40.0833004Z f074b84bb752: Pulling fs layer 2023-07-07T19:51:40.0833178Z 0bb55b7c2afe: Waiting 2023-07-07T19:51:40.0833352Z 0dad89a625d4: Waiting 2023-07-07T19:51:40.0833531Z c6facf506b1f: Waiting 2023-07-07T19:51:40.0833693Z ba07078a7294: Waiting 2023-07-07T19:51:40.0833869Z 77e45e53f705: Waiting 2023-07-07T19:51:40.0834042Z 5cf45d7c8bd8: Waiting 2023-07-07T19:51:40.0834215Z c7eeb4462346: Pulling fs layer 2023-07-07T19:51:40.0834399Z 7c33616ec2c8: Waiting 2023-07-07T19:51:40.0834661Z a6cd7e7da457: Pulling fs layer 2023-07-07T19:51:40.0834843Z 5223260a4bd7: Waiting 2023-07-07T19:51:40.0835016Z 6b12c963b7ba: Waiting 2023-07-07T19:51:40.0835191Z 3c31a3aa9b92: Waiting 2023-07-07T19:51:40.0835364Z 0d08b227985c: Pulling fs layer 2023-07-07T19:51:40.0835552Z cf80a7fcfc26: Waiting 2023-07-07T19:51:40.0835731Z ea4a4e6ee6f0: Waiting 2023-07-07T19:51:40.0835893Z 378caf471143: Waiting 2023-07-07T19:51:40.0836085Z 36ae80cf4f17: Pulling fs layer 2023-07-07T19:51:40.0836276Z ce416a9d7912: Waiting 2023-07-07T19:51:40.0836436Z a7d251c13e23: Waiting 2023-07-07T19:51:40.0836747Z b89148d948d3: Waiting 2023-07-07T19:51:40.0836918Z 6a05787b0fe9: Waiting 2023-07-07T19:51:40.0837088Z 49420f16a57a: Waiting 2023-07-07T19:51:40.0837243Z d356398f0b31: Waiting 2023-07-07T19:51:40.0837559Z ad4a0b75e386: Pulling fs layer 2023-07-07T19:51:40.0837911Z 6d817a9e6f0f: Waiting 2023-07-07T19:51:40.0838223Z 48b6bcfa1e97: Pulling fs layer 2023-07-07T19:51:40.0838540Z 318f75a73bf0: Waiting 2023-07-07T19:51:40.0838780Z 648b48e24e41: Pulling fs layer 2023-07-07T19:51:40.0839087Z 0d08b227985c: Waiting 2023-07-07T19:51:40.0839279Z f074b84bb752: Waiting 2023-07-07T19:51:40.0839473Z d82e04bd0f21: Pulling fs layer 2023-07-07T19:51:40.0839648Z 36ae80cf4f17: Waiting 2023-07-07T19:51:40.0839821Z c7eeb4462346: Waiting 2023-07-07T19:51:40.0840005Z d9a6bc77bb27: Pulling fs layer 2023-07-07T19:51:40.0840180Z a6cd7e7da457: Waiting 2023-07-07T19:51:40.0840365Z 3b88fd19f001: Pulling fs layer 2023-07-07T19:51:40.0840551Z ad4a0b75e386: Waiting 2023-07-07T19:51:40.0840715Z 48b6bcfa1e97: Waiting 2023-07-07T19:51:40.0840897Z 01fd2964028c: Pulling fs layer 2023-07-07T19:51:40.0841081Z d82e04bd0f21: Waiting 2023-07-07T19:51:40.0841253Z 10e3509d77af: Pulling fs layer 2023-07-07T19:51:40.0841436Z 648b48e24e41: Waiting 2023-07-07T19:51:40.0841733Z d9a6bc77bb27: Waiting 2023-07-07T19:51:40.0841913Z 08ab205d342e: Pulling fs layer 2023-07-07T19:51:40.0842099Z 3b88fd19f001: Waiting 2023-07-07T19:51:40.0842272Z 01fd2964028c: Waiting 2023-07-07T19:51:40.0842444Z fc7820e5c197: Pulling fs layer 2023-07-07T19:51:40.0842651Z e3581503cffc: Pulling fs layer 2023-07-07T19:51:40.0842842Z bdf109315316: Waiting 2023-07-07T19:51:40.0843022Z 6befbd90d68a: Pulling fs layer 2023-07-07T19:51:40.0843216Z fc7820e5c197: Waiting 2023-07-07T19:51:40.0843407Z 72e5ff24db84: Pulling fs layer 2023-07-07T19:51:40.0843582Z 72e5ff24db84: Waiting 2023-07-07T19:51:40.1764656Z f4474cb8a593: Verifying Checksum 2023-07-07T19:51:40.1765166Z f4474cb8a593: Download complete 2023-07-07T19:51:40.2583534Z a2e7354ae13c: Verifying Checksum 2023-07-07T19:51:40.2584012Z a2e7354ae13c: Download complete 2023-07-07T19:51:40.6560266Z 0fb668748fc8: Verifying Checksum 2023-07-07T19:51:40.6560586Z 0fb668748fc8: Download complete 2023-07-07T19:51:40.7824454Z a033849c1c99: Verifying Checksum 2023-07-07T19:51:40.7824882Z a033849c1c99: Download complete 2023-07-07T19:51:40.8841831Z 616dd6a8139d: Download complete 2023-07-07T19:51:40.9667597Z e7c2684b84e5: Verifying Checksum 2023-07-07T19:51:40.9668010Z e7c2684b84e5: Download complete 2023-07-07T19:51:41.0574849Z cf3c1df16427: Verifying Checksum 2023-07-07T19:51:41.0575192Z cf3c1df16427: Download complete 2023-07-07T19:51:41.1397350Z e8d600f66bc9: Verifying Checksum 2023-07-07T19:51:41.1398106Z e8d600f66bc9: Download complete 2023-07-07T19:51:41.1998722Z e3294d8c1237: Download complete 2023-07-07T19:51:41.2997150Z 7554532b68dc: Verifying Checksum 2023-07-07T19:51:41.2997522Z 7554532b68dc: Download complete 2023-07-07T19:51:41.3074638Z 0fb668748fc8: Pull complete 2023-07-07T19:51:41.3903270Z 1da5d32ab2ea: Verifying Checksum 2023-07-07T19:51:41.3903552Z 1da5d32ab2ea: Download complete 2023-07-07T19:51:41.4313297Z f4474cb8a593: Pull complete 2023-07-07T19:51:41.4757277Z 0c71db92c94e: Verifying Checksum 2023-07-07T19:51:41.4757715Z 0c71db92c94e: Download complete 2023-07-07T19:51:42.8690710Z dfb400292413: Verifying Checksum 2023-07-07T19:51:42.8691101Z dfb400292413: Download complete 2023-07-07T19:51:43.0035589Z bdf109315316: Verifying Checksum 2023-07-07T19:51:43.0035882Z bdf109315316: Download complete 2023-07-07T19:51:43.0826015Z 4c080d4a767b: Verifying Checksum 2023-07-07T19:51:43.0826282Z 4c080d4a767b: Download complete 2023-07-07T19:51:43.1843635Z c8e7844fb6cf: Download complete 2023-07-07T19:51:43.3696083Z 8456ebba6f2b: Verifying Checksum 2023-07-07T19:51:43.3696351Z 8456ebba6f2b: Download complete 2023-07-07T19:51:43.5451083Z ae8ac0964694: Verifying Checksum 2023-07-07T19:51:43.5451371Z ae8ac0964694: Download complete 2023-07-07T19:51:43.6640165Z 7b7e05d1d035: Verifying Checksum 2023-07-07T19:51:43.6640532Z 7b7e05d1d035: Download complete 2023-07-07T19:51:43.7876432Z be7705addaf2: Verifying Checksum 2023-07-07T19:51:43.7876820Z be7705addaf2: Download complete 2023-07-07T19:51:43.9529133Z 6d799d2236bd: Download complete 2023-07-07T19:51:44.0910368Z e9987880bc2e: Download complete 2023-07-07T19:51:47.9492477Z ebee29e5e39b: Verifying Checksum 2023-07-07T19:51:47.9492877Z ebee29e5e39b: Download complete 2023-07-07T19:51:48.0282907Z 6c9d2c39e074: Verifying Checksum 2023-07-07T19:51:48.0283335Z 6c9d2c39e074: Download complete 2023-07-07T19:51:48.1284270Z 0bb55b7c2afe: Verifying Checksum 2023-07-07T19:51:48.1284708Z 0bb55b7c2afe: Download complete 2023-07-07T19:51:48.2377340Z 8d80635dd57a: Verifying Checksum 2023-07-07T19:51:48.2377738Z 8d80635dd57a: Download complete 2023-07-07T19:51:48.3318544Z 0dad89a625d4: Download complete 2023-07-07T19:51:48.4152489Z 77e45e53f705: Verifying Checksum 2023-07-07T19:51:48.4152779Z 77e45e53f705: Download complete 2023-07-07T19:51:48.9746727Z 9902ae55a487: Download complete 2023-07-07T19:51:49.0783485Z 6b12c963b7ba: Verifying Checksum 2023-07-07T19:51:49.0783882Z 6b12c963b7ba: Download complete 2023-07-07T19:51:49.1680542Z c6facf506b1f: Verifying Checksum 2023-07-07T19:51:49.1681148Z c6facf506b1f: Download complete 2023-07-07T19:51:49.2658152Z 7c33616ec2c8: Download complete 2023-07-07T19:51:49.3851203Z 5cf45d7c8bd8: Verifying Checksum 2023-07-07T19:51:49.3852214Z 5cf45d7c8bd8: Download complete 2023-07-07T19:51:49.4732457Z 63ab2c65a45d: Verifying Checksum 2023-07-07T19:51:49.4732888Z 63ab2c65a45d: Download complete 2023-07-07T19:51:49.5934029Z 5f97eab5811d: Verifying Checksum 2023-07-07T19:51:49.5934336Z 5f97eab5811d: Download complete 2023-07-07T19:51:49.6892281Z ba07078a7294: Download complete 2023-07-07T19:51:49.7814921Z 3c31a3aa9b92: Verifying Checksum 2023-07-07T19:51:49.7815383Z 3c31a3aa9b92: Download complete 2023-07-07T19:51:49.8782899Z ce416a9d7912: Verifying Checksum 2023-07-07T19:51:49.8783323Z ce416a9d7912: Download complete 2023-07-07T19:51:49.9713655Z 49420f16a57a: Download complete 2023-07-07T19:51:50.0652664Z 318f75a73bf0: Verifying Checksum 2023-07-07T19:51:50.0653043Z 318f75a73bf0: Download complete 2023-07-07T19:51:50.1588501Z cf80a7fcfc26: Verifying Checksum 2023-07-07T19:51:50.1588944Z cf80a7fcfc26: Download complete 2023-07-07T19:51:51.4248874Z b89148d948d3: Verifying Checksum 2023-07-07T19:51:51.4249235Z b89148d948d3: Download complete 2023-07-07T19:51:51.5189882Z 6d817a9e6f0f: Download complete 2023-07-07T19:51:51.6220442Z 378caf471143: Verifying Checksum 2023-07-07T19:51:51.6220964Z 378caf471143: Download complete 2023-07-07T19:51:55.0962620Z 9902ae55a487: Pull complete 2023-07-07T19:51:55.2845424Z a2e7354ae13c: Pull complete 2023-07-07T19:51:55.4887586Z 6a05787b0fe9: Verifying Checksum 2023-07-07T19:51:55.4887968Z 6a05787b0fe9: Download complete 2023-07-07T19:51:55.5742340Z d356398f0b31: Verifying Checksum 2023-07-07T19:51:55.5742891Z d356398f0b31: Download complete 2023-07-07T19:51:55.8385652Z ea4a4e6ee6f0: Verifying Checksum 2023-07-07T19:51:55.8386105Z ea4a4e6ee6f0: Download complete 2023-07-07T19:51:55.9449346Z a7d251c13e23: Verifying Checksum 2023-07-07T19:51:55.9449761Z a7d251c13e23: Download complete 2023-07-07T19:51:56.0391084Z f074b84bb752: Verifying Checksum 2023-07-07T19:51:56.0391348Z f074b84bb752: Download complete 2023-07-07T19:51:56.1405971Z c7eeb4462346: Download complete 2023-07-07T19:51:56.2530986Z a6cd7e7da457: Download complete 2023-07-07T19:51:56.3501809Z 0d08b227985c: Verifying Checksum 2023-07-07T19:51:56.3502185Z 0d08b227985c: Download complete 2023-07-07T19:51:56.4336857Z 36ae80cf4f17: Download complete 2023-07-07T19:51:56.5339715Z ad4a0b75e386: Verifying Checksum 2023-07-07T19:51:56.5340044Z ad4a0b75e386: Download complete 2023-07-07T19:51:56.6150633Z 48b6bcfa1e97: Verifying Checksum 2023-07-07T19:51:56.6151051Z 48b6bcfa1e97: Download complete 2023-07-07T19:51:56.7066272Z 648b48e24e41: Download complete 2023-07-07T19:51:56.8821406Z dfb400292413: Pull complete 2023-07-07T19:51:57.1246717Z a033849c1c99: Pull complete 2023-07-07T19:51:57.3916391Z 616dd6a8139d: Pull complete 2023-07-07T19:51:57.6439313Z e7c2684b84e5: Pull complete 2023-07-07T19:51:57.8937492Z cf3c1df16427: Pull complete 2023-07-07T19:51:58.1302104Z e8d600f66bc9: Pull complete 2023-07-07T19:51:58.3598176Z e3294d8c1237: Pull complete 2023-07-07T19:51:58.5897861Z 7554532b68dc: Pull complete 2023-07-07T19:51:58.8237318Z 1da5d32ab2ea: Pull complete 2023-07-07T19:51:59.0681046Z 0c71db92c94e: Pull complete 2023-07-07T19:52:01.5134442Z 5223260a4bd7: Verifying Checksum 2023-07-07T19:52:01.5134969Z 5223260a4bd7: Download complete 2023-07-07T19:52:01.6343189Z d9a6bc77bb27: Verifying Checksum 2023-07-07T19:52:01.6343635Z d9a6bc77bb27: Download complete 2023-07-07T19:52:01.7239516Z 3b88fd19f001: Download complete 2023-07-07T19:52:01.9497206Z 01fd2964028c: Verifying Checksum 2023-07-07T19:52:01.9497486Z 01fd2964028c: Download complete 2023-07-07T19:52:02.0200439Z 10e3509d77af: Verifying Checksum 2023-07-07T19:52:02.0200844Z 10e3509d77af: Download complete 2023-07-07T19:52:02.1354794Z 08ab205d342e: Verifying Checksum 2023-07-07T19:52:02.1355123Z 08ab205d342e: Download complete 2023-07-07T19:52:02.2356420Z fc7820e5c197: Download complete 2023-07-07T19:52:02.3694442Z e3581503cffc: Download complete 2023-07-07T19:52:02.4635551Z 6befbd90d68a: Verifying Checksum 2023-07-07T19:52:02.4636104Z 6befbd90d68a: Download complete 2023-07-07T19:52:03.1831983Z d82e04bd0f21: Verifying Checksum 2023-07-07T19:52:03.1832268Z d82e04bd0f21: Download complete 2023-07-07T19:52:03.9490662Z 72e5ff24db84: Verifying Checksum 2023-07-07T19:52:03.9490968Z 72e5ff24db84: Download complete 2023-07-07T19:52:38.7889457Z 536508f41bd3: Verifying Checksum 2023-07-07T19:52:38.7889729Z 536508f41bd3: Download complete 2023-07-07T19:53:04.4619012Z 536508f41bd3: Pull complete 2023-07-07T19:53:04.6386863Z bdf109315316: Pull complete 2023-07-07T19:53:04.8614771Z 4c080d4a767b: Pull complete 2023-07-07T19:53:05.0807305Z c8e7844fb6cf: Pull complete 2023-07-07T19:53:05.2661972Z 8456ebba6f2b: Pull complete 2023-07-07T19:53:05.4348874Z ae8ac0964694: Pull complete 2023-07-07T19:53:05.5743301Z 7b7e05d1d035: Pull complete 2023-07-07T19:53:05.7213574Z be7705addaf2: Pull complete 2023-07-07T19:53:05.8932031Z 6d799d2236bd: Pull complete 2023-07-07T19:53:06.0481995Z e9987880bc2e: Pull complete 2023-07-07T19:53:08.8617610Z ebee29e5e39b: Pull complete 2023-07-07T19:53:09.0986723Z 6c9d2c39e074: Pull complete 2023-07-07T19:53:09.3235911Z 0bb55b7c2afe: Pull complete 2023-07-07T19:53:09.5913539Z 8d80635dd57a: Pull complete 2023-07-07T19:53:09.7711184Z 0dad89a625d4: Pull complete 2023-07-07T19:53:09.9430119Z 77e45e53f705: Pull complete 2023-07-07T19:53:15.5453777Z 5223260a4bd7: Pull complete 2023-07-07T19:53:15.7513637Z 6b12c963b7ba: Pull complete 2023-07-07T19:53:15.9852227Z c6facf506b1f: Pull complete 2023-07-07T19:53:16.2254785Z 7c33616ec2c8: Pull complete 2023-07-07T19:53:16.4502404Z 5cf45d7c8bd8: Pull complete 2023-07-07T19:53:16.6947211Z 63ab2c65a45d: Pull complete 2023-07-07T19:53:16.9254758Z 5f97eab5811d: Pull complete 2023-07-07T19:53:17.0675008Z ba07078a7294: Pull complete 2023-07-07T19:53:17.2708677Z 3c31a3aa9b92: Pull complete 2023-07-07T19:53:17.4283036Z ce416a9d7912: Pull complete 2023-07-07T19:53:17.6619792Z 49420f16a57a: Pull complete 2023-07-07T19:53:17.7880105Z 318f75a73bf0: Pull complete 2023-07-07T19:53:17.9944767Z cf80a7fcfc26: Pull complete 2023-07-07T19:53:19.1921148Z b89148d948d3: Pull complete 2023-07-07T19:53:19.4419112Z 6d817a9e6f0f: Pull complete 2023-07-07T19:53:19.6837824Z 378caf471143: Pull complete 2023-07-07T19:53:19.9045149Z 6a05787b0fe9: Pull complete 2023-07-07T19:53:20.1389108Z d356398f0b31: Pull complete 2023-07-07T19:53:20.5898400Z ea4a4e6ee6f0: Pull complete 2023-07-07T19:53:20.8261437Z a7d251c13e23: Pull complete 2023-07-07T19:53:21.0388145Z f074b84bb752: Pull complete 2023-07-07T19:53:21.4998770Z c7eeb4462346: Pull complete 2023-07-07T19:53:21.7360828Z a6cd7e7da457: Pull complete 2023-07-07T19:53:21.9548102Z 0d08b227985c: Pull complete 2023-07-07T19:53:22.1992028Z 36ae80cf4f17: Pull complete 2023-07-07T19:53:22.5176837Z ad4a0b75e386: Pull complete 2023-07-07T19:53:22.7272324Z 48b6bcfa1e97: Pull complete 2023-07-07T19:53:22.8039527Z 648b48e24e41: Pull complete 2023-07-07T19:53:26.1626733Z d82e04bd0f21: Pull complete 2023-07-07T19:53:26.3837917Z d9a6bc77bb27: Pull complete 2023-07-07T19:53:26.6144558Z 3b88fd19f001: Pull complete 2023-07-07T19:53:26.9325165Z 01fd2964028c: Pull complete 2023-07-07T19:53:27.0997026Z 10e3509d77af: Pull complete 2023-07-07T19:53:27.2827610Z 08ab205d342e: Pull complete 2023-07-07T19:53:27.5366724Z fc7820e5c197: Pull complete 2023-07-07T19:53:27.6885274Z e3581503cffc: Pull complete 2023-07-07T19:53:27.9412354Z 6befbd90d68a: Pull complete 2023-07-07T19:53:29.5105142Z 72e5ff24db84: Pull complete 2023-07-07T19:53:29.6214250Z Digest: sha256:2e3a897156e69f90d61e81b3feaf5738e8a475478882cbff172416c544261a60 2023-07-07T19:53:29.6588176Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:53:29.6829533Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:53:29.6870849Z ##[group]Run python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2023-07-07T19:53:29.6871241Z python3 -m pip install psutil==5.9.1 nvidia-ml-py==11.525.84 2023-07-07T19:53:29.6871621Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2023-07-07T19:53:29.6871939Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:53:29.6883421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:29.6883686Z env: 2023-07-07T19:53:29.6883886Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:29.6884112Z ##[endgroup] 2023-07-07T19:53:29.9040898Z Defaulting to user installation because normal site-packages is not writeable 2023-07-07T19:53:29.9217442Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1) 2023-07-07T19:53:29.9309063Z Requirement already satisfied: nvidia-ml-py==11.525.84 in /home/ec2-user/.local/lib/python3.7/site-packages (11.525.84) 2023-07-07T19:53:30.0340117Z Prepare all required actions 2023-07-07T19:53:30.0340379Z Getting action download info 2023-07-07T19:53:30.1943940Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2023-07-07T19:53:30.4115347Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a) 2023-07-07T19:53:30.5441470Z ##[group]Run ./.github/actions/download-build-artifacts 2023-07-07T19:53:30.5441710Z with: 2023-07-07T19:53:30.5441926Z name: linux-focal-py3.8-clang10-onnx 2023-07-07T19:53:30.5442121Z env: 2023-07-07T19:53:30.5442301Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:30.5442492Z ##[endgroup] 2023-07-07T19:53:30.5538705Z ##[group]Run seemethere/download-artifact-s3@v4 2023-07-07T19:53:30.5538940Z with: 2023-07-07T19:53:30.5539137Z name: linux-focal-py3.8-clang10-onnx 2023-07-07T19:53:30.5539370Z s3-bucket: gha-artifacts 2023-07-07T19:53:30.5539570Z region: us-east-1 2023-07-07T19:53:30.5539806Z env: 2023-07-07T19:53:30.5539970Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:30.5540157Z ##[endgroup] 2023-07-07T19:53:31.0183449Z (node:11861) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2023-07-07T19:53:31.0183921Z 2023-07-07T19:53:31.0184151Z Please migrate your code to use AWS SDK for JavaScript (v3). 2023-07-07T19:53:31.0184510Z For more information, check the migration guide at https://a.co/7PzMCcy 2023-07-07T19:53:31.0184918Z (Use `node --trace-warnings ...` to show where the warning was created) 2023-07-07T19:53:31.1076522Z Found 1 objects with prefix pytorch/pytorch/5489954980/linux-focal-py3.8-clang10-onnx/ 2023-07-07T19:53:31.1077026Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2023-07-07T19:53:38.0141629Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2023-07-07T19:53:38.0148799Z Artifact download has finished successfully 2023-07-07T19:53:38.0276514Z ##[group]Run unzip -o artifacts.zip 2023-07-07T19:53:38.0276756Z unzip -o artifacts.zip 2023-07-07T19:53:38.0341309Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:38.0341547Z env: 2023-07-07T19:53:38.0341715Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:38.0341903Z ##[endgroup] 2023-07-07T19:53:38.0397104Z 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build/bin/HashStoreTest 2023-07-07T19:53:43.7480851Z inflating: build/bin/ProcessGroupGlooTest 2023-07-07T19:53:43.7483932Z inflating: build/bin/example_allreduce 2023-07-07T19:53:43.7534805Z inflating: build/bin/test_dist_autograd 2023-07-07T19:53:43.7598315Z inflating: build/bin/test_cpp_rpc 2023-07-07T19:53:43.8862059Z inflating: build/bin/test_api 2023-07-07T19:53:43.8864246Z inflating: build/bin/parallel_benchmark 2023-07-07T19:53:43.8926781Z inflating: build/bin/test_mobile_nnc 2023-07-07T19:53:43.8935510Z inflating: build/bin/aot_model_compiler_test 2023-07-07T19:53:43.9252202Z inflating: build/bin/test_lazy 2023-07-07T19:53:43.9256899Z inflating: build/bin/torch_shm_manager 2023-07-07T19:53:43.9257771Z inflating: .pytorch-test-times.json 2023-07-07T19:53:43.9279602Z ##[group]Run df -H 2023-07-07T19:53:43.9279794Z df -H 2023-07-07T19:53:43.9290906Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:43.9291125Z env: 2023-07-07T19:53:43.9291305Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:43.9291497Z ##[endgroup] 2023-07-07T19:53:43.9600011Z Filesystem Size Used Avail Use% Mounted on 2023-07-07T19:53:43.9600302Z devtmpfs 8.2G 0 8.2G 0% /dev 2023-07-07T19:53:43.9600525Z tmpfs 8.2G 3.0M 8.2G 1% /dev/shm 2023-07-07T19:53:43.9600722Z tmpfs 8.2G 431k 8.2G 1% /run 2023-07-07T19:53:43.9601119Z tmpfs 8.2G 0 8.2G 0% /sys/fs/cgroup 2023-07-07T19:53:43.9601464Z /dev/nvme0n1p1 162G 24G 138G 15% / 2023-07-07T19:53:43.9634704Z ##[group]Run .github/scripts/parse_ref.py 2023-07-07T19:53:43.9634982Z .github/scripts/parse_ref.py 2023-07-07T19:53:43.9645849Z shell: /usr/bin/bash -e {0} 2023-07-07T19:53:43.9646030Z env: 2023-07-07T19:53:43.9646210Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:43.9646407Z ##[endgroup] 2023-07-07T19:53:44.2095464Z Prepare all required actions 2023-07-07T19:53:44.2096041Z Getting action download info 2023-07-07T19:53:44.4883257Z ##[group]Run ./.github/actions/filter-test-configs 2023-07-07T19:53:44.4883477Z with: 2023-07-07T19:53:44.4884056Z github-token: *** 2023-07-07T19:53:44.4884530Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}]} 2023-07-07T19:53:44.4884849Z env: 2023-07-07T19:53:44.4885014Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:44.4885203Z ##[endgroup] 2023-07-07T19:53:44.4911130Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2023-07-07T19:53:44.4911381Z with: 2023-07-07T19:53:44.4911553Z shell: bash 2023-07-07T19:53:44.4911724Z timeout_minutes: 10 2023-07-07T19:53:44.4911909Z max_attempts: 5 2023-07-07T19:53:44.4912096Z retry_wait_seconds: 30 2023-07-07T19:53:44.4912395Z command: set -eux python3 -m pip install requests==2.26.0 pyyaml==6.0 2023-07-07T19:53:44.4912644Z polling_interval_seconds: 1 2023-07-07T19:53:44.4912847Z warning_on_retry: true 2023-07-07T19:53:44.4913045Z continue_on_error: false 2023-07-07T19:53:44.4913214Z env: 2023-07-07T19:53:44.4913400Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:44.4913718Z GITHUB_TOKEN: *** 2023-07-07T19:53:44.4913899Z ##[endgroup] 2023-07-07T19:53:44.5436683Z + python3 -m pip install requests==2.26.0 pyyaml==6.0 2023-07-07T19:53:45.0815686Z Defaulting to user installation because normal site-packages is not writeable 2023-07-07T19:53:45.1033014Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0) 2023-07-07T19:53:45.1170069Z Requirement already satisfied: pyyaml==6.0 in /home/ec2-user/.local/lib/python3.7/site-packages (6.0) 2023-07-07T19:53:45.1181504Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4) 2023-07-07T19:53:45.1201089Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12) 2023-07-07T19:53:45.1227949Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2023.5.7) 2023-07-07T19:53:45.1243108Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.16) 2023-07-07T19:53:45.5413526Z Command completed after 1 attempt(s). 2023-07-07T19:53:45.5449091Z ##[group]Run set -x 2023-07-07T19:53:45.5449303Z set -x 2023-07-07T19:53:45.5449475Z  2023-07-07T19:53:45.5449729Z # Use relative path here as this could be checked out anywhere, not necessarily 2023-07-07T19:53:45.5449996Z # in runner workspace 2023-07-07T19:53:45.5450251Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2023-07-07T19:53:45.5461330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:45.5461548Z env: 2023-07-07T19:53:45.5461730Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:45.5461923Z ##[endgroup] 2023-07-07T19:53:45.5486402Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2023-07-07T19:53:45.5675633Z ##[group]Run set -x 2023-07-07T19:53:45.5675862Z set -x 2023-07-07T19:53:45.5676016Z  2023-07-07T19:53:45.5676267Z # TODO: This is a very hacky way to get the job name. GitHub runner has the info 2023-07-07T19:53:45.5676600Z # but doesn't expose it in anyway. The job name is part of the job message the 2023-07-07T19:53:45.5676915Z # runner receives, so it's there and printed out to the diag log. Below is the 2023-07-07T19:53:45.5677257Z # code responsible for printing it. Need to check with GitHub to see if they can 2023-07-07T19:53:45.5677701Z # expose this variable as part of GitHub context. 2023-07-07T19:53:45.5678048Z # https://github.com/actions/runner/blob/main/src/Runner.Worker/JobExtension.cs#L345 2023-07-07T19:53:45.5678385Z pushd "/home/ec2-user/actions-runner/_work/pytorch/../../_diag" 2023-07-07T19:53:45.5678787Z pwd 2023-07-07T19:53:45.5678952Z  2023-07-07T19:53:45.5679189Z LOG_FILE=$(grep -l -r "1a661639f77a172df5d1ccd6987049292c6f3440" *.log | tail -n 1) 2023-07-07T19:53:45.5679457Z if [ -n "${LOG_FILE}" ]; then 2023-07-07T19:53:45.5679740Z  # For some reasons, awk {print $2} on Linux and Windows (bash) work correctly while it 2023-07-07T19:53:45.5680029Z  # needs to be awk {print $3} on MacOS 2023-07-07T19:53:45.5680237Z  case ${RUNNER_OS} in 2023-07-07T19:53:45.5680427Z  macOS) 2023-07-07T19:53:45.5680718Z  JOB_NAME=$(grep -r "\"jobDisplayName\"" "${LOG_FILE}" | awk -F '[:]' '{print $3}' | sed 's/"//g' | xargs) 2023-07-07T19:53:45.5680979Z  ;; 2023-07-07T19:53:45.5681146Z  *) 2023-07-07T19:53:45.5681412Z  JOB_NAME=$(grep -r "\"jobDisplayName\"" "${LOG_FILE}" | awk -F '[:]' '{print $2}' | sed 's/"//g' | xargs) 2023-07-07T19:53:45.5681677Z  ;; 2023-07-07T19:53:45.5681829Z  esac 2023-07-07T19:53:45.5682045Z  echo "job-name=${JOB_NAME}" >> "${GITHUB_OUTPUT}" 2023-07-07T19:53:45.5682254Z fi 2023-07-07T19:53:45.5682401Z  2023-07-07T19:53:45.5682565Z popd 2023-07-07T19:53:45.5693862Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:45.5694079Z env: 2023-07-07T19:53:45.5694261Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:45.5694453Z ##[endgroup] 2023-07-07T19:53:45.5718359Z + pushd /home/ec2-user/actions-runner/_work/pytorch/../../_diag 2023-07-07T19:53:45.5718599Z + pwd 2023-07-07T19:53:45.5718883Z ~/actions-runner/_diag ~/actions-runner/_work/pytorch/pytorch 2023-07-07T19:53:45.5719204Z /home/ec2-user/actions-runner/_diag 2023-07-07T19:53:45.5743466Z ++ tail -n 1 2023-07-07T19:53:45.5745024Z ++ grep -l -r 1a661639f77a172df5d1ccd6987049292c6f3440 Runner_20230707-125257-utc.log Runner_20230707-125300-utc.log Runner_20230707-125315-utc.log Worker_20230707-125317-utc.log Worker_20230707-130514-utc.log Worker_20230707-131153-utc.log Worker_20230707-144344-utc.log Worker_20230707-144400-utc.log Worker_20230707-145528-utc.log Worker_20230707-151555-utc.log Worker_20230707-153442-utc.log Worker_20230707-154559-utc.log Worker_20230707-170522-utc.log Worker_20230707-170921-utc.log Worker_20230707-184744-utc.log Worker_20230707-191051-utc.log Worker_20230707-191347-utc.log Worker_20230707-192143-utc.log Worker_20230707-192254-utc.log Worker_20230707-193850-utc.log Worker_20230707-194837-utc.log 2023-07-07T19:53:45.6388684Z + LOG_FILE=Worker_20230707-194837-utc.log 2023-07-07T19:53:45.6389211Z + '[' -n Worker_20230707-194837-utc.log ']' 2023-07-07T19:53:45.6389421Z + case ${RUNNER_OS} in 2023-07-07T19:53:45.6393820Z ++ grep -r '"jobDisplayName"' Worker_20230707-194837-utc.log 2023-07-07T19:53:45.6394264Z ++ awk -F '[:]' '{print $2}' 2023-07-07T19:53:45.6394984Z ++ sed 's/"//g' 2023-07-07T19:53:45.6396942Z ++ xargs 2023-07-07T19:53:45.6432564Z + JOB_NAME='linux-focal-py3.8-clang10-onnx / test (default, 2, 2, linux.2xlarge),' 2023-07-07T19:53:45.6433120Z + echo 'job-name=linux-focal-py3.8-clang10-onnx / test (default, 2, 2, linux.2xlarge),' 2023-07-07T19:53:45.6433376Z + popd 2023-07-07T19:53:45.6433625Z ~/actions-runner/_work/pytorch/pytorch 2023-07-07T19:53:45.6451083Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2023-07-07T19:53:45.6451358Z echo "Workflow: ${GITHUB_WORKFLOW}" 2023-07-07T19:53:45.6451586Z echo "Job name: ${JOB_NAME}" 2023-07-07T19:53:45.6451778Z  2023-07-07T19:53:45.6452021Z # Use relative path here as this could be checked out anywhere, not necessarily 2023-07-07T19:53:45.6452298Z # in runner workspace 2023-07-07T19:53:45.6452704Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2023-07-07T19:53:45.6452991Z  --workflow "${GITHUB_WORKFLOW}" \ 2023-07-07T19:53:45.6453204Z  --job-name "${JOB_NAME}" \ 2023-07-07T19:53:45.6453678Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}]}" \ 2023-07-07T19:53:45.6454018Z  --pr-number "" \ 2023-07-07T19:53:45.6454196Z  --tag "" \ 2023-07-07T19:53:45.6454390Z  --event-name "push" \ 2023-07-07T19:53:45.6454592Z  --schedule "" \ 2023-07-07T19:53:45.6454780Z  --branch "" 2023-07-07T19:53:45.6465441Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:45.6465670Z env: 2023-07-07T19:53:45.6465850Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:45.6466206Z GITHUB_TOKEN: *** 2023-07-07T19:53:45.6466495Z JOB_NAME: linux-focal-py3.8-clang10-onnx / test (default, 2, 2, linux.2xlarge), 2023-07-07T19:53:45.6466803Z ##[endgroup] 2023-07-07T19:53:45.6489727Z Workflow: pull 2023-07-07T19:53:45.6490461Z Job name: linux-focal-py3.8-clang10-onnx / test (default, 2, 2, linux.2xlarge), 2023-07-07T19:53:45.8369259Z fatal: unknown commit main 2023-07-07T19:53:45.8389070Z /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/filter_test_configs.py:466: UserWarning: failed to get commit messages: Command '['git', 'cherry', '-v', 'main']' returned non-zero exit status 128. 2023-07-07T19:53:45.8389566Z warnings.warn(f"failed to get commit messages: {e}") 2023-07-07T19:53:45.8502985Z ##[group]Run echo "Filtered matrix:" 2023-07-07T19:53:45.8503235Z echo "Filtered matrix:" 2023-07-07T19:53:45.8503600Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "default", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}]}" 2023-07-07T19:53:45.8503919Z  2023-07-07T19:53:45.8504072Z echo 2023-07-07T19:53:45.8504286Z echo "Is the current job unstable? False" 2023-07-07T19:53:45.8504494Z  2023-07-07T19:53:45.8504664Z echo 2023-07-07T19:53:45.8504874Z echo "Is keep-going label set? False" 2023-07-07T19:53:45.8505080Z  2023-07-07T19:53:45.8505227Z echo 2023-07-07T19:53:45.8505414Z echo "Renabled issues? " 2023-07-07T19:53:45.8516311Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:45.8516536Z env: 2023-07-07T19:53:45.8516702Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:45.8516893Z ##[endgroup] 2023-07-07T19:53:45.8539882Z Filtered matrix: 2023-07-07T19:53:45.8540408Z {include: [{config: default, shard: 1, num_shards: 2, runner: linux.2xlarge}, {config: default, shard: 2, num_shards: 2, runner: linux.2xlarge}]} 2023-07-07T19:53:45.8540756Z 2023-07-07T19:53:45.8540880Z Is the current job unstable? False 2023-07-07T19:53:45.8541021Z 2023-07-07T19:53:45.8541226Z Is keep-going label set? False 2023-07-07T19:53:45.8541622Z 2023-07-07T19:53:45.8541785Z Renabled issues? 2023-07-07T19:53:45.8568000Z Prepare all required actions 2023-07-07T19:53:45.8568262Z Getting action download info 2023-07-07T19:53:45.9925592Z ##[group]Run ./.github/actions/pytest-cache-download 2023-07-07T19:53:45.9925825Z with: 2023-07-07T19:53:45.9926246Z cache_dir: .pytest_cache 2023-07-07T19:53:45.9926526Z job_identifier: pull_linux-focal-py3.8-clang10-onnx_test_default 2023-07-07T19:53:45.9926758Z env: 2023-07-07T19:53:45.9926940Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:45.9927135Z ##[endgroup] 2023-07-07T19:53:45.9951962Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2023-07-07T19:53:45.9952218Z with: 2023-07-07T19:53:45.9952371Z shell: bash 2023-07-07T19:53:45.9952553Z timeout_minutes: 5 2023-07-07T19:53:45.9952739Z max_attempts: 5 2023-07-07T19:53:45.9952915Z retry_wait_seconds: 30 2023-07-07T19:53:45.9953153Z command: set -eu python3 -m pip install boto3==1.19.12 2023-07-07T19:53:45.9953394Z polling_interval_seconds: 1 2023-07-07T19:53:45.9953641Z warning_on_retry: true 2023-07-07T19:53:45.9953827Z continue_on_error: false 2023-07-07T19:53:45.9954162Z env: 2023-07-07T19:53:45.9954340Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:45.9954514Z ##[endgroup] 2023-07-07T19:53:46.2572756Z Defaulting to user installation because normal site-packages is not writeable 2023-07-07T19:53:46.2734819Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12) 2023-07-07T19:53:46.2785338Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0) 2023-07-07T19:53:46.2799011Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2) 2023-07-07T19:53:46.2826316Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12) 2023-07-07T19:53:46.2868569Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.16) 2023-07-07T19:53:46.3033181Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2) 2023-07-07T19:53:46.3052037Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0) 2023-07-07T19:53:47.0441259Z Command completed after 1 attempt(s). 2023-07-07T19:53:47.0477638Z ##[group]Run python3 .github/scripts/pytest_cache.py \ 2023-07-07T19:53:47.0477940Z python3 .github/scripts/pytest_cache.py \ 2023-07-07T19:53:47.0478171Z  --download \ 2023-07-07T19:53:47.0478394Z  --cache_dir $GITHUB_WORKSPACE/$CACHE_DIR \ 2023-07-07T19:53:47.0478650Z  --pr_identifier $GITHUB_REF \ 2023-07-07T19:53:47.0479137Z  --job_identifier $JOB_IDENTIFIER \ 2023-07-07T19:53:47.0479359Z  --temp_dir $RUNNER_TEMP \ 2023-07-07T19:53:47.0479587Z  --repo $REPO \ 2023-07-07T19:53:47.0490717Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:47.0490936Z env: 2023-07-07T19:53:47.0491122Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:47.0491328Z CACHE_DIR: .pytest_cache 2023-07-07T19:53:47.0491587Z JOB_IDENTIFIER: pull_linux-focal-py3.8-clang10-onnx_test_default 2023-07-07T19:53:47.0491858Z REPO: pytorch/pytorch 2023-07-07T19:53:47.0492047Z ##[endgroup] 2023-07-07T19:53:47.4414473Z PR identifier for `refs/heads/main` is `96e092540d6b3c4076e3d2bc6f1f9013` 2023-07-07T19:53:47.4416061Z Downloading cache with args Namespace(bucket=None, cache_dir='/home/ec2-user/actions-runner/_work/pytorch/pytorch/.pytest_cache', download=True, job_identifier='pull_linux-focal-py3.8-clang10-onnx_test_default', pr_identifier='refs/heads/main', repo='pytorch/pytorch', shard=None, temp_dir='/home/ec2-user/actions-runner/_work/_temp', upload=False) 2023-07-07T19:53:47.4417019Z There were no files matching the prefix `pytest_cache/pytorch/pytorch/96e092540d6b3c4076e3d2bc6f1f9013/pull_linux-focal-py3_8-clang10-onnx_test_default` in bucket `gha-artifacts` 2023-07-07T19:53:47.4833443Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2023-07-07T19:53:47.4833760Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2023-07-07T19:53:47.4844698Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T19:53:47.4844930Z env: 2023-07-07T19:53:47.4845113Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:47.4845309Z JOB_TIMEOUT: 240 2023-07-07T19:53:47.4845479Z ##[endgroup] 2023-07-07T19:53:47.4955663Z ##[group]Run set -x 2023-07-07T19:53:47.4955929Z set -x 2023-07-07T19:53:47.4956086Z  2023-07-07T19:53:47.4956290Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2023-07-07T19:53:47.4956549Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2023-07-07T19:53:47.4956811Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2023-07-07T19:53:47.4957216Z  TEST_COMMAND=.ci/onnx/test.sh 2023-07-07T19:53:47.4957471Z else 2023-07-07T19:53:47.4957675Z  TEST_COMMAND=.ci/pytorch/test.sh 2023-07-07T19:53:47.4957858Z fi 2023-07-07T19:53:47.4958017Z  2023-07-07T19:53:47.4958250Z # detached container should get cleaned up by teardown_ec2_linux 2023-07-07T19:53:47.4958545Z # TODO: Stop building test binaries as part of the build phase 2023-07-07T19:53:47.4958830Z # Used for GPU_FLAG since that doesn't play nice 2023-07-07T19:53:47.4959128Z # shellcheck disable=SC2086,SC2090 2023-07-07T19:53:47.4959347Z container_name=$(docker run \ 2023-07-07T19:53:47.4959552Z  ${GPU_FLAG:-} \ 2023-07-07T19:53:47.4959753Z  -e BUILD_ENVIRONMENT \ 2023-07-07T19:53:47.4959944Z  -e PR_NUMBER \ 2023-07-07T19:53:47.4960140Z  -e GITHUB_ACTIONS \ 2023-07-07T19:53:47.4960348Z  -e GITHUB_REPOSITORY \ 2023-07-07T19:53:47.4960553Z  -e GITHUB_WORKFLOW \ 2023-07-07T19:53:47.4960747Z  -e GITHUB_JOB \ 2023-07-07T19:53:47.4960936Z  -e GITHUB_RUN_ID \ 2023-07-07T19:53:47.4961122Z  -e GITHUB_RUN_NUMBER \ 2023-07-07T19:53:47.4961328Z  -e GITHUB_RUN_ATTEMPT \ 2023-07-07T19:53:47.4961523Z  -e BASE_SHA \ 2023-07-07T19:53:47.4961705Z  -e BRANCH \ 2023-07-07T19:53:47.4961872Z  -e SHA1 \ 2023-07-07T19:53:47.4962063Z  -e AWS_DEFAULT_REGION \ 2023-07-07T19:53:47.4962264Z  -e IN_WHEEL_TEST \ 2023-07-07T19:53:47.4962451Z  -e SHARD_NUMBER \ 2023-07-07T19:53:47.4962648Z  -e TEST_CONFIG \ 2023-07-07T19:53:47.4962843Z  -e NUM_TEST_SHARDS \ 2023-07-07T19:53:47.4963032Z  -e REENABLED_ISSUES \ 2023-07-07T19:53:47.4963250Z  -e CONTINUE_THROUGH_ERROR \ 2023-07-07T19:53:47.4963477Z  -e PYTORCH_RETRY_TEST_CASES \ 2023-07-07T19:53:47.4963706Z  -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \ 2023-07-07T19:53:47.4963919Z  -e PR_LABELS \ 2023-07-07T19:53:47.4964140Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2023-07-07T19:53:47.4964344Z  -e SCCACHE_BUCKET \ 2023-07-07T19:53:47.4964730Z  -e SCCACHE_S3_KEY_PREFIX \ 2023-07-07T19:53:47.4964931Z  -e XLA_CUDA \ 2023-07-07T19:53:47.4965144Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2023-07-07T19:53:47.4965374Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2023-07-07T19:53:47.4965622Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2023-07-07T19:53:47.4965884Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2023-07-07T19:53:47.4966094Z  -e DASHBOARD_TAG \ 2023-07-07T19:53:47.4966331Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2023-07-07T19:53:47.4966574Z  --ulimit stack=10485760:83886080 \ 2023-07-07T19:53:47.4966797Z  --security-opt seccomp=unconfined \ 2023-07-07T19:53:47.4967034Z  --cap-add=SYS_PTRACE \ 2023-07-07T19:53:47.4967230Z  --ipc=host \ 2023-07-07T19:53:47.4967426Z  --shm-size="${SHM_SIZE}" \ 2023-07-07T19:53:47.4967605Z  --tty \ 2023-07-07T19:53:47.4967782Z  --detach \ 2023-07-07T19:53:47.4967981Z  --name="${container_name}" \ 2023-07-07T19:53:47.4968174Z  --user jenkins \ 2023-07-07T19:53:47.4968417Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2023-07-07T19:53:47.4968677Z  -w /var/lib/jenkins/workspace \ 2023-07-07T19:53:47.4968875Z  "${DOCKER_IMAGE}" 2023-07-07T19:53:47.4969180Z ) 2023-07-07T19:53:47.4969415Z # Propagate download.pytorch.org IP to container 2023-07-07T19:53:47.4969758Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2023-07-07T19:53:47.4970107Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2023-07-07T19:53:47.4970540Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2023-07-07T19:53:47.4980905Z shell: /usr/bin/bash -e {0} 2023-07-07T19:53:47.4981086Z env: 2023-07-07T19:53:47.4981264Z GIT_DEFAULT_BRANCH: main 2023-07-07T19:53:47.4981518Z BUILD_ENVIRONMENT: linux-focal-py3.8-clang10-onnx 2023-07-07T19:53:47.4981742Z PR_NUMBER: 2023-07-07T19:53:47.4981942Z GITHUB_REPOSITORY: pytorch/pytorch 2023-07-07T19:53:47.4982156Z GITHUB_WORKFLOW: pull 2023-07-07T19:53:47.4982331Z GITHUB_JOB: test 2023-07-07T19:53:47.4982512Z GITHUB_RUN_ID: 5489954980 2023-07-07T19:53:47.4982713Z GITHUB_RUN_NUMBER: 122984 2023-07-07T19:53:47.4982894Z GITHUB_RUN_ATTEMPT: 1 2023-07-07T19:53:47.4983073Z BRANCH: main 2023-07-07T19:53:47.4983277Z SHA1: 1a661639f77a172df5d1ccd6987049292c6f3440 2023-07-07T19:53:47.4983519Z BASE_SHA: 1a661639f77a172df5d1ccd6987049292c6f3440 2023-07-07T19:53:47.4983730Z PYTORCH_RETRY_TEST_CASES: 1 2023-07-07T19:53:47.4983958Z PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1 2023-07-07T19:53:47.4984160Z TEST_CONFIG: default 2023-07-07T19:53:47.4984328Z SHARD_NUMBER: 2 2023-07-07T19:53:47.4984511Z NUM_TEST_SHARDS: 2 2023-07-07T19:53:47.4984693Z REENABLED_ISSUES: 2023-07-07T19:53:47.4984882Z CONTINUE_THROUGH_ERROR: False 2023-07-07T19:53:47.4985139Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2023-07-07T19:53:47.4985392Z SCCACHE_S3_KEY_PREFIX: pull 2023-07-07T19:53:47.4985570Z SHM_SIZE: 1g 2023-07-07T19:53:47.4985948Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:53:47.4986310Z XLA_CUDA: 2023-07-07T19:53:47.4986581Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2023-07-07T19:53:47.4986866Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2023-07-07T19:53:47.4987098Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2023-07-07T19:53:47.4987301Z DASHBOARD_TAG: 2023-07-07T19:53:47.4987466Z ##[endgroup] 2023-07-07T19:53:47.5011866Z + [[ default == \m\u\l\t\i\g\p\u ]] 2023-07-07T19:53:47.5012364Z + [[ linux-focal-py3.8-clang10-onnx == *onnx* ]] 2023-07-07T19:53:47.5012619Z + TEST_COMMAND=.ci/onnx/test.sh 2023-07-07T19:53:47.5020985Z +++ nproc --ignore=2 2023-07-07T19:53:47.5051795Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e DASHBOARD_TAG --env-file=/tmp/github_env_5489954980 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T19:53:57.7118138Z + container_name=4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T19:53:57.7121252Z + grep download.pytorch.org /etc/hosts 2023-07-07T19:53:57.7122119Z + docker exec -i 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 sudo bash -c '/bin/cat >> /etc/hosts' 2023-07-07T19:53:57.8221784Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2023-07-07T19:53:57.8320766Z + echo DOCKER_CONTAINER_ID=4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T19:53:57.8324633Z ++ echo dist/torch-2.1.0a0+git1a66163-cp38-cp38-linux_x86_64.whl 2023-07-07T19:53:57.8328224Z + docker exec -t 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 sh -c 'pip install dist/torch-2.1.0a0+git1a66163-cp38-cp38-linux_x86_64.whl[opt-einsum] && .ci/onnx/test.sh' 2023-07-07T19:53:58.4182063Z Processing ./dist/torch-2.1.0a0+git1a66163-cp38-cp38-linux_x86_64.whl 2023-07-07T19:53:58.8100695Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.1.0a0+git1a66163) (3.9.0) 2023-07-07T19:53:58.8103958Z Requirement already satisfied: typing-extensions in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.1.0a0+git1a66163) (4.7.1) 2023-07-07T19:53:58.8107142Z Requirement already satisfied: sympy in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.1.0a0+git1a66163) (1.12) 2023-07-07T19:53:58.8110387Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.1.0a0+git1a66163) (2.0) 2023-07-07T19:53:58.8113750Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.1.0a0+git1a66163) (3.1.2) 2023-07-07T19:53:58.8117361Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.1.0a0+git1a66163) (2023.4.0) 2023-07-07T19:53:58.8130415Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from torch==2.1.0a0+git1a66163) (3.3.0) 2023-07-07T19:53:58.8186637Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from opt-einsum>=3.3->torch==2.1.0a0+git1a66163) (1.22.4) 2023-07-07T19:53:58.8580934Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from jinja2->torch==2.1.0a0+git1a66163) (2.1.3) 2023-07-07T19:53:58.8643385Z Requirement already satisfied: decorator>=4.1.0 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from networkx->torch==2.1.0a0+git1a66163) (5.1.1) 2023-07-07T19:53:58.8660985Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/envs/py_3.8/lib/python3.8/site-packages (from sympy->torch==2.1.0a0+git1a66163) (1.3.0) 2023-07-07T19:53:59.9290114Z Installing collected packages: torch 2023-07-07T19:54:06.0540191Z Successfully installed torch-2.1.0a0+git1a66163 2023-07-07T19:54:06.1368162Z ++++ dirname .ci/onnx/common.sh 2023-07-07T19:54:06.1372412Z +++ cd .ci/onnx 2023-07-07T19:54:06.1372603Z +++ pwd 2023-07-07T19:54:06.1374470Z ++ LOCAL_DIR=/var/lib/jenkins/workspace/.ci/onnx 2023-07-07T19:54:06.1377112Z +++ cd /var/lib/jenkins/workspace/.ci/onnx/../.. 2023-07-07T19:54:06.1377641Z +++ pwd 2023-07-07T19:54:06.1378894Z ++ ROOT_DIR=/var/lib/jenkins/workspace 2023-07-07T19:54:06.1379345Z ++ TEST_DIR=/var/lib/jenkins/workspace/test 2023-07-07T19:54:06.1379934Z ++ pytest_reports_dir=/var/lib/jenkins/workspace/test/test-reports/python 2023-07-07T19:54:06.1381587Z +++ which python 2023-07-07T19:54:06.1403152Z ++ PYTHON=/opt/conda/envs/py_3.8/bin/python 2023-07-07T19:54:06.1403882Z ++ [[ linux-focal-py3.8-clang10-onnx =~ py((2|3)\.?[0-9]?\.?[0-9]?) ]] 2023-07-07T19:54:06.1407076Z +++ which python3.8 2023-07-07T19:54:06.1414029Z ++ PYTHON=/opt/conda/envs/py_3.8/bin/python3.8 2023-07-07T19:54:06.1414435Z ++ [[ linux-focal-py3.8-clang10-onnx == *rocm* ]] 2023-07-07T19:54:06.1414786Z ++ mkdir -p /var/lib/jenkins/workspace/test/test-reports/python 2023-07-07T19:54:06.1467559Z + [[ linux-focal-py3.8-clang10-onnx == *onnx* ]] 2023-07-07T19:54:06.1468258Z + pip -q install --user file:///var/lib/jenkins/workspace/third_party/onnx#egg=onnx 2023-07-07T19:54:26.4794300Z  WARNING: The scripts backend-test-tools, check-model and check-node are installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2023-07-07T19:54:26.4795052Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2023-07-07T19:54:26.6236182Z ++ cat .github/ci_commit_pins/vision.txt 2023-07-07T19:54:26.6242769Z + pip install -q --user --no-use-pep517 git+https://github.com/pytorch/vision.git@23b0938f897f4003bb26c086115de94b9976cb9f 2023-07-07T19:55:26.9571250Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2023-07-07T19:55:26.9572098Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2023-07-07T19:55:26.9572873Z + retry /var/lib/jenkins/workspace/scripts/onnx/test.sh 2023-07-07T19:55:26.9573162Z + /var/lib/jenkins/workspace/scripts/onnx/test.sh 2023-07-07T19:55:26.9586598Z + UNKNOWN=() 2023-07-07T19:55:26.9587069Z + PARALLEL=1 2023-07-07T19:55:26.9587501Z + export TORCH_ONNX_EXPERIMENTAL_RUNTIME_TYPE_CHECK=ERRORS 2023-07-07T19:55:26.9587790Z + TORCH_ONNX_EXPERIMENTAL_RUNTIME_TYPE_CHECK=ERRORS 2023-07-07T19:55:26.9588120Z + [[ 0 -gt 0 ]] 2023-07-07T19:55:26.9588303Z + set -- 2023-07-07T19:55:26.9588569Z + pip install -e tools/coverage_plugins_package 2023-07-07T19:55:27.3156241Z Obtaining file:///var/lib/jenkins/workspace/tools/coverage_plugins_package 2023-07-07T19:55:29.5867703Z Installing build dependencies ... [?25l- \ | done 2023-07-07T19:55:29.6976485Z [?25h Checking if build backend supports build_editable ... [?25ldone 2023-07-07T19:55:29.8297273Z [?25h Getting requirements to build editable ... [?25l- done 2023-07-07T19:55:29.9771288Z [?25h Preparing editable metadata (pyproject.toml) ... [?25l- done 2023-07-07T19:55:29.9920212Z [?25hBuilding wheels for collected packages: coverage-plugins 2023-07-07T19:55:30.1527747Z Building editable for coverage-plugins (pyproject.toml) ... [?25l- done 2023-07-07T19:55:30.1539027Z [?25h Created wheel for coverage-plugins: filename=coverage_plugins-0.0.1-0.editable-py3-none-any.whl size=1661 sha256=2ee553139636736141ae59ec78b02ea60f8543b6f3ffc604b86b1373d98944a8 2023-07-07T19:55:30.1540680Z Stored in directory: /tmp/pip-ephem-wheel-cache-4rnn6p4z/wheels/dd/2d/e8/ebbd0415e0bb88647c5340c3161d07d34e64cfbc80e4618418 2023-07-07T19:55:30.1565898Z Successfully built coverage-plugins 2023-07-07T19:55:31.1973511Z Installing collected packages: coverage-plugins 2023-07-07T19:55:31.2185206Z Successfully installed coverage-plugins-0.0.1 2023-07-07T19:55:31.2986347Z ++ python -c 'import os; import sys; print(os.path.realpath(sys.argv[1]))' /var/lib/jenkins/workspace/scripts/onnx/test.sh 2023-07-07T19:55:31.3149758Z + script_path=/var/lib/jenkins/workspace/scripts/onnx/test.sh 2023-07-07T19:55:31.3157557Z ++++ dirname /var/lib/jenkins/workspace/scripts/onnx/test.sh 2023-07-07T19:55:31.3163530Z +++ dirname /var/lib/jenkins/workspace/scripts/onnx 2023-07-07T19:55:31.3169567Z ++ dirname /var/lib/jenkins/workspace/scripts 2023-07-07T19:55:31.3174852Z + top_dir=/var/lib/jenkins/workspace 2023-07-07T19:55:31.3175253Z + test_paths=("$top_dir/test/onnx") 2023-07-07T19:55:31.3175570Z + args=() 2023-07-07T19:55:31.3175987Z + args+=("-v") 2023-07-07T19:55:31.3176370Z + args+=("--cov") 2023-07-07T19:55:31.3176615Z + args+=("--cov-report") 2023-07-07T19:55:31.3176810Z + args+=("xml:test/coverage.xml") 2023-07-07T19:55:31.3177050Z + args+=("--cov-append") 2023-07-07T19:55:31.3179101Z + python /var/lib/jenkins/workspace/test/run_test.py --onnx --shard 2 2 --verbose 2023-07-07T19:55:33.2693143Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T19:55:33.2719198Z Ignoring disabled issues: [''] 2023-07-07T19:55:34.8874297Z Found test time stats from artifacts 2023-07-07T19:55:34.8876669Z Selected tests: 2023-07-07T19:55:34.8877110Z onnx/test_utility_funs 1/1 2023-07-07T19:55:34.8877918Z onnx/test_custom_ops 1/1 2023-07-07T19:55:34.8878214Z onnx/test_models_quantized_onnxruntime 1/1 2023-07-07T19:55:34.8878559Z onnx/test_pytorch_onnx_onnxruntime 2/2 2023-07-07T19:55:34.8878855Z onnx/test_fx_op_consistency 1/1 2023-07-07T19:55:34.8879205Z onnx/test_fx_to_onnx_with_onnxruntime 1/1 2023-07-07T19:55:34.8879586Z onnx/test_op_consistency 1/1 2023-07-07T19:55:34.8880175Z onnx/test_operators 1/1 2023-07-07T19:55:34.8880380Z onnx/test_fx_to_onnx 1/1 2023-07-07T19:55:34.8880578Z onnx/dynamo/test_exporter_api 1/1 2023-07-07T19:55:34.8880815Z onnx/test_pytorch_onnx_no_runtime 1/1 2023-07-07T19:55:34.8881036Z onnx/test_verification 1/1 2023-07-07T19:55:34.8884650Z onnx/test_export_modes 1/1 2023-07-07T19:55:34.8885060Z onnx/test_onnx_opset 1/1 2023-07-07T19:55:34.8885458Z onnx/test_fx_passes 1/1 2023-07-07T19:55:34.8885858Z onnx/test_pytorch_onnx_shape_inference 1/1 2023-07-07T19:55:34.8886140Z onnx/internal/test_diagnostics 1/1 2023-07-07T19:55:34.8886359Z onnx/test_pytorch_jit_onnx 1/1 2023-07-07T19:55:34.8886591Z onnx/internal/test_registraion 1/1 2023-07-07T19:55:34.8886863Z onnx/internal/test_beartype 1/1 2023-07-07T19:55:34.8887083Z onnx/test_fx_type_promotion 1/1 2023-07-07T19:55:34.8887294Z onnx/test_symbolic_helper 1/1 2023-07-07T19:55:34.8887503Z onnx/test_autograd_funs 1/1 2023-07-07T19:55:34.8887755Z onnx/test_onnxscript_runtime 1/1 2023-07-07T19:55:34.8888001Z onnx/dynamo/test_registry_dispatcher 1/1 2023-07-07T19:55:34.8888448Z /var/lib/jenkins/workspace/tools/testing/test_selections.py:161: UserWarning: No pytorch cache found at /var/lib/jenkins/workspace/.pytest_cache/v/cache/lastfailed 2023-07-07T19:55:34.8888791Z warn( 2023-07-07T19:55:34.9107219Z If run, these tests will be prioritized because they were modified: 2023-07-07T19:55:34.9107582Z nn/test_pooling 2023-07-07T19:55:34.9107911Z Didn't find any tests to prioritize 2023-07-07T19:55:36.0940842Z Prioritized tests will run about 0s sooner than they would've otherwise 2023-07-07T19:55:37.1931897Z Downloading https://ossci-metrics.s3.amazonaws.com/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2023-07-07T19:55:37.2751930Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2023-07-07T19:55:37.3757654Z No tests in group `Prioritized tests` 2023-07-07T19:55:37.3758377Z TEST GROUP: General tests 2023-07-07T19:55:37.3758712Z parallel (file granularity) tests : 2023-07-07T19:55:37.3759129Z onnx/test_pytorch_onnx_onnxruntime 2/2 2023-07-07T19:55:37.3759564Z onnx/test_fx_op_consistency 1/1 2023-07-07T19:55:37.3760000Z onnx/test_fx_to_onnx_with_onnxruntime 1/1 2023-07-07T19:55:37.3760406Z onnx/test_op_consistency 1/1 2023-07-07T19:55:37.3760788Z onnx/test_operators 1/1 2023-07-07T19:55:37.3761103Z onnx/test_fx_to_onnx 1/1 2023-07-07T19:55:37.3761302Z onnx/dynamo/test_exporter_api 1/1 2023-07-07T19:55:37.3761527Z onnx/test_pytorch_onnx_no_runtime 1/1 2023-07-07T19:55:37.3761746Z onnx/test_verification 1/1 2023-07-07T19:55:37.3761951Z onnx/test_export_modes 1/1 2023-07-07T19:55:37.3762150Z onnx/test_onnx_opset 1/1 2023-07-07T19:55:37.3762342Z onnx/test_fx_passes 1/1 2023-07-07T19:55:37.3762553Z onnx/test_pytorch_onnx_shape_inference 1/1 2023-07-07T19:55:37.3762796Z onnx/internal/test_diagnostics 1/1 2023-07-07T19:55:37.3763008Z onnx/test_pytorch_jit_onnx 1/1 2023-07-07T19:55:37.3763221Z onnx/internal/test_registraion 1/1 2023-07-07T19:55:37.3763439Z onnx/internal/test_beartype 1/1 2023-07-07T19:55:37.3763652Z onnx/test_fx_type_promotion 1/1 2023-07-07T19:55:37.3763850Z onnx/test_symbolic_helper 1/1 2023-07-07T19:55:37.3764055Z onnx/test_autograd_funs 1/1 2023-07-07T19:55:37.3764264Z onnx/test_onnxscript_runtime 1/1 2023-07-07T19:55:37.3764648Z onnx/dynamo/test_registry_dispatcher 1/1 2023-07-07T19:55:37.3764878Z serial (file granularity) tests: 2023-07-07T19:55:37.3765087Z onnx/test_utility_funs 1/1 2023-07-07T19:55:37.3765274Z onnx/test_custom_ops 1/1 2023-07-07T19:55:37.3765718Z onnx/test_models_quantized_onnxruntime 1/1 2023-07-07T19:55:39.3301659Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T19:55:39.3310873Z Ignoring disabled issues: [''] 2023-07-07T19:55:39.3384909Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T19:55:39.3393887Z Ignoring disabled issues: [''] 2023-07-07T19:55:40.5837628Z Running onnx/test_pytorch_onnx_onnxruntime 2/2 ... [2023-07-07 19:55:40.583308] 2023-07-07T19:55:40.5838863Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_pytorch_onnx_onnxruntime.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_pytorch_onnx_onnxruntime_1', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 19:55:40.583554] 2023-07-07T19:55:40.5890748Z Running onnx/test_fx_op_consistency 1/1 ... [2023-07-07 19:55:40.588781] 2023-07-07T19:55:40.5892814Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_fx_op_consistency.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_fx_op_consistency_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 19:55:40.589030] 2023-07-07T19:59:24.9085717Z 2023-07-07T19:59:24.9086321Z Expand the folded group to see the log file of onnx/test_fx_op_consistency 1/1 2023-07-07T19:59:24.9215210Z ##[group]PRINTING LOG FILE of onnx/test_fx_op_consistency 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_op_consistency_ic3ixqnn.log) 2023-07-07T19:59:24.9216502Z Test results will be stored in test-reports/python-pytest/onnx.test_fx_op_consistency/onnx.test_fx_op_consistency-8191c1211763578f.xml 2023-07-07T19:59:24.9217167Z ============================= test session starts ============================== 2023-07-07T19:59:24.9217882Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T19:59:24.9218380Z cachedir: .pytest_cache 2023-07-07T19:59:24.9219171Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T19:59:24.9219783Z rootdir: /var/lib/jenkins/workspace 2023-07-07T19:59:24.9220162Z configfile: pytest.ini 2023-07-07T19:59:24.9220911Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T19:59:24.9221528Z collecting ... collected 564 items 2023-07-07T19:59:24.9362676Z Running 564 items in this shard: test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_bool, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_bool, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_bool, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_bool, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_allclose_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_allclose_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_bool, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_uint8, 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test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_bool, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int16, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int32, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int64, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int8, test/onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_uint8 2023-07-07T19:59:24.9480848Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T19:59:24.9481031Z 2023-07-07T19:59:24.9494608Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_float16 PASSED [0.9287s] [ 0%] 2023-07-07T19:59:24.9495841Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_float32 PASSED [0.0409s] [ 0%] 2023-07-07T19:59:24.9496757Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int16 PASSED [0.0400s] [ 0%] 2023-07-07T19:59:24.9497666Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int32 PASSED [0.0401s] [ 0%] 2023-07-07T19:59:24.9498571Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int64 PASSED [0.0407s] [ 0%] 2023-07-07T19:59:24.9499480Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_int8 PASSED [0.0401s] [ 1%] 2023-07-07T19:59:24.9500382Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_abs_cpu_uint8 PASSED [0.0410s] [ 1%] 2023-07-07T19:59:24.9501288Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_bool PASSED [0.2964s] [ 1%] 2023-07-07T19:59:24.9502176Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_float16 PASSED [0.1331s] [ 1%] 2023-07-07T19:59:24.9503071Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_float32 PASSED [0.1127s] [ 1%] 2023-07-07T19:59:24.9503977Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int16 PASSED [0.1225s] [ 1%] 2023-07-07T19:59:24.9504885Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int32 PASSED [0.1263s] [ 2%] 2023-07-07T19:59:24.9505790Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int64 PASSED [0.1239s] [ 2%] 2023-07-07T19:59:24.9506665Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_int8 PASSED [0.1230s] [ 2%] 2023-07-07T19:59:24.9507576Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acos_cpu_uint8 PASSED [0.1234s] [ 2%] 2023-07-07T19:59:24.9508482Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_bool PASSED [0.1235s] [ 2%] 2023-07-07T19:59:24.9509409Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_float16 PASSED [0.1325s] [ 3%] 2023-07-07T19:59:24.9510309Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_float32 PASSED [0.1191s] [ 3%] 2023-07-07T19:59:24.9511227Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int16 PASSED [0.1268s] [ 3%] 2023-07-07T19:59:24.9512121Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int32 PASSED [0.1461s] [ 3%] 2023-07-07T19:59:24.9513043Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int64 PASSED [0.1613s] [ 3%] 2023-07-07T19:59:24.9513931Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_int8 PASSED [0.1685s] [ 3%] 2023-07-07T19:59:24.9514897Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_acosh_cpu_uint8 PASSED [0.2110s] [ 4%] 2023-07-07T19:59:24.9517322Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_bool /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T19:59:24.9518567Z _C._set_default_tensor_type(t) 2023-07-07T19:59:24.9519267Z [2023-07-07 19:55:48,396] torch.onnx: [WARNING] FX Node: call_function:aten.add.Tensor[name=add]. 2023-07-07T19:59:24.9519933Z ONNX Node: aten_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9520241Z 2023-07-07T19:59:24.9520631Z [2023-07-07 19:55:48,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9521299Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9521729Z 2023-07-07T19:59:24.9522074Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9522960Z - self: 2023-07-07T19:59:24.9523708Z - node: fx.Node(add[call_function]'aten.add.Tensor') 2023-07-07T19:59:24.9524207Z - aten_name: 2023-07-07T19:59:24.9524857Z - function_overloads: 2023-07-07T19:59:24.9525427Z - onnx_args: 2023-07-07T19:59:24.9526012Z - onnx_kwargs: 2023-07-07T19:59:24.9526880Z - diagnostic_context: 2023-07-07T19:59:24.9527761Z - Return value: `OnnxFunction(aten_add)` 2023-07-07T19:59:24.9528283Z XFAIL [0.0720s] [ 4%] 2023-07-07T19:59:24.9528879Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_float16 PASSED [0.9969s] [ 4%] 2023-07-07T19:59:24.9530092Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_float32 PASSED [0.9242s] [ 4%] 2023-07-07T19:59:24.9531101Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int16 XFAIL [0.0593s] [ 4%] 2023-07-07T19:59:24.9532183Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int32 PASSED [0.6099s] [ 4%] 2023-07-07T19:59:24.9533092Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int64 PASSED [0.5764s] [ 5%] 2023-07-07T19:59:24.9533993Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_int8 XFAIL [0.0427s] [ 5%] 2023-07-07T19:59:24.9535423Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_add_cpu_uint8 [2023-07-07 19:55:51,667] torch.onnx: [WARNING] FX Node: call_function:aten.add.Tensor[name=add]. 2023-07-07T19:59:24.9536277Z ONNX Node: aten_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9536546Z 2023-07-07T19:59:24.9537045Z [2023-07-07 19:55:51,667] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9537621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9537997Z 2023-07-07T19:59:24.9538305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9539081Z - self: 2023-07-07T19:59:24.9539763Z - node: fx.Node(add[call_function]'aten.add.Tensor') 2023-07-07T19:59:24.9540190Z - aten_name: 2023-07-07T19:59:24.9540612Z - function_overloads: 2023-07-07T19:59:24.9541017Z - onnx_args: 2023-07-07T19:59:24.9541392Z - onnx_kwargs: 2023-07-07T19:59:24.9541848Z - diagnostic_context: 2023-07-07T19:59:24.9542251Z - Return value: `OnnxFunction(aten_add)` 2023-07-07T19:59:24.9542448Z XFAIL [0.0431s] [ 5%] 2023-07-07T19:59:24.9542959Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_float32 PASSED [0.2021s] [ 5%] 2023-07-07T19:59:24.9543513Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int16 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 5%] 2023-07-07T19:59:24.9544198Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int16 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 5%] 2023-07-07T19:59:24.9544783Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int16 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 5%] 2023-07-07T19:59:24.9545291Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int16 PASSED [0.2620s] [ 5%] 2023-07-07T19:59:24.9545777Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int32 PASSED [0.2468s] [ 6%] 2023-07-07T19:59:24.9546261Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int64 PASSED [0.2094s] [ 6%] 2023-07-07T19:59:24.9546796Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9547377Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9547957Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9548483Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_int8 PASSED [0.1916s] [ 6%] 2023-07-07T19:59:24.9549198Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_uint8 [2023-07-07 19:55:52,846] torch.onnx: [WARNING] FX Node: call_function:aten.addmm.default[name=addmm]. 2023-07-07T19:59:24.9549642Z ONNX Node: aten_addmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9549813Z 2023-07-07T19:59:24.9550017Z [2023-07-07 19:55:52,846] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9550380Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9550609Z 2023-07-07T19:59:24.9550796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9551259Z - self: 2023-07-07T19:59:24.9551670Z - node: fx.Node(addmm[call_function]'aten.addmm.default') 2023-07-07T19:59:24.9551951Z - aten_name: 2023-07-07T19:59:24.9552192Z - function_overloads: 2023-07-07T19:59:24.9552439Z - onnx_args: 2023-07-07T19:59:24.9552675Z - onnx_kwargs: 2023-07-07T19:59:24.9553105Z - diagnostic_context: 2023-07-07T19:59:24.9553502Z - Return value: `OnnxFunction(aten_addmm)` 2023-07-07T19:59:24.9553897Z [2023-07-07 19:55:52,916] torch.onnx: [WARNING] FX Node: call_function:aten.addmm.default[name=addmm]. 2023-07-07T19:59:24.9554224Z ONNX Node: aten_addmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9554391Z 2023-07-07T19:59:24.9554666Z [2023-07-07 19:55:52,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9555029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9555256Z 2023-07-07T19:59:24.9555509Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9555993Z - self: 2023-07-07T19:59:24.9556426Z - node: fx.Node(addmm[call_function]'aten.addmm.default') 2023-07-07T19:59:24.9556722Z - aten_name: 2023-07-07T19:59:24.9556973Z - function_overloads: 2023-07-07T19:59:24.9557282Z - onnx_args: 2023-07-07T19:59:24.9557519Z - onnx_kwargs: 2023-07-07T19:59:24.9557945Z - diagnostic_context: 2023-07-07T19:59:24.9558336Z - Return value: `OnnxFunction(aten_addmm)` 2023-07-07T19:59:24.9558727Z [2023-07-07 19:55:52,995] torch.onnx: [WARNING] FX Node: call_function:aten.addmm.default[name=addmm]. 2023-07-07T19:59:24.9559057Z ONNX Node: aten_addmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9559226Z 2023-07-07T19:59:24.9559431Z [2023-07-07 19:55:52,995] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9559782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9560012Z 2023-07-07T19:59:24.9560198Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9560675Z - self: 2023-07-07T19:59:24.9561087Z - node: fx.Node(addmm[call_function]'aten.addmm.default') 2023-07-07T19:59:24.9561347Z - aten_name: 2023-07-07T19:59:24.9561600Z - function_overloads: 2023-07-07T19:59:24.9561846Z - onnx_args: 2023-07-07T19:59:24.9562072Z - onnx_kwargs: 2023-07-07T19:59:24.9562499Z - diagnostic_context: 2023-07-07T19:59:24.9562898Z - Return value: `OnnxFunction(aten_addmm)` 2023-07-07T19:59:24.9563175Z XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9563645Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_uint8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9564240Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_uint8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9565037Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_cpu_uint8 PASSED [0.2110s] [ 6%] 2023-07-07T19:59:24.9565786Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_float32 PASSED [0.2634s] [ 6%] 2023-07-07T19:59:24.9566684Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int16 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9567612Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int16 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9568494Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int16 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 6%] 2023-07-07T19:59:24.9569290Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int16 PASSED [0.2411s] [ 6%] 2023-07-07T19:59:24.9570000Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int32 PASSED [0.3807s] [ 7%] 2023-07-07T19:59:24.9570742Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int64 PASSED [0.1948s] [ 7%] 2023-07-07T19:59:24.9571739Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 7%] 2023-07-07T19:59:24.9572630Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 7%] 2023-07-07T19:59:24.9573604Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 7%] 2023-07-07T19:59:24.9574402Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_int8 PASSED [0.2404s] [ 7%] 2023-07-07T19:59:24.9575519Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_uint8 [2023-07-07 19:55:54,392] torch.onnx: [WARNING] FX Node: call_function:aten.addmm.default[name=addmm]. 2023-07-07T19:59:24.9576205Z ONNX Node: aten_addmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9576455Z 2023-07-07T19:59:24.9576757Z [2023-07-07 19:55:54,392] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9577269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9577608Z 2023-07-07T19:59:24.9577887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9578607Z - self: 2023-07-07T19:59:24.9579224Z - node: fx.Node(addmm[call_function]'aten.addmm.default') 2023-07-07T19:59:24.9579640Z - aten_name: 2023-07-07T19:59:24.9580013Z - function_overloads: 2023-07-07T19:59:24.9580382Z - onnx_args: 2023-07-07T19:59:24.9580731Z - onnx_kwargs: 2023-07-07T19:59:24.9581354Z - diagnostic_context: 2023-07-07T19:59:24.9581948Z - Return value: `OnnxFunction(aten_addmm)` 2023-07-07T19:59:24.9582510Z [2023-07-07 19:55:54,447] torch.onnx: [WARNING] FX Node: call_function:aten.addmm.default[name=addmm]. 2023-07-07T19:59:24.9582989Z ONNX Node: aten_addmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9583237Z 2023-07-07T19:59:24.9583539Z [2023-07-07 19:55:54,447] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9584071Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9584383Z 2023-07-07T19:59:24.9584657Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9585357Z - self: 2023-07-07T19:59:24.9585961Z - node: fx.Node(addmm[call_function]'aten.addmm.default') 2023-07-07T19:59:24.9586346Z - aten_name: 2023-07-07T19:59:24.9586740Z - function_overloads: 2023-07-07T19:59:24.9587104Z - onnx_args: 2023-07-07T19:59:24.9587441Z - onnx_kwargs: 2023-07-07T19:59:24.9588063Z - diagnostic_context: 2023-07-07T19:59:24.9588660Z - Return value: `OnnxFunction(aten_addmm)` 2023-07-07T19:59:24.9589238Z [2023-07-07 19:55:54,502] torch.onnx: [WARNING] FX Node: call_function:aten.addmm.default[name=addmm]. 2023-07-07T19:59:24.9589699Z ONNX Node: aten_addmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9589947Z 2023-07-07T19:59:24.9590246Z [2023-07-07 19:55:54,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9590777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9591110Z 2023-07-07T19:59:24.9591471Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9592160Z - self: 2023-07-07T19:59:24.9592754Z - node: fx.Node(addmm[call_function]'aten.addmm.default') 2023-07-07T19:59:24.9593164Z - aten_name: 2023-07-07T19:59:24.9593596Z - function_overloads: 2023-07-07T19:59:24.9593961Z - onnx_args: 2023-07-07T19:59:24.9594324Z - onnx_kwargs: 2023-07-07T19:59:24.9595007Z - diagnostic_context: 2023-07-07T19:59:24.9595608Z - Return value: `OnnxFunction(aten_addmm)` 2023-07-07T19:59:24.9596031Z XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 7%] 2023-07-07T19:59:24.9596736Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_uint8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 7%] 2023-07-07T19:59:24.9597632Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_uint8 XFAIL [0.0000s] (Add on int8, int16, uint8 not supported by ONNX script) [ 7%] 2023-07-07T19:59:24.9598454Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_addmm_decomposed_cpu_uint8 PASSED [0.1734s] [ 7%] 2023-07-07T19:59:24.9599515Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_bool [2023-07-07 19:55:54,584] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9600162Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9600404Z 2023-07-07T19:59:24.9600683Z [2023-07-07 19:55:54,584] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9601218Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9601546Z 2023-07-07T19:59:24.9601813Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9602513Z - self: 2023-07-07T19:59:24.9603065Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9603462Z - aten_name: 2023-07-07T19:59:24.9603832Z - function_overloads: 2023-07-07T19:59:24.9604179Z - onnx_args: 2023-07-07T19:59:24.9604724Z - onnx_kwargs: 2023-07-07T19:59:24.9605572Z - diagnostic_context: 2023-07-07T19:59:24.9606367Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9607086Z [2023-07-07 19:55:54,644] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9607699Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9607950Z 2023-07-07T19:59:24.9608387Z [2023-07-07 19:55:54,644] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9609023Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9609365Z 2023-07-07T19:59:24.9609761Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9610633Z - self: 2023-07-07T19:59:24.9611352Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9611731Z - aten_name: 2023-07-07T19:59:24.9612234Z - function_overloads: 2023-07-07T19:59:24.9612717Z - onnx_args: 2023-07-07T19:59:24.9613062Z - onnx_kwargs: 2023-07-07T19:59:24.9613972Z - diagnostic_context: 2023-07-07T19:59:24.9614714Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9615393Z [2023-07-07 19:55:54,742] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9615983Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9616229Z 2023-07-07T19:59:24.9616649Z [2023-07-07 19:55:54,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9617410Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9617739Z 2023-07-07T19:59:24.9618134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9619510Z - self: 2023-07-07T19:59:24.9620210Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9620601Z - aten_name: 2023-07-07T19:59:24.9621092Z - function_overloads: 2023-07-07T19:59:24.9621475Z - onnx_args: 2023-07-07T19:59:24.9621940Z - onnx_kwargs: 2023-07-07T19:59:24.9622705Z - diagnostic_context: 2023-07-07T19:59:24.9623470Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9624216Z [2023-07-07 19:55:54,783] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9624861Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9625151Z 2023-07-07T19:59:24.9625615Z [2023-07-07 19:55:54,783] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9626396Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9626782Z 2023-07-07T19:59:24.9627215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9628141Z - self: 2023-07-07T19:59:24.9628951Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9629636Z - aten_name: 2023-07-07T19:59:24.9630176Z - function_overloads: 2023-07-07T19:59:24.9630619Z - onnx_args: 2023-07-07T19:59:24.9631180Z - onnx_kwargs: 2023-07-07T19:59:24.9632030Z - diagnostic_context: 2023-07-07T19:59:24.9632849Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9633635Z [2023-07-07 19:55:54,869] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9634297Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9634769Z 2023-07-07T19:59:24.9635111Z [2023-07-07 19:55:54,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9635851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9636351Z 2023-07-07T19:59:24.9636665Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9637601Z - self: 2023-07-07T19:59:24.9638389Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9638961Z - aten_name: 2023-07-07T19:59:24.9639530Z - function_overloads: 2023-07-07T19:59:24.9639932Z - onnx_args: 2023-07-07T19:59:24.9640333Z - onnx_kwargs: 2023-07-07T19:59:24.9641043Z - diagnostic_context: 2023-07-07T19:59:24.9641701Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9642318Z [2023-07-07 19:55:54,911] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9642989Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9643276Z 2023-07-07T19:59:24.9643616Z [2023-07-07 19:55:54,911] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9644118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9644345Z 2023-07-07T19:59:24.9644845Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9645703Z - self: 2023-07-07T19:59:24.9646421Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9646804Z - aten_name: 2023-07-07T19:59:24.9647188Z - function_overloads: 2023-07-07T19:59:24.9647563Z - onnx_args: 2023-07-07T19:59:24.9647907Z - onnx_kwargs: 2023-07-07T19:59:24.9648556Z - diagnostic_context: 2023-07-07T19:59:24.9649174Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9649735Z [2023-07-07 19:55:54,994] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9650216Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9650468Z 2023-07-07T19:59:24.9650778Z [2023-07-07 19:55:54,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9651315Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9651651Z 2023-07-07T19:59:24.9651916Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9652642Z - self: 2023-07-07T19:59:24.9653227Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9653626Z - aten_name: 2023-07-07T19:59:24.9653999Z - function_overloads: 2023-07-07T19:59:24.9654365Z - onnx_args: 2023-07-07T19:59:24.9654722Z - onnx_kwargs: 2023-07-07T19:59:24.9655343Z - diagnostic_context: 2023-07-07T19:59:24.9655938Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9656519Z [2023-07-07 19:55:55,050] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9656968Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9657215Z 2023-07-07T19:59:24.9657512Z [2023-07-07 19:55:55,050] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9658050Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9658381Z 2023-07-07T19:59:24.9658655Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9659357Z - self: 2023-07-07T19:59:24.9659939Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9660329Z - aten_name: 2023-07-07T19:59:24.9660695Z - function_overloads: 2023-07-07T19:59:24.9661065Z - onnx_args: 2023-07-07T19:59:24.9661404Z - onnx_kwargs: 2023-07-07T19:59:24.9662045Z - diagnostic_context: 2023-07-07T19:59:24.9662651Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9663202Z [2023-07-07 19:55:55,107] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9663667Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9663917Z 2023-07-07T19:59:24.9664207Z [2023-07-07 19:55:55,107] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9664877Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9665215Z 2023-07-07T19:59:24.9665471Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9666170Z - self: 2023-07-07T19:59:24.9666824Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9667212Z - aten_name: 2023-07-07T19:59:24.9667567Z - function_overloads: 2023-07-07T19:59:24.9667933Z - onnx_args: 2023-07-07T19:59:24.9668278Z - onnx_kwargs: 2023-07-07T19:59:24.9668902Z - diagnostic_context: 2023-07-07T19:59:24.9669502Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9669833Z PASSED [0.6053s] [ 7%] 2023-07-07T19:59:24.9670685Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_float16 [2023-07-07 19:55:55,217] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9671336Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9671578Z 2023-07-07T19:59:24.9671874Z [2023-07-07 19:55:55,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9672400Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9672723Z 2023-07-07T19:59:24.9672978Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9673661Z - self: 2023-07-07T19:59:24.9674230Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9674670Z - aten_name: 2023-07-07T19:59:24.9675026Z - function_overloads: 2023-07-07T19:59:24.9675402Z - onnx_args: 2023-07-07T19:59:24.9675752Z - onnx_kwargs: 2023-07-07T19:59:24.9676361Z - diagnostic_context: 2023-07-07T19:59:24.9676957Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9677517Z [2023-07-07 19:55:55,274] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9677976Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9678220Z 2023-07-07T19:59:24.9678529Z [2023-07-07 19:55:55,274] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9679047Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9679380Z 2023-07-07T19:59:24.9679648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9680346Z - self: 2023-07-07T19:59:24.9680922Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9681317Z - aten_name: 2023-07-07T19:59:24.9681678Z - function_overloads: 2023-07-07T19:59:24.9682044Z - onnx_args: 2023-07-07T19:59:24.9682401Z - onnx_kwargs: 2023-07-07T19:59:24.9683016Z - diagnostic_context: 2023-07-07T19:59:24.9683615Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9684172Z [2023-07-07 19:55:55,384] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9684798Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9685055Z 2023-07-07T19:59:24.9685355Z [2023-07-07 19:55:55,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9686044Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9686377Z 2023-07-07T19:59:24.9686652Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9687358Z - self: 2023-07-07T19:59:24.9687921Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9688409Z - aten_name: 2023-07-07T19:59:24.9688785Z - function_overloads: 2023-07-07T19:59:24.9689139Z - onnx_args: 2023-07-07T19:59:24.9689500Z - onnx_kwargs: 2023-07-07T19:59:24.9690127Z - diagnostic_context: 2023-07-07T19:59:24.9690719Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9691258Z [2023-07-07 19:55:55,437] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9691720Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9691964Z 2023-07-07T19:59:24.9692257Z [2023-07-07 19:55:55,437] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9692761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9693086Z 2023-07-07T19:59:24.9693355Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9694046Z - self: 2023-07-07T19:59:24.9694613Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9694980Z - aten_name: 2023-07-07T19:59:24.9695343Z - function_overloads: 2023-07-07T19:59:24.9695700Z - onnx_args: 2023-07-07T19:59:24.9696036Z - onnx_kwargs: 2023-07-07T19:59:24.9696676Z - diagnostic_context: 2023-07-07T19:59:24.9697293Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9697941Z [2023-07-07 19:55:55,528] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9698518Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9698771Z 2023-07-07T19:59:24.9699068Z [2023-07-07 19:55:55,529] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9699630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9699989Z 2023-07-07T19:59:24.9700305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9701175Z - self: 2023-07-07T19:59:24.9701924Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9702426Z - aten_name: 2023-07-07T19:59:24.9702899Z - function_overloads: 2023-07-07T19:59:24.9703363Z - onnx_args: 2023-07-07T19:59:24.9703787Z - onnx_kwargs: 2023-07-07T19:59:24.9704534Z - diagnostic_context: 2023-07-07T19:59:24.9705296Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9706022Z [2023-07-07 19:55:55,586] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9706593Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9706919Z 2023-07-07T19:59:24.9707684Z [2023-07-07 19:55:55,586] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9708378Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9708806Z 2023-07-07T19:59:24.9709150Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9709984Z - self: 2023-07-07T19:59:24.9710547Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9710944Z - aten_name: 2023-07-07T19:59:24.9711281Z - function_overloads: 2023-07-07T19:59:24.9711663Z - onnx_args: 2023-07-07T19:59:24.9712028Z - onnx_kwargs: 2023-07-07T19:59:24.9712756Z - diagnostic_context: 2023-07-07T19:59:24.9713387Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9713958Z [2023-07-07 19:55:55,707] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9714439Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9714747Z 2023-07-07T19:59:24.9715047Z [2023-07-07 19:55:55,707] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9715594Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9715934Z 2023-07-07T19:59:24.9716220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9716931Z - self: 2023-07-07T19:59:24.9717494Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9717891Z - aten_name: 2023-07-07T19:59:24.9718264Z - function_overloads: 2023-07-07T19:59:24.9718612Z - onnx_args: 2023-07-07T19:59:24.9718961Z - onnx_kwargs: 2023-07-07T19:59:24.9719585Z - diagnostic_context: 2023-07-07T19:59:24.9720158Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9720717Z [2023-07-07 19:55:55,767] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9721301Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9721558Z 2023-07-07T19:59:24.9721851Z [2023-07-07 19:55:55,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9722348Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9722680Z 2023-07-07T19:59:24.9722962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9723676Z - self: 2023-07-07T19:59:24.9724250Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9724784Z - aten_name: 2023-07-07T19:59:24.9725158Z - function_overloads: 2023-07-07T19:59:24.9725523Z - onnx_args: 2023-07-07T19:59:24.9725887Z - onnx_kwargs: 2023-07-07T19:59:24.9726510Z - diagnostic_context: 2023-07-07T19:59:24.9727105Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9727645Z [2023-07-07 19:55:55,826] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9728106Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9728352Z 2023-07-07T19:59:24.9728648Z [2023-07-07 19:55:55,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9729190Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9729526Z 2023-07-07T19:59:24.9729942Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9730700Z - self: 2023-07-07T19:59:24.9731277Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9731702Z - aten_name: 2023-07-07T19:59:24.9732351Z - function_overloads: 2023-07-07T19:59:24.9732728Z - onnx_args: 2023-07-07T19:59:24.9733071Z - onnx_kwargs: 2023-07-07T19:59:24.9733701Z - diagnostic_context: 2023-07-07T19:59:24.9734288Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9734711Z PASSED [0.7167s] [ 7%] 2023-07-07T19:59:24.9735558Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_float32 [2023-07-07 19:55:55,919] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9736206Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9736455Z 2023-07-07T19:59:24.9736754Z [2023-07-07 19:55:55,919] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9737295Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9737623Z 2023-07-07T19:59:24.9737901Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9738599Z - self: 2023-07-07T19:59:24.9739174Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9739546Z - aten_name: 2023-07-07T19:59:24.9739926Z - function_overloads: 2023-07-07T19:59:24.9740298Z - onnx_args: 2023-07-07T19:59:24.9740637Z - onnx_kwargs: 2023-07-07T19:59:24.9741274Z - diagnostic_context: 2023-07-07T19:59:24.9741884Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9742452Z [2023-07-07 19:55:55,974] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9742898Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9743141Z 2023-07-07T19:59:24.9743455Z [2023-07-07 19:55:55,974] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9744000Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9744330Z 2023-07-07T19:59:24.9744607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9745305Z - self: 2023-07-07T19:59:24.9745875Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9746267Z - aten_name: 2023-07-07T19:59:24.9746623Z - function_overloads: 2023-07-07T19:59:24.9746984Z - onnx_args: 2023-07-07T19:59:24.9747340Z - onnx_kwargs: 2023-07-07T19:59:24.9747968Z - diagnostic_context: 2023-07-07T19:59:24.9748581Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9749151Z [2023-07-07 19:55:56,108] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9749607Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9749859Z 2023-07-07T19:59:24.9750156Z [2023-07-07 19:55:56,108] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9750686Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9751013Z 2023-07-07T19:59:24.9751280Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9751967Z - self: 2023-07-07T19:59:24.9752544Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9752936Z - aten_name: 2023-07-07T19:59:24.9753307Z - function_overloads: 2023-07-07T19:59:24.9753793Z - onnx_args: 2023-07-07T19:59:24.9754154Z - onnx_kwargs: 2023-07-07T19:59:24.9754867Z - diagnostic_context: 2023-07-07T19:59:24.9755460Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9756019Z [2023-07-07 19:55:56,178] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9756570Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9756811Z 2023-07-07T19:59:24.9757090Z [2023-07-07 19:55:56,178] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9757620Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9757949Z 2023-07-07T19:59:24.9758223Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9758924Z - self: 2023-07-07T19:59:24.9759483Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9759869Z - aten_name: 2023-07-07T19:59:24.9760240Z - function_overloads: 2023-07-07T19:59:24.9760584Z - onnx_args: 2023-07-07T19:59:24.9760930Z - onnx_kwargs: 2023-07-07T19:59:24.9761555Z - diagnostic_context: 2023-07-07T19:59:24.9762154Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9762727Z [2023-07-07 19:55:56,297] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9763194Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9763441Z 2023-07-07T19:59:24.9763732Z [2023-07-07 19:55:56,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9764252Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9764692Z 2023-07-07T19:59:24.9764976Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9765698Z - self: 2023-07-07T19:59:24.9766289Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9766667Z - aten_name: 2023-07-07T19:59:24.9767050Z - function_overloads: 2023-07-07T19:59:24.9767413Z - onnx_args: 2023-07-07T19:59:24.9767745Z - onnx_kwargs: 2023-07-07T19:59:24.9768385Z - diagnostic_context: 2023-07-07T19:59:24.9769006Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9769548Z [2023-07-07 19:55:56,363] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9770010Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9770263Z 2023-07-07T19:59:24.9770559Z [2023-07-07 19:55:56,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9771085Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9771399Z 2023-07-07T19:59:24.9771673Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9772395Z - self: 2023-07-07T19:59:24.9772964Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9773356Z - aten_name: 2023-07-07T19:59:24.9773723Z - function_overloads: 2023-07-07T19:59:24.9774102Z - onnx_args: 2023-07-07T19:59:24.9774452Z - onnx_kwargs: 2023-07-07T19:59:24.9775072Z - diagnostic_context: 2023-07-07T19:59:24.9775805Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9776378Z [2023-07-07 19:55:56,513] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9776841Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9777087Z 2023-07-07T19:59:24.9777391Z [2023-07-07 19:55:56,513] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9778014Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9778343Z 2023-07-07T19:59:24.9778613Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9779300Z - self: 2023-07-07T19:59:24.9779875Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9780262Z - aten_name: 2023-07-07T19:59:24.9780624Z - function_overloads: 2023-07-07T19:59:24.9780998Z - onnx_args: 2023-07-07T19:59:24.9781351Z - onnx_kwargs: 2023-07-07T19:59:24.9781967Z - diagnostic_context: 2023-07-07T19:59:24.9782553Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9783131Z [2023-07-07 19:55:56,586] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9783605Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9783834Z 2023-07-07T19:59:24.9784134Z [2023-07-07 19:55:56,586] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9784663Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9784998Z 2023-07-07T19:59:24.9785269Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9785976Z - self: 2023-07-07T19:59:24.9786598Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9786969Z - aten_name: 2023-07-07T19:59:24.9787323Z - function_overloads: 2023-07-07T19:59:24.9787660Z - onnx_args: 2023-07-07T19:59:24.9788014Z - onnx_kwargs: 2023-07-07T19:59:24.9788640Z - diagnostic_context: 2023-07-07T19:59:24.9789233Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9789803Z [2023-07-07 19:55:56,664] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9790267Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9790511Z 2023-07-07T19:59:24.9790803Z [2023-07-07 19:55:56,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9791316Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9791646Z 2023-07-07T19:59:24.9791910Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9792633Z - self: 2023-07-07T19:59:24.9793202Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9793596Z - aten_name: 2023-07-07T19:59:24.9793969Z - function_overloads: 2023-07-07T19:59:24.9794315Z - onnx_args: 2023-07-07T19:59:24.9794728Z - onnx_kwargs: 2023-07-07T19:59:24.9795356Z - diagnostic_context: 2023-07-07T19:59:24.9795967Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9796273Z PASSED [0.8672s] [ 8%] 2023-07-07T19:59:24.9797237Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int16 [2023-07-07 19:55:56,809] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9797902Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9798157Z 2023-07-07T19:59:24.9798450Z [2023-07-07 19:55:56,809] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9798978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9799376Z 2023-07-07T19:59:24.9799646Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9800353Z - self: 2023-07-07T19:59:24.9800912Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9801302Z - aten_name: 2023-07-07T19:59:24.9801670Z - function_overloads: 2023-07-07T19:59:24.9802021Z - onnx_args: 2023-07-07T19:59:24.9802375Z - onnx_kwargs: 2023-07-07T19:59:24.9803000Z - diagnostic_context: 2023-07-07T19:59:24.9803591Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9804141Z [2023-07-07 19:55:56,872] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9804776Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9805025Z 2023-07-07T19:59:24.9805340Z [2023-07-07 19:55:56,873] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9805849Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9806196Z 2023-07-07T19:59:24.9806466Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9807166Z - self: 2023-07-07T19:59:24.9807751Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9808129Z - aten_name: 2023-07-07T19:59:24.9808506Z - function_overloads: 2023-07-07T19:59:24.9808876Z - onnx_args: 2023-07-07T19:59:24.9809210Z - onnx_kwargs: 2023-07-07T19:59:24.9809828Z - diagnostic_context: 2023-07-07T19:59:24.9810429Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9810975Z [2023-07-07 19:55:57,013] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9811436Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9811682Z 2023-07-07T19:59:24.9811980Z [2023-07-07 19:55:57,013] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9812504Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9812835Z 2023-07-07T19:59:24.9813113Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9813847Z - self: 2023-07-07T19:59:24.9814458Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9814880Z - aten_name: 2023-07-07T19:59:24.9815263Z - function_overloads: 2023-07-07T19:59:24.9815656Z - onnx_args: 2023-07-07T19:59:24.9816017Z - onnx_kwargs: 2023-07-07T19:59:24.9816667Z - diagnostic_context: 2023-07-07T19:59:24.9817315Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9817904Z [2023-07-07 19:55:57,091] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9818386Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9818654Z 2023-07-07T19:59:24.9819121Z [2023-07-07 19:55:57,091] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9819681Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9820014Z 2023-07-07T19:59:24.9820287Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9821088Z - self: 2023-07-07T19:59:24.9821663Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9822058Z - aten_name: 2023-07-07T19:59:24.9822432Z - function_overloads: 2023-07-07T19:59:24.9822788Z - onnx_args: 2023-07-07T19:59:24.9823138Z - onnx_kwargs: 2023-07-07T19:59:24.9823764Z - diagnostic_context: 2023-07-07T19:59:24.9824355Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9824924Z [2023-07-07 19:55:57,250] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9825405Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9825650Z 2023-07-07T19:59:24.9825964Z [2023-07-07 19:55:57,250] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9826540Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9826892Z 2023-07-07T19:59:24.9827177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9827948Z - self: 2023-07-07T19:59:24.9828485Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9828888Z - aten_name: 2023-07-07T19:59:24.9829265Z - function_overloads: 2023-07-07T19:59:24.9829631Z - onnx_args: 2023-07-07T19:59:24.9830003Z - onnx_kwargs: 2023-07-07T19:59:24.9830872Z - diagnostic_context: 2023-07-07T19:59:24.9831671Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9832368Z [2023-07-07 19:55:57,327] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9832990Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9833253Z 2023-07-07T19:59:24.9833693Z [2023-07-07 19:55:57,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9834224Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9834732Z 2023-07-07T19:59:24.9835017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9835994Z - self: 2023-07-07T19:59:24.9836685Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9837061Z - aten_name: 2023-07-07T19:59:24.9837573Z - function_overloads: 2023-07-07T19:59:24.9837954Z - onnx_args: 2023-07-07T19:59:24.9838439Z - onnx_kwargs: 2023-07-07T19:59:24.9839214Z - diagnostic_context: 2023-07-07T19:59:24.9839980Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9840702Z [2023-07-07 19:55:57,473] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9841307Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9841571Z 2023-07-07T19:59:24.9842004Z [2023-07-07 19:55:57,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9842572Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9843147Z 2023-07-07T19:59:24.9843579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9844482Z - self: 2023-07-07T19:59:24.9845222Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9845886Z - aten_name: 2023-07-07T19:59:24.9846268Z - function_overloads: 2023-07-07T19:59:24.9846772Z - onnx_args: 2023-07-07T19:59:24.9847137Z - onnx_kwargs: 2023-07-07T19:59:24.9847902Z - diagnostic_context: 2023-07-07T19:59:24.9848657Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9849370Z [2023-07-07 19:55:57,531] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9849981Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9850231Z 2023-07-07T19:59:24.9850678Z [2023-07-07 19:55:57,531] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9851362Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9851705Z 2023-07-07T19:59:24.9852111Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9852978Z - self: 2023-07-07T19:59:24.9853693Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9854227Z - aten_name: 2023-07-07T19:59:24.9854628Z - function_overloads: 2023-07-07T19:59:24.9855119Z - onnx_args: 2023-07-07T19:59:24.9855468Z - onnx_kwargs: 2023-07-07T19:59:24.9856230Z - diagnostic_context: 2023-07-07T19:59:24.9857002Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9857724Z [2023-07-07 19:55:57,591] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9858334Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9858589Z 2023-07-07T19:59:24.9859073Z [2023-07-07 19:55:57,591] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9859726Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9860072Z 2023-07-07T19:59:24.9860468Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9861319Z - self: 2023-07-07T19:59:24.9862028Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9862429Z - aten_name: 2023-07-07T19:59:24.9862941Z - function_overloads: 2023-07-07T19:59:24.9965456Z - onnx_args: 2023-07-07T19:59:24.9966058Z - onnx_kwargs: 2023-07-07T19:59:24.9966678Z - diagnostic_context: 2023-07-07T19:59:24.9967301Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9967693Z PASSED [0.8937s] [ 8%] 2023-07-07T19:59:24.9968607Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int32 [2023-07-07 19:55:57,695] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9969348Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9969594Z 2023-07-07T19:59:24.9969929Z [2023-07-07 19:55:57,695] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9970460Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9970812Z 2023-07-07T19:59:24.9971403Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9972177Z - self: 2023-07-07T19:59:24.9972766Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9973161Z - aten_name: 2023-07-07T19:59:24.9973552Z - function_overloads: 2023-07-07T19:59:24.9974089Z - onnx_args: 2023-07-07T19:59:24.9974471Z - onnx_kwargs: 2023-07-07T19:59:24.9975110Z - diagnostic_context: 2023-07-07T19:59:24.9975767Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9976382Z [2023-07-07 19:55:57,754] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9976909Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9977187Z 2023-07-07T19:59:24.9977568Z [2023-07-07 19:55:57,754] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9978217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9978635Z 2023-07-07T19:59:24.9978974Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9979873Z - self: 2023-07-07T19:59:24.9980610Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9981079Z - aten_name: 2023-07-07T19:59:24.9981535Z - function_overloads: 2023-07-07T19:59:24.9981943Z - onnx_args: 2023-07-07T19:59:24.9982342Z - onnx_kwargs: 2023-07-07T19:59:24.9983386Z - diagnostic_context: 2023-07-07T19:59:24.9984346Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9985065Z [2023-07-07 19:55:57,871] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9985539Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9985784Z 2023-07-07T19:59:24.9986073Z [2023-07-07 19:55:57,871] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9986589Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9986923Z 2023-07-07T19:59:24.9987184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9987903Z - self: 2023-07-07T19:59:24.9988544Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9989000Z - aten_name: 2023-07-07T19:59:24.9989342Z - function_overloads: 2023-07-07T19:59:24.9989731Z - onnx_args: 2023-07-07T19:59:24.9990132Z - onnx_kwargs: 2023-07-07T19:59:24.9990740Z - diagnostic_context: 2023-07-07T19:59:24.9991322Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:24.9991919Z [2023-07-07 19:55:57,926] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:24.9992458Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:24.9992798Z 2023-07-07T19:59:24.9993140Z [2023-07-07 19:55:57,926] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:24.9993692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:24.9994040Z 2023-07-07T19:59:24.9994379Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:24.9995265Z - self: 2023-07-07T19:59:24.9996057Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:24.9996487Z - aten_name: 2023-07-07T19:59:24.9996851Z - function_overloads: 2023-07-07T19:59:24.9997414Z - onnx_args: 2023-07-07T19:59:24.9997795Z - onnx_kwargs: 2023-07-07T19:59:24.9998667Z - diagnostic_context: 2023-07-07T19:59:24.9999472Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0000108Z [2023-07-07 19:55:58,039] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0000490Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0000663Z 2023-07-07T19:59:25.0000869Z [2023-07-07 19:55:58,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0001266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0001496Z 2023-07-07T19:59:25.0001692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0002175Z - self: 2023-07-07T19:59:25.0002557Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0002824Z - aten_name: 2023-07-07T19:59:25.0003086Z - function_overloads: 2023-07-07T19:59:25.0003339Z - onnx_args: 2023-07-07T19:59:25.0003564Z - onnx_kwargs: 2023-07-07T19:59:25.0003989Z - diagnostic_context: 2023-07-07T19:59:25.0004604Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0005060Z [2023-07-07 19:55:58,085] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0005382Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0005556Z 2023-07-07T19:59:25.0005762Z [2023-07-07 19:55:58,085] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0006117Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0006334Z 2023-07-07T19:59:25.0006523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0007010Z - self: 2023-07-07T19:59:25.0007396Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0007646Z - aten_name: 2023-07-07T19:59:25.0007890Z - function_overloads: 2023-07-07T19:59:25.0008134Z - onnx_args: 2023-07-07T19:59:25.0008363Z - onnx_kwargs: 2023-07-07T19:59:25.0008772Z - diagnostic_context: 2023-07-07T19:59:25.0009177Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0009559Z [2023-07-07 19:55:58,185] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0009867Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0010034Z 2023-07-07T19:59:25.0010231Z [2023-07-07 19:55:58,185] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0010587Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0010813Z 2023-07-07T19:59:25.0010995Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0011453Z - self: 2023-07-07T19:59:25.0011836Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0012089Z - aten_name: 2023-07-07T19:59:25.0012330Z - function_overloads: 2023-07-07T19:59:25.0012572Z - onnx_args: 2023-07-07T19:59:25.0012956Z - onnx_kwargs: 2023-07-07T19:59:25.0013368Z - diagnostic_context: 2023-07-07T19:59:25.0013777Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0014156Z [2023-07-07 19:55:58,229] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0014551Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0014717Z 2023-07-07T19:59:25.0014953Z [2023-07-07 19:55:58,229] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0015309Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0015579Z 2023-07-07T19:59:25.0015769Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0016243Z - self: 2023-07-07T19:59:25.0016623Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0016887Z - aten_name: 2023-07-07T19:59:25.0017141Z - function_overloads: 2023-07-07T19:59:25.0017379Z - onnx_args: 2023-07-07T19:59:25.0017618Z - onnx_kwargs: 2023-07-07T19:59:25.0018049Z - diagnostic_context: 2023-07-07T19:59:25.0018450Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0018834Z [2023-07-07 19:55:58,283] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0019162Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0019330Z 2023-07-07T19:59:25.0019534Z [2023-07-07 19:55:58,283] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0019880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0020116Z 2023-07-07T19:59:25.0020304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0020784Z - self: 2023-07-07T19:59:25.0021175Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0021429Z - aten_name: 2023-07-07T19:59:25.0021686Z - function_overloads: 2023-07-07T19:59:25.0021938Z - onnx_args: 2023-07-07T19:59:25.0022160Z - onnx_kwargs: 2023-07-07T19:59:25.0022594Z - diagnostic_context: 2023-07-07T19:59:25.0023003Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0023216Z PASSED [0.7091s] [ 8%] 2023-07-07T19:59:25.0023809Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int64 [2023-07-07 19:55:58,391] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0024263Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0024432Z 2023-07-07T19:59:25.0024633Z [2023-07-07 19:55:58,391] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0024977Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0025208Z 2023-07-07T19:59:25.0025395Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0025870Z - self: 2023-07-07T19:59:25.0026272Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0026518Z - aten_name: 2023-07-07T19:59:25.0026767Z - function_overloads: 2023-07-07T19:59:25.0027013Z - onnx_args: 2023-07-07T19:59:25.0027236Z - onnx_kwargs: 2023-07-07T19:59:25.0027744Z - diagnostic_context: 2023-07-07T19:59:25.0028165Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0028533Z [2023-07-07 19:55:58,461] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0028856Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0029088Z 2023-07-07T19:59:25.0029286Z [2023-07-07 19:55:58,461] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0029643Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0029866Z 2023-07-07T19:59:25.0030039Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0030518Z - self: 2023-07-07T19:59:25.0030906Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0031170Z - aten_name: 2023-07-07T19:59:25.0031408Z - function_overloads: 2023-07-07T19:59:25.0031655Z - onnx_args: 2023-07-07T19:59:25.0031888Z - onnx_kwargs: 2023-07-07T19:59:25.0032298Z - diagnostic_context: 2023-07-07T19:59:25.0032711Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0033090Z [2023-07-07 19:55:58,562] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0033398Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0033565Z 2023-07-07T19:59:25.0033764Z [2023-07-07 19:55:58,562] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0034121Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0034342Z 2023-07-07T19:59:25.0034606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0035073Z - self: 2023-07-07T19:59:25.0035469Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0035733Z - aten_name: 2023-07-07T19:59:25.0035973Z - function_overloads: 2023-07-07T19:59:25.0036227Z - onnx_args: 2023-07-07T19:59:25.0036462Z - onnx_kwargs: 2023-07-07T19:59:25.0036890Z - diagnostic_context: 2023-07-07T19:59:25.0037287Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0037668Z [2023-07-07 19:55:58,613] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0037990Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0038160Z 2023-07-07T19:59:25.0038350Z [2023-07-07 19:55:58,613] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0038710Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0038935Z 2023-07-07T19:59:25.0039119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0039595Z - self: 2023-07-07T19:59:25.0039978Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0040238Z - aten_name: 2023-07-07T19:59:25.0040485Z - function_overloads: 2023-07-07T19:59:25.0040716Z - onnx_args: 2023-07-07T19:59:25.0040949Z - onnx_kwargs: 2023-07-07T19:59:25.0041375Z - diagnostic_context: 2023-07-07T19:59:25.0041770Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0042214Z [2023-07-07 19:55:58,699] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0042532Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0042702Z 2023-07-07T19:59:25.0042901Z [2023-07-07 19:55:58,699] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0043248Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0043534Z 2023-07-07T19:59:25.0043720Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0044192Z - self: 2023-07-07T19:59:25.0044777Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0045029Z - aten_name: 2023-07-07T19:59:25.0045281Z - function_overloads: 2023-07-07T19:59:25.0045530Z - onnx_args: 2023-07-07T19:59:25.0045754Z - onnx_kwargs: 2023-07-07T19:59:25.0046182Z - diagnostic_context: 2023-07-07T19:59:25.0046590Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0046952Z [2023-07-07 19:55:58,750] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0047274Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0047447Z 2023-07-07T19:59:25.0047644Z [2023-07-07 19:55:58,750] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0048008Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0048221Z 2023-07-07T19:59:25.0048404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0048875Z - self: 2023-07-07T19:59:25.0049273Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0049521Z - aten_name: 2023-07-07T19:59:25.0049770Z - function_overloads: 2023-07-07T19:59:25.0050014Z - onnx_args: 2023-07-07T19:59:25.0050235Z - onnx_kwargs: 2023-07-07T19:59:25.0050657Z - diagnostic_context: 2023-07-07T19:59:25.0051069Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0051443Z [2023-07-07 19:55:58,857] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0051750Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0051916Z 2023-07-07T19:59:25.0052108Z [2023-07-07 19:55:58,857] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0052463Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0052690Z 2023-07-07T19:59:25.0052878Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0053343Z - self: 2023-07-07T19:59:25.0053735Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0054001Z - aten_name: 2023-07-07T19:59:25.0054241Z - function_overloads: 2023-07-07T19:59:25.0054497Z - onnx_args: 2023-07-07T19:59:25.0054734Z - onnx_kwargs: 2023-07-07T19:59:25.0055146Z - diagnostic_context: 2023-07-07T19:59:25.0055554Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0055933Z [2023-07-07 19:55:58,902] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0056240Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0056410Z 2023-07-07T19:59:25.0056702Z [2023-07-07 19:55:58,902] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0057066Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0057291Z 2023-07-07T19:59:25.0057476Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0057937Z - self: 2023-07-07T19:59:25.0058408Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0058671Z - aten_name: 2023-07-07T19:59:25.0058921Z - function_overloads: 2023-07-07T19:59:25.0059151Z - onnx_args: 2023-07-07T19:59:25.0059387Z - onnx_kwargs: 2023-07-07T19:59:25.0059811Z - diagnostic_context: 2023-07-07T19:59:25.0060208Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0060595Z [2023-07-07 19:55:58,959] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0060915Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0061082Z 2023-07-07T19:59:25.0061266Z [2023-07-07 19:55:58,959] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0061620Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0061849Z 2023-07-07T19:59:25.0062035Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0062506Z - self: 2023-07-07T19:59:25.0062884Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0063140Z - aten_name: 2023-07-07T19:59:25.0063385Z - function_overloads: 2023-07-07T19:59:25.0063611Z - onnx_args: 2023-07-07T19:59:25.0063849Z - onnx_kwargs: 2023-07-07T19:59:25.0064269Z - diagnostic_context: 2023-07-07T19:59:25.0064662Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0064880Z PASSED [0.6552s] [ 8%] 2023-07-07T19:59:25.0065451Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_int8 [2023-07-07 19:55:59,080] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0065902Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0066064Z 2023-07-07T19:59:25.0066249Z [2023-07-07 19:55:59,080] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0066605Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0066827Z 2023-07-07T19:59:25.0067011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0067487Z - self: 2023-07-07T19:59:25.0067857Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0068114Z - aten_name: 2023-07-07T19:59:25.0068365Z - function_overloads: 2023-07-07T19:59:25.0068594Z - onnx_args: 2023-07-07T19:59:25.0068832Z - onnx_kwargs: 2023-07-07T19:59:25.0069252Z - diagnostic_context: 2023-07-07T19:59:25.0069647Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0070020Z [2023-07-07 19:55:59,138] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0070338Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0070504Z 2023-07-07T19:59:25.0070702Z [2023-07-07 19:55:59,138] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0071104Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0071332Z 2023-07-07T19:59:25.0071518Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0071980Z - self: 2023-07-07T19:59:25.0072448Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0072696Z - aten_name: 2023-07-07T19:59:25.0072944Z - function_overloads: 2023-07-07T19:59:25.0073187Z - onnx_args: 2023-07-07T19:59:25.0073407Z - onnx_kwargs: 2023-07-07T19:59:25.0073839Z - diagnostic_context: 2023-07-07T19:59:25.0074249Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0074706Z [2023-07-07 19:55:59,249] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0075029Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0075194Z 2023-07-07T19:59:25.0075390Z [2023-07-07 19:55:59,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0075748Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0075964Z 2023-07-07T19:59:25.0076149Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0076612Z - self: 2023-07-07T19:59:25.0076995Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0077243Z - aten_name: 2023-07-07T19:59:25.0077489Z - function_overloads: 2023-07-07T19:59:25.0077729Z - onnx_args: 2023-07-07T19:59:25.0077949Z - onnx_kwargs: 2023-07-07T19:59:25.0078378Z - diagnostic_context: 2023-07-07T19:59:25.0078789Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0079163Z [2023-07-07 19:55:59,304] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0079467Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0079639Z 2023-07-07T19:59:25.0079833Z [2023-07-07 19:55:59,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0080183Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0080408Z 2023-07-07T19:59:25.0080590Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0081049Z - self: 2023-07-07T19:59:25.0081435Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0081694Z - aten_name: 2023-07-07T19:59:25.0081928Z - function_overloads: 2023-07-07T19:59:25.0082171Z - onnx_args: 2023-07-07T19:59:25.0082402Z - onnx_kwargs: 2023-07-07T19:59:25.0082811Z - diagnostic_context: 2023-07-07T19:59:25.0083216Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0083599Z [2023-07-07 19:55:59,419] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0083914Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0084069Z 2023-07-07T19:59:25.0084265Z [2023-07-07 19:55:59,419] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0086122Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0086477Z 2023-07-07T19:59:25.0086933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0087640Z - self: 2023-07-07T19:59:25.0088204Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0088583Z - aten_name: 2023-07-07T19:59:25.0088971Z - function_overloads: 2023-07-07T19:59:25.0089492Z - onnx_args: 2023-07-07T19:59:25.0089832Z - onnx_kwargs: 2023-07-07T19:59:25.0090475Z - diagnostic_context: 2023-07-07T19:59:25.0091120Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0091727Z [2023-07-07 19:55:59,476] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0092215Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0092498Z 2023-07-07T19:59:25.0092833Z [2023-07-07 19:55:59,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0093469Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0093838Z 2023-07-07T19:59:25.0094117Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0094899Z - self: 2023-07-07T19:59:25.0095500Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0095953Z - aten_name: 2023-07-07T19:59:25.0096338Z - function_overloads: 2023-07-07T19:59:25.0096718Z - onnx_args: 2023-07-07T19:59:25.0097088Z - onnx_kwargs: 2023-07-07T19:59:25.0097730Z - diagnostic_context: 2023-07-07T19:59:25.0098398Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0099037Z [2023-07-07 19:55:59,592] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0099554Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0099835Z 2023-07-07T19:59:25.0100157Z [2023-07-07 19:55:59,592] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0100722Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0101069Z 2023-07-07T19:59:25.0101353Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0102274Z - self: 2023-07-07T19:59:25.0103019Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0103402Z - aten_name: 2023-07-07T19:59:25.0103803Z - function_overloads: 2023-07-07T19:59:25.0104191Z - onnx_args: 2023-07-07T19:59:25.0104569Z - onnx_kwargs: 2023-07-07T19:59:25.0105220Z - diagnostic_context: 2023-07-07T19:59:25.0105943Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0106555Z [2023-07-07 19:55:59,651] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0107070Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0107363Z 2023-07-07T19:59:25.0107681Z [2023-07-07 19:55:59,651] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0108230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0108590Z 2023-07-07T19:59:25.0108876Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0109990Z - self: 2023-07-07T19:59:25.0110689Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0111271Z - aten_name: 2023-07-07T19:59:25.0111658Z - function_overloads: 2023-07-07T19:59:25.0112031Z - onnx_args: 2023-07-07T19:59:25.0112408Z - onnx_kwargs: 2023-07-07T19:59:25.0113134Z - diagnostic_context: 2023-07-07T19:59:25.0113999Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0114758Z [2023-07-07 19:55:59,709] torch.onnx: [WARNING] FX Node: call_function:aten.all.dim[name=all_1]. 2023-07-07T19:59:25.0115234Z ONNX Node: aten_all_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0115524Z 2023-07-07T19:59:25.0115881Z [2023-07-07 19:55:59,709] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0116449Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0116835Z 2023-07-07T19:59:25.0117165Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0117970Z - self: 2023-07-07T19:59:25.0118680Z - node: fx.Node(all_1[call_function]'aten.all.dim') 2023-07-07T19:59:25.0119132Z - aten_name: 2023-07-07T19:59:25.0119491Z - function_overloads: 2023-07-07T19:59:25.0119903Z - onnx_args: 2023-07-07T19:59:25.0120344Z - onnx_kwargs: 2023-07-07T19:59:25.0121138Z - diagnostic_context: 2023-07-07T19:59:25.0121914Z - Return value: `OnnxFunction(aten_all_dim)` 2023-07-07T19:59:25.0122307Z PASSED [0.7484s] [ 8%] 2023-07-07T19:59:25.0122944Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_all_cpu_uint8 XFAIL [0.0402s] [ 9%] 2023-07-07T19:59:25.0123671Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_allclose_cpu_float16 XFAIL [0.0171s] [ 9%] 2023-07-07T19:59:25.0124536Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_allclose_cpu_float32 XFAIL [0.0182s] [ 9%] 2023-07-07T19:59:25.0125267Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_bool XFAIL [0.0012s] [ 9%] 2023-07-07T19:59:25.0126370Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float16 [2023-07-07 19:55:59,840] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0127216Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0127524Z 2023-07-07T19:59:25.0127907Z [2023-07-07 19:55:59,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0128576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0129003Z 2023-07-07T19:59:25.0129337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0130052Z - self: 2023-07-07T19:59:25.0130661Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0131056Z - aten_name: 2023-07-07T19:59:25.0131453Z - function_overloads: 2023-07-07T19:59:25.0131830Z - onnx_args: 2023-07-07T19:59:25.0132152Z - onnx_kwargs: 2023-07-07T19:59:25.0132804Z - diagnostic_context: 2023-07-07T19:59:25.0133412Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0134201Z 2023-07-07 19:55:59.842785537 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0135259Z [2023-07-07 19:55:59,879] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0135476Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0135489Z 2023-07-07T19:59:25.0135815Z [2023-07-07 19:55:59,879] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0136122Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0136241Z 2023-07-07T19:59:25.0136489Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0136919Z - self: 2023-07-07T19:59:25.0137193Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0137358Z - aten_name: 2023-07-07T19:59:25.0137573Z - function_overloads: 2023-07-07T19:59:25.0137754Z - onnx_args: 2023-07-07T19:59:25.0137931Z - onnx_kwargs: 2023-07-07T19:59:25.0138454Z - diagnostic_context: 2023-07-07T19:59:25.0138713Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0139390Z 2023-07-07 19:55:59.936709081 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0140069Z 2023-07-07 19:55:59.937264250 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0140731Z 2023-07-07 19:55:59.976545822 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0141391Z 2023-07-07 19:55:59.977108452 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0141863Z [2023-07-07 19:56:00,013] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0142112Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0142125Z 2023-07-07T19:59:25.0142486Z [2023-07-07 19:56:00,013] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0142781Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0142794Z 2023-07-07T19:59:25.0143093Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0143486Z - self: 2023-07-07T19:59:25.0143747Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0143922Z - aten_name: 2023-07-07T19:59:25.0144102Z - function_overloads: 2023-07-07T19:59:25.0144302Z - onnx_args: 2023-07-07T19:59:25.0144480Z - onnx_kwargs: 2023-07-07T19:59:25.0144985Z - diagnostic_context: 2023-07-07T19:59:25.0145258Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0145933Z 2023-07-07 19:56:00.015548854 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0146341Z [2023-07-07 19:56:00,054] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0146544Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0146555Z 2023-07-07T19:59:25.0146861Z [2023-07-07 19:56:00,054] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0147194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0147204Z 2023-07-07T19:59:25.0147635Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0148135Z - self: 2023-07-07T19:59:25.0148449Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0148657Z - aten_name: 2023-07-07T19:59:25.0148898Z - function_overloads: 2023-07-07T19:59:25.0149191Z - onnx_args: 2023-07-07T19:59:25.0149393Z - onnx_kwargs: 2023-07-07T19:59:25.0149884Z - diagnostic_context: 2023-07-07T19:59:25.0150112Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0150754Z 2023-07-07 19:56:00.096331459 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0151370Z 2023-07-07 19:56:00.096789711 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0151936Z 2023-07-07 19:56:00.136372365 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0152568Z 2023-07-07 19:56:00.136821070 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0153010Z [2023-07-07 19:56:00,173] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0153260Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0153274Z 2023-07-07T19:59:25.0153641Z [2023-07-07 19:56:00,173] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0154012Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0154030Z 2023-07-07T19:59:25.0154374Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0154975Z - self: 2023-07-07T19:59:25.0155302Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0155508Z - aten_name: 2023-07-07T19:59:25.0155730Z - function_overloads: 2023-07-07T19:59:25.0155916Z - onnx_args: 2023-07-07T19:59:25.0156102Z - onnx_kwargs: 2023-07-07T19:59:25.0156552Z - diagnostic_context: 2023-07-07T19:59:25.0156767Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0157115Z [2023-07-07 19:56:00,214] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0157299Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0157310Z 2023-07-07T19:59:25.0157613Z [2023-07-07 19:56:00,214] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0157927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0157936Z 2023-07-07T19:59:25.0158235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0158693Z - self: 2023-07-07T19:59:25.0158925Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0159081Z - aten_name: 2023-07-07T19:59:25.0159282Z - function_overloads: 2023-07-07T19:59:25.0159450Z - onnx_args: 2023-07-07T19:59:25.0159640Z - onnx_kwargs: 2023-07-07T19:59:25.0160173Z - diagnostic_context: 2023-07-07T19:59:25.0160566Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0161212Z 2023-07-07 19:56:00.216664132 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0161588Z [2023-07-07 19:56:00,254] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0161872Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0161883Z 2023-07-07T19:59:25.0162214Z [2023-07-07 19:56:00,254] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0162577Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0162586Z 2023-07-07T19:59:25.0162861Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0163256Z - self: 2023-07-07T19:59:25.0163546Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0163742Z - aten_name: 2023-07-07T19:59:25.0163979Z - function_overloads: 2023-07-07T19:59:25.0164162Z - onnx_args: 2023-07-07T19:59:25.0164524Z - onnx_kwargs: 2023-07-07T19:59:25.0165093Z - diagnostic_context: 2023-07-07T19:59:25.0165363Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0166052Z 2023-07-07 19:56:00.296843984 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0166645Z 2023-07-07 19:56:00.297291789 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0167081Z [2023-07-07 19:56:00,335] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0167292Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0167302Z 2023-07-07T19:59:25.0167597Z [2023-07-07 19:56:00,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0167904Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0167920Z 2023-07-07T19:59:25.0168191Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0168598Z - self: 2023-07-07T19:59:25.0168841Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0169015Z - aten_name: 2023-07-07T19:59:25.0169204Z - function_overloads: 2023-07-07T19:59:25.0169384Z - onnx_args: 2023-07-07T19:59:25.0169562Z - onnx_kwargs: 2023-07-07T19:59:25.0170096Z - diagnostic_context: 2023-07-07T19:59:25.0170364Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0170942Z 2023-07-07 19:56:00.537612691 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0171544Z 2023-07-07 19:56:00.538063224 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0171906Z [2023-07-07 19:56:00,592] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0172106Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0172116Z 2023-07-07T19:59:25.0172428Z [2023-07-07 19:56:00,592] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0172929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0172942Z 2023-07-07T19:59:25.0173234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0173667Z - self: 2023-07-07T19:59:25.0173947Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0174233Z - aten_name: 2023-07-07T19:59:25.0174443Z - function_overloads: 2023-07-07T19:59:25.0174615Z - onnx_args: 2023-07-07T19:59:25.0174796Z - onnx_kwargs: 2023-07-07T19:59:25.0175334Z - diagnostic_context: 2023-07-07T19:59:25.0175565Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0176216Z 2023-07-07 19:56:00.652842870 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0176885Z 2023-07-07 19:56:00.653485831 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0177389Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0178278Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float16 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0179170Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float16 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0180101Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float16 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0180516Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float16 PASSED [0.8544s] [ 9%] 2023-07-07T19:59:25.0181378Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float32 [2023-07-07 19:56:00,708] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0181622Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0181634Z 2023-07-07T19:59:25.0181986Z [2023-07-07 19:56:00,708] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0182286Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0182296Z 2023-07-07T19:59:25.0182550Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0183068Z - self: 2023-07-07T19:59:25.0183391Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0183587Z - aten_name: 2023-07-07T19:59:25.0183827Z - function_overloads: 2023-07-07T19:59:25.0184038Z - onnx_args: 2023-07-07T19:59:25.0184262Z - onnx_kwargs: 2023-07-07T19:59:25.0184830Z - diagnostic_context: 2023-07-07T19:59:25.0185065Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0185741Z 2023-07-07 19:56:00.710804416 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0186190Z [2023-07-07 19:56:00,760] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0186545Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0186558Z 2023-07-07T19:59:25.0186924Z [2023-07-07 19:56:00,760] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0187307Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0187317Z 2023-07-07T19:59:25.0187741Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0188253Z - self: 2023-07-07T19:59:25.0188583Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0188774Z - aten_name: 2023-07-07T19:59:25.0189006Z - function_overloads: 2023-07-07T19:59:25.0189201Z - onnx_args: 2023-07-07T19:59:25.0189369Z - onnx_kwargs: 2023-07-07T19:59:25.0189934Z - diagnostic_context: 2023-07-07T19:59:25.0190210Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0190840Z 2023-07-07 19:56:00.816668880 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0191512Z 2023-07-07 19:56:00.817269856 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0192164Z 2023-07-07 19:56:00.867569769 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0192827Z 2023-07-07 19:56:00.868001251 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0193267Z [2023-07-07 19:56:00,903] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0193499Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0193508Z 2023-07-07T19:59:25.0193832Z [2023-07-07 19:56:00,903] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0194217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0194235Z 2023-07-07T19:59:25.0194719Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0195210Z - self: 2023-07-07T19:59:25.0195536Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0195730Z - aten_name: 2023-07-07T19:59:25.0195974Z - function_overloads: 2023-07-07T19:59:25.0196179Z - onnx_args: 2023-07-07T19:59:25.0196386Z - onnx_kwargs: 2023-07-07T19:59:25.0196859Z - diagnostic_context: 2023-07-07T19:59:25.0197079Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0197702Z 2023-07-07 19:56:00.905776924 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0198093Z [2023-07-07 19:56:00,943] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0198328Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0198357Z 2023-07-07T19:59:25.0198702Z [2023-07-07 19:56:00,943] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0199030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0199039Z 2023-07-07T19:59:25.0199316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0199861Z - self: 2023-07-07T19:59:25.0200172Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0200375Z - aten_name: 2023-07-07T19:59:25.0200594Z - function_overloads: 2023-07-07T19:59:25.0200776Z - onnx_args: 2023-07-07T19:59:25.0201075Z - onnx_kwargs: 2023-07-07T19:59:25.0201585Z - diagnostic_context: 2023-07-07T19:59:25.0201838Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0202435Z 2023-07-07 19:56:00.983932701 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0203056Z 2023-07-07 19:56:00.984363182 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0203727Z 2023-07-07 19:56:01.022990150 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0204323Z 2023-07-07 19:56:01.023429216 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0204941Z [2023-07-07 19:56:01,061] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0205198Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0205211Z 2023-07-07T19:59:25.0205567Z [2023-07-07 19:56:01,061] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0205948Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0205958Z 2023-07-07T19:59:25.0206284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0206797Z - self: 2023-07-07T19:59:25.0207132Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0207344Z - aten_name: 2023-07-07T19:59:25.0207591Z - function_overloads: 2023-07-07T19:59:25.0207816Z - onnx_args: 2023-07-07T19:59:25.0208015Z - onnx_kwargs: 2023-07-07T19:59:25.0208604Z - diagnostic_context: 2023-07-07T19:59:25.0208873Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0209339Z [2023-07-07 19:56:01,111] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0209592Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0209602Z 2023-07-07T19:59:25.0209967Z [2023-07-07 19:56:01,111] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0210355Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0210367Z 2023-07-07T19:59:25.0210696Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0211214Z - self: 2023-07-07T19:59:25.0211522Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0211740Z - aten_name: 2023-07-07T19:59:25.0211979Z - function_overloads: 2023-07-07T19:59:25.0212199Z - onnx_args: 2023-07-07T19:59:25.0212420Z - onnx_kwargs: 2023-07-07T19:59:25.0212997Z - diagnostic_context: 2023-07-07T19:59:25.0213269Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0214102Z 2023-07-07 19:56:01.113592184 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0214575Z [2023-07-07 19:56:01,151] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0214829Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0214839Z 2023-07-07T19:59:25.0215337Z [2023-07-07 19:56:01,151] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0215680Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0215691Z 2023-07-07T19:59:25.0215994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0216423Z - self: 2023-07-07T19:59:25.0216739Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0216958Z - aten_name: 2023-07-07T19:59:25.0217142Z - function_overloads: 2023-07-07T19:59:25.0217357Z - onnx_args: 2023-07-07T19:59:25.0217565Z - onnx_kwargs: 2023-07-07T19:59:25.0218108Z - diagnostic_context: 2023-07-07T19:59:25.0218357Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0219070Z 2023-07-07 19:56:01.194821040 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0219740Z 2023-07-07 19:56:01.195275691 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0220181Z [2023-07-07 19:56:01,248] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0220403Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0220418Z 2023-07-07T19:59:25.0220690Z [2023-07-07 19:56:01,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0221018Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0221027Z 2023-07-07T19:59:25.0221356Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0221863Z - self: 2023-07-07T19:59:25.0222193Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0222405Z - aten_name: 2023-07-07T19:59:25.0222649Z - function_overloads: 2023-07-07T19:59:25.0222862Z - onnx_args: 2023-07-07T19:59:25.0223066Z - onnx_kwargs: 2023-07-07T19:59:25.0223636Z - diagnostic_context: 2023-07-07T19:59:25.0223909Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0224566Z 2023-07-07 19:56:01.310915146 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0225180Z 2023-07-07 19:56:01.311556040 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0225601Z [2023-07-07 19:56:01,364] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0225825Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0225835Z 2023-07-07T19:59:25.0226120Z [2023-07-07 19:56:01,364] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0226412Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0226421Z 2023-07-07T19:59:25.0226836Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0227260Z - self: 2023-07-07T19:59:25.0227539Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0227734Z - aten_name: 2023-07-07T19:59:25.0228071Z - function_overloads: 2023-07-07T19:59:25.0228250Z - onnx_args: 2023-07-07T19:59:25.0228420Z - onnx_kwargs: 2023-07-07T19:59:25.0228855Z - diagnostic_context: 2023-07-07T19:59:25.0229043Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0229585Z 2023-07-07 19:56:01.427549677 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0230165Z 2023-07-07 19:56:01.428183472 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0230599Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0231424Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0232261Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0233053Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 9%] 2023-07-07T19:59:25.0233427Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_float32 PASSED [0.7727s] [ 9%] 2023-07-07T19:59:25.0233859Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int16 XFAIL [0.0018s] [ 10%] 2023-07-07T19:59:25.0234695Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int32 [2023-07-07 19:56:01,491] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0234929Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0234941Z 2023-07-07T19:59:25.0235257Z [2023-07-07 19:56:01,491] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0235573Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0235583Z 2023-07-07T19:59:25.0235886Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0236300Z - self: 2023-07-07T19:59:25.0236586Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0236753Z - aten_name: 2023-07-07T19:59:25.0236961Z - function_overloads: 2023-07-07T19:59:25.0237150Z - onnx_args: 2023-07-07T19:59:25.0237338Z - onnx_kwargs: 2023-07-07T19:59:25.0237904Z - diagnostic_context: 2023-07-07T19:59:25.0238121Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0238692Z 2023-07-07 19:56:01.494375366 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0239281Z [2023-07-07 19:56:01,566] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0239544Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0239557Z 2023-07-07T19:59:25.0239878Z [2023-07-07 19:56:01,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0240213Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0240316Z 2023-07-07T19:59:25.0240608Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0241026Z - self: 2023-07-07T19:59:25.0241264Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0241446Z - aten_name: 2023-07-07T19:59:25.0241649Z - function_overloads: 2023-07-07T19:59:25.0241837Z - onnx_args: 2023-07-07T19:59:25.0242032Z - onnx_kwargs: 2023-07-07T19:59:25.0242545Z - diagnostic_context: 2023-07-07T19:59:25.0242774Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0243350Z 2023-07-07 19:56:01.622017343 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0244026Z 2023-07-07 19:56:01.622635284 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0244761Z 2023-07-07 19:56:01.681425913 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0245367Z 2023-07-07 19:56:01.682059785 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0245795Z [2023-07-07 19:56:01,737] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0246011Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0246022Z 2023-07-07T19:59:25.0246366Z [2023-07-07 19:56:01,737] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0246735Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0246755Z 2023-07-07T19:59:25.0247071Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0247503Z - self: 2023-07-07T19:59:25.0247773Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0247968Z - aten_name: 2023-07-07T19:59:25.0248194Z - function_overloads: 2023-07-07T19:59:25.0248381Z - onnx_args: 2023-07-07T19:59:25.0248572Z - onnx_kwargs: 2023-07-07T19:59:25.0249057Z - diagnostic_context: 2023-07-07T19:59:25.0249302Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0249967Z 2023-07-07 19:56:01.741278588 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0250376Z [2023-07-07 19:56:01,797] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0250594Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0250604Z 2023-07-07T19:59:25.0250930Z [2023-07-07 19:56:01,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0251255Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0251267Z 2023-07-07T19:59:25.0251758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0252222Z - self: 2023-07-07T19:59:25.0252512Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0252703Z - aten_name: 2023-07-07T19:59:25.0252903Z - function_overloads: 2023-07-07T19:59:25.0253249Z - onnx_args: 2023-07-07T19:59:25.0253466Z - onnx_kwargs: 2023-07-07T19:59:25.0253949Z - diagnostic_context: 2023-07-07T19:59:25.0254186Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0254800Z 2023-07-07 19:56:01.854762034 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0255438Z 2023-07-07 19:56:01.855379089 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0256112Z 2023-07-07 19:56:01.923424725 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0256708Z 2023-07-07 19:56:01.924051623 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0257132Z [2023-07-07 19:56:01,962] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0257352Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0257365Z 2023-07-07T19:59:25.0257713Z [2023-07-07 19:56:01,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0258071Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0258083Z 2023-07-07T19:59:25.0258411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0258903Z - self: 2023-07-07T19:59:25.0259209Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0259412Z - aten_name: 2023-07-07T19:59:25.0259655Z - function_overloads: 2023-07-07T19:59:25.0259858Z - onnx_args: 2023-07-07T19:59:25.0260049Z - onnx_kwargs: 2023-07-07T19:59:25.0260538Z - diagnostic_context: 2023-07-07T19:59:25.0260773Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0261204Z [2023-07-07 19:56:02,004] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0261428Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0261440Z 2023-07-07T19:59:25.0261778Z [2023-07-07 19:56:02,004] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0262078Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0262087Z 2023-07-07T19:59:25.0262384Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0262889Z - self: 2023-07-07T19:59:25.0263173Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0263359Z - aten_name: 2023-07-07T19:59:25.0263567Z - function_overloads: 2023-07-07T19:59:25.0263754Z - onnx_args: 2023-07-07T19:59:25.0263941Z - onnx_kwargs: 2023-07-07T19:59:25.0264419Z - diagnostic_context: 2023-07-07T19:59:25.0264669Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0265460Z 2023-07-07 19:56:02.006310699 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0265896Z [2023-07-07 19:56:02,044] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0266109Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0266215Z 2023-07-07T19:59:25.0266534Z [2023-07-07 19:56:02,045] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0266893Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0266904Z 2023-07-07T19:59:25.0267249Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0267699Z - self: 2023-07-07T19:59:25.0267998Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0268174Z - aten_name: 2023-07-07T19:59:25.0268400Z - function_overloads: 2023-07-07T19:59:25.0268615Z - onnx_args: 2023-07-07T19:59:25.0268835Z - onnx_kwargs: 2023-07-07T19:59:25.0269359Z - diagnostic_context: 2023-07-07T19:59:25.0269610Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0270201Z 2023-07-07 19:56:02.088469531 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0270832Z 2023-07-07 19:56:02.089065609 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0271250Z [2023-07-07 19:56:02,126] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0271479Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0271491Z 2023-07-07T19:59:25.0271821Z [2023-07-07 19:56:02,126] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0272145Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0272156Z 2023-07-07T19:59:25.0272466Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0272976Z - self: 2023-07-07T19:59:25.0273275Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0273454Z - aten_name: 2023-07-07T19:59:25.0273663Z - function_overloads: 2023-07-07T19:59:25.0273845Z - onnx_args: 2023-07-07T19:59:25.0274031Z - onnx_kwargs: 2023-07-07T19:59:25.0274649Z - diagnostic_context: 2023-07-07T19:59:25.0274899Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0275514Z 2023-07-07 19:56:02.171946027 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0276073Z 2023-07-07 19:56:02.172558697 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0276486Z [2023-07-07 19:56:02,212] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0276731Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0276744Z 2023-07-07T19:59:25.0277093Z [2023-07-07 19:56:02,212] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0277414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0277567Z 2023-07-07T19:59:25.0277881Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0278332Z - self: 2023-07-07T19:59:25.0278655Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0278976Z - aten_name: 2023-07-07T19:59:25.0279196Z - function_overloads: 2023-07-07T19:59:25.0279390Z - onnx_args: 2023-07-07T19:59:25.0279574Z - onnx_kwargs: 2023-07-07T19:59:25.0280049Z - diagnostic_context: 2023-07-07T19:59:25.0280289Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0280932Z 2023-07-07 19:56:02.263937745 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0281563Z 2023-07-07 19:56:02.264547923 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0282026Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0282895Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0283714Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0284795Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0285186Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int32 PASSED [0.8301s] [ 10%] 2023-07-07T19:59:25.0285946Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int64 [2023-07-07 19:56:02,304] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0286177Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0286190Z 2023-07-07T19:59:25.0286512Z [2023-07-07 19:56:02,305] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0286853Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0286864Z 2023-07-07T19:59:25.0287161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0287651Z - self: 2023-07-07T19:59:25.0287932Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0288120Z - aten_name: 2023-07-07T19:59:25.0288315Z - function_overloads: 2023-07-07T19:59:25.0288492Z - onnx_args: 2023-07-07T19:59:25.0288661Z - onnx_kwargs: 2023-07-07T19:59:25.0289241Z - diagnostic_context: 2023-07-07T19:59:25.0289506Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0290170Z 2023-07-07 19:56:02.307240168 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0290616Z [2023-07-07 19:56:02,344] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0290826Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0291021Z 2023-07-07T19:59:25.0291369Z [2023-07-07 19:56:02,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0291701Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0291712Z 2023-07-07T19:59:25.0292022Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0292558Z - self: 2023-07-07T19:59:25.0292865Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0293076Z - aten_name: 2023-07-07T19:59:25.0293317Z - function_overloads: 2023-07-07T19:59:25.0293502Z - onnx_args: 2023-07-07T19:59:25.0293721Z - onnx_kwargs: 2023-07-07T19:59:25.0294307Z - diagnostic_context: 2023-07-07T19:59:25.0294572Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0295134Z 2023-07-07 19:56:02.395731701 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0295649Z 2023-07-07 19:56:02.396600215 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0296176Z 2023-07-07 19:56:02.475483954 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0296721Z 2023-07-07 19:56:02.476072693 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0297088Z [2023-07-07 19:56:02,524] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0297304Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0297316Z 2023-07-07T19:59:25.0297614Z [2023-07-07 19:56:02,524] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0297915Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0297926Z 2023-07-07T19:59:25.0298227Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0298646Z - self: 2023-07-07T19:59:25.0298898Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0299069Z - aten_name: 2023-07-07T19:59:25.0299263Z - function_overloads: 2023-07-07T19:59:25.0299433Z - onnx_args: 2023-07-07T19:59:25.0299608Z - onnx_kwargs: 2023-07-07T19:59:25.0300092Z - diagnostic_context: 2023-07-07T19:59:25.0300329Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0300858Z 2023-07-07 19:56:02.527025764 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0301248Z [2023-07-07 19:56:02,566] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0301445Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0301454Z 2023-07-07T19:59:25.0301764Z [2023-07-07 19:56:02,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0302071Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0302081Z 2023-07-07T19:59:25.0302346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0302888Z - self: 2023-07-07T19:59:25.0303196Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0303388Z - aten_name: 2023-07-07T19:59:25.0303575Z - function_overloads: 2023-07-07T19:59:25.0303745Z - onnx_args: 2023-07-07T19:59:25.0303923Z - onnx_kwargs: 2023-07-07T19:59:25.0304528Z - diagnostic_context: 2023-07-07T19:59:25.0304802Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0305493Z 2023-07-07 19:56:02.610149845 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0306182Z 2023-07-07 19:56:02.610601630 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0306869Z 2023-07-07 19:56:02.654351523 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0307465Z 2023-07-07 19:56:02.655197135 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0307920Z [2023-07-07 19:56:02,703] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0308184Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0308195Z 2023-07-07T19:59:25.0308567Z [2023-07-07 19:56:02,703] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0308939Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0308948Z 2023-07-07T19:59:25.0309215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0309608Z - self: 2023-07-07T19:59:25.0309870Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0310032Z - aten_name: 2023-07-07T19:59:25.0310225Z - function_overloads: 2023-07-07T19:59:25.0310377Z - onnx_args: 2023-07-07T19:59:25.0310550Z - onnx_kwargs: 2023-07-07T19:59:25.0310974Z - diagnostic_context: 2023-07-07T19:59:25.0311195Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0311574Z [2023-07-07 19:56:02,744] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0311784Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0311795Z 2023-07-07T19:59:25.0312128Z [2023-07-07 19:56:02,744] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0312507Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0312518Z 2023-07-07T19:59:25.0312810Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0313209Z - self: 2023-07-07T19:59:25.0313494Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0313680Z - aten_name: 2023-07-07T19:59:25.0313894Z - function_overloads: 2023-07-07T19:59:25.0314091Z - onnx_args: 2023-07-07T19:59:25.0314270Z - onnx_kwargs: 2023-07-07T19:59:25.0314774Z - diagnostic_context: 2023-07-07T19:59:25.0315001Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0315728Z 2023-07-07 19:56:02.746677962 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0316138Z [2023-07-07 19:56:02,785] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0316352Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0316364Z 2023-07-07T19:59:25.0316664Z [2023-07-07 19:56:02,785] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0317073Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0317083Z 2023-07-07T19:59:25.0317334Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0317720Z - self: 2023-07-07T19:59:25.0317989Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0318155Z - aten_name: 2023-07-07T19:59:25.0318363Z - function_overloads: 2023-07-07T19:59:25.0318535Z - onnx_args: 2023-07-07T19:59:25.0318711Z - onnx_kwargs: 2023-07-07T19:59:25.0319174Z - diagnostic_context: 2023-07-07T19:59:25.0319393Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0319944Z 2023-07-07 19:56:02.830202366 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0320320Z 2023-07-07 19:56:02.830798002 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0320572Z [2023-07-07 19:56:02,869] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0320709Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0320717Z 2023-07-07T19:59:25.0320918Z [2023-07-07 19:56:02,869] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0321124Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0321131Z 2023-07-07T19:59:25.0321315Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0321591Z - self: 2023-07-07T19:59:25.0321768Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0321884Z - aten_name: 2023-07-07T19:59:25.0322004Z - function_overloads: 2023-07-07T19:59:25.0322119Z - onnx_args: 2023-07-07T19:59:25.0322236Z - onnx_kwargs: 2023-07-07T19:59:25.0322540Z - diagnostic_context: 2023-07-07T19:59:25.0322686Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0323055Z 2023-07-07 19:56:02.930832011 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0323418Z 2023-07-07 19:56:02.931457951 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0323672Z [2023-07-07 19:56:02,981] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0323810Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0323816Z 2023-07-07T19:59:25.0324000Z [2023-07-07 19:56:02,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0324205Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0324211Z 2023-07-07T19:59:25.0324689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0325045Z - self: 2023-07-07T19:59:25.0325224Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0325339Z - aten_name: 2023-07-07T19:59:25.0325472Z - function_overloads: 2023-07-07T19:59:25.0325668Z - onnx_args: 2023-07-07T19:59:25.0325773Z - onnx_kwargs: 2023-07-07T19:59:25.0326083Z - diagnostic_context: 2023-07-07T19:59:25.0326228Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0326596Z 2023-07-07 19:56:03.026683609 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0326956Z 2023-07-07 19:56:03.027290286 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0327237Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0327739Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int64 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0328231Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int64 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0328706Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int64 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0328946Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int64 PASSED [0.7616s] [ 10%] 2023-07-07T19:59:25.0329402Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int8 [2023-07-07 19:56:03,080] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0329524Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0329549Z 2023-07-07T19:59:25.0329738Z [2023-07-07 19:56:03,080] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0329941Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0329948Z 2023-07-07T19:59:25.0330132Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0330403Z - self: 2023-07-07T19:59:25.0330581Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0330696Z - aten_name: 2023-07-07T19:59:25.0330829Z - function_overloads: 2023-07-07T19:59:25.0330931Z - onnx_args: 2023-07-07T19:59:25.0331047Z - onnx_kwargs: 2023-07-07T19:59:25.0331352Z - diagnostic_context: 2023-07-07T19:59:25.0331503Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0331868Z 2023-07-07 19:56:03.084219964 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0332116Z [2023-07-07 19:56:03,169] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0332253Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0332259Z 2023-07-07T19:59:25.0332518Z [2023-07-07 19:56:03,169] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0332850Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0332856Z 2023-07-07T19:59:25.0333028Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0333299Z - self: 2023-07-07T19:59:25.0333531Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0333646Z - aten_name: 2023-07-07T19:59:25.0333777Z - function_overloads: 2023-07-07T19:59:25.0333894Z - onnx_args: 2023-07-07T19:59:25.0334013Z - onnx_kwargs: 2023-07-07T19:59:25.0334319Z - diagnostic_context: 2023-07-07T19:59:25.0334453Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0334816Z 2023-07-07 19:56:03.232051749 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0335174Z 2023-07-07 19:56:03.232672788 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0335524Z 2023-07-07 19:56:03.273965114 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0335876Z 2023-07-07 19:56:03.274552941 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0336124Z [2023-07-07 19:56:03,312] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0336260Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0336266Z 2023-07-07T19:59:25.0336470Z [2023-07-07 19:56:03,312] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0336673Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0336679Z 2023-07-07T19:59:25.0336864Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0337126Z - self: 2023-07-07T19:59:25.0337302Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0337606Z - aten_name: 2023-07-07T19:59:25.0337738Z - function_overloads: 2023-07-07T19:59:25.0337856Z - onnx_args: 2023-07-07T19:59:25.0337974Z - onnx_kwargs: 2023-07-07T19:59:25.0338281Z - diagnostic_context: 2023-07-07T19:59:25.0338415Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0338782Z 2023-07-07 19:56:03.314701924 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0339031Z [2023-07-07 19:56:03,354] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0339166Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0339176Z 2023-07-07T19:59:25.0339374Z [2023-07-07 19:56:03,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0339579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0339585Z 2023-07-07T19:59:25.0339769Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0340039Z - self: 2023-07-07T19:59:25.0340215Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0340397Z - aten_name: 2023-07-07T19:59:25.0340535Z - function_overloads: 2023-07-07T19:59:25.0340649Z - onnx_args: 2023-07-07T19:59:25.0340766Z - onnx_kwargs: 2023-07-07T19:59:25.0341072Z - diagnostic_context: 2023-07-07T19:59:25.0341274Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0341634Z 2023-07-07 19:56:03.396256804 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0341993Z 2023-07-07 19:56:03.396878586 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0342352Z 2023-07-07 19:56:03.436332460 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0342695Z 2023-07-07 19:56:03.436935021 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0342939Z [2023-07-07 19:56:03,483] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0343078Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0343084Z 2023-07-07T19:59:25.0343280Z [2023-07-07 19:56:03,483] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0343482Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0343489Z 2023-07-07T19:59:25.0343671Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0343939Z - self: 2023-07-07T19:59:25.0344116Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0344229Z - aten_name: 2023-07-07T19:59:25.0344348Z - function_overloads: 2023-07-07T19:59:25.0344462Z - onnx_args: 2023-07-07T19:59:25.0344578Z - onnx_kwargs: 2023-07-07T19:59:25.0344882Z - diagnostic_context: 2023-07-07T19:59:25.0345031Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0345279Z [2023-07-07 19:56:03,558] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0345412Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0345418Z 2023-07-07T19:59:25.0345613Z [2023-07-07 19:56:03,559] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0345803Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0345820Z 2023-07-07T19:59:25.0345994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0346263Z - self: 2023-07-07T19:59:25.0346435Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0346548Z - aten_name: 2023-07-07T19:59:25.0346683Z - function_overloads: 2023-07-07T19:59:25.0346798Z - onnx_args: 2023-07-07T19:59:25.0346913Z - onnx_kwargs: 2023-07-07T19:59:25.0347205Z - diagnostic_context: 2023-07-07T19:59:25.0347349Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0347712Z 2023-07-07 19:56:03.561524440 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0348015Z [2023-07-07 19:56:03,626] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0348152Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0348158Z 2023-07-07T19:59:25.0348356Z [2023-07-07 19:56:03,626] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0348558Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0348631Z 2023-07-07T19:59:25.0348813Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0349081Z - self: 2023-07-07T19:59:25.0349244Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0349357Z - aten_name: 2023-07-07T19:59:25.0349488Z - function_overloads: 2023-07-07T19:59:25.0349603Z - onnx_args: 2023-07-07T19:59:25.0349724Z - onnx_kwargs: 2023-07-07T19:59:25.0350030Z - diagnostic_context: 2023-07-07T19:59:25.0350174Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0350531Z 2023-07-07 19:56:03.697718802 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0350902Z 2023-07-07 19:56:03.698325706 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0351148Z [2023-07-07 19:56:03,759] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0351281Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0351287Z 2023-07-07T19:59:25.0351483Z [2023-07-07 19:56:03,759] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0351688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0351694Z 2023-07-07T19:59:25.0351876Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0352141Z - self: 2023-07-07T19:59:25.0352319Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0352432Z - aten_name: 2023-07-07T19:59:25.0352551Z - function_overloads: 2023-07-07T19:59:25.0352667Z - onnx_args: 2023-07-07T19:59:25.0352787Z - onnx_kwargs: 2023-07-07T19:59:25.0353092Z - diagnostic_context: 2023-07-07T19:59:25.0353237Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0353603Z 2023-07-07 19:56:03.834236672 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0353966Z 2023-07-07 19:56:03.834944082 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0354211Z [2023-07-07 19:56:03,893] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0354336Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0354343Z 2023-07-07T19:59:25.0354635Z [2023-07-07 19:56:03,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0354839Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0354845Z 2023-07-07T19:59:25.0355028Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0355363Z - self: 2023-07-07T19:59:25.0355541Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0355655Z - aten_name: 2023-07-07T19:59:25.0355786Z - function_overloads: 2023-07-07T19:59:25.0355889Z - onnx_args: 2023-07-07T19:59:25.0356005Z - onnx_kwargs: 2023-07-07T19:59:25.0356369Z - diagnostic_context: 2023-07-07T19:59:25.0356514Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0356877Z 2023-07-07 19:56:03.958709557 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0357235Z 2023-07-07 19:56:03.959157828 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0357519Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0358013Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0358506Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0358980Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0359216Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_int8 PASSED [0.9302s] [ 10%] 2023-07-07T19:59:25.0359664Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_uint8 [2023-07-07 19:56:03,999] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0359799Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0359806Z 2023-07-07T19:59:25.0360004Z [2023-07-07 19:56:03,999] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0360209Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0360215Z 2023-07-07T19:59:25.0360399Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0360668Z - self: 2023-07-07T19:59:25.0360843Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0360957Z - aten_name: 2023-07-07T19:59:25.0361092Z - function_overloads: 2023-07-07T19:59:25.0361196Z - onnx_args: 2023-07-07T19:59:25.0361312Z - onnx_kwargs: 2023-07-07T19:59:25.0361617Z - diagnostic_context: 2023-07-07T19:59:25.0361763Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0362123Z 2023-07-07 19:56:04.004137536 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0362368Z [2023-07-07 19:56:04,042] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0362504Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0362510Z 2023-07-07T19:59:25.0362705Z [2023-07-07 19:56:04,042] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0362953Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0362972Z 2023-07-07T19:59:25.0363146Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0363414Z - self: 2023-07-07T19:59:25.0363588Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0363761Z - aten_name: 2023-07-07T19:59:25.0363893Z - function_overloads: 2023-07-07T19:59:25.0364010Z - onnx_args: 2023-07-07T19:59:25.0364125Z - onnx_kwargs: 2023-07-07T19:59:25.0364561Z - diagnostic_context: 2023-07-07T19:59:25.0364718Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0365081Z 2023-07-07 19:56:04.096395998 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0365441Z 2023-07-07 19:56:04.100976986 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0365793Z 2023-07-07 19:56:04.141185096 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0366143Z 2023-07-07 19:56:04.141763009 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0366390Z [2023-07-07 19:56:04,177] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0366526Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0366532Z 2023-07-07T19:59:25.0366730Z [2023-07-07 19:56:04,177] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0366940Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0366946Z 2023-07-07T19:59:25.0367115Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0367383Z - self: 2023-07-07T19:59:25.0367563Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0367677Z - aten_name: 2023-07-07T19:59:25.0367807Z - function_overloads: 2023-07-07T19:59:25.0367923Z - onnx_args: 2023-07-07T19:59:25.0368039Z - onnx_kwargs: 2023-07-07T19:59:25.0368343Z - diagnostic_context: 2023-07-07T19:59:25.0368476Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0368837Z 2023-07-07 19:56:04.180281635 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0369082Z [2023-07-07 19:56:04,218] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0369214Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0369220Z 2023-07-07T19:59:25.0369415Z [2023-07-07 19:56:04,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0369620Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0369627Z 2023-07-07T19:59:25.0369808Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0370073Z - self: 2023-07-07T19:59:25.0370247Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0370347Z - aten_name: 2023-07-07T19:59:25.0370566Z - function_overloads: 2023-07-07T19:59:25.0370686Z - onnx_args: 2023-07-07T19:59:25.0370802Z - onnx_kwargs: 2023-07-07T19:59:25.0371107Z - diagnostic_context: 2023-07-07T19:59:25.0371252Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0371615Z 2023-07-07 19:56:04.279540679 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0372044Z 2023-07-07 19:56:04.279987376 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0372383Z 2023-07-07 19:56:04.331780798 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0372739Z 2023-07-07 19:56:04.332462131 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0372985Z [2023-07-07 19:56:04,383] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0373117Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0373124Z 2023-07-07T19:59:25.0373326Z [2023-07-07 19:56:04,383] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0373526Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0373532Z 2023-07-07T19:59:25.0373716Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0373985Z - self: 2023-07-07T19:59:25.0374158Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0374270Z - aten_name: 2023-07-07T19:59:25.0374394Z - function_overloads: 2023-07-07T19:59:25.0374511Z - onnx_args: 2023-07-07T19:59:25.0374628Z - onnx_kwargs: 2023-07-07T19:59:25.0374932Z - diagnostic_context: 2023-07-07T19:59:25.0375076Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0375327Z [2023-07-07 19:56:04,455] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0375461Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0375468Z 2023-07-07T19:59:25.0375654Z [2023-07-07 19:56:04,455] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0375856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0375862Z 2023-07-07T19:59:25.0376047Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0376315Z - self: 2023-07-07T19:59:25.0376488Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0376600Z - aten_name: 2023-07-07T19:59:25.0376730Z - function_overloads: 2023-07-07T19:59:25.0376845Z - onnx_args: 2023-07-07T19:59:25.0376953Z - onnx_kwargs: 2023-07-07T19:59:25.0377259Z - diagnostic_context: 2023-07-07T19:59:25.0377403Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0377763Z 2023-07-07 19:56:04.458331856 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0378008Z [2023-07-07 19:56:04,699] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0378242Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0378249Z 2023-07-07T19:59:25.0378447Z [2023-07-07 19:56:04,699] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0378652Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0378658Z 2023-07-07T19:59:25.0378893Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0379146Z - self: 2023-07-07T19:59:25.0379321Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0379434Z - aten_name: 2023-07-07T19:59:25.0379563Z - function_overloads: 2023-07-07T19:59:25.0379678Z - onnx_args: 2023-07-07T19:59:25.0379796Z - onnx_kwargs: 2023-07-07T19:59:25.0380105Z - diagnostic_context: 2023-07-07T19:59:25.0380250Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0380609Z 2023-07-07 19:56:04.741614530 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0380973Z 2023-07-07 19:56:04.742080086 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0381223Z [2023-07-07 19:56:04,780] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0381357Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0381363Z 2023-07-07T19:59:25.0381558Z [2023-07-07 19:56:04,780] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0381758Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0381768Z 2023-07-07T19:59:25.0381950Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0382221Z - self: 2023-07-07T19:59:25.0382393Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0382497Z - aten_name: 2023-07-07T19:59:25.0382628Z - function_overloads: 2023-07-07T19:59:25.0382744Z - onnx_args: 2023-07-07T19:59:25.0382861Z - onnx_kwargs: 2023-07-07T19:59:25.0383167Z - diagnostic_context: 2023-07-07T19:59:25.0383313Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0383672Z 2023-07-07 19:56:04.823629334 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0384038Z 2023-07-07 19:56:04.824092642 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0384271Z [2023-07-07 19:56:04,862] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T19:59:25.0384406Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0384416Z 2023-07-07T19:59:25.0384615Z [2023-07-07 19:56:04,862] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0384817Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0384823Z 2023-07-07T19:59:25.0385007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0385275Z - self: 2023-07-07T19:59:25.0385502Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T19:59:25.0385618Z - aten_name: 2023-07-07T19:59:25.0385749Z - function_overloads: 2023-07-07T19:59:25.0385852Z - onnx_args: 2023-07-07T19:59:25.0385968Z - onnx_kwargs: 2023-07-07T19:59:25.0386272Z - diagnostic_context: 2023-07-07T19:59:25.0386482Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T19:59:25.0386849Z 2023-07-07 19:56:04.906424645 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0387205Z 2023-07-07 19:56:04.906878035 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amax' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0387484Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0387980Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_uint8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0388467Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_uint8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0388951Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_uint8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 10%] 2023-07-07T19:59:25.0389177Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amax_cpu_uint8 PASSED [0.9463s] [ 10%] 2023-07-07T19:59:25.0389412Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_bool XFAIL [0.0013s] [ 10%] 2023-07-07T19:59:25.0389869Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float16 [2023-07-07 19:56:04,951] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0390003Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0390014Z 2023-07-07T19:59:25.0390211Z [2023-07-07 19:56:04,951] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0390412Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0390418Z 2023-07-07T19:59:25.0390601Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0390873Z - self: 2023-07-07T19:59:25.0391049Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0391167Z - aten_name: 2023-07-07T19:59:25.0391286Z - function_overloads: 2023-07-07T19:59:25.0391402Z - onnx_args: 2023-07-07T19:59:25.0391521Z - onnx_kwargs: 2023-07-07T19:59:25.0391828Z - diagnostic_context: 2023-07-07T19:59:25.0391976Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0392339Z 2023-07-07 19:56:04.953395566 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0392585Z [2023-07-07 19:56:04,991] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0392720Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0392727Z 2023-07-07T19:59:25.0392911Z [2023-07-07 19:56:04,991] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0393180Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0393187Z 2023-07-07T19:59:25.0393373Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0393640Z - self: 2023-07-07T19:59:25.0393868Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0393982Z - aten_name: 2023-07-07T19:59:25.0394113Z - function_overloads: 2023-07-07T19:59:25.0394228Z - onnx_args: 2023-07-07T19:59:25.0394332Z - onnx_kwargs: 2023-07-07T19:59:25.0394701Z - diagnostic_context: 2023-07-07T19:59:25.0394855Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0395215Z 2023-07-07 19:56:05.034625207 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0395571Z 2023-07-07 19:56:05.035178483 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0395918Z 2023-07-07 19:56:05.079162681 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0396272Z 2023-07-07 19:56:05.079731234 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0396519Z [2023-07-07 19:56:05,137] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0396654Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0396660Z 2023-07-07T19:59:25.0396857Z [2023-07-07 19:56:05,137] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0397053Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0397058Z 2023-07-07T19:59:25.0397241Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0397509Z - self: 2023-07-07T19:59:25.0397688Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0397803Z - aten_name: 2023-07-07T19:59:25.0397937Z - function_overloads: 2023-07-07T19:59:25.0398052Z - onnx_args: 2023-07-07T19:59:25.0398155Z - onnx_kwargs: 2023-07-07T19:59:25.0398459Z - diagnostic_context: 2023-07-07T19:59:25.0398604Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0398964Z 2023-07-07 19:56:05.140790331 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0399211Z [2023-07-07 19:56:05,193] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0399345Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0399351Z 2023-07-07T19:59:25.0399547Z [2023-07-07 19:56:05,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0399754Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0399761Z 2023-07-07T19:59:25.0399943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0400209Z - self: 2023-07-07T19:59:25.0400370Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0400483Z - aten_name: 2023-07-07T19:59:25.0400683Z - function_overloads: 2023-07-07T19:59:25.0400800Z - onnx_args: 2023-07-07T19:59:25.0400918Z - onnx_kwargs: 2023-07-07T19:59:25.0401223Z - diagnostic_context: 2023-07-07T19:59:25.0401404Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0401812Z 2023-07-07 19:56:05.260609595 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0402170Z 2023-07-07 19:56:05.261260957 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0402523Z 2023-07-07 19:56:05.329189635 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0402878Z 2023-07-07 19:56:05.329833818 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0403124Z [2023-07-07 19:56:05,390] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0403259Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0403269Z 2023-07-07T19:59:25.0403465Z [2023-07-07 19:56:05,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0403667Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0403673Z 2023-07-07T19:59:25.0403855Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0404119Z - self: 2023-07-07T19:59:25.0404281Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0404568Z - aten_name: 2023-07-07T19:59:25.0404714Z - function_overloads: 2023-07-07T19:59:25.0404830Z - onnx_args: 2023-07-07T19:59:25.0404946Z - onnx_kwargs: 2023-07-07T19:59:25.0405255Z - diagnostic_context: 2023-07-07T19:59:25.0405407Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0405655Z [2023-07-07 19:56:05,459] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0405777Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0405785Z 2023-07-07T19:59:25.0405980Z [2023-07-07 19:56:05,459] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0406182Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0406187Z 2023-07-07T19:59:25.0406377Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0406643Z - self: 2023-07-07T19:59:25.0406818Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0406932Z - aten_name: 2023-07-07T19:59:25.0407064Z - function_overloads: 2023-07-07T19:59:25.0407174Z - onnx_args: 2023-07-07T19:59:25.0407289Z - onnx_kwargs: 2023-07-07T19:59:25.0407592Z - diagnostic_context: 2023-07-07T19:59:25.0407736Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0408098Z 2023-07-07 19:56:05.462524972 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0408445Z [2023-07-07 19:56:05,518] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0408587Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0408593Z 2023-07-07T19:59:25.0408793Z [2023-07-07 19:56:05,518] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0408994Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0409070Z 2023-07-07T19:59:25.0409240Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0409508Z - self: 2023-07-07T19:59:25.0409683Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0409794Z - aten_name: 2023-07-07T19:59:25.0409925Z - function_overloads: 2023-07-07T19:59:25.0410040Z - onnx_args: 2023-07-07T19:59:25.0410156Z - onnx_kwargs: 2023-07-07T19:59:25.0410454Z - diagnostic_context: 2023-07-07T19:59:25.0410600Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0410968Z 2023-07-07 19:56:05.589553018 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0411338Z 2023-07-07 19:56:05.590460118 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0411583Z [2023-07-07 19:56:05,649] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0411716Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0411722Z 2023-07-07T19:59:25.0411915Z [2023-07-07 19:56:05,649] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0412120Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0412126Z 2023-07-07T19:59:25.0412310Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0412577Z - self: 2023-07-07T19:59:25.0412738Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0412856Z - aten_name: 2023-07-07T19:59:25.0412988Z - function_overloads: 2023-07-07T19:59:25.0413103Z - onnx_args: 2023-07-07T19:59:25.0413219Z - onnx_kwargs: 2023-07-07T19:59:25.0413522Z - diagnostic_context: 2023-07-07T19:59:25.0413666Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0414017Z 2023-07-07 19:56:05.719103209 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0414378Z 2023-07-07 19:56:05.719772143 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0414626Z [2023-07-07 19:56:05,783] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0414763Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0414769Z 2023-07-07T19:59:25.0414966Z [2023-07-07 19:56:05,783] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0415169Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0415175Z 2023-07-07T19:59:25.0415357Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0415626Z - self: 2023-07-07T19:59:25.0415864Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0415977Z - aten_name: 2023-07-07T19:59:25.0416097Z - function_overloads: 2023-07-07T19:59:25.0416212Z - onnx_args: 2023-07-07T19:59:25.0416328Z - onnx_kwargs: 2023-07-07T19:59:25.0416637Z - diagnostic_context: 2023-07-07T19:59:25.0416838Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0417205Z 2023-07-07 19:56:05.855046877 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0417563Z 2023-07-07 19:56:05.855726468 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0417847Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0418332Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float16 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0418827Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float16 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0419318Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float16 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0419555Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float16 PASSED [0.9457s] [ 11%] 2023-07-07T19:59:25.0420018Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float32 [2023-07-07 19:56:05,919] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0420153Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0420160Z 2023-07-07T19:59:25.0420358Z [2023-07-07 19:56:05,919] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0420565Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0420571Z 2023-07-07T19:59:25.0420754Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0421021Z - self: 2023-07-07T19:59:25.0421196Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0421296Z - aten_name: 2023-07-07T19:59:25.0421425Z - function_overloads: 2023-07-07T19:59:25.0421544Z - onnx_args: 2023-07-07T19:59:25.0421660Z - onnx_kwargs: 2023-07-07T19:59:25.0421964Z - diagnostic_context: 2023-07-07T19:59:25.0422108Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0422463Z 2023-07-07 19:56:05.922631198 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0422713Z [2023-07-07 19:56:05,977] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0422833Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0422852Z 2023-07-07T19:59:25.0423033Z [2023-07-07 19:56:05,977] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0423234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0423303Z 2023-07-07T19:59:25.0423487Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0423754Z - self: 2023-07-07T19:59:25.0423927Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0424040Z - aten_name: 2023-07-07T19:59:25.0424227Z - function_overloads: 2023-07-07T19:59:25.0424331Z - onnx_args: 2023-07-07T19:59:25.0424447Z - onnx_kwargs: 2023-07-07T19:59:25.0424750Z - diagnostic_context: 2023-07-07T19:59:25.0424894Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0425249Z 2023-07-07 19:56:06.041678692 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0425606Z 2023-07-07 19:56:06.042275267 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0425958Z 2023-07-07 19:56:06.088082702 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0426307Z 2023-07-07 19:56:06.088709797 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0426553Z [2023-07-07 19:56:06,139] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0426688Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0426694Z 2023-07-07T19:59:25.0426878Z [2023-07-07 19:56:06,139] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0427086Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0427091Z 2023-07-07T19:59:25.0427273Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0427538Z - self: 2023-07-07T19:59:25.0427710Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0427826Z - aten_name: 2023-07-07T19:59:25.0427956Z - function_overloads: 2023-07-07T19:59:25.0428071Z - onnx_args: 2023-07-07T19:59:25.0428175Z - onnx_kwargs: 2023-07-07T19:59:25.0428476Z - diagnostic_context: 2023-07-07T19:59:25.0428621Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0428974Z 2023-07-07 19:56:06.142249832 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0429223Z [2023-07-07 19:56:06,192] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0429358Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0429364Z 2023-07-07T19:59:25.0429557Z [2023-07-07 19:56:06,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0429766Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0429772Z 2023-07-07T19:59:25.0429955Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0430208Z - self: 2023-07-07T19:59:25.0430382Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0430495Z - aten_name: 2023-07-07T19:59:25.0430624Z - function_overloads: 2023-07-07T19:59:25.0430814Z - onnx_args: 2023-07-07T19:59:25.0430930Z - onnx_kwargs: 2023-07-07T19:59:25.0431232Z - diagnostic_context: 2023-07-07T19:59:25.0431364Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0431725Z 2023-07-07 19:56:06.251335085 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0432194Z 2023-07-07 19:56:06.251947445 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0432548Z 2023-07-07 19:56:06.292695527 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0432904Z 2023-07-07 19:56:06.293266332 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0433149Z [2023-07-07 19:56:06,332] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0433284Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0433291Z 2023-07-07T19:59:25.0433488Z [2023-07-07 19:56:06,332] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0433696Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0433702Z 2023-07-07T19:59:25.0433888Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0434156Z - self: 2023-07-07T19:59:25.0434318Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0434434Z - aten_name: 2023-07-07T19:59:25.0434638Z - function_overloads: 2023-07-07T19:59:25.0434756Z - onnx_args: 2023-07-07T19:59:25.0434873Z - onnx_kwargs: 2023-07-07T19:59:25.0435175Z - diagnostic_context: 2023-07-07T19:59:25.0435321Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0435555Z [2023-07-07 19:56:06,373] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0435693Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0435698Z 2023-07-07T19:59:25.0435894Z [2023-07-07 19:56:06,374] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0436098Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0436105Z 2023-07-07T19:59:25.0436287Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0436555Z - self: 2023-07-07T19:59:25.0436730Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0436842Z - aten_name: 2023-07-07T19:59:25.0436973Z - function_overloads: 2023-07-07T19:59:25.0437077Z - onnx_args: 2023-07-07T19:59:25.0437194Z - onnx_kwargs: 2023-07-07T19:59:25.0437502Z - diagnostic_context: 2023-07-07T19:59:25.0437648Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0438012Z 2023-07-07 19:56:06.376135701 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0438257Z [2023-07-07 19:56:06,417] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0438391Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0438469Z 2023-07-07T19:59:25.0438667Z [2023-07-07 19:56:06,417] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0438854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0438874Z 2023-07-07T19:59:25.0439043Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0439360Z - self: 2023-07-07T19:59:25.0439534Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0439646Z - aten_name: 2023-07-07T19:59:25.0439776Z - function_overloads: 2023-07-07T19:59:25.0439890Z - onnx_args: 2023-07-07T19:59:25.0440006Z - onnx_kwargs: 2023-07-07T19:59:25.0440297Z - diagnostic_context: 2023-07-07T19:59:25.0440444Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0440813Z 2023-07-07 19:56:06.461574407 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0441179Z 2023-07-07 19:56:06.462151556 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0441427Z [2023-07-07 19:56:06,500] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0441561Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0441567Z 2023-07-07T19:59:25.0441764Z [2023-07-07 19:56:06,501] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0441965Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0441971Z 2023-07-07T19:59:25.0442155Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0442409Z - self: 2023-07-07T19:59:25.0442582Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0442694Z - aten_name: 2023-07-07T19:59:25.0442825Z - function_overloads: 2023-07-07T19:59:25.0442946Z - onnx_args: 2023-07-07T19:59:25.0443062Z - onnx_kwargs: 2023-07-07T19:59:25.0443365Z - diagnostic_context: 2023-07-07T19:59:25.0443512Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0443862Z 2023-07-07 19:56:06.545565021 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0444226Z 2023-07-07 19:56:06.546131147 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0444915Z [2023-07-07 19:56:06,599] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0445151Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0445158Z 2023-07-07T19:59:25.0445506Z [2023-07-07 19:56:06,599] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0445822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0445831Z 2023-07-07T19:59:25.0446098Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0446374Z - self: 2023-07-07T19:59:25.0446549Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0446822Z - aten_name: 2023-07-07T19:59:25.0446959Z - function_overloads: 2023-07-07T19:59:25.0447076Z - onnx_args: 2023-07-07T19:59:25.0447193Z - onnx_kwargs: 2023-07-07T19:59:25.0447497Z - diagnostic_context: 2023-07-07T19:59:25.0447644Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0448086Z 2023-07-07 19:56:06.643038274 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0448447Z 2023-07-07 19:56:06.643498170 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0448715Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0449226Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0449716Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0450211Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0450447Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_float32 PASSED [0.7844s] [ 11%] 2023-07-07T19:59:25.0450678Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int16 XFAIL [0.0013s] [ 11%] 2023-07-07T19:59:25.0451136Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int32 [2023-07-07 19:56:06,686] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0451271Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0451278Z 2023-07-07T19:59:25.0451479Z [2023-07-07 19:56:06,687] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0451686Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0451693Z 2023-07-07T19:59:25.0451874Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0452143Z - self: 2023-07-07T19:59:25.0452306Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0452420Z - aten_name: 2023-07-07T19:59:25.0452556Z - function_overloads: 2023-07-07T19:59:25.0452671Z - onnx_args: 2023-07-07T19:59:25.0452789Z - onnx_kwargs: 2023-07-07T19:59:25.0453090Z - diagnostic_context: 2023-07-07T19:59:25.0453236Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0453585Z 2023-07-07 19:56:06.689485633 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0453833Z [2023-07-07 19:56:06,729] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0453968Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0453974Z 2023-07-07T19:59:25.0454171Z [2023-07-07 19:56:06,729] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0454429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0454436Z 2023-07-07T19:59:25.0454622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0454890Z - self: 2023-07-07T19:59:25.0455065Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0455233Z - aten_name: 2023-07-07T19:59:25.0455351Z - function_overloads: 2023-07-07T19:59:25.0455467Z - onnx_args: 2023-07-07T19:59:25.0455584Z - onnx_kwargs: 2023-07-07T19:59:25.0455888Z - diagnostic_context: 2023-07-07T19:59:25.0456032Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0456388Z 2023-07-07 19:56:06.771680018 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0456747Z 2023-07-07 19:56:06.772249605 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0457093Z 2023-07-07 19:56:06.810096403 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0457448Z 2023-07-07 19:56:06.810549271 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0457681Z [2023-07-07 19:56:06,845] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0457817Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0457822Z 2023-07-07T19:59:25.0458019Z [2023-07-07 19:56:06,846] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0458228Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0458234Z 2023-07-07T19:59:25.0458416Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0458685Z - self: 2023-07-07T19:59:25.0458865Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0458980Z - aten_name: 2023-07-07T19:59:25.0459110Z - function_overloads: 2023-07-07T19:59:25.0459213Z - onnx_args: 2023-07-07T19:59:25.0459329Z - onnx_kwargs: 2023-07-07T19:59:25.0459634Z - diagnostic_context: 2023-07-07T19:59:25.0459778Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0460140Z 2023-07-07 19:56:06.848253542 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0460385Z [2023-07-07 19:56:06,887] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0460519Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0460525Z 2023-07-07T19:59:25.0460723Z [2023-07-07 19:56:06,887] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0460916Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0460935Z 2023-07-07T19:59:25.0461106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0461373Z - self: 2023-07-07T19:59:25.0461547Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0461665Z - aten_name: 2023-07-07T19:59:25.0461796Z - function_overloads: 2023-07-07T19:59:25.0461976Z - onnx_args: 2023-07-07T19:59:25.0462095Z - onnx_kwargs: 2023-07-07T19:59:25.0462387Z - diagnostic_context: 2023-07-07T19:59:25.0462531Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0462889Z 2023-07-07 19:56:06.952678254 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0463328Z 2023-07-07 19:56:06.953272043 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0463680Z 2023-07-07 19:56:06.996119364 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0464038Z 2023-07-07 19:56:06.996734104 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0464283Z [2023-07-07 19:56:07,038] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0464418Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0464424Z 2023-07-07T19:59:25.0464625Z [2023-07-07 19:56:07,038] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0464825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0464831Z 2023-07-07T19:59:25.0464999Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0465268Z - self: 2023-07-07T19:59:25.0465441Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0465554Z - aten_name: 2023-07-07T19:59:25.0465692Z - function_overloads: 2023-07-07T19:59:25.0465809Z - onnx_args: 2023-07-07T19:59:25.0465925Z - onnx_kwargs: 2023-07-07T19:59:25.0466231Z - diagnostic_context: 2023-07-07T19:59:25.0466364Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0466615Z [2023-07-07 19:56:07,092] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0466748Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0466754Z 2023-07-07T19:59:25.0466949Z [2023-07-07 19:56:07,092] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0467151Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0467157Z 2023-07-07T19:59:25.0467339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0467612Z - self: 2023-07-07T19:59:25.0467785Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0467885Z - aten_name: 2023-07-07T19:59:25.0468015Z - function_overloads: 2023-07-07T19:59:25.0468129Z - onnx_args: 2023-07-07T19:59:25.0468249Z - onnx_kwargs: 2023-07-07T19:59:25.0468552Z - diagnostic_context: 2023-07-07T19:59:25.0468697Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0469054Z 2023-07-07 19:56:07.094715778 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0469301Z [2023-07-07 19:56:07,141] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0469490Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0469510Z 2023-07-07T19:59:25.0469694Z [2023-07-07 19:56:07,141] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0469897Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0469902Z 2023-07-07T19:59:25.0470133Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0470401Z - self: 2023-07-07T19:59:25.0470575Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0470687Z - aten_name: 2023-07-07T19:59:25.0470818Z - function_overloads: 2023-07-07T19:59:25.0470932Z - onnx_args: 2023-07-07T19:59:25.0471035Z - onnx_kwargs: 2023-07-07T19:59:25.0471342Z - diagnostic_context: 2023-07-07T19:59:25.0471487Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0471853Z 2023-07-07 19:56:07.191784974 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0472222Z 2023-07-07 19:56:07.192357798 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0472473Z [2023-07-07 19:56:07,231] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0472606Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0472611Z 2023-07-07T19:59:25.0472808Z [2023-07-07 19:56:07,231] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0473008Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0473018Z 2023-07-07T19:59:25.0473187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0473453Z - self: 2023-07-07T19:59:25.0473626Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0473737Z - aten_name: 2023-07-07T19:59:25.0473873Z - function_overloads: 2023-07-07T19:59:25.0473988Z - onnx_args: 2023-07-07T19:59:25.0474104Z - onnx_kwargs: 2023-07-07T19:59:25.0474392Z - diagnostic_context: 2023-07-07T19:59:25.0474620Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0474984Z 2023-07-07 19:56:07.276589041 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0475345Z 2023-07-07 19:56:07.277172749 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0475590Z [2023-07-07 19:56:07,315] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0475729Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0475739Z 2023-07-07T19:59:25.0475935Z [2023-07-07 19:56:07,315] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0476138Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0476143Z 2023-07-07T19:59:25.0476324Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0476591Z - self: 2023-07-07T19:59:25.0476753Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0476927Z - aten_name: 2023-07-07T19:59:25.0477061Z - function_overloads: 2023-07-07T19:59:25.0477176Z - onnx_args: 2023-07-07T19:59:25.0477291Z - onnx_kwargs: 2023-07-07T19:59:25.0477594Z - diagnostic_context: 2023-07-07T19:59:25.0477794Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0478149Z 2023-07-07 19:56:07.366241941 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0478507Z 2023-07-07 19:56:07.366833891 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0478787Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0479279Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0479762Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0480243Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int32 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0480477Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int32 PASSED [0.7203s] [ 11%] 2023-07-07T19:59:25.0480934Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int64 [2023-07-07 19:56:07,413] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0481067Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0481073Z 2023-07-07T19:59:25.0481272Z [2023-07-07 19:56:07,413] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0481476Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0481486Z 2023-07-07T19:59:25.0481670Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0481940Z - self: 2023-07-07T19:59:25.0482102Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0482216Z - aten_name: 2023-07-07T19:59:25.0482347Z - function_overloads: 2023-07-07T19:59:25.0482461Z - onnx_args: 2023-07-07T19:59:25.0482581Z - onnx_kwargs: 2023-07-07T19:59:25.0482888Z - diagnostic_context: 2023-07-07T19:59:25.0483033Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0483376Z 2023-07-07 19:56:07.415881229 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0483625Z [2023-07-07 19:56:07,452] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0483759Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0483765Z 2023-07-07T19:59:25.0483960Z [2023-07-07 19:56:07,452] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0484160Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0484165Z 2023-07-07T19:59:25.0484620Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0484906Z - self: 2023-07-07T19:59:25.0485081Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0485194Z - aten_name: 2023-07-07T19:59:25.0485314Z - function_overloads: 2023-07-07T19:59:25.0485498Z - onnx_args: 2023-07-07T19:59:25.0485613Z - onnx_kwargs: 2023-07-07T19:59:25.0485918Z - diagnostic_context: 2023-07-07T19:59:25.0486062Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0486420Z 2023-07-07 19:56:07.509219547 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0486779Z 2023-07-07 19:56:07.509667621 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0487129Z 2023-07-07 19:56:07.548543115 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0487478Z 2023-07-07 19:56:07.549104652 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0487718Z [2023-07-07 19:56:07,586] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0487852Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0487858Z 2023-07-07T19:59:25.0488054Z [2023-07-07 19:56:07,586] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0488258Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0488264Z 2023-07-07T19:59:25.0488448Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0488717Z - self: 2023-07-07T19:59:25.0488893Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0489005Z - aten_name: 2023-07-07T19:59:25.0489129Z - function_overloads: 2023-07-07T19:59:25.0489242Z - onnx_args: 2023-07-07T19:59:25.0489361Z - onnx_kwargs: 2023-07-07T19:59:25.0489663Z - diagnostic_context: 2023-07-07T19:59:25.0489808Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0490161Z 2023-07-07 19:56:07.588690075 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0490410Z [2023-07-07 19:56:07,627] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0490543Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0490550Z 2023-07-07T19:59:25.0490746Z [2023-07-07 19:56:07,627] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0490935Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0490945Z 2023-07-07T19:59:25.0491129Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0491396Z - self: 2023-07-07T19:59:25.0491567Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0491680Z - aten_name: 2023-07-07T19:59:25.0491810Z - function_overloads: 2023-07-07T19:59:25.0491924Z - onnx_args: 2023-07-07T19:59:25.0492102Z - onnx_kwargs: 2023-07-07T19:59:25.0492396Z - diagnostic_context: 2023-07-07T19:59:25.0492541Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0492901Z 2023-07-07 19:56:07.670422677 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0493330Z 2023-07-07 19:56:07.671000949 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0493685Z 2023-07-07 19:56:07.709986042 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0494036Z 2023-07-07 19:56:07.710565934 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0494287Z [2023-07-07 19:56:07,747] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0494421Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0494427Z 2023-07-07T19:59:25.0494624Z [2023-07-07 19:56:07,747] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0494819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0494838Z 2023-07-07T19:59:25.0495010Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0495279Z - self: 2023-07-07T19:59:25.0495455Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0495568Z - aten_name: 2023-07-07T19:59:25.0495699Z - function_overloads: 2023-07-07T19:59:25.0495817Z - onnx_args: 2023-07-07T19:59:25.0495933Z - onnx_kwargs: 2023-07-07T19:59:25.0496223Z - diagnostic_context: 2023-07-07T19:59:25.0496367Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0496612Z [2023-07-07 19:56:07,786] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0496751Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0496757Z 2023-07-07T19:59:25.0496955Z [2023-07-07 19:56:07,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0497157Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0497163Z 2023-07-07T19:59:25.0497345Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0497614Z - self: 2023-07-07T19:59:25.0497787Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0497904Z - aten_name: 2023-07-07T19:59:25.0498035Z - function_overloads: 2023-07-07T19:59:25.0498150Z - onnx_args: 2023-07-07T19:59:25.0498266Z - onnx_kwargs: 2023-07-07T19:59:25.0498571Z - diagnostic_context: 2023-07-07T19:59:25.0498721Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0499083Z 2023-07-07 19:56:07.789143858 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0499325Z [2023-07-07 19:56:07,827] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0499445Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0499452Z 2023-07-07T19:59:25.0499698Z [2023-07-07 19:56:07,827] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0499991Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0499997Z 2023-07-07T19:59:25.0500216Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0500569Z - self: 2023-07-07T19:59:25.0500778Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0500962Z - aten_name: 2023-07-07T19:59:25.0501125Z - function_overloads: 2023-07-07T19:59:25.0501228Z - onnx_args: 2023-07-07T19:59:25.0501517Z - onnx_kwargs: 2023-07-07T19:59:25.0501856Z - diagnostic_context: 2023-07-07T19:59:25.0502031Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0502393Z 2023-07-07 19:56:07.869375804 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0502787Z 2023-07-07 19:56:07.869960523 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0503065Z [2023-07-07 19:56:07,908] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0503239Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0503246Z 2023-07-07T19:59:25.0503468Z [2023-07-07 19:56:07,908] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0503701Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0503707Z 2023-07-07T19:59:25.0503953Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0504253Z - self: 2023-07-07T19:59:25.0504455Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0504559Z - aten_name: 2023-07-07T19:59:25.0504719Z - function_overloads: 2023-07-07T19:59:25.0504873Z - onnx_args: 2023-07-07T19:59:25.0505049Z - onnx_kwargs: 2023-07-07T19:59:25.0505381Z - diagnostic_context: 2023-07-07T19:59:25.0505556Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0505967Z 2023-07-07 19:56:07.952972374 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0506364Z 2023-07-07 19:56:07.953557112 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0506597Z [2023-07-07 19:56:07,992] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0506758Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0506764Z 2023-07-07T19:59:25.0506994Z [2023-07-07 19:56:07,992] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0507230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0507237Z 2023-07-07T19:59:25.0507453Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0507748Z - self: 2023-07-07T19:59:25.0507950Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0508116Z - aten_name: 2023-07-07T19:59:25.0508345Z - function_overloads: 2023-07-07T19:59:25.0508451Z - onnx_args: 2023-07-07T19:59:25.0508598Z - onnx_kwargs: 2023-07-07T19:59:25.0508930Z - diagnostic_context: 2023-07-07T19:59:25.0509138Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0509534Z 2023-07-07 19:56:08.037649373 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0509972Z 2023-07-07 19:56:08.038231717 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0510288Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0510860Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int64 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0511381Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int64 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0511889Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int64 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 11%] 2023-07-07T19:59:25.0512110Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int64 PASSED [0.6690s] [ 11%] 2023-07-07T19:59:25.0512591Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int8 [2023-07-07 19:56:08,082] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0512758Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0512765Z 2023-07-07T19:59:25.0512990Z [2023-07-07 19:56:08,082] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0513230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0513240Z 2023-07-07T19:59:25.0513458Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0513783Z - self: 2023-07-07T19:59:25.0513988Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0514167Z - aten_name: 2023-07-07T19:59:25.0514287Z - function_overloads: 2023-07-07T19:59:25.0514431Z - onnx_args: 2023-07-07T19:59:25.0514666Z - onnx_kwargs: 2023-07-07T19:59:25.0515012Z - diagnostic_context: 2023-07-07T19:59:25.0515187Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0515575Z 2023-07-07 19:56:08.084550812 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0515878Z [2023-07-07 19:56:08,123] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0516050Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0516057Z 2023-07-07T19:59:25.0516281Z [2023-07-07 19:56:08,123] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0516470Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0516476Z 2023-07-07T19:59:25.0516688Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0517061Z - self: 2023-07-07T19:59:25.0517297Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0517522Z - aten_name: 2023-07-07T19:59:25.0517758Z - function_overloads: 2023-07-07T19:59:25.0517998Z - onnx_args: 2023-07-07T19:59:25.0518242Z - onnx_kwargs: 2023-07-07T19:59:25.0518776Z - diagnostic_context: 2023-07-07T19:59:25.0519028Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0519610Z 2023-07-07 19:56:08.168838153 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0520191Z 2023-07-07 19:56:08.169416976 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0520775Z 2023-07-07 19:56:08.208454949 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0521342Z 2023-07-07 19:56:08.209029834 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0521757Z [2023-07-07 19:56:08,246] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0522024Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0522034Z 2023-07-07T19:59:25.0522364Z [2023-07-07 19:56:08,246] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0522653Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0522705Z 2023-07-07T19:59:25.0522971Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0523420Z - self: 2023-07-07T19:59:25.0523715Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0523920Z - aten_name: 2023-07-07T19:59:25.0524150Z - function_overloads: 2023-07-07T19:59:25.0524499Z - onnx_args: 2023-07-07T19:59:25.0524751Z - onnx_kwargs: 2023-07-07T19:59:25.0525204Z - diagnostic_context: 2023-07-07T19:59:25.0525455Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0526046Z 2023-07-07 19:56:08.249124809 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0526454Z [2023-07-07 19:56:08,287] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0526686Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0526696Z 2023-07-07T19:59:25.0527031Z [2023-07-07 19:56:08,287] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0527372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0527381Z 2023-07-07T19:59:25.0527696Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0528160Z - self: 2023-07-07T19:59:25.0528412Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0528615Z - aten_name: 2023-07-07T19:59:25.0528847Z - function_overloads: 2023-07-07T19:59:25.0529053Z - onnx_args: 2023-07-07T19:59:25.0529262Z - onnx_kwargs: 2023-07-07T19:59:25.0529873Z - diagnostic_context: 2023-07-07T19:59:25.0530162Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0530751Z 2023-07-07 19:56:08.330320307 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0531292Z 2023-07-07 19:56:08.330890730 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0531975Z 2023-07-07 19:56:08.371643087 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0532555Z 2023-07-07 19:56:08.372232083 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0532975Z [2023-07-07 19:56:08,411] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0533202Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0533211Z 2023-07-07T19:59:25.0533533Z [2023-07-07 19:56:08,411] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0533885Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0533901Z 2023-07-07T19:59:25.0534224Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0534563Z - self: 2023-07-07T19:59:25.0534811Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0534915Z - aten_name: 2023-07-07T19:59:25.0535086Z - function_overloads: 2023-07-07T19:59:25.0535229Z - onnx_args: 2023-07-07T19:59:25.0535377Z - onnx_kwargs: 2023-07-07T19:59:25.0535924Z - diagnostic_context: 2023-07-07T19:59:25.0536101Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0536379Z [2023-07-07 19:56:08,451] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0536503Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0536556Z 2023-07-07T19:59:25.0536743Z [2023-07-07 19:56:08,451] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0537009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0537015Z 2023-07-07T19:59:25.0537225Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0537521Z - self: 2023-07-07T19:59:25.0537727Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0537875Z - aten_name: 2023-07-07T19:59:25.0538037Z - function_overloads: 2023-07-07T19:59:25.0538180Z - onnx_args: 2023-07-07T19:59:25.0538285Z - onnx_kwargs: 2023-07-07T19:59:25.0538624Z - diagnostic_context: 2023-07-07T19:59:25.0538820Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0539220Z 2023-07-07 19:56:08.454041968 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0539495Z [2023-07-07 19:56:08,493] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0539657Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0539663Z 2023-07-07T19:59:25.0539916Z [2023-07-07 19:56:08,493] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0540242Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0540249Z 2023-07-07T19:59:25.0540462Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0540721Z - self: 2023-07-07T19:59:25.0540982Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0541148Z - aten_name: 2023-07-07T19:59:25.0541312Z - function_overloads: 2023-07-07T19:59:25.0541457Z - onnx_args: 2023-07-07T19:59:25.0541608Z - onnx_kwargs: 2023-07-07T19:59:25.0541944Z - diagnostic_context: 2023-07-07T19:59:25.0542078Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0542479Z 2023-07-07 19:56:08.537995321 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0542873Z 2023-07-07 19:56:08.538439440 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0543150Z [2023-07-07 19:56:08,576] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0543336Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0543342Z 2023-07-07T19:59:25.0543603Z [2023-07-07 19:56:08,576] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0543838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0543844Z 2023-07-07T19:59:25.0544056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0544356Z - self: 2023-07-07T19:59:25.0544561Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0544664Z - aten_name: 2023-07-07T19:59:25.0544823Z - function_overloads: 2023-07-07T19:59:25.0544970Z - onnx_args: 2023-07-07T19:59:25.0545137Z - onnx_kwargs: 2023-07-07T19:59:25.0545484Z - diagnostic_context: 2023-07-07T19:59:25.0545666Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0546058Z 2023-07-07 19:56:08.619241391 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0546626Z 2023-07-07 19:56:08.619710097 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0546930Z [2023-07-07 19:56:08,658] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0547100Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0547106Z 2023-07-07T19:59:25.0547335Z [2023-07-07 19:56:08,658] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0547571Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0547582Z 2023-07-07T19:59:25.0547829Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0548158Z - self: 2023-07-07T19:59:25.0548362Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0548506Z - aten_name: 2023-07-07T19:59:25.0548626Z - function_overloads: 2023-07-07T19:59:25.0548772Z - onnx_args: 2023-07-07T19:59:25.0548981Z - onnx_kwargs: 2023-07-07T19:59:25.0549326Z - diagnostic_context: 2023-07-07T19:59:25.0549501Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0549922Z 2023-07-07 19:56:08.700980043 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0550373Z 2023-07-07 19:56:08.701434972 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0550683Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0551211Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0551741Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0552272Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0552548Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_int8 PASSED [0.6613s] [ 12%] 2023-07-07T19:59:25.0553080Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_uint8 [2023-07-07 19:56:08,741] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0553246Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0553252Z 2023-07-07T19:59:25.0553509Z [2023-07-07 19:56:08,741] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0553746Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0553757Z 2023-07-07T19:59:25.0553972Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0554283Z - self: 2023-07-07T19:59:25.0554566Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0554716Z - aten_name: 2023-07-07T19:59:25.0554837Z - function_overloads: 2023-07-07T19:59:25.0554984Z - onnx_args: 2023-07-07T19:59:25.0555133Z - onnx_kwargs: 2023-07-07T19:59:25.0555495Z - diagnostic_context: 2023-07-07T19:59:25.0555677Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0556073Z 2023-07-07 19:56:08.743202144 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0556348Z [2023-07-07 19:56:08,778] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0556494Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0556505Z 2023-07-07T19:59:25.0608518Z [2023-07-07 19:56:08,779] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0608850Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0608861Z 2023-07-07T19:59:25.0609139Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0609545Z - self: 2023-07-07T19:59:25.0610031Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0610200Z - aten_name: 2023-07-07T19:59:25.0610393Z - function_overloads: 2023-07-07T19:59:25.0610555Z - onnx_args: 2023-07-07T19:59:25.0610727Z - onnx_kwargs: 2023-07-07T19:59:25.0611190Z - diagnostic_context: 2023-07-07T19:59:25.0611536Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0612083Z 2023-07-07 19:56:08.819783813 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0612617Z 2023-07-07 19:56:08.820237576 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0613190Z 2023-07-07 19:56:08.857278534 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0613569Z 2023-07-07 19:56:08.857729386 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1}. Falling back to lenient merge. 2023-07-07T19:59:25.0613816Z [2023-07-07 19:56:08,892] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0613954Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0613961Z 2023-07-07T19:59:25.0614147Z [2023-07-07 19:56:08,893] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0614347Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0614353Z 2023-07-07T19:59:25.0614536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0614809Z - self: 2023-07-07T19:59:25.0614981Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0615088Z - aten_name: 2023-07-07T19:59:25.0615220Z - function_overloads: 2023-07-07T19:59:25.0615329Z - onnx_args: 2023-07-07T19:59:25.0615433Z - onnx_kwargs: 2023-07-07T19:59:25.0615732Z - diagnostic_context: 2023-07-07T19:59:25.0615878Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0616234Z 2023-07-07 19:56:08.895000809 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0616471Z [2023-07-07 19:56:08,947] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0616597Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0616604Z 2023-07-07T19:59:25.0616803Z [2023-07-07 19:56:08,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0617001Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0617007Z 2023-07-07T19:59:25.0617188Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0617449Z - self: 2023-07-07T19:59:25.0617616Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0617727Z - aten_name: 2023-07-07T19:59:25.0617855Z - function_overloads: 2023-07-07T19:59:25.0617962Z - onnx_args: 2023-07-07T19:59:25.0618071Z - onnx_kwargs: 2023-07-07T19:59:25.0618370Z - diagnostic_context: 2023-07-07T19:59:25.0618503Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0618938Z 2023-07-07 19:56:09.011165913 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0619296Z 2023-07-07 19:56:09.011852037 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0619707Z 2023-07-07 19:56:09.067088424 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0620057Z 2023-07-07 19:56:09.067776167 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0620298Z [2023-07-07 19:56:09,126] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0620432Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0620443Z 2023-07-07T19:59:25.0620642Z [2023-07-07 19:56:09,126] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0620843Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0620849Z 2023-07-07T19:59:25.0621026Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0621301Z - self: 2023-07-07T19:59:25.0621464Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0621573Z - aten_name: 2023-07-07T19:59:25.0621698Z - function_overloads: 2023-07-07T19:59:25.0621810Z - onnx_args: 2023-07-07T19:59:25.0621920Z - onnx_kwargs: 2023-07-07T19:59:25.0622215Z - diagnostic_context: 2023-07-07T19:59:25.0622358Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0622592Z [2023-07-07 19:56:09,186] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0622724Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0622730Z 2023-07-07T19:59:25.0622920Z [2023-07-07 19:56:09,186] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0623121Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0623127Z 2023-07-07T19:59:25.0623303Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0623567Z - self: 2023-07-07T19:59:25.0623737Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0623842Z - aten_name: 2023-07-07T19:59:25.0623973Z - function_overloads: 2023-07-07T19:59:25.0624079Z - onnx_args: 2023-07-07T19:59:25.0624186Z - onnx_kwargs: 2023-07-07T19:59:25.0624481Z - diagnostic_context: 2023-07-07T19:59:25.0624624Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0624983Z 2023-07-07 19:56:09.189808824 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0625225Z [2023-07-07 19:56:09,247] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0625354Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0625360Z 2023-07-07T19:59:25.0625551Z [2023-07-07 19:56:09,247] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0625742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0625816Z 2023-07-07T19:59:25.0626001Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0626266Z - self: 2023-07-07T19:59:25.0626437Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0626542Z - aten_name: 2023-07-07T19:59:25.0626727Z - function_overloads: 2023-07-07T19:59:25.0626837Z - onnx_args: 2023-07-07T19:59:25.0626951Z - onnx_kwargs: 2023-07-07T19:59:25.0627242Z - diagnostic_context: 2023-07-07T19:59:25.0627379Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0627745Z 2023-07-07 19:56:09.308733536 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1,1} target:{3,2,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0628110Z 2023-07-07 19:56:09.309389359 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,2,1} target:{3,2,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0628354Z [2023-07-07 19:56:09,363] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0628482Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0628493Z 2023-07-07T19:59:25.0628680Z [2023-07-07 19:56:09,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0628879Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0628884Z 2023-07-07T19:59:25.0629060Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0629315Z - self: 2023-07-07T19:59:25.0629485Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0629604Z - aten_name: 2023-07-07T19:59:25.0629728Z - function_overloads: 2023-07-07T19:59:25.0629835Z - onnx_args: 2023-07-07T19:59:25.0629949Z - onnx_kwargs: 2023-07-07T19:59:25.0630255Z - diagnostic_context: 2023-07-07T19:59:25.0630395Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0630745Z 2023-07-07 19:56:09.406583746 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{1,1,1,1} target:{}. Falling back to lenient merge. 2023-07-07T19:59:25.0631103Z 2023-07-07 19:56:09.407184929 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{} target:{1,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0631350Z [2023-07-07 19:56:09,446] torch.onnx: [WARNING] FX Node: call_function:aten.amin.default[name=amin]. 2023-07-07T19:59:25.0631484Z ONNX Node: aten_amin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0631490Z 2023-07-07T19:59:25.0631685Z [2023-07-07 19:56:09,446] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0631884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0631890Z 2023-07-07T19:59:25.0632077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0632339Z - self: 2023-07-07T19:59:25.0632511Z - node: fx.Node(amin[call_function]'aten.amin.default') 2023-07-07T19:59:25.0632613Z - aten_name: 2023-07-07T19:59:25.0632742Z - function_overloads: 2023-07-07T19:59:25.0632853Z - onnx_args: 2023-07-07T19:59:25.0632967Z - onnx_kwargs: 2023-07-07T19:59:25.0633320Z - diagnostic_context: 2023-07-07T19:59:25.0633459Z - Return value: `OnnxFunction(aten_amin)` 2023-07-07T19:59:25.0633825Z 2023-07-07 19:56:09.494909611 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1,1,1} target:{3,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0634230Z 2023-07-07 19:56:09.495510578 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'amin' source:{3,1} target:{3,1,1,1}. Falling back to lenient merge. 2023-07-07T19:59:25.0634636Z SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0635137Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_uint8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0635624Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_uint8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0636103Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_uint8 SUBSKIP [0.0000s] (Op (ReduceMax) [ShapeInferenceError] axis must be in [-rank, rank-1]. input rank was 0) [ 12%] 2023-07-07T19:59:25.0636337Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_amin_cpu_uint8 PASSED [0.7969s] [ 12%] 2023-07-07T19:59:25.0636782Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_bool [2023-07-07 19:56:09,541] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0636915Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0636921Z 2023-07-07T19:59:25.0637117Z [2023-07-07 19:56:09,541] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0637318Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0637325Z 2023-07-07T19:59:25.0637505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0637770Z - self: 2023-07-07T19:59:25.0637947Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0638049Z - aten_name: 2023-07-07T19:59:25.0638176Z - function_overloads: 2023-07-07T19:59:25.0638284Z - onnx_args: 2023-07-07T19:59:25.0638398Z - onnx_kwargs: 2023-07-07T19:59:25.0638708Z - diagnostic_context: 2023-07-07T19:59:25.0638841Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0639084Z [2023-07-07 19:56:09,582] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0639208Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0639215Z 2023-07-07T19:59:25.0639406Z [2023-07-07 19:56:09,582] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0639600Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0639610Z 2023-07-07T19:59:25.0639789Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0640047Z - self: 2023-07-07T19:59:25.0640211Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0640319Z - aten_name: 2023-07-07T19:59:25.0640447Z - function_overloads: 2023-07-07T19:59:25.0640550Z - onnx_args: 2023-07-07T19:59:25.0640661Z - onnx_kwargs: 2023-07-07T19:59:25.0641023Z - diagnostic_context: 2023-07-07T19:59:25.0641171Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0641406Z [2023-07-07 19:56:09,662] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0641544Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0641604Z 2023-07-07T19:59:25.0641793Z [2023-07-07 19:56:09,662] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0641997Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0642003Z 2023-07-07T19:59:25.0642176Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0642429Z - self: 2023-07-07T19:59:25.0642590Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0642704Z - aten_name: 2023-07-07T19:59:25.0642834Z - function_overloads: 2023-07-07T19:59:25.0642950Z - onnx_args: 2023-07-07T19:59:25.0643067Z - onnx_kwargs: 2023-07-07T19:59:25.0643367Z - diagnostic_context: 2023-07-07T19:59:25.0643507Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0643748Z [2023-07-07 19:56:09,704] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0643876Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0643882Z 2023-07-07T19:59:25.0644074Z [2023-07-07 19:56:09,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0644272Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0644277Z 2023-07-07T19:59:25.0644602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0644879Z - self: 2023-07-07T19:59:25.0645051Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0645166Z - aten_name: 2023-07-07T19:59:25.0645285Z - function_overloads: 2023-07-07T19:59:25.0645400Z - onnx_args: 2023-07-07T19:59:25.0645513Z - onnx_kwargs: 2023-07-07T19:59:25.0645813Z - diagnostic_context: 2023-07-07T19:59:25.0645947Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0646185Z [2023-07-07 19:56:09,759] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0646322Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0646328Z 2023-07-07T19:59:25.0646521Z [2023-07-07 19:56:09,759] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0646713Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0646719Z 2023-07-07T19:59:25.0646906Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0647163Z - self: 2023-07-07T19:59:25.0647329Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0647438Z - aten_name: 2023-07-07T19:59:25.0647568Z - function_overloads: 2023-07-07T19:59:25.0647678Z - onnx_args: 2023-07-07T19:59:25.0647793Z - onnx_kwargs: 2023-07-07T19:59:25.0648085Z - diagnostic_context: 2023-07-07T19:59:25.0648233Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0648559Z [2023-07-07 19:56:09,800] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0648695Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0648700Z 2023-07-07T19:59:25.0648896Z [2023-07-07 19:56:09,800] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0649092Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0649175Z 2023-07-07T19:59:25.0649353Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0649619Z - self: 2023-07-07T19:59:25.0649771Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0649876Z - aten_name: 2023-07-07T19:59:25.0650005Z - function_overloads: 2023-07-07T19:59:25.0650118Z - onnx_args: 2023-07-07T19:59:25.0650231Z - onnx_kwargs: 2023-07-07T19:59:25.0650538Z - diagnostic_context: 2023-07-07T19:59:25.0650690Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0650931Z [2023-07-07 19:56:09,844] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0651052Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0651061Z 2023-07-07T19:59:25.0651255Z [2023-07-07 19:56:09,845] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0651451Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0651457Z 2023-07-07T19:59:25.0651640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0651900Z - self: 2023-07-07T19:59:25.0652075Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0652185Z - aten_name: 2023-07-07T19:59:25.0652313Z - function_overloads: 2023-07-07T19:59:25.0652415Z - onnx_args: 2023-07-07T19:59:25.0652523Z - onnx_kwargs: 2023-07-07T19:59:25.0652824Z - diagnostic_context: 2023-07-07T19:59:25.0652965Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0653200Z [2023-07-07 19:56:09,888] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0653329Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0653335Z 2023-07-07T19:59:25.0653529Z [2023-07-07 19:56:09,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0653725Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0653731Z 2023-07-07T19:59:25.0653920Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0654173Z - self: 2023-07-07T19:59:25.0654330Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0654436Z - aten_name: 2023-07-07T19:59:25.0654564Z - function_overloads: 2023-07-07T19:59:25.0654679Z - onnx_args: 2023-07-07T19:59:25.0654792Z - onnx_kwargs: 2023-07-07T19:59:25.0655095Z - diagnostic_context: 2023-07-07T19:59:25.0655234Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0655470Z [2023-07-07 19:56:09,930] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0655605Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0655611Z 2023-07-07T19:59:25.0655856Z [2023-07-07 19:56:09,930] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0656058Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0656064Z 2023-07-07T19:59:25.0656243Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0656506Z - self: 2023-07-07T19:59:25.0656719Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0656830Z - aten_name: 2023-07-07T19:59:25.0656949Z - function_overloads: 2023-07-07T19:59:25.0657056Z - onnx_args: 2023-07-07T19:59:25.0657169Z - onnx_kwargs: 2023-07-07T19:59:25.0657463Z - diagnostic_context: 2023-07-07T19:59:25.0657612Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0657853Z [2023-07-07 19:56:09,981] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0657978Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0657983Z 2023-07-07T19:59:25.0658166Z [2023-07-07 19:56:09,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0658363Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0658373Z 2023-07-07T19:59:25.0658551Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0658812Z - self: 2023-07-07T19:59:25.0658985Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0659096Z - aten_name: 2023-07-07T19:59:25.0659221Z - function_overloads: 2023-07-07T19:59:25.0659333Z - onnx_args: 2023-07-07T19:59:25.0659443Z - onnx_kwargs: 2023-07-07T19:59:25.0659738Z - diagnostic_context: 2023-07-07T19:59:25.0659877Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0660106Z [2023-07-07 19:56:10,028] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0660241Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0660250Z 2023-07-07T19:59:25.0660444Z [2023-07-07 19:56:10,028] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0660641Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0660647Z 2023-07-07T19:59:25.0660827Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0661085Z - self: 2023-07-07T19:59:25.0661241Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0661353Z - aten_name: 2023-07-07T19:59:25.0661481Z - function_overloads: 2023-07-07T19:59:25.0661591Z - onnx_args: 2023-07-07T19:59:25.0661702Z - onnx_kwargs: 2023-07-07T19:59:25.0662003Z - diagnostic_context: 2023-07-07T19:59:25.0662156Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0662379Z [2023-07-07 19:56:10,073] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0662515Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0662520Z 2023-07-07T19:59:25.0662711Z [2023-07-07 19:56:10,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0662910Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0662916Z 2023-07-07T19:59:25.0663145Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0663412Z - self: 2023-07-07T19:59:25.0663577Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0663685Z - aten_name: 2023-07-07T19:59:25.0663864Z - function_overloads: 2023-07-07T19:59:25.0663966Z - onnx_args: 2023-07-07T19:59:25.0664078Z - onnx_kwargs: 2023-07-07T19:59:25.0664383Z - diagnostic_context: 2023-07-07T19:59:25.0664530Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0664765Z [2023-07-07 19:56:10,133] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0664894Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0664900Z 2023-07-07T19:59:25.0665090Z [2023-07-07 19:56:10,133] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0665289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0665295Z 2023-07-07T19:59:25.0665467Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0665733Z - self: 2023-07-07T19:59:25.0665894Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0666001Z - aten_name: 2023-07-07T19:59:25.0666130Z - function_overloads: 2023-07-07T19:59:25.0666241Z - onnx_args: 2023-07-07T19:59:25.0666355Z - onnx_kwargs: 2023-07-07T19:59:25.0666642Z - diagnostic_context: 2023-07-07T19:59:25.0666795Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0666873Z PASSED [0.6460s] [ 12%] 2023-07-07T19:59:25.0667338Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_float16 [2023-07-07 19:56:10,193] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0667464Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0667474Z 2023-07-07T19:59:25.0667671Z [2023-07-07 19:56:10,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0667873Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0667879Z 2023-07-07T19:59:25.0668057Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0668324Z - self: 2023-07-07T19:59:25.0668493Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0668598Z - aten_name: 2023-07-07T19:59:25.0668726Z - function_overloads: 2023-07-07T19:59:25.0668843Z - onnx_args: 2023-07-07T19:59:25.0668955Z - onnx_kwargs: 2023-07-07T19:59:25.0669257Z - diagnostic_context: 2023-07-07T19:59:25.0669391Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0669625Z [2023-07-07 19:56:10,256] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0669751Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0669757Z 2023-07-07T19:59:25.0669953Z [2023-07-07 19:56:10,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0670150Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0670157Z 2023-07-07T19:59:25.0670382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0670650Z - self: 2023-07-07T19:59:25.0670809Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0670922Z - aten_name: 2023-07-07T19:59:25.0671052Z - function_overloads: 2023-07-07T19:59:25.0671154Z - onnx_args: 2023-07-07T19:59:25.0671356Z - onnx_kwargs: 2023-07-07T19:59:25.0671686Z - diagnostic_context: 2023-07-07T19:59:25.0671916Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0672277Z [2023-07-07 19:56:10,300] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0672477Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0672485Z 2023-07-07T19:59:25.0672775Z [2023-07-07 19:56:10,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0673077Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0673085Z 2023-07-07T19:59:25.0673360Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0673750Z - self: 2023-07-07T19:59:25.0673999Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0674167Z - aten_name: 2023-07-07T19:59:25.0674364Z - function_overloads: 2023-07-07T19:59:25.0674605Z - onnx_args: 2023-07-07T19:59:25.0674786Z - onnx_kwargs: 2023-07-07T19:59:25.0675240Z - diagnostic_context: 2023-07-07T19:59:25.0675457Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0675825Z [2023-07-07 19:56:10,342] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0676016Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0676025Z 2023-07-07T19:59:25.0676313Z [2023-07-07 19:56:10,342] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0676615Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0676628Z 2023-07-07T19:59:25.0676899Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0677304Z - self: 2023-07-07T19:59:25.0677563Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0677729Z - aten_name: 2023-07-07T19:59:25.0677913Z - function_overloads: 2023-07-07T19:59:25.0678089Z - onnx_args: 2023-07-07T19:59:25.0678260Z - onnx_kwargs: 2023-07-07T19:59:25.0678717Z - diagnostic_context: 2023-07-07T19:59:25.0678936Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0679285Z [2023-07-07 19:56:10,385] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0679487Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0679501Z 2023-07-07T19:59:25.0679784Z [2023-07-07 19:56:10,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0680083Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0680091Z 2023-07-07T19:59:25.0680354Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0680756Z - self: 2023-07-07T19:59:25.0681001Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0681256Z - aten_name: 2023-07-07T19:59:25.0681456Z - function_overloads: 2023-07-07T19:59:25.0681628Z - onnx_args: 2023-07-07T19:59:25.0681790Z - onnx_kwargs: 2023-07-07T19:59:25.0682246Z - diagnostic_context: 2023-07-07T19:59:25.0682539Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0682894Z [2023-07-07 19:56:10,432] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0683100Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0683108Z 2023-07-07T19:59:25.0683406Z [2023-07-07 19:56:10,432] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0683708Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0683716Z 2023-07-07T19:59:25.0684000Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0684512Z - self: 2023-07-07T19:59:25.0684756Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0684929Z - aten_name: 2023-07-07T19:59:25.0685130Z - function_overloads: 2023-07-07T19:59:25.0685315Z - onnx_args: 2023-07-07T19:59:25.0685492Z - onnx_kwargs: 2023-07-07T19:59:25.0685956Z - diagnostic_context: 2023-07-07T19:59:25.0686185Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0686543Z [2023-07-07 19:56:10,476] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0686741Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0686749Z 2023-07-07T19:59:25.0687048Z [2023-07-07 19:56:10,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0687353Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0687362Z 2023-07-07T19:59:25.0687637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0688047Z - self: 2023-07-07T19:59:25.0688318Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0688489Z - aten_name: 2023-07-07T19:59:25.0688689Z - function_overloads: 2023-07-07T19:59:25.0688853Z - onnx_args: 2023-07-07T19:59:25.0689036Z - onnx_kwargs: 2023-07-07T19:59:25.0689496Z - diagnostic_context: 2023-07-07T19:59:25.0689711Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0690076Z [2023-07-07 19:56:10,519] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0690280Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0690288Z 2023-07-07T19:59:25.0690580Z [2023-07-07 19:56:10,519] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0690877Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0690890Z 2023-07-07T19:59:25.0691150Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0691551Z - self: 2023-07-07T19:59:25.0691800Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0691975Z - aten_name: 2023-07-07T19:59:25.0692173Z - function_overloads: 2023-07-07T19:59:25.0692346Z - onnx_args: 2023-07-07T19:59:25.0692524Z - onnx_kwargs: 2023-07-07T19:59:25.0693086Z - diagnostic_context: 2023-07-07T19:59:25.0693305Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0693664Z [2023-07-07 19:56:10,569] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0693864Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0693957Z 2023-07-07T19:59:25.0694270Z [2023-07-07 19:56:10,569] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0694582Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0694592Z 2023-07-07T19:59:25.0694780Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0695105Z - self: 2023-07-07T19:59:25.0695277Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0695378Z - aten_name: 2023-07-07T19:59:25.0695511Z - function_overloads: 2023-07-07T19:59:25.0695628Z - onnx_args: 2023-07-07T19:59:25.0695747Z - onnx_kwargs: 2023-07-07T19:59:25.0696054Z - diagnostic_context: 2023-07-07T19:59:25.0696217Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0696469Z [2023-07-07 19:56:10,617] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0696604Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0696610Z 2023-07-07T19:59:25.0696792Z [2023-07-07 19:56:10,617] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0696992Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0696999Z 2023-07-07T19:59:25.0697184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0697455Z - self: 2023-07-07T19:59:25.0697630Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0697743Z - aten_name: 2023-07-07T19:59:25.0697872Z - function_overloads: 2023-07-07T19:59:25.0697991Z - onnx_args: 2023-07-07T19:59:25.0698094Z - onnx_kwargs: 2023-07-07T19:59:25.0698399Z - diagnostic_context: 2023-07-07T19:59:25.0698543Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0698778Z [2023-07-07 19:56:10,661] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0698913Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0698919Z 2023-07-07T19:59:25.0699121Z [2023-07-07 19:56:10,661] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0699324Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0699330Z 2023-07-07T19:59:25.0699510Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0699777Z - self: 2023-07-07T19:59:25.0699933Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0700047Z - aten_name: 2023-07-07T19:59:25.0700181Z - function_overloads: 2023-07-07T19:59:25.0700293Z - onnx_args: 2023-07-07T19:59:25.0700410Z - onnx_kwargs: 2023-07-07T19:59:25.0700710Z - diagnostic_context: 2023-07-07T19:59:25.0700862Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0701150Z [2023-07-07 19:56:10,718] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0701290Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0701296Z 2023-07-07T19:59:25.0701491Z [2023-07-07 19:56:10,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0701693Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0701754Z 2023-07-07T19:59:25.0701939Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0702205Z - self: 2023-07-07T19:59:25.0702368Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0702481Z - aten_name: 2023-07-07T19:59:25.0702599Z - function_overloads: 2023-07-07T19:59:25.0702715Z - onnx_args: 2023-07-07T19:59:25.0702835Z - onnx_kwargs: 2023-07-07T19:59:25.0703139Z - diagnostic_context: 2023-07-07T19:59:25.0703291Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0703526Z [2023-07-07 19:56:10,803] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0703662Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0703671Z 2023-07-07T19:59:25.0703867Z [2023-07-07 19:56:10,803] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0704056Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0704075Z 2023-07-07T19:59:25.0704244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0704511Z - self: 2023-07-07T19:59:25.0704677Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0704795Z - aten_name: 2023-07-07T19:59:25.0704925Z - function_overloads: 2023-07-07T19:59:25.0705040Z - onnx_args: 2023-07-07T19:59:25.0705156Z - onnx_kwargs: 2023-07-07T19:59:25.0705520Z - diagnostic_context: 2023-07-07T19:59:25.0705883Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0705969Z PASSED [0.6595s] [ 12%] 2023-07-07T19:59:25.0706445Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_float32 [2023-07-07 19:56:10,850] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0706581Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0706587Z 2023-07-07T19:59:25.0706789Z [2023-07-07 19:56:10,850] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0706998Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0707003Z 2023-07-07T19:59:25.0707186Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0707453Z - self: 2023-07-07T19:59:25.0707618Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0707731Z - aten_name: 2023-07-07T19:59:25.0707863Z - function_overloads: 2023-07-07T19:59:25.0707981Z - onnx_args: 2023-07-07T19:59:25.0708097Z - onnx_kwargs: 2023-07-07T19:59:25.0708399Z - diagnostic_context: 2023-07-07T19:59:25.0708541Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0708841Z [2023-07-07 19:56:10,894] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0708978Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0708984Z 2023-07-07T19:59:25.0709183Z [2023-07-07 19:56:10,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0709387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0709461Z 2023-07-07T19:59:25.0709650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0709916Z - self: 2023-07-07T19:59:25.0710078Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0710190Z - aten_name: 2023-07-07T19:59:25.0710321Z - function_overloads: 2023-07-07T19:59:25.0710424Z - onnx_args: 2023-07-07T19:59:25.0710540Z - onnx_kwargs: 2023-07-07T19:59:25.0710848Z - diagnostic_context: 2023-07-07T19:59:25.0710999Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0711235Z [2023-07-07 19:56:10,936] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0711371Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0711381Z 2023-07-07T19:59:25.0711576Z [2023-07-07 19:56:10,936] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0711778Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0711783Z 2023-07-07T19:59:25.0711956Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0712221Z - self: 2023-07-07T19:59:25.0712384Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0712504Z - aten_name: 2023-07-07T19:59:25.0712637Z - function_overloads: 2023-07-07T19:59:25.0712755Z - onnx_args: 2023-07-07T19:59:25.0712870Z - onnx_kwargs: 2023-07-07T19:59:25.0713174Z - diagnostic_context: 2023-07-07T19:59:25.0713313Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0713566Z [2023-07-07 19:56:10,983] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0713698Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0713704Z 2023-07-07T19:59:25.0713897Z [2023-07-07 19:56:10,983] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0714100Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0714106Z 2023-07-07T19:59:25.0714293Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0714645Z - self: 2023-07-07T19:59:25.0714824Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0714924Z - aten_name: 2023-07-07T19:59:25.0715055Z - function_overloads: 2023-07-07T19:59:25.0715176Z - onnx_args: 2023-07-07T19:59:25.0715293Z - onnx_kwargs: 2023-07-07T19:59:25.0715594Z - diagnostic_context: 2023-07-07T19:59:25.0715739Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0715977Z [2023-07-07 19:56:11,032] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0716116Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0716121Z 2023-07-07T19:59:25.0716359Z [2023-07-07 19:56:11,032] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0716743Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0716754Z 2023-07-07T19:59:25.0717048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0717457Z - self: 2023-07-07T19:59:25.0717826Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0718033Z - aten_name: 2023-07-07T19:59:25.0718276Z - function_overloads: 2023-07-07T19:59:25.0718488Z - onnx_args: 2023-07-07T19:59:25.0718691Z - onnx_kwargs: 2023-07-07T19:59:25.0719177Z - diagnostic_context: 2023-07-07T19:59:25.0719332Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0719572Z [2023-07-07 19:56:11,075] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0719712Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0719719Z 2023-07-07T19:59:25.0719914Z [2023-07-07 19:56:11,075] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0720118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0720130Z 2023-07-07T19:59:25.0720315Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0720582Z - self: 2023-07-07T19:59:25.0720735Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0720847Z - aten_name: 2023-07-07T19:59:25.0720978Z - function_overloads: 2023-07-07T19:59:25.0721092Z - onnx_args: 2023-07-07T19:59:25.0721209Z - onnx_kwargs: 2023-07-07T19:59:25.0721520Z - diagnostic_context: 2023-07-07T19:59:25.0721673Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0721909Z [2023-07-07 19:56:11,117] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0722039Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0722049Z 2023-07-07T19:59:25.0722246Z [2023-07-07 19:56:11,117] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0722450Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0722456Z 2023-07-07T19:59:25.0722640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0722906Z - self: 2023-07-07T19:59:25.0723083Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0723196Z - aten_name: 2023-07-07T19:59:25.0723329Z - function_overloads: 2023-07-07T19:59:25.0723431Z - onnx_args: 2023-07-07T19:59:25.0723545Z - onnx_kwargs: 2023-07-07T19:59:25.0723847Z - diagnostic_context: 2023-07-07T19:59:25.0723995Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0724232Z [2023-07-07 19:56:11,161] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0724370Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0724475Z 2023-07-07T19:59:25.0724728Z [2023-07-07 19:56:11,161] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0724931Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0724937Z 2023-07-07T19:59:25.0725230Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0725503Z - self: 2023-07-07T19:59:25.0725668Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0725786Z - aten_name: 2023-07-07T19:59:25.0725919Z - function_overloads: 2023-07-07T19:59:25.0726108Z - onnx_args: 2023-07-07T19:59:25.0726225Z - onnx_kwargs: 2023-07-07T19:59:25.0726519Z - diagnostic_context: 2023-07-07T19:59:25.0726674Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0726913Z [2023-07-07 19:56:11,206] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0727051Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0727057Z 2023-07-07T19:59:25.0727258Z [2023-07-07 19:56:11,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0727459Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0727465Z 2023-07-07T19:59:25.0727728Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0728061Z - self: 2023-07-07T19:59:25.0728232Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0728333Z - aten_name: 2023-07-07T19:59:25.0728466Z - function_overloads: 2023-07-07T19:59:25.0728585Z - onnx_args: 2023-07-07T19:59:25.0728702Z - onnx_kwargs: 2023-07-07T19:59:25.0729010Z - diagnostic_context: 2023-07-07T19:59:25.0729162Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0729412Z [2023-07-07 19:56:11,252] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0729532Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0729549Z 2023-07-07T19:59:25.0729731Z [2023-07-07 19:56:11,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0729935Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0729946Z 2023-07-07T19:59:25.0730127Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0730393Z - self: 2023-07-07T19:59:25.0730568Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0730684Z - aten_name: 2023-07-07T19:59:25.0730813Z - function_overloads: 2023-07-07T19:59:25.0730932Z - onnx_args: 2023-07-07T19:59:25.0731039Z - onnx_kwargs: 2023-07-07T19:59:25.0731347Z - diagnostic_context: 2023-07-07T19:59:25.0731487Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0731721Z [2023-07-07 19:56:11,311] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0731861Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0731871Z 2023-07-07T19:59:25.0732065Z [2023-07-07 19:56:11,311] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0732267Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0732273Z 2023-07-07T19:59:25.0732458Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0732714Z - self: 2023-07-07T19:59:25.0732945Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0733058Z - aten_name: 2023-07-07T19:59:25.0733191Z - function_overloads: 2023-07-07T19:59:25.0733304Z - onnx_args: 2023-07-07T19:59:25.0733421Z - onnx_kwargs: 2023-07-07T19:59:25.0733723Z - diagnostic_context: 2023-07-07T19:59:25.0733933Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0734155Z [2023-07-07 19:56:11,364] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0734347Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0734353Z 2023-07-07T19:59:25.0734547Z [2023-07-07 19:56:11,364] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0734752Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0734758Z 2023-07-07T19:59:25.0734945Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0735214Z - self: 2023-07-07T19:59:25.0735384Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0735498Z - aten_name: 2023-07-07T19:59:25.0735617Z - function_overloads: 2023-07-07T19:59:25.0735735Z - onnx_args: 2023-07-07T19:59:25.0735852Z - onnx_kwargs: 2023-07-07T19:59:25.0736155Z - diagnostic_context: 2023-07-07T19:59:25.0736309Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0736544Z [2023-07-07 19:56:11,412] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0736679Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0736685Z 2023-07-07T19:59:25.0736885Z [2023-07-07 19:56:11,412] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0737075Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0737093Z 2023-07-07T19:59:25.0737261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0737535Z - self: 2023-07-07T19:59:25.0737700Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0737814Z - aten_name: 2023-07-07T19:59:25.0737949Z - function_overloads: 2023-07-07T19:59:25.0738066Z - onnx_args: 2023-07-07T19:59:25.0738180Z - onnx_kwargs: 2023-07-07T19:59:25.0738471Z - diagnostic_context: 2023-07-07T19:59:25.0738625Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0738709Z PASSED [0.6249s] [ 12%] 2023-07-07T19:59:25.0739177Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_int16 [2023-07-07 19:56:11,508] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0739312Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0739318Z 2023-07-07T19:59:25.0739520Z [2023-07-07 19:56:11,508] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0739722Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0739728Z 2023-07-07T19:59:25.0739908Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0740178Z - self: 2023-07-07T19:59:25.0740338Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0740561Z - aten_name: 2023-07-07T19:59:25.0740696Z - function_overloads: 2023-07-07T19:59:25.0740813Z - onnx_args: 2023-07-07T19:59:25.0740930Z - onnx_kwargs: 2023-07-07T19:59:25.0741236Z - diagnostic_context: 2023-07-07T19:59:25.0741380Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0741501Z XFAIL [0.0764s] [ 12%] 2023-07-07T19:59:25.0741961Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_int32 [2023-07-07 19:56:11,570] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0742097Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0742103Z 2023-07-07T19:59:25.0742300Z [2023-07-07 19:56:11,570] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0742506Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0742512Z 2023-07-07T19:59:25.0742695Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0742961Z - self: 2023-07-07T19:59:25.0743137Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0743254Z - aten_name: 2023-07-07T19:59:25.0743374Z - function_overloads: 2023-07-07T19:59:25.0743490Z - onnx_args: 2023-07-07T19:59:25.0743608Z - onnx_kwargs: 2023-07-07T19:59:25.0743913Z - diagnostic_context: 2023-07-07T19:59:25.0744058Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0744292Z [2023-07-07 19:56:11,613] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0744434Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0744440Z 2023-07-07T19:59:25.0744635Z [2023-07-07 19:56:11,613] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0744825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0744845Z 2023-07-07T19:59:25.0745017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0745287Z - self: 2023-07-07T19:59:25.0745450Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0745564Z - aten_name: 2023-07-07T19:59:25.0745694Z - function_overloads: 2023-07-07T19:59:25.0745807Z - onnx_args: 2023-07-07T19:59:25.0745921Z - onnx_kwargs: 2023-07-07T19:59:25.0746213Z - diagnostic_context: 2023-07-07T19:59:25.0746368Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0746606Z [2023-07-07 19:56:11,656] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0746741Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0746747Z 2023-07-07T19:59:25.0746943Z [2023-07-07 19:56:11,656] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0747149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0747155Z 2023-07-07T19:59:25.0747339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0747604Z - self: 2023-07-07T19:59:25.0747771Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0747873Z - aten_name: 2023-07-07T19:59:25.0748005Z - function_overloads: 2023-07-07T19:59:25.0748186Z - onnx_args: 2023-07-07T19:59:25.0748344Z - onnx_kwargs: 2023-07-07T19:59:25.0748695Z - diagnostic_context: 2023-07-07T19:59:25.0748847Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0749093Z [2023-07-07 19:56:11,699] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0749272Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0749278Z 2023-07-07T19:59:25.0749474Z [2023-07-07 19:56:11,700] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0749679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0749685Z 2023-07-07T19:59:25.0749868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0750141Z - self: 2023-07-07T19:59:25.0750313Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0750425Z - aten_name: 2023-07-07T19:59:25.0750557Z - function_overloads: 2023-07-07T19:59:25.0750661Z - onnx_args: 2023-07-07T19:59:25.0750776Z - onnx_kwargs: 2023-07-07T19:59:25.0751081Z - diagnostic_context: 2023-07-07T19:59:25.0751225Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0751459Z [2023-07-07 19:56:11,742] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0751594Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0751600Z 2023-07-07T19:59:25.0751795Z [2023-07-07 19:56:11,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0752000Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0752006Z 2023-07-07T19:59:25.0752187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0752438Z - self: 2023-07-07T19:59:25.0752601Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0752718Z - aten_name: 2023-07-07T19:59:25.0752847Z - function_overloads: 2023-07-07T19:59:25.0752963Z - onnx_args: 2023-07-07T19:59:25.0753079Z - onnx_kwargs: 2023-07-07T19:59:25.0753378Z - diagnostic_context: 2023-07-07T19:59:25.0753517Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0753751Z [2023-07-07 19:56:11,798] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0753891Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0753897Z 2023-07-07T19:59:25.0754092Z [2023-07-07 19:56:11,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0754294Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0754299Z 2023-07-07T19:59:25.0754548Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0754824Z - self: 2023-07-07T19:59:25.0754990Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0755103Z - aten_name: 2023-07-07T19:59:25.0755222Z - function_overloads: 2023-07-07T19:59:25.0755337Z - onnx_args: 2023-07-07T19:59:25.0755455Z - onnx_kwargs: 2023-07-07T19:59:25.0755825Z - diagnostic_context: 2023-07-07T19:59:25.0755980Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0756228Z [2023-07-07 19:56:11,841] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0756363Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0756368Z 2023-07-07T19:59:25.0756549Z [2023-07-07 19:56:11,841] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0756806Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0756812Z 2023-07-07T19:59:25.0756996Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0757258Z - self: 2023-07-07T19:59:25.0757433Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0757545Z - aten_name: 2023-07-07T19:59:25.0757682Z - function_overloads: 2023-07-07T19:59:25.0757798Z - onnx_args: 2023-07-07T19:59:25.0757902Z - onnx_kwargs: 2023-07-07T19:59:25.0758205Z - diagnostic_context: 2023-07-07T19:59:25.0758349Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0758585Z [2023-07-07 19:56:11,885] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0758726Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0758732Z 2023-07-07T19:59:25.0758966Z [2023-07-07 19:56:11,885] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0759250Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0759258Z 2023-07-07T19:59:25.0759503Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0759901Z - self: 2023-07-07T19:59:25.0760150Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0760331Z - aten_name: 2023-07-07T19:59:25.0760559Z - function_overloads: 2023-07-07T19:59:25.0760750Z - onnx_args: 2023-07-07T19:59:25.0760938Z - onnx_kwargs: 2023-07-07T19:59:25.0761435Z - diagnostic_context: 2023-07-07T19:59:25.0761715Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0762137Z [2023-07-07 19:56:11,928] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0762364Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0762373Z 2023-07-07T19:59:25.0762704Z [2023-07-07 19:56:11,928] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0763074Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0763085Z 2023-07-07T19:59:25.0763381Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0763832Z - self: 2023-07-07T19:59:25.0764102Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0764279Z - aten_name: 2023-07-07T19:59:25.0764603Z - function_overloads: 2023-07-07T19:59:25.0764787Z - onnx_args: 2023-07-07T19:59:25.0765005Z - onnx_kwargs: 2023-07-07T19:59:25.0765555Z - diagnostic_context: 2023-07-07T19:59:25.0765847Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0766266Z [2023-07-07 19:56:11,972] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0766677Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0766691Z 2023-07-07T19:59:25.0767052Z [2023-07-07 19:56:11,972] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0767396Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0767407Z 2023-07-07T19:59:25.0767795Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0768265Z - self: 2023-07-07T19:59:25.0768535Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0768729Z - aten_name: 2023-07-07T19:59:25.0768945Z - function_overloads: 2023-07-07T19:59:25.0769132Z - onnx_args: 2023-07-07T19:59:25.0769317Z - onnx_kwargs: 2023-07-07T19:59:25.0769808Z - diagnostic_context: 2023-07-07T19:59:25.0769980Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0770222Z [2023-07-07 19:56:12,015] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0770362Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0770370Z 2023-07-07T19:59:25.0770573Z [2023-07-07 19:56:12,016] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0770776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0770782Z 2023-07-07T19:59:25.0770970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0771240Z - self: 2023-07-07T19:59:25.0771405Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0771505Z - aten_name: 2023-07-07T19:59:25.0771642Z - function_overloads: 2023-07-07T19:59:25.0771758Z - onnx_args: 2023-07-07T19:59:25.0771871Z - onnx_kwargs: 2023-07-07T19:59:25.0772176Z - diagnostic_context: 2023-07-07T19:59:25.0772330Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0772571Z [2023-07-07 19:56:12,075] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0772710Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0772717Z 2023-07-07T19:59:25.0772902Z [2023-07-07 19:56:12,075] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0773105Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0773112Z 2023-07-07T19:59:25.0773298Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0773570Z - self: 2023-07-07T19:59:25.0773732Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0773850Z - aten_name: 2023-07-07T19:59:25.0773981Z - function_overloads: 2023-07-07T19:59:25.0774096Z - onnx_args: 2023-07-07T19:59:25.0774217Z - onnx_kwargs: 2023-07-07T19:59:25.0774522Z - diagnostic_context: 2023-07-07T19:59:25.0774663Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0774900Z [2023-07-07 19:56:12,143] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0775038Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0775044Z 2023-07-07T19:59:25.0775238Z [2023-07-07 19:56:12,143] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0775542Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0775549Z 2023-07-07T19:59:25.0775736Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0776003Z - self: 2023-07-07T19:59:25.0776231Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0776345Z - aten_name: 2023-07-07T19:59:25.0776464Z - function_overloads: 2023-07-07T19:59:25.0776580Z - onnx_args: 2023-07-07T19:59:25.0776697Z - onnx_kwargs: 2023-07-07T19:59:25.0776999Z - diagnostic_context: 2023-07-07T19:59:25.0777151Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0777231Z PASSED [0.6352s] [ 13%] 2023-07-07T19:59:25.0777704Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_int64 [2023-07-07 19:56:12,191] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0777824Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0777843Z 2023-07-07T19:59:25.0778026Z [2023-07-07 19:56:12,191] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0778234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0778240Z 2023-07-07T19:59:25.0778423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0778689Z - self: 2023-07-07T19:59:25.0778863Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0778977Z - aten_name: 2023-07-07T19:59:25.0779107Z - function_overloads: 2023-07-07T19:59:25.0779225Z - onnx_args: 2023-07-07T19:59:25.0779329Z - onnx_kwargs: 2023-07-07T19:59:25.0779632Z - diagnostic_context: 2023-07-07T19:59:25.0779775Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0780012Z [2023-07-07 19:56:12,234] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0780152Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0780158Z 2023-07-07T19:59:25.0780353Z [2023-07-07 19:56:12,234] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0780556Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0780562Z 2023-07-07T19:59:25.0780746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0781002Z - self: 2023-07-07T19:59:25.0781167Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0781278Z - aten_name: 2023-07-07T19:59:25.0781409Z - function_overloads: 2023-07-07T19:59:25.0781523Z - onnx_args: 2023-07-07T19:59:25.0781639Z - onnx_kwargs: 2023-07-07T19:59:25.0781946Z - diagnostic_context: 2023-07-07T19:59:25.0782085Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0782321Z [2023-07-07 19:56:12,277] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0782457Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0782463Z 2023-07-07T19:59:25.0782657Z [2023-07-07 19:56:12,277] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0782914Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0782920Z 2023-07-07T19:59:25.0783105Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0783373Z - self: 2023-07-07T19:59:25.0783536Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0783701Z - aten_name: 2023-07-07T19:59:25.0783820Z - function_overloads: 2023-07-07T19:59:25.0783934Z - onnx_args: 2023-07-07T19:59:25.0784049Z - onnx_kwargs: 2023-07-07T19:59:25.0784352Z - diagnostic_context: 2023-07-07T19:59:25.0784503Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0784747Z [2023-07-07 19:56:12,319] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0784883Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0784889Z 2023-07-07T19:59:25.0785083Z [2023-07-07 19:56:12,319] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0785269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0785287Z 2023-07-07T19:59:25.0785457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0785728Z - self: 2023-07-07T19:59:25.0785900Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0786012Z - aten_name: 2023-07-07T19:59:25.0786143Z - function_overloads: 2023-07-07T19:59:25.0786258Z - onnx_args: 2023-07-07T19:59:25.0786372Z - onnx_kwargs: 2023-07-07T19:59:25.0786664Z - diagnostic_context: 2023-07-07T19:59:25.0786809Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0787041Z [2023-07-07 19:56:12,362] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0787176Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0787182Z 2023-07-07T19:59:25.0787378Z [2023-07-07 19:56:12,362] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0787583Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0787589Z 2023-07-07T19:59:25.0787773Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0788039Z - self: 2023-07-07T19:59:25.0788200Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0788300Z - aten_name: 2023-07-07T19:59:25.0788433Z - function_overloads: 2023-07-07T19:59:25.0788548Z - onnx_args: 2023-07-07T19:59:25.0788663Z - onnx_kwargs: 2023-07-07T19:59:25.0788965Z - diagnostic_context: 2023-07-07T19:59:25.0789116Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0789349Z [2023-07-07 19:56:12,439] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0789478Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0789484Z 2023-07-07T19:59:25.0789679Z [2023-07-07 19:56:12,440] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0789878Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0789884Z 2023-07-07T19:59:25.0790064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0790388Z - self: 2023-07-07T19:59:25.0790553Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0790665Z - aten_name: 2023-07-07T19:59:25.0790796Z - function_overloads: 2023-07-07T19:59:25.0790898Z - onnx_args: 2023-07-07T19:59:25.0791012Z - onnx_kwargs: 2023-07-07T19:59:25.0791372Z - diagnostic_context: 2023-07-07T19:59:25.0791523Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0791765Z [2023-07-07 19:56:12,516] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0791896Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0791902Z 2023-07-07T19:59:25.0792094Z [2023-07-07 19:56:12,516] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0792298Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0792304Z 2023-07-07T19:59:25.0792487Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0792739Z - self: 2023-07-07T19:59:25.0792912Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0793028Z - aten_name: 2023-07-07T19:59:25.0793158Z - function_overloads: 2023-07-07T19:59:25.0793272Z - onnx_args: 2023-07-07T19:59:25.0793386Z - onnx_kwargs: 2023-07-07T19:59:25.0793688Z - diagnostic_context: 2023-07-07T19:59:25.0793818Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0794052Z [2023-07-07 19:56:12,589] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0794193Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0794198Z 2023-07-07T19:59:25.0794393Z [2023-07-07 19:56:12,589] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0794677Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0794683Z 2023-07-07T19:59:25.0794871Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0795138Z - self: 2023-07-07T19:59:25.0795301Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0795413Z - aten_name: 2023-07-07T19:59:25.0795531Z - function_overloads: 2023-07-07T19:59:25.0795645Z - onnx_args: 2023-07-07T19:59:25.0795760Z - onnx_kwargs: 2023-07-07T19:59:25.0796068Z - diagnostic_context: 2023-07-07T19:59:25.0796220Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0796455Z [2023-07-07 19:56:12,663] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0796591Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0796597Z 2023-07-07T19:59:25.0796778Z [2023-07-07 19:56:12,663] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0796984Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0796990Z 2023-07-07T19:59:25.0797175Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0797437Z - self: 2023-07-07T19:59:25.0797601Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0797715Z - aten_name: 2023-07-07T19:59:25.0797917Z - function_overloads: 2023-07-07T19:59:25.0798034Z - onnx_args: 2023-07-07T19:59:25.0798137Z - onnx_kwargs: 2023-07-07T19:59:25.0798439Z - diagnostic_context: 2023-07-07T19:59:25.0798590Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0798895Z [2023-07-07 19:56:12,753] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0799027Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0799032Z 2023-07-07T19:59:25.0799224Z [2023-07-07 19:56:12,753] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0799426Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0799432Z 2023-07-07T19:59:25.0799614Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0799883Z - self: 2023-07-07T19:59:25.0800045Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0800157Z - aten_name: 2023-07-07T19:59:25.0800286Z - function_overloads: 2023-07-07T19:59:25.0800400Z - onnx_args: 2023-07-07T19:59:25.0800520Z - onnx_kwargs: 2023-07-07T19:59:25.0800823Z - diagnostic_context: 2023-07-07T19:59:25.0800965Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0801186Z [2023-07-07 19:56:12,831] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0801322Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0801329Z 2023-07-07T19:59:25.0801524Z [2023-07-07 19:56:12,831] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0801729Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0801735Z 2023-07-07T19:59:25.0801918Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0802188Z - self: 2023-07-07T19:59:25.0802354Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0802466Z - aten_name: 2023-07-07T19:59:25.0802596Z - function_overloads: 2023-07-07T19:59:25.0802699Z - onnx_args: 2023-07-07T19:59:25.0802814Z - onnx_kwargs: 2023-07-07T19:59:25.0803115Z - diagnostic_context: 2023-07-07T19:59:25.0803266Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0803500Z [2023-07-07 19:56:12,893] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0803643Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0803649Z 2023-07-07T19:59:25.0803843Z [2023-07-07 19:56:12,893] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0804043Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0804053Z 2023-07-07T19:59:25.0804223Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0804666Z - self: 2023-07-07T19:59:25.0804840Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0804953Z - aten_name: 2023-07-07T19:59:25.0805084Z - function_overloads: 2023-07-07T19:59:25.0805201Z - onnx_args: 2023-07-07T19:59:25.0805317Z - onnx_kwargs: 2023-07-07T19:59:25.0805754Z - diagnostic_context: 2023-07-07T19:59:25.0805895Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0806130Z [2023-07-07 19:56:12,958] torch.onnx: [WARNING] FX Node: call_function:aten.any.dim[name=any_1]. 2023-07-07T19:59:25.0806266Z ONNX Node: aten_any_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0806272Z 2023-07-07T19:59:25.0806536Z [2023-07-07 19:56:12,958] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0806738Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0806745Z 2023-07-07T19:59:25.0806926Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0807191Z - self: 2023-07-07T19:59:25.0807354Z - node: fx.Node(any_1[call_function]'aten.any.dim') 2023-07-07T19:59:25.0807454Z - aten_name: 2023-07-07T19:59:25.0807588Z - function_overloads: 2023-07-07T19:59:25.0807702Z - onnx_args: 2023-07-07T19:59:25.0807818Z - onnx_kwargs: 2023-07-07T19:59:25.0808121Z - diagnostic_context: 2023-07-07T19:59:25.0808273Z - Return value: `OnnxFunction(aten_any_dim)` 2023-07-07T19:59:25.0808355Z PASSED [0.8112s] [ 13%] 2023-07-07T19:59:25.0808818Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_int8 [2023-07-07 19:56:13,024] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0808940Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0808946Z 2023-07-07T19:59:25.0809142Z [2023-07-07 19:56:13,024] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0809348Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0809354Z 2023-07-07T19:59:25.0809534Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0809799Z - self: 2023-07-07T19:59:25.0809972Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0810089Z - aten_name: 2023-07-07T19:59:25.0810220Z - function_overloads: 2023-07-07T19:59:25.0810323Z - onnx_args: 2023-07-07T19:59:25.0810437Z - onnx_kwargs: 2023-07-07T19:59:25.0810738Z - diagnostic_context: 2023-07-07T19:59:25.0810879Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0810954Z XFAIL [0.0610s] [ 13%] 2023-07-07T19:59:25.0811421Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_any_cpu_uint8 [2023-07-07 19:56:13,085] torch.onnx: [WARNING] FX Node: call_function:aten.any.default[name=any_1]. 2023-07-07T19:59:25.0811553Z ONNX Node: aten_any[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0811559Z 2023-07-07T19:59:25.0811753Z [2023-07-07 19:56:13,086] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0811954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0811965Z 2023-07-07T19:59:25.0812134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0812400Z - self: 2023-07-07T19:59:25.0812573Z - node: fx.Node(any_1[call_function]'aten.any.default') 2023-07-07T19:59:25.0812686Z - aten_name: 2023-07-07T19:59:25.0812817Z - function_overloads: 2023-07-07T19:59:25.0812932Z - onnx_args: 2023-07-07T19:59:25.0813109Z - onnx_kwargs: 2023-07-07T19:59:25.0813401Z - diagnostic_context: 2023-07-07T19:59:25.0813544Z - Return value: `OnnxFunction(aten_any)` 2023-07-07T19:59:25.0813616Z XFAIL [0.0577s] [ 13%] 2023-07-07T19:59:25.0814098Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_arange_cpu_float16 [2023-07-07 19:56:13,217] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0814302Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0814308Z 2023-07-07T19:59:25.0814506Z [2023-07-07 19:56:13,217] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0814707Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0814712Z 2023-07-07T19:59:25.0814898Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0815165Z - self: 2023-07-07T19:59:25.0815356Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0815456Z - aten_name: 2023-07-07T19:59:25.0815586Z - function_overloads: 2023-07-07T19:59:25.0815702Z - onnx_args: 2023-07-07T19:59:25.0815823Z - onnx_kwargs: 2023-07-07T19:59:25.0816126Z - diagnostic_context: 2023-07-07T19:59:25.0816337Z - Return value: 2023-07-07T19:59:25.0816589Z [2023-07-07 19:56:14,395] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange]. 2023-07-07T19:59:25.0816714Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0816719Z 2023-07-07T19:59:25.0816918Z [2023-07-07 19:56:14,395] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0817119Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0817124Z 2023-07-07T19:59:25.0817307Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0817571Z - self: 2023-07-07T19:59:25.0817761Z - node: fx.Node(arange[call_function]'aten.arange.default') 2023-07-07T19:59:25.0817875Z - aten_name: 2023-07-07T19:59:25.0818005Z - function_overloads: 2023-07-07T19:59:25.0818107Z - onnx_args: 2023-07-07T19:59:25.0818221Z - onnx_kwargs: 2023-07-07T19:59:25.0818522Z - diagnostic_context: 2023-07-07T19:59:25.0818733Z - Return value: 2023-07-07T19:59:25.0819087Z 2023-07-07 19:56:14.398099894 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0819437Z 2023-07-07 19:56:14.398128931 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0819775Z 2023-07-07 19:56:14.398212257 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0820121Z 2023-07-07 19:56:14.398222959 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0820460Z 2023-07-07 19:56:14.398293805 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0820850Z 2023-07-07 19:56:14.398303854 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0821181Z 2023-07-07 19:56:14.398372067 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0821517Z 2023-07-07 19:56:14.398382005 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0821909Z 2023-07-07 19:56:14.398450423 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0822248Z 2023-07-07 19:56:14.398460414 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0822588Z 2023-07-07 19:56:14.398527956 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0822921Z 2023-07-07 19:56:14.398537842 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0823259Z 2023-07-07 19:56:14.398606316 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0823600Z 2023-07-07 19:56:14.398616278 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0823931Z 2023-07-07 19:56:14.398684239 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0824279Z 2023-07-07 19:56:14.398694319 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0824614Z 2023-07-07 19:56:14.398768153 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0824947Z 2023-07-07 19:56:14.398778110 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0825291Z 2023-07-07 19:56:14.398846940 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0825614Z 2023-07-07 19:56:14.398856807 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0825871Z [2023-07-07 19:56:14,436] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0826026Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0826032Z 2023-07-07T19:59:25.0826228Z [2023-07-07 19:56:14,436] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0826431Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0826437Z 2023-07-07T19:59:25.0826620Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0826896Z - self: 2023-07-07T19:59:25.0827086Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0827199Z - aten_name: 2023-07-07T19:59:25.0827318Z - function_overloads: 2023-07-07T19:59:25.0827434Z - onnx_args: 2023-07-07T19:59:25.0827550Z - onnx_kwargs: 2023-07-07T19:59:25.0827856Z - diagnostic_context: 2023-07-07T19:59:25.0828149Z - Return value: 2023-07-07T19:59:25.0828271Z PASSED [1.3476s] [ 13%] 2023-07-07T19:59:25.0829018Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_arange_cpu_float32 [2023-07-07 19:56:14,558] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0829313Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0829323Z 2023-07-07T19:59:25.0829609Z [2023-07-07 19:56:14,558] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0829915Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0829924Z 2023-07-07T19:59:25.0830198Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0830609Z - self: 2023-07-07T19:59:25.0830901Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0831075Z - aten_name: 2023-07-07T19:59:25.0831277Z - function_overloads: 2023-07-07T19:59:25.0831452Z - onnx_args: 2023-07-07T19:59:25.0831617Z - onnx_kwargs: 2023-07-07T19:59:25.0832081Z - diagnostic_context: 2023-07-07T19:59:25.0832406Z - Return value: 2023-07-07T19:59:25.0832800Z [2023-07-07 19:56:15,686] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange]. 2023-07-07T19:59:25.0833002Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0833011Z 2023-07-07T19:59:25.0833309Z [2023-07-07 19:56:15,687] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0833616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0833625Z 2023-07-07T19:59:25.0833901Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0834308Z - self: 2023-07-07T19:59:25.0834651Z - node: fx.Node(arange[call_function]'aten.arange.default') 2023-07-07T19:59:25.0834832Z - aten_name: 2023-07-07T19:59:25.0835030Z - function_overloads: 2023-07-07T19:59:25.0835208Z - onnx_args: 2023-07-07T19:59:25.0835386Z - onnx_kwargs: 2023-07-07T19:59:25.0835848Z - diagnostic_context: 2023-07-07T19:59:25.0836168Z - Return value: 2023-07-07T19:59:25.0836711Z 2023-07-07 19:56:15.689796014 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0837236Z 2023-07-07 19:56:15.689824730 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0837771Z 2023-07-07 19:56:15.689908730 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0838308Z 2023-07-07 19:56:15.689919481 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0838841Z 2023-07-07 19:56:15.690004436 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0839374Z 2023-07-07 19:56:15.690014426 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0839970Z 2023-07-07 19:56:15.690085041 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0840503Z 2023-07-07 19:56:15.690094903 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0841089Z 2023-07-07 19:56:15.690164528 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0841607Z 2023-07-07 19:56:15.690174487 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0842132Z 2023-07-07 19:56:15.690244128 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0842668Z 2023-07-07 19:56:15.690254002 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0843197Z 2023-07-07 19:56:15.690322436 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0843713Z 2023-07-07 19:56:15.690332544 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0844248Z 2023-07-07 19:56:15.690401247 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0844936Z 2023-07-07 19:56:15.690411091 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0845484Z 2023-07-07 19:56:15.690478025 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0846013Z 2023-07-07 19:56:15.690487844 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0846539Z 2023-07-07 19:56:15.690556860 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0847074Z 2023-07-07 19:56:15.690566648 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0847472Z [2023-07-07 19:56:15,727] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0847700Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0847710Z 2023-07-07T19:59:25.0848013Z [2023-07-07 19:56:15,727] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0848319Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0848327Z 2023-07-07T19:59:25.0848588Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0848998Z - self: 2023-07-07T19:59:25.0849295Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0849465Z - aten_name: 2023-07-07T19:59:25.0849650Z - function_overloads: 2023-07-07T19:59:25.0849830Z - onnx_args: 2023-07-07T19:59:25.0850020Z - onnx_kwargs: 2023-07-07T19:59:25.0850480Z - diagnostic_context: 2023-07-07T19:59:25.0850736Z - Return value: 2023-07-07T19:59:25.0850936Z PASSED [1.2893s] [ 14%] 2023-07-07T19:59:25.0851431Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_arange_cpu_int16 [2023-07-07 19:56:15,869] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0851586Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0851668Z 2023-07-07T19:59:25.0851868Z [2023-07-07 19:56:15,869] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0852070Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0852077Z 2023-07-07T19:59:25.0852260Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0852529Z - self: 2023-07-07T19:59:25.0852721Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0852826Z - aten_name: 2023-07-07T19:59:25.0852959Z - function_overloads: 2023-07-07T19:59:25.0853076Z - onnx_args: 2023-07-07T19:59:25.0853192Z - onnx_kwargs: 2023-07-07T19:59:25.0853498Z - diagnostic_context: 2023-07-07T19:59:25.0853713Z - Return value: 2023-07-07T19:59:25.0853788Z XFAIL [0.5891s] [ 14%] 2023-07-07T19:59:25.0854253Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_arange_cpu_int32 [2023-07-07 19:56:16,500] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0854407Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0854413Z 2023-07-07T19:59:25.0854612Z [2023-07-07 19:56:16,500] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0854817Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0854824Z 2023-07-07T19:59:25.0855007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0855275Z - self: 2023-07-07T19:59:25.0855468Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0855583Z - aten_name: 2023-07-07T19:59:25.0855717Z - function_overloads: 2023-07-07T19:59:25.0855820Z - onnx_args: 2023-07-07T19:59:25.0855937Z - onnx_kwargs: 2023-07-07T19:59:25.0856244Z - diagnostic_context: 2023-07-07T19:59:25.0856455Z - Return value: 2023-07-07T19:59:25.0856822Z 2023-07-07 19:56:16.937512591 [W:onnxruntime:, graph.cc:108 MergeShapeInfo] Error merging shape info for output. 'arange' source:{2} target:{3}. Falling back to lenient merge. 2023-07-07T19:59:25.0856898Z XFAIL [0.6148s] [ 14%] 2023-07-07T19:59:25.0857370Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_arange_cpu_int64 [2023-07-07 19:56:17,150] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0857524Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0857530Z 2023-07-07T19:59:25.0857727Z [2023-07-07 19:56:17,150] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0857915Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0857933Z 2023-07-07T19:59:25.0858103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0858437Z - self: 2023-07-07T19:59:25.0858631Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0858744Z - aten_name: 2023-07-07T19:59:25.0858875Z - function_overloads: 2023-07-07T19:59:25.0858991Z - onnx_args: 2023-07-07T19:59:25.0859106Z - onnx_kwargs: 2023-07-07T19:59:25.0859454Z - diagnostic_context: 2023-07-07T19:59:25.0859667Z - Return value: 2023-07-07T19:59:25.0859923Z [2023-07-07 19:56:18,461] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange]. 2023-07-07T19:59:25.0860061Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0860067Z 2023-07-07T19:59:25.0860263Z [2023-07-07 19:56:18,461] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0860468Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0860474Z 2023-07-07T19:59:25.0860658Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0860923Z - self: 2023-07-07T19:59:25.0861109Z - node: fx.Node(arange[call_function]'aten.arange.default') 2023-07-07T19:59:25.0861215Z - aten_name: 2023-07-07T19:59:25.0861346Z - function_overloads: 2023-07-07T19:59:25.0861462Z - onnx_args: 2023-07-07T19:59:25.0861579Z - onnx_kwargs: 2023-07-07T19:59:25.0861883Z - diagnostic_context: 2023-07-07T19:59:25.0862093Z - Return value: 2023-07-07T19:59:25.0862444Z 2023-07-07 19:56:18.464893248 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0862792Z 2023-07-07 19:56:18.464920085 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0863123Z 2023-07-07 19:56:18.465013022 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0863463Z 2023-07-07 19:56:18.465032375 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0863804Z 2023-07-07 19:56:18.465110754 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0864145Z 2023-07-07 19:56:18.465121824 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0864478Z 2023-07-07 19:56:18.465199252 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0864819Z 2023-07-07 19:56:18.465210248 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0865159Z 2023-07-07 19:56:18.465286387 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0865490Z 2023-07-07 19:56:18.465297309 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0865830Z 2023-07-07 19:56:18.465372864 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0866222Z 2023-07-07 19:56:18.465383676 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0866557Z 2023-07-07 19:56:18.465458753 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0866997Z 2023-07-07 19:56:18.465469919 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0867321Z 2023-07-07 19:56:18.465545412 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0867656Z 2023-07-07 19:56:18.465556405 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0867998Z 2023-07-07 19:56:18.465630040 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0868334Z 2023-07-07 19:56:18.465641454 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0868665Z 2023-07-07 19:56:18.465716884 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T19:59:25.0869007Z 2023-07-07 19:56:18.465727846 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T19:59:25.0869267Z [2023-07-07 19:56:18,516] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0869418Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0869424Z 2023-07-07T19:59:25.0869626Z [2023-07-07 19:56:18,516] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0869831Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0869837Z 2023-07-07T19:59:25.0870021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0870278Z - self: 2023-07-07T19:59:25.0870474Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0870587Z - aten_name: 2023-07-07T19:59:25.0870718Z - function_overloads: 2023-07-07T19:59:25.0870834Z - onnx_args: 2023-07-07T19:59:25.0870952Z - onnx_kwargs: 2023-07-07T19:59:25.0871255Z - diagnostic_context: 2023-07-07T19:59:25.0871466Z - Return value: 2023-07-07T19:59:25.0871536Z PASSED [1.5787s] [ 14%] 2023-07-07T19:59:25.0872009Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_arange_cpu_int8 [2023-07-07 19:56:18,721] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0872162Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0872172Z 2023-07-07T19:59:25.0872370Z [2023-07-07 19:56:18,722] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0872571Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0872578Z 2023-07-07T19:59:25.0872760Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0873027Z - self: 2023-07-07T19:59:25.0873277Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0873392Z - aten_name: 2023-07-07T19:59:25.0873512Z - function_overloads: 2023-07-07T19:59:25.0873626Z - onnx_args: 2023-07-07T19:59:25.0873743Z - onnx_kwargs: 2023-07-07T19:59:25.0874049Z - diagnostic_context: 2023-07-07T19:59:25.0874310Z - Return value: 2023-07-07T19:59:25.0874384Z XFAIL [0.7073s] [ 14%] 2023-07-07T19:59:25.0874934Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_arange_cpu_uint8 [2023-07-07 19:56:19,346] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start_step[name=arange]. 2023-07-07T19:59:25.0875074Z ONNX Node: aten_arange_start_step[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0875092Z 2023-07-07T19:59:25.0875279Z [2023-07-07 19:56:19,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0875486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0875492Z 2023-07-07T19:59:25.0875676Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0875946Z - self: 2023-07-07T19:59:25.0876140Z - node: fx.Node(arange[call_function]'aten.arange.start_step') 2023-07-07T19:59:25.0876253Z - aten_name: 2023-07-07T19:59:25.0876387Z - function_overloads: 2023-07-07T19:59:25.0876503Z - onnx_args: 2023-07-07T19:59:25.0876606Z - onnx_kwargs: 2023-07-07T19:59:25.0876909Z - diagnostic_context: 2023-07-07T19:59:25.0877120Z - Return value: 2023-07-07T19:59:25.0877194Z XFAIL [0.9415s] [ 14%] 2023-07-07T19:59:25.0877675Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmax_cpu_float16 [2023-07-07 19:56:20,290] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0877814Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0877820Z 2023-07-07T19:59:25.0878019Z [2023-07-07 19:56:20,290] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0878227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0878234Z 2023-07-07T19:59:25.0878416Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0878671Z - self: 2023-07-07T19:59:25.0878856Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0878969Z - aten_name: 2023-07-07T19:59:25.0879103Z - function_overloads: 2023-07-07T19:59:25.0879219Z - onnx_args: 2023-07-07T19:59:25.0879334Z - onnx_kwargs: 2023-07-07T19:59:25.0879639Z - diagnostic_context: 2023-07-07T19:59:25.0879836Z - Return value: 2023-07-07T19:59:25.0880099Z [2023-07-07 19:56:20,344] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0880235Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0880241Z 2023-07-07T19:59:25.0880440Z [2023-07-07 19:56:20,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0880639Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0880645Z 2023-07-07T19:59:25.0880889Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0881157Z - self: 2023-07-07T19:59:25.0881342Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0881456Z - aten_name: 2023-07-07T19:59:25.0881574Z - function_overloads: 2023-07-07T19:59:25.0881687Z - onnx_args: 2023-07-07T19:59:25.0881866Z - onnx_kwargs: 2023-07-07T19:59:25.0882166Z - diagnostic_context: 2023-07-07T19:59:25.0882378Z - Return value: 2023-07-07T19:59:25.0882632Z [2023-07-07 19:56:20,455] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0882770Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0882776Z 2023-07-07T19:59:25.0882976Z [2023-07-07 19:56:20,455] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0883166Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0883171Z 2023-07-07T19:59:25.0883356Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0883623Z - self: 2023-07-07T19:59:25.0883812Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0883926Z - aten_name: 2023-07-07T19:59:25.0884058Z - function_overloads: 2023-07-07T19:59:25.0884173Z - onnx_args: 2023-07-07T19:59:25.0884288Z - onnx_kwargs: 2023-07-07T19:59:25.0884745Z - diagnostic_context: 2023-07-07T19:59:25.0884963Z - Return value: 2023-07-07T19:59:25.0885221Z [2023-07-07 19:56:20,511] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0885359Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0885365Z 2023-07-07T19:59:25.0885563Z [2023-07-07 19:56:20,511] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0885766Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0885776Z 2023-07-07T19:59:25.0885958Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0886226Z - self: 2023-07-07T19:59:25.0886411Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0886512Z - aten_name: 2023-07-07T19:59:25.0886644Z - function_overloads: 2023-07-07T19:59:25.0886759Z - onnx_args: 2023-07-07T19:59:25.0886881Z - onnx_kwargs: 2023-07-07T19:59:25.0887187Z - diagnostic_context: 2023-07-07T19:59:25.0887399Z - Return value: 2023-07-07T19:59:25.0887653Z [2023-07-07 19:56:20,601] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0887781Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0887786Z 2023-07-07T19:59:25.0887984Z [2023-07-07 19:56:20,601] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0888187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0888193Z 2023-07-07T19:59:25.0888376Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0888642Z - self: 2023-07-07T19:59:25.0888911Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0889030Z - aten_name: 2023-07-07T19:59:25.0889163Z - function_overloads: 2023-07-07T19:59:25.0889267Z - onnx_args: 2023-07-07T19:59:25.0889384Z - onnx_kwargs: 2023-07-07T19:59:25.0889685Z - diagnostic_context: 2023-07-07T19:59:25.0889971Z - Return value: 2023-07-07T19:59:25.0890225Z [2023-07-07 19:56:20,641] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0890364Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0890371Z 2023-07-07T19:59:25.0890570Z [2023-07-07 19:56:20,641] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0890775Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0890781Z 2023-07-07T19:59:25.0890962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0891216Z - self: 2023-07-07T19:59:25.0891401Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0891518Z - aten_name: 2023-07-07T19:59:25.0891652Z - function_overloads: 2023-07-07T19:59:25.0891768Z - onnx_args: 2023-07-07T19:59:25.0891885Z - onnx_kwargs: 2023-07-07T19:59:25.0892190Z - diagnostic_context: 2023-07-07T19:59:25.0892389Z - Return value: 2023-07-07T19:59:25.0892644Z [2023-07-07 19:56:20,746] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0892785Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0892791Z 2023-07-07T19:59:25.0892986Z [2023-07-07 19:56:20,746] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0893186Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0893193Z 2023-07-07T19:59:25.0893377Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0893646Z - self: 2023-07-07T19:59:25.0893829Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0893940Z - aten_name: 2023-07-07T19:59:25.0894059Z - function_overloads: 2023-07-07T19:59:25.0894173Z - onnx_args: 2023-07-07T19:59:25.0894288Z - onnx_kwargs: 2023-07-07T19:59:25.0894593Z - diagnostic_context: 2023-07-07T19:59:25.0894804Z - Return value: 2023-07-07T19:59:25.0895059Z [2023-07-07 19:56:20,794] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0895195Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0895201Z 2023-07-07T19:59:25.0895403Z [2023-07-07 19:56:20,794] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0895590Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0895609Z 2023-07-07T19:59:25.0895779Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0896049Z - self: 2023-07-07T19:59:25.0896234Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0896348Z - aten_name: 2023-07-07T19:59:25.0896533Z - function_overloads: 2023-07-07T19:59:25.0896652Z - onnx_args: 2023-07-07T19:59:25.0896768Z - onnx_kwargs: 2023-07-07T19:59:25.0897058Z - diagnostic_context: 2023-07-07T19:59:25.0897271Z - Return value: 2023-07-07T19:59:25.0897575Z [2023-07-07 19:56:20,835] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0897712Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0897718Z 2023-07-07T19:59:25.0897916Z [2023-07-07 19:56:20,835] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0898117Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0898122Z 2023-07-07T19:59:25.0898310Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0898577Z - self: 2023-07-07T19:59:25.0898762Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0898862Z - aten_name: 2023-07-07T19:59:25.0898992Z - function_overloads: 2023-07-07T19:59:25.0899112Z - onnx_args: 2023-07-07T19:59:25.0899228Z - onnx_kwargs: 2023-07-07T19:59:25.0899530Z - diagnostic_context: 2023-07-07T19:59:25.0899738Z - Return value: 2023-07-07T19:59:25.0899816Z PASSED [0.6646s] [ 15%] 2023-07-07T19:59:25.0900285Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmax_cpu_float32 [2023-07-07 19:56:20,916] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0900426Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0900432Z 2023-07-07T19:59:25.0900629Z [2023-07-07 19:56:20,917] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0900830Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0900836Z 2023-07-07T19:59:25.0901025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0901290Z - self: 2023-07-07T19:59:25.0901475Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0901589Z - aten_name: 2023-07-07T19:59:25.0901720Z - function_overloads: 2023-07-07T19:59:25.0901822Z - onnx_args: 2023-07-07T19:59:25.0901938Z - onnx_kwargs: 2023-07-07T19:59:25.0902244Z - diagnostic_context: 2023-07-07T19:59:25.0902455Z - Return value: 2023-07-07T19:59:25.0902710Z [2023-07-07 19:56:20,956] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0902847Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0902857Z 2023-07-07T19:59:25.0903055Z [2023-07-07 19:56:20,956] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0903257Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0903262Z 2023-07-07T19:59:25.0903433Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0903701Z - self: 2023-07-07T19:59:25.0903885Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0904056Z - aten_name: 2023-07-07T19:59:25.0904190Z - function_overloads: 2023-07-07T19:59:25.0904306Z - onnx_args: 2023-07-07T19:59:25.0904424Z - onnx_kwargs: 2023-07-07T19:59:25.0904728Z - diagnostic_context: 2023-07-07T19:59:25.0904926Z - Return value: 2023-07-07T19:59:25.0905234Z [2023-07-07 19:56:21,037] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0905431Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0905439Z 2023-07-07T19:59:25.0905739Z [2023-07-07 19:56:21,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0906042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0906050Z 2023-07-07T19:59:25.0906331Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0906734Z - self: 2023-07-07T19:59:25.0907015Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0907185Z - aten_name: 2023-07-07T19:59:25.0907371Z - function_overloads: 2023-07-07T19:59:25.0907549Z - onnx_args: 2023-07-07T19:59:25.0907725Z - onnx_kwargs: 2023-07-07T19:59:25.0908187Z - diagnostic_context: 2023-07-07T19:59:25.0908506Z - Return value: 2023-07-07T19:59:25.0908893Z [2023-07-07 19:56:21,077] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0909095Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0909104Z 2023-07-07T19:59:25.0909391Z [2023-07-07 19:56:21,077] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0909694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0909702Z 2023-07-07T19:59:25.0909974Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0910382Z - self: 2023-07-07T19:59:25.0910665Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0910838Z - aten_name: 2023-07-07T19:59:25.0911036Z - function_overloads: 2023-07-07T19:59:25.0911207Z - onnx_args: 2023-07-07T19:59:25.0911371Z - onnx_kwargs: 2023-07-07T19:59:25.0911828Z - diagnostic_context: 2023-07-07T19:59:25.0912147Z - Return value: 2023-07-07T19:59:25.0912534Z [2023-07-07 19:56:21,160] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0912736Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0912744Z 2023-07-07T19:59:25.0913044Z [2023-07-07 19:56:21,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0913352Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0913360Z 2023-07-07T19:59:25.0913633Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0914036Z - self: 2023-07-07T19:59:25.0914303Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0914532Z - aten_name: 2023-07-07T19:59:25.0914735Z - function_overloads: 2023-07-07T19:59:25.0915040Z - onnx_args: 2023-07-07T19:59:25.0915221Z - onnx_kwargs: 2023-07-07T19:59:25.0915681Z - diagnostic_context: 2023-07-07T19:59:25.0915998Z - Return value: 2023-07-07T19:59:25.0916386Z [2023-07-07 19:56:21,218] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0916641Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0916649Z 2023-07-07T19:59:25.0916949Z [2023-07-07 19:56:21,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0917251Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0917259Z 2023-07-07T19:59:25.0917534Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0917946Z - self: 2023-07-07T19:59:25.0918228Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0918396Z - aten_name: 2023-07-07T19:59:25.0918594Z - function_overloads: 2023-07-07T19:59:25.0918753Z - onnx_args: 2023-07-07T19:59:25.0918929Z - onnx_kwargs: 2023-07-07T19:59:25.0919386Z - diagnostic_context: 2023-07-07T19:59:25.0919691Z - Return value: 2023-07-07T19:59:25.0920084Z [2023-07-07 19:56:21,335] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0920223Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0920229Z 2023-07-07T19:59:25.0920428Z [2023-07-07 19:56:21,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0920635Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0920641Z 2023-07-07T19:59:25.0920825Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0921078Z - self: 2023-07-07T19:59:25.0921261Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0921378Z - aten_name: 2023-07-07T19:59:25.0921507Z - function_overloads: 2023-07-07T19:59:25.0921623Z - onnx_args: 2023-07-07T19:59:25.0921740Z - onnx_kwargs: 2023-07-07T19:59:25.0922041Z - diagnostic_context: 2023-07-07T19:59:25.0922240Z - Return value: 2023-07-07T19:59:25.0922492Z [2023-07-07 19:56:21,385] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0922630Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0922636Z 2023-07-07T19:59:25.0922830Z [2023-07-07 19:56:21,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0923030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0923041Z 2023-07-07T19:59:25.0923222Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0923487Z - self: 2023-07-07T19:59:25.0923670Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0923783Z - aten_name: 2023-07-07T19:59:25.0923901Z - function_overloads: 2023-07-07T19:59:25.0924015Z - onnx_args: 2023-07-07T19:59:25.0924131Z - onnx_kwargs: 2023-07-07T19:59:25.0924698Z - diagnostic_context: 2023-07-07T19:59:25.0924924Z - Return value: 2023-07-07T19:59:25.0925178Z [2023-07-07 19:56:21,427] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0925316Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0925393Z 2023-07-07T19:59:25.0925593Z [2023-07-07 19:56:21,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0925784Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0925790Z 2023-07-07T19:59:25.0925973Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0926239Z - self: 2023-07-07T19:59:25.0926421Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0926538Z - aten_name: 2023-07-07T19:59:25.0926667Z - function_overloads: 2023-07-07T19:59:25.0926783Z - onnx_args: 2023-07-07T19:59:25.0926899Z - onnx_kwargs: 2023-07-07T19:59:25.0927189Z - diagnostic_context: 2023-07-07T19:59:25.0927403Z - Return value: 2023-07-07T19:59:25.0927482Z PASSED [0.5908s] [ 15%] 2023-07-07T19:59:25.0927727Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmax_cpu_int16 XFAIL [0.0541s] [ 15%] 2023-07-07T19:59:25.0928205Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmax_cpu_int32 [2023-07-07 19:56:21,597] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0928342Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0928352Z 2023-07-07T19:59:25.0928548Z [2023-07-07 19:56:21,597] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0928749Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0928755Z 2023-07-07T19:59:25.0928936Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0929195Z - self: 2023-07-07T19:59:25.0929380Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0929493Z - aten_name: 2023-07-07T19:59:25.0929624Z - function_overloads: 2023-07-07T19:59:25.0929738Z - onnx_args: 2023-07-07T19:59:25.0929854Z - onnx_kwargs: 2023-07-07T19:59:25.0930158Z - diagnostic_context: 2023-07-07T19:59:25.0930359Z - Return value: 2023-07-07T19:59:25.0930613Z [2023-07-07 19:56:21,651] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0930748Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0930754Z 2023-07-07T19:59:25.0930949Z [2023-07-07 19:56:21,651] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0931154Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0931160Z 2023-07-07T19:59:25.0931341Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0931608Z - self: 2023-07-07T19:59:25.0931792Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0931905Z - aten_name: 2023-07-07T19:59:25.0932078Z - function_overloads: 2023-07-07T19:59:25.0932193Z - onnx_args: 2023-07-07T19:59:25.0932308Z - onnx_kwargs: 2023-07-07T19:59:25.0932610Z - diagnostic_context: 2023-07-07T19:59:25.0932818Z - Return value: 2023-07-07T19:59:25.0933072Z [2023-07-07 19:56:21,763] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0933290Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0933297Z 2023-07-07T19:59:25.0933494Z [2023-07-07 19:56:21,763] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0933683Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0933689Z 2023-07-07T19:59:25.0933873Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0934143Z - self: 2023-07-07T19:59:25.0934328Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0934442Z - aten_name: 2023-07-07T19:59:25.0934572Z - function_overloads: 2023-07-07T19:59:25.0934686Z - onnx_args: 2023-07-07T19:59:25.0934806Z - onnx_kwargs: 2023-07-07T19:59:25.0935096Z - diagnostic_context: 2023-07-07T19:59:25.0935307Z - Return value: 2023-07-07T19:59:25.0935559Z [2023-07-07 19:56:21,817] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0935696Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0935702Z 2023-07-07T19:59:25.0935900Z [2023-07-07 19:56:21,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0936105Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0936111Z 2023-07-07T19:59:25.0936290Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0936558Z - self: 2023-07-07T19:59:25.0936748Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0936848Z - aten_name: 2023-07-07T19:59:25.0936977Z - function_overloads: 2023-07-07T19:59:25.0937092Z - onnx_args: 2023-07-07T19:59:25.0937208Z - onnx_kwargs: 2023-07-07T19:59:25.0937507Z - diagnostic_context: 2023-07-07T19:59:25.0937717Z - Return value: 2023-07-07T19:59:25.0937975Z [2023-07-07 19:56:21,924] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0938100Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0938106Z 2023-07-07T19:59:25.0938302Z [2023-07-07 19:56:21,924] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0938504Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0938514Z 2023-07-07T19:59:25.0938695Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0938960Z - self: 2023-07-07T19:59:25.0939145Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0939257Z - aten_name: 2023-07-07T19:59:25.0939388Z - function_overloads: 2023-07-07T19:59:25.0939489Z - onnx_args: 2023-07-07T19:59:25.0939604Z - onnx_kwargs: 2023-07-07T19:59:25.0939954Z - diagnostic_context: 2023-07-07T19:59:25.0940166Z - Return value: 2023-07-07T19:59:25.0940420Z [2023-07-07 19:56:21,996] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0940555Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0940630Z 2023-07-07T19:59:25.0940828Z [2023-07-07 19:56:21,996] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0941028Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0941034Z 2023-07-07T19:59:25.0941213Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0941469Z - self: 2023-07-07T19:59:25.0941657Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0941770Z - aten_name: 2023-07-07T19:59:25.0941901Z - function_overloads: 2023-07-07T19:59:25.0942015Z - onnx_args: 2023-07-07T19:59:25.0942130Z - onnx_kwargs: 2023-07-07T19:59:25.0942431Z - diagnostic_context: 2023-07-07T19:59:25.0942632Z - Return value: 2023-07-07T19:59:25.0942884Z [2023-07-07 19:56:22,126] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0943019Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0943025Z 2023-07-07T19:59:25.0943219Z [2023-07-07 19:56:22,126] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0943419Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0943429Z 2023-07-07T19:59:25.0943611Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0943879Z - self: 2023-07-07T19:59:25.0944066Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0944178Z - aten_name: 2023-07-07T19:59:25.0944299Z - function_overloads: 2023-07-07T19:59:25.0944413Z - onnx_args: 2023-07-07T19:59:25.0944528Z - onnx_kwargs: 2023-07-07T19:59:25.0944830Z - diagnostic_context: 2023-07-07T19:59:25.0945037Z - Return value: 2023-07-07T19:59:25.0945289Z [2023-07-07 19:56:22,189] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0945425Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0945435Z 2023-07-07T19:59:25.0945631Z [2023-07-07 19:56:22,189] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0945818Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0945836Z 2023-07-07T19:59:25.0946006Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0946276Z - self: 2023-07-07T19:59:25.0946459Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0946571Z - aten_name: 2023-07-07T19:59:25.0946700Z - function_overloads: 2023-07-07T19:59:25.0946814Z - onnx_args: 2023-07-07T19:59:25.0946930Z - onnx_kwargs: 2023-07-07T19:59:25.0947218Z - diagnostic_context: 2023-07-07T19:59:25.0947488Z - Return value: 2023-07-07T19:59:25.0947741Z [2023-07-07 19:56:22,255] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0947877Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0947883Z 2023-07-07T19:59:25.0948080Z [2023-07-07 19:56:22,255] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0948333Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0948339Z 2023-07-07T19:59:25.0948521Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0948786Z - self: 2023-07-07T19:59:25.0948969Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0949068Z - aten_name: 2023-07-07T19:59:25.0949201Z - function_overloads: 2023-07-07T19:59:25.0949315Z - onnx_args: 2023-07-07T19:59:25.0949431Z - onnx_kwargs: 2023-07-07T19:59:25.0949735Z - diagnostic_context: 2023-07-07T19:59:25.0949942Z - Return value: 2023-07-07T19:59:25.0950024Z PASSED [0.7717s] [ 15%] 2023-07-07T19:59:25.0950250Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmax_cpu_int64 XFAIL [0.0479s] [ 15%] 2023-07-07T19:59:25.0950719Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmax_cpu_int8 [2023-07-07 19:56:22,409] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0950855Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0950861Z 2023-07-07T19:59:25.0951061Z [2023-07-07 19:56:22,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0951263Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0951269Z 2023-07-07T19:59:25.0951451Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0951716Z - self: 2023-07-07T19:59:25.0951905Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0952016Z - aten_name: 2023-07-07T19:59:25.0952134Z - function_overloads: 2023-07-07T19:59:25.0952251Z - onnx_args: 2023-07-07T19:59:25.0952365Z - onnx_kwargs: 2023-07-07T19:59:25.0952669Z - diagnostic_context: 2023-07-07T19:59:25.0952879Z - Return value: 2023-07-07T19:59:25.0953136Z [2023-07-07 19:56:22,471] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0953272Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0953278Z 2023-07-07T19:59:25.0953476Z [2023-07-07 19:56:22,471] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0953665Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0953686Z 2023-07-07T19:59:25.0953857Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0954124Z - self: 2023-07-07T19:59:25.0954305Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0954418Z - aten_name: 2023-07-07T19:59:25.0954643Z - function_overloads: 2023-07-07T19:59:25.0954760Z - onnx_args: 2023-07-07T19:59:25.0954944Z - onnx_kwargs: 2023-07-07T19:59:25.0955235Z - diagnostic_context: 2023-07-07T19:59:25.0955447Z - Return value: 2023-07-07T19:59:25.0955700Z [2023-07-07 19:56:22,598] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0955893Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0955899Z 2023-07-07T19:59:25.0956094Z [2023-07-07 19:56:22,598] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0956294Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0956300Z 2023-07-07T19:59:25.0956483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0956753Z - self: 2023-07-07T19:59:25.0956938Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0957038Z - aten_name: 2023-07-07T19:59:25.0957168Z - function_overloads: 2023-07-07T19:59:25.0957282Z - onnx_args: 2023-07-07T19:59:25.0957400Z - onnx_kwargs: 2023-07-07T19:59:25.0957705Z - diagnostic_context: 2023-07-07T19:59:25.0957919Z - Return value: 2023-07-07T19:59:25.0958172Z [2023-07-07 19:56:22,659] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0958294Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0958313Z 2023-07-07T19:59:25.0958495Z [2023-07-07 19:56:22,659] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0958702Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0958708Z 2023-07-07T19:59:25.0958891Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0959161Z - self: 2023-07-07T19:59:25.0959347Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0959464Z - aten_name: 2023-07-07T19:59:25.0959595Z - function_overloads: 2023-07-07T19:59:25.0959710Z - onnx_args: 2023-07-07T19:59:25.0959813Z - onnx_kwargs: 2023-07-07T19:59:25.0960115Z - diagnostic_context: 2023-07-07T19:59:25.0960327Z - Return value: 2023-07-07T19:59:25.0960583Z [2023-07-07 19:56:22,780] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0960722Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0960728Z 2023-07-07T19:59:25.0960924Z [2023-07-07 19:56:22,780] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0961128Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0961133Z 2023-07-07T19:59:25.0961319Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0961571Z - self: 2023-07-07T19:59:25.0961757Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0961868Z - aten_name: 2023-07-07T19:59:25.0962001Z - function_overloads: 2023-07-07T19:59:25.0962115Z - onnx_args: 2023-07-07T19:59:25.0962233Z - onnx_kwargs: 2023-07-07T19:59:25.0962595Z - diagnostic_context: 2023-07-07T19:59:25.0962808Z - Return value: 2023-07-07T19:59:25.0963047Z [2023-07-07 19:56:22,848] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0963185Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0963191Z 2023-07-07T19:59:25.0963444Z [2023-07-07 19:56:22,848] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0963647Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0963653Z 2023-07-07T19:59:25.0963836Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0964102Z - self: 2023-07-07T19:59:25.0964288Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0964536Z - aten_name: 2023-07-07T19:59:25.0964665Z - function_overloads: 2023-07-07T19:59:25.0964780Z - onnx_args: 2023-07-07T19:59:25.0964896Z - onnx_kwargs: 2023-07-07T19:59:25.0965198Z - diagnostic_context: 2023-07-07T19:59:25.0965408Z - Return value: 2023-07-07T19:59:25.0965670Z [2023-07-07 19:56:22,931] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0965808Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0965815Z 2023-07-07T19:59:25.0966011Z [2023-07-07 19:56:22,931] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0966199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0966218Z 2023-07-07T19:59:25.0966392Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0966656Z - self: 2023-07-07T19:59:25.0966840Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0966953Z - aten_name: 2023-07-07T19:59:25.0967084Z - function_overloads: 2023-07-07T19:59:25.0967204Z - onnx_args: 2023-07-07T19:59:25.0967320Z - onnx_kwargs: 2023-07-07T19:59:25.0967610Z - diagnostic_context: 2023-07-07T19:59:25.0967820Z - Return value: 2023-07-07T19:59:25.0968068Z [2023-07-07 19:56:22,973] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0968205Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0968212Z 2023-07-07T19:59:25.0968411Z [2023-07-07 19:56:22,973] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0968613Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0968619Z 2023-07-07T19:59:25.0968801Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0969072Z - self: 2023-07-07T19:59:25.0969257Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0969357Z - aten_name: 2023-07-07T19:59:25.0969487Z - function_overloads: 2023-07-07T19:59:25.0969604Z - onnx_args: 2023-07-07T19:59:25.0969721Z - onnx_kwargs: 2023-07-07T19:59:25.0970024Z - diagnostic_context: 2023-07-07T19:59:25.0970233Z - Return value: 2023-07-07T19:59:25.0970590Z [2023-07-07 19:56:23,014] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0970729Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0970734Z 2023-07-07T19:59:25.0970918Z [2023-07-07 19:56:23,014] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0971121Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0971193Z 2023-07-07T19:59:25.0971376Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0971640Z - self: 2023-07-07T19:59:25.0971824Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0971936Z - aten_name: 2023-07-07T19:59:25.0972066Z - function_overloads: 2023-07-07T19:59:25.0972185Z - onnx_args: 2023-07-07T19:59:25.0972288Z - onnx_kwargs: 2023-07-07T19:59:25.0972591Z - diagnostic_context: 2023-07-07T19:59:25.0972803Z - Return value: 2023-07-07T19:59:25.0972881Z PASSED [0.7043s] [ 15%] 2023-07-07T19:59:25.0973358Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmax_cpu_uint8 [2023-07-07 19:56:23,109] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0973501Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0973506Z 2023-07-07T19:59:25.0973702Z [2023-07-07 19:56:23,109] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0973972Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0973980Z 2023-07-07T19:59:25.0974261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0974649Z - self: 2023-07-07T19:59:25.0974929Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0975099Z - aten_name: 2023-07-07T19:59:25.0975295Z - function_overloads: 2023-07-07T19:59:25.0975478Z - onnx_args: 2023-07-07T19:59:25.0975658Z - onnx_kwargs: 2023-07-07T19:59:25.0976112Z - diagnostic_context: 2023-07-07T19:59:25.0976418Z - Return value: 2023-07-07T19:59:25.0976802Z [2023-07-07 19:56:23,162] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0977004Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0977012Z 2023-07-07T19:59:25.0977315Z [2023-07-07 19:56:23,162] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0977622Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0977630Z 2023-07-07T19:59:25.0977905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0978320Z - self: 2023-07-07T19:59:25.0978601Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0978770Z - aten_name: 2023-07-07T19:59:25.0978956Z - function_overloads: 2023-07-07T19:59:25.0979130Z - onnx_args: 2023-07-07T19:59:25.0979307Z - onnx_kwargs: 2023-07-07T19:59:25.0979768Z - diagnostic_context: 2023-07-07T19:59:25.0980152Z - Return value: 2023-07-07T19:59:25.0980541Z [2023-07-07 19:56:23,254] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0980744Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0980753Z 2023-07-07T19:59:25.0981048Z [2023-07-07 19:56:23,254] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0981396Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0981404Z 2023-07-07T19:59:25.0981678Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0982083Z - self: 2023-07-07T19:59:25.0982363Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0982533Z - aten_name: 2023-07-07T19:59:25.0982734Z - function_overloads: 2023-07-07T19:59:25.0982914Z - onnx_args: 2023-07-07T19:59:25.0983090Z - onnx_kwargs: 2023-07-07T19:59:25.0983536Z - diagnostic_context: 2023-07-07T19:59:25.0983853Z - Return value: 2023-07-07T19:59:25.0984242Z [2023-07-07 19:56:23,300] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0984450Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0984458Z 2023-07-07T19:59:25.0984753Z [2023-07-07 19:56:23,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0985057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0985066Z 2023-07-07T19:59:25.0985341Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0985752Z - self: 2023-07-07T19:59:25.0986030Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0986187Z - aten_name: 2023-07-07T19:59:25.0986386Z - function_overloads: 2023-07-07T19:59:25.0986562Z - onnx_args: 2023-07-07T19:59:25.0986739Z - onnx_kwargs: 2023-07-07T19:59:25.0987202Z - diagnostic_context: 2023-07-07T19:59:25.0987519Z - Return value: 2023-07-07T19:59:25.0987904Z [2023-07-07 19:56:23,396] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0988091Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0988099Z 2023-07-07T19:59:25.0988395Z [2023-07-07 19:56:23,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0988703Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0988711Z 2023-07-07T19:59:25.0988984Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0989390Z - self: 2023-07-07T19:59:25.0989676Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0989849Z - aten_name: 2023-07-07T19:59:25.0990050Z - function_overloads: 2023-07-07T19:59:25.0990210Z - onnx_args: 2023-07-07T19:59:25.0990386Z - onnx_kwargs: 2023-07-07T19:59:25.0990845Z - diagnostic_context: 2023-07-07T19:59:25.0991168Z - Return value: 2023-07-07T19:59:25.0991623Z [2023-07-07 19:56:23,443] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0991832Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0991840Z 2023-07-07T19:59:25.0992137Z [2023-07-07 19:56:23,443] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0992444Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0992512Z 2023-07-07T19:59:25.0992787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0993182Z - self: 2023-07-07T19:59:25.0993460Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0993630Z - aten_name: 2023-07-07T19:59:25.0993827Z - function_overloads: 2023-07-07T19:59:25.0993998Z - onnx_args: 2023-07-07T19:59:25.0994178Z - onnx_kwargs: 2023-07-07T19:59:25.0994673Z - diagnostic_context: 2023-07-07T19:59:25.0994995Z - Return value: 2023-07-07T19:59:25.0995266Z [2023-07-07 19:56:23,534] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0995403Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0995413Z 2023-07-07T19:59:25.0995609Z [2023-07-07 19:56:23,535] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0995812Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0995818Z 2023-07-07T19:59:25.0996000Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0996268Z - self: 2023-07-07T19:59:25.0996454Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0996565Z - aten_name: 2023-07-07T19:59:25.0996684Z - function_overloads: 2023-07-07T19:59:25.0996799Z - onnx_args: 2023-07-07T19:59:25.0996914Z - onnx_kwargs: 2023-07-07T19:59:25.0997216Z - diagnostic_context: 2023-07-07T19:59:25.0997430Z - Return value: 2023-07-07T19:59:25.0997682Z [2023-07-07 19:56:23,577] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.0997817Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.0997823Z 2023-07-07T19:59:25.0998021Z [2023-07-07 19:56:23,577] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.0998210Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.0998228Z 2023-07-07T19:59:25.0998404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.0998669Z - self: 2023-07-07T19:59:25.0998852Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.0998964Z - aten_name: 2023-07-07T19:59:25.0999099Z - function_overloads: 2023-07-07T19:59:25.0999213Z - onnx_args: 2023-07-07T19:59:25.0999327Z - onnx_kwargs: 2023-07-07T19:59:25.0999616Z - diagnostic_context: 2023-07-07T19:59:25.0999829Z - Return value: 2023-07-07T19:59:25.1000081Z [2023-07-07 19:56:23,621] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax]. 2023-07-07T19:59:25.1000216Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1000222Z 2023-07-07T19:59:25.1000527Z [2023-07-07 19:56:23,621] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1000731Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1000737Z 2023-07-07T19:59:25.1000920Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1001251Z - self: 2023-07-07T19:59:25.1001434Z - node: fx.Node(argmax[call_function]'aten.argmax.default') 2023-07-07T19:59:25.1001534Z - aten_name: 2023-07-07T19:59:25.1001663Z - function_overloads: 2023-07-07T19:59:25.1001777Z - onnx_args: 2023-07-07T19:59:25.1001892Z - onnx_kwargs: 2023-07-07T19:59:25.1002193Z - diagnostic_context: 2023-07-07T19:59:25.1002407Z - Return value: 2023-07-07T19:59:25.1002484Z PASSED [0.6142s] [ 16%] 2023-07-07T19:59:25.1002957Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmin_cpu_float16 [2023-07-07 19:56:23,715] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1003095Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1003105Z 2023-07-07T19:59:25.1003300Z [2023-07-07 19:56:23,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1003500Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1003506Z 2023-07-07T19:59:25.1003687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1003951Z - self: 2023-07-07T19:59:25.1004141Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1004253Z - aten_name: 2023-07-07T19:59:25.1004503Z - function_overloads: 2023-07-07T19:59:25.1004641Z - onnx_args: 2023-07-07T19:59:25.1004760Z - onnx_kwargs: 2023-07-07T19:59:25.1005061Z - diagnostic_context: 2023-07-07T19:59:25.1005277Z - Return value: 2023-07-07T19:59:25.1005532Z [2023-07-07 19:56:23,757] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1005670Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1005677Z 2023-07-07T19:59:25.1005874Z [2023-07-07 19:56:23,757] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1006075Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1006085Z 2023-07-07T19:59:25.1006270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1006524Z - self: 2023-07-07T19:59:25.1006707Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1006820Z - aten_name: 2023-07-07T19:59:25.1006952Z - function_overloads: 2023-07-07T19:59:25.1007066Z - onnx_args: 2023-07-07T19:59:25.1007181Z - onnx_kwargs: 2023-07-07T19:59:25.1007484Z - diagnostic_context: 2023-07-07T19:59:25.1007680Z - Return value: 2023-07-07T19:59:25.1007932Z [2023-07-07 19:56:24,014] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1008068Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1008167Z 2023-07-07T19:59:25.1008369Z [2023-07-07 19:56:24,014] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1008569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1008576Z 2023-07-07T19:59:25.1008758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1009096Z - self: 2023-07-07T19:59:25.1009281Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1009394Z - aten_name: 2023-07-07T19:59:25.1009513Z - function_overloads: 2023-07-07T19:59:25.1009627Z - onnx_args: 2023-07-07T19:59:25.1009743Z - onnx_kwargs: 2023-07-07T19:59:25.1010044Z - diagnostic_context: 2023-07-07T19:59:25.1010260Z - Return value: 2023-07-07T19:59:25.1010514Z [2023-07-07 19:56:24,056] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1010649Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1010655Z 2023-07-07T19:59:25.1010839Z [2023-07-07 19:56:24,056] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1011045Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1011051Z 2023-07-07T19:59:25.1011233Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1011499Z - self: 2023-07-07T19:59:25.1011685Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1011798Z - aten_name: 2023-07-07T19:59:25.1011933Z - function_overloads: 2023-07-07T19:59:25.1012048Z - onnx_args: 2023-07-07T19:59:25.1012150Z - onnx_kwargs: 2023-07-07T19:59:25.1012452Z - diagnostic_context: 2023-07-07T19:59:25.1012662Z - Return value: 2023-07-07T19:59:25.1012921Z [2023-07-07 19:56:24,145] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1013061Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1013066Z 2023-07-07T19:59:25.1013263Z [2023-07-07 19:56:24,145] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1013463Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1013469Z 2023-07-07T19:59:25.1013650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1013918Z - self: 2023-07-07T19:59:25.1014089Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1014201Z - aten_name: 2023-07-07T19:59:25.1014330Z - function_overloads: 2023-07-07T19:59:25.1014443Z - onnx_args: 2023-07-07T19:59:25.1014562Z - onnx_kwargs: 2023-07-07T19:59:25.1014864Z - diagnostic_context: 2023-07-07T19:59:25.1015073Z - Return value: 2023-07-07T19:59:25.1015327Z [2023-07-07 19:56:24,188] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1015452Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1015458Z 2023-07-07T19:59:25.1015653Z [2023-07-07 19:56:24,188] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1015919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1015925Z 2023-07-07T19:59:25.1016109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1016374Z - self: 2023-07-07T19:59:25.1016642Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1016754Z - aten_name: 2023-07-07T19:59:25.1016884Z - function_overloads: 2023-07-07T19:59:25.1016986Z - onnx_args: 2023-07-07T19:59:25.1017102Z - onnx_kwargs: 2023-07-07T19:59:25.1017403Z - diagnostic_context: 2023-07-07T19:59:25.1017611Z - Return value: 2023-07-07T19:59:25.1017869Z [2023-07-07 19:56:24,278] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1018004Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1018010Z 2023-07-07T19:59:25.1018205Z [2023-07-07 19:56:24,279] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1018406Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1018416Z 2023-07-07T19:59:25.1018600Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1018853Z - self: 2023-07-07T19:59:25.1019038Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1019153Z - aten_name: 2023-07-07T19:59:25.1019284Z - function_overloads: 2023-07-07T19:59:25.1019398Z - onnx_args: 2023-07-07T19:59:25.1019518Z - onnx_kwargs: 2023-07-07T19:59:25.1019820Z - diagnostic_context: 2023-07-07T19:59:25.1020018Z - Return value: 2023-07-07T19:59:25.1020270Z [2023-07-07 19:56:24,322] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1020410Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1020416Z 2023-07-07T19:59:25.1020610Z [2023-07-07 19:56:24,322] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1020809Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1020815Z 2023-07-07T19:59:25.1020998Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1021264Z - self: 2023-07-07T19:59:25.1021452Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1021565Z - aten_name: 2023-07-07T19:59:25.1021683Z - function_overloads: 2023-07-07T19:59:25.1021797Z - onnx_args: 2023-07-07T19:59:25.1021913Z - onnx_kwargs: 2023-07-07T19:59:25.1022217Z - diagnostic_context: 2023-07-07T19:59:25.1022432Z - Return value: 2023-07-07T19:59:25.1022689Z [2023-07-07 19:56:24,373] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1022826Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1022832Z 2023-07-07T19:59:25.1023027Z [2023-07-07 19:56:24,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1023266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1023272Z 2023-07-07T19:59:25.1023457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1023719Z - self: 2023-07-07T19:59:25.1023903Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1024072Z - aten_name: 2023-07-07T19:59:25.1024205Z - function_overloads: 2023-07-07T19:59:25.1024320Z - onnx_args: 2023-07-07T19:59:25.1024435Z - onnx_kwargs: 2023-07-07T19:59:25.1024723Z - diagnostic_context: 2023-07-07T19:59:25.1024933Z - Return value: 2023-07-07T19:59:25.1025012Z PASSED [0.7468s] [ 16%] 2023-07-07T19:59:25.1025498Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmin_cpu_float32 [2023-07-07 19:56:24,464] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1025635Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1025640Z 2023-07-07T19:59:25.1025836Z [2023-07-07 19:56:24,464] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1026035Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1026045Z 2023-07-07T19:59:25.1026226Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1026490Z - self: 2023-07-07T19:59:25.1026660Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1026772Z - aten_name: 2023-07-07T19:59:25.1026902Z - function_overloads: 2023-07-07T19:59:25.1027018Z - onnx_args: 2023-07-07T19:59:25.1027137Z - onnx_kwargs: 2023-07-07T19:59:25.1027440Z - diagnostic_context: 2023-07-07T19:59:25.1027650Z - Return value: 2023-07-07T19:59:25.1027889Z [2023-07-07 19:56:24,505] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1028033Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1028039Z 2023-07-07T19:59:25.1028235Z [2023-07-07 19:56:24,505] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1028438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1028444Z 2023-07-07T19:59:25.1028627Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1028896Z - self: 2023-07-07T19:59:25.1029080Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1029194Z - aten_name: 2023-07-07T19:59:25.1029325Z - function_overloads: 2023-07-07T19:59:25.1029427Z - onnx_args: 2023-07-07T19:59:25.1029544Z - onnx_kwargs: 2023-07-07T19:59:25.1029847Z - diagnostic_context: 2023-07-07T19:59:25.1030061Z - Return value: 2023-07-07T19:59:25.1030314Z [2023-07-07 19:56:24,590] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1030450Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1030456Z 2023-07-07T19:59:25.1030651Z [2023-07-07 19:56:24,590] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1030913Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1030920Z 2023-07-07T19:59:25.1031089Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1031354Z - self: 2023-07-07T19:59:25.1031538Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1031704Z - aten_name: 2023-07-07T19:59:25.1031835Z - function_overloads: 2023-07-07T19:59:25.1031949Z - onnx_args: 2023-07-07T19:59:25.1032066Z - onnx_kwargs: 2023-07-07T19:59:25.1032372Z - diagnostic_context: 2023-07-07T19:59:25.1032572Z - Return value: 2023-07-07T19:59:25.1032826Z [2023-07-07 19:56:24,640] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1032966Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1032972Z 2023-07-07T19:59:25.1033167Z [2023-07-07 19:56:24,640] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1033367Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1033373Z 2023-07-07T19:59:25.1033561Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1033827Z - self: 2023-07-07T19:59:25.1034011Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1034110Z - aten_name: 2023-07-07T19:59:25.1034241Z - function_overloads: 2023-07-07T19:59:25.1034356Z - onnx_args: 2023-07-07T19:59:25.1034546Z - onnx_kwargs: 2023-07-07T19:59:25.1034857Z - diagnostic_context: 2023-07-07T19:59:25.1035069Z - Return value: 2023-07-07T19:59:25.1035323Z [2023-07-07 19:56:24,722] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1035458Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1035464Z 2023-07-07T19:59:25.1035651Z [2023-07-07 19:56:24,722] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1035851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1035857Z 2023-07-07T19:59:25.1036039Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1036304Z - self: 2023-07-07T19:59:25.1036487Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1036603Z - aten_name: 2023-07-07T19:59:25.1036735Z - function_overloads: 2023-07-07T19:59:25.1036849Z - onnx_args: 2023-07-07T19:59:25.1036951Z - onnx_kwargs: 2023-07-07T19:59:25.1037252Z - diagnostic_context: 2023-07-07T19:59:25.1037463Z - Return value: 2023-07-07T19:59:25.1037720Z [2023-07-07 19:56:24,762] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1037858Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1037863Z 2023-07-07T19:59:25.1038060Z [2023-07-07 19:56:24,762] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1038262Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1038268Z 2023-07-07T19:59:25.1038514Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1038783Z - self: 2023-07-07T19:59:25.1038954Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1039066Z - aten_name: 2023-07-07T19:59:25.1039195Z - function_overloads: 2023-07-07T19:59:25.1039366Z - onnx_args: 2023-07-07T19:59:25.1039480Z - onnx_kwargs: 2023-07-07T19:59:25.1039781Z - diagnostic_context: 2023-07-07T19:59:25.1039990Z - Return value: 2023-07-07T19:59:25.1040233Z [2023-07-07 19:56:24,846] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1040371Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1040377Z 2023-07-07T19:59:25.1040575Z [2023-07-07 19:56:24,846] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1040777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1040783Z 2023-07-07T19:59:25.1040964Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1041230Z - self: 2023-07-07T19:59:25.1041418Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1041530Z - aten_name: 2023-07-07T19:59:25.1041661Z - function_overloads: 2023-07-07T19:59:25.1041764Z - onnx_args: 2023-07-07T19:59:25.1041878Z - onnx_kwargs: 2023-07-07T19:59:25.1042181Z - diagnostic_context: 2023-07-07T19:59:25.1042391Z - Return value: 2023-07-07T19:59:25.1042645Z [2023-07-07 19:56:24,889] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1042783Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1042789Z 2023-07-07T19:59:25.1042985Z [2023-07-07 19:56:24,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1043185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1043195Z 2023-07-07T19:59:25.1043366Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1043631Z - self: 2023-07-07T19:59:25.1043814Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1043927Z - aten_name: 2023-07-07T19:59:25.1044057Z - function_overloads: 2023-07-07T19:59:25.1044174Z - onnx_args: 2023-07-07T19:59:25.1044290Z - onnx_kwargs: 2023-07-07T19:59:25.1044823Z - diagnostic_context: 2023-07-07T19:59:25.1045031Z - Return value: 2023-07-07T19:59:25.1045404Z [2023-07-07 19:56:24,933] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1045616Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1045625Z 2023-07-07T19:59:25.1045923Z [2023-07-07 19:56:24,933] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1046227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1046235Z 2023-07-07T19:59:25.1046510Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1047019Z - self: 2023-07-07T19:59:25.1047307Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1047480Z - aten_name: 2023-07-07T19:59:25.1047664Z - function_overloads: 2023-07-07T19:59:25.1047839Z - onnx_args: 2023-07-07T19:59:25.1048018Z - onnx_kwargs: 2023-07-07T19:59:25.1048556Z - diagnostic_context: 2023-07-07T19:59:25.1048876Z - Return value: 2023-07-07T19:59:25.1048991Z PASSED [0.5550s] [ 16%] 2023-07-07T19:59:25.1049352Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmin_cpu_int16 XFAIL [0.0491s] [ 16%] 2023-07-07T19:59:25.1050066Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmin_cpu_int32 [2023-07-07 19:56:25,086] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1050273Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1050281Z 2023-07-07T19:59:25.1050580Z [2023-07-07 19:56:25,086] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1050882Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1050896Z 2023-07-07T19:59:25.1051176Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1051583Z - self: 2023-07-07T19:59:25.1051864Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1052036Z - aten_name: 2023-07-07T19:59:25.1052237Z - function_overloads: 2023-07-07T19:59:25.1052399Z - onnx_args: 2023-07-07T19:59:25.1052577Z - onnx_kwargs: 2023-07-07T19:59:25.1053040Z - diagnostic_context: 2023-07-07T19:59:25.1053358Z - Return value: 2023-07-07T19:59:25.1053752Z [2023-07-07 19:56:25,140] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1053955Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1053968Z 2023-07-07T19:59:25.1054269Z [2023-07-07 19:56:25,140] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1054576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1054584Z 2023-07-07T19:59:25.1054859Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1055252Z - self: 2023-07-07T19:59:25.1055541Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1055713Z - aten_name: 2023-07-07T19:59:25.1055913Z - function_overloads: 2023-07-07T19:59:25.1056089Z - onnx_args: 2023-07-07T19:59:25.1056264Z - onnx_kwargs: 2023-07-07T19:59:25.1056726Z - diagnostic_context: 2023-07-07T19:59:25.1057037Z - Return value: 2023-07-07T19:59:25.1057423Z [2023-07-07 19:56:25,253] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1057627Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1057635Z 2023-07-07T19:59:25.1057932Z [2023-07-07 19:56:25,253] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1058231Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1058239Z 2023-07-07T19:59:25.1058552Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1058983Z - self: 2023-07-07T19:59:25.1059208Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1059323Z - aten_name: 2023-07-07T19:59:25.1059522Z - function_overloads: 2023-07-07T19:59:25.1059637Z - onnx_args: 2023-07-07T19:59:25.1059754Z - onnx_kwargs: 2023-07-07T19:59:25.1060058Z - diagnostic_context: 2023-07-07T19:59:25.1060270Z - Return value: 2023-07-07T19:59:25.1060526Z [2023-07-07 19:56:25,308] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1060667Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1060672Z 2023-07-07T19:59:25.1060873Z [2023-07-07 19:56:25,308] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1061063Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1061070Z 2023-07-07T19:59:25.1061255Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1061526Z - self: 2023-07-07T19:59:25.1061711Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1061825Z - aten_name: 2023-07-07T19:59:25.1061958Z - function_overloads: 2023-07-07T19:59:25.1062075Z - onnx_args: 2023-07-07T19:59:25.1062178Z - onnx_kwargs: 2023-07-07T19:59:25.1062481Z - diagnostic_context: 2023-07-07T19:59:25.1062693Z - Return value: 2023-07-07T19:59:25.1062946Z [2023-07-07 19:56:25,393] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1063082Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1063088Z 2023-07-07T19:59:25.1063283Z [2023-07-07 19:56:25,393] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1063488Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1063494Z 2023-07-07T19:59:25.1063675Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1063940Z - self: 2023-07-07T19:59:25.1064111Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1064223Z - aten_name: 2023-07-07T19:59:25.1064352Z - function_overloads: 2023-07-07T19:59:25.1064471Z - onnx_args: 2023-07-07T19:59:25.1064588Z - onnx_kwargs: 2023-07-07T19:59:25.1064891Z - diagnostic_context: 2023-07-07T19:59:25.1065100Z - Return value: 2023-07-07T19:59:25.1065353Z [2023-07-07 19:56:25,435] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1065482Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1065487Z 2023-07-07T19:59:25.1065683Z [2023-07-07 19:56:25,435] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1065885Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1065892Z 2023-07-07T19:59:25.1066073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1066428Z - self: 2023-07-07T19:59:25.1066616Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1066728Z - aten_name: 2023-07-07T19:59:25.1066858Z - function_overloads: 2023-07-07T19:59:25.1066959Z - onnx_args: 2023-07-07T19:59:25.1067135Z - onnx_kwargs: 2023-07-07T19:59:25.1067438Z - diagnostic_context: 2023-07-07T19:59:25.1067650Z - Return value: 2023-07-07T19:59:25.1067904Z [2023-07-07 19:56:25,535] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1068042Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1068048Z 2023-07-07T19:59:25.1068243Z [2023-07-07 19:56:25,536] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1068449Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1068455Z 2023-07-07T19:59:25.1068637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1068892Z - self: 2023-07-07T19:59:25.1069080Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1069192Z - aten_name: 2023-07-07T19:59:25.1069322Z - function_overloads: 2023-07-07T19:59:25.1069435Z - onnx_args: 2023-07-07T19:59:25.1069549Z - onnx_kwargs: 2023-07-07T19:59:25.1069850Z - diagnostic_context: 2023-07-07T19:59:25.1070049Z - Return value: 2023-07-07T19:59:25.1070307Z [2023-07-07 19:56:25,578] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1070443Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1070449Z 2023-07-07T19:59:25.1070644Z [2023-07-07 19:56:25,578] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1070866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1070878Z 2023-07-07T19:59:25.1071070Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1071340Z - self: 2023-07-07T19:59:25.1071525Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1071637Z - aten_name: 2023-07-07T19:59:25.1071754Z - function_overloads: 2023-07-07T19:59:25.1071868Z - onnx_args: 2023-07-07T19:59:25.1071984Z - onnx_kwargs: 2023-07-07T19:59:25.1072288Z - diagnostic_context: 2023-07-07T19:59:25.1072498Z - Return value: 2023-07-07T19:59:25.1072750Z [2023-07-07 19:56:25,621] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin]. 2023-07-07T19:59:25.1072886Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1072896Z 2023-07-07T19:59:25.1073090Z [2023-07-07 19:56:25,621] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1073278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1073283Z 2023-07-07T19:59:25.1073466Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1073731Z - self: 2023-07-07T19:59:25.1073971Z - node: fx.Node(argmin[call_function]'aten.argmin.default') 2023-07-07T19:59:25.1074085Z - aten_name: 2023-07-07T19:59:25.1074215Z - function_overloads: 2023-07-07T19:59:25.1074330Z - onnx_args: 2023-07-07T19:59:25.1074522Z - onnx_kwargs: 2023-07-07T19:59:25.1074814Z - diagnostic_context: 2023-07-07T19:59:25.1075084Z - Return value: 2023-07-07T19:59:25.1075161Z PASSED [0.6334s] [ 16%] 2023-07-07T19:59:25.1075405Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmin_cpu_int64 XFAIL [0.0410s] [ 17%] 2023-07-07T19:59:25.1075638Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmin_cpu_int8 XFAIL [0.0427s] [ 17%] 2023-07-07T19:59:25.1075870Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_argmin_cpu_uint8 XFAIL [0.0515s] [ 17%] 2023-07-07T19:59:25.1076360Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_bool [2023-07-07 19:56:25,812] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1076503Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1076513Z 2023-07-07T19:59:25.1076711Z [2023-07-07 19:56:25,812] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1076900Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1076917Z 2023-07-07T19:59:25.1077088Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1077355Z - self: 2023-07-07T19:59:25.1077553Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1077705Z - aten_name: 2023-07-07T19:59:25.1077873Z - function_overloads: 2023-07-07T19:59:25.1077990Z - onnx_args: 2023-07-07T19:59:25.1078106Z - onnx_kwargs: 2023-07-07T19:59:25.1078397Z - diagnostic_context: 2023-07-07T19:59:25.1078608Z - Return value: 2023-07-07T19:59:25.1078878Z [2023-07-07 19:56:25,869] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1079018Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1079025Z 2023-07-07T19:59:25.1079218Z [2023-07-07 19:56:25,869] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1079419Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1079425Z 2023-07-07T19:59:25.1079612Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1079879Z - self: 2023-07-07T19:59:25.1080075Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1080175Z - aten_name: 2023-07-07T19:59:25.1080311Z - function_overloads: 2023-07-07T19:59:25.1080427Z - onnx_args: 2023-07-07T19:59:25.1080541Z - onnx_kwargs: 2023-07-07T19:59:25.1080845Z - diagnostic_context: 2023-07-07T19:59:25.1081057Z - Return value: 2023-07-07T19:59:25.1081323Z [2023-07-07 19:56:25,948] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1081452Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1081471Z 2023-07-07T19:59:25.1081731Z [2023-07-07 19:56:25,948] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1081936Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1081942Z 2023-07-07T19:59:25.1082126Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1082445Z - self: 2023-07-07T19:59:25.1082642Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1082755Z - aten_name: 2023-07-07T19:59:25.1082887Z - function_overloads: 2023-07-07T19:59:25.1083002Z - onnx_args: 2023-07-07T19:59:25.1083105Z - onnx_kwargs: 2023-07-07T19:59:25.1083405Z - diagnostic_context: 2023-07-07T19:59:25.1083619Z - Return value: 2023-07-07T19:59:25.1083884Z [2023-07-07 19:56:26,030] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1084027Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1084032Z 2023-07-07T19:59:25.1084227Z [2023-07-07 19:56:26,030] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1084642Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1084649Z 2023-07-07T19:59:25.1084837Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1085094Z - self: 2023-07-07T19:59:25.1085289Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1085401Z - aten_name: 2023-07-07T19:59:25.1085537Z - function_overloads: 2023-07-07T19:59:25.1085653Z - onnx_args: 2023-07-07T19:59:25.1085769Z - onnx_kwargs: 2023-07-07T19:59:25.1086073Z - diagnostic_context: 2023-07-07T19:59:25.1086282Z - Return value: 2023-07-07T19:59:25.1086536Z [2023-07-07 19:56:26,092] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1086678Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1086683Z 2023-07-07T19:59:25.1086879Z [2023-07-07 19:56:26,093] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1087079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1087084Z 2023-07-07T19:59:25.1087271Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1087536Z - self: 2023-07-07T19:59:25.1087730Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1087844Z - aten_name: 2023-07-07T19:59:25.1087975Z - function_overloads: 2023-07-07T19:59:25.1088078Z - onnx_args: 2023-07-07T19:59:25.1088197Z - onnx_kwargs: 2023-07-07T19:59:25.1088498Z - diagnostic_context: 2023-07-07T19:59:25.1088709Z - Return value: 2023-07-07T19:59:25.1088788Z PASSED [0.3401s] [ 17%] 2023-07-07T19:59:25.1089283Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_float16 [2023-07-07 19:56:26,153] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1089535Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1089542Z 2023-07-07T19:59:25.1089744Z [2023-07-07 19:56:26,153] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1089934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1089940Z 2023-07-07T19:59:25.1090189Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1090458Z - self: 2023-07-07T19:59:25.1090654Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1090768Z - aten_name: 2023-07-07T19:59:25.1090899Z - function_overloads: 2023-07-07T19:59:25.1091015Z - onnx_args: 2023-07-07T19:59:25.1091131Z - onnx_kwargs: 2023-07-07T19:59:25.1091425Z - diagnostic_context: 2023-07-07T19:59:25.1091635Z - Return value: 2023-07-07T19:59:25.1091904Z [2023-07-07 19:56:26,226] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1092045Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1092054Z 2023-07-07T19:59:25.1092250Z [2023-07-07 19:56:26,226] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1092452Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1092458Z 2023-07-07T19:59:25.1092640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1092906Z - self: 2023-07-07T19:59:25.1093101Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1093207Z - aten_name: 2023-07-07T19:59:25.1093336Z - function_overloads: 2023-07-07T19:59:25.1093452Z - onnx_args: 2023-07-07T19:59:25.1093570Z - onnx_kwargs: 2023-07-07T19:59:25.1093874Z - diagnostic_context: 2023-07-07T19:59:25.1094088Z - Return value: 2023-07-07T19:59:25.1094352Z [2023-07-07 19:56:26,309] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1094480Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1094498Z 2023-07-07T19:59:25.1094683Z [2023-07-07 19:56:26,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1094884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1094890Z 2023-07-07T19:59:25.1095077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1095342Z - self: 2023-07-07T19:59:25.1095536Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1095648Z - aten_name: 2023-07-07T19:59:25.1095784Z - function_overloads: 2023-07-07T19:59:25.1095898Z - onnx_args: 2023-07-07T19:59:25.1096000Z - onnx_kwargs: 2023-07-07T19:59:25.1096300Z - diagnostic_context: 2023-07-07T19:59:25.1096507Z - Return value: 2023-07-07T19:59:25.1096772Z [2023-07-07 19:56:26,400] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1096911Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1096975Z 2023-07-07T19:59:25.1097172Z [2023-07-07 19:56:26,400] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1097373Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1097379Z 2023-07-07T19:59:25.1097560Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1097867Z - self: 2023-07-07T19:59:25.1098062Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1098172Z - aten_name: 2023-07-07T19:59:25.1098303Z - function_overloads: 2023-07-07T19:59:25.1098417Z - onnx_args: 2023-07-07T19:59:25.1098533Z - onnx_kwargs: 2023-07-07T19:59:25.1098836Z - diagnostic_context: 2023-07-07T19:59:25.1099047Z - Return value: 2023-07-07T19:59:25.1099301Z [2023-07-07 19:56:26,490] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1099442Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1099448Z 2023-07-07T19:59:25.1099642Z [2023-07-07 19:56:26,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1099844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1099850Z 2023-07-07T19:59:25.1100032Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1100294Z - self: 2023-07-07T19:59:25.1100487Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1100599Z - aten_name: 2023-07-07T19:59:25.1100721Z - function_overloads: 2023-07-07T19:59:25.1100835Z - onnx_args: 2023-07-07T19:59:25.1100949Z - onnx_kwargs: 2023-07-07T19:59:25.1101250Z - diagnostic_context: 2023-07-07T19:59:25.1101458Z - Return value: 2023-07-07T19:59:25.1101541Z PASSED [0.3992s] [ 17%] 2023-07-07T19:59:25.1102033Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_float32 [2023-07-07 19:56:26,559] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1102174Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1102181Z 2023-07-07T19:59:25.1102377Z [2023-07-07 19:56:26,559] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1102571Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1102577Z 2023-07-07T19:59:25.1102761Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1103027Z - self: 2023-07-07T19:59:25.1103221Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1103338Z - aten_name: 2023-07-07T19:59:25.1103468Z - function_overloads: 2023-07-07T19:59:25.1103583Z - onnx_args: 2023-07-07T19:59:25.1103698Z - onnx_kwargs: 2023-07-07T19:59:25.1103990Z - diagnostic_context: 2023-07-07T19:59:25.1104201Z - Return value: 2023-07-07T19:59:25.1104467Z [2023-07-07 19:56:26,623] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1104668Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1104675Z 2023-07-07T19:59:25.1104872Z [2023-07-07 19:56:26,623] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1105074Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1105132Z 2023-07-07T19:59:25.1105317Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1105581Z - self: 2023-07-07T19:59:25.1105775Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1105875Z - aten_name: 2023-07-07T19:59:25.1106005Z - function_overloads: 2023-07-07T19:59:25.1106122Z - onnx_args: 2023-07-07T19:59:25.1106238Z - onnx_kwargs: 2023-07-07T19:59:25.1106545Z - diagnostic_context: 2023-07-07T19:59:25.1106755Z - Return value: 2023-07-07T19:59:25.1107020Z [2023-07-07 19:56:26,717] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1107150Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1107160Z 2023-07-07T19:59:25.1107356Z [2023-07-07 19:56:26,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1107555Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1107561Z 2023-07-07T19:59:25.1107742Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1108008Z - self: 2023-07-07T19:59:25.1108204Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1108317Z - aten_name: 2023-07-07T19:59:25.1108447Z - function_overloads: 2023-07-07T19:59:25.1108550Z - onnx_args: 2023-07-07T19:59:25.1108666Z - onnx_kwargs: 2023-07-07T19:59:25.1108967Z - diagnostic_context: 2023-07-07T19:59:25.1109183Z - Return value: 2023-07-07T19:59:25.1109448Z [2023-07-07 19:56:26,814] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1109588Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1109594Z 2023-07-07T19:59:25.1109788Z [2023-07-07 19:56:26,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1109988Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1109993Z 2023-07-07T19:59:25.1110179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1110433Z - self: 2023-07-07T19:59:25.1110628Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1110793Z - aten_name: 2023-07-07T19:59:25.1110971Z - function_overloads: 2023-07-07T19:59:25.1111120Z - onnx_args: 2023-07-07T19:59:25.1111248Z - onnx_kwargs: 2023-07-07T19:59:25.1111751Z - diagnostic_context: 2023-07-07T19:59:25.1111993Z - Return value: 2023-07-07T19:59:25.1112291Z [2023-07-07 19:56:26,911] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1112461Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1112532Z 2023-07-07T19:59:25.1112771Z [2023-07-07 19:56:26,911] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1112999Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1113005Z 2023-07-07T19:59:25.1113176Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1113528Z - self: 2023-07-07T19:59:25.1113750Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1113914Z - aten_name: 2023-07-07T19:59:25.1114076Z - function_overloads: 2023-07-07T19:59:25.1114229Z - onnx_args: 2023-07-07T19:59:25.1114374Z - onnx_kwargs: 2023-07-07T19:59:25.1114791Z - diagnostic_context: 2023-07-07T19:59:25.1114999Z - Return value: 2023-07-07T19:59:25.1115138Z PASSED [0.4329s] [ 17%] 2023-07-07T19:59:25.1115667Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_int16 [2023-07-07 19:56:27,004] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1115844Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1115851Z 2023-07-07T19:59:25.1116101Z [2023-07-07 19:56:27,004] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1116344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1116351Z 2023-07-07T19:59:25.1116563Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1116865Z - self: 2023-07-07T19:59:25.1117092Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1117194Z - aten_name: 2023-07-07T19:59:25.1117353Z - function_overloads: 2023-07-07T19:59:25.1117499Z - onnx_args: 2023-07-07T19:59:25.1117643Z - onnx_kwargs: 2023-07-07T19:59:25.1118004Z - diagnostic_context: 2023-07-07T19:59:25.1118251Z - Return value: 2023-07-07T19:59:25.1118548Z [2023-07-07 19:56:27,088] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1118678Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1118727Z 2023-07-07T19:59:25.1118911Z [2023-07-07 19:56:27,088] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1119147Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1119153Z 2023-07-07T19:59:25.1119397Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1119692Z - self: 2023-07-07T19:59:25.1119922Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1120087Z - aten_name: 2023-07-07T19:59:25.1120249Z - function_overloads: 2023-07-07T19:59:25.1120395Z - onnx_args: 2023-07-07T19:59:25.1120500Z - onnx_kwargs: 2023-07-07T19:59:25.1120833Z - diagnostic_context: 2023-07-07T19:59:25.1121075Z - Return value: 2023-07-07T19:59:25.1121373Z [2023-07-07 19:56:27,174] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1121625Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1121633Z 2023-07-07T19:59:25.1121861Z [2023-07-07 19:56:27,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1122127Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1122206Z 2023-07-07T19:59:25.1122438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1122696Z - self: 2023-07-07T19:59:25.1123083Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1123294Z - aten_name: 2023-07-07T19:59:25.1123530Z - function_overloads: 2023-07-07T19:59:25.1123738Z - onnx_args: 2023-07-07T19:59:25.1123946Z - onnx_kwargs: 2023-07-07T19:59:25.1124555Z - diagnostic_context: 2023-07-07T19:59:25.1124948Z - Return value: 2023-07-07T19:59:25.1125350Z [2023-07-07 19:56:27,280] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1125595Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1125609Z 2023-07-07T19:59:25.1125945Z [2023-07-07 19:56:27,280] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1126280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1126289Z 2023-07-07T19:59:25.1126597Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1127038Z - self: 2023-07-07T19:59:25.1127372Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1127576Z - aten_name: 2023-07-07T19:59:25.1127832Z - function_overloads: 2023-07-07T19:59:25.1127998Z - onnx_args: 2023-07-07T19:59:25.1128217Z - onnx_kwargs: 2023-07-07T19:59:25.1128746Z - diagnostic_context: 2023-07-07T19:59:25.1129103Z - Return value: 2023-07-07T19:59:25.1129536Z [2023-07-07 19:56:27,376] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1129779Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1129788Z 2023-07-07T19:59:25.1130115Z [2023-07-07 19:56:27,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1130451Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1130465Z 2023-07-07T19:59:25.1130725Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1131192Z - self: 2023-07-07T19:59:25.1131525Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1131725Z - aten_name: 2023-07-07T19:59:25.1131959Z - function_overloads: 2023-07-07T19:59:25.1132166Z - onnx_args: 2023-07-07T19:59:25.1132374Z - onnx_kwargs: 2023-07-07T19:59:25.1132823Z - diagnostic_context: 2023-07-07T19:59:25.1133173Z - Return value: 2023-07-07T19:59:25.1133327Z PASSED [0.4491s] [ 18%] 2023-07-07T19:59:25.1134286Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_int32 [2023-07-07 19:56:27,462] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1134537Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1134545Z 2023-07-07T19:59:25.1134879Z [2023-07-07 19:56:27,462] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1135216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1135304Z 2023-07-07T19:59:25.1135623Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1136065Z - self: 2023-07-07T19:59:25.1136399Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1136557Z - aten_name: 2023-07-07T19:59:25.1136792Z - function_overloads: 2023-07-07T19:59:25.1137021Z - onnx_args: 2023-07-07T19:59:25.1137236Z - onnx_kwargs: 2023-07-07T19:59:25.1137731Z - diagnostic_context: 2023-07-07T19:59:25.1138092Z - Return value: 2023-07-07T19:59:25.1138541Z [2023-07-07 19:56:27,545] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1138756Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1138815Z 2023-07-07T19:59:25.1139045Z [2023-07-07 19:56:27,545] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1139278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1139284Z 2023-07-07T19:59:25.1139528Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1139861Z - self: 2023-07-07T19:59:25.1140087Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1140237Z - aten_name: 2023-07-07T19:59:25.1140398Z - function_overloads: 2023-07-07T19:59:25.1140545Z - onnx_args: 2023-07-07T19:59:25.1140649Z - onnx_kwargs: 2023-07-07T19:59:25.1140985Z - diagnostic_context: 2023-07-07T19:59:25.1141228Z - Return value: 2023-07-07T19:59:25.1141524Z [2023-07-07 19:56:27,625] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1141719Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1141726Z 2023-07-07T19:59:25.1141959Z [2023-07-07 19:56:27,625] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1142194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1142200Z 2023-07-07T19:59:25.1142414Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1142666Z - self: 2023-07-07T19:59:25.1142886Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1143032Z - aten_name: 2023-07-07T19:59:25.1143217Z - function_overloads: 2023-07-07T19:59:25.1143361Z - onnx_args: 2023-07-07T19:59:25.1143534Z - onnx_kwargs: 2023-07-07T19:59:25.1143863Z - diagnostic_context: 2023-07-07T19:59:25.1144102Z - Return value: 2023-07-07T19:59:25.1144422Z [2023-07-07 19:56:27,721] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1144595Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1144601Z 2023-07-07T19:59:25.1144822Z [2023-07-07 19:56:27,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1145053Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1145122Z 2023-07-07T19:59:25.1145338Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1145630Z - self: 2023-07-07T19:59:25.1145891Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1146032Z - aten_name: 2023-07-07T19:59:25.1146152Z - function_overloads: 2023-07-07T19:59:25.1146294Z - onnx_args: 2023-07-07T19:59:25.1146437Z - onnx_kwargs: 2023-07-07T19:59:25.1146811Z - diagnostic_context: 2023-07-07T19:59:25.1147047Z - Return value: 2023-07-07T19:59:25.1147339Z [2023-07-07 19:56:27,824] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1147510Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1147520Z 2023-07-07T19:59:25.1147762Z [2023-07-07 19:56:27,824] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1147948Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1147994Z 2023-07-07T19:59:25.1148166Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1148461Z - self: 2023-07-07T19:59:25.1148692Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1148836Z - aten_name: 2023-07-07T19:59:25.1148995Z - function_overloads: 2023-07-07T19:59:25.1149139Z - onnx_args: 2023-07-07T19:59:25.1149286Z - onnx_kwargs: 2023-07-07T19:59:25.1149573Z - diagnostic_context: 2023-07-07T19:59:25.1149842Z - Return value: 2023-07-07T19:59:25.1149948Z PASSED [0.4591s] [ 18%] 2023-07-07T19:59:25.1150484Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_int64 [2023-07-07 19:56:27,916] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1150687Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1150693Z 2023-07-07T19:59:25.1150924Z [2023-07-07 19:56:27,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1151153Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1151159Z 2023-07-07T19:59:25.1151371Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1151667Z - self: 2023-07-07T19:59:25.1151915Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1152018Z - aten_name: 2023-07-07T19:59:25.1152183Z - function_overloads: 2023-07-07T19:59:25.1152329Z - onnx_args: 2023-07-07T19:59:25.1152476Z - onnx_kwargs: 2023-07-07T19:59:25.1152811Z - diagnostic_context: 2023-07-07T19:59:25.1153051Z - Return value: 2023-07-07T19:59:25.1153414Z [2023-07-07 19:56:28,011] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1153545Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1153551Z 2023-07-07T19:59:25.1153785Z [2023-07-07 19:56:28,011] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1154037Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1154096Z 2023-07-07T19:59:25.1154337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1154709Z - self: 2023-07-07T19:59:25.1154939Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1155081Z - aten_name: 2023-07-07T19:59:25.1155250Z - function_overloads: 2023-07-07T19:59:25.1155353Z - onnx_args: 2023-07-07T19:59:25.1155506Z - onnx_kwargs: 2023-07-07T19:59:25.1155839Z - diagnostic_context: 2023-07-07T19:59:25.1156100Z - Return value: 2023-07-07T19:59:25.1156396Z [2023-07-07 19:56:28,084] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1156573Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1156579Z 2023-07-07T19:59:25.1156808Z [2023-07-07 19:56:28,084] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1157042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1157048Z 2023-07-07T19:59:25.1157261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1157520Z - self: 2023-07-07T19:59:25.1157746Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1157887Z - aten_name: 2023-07-07T19:59:25.1158096Z - function_overloads: 2023-07-07T19:59:25.1158240Z - onnx_args: 2023-07-07T19:59:25.1158385Z - onnx_kwargs: 2023-07-07T19:59:25.1158730Z - diagnostic_context: 2023-07-07T19:59:25.1158927Z - Return value: 2023-07-07T19:59:25.1159224Z [2023-07-07 19:56:28,173] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1159394Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1159399Z 2023-07-07T19:59:25.1159627Z [2023-07-07 19:56:28,173] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1159861Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1159867Z 2023-07-07T19:59:25.1160096Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1160394Z - self: 2023-07-07T19:59:25.1160632Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1160775Z - aten_name: 2023-07-07T19:59:25.1160893Z - function_overloads: 2023-07-07T19:59:25.1161035Z - onnx_args: 2023-07-07T19:59:25.1161182Z - onnx_kwargs: 2023-07-07T19:59:25.1161514Z - diagnostic_context: 2023-07-07T19:59:25.1161754Z - Return value: 2023-07-07T19:59:25.1162174Z [2023-07-07 19:56:28,256] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1162346Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1162353Z 2023-07-07T19:59:25.1162579Z [2023-07-07 19:56:28,256] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1162766Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1162868Z 2023-07-07T19:59:25.1163036Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1163331Z - self: 2023-07-07T19:59:25.1163556Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1163705Z - aten_name: 2023-07-07T19:59:25.1163864Z - function_overloads: 2023-07-07T19:59:25.1164032Z - onnx_args: 2023-07-07T19:59:25.1164177Z - onnx_kwargs: 2023-07-07T19:59:25.1164643Z - diagnostic_context: 2023-07-07T19:59:25.1164895Z - Return value: 2023-07-07T19:59:25.1165004Z PASSED [0.4154s] [ 18%] 2023-07-07T19:59:25.1165529Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_int8 [2023-07-07 19:56:28,338] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1165746Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1165752Z 2023-07-07T19:59:25.1165979Z [2023-07-07 19:56:28,338] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1166213Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1166219Z 2023-07-07T19:59:25.1166460Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1257740Z - self: 2023-07-07T19:59:25.1258272Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1258461Z - aten_name: 2023-07-07T19:59:25.1258614Z - function_overloads: 2023-07-07T19:59:25.1258752Z - onnx_args: 2023-07-07T19:59:25.1258882Z - onnx_kwargs: 2023-07-07T19:59:25.1259324Z - diagnostic_context: 2023-07-07T19:59:25.1259614Z - Return value: 2023-07-07T19:59:25.1260024Z [2023-07-07 19:56:28,406] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1260205Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1260218Z 2023-07-07T19:59:25.1260525Z [2023-07-07 19:56:28,406] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1260816Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1260836Z 2023-07-07T19:59:25.1261100Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1261452Z - self: 2023-07-07T19:59:25.1261653Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1261760Z - aten_name: 2023-07-07T19:59:25.1261885Z - function_overloads: 2023-07-07T19:59:25.1261995Z - onnx_args: 2023-07-07T19:59:25.1262104Z - onnx_kwargs: 2023-07-07T19:59:25.1262398Z - diagnostic_context: 2023-07-07T19:59:25.1262603Z - Return value: 2023-07-07T19:59:25.1263110Z [2023-07-07 19:56:28,462] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1263250Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1263257Z 2023-07-07T19:59:25.1263449Z [2023-07-07 19:56:28,462] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1263645Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1263758Z 2023-07-07T19:59:25.1263938Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1264199Z - self: 2023-07-07T19:59:25.1264389Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1264491Z - aten_name: 2023-07-07T19:59:25.1264615Z - function_overloads: 2023-07-07T19:59:25.1264727Z - onnx_args: 2023-07-07T19:59:25.1264837Z - onnx_kwargs: 2023-07-07T19:59:25.1265135Z - diagnostic_context: 2023-07-07T19:59:25.1265338Z - Return value: 2023-07-07T19:59:25.1265599Z [2023-07-07 19:56:28,547] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1265740Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1265746Z 2023-07-07T19:59:25.1265930Z [2023-07-07 19:56:28,547] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1266126Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1266132Z 2023-07-07T19:59:25.1266307Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1266573Z - self: 2023-07-07T19:59:25.1266763Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1266870Z - aten_name: 2023-07-07T19:59:25.1266994Z - function_overloads: 2023-07-07T19:59:25.1267102Z - onnx_args: 2023-07-07T19:59:25.1267206Z - onnx_kwargs: 2023-07-07T19:59:25.1267509Z - diagnostic_context: 2023-07-07T19:59:25.1267714Z - Return value: 2023-07-07T19:59:25.1267974Z [2023-07-07 19:56:28,636] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1268108Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1268114Z 2023-07-07T19:59:25.1268302Z [2023-07-07 19:56:28,636] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1268498Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1268504Z 2023-07-07T19:59:25.1268680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1268940Z - self: 2023-07-07T19:59:25.1269129Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1269235Z - aten_name: 2023-07-07T19:59:25.1269362Z - function_overloads: 2023-07-07T19:59:25.1269470Z - onnx_args: 2023-07-07T19:59:25.1269581Z - onnx_kwargs: 2023-07-07T19:59:25.1269879Z - diagnostic_context: 2023-07-07T19:59:25.1270085Z - Return value: 2023-07-07T19:59:25.1270152Z PASSED [0.3781s] [ 18%] 2023-07-07T19:59:25.1270713Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_cpu_uint8 [2023-07-07 19:56:28,715] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1270852Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1270858Z 2023-07-07T19:59:25.1271048Z [2023-07-07 19:56:28,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1271317Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1271324Z 2023-07-07T19:59:25.1271500Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1271761Z - self: 2023-07-07T19:59:25.1271950Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1272055Z - aten_name: 2023-07-07T19:59:25.1272178Z - function_overloads: 2023-07-07T19:59:25.1272289Z - onnx_args: 2023-07-07T19:59:25.1272400Z - onnx_kwargs: 2023-07-07T19:59:25.1272697Z - diagnostic_context: 2023-07-07T19:59:25.1272901Z - Return value: 2023-07-07T19:59:25.1273167Z [2023-07-07 19:56:28,789] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1273303Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1273309Z 2023-07-07T19:59:25.1273498Z [2023-07-07 19:56:28,789] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1273687Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1273698Z 2023-07-07T19:59:25.1273873Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1274136Z - self: 2023-07-07T19:59:25.1274326Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1274435Z - aten_name: 2023-07-07T19:59:25.1274719Z - function_overloads: 2023-07-07T19:59:25.1274834Z - onnx_args: 2023-07-07T19:59:25.1274943Z - onnx_kwargs: 2023-07-07T19:59:25.1275233Z - diagnostic_context: 2023-07-07T19:59:25.1275439Z - Return value: 2023-07-07T19:59:25.1275699Z [2023-07-07 19:56:28,859] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1275835Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1275841Z 2023-07-07T19:59:25.1276034Z [2023-07-07 19:56:28,859] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1276227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1276234Z 2023-07-07T19:59:25.1276411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1276673Z - self: 2023-07-07T19:59:25.1276871Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1276973Z - aten_name: 2023-07-07T19:59:25.1277099Z - function_overloads: 2023-07-07T19:59:25.1277210Z - onnx_args: 2023-07-07T19:59:25.1277321Z - onnx_kwargs: 2023-07-07T19:59:25.1277617Z - diagnostic_context: 2023-07-07T19:59:25.1277822Z - Return value: 2023-07-07T19:59:25.1278146Z [2023-07-07 19:56:28,939] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1278284Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1278290Z 2023-07-07T19:59:25.1278477Z [2023-07-07 19:56:28,939] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1278844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1278852Z 2023-07-07T19:59:25.1279120Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1279519Z - self: 2023-07-07T19:59:25.1279812Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1279978Z - aten_name: 2023-07-07T19:59:25.1280172Z - function_overloads: 2023-07-07T19:59:25.1280348Z - onnx_args: 2023-07-07T19:59:25.1280513Z - onnx_kwargs: 2023-07-07T19:59:25.1280971Z - diagnostic_context: 2023-07-07T19:59:25.1281283Z - Return value: 2023-07-07T19:59:25.1281686Z [2023-07-07 19:56:29,015] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1281895Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1281903Z 2023-07-07T19:59:25.1282189Z [2023-07-07 19:56:29,015] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1282484Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1282492Z 2023-07-07T19:59:25.1282758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1283162Z - self: 2023-07-07T19:59:25.1283450Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1283617Z - aten_name: 2023-07-07T19:59:25.1283813Z - function_overloads: 2023-07-07T19:59:25.1283982Z - onnx_args: 2023-07-07T19:59:25.1284151Z - onnx_kwargs: 2023-07-07T19:59:25.1284732Z - diagnostic_context: 2023-07-07T19:59:25.1285053Z - Return value: 2023-07-07T19:59:25.1285155Z PASSED [0.3806s] [ 18%] 2023-07-07T19:59:25.1285934Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_bool [2023-07-07 19:56:29,160] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1286150Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1286159Z 2023-07-07T19:59:25.1286453Z [2023-07-07 19:56:29,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1286751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1286759Z 2023-07-07T19:59:25.1287027Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1287434Z - self: 2023-07-07T19:59:25.1287729Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1287897Z - aten_name: 2023-07-07T19:59:25.1288083Z - function_overloads: 2023-07-07T19:59:25.1288252Z - onnx_args: 2023-07-07T19:59:25.1288422Z - onnx_kwargs: 2023-07-07T19:59:25.1288873Z - diagnostic_context: 2023-07-07T19:59:25.1289292Z - Return value: 2023-07-07T19:59:25.1289399Z XFAIL [0.1383s] [ 18%] 2023-07-07T19:59:25.1290186Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_float16 [2023-07-07 19:56:29,290] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1290483Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1290490Z 2023-07-07T19:59:25.1290777Z [2023-07-07 19:56:29,290] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1291073Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1291082Z 2023-07-07T19:59:25.1291354Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1291766Z - self: 2023-07-07T19:59:25.1292070Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1292245Z - aten_name: 2023-07-07T19:59:25.1292447Z - function_overloads: 2023-07-07T19:59:25.1292623Z - onnx_args: 2023-07-07T19:59:25.1292787Z - onnx_kwargs: 2023-07-07T19:59:25.1293253Z - diagnostic_context: 2023-07-07T19:59:25.1293576Z - Return value: 2023-07-07T19:59:25.1293690Z XFAIL [0.1258s] [ 19%] 2023-07-07T19:59:25.1294474Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_float32 [2023-07-07 19:56:29,418] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1294690Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1294704Z 2023-07-07T19:59:25.1295002Z [2023-07-07 19:56:29,419] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1295309Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1295317Z 2023-07-07T19:59:25.1295593Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1295978Z - self: 2023-07-07T19:59:25.1296249Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1296367Z - aten_name: 2023-07-07T19:59:25.1296503Z - function_overloads: 2023-07-07T19:59:25.1296619Z - onnx_args: 2023-07-07T19:59:25.1296736Z - onnx_kwargs: 2023-07-07T19:59:25.1297039Z - diagnostic_context: 2023-07-07T19:59:25.1297255Z - Return value: 2023-07-07T19:59:25.1297317Z XFAIL [0.1263s] [ 19%] 2023-07-07T19:59:25.1297832Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_int16 [2023-07-07 19:56:29,550] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1297979Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1297985Z 2023-07-07T19:59:25.1298186Z [2023-07-07 19:56:29,550] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1298389Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1298395Z 2023-07-07T19:59:25.1298577Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1298925Z - self: 2023-07-07T19:59:25.1299127Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1299241Z - aten_name: 2023-07-07T19:59:25.1299360Z - function_overloads: 2023-07-07T19:59:25.1299475Z - onnx_args: 2023-07-07T19:59:25.1299592Z - onnx_kwargs: 2023-07-07T19:59:25.1299898Z - diagnostic_context: 2023-07-07T19:59:25.1300173Z - Return value: 2023-07-07T19:59:25.1300249Z XFAIL [0.1280s] [ 19%] 2023-07-07T19:59:25.1300767Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_int32 [2023-07-07 19:56:29,678] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1300911Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1300917Z 2023-07-07T19:59:25.1301109Z [2023-07-07 19:56:29,678] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1301315Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1301321Z 2023-07-07T19:59:25.1301504Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1301776Z - self: 2023-07-07T19:59:25.1301975Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1302089Z - aten_name: 2023-07-07T19:59:25.1302222Z - function_overloads: 2023-07-07T19:59:25.1302338Z - onnx_args: 2023-07-07T19:59:25.1302441Z - onnx_kwargs: 2023-07-07T19:59:25.1302747Z - diagnostic_context: 2023-07-07T19:59:25.1302962Z - Return value: 2023-07-07T19:59:25.1303038Z XFAIL [0.1328s] [ 19%] 2023-07-07T19:59:25.1303555Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_int64 [2023-07-07 19:56:29,811] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1303703Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1303709Z 2023-07-07T19:59:25.1303907Z [2023-07-07 19:56:29,811] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1304109Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1304114Z 2023-07-07T19:59:25.1304300Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1304570Z - self: 2023-07-07T19:59:25.1304757Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1304872Z - aten_name: 2023-07-07T19:59:25.1305004Z - function_overloads: 2023-07-07T19:59:25.1305122Z - onnx_args: 2023-07-07T19:59:25.1305238Z - onnx_kwargs: 2023-07-07T19:59:25.1305543Z - diagnostic_context: 2023-07-07T19:59:25.1305760Z - Return value: 2023-07-07T19:59:25.1305822Z XFAIL [0.1237s] [ 19%] 2023-07-07T19:59:25.1306340Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_int8 [2023-07-07 19:56:29,948] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1306482Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1306488Z 2023-07-07T19:59:25.1306751Z [2023-07-07 19:56:29,948] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1306957Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1306963Z 2023-07-07T19:59:25.1307144Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1307470Z - self: 2023-07-07T19:59:25.1307667Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1307781Z - aten_name: 2023-07-07T19:59:25.1307902Z - function_overloads: 2023-07-07T19:59:25.1308018Z - onnx_args: 2023-07-07T19:59:25.1308138Z - onnx_kwargs: 2023-07-07T19:59:25.1308474Z - diagnostic_context: 2023-07-07T19:59:25.1308691Z - Return value: 2023-07-07T19:59:25.1308771Z XFAIL [0.1357s] [ 20%] 2023-07-07T19:59:25.1309281Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_as_strided_partial_views_cpu_uint8 [2023-07-07 19:56:30,083] torch.onnx: [WARNING] FX Node: call_function:aten.as_strided.default[name=as_strided]. 2023-07-07T19:59:25.1309425Z ONNX Node: aten_as_strided[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1309435Z 2023-07-07T19:59:25.1309619Z [2023-07-07 19:56:30,083] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1309822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1309828Z 2023-07-07T19:59:25.1310009Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1310275Z - self: 2023-07-07T19:59:25.1310477Z - node: fx.Node(as_strided[call_function]'aten.as_strided.default') 2023-07-07T19:59:25.1310591Z - aten_name: 2023-07-07T19:59:25.1310724Z - function_overloads: 2023-07-07T19:59:25.1310839Z - onnx_args: 2023-07-07T19:59:25.1310943Z - onnx_kwargs: 2023-07-07T19:59:25.1311247Z - diagnostic_context: 2023-07-07T19:59:25.1311461Z - Return value: 2023-07-07T19:59:25.1311536Z XFAIL [0.1424s] [ 20%] 2023-07-07T19:59:25.1311773Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_bool PASSED [0.0507s] [ 20%] 2023-07-07T19:59:25.1312009Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_float16 PASSED [0.0512s] [ 20%] 2023-07-07T19:59:25.1312240Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_float32 PASSED [0.0427s] [ 20%] 2023-07-07T19:59:25.1312469Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_int16 PASSED [0.0477s] [ 20%] 2023-07-07T19:59:25.1312693Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_int32 PASSED [0.0462s] [ 21%] 2023-07-07T19:59:25.1312902Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_int64 PASSED [0.0467s] [ 21%] 2023-07-07T19:59:25.1313135Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_int8 PASSED [0.0456s] [ 21%] 2023-07-07T19:59:25.1313356Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asin_cpu_uint8 PASSED [0.0475s] [ 21%] 2023-07-07T19:59:25.1313576Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_bool PASSED [0.0457s] [ 21%] 2023-07-07T19:59:25.1313897Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_float16 PASSED [0.0507s] [ 21%] 2023-07-07T19:59:25.1314135Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_float32 PASSED [0.0432s] [ 22%] 2023-07-07T19:59:25.1314368Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_int16 PASSED [0.0464s] [ 22%] 2023-07-07T19:59:25.1314752Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_int32 PASSED [0.0464s] [ 22%] 2023-07-07T19:59:25.1314979Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_int64 PASSED [0.0467s] [ 22%] 2023-07-07T19:59:25.1315207Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_int8 PASSED [0.0459s] [ 22%] 2023-07-07T19:59:25.1315423Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_asinh_cpu_uint8 PASSED [0.2198s] [ 23%] 2023-07-07T19:59:25.1315718Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_bool PASSED [0.0474s] [ 23%] 2023-07-07T19:59:25.1315950Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_float16 PASSED [0.0509s] [ 23%] 2023-07-07T19:59:25.1316182Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_float32 PASSED [0.0429s] [ 23%] 2023-07-07T19:59:25.1316408Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int16 PASSED [0.0467s] [ 23%] 2023-07-07T19:59:25.1316630Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int32 PASSED [0.0531s] [ 23%] 2023-07-07T19:59:25.1316853Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int64 PASSED [0.0467s] [ 24%] 2023-07-07T19:59:25.1317079Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int8 PASSED [0.0463s] [ 24%] 2023-07-07T19:59:25.1317300Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_uint8 PASSED [0.0589s] [ 24%] 2023-07-07T19:59:25.1317521Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_bool PASSED [0.0471s] [ 24%] 2023-07-07T19:59:25.1317743Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_float16 PASSED [0.0548s] [ 24%] 2023-07-07T19:59:25.1317981Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_float32 PASSED [0.0423s] [ 25%] 2023-07-07T19:59:25.1318210Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_int16 PASSED [0.0446s] [ 25%] 2023-07-07T19:59:25.1318438Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_int32 PASSED [0.0460s] [ 25%] 2023-07-07T19:59:25.1318663Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_int64 PASSED [0.0445s] [ 25%] 2023-07-07T19:59:25.1318889Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_int8 PASSED [0.0457s] [ 25%] 2023-07-07T19:59:25.1319117Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atanh_cpu_uint8 PASSED [0.0452s] [ 25%] 2023-07-07T19:59:25.1319351Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_bool PASSED [0.2531s] [ 26%] 2023-07-07T19:59:25.1319592Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_float16 PASSED [0.2697s] [ 26%] 2023-07-07T19:59:25.1319892Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_float32 PASSED [0.2710s] [ 26%] 2023-07-07T19:59:25.1320133Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_int16 PASSED [0.2599s] [ 26%] 2023-07-07T19:59:25.1320355Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_int32 PASSED [0.3147s] [ 26%] 2023-07-07T19:59:25.1320646Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_int64 PASSED [0.3145s] [ 26%] 2023-07-07T19:59:25.1320878Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_int8 PASSED [0.2964s] [ 27%] 2023-07-07T19:59:25.1321112Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_1d_cpu_uint8 PASSED [0.2431s] [ 27%] 2023-07-07T19:59:25.1321617Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_bool [2023-07-07 19:56:34,225] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1321761Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1321769Z 2023-07-07T19:59:25.1321972Z [2023-07-07 19:56:34,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1322181Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1322187Z 2023-07-07T19:59:25.1322372Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1322644Z - self: 2023-07-07T19:59:25.1322829Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1322945Z - aten_name: 2023-07-07T19:59:25.1323078Z - function_overloads: 2023-07-07T19:59:25.1323199Z - onnx_args: 2023-07-07T19:59:25.1323317Z - onnx_kwargs: 2023-07-07T19:59:25.1323623Z - diagnostic_context: 2023-07-07T19:59:25.1323783Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1324054Z [2023-07-07 19:56:34,336] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1324187Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1324193Z 2023-07-07T19:59:25.1324528Z [2023-07-07 19:56:34,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1324764Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1324771Z 2023-07-07T19:59:25.1324955Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1325239Z - self: 2023-07-07T19:59:25.1325441Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1325555Z - aten_name: 2023-07-07T19:59:25.1325689Z - function_overloads: 2023-07-07T19:59:25.1325791Z - onnx_args: 2023-07-07T19:59:25.1325908Z - onnx_kwargs: 2023-07-07T19:59:25.1326216Z - diagnostic_context: 2023-07-07T19:59:25.1326377Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1326457Z PASSED [0.2563s] [ 27%] 2023-07-07T19:59:25.1326958Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_float16 [2023-07-07 19:56:34,483] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1327101Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1327199Z 2023-07-07T19:59:25.1327404Z [2023-07-07 19:56:34,483] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1327596Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1327616Z 2023-07-07T19:59:25.1327786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1328150Z - self: 2023-07-07T19:59:25.1328350Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1328464Z - aten_name: 2023-07-07T19:59:25.1328598Z - function_overloads: 2023-07-07T19:59:25.1328715Z - onnx_args: 2023-07-07T19:59:25.1328832Z - onnx_kwargs: 2023-07-07T19:59:25.1329124Z - diagnostic_context: 2023-07-07T19:59:25.1329287Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1329562Z [2023-07-07 19:56:34,597] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1329705Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1329711Z 2023-07-07T19:59:25.1329909Z [2023-07-07 19:56:34,597] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1330117Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1330123Z 2023-07-07T19:59:25.1330305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1330574Z - self: 2023-07-07T19:59:25.1330773Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1330875Z - aten_name: 2023-07-07T19:59:25.1331012Z - function_overloads: 2023-07-07T19:59:25.1331128Z - onnx_args: 2023-07-07T19:59:25.1331246Z - onnx_kwargs: 2023-07-07T19:59:25.1331551Z - diagnostic_context: 2023-07-07T19:59:25.1331709Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1331786Z PASSED [0.2595s] [ 27%] 2023-07-07T19:59:25.1332288Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_float32 [2023-07-07 19:56:34,748] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1332417Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1332423Z 2023-07-07T19:59:25.1332622Z [2023-07-07 19:56:34,748] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1332823Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1332833Z 2023-07-07T19:59:25.1333017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1333288Z - self: 2023-07-07T19:59:25.1333487Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1333603Z - aten_name: 2023-07-07T19:59:25.1333735Z - function_overloads: 2023-07-07T19:59:25.1333839Z - onnx_args: 2023-07-07T19:59:25.1333956Z - onnx_kwargs: 2023-07-07T19:59:25.1334260Z - diagnostic_context: 2023-07-07T19:59:25.1334418Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1334687Z [2023-07-07 19:56:34,904] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1334888Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1334895Z 2023-07-07T19:59:25.1335095Z [2023-07-07 19:56:34,904] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1335298Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1335304Z 2023-07-07T19:59:25.1335487Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1335796Z - self: 2023-07-07T19:59:25.1335995Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1336109Z - aten_name: 2023-07-07T19:59:25.1336243Z - function_overloads: 2023-07-07T19:59:25.1336359Z - onnx_args: 2023-07-07T19:59:25.1336476Z - onnx_kwargs: 2023-07-07T19:59:25.1336780Z - diagnostic_context: 2023-07-07T19:59:25.1336928Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1337008Z PASSED [0.3080s] [ 27%] 2023-07-07T19:59:25.1337498Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_int16 [2023-07-07 19:56:35,104] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1337648Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1337654Z 2023-07-07T19:59:25.1337852Z [2023-07-07 19:56:35,104] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1338054Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1338060Z 2023-07-07T19:59:25.1338243Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1338510Z - self: 2023-07-07T19:59:25.1338714Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1338815Z - aten_name: 2023-07-07T19:59:25.1338948Z - function_overloads: 2023-07-07T19:59:25.1339062Z - onnx_args: 2023-07-07T19:59:25.1339181Z - onnx_kwargs: 2023-07-07T19:59:25.1339482Z - diagnostic_context: 2023-07-07T19:59:25.1339644Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1339916Z [2023-07-07 19:56:35,238] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1340057Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1340063Z 2023-07-07T19:59:25.1340248Z [2023-07-07 19:56:35,238] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1340454Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1340459Z 2023-07-07T19:59:25.1340643Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1340911Z - self: 2023-07-07T19:59:25.1341114Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1341233Z - aten_name: 2023-07-07T19:59:25.1341367Z - function_overloads: 2023-07-07T19:59:25.1341483Z - onnx_args: 2023-07-07T19:59:25.1341586Z - onnx_kwargs: 2023-07-07T19:59:25.1341888Z - diagnostic_context: 2023-07-07T19:59:25.1342046Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1342123Z PASSED [0.3321s] [ 28%] 2023-07-07T19:59:25.1342679Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_int32 [2023-07-07 19:56:35,421] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1342823Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1342829Z 2023-07-07T19:59:25.1343030Z [2023-07-07 19:56:35,421] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1343234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1343296Z 2023-07-07T19:59:25.1343479Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1343735Z - self: 2023-07-07T19:59:25.1343937Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1344050Z - aten_name: 2023-07-07T19:59:25.1344183Z - function_overloads: 2023-07-07T19:59:25.1344299Z - onnx_args: 2023-07-07T19:59:25.1344420Z - onnx_kwargs: 2023-07-07T19:59:25.1344726Z - diagnostic_context: 2023-07-07T19:59:25.1344869Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1345139Z [2023-07-07 19:56:35,566] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1345286Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1345292Z 2023-07-07T19:59:25.1345491Z [2023-07-07 19:56:35,567] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1345694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1345700Z 2023-07-07T19:59:25.1345884Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1346156Z - self: 2023-07-07T19:59:25.1346357Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1346471Z - aten_name: 2023-07-07T19:59:25.1346590Z - function_overloads: 2023-07-07T19:59:25.1346706Z - onnx_args: 2023-07-07T19:59:25.1346822Z - onnx_kwargs: 2023-07-07T19:59:25.1347134Z - diagnostic_context: 2023-07-07T19:59:25.1347293Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1347371Z PASSED [0.3263s] [ 28%] 2023-07-07T19:59:25.1347863Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_int64 [2023-07-07 19:56:35,761] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1348006Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1348012Z 2023-07-07T19:59:25.1348201Z [2023-07-07 19:56:35,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1348409Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1348415Z 2023-07-07T19:59:25.1348597Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1348868Z - self: 2023-07-07T19:59:25.1349068Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1349182Z - aten_name: 2023-07-07T19:59:25.1349315Z - function_overloads: 2023-07-07T19:59:25.1349431Z - onnx_args: 2023-07-07T19:59:25.1349536Z - onnx_kwargs: 2023-07-07T19:59:25.1349842Z - diagnostic_context: 2023-07-07T19:59:25.1349999Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1350327Z [2023-07-07 19:56:35,945] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1350474Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1350480Z 2023-07-07T19:59:25.1350678Z [2023-07-07 19:56:35,945] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1350942Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1350948Z 2023-07-07T19:59:25.1351131Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1351398Z - self: 2023-07-07T19:59:25.1351583Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1351698Z - aten_name: 2023-07-07T19:59:25.1351832Z - function_overloads: 2023-07-07T19:59:25.1351953Z - onnx_args: 2023-07-07T19:59:25.1352071Z - onnx_kwargs: 2023-07-07T19:59:25.1352375Z - diagnostic_context: 2023-07-07T19:59:25.1352533Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1352597Z PASSED [0.3766s] [ 28%] 2023-07-07T19:59:25.1353086Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_int8 [2023-07-07 19:56:36,160] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1353233Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1353238Z 2023-07-07T19:59:25.1353436Z [2023-07-07 19:56:36,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1353639Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1353645Z 2023-07-07T19:59:25.1353832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1354101Z - self: 2023-07-07T19:59:25.1354300Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1354415Z - aten_name: 2023-07-07T19:59:25.1354624Z - function_overloads: 2023-07-07T19:59:25.1354741Z - onnx_args: 2023-07-07T19:59:25.1354859Z - onnx_kwargs: 2023-07-07T19:59:25.1355162Z - diagnostic_context: 2023-07-07T19:59:25.1355322Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1355592Z [2023-07-07 19:56:36,337] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1355734Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1355740Z 2023-07-07T19:59:25.1355947Z [2023-07-07 19:56:36,337] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1356137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1356158Z 2023-07-07T19:59:25.1356327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1356599Z - self: 2023-07-07T19:59:25.1356797Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1356912Z - aten_name: 2023-07-07T19:59:25.1357044Z - function_overloads: 2023-07-07T19:59:25.1357160Z - onnx_args: 2023-07-07T19:59:25.1357277Z - onnx_kwargs: 2023-07-07T19:59:25.1357568Z - diagnostic_context: 2023-07-07T19:59:25.1357801Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1357883Z PASSED [0.3976s] [ 28%] 2023-07-07T19:59:25.1358379Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_2d_cpu_uint8 [2023-07-07 19:56:36,847] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1358522Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1358583Z 2023-07-07T19:59:25.1358783Z [2023-07-07 19:56:36,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1358986Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1358992Z 2023-07-07T19:59:25.1359178Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1359448Z - self: 2023-07-07T19:59:25.1359638Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1359754Z - aten_name: 2023-07-07T19:59:25.1359885Z - function_overloads: 2023-07-07T19:59:25.1360001Z - onnx_args: 2023-07-07T19:59:25.1360118Z - onnx_kwargs: 2023-07-07T19:59:25.1360421Z - diagnostic_context: 2023-07-07T19:59:25.1360583Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1360854Z [2023-07-07 19:56:37,036] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1360983Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1360989Z 2023-07-07T19:59:25.1361190Z [2023-07-07 19:56:37,036] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1361394Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1361404Z 2023-07-07T19:59:25.1361590Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1361857Z - self: 2023-07-07T19:59:25.1362054Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1362170Z - aten_name: 2023-07-07T19:59:25.1362308Z - function_overloads: 2023-07-07T19:59:25.1362412Z - onnx_args: 2023-07-07T19:59:25.1362529Z - onnx_kwargs: 2023-07-07T19:59:25.1362836Z - diagnostic_context: 2023-07-07T19:59:25.1362993Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1363071Z PASSED [0.7020s] [ 28%] 2023-07-07T19:59:25.1363570Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_bool [2023-07-07 19:56:37,235] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1363714Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1363720Z 2023-07-07T19:59:25.1363918Z [2023-07-07 19:56:37,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1364122Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1364133Z 2023-07-07T19:59:25.1364304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1364737Z - self: 2023-07-07T19:59:25.1364944Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1365058Z - aten_name: 2023-07-07T19:59:25.1365191Z - function_overloads: 2023-07-07T19:59:25.1365305Z - onnx_args: 2023-07-07T19:59:25.1365521Z - onnx_kwargs: 2023-07-07T19:59:25.1365818Z - diagnostic_context: 2023-07-07T19:59:25.1365976Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1366244Z [2023-07-07 19:56:37,291] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1366496Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1366503Z 2023-07-07T19:59:25.1366702Z [2023-07-07 19:56:37,291] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1366906Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1366912Z 2023-07-07T19:59:25.1367099Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1367388Z - self: 2023-07-07T19:59:25.1367590Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1367692Z - aten_name: 2023-07-07T19:59:25.1367824Z - function_overloads: 2023-07-07T19:59:25.1367940Z - onnx_args: 2023-07-07T19:59:25.1368056Z - onnx_kwargs: 2023-07-07T19:59:25.1368359Z - diagnostic_context: 2023-07-07T19:59:25.1368522Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1368798Z [2023-07-07 19:56:37,293] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1368942Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1368948Z 2023-07-07T19:59:25.1369133Z [2023-07-07 19:56:37,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1369341Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1369347Z 2023-07-07T19:59:25.1369530Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1369802Z - self: 2023-07-07T19:59:25.1370005Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1370124Z - aten_name: 2023-07-07T19:59:25.1370256Z - function_overloads: 2023-07-07T19:59:25.1370372Z - onnx_args: 2023-07-07T19:59:25.1370476Z - onnx_kwargs: 2023-07-07T19:59:25.1370781Z - diagnostic_context: 2023-07-07T19:59:25.1370938Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1371207Z [2023-07-07 19:56:37,456] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1371354Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1371360Z 2023-07-07T19:59:25.1371556Z [2023-07-07 19:56:37,456] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1371761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1371767Z 2023-07-07T19:59:25.1371950Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1372222Z - self: 2023-07-07T19:59:25.1372407Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1372521Z - aten_name: 2023-07-07T19:59:25.1372654Z - function_overloads: 2023-07-07T19:59:25.1372773Z - onnx_args: 2023-07-07T19:59:25.1372891Z - onnx_kwargs: 2023-07-07T19:59:25.1373253Z - diagnostic_context: 2023-07-07T19:59:25.1373412Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1373673Z [2023-07-07 19:56:37,458] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1373815Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1373821Z 2023-07-07T19:59:25.1374017Z [2023-07-07 19:56:37,458] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1374277Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1374283Z 2023-07-07T19:59:25.1374466Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1374733Z - self: 2023-07-07T19:59:25.1374937Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1375051Z - aten_name: 2023-07-07T19:59:25.1375189Z - function_overloads: 2023-07-07T19:59:25.1375292Z - onnx_args: 2023-07-07T19:59:25.1375410Z - onnx_kwargs: 2023-07-07T19:59:25.1375713Z - diagnostic_context: 2023-07-07T19:59:25.1375869Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1376148Z [2023-07-07 19:56:37,459] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1376290Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1376296Z 2023-07-07T19:59:25.1376493Z [2023-07-07 19:56:37,460] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1376695Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1376700Z 2023-07-07T19:59:25.1376874Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1377141Z - self: 2023-07-07T19:59:25.1377343Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1377457Z - aten_name: 2023-07-07T19:59:25.1377588Z - function_overloads: 2023-07-07T19:59:25.1377708Z - onnx_args: 2023-07-07T19:59:25.1377825Z - onnx_kwargs: 2023-07-07T19:59:25.1378129Z - diagnostic_context: 2023-07-07T19:59:25.1378274Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1378355Z PASSED [0.4124s] [ 28%] 2023-07-07T19:59:25.1378856Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_float16 [2023-07-07 19:56:37,587] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1379004Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1379011Z 2023-07-07T19:59:25.1379206Z [2023-07-07 19:56:37,587] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1379408Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1379414Z 2023-07-07T19:59:25.1379600Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1379867Z - self: 2023-07-07T19:59:25.1380065Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1380167Z - aten_name: 2023-07-07T19:59:25.1380299Z - function_overloads: 2023-07-07T19:59:25.1380416Z - onnx_args: 2023-07-07T19:59:25.1380532Z - onnx_kwargs: 2023-07-07T19:59:25.1380888Z - diagnostic_context: 2023-07-07T19:59:25.1381047Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1381318Z [2023-07-07 19:56:37,630] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1381447Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1381527Z 2023-07-07T19:59:25.1381713Z [2023-07-07 19:56:37,630] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1381917Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1381923Z 2023-07-07T19:59:25.1382106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1382373Z - self: 2023-07-07T19:59:25.1382569Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1382689Z - aten_name: 2023-07-07T19:59:25.1382822Z - function_overloads: 2023-07-07T19:59:25.1382937Z - onnx_args: 2023-07-07T19:59:25.1383041Z - onnx_kwargs: 2023-07-07T19:59:25.1383348Z - diagnostic_context: 2023-07-07T19:59:25.1383505Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1383784Z [2023-07-07 19:56:37,631] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1383927Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1383933Z 2023-07-07T19:59:25.1384130Z [2023-07-07 19:56:37,631] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1384330Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1384336Z 2023-07-07T19:59:25.1384523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1384779Z - self: 2023-07-07T19:59:25.1384985Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1385099Z - aten_name: 2023-07-07T19:59:25.1385232Z - function_overloads: 2023-07-07T19:59:25.1385352Z - onnx_args: 2023-07-07T19:59:25.1385469Z - onnx_kwargs: 2023-07-07T19:59:25.1385776Z - diagnostic_context: 2023-07-07T19:59:25.1385935Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1386193Z [2023-07-07 19:56:37,758] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1386334Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1386339Z 2023-07-07T19:59:25.1386539Z [2023-07-07 19:56:37,758] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1386742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1386747Z 2023-07-07T19:59:25.1386930Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1387206Z - self: 2023-07-07T19:59:25.1387406Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1387519Z - aten_name: 2023-07-07T19:59:25.1387638Z - function_overloads: 2023-07-07T19:59:25.1387754Z - onnx_args: 2023-07-07T19:59:25.1387870Z - onnx_kwargs: 2023-07-07T19:59:25.1388177Z - diagnostic_context: 2023-07-07T19:59:25.1388336Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1388669Z [2023-07-07 19:56:37,759] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1388815Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1388821Z 2023-07-07T19:59:25.1389016Z [2023-07-07 19:56:37,760] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1389263Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1389283Z 2023-07-07T19:59:25.1389452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1389720Z - self: 2023-07-07T19:59:25.1389921Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1390037Z - aten_name: 2023-07-07T19:59:25.1390171Z - function_overloads: 2023-07-07T19:59:25.1390291Z - onnx_args: 2023-07-07T19:59:25.1390408Z - onnx_kwargs: 2023-07-07T19:59:25.1390697Z - diagnostic_context: 2023-07-07T19:59:25.1390854Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1391127Z [2023-07-07 19:56:37,761] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1391274Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1391280Z 2023-07-07T19:59:25.1391479Z [2023-07-07 19:56:37,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1391684Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1391690Z 2023-07-07T19:59:25.1391873Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1392145Z - self: 2023-07-07T19:59:25.1392351Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1392452Z - aten_name: 2023-07-07T19:59:25.1392585Z - function_overloads: 2023-07-07T19:59:25.1392701Z - onnx_args: 2023-07-07T19:59:25.1392817Z - onnx_kwargs: 2023-07-07T19:59:25.1393123Z - diagnostic_context: 2023-07-07T19:59:25.1393280Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1393359Z PASSED [0.2948s] [ 29%] 2023-07-07T19:59:25.1393843Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_float32 [2023-07-07 19:56:37,882] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1393987Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1393993Z 2023-07-07T19:59:25.1394196Z [2023-07-07 19:56:37,882] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1394397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1394403Z 2023-07-07T19:59:25.1394670Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1394950Z - self: 2023-07-07T19:59:25.1395150Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1395264Z - aten_name: 2023-07-07T19:59:25.1395398Z - function_overloads: 2023-07-07T19:59:25.1395500Z - onnx_args: 2023-07-07T19:59:25.1395619Z - onnx_kwargs: 2023-07-07T19:59:25.1395924Z - diagnostic_context: 2023-07-07T19:59:25.1396158Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1396433Z [2023-07-07 19:56:37,925] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1396580Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1396585Z 2023-07-07T19:59:25.1396783Z [2023-07-07 19:56:37,925] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1397042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1397048Z 2023-07-07T19:59:25.1397230Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1397486Z - self: 2023-07-07T19:59:25.1397687Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1397803Z - aten_name: 2023-07-07T19:59:25.1397934Z - function_overloads: 2023-07-07T19:59:25.1398053Z - onnx_args: 2023-07-07T19:59:25.1398170Z - onnx_kwargs: 2023-07-07T19:59:25.1398472Z - diagnostic_context: 2023-07-07T19:59:25.1398615Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1398886Z [2023-07-07 19:56:37,926] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1399032Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1399037Z 2023-07-07T19:59:25.1399235Z [2023-07-07 19:56:37,926] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1399438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1399444Z 2023-07-07T19:59:25.1399628Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1399903Z - self: 2023-07-07T19:59:25.1400104Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1400263Z - aten_name: 2023-07-07T19:59:25.1400381Z - function_overloads: 2023-07-07T19:59:25.1400496Z - onnx_args: 2023-07-07T19:59:25.1400617Z - onnx_kwargs: 2023-07-07T19:59:25.1400918Z - diagnostic_context: 2023-07-07T19:59:25.1401075Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1401345Z [2023-07-07 19:56:38,044] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1401488Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1401494Z 2023-07-07T19:59:25.1401691Z [2023-07-07 19:56:38,044] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1401884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1401890Z 2023-07-07T19:59:25.1402074Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1402343Z - self: 2023-07-07T19:59:25.1402546Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1402660Z - aten_name: 2023-07-07T19:59:25.1402795Z - function_overloads: 2023-07-07T19:59:25.1402911Z - onnx_args: 2023-07-07T19:59:25.1403028Z - onnx_kwargs: 2023-07-07T19:59:25.1403321Z - diagnostic_context: 2023-07-07T19:59:25.1403478Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1403820Z [2023-07-07 19:56:38,046] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1403965Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1403970Z 2023-07-07T19:59:25.1404167Z [2023-07-07 19:56:38,046] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1404371Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1404618Z 2023-07-07T19:59:25.1404813Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1405088Z - self: 2023-07-07T19:59:25.1405291Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1405393Z - aten_name: 2023-07-07T19:59:25.1405525Z - function_overloads: 2023-07-07T19:59:25.1405640Z - onnx_args: 2023-07-07T19:59:25.1405756Z - onnx_kwargs: 2023-07-07T19:59:25.1406066Z - diagnostic_context: 2023-07-07T19:59:25.1406224Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1406499Z [2023-07-07 19:56:38,047] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1406628Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1406638Z 2023-07-07T19:59:25.1406835Z [2023-07-07 19:56:38,047] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1407038Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1407044Z 2023-07-07T19:59:25.1407231Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1407497Z - self: 2023-07-07T19:59:25.1407704Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1407818Z - aten_name: 2023-07-07T19:59:25.1407949Z - function_overloads: 2023-07-07T19:59:25.1408051Z - onnx_args: 2023-07-07T19:59:25.1408167Z - onnx_kwargs: 2023-07-07T19:59:25.1408470Z - diagnostic_context: 2023-07-07T19:59:25.1408633Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1408712Z PASSED [0.2848s] [ 29%] 2023-07-07T19:59:25.1409212Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_int16 [2023-07-07 19:56:38,164] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1409354Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1409360Z 2023-07-07T19:59:25.1409555Z [2023-07-07 19:56:38,164] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1409760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1409767Z 2023-07-07T19:59:25.1409938Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1410205Z - self: 2023-07-07T19:59:25.1410409Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1410524Z - aten_name: 2023-07-07T19:59:25.1410656Z - function_overloads: 2023-07-07T19:59:25.1410771Z - onnx_args: 2023-07-07T19:59:25.1410890Z - onnx_kwargs: 2023-07-07T19:59:25.1411196Z - diagnostic_context: 2023-07-07T19:59:25.1411340Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1411704Z [2023-07-07 19:56:38,205] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1411849Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1411855Z 2023-07-07T19:59:25.1412053Z [2023-07-07 19:56:38,205] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1412258Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1412322Z 2023-07-07T19:59:25.1412507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1412777Z - self: 2023-07-07T19:59:25.1412976Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1413093Z - aten_name: 2023-07-07T19:59:25.1413213Z - function_overloads: 2023-07-07T19:59:25.1413327Z - onnx_args: 2023-07-07T19:59:25.1413448Z - onnx_kwargs: 2023-07-07T19:59:25.1413754Z - diagnostic_context: 2023-07-07T19:59:25.1413911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1414184Z [2023-07-07 19:56:38,206] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1414385Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1414391Z 2023-07-07T19:59:25.1414576Z [2023-07-07 19:56:38,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1414783Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1414788Z 2023-07-07T19:59:25.1414973Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1415241Z - self: 2023-07-07T19:59:25.1415448Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1415564Z - aten_name: 2023-07-07T19:59:25.1415696Z - function_overloads: 2023-07-07T19:59:25.1415815Z - onnx_args: 2023-07-07T19:59:25.1415920Z - onnx_kwargs: 2023-07-07T19:59:25.1416220Z - diagnostic_context: 2023-07-07T19:59:25.1416381Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1416655Z [2023-07-07 19:56:38,327] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1416796Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1416802Z 2023-07-07T19:59:25.1416999Z [2023-07-07 19:56:38,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1417205Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1417211Z 2023-07-07T19:59:25.1417397Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1417663Z - self: 2023-07-07T19:59:25.1417848Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1417967Z - aten_name: 2023-07-07T19:59:25.1418099Z - function_overloads: 2023-07-07T19:59:25.1418216Z - onnx_args: 2023-07-07T19:59:25.1418333Z - onnx_kwargs: 2023-07-07T19:59:25.1418635Z - diagnostic_context: 2023-07-07T19:59:25.1418792Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1419050Z [2023-07-07 19:56:38,328] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1419254Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1419260Z 2023-07-07T19:59:25.1419458Z [2023-07-07 19:56:38,328] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1419658Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1419663Z 2023-07-07T19:59:25.1419847Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1420227Z - self: 2023-07-07T19:59:25.1420433Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1420547Z - aten_name: 2023-07-07T19:59:25.1420679Z - function_overloads: 2023-07-07T19:59:25.1420781Z - onnx_args: 2023-07-07T19:59:25.1420897Z - onnx_kwargs: 2023-07-07T19:59:25.1421204Z - diagnostic_context: 2023-07-07T19:59:25.1421361Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1421635Z [2023-07-07 19:56:38,329] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1421777Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1421782Z 2023-07-07T19:59:25.1421983Z [2023-07-07 19:56:38,329] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1422187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1422192Z 2023-07-07T19:59:25.1422378Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1422633Z - self: 2023-07-07T19:59:25.1422836Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1422954Z - aten_name: 2023-07-07T19:59:25.1423088Z - function_overloads: 2023-07-07T19:59:25.1423203Z - onnx_args: 2023-07-07T19:59:25.1423319Z - onnx_kwargs: 2023-07-07T19:59:25.1423627Z - diagnostic_context: 2023-07-07T19:59:25.1423772Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1423857Z PASSED [0.2825s] [ 29%] 2023-07-07T19:59:25.1424353Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_int32 [2023-07-07 19:56:38,450] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1424495Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1424501Z 2023-07-07T19:59:25.1424699Z [2023-07-07 19:56:38,450] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1424906Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1424912Z 2023-07-07T19:59:25.1425094Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1425362Z - self: 2023-07-07T19:59:25.1425562Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1425668Z - aten_name: 2023-07-07T19:59:25.1425800Z - function_overloads: 2023-07-07T19:59:25.1425917Z - onnx_args: 2023-07-07T19:59:25.1426034Z - onnx_kwargs: 2023-07-07T19:59:25.1426338Z - diagnostic_context: 2023-07-07T19:59:25.1426495Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1426765Z [2023-07-07 19:56:38,520] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1426960Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1426981Z 2023-07-07T19:59:25.1427168Z [2023-07-07 19:56:38,520] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1427369Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1427375Z 2023-07-07T19:59:25.1427648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1427919Z - self: 2023-07-07T19:59:25.1428120Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1428235Z - aten_name: 2023-07-07T19:59:25.1428367Z - function_overloads: 2023-07-07T19:59:25.1428486Z - onnx_args: 2023-07-07T19:59:25.1428590Z - onnx_kwargs: 2023-07-07T19:59:25.1428896Z - diagnostic_context: 2023-07-07T19:59:25.1429096Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1429369Z [2023-07-07 19:56:38,522] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1429511Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1429521Z 2023-07-07T19:59:25.1429721Z [2023-07-07 19:56:38,522] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1429924Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1429930Z 2023-07-07T19:59:25.1430114Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1430383Z - self: 2023-07-07T19:59:25.1430572Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1430691Z - aten_name: 2023-07-07T19:59:25.1430826Z - function_overloads: 2023-07-07T19:59:25.1430943Z - onnx_args: 2023-07-07T19:59:25.1431060Z - onnx_kwargs: 2023-07-07T19:59:25.1431366Z - diagnostic_context: 2023-07-07T19:59:25.1431521Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1431781Z [2023-07-07 19:56:38,649] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1431925Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1431931Z 2023-07-07T19:59:25.1432129Z [2023-07-07 19:56:38,649] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1432330Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1432336Z 2023-07-07T19:59:25.1432523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1432794Z - self: 2023-07-07T19:59:25.1432989Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1433104Z - aten_name: 2023-07-07T19:59:25.1433237Z - function_overloads: 2023-07-07T19:59:25.1433344Z - onnx_args: 2023-07-07T19:59:25.1433459Z - onnx_kwargs: 2023-07-07T19:59:25.1433760Z - diagnostic_context: 2023-07-07T19:59:25.1433917Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1434190Z [2023-07-07 19:56:38,650] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1434336Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1434342Z 2023-07-07T19:59:25.1434693Z [2023-07-07 19:56:38,650] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1434899Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1434905Z 2023-07-07T19:59:25.1435074Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1435413Z - self: 2023-07-07T19:59:25.1435616Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1435731Z - aten_name: 2023-07-07T19:59:25.1435863Z - function_overloads: 2023-07-07T19:59:25.1435978Z - onnx_args: 2023-07-07T19:59:25.1436096Z - onnx_kwargs: 2023-07-07T19:59:25.1436387Z - diagnostic_context: 2023-07-07T19:59:25.1436542Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1436820Z [2023-07-07 19:56:38,651] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1436963Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1436969Z 2023-07-07T19:59:25.1437165Z [2023-07-07 19:56:38,651] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1437371Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1437377Z 2023-07-07T19:59:25.1437560Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1437829Z - self: 2023-07-07T19:59:25.1438032Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1438132Z - aten_name: 2023-07-07T19:59:25.1438264Z - function_overloads: 2023-07-07T19:59:25.1438383Z - onnx_args: 2023-07-07T19:59:25.1438501Z - onnx_kwargs: 2023-07-07T19:59:25.1438803Z - diagnostic_context: 2023-07-07T19:59:25.1438960Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1439040Z PASSED [0.3190s] [ 29%] 2023-07-07T19:59:25.1439759Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_int64 [2023-07-07 19:56:38,774] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1439965Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1439973Z 2023-07-07T19:59:25.1440276Z [2023-07-07 19:56:38,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1440583Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1440591Z 2023-07-07T19:59:25.1440870Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1441280Z - self: 2023-07-07T19:59:25.1441582Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1441755Z - aten_name: 2023-07-07T19:59:25.1441964Z - function_overloads: 2023-07-07T19:59:25.1442125Z - onnx_args: 2023-07-07T19:59:25.1442305Z - onnx_kwargs: 2023-07-07T19:59:25.1442769Z - diagnostic_context: 2023-07-07T19:59:25.1443006Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1443414Z [2023-07-07 19:56:38,832] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1443627Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1443635Z 2023-07-07T19:59:25.1444020Z [2023-07-07 19:56:38,832] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1444332Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1444340Z 2023-07-07T19:59:25.1444731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1445230Z - self: 2023-07-07T19:59:25.1445534Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1445707Z - aten_name: 2023-07-07T19:59:25.1445908Z - function_overloads: 2023-07-07T19:59:25.1446083Z - onnx_args: 2023-07-07T19:59:25.1446264Z - onnx_kwargs: 2023-07-07T19:59:25.1446728Z - diagnostic_context: 2023-07-07T19:59:25.1446956Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1447378Z [2023-07-07 19:56:38,833] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1447589Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1447597Z 2023-07-07T19:59:25.1447900Z [2023-07-07 19:56:38,833] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1448209Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1448217Z 2023-07-07T19:59:25.1448491Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1448892Z - self: 2023-07-07T19:59:25.1449196Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1449368Z - aten_name: 2023-07-07T19:59:25.1449556Z - function_overloads: 2023-07-07T19:59:25.1449740Z - onnx_args: 2023-07-07T19:59:25.1449918Z - onnx_kwargs: 2023-07-07T19:59:25.1450380Z - diagnostic_context: 2023-07-07T19:59:25.1450619Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1451030Z [2023-07-07 19:56:38,960] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1451248Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1451256Z 2023-07-07T19:59:25.1451556Z [2023-07-07 19:56:38,960] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1451844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1451866Z 2023-07-07T19:59:25.1452127Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1452536Z - self: 2023-07-07T19:59:25.1452837Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1453009Z - aten_name: 2023-07-07T19:59:25.1453207Z - function_overloads: 2023-07-07T19:59:25.1453383Z - onnx_args: 2023-07-07T19:59:25.1453565Z - onnx_kwargs: 2023-07-07T19:59:25.1454009Z - diagnostic_context: 2023-07-07T19:59:25.1454258Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1454675Z [2023-07-07 19:56:38,961] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1454886Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1454895Z 2023-07-07T19:59:25.1455181Z [2023-07-07 19:56:38,961] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1455575Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1455584Z 2023-07-07T19:59:25.1455860Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1456266Z - self: 2023-07-07T19:59:25.1456638Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1456809Z - aten_name: 2023-07-07T19:59:25.1457008Z - function_overloads: 2023-07-07T19:59:25.1457179Z - onnx_args: 2023-07-07T19:59:25.1457341Z - onnx_kwargs: 2023-07-07T19:59:25.1457800Z - diagnostic_context: 2023-07-07T19:59:25.1458034Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1458455Z [2023-07-07 19:56:38,962] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1458665Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1458673Z 2023-07-07T19:59:25.1458976Z [2023-07-07 19:56:38,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1459279Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1459292Z 2023-07-07T19:59:25.1459568Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1459973Z - self: 2023-07-07T19:59:25.1460266Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1460435Z - aten_name: 2023-07-07T19:59:25.1460632Z - function_overloads: 2023-07-07T19:59:25.1460805Z - onnx_args: 2023-07-07T19:59:25.1460980Z - onnx_kwargs: 2023-07-07T19:59:25.1461449Z - diagnostic_context: 2023-07-07T19:59:25.1461687Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1461788Z PASSED [0.3090s] [ 29%] 2023-07-07T19:59:25.1462536Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_int8 [2023-07-07 19:56:39,086] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1462755Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1462763Z 2023-07-07T19:59:25.1463058Z [2023-07-07 19:56:39,086] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1463363Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1463372Z 2023-07-07T19:59:25.1463648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1464055Z - self: 2023-07-07T19:59:25.1464356Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1464531Z - aten_name: 2023-07-07T19:59:25.1464720Z - function_overloads: 2023-07-07T19:59:25.1464897Z - onnx_args: 2023-07-07T19:59:25.1465080Z - onnx_kwargs: 2023-07-07T19:59:25.1465544Z - diagnostic_context: 2023-07-07T19:59:25.1465784Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1466198Z [2023-07-07 19:56:39,154] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1466409Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1466417Z 2023-07-07T19:59:25.1466712Z [2023-07-07 19:56:39,154] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1467083Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1467106Z 2023-07-07T19:59:25.1467367Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1467771Z - self: 2023-07-07T19:59:25.1468134Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1468303Z - aten_name: 2023-07-07T19:59:25.1468505Z - function_overloads: 2023-07-07T19:59:25.1468680Z - onnx_args: 2023-07-07T19:59:25.1468857Z - onnx_kwargs: 2023-07-07T19:59:25.1469303Z - diagnostic_context: 2023-07-07T19:59:25.1469541Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1469963Z [2023-07-07 19:56:39,155] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1470177Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1470185Z 2023-07-07T19:59:25.1470479Z [2023-07-07 19:56:39,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1470785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1470799Z 2023-07-07T19:59:25.1471073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1471479Z - self: 2023-07-07T19:59:25.1471783Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1471940Z - aten_name: 2023-07-07T19:59:25.1472142Z - function_overloads: 2023-07-07T19:59:25.1472316Z - onnx_args: 2023-07-07T19:59:25.1472494Z - onnx_kwargs: 2023-07-07T19:59:25.1472959Z - diagnostic_context: 2023-07-07T19:59:25.1473195Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1473607Z [2023-07-07 19:56:39,302] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1473809Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1473831Z 2023-07-07T19:59:25.1474113Z [2023-07-07 19:56:39,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1474417Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1474425Z 2023-07-07T19:59:25.1474777Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1475184Z - self: 2023-07-07T19:59:25.1475492Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1475664Z - aten_name: 2023-07-07T19:59:25.1475870Z - function_overloads: 2023-07-07T19:59:25.1476046Z - onnx_args: 2023-07-07T19:59:25.1476207Z - onnx_kwargs: 2023-07-07T19:59:25.1476668Z - diagnostic_context: 2023-07-07T19:59:25.1476911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1477327Z [2023-07-07 19:56:39,304] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1477539Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1477547Z 2023-07-07T19:59:25.1477845Z [2023-07-07 19:56:39,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1478246Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1478255Z 2023-07-07T19:59:25.1478529Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1478924Z - self: 2023-07-07T19:59:25.1479228Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1479454Z - aten_name: 2023-07-07T19:59:25.1479654Z - function_overloads: 2023-07-07T19:59:25.1479826Z - onnx_args: 2023-07-07T19:59:25.1480003Z - onnx_kwargs: 2023-07-07T19:59:25.1480464Z - diagnostic_context: 2023-07-07T19:59:25.1480701Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1481102Z [2023-07-07 19:56:39,307] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1481318Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1481326Z 2023-07-07T19:59:25.1481627Z [2023-07-07 19:56:39,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1481927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1481935Z 2023-07-07T19:59:25.1482208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1482604Z - self: 2023-07-07T19:59:25.1482914Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1483082Z - aten_name: 2023-07-07T19:59:25.1483268Z - function_overloads: 2023-07-07T19:59:25.1483387Z - onnx_args: 2023-07-07T19:59:25.1483502Z - onnx_kwargs: 2023-07-07T19:59:25.1483809Z - diagnostic_context: 2023-07-07T19:59:25.1483965Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1484043Z PASSED [0.3500s] [ 29%] 2023-07-07T19:59:25.1484728Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atleast_3d_cpu_uint8 [2023-07-07 19:56:39,459] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1484915Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1484922Z 2023-07-07T19:59:25.1485133Z [2023-07-07 19:56:39,459] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1485323Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1485329Z 2023-07-07T19:59:25.1485513Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1485786Z - self: 2023-07-07T19:59:25.1485985Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1486099Z - aten_name: 2023-07-07T19:59:25.1486232Z - function_overloads: 2023-07-07T19:59:25.1486346Z - onnx_args: 2023-07-07T19:59:25.1486462Z - onnx_kwargs: 2023-07-07T19:59:25.1486758Z - diagnostic_context: 2023-07-07T19:59:25.1486914Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1487187Z [2023-07-07 19:56:39,515] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1487328Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1487334Z 2023-07-07T19:59:25.1487529Z [2023-07-07 19:56:39,515] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1487857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1487864Z 2023-07-07T19:59:25.1488051Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1488321Z - self: 2023-07-07T19:59:25.1488509Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1488704Z - aten_name: 2023-07-07T19:59:25.1488837Z - function_overloads: 2023-07-07T19:59:25.1488951Z - onnx_args: 2023-07-07T19:59:25.1489066Z - onnx_kwargs: 2023-07-07T19:59:25.1489369Z - diagnostic_context: 2023-07-07T19:59:25.1489527Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1489800Z [2023-07-07 19:56:39,516] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1489934Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1489940Z 2023-07-07T19:59:25.1490138Z [2023-07-07 19:56:39,516] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1490340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1490346Z 2023-07-07T19:59:25.1490535Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1490803Z - self: 2023-07-07T19:59:25.1491005Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1491120Z - aten_name: 2023-07-07T19:59:25.1491252Z - function_overloads: 2023-07-07T19:59:25.1491368Z - onnx_args: 2023-07-07T19:59:25.1491535Z - onnx_kwargs: 2023-07-07T19:59:25.1491844Z - diagnostic_context: 2023-07-07T19:59:25.1492001Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1492270Z [2023-07-07 19:56:39,655] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.1492412Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1492423Z 2023-07-07T19:59:25.1492619Z [2023-07-07 19:56:39,656] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1492820Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1492827Z 2023-07-07T19:59:25.1493008Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1493263Z - self: 2023-07-07T19:59:25.1493460Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1493577Z - aten_name: 2023-07-07T19:59:25.1493709Z - function_overloads: 2023-07-07T19:59:25.1493824Z - onnx_args: 2023-07-07T19:59:25.1493940Z - onnx_kwargs: 2023-07-07T19:59:25.1494244Z - diagnostic_context: 2023-07-07T19:59:25.1494389Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1494665Z [2023-07-07 19:56:39,657] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.1494807Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1494812Z 2023-07-07T19:59:25.1495008Z [2023-07-07 19:56:39,657] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1495210Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1495217Z 2023-07-07T19:59:25.1495550Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1495910Z - self: 2023-07-07T19:59:25.1496116Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1496231Z - aten_name: 2023-07-07T19:59:25.1496350Z - function_overloads: 2023-07-07T19:59:25.1496534Z - onnx_args: 2023-07-07T19:59:25.1496651Z - onnx_kwargs: 2023-07-07T19:59:25.1496956Z - diagnostic_context: 2023-07-07T19:59:25.1497113Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1497388Z [2023-07-07 19:56:39,658] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.1497530Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1497536Z 2023-07-07T19:59:25.1497736Z [2023-07-07 19:56:39,658] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1497925Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1497931Z 2023-07-07T19:59:25.1498113Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1498381Z - self: 2023-07-07T19:59:25.1498583Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.1498698Z - aten_name: 2023-07-07T19:59:25.1498829Z - function_overloads: 2023-07-07T19:59:25.1498944Z - onnx_args: 2023-07-07T19:59:25.1499061Z - onnx_kwargs: 2023-07-07T19:59:25.1499351Z - diagnostic_context: 2023-07-07T19:59:25.1499505Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.1499591Z PASSED [0.3412s] [ 30%] 2023-07-07T19:59:25.1499840Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_baddbmm_cpu_float32 PASSED [0.4382s] [ 30%] 2023-07-07T19:59:25.1500322Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_baddbmm_cpu_int16 [2023-07-07 19:56:40,192] torch.onnx: [WARNING] FX Node: call_function:aten.baddbmm.default[name=baddbmm]. 2023-07-07T19:59:25.1500465Z ONNX Node: aten_baddbmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1500471Z 2023-07-07T19:59:25.1500668Z [2023-07-07 19:56:40,192] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1500867Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1500874Z 2023-07-07T19:59:25.1501056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1501315Z - self: 2023-07-07T19:59:25.1501506Z - node: fx.Node(baddbmm[call_function]'aten.baddbmm.default') 2023-07-07T19:59:25.1501618Z - aten_name: 2023-07-07T19:59:25.1501750Z - function_overloads: 2023-07-07T19:59:25.1501865Z - onnx_args: 2023-07-07T19:59:25.1501981Z - onnx_kwargs: 2023-07-07T19:59:25.1502289Z - diagnostic_context: 2023-07-07T19:59:25.1502430Z - Return value: `OnnxFunction(aten_baddbmm)` 2023-07-07T19:59:25.1502505Z XFAIL [0.0897s] [ 30%] 2023-07-07T19:59:25.1502804Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_baddbmm_cpu_int32 PASSED [0.4848s] [ 30%] 2023-07-07T19:59:25.1503053Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_baddbmm_cpu_int64 PASSED [0.3415s] [ 30%] 2023-07-07T19:59:25.1503630Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_baddbmm_cpu_int8 [2023-07-07 19:56:41,080] torch.onnx: [WARNING] FX Node: call_function:aten.baddbmm.default[name=baddbmm]. 2023-07-07T19:59:25.1503772Z ONNX Node: aten_baddbmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1503779Z 2023-07-07T19:59:25.1503979Z [2023-07-07 19:56:41,080] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1504247Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1504253Z 2023-07-07T19:59:25.1504437Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1504702Z - self: 2023-07-07T19:59:25.1504880Z - node: fx.Node(baddbmm[call_function]'aten.baddbmm.default') 2023-07-07T19:59:25.1504993Z - aten_name: 2023-07-07T19:59:25.1505128Z - function_overloads: 2023-07-07T19:59:25.1505245Z - onnx_args: 2023-07-07T19:59:25.1505364Z - onnx_kwargs: 2023-07-07T19:59:25.1505668Z - diagnostic_context: 2023-07-07T19:59:25.1505821Z - Return value: `OnnxFunction(aten_baddbmm)` 2023-07-07T19:59:25.1505888Z XFAIL [0.0547s] [ 31%] 2023-07-07T19:59:25.1506365Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_baddbmm_cpu_uint8 [2023-07-07 19:56:41,136] torch.onnx: [WARNING] FX Node: call_function:aten.baddbmm.default[name=baddbmm]. 2023-07-07T19:59:25.1506504Z ONNX Node: aten_baddbmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1506510Z 2023-07-07T19:59:25.1506708Z [2023-07-07 19:56:41,137] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1506913Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1506923Z 2023-07-07T19:59:25.1507109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1507377Z - self: 2023-07-07T19:59:25.1507565Z - node: fx.Node(baddbmm[call_function]'aten.baddbmm.default') 2023-07-07T19:59:25.1507682Z - aten_name: 2023-07-07T19:59:25.1507802Z - function_overloads: 2023-07-07T19:59:25.1507918Z - onnx_args: 2023-07-07T19:59:25.1508035Z - onnx_kwargs: 2023-07-07T19:59:25.1508340Z - diagnostic_context: 2023-07-07T19:59:25.1508495Z - Return value: `OnnxFunction(aten_baddbmm)` 2023-07-07T19:59:25.1508568Z XFAIL [0.0543s] [ 31%] 2023-07-07T19:59:25.1508805Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_bmm_cpu_float32 PASSED [0.0547s] [ 31%] 2023-07-07T19:59:25.1509259Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_bmm_cpu_int16 [2023-07-07 19:56:41,244] torch.onnx: [WARNING] FX Node: call_function:aten.bmm.default[name=bmm]. 2023-07-07T19:59:25.1509381Z ONNX Node: aten_bmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1509400Z 2023-07-07T19:59:25.1509587Z [2023-07-07 19:56:41,244] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1509792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1509798Z 2023-07-07T19:59:25.1509981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1510247Z - self: 2023-07-07T19:59:25.1510418Z - node: fx.Node(bmm[call_function]'aten.bmm.default') 2023-07-07T19:59:25.1510532Z - aten_name: 2023-07-07T19:59:25.1510736Z - function_overloads: 2023-07-07T19:59:25.1510854Z - onnx_args: 2023-07-07T19:59:25.1510958Z - onnx_kwargs: 2023-07-07T19:59:25.1511261Z - diagnostic_context: 2023-07-07T19:59:25.1511404Z - Return value: `OnnxFunction(aten_bmm)` 2023-07-07T19:59:25.1511536Z XFAIL [0.0491s] [ 31%] 2023-07-07T19:59:25.1511983Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_bmm_cpu_int32 [2023-07-07 19:56:41,296] torch.onnx: [WARNING] FX Node: call_function:aten.bmm.default[name=bmm]. 2023-07-07T19:59:25.1512114Z ONNX Node: aten_bmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1512120Z 2023-07-07T19:59:25.1512317Z [2023-07-07 19:56:41,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1512519Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1512530Z 2023-07-07T19:59:25.1512699Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1512968Z - self: 2023-07-07T19:59:25.1513137Z - node: fx.Node(bmm[call_function]'aten.bmm.default') 2023-07-07T19:59:25.1513249Z - aten_name: 2023-07-07T19:59:25.1513385Z - function_overloads: 2023-07-07T19:59:25.1513502Z - onnx_args: 2023-07-07T19:59:25.1513619Z - onnx_kwargs: 2023-07-07T19:59:25.1513922Z - diagnostic_context: 2023-07-07T19:59:25.1514053Z - Return value: `OnnxFunction(aten_bmm)` 2023-07-07T19:59:25.1514130Z PASSED [0.0519s] [ 31%] 2023-07-07T19:59:25.1514662Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_bmm_cpu_int64 [2023-07-07 19:56:41,350] torch.onnx: [WARNING] FX Node: call_function:aten.bmm.default[name=bmm]. 2023-07-07T19:59:25.1514796Z ONNX Node: aten_bmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1514801Z 2023-07-07T19:59:25.1515001Z [2023-07-07 19:56:41,350] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1515205Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1515215Z 2023-07-07T19:59:25.1515398Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1515666Z - self: 2023-07-07T19:59:25.1515836Z - node: fx.Node(bmm[call_function]'aten.bmm.default') 2023-07-07T19:59:25.1515936Z - aten_name: 2023-07-07T19:59:25.1516068Z - function_overloads: 2023-07-07T19:59:25.1516185Z - onnx_args: 2023-07-07T19:59:25.1516303Z - onnx_kwargs: 2023-07-07T19:59:25.1516611Z - diagnostic_context: 2023-07-07T19:59:25.1516755Z - Return value: `OnnxFunction(aten_bmm)` 2023-07-07T19:59:25.1516832Z PASSED [0.0506s] [ 31%] 2023-07-07T19:59:25.1517271Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_bmm_cpu_int8 [2023-07-07 19:56:41,403] torch.onnx: [WARNING] FX Node: call_function:aten.bmm.default[name=bmm]. 2023-07-07T19:59:25.1517408Z ONNX Node: aten_bmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1517415Z 2023-07-07T19:59:25.1517612Z [2023-07-07 19:56:41,403] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1517815Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1517821Z 2023-07-07T19:59:25.1518003Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1518339Z - self: 2023-07-07T19:59:25.1518513Z - node: fx.Node(bmm[call_function]'aten.bmm.default') 2023-07-07T19:59:25.1518626Z - aten_name: 2023-07-07T19:59:25.1518757Z - function_overloads: 2023-07-07T19:59:25.1518860Z - onnx_args: 2023-07-07T19:59:25.1518976Z - onnx_kwargs: 2023-07-07T19:59:25.1519335Z - diagnostic_context: 2023-07-07T19:59:25.1519479Z - Return value: `OnnxFunction(aten_bmm)` 2023-07-07T19:59:25.1519554Z XFAIL [0.0515s] [ 32%] 2023-07-07T19:59:25.1520008Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_bmm_cpu_uint8 [2023-07-07 19:56:41,456] torch.onnx: [WARNING] FX Node: call_function:aten.bmm.default[name=bmm]. 2023-07-07T19:59:25.1520140Z ONNX Node: aten_bmm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1520146Z 2023-07-07T19:59:25.1520346Z [2023-07-07 19:56:41,456] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1520536Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1520542Z 2023-07-07T19:59:25.1520725Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1520996Z - self: 2023-07-07T19:59:25.1521167Z - node: fx.Node(bmm[call_function]'aten.bmm.default') 2023-07-07T19:59:25.1521282Z - aten_name: 2023-07-07T19:59:25.1521414Z - function_overloads: 2023-07-07T19:59:25.1521530Z - onnx_args: 2023-07-07T19:59:25.1521646Z - onnx_kwargs: 2023-07-07T19:59:25.1521936Z - diagnostic_context: 2023-07-07T19:59:25.1522078Z - Return value: `OnnxFunction(aten_bmm)` 2023-07-07T19:59:25.1522157Z XFAIL [0.0504s] [ 32%] 2023-07-07T19:59:25.1522640Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_bool [2023-07-07 19:56:41,781] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1522784Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1522793Z 2023-07-07T19:59:25.1522990Z [2023-07-07 19:56:41,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1523193Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1523199Z 2023-07-07T19:59:25.1523382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1523648Z - self: 2023-07-07T19:59:25.1523825Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1523942Z - aten_name: 2023-07-07T19:59:25.1524073Z - function_overloads: 2023-07-07T19:59:25.1524193Z - onnx_args: 2023-07-07T19:59:25.1524312Z - onnx_kwargs: 2023-07-07T19:59:25.1524781Z - diagnostic_context: 2023-07-07T19:59:25.1524943Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1525010Z PASSED [0.3663s] [ 32%] 2023-07-07T19:59:25.1525497Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_float16 [2023-07-07 19:56:42,094] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1525636Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1525642Z 2023-07-07T19:59:25.1525842Z [2023-07-07 19:56:42,094] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1526144Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1526152Z 2023-07-07T19:59:25.1526337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1526608Z - self: 2023-07-07T19:59:25.1526796Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1526983Z - aten_name: 2023-07-07T19:59:25.1527104Z - function_overloads: 2023-07-07T19:59:25.1527219Z - onnx_args: 2023-07-07T19:59:25.1527337Z - onnx_kwargs: 2023-07-07T19:59:25.1527642Z - diagnostic_context: 2023-07-07T19:59:25.1527793Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1527870Z PASSED [0.3125s] [ 32%] 2023-07-07T19:59:25.1528361Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_float32 [2023-07-07 19:56:42,404] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1528499Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1528505Z 2023-07-07T19:59:25.1528690Z [2023-07-07 19:56:42,404] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1528897Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1528902Z 2023-07-07T19:59:25.1529084Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1529350Z - self: 2023-07-07T19:59:25.1529537Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1529651Z - aten_name: 2023-07-07T19:59:25.1529782Z - function_overloads: 2023-07-07T19:59:25.1529903Z - onnx_args: 2023-07-07T19:59:25.1530007Z - onnx_kwargs: 2023-07-07T19:59:25.1530310Z - diagnostic_context: 2023-07-07T19:59:25.1530463Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1530542Z PASSED [0.3172s] [ 32%] 2023-07-07T19:59:25.1531028Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int16 [2023-07-07 19:56:42,721] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1531166Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1531172Z 2023-07-07T19:59:25.1531371Z [2023-07-07 19:56:42,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1531578Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1531584Z 2023-07-07T19:59:25.1531770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1532025Z - self: 2023-07-07T19:59:25.1532213Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1532326Z - aten_name: 2023-07-07T19:59:25.1532462Z - function_overloads: 2023-07-07T19:59:25.1532576Z - onnx_args: 2023-07-07T19:59:25.1532691Z - onnx_kwargs: 2023-07-07T19:59:25.1532994Z - diagnostic_context: 2023-07-07T19:59:25.1533133Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1533212Z PASSED [0.3060s] [ 32%] 2023-07-07T19:59:25.1533766Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int32 [2023-07-07 19:56:43,204] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1533906Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1533912Z 2023-07-07T19:59:25.1534109Z [2023-07-07 19:56:43,204] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1534311Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1534372Z 2023-07-07T19:59:25.1534556Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1534824Z - self: 2023-07-07T19:59:25.1535009Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1535110Z - aten_name: 2023-07-07T19:59:25.1535242Z - function_overloads: 2023-07-07T19:59:25.1535358Z - onnx_args: 2023-07-07T19:59:25.1535474Z - onnx_kwargs: 2023-07-07T19:59:25.1535779Z - diagnostic_context: 2023-07-07T19:59:25.1535929Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1536008Z PASSED [0.4827s] [ 33%] 2023-07-07T19:59:25.1536486Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int64 [2023-07-07 19:56:43,518] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1536616Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1536621Z 2023-07-07T19:59:25.1536818Z [2023-07-07 19:56:43,518] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1537021Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1537027Z 2023-07-07T19:59:25.1537210Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1537481Z - self: 2023-07-07T19:59:25.1537667Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1537782Z - aten_name: 2023-07-07T19:59:25.1537913Z - function_overloads: 2023-07-07T19:59:25.1538015Z - onnx_args: 2023-07-07T19:59:25.1538136Z - onnx_kwargs: 2023-07-07T19:59:25.1538436Z - diagnostic_context: 2023-07-07T19:59:25.1538586Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1538664Z PASSED [0.3109s] [ 33%] 2023-07-07T19:59:25.1539145Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int8 [2023-07-07 19:56:43,826] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1539282Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1539292Z 2023-07-07T19:59:25.1539488Z [2023-07-07 19:56:43,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1539690Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1539696Z 2023-07-07T19:59:25.1539866Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1540137Z - self: 2023-07-07T19:59:25.1540322Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1540435Z - aten_name: 2023-07-07T19:59:25.1540566Z - function_overloads: 2023-07-07T19:59:25.1540680Z - onnx_args: 2023-07-07T19:59:25.1540795Z - onnx_kwargs: 2023-07-07T19:59:25.1541087Z - diagnostic_context: 2023-07-07T19:59:25.1541324Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1541404Z PASSED [0.3059s] [ 33%] 2023-07-07T19:59:25.1541882Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_uint8 [2023-07-07 19:56:44,134] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.1542017Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1542078Z 2023-07-07T19:59:25.1542277Z [2023-07-07 19:56:44,134] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1542478Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1542485Z 2023-07-07T19:59:25.1542667Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1542932Z - self: 2023-07-07T19:59:25.1543123Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.1543225Z - aten_name: 2023-07-07T19:59:25.1543357Z - function_overloads: 2023-07-07T19:59:25.1543473Z - onnx_args: 2023-07-07T19:59:25.1543591Z - onnx_kwargs: 2023-07-07T19:59:25.1543894Z - diagnostic_context: 2023-07-07T19:59:25.1544051Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.1544126Z PASSED [0.3072s] [ 33%] 2023-07-07T19:59:25.1544569Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_bool [2023-07-07 19:56:44,227] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1544701Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1544706Z 2023-07-07T19:59:25.1544901Z [2023-07-07 19:56:44,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1545106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1545112Z 2023-07-07T19:59:25.1545293Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1545559Z - self: 2023-07-07T19:59:25.1545734Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1545848Z - aten_name: 2023-07-07T19:59:25.1545979Z - function_overloads: 2023-07-07T19:59:25.1546081Z - onnx_args: 2023-07-07T19:59:25.1546197Z - onnx_kwargs: 2023-07-07T19:59:25.1546500Z - diagnostic_context: 2023-07-07T19:59:25.1546642Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1546885Z [2023-07-07 19:56:44,292] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1547020Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1547026Z 2023-07-07T19:59:25.1547221Z [2023-07-07 19:56:44,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1547409Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1547431Z 2023-07-07T19:59:25.1547599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1547868Z - self: 2023-07-07T19:59:25.1548038Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1548151Z - aten_name: 2023-07-07T19:59:25.1548283Z - function_overloads: 2023-07-07T19:59:25.1548398Z - onnx_args: 2023-07-07T19:59:25.1548516Z - onnx_kwargs: 2023-07-07T19:59:25.1548877Z - diagnostic_context: 2023-07-07T19:59:25.1549023Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1549267Z [2023-07-07 19:56:44,409] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1549398Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1549403Z 2023-07-07T19:59:25.1549665Z [2023-07-07 19:56:44,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1549869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1549875Z 2023-07-07T19:59:25.1550057Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1550321Z - self: 2023-07-07T19:59:25.1550491Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1550595Z - aten_name: 2023-07-07T19:59:25.1550725Z - function_overloads: 2023-07-07T19:59:25.1550841Z - onnx_args: 2023-07-07T19:59:25.1550957Z - onnx_kwargs: 2023-07-07T19:59:25.1551261Z - diagnostic_context: 2023-07-07T19:59:25.1551403Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1551650Z [2023-07-07 19:56:44,604] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1551769Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1551789Z 2023-07-07T19:59:25.1551972Z [2023-07-07 19:56:44,604] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1552176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1552182Z 2023-07-07T19:59:25.1552367Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1552633Z - self: 2023-07-07T19:59:25.1552801Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1552914Z - aten_name: 2023-07-07T19:59:25.1553047Z - function_overloads: 2023-07-07T19:59:25.1553163Z - onnx_args: 2023-07-07T19:59:25.1553271Z - onnx_kwargs: 2023-07-07T19:59:25.1553573Z - diagnostic_context: 2023-07-07T19:59:25.1553715Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1553936Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 33%] 2023-07-07T19:59:25.1554371Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_bool SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 33%] 2023-07-07T19:59:25.1554701Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_bool PASSED [0.4280s] [ 33%] 2023-07-07T19:59:25.1555161Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_float16 [2023-07-07 19:56:44,674] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1555294Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1555305Z 2023-07-07T19:59:25.1555503Z [2023-07-07 19:56:44,674] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1555692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1555698Z 2023-07-07T19:59:25.1555882Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1556149Z - self: 2023-07-07T19:59:25.1556394Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1556510Z - aten_name: 2023-07-07T19:59:25.1556641Z - function_overloads: 2023-07-07T19:59:25.1556757Z - onnx_args: 2023-07-07T19:59:25.1556872Z - onnx_kwargs: 2023-07-07T19:59:25.1557162Z - diagnostic_context: 2023-07-07T19:59:25.1557380Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1557623Z [2023-07-07 19:56:44,741] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1557753Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1557759Z 2023-07-07T19:59:25.1557954Z [2023-07-07 19:56:44,741] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1558156Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1558162Z 2023-07-07T19:59:25.1558347Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1558612Z - self: 2023-07-07T19:59:25.1558769Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1558882Z - aten_name: 2023-07-07T19:59:25.1559017Z - function_overloads: 2023-07-07T19:59:25.1559132Z - onnx_args: 2023-07-07T19:59:25.1559249Z - onnx_kwargs: 2023-07-07T19:59:25.1559552Z - diagnostic_context: 2023-07-07T19:59:25.1559696Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1559939Z [2023-07-07 19:56:44,881] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1560059Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1560064Z 2023-07-07T19:59:25.1560263Z [2023-07-07 19:56:44,882] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1560465Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1560471Z 2023-07-07T19:59:25.1560652Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1560925Z - self: 2023-07-07T19:59:25.1561095Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1561210Z - aten_name: 2023-07-07T19:59:25.1561341Z - function_overloads: 2023-07-07T19:59:25.1561445Z - onnx_args: 2023-07-07T19:59:25.1561561Z - onnx_kwargs: 2023-07-07T19:59:25.1561865Z - diagnostic_context: 2023-07-07T19:59:25.1562008Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1562255Z [2023-07-07 19:56:45,083] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1562386Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1562392Z 2023-07-07T19:59:25.1562586Z [2023-07-07 19:56:45,083] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1562786Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1562796Z 2023-07-07T19:59:25.1562977Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1563232Z - self: 2023-07-07T19:59:25.1563400Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1563513Z - aten_name: 2023-07-07T19:59:25.1563644Z - function_overloads: 2023-07-07T19:59:25.1563758Z - onnx_args: 2023-07-07T19:59:25.1563979Z - onnx_kwargs: 2023-07-07T19:59:25.1564286Z - diagnostic_context: 2023-07-07T19:59:25.1564564Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1564797Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1565234Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_float16 SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1565572Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_float16 PASSED [0.4777s] [ 34%] 2023-07-07T19:59:25.1566024Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_float32 [2023-07-07 19:56:45,155] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1566161Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1566168Z 2023-07-07T19:59:25.1566367Z [2023-07-07 19:56:45,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1566569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1566576Z 2023-07-07T19:59:25.1566759Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1567033Z - self: 2023-07-07T19:59:25.1567190Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1567303Z - aten_name: 2023-07-07T19:59:25.1567437Z - function_overloads: 2023-07-07T19:59:25.1567551Z - onnx_args: 2023-07-07T19:59:25.1567668Z - onnx_kwargs: 2023-07-07T19:59:25.1567974Z - diagnostic_context: 2023-07-07T19:59:25.1568123Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1568354Z [2023-07-07 19:56:45,221] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1568486Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1568492Z 2023-07-07T19:59:25.1568685Z [2023-07-07 19:56:45,221] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1568889Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1568895Z 2023-07-07T19:59:25.1569077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1569343Z - self: 2023-07-07T19:59:25.1569514Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1569628Z - aten_name: 2023-07-07T19:59:25.1569765Z - function_overloads: 2023-07-07T19:59:25.1569868Z - onnx_args: 2023-07-07T19:59:25.1569984Z - onnx_kwargs: 2023-07-07T19:59:25.1570285Z - diagnostic_context: 2023-07-07T19:59:25.1570428Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1570670Z [2023-07-07 19:56:45,355] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1570806Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1570812Z 2023-07-07T19:59:25.1571008Z [2023-07-07 19:56:45,355] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1571214Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1571220Z 2023-07-07T19:59:25.1571390Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1571735Z - self: 2023-07-07T19:59:25.1571910Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1572024Z - aten_name: 2023-07-07T19:59:25.1572156Z - function_overloads: 2023-07-07T19:59:25.1572271Z - onnx_args: 2023-07-07T19:59:25.1572387Z - onnx_kwargs: 2023-07-07T19:59:25.1572737Z - diagnostic_context: 2023-07-07T19:59:25.1572881Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1573123Z [2023-07-07 19:56:45,512] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1573253Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1573259Z 2023-07-07T19:59:25.1573453Z [2023-07-07 19:56:45,512] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1573659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1573665Z 2023-07-07T19:59:25.1573850Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1574118Z - self: 2023-07-07T19:59:25.1574287Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1574392Z - aten_name: 2023-07-07T19:59:25.1574525Z - function_overloads: 2023-07-07T19:59:25.1574641Z - onnx_args: 2023-07-07T19:59:25.1574761Z - onnx_kwargs: 2023-07-07T19:59:25.1575064Z - diagnostic_context: 2023-07-07T19:59:25.1575207Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1575427Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1575864Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_float32 SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1576090Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_float32 PASSED [0.4259s] [ 34%] 2023-07-07T19:59:25.1576537Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int16 [2023-07-07 19:56:45,562] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1576675Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1576681Z 2023-07-07T19:59:25.1576880Z [2023-07-07 19:56:45,562] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1577083Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1577090Z 2023-07-07T19:59:25.1577276Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1577542Z - self: 2023-07-07T19:59:25.1577714Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1577827Z - aten_name: 2023-07-07T19:59:25.1577945Z - function_overloads: 2023-07-07T19:59:25.1578066Z - onnx_args: 2023-07-07T19:59:25.1578184Z - onnx_kwargs: 2023-07-07T19:59:25.1578487Z - diagnostic_context: 2023-07-07T19:59:25.1578630Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1578874Z [2023-07-07 19:56:45,611] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1579004Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1579010Z 2023-07-07T19:59:25.1579206Z [2023-07-07 19:56:45,611] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1579457Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1579477Z 2023-07-07T19:59:25.1579649Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1579915Z - self: 2023-07-07T19:59:25.1580140Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1580253Z - aten_name: 2023-07-07T19:59:25.1580384Z - function_overloads: 2023-07-07T19:59:25.1580500Z - onnx_args: 2023-07-07T19:59:25.1580618Z - onnx_kwargs: 2023-07-07T19:59:25.1580910Z - diagnostic_context: 2023-07-07T19:59:25.1581053Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1581301Z [2023-07-07 19:56:45,707] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1581433Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1581438Z 2023-07-07T19:59:25.1581635Z [2023-07-07 19:56:45,708] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1581838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1581847Z 2023-07-07T19:59:25.1582031Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1582298Z - self: 2023-07-07T19:59:25.1582467Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1582568Z - aten_name: 2023-07-07T19:59:25.1582700Z - function_overloads: 2023-07-07T19:59:25.1582815Z - onnx_args: 2023-07-07T19:59:25.1582932Z - onnx_kwargs: 2023-07-07T19:59:25.1583241Z - diagnostic_context: 2023-07-07T19:59:25.1583385Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1583627Z [2023-07-07 19:56:45,846] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1583746Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1583756Z 2023-07-07T19:59:25.1583952Z [2023-07-07 19:56:45,846] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1584151Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1584157Z 2023-07-07T19:59:25.1584339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1584606Z - self: 2023-07-07T19:59:25.1584777Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1584895Z - aten_name: 2023-07-07T19:59:25.1585027Z - function_overloads: 2023-07-07T19:59:25.1585129Z - onnx_args: 2023-07-07T19:59:25.1585247Z - onnx_kwargs: 2023-07-07T19:59:25.1585551Z - diagnostic_context: 2023-07-07T19:59:25.1585699Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1585918Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1586354Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int16 SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1586590Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int16 PASSED [0.3325s] [ 34%] 2023-07-07T19:59:25.1587122Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int32 [2023-07-07 19:56:45,897] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1587256Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1587262Z 2023-07-07T19:59:25.1587448Z [2023-07-07 19:56:45,898] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1587649Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1587708Z 2023-07-07T19:59:25.1587892Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1588161Z - self: 2023-07-07T19:59:25.1588331Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1588445Z - aten_name: 2023-07-07T19:59:25.1588577Z - function_overloads: 2023-07-07T19:59:25.1588694Z - onnx_args: 2023-07-07T19:59:25.1588801Z - onnx_kwargs: 2023-07-07T19:59:25.1589105Z - diagnostic_context: 2023-07-07T19:59:25.1589248Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1589493Z [2023-07-07 19:56:45,944] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1589628Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1589634Z 2023-07-07T19:59:25.1589831Z [2023-07-07 19:56:45,944] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1590034Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1590039Z 2023-07-07T19:59:25.1590220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1590491Z - self: 2023-07-07T19:59:25.1590654Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1590767Z - aten_name: 2023-07-07T19:59:25.1590898Z - function_overloads: 2023-07-07T19:59:25.1591012Z - onnx_args: 2023-07-07T19:59:25.1591128Z - onnx_kwargs: 2023-07-07T19:59:25.1591431Z - diagnostic_context: 2023-07-07T19:59:25.1591576Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1591808Z [2023-07-07 19:56:46,039] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1591940Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1591945Z 2023-07-07T19:59:25.1592226Z [2023-07-07 19:56:46,040] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1592436Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1592447Z 2023-07-07T19:59:25.1592629Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1592898Z - self: 2023-07-07T19:59:25.1593067Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1593180Z - aten_name: 2023-07-07T19:59:25.1593315Z - function_overloads: 2023-07-07T19:59:25.1593419Z - onnx_args: 2023-07-07T19:59:25.1593535Z - onnx_kwargs: 2023-07-07T19:59:25.1593841Z - diagnostic_context: 2023-07-07T19:59:25.1593983Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1594222Z [2023-07-07 19:56:46,180] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1594352Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1594360Z 2023-07-07T19:59:25.1594699Z [2023-07-07 19:56:46,180] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1594907Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1594913Z 2023-07-07T19:59:25.1595081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1595411Z - self: 2023-07-07T19:59:25.1595582Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1595695Z - aten_name: 2023-07-07T19:59:25.1595827Z - function_overloads: 2023-07-07T19:59:25.1595942Z - onnx_args: 2023-07-07T19:59:25.1596059Z - onnx_kwargs: 2023-07-07T19:59:25.1596349Z - diagnostic_context: 2023-07-07T19:59:25.1596496Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1596715Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1597148Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int32 SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1597385Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int32 PASSED [0.3336s] [ 34%] 2023-07-07T19:59:25.1597842Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int64 [2023-07-07 19:56:46,247] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1597973Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1597979Z 2023-07-07T19:59:25.1598176Z [2023-07-07 19:56:46,247] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1598384Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1598390Z 2023-07-07T19:59:25.1598573Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1598829Z - self: 2023-07-07T19:59:25.1599000Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1599116Z - aten_name: 2023-07-07T19:59:25.1599248Z - function_overloads: 2023-07-07T19:59:25.1599364Z - onnx_args: 2023-07-07T19:59:25.1599480Z - onnx_kwargs: 2023-07-07T19:59:25.1599785Z - diagnostic_context: 2023-07-07T19:59:25.1599926Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1600156Z [2023-07-07 19:56:46,299] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1600290Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1600296Z 2023-07-07T19:59:25.1600492Z [2023-07-07 19:56:46,299] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1600692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1600698Z 2023-07-07T19:59:25.1600884Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1601151Z - self: 2023-07-07T19:59:25.1601320Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1601433Z - aten_name: 2023-07-07T19:59:25.1601553Z - function_overloads: 2023-07-07T19:59:25.1601669Z - onnx_args: 2023-07-07T19:59:25.1601784Z - onnx_kwargs: 2023-07-07T19:59:25.1602156Z - diagnostic_context: 2023-07-07T19:59:25.1602302Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1602543Z [2023-07-07 19:56:46,397] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1602673Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1602679Z 2023-07-07T19:59:25.1602875Z [2023-07-07 19:56:46,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1603121Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1603140Z 2023-07-07T19:59:25.1603310Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1603577Z - self: 2023-07-07T19:59:25.1603745Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1603857Z - aten_name: 2023-07-07T19:59:25.1603994Z - function_overloads: 2023-07-07T19:59:25.1604110Z - onnx_args: 2023-07-07T19:59:25.1604227Z - onnx_kwargs: 2023-07-07T19:59:25.1604684Z - diagnostic_context: 2023-07-07T19:59:25.1604838Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1605085Z [2023-07-07 19:56:46,536] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1605217Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1605224Z 2023-07-07T19:59:25.1605419Z [2023-07-07 19:56:46,536] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1605620Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1605626Z 2023-07-07T19:59:25.1605807Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1606077Z - self: 2023-07-07T19:59:25.1606246Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1606345Z - aten_name: 2023-07-07T19:59:25.1606478Z - function_overloads: 2023-07-07T19:59:25.1606594Z - onnx_args: 2023-07-07T19:59:25.1606714Z - onnx_kwargs: 2023-07-07T19:59:25.1607019Z - diagnostic_context: 2023-07-07T19:59:25.1607161Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1607381Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1607799Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int64 SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1608040Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int64 PASSED [0.3535s] [ 34%] 2023-07-07T19:59:25.1608488Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int8 [2023-07-07 19:56:46,590] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1608620Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1608630Z 2023-07-07T19:59:25.1608827Z [2023-07-07 19:56:46,590] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1609029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1609034Z 2023-07-07T19:59:25.1609214Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1609479Z - self: 2023-07-07T19:59:25.1609754Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1609870Z - aten_name: 2023-07-07T19:59:25.1609990Z - function_overloads: 2023-07-07T19:59:25.1610105Z - onnx_args: 2023-07-07T19:59:25.1610221Z - onnx_kwargs: 2023-07-07T19:59:25.1610524Z - diagnostic_context: 2023-07-07T19:59:25.1610751Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1610996Z [2023-07-07 19:56:46,639] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1611126Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1611132Z 2023-07-07T19:59:25.1611318Z [2023-07-07 19:56:46,639] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1611519Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1611525Z 2023-07-07T19:59:25.1611710Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1611977Z - self: 2023-07-07T19:59:25.1612146Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1612261Z - aten_name: 2023-07-07T19:59:25.1612391Z - function_overloads: 2023-07-07T19:59:25.1612510Z - onnx_args: 2023-07-07T19:59:25.1612612Z - onnx_kwargs: 2023-07-07T19:59:25.1612916Z - diagnostic_context: 2023-07-07T19:59:25.1613059Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1613301Z [2023-07-07 19:56:46,738] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1613433Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1613439Z 2023-07-07T19:59:25.1613639Z [2023-07-07 19:56:46,738] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1613841Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1613847Z 2023-07-07T19:59:25.1614032Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1614301Z - self: 2023-07-07T19:59:25.1614460Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1614575Z - aten_name: 2023-07-07T19:59:25.1614708Z - function_overloads: 2023-07-07T19:59:25.1614823Z - onnx_args: 2023-07-07T19:59:25.1614939Z - onnx_kwargs: 2023-07-07T19:59:25.1615243Z - diagnostic_context: 2023-07-07T19:59:25.1615386Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1615622Z [2023-07-07 19:56:46,916] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1615754Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1615759Z 2023-07-07T19:59:25.1615954Z [2023-07-07 19:56:46,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1616158Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1616168Z 2023-07-07T19:59:25.1616350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1616618Z - self: 2023-07-07T19:59:25.1616788Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1616901Z - aten_name: 2023-07-07T19:59:25.1617032Z - function_overloads: 2023-07-07T19:59:25.1617134Z - onnx_args: 2023-07-07T19:59:25.1617248Z - onnx_kwargs: 2023-07-07T19:59:25.1617612Z - diagnostic_context: 2023-07-07T19:59:25.1617754Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1617973Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1618405Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int8 SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 34%] 2023-07-07T19:59:25.1618740Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_int8 PASSED [0.3790s] [ 34%] 2023-07-07T19:59:25.1619187Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_uint8 [2023-07-07 19:56:46,981] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1619318Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1619328Z 2023-07-07T19:59:25.1619514Z [2023-07-07 19:56:46,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1619716Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1619722Z 2023-07-07T19:59:25.1619906Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1620178Z - self: 2023-07-07T19:59:25.1620348Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1620463Z - aten_name: 2023-07-07T19:59:25.1620595Z - function_overloads: 2023-07-07T19:59:25.1620711Z - onnx_args: 2023-07-07T19:59:25.1620815Z - onnx_kwargs: 2023-07-07T19:59:25.1621119Z - diagnostic_context: 2023-07-07T19:59:25.1621265Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1621508Z [2023-07-07 19:56:47,043] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1621640Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1621646Z 2023-07-07T19:59:25.1621843Z [2023-07-07 19:56:47,043] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1622048Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1622054Z 2023-07-07T19:59:25.1622234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1622500Z - self: 2023-07-07T19:59:25.1622657Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1622769Z - aten_name: 2023-07-07T19:59:25.1622900Z - function_overloads: 2023-07-07T19:59:25.1623019Z - onnx_args: 2023-07-07T19:59:25.1623136Z - onnx_kwargs: 2023-07-07T19:59:25.1623439Z - diagnostic_context: 2023-07-07T19:59:25.1623582Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1623866Z [2023-07-07 19:56:47,178] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1624037Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1624043Z 2023-07-07T19:59:25.1624239Z [2023-07-07 19:56:47,178] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1624440Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1624445Z 2023-07-07T19:59:25.1624627Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1624956Z - self: 2023-07-07T19:59:25.1625127Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1625241Z - aten_name: 2023-07-07T19:59:25.1625360Z - function_overloads: 2023-07-07T19:59:25.1625477Z - onnx_args: 2023-07-07T19:59:25.1625593Z - onnx_kwargs: 2023-07-07T19:59:25.1625897Z - diagnostic_context: 2023-07-07T19:59:25.1626101Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1626343Z [2023-07-07 19:56:47,364] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.1626474Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1626480Z 2023-07-07T19:59:25.1626675Z [2023-07-07 19:56:47,364] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1626868Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1626889Z 2023-07-07T19:59:25.1627058Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1627325Z - self: 2023-07-07T19:59:25.1627495Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.1627612Z - aten_name: 2023-07-07T19:59:25.1627744Z - function_overloads: 2023-07-07T19:59:25.1627861Z - onnx_args: 2023-07-07T19:59:25.1627978Z - onnx_kwargs: 2023-07-07T19:59:25.1628268Z - diagnostic_context: 2023-07-07T19:59:25.1628412Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.1628633Z SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 35%] 2023-07-07T19:59:25.1629071Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_uint8 SUBSKIP [0.0000s] (core dump - cat does not support zero-dim tensors yet) [ 35%] 2023-07-07T19:59:25.1629308Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cat_cpu_uint8 PASSED [0.4595s] [ 35%] 2023-07-07T19:59:25.1629543Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_float16 PASSED [0.0730s] [ 35%] 2023-07-07T19:59:25.1629774Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_float32 PASSED [0.0669s] [ 35%] 2023-07-07T19:59:25.1630069Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int16 SKIPPED [0.0003s] (Skip: Ceil on bool and int not supported by the ONNX Spec) [ 35%] 2023-07-07T19:59:25.1630368Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int32 SKIPPED [0.0002s] (Skip: Ceil on bool and int not supported by the ONNX Spec) [ 35%] 2023-07-07T19:59:25.1630662Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int64 SKIPPED [0.0002s] (Skip: Ceil on bool and int not supported by the ONNX Spec) [ 35%] 2023-07-07T19:59:25.1631011Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int8 SKIPPED [0.0002s] (Skip: Ceil on bool and int not supported by the ONNX Spec) [ 36%] 2023-07-07T19:59:25.1631444Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_uint8 SKIPPED [0.0002s] (Skip: Ceil on bool and int not supported by the ONNX Spec) [ 36%] 2023-07-07T19:59:25.1632169Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_bool [2023-07-07 19:56:47,612] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1632375Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1632450Z 2023-07-07T19:59:25.1632752Z [2023-07-07 19:56:47,612] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1633056Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1633065Z 2023-07-07T19:59:25.1633338Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1633849Z - self: 2023-07-07T19:59:25.1634153Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1634323Z - aten_name: 2023-07-07T19:59:25.1634576Z - function_overloads: 2023-07-07T19:59:25.1634754Z - onnx_args: 2023-07-07T19:59:25.1634928Z - onnx_kwargs: 2023-07-07T19:59:25.1635392Z - diagnostic_context: 2023-07-07T19:59:25.1635627Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1636047Z [2023-07-07 19:56:47,614] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1636252Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1636261Z 2023-07-07T19:59:25.1636558Z [2023-07-07 19:56:47,614] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1636851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1636873Z 2023-07-07T19:59:25.1637135Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1637540Z - self: 2023-07-07T19:59:25.1637846Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1638020Z - aten_name: 2023-07-07T19:59:25.1638227Z - function_overloads: 2023-07-07T19:59:25.1638402Z - onnx_args: 2023-07-07T19:59:25.1638582Z - onnx_kwargs: 2023-07-07T19:59:25.1639034Z - diagnostic_context: 2023-07-07T19:59:25.1639264Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1639379Z XFAIL [0.0814s] [ 36%] 2023-07-07T19:59:25.1640116Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_float16 [2023-07-07 19:56:47,697] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1640322Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1640331Z 2023-07-07T19:59:25.1640627Z [2023-07-07 19:56:47,697] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1640936Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1640945Z 2023-07-07T19:59:25.1641215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1641621Z - self: 2023-07-07T19:59:25.1641907Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1642084Z - aten_name: 2023-07-07T19:59:25.1642306Z - function_overloads: 2023-07-07T19:59:25.1642477Z - onnx_args: 2023-07-07T19:59:25.1642651Z - onnx_kwargs: 2023-07-07T19:59:25.1643115Z - diagnostic_context: 2023-07-07T19:59:25.1643346Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1643761Z [2023-07-07 19:56:47,698] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1644039Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1644048Z 2023-07-07T19:59:25.1644350Z [2023-07-07 19:56:47,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1644804Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1644813Z 2023-07-07T19:59:25.1645088Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1645600Z - self: 2023-07-07T19:59:25.1645905Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1646074Z - aten_name: 2023-07-07T19:59:25.1646276Z - function_overloads: 2023-07-07T19:59:25.1646436Z - onnx_args: 2023-07-07T19:59:25.1646613Z - onnx_kwargs: 2023-07-07T19:59:25.1647079Z - diagnostic_context: 2023-07-07T19:59:25.1647306Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1647415Z XFAIL [0.0821s] [ 36%] 2023-07-07T19:59:25.1648160Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_float32 [2023-07-07 19:56:47,792] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1648373Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1648382Z 2023-07-07T19:59:25.1648683Z [2023-07-07 19:56:47,792] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1648986Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1648995Z 2023-07-07T19:59:25.1649255Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1649668Z - self: 2023-07-07T19:59:25.1649971Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1650142Z - aten_name: 2023-07-07T19:59:25.1650343Z - function_overloads: 2023-07-07T19:59:25.1650515Z - onnx_args: 2023-07-07T19:59:25.1650694Z - onnx_kwargs: 2023-07-07T19:59:25.1651141Z - diagnostic_context: 2023-07-07T19:59:25.1651372Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1651788Z [2023-07-07 19:56:47,793] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1651991Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1651999Z 2023-07-07T19:59:25.1652297Z [2023-07-07 19:56:47,793] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1652605Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1652614Z 2023-07-07T19:59:25.1652886Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1653291Z - self: 2023-07-07T19:59:25.1653598Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1653760Z - aten_name: 2023-07-07T19:59:25.1653957Z - function_overloads: 2023-07-07T19:59:25.1654135Z - onnx_args: 2023-07-07T19:59:25.1654315Z - onnx_kwargs: 2023-07-07T19:59:25.1654773Z - diagnostic_context: 2023-07-07T19:59:25.1655003Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1655378Z [2023-07-07 19:56:47,908] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T19:59:25.1655667Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1655677Z 2023-07-07T19:59:25.1655963Z [2023-07-07 19:56:47,908] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1656266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1656274Z 2023-07-07T19:59:25.1656608Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1657014Z - self: 2023-07-07T19:59:25.1657286Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T19:59:25.1657457Z - aten_name: 2023-07-07T19:59:25.1657659Z - function_overloads: 2023-07-07T19:59:25.1657830Z - onnx_args: 2023-07-07T19:59:25.1657992Z - onnx_kwargs: 2023-07-07T19:59:25.1658455Z - diagnostic_context: 2023-07-07T19:59:25.1658675Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T19:59:25.1659076Z [2023-07-07 19:56:47,910] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1659280Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1659288Z 2023-07-07T19:59:25.1659592Z [2023-07-07 19:56:47,910] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1659893Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1659902Z 2023-07-07T19:59:25.1660176Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1660583Z - self: 2023-07-07T19:59:25.1660874Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1661051Z - aten_name: 2023-07-07T19:59:25.1661252Z - function_overloads: 2023-07-07T19:59:25.1661427Z - onnx_args: 2023-07-07T19:59:25.1661607Z - onnx_kwargs: 2023-07-07T19:59:25.1662067Z - diagnostic_context: 2023-07-07T19:59:25.1662294Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1662693Z [2023-07-07 19:56:47,912] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1662896Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1662904Z 2023-07-07T19:59:25.1663202Z [2023-07-07 19:56:47,912] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1663505Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1663513Z 2023-07-07T19:59:25.1663789Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1664190Z - self: 2023-07-07T19:59:25.1664493Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1664665Z - aten_name: 2023-07-07T19:59:25.1664866Z - function_overloads: 2023-07-07T19:59:25.1665033Z - onnx_args: 2023-07-07T19:59:25.1665213Z - onnx_kwargs: 2023-07-07T19:59:25.1665666Z - diagnostic_context: 2023-07-07T19:59:25.1665895Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1666307Z [2023-07-07 19:56:47,914] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T19:59:25.1666512Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1666520Z 2023-07-07T19:59:25.1666890Z [2023-07-07 19:56:47,914] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1667190Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1667199Z 2023-07-07T19:59:25.1667454Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1667858Z - self: 2023-07-07T19:59:25.1668227Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T19:59:25.1668399Z - aten_name: 2023-07-07T19:59:25.1668596Z - function_overloads: 2023-07-07T19:59:25.1668771Z - onnx_args: 2023-07-07T19:59:25.1668947Z - onnx_kwargs: 2023-07-07T19:59:25.1669406Z - diagnostic_context: 2023-07-07T19:59:25.1669623Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1670034Z [2023-07-07 19:56:47,916] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T19:59:25.1670243Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1670251Z 2023-07-07T19:59:25.1670547Z [2023-07-07 19:56:47,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1670851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1670864Z 2023-07-07T19:59:25.1671142Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1671548Z - self: 2023-07-07T19:59:25.1671853Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T19:59:25.1672011Z - aten_name: 2023-07-07T19:59:25.1672210Z - function_overloads: 2023-07-07T19:59:25.1672387Z - onnx_args: 2023-07-07T19:59:25.1672565Z - onnx_kwargs: 2023-07-07T19:59:25.1673023Z - diagnostic_context: 2023-07-07T19:59:25.1673251Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1673662Z [2023-07-07 19:56:47,919] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T19:59:25.1673871Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1673879Z 2023-07-07T19:59:25.1674161Z [2023-07-07 19:56:47,919] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1674530Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1674537Z 2023-07-07T19:59:25.1674808Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1675151Z - self: 2023-07-07T19:59:25.1675354Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T19:59:25.1675468Z - aten_name: 2023-07-07T19:59:25.1675600Z - function_overloads: 2023-07-07T19:59:25.1675718Z - onnx_args: 2023-07-07T19:59:25.1675822Z - onnx_kwargs: 2023-07-07T19:59:25.1676131Z - diagnostic_context: 2023-07-07T19:59:25.1676282Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1676533Z [2023-07-07 19:56:48,025] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T19:59:25.1676671Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1676677Z 2023-07-07T19:59:25.1676873Z [2023-07-07 19:56:48,025] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1677160Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1677167Z 2023-07-07T19:59:25.1677351Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1677620Z - self: 2023-07-07T19:59:25.1677788Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T19:59:25.1677978Z - aten_name: 2023-07-07T19:59:25.1678109Z - function_overloads: 2023-07-07T19:59:25.1678223Z - onnx_args: 2023-07-07T19:59:25.1678338Z - onnx_kwargs: 2023-07-07T19:59:25.1678640Z - diagnostic_context: 2023-07-07T19:59:25.1678787Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T19:59:25.1679039Z [2023-07-07 19:56:48,027] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1679180Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1679186Z 2023-07-07T19:59:25.1679381Z [2023-07-07 19:56:48,027] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1679582Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1679587Z 2023-07-07T19:59:25.1679773Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1680039Z - self: 2023-07-07T19:59:25.1680236Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1680350Z - aten_name: 2023-07-07T19:59:25.1680486Z - function_overloads: 2023-07-07T19:59:25.1680588Z - onnx_args: 2023-07-07T19:59:25.1680703Z - onnx_kwargs: 2023-07-07T19:59:25.1681009Z - diagnostic_context: 2023-07-07T19:59:25.1681160Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1681427Z [2023-07-07 19:56:48,029] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1681561Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1681571Z 2023-07-07T19:59:25.1681767Z [2023-07-07 19:56:48,029] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1681967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1681973Z 2023-07-07T19:59:25.1682141Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1682407Z - self: 2023-07-07T19:59:25.1682605Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1682723Z - aten_name: 2023-07-07T19:59:25.1682855Z - function_overloads: 2023-07-07T19:59:25.1682969Z - onnx_args: 2023-07-07T19:59:25.1683086Z - onnx_kwargs: 2023-07-07T19:59:25.1683386Z - diagnostic_context: 2023-07-07T19:59:25.1683525Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1683802Z [2023-07-07 19:56:48,030] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T19:59:25.1683939Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1683945Z 2023-07-07T19:59:25.1684140Z [2023-07-07 19:56:48,031] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1684339Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1684345Z 2023-07-07T19:59:25.1684758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1685036Z - self: 2023-07-07T19:59:25.1685235Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T19:59:25.1685348Z - aten_name: 2023-07-07T19:59:25.1685468Z - function_overloads: 2023-07-07T19:59:25.1685655Z - onnx_args: 2023-07-07T19:59:25.1685770Z - onnx_kwargs: 2023-07-07T19:59:25.1686071Z - diagnostic_context: 2023-07-07T19:59:25.1686222Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1686489Z [2023-07-07 19:56:48,032] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T19:59:25.1686624Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1686630Z 2023-07-07T19:59:25.1686818Z [2023-07-07 19:56:48,032] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1687020Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1687026Z 2023-07-07T19:59:25.1687209Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1687478Z - self: 2023-07-07T19:59:25.1687680Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T19:59:25.1687792Z - aten_name: 2023-07-07T19:59:25.1687924Z - function_overloads: 2023-07-07T19:59:25.1688039Z - onnx_args: 2023-07-07T19:59:25.1688144Z - onnx_kwargs: 2023-07-07T19:59:25.1688447Z - diagnostic_context: 2023-07-07T19:59:25.1688599Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1688873Z [2023-07-07 19:56:48,034] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T19:59:25.1689010Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1689015Z 2023-07-07T19:59:25.1689213Z [2023-07-07 19:56:48,034] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1689417Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1689422Z 2023-07-07T19:59:25.1689603Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1689869Z - self: 2023-07-07T19:59:25.1690057Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T19:59:25.1690170Z - aten_name: 2023-07-07T19:59:25.1690303Z - function_overloads: 2023-07-07T19:59:25.1690423Z - onnx_args: 2023-07-07T19:59:25.1690537Z - onnx_kwargs: 2023-07-07T19:59:25.1690839Z - diagnostic_context: 2023-07-07T19:59:25.1690990Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1691057Z PASSED [0.3362s] [ 36%] 2023-07-07T19:59:25.1691547Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_int16 [2023-07-07 19:56:48,113] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1691683Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1691689Z 2023-07-07T19:59:25.1691884Z [2023-07-07 19:56:48,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1692083Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1692089Z 2023-07-07T19:59:25.1692331Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1692601Z - self: 2023-07-07T19:59:25.1692799Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1692910Z - aten_name: 2023-07-07T19:59:25.1693126Z - function_overloads: 2023-07-07T19:59:25.1693244Z - onnx_args: 2023-07-07T19:59:25.1693359Z - onnx_kwargs: 2023-07-07T19:59:25.1693665Z - diagnostic_context: 2023-07-07T19:59:25.1693817Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1694086Z [2023-07-07 19:56:48,114] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1694223Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1694229Z 2023-07-07T19:59:25.1694431Z [2023-07-07 19:56:48,114] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1694623Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1694642Z 2023-07-07T19:59:25.1694814Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1695087Z - self: 2023-07-07T19:59:25.1695286Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1695400Z - aten_name: 2023-07-07T19:59:25.1695534Z - function_overloads: 2023-07-07T19:59:25.1695648Z - onnx_args: 2023-07-07T19:59:25.1695766Z - onnx_kwargs: 2023-07-07T19:59:25.1696058Z - diagnostic_context: 2023-07-07T19:59:25.1696215Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1696290Z XFAIL [0.0751s] [ 37%] 2023-07-07T19:59:25.1696769Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_int32 [2023-07-07 19:56:48,203] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1696905Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1696915Z 2023-07-07T19:59:25.1697113Z [2023-07-07 19:56:48,203] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1697315Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1697321Z 2023-07-07T19:59:25.1697503Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1697769Z - self: 2023-07-07T19:59:25.1697957Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1698069Z - aten_name: 2023-07-07T19:59:25.1698201Z - function_overloads: 2023-07-07T19:59:25.1698316Z - onnx_args: 2023-07-07T19:59:25.1698432Z - onnx_kwargs: 2023-07-07T19:59:25.1698733Z - diagnostic_context: 2023-07-07T19:59:25.1698889Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1699158Z [2023-07-07 19:56:48,205] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1699282Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1699288Z 2023-07-07T19:59:25.1699484Z [2023-07-07 19:56:48,205] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1699686Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1699754Z 2023-07-07T19:59:25.1699945Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1700211Z - self: 2023-07-07T19:59:25.1700413Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1700581Z - aten_name: 2023-07-07T19:59:25.1700713Z - function_overloads: 2023-07-07T19:59:25.1700814Z - onnx_args: 2023-07-07T19:59:25.1700931Z - onnx_kwargs: 2023-07-07T19:59:25.1701235Z - diagnostic_context: 2023-07-07T19:59:25.1701385Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1701636Z [2023-07-07 19:56:48,341] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T19:59:25.1701774Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1701784Z 2023-07-07T19:59:25.1701981Z [2023-07-07 19:56:48,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1702185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1702191Z 2023-07-07T19:59:25.1702373Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1702631Z - self: 2023-07-07T19:59:25.1702809Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T19:59:25.1702922Z - aten_name: 2023-07-07T19:59:25.1703053Z - function_overloads: 2023-07-07T19:59:25.1703168Z - onnx_args: 2023-07-07T19:59:25.1703285Z - onnx_kwargs: 2023-07-07T19:59:25.1703590Z - diagnostic_context: 2023-07-07T19:59:25.1703730Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T19:59:25.1703995Z [2023-07-07 19:56:48,343] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1704132Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1704137Z 2023-07-07T19:59:25.1704335Z [2023-07-07 19:56:48,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1704542Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1704548Z 2023-07-07T19:59:25.1704731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1704999Z - self: 2023-07-07T19:59:25.1705197Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1705310Z - aten_name: 2023-07-07T19:59:25.1705432Z - function_overloads: 2023-07-07T19:59:25.1705549Z - onnx_args: 2023-07-07T19:59:25.1705666Z - onnx_kwargs: 2023-07-07T19:59:25.1705968Z - diagnostic_context: 2023-07-07T19:59:25.1706120Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1706386Z [2023-07-07 19:56:48,346] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1706528Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1706534Z 2023-07-07T19:59:25.1706732Z [2023-07-07 19:56:48,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1706920Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1706925Z 2023-07-07T19:59:25.1707109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1707443Z - self: 2023-07-07T19:59:25.1707647Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1707760Z - aten_name: 2023-07-07T19:59:25.1707893Z - function_overloads: 2023-07-07T19:59:25.1708009Z - onnx_args: 2023-07-07T19:59:25.1708179Z - onnx_kwargs: 2023-07-07T19:59:25.1708469Z - diagnostic_context: 2023-07-07T19:59:25.1708623Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1708889Z [2023-07-07 19:56:48,349] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T19:59:25.1709026Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1709032Z 2023-07-07T19:59:25.1709228Z [2023-07-07 19:56:48,349] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1709432Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1709438Z 2023-07-07T19:59:25.1709621Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1709886Z - self: 2023-07-07T19:59:25.1710090Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T19:59:25.1710191Z - aten_name: 2023-07-07T19:59:25.1710322Z - function_overloads: 2023-07-07T19:59:25.1710440Z - onnx_args: 2023-07-07T19:59:25.1710556Z - onnx_kwargs: 2023-07-07T19:59:25.1710861Z - diagnostic_context: 2023-07-07T19:59:25.1711011Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1711284Z [2023-07-07 19:56:48,351] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T19:59:25.1711407Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1711412Z 2023-07-07T19:59:25.1711608Z [2023-07-07 19:56:48,351] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1711807Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1711817Z 2023-07-07T19:59:25.1711997Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1712260Z - self: 2023-07-07T19:59:25.1712460Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T19:59:25.1712573Z - aten_name: 2023-07-07T19:59:25.1712705Z - function_overloads: 2023-07-07T19:59:25.1712808Z - onnx_args: 2023-07-07T19:59:25.1712929Z - onnx_kwargs: 2023-07-07T19:59:25.1713230Z - diagnostic_context: 2023-07-07T19:59:25.1713382Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1713653Z [2023-07-07 19:56:48,354] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T19:59:25.1713795Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1713801Z 2023-07-07T19:59:25.1714000Z [2023-07-07 19:56:48,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1714199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1714205Z 2023-07-07T19:59:25.1714387Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1714721Z - self: 2023-07-07T19:59:25.1714992Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T19:59:25.1715108Z - aten_name: 2023-07-07T19:59:25.1715239Z - function_overloads: 2023-07-07T19:59:25.1715353Z - onnx_args: 2023-07-07T19:59:25.1715470Z - onnx_kwargs: 2023-07-07T19:59:25.1715772Z - diagnostic_context: 2023-07-07T19:59:25.1715966Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1716217Z [2023-07-07 19:56:48,476] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T19:59:25.1716355Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1716360Z 2023-07-07T19:59:25.1716554Z [2023-07-07 19:56:48,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1716756Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1716766Z 2023-07-07T19:59:25.1716950Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1717217Z - self: 2023-07-07T19:59:25.1717395Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T19:59:25.1717514Z - aten_name: 2023-07-07T19:59:25.1717633Z - function_overloads: 2023-07-07T19:59:25.1717748Z - onnx_args: 2023-07-07T19:59:25.1717864Z - onnx_kwargs: 2023-07-07T19:59:25.1718167Z - diagnostic_context: 2023-07-07T19:59:25.1718316Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T19:59:25.1718579Z [2023-07-07 19:56:48,478] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1718716Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1718725Z 2023-07-07T19:59:25.1718922Z [2023-07-07 19:56:48,478] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1719111Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1719130Z 2023-07-07T19:59:25.1719299Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1719569Z - self: 2023-07-07T19:59:25.1719765Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1719878Z - aten_name: 2023-07-07T19:59:25.1720009Z - function_overloads: 2023-07-07T19:59:25.1720135Z - onnx_args: 2023-07-07T19:59:25.1720252Z - onnx_kwargs: 2023-07-07T19:59:25.1720543Z - diagnostic_context: 2023-07-07T19:59:25.1720699Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1720968Z [2023-07-07 19:56:48,479] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1721105Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1721110Z 2023-07-07T19:59:25.1721304Z [2023-07-07 19:56:48,479] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1721508Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1721514Z 2023-07-07T19:59:25.1721694Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1721959Z - self: 2023-07-07T19:59:25.1722159Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1722261Z - aten_name: 2023-07-07T19:59:25.1722441Z - function_overloads: 2023-07-07T19:59:25.1722557Z - onnx_args: 2023-07-07T19:59:25.1722673Z - onnx_kwargs: 2023-07-07T19:59:25.1722974Z - diagnostic_context: 2023-07-07T19:59:25.1723124Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1723450Z [2023-07-07 19:56:48,481] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T19:59:25.1723573Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1723591Z 2023-07-07T19:59:25.1723774Z [2023-07-07 19:56:48,481] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1723974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1723980Z 2023-07-07T19:59:25.1724164Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1724669Z - self: 2023-07-07T19:59:25.1724890Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T19:59:25.1725003Z - aten_name: 2023-07-07T19:59:25.1725135Z - function_overloads: 2023-07-07T19:59:25.1725250Z - onnx_args: 2023-07-07T19:59:25.1725361Z - onnx_kwargs: 2023-07-07T19:59:25.1725666Z - diagnostic_context: 2023-07-07T19:59:25.1725819Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1726087Z [2023-07-07 19:56:48,482] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T19:59:25.1726224Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1726229Z 2023-07-07T19:59:25.1726431Z [2023-07-07 19:56:48,482] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1726631Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1726637Z 2023-07-07T19:59:25.1726819Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1727072Z - self: 2023-07-07T19:59:25.1727279Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T19:59:25.1727391Z - aten_name: 2023-07-07T19:59:25.1727523Z - function_overloads: 2023-07-07T19:59:25.1727636Z - onnx_args: 2023-07-07T19:59:25.1727753Z - onnx_kwargs: 2023-07-07T19:59:25.1728055Z - diagnostic_context: 2023-07-07T19:59:25.1728206Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1728467Z [2023-07-07 19:56:48,484] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T19:59:25.1728601Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1728607Z 2023-07-07T19:59:25.1728801Z [2023-07-07 19:56:48,484] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1729001Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1729011Z 2023-07-07T19:59:25.1729192Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1729456Z - self: 2023-07-07T19:59:25.1729654Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T19:59:25.1729767Z - aten_name: 2023-07-07T19:59:25.1729885Z - function_overloads: 2023-07-07T19:59:25.1729999Z - onnx_args: 2023-07-07T19:59:25.1730214Z - onnx_kwargs: 2023-07-07T19:59:25.1730520Z - diagnostic_context: 2023-07-07T19:59:25.1730671Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1730750Z PASSED [0.3836s] [ 37%] 2023-07-07T19:59:25.1731235Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_int64 [2023-07-07 19:56:48,589] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1731458Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1731464Z 2023-07-07T19:59:25.1731648Z [2023-07-07 19:56:48,589] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1731847Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1731853Z 2023-07-07T19:59:25.1732037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1732303Z - self: 2023-07-07T19:59:25.1732502Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1732616Z - aten_name: 2023-07-07T19:59:25.1732748Z - function_overloads: 2023-07-07T19:59:25.1732868Z - onnx_args: 2023-07-07T19:59:25.1732971Z - onnx_kwargs: 2023-07-07T19:59:25.1733278Z - diagnostic_context: 2023-07-07T19:59:25.1733430Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1733696Z [2023-07-07 19:56:48,592] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1733833Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1733839Z 2023-07-07T19:59:25.1734040Z [2023-07-07 19:56:48,592] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1734243Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1734250Z 2023-07-07T19:59:25.1734432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1734700Z - self: 2023-07-07T19:59:25.1734891Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1735004Z - aten_name: 2023-07-07T19:59:25.1735139Z - function_overloads: 2023-07-07T19:59:25.1735253Z - onnx_args: 2023-07-07T19:59:25.1735369Z - onnx_kwargs: 2023-07-07T19:59:25.1735674Z - diagnostic_context: 2023-07-07T19:59:25.1735825Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1736075Z [2023-07-07 19:56:48,698] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T19:59:25.1736199Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1736205Z 2023-07-07T19:59:25.1736399Z [2023-07-07 19:56:48,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1736596Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1736606Z 2023-07-07T19:59:25.1736786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1737051Z - self: 2023-07-07T19:59:25.1737230Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T19:59:25.1737342Z - aten_name: 2023-07-07T19:59:25.1737472Z - function_overloads: 2023-07-07T19:59:25.1737574Z - onnx_args: 2023-07-07T19:59:25.1737747Z - onnx_kwargs: 2023-07-07T19:59:25.1738051Z - diagnostic_context: 2023-07-07T19:59:25.1738198Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T19:59:25.1738464Z [2023-07-07 19:56:48,700] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1738658Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1738664Z 2023-07-07T19:59:25.1738860Z [2023-07-07 19:56:48,700] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1739062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1739067Z 2023-07-07T19:59:25.1739247Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1739506Z - self: 2023-07-07T19:59:25.1739705Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1739818Z - aten_name: 2023-07-07T19:59:25.1739948Z - function_overloads: 2023-07-07T19:59:25.1740062Z - onnx_args: 2023-07-07T19:59:25.1740179Z - onnx_kwargs: 2023-07-07T19:59:25.1740482Z - diagnostic_context: 2023-07-07T19:59:25.1740625Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1740891Z [2023-07-07 19:56:48,702] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1741026Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1741032Z 2023-07-07T19:59:25.1741227Z [2023-07-07 19:56:48,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1741432Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1741438Z 2023-07-07T19:59:25.1741620Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1741886Z - self: 2023-07-07T19:59:25.1742086Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1742204Z - aten_name: 2023-07-07T19:59:25.1742323Z - function_overloads: 2023-07-07T19:59:25.1742438Z - onnx_args: 2023-07-07T19:59:25.1742554Z - onnx_kwargs: 2023-07-07T19:59:25.1742857Z - diagnostic_context: 2023-07-07T19:59:25.1743009Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1743274Z [2023-07-07 19:56:48,703] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T19:59:25.1743415Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1743420Z 2023-07-07T19:59:25.1743615Z [2023-07-07 19:56:48,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1743805Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1743810Z 2023-07-07T19:59:25.1743996Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1744261Z - self: 2023-07-07T19:59:25.1744460Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T19:59:25.1744573Z - aten_name: 2023-07-07T19:59:25.1744704Z - function_overloads: 2023-07-07T19:59:25.1744818Z - onnx_args: 2023-07-07T19:59:25.1744933Z - onnx_kwargs: 2023-07-07T19:59:25.1745278Z - diagnostic_context: 2023-07-07T19:59:25.1745431Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1745696Z [2023-07-07 19:56:48,705] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T19:59:25.1745831Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1745899Z 2023-07-07T19:59:25.1746096Z [2023-07-07 19:56:48,705] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1746298Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1746304Z 2023-07-07T19:59:25.1746486Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1746751Z - self: 2023-07-07T19:59:25.1746937Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T19:59:25.1747054Z - aten_name: 2023-07-07T19:59:25.1747184Z - function_overloads: 2023-07-07T19:59:25.1747298Z - onnx_args: 2023-07-07T19:59:25.1747413Z - onnx_kwargs: 2023-07-07T19:59:25.1747715Z - diagnostic_context: 2023-07-07T19:59:25.1747867Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1748136Z [2023-07-07 19:56:48,707] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T19:59:25.1748260Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1748266Z 2023-07-07T19:59:25.1748460Z [2023-07-07 19:56:48,707] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1748659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1748665Z 2023-07-07T19:59:25.1748851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1749118Z - self: 2023-07-07T19:59:25.1749320Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T19:59:25.1749432Z - aten_name: 2023-07-07T19:59:25.1749564Z - function_overloads: 2023-07-07T19:59:25.1749671Z - onnx_args: 2023-07-07T19:59:25.1749788Z - onnx_kwargs: 2023-07-07T19:59:25.1750090Z - diagnostic_context: 2023-07-07T19:59:25.1750240Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1750486Z [2023-07-07 19:56:48,817] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T19:59:25.1750622Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1750627Z 2023-07-07T19:59:25.1750826Z [2023-07-07 19:56:48,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1751026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1751032Z 2023-07-07T19:59:25.1751212Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1751469Z - self: 2023-07-07T19:59:25.1751645Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T19:59:25.1751757Z - aten_name: 2023-07-07T19:59:25.1751887Z - function_overloads: 2023-07-07T19:59:25.1752001Z - onnx_args: 2023-07-07T19:59:25.1752115Z - onnx_kwargs: 2023-07-07T19:59:25.1752420Z - diagnostic_context: 2023-07-07T19:59:25.1752556Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T19:59:25.1752910Z [2023-07-07 19:56:48,819] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1753052Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1753058Z 2023-07-07T19:59:25.1753255Z [2023-07-07 19:56:48,820] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1753454Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1753515Z 2023-07-07T19:59:25.1753700Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1753968Z - self: 2023-07-07T19:59:25.1754167Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1754280Z - aten_name: 2023-07-07T19:59:25.1754399Z - function_overloads: 2023-07-07T19:59:25.1754594Z - onnx_args: 2023-07-07T19:59:25.1754720Z - onnx_kwargs: 2023-07-07T19:59:25.1755024Z - diagnostic_context: 2023-07-07T19:59:25.1755177Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1755445Z [2023-07-07 19:56:48,822] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1755586Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1755592Z 2023-07-07T19:59:25.1755788Z [2023-07-07 19:56:48,822] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1755978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1755984Z 2023-07-07T19:59:25.1756166Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1756439Z - self: 2023-07-07T19:59:25.1756639Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1756752Z - aten_name: 2023-07-07T19:59:25.1756883Z - function_overloads: 2023-07-07T19:59:25.1756999Z - onnx_args: 2023-07-07T19:59:25.1757115Z - onnx_kwargs: 2023-07-07T19:59:25.1757408Z - diagnostic_context: 2023-07-07T19:59:25.1757559Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1757825Z [2023-07-07 19:56:48,825] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T19:59:25.1757963Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1757969Z 2023-07-07T19:59:25.1758164Z [2023-07-07 19:56:48,825] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1758369Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1758375Z 2023-07-07T19:59:25.1758557Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1758823Z - self: 2023-07-07T19:59:25.1759023Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T19:59:25.1759128Z - aten_name: 2023-07-07T19:59:25.1759259Z - function_overloads: 2023-07-07T19:59:25.1759374Z - onnx_args: 2023-07-07T19:59:25.1759491Z - onnx_kwargs: 2023-07-07T19:59:25.1759794Z - diagnostic_context: 2023-07-07T19:59:25.1759947Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1760213Z [2023-07-07 19:56:48,827] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T19:59:25.1760414Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1760420Z 2023-07-07T19:59:25.1760620Z [2023-07-07 19:56:48,827] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1760824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1760885Z 2023-07-07T19:59:25.1761068Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1761334Z - self: 2023-07-07T19:59:25.1761533Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T19:59:25.1761647Z - aten_name: 2023-07-07T19:59:25.1761779Z - function_overloads: 2023-07-07T19:59:25.1761882Z - onnx_args: 2023-07-07T19:59:25.1761998Z - onnx_kwargs: 2023-07-07T19:59:25.1762308Z - diagnostic_context: 2023-07-07T19:59:25.1762460Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1762728Z [2023-07-07 19:56:48,829] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T19:59:25.1762869Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1762879Z 2023-07-07T19:59:25.1763075Z [2023-07-07 19:56:48,830] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1763278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1763283Z 2023-07-07T19:59:25.1763467Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1763720Z - self: 2023-07-07T19:59:25.1763925Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T19:59:25.1764038Z - aten_name: 2023-07-07T19:59:25.1764173Z - function_overloads: 2023-07-07T19:59:25.1764287Z - onnx_args: 2023-07-07T19:59:25.1764535Z - onnx_kwargs: 2023-07-07T19:59:25.1764853Z - diagnostic_context: 2023-07-07T19:59:25.1764997Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1765077Z PASSED [0.3335s] [ 37%] 2023-07-07T19:59:25.1765561Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_int8 [2023-07-07 19:56:48,947] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1765697Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1765703Z 2023-07-07T19:59:25.1765899Z [2023-07-07 19:56:48,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1766108Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1766114Z 2023-07-07T19:59:25.1766299Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1766568Z - self: 2023-07-07T19:59:25.1766771Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1766871Z - aten_name: 2023-07-07T19:59:25.1767002Z - function_overloads: 2023-07-07T19:59:25.1767116Z - onnx_args: 2023-07-07T19:59:25.1767232Z - onnx_kwargs: 2023-07-07T19:59:25.1767535Z - diagnostic_context: 2023-07-07T19:59:25.1767691Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1768046Z [2023-07-07 19:56:48,950] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1768184Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1768190Z 2023-07-07T19:59:25.1768375Z [2023-07-07 19:56:48,950] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1768576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1768647Z 2023-07-07T19:59:25.1768831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1769098Z - self: 2023-07-07T19:59:25.1769300Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1769412Z - aten_name: 2023-07-07T19:59:25.1769544Z - function_overloads: 2023-07-07T19:59:25.1769660Z - onnx_args: 2023-07-07T19:59:25.1769763Z - onnx_kwargs: 2023-07-07T19:59:25.1770071Z - diagnostic_context: 2023-07-07T19:59:25.1770224Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1770300Z XFAIL [0.1135s] [ 37%] 2023-07-07T19:59:25.1770779Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_chunk_cpu_uint8 [2023-07-07 19:56:49,056] torch.onnx: [WARNING] FX Node: call_function:[name=getitem]. 2023-07-07T19:59:25.1770921Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1770927Z 2023-07-07T19:59:25.1771122Z [2023-07-07 19:56:49,056] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1771321Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1771327Z 2023-07-07T19:59:25.1771510Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1771769Z - self: 2023-07-07T19:59:25.1771968Z - node: fx.Node(getitem[call_function]'') 2023-07-07T19:59:25.1772080Z - aten_name: 2023-07-07T19:59:25.1772212Z - function_overloads: 2023-07-07T19:59:25.1772328Z - onnx_args: 2023-07-07T19:59:25.1772448Z - onnx_kwargs: 2023-07-07T19:59:25.1772751Z - diagnostic_context: 2023-07-07T19:59:25.1772903Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1773159Z [2023-07-07 19:56:49,058] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_1]. 2023-07-07T19:59:25.1773294Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1773300Z 2023-07-07T19:59:25.1773496Z [2023-07-07 19:56:49,058] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1773700Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1773706Z 2023-07-07T19:59:25.1773888Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1774155Z - self: 2023-07-07T19:59:25.1774359Z - node: fx.Node(getitem_1[call_function]'') 2023-07-07T19:59:25.1774471Z - aten_name: 2023-07-07T19:59:25.1774589Z - function_overloads: 2023-07-07T19:59:25.1774705Z - onnx_args: 2023-07-07T19:59:25.1774822Z - onnx_kwargs: 2023-07-07T19:59:25.1775122Z - diagnostic_context: 2023-07-07T19:59:25.1775273Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T19:59:25.1775347Z XFAIL [0.1020s] [ 37%] 2023-07-07T19:59:25.1775879Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_cpu_float16 [2023-07-07 19:56:49,408] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1776017Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1776022Z 2023-07-07T19:59:25.1776208Z [2023-07-07 19:56:49,408] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1776462Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1776468Z 2023-07-07T19:59:25.1776651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1776915Z - self: 2023-07-07T19:59:25.1777096Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1777209Z - aten_name: 2023-07-07T19:59:25.1777344Z - function_overloads: 2023-07-07T19:59:25.1777458Z - onnx_args: 2023-07-07T19:59:25.1777560Z - onnx_kwargs: 2023-07-07T19:59:25.1777864Z - diagnostic_context: 2023-07-07T19:59:25.1778076Z - Return value: 2023-07-07T19:59:25.1778329Z [2023-07-07 19:56:49,503] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1778464Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1778469Z 2023-07-07T19:59:25.1778666Z [2023-07-07 19:56:49,503] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1778866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1778872Z 2023-07-07T19:59:25.1779052Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1779321Z - self: 2023-07-07T19:59:25.1779488Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1779603Z - aten_name: 2023-07-07T19:59:25.1779733Z - function_overloads: 2023-07-07T19:59:25.1779848Z - onnx_args: 2023-07-07T19:59:25.1779968Z - onnx_kwargs: 2023-07-07T19:59:25.1780269Z - diagnostic_context: 2023-07-07T19:59:25.1780480Z - Return value: 2023-07-07T19:59:25.1780715Z [2023-07-07 19:56:49,594] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1780852Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1780858Z 2023-07-07T19:59:25.1781053Z [2023-07-07 19:56:49,594] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1781254Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1781260Z 2023-07-07T19:59:25.1781444Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1781709Z - self: 2023-07-07T19:59:25.1781890Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1782003Z - aten_name: 2023-07-07T19:59:25.1782134Z - function_overloads: 2023-07-07T19:59:25.1782236Z - onnx_args: 2023-07-07T19:59:25.1782352Z - onnx_kwargs: 2023-07-07T19:59:25.1782652Z - diagnostic_context: 2023-07-07T19:59:25.1782861Z - Return value: 2023-07-07T19:59:25.1782939Z PASSED [0.5366s] [ 37%] 2023-07-07T19:59:25.1783469Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_cpu_float32 [2023-07-07 19:56:49,827] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1783605Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1783611Z 2023-07-07T19:59:25.1783806Z [2023-07-07 19:56:49,827] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1784054Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1784072Z 2023-07-07T19:59:25.1784240Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1784506Z - self: 2023-07-07T19:59:25.1784684Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1784796Z - aten_name: 2023-07-07T19:59:25.1784931Z - function_overloads: 2023-07-07T19:59:25.1785044Z - onnx_args: 2023-07-07T19:59:25.1785160Z - onnx_kwargs: 2023-07-07T19:59:25.1785449Z - diagnostic_context: 2023-07-07T19:59:25.1785660Z - Return value: 2023-07-07T19:59:25.1785910Z [2023-07-07 19:56:49,879] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1786046Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1786051Z 2023-07-07T19:59:25.1786245Z [2023-07-07 19:56:49,879] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1786443Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1786449Z 2023-07-07T19:59:25.1786631Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1786899Z - self: 2023-07-07T19:59:25.1787077Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1787177Z - aten_name: 2023-07-07T19:59:25.1787309Z - function_overloads: 2023-07-07T19:59:25.1787423Z - onnx_args: 2023-07-07T19:59:25.1787544Z - onnx_kwargs: 2023-07-07T19:59:25.1787846Z - diagnostic_context: 2023-07-07T19:59:25.1788057Z - Return value: 2023-07-07T19:59:25.1788304Z [2023-07-07 19:56:49,930] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1788425Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1788443Z 2023-07-07T19:59:25.1788625Z [2023-07-07 19:56:49,930] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1788827Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1788833Z 2023-07-07T19:59:25.1789012Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1789277Z - self: 2023-07-07T19:59:25.1789456Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1789568Z - aten_name: 2023-07-07T19:59:25.1789699Z - function_overloads: 2023-07-07T19:59:25.1789811Z - onnx_args: 2023-07-07T19:59:25.1789915Z - onnx_kwargs: 2023-07-07T19:59:25.1790215Z - diagnostic_context: 2023-07-07T19:59:25.1790422Z - Return value: 2023-07-07T19:59:25.1790498Z PASSED [0.3292s] [ 38%] 2023-07-07T19:59:25.1790792Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_cpu_int16 XFAIL [0.0586s] [ 38%] 2023-07-07T19:59:25.1791256Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_cpu_int32 [2023-07-07 19:56:50,219] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1791447Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1791452Z 2023-07-07T19:59:25.1791649Z [2023-07-07 19:56:50,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1791836Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1791854Z 2023-07-07T19:59:25.1792022Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1792286Z - self: 2023-07-07T19:59:25.1792469Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1792582Z - aten_name: 2023-07-07T19:59:25.1792712Z - function_overloads: 2023-07-07T19:59:25.1792826Z - onnx_args: 2023-07-07T19:59:25.1792942Z - onnx_kwargs: 2023-07-07T19:59:25.1793230Z - diagnostic_context: 2023-07-07T19:59:25.1793444Z - Return value: 2023-07-07T19:59:25.1793693Z [2023-07-07 19:56:50,503] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1793828Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1793834Z 2023-07-07T19:59:25.1794029Z [2023-07-07 19:56:50,503] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1794232Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1794238Z 2023-07-07T19:59:25.1794420Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1794768Z - self: 2023-07-07T19:59:25.1794947Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1795052Z - aten_name: 2023-07-07T19:59:25.1795186Z - function_overloads: 2023-07-07T19:59:25.1795300Z - onnx_args: 2023-07-07T19:59:25.1795416Z - onnx_kwargs: 2023-07-07T19:59:25.1795718Z - diagnostic_context: 2023-07-07T19:59:25.1795930Z - Return value: 2023-07-07T19:59:25.1796215Z [2023-07-07 19:56:50,557] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1796409Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1796431Z 2023-07-07T19:59:25.1796715Z [2023-07-07 19:56:50,557] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1797013Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1797022Z 2023-07-07T19:59:25.1797296Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1797701Z - self: 2023-07-07T19:59:25.1797969Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1808928Z - aten_name: 2023-07-07T19:59:25.1809137Z - function_overloads: 2023-07-07T19:59:25.1809324Z - onnx_args: 2023-07-07T19:59:25.1809508Z - onnx_kwargs: 2023-07-07T19:59:25.1809989Z - diagnostic_context: 2023-07-07T19:59:25.1810539Z - Return value: 2023-07-07T19:59:25.1810661Z PASSED [0.5650s] [ 38%] 2023-07-07T19:59:25.1811384Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_cpu_int64 [2023-07-07 19:56:50,727] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1811689Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1811699Z 2023-07-07T19:59:25.1812002Z [2023-07-07 19:56:50,727] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1812311Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1812322Z 2023-07-07T19:59:25.1812597Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1813012Z - self: 2023-07-07T19:59:25.1813296Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1813471Z - aten_name: 2023-07-07T19:59:25.1813674Z - function_overloads: 2023-07-07T19:59:25.1813835Z - onnx_args: 2023-07-07T19:59:25.1814013Z - onnx_kwargs: 2023-07-07T19:59:25.1814478Z - diagnostic_context: 2023-07-07T19:59:25.1814807Z - Return value: 2023-07-07T19:59:25.1815191Z [2023-07-07 19:56:50,777] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1815397Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1815406Z 2023-07-07T19:59:25.1815709Z [2023-07-07 19:56:50,777] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1816022Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1816031Z 2023-07-07T19:59:25.1816294Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1816701Z - self: 2023-07-07T19:59:25.1816977Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1817154Z - aten_name: 2023-07-07T19:59:25.1817356Z - function_overloads: 2023-07-07T19:59:25.1817531Z - onnx_args: 2023-07-07T19:59:25.1817707Z - onnx_kwargs: 2023-07-07T19:59:25.1818150Z - diagnostic_context: 2023-07-07T19:59:25.1818467Z - Return value: 2023-07-07T19:59:25.1818845Z [2023-07-07 19:56:50,829] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1819052Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1819061Z 2023-07-07T19:59:25.1819360Z [2023-07-07 19:56:50,829] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1819661Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1819669Z 2023-07-07T19:59:25.1819944Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1820358Z - self: 2023-07-07T19:59:25.1820626Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1820781Z - aten_name: 2023-07-07T19:59:25.1820982Z - function_overloads: 2023-07-07T19:59:25.1821157Z - onnx_args: 2023-07-07T19:59:25.1821331Z - onnx_kwargs: 2023-07-07T19:59:25.1821850Z - diagnostic_context: 2023-07-07T19:59:25.1822169Z - Return value: 2023-07-07T19:59:25.1822287Z PASSED [0.2926s] [ 38%] 2023-07-07T19:59:25.1822643Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_cpu_int8 XFAIL [0.1038s] [ 38%] 2023-07-07T19:59:25.1823345Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_cpu_uint8 [2023-07-07 19:56:51,058] torch.onnx: [WARNING] FX Node: call_function:aten.clamp.Tensor[name=clamp]. 2023-07-07T19:59:25.1823611Z ONNX Node: aten_clamp[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1823620Z 2023-07-07T19:59:25.1823914Z [2023-07-07 19:56:51,058] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1824217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1824226Z 2023-07-07T19:59:25.1824507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1824915Z - self: 2023-07-07T19:59:25.1825186Z - node: fx.Node(clamp[call_function]'aten.clamp.Tensor') 2023-07-07T19:59:25.1825359Z - aten_name: 2023-07-07T19:59:25.1825559Z - function_overloads: 2023-07-07T19:59:25.1825724Z - onnx_args: 2023-07-07T19:59:25.1825904Z - onnx_kwargs: 2023-07-07T19:59:25.1826361Z - diagnostic_context: 2023-07-07T19:59:25.1826680Z - Return value: 2023-07-07T19:59:25.1826791Z XFAIL [0.0974s] [ 39%] 2023-07-07T19:59:25.1827527Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_bool [2023-07-07 19:56:51,137] torch.onnx: [WARNING] FX Node: call_function:aten.clamp_max.Tensor[name=clamp_max]. 2023-07-07T19:59:25.1827741Z ONNX Node: aten_clamp_max[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1827750Z 2023-07-07T19:59:25.1828046Z [2023-07-07 19:56:51,137] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1828334Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1828361Z 2023-07-07T19:59:25.1828623Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1829023Z - self: 2023-07-07T19:59:25.1829311Z - node: fx.Node(clamp_max[call_function]'aten.clamp_max.Tensor') 2023-07-07T19:59:25.1829482Z - aten_name: 2023-07-07T19:59:25.1829681Z - function_overloads: 2023-07-07T19:59:25.1829856Z - onnx_args: 2023-07-07T19:59:25.1830035Z - onnx_kwargs: 2023-07-07T19:59:25.1830484Z - diagnostic_context: 2023-07-07T19:59:25.1830719Z - Return value: `OnnxFunction(aten_clamp_max)` 2023-07-07T19:59:25.1830829Z XFAIL [0.0766s] [ 39%] 2023-07-07T19:59:25.1831195Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_float16 PASSED [0.7121s] [ 39%] 2023-07-07T19:59:25.1831562Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_float32 PASSED [0.6735s] [ 39%] 2023-07-07T19:59:25.1831917Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_int16 XFAIL [0.0677s] [ 39%] 2023-07-07T19:59:25.1832274Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_int32 PASSED [0.6453s] [ 39%] 2023-07-07T19:59:25.1832627Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_int64 PASSED [0.5193s] [ 40%] 2023-07-07T19:59:25.1833090Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_int8 XFAIL [0.0480s] [ 40%] 2023-07-07T19:59:25.1833818Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_max_cpu_uint8 [2023-07-07 19:56:53,867] torch.onnx: [WARNING] FX Node: call_function:aten.clamp_max.Tensor[name=clamp_max]. 2023-07-07T19:59:25.1834092Z ONNX Node: aten_clamp_max[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1834101Z 2023-07-07T19:59:25.1834403Z [2023-07-07 19:56:53,867] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1834778Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1834787Z 2023-07-07T19:59:25.1835064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1835484Z - self: 2023-07-07T19:59:25.1835780Z - node: fx.Node(clamp_max[call_function]'aten.clamp_max.Tensor') 2023-07-07T19:59:25.1835957Z - aten_name: 2023-07-07T19:59:25.1836158Z - function_overloads: 2023-07-07T19:59:25.1836318Z - onnx_args: 2023-07-07T19:59:25.1836498Z - onnx_kwargs: 2023-07-07T19:59:25.1836967Z - diagnostic_context: 2023-07-07T19:59:25.1837207Z - Return value: `OnnxFunction(aten_clamp_max)` 2023-07-07T19:59:25.1837322Z XFAIL [0.0500s] [ 40%] 2023-07-07T19:59:25.1838061Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_bool [2023-07-07 19:56:53,919] torch.onnx: [WARNING] FX Node: call_function:aten.clamp_min.Tensor[name=clamp_min]. 2023-07-07T19:59:25.1838275Z ONNX Node: aten_clamp_min[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1838283Z 2023-07-07T19:59:25.1838592Z [2023-07-07 19:56:53,919] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1838884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1838909Z 2023-07-07T19:59:25.1839169Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1839581Z - self: 2023-07-07T19:59:25.1839870Z - node: fx.Node(clamp_min[call_function]'aten.clamp_min.Tensor') 2023-07-07T19:59:25.1840038Z - aten_name: 2023-07-07T19:59:25.1840241Z - function_overloads: 2023-07-07T19:59:25.1840415Z - onnx_args: 2023-07-07T19:59:25.1840592Z - onnx_kwargs: 2023-07-07T19:59:25.1840913Z - diagnostic_context: 2023-07-07T19:59:25.1841076Z - Return value: `OnnxFunction(aten_clamp_min)` 2023-07-07T19:59:25.1841152Z XFAIL [0.0479s] [ 40%] 2023-07-07T19:59:25.1841406Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_float16 PASSED [0.5617s] [ 40%] 2023-07-07T19:59:25.1841649Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_float32 PASSED [0.4509s] [ 40%] 2023-07-07T19:59:25.1841893Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_int16 XFAIL [0.0480s] [ 41%] 2023-07-07T19:59:25.1842132Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_int32 PASSED [0.4486s] [ 41%] 2023-07-07T19:59:25.1842371Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_int64 PASSED [0.4554s] [ 41%] 2023-07-07T19:59:25.1842684Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_int8 XFAIL [0.0467s] [ 41%] 2023-07-07T19:59:25.1843169Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clamp_min_cpu_uint8 [2023-07-07 19:56:55,989] torch.onnx: [WARNING] FX Node: call_function:aten.clamp_min.Tensor[name=clamp_min]. 2023-07-07T19:59:25.1843298Z ONNX Node: aten_clamp_min[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1843361Z 2023-07-07T19:59:25.1843560Z [2023-07-07 19:56:55,989] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1843764Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1843769Z 2023-07-07T19:59:25.1843954Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1844226Z - self: 2023-07-07T19:59:25.1844570Z - node: fx.Node(clamp_min[call_function]'aten.clamp_min.Tensor') 2023-07-07T19:59:25.1844701Z - aten_name: 2023-07-07T19:59:25.1844837Z - function_overloads: 2023-07-07T19:59:25.1844940Z - onnx_args: 2023-07-07T19:59:25.1845059Z - onnx_kwargs: 2023-07-07T19:59:25.1845364Z - diagnostic_context: 2023-07-07T19:59:25.1845529Z - Return value: `OnnxFunction(aten_clamp_min)` 2023-07-07T19:59:25.1845606Z XFAIL [0.0479s] [ 41%] 2023-07-07T19:59:25.1846075Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_bool [2023-07-07 19:56:56,035] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1846211Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1846218Z 2023-07-07T19:59:25.1846419Z [2023-07-07 19:56:56,035] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1846627Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1846633Z 2023-07-07T19:59:25.1846804Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1847073Z - self: 2023-07-07T19:59:25.1847256Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1847376Z - aten_name: 2023-07-07T19:59:25.1847509Z - function_overloads: 2023-07-07T19:59:25.1847623Z - onnx_args: 2023-07-07T19:59:25.1847739Z - onnx_kwargs: 2023-07-07T19:59:25.1848030Z - diagnostic_context: 2023-07-07T19:59:25.1848179Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1848432Z [2023-07-07 19:56:56,073] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1848571Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1848577Z 2023-07-07T19:59:25.1848776Z [2023-07-07 19:56:56,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1848981Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1848987Z 2023-07-07T19:59:25.1849174Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1849442Z - self: 2023-07-07T19:59:25.1849622Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1849723Z - aten_name: 2023-07-07T19:59:25.1849854Z - function_overloads: 2023-07-07T19:59:25.1849970Z - onnx_args: 2023-07-07T19:59:25.1850086Z - onnx_kwargs: 2023-07-07T19:59:25.1850487Z - diagnostic_context: 2023-07-07T19:59:25.1850640Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1850721Z PASSED [0.0804s] [ 42%] 2023-07-07T19:59:25.1851191Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_float16 [2023-07-07 19:56:56,116] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1851383Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1851389Z 2023-07-07T19:59:25.1851589Z [2023-07-07 19:56:56,116] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1851793Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1851799Z 2023-07-07T19:59:25.1851981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1852253Z - self: 2023-07-07T19:59:25.1852433Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1852549Z - aten_name: 2023-07-07T19:59:25.1852681Z - function_overloads: 2023-07-07T19:59:25.1852783Z - onnx_args: 2023-07-07T19:59:25.1852897Z - onnx_kwargs: 2023-07-07T19:59:25.1853205Z - diagnostic_context: 2023-07-07T19:59:25.1853352Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1853604Z [2023-07-07 19:56:56,153] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1853738Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1853744Z 2023-07-07T19:59:25.1853942Z [2023-07-07 19:56:56,154] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1854149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1854155Z 2023-07-07T19:59:25.1854339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1854595Z - self: 2023-07-07T19:59:25.1854777Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1854900Z - aten_name: 2023-07-07T19:59:25.1855033Z - function_overloads: 2023-07-07T19:59:25.1855150Z - onnx_args: 2023-07-07T19:59:25.1855266Z - onnx_kwargs: 2023-07-07T19:59:25.1855570Z - diagnostic_context: 2023-07-07T19:59:25.1855704Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1855782Z PASSED [0.0789s] [ 42%] 2023-07-07T19:59:25.1856255Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_float32 [2023-07-07 19:56:56,196] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1856390Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1856396Z 2023-07-07T19:59:25.1856593Z [2023-07-07 19:56:56,196] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1856796Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1856806Z 2023-07-07T19:59:25.1856987Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1857255Z - self: 2023-07-07T19:59:25.1857432Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1857532Z - aten_name: 2023-07-07T19:59:25.1857661Z - function_overloads: 2023-07-07T19:59:25.1857777Z - onnx_args: 2023-07-07T19:59:25.1857948Z - onnx_kwargs: 2023-07-07T19:59:25.1858255Z - diagnostic_context: 2023-07-07T19:59:25.1858401Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1858653Z [2023-07-07 19:56:56,234] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1858841Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1858860Z 2023-07-07T19:59:25.1859045Z [2023-07-07 19:56:56,234] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1859286Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1859295Z 2023-07-07T19:59:25.1859514Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1859791Z - self: 2023-07-07T19:59:25.1859979Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1860095Z - aten_name: 2023-07-07T19:59:25.1860232Z - function_overloads: 2023-07-07T19:59:25.1860349Z - onnx_args: 2023-07-07T19:59:25.1860453Z - onnx_kwargs: 2023-07-07T19:59:25.1860761Z - diagnostic_context: 2023-07-07T19:59:25.1860913Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1860991Z PASSED [0.0784s] [ 42%] 2023-07-07T19:59:25.1861462Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_int16 [2023-07-07 19:56:56,275] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1861600Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1861606Z 2023-07-07T19:59:25.1861804Z [2023-07-07 19:56:56,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1862013Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1862020Z 2023-07-07T19:59:25.1862204Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1862459Z - self: 2023-07-07T19:59:25.1862646Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1862761Z - aten_name: 2023-07-07T19:59:25.1862894Z - function_overloads: 2023-07-07T19:59:25.1863008Z - onnx_args: 2023-07-07T19:59:25.1863125Z - onnx_kwargs: 2023-07-07T19:59:25.1863428Z - diagnostic_context: 2023-07-07T19:59:25.1863562Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1863815Z [2023-07-07 19:56:56,313] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1863949Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1863955Z 2023-07-07T19:59:25.1864152Z [2023-07-07 19:56:56,313] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1864356Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1864367Z 2023-07-07T19:59:25.1864549Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1864816Z - self: 2023-07-07T19:59:25.1864997Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1865109Z - aten_name: 2023-07-07T19:59:25.1865227Z - function_overloads: 2023-07-07T19:59:25.1865341Z - onnx_args: 2023-07-07T19:59:25.1865458Z - onnx_kwargs: 2023-07-07T19:59:25.1865835Z - diagnostic_context: 2023-07-07T19:59:25.1865988Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1866068Z PASSED [0.0774s] [ 42%] 2023-07-07T19:59:25.1866532Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_int32 [2023-07-07 19:56:56,354] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1866712Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1866731Z 2023-07-07T19:59:25.1866916Z [2023-07-07 19:56:56,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1867117Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1867123Z 2023-07-07T19:59:25.1867304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1867577Z - self: 2023-07-07T19:59:25.1867758Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1867871Z - aten_name: 2023-07-07T19:59:25.1868001Z - function_overloads: 2023-07-07T19:59:25.1868114Z - onnx_args: 2023-07-07T19:59:25.1868222Z - onnx_kwargs: 2023-07-07T19:59:25.1868524Z - diagnostic_context: 2023-07-07T19:59:25.1868671Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1868921Z [2023-07-07 19:56:56,391] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1869055Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1869061Z 2023-07-07T19:59:25.1869256Z [2023-07-07 19:56:56,391] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1869462Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1869468Z 2023-07-07T19:59:25.1869653Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1869910Z - self: 2023-07-07T19:59:25.1870095Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1870208Z - aten_name: 2023-07-07T19:59:25.1870340Z - function_overloads: 2023-07-07T19:59:25.1870454Z - onnx_args: 2023-07-07T19:59:25.1870570Z - onnx_kwargs: 2023-07-07T19:59:25.1870872Z - diagnostic_context: 2023-07-07T19:59:25.1871018Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1871083Z PASSED [0.0766s] [ 42%] 2023-07-07T19:59:25.1871552Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_int64 [2023-07-07 19:56:56,432] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1871686Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1871692Z 2023-07-07T19:59:25.1871888Z [2023-07-07 19:56:56,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1872097Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1872103Z 2023-07-07T19:59:25.1872283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1872553Z - self: 2023-07-07T19:59:25.1872735Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1872848Z - aten_name: 2023-07-07T19:59:25.1872967Z - function_overloads: 2023-07-07T19:59:25.1873144Z - onnx_args: 2023-07-07T19:59:25.1873264Z - onnx_kwargs: 2023-07-07T19:59:25.1873569Z - diagnostic_context: 2023-07-07T19:59:25.1873716Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1873969Z [2023-07-07 19:56:56,686] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1874163Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1874168Z 2023-07-07T19:59:25.1874352Z [2023-07-07 19:56:56,686] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1874635Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1874642Z 2023-07-07T19:59:25.1874828Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1875107Z - self: 2023-07-07T19:59:25.1875290Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1875406Z - aten_name: 2023-07-07T19:59:25.1875539Z - function_overloads: 2023-07-07T19:59:25.1875657Z - onnx_args: 2023-07-07T19:59:25.1875759Z - onnx_kwargs: 2023-07-07T19:59:25.1876069Z - diagnostic_context: 2023-07-07T19:59:25.1876217Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1876298Z PASSED [0.2951s] [ 42%] 2023-07-07T19:59:25.1876766Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_int8 [2023-07-07 19:56:56,745] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1876907Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1876913Z 2023-07-07T19:59:25.1877118Z [2023-07-07 19:56:56,745] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1877326Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1877332Z 2023-07-07T19:59:25.1877523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1877782Z - self: 2023-07-07T19:59:25.1877964Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1878080Z - aten_name: 2023-07-07T19:59:25.1878213Z - function_overloads: 2023-07-07T19:59:25.1878331Z - onnx_args: 2023-07-07T19:59:25.1878447Z - onnx_kwargs: 2023-07-07T19:59:25.1878750Z - diagnostic_context: 2023-07-07T19:59:25.1878896Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1879139Z [2023-07-07 19:56:56,796] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1879273Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1879279Z 2023-07-07T19:59:25.1879476Z [2023-07-07 19:56:56,796] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1879679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1879689Z 2023-07-07T19:59:25.1879873Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1880142Z - self: 2023-07-07T19:59:25.1880323Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1880435Z - aten_name: 2023-07-07T19:59:25.1880554Z - function_overloads: 2023-07-07T19:59:25.1880667Z - onnx_args: 2023-07-07T19:59:25.1880849Z - onnx_kwargs: 2023-07-07T19:59:25.1881155Z - diagnostic_context: 2023-07-07T19:59:25.1881301Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1881379Z PASSED [0.1077s] [ 43%] 2023-07-07T19:59:25.1881843Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_clone_cpu_uint8 [2023-07-07 19:56:56,854] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1882039Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1882045Z 2023-07-07T19:59:25.1882229Z [2023-07-07 19:56:56,855] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1882431Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1882437Z 2023-07-07T19:59:25.1882626Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1882938Z - self: 2023-07-07T19:59:25.1883118Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1883232Z - aten_name: 2023-07-07T19:59:25.1883365Z - function_overloads: 2023-07-07T19:59:25.1883484Z - onnx_args: 2023-07-07T19:59:25.1883588Z - onnx_kwargs: 2023-07-07T19:59:25.1883890Z - diagnostic_context: 2023-07-07T19:59:25.1884038Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1884291Z [2023-07-07 19:56:56,906] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T19:59:25.1884581Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1884588Z 2023-07-07T19:59:25.1884803Z [2023-07-07 19:56:56,906] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1885011Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1885017Z 2023-07-07T19:59:25.1885203Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1885478Z - self: 2023-07-07T19:59:25.1885650Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T19:59:25.1885766Z - aten_name: 2023-07-07T19:59:25.1885901Z - function_overloads: 2023-07-07T19:59:25.1886021Z - onnx_args: 2023-07-07T19:59:25.1886140Z - onnx_kwargs: 2023-07-07T19:59:25.1886447Z - diagnostic_context: 2023-07-07T19:59:25.1886596Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T19:59:25.1886662Z PASSED [0.1079s] [ 43%] 2023-07-07T19:59:25.1887187Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_bool [2023-07-07 19:56:57,037] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1887344Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1887350Z 2023-07-07T19:59:25.1887554Z [2023-07-07 19:56:57,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1887757Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1887763Z 2023-07-07T19:59:25.1887945Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1888214Z - self: 2023-07-07T19:59:25.1888431Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1888657Z - aten_name: 2023-07-07T19:59:25.1888781Z - function_overloads: 2023-07-07T19:59:25.1888899Z - onnx_args: 2023-07-07T19:59:25.1889019Z - onnx_kwargs: 2023-07-07T19:59:25.1889333Z - diagnostic_context: 2023-07-07T19:59:25.1889504Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1889913Z [2023-07-07 19:56:57,105] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1890065Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1890071Z 2023-07-07T19:59:25.1890268Z [2023-07-07 19:56:57,105] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1890457Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1890477Z 2023-07-07T19:59:25.1890651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1890920Z - self: 2023-07-07T19:59:25.1891140Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1891255Z - aten_name: 2023-07-07T19:59:25.1891398Z - function_overloads: 2023-07-07T19:59:25.1891518Z - onnx_args: 2023-07-07T19:59:25.1891636Z - onnx_kwargs: 2023-07-07T19:59:25.1891926Z - diagnostic_context: 2023-07-07T19:59:25.1892098Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1892386Z [2023-07-07 19:56:57,178] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1892536Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1892546Z 2023-07-07T19:59:25.1892743Z [2023-07-07 19:56:57,179] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1892948Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1892953Z 2023-07-07T19:59:25.1893137Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1893409Z - self: 2023-07-07T19:59:25.1893625Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1893726Z - aten_name: 2023-07-07T19:59:25.1893857Z - function_overloads: 2023-07-07T19:59:25.1893971Z - onnx_args: 2023-07-07T19:59:25.1894088Z - onnx_kwargs: 2023-07-07T19:59:25.1894393Z - diagnostic_context: 2023-07-07T19:59:25.1894564Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1894847Z [2023-07-07 19:56:57,247] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1894994Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1895000Z 2023-07-07T19:59:25.1895181Z [2023-07-07 19:56:57,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1895387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1895392Z 2023-07-07T19:59:25.1895573Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1895837Z - self: 2023-07-07T19:59:25.1896051Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1896221Z - aten_name: 2023-07-07T19:59:25.1896353Z - function_overloads: 2023-07-07T19:59:25.1896469Z - onnx_args: 2023-07-07T19:59:25.1896575Z - onnx_kwargs: 2023-07-07T19:59:25.1896878Z - diagnostic_context: 2023-07-07T19:59:25.1897044Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1897381Z [2023-07-07 19:56:57,316] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1897528Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1897534Z 2023-07-07T19:59:25.1897729Z [2023-07-07 19:56:57,316] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1897932Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1897938Z 2023-07-07T19:59:25.1898126Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1898392Z - self: 2023-07-07T19:59:25.1898593Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1898706Z - aten_name: 2023-07-07T19:59:25.1898837Z - function_overloads: 2023-07-07T19:59:25.1898956Z - onnx_args: 2023-07-07T19:59:25.1899071Z - onnx_kwargs: 2023-07-07T19:59:25.1899372Z - diagnostic_context: 2023-07-07T19:59:25.1899538Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1899807Z [2023-07-07 19:56:57,393] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1899955Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1899960Z 2023-07-07T19:59:25.1900159Z [2023-07-07 19:56:57,393] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1900361Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1900367Z 2023-07-07T19:59:25.1900550Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1900821Z - self: 2023-07-07T19:59:25.1901036Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1901150Z - aten_name: 2023-07-07T19:59:25.1901282Z - function_overloads: 2023-07-07T19:59:25.1901384Z - onnx_args: 2023-07-07T19:59:25.1901498Z - onnx_kwargs: 2023-07-07T19:59:25.1901802Z - diagnostic_context: 2023-07-07T19:59:25.1901974Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1902255Z [2023-07-07 19:56:57,471] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1902402Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1902408Z 2023-07-07T19:59:25.1902603Z [2023-07-07 19:56:57,472] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1902811Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1902817Z 2023-07-07T19:59:25.1903002Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1903257Z - self: 2023-07-07T19:59:25.1903468Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1903581Z - aten_name: 2023-07-07T19:59:25.1903777Z - function_overloads: 2023-07-07T19:59:25.1903894Z - onnx_args: 2023-07-07T19:59:25.1904010Z - onnx_kwargs: 2023-07-07T19:59:25.1904312Z - diagnostic_context: 2023-07-07T19:59:25.1904465Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1904799Z [2023-07-07 19:56:57,540] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1904950Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1904956Z 2023-07-07T19:59:25.1905154Z [2023-07-07 19:56:57,540] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1905355Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1905360Z 2023-07-07T19:59:25.1905546Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1905811Z - self: 2023-07-07T19:59:25.1906025Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1906138Z - aten_name: 2023-07-07T19:59:25.1906258Z - function_overloads: 2023-07-07T19:59:25.1906376Z - onnx_args: 2023-07-07T19:59:25.1906493Z - onnx_kwargs: 2023-07-07T19:59:25.1906798Z - diagnostic_context: 2023-07-07T19:59:25.1906965Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1907251Z [2023-07-07 19:56:57,607] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1907398Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1907404Z 2023-07-07T19:59:25.1907603Z [2023-07-07 19:56:57,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1907793Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1907810Z 2023-07-07T19:59:25.1907981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1908253Z - self: 2023-07-07T19:59:25.1908468Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1908579Z - aten_name: 2023-07-07T19:59:25.1908711Z - function_overloads: 2023-07-07T19:59:25.1908825Z - onnx_args: 2023-07-07T19:59:25.1908941Z - onnx_kwargs: 2023-07-07T19:59:25.1909229Z - diagnostic_context: 2023-07-07T19:59:25.1909396Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1909682Z [2023-07-07 19:56:57,664] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1909831Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1909836Z 2023-07-07T19:59:25.1910031Z [2023-07-07 19:56:57,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1910237Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1910243Z 2023-07-07T19:59:25.1910425Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1910692Z - self: 2023-07-07T19:59:25.1910905Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1911006Z - aten_name: 2023-07-07T19:59:25.1911197Z - function_overloads: 2023-07-07T19:59:25.1911317Z - onnx_args: 2023-07-07T19:59:25.1911433Z - onnx_kwargs: 2023-07-07T19:59:25.1911738Z - diagnostic_context: 2023-07-07T19:59:25.1911906Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1912189Z [2023-07-07 19:56:57,721] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1912392Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1912411Z 2023-07-07T19:59:25.1912594Z [2023-07-07 19:56:57,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1912796Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1912801Z 2023-07-07T19:59:25.1912983Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1913255Z - self: 2023-07-07T19:59:25.1913472Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1913586Z - aten_name: 2023-07-07T19:59:25.1913718Z - function_overloads: 2023-07-07T19:59:25.1913833Z - onnx_args: 2023-07-07T19:59:25.1913940Z - onnx_kwargs: 2023-07-07T19:59:25.1914243Z - diagnostic_context: 2023-07-07T19:59:25.1914411Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1914787Z [2023-07-07 19:56:57,774] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1914938Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1914944Z 2023-07-07T19:59:25.1915149Z [2023-07-07 19:56:57,775] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1915390Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1915399Z 2023-07-07T19:59:25.1915674Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1916084Z - self: 2023-07-07T19:59:25.1916406Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1916579Z - aten_name: 2023-07-07T19:59:25.1916781Z - function_overloads: 2023-07-07T19:59:25.1916958Z - onnx_args: 2023-07-07T19:59:25.1917139Z - onnx_kwargs: 2023-07-07T19:59:25.1917603Z - diagnostic_context: 2023-07-07T19:59:25.1917864Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1918290Z [2023-07-07 19:56:57,826] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1918513Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1918522Z 2023-07-07T19:59:25.1918823Z [2023-07-07 19:56:57,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1919135Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1919143Z 2023-07-07T19:59:25.1919423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1919827Z - self: 2023-07-07T19:59:25.1920155Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1920330Z - aten_name: 2023-07-07T19:59:25.1920534Z - function_overloads: 2023-07-07T19:59:25.1920776Z - onnx_args: 2023-07-07T19:59:25.1920953Z - onnx_kwargs: 2023-07-07T19:59:25.1921410Z - diagnostic_context: 2023-07-07T19:59:25.1921666Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1922095Z [2023-07-07 19:56:57,881] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1922381Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1922390Z 2023-07-07T19:59:25.1922689Z [2023-07-07 19:56:57,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1922994Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1923003Z 2023-07-07T19:59:25.1923263Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1923683Z - self: 2023-07-07T19:59:25.1924020Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1924193Z - aten_name: 2023-07-07T19:59:25.1924525Z - function_overloads: 2023-07-07T19:59:25.1924714Z - onnx_args: 2023-07-07T19:59:25.1924901Z - onnx_kwargs: 2023-07-07T19:59:25.1925362Z - diagnostic_context: 2023-07-07T19:59:25.1925603Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1926033Z [2023-07-07 19:56:57,941] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1926258Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1926266Z 2023-07-07T19:59:25.1926568Z [2023-07-07 19:56:57,941] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1926880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1926888Z 2023-07-07T19:59:25.1927168Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1927579Z - self: 2023-07-07T19:59:25.1927915Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1928090Z - aten_name: 2023-07-07T19:59:25.1928275Z - function_overloads: 2023-07-07T19:59:25.1928454Z - onnx_args: 2023-07-07T19:59:25.1928634Z - onnx_kwargs: 2023-07-07T19:59:25.1929095Z - diagnostic_context: 2023-07-07T19:59:25.1929355Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1929797Z [2023-07-07 19:56:57,993] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1930021Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1930029Z 2023-07-07T19:59:25.1930324Z [2023-07-07 19:56:57,993] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1930611Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1930624Z 2023-07-07T19:59:25.1930898Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1931303Z - self: 2023-07-07T19:59:25.1931633Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1931802Z - aten_name: 2023-07-07T19:59:25.1932002Z - function_overloads: 2023-07-07T19:59:25.1932288Z - onnx_args: 2023-07-07T19:59:25.1932469Z - onnx_kwargs: 2023-07-07T19:59:25.1932915Z - diagnostic_context: 2023-07-07T19:59:25.1933171Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1933608Z [2023-07-07 19:56:58,045] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1933912Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1933921Z 2023-07-07T19:59:25.1934222Z [2023-07-07 19:56:58,045] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1934527Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1934536Z 2023-07-07T19:59:25.1934808Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1935221Z - self: 2023-07-07T19:59:25.1935542Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1935700Z - aten_name: 2023-07-07T19:59:25.1935899Z - function_overloads: 2023-07-07T19:59:25.1936075Z - onnx_args: 2023-07-07T19:59:25.1936256Z - onnx_kwargs: 2023-07-07T19:59:25.1936727Z - diagnostic_context: 2023-07-07T19:59:25.1936982Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1937433Z [2023-07-07 19:56:58,110] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1937608Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1937630Z 2023-07-07T19:59:25.1937817Z [2023-07-07 19:56:58,110] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1938026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1938032Z 2023-07-07T19:59:25.1938215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1938486Z - self: 2023-07-07T19:59:25.1938710Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1938826Z - aten_name: 2023-07-07T19:59:25.1938960Z - function_overloads: 2023-07-07T19:59:25.1939078Z - onnx_args: 2023-07-07T19:59:25.1939182Z - onnx_kwargs: 2023-07-07T19:59:25.1939486Z - diagnostic_context: 2023-07-07T19:59:25.1939653Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1939938Z [2023-07-07 19:56:58,178] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1940085Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1940091Z 2023-07-07T19:59:25.1940288Z [2023-07-07 19:56:58,178] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1940490Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1940501Z 2023-07-07T19:59:25.1940684Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1940941Z - self: 2023-07-07T19:59:25.1941155Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1941267Z - aten_name: 2023-07-07T19:59:25.1941400Z - function_overloads: 2023-07-07T19:59:25.1941514Z - onnx_args: 2023-07-07T19:59:25.1941707Z - onnx_kwargs: 2023-07-07T19:59:25.1942015Z - diagnostic_context: 2023-07-07T19:59:25.1942181Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1942450Z [2023-07-07 19:56:58,230] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1942654Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1942659Z 2023-07-07T19:59:25.1942859Z [2023-07-07 19:56:58,230] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1943063Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1943069Z 2023-07-07T19:59:25.1943252Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1943527Z - self: 2023-07-07T19:59:25.1943745Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1943863Z - aten_name: 2023-07-07T19:59:25.1943995Z - function_overloads: 2023-07-07T19:59:25.1944097Z - onnx_args: 2023-07-07T19:59:25.1944213Z - onnx_kwargs: 2023-07-07T19:59:25.1944522Z - diagnostic_context: 2023-07-07T19:59:25.1944689Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1944969Z [2023-07-07 19:56:58,283] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1945118Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1945124Z 2023-07-07T19:59:25.1945324Z [2023-07-07 19:56:58,283] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1945533Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1945539Z 2023-07-07T19:59:25.1945710Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1945981Z - self: 2023-07-07T19:59:25.1946205Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1946321Z - aten_name: 2023-07-07T19:59:25.1946453Z - function_overloads: 2023-07-07T19:59:25.1946566Z - onnx_args: 2023-07-07T19:59:25.1946683Z - onnx_kwargs: 2023-07-07T19:59:25.1946987Z - diagnostic_context: 2023-07-07T19:59:25.1947142Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1947430Z [2023-07-07 19:56:58,339] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1947580Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1947586Z 2023-07-07T19:59:25.1947781Z [2023-07-07 19:56:58,339] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1947984Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1947995Z 2023-07-07T19:59:25.1948178Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1948447Z - self: 2023-07-07T19:59:25.1948662Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1948762Z - aten_name: 2023-07-07T19:59:25.1948894Z - function_overloads: 2023-07-07T19:59:25.1949007Z - onnx_args: 2023-07-07T19:59:25.1949124Z - onnx_kwargs: 2023-07-07T19:59:25.1949503Z - diagnostic_context: 2023-07-07T19:59:25.1949676Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1949958Z [2023-07-07 19:56:58,400] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1950159Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1950165Z 2023-07-07T19:59:25.1950348Z [2023-07-07 19:56:58,400] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1950550Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1950556Z 2023-07-07T19:59:25.1950738Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1951007Z - self: 2023-07-07T19:59:25.1951225Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1951339Z - aten_name: 2023-07-07T19:59:25.1951470Z - function_overloads: 2023-07-07T19:59:25.1951586Z - onnx_args: 2023-07-07T19:59:25.1951689Z - onnx_kwargs: 2023-07-07T19:59:25.1951995Z - diagnostic_context: 2023-07-07T19:59:25.1952171Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1952456Z [2023-07-07 19:56:58,460] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1952607Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1952613Z 2023-07-07T19:59:25.1952807Z [2023-07-07 19:56:58,460] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1953013Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1953019Z 2023-07-07T19:59:25.1953199Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1953465Z - self: 2023-07-07T19:59:25.1953667Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1953782Z - aten_name: 2023-07-07T19:59:25.1953913Z - function_overloads: 2023-07-07T19:59:25.1954028Z - onnx_args: 2023-07-07T19:59:25.1954145Z - onnx_kwargs: 2023-07-07T19:59:25.1954531Z - diagnostic_context: 2023-07-07T19:59:25.1954705Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1954992Z [2023-07-07 19:56:58,518] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1955130Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1955135Z 2023-07-07T19:59:25.1955332Z [2023-07-07 19:56:58,518] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1955537Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1955548Z 2023-07-07T19:59:25.1955732Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1956002Z - self: 2023-07-07T19:59:25.1956218Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1956335Z - aten_name: 2023-07-07T19:59:25.1956468Z - function_overloads: 2023-07-07T19:59:25.1956570Z - onnx_args: 2023-07-07T19:59:25.1956687Z - onnx_kwargs: 2023-07-07T19:59:25.1957060Z - diagnostic_context: 2023-07-07T19:59:25.1957233Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1957515Z [2023-07-07 19:56:58,571] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1957663Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1957755Z 2023-07-07T19:59:25.1957953Z [2023-07-07 19:56:58,571] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1958156Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1958162Z 2023-07-07T19:59:25.1958346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1958600Z - self: 2023-07-07T19:59:25.1958821Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1958936Z - aten_name: 2023-07-07T19:59:25.1959070Z - function_overloads: 2023-07-07T19:59:25.1959188Z - onnx_args: 2023-07-07T19:59:25.1959305Z - onnx_kwargs: 2023-07-07T19:59:25.1959609Z - diagnostic_context: 2023-07-07T19:59:25.1959768Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1960050Z [2023-07-07 19:56:58,627] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1960232Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1960241Z 2023-07-07T19:59:25.1960539Z [2023-07-07 19:56:58,627] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1960849Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1960858Z 2023-07-07T19:59:25.1961133Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1961540Z - self: 2023-07-07T19:59:25.1961868Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1962045Z - aten_name: 2023-07-07T19:59:25.1962231Z - function_overloads: 2023-07-07T19:59:25.1962406Z - onnx_args: 2023-07-07T19:59:25.1962583Z - onnx_kwargs: 2023-07-07T19:59:25.1963046Z - diagnostic_context: 2023-07-07T19:59:25.1963301Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1963740Z [2023-07-07 19:56:58,677] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1963964Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1963972Z 2023-07-07T19:59:25.1964266Z [2023-07-07 19:56:58,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1964672Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1964697Z 2023-07-07T19:59:25.1964968Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1965376Z - self: 2023-07-07T19:59:25.1965712Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1965885Z - aten_name: 2023-07-07T19:59:25.1966088Z - function_overloads: 2023-07-07T19:59:25.1966266Z - onnx_args: 2023-07-07T19:59:25.1966446Z - onnx_kwargs: 2023-07-07T19:59:25.1967006Z - diagnostic_context: 2023-07-07T19:59:25.1967264Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1967703Z [2023-07-07 19:56:58,729] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1967924Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1968018Z 2023-07-07T19:59:25.1968321Z [2023-07-07 19:56:58,729] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1968631Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1968639Z 2023-07-07T19:59:25.1968916Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1969283Z - self: 2023-07-07T19:59:25.1969637Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1969802Z - aten_name: 2023-07-07T19:59:25.1969942Z - function_overloads: 2023-07-07T19:59:25.1970061Z - onnx_args: 2023-07-07T19:59:25.1970179Z - onnx_kwargs: 2023-07-07T19:59:25.1970483Z - diagnostic_context: 2023-07-07T19:59:25.1970659Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1970949Z [2023-07-07 19:56:58,784] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1971100Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1971107Z 2023-07-07T19:59:25.1971289Z [2023-07-07 19:56:58,784] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1971491Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1971501Z 2023-07-07T19:59:25.1971684Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1971955Z - self: 2023-07-07T19:59:25.1972169Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1972286Z - aten_name: 2023-07-07T19:59:25.1972417Z - function_overloads: 2023-07-07T19:59:25.1972531Z - onnx_args: 2023-07-07T19:59:25.1972633Z - onnx_kwargs: 2023-07-07T19:59:25.1972936Z - diagnostic_context: 2023-07-07T19:59:25.1973106Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1973388Z [2023-07-07 19:56:58,844] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1973540Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1973546Z 2023-07-07T19:59:25.1973741Z [2023-07-07 19:56:58,844] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1973943Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1973948Z 2023-07-07T19:59:25.1974131Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1974404Z - self: 2023-07-07T19:59:25.1974606Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1974718Z - aten_name: 2023-07-07T19:59:25.1974849Z - function_overloads: 2023-07-07T19:59:25.1974963Z - onnx_args: 2023-07-07T19:59:25.1975079Z - onnx_kwargs: 2023-07-07T19:59:25.1975452Z - diagnostic_context: 2023-07-07T19:59:25.1975622Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1975894Z [2023-07-07 19:56:58,895] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1976042Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1976114Z 2023-07-07T19:59:25.1976312Z [2023-07-07 19:56:58,896] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1976516Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1976522Z 2023-07-07T19:59:25.1976707Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1976976Z - self: 2023-07-07T19:59:25.1977196Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1977314Z - aten_name: 2023-07-07T19:59:25.1977445Z - function_overloads: 2023-07-07T19:59:25.1977548Z - onnx_args: 2023-07-07T19:59:25.1977665Z - onnx_kwargs: 2023-07-07T19:59:25.1977966Z - diagnostic_context: 2023-07-07T19:59:25.1978137Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1978420Z [2023-07-07 19:56:58,947] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1978567Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1978573Z 2023-07-07T19:59:25.1978769Z [2023-07-07 19:56:58,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1978973Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1978979Z 2023-07-07T19:59:25.1979170Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1979427Z - self: 2023-07-07T19:59:25.1979642Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1979758Z - aten_name: 2023-07-07T19:59:25.1979896Z - function_overloads: 2023-07-07T19:59:25.1980013Z - onnx_args: 2023-07-07T19:59:25.1980129Z - onnx_kwargs: 2023-07-07T19:59:25.1980432Z - diagnostic_context: 2023-07-07T19:59:25.1980587Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1980866Z [2023-07-07 19:56:59,003] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1981014Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1981023Z 2023-07-07T19:59:25.1981217Z [2023-07-07 19:56:59,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1981418Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1981424Z 2023-07-07T19:59:25.1981605Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1981877Z - self: 2023-07-07T19:59:25.1982092Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1982203Z - aten_name: 2023-07-07T19:59:25.1982321Z - function_overloads: 2023-07-07T19:59:25.1982435Z - onnx_args: 2023-07-07T19:59:25.1982551Z - onnx_kwargs: 2023-07-07T19:59:25.1982853Z - diagnostic_context: 2023-07-07T19:59:25.1983074Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1983357Z [2023-07-07 19:56:59,067] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1983506Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1983513Z 2023-07-07T19:59:25.1983764Z [2023-07-07 19:56:59,067] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1983954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1983975Z 2023-07-07T19:59:25.1984145Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1984410Z - self: 2023-07-07T19:59:25.1984625Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1984742Z - aten_name: 2023-07-07T19:59:25.1984873Z - function_overloads: 2023-07-07T19:59:25.1984986Z - onnx_args: 2023-07-07T19:59:25.1985104Z - onnx_kwargs: 2023-07-07T19:59:25.1985395Z - diagnostic_context: 2023-07-07T19:59:25.1985561Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1985846Z [2023-07-07 19:56:59,120] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1985992Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1985998Z 2023-07-07T19:59:25.1986192Z [2023-07-07 19:56:59,120] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1986392Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1986398Z 2023-07-07T19:59:25.1986584Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1986848Z - self: 2023-07-07T19:59:25.1987062Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1987162Z - aten_name: 2023-07-07T19:59:25.1987297Z - function_overloads: 2023-07-07T19:59:25.1987412Z - onnx_args: 2023-07-07T19:59:25.1987534Z - onnx_kwargs: 2023-07-07T19:59:25.1987836Z - diagnostic_context: 2023-07-07T19:59:25.1988001Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1988282Z [2023-07-07 19:56:59,173] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1988417Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1988435Z 2023-07-07T19:59:25.1988664Z [2023-07-07 19:56:59,173] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1988886Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1988891Z 2023-07-07T19:59:25.1989076Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1989350Z - self: 2023-07-07T19:59:25.1989564Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1989677Z - aten_name: 2023-07-07T19:59:25.1989809Z - function_overloads: 2023-07-07T19:59:25.1989923Z - onnx_args: 2023-07-07T19:59:25.1990028Z - onnx_kwargs: 2023-07-07T19:59:25.1990331Z - diagnostic_context: 2023-07-07T19:59:25.1990563Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1990849Z [2023-07-07 19:56:59,228] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1990998Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1991004Z 2023-07-07T19:59:25.1991197Z [2023-07-07 19:56:59,229] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1991454Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1991460Z 2023-07-07T19:59:25.1991644Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1991910Z - self: 2023-07-07T19:59:25.1992111Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1992227Z - aten_name: 2023-07-07T19:59:25.1992366Z - function_overloads: 2023-07-07T19:59:25.1992483Z - onnx_args: 2023-07-07T19:59:25.1992602Z - onnx_kwargs: 2023-07-07T19:59:25.1992908Z - diagnostic_context: 2023-07-07T19:59:25.1993078Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1993352Z [2023-07-07 19:56:59,288] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1993501Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1993506Z 2023-07-07T19:59:25.1993702Z [2023-07-07 19:56:59,288] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1993903Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1993908Z 2023-07-07T19:59:25.1994094Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1994363Z - self: 2023-07-07T19:59:25.1994637Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1994757Z - aten_name: 2023-07-07T19:59:25.1994891Z - function_overloads: 2023-07-07T19:59:25.1994998Z - onnx_args: 2023-07-07T19:59:25.1995115Z - onnx_kwargs: 2023-07-07T19:59:25.1995419Z - diagnostic_context: 2023-07-07T19:59:25.1995588Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1995872Z [2023-07-07 19:56:59,339] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1996022Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1996028Z 2023-07-07T19:59:25.1996230Z [2023-07-07 19:56:59,340] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1996434Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1996440Z 2023-07-07T19:59:25.1996608Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1996881Z - self: 2023-07-07T19:59:25.1997097Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1997211Z - aten_name: 2023-07-07T19:59:25.1997343Z - function_overloads: 2023-07-07T19:59:25.1997457Z - onnx_args: 2023-07-07T19:59:25.1997572Z - onnx_kwargs: 2023-07-07T19:59:25.1997873Z - diagnostic_context: 2023-07-07T19:59:25.1998094Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.1998380Z [2023-07-07 19:56:59,400] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.1998527Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.1998534Z 2023-07-07T19:59:25.1998728Z [2023-07-07 19:56:59,400] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.1998983Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.1998990Z 2023-07-07T19:59:25.1999171Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.1999438Z - self: 2023-07-07T19:59:25.1999655Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.1999768Z - aten_name: 2023-07-07T19:59:25.1999892Z - function_overloads: 2023-07-07T19:59:25.2000008Z - onnx_args: 2023-07-07T19:59:25.2000125Z - onnx_kwargs: 2023-07-07T19:59:25.2000428Z - diagnostic_context: 2023-07-07T19:59:25.2000595Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2000884Z [2023-07-07 19:56:59,477] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2001035Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2001041Z 2023-07-07T19:59:25.2001239Z [2023-07-07 19:56:59,478] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2001427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2001432Z 2023-07-07T19:59:25.2001622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2001888Z - self: 2023-07-07T19:59:25.2002102Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2002214Z - aten_name: 2023-07-07T19:59:25.2002346Z - function_overloads: 2023-07-07T19:59:25.2002465Z - onnx_args: 2023-07-07T19:59:25.2002580Z - onnx_kwargs: 2023-07-07T19:59:25.2002871Z - diagnostic_context: 2023-07-07T19:59:25.2003037Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2003319Z [2023-07-07 19:56:59,566] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2003464Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2003470Z 2023-07-07T19:59:25.2003670Z [2023-07-07 19:56:59,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2003872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2003878Z 2023-07-07T19:59:25.2004059Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2004328Z - self: 2023-07-07T19:59:25.2004711Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2004818Z - aten_name: 2023-07-07T19:59:25.2004950Z - function_overloads: 2023-07-07T19:59:25.2005066Z - onnx_args: 2023-07-07T19:59:25.2005186Z - onnx_kwargs: 2023-07-07T19:59:25.2005491Z - diagnostic_context: 2023-07-07T19:59:25.2005662Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2006058Z [2023-07-07 19:56:59,643] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2006195Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2006217Z 2023-07-07T19:59:25.2006402Z [2023-07-07 19:56:59,643] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2006670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2006676Z 2023-07-07T19:59:25.2006859Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2007128Z - self: 2023-07-07T19:59:25.2007341Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2007455Z - aten_name: 2023-07-07T19:59:25.2007588Z - function_overloads: 2023-07-07T19:59:25.2007706Z - onnx_args: 2023-07-07T19:59:25.2007812Z - onnx_kwargs: 2023-07-07T19:59:25.2008117Z - diagnostic_context: 2023-07-07T19:59:25.2008284Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2008566Z [2023-07-07 19:56:59,698] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2008717Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2008722Z 2023-07-07T19:59:25.2008920Z [2023-07-07 19:56:59,699] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2009128Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2009134Z 2023-07-07T19:59:25.2009319Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2009580Z - self: 2023-07-07T19:59:25.2009797Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2009910Z - aten_name: 2023-07-07T19:59:25.2010043Z - function_overloads: 2023-07-07T19:59:25.2010157Z - onnx_args: 2023-07-07T19:59:25.2010278Z - onnx_kwargs: 2023-07-07T19:59:25.2010579Z - diagnostic_context: 2023-07-07T19:59:25.2010746Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2011015Z [2023-07-07 19:56:59,760] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2011163Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2011169Z 2023-07-07T19:59:25.2011368Z [2023-07-07 19:56:59,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2011569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2011575Z 2023-07-07T19:59:25.2011758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2012023Z - self: 2023-07-07T19:59:25.2012243Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2012355Z - aten_name: 2023-07-07T19:59:25.2012486Z - function_overloads: 2023-07-07T19:59:25.2012588Z - onnx_args: 2023-07-07T19:59:25.2012704Z - onnx_kwargs: 2023-07-07T19:59:25.2013005Z - diagnostic_context: 2023-07-07T19:59:25.2013168Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2013510Z [2023-07-07 19:56:59,858] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2013661Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2013667Z 2023-07-07T19:59:25.2013863Z [2023-07-07 19:56:59,859] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2014068Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2014127Z 2023-07-07T19:59:25.2014310Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2014577Z - self: 2023-07-07T19:59:25.2014791Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2014903Z - aten_name: 2023-07-07T19:59:25.2015022Z - function_overloads: 2023-07-07T19:59:25.2015141Z - onnx_args: 2023-07-07T19:59:25.2015258Z - onnx_kwargs: 2023-07-07T19:59:25.2015560Z - diagnostic_context: 2023-07-07T19:59:25.2015727Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2016008Z [2023-07-07 19:56:59,956] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2016159Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2016165Z 2023-07-07T19:59:25.2016359Z [2023-07-07 19:56:59,957] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2016547Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2016565Z 2023-07-07T19:59:25.2016734Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2017004Z - self: 2023-07-07T19:59:25.2017219Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2017331Z - aten_name: 2023-07-07T19:59:25.2017463Z - function_overloads: 2023-07-07T19:59:25.2017577Z - onnx_args: 2023-07-07T19:59:25.2017698Z - onnx_kwargs: 2023-07-07T19:59:25.2017989Z - diagnostic_context: 2023-07-07T19:59:25.2018155Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2018235Z PASSED [3.0578s] [ 43%] 2023-07-07T19:59:25.2018768Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_float16 [2023-07-07 19:57:00,133] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2018920Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2018926Z 2023-07-07T19:59:25.2019121Z [2023-07-07 19:57:00,134] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2019320Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2019326Z 2023-07-07T19:59:25.2019507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2019781Z - self: 2023-07-07T19:59:25.2019993Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2020092Z - aten_name: 2023-07-07T19:59:25.2020223Z - function_overloads: 2023-07-07T19:59:25.2020339Z - onnx_args: 2023-07-07T19:59:25.2020456Z - onnx_kwargs: 2023-07-07T19:59:25.2020846Z - diagnostic_context: 2023-07-07T19:59:25.2021016Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2021298Z [2023-07-07 19:57:00,193] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2021433Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2021508Z 2023-07-07T19:59:25.2021693Z [2023-07-07 19:57:00,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2021896Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2021902Z 2023-07-07T19:59:25.2022085Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2022352Z - self: 2023-07-07T19:59:25.2022567Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2022684Z - aten_name: 2023-07-07T19:59:25.2022818Z - function_overloads: 2023-07-07T19:59:25.2022933Z - onnx_args: 2023-07-07T19:59:25.2023037Z - onnx_kwargs: 2023-07-07T19:59:25.2023340Z - diagnostic_context: 2023-07-07T19:59:25.2023512Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2023793Z [2023-07-07 19:57:00,273] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2023941Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2023946Z 2023-07-07T19:59:25.2024141Z [2023-07-07 19:57:00,273] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2024340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2024345Z 2023-07-07T19:59:25.2024531Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2024784Z - self: 2023-07-07T19:59:25.2024999Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2025110Z - aten_name: 2023-07-07T19:59:25.2025246Z - function_overloads: 2023-07-07T19:59:25.2025362Z - onnx_args: 2023-07-07T19:59:25.2025477Z - onnx_kwargs: 2023-07-07T19:59:25.2025781Z - diagnostic_context: 2023-07-07T19:59:25.2025947Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2026216Z [2023-07-07 19:57:00,353] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2026364Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2026373Z 2023-07-07T19:59:25.2026569Z [2023-07-07 19:57:00,353] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2026771Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2026777Z 2023-07-07T19:59:25.2026960Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2027231Z - self: 2023-07-07T19:59:25.2027444Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2027557Z - aten_name: 2023-07-07T19:59:25.2027674Z - function_overloads: 2023-07-07T19:59:25.2027787Z - onnx_args: 2023-07-07T19:59:25.2027902Z - onnx_kwargs: 2023-07-07T19:59:25.2028204Z - diagnostic_context: 2023-07-07T19:59:25.2028429Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2028713Z [2023-07-07 19:57:00,447] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2028861Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2028867Z 2023-07-07T19:59:25.2029124Z [2023-07-07 19:57:00,447] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2029326Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2029332Z 2023-07-07T19:59:25.2029500Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2029766Z - self: 2023-07-07T19:59:25.2029979Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2030095Z - aten_name: 2023-07-07T19:59:25.2030225Z - function_overloads: 2023-07-07T19:59:25.2030338Z - onnx_args: 2023-07-07T19:59:25.2030452Z - onnx_kwargs: 2023-07-07T19:59:25.2030741Z - diagnostic_context: 2023-07-07T19:59:25.2030906Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2031190Z [2023-07-07 19:57:00,542] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2031335Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2031341Z 2023-07-07T19:59:25.2031537Z [2023-07-07 19:57:00,543] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2031738Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2031743Z 2023-07-07T19:59:25.2031930Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2032196Z - self: 2023-07-07T19:59:25.2032408Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2032509Z - aten_name: 2023-07-07T19:59:25.2032641Z - function_overloads: 2023-07-07T19:59:25.2032759Z - onnx_args: 2023-07-07T19:59:25.2032874Z - onnx_kwargs: 2023-07-07T19:59:25.2033173Z - diagnostic_context: 2023-07-07T19:59:25.2033341Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2033622Z [2023-07-07 19:57:00,622] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2033768Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2033775Z 2023-07-07T19:59:25.2033962Z [2023-07-07 19:57:00,622] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2034164Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2034170Z 2023-07-07T19:59:25.2034352Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2034695Z - self: 2023-07-07T19:59:25.2034912Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2035026Z - aten_name: 2023-07-07T19:59:25.2035157Z - function_overloads: 2023-07-07T19:59:25.2035272Z - onnx_args: 2023-07-07T19:59:25.2035375Z - onnx_kwargs: 2023-07-07T19:59:25.2035679Z - diagnostic_context: 2023-07-07T19:59:25.2035915Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2036199Z [2023-07-07 19:57:00,696] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2036346Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2036352Z 2023-07-07T19:59:25.2036547Z [2023-07-07 19:57:00,696] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2036805Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2036811Z 2023-07-07T19:59:25.2036993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2037260Z - self: 2023-07-07T19:59:25.2037462Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2037574Z - aten_name: 2023-07-07T19:59:25.2037709Z - function_overloads: 2023-07-07T19:59:25.2037823Z - onnx_args: 2023-07-07T19:59:25.2037940Z - onnx_kwargs: 2023-07-07T19:59:25.2038244Z - diagnostic_context: 2023-07-07T19:59:25.2038409Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2038696Z [2023-07-07 19:57:00,774] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2038830Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2038836Z 2023-07-07T19:59:25.2039032Z [2023-07-07 19:57:00,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2039232Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2039238Z 2023-07-07T19:59:25.2039422Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2039686Z - self: 2023-07-07T19:59:25.2039898Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2040010Z - aten_name: 2023-07-07T19:59:25.2040140Z - function_overloads: 2023-07-07T19:59:25.2040246Z - onnx_args: 2023-07-07T19:59:25.2040363Z - onnx_kwargs: 2023-07-07T19:59:25.2040665Z - diagnostic_context: 2023-07-07T19:59:25.2040833Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2041113Z [2023-07-07 19:57:00,827] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2041260Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2041266Z 2023-07-07T19:59:25.2041464Z [2023-07-07 19:57:00,827] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2041666Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2041672Z 2023-07-07T19:59:25.2041854Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2042112Z - self: 2023-07-07T19:59:25.2042325Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2042438Z - aten_name: 2023-07-07T19:59:25.2042569Z - function_overloads: 2023-07-07T19:59:25.2042683Z - onnx_args: 2023-07-07T19:59:25.2042800Z - onnx_kwargs: 2023-07-07T19:59:25.2043101Z - diagnostic_context: 2023-07-07T19:59:25.2043308Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2043594Z [2023-07-07 19:57:00,913] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2043741Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2043747Z 2023-07-07T19:59:25.2043940Z [2023-07-07 19:57:00,913] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2044198Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2044203Z 2023-07-07T19:59:25.2044536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2044831Z - self: 2023-07-07T19:59:25.2045048Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2045162Z - aten_name: 2023-07-07T19:59:25.2045286Z - function_overloads: 2023-07-07T19:59:25.2045401Z - onnx_args: 2023-07-07T19:59:25.2045519Z - onnx_kwargs: 2023-07-07T19:59:25.2045822Z - diagnostic_context: 2023-07-07T19:59:25.2045990Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2046273Z [2023-07-07 19:57:01,011] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2046426Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2046432Z 2023-07-07T19:59:25.2046629Z [2023-07-07 19:57:01,011] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2046820Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2046839Z 2023-07-07T19:59:25.2047010Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2047281Z - self: 2023-07-07T19:59:25.2047497Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2047610Z - aten_name: 2023-07-07T19:59:25.2047741Z - function_overloads: 2023-07-07T19:59:25.2047856Z - onnx_args: 2023-07-07T19:59:25.2047976Z - onnx_kwargs: 2023-07-07T19:59:25.2048268Z - diagnostic_context: 2023-07-07T19:59:25.2048437Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2048718Z [2023-07-07 19:57:01,118] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2048863Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2048869Z 2023-07-07T19:59:25.2049069Z [2023-07-07 19:57:01,118] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2049270Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2049276Z 2023-07-07T19:59:25.2049456Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2049723Z - self: 2023-07-07T19:59:25.2049941Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2050042Z - aten_name: 2023-07-07T19:59:25.2050172Z - function_overloads: 2023-07-07T19:59:25.2050287Z - onnx_args: 2023-07-07T19:59:25.2050403Z - onnx_kwargs: 2023-07-07T19:59:25.2050705Z - diagnostic_context: 2023-07-07T19:59:25.2050873Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2051243Z [2023-07-07 19:57:01,208] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2051394Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2051400Z 2023-07-07T19:59:25.2051583Z [2023-07-07 19:57:01,208] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2051851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2051856Z 2023-07-07T19:59:25.2052039Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2052306Z - self: 2023-07-07T19:59:25.2052518Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2052630Z - aten_name: 2023-07-07T19:59:25.2052761Z - function_overloads: 2023-07-07T19:59:25.2052880Z - onnx_args: 2023-07-07T19:59:25.2052985Z - onnx_kwargs: 2023-07-07T19:59:25.2053286Z - diagnostic_context: 2023-07-07T19:59:25.2053454Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2053735Z [2023-07-07 19:57:01,304] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2053886Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2053892Z 2023-07-07T19:59:25.2054088Z [2023-07-07 19:57:01,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2054288Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2054294Z 2023-07-07T19:59:25.2054476Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2054747Z - self: 2023-07-07T19:59:25.2054949Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2055060Z - aten_name: 2023-07-07T19:59:25.2055190Z - function_overloads: 2023-07-07T19:59:25.2055304Z - onnx_args: 2023-07-07T19:59:25.2055423Z - onnx_kwargs: 2023-07-07T19:59:25.2055725Z - diagnostic_context: 2023-07-07T19:59:25.2055893Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2056161Z [2023-07-07 19:57:01,412] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2056308Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2056314Z 2023-07-07T19:59:25.2056508Z [2023-07-07 19:57:01,412] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2056714Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2056720Z 2023-07-07T19:59:25.2056903Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2057166Z - self: 2023-07-07T19:59:25.2057383Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2057495Z - aten_name: 2023-07-07T19:59:25.2057626Z - function_overloads: 2023-07-07T19:59:25.2057728Z - onnx_args: 2023-07-07T19:59:25.2057844Z - onnx_kwargs: 2023-07-07T19:59:25.2058145Z - diagnostic_context: 2023-07-07T19:59:25.2058311Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2058670Z [2023-07-07 19:57:01,491] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2058817Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2058823Z 2023-07-07T19:59:25.2059018Z [2023-07-07 19:57:01,491] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2059219Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2059278Z 2023-07-07T19:59:25.2059459Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2059712Z - self: 2023-07-07T19:59:25.2059927Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2060040Z - aten_name: 2023-07-07T19:59:25.2060171Z - function_overloads: 2023-07-07T19:59:25.2060314Z - onnx_args: 2023-07-07T19:59:25.2060492Z - onnx_kwargs: 2023-07-07T19:59:25.2060951Z - diagnostic_context: 2023-07-07T19:59:25.2061193Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2061625Z [2023-07-07 19:57:01,600] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2061853Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2061861Z 2023-07-07T19:59:25.2062161Z [2023-07-07 19:57:01,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2062464Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2062472Z 2023-07-07T19:59:25.2062746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2063159Z - self: 2023-07-07T19:59:25.2063486Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2063659Z - aten_name: 2023-07-07T19:59:25.2063849Z - function_overloads: 2023-07-07T19:59:25.2064022Z - onnx_args: 2023-07-07T19:59:25.2064200Z - onnx_kwargs: 2023-07-07T19:59:25.2064664Z - diagnostic_context: 2023-07-07T19:59:25.2064923Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2065357Z [2023-07-07 19:57:01,697] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2065579Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2065587Z 2023-07-07T19:59:25.2065883Z [2023-07-07 19:57:01,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2066175Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2066197Z 2023-07-07T19:59:25.2066456Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2066856Z - self: 2023-07-07T19:59:25.2067192Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2067363Z - aten_name: 2023-07-07T19:59:25.2067561Z - function_overloads: 2023-07-07T19:59:25.2067734Z - onnx_args: 2023-07-07T19:59:25.2067912Z - onnx_kwargs: 2023-07-07T19:59:25.2068356Z - diagnostic_context: 2023-07-07T19:59:25.2068608Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2069114Z [2023-07-07 19:57:01,781] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2069336Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2069344Z 2023-07-07T19:59:25.2069643Z [2023-07-07 19:57:01,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2069947Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2070020Z 2023-07-07T19:59:25.2070297Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2070707Z - self: 2023-07-07T19:59:25.2071032Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2071189Z - aten_name: 2023-07-07T19:59:25.2071389Z - function_overloads: 2023-07-07T19:59:25.2071558Z - onnx_args: 2023-07-07T19:59:25.2071743Z - onnx_kwargs: 2023-07-07T19:59:25.2072203Z - diagnostic_context: 2023-07-07T19:59:25.2072459Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2072892Z [2023-07-07 19:57:01,849] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2073106Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2073128Z 2023-07-07T19:59:25.2073413Z [2023-07-07 19:57:01,850] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2073715Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2073724Z 2023-07-07T19:59:25.2073998Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2074410Z - self: 2023-07-07T19:59:25.2074807Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2074980Z - aten_name: 2023-07-07T19:59:25.2075181Z - function_overloads: 2023-07-07T19:59:25.2075354Z - onnx_args: 2023-07-07T19:59:25.2075520Z - onnx_kwargs: 2023-07-07T19:59:25.2075994Z - diagnostic_context: 2023-07-07T19:59:25.2076249Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2076680Z [2023-07-07 19:57:01,928] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2076902Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2076910Z 2023-07-07T19:59:25.2077210Z [2023-07-07 19:57:01,928] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2077521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2077529Z 2023-07-07T19:59:25.2077806Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2078218Z - self: 2023-07-07T19:59:25.2078537Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2078705Z - aten_name: 2023-07-07T19:59:25.2078906Z - function_overloads: 2023-07-07T19:59:25.2079080Z - onnx_args: 2023-07-07T19:59:25.2079257Z - onnx_kwargs: 2023-07-07T19:59:25.2079715Z - diagnostic_context: 2023-07-07T19:59:25.2079970Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2080495Z [2023-07-07 19:57:02,010] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2080720Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2080728Z 2023-07-07T19:59:25.2081024Z [2023-07-07 19:57:02,010] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2081329Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2081404Z 2023-07-07T19:59:25.2081679Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2082083Z - self: 2023-07-07T19:59:25.2082410Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2082584Z - aten_name: 2023-07-07T19:59:25.2082782Z - function_overloads: 2023-07-07T19:59:25.2082939Z - onnx_args: 2023-07-07T19:59:25.2083119Z - onnx_kwargs: 2023-07-07T19:59:25.2083579Z - diagnostic_context: 2023-07-07T19:59:25.2083834Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2084272Z [2023-07-07 19:57:02,087] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2084626Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2084637Z 2023-07-07T19:59:25.2084940Z [2023-07-07 19:57:02,088] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2085245Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2085253Z 2023-07-07T19:59:25.2085515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2085923Z - self: 2023-07-07T19:59:25.2086311Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2086481Z - aten_name: 2023-07-07T19:59:25.2086681Z - function_overloads: 2023-07-07T19:59:25.2086856Z - onnx_args: 2023-07-07T19:59:25.2087036Z - onnx_kwargs: 2023-07-07T19:59:25.2087495Z - diagnostic_context: 2023-07-07T19:59:25.2087742Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2088173Z [2023-07-07 19:57:02,153] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2088395Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2088402Z 2023-07-07T19:59:25.2088704Z [2023-07-07 19:57:02,154] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2089009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2089017Z 2023-07-07T19:59:25.2089302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2089697Z - self: 2023-07-07T19:59:25.2089916Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2090033Z - aten_name: 2023-07-07T19:59:25.2090152Z - function_overloads: 2023-07-07T19:59:25.2090266Z - onnx_args: 2023-07-07T19:59:25.2090383Z - onnx_kwargs: 2023-07-07T19:59:25.2090687Z - diagnostic_context: 2023-07-07T19:59:25.2090855Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2091288Z [2023-07-07 19:57:02,206] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2091437Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2091444Z 2023-07-07T19:59:25.2091641Z [2023-07-07 19:57:02,207] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2091831Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2091924Z 2023-07-07T19:59:25.2092107Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2092376Z - self: 2023-07-07T19:59:25.2092592Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2092706Z - aten_name: 2023-07-07T19:59:25.2092838Z - function_overloads: 2023-07-07T19:59:25.2092953Z - onnx_args: 2023-07-07T19:59:25.2093069Z - onnx_kwargs: 2023-07-07T19:59:25.2093365Z - diagnostic_context: 2023-07-07T19:59:25.2093534Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2093818Z [2023-07-07 19:57:02,282] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2093967Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2093977Z 2023-07-07T19:59:25.2094173Z [2023-07-07 19:57:02,282] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2094374Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2094379Z 2023-07-07T19:59:25.2094563Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2094832Z - self: 2023-07-07T19:59:25.2095051Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2095152Z - aten_name: 2023-07-07T19:59:25.2095282Z - function_overloads: 2023-07-07T19:59:25.2095397Z - onnx_args: 2023-07-07T19:59:25.2095512Z - onnx_kwargs: 2023-07-07T19:59:25.2095816Z - diagnostic_context: 2023-07-07T19:59:25.2095988Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2096271Z [2023-07-07 19:57:02,356] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2096404Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2096423Z 2023-07-07T19:59:25.2096606Z [2023-07-07 19:57:02,356] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2096810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2096816Z 2023-07-07T19:59:25.2096999Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2097264Z - self: 2023-07-07T19:59:25.2097475Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2097591Z - aten_name: 2023-07-07T19:59:25.2097722Z - function_overloads: 2023-07-07T19:59:25.2097836Z - onnx_args: 2023-07-07T19:59:25.2097939Z - onnx_kwargs: 2023-07-07T19:59:25.2098242Z - diagnostic_context: 2023-07-07T19:59:25.2098409Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2098693Z [2023-07-07 19:57:02,431] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2098897Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2098903Z 2023-07-07T19:59:25.2099100Z [2023-07-07 19:57:02,431] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2099302Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2099358Z 2023-07-07T19:59:25.2099542Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2099796Z - self: 2023-07-07T19:59:25.2100010Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2100122Z - aten_name: 2023-07-07T19:59:25.2100254Z - function_overloads: 2023-07-07T19:59:25.2100368Z - onnx_args: 2023-07-07T19:59:25.2100483Z - onnx_kwargs: 2023-07-07T19:59:25.2100790Z - diagnostic_context: 2023-07-07T19:59:25.2100959Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2101227Z [2023-07-07 19:57:02,510] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2101374Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2101384Z 2023-07-07T19:59:25.2101580Z [2023-07-07 19:57:02,510] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2101780Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2101786Z 2023-07-07T19:59:25.2101969Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2102236Z - self: 2023-07-07T19:59:25.2102454Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2102566Z - aten_name: 2023-07-07T19:59:25.2102685Z - function_overloads: 2023-07-07T19:59:25.2102798Z - onnx_args: 2023-07-07T19:59:25.2102914Z - onnx_kwargs: 2023-07-07T19:59:25.2103217Z - diagnostic_context: 2023-07-07T19:59:25.2103390Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2103671Z [2023-07-07 19:57:02,607] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2103817Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2103823Z 2023-07-07T19:59:25.2104017Z [2023-07-07 19:57:02,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2104216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2104226Z 2023-07-07T19:59:25.2104395Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2104661Z - self: 2023-07-07T19:59:25.2104874Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2104992Z - aten_name: 2023-07-07T19:59:25.2105123Z - function_overloads: 2023-07-07T19:59:25.2105237Z - onnx_args: 2023-07-07T19:59:25.2105352Z - onnx_kwargs: 2023-07-07T19:59:25.2105642Z - diagnostic_context: 2023-07-07T19:59:25.2105809Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2106089Z [2023-07-07 19:57:02,677] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2106289Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2106295Z 2023-07-07T19:59:25.2106492Z [2023-07-07 19:57:02,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2106694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2106700Z 2023-07-07T19:59:25.2106933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2107202Z - self: 2023-07-07T19:59:25.2107413Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2107514Z - aten_name: 2023-07-07T19:59:25.2107645Z - function_overloads: 2023-07-07T19:59:25.2107759Z - onnx_args: 2023-07-07T19:59:25.2107876Z - onnx_kwargs: 2023-07-07T19:59:25.2108183Z - diagnostic_context: 2023-07-07T19:59:25.2108350Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2108631Z [2023-07-07 19:57:02,733] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2108779Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2108788Z 2023-07-07T19:59:25.2108971Z [2023-07-07 19:57:02,733] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2109172Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2109177Z 2023-07-07T19:59:25.2109357Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2109622Z - self: 2023-07-07T19:59:25.2109839Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2109951Z - aten_name: 2023-07-07T19:59:25.2110081Z - function_overloads: 2023-07-07T19:59:25.2110195Z - onnx_args: 2023-07-07T19:59:25.2110298Z - onnx_kwargs: 2023-07-07T19:59:25.2110600Z - diagnostic_context: 2023-07-07T19:59:25.2110772Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2111055Z [2023-07-07 19:57:02,785] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2111202Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2111208Z 2023-07-07T19:59:25.2111403Z [2023-07-07 19:57:02,785] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2111605Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2111611Z 2023-07-07T19:59:25.2111797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2112063Z - self: 2023-07-07T19:59:25.2112264Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2112377Z - aten_name: 2023-07-07T19:59:25.2112513Z - function_overloads: 2023-07-07T19:59:25.2112626Z - onnx_args: 2023-07-07T19:59:25.2112743Z - onnx_kwargs: 2023-07-07T19:59:25.2113043Z - diagnostic_context: 2023-07-07T19:59:25.2113209Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2113490Z [2023-07-07 19:57:02,842] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2113688Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2113694Z 2023-07-07T19:59:25.2113890Z [2023-07-07 19:57:02,842] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2114090Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2114095Z 2023-07-07T19:59:25.2114278Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2114677Z - self: 2023-07-07T19:59:25.2114896Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2115009Z - aten_name: 2023-07-07T19:59:25.2115140Z - function_overloads: 2023-07-07T19:59:25.2115242Z - onnx_args: 2023-07-07T19:59:25.2115360Z - onnx_kwargs: 2023-07-07T19:59:25.2115669Z - diagnostic_context: 2023-07-07T19:59:25.2115837Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2116126Z [2023-07-07 19:57:02,892] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2116273Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2116279Z 2023-07-07T19:59:25.2116481Z [2023-07-07 19:57:02,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2116684Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2116690Z 2023-07-07T19:59:25.2116875Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2117130Z - self: 2023-07-07T19:59:25.2117343Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2117458Z - aten_name: 2023-07-07T19:59:25.2117590Z - function_overloads: 2023-07-07T19:59:25.2117706Z - onnx_args: 2023-07-07T19:59:25.2117823Z - onnx_kwargs: 2023-07-07T19:59:25.2118123Z - diagnostic_context: 2023-07-07T19:59:25.2118279Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2118564Z [2023-07-07 19:57:02,942] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2118709Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2118715Z 2023-07-07T19:59:25.2118908Z [2023-07-07 19:57:02,943] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2119107Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2119113Z 2023-07-07T19:59:25.2119298Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2119563Z - self: 2023-07-07T19:59:25.2119776Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2119889Z - aten_name: 2023-07-07T19:59:25.2120011Z - function_overloads: 2023-07-07T19:59:25.2120125Z - onnx_args: 2023-07-07T19:59:25.2120241Z - onnx_kwargs: 2023-07-07T19:59:25.2120544Z - diagnostic_context: 2023-07-07T19:59:25.2120713Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2120995Z [2023-07-07 19:57:03,179] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2121141Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2121222Z 2023-07-07T19:59:25.2121418Z [2023-07-07 19:57:03,179] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2121608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2121627Z 2023-07-07T19:59:25.2121796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2122122Z - self: 2023-07-07T19:59:25.2122335Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2122447Z - aten_name: 2023-07-07T19:59:25.2122577Z - function_overloads: 2023-07-07T19:59:25.2122691Z - onnx_args: 2023-07-07T19:59:25.2122806Z - onnx_kwargs: 2023-07-07T19:59:25.2123093Z - diagnostic_context: 2023-07-07T19:59:25.2123262Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2123545Z [2023-07-07 19:57:03,236] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2123693Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2123698Z 2023-07-07T19:59:25.2123892Z [2023-07-07 19:57:03,236] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2124097Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2124103Z 2023-07-07T19:59:25.2124283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2124676Z - self: 2023-07-07T19:59:25.2124897Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2125002Z - aten_name: 2023-07-07T19:59:25.2125133Z - function_overloads: 2023-07-07T19:59:25.2125248Z - onnx_args: 2023-07-07T19:59:25.2125364Z - onnx_kwargs: 2023-07-07T19:59:25.2125670Z - diagnostic_context: 2023-07-07T19:59:25.2125836Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2126124Z [2023-07-07 19:57:03,297] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2126270Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2126276Z 2023-07-07T19:59:25.2126459Z [2023-07-07 19:57:03,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2126661Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2126667Z 2023-07-07T19:59:25.2126856Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2127125Z - self: 2023-07-07T19:59:25.2127339Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2127451Z - aten_name: 2023-07-07T19:59:25.2127582Z - function_overloads: 2023-07-07T19:59:25.2127700Z - onnx_args: 2023-07-07T19:59:25.2127802Z - onnx_kwargs: 2023-07-07T19:59:25.2128105Z - diagnostic_context: 2023-07-07T19:59:25.2128270Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2128553Z [2023-07-07 19:57:03,398] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2128700Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2128706Z 2023-07-07T19:59:25.2128984Z [2023-07-07 19:57:03,398] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2129189Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2129195Z 2023-07-07T19:59:25.2129375Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2129711Z - self: 2023-07-07T19:59:25.2129912Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2130025Z - aten_name: 2023-07-07T19:59:25.2130160Z - function_overloads: 2023-07-07T19:59:25.2130274Z - onnx_args: 2023-07-07T19:59:25.2130390Z - onnx_kwargs: 2023-07-07T19:59:25.2130694Z - diagnostic_context: 2023-07-07T19:59:25.2130865Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2131133Z [2023-07-07 19:57:03,493] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2131280Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2131285Z 2023-07-07T19:59:25.2131482Z [2023-07-07 19:57:03,493] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2131689Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2131695Z 2023-07-07T19:59:25.2131879Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2132144Z - self: 2023-07-07T19:59:25.2132357Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2132471Z - aten_name: 2023-07-07T19:59:25.2132607Z - function_overloads: 2023-07-07T19:59:25.2132709Z - onnx_args: 2023-07-07T19:59:25.2132826Z - onnx_kwargs: 2023-07-07T19:59:25.2133127Z - diagnostic_context: 2023-07-07T19:59:25.2133297Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2133586Z [2023-07-07 19:57:03,582] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2133732Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2133738Z 2023-07-07T19:59:25.2133933Z [2023-07-07 19:57:03,582] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2134135Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2134141Z 2023-07-07T19:59:25.2134325Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2134578Z - self: 2023-07-07T19:59:25.2134794Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2134908Z - aten_name: 2023-07-07T19:59:25.2135039Z - function_overloads: 2023-07-07T19:59:25.2135158Z - onnx_args: 2023-07-07T19:59:25.2135275Z - onnx_kwargs: 2023-07-07T19:59:25.2135577Z - diagnostic_context: 2023-07-07T19:59:25.2135732Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2136015Z [2023-07-07 19:57:03,681] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2136162Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2136167Z 2023-07-07T19:59:25.2136423Z [2023-07-07 19:57:03,681] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2136630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2136636Z 2023-07-07T19:59:25.2136818Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2137140Z - self: 2023-07-07T19:59:25.2137352Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2137466Z - aten_name: 2023-07-07T19:59:25.2137585Z - function_overloads: 2023-07-07T19:59:25.2137698Z - onnx_args: 2023-07-07T19:59:25.2137816Z - onnx_kwargs: 2023-07-07T19:59:25.2138120Z - diagnostic_context: 2023-07-07T19:59:25.2138288Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2138575Z [2023-07-07 19:57:03,744] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2138722Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2138727Z 2023-07-07T19:59:25.2138922Z [2023-07-07 19:57:03,744] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2139115Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2139133Z 2023-07-07T19:59:25.2139302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2139567Z - self: 2023-07-07T19:59:25.2139784Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2139900Z - aten_name: 2023-07-07T19:59:25.2140035Z - function_overloads: 2023-07-07T19:59:25.2140149Z - onnx_args: 2023-07-07T19:59:25.2140265Z - onnx_kwargs: 2023-07-07T19:59:25.2140555Z - diagnostic_context: 2023-07-07T19:59:25.2140722Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2141005Z [2023-07-07 19:57:03,804] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2141157Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2141163Z 2023-07-07T19:59:25.2141357Z [2023-07-07 19:57:03,804] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2141560Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2141566Z 2023-07-07T19:59:25.2141747Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2142018Z - self: 2023-07-07T19:59:25.2142232Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2142332Z - aten_name: 2023-07-07T19:59:25.2142464Z - function_overloads: 2023-07-07T19:59:25.2142580Z - onnx_args: 2023-07-07T19:59:25.2142700Z - onnx_kwargs: 2023-07-07T19:59:25.2143003Z - diagnostic_context: 2023-07-07T19:59:25.2143170Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2143450Z [2023-07-07 19:57:03,865] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2143585Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2143603Z 2023-07-07T19:59:25.2143841Z [2023-07-07 19:57:03,865] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2144045Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2144051Z 2023-07-07T19:59:25.2144232Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2144500Z - self: 2023-07-07T19:59:25.2144813Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2144926Z - aten_name: 2023-07-07T19:59:25.2145057Z - function_overloads: 2023-07-07T19:59:25.2145172Z - onnx_args: 2023-07-07T19:59:25.2145275Z - onnx_kwargs: 2023-07-07T19:59:25.2145577Z - diagnostic_context: 2023-07-07T19:59:25.2145745Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2146029Z [2023-07-07 19:57:03,923] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2146178Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2146183Z 2023-07-07T19:59:25.2146379Z [2023-07-07 19:57:03,923] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2146585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2146591Z 2023-07-07T19:59:25.2146774Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2147039Z - self: 2023-07-07T19:59:25.2147239Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2147351Z - aten_name: 2023-07-07T19:59:25.2147487Z - function_overloads: 2023-07-07T19:59:25.2147605Z - onnx_args: 2023-07-07T19:59:25.2147720Z - onnx_kwargs: 2023-07-07T19:59:25.2148021Z - diagnostic_context: 2023-07-07T19:59:25.2148187Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2148254Z PASSED [3.9599s] [ 43%] 2023-07-07T19:59:25.2148794Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_float32 [2023-07-07 19:57:04,062] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2148941Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2148946Z 2023-07-07T19:59:25.2149143Z [2023-07-07 19:57:04,062] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2149344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2149354Z 2023-07-07T19:59:25.2149535Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2149802Z - self: 2023-07-07T19:59:25.2150015Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2150133Z - aten_name: 2023-07-07T19:59:25.2150253Z - function_overloads: 2023-07-07T19:59:25.2150366Z - onnx_args: 2023-07-07T19:59:25.2150482Z - onnx_kwargs: 2023-07-07T19:59:25.2150783Z - diagnostic_context: 2023-07-07T19:59:25.2150948Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2151231Z [2023-07-07 19:57:04,113] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2151436Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2151442Z 2023-07-07T19:59:25.2151647Z [2023-07-07 19:57:04,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2151933Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2151955Z 2023-07-07T19:59:25.2152211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2152684Z - self: 2023-07-07T19:59:25.2153011Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2153182Z - aten_name: 2023-07-07T19:59:25.2153380Z - function_overloads: 2023-07-07T19:59:25.2153556Z - onnx_args: 2023-07-07T19:59:25.2153733Z - onnx_kwargs: 2023-07-07T19:59:25.2154188Z - diagnostic_context: 2023-07-07T19:59:25.2154510Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2154951Z [2023-07-07 19:57:04,173] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2155172Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2155187Z 2023-07-07T19:59:25.2155485Z [2023-07-07 19:57:04,173] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2155792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2155800Z 2023-07-07T19:59:25.2156075Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2156480Z - self: 2023-07-07T19:59:25.2156806Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2156967Z - aten_name: 2023-07-07T19:59:25.2157170Z - function_overloads: 2023-07-07T19:59:25.2157343Z - onnx_args: 2023-07-07T19:59:25.2157520Z - onnx_kwargs: 2023-07-07T19:59:25.2157978Z - diagnostic_context: 2023-07-07T19:59:25.2158237Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2158670Z [2023-07-07 19:57:04,256] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2158893Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2158901Z 2023-07-07T19:59:25.2159184Z [2023-07-07 19:57:04,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2159487Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2159495Z 2023-07-07T19:59:25.2159741Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2160154Z - self: 2023-07-07T19:59:25.2160411Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2160525Z - aten_name: 2023-07-07T19:59:25.2160661Z - function_overloads: 2023-07-07T19:59:25.2160777Z - onnx_args: 2023-07-07T19:59:25.2160882Z - onnx_kwargs: 2023-07-07T19:59:25.2161188Z - diagnostic_context: 2023-07-07T19:59:25.2161355Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2161638Z [2023-07-07 19:57:04,311] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2161784Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2161873Z 2023-07-07T19:59:25.2162071Z [2023-07-07 19:57:04,311] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2162276Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2162282Z 2023-07-07T19:59:25.2162465Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2162793Z - self: 2023-07-07T19:59:25.2162992Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2163107Z - aten_name: 2023-07-07T19:59:25.2163240Z - function_overloads: 2023-07-07T19:59:25.2163353Z - onnx_args: 2023-07-07T19:59:25.2163473Z - onnx_kwargs: 2023-07-07T19:59:25.2163779Z - diagnostic_context: 2023-07-07T19:59:25.2163950Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2164216Z [2023-07-07 19:57:04,367] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2164364Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2164370Z 2023-07-07T19:59:25.2164722Z [2023-07-07 19:57:04,367] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2164925Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2164932Z 2023-07-07T19:59:25.2165112Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2165379Z - self: 2023-07-07T19:59:25.2165596Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2165713Z - aten_name: 2023-07-07T19:59:25.2165845Z - function_overloads: 2023-07-07T19:59:25.2165949Z - onnx_args: 2023-07-07T19:59:25.2166069Z - onnx_kwargs: 2023-07-07T19:59:25.2166373Z - diagnostic_context: 2023-07-07T19:59:25.2166539Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2166824Z [2023-07-07 19:57:04,428] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2166972Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2166978Z 2023-07-07T19:59:25.2167175Z [2023-07-07 19:57:04,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2167377Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2167383Z 2023-07-07T19:59:25.2167572Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2167826Z - self: 2023-07-07T19:59:25.2168040Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2168152Z - aten_name: 2023-07-07T19:59:25.2168287Z - function_overloads: 2023-07-07T19:59:25.2168402Z - onnx_args: 2023-07-07T19:59:25.2168518Z - onnx_kwargs: 2023-07-07T19:59:25.2168821Z - diagnostic_context: 2023-07-07T19:59:25.2168979Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2169264Z [2023-07-07 19:57:04,481] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2169410Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2169416Z 2023-07-07T19:59:25.2169702Z [2023-07-07 19:57:04,481] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2169906Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2169912Z 2023-07-07T19:59:25.2170095Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2170434Z - self: 2023-07-07T19:59:25.2170650Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2170764Z - aten_name: 2023-07-07T19:59:25.2170884Z - function_overloads: 2023-07-07T19:59:25.2170999Z - onnx_args: 2023-07-07T19:59:25.2171115Z - onnx_kwargs: 2023-07-07T19:59:25.2171419Z - diagnostic_context: 2023-07-07T19:59:25.2171591Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2171876Z [2023-07-07 19:57:04,535] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2172024Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2172030Z 2023-07-07T19:59:25.2172226Z [2023-07-07 19:57:04,535] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2172420Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2172425Z 2023-07-07T19:59:25.2172606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2172871Z - self: 2023-07-07T19:59:25.2173085Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2173198Z - aten_name: 2023-07-07T19:59:25.2173333Z - function_overloads: 2023-07-07T19:59:25.2173449Z - onnx_args: 2023-07-07T19:59:25.2173566Z - onnx_kwargs: 2023-07-07T19:59:25.2173855Z - diagnostic_context: 2023-07-07T19:59:25.2174021Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2174310Z [2023-07-07 19:57:04,593] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2174458Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2174464Z 2023-07-07T19:59:25.2174659Z [2023-07-07 19:57:04,593] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2174860Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2174866Z 2023-07-07T19:59:25.2175049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2175314Z - self: 2023-07-07T19:59:25.2175527Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2175628Z - aten_name: 2023-07-07T19:59:25.2175758Z - function_overloads: 2023-07-07T19:59:25.2175878Z - onnx_args: 2023-07-07T19:59:25.2175995Z - onnx_kwargs: 2023-07-07T19:59:25.2176296Z - diagnostic_context: 2023-07-07T19:59:25.2176463Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2176744Z [2023-07-07 19:57:04,661] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2176878Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2176895Z 2023-07-07T19:59:25.2177147Z [2023-07-07 19:57:04,661] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2177351Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2177357Z 2023-07-07T19:59:25.2177538Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2177886Z - self: 2023-07-07T19:59:25.2178099Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2178214Z - aten_name: 2023-07-07T19:59:25.2178347Z - function_overloads: 2023-07-07T19:59:25.2178462Z - onnx_args: 2023-07-07T19:59:25.2178566Z - onnx_kwargs: 2023-07-07T19:59:25.2178867Z - diagnostic_context: 2023-07-07T19:59:25.2179036Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2179318Z [2023-07-07 19:57:04,721] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2179464Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2179470Z 2023-07-07T19:59:25.2179739Z [2023-07-07 19:57:04,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2179946Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2179952Z 2023-07-07T19:59:25.2180133Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2180401Z - self: 2023-07-07T19:59:25.2180603Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2180715Z - aten_name: 2023-07-07T19:59:25.2180851Z - function_overloads: 2023-07-07T19:59:25.2180965Z - onnx_args: 2023-07-07T19:59:25.2181080Z - onnx_kwargs: 2023-07-07T19:59:25.2181384Z - diagnostic_context: 2023-07-07T19:59:25.2181550Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2181824Z [2023-07-07 19:57:04,779] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2181972Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2181977Z 2023-07-07T19:59:25.2182174Z [2023-07-07 19:57:04,779] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2182376Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2182382Z 2023-07-07T19:59:25.2182567Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2182835Z - self: 2023-07-07T19:59:25.2183047Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2183159Z - aten_name: 2023-07-07T19:59:25.2183289Z - function_overloads: 2023-07-07T19:59:25.2183395Z - onnx_args: 2023-07-07T19:59:25.2183511Z - onnx_kwargs: 2023-07-07T19:59:25.2183813Z - diagnostic_context: 2023-07-07T19:59:25.2183978Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2184259Z [2023-07-07 19:57:04,834] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2184405Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2184411Z 2023-07-07T19:59:25.2184668Z [2023-07-07 19:57:04,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2184872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2184878Z 2023-07-07T19:59:25.2185046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2185312Z - self: 2023-07-07T19:59:25.2185582Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2185694Z - aten_name: 2023-07-07T19:59:25.2185825Z - function_overloads: 2023-07-07T19:59:25.2185939Z - onnx_args: 2023-07-07T19:59:25.2186054Z - onnx_kwargs: 2023-07-07T19:59:25.2186354Z - diagnostic_context: 2023-07-07T19:59:25.2186508Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2186794Z [2023-07-07 19:57:04,897] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2186941Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2186946Z 2023-07-07T19:59:25.2187140Z [2023-07-07 19:57:04,897] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2187344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2187350Z 2023-07-07T19:59:25.2187532Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2187799Z - self: 2023-07-07T19:59:25.2188012Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2188125Z - aten_name: 2023-07-07T19:59:25.2188243Z - function_overloads: 2023-07-07T19:59:25.2188362Z - onnx_args: 2023-07-07T19:59:25.2188478Z - onnx_kwargs: 2023-07-07T19:59:25.2188781Z - diagnostic_context: 2023-07-07T19:59:25.2188950Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2189231Z [2023-07-07 19:57:04,952] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2189383Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2189389Z 2023-07-07T19:59:25.2189570Z [2023-07-07 19:57:04,952] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2189771Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2189777Z 2023-07-07T19:59:25.2189960Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2190231Z - self: 2023-07-07T19:59:25.2190448Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2190560Z - aten_name: 2023-07-07T19:59:25.2190692Z - function_overloads: 2023-07-07T19:59:25.2190807Z - onnx_args: 2023-07-07T19:59:25.2190914Z - onnx_kwargs: 2023-07-07T19:59:25.2191216Z - diagnostic_context: 2023-07-07T19:59:25.2191384Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2191667Z [2023-07-07 19:57:05,006] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2191815Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2191821Z 2023-07-07T19:59:25.2192075Z [2023-07-07 19:57:05,006] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2192281Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2192287Z 2023-07-07T19:59:25.2192469Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2192738Z - self: 2023-07-07T19:59:25.2192996Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2193111Z - aten_name: 2023-07-07T19:59:25.2193242Z - function_overloads: 2023-07-07T19:59:25.2193359Z - onnx_args: 2023-07-07T19:59:25.2193475Z - onnx_kwargs: 2023-07-07T19:59:25.2193782Z - diagnostic_context: 2023-07-07T19:59:25.2193949Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2194240Z [2023-07-07 19:57:05,065] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2194376Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2194381Z 2023-07-07T19:59:25.2194652Z [2023-07-07 19:57:05,065] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2194856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2194866Z 2023-07-07T19:59:25.2195049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2195318Z - self: 2023-07-07T19:59:25.2195533Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2195646Z - aten_name: 2023-07-07T19:59:25.2195779Z - function_overloads: 2023-07-07T19:59:25.2195887Z - onnx_args: 2023-07-07T19:59:25.2196006Z - onnx_kwargs: 2023-07-07T19:59:25.2196308Z - diagnostic_context: 2023-07-07T19:59:25.2196479Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2196762Z [2023-07-07 19:57:05,128] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2196914Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2196920Z 2023-07-07T19:59:25.2197117Z [2023-07-07 19:57:05,129] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2197320Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2197326Z 2023-07-07T19:59:25.2197509Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2197769Z - self: 2023-07-07T19:59:25.2197983Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2198095Z - aten_name: 2023-07-07T19:59:25.2198229Z - function_overloads: 2023-07-07T19:59:25.2198345Z - onnx_args: 2023-07-07T19:59:25.2198466Z - onnx_kwargs: 2023-07-07T19:59:25.2198770Z - diagnostic_context: 2023-07-07T19:59:25.2198937Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2199207Z [2023-07-07 19:57:05,184] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2199355Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2199361Z 2023-07-07T19:59:25.2199557Z [2023-07-07 19:57:05,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2199827Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2199833Z 2023-07-07T19:59:25.2200018Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2200286Z - self: 2023-07-07T19:59:25.2200568Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2200681Z - aten_name: 2023-07-07T19:59:25.2200800Z - function_overloads: 2023-07-07T19:59:25.2200915Z - onnx_args: 2023-07-07T19:59:25.2201030Z - onnx_kwargs: 2023-07-07T19:59:25.2201335Z - diagnostic_context: 2023-07-07T19:59:25.2201502Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2201788Z [2023-07-07 19:57:05,239] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2201936Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2201942Z 2023-07-07T19:59:25.2202136Z [2023-07-07 19:57:05,239] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2202326Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2202384Z 2023-07-07T19:59:25.2202554Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2202822Z - self: 2023-07-07T19:59:25.2203034Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2203146Z - aten_name: 2023-07-07T19:59:25.2203278Z - function_overloads: 2023-07-07T19:59:25.2203392Z - onnx_args: 2023-07-07T19:59:25.2203514Z - onnx_kwargs: 2023-07-07T19:59:25.2203804Z - diagnostic_context: 2023-07-07T19:59:25.2203973Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2204255Z [2023-07-07 19:57:05,297] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2204523Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2204530Z 2023-07-07T19:59:25.2204731Z [2023-07-07 19:57:05,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2204931Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2204937Z 2023-07-07T19:59:25.2205121Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2205393Z - self: 2023-07-07T19:59:25.2205609Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2205710Z - aten_name: 2023-07-07T19:59:25.2205841Z - function_overloads: 2023-07-07T19:59:25.2205955Z - onnx_args: 2023-07-07T19:59:25.2206072Z - onnx_kwargs: 2023-07-07T19:59:25.2206379Z - diagnostic_context: 2023-07-07T19:59:25.2206546Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2206827Z [2023-07-07 19:57:05,369] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2206974Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2206980Z 2023-07-07T19:59:25.2207163Z [2023-07-07 19:57:05,370] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2207458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2207464Z 2023-07-07T19:59:25.2207651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2207915Z - self: 2023-07-07T19:59:25.2208205Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2208319Z - aten_name: 2023-07-07T19:59:25.2208452Z - function_overloads: 2023-07-07T19:59:25.2208565Z - onnx_args: 2023-07-07T19:59:25.2208669Z - onnx_kwargs: 2023-07-07T19:59:25.2208973Z - diagnostic_context: 2023-07-07T19:59:25.2209141Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2209429Z [2023-07-07 19:57:05,424] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2209578Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2209583Z 2023-07-07T19:59:25.2209779Z [2023-07-07 19:57:05,425] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2209981Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2209992Z 2023-07-07T19:59:25.2210173Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2210441Z - self: 2023-07-07T19:59:25.2210643Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2210757Z - aten_name: 2023-07-07T19:59:25.2210888Z - function_overloads: 2023-07-07T19:59:25.2211004Z - onnx_args: 2023-07-07T19:59:25.2211125Z - onnx_kwargs: 2023-07-07T19:59:25.2211429Z - diagnostic_context: 2023-07-07T19:59:25.2211597Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2211880Z [2023-07-07 19:57:05,476] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2212019Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2212024Z 2023-07-07T19:59:25.2212221Z [2023-07-07 19:57:05,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2212421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2212427Z 2023-07-07T19:59:25.2212609Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2212879Z - self: 2023-07-07T19:59:25.2213093Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2213207Z - aten_name: 2023-07-07T19:59:25.2213337Z - function_overloads: 2023-07-07T19:59:25.2213439Z - onnx_args: 2023-07-07T19:59:25.2213555Z - onnx_kwargs: 2023-07-07T19:59:25.2213863Z - diagnostic_context: 2023-07-07T19:59:25.2214030Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2214311Z [2023-07-07 19:57:05,527] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2214457Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2214463Z 2023-07-07T19:59:25.2214659Z [2023-07-07 19:57:05,527] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2214919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2214925Z 2023-07-07T19:59:25.2215107Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2215361Z - self: 2023-07-07T19:59:25.2215575Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2215742Z - aten_name: 2023-07-07T19:59:25.2215873Z - function_overloads: 2023-07-07T19:59:25.2215986Z - onnx_args: 2023-07-07T19:59:25.2216101Z - onnx_kwargs: 2023-07-07T19:59:25.2216403Z - diagnostic_context: 2023-07-07T19:59:25.2216558Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2216843Z [2023-07-07 19:57:05,581] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2216990Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2216995Z 2023-07-07T19:59:25.2217189Z [2023-07-07 19:57:05,581] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2217389Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2217399Z 2023-07-07T19:59:25.2217580Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2217847Z - self: 2023-07-07T19:59:25.2218058Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2218172Z - aten_name: 2023-07-07T19:59:25.2218292Z - function_overloads: 2023-07-07T19:59:25.2218406Z - onnx_args: 2023-07-07T19:59:25.2218522Z - onnx_kwargs: 2023-07-07T19:59:25.2218828Z - diagnostic_context: 2023-07-07T19:59:25.2218995Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2219277Z [2023-07-07 19:57:05,634] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2219428Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2219433Z 2023-07-07T19:59:25.2219629Z [2023-07-07 19:57:05,634] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2219819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2219837Z 2023-07-07T19:59:25.2220007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2220275Z - self: 2023-07-07T19:59:25.2220491Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2220604Z - aten_name: 2023-07-07T19:59:25.2220735Z - function_overloads: 2023-07-07T19:59:25.2220848Z - onnx_args: 2023-07-07T19:59:25.2220966Z - onnx_kwargs: 2023-07-07T19:59:25.2221258Z - diagnostic_context: 2023-07-07T19:59:25.2221431Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2221713Z [2023-07-07 19:57:05,685] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2221858Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2221864Z 2023-07-07T19:59:25.2222060Z [2023-07-07 19:57:05,685] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2222324Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2222330Z 2023-07-07T19:59:25.2222513Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2222781Z - self: 2023-07-07T19:59:25.2222995Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2223147Z - aten_name: 2023-07-07T19:59:25.2223279Z - function_overloads: 2023-07-07T19:59:25.2223393Z - onnx_args: 2023-07-07T19:59:25.2223509Z - onnx_kwargs: 2023-07-07T19:59:25.2223811Z - diagnostic_context: 2023-07-07T19:59:25.2223978Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2224261Z [2023-07-07 19:57:05,745] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2224412Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2224418Z 2023-07-07T19:59:25.2224600Z [2023-07-07 19:57:05,745] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2224802Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2224812Z 2023-07-07T19:59:25.2224992Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2225260Z - self: 2023-07-07T19:59:25.2225474Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2225586Z - aten_name: 2023-07-07T19:59:25.2225719Z - function_overloads: 2023-07-07T19:59:25.2225833Z - onnx_args: 2023-07-07T19:59:25.2225936Z - onnx_kwargs: 2023-07-07T19:59:25.2226245Z - diagnostic_context: 2023-07-07T19:59:25.2226411Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2226691Z [2023-07-07 19:57:05,801] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2226838Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2226848Z 2023-07-07T19:59:25.2227043Z [2023-07-07 19:57:05,801] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2227246Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2227252Z 2023-07-07T19:59:25.2227436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2227701Z - self: 2023-07-07T19:59:25.2227905Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2228017Z - aten_name: 2023-07-07T19:59:25.2228148Z - function_overloads: 2023-07-07T19:59:25.2228262Z - onnx_args: 2023-07-07T19:59:25.2228377Z - onnx_kwargs: 2023-07-07T19:59:25.2228680Z - diagnostic_context: 2023-07-07T19:59:25.2228852Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2229121Z [2023-07-07 19:57:05,852] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2229267Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2229273Z 2023-07-07T19:59:25.2229466Z [2023-07-07 19:57:05,852] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2229668Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2229745Z 2023-07-07T19:59:25.2229932Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2230199Z - self: 2023-07-07T19:59:25.2230412Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2230574Z - aten_name: 2023-07-07T19:59:25.2230706Z - function_overloads: 2023-07-07T19:59:25.2230808Z - onnx_args: 2023-07-07T19:59:25.2230926Z - onnx_kwargs: 2023-07-07T19:59:25.2231229Z - diagnostic_context: 2023-07-07T19:59:25.2231396Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2231678Z [2023-07-07 19:57:05,905] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2231831Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2231837Z 2023-07-07T19:59:25.2232033Z [2023-07-07 19:57:05,905] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2232235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2232241Z 2023-07-07T19:59:25.2232428Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2232682Z - self: 2023-07-07T19:59:25.2232898Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2233011Z - aten_name: 2023-07-07T19:59:25.2233142Z - function_overloads: 2023-07-07T19:59:25.2233257Z - onnx_args: 2023-07-07T19:59:25.2233373Z - onnx_kwargs: 2023-07-07T19:59:25.2233680Z - diagnostic_context: 2023-07-07T19:59:25.2233835Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2234117Z [2023-07-07 19:57:05,963] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2234265Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2234275Z 2023-07-07T19:59:25.2234535Z [2023-07-07 19:57:05,963] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2234739Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2234745Z 2023-07-07T19:59:25.2234925Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2235193Z - self: 2023-07-07T19:59:25.2235411Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2235524Z - aten_name: 2023-07-07T19:59:25.2235642Z - function_overloads: 2023-07-07T19:59:25.2235757Z - onnx_args: 2023-07-07T19:59:25.2235872Z - onnx_kwargs: 2023-07-07T19:59:25.2236177Z - diagnostic_context: 2023-07-07T19:59:25.2236347Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2236628Z [2023-07-07 19:57:06,026] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2236776Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2236782Z 2023-07-07T19:59:25.2236976Z [2023-07-07 19:57:06,026] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2237164Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2237170Z 2023-07-07T19:59:25.2237411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2237681Z - self: 2023-07-07T19:59:25.2237893Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2238060Z - aten_name: 2023-07-07T19:59:25.2238193Z - function_overloads: 2023-07-07T19:59:25.2238307Z - onnx_args: 2023-07-07T19:59:25.2238425Z - onnx_kwargs: 2023-07-07T19:59:25.2238716Z - diagnostic_context: 2023-07-07T19:59:25.2238884Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2239166Z [2023-07-07 19:57:06,079] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2239319Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2239324Z 2023-07-07T19:59:25.2239521Z [2023-07-07 19:57:06,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2239721Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2239727Z 2023-07-07T19:59:25.2239910Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2240184Z - self: 2023-07-07T19:59:25.2240402Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2240503Z - aten_name: 2023-07-07T19:59:25.2240634Z - function_overloads: 2023-07-07T19:59:25.2240748Z - onnx_args: 2023-07-07T19:59:25.2240866Z - onnx_kwargs: 2023-07-07T19:59:25.2241174Z - diagnostic_context: 2023-07-07T19:59:25.2241339Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2241619Z [2023-07-07 19:57:06,136] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2241754Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2241776Z 2023-07-07T19:59:25.2241958Z [2023-07-07 19:57:06,136] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2242159Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2242165Z 2023-07-07T19:59:25.2242345Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2242611Z - self: 2023-07-07T19:59:25.2242826Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2242941Z - aten_name: 2023-07-07T19:59:25.2243075Z - function_overloads: 2023-07-07T19:59:25.2243189Z - onnx_args: 2023-07-07T19:59:25.2243293Z - onnx_kwargs: 2023-07-07T19:59:25.2243594Z - diagnostic_context: 2023-07-07T19:59:25.2243766Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2244048Z [2023-07-07 19:57:06,192] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2244195Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2244201Z 2023-07-07T19:59:25.2244522Z [2023-07-07 19:57:06,192] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2244741Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2244748Z 2023-07-07T19:59:25.2245014Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2245291Z - self: 2023-07-07T19:59:25.2245494Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2245606Z - aten_name: 2023-07-07T19:59:25.2245808Z - function_overloads: 2023-07-07T19:59:25.2245923Z - onnx_args: 2023-07-07T19:59:25.2246041Z - onnx_kwargs: 2023-07-07T19:59:25.2246345Z - diagnostic_context: 2023-07-07T19:59:25.2246512Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2246783Z [2023-07-07 19:57:06,251] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2246930Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2246940Z 2023-07-07T19:59:25.2247137Z [2023-07-07 19:57:06,251] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2247338Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2247344Z 2023-07-07T19:59:25.2247526Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2247798Z - self: 2023-07-07T19:59:25.2248014Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2248127Z - aten_name: 2023-07-07T19:59:25.2248258Z - function_overloads: 2023-07-07T19:59:25.2248361Z - onnx_args: 2023-07-07T19:59:25.2248476Z - onnx_kwargs: 2023-07-07T19:59:25.2248779Z - diagnostic_context: 2023-07-07T19:59:25.2248950Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2249233Z [2023-07-07 19:57:06,310] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2249381Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2249387Z 2023-07-07T19:59:25.2249587Z [2023-07-07 19:57:06,310] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2249789Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2249795Z 2023-07-07T19:59:25.2249964Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2250231Z - self: 2023-07-07T19:59:25.2250464Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2250648Z - aten_name: 2023-07-07T19:59:25.2250850Z - function_overloads: 2023-07-07T19:59:25.2251030Z - onnx_args: 2023-07-07T19:59:25.2251207Z - onnx_kwargs: 2023-07-07T19:59:25.2251665Z - diagnostic_context: 2023-07-07T19:59:25.2251907Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2252342Z [2023-07-07 19:57:06,366] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2252562Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2252570Z 2023-07-07T19:59:25.2252867Z [2023-07-07 19:57:06,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2253167Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2253176Z 2023-07-07T19:59:25.2253516Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2253926Z - self: 2023-07-07T19:59:25.2254248Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2254418Z - aten_name: 2023-07-07T19:59:25.2254603Z - function_overloads: 2023-07-07T19:59:25.2254850Z - onnx_args: 2023-07-07T19:59:25.2255031Z - onnx_kwargs: 2023-07-07T19:59:25.2255494Z - diagnostic_context: 2023-07-07T19:59:25.2255748Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2256181Z [2023-07-07 19:57:06,437] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2256405Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2256413Z 2023-07-07T19:59:25.2256698Z [2023-07-07 19:57:06,437] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2256998Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2257005Z 2023-07-07T19:59:25.2257275Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2257684Z - self: 2023-07-07T19:59:25.2258015Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2258185Z - aten_name: 2023-07-07T19:59:25.2258387Z - function_overloads: 2023-07-07T19:59:25.2258561Z - onnx_args: 2023-07-07T19:59:25.2258726Z - onnx_kwargs: 2023-07-07T19:59:25.2259185Z - diagnostic_context: 2023-07-07T19:59:25.2259442Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2259874Z [2023-07-07 19:57:06,496] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2260091Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2260099Z 2023-07-07T19:59:25.2260395Z [2023-07-07 19:57:06,496] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2260703Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2260712Z 2023-07-07T19:59:25.2260985Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2261392Z - self: 2023-07-07T19:59:25.2261719Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2261877Z - aten_name: 2023-07-07T19:59:25.2262081Z - function_overloads: 2023-07-07T19:59:25.2262254Z - onnx_args: 2023-07-07T19:59:25.2262429Z - onnx_kwargs: 2023-07-07T19:59:25.2262893Z - diagnostic_context: 2023-07-07T19:59:25.2263144Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2263581Z [2023-07-07 19:57:06,550] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2263788Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2263796Z 2023-07-07T19:59:25.2264089Z [2023-07-07 19:57:06,550] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2264391Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2264399Z 2023-07-07T19:59:25.2264737Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2265145Z - self: 2023-07-07T19:59:25.2265471Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2265642Z - aten_name: 2023-07-07T19:59:25.2265841Z - function_overloads: 2023-07-07T19:59:25.2266066Z - onnx_args: 2023-07-07T19:59:25.2266241Z - onnx_kwargs: 2023-07-07T19:59:25.2266700Z - diagnostic_context: 2023-07-07T19:59:25.2266956Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2267384Z [2023-07-07 19:57:06,604] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2267604Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2267612Z 2023-07-07T19:59:25.2267913Z [2023-07-07 19:57:06,604] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2268217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2268225Z 2023-07-07T19:59:25.2268499Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2268899Z - self: 2023-07-07T19:59:25.2269228Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2269396Z - aten_name: 2023-07-07T19:59:25.2269595Z - function_overloads: 2023-07-07T19:59:25.2269769Z - onnx_args: 2023-07-07T19:59:25.2269948Z - onnx_kwargs: 2023-07-07T19:59:25.2270406Z - diagnostic_context: 2023-07-07T19:59:25.2270667Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2271091Z [2023-07-07 19:57:06,662] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2271311Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2271319Z 2023-07-07T19:59:25.2271617Z [2023-07-07 19:57:06,662] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2271923Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2271931Z 2023-07-07T19:59:25.2272203Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2272608Z - self: 2023-07-07T19:59:25.2272934Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2273106Z - aten_name: 2023-07-07T19:59:25.2273298Z - function_overloads: 2023-07-07T19:59:25.2273468Z - onnx_args: 2023-07-07T19:59:25.2273644Z - onnx_kwargs: 2023-07-07T19:59:25.2274109Z - diagnostic_context: 2023-07-07T19:59:25.2274365Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2274875Z [2023-07-07 19:57:06,723] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2275101Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2275109Z 2023-07-07T19:59:25.2275411Z [2023-07-07 19:57:06,723] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2275713Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2275722Z 2023-07-07T19:59:25.2275981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2276484Z - self: 2023-07-07T19:59:25.2276811Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2276979Z - aten_name: 2023-07-07T19:59:25.2277182Z - function_overloads: 2023-07-07T19:59:25.2277358Z - onnx_args: 2023-07-07T19:59:25.2277591Z - onnx_kwargs: 2023-07-07T19:59:25.2278034Z - diagnostic_context: 2023-07-07T19:59:25.2278290Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2278720Z [2023-07-07 19:57:06,797] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2278941Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2278948Z 2023-07-07T19:59:25.2279251Z [2023-07-07 19:57:06,797] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2279552Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2279561Z 2023-07-07T19:59:25.2279836Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2280246Z - self: 2023-07-07T19:59:25.2280580Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2280734Z - aten_name: 2023-07-07T19:59:25.2280933Z - function_overloads: 2023-07-07T19:59:25.2281105Z - onnx_args: 2023-07-07T19:59:25.2281280Z - onnx_kwargs: 2023-07-07T19:59:25.2281743Z - diagnostic_context: 2023-07-07T19:59:25.2281996Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2282119Z PASSED [2.8726s] [ 43%] 2023-07-07T19:59:25.2282505Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_int16 XFAIL [0.0574s] [ 43%] 2023-07-07T19:59:25.2283210Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_int32 [2023-07-07 19:57:06,962] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2283368Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2283374Z 2023-07-07T19:59:25.2283574Z [2023-07-07 19:57:06,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2283776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2283782Z 2023-07-07T19:59:25.2283964Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2284236Z - self: 2023-07-07T19:59:25.2284569Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2284690Z - aten_name: 2023-07-07T19:59:25.2284821Z - function_overloads: 2023-07-07T19:59:25.2284924Z - onnx_args: 2023-07-07T19:59:25.2285046Z - onnx_kwargs: 2023-07-07T19:59:25.2285350Z - diagnostic_context: 2023-07-07T19:59:25.2285518Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2285800Z [2023-07-07 19:57:07,015] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2285949Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2285955Z 2023-07-07T19:59:25.2286244Z [2023-07-07 19:57:07,015] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2286451Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2286456Z 2023-07-07T19:59:25.2286640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2286898Z - self: 2023-07-07T19:59:25.2287177Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2287291Z - aten_name: 2023-07-07T19:59:25.2287422Z - function_overloads: 2023-07-07T19:59:25.2287536Z - onnx_args: 2023-07-07T19:59:25.2287653Z - onnx_kwargs: 2023-07-07T19:59:25.2287954Z - diagnostic_context: 2023-07-07T19:59:25.2288111Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2288400Z [2023-07-07 19:57:07,071] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2288549Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2288555Z 2023-07-07T19:59:25.2288749Z [2023-07-07 19:57:07,071] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2288951Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2288961Z 2023-07-07T19:59:25.2289143Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2289413Z - self: 2023-07-07T19:59:25.2289627Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2289740Z - aten_name: 2023-07-07T19:59:25.2289859Z - function_overloads: 2023-07-07T19:59:25.2289978Z - onnx_args: 2023-07-07T19:59:25.2290096Z - onnx_kwargs: 2023-07-07T19:59:25.2290397Z - diagnostic_context: 2023-07-07T19:59:25.2290564Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2290844Z [2023-07-07 19:57:07,123] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2290996Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2291002Z 2023-07-07T19:59:25.2291197Z [2023-07-07 19:57:07,123] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2291388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2291405Z 2023-07-07T19:59:25.2291575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2291847Z - self: 2023-07-07T19:59:25.2292062Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2292175Z - aten_name: 2023-07-07T19:59:25.2292305Z - function_overloads: 2023-07-07T19:59:25.2292419Z - onnx_args: 2023-07-07T19:59:25.2292538Z - onnx_kwargs: 2023-07-07T19:59:25.2292829Z - diagnostic_context: 2023-07-07T19:59:25.2292994Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2293277Z [2023-07-07 19:57:07,174] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2293425Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2293431Z 2023-07-07T19:59:25.2293625Z [2023-07-07 19:57:07,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2293888Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2293894Z 2023-07-07T19:59:25.2294076Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2294340Z - self: 2023-07-07T19:59:25.2294607Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2294709Z - aten_name: 2023-07-07T19:59:25.2294840Z - function_overloads: 2023-07-07T19:59:25.2294954Z - onnx_args: 2023-07-07T19:59:25.2295069Z - onnx_kwargs: 2023-07-07T19:59:25.2295374Z - diagnostic_context: 2023-07-07T19:59:25.2295542Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2295829Z [2023-07-07 19:57:07,227] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2295964Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2295982Z 2023-07-07T19:59:25.2296165Z [2023-07-07 19:57:07,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2296367Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2296377Z 2023-07-07T19:59:25.2296556Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2296821Z - self: 2023-07-07T19:59:25.2297036Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2297147Z - aten_name: 2023-07-07T19:59:25.2297277Z - function_overloads: 2023-07-07T19:59:25.2297391Z - onnx_args: 2023-07-07T19:59:25.2297499Z - onnx_kwargs: 2023-07-07T19:59:25.2297800Z - diagnostic_context: 2023-07-07T19:59:25.2297968Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2298250Z [2023-07-07 19:57:07,284] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2298400Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2298406Z 2023-07-07T19:59:25.2298599Z [2023-07-07 19:57:07,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2298799Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2298804Z 2023-07-07T19:59:25.2298986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2299256Z - self: 2023-07-07T19:59:25.2299460Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2299572Z - aten_name: 2023-07-07T19:59:25.2299702Z - function_overloads: 2023-07-07T19:59:25.2299816Z - onnx_args: 2023-07-07T19:59:25.2299931Z - onnx_kwargs: 2023-07-07T19:59:25.2300240Z - diagnostic_context: 2023-07-07T19:59:25.2300407Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2300673Z [2023-07-07 19:57:07,335] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2300820Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2300825Z 2023-07-07T19:59:25.2301021Z [2023-07-07 19:57:07,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2301270Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2301277Z 2023-07-07T19:59:25.2301461Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2301726Z - self: 2023-07-07T19:59:25.2301989Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2302104Z - aten_name: 2023-07-07T19:59:25.2302234Z - function_overloads: 2023-07-07T19:59:25.2302336Z - onnx_args: 2023-07-07T19:59:25.2302452Z - onnx_kwargs: 2023-07-07T19:59:25.2302753Z - diagnostic_context: 2023-07-07T19:59:25.2302920Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2303207Z [2023-07-07 19:57:07,386] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2303354Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2303360Z 2023-07-07T19:59:25.2303554Z [2023-07-07 19:57:07,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2303753Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2303763Z 2023-07-07T19:59:25.2303932Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2304197Z - self: 2023-07-07T19:59:25.2304409Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2304523Z - aten_name: 2023-07-07T19:59:25.2304654Z - function_overloads: 2023-07-07T19:59:25.2304768Z - onnx_args: 2023-07-07T19:59:25.2304888Z - onnx_kwargs: 2023-07-07T19:59:25.2305189Z - diagnostic_context: 2023-07-07T19:59:25.2305344Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2305628Z [2023-07-07 19:57:07,442] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2305779Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2305785Z 2023-07-07T19:59:25.2305982Z [2023-07-07 19:57:07,442] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2306183Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2306189Z 2023-07-07T19:59:25.2306372Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2306643Z - self: 2023-07-07T19:59:25.2306857Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2306969Z - aten_name: 2023-07-07T19:59:25.2307088Z - function_overloads: 2023-07-07T19:59:25.2307201Z - onnx_args: 2023-07-07T19:59:25.2307318Z - onnx_kwargs: 2023-07-07T19:59:25.2307626Z - diagnostic_context: 2023-07-07T19:59:25.2307794Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2308078Z [2023-07-07 19:57:07,500] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2308225Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2308230Z 2023-07-07T19:59:25.2308424Z [2023-07-07 19:57:07,500] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2308670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2308677Z 2023-07-07T19:59:25.2308860Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2309126Z - self: 2023-07-07T19:59:25.2309339Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2309504Z - aten_name: 2023-07-07T19:59:25.2309634Z - function_overloads: 2023-07-07T19:59:25.2309747Z - onnx_args: 2023-07-07T19:59:25.2309862Z - onnx_kwargs: 2023-07-07T19:59:25.2310154Z - diagnostic_context: 2023-07-07T19:59:25.2310321Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2310605Z [2023-07-07 19:57:07,553] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2310754Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2310760Z 2023-07-07T19:59:25.2310956Z [2023-07-07 19:57:07,554] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2311158Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2311168Z 2023-07-07T19:59:25.2311350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2311618Z - self: 2023-07-07T19:59:25.2311833Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2311934Z - aten_name: 2023-07-07T19:59:25.2312065Z - function_overloads: 2023-07-07T19:59:25.2312179Z - onnx_args: 2023-07-07T19:59:25.2312295Z - onnx_kwargs: 2023-07-07T19:59:25.2312602Z - diagnostic_context: 2023-07-07T19:59:25.2312769Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2313051Z [2023-07-07 19:57:07,604] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2313190Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2313196Z 2023-07-07T19:59:25.2313391Z [2023-07-07 19:57:07,604] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2313591Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2313597Z 2023-07-07T19:59:25.2313778Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2314046Z - self: 2023-07-07T19:59:25.2314263Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2314376Z - aten_name: 2023-07-07T19:59:25.2314589Z - function_overloads: 2023-07-07T19:59:25.2314707Z - onnx_args: 2023-07-07T19:59:25.2314810Z - onnx_kwargs: 2023-07-07T19:59:25.2315113Z - diagnostic_context: 2023-07-07T19:59:25.2315286Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2315568Z [2023-07-07 19:57:07,660] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2315715Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2315721Z 2023-07-07T19:59:25.2315918Z [2023-07-07 19:57:07,660] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2316178Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2316185Z 2023-07-07T19:59:25.2316369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2316623Z - self: 2023-07-07T19:59:25.2316836Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2317018Z - aten_name: 2023-07-07T19:59:25.2317150Z - function_overloads: 2023-07-07T19:59:25.2317265Z - onnx_args: 2023-07-07T19:59:25.2317382Z - onnx_kwargs: 2023-07-07T19:59:25.2317685Z - diagnostic_context: 2023-07-07T19:59:25.2317852Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2318122Z [2023-07-07 19:57:07,718] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2318273Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2318278Z 2023-07-07T19:59:25.2318471Z [2023-07-07 19:57:07,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2318674Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2318684Z 2023-07-07T19:59:25.2318868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2319134Z - self: 2023-07-07T19:59:25.2319350Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2319464Z - aten_name: 2023-07-07T19:59:25.2319583Z - function_overloads: 2023-07-07T19:59:25.2319699Z - onnx_args: 2023-07-07T19:59:25.2319814Z - onnx_kwargs: 2023-07-07T19:59:25.2320123Z - diagnostic_context: 2023-07-07T19:59:25.2320290Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2320570Z [2023-07-07 19:57:07,772] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2320718Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2320727Z 2023-07-07T19:59:25.2320923Z [2023-07-07 19:57:07,772] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2321125Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2321130Z 2023-07-07T19:59:25.2321299Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2321565Z - self: 2023-07-07T19:59:25.2321781Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2321896Z - aten_name: 2023-07-07T19:59:25.2322027Z - function_overloads: 2023-07-07T19:59:25.2322142Z - onnx_args: 2023-07-07T19:59:25.2322259Z - onnx_kwargs: 2023-07-07T19:59:25.2322550Z - diagnostic_context: 2023-07-07T19:59:25.2322722Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2323004Z [2023-07-07 19:57:07,825] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2323151Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2323157Z 2023-07-07T19:59:25.2323351Z [2023-07-07 19:57:07,825] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2323604Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2323611Z 2023-07-07T19:59:25.2323793Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2324059Z - self: 2023-07-07T19:59:25.2324272Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2324569Z - aten_name: 2023-07-07T19:59:25.2324727Z - function_overloads: 2023-07-07T19:59:25.2324843Z - onnx_args: 2023-07-07T19:59:25.2324959Z - onnx_kwargs: 2023-07-07T19:59:25.2325263Z - diagnostic_context: 2023-07-07T19:59:25.2325431Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2325713Z [2023-07-07 19:57:07,892] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2325865Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2325871Z 2023-07-07T19:59:25.2326053Z [2023-07-07 19:57:07,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2326256Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2326261Z 2023-07-07T19:59:25.2326448Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2326717Z - self: 2023-07-07T19:59:25.2326931Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2327044Z - aten_name: 2023-07-07T19:59:25.2327176Z - function_overloads: 2023-07-07T19:59:25.2327291Z - onnx_args: 2023-07-07T19:59:25.2327394Z - onnx_kwargs: 2023-07-07T19:59:25.2327702Z - diagnostic_context: 2023-07-07T19:59:25.2327869Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2328151Z [2023-07-07 19:57:07,953] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2328299Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2328308Z 2023-07-07T19:59:25.2328503Z [2023-07-07 19:57:07,953] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2328704Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2328710Z 2023-07-07T19:59:25.2328892Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2329159Z - self: 2023-07-07T19:59:25.2329364Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2329478Z - aten_name: 2023-07-07T19:59:25.2329609Z - function_overloads: 2023-07-07T19:59:25.2329723Z - onnx_args: 2023-07-07T19:59:25.2329839Z - onnx_kwargs: 2023-07-07T19:59:25.2330142Z - diagnostic_context: 2023-07-07T19:59:25.2330314Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2330595Z [2023-07-07 19:57:08,006] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2330729Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2330735Z 2023-07-07T19:59:25.2330932Z [2023-07-07 19:57:08,006] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2331132Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2331231Z 2023-07-07T19:59:25.2331417Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2331686Z - self: 2023-07-07T19:59:25.2331899Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2332075Z - aten_name: 2023-07-07T19:59:25.2332207Z - function_overloads: 2023-07-07T19:59:25.2332309Z - onnx_args: 2023-07-07T19:59:25.2332424Z - onnx_kwargs: 2023-07-07T19:59:25.2332727Z - diagnostic_context: 2023-07-07T19:59:25.2332893Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2333174Z [2023-07-07 19:57:08,072] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2333326Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2333331Z 2023-07-07T19:59:25.2333525Z [2023-07-07 19:57:08,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2333726Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2333731Z 2023-07-07T19:59:25.2333911Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2334169Z - self: 2023-07-07T19:59:25.2334381Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2334493Z - aten_name: 2023-07-07T19:59:25.2334624Z - function_overloads: 2023-07-07T19:59:25.2334736Z - onnx_args: 2023-07-07T19:59:25.2334852Z - onnx_kwargs: 2023-07-07T19:59:25.2335158Z - diagnostic_context: 2023-07-07T19:59:25.2335312Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2335678Z [2023-07-07 19:57:08,129] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2335897Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2335913Z 2023-07-07T19:59:25.2336212Z [2023-07-07 19:57:08,129] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2336517Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2336525Z 2023-07-07T19:59:25.2336797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2337201Z - self: 2023-07-07T19:59:25.2337525Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2337702Z - aten_name: 2023-07-07T19:59:25.2337886Z - function_overloads: 2023-07-07T19:59:25.2338061Z - onnx_args: 2023-07-07T19:59:25.2338237Z - onnx_kwargs: 2023-07-07T19:59:25.2338697Z - diagnostic_context: 2023-07-07T19:59:25.2338955Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2339391Z [2023-07-07 19:57:08,191] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2339612Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2339620Z 2023-07-07T19:59:25.2339916Z [2023-07-07 19:57:08,191] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2340207Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2340228Z 2023-07-07T19:59:25.2340595Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2341003Z - self: 2023-07-07T19:59:25.2341327Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2341497Z - aten_name: 2023-07-07T19:59:25.2341758Z - function_overloads: 2023-07-07T19:59:25.2341935Z - onnx_args: 2023-07-07T19:59:25.2342115Z - onnx_kwargs: 2023-07-07T19:59:25.2342564Z - diagnostic_context: 2023-07-07T19:59:25.2342819Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2343215Z [2023-07-07 19:57:08,246] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2343439Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2343453Z 2023-07-07T19:59:25.2343764Z [2023-07-07 19:57:08,246] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2343971Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2343977Z 2023-07-07T19:59:25.2344160Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2344434Z - self: 2023-07-07T19:59:25.2344649Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2344749Z - aten_name: 2023-07-07T19:59:25.2344880Z - function_overloads: 2023-07-07T19:59:25.2344995Z - onnx_args: 2023-07-07T19:59:25.2345111Z - onnx_kwargs: 2023-07-07T19:59:25.2345413Z - diagnostic_context: 2023-07-07T19:59:25.2345585Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2345870Z [2023-07-07 19:57:08,305] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2346019Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2346025Z 2023-07-07T19:59:25.2346212Z [2023-07-07 19:57:08,305] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2346413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2346418Z 2023-07-07T19:59:25.2346598Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2346862Z - self: 2023-07-07T19:59:25.2347076Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2347191Z - aten_name: 2023-07-07T19:59:25.2347322Z - function_overloads: 2023-07-07T19:59:25.2347436Z - onnx_args: 2023-07-07T19:59:25.2347540Z - onnx_kwargs: 2023-07-07T19:59:25.2347842Z - diagnostic_context: 2023-07-07T19:59:25.2348007Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2348292Z [2023-07-07 19:57:08,372] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2348439Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2348445Z 2023-07-07T19:59:25.2348641Z [2023-07-07 19:57:08,372] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2348842Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2348847Z 2023-07-07T19:59:25.2349110Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2349379Z - self: 2023-07-07T19:59:25.2349581Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2349694Z - aten_name: 2023-07-07T19:59:25.2349825Z - function_overloads: 2023-07-07T19:59:25.2350001Z - onnx_args: 2023-07-07T19:59:25.2350120Z - onnx_kwargs: 2023-07-07T19:59:25.2350424Z - diagnostic_context: 2023-07-07T19:59:25.2350592Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2350865Z [2023-07-07 19:57:08,445] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2351012Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2351018Z 2023-07-07T19:59:25.2351217Z [2023-07-07 19:57:08,445] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2351416Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2351423Z 2023-07-07T19:59:25.2351602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2351874Z - self: 2023-07-07T19:59:25.2352087Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2352199Z - aten_name: 2023-07-07T19:59:25.2352332Z - function_overloads: 2023-07-07T19:59:25.2352433Z - onnx_args: 2023-07-07T19:59:25.2352549Z - onnx_kwargs: 2023-07-07T19:59:25.2352851Z - diagnostic_context: 2023-07-07T19:59:25.2353021Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2353305Z [2023-07-07 19:57:08,514] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2353452Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2353458Z 2023-07-07T19:59:25.2353653Z [2023-07-07 19:57:08,514] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2353858Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2353864Z 2023-07-07T19:59:25.2354046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2354301Z - self: 2023-07-07T19:59:25.2354592Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2354710Z - aten_name: 2023-07-07T19:59:25.2354845Z - function_overloads: 2023-07-07T19:59:25.2354961Z - onnx_args: 2023-07-07T19:59:25.2355078Z - onnx_kwargs: 2023-07-07T19:59:25.2355378Z - diagnostic_context: 2023-07-07T19:59:25.2355533Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2355821Z [2023-07-07 19:57:08,576] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2355968Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2355975Z 2023-07-07T19:59:25.2356169Z [2023-07-07 19:57:08,576] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2356368Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2356374Z 2023-07-07T19:59:25.2356613Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2356881Z - self: 2023-07-07T19:59:25.2357094Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2357208Z - aten_name: 2023-07-07T19:59:25.2357326Z - function_overloads: 2023-07-07T19:59:25.2357494Z - onnx_args: 2023-07-07T19:59:25.2357611Z - onnx_kwargs: 2023-07-07T19:59:25.2357914Z - diagnostic_context: 2023-07-07T19:59:25.2358079Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2358359Z [2023-07-07 19:57:08,630] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2358506Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2358512Z 2023-07-07T19:59:25.2358711Z [2023-07-07 19:57:08,630] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2358902Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2358916Z 2023-07-07T19:59:25.2363659Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2364021Z - self: 2023-07-07T19:59:25.2364249Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2364352Z - aten_name: 2023-07-07T19:59:25.2364710Z - function_overloads: 2023-07-07T19:59:25.2364833Z - onnx_args: 2023-07-07T19:59:25.2364951Z - onnx_kwargs: 2023-07-07T19:59:25.2365261Z - diagnostic_context: 2023-07-07T19:59:25.2365441Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2365735Z [2023-07-07 19:57:08,683] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2365888Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2365896Z 2023-07-07T19:59:25.2366084Z [2023-07-07 19:57:08,683] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2366295Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2366302Z 2023-07-07T19:59:25.2366486Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2366758Z - self: 2023-07-07T19:59:25.2366974Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2367088Z - aten_name: 2023-07-07T19:59:25.2367224Z - function_overloads: 2023-07-07T19:59:25.2367339Z - onnx_args: 2023-07-07T19:59:25.2367443Z - onnx_kwargs: 2023-07-07T19:59:25.2367749Z - diagnostic_context: 2023-07-07T19:59:25.2367917Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2368200Z [2023-07-07 19:57:08,732] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2368353Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2368360Z 2023-07-07T19:59:25.2368557Z [2023-07-07 19:57:08,732] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2368761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2368767Z 2023-07-07T19:59:25.2368951Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2369355Z - self: 2023-07-07T19:59:25.2369561Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2369675Z - aten_name: 2023-07-07T19:59:25.2369810Z - function_overloads: 2023-07-07T19:59:25.2370011Z - onnx_args: 2023-07-07T19:59:25.2370127Z - onnx_kwargs: 2023-07-07T19:59:25.2370432Z - diagnostic_context: 2023-07-07T19:59:25.2370604Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2370876Z [2023-07-07 19:57:08,781] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2371027Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2371032Z 2023-07-07T19:59:25.2371234Z [2023-07-07 19:57:08,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2371438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2371444Z 2023-07-07T19:59:25.2371628Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2371899Z - self: 2023-07-07T19:59:25.2372120Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2372237Z - aten_name: 2023-07-07T19:59:25.2372371Z - function_overloads: 2023-07-07T19:59:25.2372474Z - onnx_args: 2023-07-07T19:59:25.2372591Z - onnx_kwargs: 2023-07-07T19:59:25.2372898Z - diagnostic_context: 2023-07-07T19:59:25.2373069Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2373355Z [2023-07-07 19:57:08,833] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2373506Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2373512Z 2023-07-07T19:59:25.2373711Z [2023-07-07 19:57:08,833] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2373918Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2373924Z 2023-07-07T19:59:25.2374108Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2374363Z - self: 2023-07-07T19:59:25.2374577Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2374696Z - aten_name: 2023-07-07T19:59:25.2374828Z - function_overloads: 2023-07-07T19:59:25.2374949Z - onnx_args: 2023-07-07T19:59:25.2375067Z - onnx_kwargs: 2023-07-07T19:59:25.2375373Z - diagnostic_context: 2023-07-07T19:59:25.2375527Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2375812Z [2023-07-07 19:57:08,889] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2375966Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2375971Z 2023-07-07T19:59:25.2376168Z [2023-07-07 19:57:08,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2376372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2376378Z 2023-07-07T19:59:25.2376562Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2376886Z - self: 2023-07-07T19:59:25.2377104Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2377219Z - aten_name: 2023-07-07T19:59:25.2377338Z - function_overloads: 2023-07-07T19:59:25.2377453Z - onnx_args: 2023-07-07T19:59:25.2377639Z - onnx_kwargs: 2023-07-07T19:59:25.2377946Z - diagnostic_context: 2023-07-07T19:59:25.2378114Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2378398Z [2023-07-07 19:57:09,121] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2378547Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2378553Z 2023-07-07T19:59:25.2378755Z [2023-07-07 19:57:09,121] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2378946Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2378966Z 2023-07-07T19:59:25.2379137Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2379405Z - self: 2023-07-07T19:59:25.2379625Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2379740Z - aten_name: 2023-07-07T19:59:25.2379873Z - function_overloads: 2023-07-07T19:59:25.2379988Z - onnx_args: 2023-07-07T19:59:25.2380105Z - onnx_kwargs: 2023-07-07T19:59:25.2380396Z - diagnostic_context: 2023-07-07T19:59:25.2380564Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2380852Z [2023-07-07 19:57:09,173] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2381002Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2381008Z 2023-07-07T19:59:25.2381205Z [2023-07-07 19:57:09,173] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2381408Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2381418Z 2023-07-07T19:59:25.2381604Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2381872Z - self: 2023-07-07T19:59:25.2382086Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2382187Z - aten_name: 2023-07-07T19:59:25.2382321Z - function_overloads: 2023-07-07T19:59:25.2382439Z - onnx_args: 2023-07-07T19:59:25.2382557Z - onnx_kwargs: 2023-07-07T19:59:25.2382864Z - diagnostic_context: 2023-07-07T19:59:25.2383033Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2383318Z [2023-07-07 19:57:09,226] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2383457Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2383478Z 2023-07-07T19:59:25.2383662Z [2023-07-07 19:57:09,226] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2383867Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2383872Z 2023-07-07T19:59:25.2384056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2384388Z - self: 2023-07-07T19:59:25.2384604Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2384719Z - aten_name: 2023-07-07T19:59:25.2384852Z - function_overloads: 2023-07-07T19:59:25.2384967Z - onnx_args: 2023-07-07T19:59:25.2385070Z - onnx_kwargs: 2023-07-07T19:59:25.2385432Z - diagnostic_context: 2023-07-07T19:59:25.2385601Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2385883Z [2023-07-07 19:57:09,283] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2386032Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2386038Z 2023-07-07T19:59:25.2386235Z [2023-07-07 19:57:09,283] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2386441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2386447Z 2023-07-07T19:59:25.2386630Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2386900Z - self: 2023-07-07T19:59:25.2387108Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2387221Z - aten_name: 2023-07-07T19:59:25.2387355Z - function_overloads: 2023-07-07T19:59:25.2387471Z - onnx_args: 2023-07-07T19:59:25.2387588Z - onnx_kwargs: 2023-07-07T19:59:25.2387894Z - diagnostic_context: 2023-07-07T19:59:25.2388060Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2388337Z [2023-07-07 19:57:09,334] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2388485Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2388491Z 2023-07-07T19:59:25.2388687Z [2023-07-07 19:57:09,334] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2388887Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2388897Z 2023-07-07T19:59:25.2389081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2389349Z - self: 2023-07-07T19:59:25.2389566Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2389681Z - aten_name: 2023-07-07T19:59:25.2389813Z - function_overloads: 2023-07-07T19:59:25.2389914Z - onnx_args: 2023-07-07T19:59:25.2390035Z - onnx_kwargs: 2023-07-07T19:59:25.2390340Z - diagnostic_context: 2023-07-07T19:59:25.2390506Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2390791Z [2023-07-07 19:57:09,388] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2390945Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2390950Z 2023-07-07T19:59:25.2391147Z [2023-07-07 19:57:09,388] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2391351Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2391357Z 2023-07-07T19:59:25.2391525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2391850Z - self: 2023-07-07T19:59:25.2392069Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2392181Z - aten_name: 2023-07-07T19:59:25.2392313Z - function_overloads: 2023-07-07T19:59:25.2392430Z - onnx_args: 2023-07-07T19:59:25.2392548Z - onnx_kwargs: 2023-07-07T19:59:25.2392910Z - diagnostic_context: 2023-07-07T19:59:25.2393065Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2393347Z [2023-07-07 19:57:09,465] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2393494Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2393500Z 2023-07-07T19:59:25.2393696Z [2023-07-07 19:57:09,465] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2393902Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2393908Z 2023-07-07T19:59:25.2394091Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2394359Z - self: 2023-07-07T19:59:25.2394669Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2394789Z - aten_name: 2023-07-07T19:59:25.2394908Z - function_overloads: 2023-07-07T19:59:25.2395025Z - onnx_args: 2023-07-07T19:59:25.2395143Z - onnx_kwargs: 2023-07-07T19:59:25.2395448Z - diagnostic_context: 2023-07-07T19:59:25.2395617Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2395909Z [2023-07-07 19:57:09,547] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2396060Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2396066Z 2023-07-07T19:59:25.2396264Z [2023-07-07 19:57:09,547] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2396455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2396465Z 2023-07-07T19:59:25.2396647Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2396916Z - self: 2023-07-07T19:59:25.2397135Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2397249Z - aten_name: 2023-07-07T19:59:25.2397380Z - function_overloads: 2023-07-07T19:59:25.2397496Z - onnx_args: 2023-07-07T19:59:25.2397615Z - onnx_kwargs: 2023-07-07T19:59:25.2397909Z - diagnostic_context: 2023-07-07T19:59:25.2398075Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2398356Z [2023-07-07 19:57:09,603] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2398507Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2398513Z 2023-07-07T19:59:25.2398709Z [2023-07-07 19:57:09,603] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2398912Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2398918Z 2023-07-07T19:59:25.2399103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2399373Z - self: 2023-07-07T19:59:25.2399652Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2399754Z - aten_name: 2023-07-07T19:59:25.2399884Z - function_overloads: 2023-07-07T19:59:25.2399998Z - onnx_args: 2023-07-07T19:59:25.2400115Z - onnx_kwargs: 2023-07-07T19:59:25.2400419Z - diagnostic_context: 2023-07-07T19:59:25.2400674Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2400955Z [2023-07-07 19:57:09,691] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2401089Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2401094Z 2023-07-07T19:59:25.2401291Z [2023-07-07 19:57:09,691] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2401497Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2401503Z 2023-07-07T19:59:25.2401683Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2401952Z - self: 2023-07-07T19:59:25.2402169Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2402290Z - aten_name: 2023-07-07T19:59:25.2402422Z - function_overloads: 2023-07-07T19:59:25.2402539Z - onnx_args: 2023-07-07T19:59:25.2402643Z - onnx_kwargs: 2023-07-07T19:59:25.2402946Z - diagnostic_context: 2023-07-07T19:59:25.2403117Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2403404Z [2023-07-07 19:57:09,778] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2403551Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2403557Z 2023-07-07T19:59:25.2403754Z [2023-07-07 19:57:09,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2403958Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2403968Z 2023-07-07T19:59:25.2404152Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2404551Z - self: 2023-07-07T19:59:25.2404782Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2404896Z - aten_name: 2023-07-07T19:59:25.2405030Z - function_overloads: 2023-07-07T19:59:25.2405147Z - onnx_args: 2023-07-07T19:59:25.2405266Z - onnx_kwargs: 2023-07-07T19:59:25.2405577Z - diagnostic_context: 2023-07-07T19:59:25.2405746Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2406017Z [2023-07-07 19:57:09,870] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2406166Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2406176Z 2023-07-07T19:59:25.2406372Z [2023-07-07 19:57:09,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2406575Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2406581Z 2023-07-07T19:59:25.2406764Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2407032Z - self: 2023-07-07T19:59:25.2407365Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2407483Z - aten_name: 2023-07-07T19:59:25.2407602Z - function_overloads: 2023-07-07T19:59:25.2407717Z - onnx_args: 2023-07-07T19:59:25.2407834Z - onnx_kwargs: 2023-07-07T19:59:25.2408138Z - diagnostic_context: 2023-07-07T19:59:25.2408377Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2408659Z [2023-07-07 19:57:09,960] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2408807Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2408813Z 2023-07-07T19:59:25.2409007Z [2023-07-07 19:57:09,960] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2409212Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2409219Z 2023-07-07T19:59:25.2409387Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2409653Z - self: 2023-07-07T19:59:25.2409868Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2409985Z - aten_name: 2023-07-07T19:59:25.2410117Z - function_overloads: 2023-07-07T19:59:25.2410232Z - onnx_args: 2023-07-07T19:59:25.2410347Z - onnx_kwargs: 2023-07-07T19:59:25.2410638Z - diagnostic_context: 2023-07-07T19:59:25.2410807Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2410886Z PASSED [3.1026s] [ 44%] 2023-07-07T19:59:25.2411420Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_int64 [2023-07-07 19:57:10,113] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2411569Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2411575Z 2023-07-07T19:59:25.2411771Z [2023-07-07 19:57:10,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2411975Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2411980Z 2023-07-07T19:59:25.2412163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2412430Z - self: 2023-07-07T19:59:25.2412643Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2412744Z - aten_name: 2023-07-07T19:59:25.2412884Z - function_overloads: 2023-07-07T19:59:25.2412999Z - onnx_args: 2023-07-07T19:59:25.2413117Z - onnx_kwargs: 2023-07-07T19:59:25.2413418Z - diagnostic_context: 2023-07-07T19:59:25.2413586Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2413870Z [2023-07-07 19:57:10,182] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2414009Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2414027Z 2023-07-07T19:59:25.2414209Z [2023-07-07 19:57:10,182] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2414407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2414413Z 2023-07-07T19:59:25.2414594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2414929Z - self: 2023-07-07T19:59:25.2415144Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2415259Z - aten_name: 2023-07-07T19:59:25.2415389Z - function_overloads: 2023-07-07T19:59:25.2415505Z - onnx_args: 2023-07-07T19:59:25.2415673Z - onnx_kwargs: 2023-07-07T19:59:25.2416037Z - diagnostic_context: 2023-07-07T19:59:25.2416296Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2416732Z [2023-07-07 19:57:10,250] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2416954Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2416962Z 2023-07-07T19:59:25.2417266Z [2023-07-07 19:57:10,250] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2417572Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2417581Z 2023-07-07T19:59:25.2417855Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2418260Z - self: 2023-07-07T19:59:25.2418576Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2418749Z - aten_name: 2023-07-07T19:59:25.2418950Z - function_overloads: 2023-07-07T19:59:25.2419125Z - onnx_args: 2023-07-07T19:59:25.2419302Z - onnx_kwargs: 2023-07-07T19:59:25.2419762Z - diagnostic_context: 2023-07-07T19:59:25.2420019Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2420447Z [2023-07-07 19:57:10,305] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2420671Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2420679Z 2023-07-07T19:59:25.2420972Z [2023-07-07 19:57:10,305] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2421280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2421288Z 2023-07-07T19:59:25.2421562Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2421970Z - self: 2023-07-07T19:59:25.2422299Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2422470Z - aten_name: 2023-07-07T19:59:25.2422671Z - function_overloads: 2023-07-07T19:59:25.2422833Z - onnx_args: 2023-07-07T19:59:25.2423009Z - onnx_kwargs: 2023-07-07T19:59:25.2423469Z - diagnostic_context: 2023-07-07T19:59:25.2423726Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2424161Z [2023-07-07 19:57:10,354] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2424393Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2424401Z 2023-07-07T19:59:25.2424701Z [2023-07-07 19:57:10,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2425003Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2425011Z 2023-07-07T19:59:25.2425272Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2425753Z - self: 2023-07-07T19:59:25.2426140Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2426311Z - aten_name: 2023-07-07T19:59:25.2426511Z - function_overloads: 2023-07-07T19:59:25.2426688Z - onnx_args: 2023-07-07T19:59:25.2426928Z - onnx_kwargs: 2023-07-07T19:59:25.2427387Z - diagnostic_context: 2023-07-07T19:59:25.2427625Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2428053Z [2023-07-07 19:57:10,405] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2428275Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2428283Z 2023-07-07T19:59:25.2428583Z [2023-07-07 19:57:10,405] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2428892Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2428901Z 2023-07-07T19:59:25.2429179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2429593Z - self: 2023-07-07T19:59:25.2429928Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2430101Z - aten_name: 2023-07-07T19:59:25.2430290Z - function_overloads: 2023-07-07T19:59:25.2430465Z - onnx_args: 2023-07-07T19:59:25.2430644Z - onnx_kwargs: 2023-07-07T19:59:25.2431112Z - diagnostic_context: 2023-07-07T19:59:25.2431369Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2431808Z [2023-07-07 19:57:10,462] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2432030Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2432038Z 2023-07-07T19:59:25.2432321Z [2023-07-07 19:57:10,462] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2432628Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2432641Z 2023-07-07T19:59:25.2432916Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2433325Z - self: 2023-07-07T19:59:25.2433652Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2433827Z - aten_name: 2023-07-07T19:59:25.2434030Z - function_overloads: 2023-07-07T19:59:25.2434207Z - onnx_args: 2023-07-07T19:59:25.2434377Z - onnx_kwargs: 2023-07-07T19:59:25.2434910Z - diagnostic_context: 2023-07-07T19:59:25.2435163Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2435603Z [2023-07-07 19:57:10,522] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2435832Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2435840Z 2023-07-07T19:59:25.2436137Z [2023-07-07 19:57:10,522] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2436443Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2436451Z 2023-07-07T19:59:25.2436727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2437210Z - self: 2023-07-07T19:59:25.2437528Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2437704Z - aten_name: 2023-07-07T19:59:25.2437905Z - function_overloads: 2023-07-07T19:59:25.2438081Z - onnx_args: 2023-07-07T19:59:25.2438260Z - onnx_kwargs: 2023-07-07T19:59:25.2438807Z - diagnostic_context: 2023-07-07T19:59:25.2439064Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2439503Z [2023-07-07 19:57:10,590] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2439707Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2439715Z 2023-07-07T19:59:25.2440016Z [2023-07-07 19:57:10,590] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2440325Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2440333Z 2023-07-07T19:59:25.2440607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2441019Z - self: 2023-07-07T19:59:25.2441353Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2441524Z - aten_name: 2023-07-07T19:59:25.2441724Z - function_overloads: 2023-07-07T19:59:25.2441883Z - onnx_args: 2023-07-07T19:59:25.2442062Z - onnx_kwargs: 2023-07-07T19:59:25.2442520Z - diagnostic_context: 2023-07-07T19:59:25.2442775Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2443219Z [2023-07-07 19:57:10,648] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2443441Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2443450Z 2023-07-07T19:59:25.2443749Z [2023-07-07 19:57:10,648] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2444056Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2444070Z 2023-07-07T19:59:25.2444344Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2444858Z - self: 2023-07-07T19:59:25.2445186Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2445358Z - aten_name: 2023-07-07T19:59:25.2445565Z - function_overloads: 2023-07-07T19:59:25.2445744Z - onnx_args: 2023-07-07T19:59:25.2445929Z - onnx_kwargs: 2023-07-07T19:59:25.2446392Z - diagnostic_context: 2023-07-07T19:59:25.2446650Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2447069Z [2023-07-07 19:57:10,703] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2447297Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2447305Z 2023-07-07T19:59:25.2447602Z [2023-07-07 19:57:10,703] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2447909Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2447917Z 2023-07-07T19:59:25.2448195Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2448705Z - self: 2023-07-07T19:59:25.2449038Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2449211Z - aten_name: 2023-07-07T19:59:25.2449399Z - function_overloads: 2023-07-07T19:59:25.2449574Z - onnx_args: 2023-07-07T19:59:25.2449752Z - onnx_kwargs: 2023-07-07T19:59:25.2450295Z - diagnostic_context: 2023-07-07T19:59:25.2450555Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2450988Z [2023-07-07 19:57:10,774] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2451213Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2451221Z 2023-07-07T19:59:25.2451514Z [2023-07-07 19:57:10,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2451810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2451835Z 2023-07-07T19:59:25.2452096Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2452498Z - self: 2023-07-07T19:59:25.2452824Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2453002Z - aten_name: 2023-07-07T19:59:25.2453201Z - function_overloads: 2023-07-07T19:59:25.2453377Z - onnx_args: 2023-07-07T19:59:25.2453557Z - onnx_kwargs: 2023-07-07T19:59:25.2454004Z - diagnostic_context: 2023-07-07T19:59:25.2454265Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2454704Z [2023-07-07 19:57:10,837] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2454929Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2454937Z 2023-07-07T19:59:25.2455238Z [2023-07-07 19:57:10,837] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2455540Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2455554Z 2023-07-07T19:59:25.2455829Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2456235Z - self: 2023-07-07T19:59:25.2456567Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2456725Z - aten_name: 2023-07-07T19:59:25.2456936Z - function_overloads: 2023-07-07T19:59:25.2457108Z - onnx_args: 2023-07-07T19:59:25.2457285Z - onnx_kwargs: 2023-07-07T19:59:25.2457707Z - diagnostic_context: 2023-07-07T19:59:25.2457978Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2458334Z [2023-07-07 19:57:10,894] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2458492Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2458501Z 2023-07-07T19:59:25.2458687Z [2023-07-07 19:57:10,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2458888Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2458894Z 2023-07-07T19:59:25.2459078Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2459346Z - self: 2023-07-07T19:59:25.2459645Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2459763Z - aten_name: 2023-07-07T19:59:25.2459894Z - function_overloads: 2023-07-07T19:59:25.2460010Z - onnx_args: 2023-07-07T19:59:25.2460113Z - onnx_kwargs: 2023-07-07T19:59:25.2460416Z - diagnostic_context: 2023-07-07T19:59:25.2460643Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2460927Z [2023-07-07 19:57:10,996] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2461077Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2461084Z 2023-07-07T19:59:25.2461282Z [2023-07-07 19:57:10,996] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2461493Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2461499Z 2023-07-07T19:59:25.2461684Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2461952Z - self: 2023-07-07T19:59:25.2462154Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2462274Z - aten_name: 2023-07-07T19:59:25.2462454Z - function_overloads: 2023-07-07T19:59:25.2462597Z - onnx_args: 2023-07-07T19:59:25.2462717Z - onnx_kwargs: 2023-07-07T19:59:25.2463023Z - diagnostic_context: 2023-07-07T19:59:25.2463191Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2463474Z [2023-07-07 19:57:11,076] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2463613Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2463619Z 2023-07-07T19:59:25.2463816Z [2023-07-07 19:57:11,076] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2464019Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2464030Z 2023-07-07T19:59:25.2464212Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2464479Z - self: 2023-07-07T19:59:25.2464694Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2464807Z - aten_name: 2023-07-07T19:59:25.2464940Z - function_overloads: 2023-07-07T19:59:25.2465043Z - onnx_args: 2023-07-07T19:59:25.2465162Z - onnx_kwargs: 2023-07-07T19:59:25.2465469Z - diagnostic_context: 2023-07-07T19:59:25.2465635Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2465917Z [2023-07-07 19:57:11,155] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2466063Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2466073Z 2023-07-07T19:59:25.2466268Z [2023-07-07 19:57:11,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2466475Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2466480Z 2023-07-07T19:59:25.2466663Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2466917Z - self: 2023-07-07T19:59:25.2467201Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2467318Z - aten_name: 2023-07-07T19:59:25.2467450Z - function_overloads: 2023-07-07T19:59:25.2467563Z - onnx_args: 2023-07-07T19:59:25.2467678Z - onnx_kwargs: 2023-07-07T19:59:25.2467980Z - diagnostic_context: 2023-07-07T19:59:25.2468190Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2468473Z [2023-07-07 19:57:11,244] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2468621Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2468627Z 2023-07-07T19:59:25.2468822Z [2023-07-07 19:57:11,244] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2469030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2469036Z 2023-07-07T19:59:25.2469219Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2469486Z - self: 2023-07-07T19:59:25.2469704Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2469822Z - aten_name: 2023-07-07T19:59:25.2469941Z - function_overloads: 2023-07-07T19:59:25.2470054Z - onnx_args: 2023-07-07T19:59:25.2470170Z - onnx_kwargs: 2023-07-07T19:59:25.2470476Z - diagnostic_context: 2023-07-07T19:59:25.2470643Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2470924Z [2023-07-07 19:57:11,338] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2471076Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2471082Z 2023-07-07T19:59:25.2471278Z [2023-07-07 19:57:11,339] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2471468Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2471486Z 2023-07-07T19:59:25.2471660Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2471925Z - self: 2023-07-07T19:59:25.2472140Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2472253Z - aten_name: 2023-07-07T19:59:25.2472385Z - function_overloads: 2023-07-07T19:59:25.2472502Z - onnx_args: 2023-07-07T19:59:25.2472618Z - onnx_kwargs: 2023-07-07T19:59:25.2472914Z - diagnostic_context: 2023-07-07T19:59:25.2473084Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2473366Z [2023-07-07 19:57:11,422] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2473515Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2473525Z 2023-07-07T19:59:25.2473721Z [2023-07-07 19:57:11,422] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2473920Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2473926Z 2023-07-07T19:59:25.2474111Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2474378Z - self: 2023-07-07T19:59:25.2474809Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2474919Z - aten_name: 2023-07-07T19:59:25.2475052Z - function_overloads: 2023-07-07T19:59:25.2475169Z - onnx_args: 2023-07-07T19:59:25.2475287Z - onnx_kwargs: 2023-07-07T19:59:25.2475594Z - diagnostic_context: 2023-07-07T19:59:25.2475859Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2476148Z [2023-07-07 19:57:11,501] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2476299Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2476305Z 2023-07-07T19:59:25.2476488Z [2023-07-07 19:57:11,501] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2476690Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2476700Z 2023-07-07T19:59:25.2476883Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2477154Z - self: 2023-07-07T19:59:25.2477367Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2477488Z - aten_name: 2023-07-07T19:59:25.2477621Z - function_overloads: 2023-07-07T19:59:25.2477737Z - onnx_args: 2023-07-07T19:59:25.2477840Z - onnx_kwargs: 2023-07-07T19:59:25.2478145Z - diagnostic_context: 2023-07-07T19:59:25.2478314Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2478596Z [2023-07-07 19:57:11,585] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2478747Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2478754Z 2023-07-07T19:59:25.2478949Z [2023-07-07 19:57:11,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2479149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2479155Z 2023-07-07T19:59:25.2479337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2479610Z - self: 2023-07-07T19:59:25.2479812Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2479923Z - aten_name: 2023-07-07T19:59:25.2480057Z - function_overloads: 2023-07-07T19:59:25.2480170Z - onnx_args: 2023-07-07T19:59:25.2480285Z - onnx_kwargs: 2023-07-07T19:59:25.2480596Z - diagnostic_context: 2023-07-07T19:59:25.2480763Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2481032Z [2023-07-07 19:57:11,661] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2481180Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2481190Z 2023-07-07T19:59:25.2481384Z [2023-07-07 19:57:11,661] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2481586Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2481592Z 2023-07-07T19:59:25.2481773Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2482040Z - self: 2023-07-07T19:59:25.2482253Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2482420Z - aten_name: 2023-07-07T19:59:25.2482554Z - function_overloads: 2023-07-07T19:59:25.2482657Z - onnx_args: 2023-07-07T19:59:25.2482773Z - onnx_kwargs: 2023-07-07T19:59:25.2483077Z - diagnostic_context: 2023-07-07T19:59:25.2483297Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2483580Z [2023-07-07 19:57:11,715] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2483731Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2483736Z 2023-07-07T19:59:25.2483930Z [2023-07-07 19:57:11,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2484131Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2484137Z 2023-07-07T19:59:25.2484324Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2484728Z - self: 2023-07-07T19:59:25.2484950Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2485065Z - aten_name: 2023-07-07T19:59:25.2485202Z - function_overloads: 2023-07-07T19:59:25.2485320Z - onnx_args: 2023-07-07T19:59:25.2485438Z - onnx_kwargs: 2023-07-07T19:59:25.2485746Z - diagnostic_context: 2023-07-07T19:59:25.2485900Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2486185Z [2023-07-07 19:57:11,765] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2486333Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2486343Z 2023-07-07T19:59:25.2486542Z [2023-07-07 19:57:11,765] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2486745Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2486751Z 2023-07-07T19:59:25.2486935Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2487210Z - self: 2023-07-07T19:59:25.2487427Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2487540Z - aten_name: 2023-07-07T19:59:25.2487659Z - function_overloads: 2023-07-07T19:59:25.2487773Z - onnx_args: 2023-07-07T19:59:25.2487889Z - onnx_kwargs: 2023-07-07T19:59:25.2488192Z - diagnostic_context: 2023-07-07T19:59:25.2488363Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2488646Z [2023-07-07 19:57:11,822] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2488794Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2488800Z 2023-07-07T19:59:25.2489000Z [2023-07-07 19:57:11,822] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2489187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2489193Z 2023-07-07T19:59:25.2489373Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2489641Z - self: 2023-07-07T19:59:25.2489852Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2490054Z - aten_name: 2023-07-07T19:59:25.2490190Z - function_overloads: 2023-07-07T19:59:25.2490308Z - onnx_args: 2023-07-07T19:59:25.2490425Z - onnx_kwargs: 2023-07-07T19:59:25.2490719Z - diagnostic_context: 2023-07-07T19:59:25.2490888Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2491245Z [2023-07-07 19:57:11,899] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2491392Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2491397Z 2023-07-07T19:59:25.2491592Z [2023-07-07 19:57:11,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2491794Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2491800Z 2023-07-07T19:59:25.2491986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2492253Z - self: 2023-07-07T19:59:25.2492467Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2492568Z - aten_name: 2023-07-07T19:59:25.2492703Z - function_overloads: 2023-07-07T19:59:25.2492815Z - onnx_args: 2023-07-07T19:59:25.2492931Z - onnx_kwargs: 2023-07-07T19:59:25.2493235Z - diagnostic_context: 2023-07-07T19:59:25.2493404Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2493687Z [2023-07-07 19:57:11,973] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2493822Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2493843Z 2023-07-07T19:59:25.2494029Z [2023-07-07 19:57:11,973] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2494233Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2494239Z 2023-07-07T19:59:25.2494419Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2494691Z - self: 2023-07-07T19:59:25.2494910Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2495023Z - aten_name: 2023-07-07T19:59:25.2495154Z - function_overloads: 2023-07-07T19:59:25.2495270Z - onnx_args: 2023-07-07T19:59:25.2495373Z - onnx_kwargs: 2023-07-07T19:59:25.2495676Z - diagnostic_context: 2023-07-07T19:59:25.2495846Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2496125Z [2023-07-07 19:57:12,029] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2496270Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2496276Z 2023-07-07T19:59:25.2496472Z [2023-07-07 19:57:12,029] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2496679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2496685Z 2023-07-07T19:59:25.2496870Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2497136Z - self: 2023-07-07T19:59:25.2497337Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2497451Z - aten_name: 2023-07-07T19:59:25.2497638Z - function_overloads: 2023-07-07T19:59:25.2497754Z - onnx_args: 2023-07-07T19:59:25.2497873Z - onnx_kwargs: 2023-07-07T19:59:25.2498178Z - diagnostic_context: 2023-07-07T19:59:25.2498348Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2498688Z [2023-07-07 19:57:12,081] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2498837Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2498843Z 2023-07-07T19:59:25.2499039Z [2023-07-07 19:57:12,081] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2499242Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2499247Z 2023-07-07T19:59:25.2499435Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2499704Z - self: 2023-07-07T19:59:25.2499922Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2500037Z - aten_name: 2023-07-07T19:59:25.2500170Z - function_overloads: 2023-07-07T19:59:25.2500278Z - onnx_args: 2023-07-07T19:59:25.2500396Z - onnx_kwargs: 2023-07-07T19:59:25.2500703Z - diagnostic_context: 2023-07-07T19:59:25.2500871Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2501156Z [2023-07-07 19:57:12,136] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2501306Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2501312Z 2023-07-07T19:59:25.2501513Z [2023-07-07 19:57:12,136] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2501724Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2501730Z 2023-07-07T19:59:25.2501898Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2502174Z - self: 2023-07-07T19:59:25.2502390Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2502503Z - aten_name: 2023-07-07T19:59:25.2502635Z - function_overloads: 2023-07-07T19:59:25.2502753Z - onnx_args: 2023-07-07T19:59:25.2502871Z - onnx_kwargs: 2023-07-07T19:59:25.2503174Z - diagnostic_context: 2023-07-07T19:59:25.2503333Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2503619Z [2023-07-07 19:57:12,184] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2503769Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2503774Z 2023-07-07T19:59:25.2503971Z [2023-07-07 19:57:12,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2504177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2504182Z 2023-07-07T19:59:25.2504364Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2504634Z - self: 2023-07-07T19:59:25.2504849Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2504964Z - aten_name: 2023-07-07T19:59:25.2505139Z - function_overloads: 2023-07-07T19:59:25.2505256Z - onnx_args: 2023-07-07T19:59:25.2505376Z - onnx_kwargs: 2023-07-07T19:59:25.2505681Z - diagnostic_context: 2023-07-07T19:59:25.2505850Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2506189Z [2023-07-07 19:57:12,234] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2506339Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2506344Z 2023-07-07T19:59:25.2506528Z [2023-07-07 19:57:12,234] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2506731Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2506737Z 2023-07-07T19:59:25.2506925Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2507193Z - self: 2023-07-07T19:59:25.2507408Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2507523Z - aten_name: 2023-07-07T19:59:25.2507656Z - function_overloads: 2023-07-07T19:59:25.2507776Z - onnx_args: 2023-07-07T19:59:25.2507880Z - onnx_kwargs: 2023-07-07T19:59:25.2508184Z - diagnostic_context: 2023-07-07T19:59:25.2508351Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2508636Z [2023-07-07 19:57:12,285] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2508784Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2508789Z 2023-07-07T19:59:25.2508988Z [2023-07-07 19:57:12,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2509189Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2509195Z 2023-07-07T19:59:25.2509377Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2509646Z - self: 2023-07-07T19:59:25.2509851Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2509965Z - aten_name: 2023-07-07T19:59:25.2510097Z - function_overloads: 2023-07-07T19:59:25.2510214Z - onnx_args: 2023-07-07T19:59:25.2510331Z - onnx_kwargs: 2023-07-07T19:59:25.2510636Z - diagnostic_context: 2023-07-07T19:59:25.2510809Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2511095Z [2023-07-07 19:57:12,341] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2511231Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2511237Z 2023-07-07T19:59:25.2511435Z [2023-07-07 19:57:12,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2511643Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2511649Z 2023-07-07T19:59:25.2511831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2512098Z - self: 2023-07-07T19:59:25.2512314Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2512430Z - aten_name: 2023-07-07T19:59:25.2512561Z - function_overloads: 2023-07-07T19:59:25.2512722Z - onnx_args: 2023-07-07T19:59:25.2512840Z - onnx_kwargs: 2023-07-07T19:59:25.2513143Z - diagnostic_context: 2023-07-07T19:59:25.2513313Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2513598Z [2023-07-07 19:57:12,390] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2513801Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2513806Z 2023-07-07T19:59:25.2514003Z [2023-07-07 19:57:12,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2514204Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2514210Z 2023-07-07T19:59:25.2514393Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2514736Z - self: 2023-07-07T19:59:25.2514955Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2515070Z - aten_name: 2023-07-07T19:59:25.2515203Z - function_overloads: 2023-07-07T19:59:25.2515323Z - onnx_args: 2023-07-07T19:59:25.2515444Z - onnx_kwargs: 2023-07-07T19:59:25.2515753Z - diagnostic_context: 2023-07-07T19:59:25.2515923Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2516193Z [2023-07-07 19:57:12,440] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2516343Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2516349Z 2023-07-07T19:59:25.2516551Z [2023-07-07 19:57:12,440] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2516753Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2516759Z 2023-07-07T19:59:25.2516943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2517214Z - self: 2023-07-07T19:59:25.2517433Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2517547Z - aten_name: 2023-07-07T19:59:25.2517667Z - function_overloads: 2023-07-07T19:59:25.2517782Z - onnx_args: 2023-07-07T19:59:25.2517901Z - onnx_kwargs: 2023-07-07T19:59:25.2518203Z - diagnostic_context: 2023-07-07T19:59:25.2518371Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2518658Z [2023-07-07 19:57:12,493] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2518805Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2518811Z 2023-07-07T19:59:25.2519007Z [2023-07-07 19:57:12,493] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2519194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2519219Z 2023-07-07T19:59:25.2519389Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2519657Z - self: 2023-07-07T19:59:25.2519871Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2519985Z - aten_name: 2023-07-07T19:59:25.2520115Z - function_overloads: 2023-07-07T19:59:25.2520298Z - onnx_args: 2023-07-07T19:59:25.2520417Z - onnx_kwargs: 2023-07-07T19:59:25.2520708Z - diagnostic_context: 2023-07-07T19:59:25.2520877Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2521160Z [2023-07-07 19:57:12,555] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2521365Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2521371Z 2023-07-07T19:59:25.2521567Z [2023-07-07 19:57:12,556] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2521771Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2521776Z 2023-07-07T19:59:25.2521960Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2522234Z - self: 2023-07-07T19:59:25.2522451Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2522551Z - aten_name: 2023-07-07T19:59:25.2522684Z - function_overloads: 2023-07-07T19:59:25.2522800Z - onnx_args: 2023-07-07T19:59:25.2522922Z - onnx_kwargs: 2023-07-07T19:59:25.2523228Z - diagnostic_context: 2023-07-07T19:59:25.2523397Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2523679Z [2023-07-07 19:57:12,644] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2523828Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2523834Z 2023-07-07T19:59:25.2524018Z [2023-07-07 19:57:12,644] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2524222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2524228Z 2023-07-07T19:59:25.2524536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2524813Z - self: 2023-07-07T19:59:25.2525037Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2525153Z - aten_name: 2023-07-07T19:59:25.2525286Z - function_overloads: 2023-07-07T19:59:25.2525401Z - onnx_args: 2023-07-07T19:59:25.2525504Z - onnx_kwargs: 2023-07-07T19:59:25.2525810Z - diagnostic_context: 2023-07-07T19:59:25.2525980Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2526268Z [2023-07-07 19:57:12,737] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2526418Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2526424Z 2023-07-07T19:59:25.2526621Z [2023-07-07 19:57:12,738] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2526824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2526835Z 2023-07-07T19:59:25.2527019Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2527287Z - self: 2023-07-07T19:59:25.2527487Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2527601Z - aten_name: 2023-07-07T19:59:25.2527732Z - function_overloads: 2023-07-07T19:59:25.2527849Z - onnx_args: 2023-07-07T19:59:25.2528067Z - onnx_kwargs: 2023-07-07T19:59:25.2528377Z - diagnostic_context: 2023-07-07T19:59:25.2528546Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2528831Z [2023-07-07 19:57:12,825] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2529035Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2529041Z 2023-07-07T19:59:25.2529239Z [2023-07-07 19:57:12,825] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2529438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2529444Z 2023-07-07T19:59:25.2529627Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2529903Z - self: 2023-07-07T19:59:25.2530118Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2530233Z - aten_name: 2023-07-07T19:59:25.2530363Z - function_overloads: 2023-07-07T19:59:25.2530466Z - onnx_args: 2023-07-07T19:59:25.2530582Z - onnx_kwargs: 2023-07-07T19:59:25.2530892Z - diagnostic_context: 2023-07-07T19:59:25.2531059Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2531340Z [2023-07-07 19:57:12,915] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2531489Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2531494Z 2023-07-07T19:59:25.2531691Z [2023-07-07 19:57:12,915] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2531898Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2531904Z 2023-07-07T19:59:25.2532089Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2532344Z - self: 2023-07-07T19:59:25.2532562Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2532677Z - aten_name: 2023-07-07T19:59:25.2532809Z - function_overloads: 2023-07-07T19:59:25.2532925Z - onnx_args: 2023-07-07T19:59:25.2533043Z - onnx_kwargs: 2023-07-07T19:59:25.2533348Z - diagnostic_context: 2023-07-07T19:59:25.2533503Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2533791Z [2023-07-07 19:57:13,002] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2533938Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2533944Z 2023-07-07T19:59:25.2534143Z [2023-07-07 19:57:13,002] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2534369Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2534381Z 2023-07-07T19:59:25.2534656Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2535066Z - self: 2023-07-07T19:59:25.2535398Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2535569Z - aten_name: 2023-07-07T19:59:25.2535756Z - function_overloads: 2023-07-07T19:59:25.2535931Z - onnx_args: 2023-07-07T19:59:25.2536211Z - onnx_kwargs: 2023-07-07T19:59:25.2536679Z - diagnostic_context: 2023-07-07T19:59:25.2536935Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2537371Z [2023-07-07 19:57:13,097] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2537658Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2537666Z 2023-07-07T19:59:25.2537967Z [2023-07-07 19:57:13,097] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2538256Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2538281Z 2023-07-07T19:59:25.2538539Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2538954Z - self: 2023-07-07T19:59:25.2539285Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2539456Z - aten_name: 2023-07-07T19:59:25.2539658Z - function_overloads: 2023-07-07T19:59:25.2539835Z - onnx_args: 2023-07-07T19:59:25.2540015Z - onnx_kwargs: 2023-07-07T19:59:25.2540464Z - diagnostic_context: 2023-07-07T19:59:25.2540722Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2541150Z [2023-07-07 19:57:13,184] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2541371Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2541379Z 2023-07-07T19:59:25.2541682Z [2023-07-07 19:57:13,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2541988Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2541996Z 2023-07-07T19:59:25.2542270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2542676Z - self: 2023-07-07T19:59:25.2543003Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2543166Z - aten_name: 2023-07-07T19:59:25.2543368Z - function_overloads: 2023-07-07T19:59:25.2543543Z - onnx_args: 2023-07-07T19:59:25.2543719Z - onnx_kwargs: 2023-07-07T19:59:25.2544181Z - diagnostic_context: 2023-07-07T19:59:25.2544441Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2544877Z [2023-07-07 19:57:13,274] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2545099Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2545107Z 2023-07-07T19:59:25.2545391Z [2023-07-07 19:57:13,274] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2545694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2545708Z 2023-07-07T19:59:25.2545984Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2546387Z - self: 2023-07-07T19:59:25.2546712Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2546882Z - aten_name: 2023-07-07T19:59:25.2547085Z - function_overloads: 2023-07-07T19:59:25.2547259Z - onnx_args: 2023-07-07T19:59:25.2547424Z - onnx_kwargs: 2023-07-07T19:59:25.2547953Z - diagnostic_context: 2023-07-07T19:59:25.2548213Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2548646Z [2023-07-07 19:57:13,352] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2548866Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2548933Z 2023-07-07T19:59:25.2549231Z [2023-07-07 19:57:13,352] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2549534Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2549542Z 2023-07-07T19:59:25.2549815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2550222Z - self: 2023-07-07T19:59:25.2550539Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2550710Z - aten_name: 2023-07-07T19:59:25.2550913Z - function_overloads: 2023-07-07T19:59:25.2551086Z - onnx_args: 2023-07-07T19:59:25.2551265Z - onnx_kwargs: 2023-07-07T19:59:25.2551728Z - diagnostic_context: 2023-07-07T19:59:25.2551986Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2552088Z PASSED [3.3899s] [ 44%] 2023-07-07T19:59:25.2552895Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_int8 [2023-07-07 19:57:13,490] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2553120Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2553128Z 2023-07-07T19:59:25.2553434Z [2023-07-07 19:57:13,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2553740Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2553749Z 2023-07-07T19:59:25.2554023Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2554436Z - self: 2023-07-07T19:59:25.2554875Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2555053Z - aten_name: 2023-07-07T19:59:25.2555241Z - function_overloads: 2023-07-07T19:59:25.2555417Z - onnx_args: 2023-07-07T19:59:25.2555597Z - onnx_kwargs: 2023-07-07T19:59:25.2556060Z - diagnostic_context: 2023-07-07T19:59:25.2556325Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2556763Z [2023-07-07 19:57:13,540] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2556987Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2556995Z 2023-07-07T19:59:25.2557291Z [2023-07-07 19:57:13,540] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2557586Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2557610Z 2023-07-07T19:59:25.2557870Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2558277Z - self: 2023-07-07T19:59:25.2558607Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2558778Z - aten_name: 2023-07-07T19:59:25.2559064Z - function_overloads: 2023-07-07T19:59:25.2559243Z - onnx_args: 2023-07-07T19:59:25.2559420Z - onnx_kwargs: 2023-07-07T19:59:25.2559869Z - diagnostic_context: 2023-07-07T19:59:25.2560124Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2560555Z [2023-07-07 19:57:13,593] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2560862Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2560871Z 2023-07-07T19:59:25.2561170Z [2023-07-07 19:57:13,593] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2561475Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2561483Z 2023-07-07T19:59:25.2561758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2562171Z - self: 2023-07-07T19:59:25.2562499Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2562658Z - aten_name: 2023-07-07T19:59:25.2562857Z - function_overloads: 2023-07-07T19:59:25.2563031Z - onnx_args: 2023-07-07T19:59:25.2563219Z - onnx_kwargs: 2023-07-07T19:59:25.2563678Z - diagnostic_context: 2023-07-07T19:59:25.2563932Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2564367Z [2023-07-07 19:57:13,641] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2564688Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2564698Z 2023-07-07T19:59:25.2565000Z [2023-07-07 19:57:13,641] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2565303Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2565311Z 2023-07-07T19:59:25.2565587Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2565993Z - self: 2023-07-07T19:59:25.2566328Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2566502Z - aten_name: 2023-07-07T19:59:25.2566706Z - function_overloads: 2023-07-07T19:59:25.2566884Z - onnx_args: 2023-07-07T19:59:25.2567047Z - onnx_kwargs: 2023-07-07T19:59:25.2567522Z - diagnostic_context: 2023-07-07T19:59:25.2567776Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2568219Z [2023-07-07 19:57:13,691] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2568443Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2568451Z 2023-07-07T19:59:25.2568750Z [2023-07-07 19:57:13,691] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2569062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2569071Z 2023-07-07T19:59:25.2569347Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2569757Z - self: 2023-07-07T19:59:25.2570070Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2570241Z - aten_name: 2023-07-07T19:59:25.2570445Z - function_overloads: 2023-07-07T19:59:25.2570743Z - onnx_args: 2023-07-07T19:59:25.2570927Z - onnx_kwargs: 2023-07-07T19:59:25.2571389Z - diagnostic_context: 2023-07-07T19:59:25.2571647Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2572066Z [2023-07-07 19:57:13,743] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2572385Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2572393Z 2023-07-07T19:59:25.2572691Z [2023-07-07 19:57:13,743] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2572997Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2573005Z 2023-07-07T19:59:25.2573282Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2573697Z - self: 2023-07-07T19:59:25.2574030Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2574200Z - aten_name: 2023-07-07T19:59:25.2574403Z - function_overloads: 2023-07-07T19:59:25.2574563Z - onnx_args: 2023-07-07T19:59:25.2574758Z - onnx_kwargs: 2023-07-07T19:59:25.2575221Z - diagnostic_context: 2023-07-07T19:59:25.2575475Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2575842Z [2023-07-07 19:57:13,798] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2576068Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2576077Z 2023-07-07T19:59:25.2576368Z [2023-07-07 19:57:13,799] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2576578Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2576584Z 2023-07-07T19:59:25.2576769Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2577043Z - self: 2023-07-07T19:59:25.2577261Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2577373Z - aten_name: 2023-07-07T19:59:25.2577505Z - function_overloads: 2023-07-07T19:59:25.2577607Z - onnx_args: 2023-07-07T19:59:25.2577724Z - onnx_kwargs: 2023-07-07T19:59:25.2578027Z - diagnostic_context: 2023-07-07T19:59:25.2578195Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2578483Z [2023-07-07 19:57:13,847] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2578630Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2578635Z 2023-07-07T19:59:25.2578830Z [2023-07-07 19:57:13,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2579030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2579039Z 2023-07-07T19:59:25.2579221Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2579475Z - self: 2023-07-07T19:59:25.2579690Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2579804Z - aten_name: 2023-07-07T19:59:25.2579935Z - function_overloads: 2023-07-07T19:59:25.2580129Z - onnx_args: 2023-07-07T19:59:25.2580248Z - onnx_kwargs: 2023-07-07T19:59:25.2580554Z - diagnostic_context: 2023-07-07T19:59:25.2580709Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2580992Z [2023-07-07 19:57:13,916] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2581196Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2581202Z 2023-07-07T19:59:25.2581397Z [2023-07-07 19:57:13,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2581599Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2581604Z 2023-07-07T19:59:25.2581787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2582056Z - self: 2023-07-07T19:59:25.2582267Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2582379Z - aten_name: 2023-07-07T19:59:25.2582498Z - function_overloads: 2023-07-07T19:59:25.2582613Z - onnx_args: 2023-07-07T19:59:25.2582729Z - onnx_kwargs: 2023-07-07T19:59:25.2583036Z - diagnostic_context: 2023-07-07T19:59:25.2583204Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2583484Z [2023-07-07 19:57:13,971] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2583633Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2583639Z 2023-07-07T19:59:25.2583833Z [2023-07-07 19:57:13,971] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2584027Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2584032Z 2023-07-07T19:59:25.2584213Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2584479Z - self: 2023-07-07T19:59:25.2584700Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2584813Z - aten_name: 2023-07-07T19:59:25.2584944Z - function_overloads: 2023-07-07T19:59:25.2585061Z - onnx_args: 2023-07-07T19:59:25.2585178Z - onnx_kwargs: 2023-07-07T19:59:25.2585468Z - diagnostic_context: 2023-07-07T19:59:25.2585635Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2585921Z [2023-07-07 19:57:14,049] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2586069Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2586075Z 2023-07-07T19:59:25.2586271Z [2023-07-07 19:57:14,050] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2586473Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2586483Z 2023-07-07T19:59:25.2586664Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2586931Z - self: 2023-07-07T19:59:25.2587145Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2587246Z - aten_name: 2023-07-07T19:59:25.2587377Z - function_overloads: 2023-07-07T19:59:25.2587491Z - onnx_args: 2023-07-07T19:59:25.2587665Z - onnx_kwargs: 2023-07-07T19:59:25.2587970Z - diagnostic_context: 2023-07-07T19:59:25.2588138Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2588418Z [2023-07-07 19:57:14,149] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2588611Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2588629Z 2023-07-07T19:59:25.2588813Z [2023-07-07 19:57:14,149] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2589010Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2589016Z 2023-07-07T19:59:25.2589196Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2589467Z - self: 2023-07-07T19:59:25.2589679Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2589793Z - aten_name: 2023-07-07T19:59:25.2589925Z - function_overloads: 2023-07-07T19:59:25.2590040Z - onnx_args: 2023-07-07T19:59:25.2590144Z - onnx_kwargs: 2023-07-07T19:59:25.2590451Z - diagnostic_context: 2023-07-07T19:59:25.2590618Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2590901Z [2023-07-07 19:57:14,208] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2591049Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2591054Z 2023-07-07T19:59:25.2591249Z [2023-07-07 19:57:14,208] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2591454Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2591460Z 2023-07-07T19:59:25.2591643Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2591911Z - self: 2023-07-07T19:59:25.2592116Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2592227Z - aten_name: 2023-07-07T19:59:25.2592358Z - function_overloads: 2023-07-07T19:59:25.2592472Z - onnx_args: 2023-07-07T19:59:25.2592588Z - onnx_kwargs: 2023-07-07T19:59:25.2592890Z - diagnostic_context: 2023-07-07T19:59:25.2593058Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2593333Z [2023-07-07 19:57:14,261] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2593481Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2593486Z 2023-07-07T19:59:25.2593682Z [2023-07-07 19:57:14,261] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2593883Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2593892Z 2023-07-07T19:59:25.2594073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2594337Z - self: 2023-07-07T19:59:25.2594629Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2594769Z - aten_name: 2023-07-07T19:59:25.2594943Z - function_overloads: 2023-07-07T19:59:25.2595047Z - onnx_args: 2023-07-07T19:59:25.2595162Z - onnx_kwargs: 2023-07-07T19:59:25.2595543Z - diagnostic_context: 2023-07-07T19:59:25.2595712Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2595995Z [2023-07-07 19:57:14,316] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2596199Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2596205Z 2023-07-07T19:59:25.2596402Z [2023-07-07 19:57:14,316] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2596605Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2596611Z 2023-07-07T19:59:25.2596782Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2597049Z - self: 2023-07-07T19:59:25.2597269Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2597385Z - aten_name: 2023-07-07T19:59:25.2597516Z - function_overloads: 2023-07-07T19:59:25.2597631Z - onnx_args: 2023-07-07T19:59:25.2597747Z - onnx_kwargs: 2023-07-07T19:59:25.2598047Z - diagnostic_context: 2023-07-07T19:59:25.2598206Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2598490Z [2023-07-07 19:57:14,366] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2598637Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2598643Z 2023-07-07T19:59:25.2598836Z [2023-07-07 19:57:14,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2599041Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2599047Z 2023-07-07T19:59:25.2599228Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2599493Z - self: 2023-07-07T19:59:25.2599706Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2599822Z - aten_name: 2023-07-07T19:59:25.2599941Z - function_overloads: 2023-07-07T19:59:25.2600055Z - onnx_args: 2023-07-07T19:59:25.2600172Z - onnx_kwargs: 2023-07-07T19:59:25.2600474Z - diagnostic_context: 2023-07-07T19:59:25.2600641Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2600922Z [2023-07-07 19:57:14,415] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2601073Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2601079Z 2023-07-07T19:59:25.2601262Z [2023-07-07 19:57:14,415] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2601463Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2601473Z 2023-07-07T19:59:25.2601656Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2601922Z - self: 2023-07-07T19:59:25.2602135Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2602246Z - aten_name: 2023-07-07T19:59:25.2602379Z - function_overloads: 2023-07-07T19:59:25.2602493Z - onnx_args: 2023-07-07T19:59:25.2602597Z - onnx_kwargs: 2023-07-07T19:59:25.2602961Z - diagnostic_context: 2023-07-07T19:59:25.2603130Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2603411Z [2023-07-07 19:57:14,469] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2603558Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2603614Z 2023-07-07T19:59:25.2603810Z [2023-07-07 19:57:14,469] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2604011Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2604017Z 2023-07-07T19:59:25.2604200Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2604610Z - self: 2023-07-07T19:59:25.2604834Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2604948Z - aten_name: 2023-07-07T19:59:25.2605078Z - function_overloads: 2023-07-07T19:59:25.2605191Z - onnx_args: 2023-07-07T19:59:25.2605308Z - onnx_kwargs: 2023-07-07T19:59:25.2605612Z - diagnostic_context: 2023-07-07T19:59:25.2605785Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2606068Z [2023-07-07 19:57:14,544] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2606202Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2606208Z 2023-07-07T19:59:25.2606403Z [2023-07-07 19:57:14,545] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2606608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2606614Z 2023-07-07T19:59:25.2606797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2607063Z - self: 2023-07-07T19:59:25.2607279Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2607395Z - aten_name: 2023-07-07T19:59:25.2607526Z - function_overloads: 2023-07-07T19:59:25.2607628Z - onnx_args: 2023-07-07T19:59:25.2607743Z - onnx_kwargs: 2023-07-07T19:59:25.2608043Z - diagnostic_context: 2023-07-07T19:59:25.2608209Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2608491Z [2023-07-07 19:57:14,615] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2608640Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2608646Z 2023-07-07T19:59:25.2608841Z [2023-07-07 19:57:14,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2609041Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2609051Z 2023-07-07T19:59:25.2609231Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2609484Z - self: 2023-07-07T19:59:25.2609698Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2609809Z - aten_name: 2023-07-07T19:59:25.2609939Z - function_overloads: 2023-07-07T19:59:25.2610052Z - onnx_args: 2023-07-07T19:59:25.2610168Z - onnx_kwargs: 2023-07-07T19:59:25.2610608Z - diagnostic_context: 2023-07-07T19:59:25.2610778Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2611052Z [2023-07-07 19:57:14,695] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2611199Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2611271Z 2023-07-07T19:59:25.2611469Z [2023-07-07 19:57:14,695] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2611670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2611676Z 2023-07-07T19:59:25.2611859Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2612126Z - self: 2023-07-07T19:59:25.2612342Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2612456Z - aten_name: 2023-07-07T19:59:25.2612574Z - function_overloads: 2023-07-07T19:59:25.2612688Z - onnx_args: 2023-07-07T19:59:25.2612803Z - onnx_kwargs: 2023-07-07T19:59:25.2613106Z - diagnostic_context: 2023-07-07T19:59:25.2613277Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2613561Z [2023-07-07 19:57:14,770] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2613709Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2613714Z 2023-07-07T19:59:25.2613908Z [2023-07-07 19:57:14,770] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2614096Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2614120Z 2023-07-07T19:59:25.2614288Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2614557Z - self: 2023-07-07T19:59:25.2614773Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2614891Z - aten_name: 2023-07-07T19:59:25.2615023Z - function_overloads: 2023-07-07T19:59:25.2615138Z - onnx_args: 2023-07-07T19:59:25.2615253Z - onnx_kwargs: 2023-07-07T19:59:25.2615544Z - diagnostic_context: 2023-07-07T19:59:25.2615711Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2615992Z [2023-07-07 19:57:14,834] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2616142Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2616148Z 2023-07-07T19:59:25.2616344Z [2023-07-07 19:57:14,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2616545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2616550Z 2023-07-07T19:59:25.2616732Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2617002Z - self: 2023-07-07T19:59:25.2617216Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2617316Z - aten_name: 2023-07-07T19:59:25.2617446Z - function_overloads: 2023-07-07T19:59:25.2617560Z - onnx_args: 2023-07-07T19:59:25.2617675Z - onnx_kwargs: 2023-07-07T19:59:25.2618053Z - diagnostic_context: 2023-07-07T19:59:25.2618224Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2618507Z [2023-07-07 19:57:14,890] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2618654Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2618726Z 2023-07-07T19:59:25.2618909Z [2023-07-07 19:57:14,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2619111Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2619117Z 2023-07-07T19:59:25.2619300Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2619566Z - self: 2023-07-07T19:59:25.2619781Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2619896Z - aten_name: 2023-07-07T19:59:25.2620028Z - function_overloads: 2023-07-07T19:59:25.2620144Z - onnx_args: 2023-07-07T19:59:25.2620248Z - onnx_kwargs: 2023-07-07T19:59:25.2620551Z - diagnostic_context: 2023-07-07T19:59:25.2620723Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2621004Z [2023-07-07 19:57:14,957] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2621149Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2621156Z 2023-07-07T19:59:25.2621352Z [2023-07-07 19:57:14,957] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2621553Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2621559Z 2023-07-07T19:59:25.2621745Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2622011Z - self: 2023-07-07T19:59:25.2622211Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2622323Z - aten_name: 2023-07-07T19:59:25.2622458Z - function_overloads: 2023-07-07T19:59:25.2622572Z - onnx_args: 2023-07-07T19:59:25.2622687Z - onnx_kwargs: 2023-07-07T19:59:25.2622991Z - diagnostic_context: 2023-07-07T19:59:25.2623158Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2623441Z [2023-07-07 19:57:15,023] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2623581Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2623586Z 2023-07-07T19:59:25.2623782Z [2023-07-07 19:57:15,024] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2623980Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2623985Z 2023-07-07T19:59:25.2624168Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2624441Z - self: 2023-07-07T19:59:25.2624656Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2624768Z - aten_name: 2023-07-07T19:59:25.2624898Z - function_overloads: 2023-07-07T19:59:25.2624999Z - onnx_args: 2023-07-07T19:59:25.2625116Z - onnx_kwargs: 2023-07-07T19:59:25.2625485Z - diagnostic_context: 2023-07-07T19:59:25.2625655Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2625934Z [2023-07-07 19:57:15,096] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2626085Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2626091Z 2023-07-07T19:59:25.2626340Z [2023-07-07 19:57:15,096] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2626544Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2626550Z 2023-07-07T19:59:25.2626733Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2626988Z - self: 2023-07-07T19:59:25.2627203Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2627319Z - aten_name: 2023-07-07T19:59:25.2627451Z - function_overloads: 2023-07-07T19:59:25.2627566Z - onnx_args: 2023-07-07T19:59:25.2627681Z - onnx_kwargs: 2023-07-07T19:59:25.2627986Z - diagnostic_context: 2023-07-07T19:59:25.2628139Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2628428Z [2023-07-07 19:57:15,164] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2628575Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2628581Z 2023-07-07T19:59:25.2628779Z [2023-07-07 19:57:15,165] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2628981Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2628987Z 2023-07-07T19:59:25.2629173Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2629440Z - self: 2023-07-07T19:59:25.2629653Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2629766Z - aten_name: 2023-07-07T19:59:25.2629890Z - function_overloads: 2023-07-07T19:59:25.2630006Z - onnx_args: 2023-07-07T19:59:25.2630124Z - onnx_kwargs: 2023-07-07T19:59:25.2630428Z - diagnostic_context: 2023-07-07T19:59:25.2630595Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2630877Z [2023-07-07 19:57:15,232] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2631023Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2631029Z 2023-07-07T19:59:25.2631228Z [2023-07-07 19:57:15,232] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2631416Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2631435Z 2023-07-07T19:59:25.2631605Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2631875Z - self: 2023-07-07T19:59:25.2632088Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2632201Z - aten_name: 2023-07-07T19:59:25.2632332Z - function_overloads: 2023-07-07T19:59:25.2632447Z - onnx_args: 2023-07-07T19:59:25.2632562Z - onnx_kwargs: 2023-07-07T19:59:25.2632854Z - diagnostic_context: 2023-07-07T19:59:25.2633083Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2633368Z [2023-07-07 19:57:15,307] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2633515Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2633521Z 2023-07-07T19:59:25.2633713Z [2023-07-07 19:57:15,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2633974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2633981Z 2023-07-07T19:59:25.2634163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2634429Z - self: 2023-07-07T19:59:25.2634717Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2634819Z - aten_name: 2023-07-07T19:59:25.2634956Z - function_overloads: 2023-07-07T19:59:25.2635071Z - onnx_args: 2023-07-07T19:59:25.2635188Z - onnx_kwargs: 2023-07-07T19:59:25.2635493Z - diagnostic_context: 2023-07-07T19:59:25.2635663Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2635949Z [2023-07-07 19:57:15,594] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2636096Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2636101Z 2023-07-07T19:59:25.2636285Z [2023-07-07 19:57:15,594] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2636487Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2636493Z 2023-07-07T19:59:25.2636679Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2636945Z - self: 2023-07-07T19:59:25.2637160Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2637273Z - aten_name: 2023-07-07T19:59:25.2637403Z - function_overloads: 2023-07-07T19:59:25.2637522Z - onnx_args: 2023-07-07T19:59:25.2637625Z - onnx_kwargs: 2023-07-07T19:59:25.2637925Z - diagnostic_context: 2023-07-07T19:59:25.2638091Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2638374Z [2023-07-07 19:57:15,663] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2638521Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2638527Z 2023-07-07T19:59:25.2638725Z [2023-07-07 19:57:15,663] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2638925Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2638931Z 2023-07-07T19:59:25.2639112Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2639381Z - self: 2023-07-07T19:59:25.2639582Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2639695Z - aten_name: 2023-07-07T19:59:25.2639826Z - function_overloads: 2023-07-07T19:59:25.2639942Z - onnx_args: 2023-07-07T19:59:25.2640058Z - onnx_kwargs: 2023-07-07T19:59:25.2640361Z - diagnostic_context: 2023-07-07T19:59:25.2640594Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2640866Z [2023-07-07 19:57:15,732] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2641012Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2641018Z 2023-07-07T19:59:25.2641212Z [2023-07-07 19:57:15,732] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2641475Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2641481Z 2023-07-07T19:59:25.2641662Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2641930Z - self: 2023-07-07T19:59:25.2642143Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2642256Z - aten_name: 2023-07-07T19:59:25.2642390Z - function_overloads: 2023-07-07T19:59:25.2642493Z - onnx_args: 2023-07-07T19:59:25.2642609Z - onnx_kwargs: 2023-07-07T19:59:25.2642911Z - diagnostic_context: 2023-07-07T19:59:25.2643079Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2643368Z [2023-07-07 19:57:15,799] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2643515Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2643521Z 2023-07-07T19:59:25.2643713Z [2023-07-07 19:57:15,799] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2643916Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2643925Z 2023-07-07T19:59:25.2644110Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2644363Z - self: 2023-07-07T19:59:25.2644727Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2644838Z - aten_name: 2023-07-07T19:59:25.2644970Z - function_overloads: 2023-07-07T19:59:25.2645091Z - onnx_args: 2023-07-07T19:59:25.2645206Z - onnx_kwargs: 2023-07-07T19:59:25.2645509Z - diagnostic_context: 2023-07-07T19:59:25.2645663Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2645947Z [2023-07-07 19:57:15,856] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2646095Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2646101Z 2023-07-07T19:59:25.2646301Z [2023-07-07 19:57:15,856] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2646504Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2646509Z 2023-07-07T19:59:25.2646692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2646959Z - self: 2023-07-07T19:59:25.2647177Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2647290Z - aten_name: 2023-07-07T19:59:25.2647408Z - function_overloads: 2023-07-07T19:59:25.2647521Z - onnx_args: 2023-07-07T19:59:25.2647639Z - onnx_kwargs: 2023-07-07T19:59:25.2647941Z - diagnostic_context: 2023-07-07T19:59:25.2648108Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2648491Z [2023-07-07 19:57:15,904] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2648640Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2648645Z 2023-07-07T19:59:25.2648842Z [2023-07-07 19:57:15,904] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2649096Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2649101Z 2023-07-07T19:59:25.2649284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2649552Z - self: 2023-07-07T19:59:25.2649768Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2649881Z - aten_name: 2023-07-07T19:59:25.2650013Z - function_overloads: 2023-07-07T19:59:25.2650132Z - onnx_args: 2023-07-07T19:59:25.2650250Z - onnx_kwargs: 2023-07-07T19:59:25.2650543Z - diagnostic_context: 2023-07-07T19:59:25.2650711Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2650991Z [2023-07-07 19:57:15,968] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2651143Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2651149Z 2023-07-07T19:59:25.2651344Z [2023-07-07 19:57:15,968] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2651545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2651551Z 2023-07-07T19:59:25.2651733Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2652006Z - self: 2023-07-07T19:59:25.2652222Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2652322Z - aten_name: 2023-07-07T19:59:25.2652452Z - function_overloads: 2023-07-07T19:59:25.2652566Z - onnx_args: 2023-07-07T19:59:25.2652688Z - onnx_kwargs: 2023-07-07T19:59:25.2652991Z - diagnostic_context: 2023-07-07T19:59:25.2653156Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2653438Z [2023-07-07 19:57:16,042] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2653574Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2653591Z 2023-07-07T19:59:25.2653777Z [2023-07-07 19:57:16,042] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2653977Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2653982Z 2023-07-07T19:59:25.2654163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2654429Z - self: 2023-07-07T19:59:25.2654647Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2654760Z - aten_name: 2023-07-07T19:59:25.2654891Z - function_overloads: 2023-07-07T19:59:25.2655004Z - onnx_args: 2023-07-07T19:59:25.2655108Z - onnx_kwargs: 2023-07-07T19:59:25.2655411Z - diagnostic_context: 2023-07-07T19:59:25.2655577Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2655913Z [2023-07-07 19:57:16,123] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2656062Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2656068Z 2023-07-07T19:59:25.2656262Z [2023-07-07 19:57:16,123] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2656461Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2656520Z 2023-07-07T19:59:25.2656703Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2656970Z - self: 2023-07-07T19:59:25.2657172Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2657286Z - aten_name: 2023-07-07T19:59:25.2657417Z - function_overloads: 2023-07-07T19:59:25.2657535Z - onnx_args: 2023-07-07T19:59:25.2657651Z - onnx_kwargs: 2023-07-07T19:59:25.2657952Z - diagnostic_context: 2023-07-07T19:59:25.2658118Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2658388Z [2023-07-07 19:57:16,194] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2658539Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2658545Z 2023-07-07T19:59:25.2658739Z [2023-07-07 19:57:16,194] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2658938Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2658944Z 2023-07-07T19:59:25.2659125Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2659395Z - self: 2023-07-07T19:59:25.2659609Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2659721Z - aten_name: 2023-07-07T19:59:25.2659852Z - function_overloads: 2023-07-07T19:59:25.2659965Z - onnx_args: 2023-07-07T19:59:25.2660152Z - onnx_kwargs: 2023-07-07T19:59:25.2660614Z - diagnostic_context: 2023-07-07T19:59:25.2660872Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2661303Z [2023-07-07 19:57:16,267] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2661523Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2661532Z 2023-07-07T19:59:25.2661833Z [2023-07-07 19:57:16,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2662143Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2662151Z 2023-07-07T19:59:25.2662413Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2662813Z - self: 2023-07-07T19:59:25.2663146Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2663317Z - aten_name: 2023-07-07T19:59:25.2663518Z - function_overloads: 2023-07-07T19:59:25.2663695Z - onnx_args: 2023-07-07T19:59:25.2663873Z - onnx_kwargs: 2023-07-07T19:59:25.2664327Z - diagnostic_context: 2023-07-07T19:59:25.2664568Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2665078Z [2023-07-07 19:57:16,344] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2665301Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2665309Z 2023-07-07T19:59:25.2665607Z [2023-07-07 19:57:16,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2665908Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2666011Z 2023-07-07T19:59:25.2666286Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2666689Z - self: 2023-07-07T19:59:25.2667017Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2667188Z - aten_name: 2023-07-07T19:59:25.2667375Z - function_overloads: 2023-07-07T19:59:25.2667545Z - onnx_args: 2023-07-07T19:59:25.2667730Z - onnx_kwargs: 2023-07-07T19:59:25.2668194Z - diagnostic_context: 2023-07-07T19:59:25.2668449Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2668887Z [2023-07-07 19:57:16,429] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2669114Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2669122Z 2023-07-07T19:59:25.2669405Z [2023-07-07 19:57:16,429] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2669707Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2669715Z 2023-07-07T19:59:25.2669988Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2670403Z - self: 2023-07-07T19:59:25.2670726Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2670899Z - aten_name: 2023-07-07T19:59:25.2671099Z - function_overloads: 2023-07-07T19:59:25.2671273Z - onnx_args: 2023-07-07T19:59:25.2671436Z - onnx_kwargs: 2023-07-07T19:59:25.2671902Z - diagnostic_context: 2023-07-07T19:59:25.2672157Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2672587Z [2023-07-07 19:57:16,509] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2672808Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2672816Z 2023-07-07T19:59:25.2673110Z [2023-07-07 19:57:16,509] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2673413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2673421Z 2023-07-07T19:59:25.2673694Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2674094Z - self: 2023-07-07T19:59:25.2674417Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2674656Z - aten_name: 2023-07-07T19:59:25.2674859Z - function_overloads: 2023-07-07T19:59:25.2675034Z - onnx_args: 2023-07-07T19:59:25.2675211Z - onnx_kwargs: 2023-07-07T19:59:25.2675668Z - diagnostic_context: 2023-07-07T19:59:25.2675926Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2676436Z [2023-07-07 19:57:16,585] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2676643Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2676651Z 2023-07-07T19:59:25.2676952Z [2023-07-07 19:57:16,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2677257Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2677343Z 2023-07-07T19:59:25.2677621Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2678031Z - self: 2023-07-07T19:59:25.2678358Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2678530Z - aten_name: 2023-07-07T19:59:25.2678731Z - function_overloads: 2023-07-07T19:59:25.2678893Z - onnx_args: 2023-07-07T19:59:25.2679073Z - onnx_kwargs: 2023-07-07T19:59:25.2679532Z - diagnostic_context: 2023-07-07T19:59:25.2679786Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2680221Z [2023-07-07 19:57:16,664] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2680448Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2680456Z 2023-07-07T19:59:25.2680751Z [2023-07-07 19:57:16,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2681055Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2681063Z 2023-07-07T19:59:25.2681337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2681734Z - self: 2023-07-07T19:59:25.2682063Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2682234Z - aten_name: 2023-07-07T19:59:25.2682430Z - function_overloads: 2023-07-07T19:59:25.2682604Z - onnx_args: 2023-07-07T19:59:25.2682781Z - onnx_kwargs: 2023-07-07T19:59:25.2683247Z - diagnostic_context: 2023-07-07T19:59:25.2683502Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2683920Z [2023-07-07 19:57:16,722] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2684138Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2684147Z 2023-07-07T19:59:25.2684558Z [2023-07-07 19:57:16,722] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2684874Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2684884Z 2023-07-07T19:59:25.2685160Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2685573Z - self: 2023-07-07T19:59:25.2685901Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2686075Z - aten_name: 2023-07-07T19:59:25.2686263Z - function_overloads: 2023-07-07T19:59:25.2686439Z - onnx_args: 2023-07-07T19:59:25.2686610Z - onnx_kwargs: 2023-07-07T19:59:25.2687074Z - diagnostic_context: 2023-07-07T19:59:25.2687329Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2687869Z [2023-07-07 19:57:16,786] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2688093Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2688101Z 2023-07-07T19:59:25.2688398Z [2023-07-07 19:57:16,787] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2688685Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2688784Z 2023-07-07T19:59:25.2689045Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2689452Z - self: 2023-07-07T19:59:25.2689778Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2689950Z - aten_name: 2023-07-07T19:59:25.2690148Z - function_overloads: 2023-07-07T19:59:25.2690320Z - onnx_args: 2023-07-07T19:59:25.2690499Z - onnx_kwargs: 2023-07-07T19:59:25.2690951Z - diagnostic_context: 2023-07-07T19:59:25.2691201Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2691316Z PASSED [3.4324s] [ 44%] 2023-07-07T19:59:25.2692142Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_constant_pad_nd_cpu_uint8 [2023-07-07 19:57:16,925] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2692368Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2692376Z 2023-07-07T19:59:25.2692671Z [2023-07-07 19:57:16,925] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2692969Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2692977Z 2023-07-07T19:59:25.2693254Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2693658Z - self: 2023-07-07T19:59:25.2693989Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2694149Z - aten_name: 2023-07-07T19:59:25.2694349Z - function_overloads: 2023-07-07T19:59:25.2694525Z - onnx_args: 2023-07-07T19:59:25.2694701Z - onnx_kwargs: 2023-07-07T19:59:25.2695161Z - diagnostic_context: 2023-07-07T19:59:25.2695415Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2695853Z [2023-07-07 19:57:16,994] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2696057Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2696079Z 2023-07-07T19:59:25.2696369Z [2023-07-07 19:57:16,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2696673Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2696682Z 2023-07-07T19:59:25.2696955Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2697367Z - self: 2023-07-07T19:59:25.2697695Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2697865Z - aten_name: 2023-07-07T19:59:25.2698065Z - function_overloads: 2023-07-07T19:59:25.2698238Z - onnx_args: 2023-07-07T19:59:25.2698400Z - onnx_kwargs: 2023-07-07T19:59:25.2698859Z - diagnostic_context: 2023-07-07T19:59:25.2699191Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2699625Z [2023-07-07 19:57:17,065] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2699845Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2699853Z 2023-07-07T19:59:25.2700151Z [2023-07-07 19:57:17,065] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2700517Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2700525Z 2023-07-07T19:59:25.2700797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2701189Z - self: 2023-07-07T19:59:25.2701515Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2701686Z - aten_name: 2023-07-07T19:59:25.2701890Z - function_overloads: 2023-07-07T19:59:25.2702062Z - onnx_args: 2023-07-07T19:59:25.2702238Z - onnx_kwargs: 2023-07-07T19:59:25.2702702Z - diagnostic_context: 2023-07-07T19:59:25.2702955Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2703375Z [2023-07-07 19:57:17,134] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2703600Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2703608Z 2023-07-07T19:59:25.2703905Z [2023-07-07 19:57:17,135] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2704208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2704216Z 2023-07-07T19:59:25.2704492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2704902Z - self: 2023-07-07T19:59:25.2705230Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2705401Z - aten_name: 2023-07-07T19:59:25.2705603Z - function_overloads: 2023-07-07T19:59:25.2705763Z - onnx_args: 2023-07-07T19:59:25.2705941Z - onnx_kwargs: 2023-07-07T19:59:25.2706397Z - diagnostic_context: 2023-07-07T19:59:25.2706613Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2707053Z [2023-07-07 19:57:17,185] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2707233Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2707239Z 2023-07-07T19:59:25.2707447Z [2023-07-07 19:57:17,185] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2707649Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2707655Z 2023-07-07T19:59:25.2707825Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2708092Z - self: 2023-07-07T19:59:25.2708313Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2708425Z - aten_name: 2023-07-07T19:59:25.2708556Z - function_overloads: 2023-07-07T19:59:25.2708670Z - onnx_args: 2023-07-07T19:59:25.2708786Z - onnx_kwargs: 2023-07-07T19:59:25.2709090Z - diagnostic_context: 2023-07-07T19:59:25.2709247Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2709616Z [2023-07-07 19:57:17,237] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2709764Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2709770Z 2023-07-07T19:59:25.2709965Z [2023-07-07 19:57:17,237] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2710224Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2710230Z 2023-07-07T19:59:25.2710411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2710681Z - self: 2023-07-07T19:59:25.2710897Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2710997Z - aten_name: 2023-07-07T19:59:25.2711130Z - function_overloads: 2023-07-07T19:59:25.2711249Z - onnx_args: 2023-07-07T19:59:25.2711367Z - onnx_kwargs: 2023-07-07T19:59:25.2711668Z - diagnostic_context: 2023-07-07T19:59:25.2711837Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2712120Z [2023-07-07 19:57:17,294] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2712274Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2712280Z 2023-07-07T19:59:25.2712461Z [2023-07-07 19:57:17,294] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2712661Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2712666Z 2023-07-07T19:59:25.2712847Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2713118Z - self: 2023-07-07T19:59:25.2713333Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2713447Z - aten_name: 2023-07-07T19:59:25.2713577Z - function_overloads: 2023-07-07T19:59:25.2713691Z - onnx_args: 2023-07-07T19:59:25.2713798Z - onnx_kwargs: 2023-07-07T19:59:25.2714103Z - diagnostic_context: 2023-07-07T19:59:25.2714269Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2714622Z [2023-07-07 19:57:17,343] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2714771Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2714777Z 2023-07-07T19:59:25.2714974Z [2023-07-07 19:57:17,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2715181Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2715187Z 2023-07-07T19:59:25.2715368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2715636Z - self: 2023-07-07T19:59:25.2715841Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2715955Z - aten_name: 2023-07-07T19:59:25.2716085Z - function_overloads: 2023-07-07T19:59:25.2716200Z - onnx_args: 2023-07-07T19:59:25.2716318Z - onnx_kwargs: 2023-07-07T19:59:25.2716620Z - diagnostic_context: 2023-07-07T19:59:25.2716785Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2717137Z [2023-07-07 19:57:17,392] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2717274Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2717279Z 2023-07-07T19:59:25.2717475Z [2023-07-07 19:57:17,392] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2717674Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2717732Z 2023-07-07T19:59:25.2717913Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2718182Z - self: 2023-07-07T19:59:25.2718397Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2718509Z - aten_name: 2023-07-07T19:59:25.2718639Z - function_overloads: 2023-07-07T19:59:25.2718746Z - onnx_args: 2023-07-07T19:59:25.2718862Z - onnx_kwargs: 2023-07-07T19:59:25.2719165Z - diagnostic_context: 2023-07-07T19:59:25.2719332Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2719614Z [2023-07-07 19:57:17,445] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2719765Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2719771Z 2023-07-07T19:59:25.2719965Z [2023-07-07 19:57:17,445] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2720167Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2720173Z 2023-07-07T19:59:25.2720357Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2720615Z - self: 2023-07-07T19:59:25.2720830Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2720943Z - aten_name: 2023-07-07T19:59:25.2721074Z - function_overloads: 2023-07-07T19:59:25.2721190Z - onnx_args: 2023-07-07T19:59:25.2721305Z - onnx_kwargs: 2023-07-07T19:59:25.2721612Z - diagnostic_context: 2023-07-07T19:59:25.2721767Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2722051Z [2023-07-07 19:57:17,500] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2722196Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2722202Z 2023-07-07T19:59:25.2722395Z [2023-07-07 19:57:17,501] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2722599Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2722605Z 2023-07-07T19:59:25.2722788Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2723055Z - self: 2023-07-07T19:59:25.2723276Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2723389Z - aten_name: 2023-07-07T19:59:25.2723508Z - function_overloads: 2023-07-07T19:59:25.2723621Z - onnx_args: 2023-07-07T19:59:25.2723737Z - onnx_kwargs: 2023-07-07T19:59:25.2724039Z - diagnostic_context: 2023-07-07T19:59:25.2724205Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2724757Z [2023-07-07 19:57:17,550] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2724913Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2724919Z 2023-07-07T19:59:25.2725124Z [2023-07-07 19:57:17,550] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2725313Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2725412Z 2023-07-07T19:59:25.2725648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2725922Z - self: 2023-07-07T19:59:25.2726136Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2726248Z - aten_name: 2023-07-07T19:59:25.2726381Z - function_overloads: 2023-07-07T19:59:25.2726496Z - onnx_args: 2023-07-07T19:59:25.2726616Z - onnx_kwargs: 2023-07-07T19:59:25.2726906Z - diagnostic_context: 2023-07-07T19:59:25.2727074Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2727360Z [2023-07-07 19:57:17,600] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2727513Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2727519Z 2023-07-07T19:59:25.2727713Z [2023-07-07 19:57:17,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2727915Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2727920Z 2023-07-07T19:59:25.2728103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2728373Z - self: 2023-07-07T19:59:25.2728590Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2728691Z - aten_name: 2023-07-07T19:59:25.2728822Z - function_overloads: 2023-07-07T19:59:25.2728938Z - onnx_args: 2023-07-07T19:59:25.2729055Z - onnx_kwargs: 2023-07-07T19:59:25.2729366Z - diagnostic_context: 2023-07-07T19:59:25.2729531Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2729815Z [2023-07-07 19:57:17,654] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2729961Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2729967Z 2023-07-07T19:59:25.2730150Z [2023-07-07 19:57:17,654] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2730355Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2730361Z 2023-07-07T19:59:25.2730543Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2730810Z - self: 2023-07-07T19:59:25.2731028Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2731140Z - aten_name: 2023-07-07T19:59:25.2731272Z - function_overloads: 2023-07-07T19:59:25.2731385Z - onnx_args: 2023-07-07T19:59:25.2731489Z - onnx_kwargs: 2023-07-07T19:59:25.2731793Z - diagnostic_context: 2023-07-07T19:59:25.2731959Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2732305Z [2023-07-07 19:57:17,709] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2732454Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2732460Z 2023-07-07T19:59:25.2732653Z [2023-07-07 19:57:17,709] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2732853Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2732916Z 2023-07-07T19:59:25.2733099Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2733368Z - self: 2023-07-07T19:59:25.2733570Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2733684Z - aten_name: 2023-07-07T19:59:25.2733816Z - function_overloads: 2023-07-07T19:59:25.2733930Z - onnx_args: 2023-07-07T19:59:25.2734051Z - onnx_kwargs: 2023-07-07T19:59:25.2734355Z - diagnostic_context: 2023-07-07T19:59:25.2734522Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2734792Z [2023-07-07 19:57:17,759] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2734942Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2734949Z 2023-07-07T19:59:25.2735145Z [2023-07-07 19:57:17,760] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2735348Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2735354Z 2023-07-07T19:59:25.2735536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2735804Z - self: 2023-07-07T19:59:25.2736021Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2736134Z - aten_name: 2023-07-07T19:59:25.2736265Z - function_overloads: 2023-07-07T19:59:25.2736368Z - onnx_args: 2023-07-07T19:59:25.2736483Z - onnx_kwargs: 2023-07-07T19:59:25.2736784Z - diagnostic_context: 2023-07-07T19:59:25.2736954Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2737238Z [2023-07-07 19:57:17,809] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2737386Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2737391Z 2023-07-07T19:59:25.2737588Z [2023-07-07 19:57:17,809] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2737792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2737798Z 2023-07-07T19:59:25.2737981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2738237Z - self: 2023-07-07T19:59:25.2738452Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2738570Z - aten_name: 2023-07-07T19:59:25.2738700Z - function_overloads: 2023-07-07T19:59:25.2738814Z - onnx_args: 2023-07-07T19:59:25.2738930Z - onnx_kwargs: 2023-07-07T19:59:25.2739234Z - diagnostic_context: 2023-07-07T19:59:25.2739389Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2739727Z [2023-07-07 19:57:17,864] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2739875Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2739881Z 2023-07-07T19:59:25.2740075Z [2023-07-07 19:57:17,864] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2740278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2740370Z 2023-07-07T19:59:25.2740553Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2740822Z - self: 2023-07-07T19:59:25.2741034Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2741146Z - aten_name: 2023-07-07T19:59:25.2741265Z - function_overloads: 2023-07-07T19:59:25.2741378Z - onnx_args: 2023-07-07T19:59:25.2741495Z - onnx_kwargs: 2023-07-07T19:59:25.2741800Z - diagnostic_context: 2023-07-07T19:59:25.2741966Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2742249Z [2023-07-07 19:57:17,921] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2742395Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2742405Z 2023-07-07T19:59:25.2742600Z [2023-07-07 19:57:17,921] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2742790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2742808Z 2023-07-07T19:59:25.2742975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2743245Z - self: 2023-07-07T19:59:25.2743461Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2743572Z - aten_name: 2023-07-07T19:59:25.2743702Z - function_overloads: 2023-07-07T19:59:25.2743815Z - onnx_args: 2023-07-07T19:59:25.2743930Z - onnx_kwargs: 2023-07-07T19:59:25.2744221Z - diagnostic_context: 2023-07-07T19:59:25.2744392Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2744672Z [2023-07-07 19:57:17,972] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2744819Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2744825Z 2023-07-07T19:59:25.2745020Z [2023-07-07 19:57:17,972] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2745225Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2745230Z 2023-07-07T19:59:25.2745415Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2745682Z - self: 2023-07-07T19:59:25.2745897Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2746001Z - aten_name: 2023-07-07T19:59:25.2746132Z - function_overloads: 2023-07-07T19:59:25.2746246Z - onnx_args: 2023-07-07T19:59:25.2746362Z - onnx_kwargs: 2023-07-07T19:59:25.2746668Z - diagnostic_context: 2023-07-07T19:59:25.2746834Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2747116Z [2023-07-07 19:57:18,032] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2747308Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2747326Z 2023-07-07T19:59:25.2747508Z [2023-07-07 19:57:18,032] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2747708Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2747766Z 2023-07-07T19:59:25.2747949Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2748214Z - self: 2023-07-07T19:59:25.2748429Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2748541Z - aten_name: 2023-07-07T19:59:25.2748672Z - function_overloads: 2023-07-07T19:59:25.2748788Z - onnx_args: 2023-07-07T19:59:25.2748891Z - onnx_kwargs: 2023-07-07T19:59:25.2749198Z - diagnostic_context: 2023-07-07T19:59:25.2749367Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2749648Z [2023-07-07 19:57:18,085] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2749794Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2749804Z 2023-07-07T19:59:25.2750000Z [2023-07-07 19:57:18,085] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2750201Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2750207Z 2023-07-07T19:59:25.2750390Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2750657Z - self: 2023-07-07T19:59:25.2750863Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2750976Z - aten_name: 2023-07-07T19:59:25.2751106Z - function_overloads: 2023-07-07T19:59:25.2751220Z - onnx_args: 2023-07-07T19:59:25.2751337Z - onnx_kwargs: 2023-07-07T19:59:25.2751640Z - diagnostic_context: 2023-07-07T19:59:25.2751810Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2752079Z [2023-07-07 19:57:18,142] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2752227Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2752232Z 2023-07-07T19:59:25.2752425Z [2023-07-07 19:57:18,142] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2752624Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2752633Z 2023-07-07T19:59:25.2752815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2753081Z - self: 2023-07-07T19:59:25.2753297Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2753415Z - aten_name: 2023-07-07T19:59:25.2753547Z - function_overloads: 2023-07-07T19:59:25.2753650Z - onnx_args: 2023-07-07T19:59:25.2753766Z - onnx_kwargs: 2023-07-07T19:59:25.2754069Z - diagnostic_context: 2023-07-07T19:59:25.2754235Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2754610Z [2023-07-07 19:57:18,197] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2754832Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2754843Z 2023-07-07T19:59:25.2755045Z [2023-07-07 19:57:18,197] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2755249Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2755255Z 2023-07-07T19:59:25.2755486Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2755755Z - self: 2023-07-07T19:59:25.2755968Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2756082Z - aten_name: 2023-07-07T19:59:25.2756215Z - function_overloads: 2023-07-07T19:59:25.2756331Z - onnx_args: 2023-07-07T19:59:25.2756447Z - onnx_kwargs: 2023-07-07T19:59:25.2756754Z - diagnostic_context: 2023-07-07T19:59:25.2756910Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2757194Z [2023-07-07 19:57:18,258] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2757342Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2757352Z 2023-07-07T19:59:25.2757546Z [2023-07-07 19:57:18,258] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2757746Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2757752Z 2023-07-07T19:59:25.2757934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2758203Z - self: 2023-07-07T19:59:25.2758424Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2758537Z - aten_name: 2023-07-07T19:59:25.2758657Z - function_overloads: 2023-07-07T19:59:25.2758771Z - onnx_args: 2023-07-07T19:59:25.2758888Z - onnx_kwargs: 2023-07-07T19:59:25.2759193Z - diagnostic_context: 2023-07-07T19:59:25.2759366Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2759649Z [2023-07-07 19:57:18,309] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2759796Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2759802Z 2023-07-07T19:59:25.2759998Z [2023-07-07 19:57:18,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2760187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2760193Z 2023-07-07T19:59:25.2760381Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2760650Z - self: 2023-07-07T19:59:25.2760866Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2760978Z - aten_name: 2023-07-07T19:59:25.2761115Z - function_overloads: 2023-07-07T19:59:25.2761232Z - onnx_args: 2023-07-07T19:59:25.2761349Z - onnx_kwargs: 2023-07-07T19:59:25.2761643Z - diagnostic_context: 2023-07-07T19:59:25.2761810Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2762093Z [2023-07-07 19:57:18,370] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2762297Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2762303Z 2023-07-07T19:59:25.2762500Z [2023-07-07 19:57:18,370] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2762739Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2762748Z 2023-07-07T19:59:25.2763025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2763509Z - self: 2023-07-07T19:59:25.2763841Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2764000Z - aten_name: 2023-07-07T19:59:25.2764200Z - function_overloads: 2023-07-07T19:59:25.2764372Z - onnx_args: 2023-07-07T19:59:25.2764667Z - onnx_kwargs: 2023-07-07T19:59:25.2765134Z - diagnostic_context: 2023-07-07T19:59:25.2765388Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2765828Z [2023-07-07 19:57:18,455] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2766035Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2766057Z 2023-07-07T19:59:25.2766346Z [2023-07-07 19:57:18,456] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2766650Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2766659Z 2023-07-07T19:59:25.2766935Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2767350Z - self: 2023-07-07T19:59:25.2767678Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2767853Z - aten_name: 2023-07-07T19:59:25.2768055Z - function_overloads: 2023-07-07T19:59:25.2768231Z - onnx_args: 2023-07-07T19:59:25.2768393Z - onnx_kwargs: 2023-07-07T19:59:25.2768859Z - diagnostic_context: 2023-07-07T19:59:25.2769112Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2769555Z [2023-07-07 19:57:18,528] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2769775Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2769783Z 2023-07-07T19:59:25.2770082Z [2023-07-07 19:57:18,528] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2770382Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2770391Z 2023-07-07T19:59:25.2770667Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2771062Z - self: 2023-07-07T19:59:25.2771392Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2771561Z - aten_name: 2023-07-07T19:59:25.2771765Z - function_overloads: 2023-07-07T19:59:25.2771938Z - onnx_args: 2023-07-07T19:59:25.2772118Z - onnx_kwargs: 2023-07-07T19:59:25.2772580Z - diagnostic_context: 2023-07-07T19:59:25.2772835Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2773256Z [2023-07-07 19:57:18,602] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2773476Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2773613Z 2023-07-07T19:59:25.2773913Z [2023-07-07 19:57:18,602] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2774217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2774225Z 2023-07-07T19:59:25.2774497Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2774979Z - self: 2023-07-07T19:59:25.2775309Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2775483Z - aten_name: 2023-07-07T19:59:25.2775684Z - function_overloads: 2023-07-07T19:59:25.2775844Z - onnx_args: 2023-07-07T19:59:25.2776020Z - onnx_kwargs: 2023-07-07T19:59:25.2776434Z - diagnostic_context: 2023-07-07T19:59:25.2776699Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2777099Z [2023-07-07 19:57:18,679] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2777247Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2777253Z 2023-07-07T19:59:25.2777451Z [2023-07-07 19:57:18,679] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2777657Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2777662Z 2023-07-07T19:59:25.2777832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2778098Z - self: 2023-07-07T19:59:25.2778313Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2778429Z - aten_name: 2023-07-07T19:59:25.2778558Z - function_overloads: 2023-07-07T19:59:25.2778673Z - onnx_args: 2023-07-07T19:59:25.2778788Z - onnx_kwargs: 2023-07-07T19:59:25.2779094Z - diagnostic_context: 2023-07-07T19:59:25.2779248Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2779533Z [2023-07-07 19:57:18,727] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2779680Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2779685Z 2023-07-07T19:59:25.2779881Z [2023-07-07 19:57:18,727] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2780082Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2780088Z 2023-07-07T19:59:25.2780273Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2780543Z - self: 2023-07-07T19:59:25.2780755Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2780866Z - aten_name: 2023-07-07T19:59:25.2780985Z - function_overloads: 2023-07-07T19:59:25.2781102Z - onnx_args: 2023-07-07T19:59:25.2781219Z - onnx_kwargs: 2023-07-07T19:59:25.2781522Z - diagnostic_context: 2023-07-07T19:59:25.2781690Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2781973Z [2023-07-07 19:57:18,776] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2782119Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2782125Z 2023-07-07T19:59:25.2782381Z [2023-07-07 19:57:18,776] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2782586Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2782592Z 2023-07-07T19:59:25.2782773Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2783096Z - self: 2023-07-07T19:59:25.2783310Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2783423Z - aten_name: 2023-07-07T19:59:25.2783554Z - function_overloads: 2023-07-07T19:59:25.2783667Z - onnx_args: 2023-07-07T19:59:25.2783771Z - onnx_kwargs: 2023-07-07T19:59:25.2784074Z - diagnostic_context: 2023-07-07T19:59:25.2784245Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2784528Z [2023-07-07 19:57:18,827] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2784673Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2784679Z 2023-07-07T19:59:25.2784873Z [2023-07-07 19:57:18,827] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2785081Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2785086Z 2023-07-07T19:59:25.2785268Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2785534Z - self: 2023-07-07T19:59:25.2785734Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2785847Z - aten_name: 2023-07-07T19:59:25.2785982Z - function_overloads: 2023-07-07T19:59:25.2786096Z - onnx_args: 2023-07-07T19:59:25.2786212Z - onnx_kwargs: 2023-07-07T19:59:25.2786515Z - diagnostic_context: 2023-07-07T19:59:25.2786683Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2786969Z [2023-07-07 19:57:18,883] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2787103Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2787109Z 2023-07-07T19:59:25.2787303Z [2023-07-07 19:57:18,883] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2787617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2787623Z 2023-07-07T19:59:25.2787810Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2788078Z - self: 2023-07-07T19:59:25.2788292Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2788406Z - aten_name: 2023-07-07T19:59:25.2788538Z - function_overloads: 2023-07-07T19:59:25.2788645Z - onnx_args: 2023-07-07T19:59:25.2788762Z - onnx_kwargs: 2023-07-07T19:59:25.2789064Z - diagnostic_context: 2023-07-07T19:59:25.2789232Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2789514Z [2023-07-07 19:57:18,932] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2789663Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2789669Z 2023-07-07T19:59:25.2789923Z [2023-07-07 19:57:18,932] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2790128Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2790134Z 2023-07-07T19:59:25.2790317Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2790625Z - self: 2023-07-07T19:59:25.2790840Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2790951Z - aten_name: 2023-07-07T19:59:25.2791082Z - function_overloads: 2023-07-07T19:59:25.2791197Z - onnx_args: 2023-07-07T19:59:25.2791313Z - onnx_kwargs: 2023-07-07T19:59:25.2791616Z - diagnostic_context: 2023-07-07T19:59:25.2791773Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2792060Z [2023-07-07 19:57:18,981] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2792249Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2792257Z 2023-07-07T19:59:25.2792499Z [2023-07-07 19:57:18,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2792707Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2792713Z 2023-07-07T19:59:25.2792894Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2793160Z - self: 2023-07-07T19:59:25.2793374Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2793487Z - aten_name: 2023-07-07T19:59:25.2793610Z - function_overloads: 2023-07-07T19:59:25.2793726Z - onnx_args: 2023-07-07T19:59:25.2793843Z - onnx_kwargs: 2023-07-07T19:59:25.2794147Z - diagnostic_context: 2023-07-07T19:59:25.2794314Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2794668Z [2023-07-07 19:57:19,035] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2794821Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2794828Z 2023-07-07T19:59:25.2795026Z [2023-07-07 19:57:19,035] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2795215Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2795234Z 2023-07-07T19:59:25.2795404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2795677Z - self: 2023-07-07T19:59:25.2795891Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2796004Z - aten_name: 2023-07-07T19:59:25.2796138Z - function_overloads: 2023-07-07T19:59:25.2796252Z - onnx_args: 2023-07-07T19:59:25.2796373Z - onnx_kwargs: 2023-07-07T19:59:25.2796663Z - diagnostic_context: 2023-07-07T19:59:25.2796831Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2797113Z [2023-07-07 19:57:19,090] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2797261Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2797267Z 2023-07-07T19:59:25.2797530Z [2023-07-07 19:57:19,090] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2797733Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2797738Z 2023-07-07T19:59:25.2797919Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2798184Z - self: 2023-07-07T19:59:25.2798465Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2798567Z - aten_name: 2023-07-07T19:59:25.2798697Z - function_overloads: 2023-07-07T19:59:25.2798813Z - onnx_args: 2023-07-07T19:59:25.2798929Z - onnx_kwargs: 2023-07-07T19:59:25.2799232Z - diagnostic_context: 2023-07-07T19:59:25.2799398Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2799683Z [2023-07-07 19:57:19,140] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2799831Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2799837Z 2023-07-07T19:59:25.2800020Z [2023-07-07 19:57:19,140] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2800227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2800232Z 2023-07-07T19:59:25.2800414Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2800683Z - self: 2023-07-07T19:59:25.2800896Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2801010Z - aten_name: 2023-07-07T19:59:25.2801142Z - function_overloads: 2023-07-07T19:59:25.2801260Z - onnx_args: 2023-07-07T19:59:25.2801364Z - onnx_kwargs: 2023-07-07T19:59:25.2801667Z - diagnostic_context: 2023-07-07T19:59:25.2801833Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2802111Z [2023-07-07 19:57:19,189] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2802263Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2802268Z 2023-07-07T19:59:25.2802463Z [2023-07-07 19:57:19,189] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2802664Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2802670Z 2023-07-07T19:59:25.2802851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2803119Z - self: 2023-07-07T19:59:25.2803320Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2803433Z - aten_name: 2023-07-07T19:59:25.2803565Z - function_overloads: 2023-07-07T19:59:25.2803679Z - onnx_args: 2023-07-07T19:59:25.2803798Z - onnx_kwargs: 2023-07-07T19:59:25.2804101Z - diagnostic_context: 2023-07-07T19:59:25.2804266Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2804665Z [2023-07-07 19:57:19,258] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2804817Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2804823Z 2023-07-07T19:59:25.2805024Z [2023-07-07 19:57:19,259] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2805345Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2805352Z 2023-07-07T19:59:25.2805539Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2805807Z - self: 2023-07-07T19:59:25.2806086Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2806200Z - aten_name: 2023-07-07T19:59:25.2806333Z - function_overloads: 2023-07-07T19:59:25.2806436Z - onnx_args: 2023-07-07T19:59:25.2806552Z - onnx_kwargs: 2023-07-07T19:59:25.2806854Z - diagnostic_context: 2023-07-07T19:59:25.2807021Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2807307Z [2023-07-07 19:57:19,316] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2807455Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2807461Z 2023-07-07T19:59:25.2807656Z [2023-07-07 19:57:19,316] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2807856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2807868Z 2023-07-07T19:59:25.2808052Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2808306Z - self: 2023-07-07T19:59:25.2808520Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2808634Z - aten_name: 2023-07-07T19:59:25.2808765Z - function_overloads: 2023-07-07T19:59:25.2808879Z - onnx_args: 2023-07-07T19:59:25.2808999Z - onnx_kwargs: 2023-07-07T19:59:25.2809303Z - diagnostic_context: 2023-07-07T19:59:25.2809457Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2809736Z [2023-07-07 19:57:19,367] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2809887Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2809893Z 2023-07-07T19:59:25.2810090Z [2023-07-07 19:57:19,367] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2810290Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2810296Z 2023-07-07T19:59:25.2810479Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2810750Z - self: 2023-07-07T19:59:25.2810965Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2811077Z - aten_name: 2023-07-07T19:59:25.2811197Z - function_overloads: 2023-07-07T19:59:25.2811311Z - onnx_args: 2023-07-07T19:59:25.2811427Z - onnx_kwargs: 2023-07-07T19:59:25.2811734Z - diagnostic_context: 2023-07-07T19:59:25.2811900Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2812180Z [2023-07-07 19:57:19,440] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2812327Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2812334Z 2023-07-07T19:59:25.2812528Z [2023-07-07 19:57:19,440] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2812785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2812804Z 2023-07-07T19:59:25.2812973Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2813239Z - self: 2023-07-07T19:59:25.2813506Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2813618Z - aten_name: 2023-07-07T19:59:25.2813747Z - function_overloads: 2023-07-07T19:59:25.2813861Z - onnx_args: 2023-07-07T19:59:25.2813977Z - onnx_kwargs: 2023-07-07T19:59:25.2814270Z - diagnostic_context: 2023-07-07T19:59:25.2814440Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2814725Z [2023-07-07 19:57:19,516] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2814874Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2814880Z 2023-07-07T19:59:25.2815075Z [2023-07-07 19:57:19,517] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2815278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2815288Z 2023-07-07T19:59:25.2815471Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2815737Z - self: 2023-07-07T19:59:25.2815951Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2816051Z - aten_name: 2023-07-07T19:59:25.2816182Z - function_overloads: 2023-07-07T19:59:25.2816299Z - onnx_args: 2023-07-07T19:59:25.2816422Z - onnx_kwargs: 2023-07-07T19:59:25.2816726Z - diagnostic_context: 2023-07-07T19:59:25.2816895Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2817178Z [2023-07-07 19:57:19,603] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2817319Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2817337Z 2023-07-07T19:59:25.2817519Z [2023-07-07 19:57:19,603] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2817721Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2817727Z 2023-07-07T19:59:25.2817909Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2818180Z - self: 2023-07-07T19:59:25.2818396Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2818511Z - aten_name: 2023-07-07T19:59:25.2818643Z - function_overloads: 2023-07-07T19:59:25.2818757Z - onnx_args: 2023-07-07T19:59:25.2818860Z - onnx_kwargs: 2023-07-07T19:59:25.2819167Z - diagnostic_context: 2023-07-07T19:59:25.2819335Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2819617Z [2023-07-07 19:57:19,707] torch.onnx: [WARNING] FX Node: call_function:aten.constant_pad_nd.default[name=constant_pad_nd]. 2023-07-07T19:59:25.2819765Z ONNX Node: aten_constant_pad_nd[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2819770Z 2023-07-07T19:59:25.2819967Z [2023-07-07 19:57:19,707] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2820230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2820236Z 2023-07-07T19:59:25.2820420Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2820686Z - self: 2023-07-07T19:59:25.2820887Z - node: fx.Node(constant_pad_nd[call_function]'aten.constant_pad_nd.default') 2023-07-07T19:59:25.2821058Z - aten_name: 2023-07-07T19:59:25.2821191Z - function_overloads: 2023-07-07T19:59:25.2821307Z - onnx_args: 2023-07-07T19:59:25.2821424Z - onnx_kwargs: 2023-07-07T19:59:25.2821786Z - diagnostic_context: 2023-07-07T19:59:25.2822042Z - Return value: `OnnxFunction(aten_constant_pad_nd)` 2023-07-07T19:59:25.2822143Z PASSED [2.9183s] [ 44%] 2023-07-07T19:59:25.2822538Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_bool PASSED [0.0993s] [ 44%] 2023-07-07T19:59:25.2822907Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_float16 PASSED [0.1360s] [ 45%] 2023-07-07T19:59:25.2823275Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_float32 PASSED [0.1491s] [ 45%] 2023-07-07T19:59:25.2823637Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_int16 PASSED [0.1253s] [ 45%] 2023-07-07T19:59:25.2823995Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_int32 PASSED [0.1183s] [ 45%] 2023-07-07T19:59:25.2824354Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_int64 PASSED [0.0952s] [ 45%] 2023-07-07T19:59:25.2824716Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_int8 PASSED [0.0973s] [ 45%] 2023-07-07T19:59:25.2825072Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_contiguous_cpu_uint8 PASSED [0.0933s] [ 46%] 2023-07-07T19:59:25.2825414Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_bool PASSED [0.1787s] [ 46%] 2023-07-07T19:59:25.2825755Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_float16 PASSED [0.1877s] [ 46%] 2023-07-07T19:59:25.2826097Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_float32 PASSED [0.1299s] [ 46%] 2023-07-07T19:59:25.2826437Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_int16 PASSED [0.1844s] [ 46%] 2023-07-07T19:59:25.2826782Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_int32 PASSED [0.4510s] [ 46%] 2023-07-07T19:59:25.2827119Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_int64 PASSED [0.1241s] [ 47%] 2023-07-07T19:59:25.2827461Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_int8 PASSED [0.1749s] [ 47%] 2023-07-07T19:59:25.2827805Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cos_cpu_uint8 PASSED [0.1770s] [ 47%] 2023-07-07T19:59:25.2828153Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_bool PASSED [0.1741s] [ 47%] 2023-07-07T19:59:25.2828501Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_float16 PASSED [0.1724s] [ 47%] 2023-07-07T19:59:25.2828844Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_float32 PASSED [0.1222s] [ 48%] 2023-07-07T19:59:25.2829262Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_int16 PASSED [0.1401s] [ 48%] 2023-07-07T19:59:25.2829606Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_int32 PASSED [0.1323s] [ 48%] 2023-07-07T19:59:25.2829942Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_int64 PASSED [0.1304s] [ 48%] 2023-07-07T19:59:25.2830351Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_int8 PASSED [0.1315s] [ 48%] 2023-07-07T19:59:25.2830688Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cosh_cpu_uint8 PASSED [0.1339s] [ 48%] 2023-07-07T19:59:25.2831549Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cross_cpu_float32 [2023-07-07 19:57:23,467] torch.onnx: [ERROR] Cannot find symbolic function for aten::linalg_cross, which should be registered under aten.linalg_cross.default. 2023-07-07T19:59:25.2831780Z [2023-07-07 19:57:23,467] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2832202Z [2023-07-07 19:57:23,467] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.linalg_cross.default']}. 2023-07-07T19:59:25.2832429Z [2023-07-07 19:57:23,468] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2832549Z XFAIL [0.0730s] [ 49%] 2023-07-07T19:59:25.2833260Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cross_cpu_int16 [2023-07-07 19:57:23,559] torch.onnx: [ERROR] Cannot find symbolic function for aten::linalg_cross, which should be registered under aten.linalg_cross.default. 2023-07-07T19:59:25.2833413Z [2023-07-07 19:57:23,559] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2833685Z [2023-07-07 19:57:23,560] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.linalg_cross.default']}. 2023-07-07T19:59:25.2833833Z [2023-07-07 19:57:23,560] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2833912Z XFAIL [0.0952s] [ 49%] 2023-07-07T19:59:25.2834528Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cross_cpu_int32 [2023-07-07 19:57:23,640] torch.onnx: [ERROR] Cannot find symbolic function for aten::linalg_cross, which should be registered under aten.linalg_cross.default. 2023-07-07T19:59:25.2834681Z [2023-07-07 19:57:23,640] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2834955Z [2023-07-07 19:57:23,640] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.linalg_cross.default']}. 2023-07-07T19:59:25.2835102Z [2023-07-07 19:57:23,640] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2835164Z XFAIL [0.0759s] [ 49%] 2023-07-07T19:59:25.2835706Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cross_cpu_int64 [2023-07-07 19:57:23,716] torch.onnx: [ERROR] Cannot find symbolic function for aten::linalg_cross, which should be registered under aten.linalg_cross.default. 2023-07-07T19:59:25.2835857Z [2023-07-07 19:57:23,716] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2836127Z [2023-07-07 19:57:23,716] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.linalg_cross.default']}. 2023-07-07T19:59:25.2836272Z [2023-07-07 19:57:23,716] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2836347Z XFAIL [0.0749s] [ 49%] 2023-07-07T19:59:25.2836890Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cross_cpu_int8 [2023-07-07 19:57:23,794] torch.onnx: [ERROR] Cannot find symbolic function for aten::linalg_cross, which should be registered under aten.linalg_cross.default. 2023-07-07T19:59:25.2837042Z [2023-07-07 19:57:23,794] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2837307Z [2023-07-07 19:57:23,794] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.linalg_cross.default']}. 2023-07-07T19:59:25.2837439Z [2023-07-07 19:57:23,794] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2837514Z XFAIL [0.0740s] [ 49%] 2023-07-07T19:59:25.2838141Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cross_cpu_uint8 [2023-07-07 19:57:23,869] torch.onnx: [ERROR] Cannot find symbolic function for aten::linalg_cross, which should be registered under aten.linalg_cross.default. 2023-07-07T19:59:25.2838291Z [2023-07-07 19:57:23,869] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2838556Z [2023-07-07 19:57:23,869] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.linalg_cross.default']}. 2023-07-07T19:59:25.2838761Z [2023-07-07 19:57:23,869] torch.onnx: [ERROR] None 2023-07-07T19:59:25.2838835Z XFAIL [0.0730s] [ 50%] 2023-07-07T19:59:25.2839302Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cumsum_cpu_float32 [2023-07-07 19:57:23,948] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2839441Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2839448Z 2023-07-07T19:59:25.2839640Z [2023-07-07 19:57:23,948] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2839845Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2839852Z 2023-07-07T19:59:25.2840033Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2840306Z - self: 2023-07-07T19:59:25.2840496Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2840611Z - aten_name: 2023-07-07T19:59:25.2840744Z - function_overloads: 2023-07-07T19:59:25.2840859Z - onnx_args: 2023-07-07T19:59:25.2840964Z - onnx_kwargs: 2023-07-07T19:59:25.2841268Z - diagnostic_context: 2023-07-07T19:59:25.2841482Z - Return value: 2023-07-07T19:59:25.2841736Z [2023-07-07 19:57:23,995] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2841874Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2841881Z 2023-07-07T19:59:25.2842077Z [2023-07-07 19:57:23,995] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2842283Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2842289Z 2023-07-07T19:59:25.2842471Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2842739Z - self: 2023-07-07T19:59:25.2842912Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2843143Z - aten_name: 2023-07-07T19:59:25.2843276Z - function_overloads: 2023-07-07T19:59:25.2843395Z - onnx_args: 2023-07-07T19:59:25.2843513Z - onnx_kwargs: 2023-07-07T19:59:25.2843821Z - diagnostic_context: 2023-07-07T19:59:25.2844034Z - Return value: 2023-07-07T19:59:25.2844279Z [2023-07-07 19:57:24,039] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2844549Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2844556Z 2023-07-07T19:59:25.2844769Z [2023-07-07 19:57:24,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2844974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2844980Z 2023-07-07T19:59:25.2845165Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2845529Z - self: 2023-07-07T19:59:25.2845718Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2845832Z - aten_name: 2023-07-07T19:59:25.2845964Z - function_overloads: 2023-07-07T19:59:25.2846067Z - onnx_args: 2023-07-07T19:59:25.2846184Z - onnx_kwargs: 2023-07-07T19:59:25.2846561Z - diagnostic_context: 2023-07-07T19:59:25.2846773Z - Return value: 2023-07-07T19:59:25.2846851Z PASSED [0.1906s] [ 50%] 2023-07-07T19:59:25.2847326Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cumsum_cpu_int16 [2023-07-07 19:57:24,137] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2847462Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2847468Z 2023-07-07T19:59:25.2847668Z [2023-07-07 19:57:24,137] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2847856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2847874Z 2023-07-07T19:59:25.2848044Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2848318Z - self: 2023-07-07T19:59:25.2848504Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2848619Z - aten_name: 2023-07-07T19:59:25.2848750Z - function_overloads: 2023-07-07T19:59:25.2848864Z - onnx_args: 2023-07-07T19:59:25.2848980Z - onnx_kwargs: 2023-07-07T19:59:25.2849271Z - diagnostic_context: 2023-07-07T19:59:25.2849486Z - Return value: 2023-07-07T19:59:25.2849561Z XFAIL [0.0467s] [ 50%] 2023-07-07T19:59:25.2850098Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cumsum_cpu_int32 [2023-07-07 19:57:24,186] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2850236Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2850247Z 2023-07-07T19:59:25.2850447Z [2023-07-07 19:57:24,186] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2850648Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2850654Z 2023-07-07T19:59:25.2850838Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2851103Z - self: 2023-07-07T19:59:25.2851278Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2851393Z - aten_name: 2023-07-07T19:59:25.2851523Z - function_overloads: 2023-07-07T19:59:25.2851637Z - onnx_args: 2023-07-07T19:59:25.2851753Z - onnx_kwargs: 2023-07-07T19:59:25.2852055Z - diagnostic_context: 2023-07-07T19:59:25.2852270Z - Return value: 2023-07-07T19:59:25.2852332Z XFAIL [0.0504s] [ 50%] 2023-07-07T19:59:25.2852801Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cumsum_cpu_int64 [2023-07-07 19:57:24,239] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2852938Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2852944Z 2023-07-07T19:59:25.2853142Z [2023-07-07 19:57:24,239] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2853407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2853414Z 2023-07-07T19:59:25.2853598Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2853862Z - self: 2023-07-07T19:59:25.2854114Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2854226Z - aten_name: 2023-07-07T19:59:25.2854345Z - function_overloads: 2023-07-07T19:59:25.2854460Z - onnx_args: 2023-07-07T19:59:25.2854576Z - onnx_kwargs: 2023-07-07T19:59:25.2854876Z - diagnostic_context: 2023-07-07T19:59:25.2855087Z - Return value: 2023-07-07T19:59:25.2855345Z [2023-07-07 19:57:24,286] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2855481Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2855486Z 2023-07-07T19:59:25.2855682Z [2023-07-07 19:57:24,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2855871Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2855894Z 2023-07-07T19:59:25.2856062Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2856327Z - self: 2023-07-07T19:59:25.2856512Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2856625Z - aten_name: 2023-07-07T19:59:25.2856756Z - function_overloads: 2023-07-07T19:59:25.2856871Z - onnx_args: 2023-07-07T19:59:25.2856986Z - onnx_kwargs: 2023-07-07T19:59:25.2857285Z - diagnostic_context: 2023-07-07T19:59:25.2857499Z - Return value: 2023-07-07T19:59:25.2857755Z [2023-07-07 19:57:24,330] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2857897Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2857903Z 2023-07-07T19:59:25.2858099Z [2023-07-07 19:57:24,330] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2858303Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2858309Z 2023-07-07T19:59:25.2858493Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2858761Z - self: 2023-07-07T19:59:25.2858949Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2859049Z - aten_name: 2023-07-07T19:59:25.2859180Z - function_overloads: 2023-07-07T19:59:25.2859295Z - onnx_args: 2023-07-07T19:59:25.2859411Z - onnx_kwargs: 2023-07-07T19:59:25.2859714Z - diagnostic_context: 2023-07-07T19:59:25.2859930Z - Return value: 2023-07-07T19:59:25.2860008Z PASSED [0.1904s] [ 50%] 2023-07-07T19:59:25.2860464Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cumsum_cpu_int8 [2023-07-07 19:57:24,430] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2860602Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2860608Z 2023-07-07T19:59:25.2860864Z [2023-07-07 19:57:24,430] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2861067Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2861073Z 2023-07-07T19:59:25.2861255Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2861523Z - self: 2023-07-07T19:59:25.2861764Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2861878Z - aten_name: 2023-07-07T19:59:25.2862008Z - function_overloads: 2023-07-07T19:59:25.2862111Z - onnx_args: 2023-07-07T19:59:25.2862228Z - onnx_kwargs: 2023-07-07T19:59:25.2862529Z - diagnostic_context: 2023-07-07T19:59:25.2862743Z - Return value: 2023-07-07T19:59:25.2862818Z XFAIL [0.0471s] [ 50%] 2023-07-07T19:59:25.2863294Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_cumsum_cpu_uint8 [2023-07-07 19:57:24,478] torch.onnx: [WARNING] FX Node: call_function:aten.cumsum.default[name=cumsum]. 2023-07-07T19:59:25.2863431Z ONNX Node: aten_cumsum[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2863436Z 2023-07-07T19:59:25.2863636Z [2023-07-07 19:57:24,478] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2863837Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2863843Z 2023-07-07T19:59:25.2864012Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2864278Z - self: 2023-07-07T19:59:25.2864462Z - node: fx.Node(cumsum[call_function]'aten.cumsum.default') 2023-07-07T19:59:25.2864579Z - aten_name: 2023-07-07T19:59:25.2864712Z - function_overloads: 2023-07-07T19:59:25.2864826Z - onnx_args: 2023-07-07T19:59:25.2864941Z - onnx_kwargs: 2023-07-07T19:59:25.2865233Z - diagnostic_context: 2023-07-07T19:59:25.2865443Z - Return value: 2023-07-07T19:59:25.2865522Z XFAIL [0.0510s] [ 51%] 2023-07-07T19:59:25.2865814Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2866106Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2866403Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2866691Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2866977Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2867268Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2867553Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2867924Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2868209Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2868446Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float16 PASSED [0.0151s] [ 51%] 2023-07-07T19:59:25.2868780Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2869065Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2869354Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2869638Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2869923Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2870207Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2870489Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2870777Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2871059Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2871313Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_float32 PASSED [0.0142s] [ 51%] 2023-07-07T19:59:25.2871597Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2871879Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2872167Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2872438Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2872724Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2873003Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2873337Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2873618Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2873897Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2874195Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int16 PASSED [0.0110s] [ 51%] 2023-07-07T19:59:25.2874563Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2874854Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2875137Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2875417Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2875699Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2875978Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2876251Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_floor_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 51%] 2023-07-07T19:59:25.2876531Z 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onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2903800Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int32 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2904046Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int32 PASSED [0.0100s] [ 54%] 2023-07-07T19:59:25.2904327Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int64 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2904608Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int64 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 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onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int64 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2906333Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int64 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2906615Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int64 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2906856Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int64 PASSED [0.0107s] [ 54%] 2023-07-07T19:59:25.2907192Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2907458Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2907745Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2908026Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2908308Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2908592Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2908876Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2909159Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2909540Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2909788Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_int8 PASSED [0.0100s] [ 54%] 2023-07-07T19:59:25.2910072Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2910353Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2910639Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2910920Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2911198Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2911470Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2911751Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2912086Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2912368Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 SUBSKIP [0.0000s] (rounding_mode is not yet supported) [ 54%] 2023-07-07T19:59:25.2912612Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_div_trunc_rounding_cpu_uint8 PASSED [0.0103s] [ 54%] 2023-07-07T19:59:25.2912922Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_dot_cpu_float32 PASSED [0.0457s] [ 55%] 2023-07-07T19:59:25.2913415Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_dot_cpu_int16 [2023-07-07 19:57:28,877] torch.onnx: [WARNING] FX Node: call_function:aten.dot.default[name=dot]. 2023-07-07T19:59:25.2913551Z ONNX Node: aten_dot[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2913559Z 2023-07-07T19:59:25.2913765Z [2023-07-07 19:57:28,877] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2913967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2913973Z 2023-07-07T19:59:25.2914158Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2914422Z - self: 2023-07-07T19:59:25.2914677Z - node: fx.Node(dot[call_function]'aten.dot.default') 2023-07-07T19:59:25.2914793Z - aten_name: 2023-07-07T19:59:25.2914924Z - function_overloads: 2023-07-07T19:59:25.2915043Z - onnx_args: 2023-07-07T19:59:25.2915161Z - onnx_kwargs: 2023-07-07T19:59:25.2915467Z - diagnostic_context: 2023-07-07T19:59:25.2915614Z - Return value: `OnnxFunction(aten_dot)` 2023-07-07T19:59:25.2915677Z XFAIL [0.0449s] [ 55%] 2023-07-07T19:59:25.2916128Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_dot_cpu_int32 [2023-07-07 19:57:28,922] torch.onnx: [WARNING] FX Node: call_function:aten.dot.default[name=dot]. 2023-07-07T19:59:25.2916287Z ONNX Node: aten_dot[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2916300Z 2023-07-07T19:59:25.2916568Z [2023-07-07 19:57:28,922] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2916773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2916780Z 2023-07-07T19:59:25.2916963Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2917230Z - self: 2023-07-07T19:59:25.2917400Z - node: fx.Node(dot[call_function]'aten.dot.default') 2023-07-07T19:59:25.2917516Z - aten_name: 2023-07-07T19:59:25.2917635Z - function_overloads: 2023-07-07T19:59:25.2917749Z - onnx_args: 2023-07-07T19:59:25.2917866Z - onnx_kwargs: 2023-07-07T19:59:25.2918171Z - diagnostic_context: 2023-07-07T19:59:25.2918318Z - Return value: `OnnxFunction(aten_dot)` 2023-07-07T19:59:25.2918396Z PASSED [0.0438s] [ 55%] 2023-07-07T19:59:25.2918845Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_dot_cpu_int64 [2023-07-07 19:57:28,969] torch.onnx: [WARNING] FX Node: call_function:aten.dot.default[name=dot]. 2023-07-07T19:59:25.2918965Z ONNX Node: aten_dot[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2918983Z 2023-07-07T19:59:25.2919167Z [2023-07-07 19:57:28,969] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2919441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2919448Z 2023-07-07T19:59:25.2919631Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2919901Z - self: 2023-07-07T19:59:25.2920069Z - node: fx.Node(dot[call_function]'aten.dot.default') 2023-07-07T19:59:25.2920234Z - aten_name: 2023-07-07T19:59:25.2920366Z - function_overloads: 2023-07-07T19:59:25.2920480Z - onnx_args: 2023-07-07T19:59:25.2920583Z - onnx_kwargs: 2023-07-07T19:59:25.2920887Z - diagnostic_context: 2023-07-07T19:59:25.2921028Z - Return value: `OnnxFunction(aten_dot)` 2023-07-07T19:59:25.2921105Z PASSED [0.0454s] [ 55%] 2023-07-07T19:59:25.2921561Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_dot_cpu_int8 [2023-07-07 19:57:29,015] torch.onnx: [WARNING] FX Node: call_function:aten.dot.default[name=dot]. 2023-07-07T19:59:25.2921691Z ONNX Node: aten_dot[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2921697Z 2023-07-07T19:59:25.2921892Z [2023-07-07 19:57:29,016] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2922094Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2922104Z 2023-07-07T19:59:25.2922275Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2922542Z - self: 2023-07-07T19:59:25.2922710Z - node: fx.Node(dot[call_function]'aten.dot.default') 2023-07-07T19:59:25.2922822Z - aten_name: 2023-07-07T19:59:25.2922954Z - function_overloads: 2023-07-07T19:59:25.2923068Z - onnx_args: 2023-07-07T19:59:25.2923189Z - onnx_kwargs: 2023-07-07T19:59:25.2923496Z - diagnostic_context: 2023-07-07T19:59:25.2923625Z - Return value: `OnnxFunction(aten_dot)` 2023-07-07T19:59:25.2923699Z XFAIL [0.0441s] [ 55%] 2023-07-07T19:59:25.2924151Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_dot_cpu_uint8 [2023-07-07 19:57:29,061] torch.onnx: [WARNING] FX Node: call_function:aten.dot.default[name=dot]. 2023-07-07T19:59:25.2924289Z ONNX Node: aten_dot[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2924294Z 2023-07-07T19:59:25.2924623Z [2023-07-07 19:57:29,061] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2924830Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2924836Z 2023-07-07T19:59:25.2925025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2925297Z - self: 2023-07-07T19:59:25.2925467Z - node: fx.Node(dot[call_function]'aten.dot.default') 2023-07-07T19:59:25.2925568Z - aten_name: 2023-07-07T19:59:25.2925699Z - function_overloads: 2023-07-07T19:59:25.2925816Z - onnx_args: 2023-07-07T19:59:25.2925938Z - onnx_kwargs: 2023-07-07T19:59:25.2926243Z - diagnostic_context: 2023-07-07T19:59:25.2926386Z - Return value: `OnnxFunction(aten_dot)` 2023-07-07T19:59:25.2926462Z XFAIL [0.0440s] [ 56%] 2023-07-07T19:59:25.2926688Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_bool PASSED [0.4830s] [ 56%] 2023-07-07T19:59:25.2927024Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_float16 PASSED [0.6012s] [ 56%] 2023-07-07T19:59:25.2927254Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_float32 PASSED [0.5311s] [ 56%] 2023-07-07T19:59:25.2927481Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_int16 XFAIL [0.0437s] [ 56%] 2023-07-07T19:59:25.2927712Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_int32 PASSED [0.5663s] [ 56%] 2023-07-07T19:59:25.2928001Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_int64 PASSED [0.5508s] [ 57%] 2023-07-07T19:59:25.2928226Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_int8 XFAIL [0.0499s] [ 57%] 2023-07-07T19:59:25.2928447Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_eq_cpu_uint8 XFAIL [0.0521s] [ 57%] 2023-07-07T19:59:25.2928681Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_bool XFAIL [0.0172s] [ 57%] 2023-07-07T19:59:25.2928912Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_float16 XFAIL [0.0159s] [ 57%] 2023-07-07T19:59:25.2929126Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_float32 XFAIL [0.0160s] [ 57%] 2023-07-07T19:59:25.2929359Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_int16 XFAIL [0.0166s] [ 58%] 2023-07-07T19:59:25.2929580Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_int32 XFAIL [0.0155s] [ 58%] 2023-07-07T19:59:25.2929797Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_int64 XFAIL [0.0159s] [ 58%] 2023-07-07T19:59:25.2930026Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_int8 XFAIL [0.0171s] [ 58%] 2023-07-07T19:59:25.2930247Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_equal_cpu_uint8 XFAIL [0.0152s] [ 58%] 2023-07-07T19:59:25.2930474Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_bool PASSED [0.0465s] [ 59%] 2023-07-07T19:59:25.2930709Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_float16 PASSED [0.0544s] [ 59%] 2023-07-07T19:59:25.2930933Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_float32 PASSED [0.0578s] [ 59%] 2023-07-07T19:59:25.2931158Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_int16 PASSED [0.0599s] [ 59%] 2023-07-07T19:59:25.2931368Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_int32 PASSED [0.0613s] [ 59%] 2023-07-07T19:59:25.2931593Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_int64 PASSED [0.0537s] [ 59%] 2023-07-07T19:59:25.2931819Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_int8 PASSED [0.0437s] [ 60%] 2023-07-07T19:59:25.2932048Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_erf_cpu_uint8 PASSED [0.0440s] [ 60%] 2023-07-07T19:59:25.2932277Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_bool PASSED [0.1260s] [ 60%] 2023-07-07T19:59:25.2932510Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_float16 PASSED [0.4233s] [ 60%] 2023-07-07T19:59:25.2932736Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_float32 PASSED [0.1939s] [ 60%] 2023-07-07T19:59:25.2933021Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_int16 PASSED [0.2315s] [ 60%] 2023-07-07T19:59:25.2933246Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_int32 PASSED [0.1885s] [ 61%] 2023-07-07T19:59:25.2933466Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_int64 PASSED [0.1733s] [ 61%] 2023-07-07T19:59:25.2933730Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_int8 PASSED [0.1734s] [ 61%] 2023-07-07T19:59:25.2933953Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp2_cpu_uint8 PASSED [0.1268s] [ 61%] 2023-07-07T19:59:25.2934179Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_bool PASSED [0.1517s] [ 61%] 2023-07-07T19:59:25.2934412Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_float16 PASSED [0.1879s] [ 62%] 2023-07-07T19:59:25.2934637Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_float32 PASSED [0.1596s] [ 62%] 2023-07-07T19:59:25.2934861Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_int16 PASSED [0.1778s] [ 62%] 2023-07-07T19:59:25.2935084Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_int32 PASSED [0.1945s] [ 62%] 2023-07-07T19:59:25.2935308Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_int64 PASSED [0.1734s] [ 62%] 2023-07-07T19:59:25.2935533Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_int8 PASSED [0.1783s] [ 62%] 2023-07-07T19:59:25.2935762Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_exp_cpu_uint8 PASSED [0.1750s] [ 63%] 2023-07-07T19:59:25.2936244Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_bool [2023-07-07 19:57:35,742] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2936371Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2936378Z 2023-07-07T19:59:25.2936578Z [2023-07-07 19:57:35,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2936785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2936791Z 2023-07-07T19:59:25.2936975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2937244Z - self: 2023-07-07T19:59:25.2937432Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2937546Z - aten_name: 2023-07-07T19:59:25.2937681Z - function_overloads: 2023-07-07T19:59:25.2937784Z - onnx_args: 2023-07-07T19:59:25.2937900Z - onnx_kwargs: 2023-07-07T19:59:25.2938201Z - diagnostic_context: 2023-07-07T19:59:25.2938352Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2938430Z PASSED [0.2204s] [ 63%] 2023-07-07T19:59:25.2938916Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_float16 [2023-07-07 19:57:35,950] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2939053Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2939059Z 2023-07-07T19:59:25.2939256Z [2023-07-07 19:57:35,950] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2939457Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2939518Z 2023-07-07T19:59:25.2939689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2939956Z - self: 2023-07-07T19:59:25.2940141Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2940317Z - aten_name: 2023-07-07T19:59:25.2940447Z - function_overloads: 2023-07-07T19:59:25.2940561Z - onnx_args: 2023-07-07T19:59:25.2940677Z - onnx_kwargs: 2023-07-07T19:59:25.2940969Z - diagnostic_context: 2023-07-07T19:59:25.2946418Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2946573Z PASSED [0.1898s] [ 63%] 2023-07-07T19:59:25.2947372Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_float32 [2023-07-07 19:57:36,142] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2947565Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2947591Z 2023-07-07T19:59:25.2947891Z [2023-07-07 19:57:36,142] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2948199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2948216Z 2023-07-07T19:59:25.2948496Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2948915Z - self: 2023-07-07T19:59:25.2949205Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2949379Z - aten_name: 2023-07-07T19:59:25.2949583Z - function_overloads: 2023-07-07T19:59:25.2949757Z - onnx_args: 2023-07-07T19:59:25.2949926Z - onnx_kwargs: 2023-07-07T19:59:25.2950388Z - diagnostic_context: 2023-07-07T19:59:25.2950616Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2950734Z PASSED [0.1931s] [ 63%] 2023-07-07T19:59:25.2951464Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_int16 [2023-07-07 19:57:36,334] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2951679Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2951688Z 2023-07-07T19:59:25.2951990Z [2023-07-07 19:57:36,334] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2952300Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2952309Z 2023-07-07T19:59:25.2952582Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2952987Z - self: 2023-07-07T19:59:25.2953281Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2953456Z - aten_name: 2023-07-07T19:59:25.2953627Z - function_overloads: 2023-07-07T19:59:25.2953747Z - onnx_args: 2023-07-07T19:59:25.2953869Z - onnx_kwargs: 2023-07-07T19:59:25.2954174Z - diagnostic_context: 2023-07-07T19:59:25.2954314Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2954395Z PASSED [0.1773s] [ 63%] 2023-07-07T19:59:25.2954959Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_int32 [2023-07-07 19:57:36,480] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2955241Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2955248Z 2023-07-07T19:59:25.2955450Z [2023-07-07 19:57:36,480] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2955656Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2955662Z 2023-07-07T19:59:25.2955846Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2956202Z - self: 2023-07-07T19:59:25.2956392Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2956493Z - aten_name: 2023-07-07T19:59:25.2956626Z - function_overloads: 2023-07-07T19:59:25.2956744Z - onnx_args: 2023-07-07T19:59:25.2956863Z - onnx_kwargs: 2023-07-07T19:59:25.2957170Z - diagnostic_context: 2023-07-07T19:59:25.2957329Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2957411Z PASSED [0.1516s] [ 64%] 2023-07-07T19:59:25.2957873Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_int64 [2023-07-07 19:57:36,639] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2958018Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2958024Z 2023-07-07T19:59:25.2958226Z [2023-07-07 19:57:36,639] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2958429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2958435Z 2023-07-07T19:59:25.2958621Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2958890Z - self: 2023-07-07T19:59:25.2959081Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2959196Z - aten_name: 2023-07-07T19:59:25.2959329Z - function_overloads: 2023-07-07T19:59:25.2959431Z - onnx_args: 2023-07-07T19:59:25.2959547Z - onnx_kwargs: 2023-07-07T19:59:25.2959850Z - diagnostic_context: 2023-07-07T19:59:25.2960004Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2960082Z PASSED [0.1429s] [ 64%] 2023-07-07T19:59:25.2960558Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_int8 [2023-07-07 19:57:36,780] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2960696Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2960702Z 2023-07-07T19:59:25.2960904Z [2023-07-07 19:57:36,780] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2961096Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2961114Z 2023-07-07T19:59:25.2961283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2961551Z - self: 2023-07-07T19:59:25.2961745Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2961857Z - aten_name: 2023-07-07T19:59:25.2961987Z - function_overloads: 2023-07-07T19:59:25.2962102Z - onnx_args: 2023-07-07T19:59:25.2962219Z - onnx_kwargs: 2023-07-07T19:59:25.2962510Z - diagnostic_context: 2023-07-07T19:59:25.2962662Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2962856Z PASSED [0.1393s] [ 64%] 2023-07-07T19:59:25.2963395Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_as_cpu_uint8 [2023-07-07 19:57:36,920] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2963538Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2963544Z 2023-07-07T19:59:25.2963808Z [2023-07-07 19:57:36,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2964014Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2964020Z 2023-07-07T19:59:25.2964205Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2964622Z - self: 2023-07-07T19:59:25.2964808Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2964925Z - aten_name: 2023-07-07T19:59:25.2965063Z - function_overloads: 2023-07-07T19:59:25.2965181Z - onnx_args: 2023-07-07T19:59:25.2965301Z - onnx_kwargs: 2023-07-07T19:59:25.2965610Z - diagnostic_context: 2023-07-07T19:59:25.2965767Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2965837Z PASSED [0.1410s] [ 64%] 2023-07-07T19:59:25.2966314Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_bool [2023-07-07 19:57:37,351] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2966456Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2966461Z 2023-07-07T19:59:25.2966663Z [2023-07-07 19:57:37,351] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2966871Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2966877Z 2023-07-07T19:59:25.2967063Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2967332Z - self: 2023-07-07T19:59:25.2967520Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2967637Z - aten_name: 2023-07-07T19:59:25.2967755Z - function_overloads: 2023-07-07T19:59:25.2967870Z - onnx_args: 2023-07-07T19:59:25.2967990Z - onnx_kwargs: 2023-07-07T19:59:25.2968294Z - diagnostic_context: 2023-07-07T19:59:25.2968444Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2968531Z PASSED [0.4268s] [ 64%] 2023-07-07T19:59:25.2969076Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_float16 [2023-07-07 19:57:37,766] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2969213Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2969219Z 2023-07-07T19:59:25.2969406Z [2023-07-07 19:57:37,766] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2969608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2969618Z 2023-07-07T19:59:25.2969800Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2970068Z - self: 2023-07-07T19:59:25.2970260Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2970375Z - aten_name: 2023-07-07T19:59:25.2970507Z - function_overloads: 2023-07-07T19:59:25.2970622Z - onnx_args: 2023-07-07T19:59:25.2970824Z - onnx_kwargs: 2023-07-07T19:59:25.2971140Z - diagnostic_context: 2023-07-07T19:59:25.2971293Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2971372Z PASSED [0.4116s] [ 64%] 2023-07-07T19:59:25.2971849Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_float32 [2023-07-07 19:57:38,387] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2972057Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2972063Z 2023-07-07T19:59:25.2972266Z [2023-07-07 19:57:38,388] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2972471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2972477Z 2023-07-07T19:59:25.2972664Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2972917Z - self: 2023-07-07T19:59:25.2973103Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2973219Z - aten_name: 2023-07-07T19:59:25.2973350Z - function_overloads: 2023-07-07T19:59:25.2973469Z - onnx_args: 2023-07-07T19:59:25.2973586Z - onnx_kwargs: 2023-07-07T19:59:25.2973889Z - diagnostic_context: 2023-07-07T19:59:25.2974026Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2974104Z PASSED [0.6302s] [ 65%] 2023-07-07T19:59:25.2974578Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int16 [2023-07-07 19:57:38,807] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2974721Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2974727Z 2023-07-07T19:59:25.2974927Z [2023-07-07 19:57:38,807] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2975130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2975136Z 2023-07-07T19:59:25.2975322Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2975587Z - self: 2023-07-07T19:59:25.2975775Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2975875Z - aten_name: 2023-07-07T19:59:25.2976006Z - function_overloads: 2023-07-07T19:59:25.2976121Z - onnx_args: 2023-07-07T19:59:25.2976238Z - onnx_kwargs: 2023-07-07T19:59:25.2976548Z - diagnostic_context: 2023-07-07T19:59:25.2976699Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2976776Z PASSED [0.4098s] [ 65%] 2023-07-07T19:59:25.2977252Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int32 [2023-07-07 19:57:39,241] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2977383Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2977404Z 2023-07-07T19:59:25.2977590Z [2023-07-07 19:57:39,242] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2977792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2977799Z 2023-07-07T19:59:25.2977980Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2978297Z - self: 2023-07-07T19:59:25.2978488Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2978602Z - aten_name: 2023-07-07T19:59:25.2978734Z - function_overloads: 2023-07-07T19:59:25.2978849Z - onnx_args: 2023-07-07T19:59:25.2978953Z - onnx_kwargs: 2023-07-07T19:59:25.2979257Z - diagnostic_context: 2023-07-07T19:59:25.2979482Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2979558Z PASSED [0.4376s] [ 65%] 2023-07-07T19:59:25.2980031Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int64 [2023-07-07 19:57:39,665] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2980169Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2980175Z 2023-07-07T19:59:25.2980378Z [2023-07-07 19:57:39,665] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2980579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2980585Z 2023-07-07T19:59:25.2980753Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2981020Z - self: 2023-07-07T19:59:25.2981211Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2981324Z - aten_name: 2023-07-07T19:59:25.2981462Z - function_overloads: 2023-07-07T19:59:25.2981578Z - onnx_args: 2023-07-07T19:59:25.2981695Z - onnx_kwargs: 2023-07-07T19:59:25.2982001Z - diagnostic_context: 2023-07-07T19:59:25.2982138Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2982216Z PASSED [0.4218s] [ 65%] 2023-07-07T19:59:25.2982688Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int8 [2023-07-07 19:57:40,150] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2982825Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2982830Z 2023-07-07T19:59:25.2983034Z [2023-07-07 19:57:40,150] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2983236Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2983242Z 2023-07-07T19:59:25.2983426Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2983691Z - self: 2023-07-07T19:59:25.2983878Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2983984Z - aten_name: 2023-07-07T19:59:25.2984119Z - function_overloads: 2023-07-07T19:59:25.2984235Z - onnx_args: 2023-07-07T19:59:25.2984352Z - onnx_kwargs: 2023-07-07T19:59:25.2984655Z - diagnostic_context: 2023-07-07T19:59:25.2984807Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2984888Z PASSED [0.4771s] [ 65%] 2023-07-07T19:59:25.2985350Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_uint8 [2023-07-07 19:57:40,600] torch.onnx: [WARNING] FX Node: call_function:aten.expand.default[name=expand]. 2023-07-07T19:59:25.2985488Z ONNX Node: aten_expand[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2985493Z 2023-07-07T19:59:25.2985690Z [2023-07-07 19:57:40,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2985950Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2985956Z 2023-07-07T19:59:25.2986140Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2986407Z - self: 2023-07-07T19:59:25.2986596Z - node: fx.Node(expand[call_function]'aten.expand.default') 2023-07-07T19:59:25.2986761Z - aten_name: 2023-07-07T19:59:25.2986893Z - function_overloads: 2023-07-07T19:59:25.2986995Z - onnx_args: 2023-07-07T19:59:25.2987110Z - onnx_kwargs: 2023-07-07T19:59:25.2987415Z - diagnostic_context: 2023-07-07T19:59:25.2987567Z - Return value: `OnnxFunction(aten_expand)` 2023-07-07T19:59:25.2987643Z PASSED [0.4661s] [ 65%] 2023-07-07T19:59:25.2987885Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_bool PASSED [0.1508s] [ 66%] 2023-07-07T19:59:25.2988120Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_float16 PASSED [0.1438s] [ 66%] 2023-07-07T19:59:25.2988351Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_float32 PASSED [0.1601s] [ 66%] 2023-07-07T19:59:25.2988570Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_int16 PASSED [0.1652s] [ 66%] 2023-07-07T19:59:25.2988799Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_int32 PASSED [0.1720s] [ 66%] 2023-07-07T19:59:25.2989021Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_int64 PASSED [0.1397s] [ 67%] 2023-07-07T19:59:25.2989251Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_int8 PASSED [0.1187s] [ 67%] 2023-07-07T19:59:25.2989478Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fill_cpu_uint8 PASSED [0.1213s] [ 67%] 2023-07-07T19:59:25.2989934Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_bool [2023-07-07 19:57:42,073] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.2990073Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2990079Z 2023-07-07T19:59:25.2990280Z [2023-07-07 19:57:42,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2990482Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2990488Z 2023-07-07T19:59:25.2990673Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2990928Z - self: 2023-07-07T19:59:25.2991110Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.2991223Z - aten_name: 2023-07-07T19:59:25.2991355Z - function_overloads: 2023-07-07T19:59:25.2991471Z - onnx_args: 2023-07-07T19:59:25.2991587Z - onnx_kwargs: 2023-07-07T19:59:25.2991890Z - diagnostic_context: 2023-07-07T19:59:25.2992041Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.2992278Z [2023-07-07 19:57:42,281] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.2992412Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2992417Z 2023-07-07T19:59:25.2992616Z [2023-07-07 19:57:42,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2992819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2992825Z 2023-07-07T19:59:25.2993060Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2993329Z - self: 2023-07-07T19:59:25.2993505Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.2993618Z - aten_name: 2023-07-07T19:59:25.2993787Z - function_overloads: 2023-07-07T19:59:25.2993903Z - onnx_args: 2023-07-07T19:59:25.2994019Z - onnx_kwargs: 2023-07-07T19:59:25.2994322Z - diagnostic_context: 2023-07-07T19:59:25.2994547Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.2994629Z PASSED [0.4316s] [ 67%] 2023-07-07T19:59:25.2995107Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_float16 [2023-07-07 19:57:42,523] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.2995246Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2995252Z 2023-07-07T19:59:25.2995438Z [2023-07-07 19:57:42,523] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2995642Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2995652Z 2023-07-07T19:59:25.2995839Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2996107Z - self: 2023-07-07T19:59:25.2996285Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.2996399Z - aten_name: 2023-07-07T19:59:25.2996532Z - function_overloads: 2023-07-07T19:59:25.2996647Z - onnx_args: 2023-07-07T19:59:25.2996750Z - onnx_kwargs: 2023-07-07T19:59:25.2997057Z - diagnostic_context: 2023-07-07T19:59:25.2997205Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.2997452Z [2023-07-07 19:57:42,949] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.2997585Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.2997596Z 2023-07-07T19:59:25.2997793Z [2023-07-07 19:57:42,949] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.2997996Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.2998002Z 2023-07-07T19:59:25.2998184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.2998450Z - self: 2023-07-07T19:59:25.2998613Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.2998729Z - aten_name: 2023-07-07T19:59:25.2998861Z - function_overloads: 2023-07-07T19:59:25.2998977Z - onnx_args: 2023-07-07T19:59:25.2999094Z - onnx_kwargs: 2023-07-07T19:59:25.2999398Z - diagnostic_context: 2023-07-07T19:59:25.2999547Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.2999613Z PASSED [0.6686s] [ 67%] 2023-07-07T19:59:25.3000077Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_float32 [2023-07-07 19:57:43,218] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3000212Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3000217Z 2023-07-07T19:59:25.3000416Z [2023-07-07 19:57:43,219] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3000679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3000685Z 2023-07-07T19:59:25.3000869Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3001139Z - self: 2023-07-07T19:59:25.3001316Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3001487Z - aten_name: 2023-07-07T19:59:25.3001606Z - function_overloads: 2023-07-07T19:59:25.3001721Z - onnx_args: 2023-07-07T19:59:25.3001891Z - onnx_kwargs: 2023-07-07T19:59:25.3002353Z - diagnostic_context: 2023-07-07T19:59:25.3002575Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3002954Z [2023-07-07 19:57:43,511] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3003161Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3003169Z 2023-07-07T19:59:25.3003469Z [2023-07-07 19:57:43,511] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3003760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3003768Z 2023-07-07T19:59:25.3004048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3004562Z - self: 2023-07-07T19:59:25.3004840Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3005015Z - aten_name: 2023-07-07T19:59:25.3005220Z - function_overloads: 2023-07-07T19:59:25.3005397Z - onnx_args: 2023-07-07T19:59:25.3005577Z - onnx_kwargs: 2023-07-07T19:59:25.3006031Z - diagnostic_context: 2023-07-07T19:59:25.3006255Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3006371Z PASSED [0.5601s] [ 67%] 2023-07-07T19:59:25.3007081Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_int16 [2023-07-07 19:57:43,778] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3007289Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3007297Z 2023-07-07T19:59:25.3007600Z [2023-07-07 19:57:43,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3007907Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3007915Z 2023-07-07T19:59:25.3008193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3008607Z - self: 2023-07-07T19:59:25.3008864Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3009038Z - aten_name: 2023-07-07T19:59:25.3009243Z - function_overloads: 2023-07-07T19:59:25.3009422Z - onnx_args: 2023-07-07T19:59:25.3009601Z - onnx_kwargs: 2023-07-07T19:59:25.3010061Z - diagnostic_context: 2023-07-07T19:59:25.3010287Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3010653Z [2023-07-07 19:57:43,998] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3010854Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3010862Z 2023-07-07T19:59:25.3011160Z [2023-07-07 19:57:43,998] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3011463Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3011574Z 2023-07-07T19:59:25.3011849Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3012263Z - self: 2023-07-07T19:59:25.3012530Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3012799Z - aten_name: 2023-07-07T19:59:25.3013000Z - function_overloads: 2023-07-07T19:59:25.3013159Z - onnx_args: 2023-07-07T19:59:25.3013336Z - onnx_kwargs: 2023-07-07T19:59:25.3013797Z - diagnostic_context: 2023-07-07T19:59:25.3014015Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3014133Z PASSED [0.4847s] [ 68%] 2023-07-07T19:59:25.3014864Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_int32 [2023-07-07 19:57:44,219] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3015067Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3015077Z 2023-07-07T19:59:25.3015311Z [2023-07-07 19:57:44,219] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3015503Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3015514Z 2023-07-07T19:59:25.3015702Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3015974Z - self: 2023-07-07T19:59:25.3016150Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3016268Z - aten_name: 2023-07-07T19:59:25.3016403Z - function_overloads: 2023-07-07T19:59:25.3016519Z - onnx_args: 2023-07-07T19:59:25.3016637Z - onnx_kwargs: 2023-07-07T19:59:25.3016933Z - diagnostic_context: 2023-07-07T19:59:25.3017080Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3017328Z [2023-07-07 19:57:44,449] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3017463Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3017473Z 2023-07-07T19:59:25.3017669Z [2023-07-07 19:57:44,449] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3017870Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3017876Z 2023-07-07T19:59:25.3018059Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3018329Z - self: 2023-07-07T19:59:25.3018497Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3018610Z - aten_name: 2023-07-07T19:59:25.3018742Z - function_overloads: 2023-07-07T19:59:25.3018857Z - onnx_args: 2023-07-07T19:59:25.3018973Z - onnx_kwargs: 2023-07-07T19:59:25.3019277Z - diagnostic_context: 2023-07-07T19:59:25.3019427Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3019494Z PASSED [0.4486s] [ 68%] 2023-07-07T19:59:25.3019955Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_int64 [2023-07-07 19:57:44,746] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3020091Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3020097Z 2023-07-07T19:59:25.3020297Z [2023-07-07 19:57:44,746] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3020570Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3020577Z 2023-07-07T19:59:25.3020760Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3021027Z - self: 2023-07-07T19:59:25.3021257Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3021370Z - aten_name: 2023-07-07T19:59:25.3021487Z - function_overloads: 2023-07-07T19:59:25.3021603Z - onnx_args: 2023-07-07T19:59:25.3021720Z - onnx_kwargs: 2023-07-07T19:59:25.3022028Z - diagnostic_context: 2023-07-07T19:59:25.3022174Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3022422Z [2023-07-07 19:57:44,991] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3022558Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3022564Z 2023-07-07T19:59:25.3022762Z [2023-07-07 19:57:44,991] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3022949Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3022972Z 2023-07-07T19:59:25.3023140Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3023407Z - self: 2023-07-07T19:59:25.3023582Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3023695Z - aten_name: 2023-07-07T19:59:25.3023827Z - function_overloads: 2023-07-07T19:59:25.3023942Z - onnx_args: 2023-07-07T19:59:25.3024060Z - onnx_kwargs: 2023-07-07T19:59:25.3024457Z - diagnostic_context: 2023-07-07T19:59:25.3024606Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3024687Z PASSED [0.5418s] [ 68%] 2023-07-07T19:59:25.3025150Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_int8 [2023-07-07 19:57:45,398] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3025291Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3025297Z 2023-07-07T19:59:25.3025497Z [2023-07-07 19:57:45,398] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3025702Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3025708Z 2023-07-07T19:59:25.3025893Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3026169Z - self: 2023-07-07T19:59:25.3026331Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3026447Z - aten_name: 2023-07-07T19:59:25.3026580Z - function_overloads: 2023-07-07T19:59:25.3026699Z - onnx_args: 2023-07-07T19:59:25.3026819Z - onnx_kwargs: 2023-07-07T19:59:25.3027129Z - diagnostic_context: 2023-07-07T19:59:25.3027278Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3027512Z [2023-07-07 19:57:45,755] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3027648Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3027654Z 2023-07-07T19:59:25.3027850Z [2023-07-07 19:57:45,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3028104Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3028110Z 2023-07-07T19:59:25.3028295Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3028563Z - self: 2023-07-07T19:59:25.3028737Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3028905Z - aten_name: 2023-07-07T19:59:25.3029037Z - function_overloads: 2023-07-07T19:59:25.3029139Z - onnx_args: 2023-07-07T19:59:25.3029254Z - onnx_kwargs: 2023-07-07T19:59:25.3029556Z - diagnostic_context: 2023-07-07T19:59:25.3029701Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3029778Z PASSED [0.7742s] [ 68%] 2023-07-07T19:59:25.3030244Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flip_cpu_uint8 [2023-07-07 19:57:46,065] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3030377Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3030384Z 2023-07-07T19:59:25.3030584Z [2023-07-07 19:57:46,065] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3030773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3030797Z 2023-07-07T19:59:25.3030967Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3031235Z - self: 2023-07-07T19:59:25.3031488Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3031617Z - aten_name: 2023-07-07T19:59:25.3031748Z - function_overloads: 2023-07-07T19:59:25.3031863Z - onnx_args: 2023-07-07T19:59:25.3031984Z - onnx_kwargs: 2023-07-07T19:59:25.3032278Z - diagnostic_context: 2023-07-07T19:59:25.3032424Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3032675Z [2023-07-07 19:57:46,320] torch.onnx: [WARNING] FX Node: call_function:aten.flip.default[name=flip]. 2023-07-07T19:59:25.3032810Z ONNX Node: aten_flip[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3032820Z 2023-07-07T19:59:25.3033020Z [2023-07-07 19:57:46,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3033222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3033227Z 2023-07-07T19:59:25.3033410Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3033677Z - self: 2023-07-07T19:59:25.3033857Z - node: fx.Node(flip[call_function]'aten.flip.default') 2023-07-07T19:59:25.3033957Z - aten_name: 2023-07-07T19:59:25.3034088Z - function_overloads: 2023-07-07T19:59:25.3034203Z - onnx_args: 2023-07-07T19:59:25.3034318Z - onnx_kwargs: 2023-07-07T19:59:25.3034705Z - diagnostic_context: 2023-07-07T19:59:25.3034862Z - Return value: `OnnxFunction(aten_flip)` 2023-07-07T19:59:25.3034941Z PASSED [0.5506s] [ 68%] 2023-07-07T19:59:25.3035170Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_floor_cpu_float16 PASSED [0.0683s] [ 68%] 2023-07-07T19:59:25.3035409Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_floor_cpu_float32 PASSED [0.0560s] [ 69%] 2023-07-07T19:59:25.3035944Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_floor_cpu_int16 [2023-07-07 19:57:46,494] torch.onnx: [WARNING] FX Node: call_function:aten.floor.default[name=floor]. 2023-07-07T19:59:25.3036082Z ONNX Node: aten_floor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3036087Z 2023-07-07T19:59:25.3036287Z [2023-07-07 19:57:46,494] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3036489Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3036549Z 2023-07-07T19:59:25.3036732Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3036999Z - self: 2023-07-07T19:59:25.3037181Z - node: fx.Node(floor[call_function]'aten.floor.default') 2023-07-07T19:59:25.3037281Z - aten_name: 2023-07-07T19:59:25.3037412Z - function_overloads: 2023-07-07T19:59:25.3037528Z - onnx_args: 2023-07-07T19:59:25.3037653Z - onnx_kwargs: 2023-07-07T19:59:25.3037958Z - diagnostic_context: 2023-07-07T19:59:25.3038106Z - Return value: `OnnxFunction(aten_floor)` 2023-07-07T19:59:25.3038184Z XFAIL [0.0408s] [ 69%] 2023-07-07T19:59:25.3038646Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_floor_cpu_int32 [2023-07-07 19:57:46,535] torch.onnx: [WARNING] FX Node: call_function:aten.floor.default[name=floor]. 2023-07-07T19:59:25.3038773Z ONNX Node: aten_floor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3038791Z 2023-07-07T19:59:25.3038977Z [2023-07-07 19:57:46,535] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3039177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3039183Z 2023-07-07T19:59:25.3039369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3039639Z - self: 2023-07-07T19:59:25.3039821Z - node: fx.Node(floor[call_function]'aten.floor.default') 2023-07-07T19:59:25.3039933Z - aten_name: 2023-07-07T19:59:25.3040064Z - function_overloads: 2023-07-07T19:59:25.3040166Z - onnx_args: 2023-07-07T19:59:25.3040286Z - onnx_kwargs: 2023-07-07T19:59:25.3040591Z - diagnostic_context: 2023-07-07T19:59:25.3040737Z - Return value: `OnnxFunction(aten_floor)` 2023-07-07T19:59:25.3040812Z XFAIL [0.0398s] [ 69%] 2023-07-07T19:59:25.3041272Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_floor_cpu_int64 [2023-07-07 19:57:46,578] torch.onnx: [WARNING] FX Node: call_function:aten.floor.default[name=floor]. 2023-07-07T19:59:25.3041410Z ONNX Node: aten_floor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3041416Z 2023-07-07T19:59:25.3041614Z [2023-07-07 19:57:46,578] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3041815Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3041822Z 2023-07-07T19:59:25.3041991Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3042265Z - self: 2023-07-07T19:59:25.3042446Z - node: fx.Node(floor[call_function]'aten.floor.default') 2023-07-07T19:59:25.3042560Z - aten_name: 2023-07-07T19:59:25.3042692Z - function_overloads: 2023-07-07T19:59:25.3042809Z - onnx_args: 2023-07-07T19:59:25.3042927Z - onnx_kwargs: 2023-07-07T19:59:25.3043233Z - diagnostic_context: 2023-07-07T19:59:25.3043462Z - Return value: `OnnxFunction(aten_floor)` 2023-07-07T19:59:25.3043541Z XFAIL [0.0409s] [ 69%] 2023-07-07T19:59:25.3044005Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_floor_cpu_int8 [2023-07-07 19:57:46,621] torch.onnx: [WARNING] FX Node: call_function:aten.floor.default[name=floor]. 2023-07-07T19:59:25.3044195Z ONNX Node: aten_floor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3044201Z 2023-07-07T19:59:25.3044536Z [2023-07-07 19:57:46,621] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3044751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3044757Z 2023-07-07T19:59:25.3044946Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3045219Z - self: 2023-07-07T19:59:25.3045405Z - node: fx.Node(floor[call_function]'aten.floor.default') 2023-07-07T19:59:25.3045506Z - aten_name: 2023-07-07T19:59:25.3045636Z - function_overloads: 2023-07-07T19:59:25.3045753Z - onnx_args: 2023-07-07T19:59:25.3045871Z - onnx_kwargs: 2023-07-07T19:59:25.3046179Z - diagnostic_context: 2023-07-07T19:59:25.3046333Z - Return value: `OnnxFunction(aten_floor)` 2023-07-07T19:59:25.3046409Z XFAIL [0.0418s] [ 69%] 2023-07-07T19:59:25.3046865Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_floor_cpu_uint8 [2023-07-07 19:57:46,665] torch.onnx: [WARNING] FX Node: call_function:aten.floor.default[name=floor]. 2023-07-07T19:59:25.3047002Z ONNX Node: aten_floor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3047008Z 2023-07-07T19:59:25.3047206Z [2023-07-07 19:57:46,665] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3047413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3047419Z 2023-07-07T19:59:25.3047601Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3047868Z - self: 2023-07-07T19:59:25.3048053Z - node: fx.Node(floor[call_function]'aten.floor.default') 2023-07-07T19:59:25.3048169Z - aten_name: 2023-07-07T19:59:25.3048301Z - function_overloads: 2023-07-07T19:59:25.3048405Z - onnx_args: 2023-07-07T19:59:25.3048519Z - onnx_kwargs: 2023-07-07T19:59:25.3048822Z - diagnostic_context: 2023-07-07T19:59:25.3048970Z - Return value: `OnnxFunction(aten_floor)` 2023-07-07T19:59:25.3049044Z XFAIL [0.0406s] [ 70%] 2023-07-07T19:59:25.3049285Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fmod_cpu_float16 PASSED [0.5692s] [ 70%] 2023-07-07T19:59:25.3049517Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fmod_cpu_float32 PASSED [0.6024s] [ 70%] 2023-07-07T19:59:25.3049746Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fmod_cpu_int16 PASSED [0.6577s] [ 70%] 2023-07-07T19:59:25.3049963Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fmod_cpu_int32 PASSED [0.4337s] [ 70%] 2023-07-07T19:59:25.3050185Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fmod_cpu_int64 PASSED [0.4951s] [ 70%] 2023-07-07T19:59:25.3050412Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fmod_cpu_int8 PASSED [0.5357s] [ 71%] 2023-07-07T19:59:25.3050728Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_fmod_cpu_uint8 PASSED [0.4941s] [ 71%] 2023-07-07T19:59:25.3051187Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_bool [2023-07-07 19:57:50,519] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3051322Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3051392Z 2023-07-07T19:59:25.3051596Z [2023-07-07 19:57:50,519] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3051803Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3051808Z 2023-07-07T19:59:25.3051992Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3052260Z - self: 2023-07-07T19:59:25.3052425Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3052543Z - aten_name: 2023-07-07T19:59:25.3052676Z - function_overloads: 2023-07-07T19:59:25.3052791Z - onnx_args: 2023-07-07T19:59:25.3052907Z - onnx_kwargs: 2023-07-07T19:59:25.3053208Z - diagnostic_context: 2023-07-07T19:59:25.3053358Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3053591Z [2023-07-07 19:57:50,566] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3053724Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3053730Z 2023-07-07T19:59:25.3053928Z [2023-07-07 19:57:50,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3054129Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3054135Z 2023-07-07T19:59:25.3054321Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3054589Z - self: 2023-07-07T19:59:25.3054764Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3054876Z - aten_name: 2023-07-07T19:59:25.3055010Z - function_overloads: 2023-07-07T19:59:25.3055119Z - onnx_args: 2023-07-07T19:59:25.3055234Z - onnx_kwargs: 2023-07-07T19:59:25.3055540Z - diagnostic_context: 2023-07-07T19:59:25.3055684Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3055930Z [2023-07-07 19:57:50,605] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3056065Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3056072Z 2023-07-07T19:59:25.3056271Z [2023-07-07 19:57:50,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3056472Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3056478Z 2023-07-07T19:59:25.3056647Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3056914Z - self: 2023-07-07T19:59:25.3057091Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3057206Z - aten_name: 2023-07-07T19:59:25.3057337Z - function_overloads: 2023-07-07T19:59:25.3057450Z - onnx_args: 2023-07-07T19:59:25.3057568Z - onnx_kwargs: 2023-07-07T19:59:25.3057855Z - diagnostic_context: 2023-07-07T19:59:25.3058000Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3058301Z [2023-07-07 19:57:50,644] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3058438Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3058443Z 2023-07-07T19:59:25.3058641Z [2023-07-07 19:57:50,644] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3058845Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3058900Z 2023-07-07T19:59:25.3059084Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3059351Z - self: 2023-07-07T19:59:25.3059529Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3059629Z - aten_name: 2023-07-07T19:59:25.3059773Z - function_overloads: 2023-07-07T19:59:25.3059950Z - onnx_args: 2023-07-07T19:59:25.3060128Z - onnx_kwargs: 2023-07-07T19:59:25.3060598Z - diagnostic_context: 2023-07-07T19:59:25.3060819Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3060939Z PASSED [0.1789s] [ 71%] 2023-07-07T19:59:25.3061637Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_float16 [2023-07-07 19:57:50,723] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3061826Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3061835Z 2023-07-07T19:59:25.3062134Z [2023-07-07 19:57:50,723] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3062437Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3062445Z 2023-07-07T19:59:25.3062718Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3063130Z - self: 2023-07-07T19:59:25.3063392Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3063564Z - aten_name: 2023-07-07T19:59:25.3063762Z - function_overloads: 2023-07-07T19:59:25.3063920Z - onnx_args: 2023-07-07T19:59:25.3064103Z - onnx_kwargs: 2023-07-07T19:59:25.3064566Z - diagnostic_context: 2023-07-07T19:59:25.3064788Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3065159Z [2023-07-07 19:57:50,804] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3065355Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3065363Z 2023-07-07T19:59:25.3065660Z [2023-07-07 19:57:50,804] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3065969Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3065978Z 2023-07-07T19:59:25.3066250Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3066644Z - self: 2023-07-07T19:59:25.3066916Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3067085Z - aten_name: 2023-07-07T19:59:25.3067285Z - function_overloads: 2023-07-07T19:59:25.3067461Z - onnx_args: 2023-07-07T19:59:25.3067639Z - onnx_kwargs: 2023-07-07T19:59:25.3068105Z - diagnostic_context: 2023-07-07T19:59:25.3068310Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3068430Z PASSED [0.1584s] [ 71%] 2023-07-07T19:59:25.3069204Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_float32 [2023-07-07 19:57:50,912] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3069406Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3069414Z 2023-07-07T19:59:25.3069712Z [2023-07-07 19:57:50,912] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3070090Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3070099Z 2023-07-07T19:59:25.3070371Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3070780Z - self: 2023-07-07T19:59:25.3071024Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3071169Z - aten_name: 2023-07-07T19:59:25.3071376Z - function_overloads: 2023-07-07T19:59:25.3071563Z - onnx_args: 2023-07-07T19:59:25.3071698Z - onnx_kwargs: 2023-07-07T19:59:25.3072004Z - diagnostic_context: 2023-07-07T19:59:25.3072151Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3072396Z [2023-07-07 19:57:51,022] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3072521Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3072541Z 2023-07-07T19:59:25.3072725Z [2023-07-07 19:57:51,022] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3072927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3072933Z 2023-07-07T19:59:25.3073116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3073387Z - self: 2023-07-07T19:59:25.3073563Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3073678Z - aten_name: 2023-07-07T19:59:25.3073812Z - function_overloads: 2023-07-07T19:59:25.3073927Z - onnx_args: 2023-07-07T19:59:25.3074032Z - onnx_kwargs: 2023-07-07T19:59:25.3074341Z - diagnostic_context: 2023-07-07T19:59:25.3074587Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3074669Z PASSED [0.2161s] [ 71%] 2023-07-07T19:59:25.3075133Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_int16 [2023-07-07 19:57:51,062] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3075269Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3075275Z 2023-07-07T19:59:25.3075479Z [2023-07-07 19:57:51,062] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3075683Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3075689Z 2023-07-07T19:59:25.3075872Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3076127Z - self: 2023-07-07T19:59:25.3076307Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3076422Z - aten_name: 2023-07-07T19:59:25.3076561Z - function_overloads: 2023-07-07T19:59:25.3076676Z - onnx_args: 2023-07-07T19:59:25.3076792Z - onnx_kwargs: 2023-07-07T19:59:25.3077094Z - diagnostic_context: 2023-07-07T19:59:25.3077226Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3077562Z [2023-07-07 19:57:51,100] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3077697Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3077703Z 2023-07-07T19:59:25.3077903Z [2023-07-07 19:57:51,101] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3078106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3078182Z 2023-07-07T19:59:25.3078370Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3078640Z - self: 2023-07-07T19:59:25.3078819Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3078935Z - aten_name: 2023-07-07T19:59:25.3079053Z - function_overloads: 2023-07-07T19:59:25.3079169Z - onnx_args: 2023-07-07T19:59:25.3079292Z - onnx_kwargs: 2023-07-07T19:59:25.3079599Z - diagnostic_context: 2023-07-07T19:59:25.3079745Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3079992Z [2023-07-07 19:57:51,140] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3080129Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3080135Z 2023-07-07T19:59:25.3080318Z [2023-07-07 19:57:51,140] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3080520Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3080525Z 2023-07-07T19:59:25.3080709Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3081080Z - self: 2023-07-07T19:59:25.3081262Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3081377Z - aten_name: 2023-07-07T19:59:25.3081512Z - function_overloads: 2023-07-07T19:59:25.3081630Z - onnx_args: 2023-07-07T19:59:25.3081734Z - onnx_kwargs: 2023-07-07T19:59:25.3082041Z - diagnostic_context: 2023-07-07T19:59:25.3082191Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3082439Z [2023-07-07 19:57:51,179] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3082574Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3082581Z 2023-07-07T19:59:25.3082779Z [2023-07-07 19:57:51,179] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3082982Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3082988Z 2023-07-07T19:59:25.3083180Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3083451Z - self: 2023-07-07T19:59:25.3083613Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3083728Z - aten_name: 2023-07-07T19:59:25.3083866Z - function_overloads: 2023-07-07T19:59:25.3083985Z - onnx_args: 2023-07-07T19:59:25.3084102Z - onnx_kwargs: 2023-07-07T19:59:25.3084533Z - diagnostic_context: 2023-07-07T19:59:25.3084693Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3084760Z PASSED [0.1552s] [ 71%] 2023-07-07T19:59:25.3085316Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_int32 [2023-07-07 19:57:51,218] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3085455Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3085460Z 2023-07-07T19:59:25.3085660Z [2023-07-07 19:57:51,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3085865Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3085937Z 2023-07-07T19:59:25.3086173Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3086457Z - self: 2023-07-07T19:59:25.3086633Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3086749Z - aten_name: 2023-07-07T19:59:25.3086894Z - function_overloads: 2023-07-07T19:59:25.3087010Z - onnx_args: 2023-07-07T19:59:25.3087129Z - onnx_kwargs: 2023-07-07T19:59:25.3087439Z - diagnostic_context: 2023-07-07T19:59:25.3087586Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3087835Z [2023-07-07 19:57:51,262] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3087970Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3087980Z 2023-07-07T19:59:25.3088179Z [2023-07-07 19:57:51,263] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3088370Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3088389Z 2023-07-07T19:59:25.3088560Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3088828Z - self: 2023-07-07T19:59:25.3089002Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3089121Z - aten_name: 2023-07-07T19:59:25.3089255Z - function_overloads: 2023-07-07T19:59:25.3089370Z - onnx_args: 2023-07-07T19:59:25.3089490Z - onnx_kwargs: 2023-07-07T19:59:25.3089784Z - diagnostic_context: 2023-07-07T19:59:25.3089932Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3090179Z [2023-07-07 19:57:51,301] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3090312Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3090318Z 2023-07-07T19:59:25.3090514Z [2023-07-07 19:57:51,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3090713Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3090719Z 2023-07-07T19:59:25.3090904Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3091172Z - self: 2023-07-07T19:59:25.3091347Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3091447Z - aten_name: 2023-07-07T19:59:25.3091580Z - function_overloads: 2023-07-07T19:59:25.3091699Z - onnx_args: 2023-07-07T19:59:25.3091816Z - onnx_kwargs: 2023-07-07T19:59:25.3092121Z - diagnostic_context: 2023-07-07T19:59:25.3092265Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3092512Z [2023-07-07 19:57:51,340] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3092631Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3092637Z 2023-07-07T19:59:25.3092892Z [2023-07-07 19:57:51,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3093095Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3093100Z 2023-07-07T19:59:25.3093283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3093551Z - self: 2023-07-07T19:59:25.3093781Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3093894Z - aten_name: 2023-07-07T19:59:25.3094026Z - function_overloads: 2023-07-07T19:59:25.3094128Z - onnx_args: 2023-07-07T19:59:25.3094244Z - onnx_kwargs: 2023-07-07T19:59:25.3094549Z - diagnostic_context: 2023-07-07T19:59:25.3094695Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3094773Z PASSED [0.1601s] [ 72%] 2023-07-07T19:59:25.3095237Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_int64 [2023-07-07 19:57:51,380] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3095372Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3095378Z 2023-07-07T19:59:25.3095576Z [2023-07-07 19:57:51,381] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3095785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3095791Z 2023-07-07T19:59:25.3095959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3096226Z - self: 2023-07-07T19:59:25.3096399Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3096512Z - aten_name: 2023-07-07T19:59:25.3096648Z - function_overloads: 2023-07-07T19:59:25.3096764Z - onnx_args: 2023-07-07T19:59:25.3096881Z - onnx_kwargs: 2023-07-07T19:59:25.3097169Z - diagnostic_context: 2023-07-07T19:59:25.3097314Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3097561Z [2023-07-07 19:57:51,418] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3097695Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3097700Z 2023-07-07T19:59:25.3097897Z [2023-07-07 19:57:51,418] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3098100Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3098105Z 2023-07-07T19:59:25.3098288Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3098561Z - self: 2023-07-07T19:59:25.3098736Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3098836Z - aten_name: 2023-07-07T19:59:25.3098971Z - function_overloads: 2023-07-07T19:59:25.3099086Z - onnx_args: 2023-07-07T19:59:25.3099205Z - onnx_kwargs: 2023-07-07T19:59:25.3099510Z - diagnostic_context: 2023-07-07T19:59:25.3099652Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3099896Z [2023-07-07 19:57:51,462] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3100029Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3100035Z 2023-07-07T19:59:25.3100218Z [2023-07-07 19:57:51,462] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3100492Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3100498Z 2023-07-07T19:59:25.3100681Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3100949Z - self: 2023-07-07T19:59:25.3101175Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3101289Z - aten_name: 2023-07-07T19:59:25.3101423Z - function_overloads: 2023-07-07T19:59:25.3101540Z - onnx_args: 2023-07-07T19:59:25.3101644Z - onnx_kwargs: 2023-07-07T19:59:25.3101946Z - diagnostic_context: 2023-07-07T19:59:25.3102094Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3102342Z [2023-07-07 19:57:51,501] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3102479Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3102485Z 2023-07-07T19:59:25.3102688Z [2023-07-07 19:57:51,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3102892Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3102902Z 2023-07-07T19:59:25.3103087Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3103593Z - self: 2023-07-07T19:59:25.3104012Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3104293Z - aten_name: 2023-07-07T19:59:25.3104531Z - function_overloads: 2023-07-07T19:59:25.3104786Z - onnx_args: 2023-07-07T19:59:25.3105027Z - onnx_kwargs: 2023-07-07T19:59:25.3105450Z - diagnostic_context: 2023-07-07T19:59:25.3105864Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3106081Z PASSED [0.1594s] [ 72%] 2023-07-07T19:59:25.3106659Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_int8 [2023-07-07 19:57:51,554] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3107107Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3107277Z 2023-07-07T19:59:25.3107477Z [2023-07-07 19:57:51,554] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3107842Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3108069Z 2023-07-07T19:59:25.3108257Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3108728Z - self: 2023-07-07T19:59:25.3109136Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3109412Z - aten_name: 2023-07-07T19:59:25.3109653Z - function_overloads: 2023-07-07T19:59:25.3109907Z - onnx_args: 2023-07-07T19:59:25.3110149Z - onnx_kwargs: 2023-07-07T19:59:25.3110566Z - diagnostic_context: 2023-07-07T19:59:25.3110976Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3111364Z [2023-07-07 19:57:51,607] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3111690Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3111859Z 2023-07-07T19:59:25.3112044Z [2023-07-07 19:57:51,608] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3112495Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3112731Z 2023-07-07T19:59:25.3112919Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3113401Z - self: 2023-07-07T19:59:25.3113793Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3114125Z - aten_name: 2023-07-07T19:59:25.3114375Z - function_overloads: 2023-07-07T19:59:25.3114697Z - onnx_args: 2023-07-07T19:59:25.3114939Z - onnx_kwargs: 2023-07-07T19:59:25.3115371Z - diagnostic_context: 2023-07-07T19:59:25.3115811Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3116191Z [2023-07-07 19:57:51,677] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3116525Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3116697Z 2023-07-07T19:59:25.3116897Z [2023-07-07 19:57:51,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3117251Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3117481Z 2023-07-07T19:59:25.3117669Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3118149Z - self: 2023-07-07T19:59:25.3118558Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3118817Z - aten_name: 2023-07-07T19:59:25.3119075Z - function_overloads: 2023-07-07T19:59:25.3119321Z - onnx_args: 2023-07-07T19:59:25.3119543Z - onnx_kwargs: 2023-07-07T19:59:25.3119974Z - diagnostic_context: 2023-07-07T19:59:25.3120400Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3120790Z [2023-07-07 19:57:51,743] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3121109Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3121276Z 2023-07-07T19:59:25.3121480Z [2023-07-07 19:57:51,744] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3121848Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3122077Z 2023-07-07T19:59:25.3122250Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3122730Z - self: 2023-07-07T19:59:25.3123138Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3123415Z - aten_name: 2023-07-07T19:59:25.3123712Z - function_overloads: 2023-07-07T19:59:25.3124099Z - onnx_args: 2023-07-07T19:59:25.3124566Z - onnx_kwargs: 2023-07-07T19:59:25.3124995Z - diagnostic_context: 2023-07-07T19:59:25.3125405Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3125624Z PASSED [0.2420s] [ 72%] 2023-07-07T19:59:25.3126206Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_cpu_uint8 [2023-07-07 19:57:51,798] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3126663Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3126835Z 2023-07-07T19:59:25.3127035Z [2023-07-07 19:57:51,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3127397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3127624Z 2023-07-07T19:59:25.3127924Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3128415Z - self: 2023-07-07T19:59:25.3128832Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3129091Z - aten_name: 2023-07-07T19:59:25.3129423Z - function_overloads: 2023-07-07T19:59:25.3129673Z - onnx_args: 2023-07-07T19:59:25.3129896Z - onnx_kwargs: 2023-07-07T19:59:25.3130327Z - diagnostic_context: 2023-07-07T19:59:25.3130734Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3131108Z [2023-07-07 19:57:51,863] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3131433Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3131600Z 2023-07-07T19:59:25.3131806Z [2023-07-07 19:57:51,863] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3132165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3132378Z 2023-07-07T19:59:25.3132564Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3133046Z - self: 2023-07-07T19:59:25.3133475Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3133748Z - aten_name: 2023-07-07T19:59:25.3133993Z - function_overloads: 2023-07-07T19:59:25.3134255Z - onnx_args: 2023-07-07T19:59:25.3134493Z - onnx_kwargs: 2023-07-07T19:59:25.3134908Z - diagnostic_context: 2023-07-07T19:59:25.3135308Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3135841Z [2023-07-07 19:57:51,903] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3136174Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3136339Z 2023-07-07T19:59:25.3136528Z [2023-07-07 19:57:51,903] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3136889Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3137121Z 2023-07-07T19:59:25.3137306Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3137806Z - self: 2023-07-07T19:59:25.3138213Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3138476Z - aten_name: 2023-07-07T19:59:25.3138728Z - function_overloads: 2023-07-07T19:59:25.3138975Z - onnx_args: 2023-07-07T19:59:25.3139202Z - onnx_kwargs: 2023-07-07T19:59:25.3139627Z - diagnostic_context: 2023-07-07T19:59:25.3140029Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3140403Z [2023-07-07 19:57:51,944] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T19:59:25.3140733Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3140900Z 2023-07-07T19:59:25.3141101Z [2023-07-07 19:57:51,944] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3141462Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3141706Z 2023-07-07T19:59:25.3141972Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3142667Z - self: 2023-07-07T19:59:25.3143482Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T19:59:25.3143750Z - aten_name: 2023-07-07T19:59:25.3144001Z - function_overloads: 2023-07-07T19:59:25.3144249Z - onnx_args: 2023-07-07T19:59:25.3144473Z - onnx_kwargs: 2023-07-07T19:59:25.3144901Z - diagnostic_context: 2023-07-07T19:59:25.3145385Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T19:59:25.3145604Z PASSED [0.2059s] [ 72%] 2023-07-07T19:59:25.3145956Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_bool PASSED [0.3974s] [ 72%] 2023-07-07T19:59:25.3146456Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_float16 PASSED [0.4297s] [ 73%] 2023-07-07T19:59:25.3146952Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_float32 PASSED [0.4383s] [ 73%] 2023-07-07T19:59:25.3147433Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_int16 PASSED [0.6572s] [ 73%] 2023-07-07T19:59:25.3147909Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_int32 PASSED [0.3986s] [ 73%] 2023-07-07T19:59:25.3148395Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_int64 PASSED [0.3354s] [ 73%] 2023-07-07T19:59:25.3148880Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_int8 PASSED [0.3021s] [ 73%] 2023-07-07T19:59:25.3149361Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_full_like_cpu_uint8 PASSED [0.3459s] [ 74%] 2023-07-07T19:59:25.3150057Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_bool [2023-07-07 19:57:55,380] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3150504Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3150670Z 2023-07-07T19:59:25.3150868Z [2023-07-07 19:57:55,380] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3151232Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3151451Z 2023-07-07T19:59:25.3151639Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3152113Z - self: 2023-07-07T19:59:25.3152513Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3152768Z - aten_name: 2023-07-07T19:59:25.3153019Z - function_overloads: 2023-07-07T19:59:25.3153262Z - onnx_args: 2023-07-07T19:59:25.3153491Z - onnx_kwargs: 2023-07-07T19:59:25.3153921Z - diagnostic_context: 2023-07-07T19:59:25.3154322Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3154625Z PASSED [0.1056s] [ 74%] 2023-07-07T19:59:25.3155196Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_float16 [2023-07-07 19:57:55,487] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3155655Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3155822Z 2023-07-07T19:59:25.3156065Z [2023-07-07 19:57:55,488] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3156670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3157047Z 2023-07-07T19:59:25.3157452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3158281Z - self: 2023-07-07T19:59:25.3158965Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3159406Z - aten_name: 2023-07-07T19:59:25.3159841Z - function_overloads: 2023-07-07T19:59:25.3160261Z - onnx_args: 2023-07-07T19:59:25.3160722Z - onnx_kwargs: 2023-07-07T19:59:25.3161462Z - diagnostic_context: 2023-07-07T19:59:25.3162149Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3162509Z PASSED [0.1061s] [ 74%] 2023-07-07T19:59:25.3163504Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_float32 [2023-07-07 19:57:55,597] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3164274Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3164662Z 2023-07-07T19:59:25.3165008Z [2023-07-07 19:57:55,597] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3165616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3166005Z 2023-07-07T19:59:25.3166325Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3167152Z - self: 2023-07-07T19:59:25.3167830Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3168274Z - aten_name: 2023-07-07T19:59:25.3168707Z - function_overloads: 2023-07-07T19:59:25.3169126Z - onnx_args: 2023-07-07T19:59:25.3169517Z - onnx_kwargs: 2023-07-07T19:59:25.3170258Z - diagnostic_context: 2023-07-07T19:59:25.3170918Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3171277Z PASSED [0.1079s] [ 74%] 2023-07-07T19:59:25.3172266Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int16 [2023-07-07 19:57:55,704] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3173041Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3173327Z 2023-07-07T19:59:25.3173675Z [2023-07-07 19:57:55,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3174283Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3174671Z 2023-07-07T19:59:25.3174987Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3175811Z - self: 2023-07-07T19:59:25.3176505Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3176951Z - aten_name: 2023-07-07T19:59:25.3177383Z - function_overloads: 2023-07-07T19:59:25.3177813Z - onnx_args: 2023-07-07T19:59:25.3178208Z - onnx_kwargs: 2023-07-07T19:59:25.3178940Z - diagnostic_context: 2023-07-07T19:59:25.3179638Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3179986Z PASSED [0.1052s] [ 74%] 2023-07-07T19:59:25.3180988Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int32 [2023-07-07 19:57:55,823] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3181770Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3182054Z 2023-07-07T19:59:25.3182400Z [2023-07-07 19:57:55,824] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3183170Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3183568Z 2023-07-07T19:59:25.3183886Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3184718Z - self: 2023-07-07T19:59:25.3185501Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3185948Z - aten_name: 2023-07-07T19:59:25.3186385Z - function_overloads: 2023-07-07T19:59:25.3186808Z - onnx_args: 2023-07-07T19:59:25.3187202Z - onnx_kwargs: 2023-07-07T19:59:25.3187939Z - diagnostic_context: 2023-07-07T19:59:25.3188643Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3188995Z PASSED [0.1194s] [ 75%] 2023-07-07T19:59:25.3190004Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int64 [2023-07-07 19:57:55,975] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3190782Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3191069Z 2023-07-07T19:59:25.3191415Z [2023-07-07 19:57:55,975] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3192029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3192417Z 2023-07-07T19:59:25.3192731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3193546Z - self: 2023-07-07T19:59:25.3194231Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3194753Z - aten_name: 2023-07-07T19:59:25.3195189Z - function_overloads: 2023-07-07T19:59:25.3195621Z - onnx_args: 2023-07-07T19:59:25.3196015Z - onnx_kwargs: 2023-07-07T19:59:25.3196748Z - diagnostic_context: 2023-07-07T19:59:25.3197443Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3197790Z PASSED [0.1496s] [ 75%] 2023-07-07T19:59:25.3198786Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int8 [2023-07-07 19:57:56,132] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3199562Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3199845Z 2023-07-07T19:59:25.3200189Z [2023-07-07 19:57:56,133] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3200796Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3201179Z 2023-07-07T19:59:25.3201505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3202334Z - self: 2023-07-07T19:59:25.3203002Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3203450Z - aten_name: 2023-07-07T19:59:25.3203888Z - function_overloads: 2023-07-07T19:59:25.3204323Z - onnx_args: 2023-07-07T19:59:25.3204802Z - onnx_kwargs: 2023-07-07T19:59:25.3205546Z - diagnostic_context: 2023-07-07T19:59:25.3206237Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3206592Z PASSED [0.1648s] [ 75%] 2023-07-07T19:59:25.3207599Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_uint8 [2023-07-07 19:57:56,273] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T19:59:25.3208527Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3208824Z 2023-07-07T19:59:25.3209175Z [2023-07-07 19:57:56,273] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3209788Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3210183Z 2023-07-07T19:59:25.3210591Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3211425Z - self: 2023-07-07T19:59:25.3212111Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T19:59:25.3212554Z - aten_name: 2023-07-07T19:59:25.3212989Z - function_overloads: 2023-07-07T19:59:25.3213417Z - onnx_args: 2023-07-07T19:59:25.3213810Z - onnx_kwargs: 2023-07-07T19:59:25.3214562Z - diagnostic_context: 2023-07-07T19:59:25.3215249Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T19:59:25.3215591Z PASSED [0.1315s] [ 75%] 2023-07-07T19:59:25.3216654Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_bool [2023-07-07 19:57:56,353] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3217480Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3218011Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3218301Z 2023-07-07T19:59:25.3218647Z [2023-07-07 19:57:56,353] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3219267Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3219656Z 2023-07-07T19:59:25.3219982Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3220791Z - self: 2023-07-07T19:59:25.3221512Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3221992Z - aten_name: 2023-07-07T19:59:25.3222421Z - function_overloads: 2023-07-07T19:59:25.3222828Z - onnx_args: 2023-07-07T19:59:25.3223239Z - onnx_kwargs: 2023-07-07T19:59:25.3223968Z - diagnostic_context: 2023-07-07T19:59:25.3224660Z - Return value: `OnnxFunction(aten_index_put)` 2023-07-07T19:59:25.3225036Z XFAIL [0.0764s] [ 75%] 2023-07-07T19:59:25.3226080Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_float16 [2023-07-07 19:57:56,551] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3226919Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3227432Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3227738Z 2023-07-07T19:59:25.3228085Z [2023-07-07 19:57:56,551] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3228709Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3229105Z 2023-07-07T19:59:25.3229407Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3230232Z - self: 2023-07-07T19:59:25.3230951Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3231429Z - aten_name: 2023-07-07T19:59:25.3231845Z - function_overloads: 2023-07-07T19:59:25.3232268Z - onnx_args: 2023-07-07T19:59:25.3232677Z - onnx_kwargs: 2023-07-07T19:59:25.3233500Z - diagnostic_context: 2023-07-07T19:59:25.3234212Z - Return value: `OnnxFunction(aten_index_put)` 2023-07-07T19:59:25.3235003Z [2023-07-07 19:57:56,608] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3235569Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3236187Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3236495Z 2023-07-07T19:59:25.3236840Z [2023-07-07 19:57:56,609] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3237438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3237834Z 2023-07-07T19:59:25.3238134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3238965Z - self: 2023-07-07T19:59:25.3239610Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3240032Z - aten_name: 2023-07-07T19:59:25.3240397Z - function_overloads: 2023-07-07T19:59:25.3240767Z - onnx_args: 2023-07-07T19:59:25.3241119Z - onnx_kwargs: 2023-07-07T19:59:25.3241753Z - diagnostic_context: 2023-07-07T19:59:25.3242382Z - Return value: `OnnxFunction(aten_index_put_bool)` 2023-07-07T19:59:25.3242941Z XFAIL [0.0000s] (https://github.com/pytorch/pytorch/issues/101150 on certain dtypes not supported by the Dynamo Spec) [ 75%] 2023-07-07T19:59:25.3243636Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_float16 PASSED [0.2615s] [ 75%] 2023-07-07T19:59:25.3244875Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_float32 [2023-07-07 19:57:56,789] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3245606Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3246075Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3246340Z 2023-07-07T19:59:25.3246635Z [2023-07-07 19:57:56,790] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3247183Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3247520Z 2023-07-07T19:59:25.3247796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3248518Z - self: 2023-07-07T19:59:25.3249135Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3249559Z - aten_name: 2023-07-07T19:59:25.3249938Z - function_overloads: 2023-07-07T19:59:25.3250290Z - onnx_args: 2023-07-07T19:59:25.3250651Z - onnx_kwargs: 2023-07-07T19:59:25.3251297Z - diagnostic_context: 2023-07-07T19:59:25.3251920Z - Return value: `OnnxFunction(aten_index_put)` 2023-07-07T19:59:25.3252532Z [2023-07-07 19:57:56,859] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3253042Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3253507Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3253775Z 2023-07-07T19:59:25.3254068Z [2023-07-07 19:57:56,859] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3254608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3254945Z 2023-07-07T19:59:25.3255350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3256078Z - self: 2023-07-07T19:59:25.3256693Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3257112Z - aten_name: 2023-07-07T19:59:25.3257596Z - function_overloads: 2023-07-07T19:59:25.3257955Z - onnx_args: 2023-07-07T19:59:25.3258308Z - onnx_kwargs: 2023-07-07T19:59:25.3258953Z - diagnostic_context: 2023-07-07T19:59:25.3259574Z - Return value: `OnnxFunction(aten_index_put_bool)` 2023-07-07T19:59:25.3260119Z XFAIL [0.0000s] (https://github.com/pytorch/pytorch/issues/101150 on certain dtypes not supported by the Dynamo Spec) [ 76%] 2023-07-07T19:59:25.3260831Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_float32 PASSED [0.2506s] [ 76%] 2023-07-07T19:59:25.3261573Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_int16 XFAIL [0.0684s] [ 76%] 2023-07-07T19:59:25.3262666Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_int32 [2023-07-07 19:57:57,167] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3263368Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3263837Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3264103Z 2023-07-07T19:59:25.3264399Z [2023-07-07 19:57:57,167] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3264922Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3265260Z 2023-07-07T19:59:25.3265544Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3266261Z - self: 2023-07-07T19:59:25.3266889Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3267299Z - aten_name: 2023-07-07T19:59:25.3267682Z - function_overloads: 2023-07-07T19:59:25.3268052Z - onnx_args: 2023-07-07T19:59:25.3268402Z - onnx_kwargs: 2023-07-07T19:59:25.3269043Z - diagnostic_context: 2023-07-07T19:59:25.3269673Z - Return value: `OnnxFunction(aten_index_put)` 2023-07-07T19:59:25.3270284Z [2023-07-07 19:57:57,225] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3270795Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3271265Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3271532Z 2023-07-07T19:59:25.3271833Z [2023-07-07 19:57:57,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3272357Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3272699Z 2023-07-07T19:59:25.3272982Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3273699Z - self: 2023-07-07T19:59:25.3274329Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3274808Z - aten_name: 2023-07-07T19:59:25.3275185Z - function_overloads: 2023-07-07T19:59:25.3275555Z - onnx_args: 2023-07-07T19:59:25.3275899Z - onnx_kwargs: 2023-07-07T19:59:25.3276615Z - diagnostic_context: 2023-07-07T19:59:25.3277254Z - Return value: `OnnxFunction(aten_index_put_bool)` 2023-07-07T19:59:25.3277786Z XFAIL [0.0000s] (https://github.com/pytorch/pytorch/issues/101150 on certain dtypes not supported by the Dynamo Spec) [ 76%] 2023-07-07T19:59:25.3278488Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_int32 PASSED [0.2957s] [ 76%] 2023-07-07T19:59:25.3279684Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_int64 [2023-07-07 19:57:57,480] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3280392Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3280841Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3281109Z 2023-07-07T19:59:25.3281412Z [2023-07-07 19:57:57,480] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3281960Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3282301Z 2023-07-07T19:59:25.3282575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3283353Z - self: 2023-07-07T19:59:25.3283990Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3284510Z - aten_name: 2023-07-07T19:59:25.3284883Z - function_overloads: 2023-07-07T19:59:25.3285255Z - onnx_args: 2023-07-07T19:59:25.3285607Z - onnx_kwargs: 2023-07-07T19:59:25.3286247Z - diagnostic_context: 2023-07-07T19:59:25.3286864Z - Return value: `OnnxFunction(aten_index_put)` 2023-07-07T19:59:25.3287491Z [2023-07-07 19:57:57,556] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3288004Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3288455Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3288724Z 2023-07-07T19:59:25.3289022Z [2023-07-07 19:57:57,556] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3289568Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3289905Z 2023-07-07T19:59:25.3290183Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3290799Z - self: 2023-07-07T19:59:25.3291340Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3291765Z - aten_name: 2023-07-07T19:59:25.3292023Z - function_overloads: 2023-07-07T19:59:25.3292278Z - onnx_args: 2023-07-07T19:59:25.3292518Z - onnx_kwargs: 2023-07-07T19:59:25.3292933Z - diagnostic_context: 2023-07-07T19:59:25.3293354Z - Return value: `OnnxFunction(aten_index_put_bool)` 2023-07-07T19:59:25.3293721Z XFAIL [0.0000s] (https://github.com/pytorch/pytorch/issues/101150 on certain dtypes not supported by the Dynamo Spec) [ 76%] 2023-07-07T19:59:25.3294201Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_int64 PASSED [0.3290s] [ 76%] 2023-07-07T19:59:25.3294680Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_int8 XFAIL [0.0895s] [ 76%] 2023-07-07T19:59:25.3295530Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_index_put_cpu_uint8 [2023-07-07 19:57:57,749] torch.onnx: [WARNING] FX Node: call_function:aten.index_put.default[name=index_put]. 2023-07-07T19:59:25.3296008Z ONNX Node: aten_index_put[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3296319Z ONNX Node: aten_index_put_bool[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3296485Z 2023-07-07T19:59:25.3296692Z [2023-07-07 19:57:57,749] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3297055Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3297373Z 2023-07-07T19:59:25.3297557Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3298034Z - self: 2023-07-07T19:59:25.3298442Z - node: fx.Node(index_put[call_function]'aten.index_put.default') 2023-07-07T19:59:25.3298722Z - aten_name: 2023-07-07T19:59:25.3298975Z - function_overloads: 2023-07-07T19:59:25.3299215Z - onnx_args: 2023-07-07T19:59:25.3299454Z - onnx_kwargs: 2023-07-07T19:59:25.3299884Z - diagnostic_context: 2023-07-07T19:59:25.3300284Z - Return value: `OnnxFunction(aten_index_put)` 2023-07-07T19:59:25.3300504Z XFAIL [0.0895s] [ 76%] 2023-07-07T19:59:25.3301082Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logit_cpu_bool [2023-07-07 19:57:57,932] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3301543Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3301697Z 2023-07-07T19:59:25.3301898Z [2023-07-07 19:57:57,932] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3302259Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3302485Z 2023-07-07T19:59:25.3302674Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3303192Z - self: 2023-07-07T19:59:25.3303790Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3304197Z - aten_name: 2023-07-07T19:59:25.3304541Z - function_overloads: 2023-07-07T19:59:25.3304901Z - onnx_args: 2023-07-07T19:59:25.3305280Z - onnx_kwargs: 2023-07-07T19:59:25.3306033Z - diagnostic_context: 2023-07-07T19:59:25.3306881Z - Return value: 2023-07-07T19:59:25.3307696Z [2023-07-07 19:57:58,099] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3308300Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3308609Z 2023-07-07T19:59:25.3308992Z [2023-07-07 19:57:58,099] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3309639Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3310038Z 2023-07-07T19:59:25.3310317Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3311114Z - self: 2023-07-07T19:59:25.3311825Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3312271Z - aten_name: 2023-07-07T19:59:25.3312657Z - function_overloads: 2023-07-07T19:59:25.3313011Z - onnx_args: 2023-07-07T19:59:25.3313343Z - onnx_kwargs: 2023-07-07T19:59:25.3313968Z - diagnostic_context: 2023-07-07T19:59:25.3314757Z - Return value: 2023-07-07T19:59:25.3315336Z PASSED [0.3471s] [ 77%] 2023-07-07T19:59:25.3316486Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logit_cpu_float32 [2023-07-07 19:57:58,242] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3317295Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3317559Z 2023-07-07T19:59:25.3317767Z [2023-07-07 19:57:58,242] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3318124Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3318350Z 2023-07-07T19:59:25.3318536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3319017Z - self: 2023-07-07T19:59:25.3319416Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3319696Z - aten_name: 2023-07-07T19:59:25.3319945Z - function_overloads: 2023-07-07T19:59:25.3320192Z - onnx_args: 2023-07-07T19:59:25.3320417Z - onnx_kwargs: 2023-07-07T19:59:25.3320845Z - diagnostic_context: 2023-07-07T19:59:25.3321322Z - Return value: 2023-07-07T19:59:25.3321752Z [2023-07-07 19:57:58,375] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3322083Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3322250Z 2023-07-07T19:59:25.3322448Z [2023-07-07 19:57:58,375] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3322809Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3323024Z 2023-07-07T19:59:25.3323214Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3323687Z - self: 2023-07-07T19:59:25.3324096Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3324356Z - aten_name: 2023-07-07T19:59:25.3324752Z - function_overloads: 2023-07-07T19:59:25.3325004Z - onnx_args: 2023-07-07T19:59:25.3325227Z - onnx_kwargs: 2023-07-07T19:59:25.3325651Z - diagnostic_context: 2023-07-07T19:59:25.3326121Z - Return value: 2023-07-07T19:59:25.3326384Z PASSED [0.2731s] [ 77%] 2023-07-07T19:59:25.3326966Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logit_cpu_int16 [2023-07-07 19:57:58,538] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3327423Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3327592Z 2023-07-07T19:59:25.3327792Z [2023-07-07 19:57:58,538] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3328155Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3328375Z 2023-07-07T19:59:25.3328559Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3329031Z - self: 2023-07-07T19:59:25.3329439Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3329697Z - aten_name: 2023-07-07T19:59:25.3329949Z - function_overloads: 2023-07-07T19:59:25.3330193Z - onnx_args: 2023-07-07T19:59:25.3330418Z - onnx_kwargs: 2023-07-07T19:59:25.3330943Z - diagnostic_context: 2023-07-07T19:59:25.3331417Z - Return value: 2023-07-07T19:59:25.3331858Z [2023-07-07 19:57:58,728] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3332175Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3332416Z 2023-07-07T19:59:25.3332614Z [2023-07-07 19:57:58,728] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3332974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3333201Z 2023-07-07T19:59:25.3333385Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3333848Z - self: 2023-07-07T19:59:25.3334259Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3334536Z - aten_name: 2023-07-07T19:59:25.3334777Z - function_overloads: 2023-07-07T19:59:25.3335023Z - onnx_args: 2023-07-07T19:59:25.3335258Z - onnx_kwargs: 2023-07-07T19:59:25.3335670Z - diagnostic_context: 2023-07-07T19:59:25.3336144Z - Return value: 2023-07-07T19:59:25.3336413Z PASSED [0.3545s] [ 77%] 2023-07-07T19:59:25.3336983Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logit_cpu_int32 [2023-07-07 19:57:58,932] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3337438Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3337605Z 2023-07-07T19:59:25.3337806Z [2023-07-07 19:57:58,932] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3338171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3338399Z 2023-07-07T19:59:25.3338584Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3339046Z - self: 2023-07-07T19:59:25.3339462Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3339737Z - aten_name: 2023-07-07T19:59:25.3339978Z - function_overloads: 2023-07-07T19:59:25.3340228Z - onnx_args: 2023-07-07T19:59:25.3340467Z - onnx_kwargs: 2023-07-07T19:59:25.3340879Z - diagnostic_context: 2023-07-07T19:59:25.3341351Z - Return value: 2023-07-07T19:59:25.3341799Z [2023-07-07 19:57:59,121] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3342129Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3342284Z 2023-07-07T19:59:25.3342482Z [2023-07-07 19:57:59,121] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3342844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3343073Z 2023-07-07T19:59:25.3343257Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3343723Z - self: 2023-07-07T19:59:25.3344132Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3344402Z - aten_name: 2023-07-07T19:59:25.3344653Z - function_overloads: 2023-07-07T19:59:25.3344885Z - onnx_args: 2023-07-07T19:59:25.3345120Z - onnx_kwargs: 2023-07-07T19:59:25.3345597Z - diagnostic_context: 2023-07-07T19:59:25.3346056Z - Return value: 2023-07-07T19:59:25.3346321Z PASSED [0.3901s] [ 77%] 2023-07-07T19:59:25.3346907Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logit_cpu_int64 [2023-07-07 19:57:59,301] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3347431Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3347599Z 2023-07-07T19:59:25.3347800Z [2023-07-07 19:57:59,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3348160Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3348387Z 2023-07-07T19:59:25.3348573Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3349041Z - self: 2023-07-07T19:59:25.3349220Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3349335Z - aten_name: 2023-07-07T19:59:25.3349467Z - function_overloads: 2023-07-07T19:59:25.3349583Z - onnx_args: 2023-07-07T19:59:25.3349705Z - onnx_kwargs: 2023-07-07T19:59:25.3350009Z - diagnostic_context: 2023-07-07T19:59:25.3350207Z - Return value: 2023-07-07T19:59:25.3350460Z [2023-07-07 19:57:59,455] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3350597Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3350603Z 2023-07-07T19:59:25.3350798Z [2023-07-07 19:57:59,455] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3351002Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3351008Z 2023-07-07T19:59:25.3351193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3351463Z - self: 2023-07-07T19:59:25.3351646Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3351760Z - aten_name: 2023-07-07T19:59:25.3351878Z - function_overloads: 2023-07-07T19:59:25.3351993Z - onnx_args: 2023-07-07T19:59:25.3352111Z - onnx_kwargs: 2023-07-07T19:59:25.3352413Z - diagnostic_context: 2023-07-07T19:59:25.3352623Z - Return value: 2023-07-07T19:59:25.3352702Z PASSED [0.3285s] [ 77%] 2023-07-07T19:59:25.3353175Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logit_cpu_int8 [2023-07-07 19:57:59,617] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3353311Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3353317Z 2023-07-07T19:59:25.3353501Z [2023-07-07 19:57:59,617] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3353705Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3353711Z 2023-07-07T19:59:25.3353890Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3354156Z - self: 2023-07-07T19:59:25.3354333Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3354530Z - aten_name: 2023-07-07T19:59:25.3354753Z - function_overloads: 2023-07-07T19:59:25.3354873Z - onnx_args: 2023-07-07T19:59:25.3354976Z - onnx_kwargs: 2023-07-07T19:59:25.3355276Z - diagnostic_context: 2023-07-07T19:59:25.3355487Z - Return value: 2023-07-07T19:59:25.3355794Z [2023-07-07 19:57:59,798] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3355929Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3355935Z 2023-07-07T19:59:25.3356131Z [2023-07-07 19:57:59,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3356330Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3356336Z 2023-07-07T19:59:25.3356519Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3356788Z - self: 2023-07-07T19:59:25.3356954Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3357066Z - aten_name: 2023-07-07T19:59:25.3357196Z - function_overloads: 2023-07-07T19:59:25.3357313Z - onnx_args: 2023-07-07T19:59:25.3357434Z - onnx_kwargs: 2023-07-07T19:59:25.3357737Z - diagnostic_context: 2023-07-07T19:59:25.3357948Z - Return value: 2023-07-07T19:59:25.3358015Z PASSED [0.3521s] [ 78%] 2023-07-07T19:59:25.3358482Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logit_cpu_uint8 [2023-07-07 19:58:00,047] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3358617Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3358627Z 2023-07-07T19:59:25.3358821Z [2023-07-07 19:58:00,047] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3359020Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3359026Z 2023-07-07T19:59:25.3359208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3359478Z - self: 2023-07-07T19:59:25.3359656Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3359770Z - aten_name: 2023-07-07T19:59:25.3359902Z - function_overloads: 2023-07-07T19:59:25.3360072Z - onnx_args: 2023-07-07T19:59:25.3360192Z - onnx_kwargs: 2023-07-07T19:59:25.3360493Z - diagnostic_context: 2023-07-07T19:59:25.3360708Z - Return value: 2023-07-07T19:59:25.3360959Z [2023-07-07 19:58:00,233] torch.onnx: [WARNING] FX Node: call_function:aten.logit.default[name=logit]. 2023-07-07T19:59:25.3361092Z ONNX Node: aten_logit[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3361098Z 2023-07-07T19:59:25.3361292Z [2023-07-07 19:58:00,234] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3361482Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3361500Z 2023-07-07T19:59:25.3361669Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3361933Z - self: 2023-07-07T19:59:25.3362109Z - node: fx.Node(logit[call_function]'aten.logit.default') 2023-07-07T19:59:25.3362223Z - aten_name: 2023-07-07T19:59:25.3362416Z - function_overloads: 2023-07-07T19:59:25.3362535Z - onnx_args: 2023-07-07T19:59:25.3362652Z - onnx_kwargs: 2023-07-07T19:59:25.3362942Z - diagnostic_context: 2023-07-07T19:59:25.3363151Z - Return value: 2023-07-07T19:59:25.3363281Z PASSED [0.4289s] [ 78%] 2023-07-07T19:59:25.3363758Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_bool [2023-07-07 19:58:00,302] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3363898Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3364042Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3364048Z 2023-07-07T19:59:25.3364246Z [2023-07-07 19:58:00,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3364612Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3364622Z 2023-07-07T19:59:25.3364808Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3365066Z - self: 2023-07-07T19:59:25.3365260Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3365376Z - aten_name: 2023-07-07T19:59:25.3365507Z - function_overloads: 2023-07-07T19:59:25.3365624Z - onnx_args: 2023-07-07T19:59:25.3365740Z - onnx_kwargs: 2023-07-07T19:59:25.3366044Z - diagnostic_context: 2023-07-07T19:59:25.3366185Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3366263Z PASSED [0.4685s] [ 78%] 2023-07-07T19:59:25.3366749Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_float16 [2023-07-07 19:58:00,782] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3366887Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3367031Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3367041Z 2023-07-07T19:59:25.3367239Z [2023-07-07 19:58:00,782] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3367440Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3367446Z 2023-07-07T19:59:25.3367630Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3367899Z - self: 2023-07-07T19:59:25.3368083Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3368188Z - aten_name: 2023-07-07T19:59:25.3368320Z - function_overloads: 2023-07-07T19:59:25.3368436Z - onnx_args: 2023-07-07T19:59:25.3368554Z - onnx_kwargs: 2023-07-07T19:59:25.3368860Z - diagnostic_context: 2023-07-07T19:59:25.3369017Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3369095Z PASSED [0.4271s] [ 78%] 2023-07-07T19:59:25.3369560Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_float32 [2023-07-07 19:58:01,194] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3369697Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3369842Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3369847Z 2023-07-07T19:59:25.3370131Z [2023-07-07 19:58:01,194] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3370340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3370345Z 2023-07-07T19:59:25.3370528Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3370797Z - self: 2023-07-07T19:59:25.3371107Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3371221Z - aten_name: 2023-07-07T19:59:25.3371342Z - function_overloads: 2023-07-07T19:59:25.3371458Z - onnx_args: 2023-07-07T19:59:25.3371575Z - onnx_kwargs: 2023-07-07T19:59:25.3371883Z - diagnostic_context: 2023-07-07T19:59:25.3372036Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3372118Z PASSED [0.6471s] [ 78%] 2023-07-07T19:59:25.3372590Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_int16 [2023-07-07 19:58:01,838] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3372716Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3372866Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3372872Z 2023-07-07T19:59:25.3373068Z [2023-07-07 19:58:01,838] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3373269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3373275Z 2023-07-07T19:59:25.3373455Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3373722Z - self: 2023-07-07T19:59:25.3373911Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3374024Z - aten_name: 2023-07-07T19:59:25.3374156Z - function_overloads: 2023-07-07T19:59:25.3374260Z - onnx_args: 2023-07-07T19:59:25.3374376Z - onnx_kwargs: 2023-07-07T19:59:25.3374679Z - diagnostic_context: 2023-07-07T19:59:25.3374836Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3374915Z PASSED [0.3373s] [ 78%] 2023-07-07T19:59:25.3375389Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_int32 [2023-07-07 19:58:02,177] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3375527Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3375670Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3375676Z 2023-07-07T19:59:25.3375867Z [2023-07-07 19:58:02,177] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3376071Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3376077Z 2023-07-07T19:59:25.3376259Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3376530Z - self: 2023-07-07T19:59:25.3376717Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3376831Z - aten_name: 2023-07-07T19:59:25.3376963Z - function_overloads: 2023-07-07T19:59:25.3377079Z - onnx_args: 2023-07-07T19:59:25.3377184Z - onnx_kwargs: 2023-07-07T19:59:25.3377488Z - diagnostic_context: 2023-07-07T19:59:25.3377696Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3377776Z PASSED [0.3276s] [ 79%] 2023-07-07T19:59:25.3378250Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_int64 [2023-07-07 19:58:02,506] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3378389Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3378597Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3378602Z 2023-07-07T19:59:25.3378799Z [2023-07-07 19:58:02,506] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3379000Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3379007Z 2023-07-07T19:59:25.3379177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3379447Z - self: 2023-07-07T19:59:25.3379634Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3379748Z - aten_name: 2023-07-07T19:59:25.3379905Z - function_overloads: 2023-07-07T19:59:25.3380022Z - onnx_args: 2023-07-07T19:59:25.3380139Z - onnx_kwargs: 2023-07-07T19:59:25.3380433Z - diagnostic_context: 2023-07-07T19:59:25.3380589Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3380668Z PASSED [0.3661s] [ 79%] 2023-07-07T19:59:25.3381146Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_int8 [2023-07-07 19:58:02,890] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3381284Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3381438Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3381444Z 2023-07-07T19:59:25.3381643Z [2023-07-07 19:58:02,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3381844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3381850Z 2023-07-07T19:59:25.3382037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3382306Z - self: 2023-07-07T19:59:25.3382481Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3382595Z - aten_name: 2023-07-07T19:59:25.3382727Z - function_overloads: 2023-07-07T19:59:25.3382847Z - onnx_args: 2023-07-07T19:59:25.3382964Z - onnx_kwargs: 2023-07-07T19:59:25.3383275Z - diagnostic_context: 2023-07-07T19:59:25.3383431Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3383496Z PASSED [0.5283s] [ 79%] 2023-07-07T19:59:25.3383970Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_full_cpu_uint8 [2023-07-07 19:58:03,428] torch.onnx: [WARNING] FX Node: call_function:aten.new_full.default[name=new_full]. 2023-07-07T19:59:25.3384113Z ONNX Node: aten_new_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3384257Z ONNX Node: aten_new_full_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3384263Z 2023-07-07T19:59:25.3384460Z [2023-07-07 19:58:03,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3384661Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3384667Z 2023-07-07T19:59:25.3384848Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3385179Z - self: 2023-07-07T19:59:25.3385368Z - node: fx.Node(new_full[call_function]'aten.new_full.default') 2023-07-07T19:59:25.3385470Z - aten_name: 2023-07-07T19:59:25.3385602Z - function_overloads: 2023-07-07T19:59:25.3385717Z - onnx_args: 2023-07-07T19:59:25.3385889Z - onnx_kwargs: 2023-07-07T19:59:25.3386193Z - diagnostic_context: 2023-07-07T19:59:25.3386348Z - Return value: `OnnxFunction(aten_new_full)` 2023-07-07T19:59:25.3386425Z PASSED [0.5111s] [ 79%] 2023-07-07T19:59:25.3386886Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_bool [2023-07-07 19:58:03,931] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3387036Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3387172Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3387177Z 2023-07-07T19:59:25.3387375Z [2023-07-07 19:58:03,931] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3387577Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3387588Z 2023-07-07T19:59:25.3387771Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3388040Z - self: 2023-07-07T19:59:25.3388227Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3388339Z - aten_name: 2023-07-07T19:59:25.3388460Z - function_overloads: 2023-07-07T19:59:25.3388574Z - onnx_args: 2023-07-07T19:59:25.3388690Z - onnx_kwargs: 2023-07-07T19:59:25.3389001Z - diagnostic_context: 2023-07-07T19:59:25.3389154Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3389410Z [2023-07-07 19:58:03,994] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3389556Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3389696Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3389701Z 2023-07-07T19:59:25.3389887Z [2023-07-07 19:58:03,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3390090Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3390096Z 2023-07-07T19:59:25.3390281Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3390551Z - self: 2023-07-07T19:59:25.3390740Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3390853Z - aten_name: 2023-07-07T19:59:25.3390988Z - function_overloads: 2023-07-07T19:59:25.3391103Z - onnx_args: 2023-07-07T19:59:25.3391207Z - onnx_kwargs: 2023-07-07T19:59:25.3391516Z - diagnostic_context: 2023-07-07T19:59:25.3391670Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3391925Z [2023-07-07 19:58:04,059] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3392068Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3392205Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3392211Z 2023-07-07T19:59:25.3392411Z [2023-07-07 19:58:04,059] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3392680Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3392686Z 2023-07-07T19:59:25.3392872Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3393128Z - self: 2023-07-07T19:59:25.3393367Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3393479Z - aten_name: 2023-07-07T19:59:25.3393611Z - function_overloads: 2023-07-07T19:59:25.3393727Z - onnx_args: 2023-07-07T19:59:25.3393844Z - onnx_kwargs: 2023-07-07T19:59:25.3394149Z - diagnostic_context: 2023-07-07T19:59:25.3394292Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3394643Z [2023-07-07 19:58:04,116] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3394793Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3394931Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3394936Z 2023-07-07T19:59:25.3395138Z [2023-07-07 19:58:04,116] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3395348Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3395354Z 2023-07-07T19:59:25.3395540Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3395810Z - self: 2023-07-07T19:59:25.3396000Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3396101Z - aten_name: 2023-07-07T19:59:25.3396238Z - function_overloads: 2023-07-07T19:59:25.3396356Z - onnx_args: 2023-07-07T19:59:25.3396475Z - onnx_kwargs: 2023-07-07T19:59:25.3396779Z - diagnostic_context: 2023-07-07T19:59:25.3396944Z - Return value: `OnnxFunction(aten_new_ones_dtype)` 2023-07-07T19:59:25.3397199Z [2023-07-07 19:58:04,160] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3397337Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3397474Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3397479Z 2023-07-07T19:59:25.3397676Z [2023-07-07 19:58:04,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3397880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3397886Z 2023-07-07T19:59:25.3398073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3398339Z - self: 2023-07-07T19:59:25.3398528Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3398643Z - aten_name: 2023-07-07T19:59:25.3398775Z - function_overloads: 2023-07-07T19:59:25.3398882Z - onnx_args: 2023-07-07T19:59:25.3398999Z - onnx_kwargs: 2023-07-07T19:59:25.3399300Z - diagnostic_context: 2023-07-07T19:59:25.3399464Z - Return value: `OnnxFunction(aten_new_ones_dtype)` 2023-07-07T19:59:25.3399718Z [2023-07-07 19:58:04,207] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3399861Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3399997Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3400083Z 2023-07-07T19:59:25.3400284Z [2023-07-07 19:58:04,207] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3400476Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3400481Z 2023-07-07T19:59:25.3400663Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3400984Z - self: 2023-07-07T19:59:25.3401171Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3401285Z - aten_name: 2023-07-07T19:59:25.3401418Z - function_overloads: 2023-07-07T19:59:25.3401535Z - onnx_args: 2023-07-07T19:59:25.3401653Z - onnx_kwargs: 2023-07-07T19:59:25.3401942Z - diagnostic_context: 2023-07-07T19:59:25.3402100Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3402352Z [2023-07-07 19:58:04,266] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3402497Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3402634Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3402644Z 2023-07-07T19:59:25.3402841Z [2023-07-07 19:58:04,266] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3403043Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3403049Z 2023-07-07T19:59:25.3403232Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3403487Z - self: 2023-07-07T19:59:25.3403675Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3403792Z - aten_name: 2023-07-07T19:59:25.3403924Z - function_overloads: 2023-07-07T19:59:25.3404040Z - onnx_args: 2023-07-07T19:59:25.3404156Z - onnx_kwargs: 2023-07-07T19:59:25.3404594Z - diagnostic_context: 2023-07-07T19:59:25.3404770Z - Return value: `OnnxFunction(aten_new_ones_dtype)` 2023-07-07T19:59:25.3404837Z PASSED [0.3934s] [ 79%] 2023-07-07T19:59:25.3405322Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_float16 [2023-07-07 19:58:04,326] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3405468Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3405604Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3405609Z 2023-07-07T19:59:25.3405811Z [2023-07-07 19:58:04,326] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3406012Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3406018Z 2023-07-07T19:59:25.3406203Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3406470Z - self: 2023-07-07T19:59:25.3406662Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3406764Z - aten_name: 2023-07-07T19:59:25.3406896Z - function_overloads: 2023-07-07T19:59:25.3407011Z - onnx_args: 2023-07-07T19:59:25.3407129Z - onnx_kwargs: 2023-07-07T19:59:25.3407433Z - diagnostic_context: 2023-07-07T19:59:25.3407588Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3407779Z PASSED [0.3665s] [ 79%] 2023-07-07T19:59:25.3408250Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_float32 [2023-07-07 19:58:04,681] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3408396Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3408607Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3408613Z 2023-07-07T19:59:25.3408810Z [2023-07-07 19:58:04,681] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3409011Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3409017Z 2023-07-07T19:59:25.3409198Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3409469Z - self: 2023-07-07T19:59:25.3409660Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3409777Z - aten_name: 2023-07-07T19:59:25.3409895Z - function_overloads: 2023-07-07T19:59:25.3410011Z - onnx_args: 2023-07-07T19:59:25.3410129Z - onnx_kwargs: 2023-07-07T19:59:25.3410430Z - diagnostic_context: 2023-07-07T19:59:25.3410589Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3410670Z PASSED [0.3257s] [ 80%] 2023-07-07T19:59:25.3411142Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_int16 [2023-07-07 19:58:05,006] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3411288Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3411414Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3411423Z 2023-07-07T19:59:25.3411622Z [2023-07-07 19:58:05,006] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3411823Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3411829Z 2023-07-07T19:59:25.3412009Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3412280Z - self: 2023-07-07T19:59:25.3412467Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3412580Z - aten_name: 2023-07-07T19:59:25.3412711Z - function_overloads: 2023-07-07T19:59:25.3412812Z - onnx_args: 2023-07-07T19:59:25.3412930Z - onnx_kwargs: 2023-07-07T19:59:25.3413233Z - diagnostic_context: 2023-07-07T19:59:25.3413391Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3413470Z PASSED [0.4151s] [ 80%] 2023-07-07T19:59:25.3413941Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_int32 [2023-07-07 19:58:05,424] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3414086Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3414227Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3414233Z 2023-07-07T19:59:25.3414433Z [2023-07-07 19:58:05,424] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3414624Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3414630Z 2023-07-07T19:59:25.3414814Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3415148Z - self: 2023-07-07T19:59:25.3415338Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3415452Z - aten_name: 2023-07-07T19:59:25.3415584Z - function_overloads: 2023-07-07T19:59:25.3415698Z - onnx_args: 2023-07-07T19:59:25.3415803Z - onnx_kwargs: 2023-07-07T19:59:25.3416164Z - diagnostic_context: 2023-07-07T19:59:25.3416319Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3416397Z PASSED [0.3794s] [ 80%] 2023-07-07T19:59:25.3416871Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_int64 [2023-07-07 19:58:05,821] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3417017Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3417163Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3417170Z 2023-07-07T19:59:25.3417372Z [2023-07-07 19:58:05,821] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3417576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3417582Z 2023-07-07T19:59:25.3417757Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3418025Z - self: 2023-07-07T19:59:25.3418213Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3418324Z - aten_name: 2023-07-07T19:59:25.3418455Z - function_overloads: 2023-07-07T19:59:25.3418570Z - onnx_args: 2023-07-07T19:59:25.3418686Z - onnx_kwargs: 2023-07-07T19:59:25.3418994Z - diagnostic_context: 2023-07-07T19:59:25.3419134Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3419211Z PASSED [0.4428s] [ 80%] 2023-07-07T19:59:25.3419683Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_int8 [2023-07-07 19:58:06,264] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3419832Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3419969Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3419975Z 2023-07-07T19:59:25.3420172Z [2023-07-07 19:58:06,264] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3420373Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3420379Z 2023-07-07T19:59:25.3420567Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3420837Z - self: 2023-07-07T19:59:25.3421012Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3421126Z - aten_name: 2023-07-07T19:59:25.3421258Z - function_overloads: 2023-07-07T19:59:25.3421373Z - onnx_args: 2023-07-07T19:59:25.3421492Z - onnx_kwargs: 2023-07-07T19:59:25.3421797Z - diagnostic_context: 2023-07-07T19:59:25.3421950Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3422016Z PASSED [0.4522s] [ 80%] 2023-07-07T19:59:25.3422487Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_ones_cpu_uint8 [2023-07-07 19:58:06,725] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3422696Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3422835Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3422840Z 2023-07-07T19:59:25.3423040Z [2023-07-07 19:58:06,725] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3423241Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3423299Z 2023-07-07T19:59:25.3423482Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3423748Z - self: 2023-07-07T19:59:25.3423936Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3424037Z - aten_name: 2023-07-07T19:59:25.3424168Z - function_overloads: 2023-07-07T19:59:25.3424284Z - onnx_args: 2023-07-07T19:59:25.3424402Z - onnx_kwargs: 2023-07-07T19:59:25.3424711Z - diagnostic_context: 2023-07-07T19:59:25.3424865Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3425124Z [2023-07-07 19:58:06,795] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3425268Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3425398Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3425404Z 2023-07-07T19:59:25.3425600Z [2023-07-07 19:58:06,795] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3425802Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3425807Z 2023-07-07T19:59:25.3425989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3426261Z - self: 2023-07-07T19:59:25.3426448Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3426562Z - aten_name: 2023-07-07T19:59:25.3426693Z - function_overloads: 2023-07-07T19:59:25.3426794Z - onnx_args: 2023-07-07T19:59:25.3426911Z - onnx_kwargs: 2023-07-07T19:59:25.3427220Z - diagnostic_context: 2023-07-07T19:59:25.3427375Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3427634Z [2023-07-07 19:58:06,875] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3427780Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3427917Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3427923Z 2023-07-07T19:59:25.3428119Z [2023-07-07 19:58:06,875] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3428313Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3428331Z 2023-07-07T19:59:25.3428503Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3428770Z - self: 2023-07-07T19:59:25.3428961Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3429074Z - aten_name: 2023-07-07T19:59:25.3429206Z - function_overloads: 2023-07-07T19:59:25.3429321Z - onnx_args: 2023-07-07T19:59:25.3429438Z - onnx_kwargs: 2023-07-07T19:59:25.3429729Z - diagnostic_context: 2023-07-07T19:59:25.3429882Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3430227Z [2023-07-07 19:58:06,938] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3430374Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3430512Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3430518Z 2023-07-07T19:59:25.3430716Z [2023-07-07 19:58:06,938] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3430980Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3430986Z 2023-07-07T19:59:25.3431166Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3431432Z - self: 2023-07-07T19:59:25.3431607Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3431722Z - aten_name: 2023-07-07T19:59:25.3431854Z - function_overloads: 2023-07-07T19:59:25.3431975Z - onnx_args: 2023-07-07T19:59:25.3432091Z - onnx_kwargs: 2023-07-07T19:59:25.3432392Z - diagnostic_context: 2023-07-07T19:59:25.3432556Z - Return value: `OnnxFunction(aten_new_ones_dtype)` 2023-07-07T19:59:25.3432799Z [2023-07-07 19:58:06,998] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3432949Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3433086Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3433091Z 2023-07-07T19:59:25.3433287Z [2023-07-07 19:58:06,998] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3433485Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3433491Z 2023-07-07T19:59:25.3433677Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3433944Z - self: 2023-07-07T19:59:25.3434132Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3434244Z - aten_name: 2023-07-07T19:59:25.3434364Z - function_overloads: 2023-07-07T19:59:25.3434560Z - onnx_args: 2023-07-07T19:59:25.3434681Z - onnx_kwargs: 2023-07-07T19:59:25.3434982Z - diagnostic_context: 2023-07-07T19:59:25.3435145Z - Return value: `OnnxFunction(aten_new_ones_dtype)` 2023-07-07T19:59:25.3435399Z [2023-07-07 19:58:07,067] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3435543Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3435667Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3435689Z 2023-07-07T19:59:25.3435873Z [2023-07-07 19:58:07,067] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3436070Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3436076Z 2023-07-07T19:59:25.3436255Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3436526Z - self: 2023-07-07T19:59:25.3436717Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3436831Z - aten_name: 2023-07-07T19:59:25.3436962Z - function_overloads: 2023-07-07T19:59:25.3437076Z - onnx_args: 2023-07-07T19:59:25.3437180Z - onnx_kwargs: 2023-07-07T19:59:25.3437483Z - diagnostic_context: 2023-07-07T19:59:25.3437706Z - Return value: `OnnxFunction(aten_new_ones)` 2023-07-07T19:59:25.3437963Z [2023-07-07 19:58:07,140] torch.onnx: [WARNING] FX Node: call_function:aten.new_ones.default[name=new_ones]. 2023-07-07T19:59:25.3438109Z ONNX Node: aten_new_ones_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3438246Z ONNX Node: aten_new_ones[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3438309Z 2023-07-07T19:59:25.3438504Z [2023-07-07 19:58:07,140] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3438705Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3438711Z 2023-07-07T19:59:25.3438881Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3439145Z - self: 2023-07-07T19:59:25.3439335Z - node: fx.Node(new_ones[call_function]'aten.new_ones.default') 2023-07-07T19:59:25.3439447Z - aten_name: 2023-07-07T19:59:25.3439579Z - function_overloads: 2023-07-07T19:59:25.3439695Z - onnx_args: 2023-07-07T19:59:25.3439812Z - onnx_kwargs: 2023-07-07T19:59:25.3440115Z - diagnostic_context: 2023-07-07T19:59:25.3440272Z - Return value: `OnnxFunction(aten_new_ones_dtype)` 2023-07-07T19:59:25.3440351Z PASSED [0.4779s] [ 81%] 2023-07-07T19:59:25.3440837Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_bool [2023-07-07 19:58:07,200] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3440986Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3441127Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3441132Z 2023-07-07T19:59:25.3441333Z [2023-07-07 19:58:07,200] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3441533Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3441539Z 2023-07-07T19:59:25.3441722Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3441996Z - self: 2023-07-07T19:59:25.3442175Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3442288Z - aten_name: 2023-07-07T19:59:25.3442419Z - function_overloads: 2023-07-07T19:59:25.3442535Z - onnx_args: 2023-07-07T19:59:25.3442651Z - onnx_kwargs: 2023-07-07T19:59:25.3442956Z - diagnostic_context: 2023-07-07T19:59:25.3443113Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3443366Z [2023-07-07 19:58:07,262] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3443514Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3443652Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3443657Z 2023-07-07T19:59:25.3443851Z [2023-07-07 19:58:07,262] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3444057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3444062Z 2023-07-07T19:59:25.3444244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3444636Z - self: 2023-07-07T19:59:25.3444833Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3444947Z - aten_name: 2023-07-07T19:59:25.3445169Z - function_overloads: 2023-07-07T19:59:25.3445287Z - onnx_args: 2023-07-07T19:59:25.3445404Z - onnx_kwargs: 2023-07-07T19:59:25.3445705Z - diagnostic_context: 2023-07-07T19:59:25.3445859Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3446186Z [2023-07-07 19:58:07,329] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3446334Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3446459Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3446478Z 2023-07-07T19:59:25.3446661Z [2023-07-07 19:58:07,329] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3446861Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3446866Z 2023-07-07T19:59:25.3447051Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3447318Z - self: 2023-07-07T19:59:25.3447512Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3447626Z - aten_name: 2023-07-07T19:59:25.3447764Z - function_overloads: 2023-07-07T19:59:25.3447880Z - onnx_args: 2023-07-07T19:59:25.3447984Z - onnx_kwargs: 2023-07-07T19:59:25.3448285Z - diagnostic_context: 2023-07-07T19:59:25.3448440Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3448697Z [2023-07-07 19:58:07,375] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3448845Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3448988Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3448994Z 2023-07-07T19:59:25.3449189Z [2023-07-07 19:58:07,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3449388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3449394Z 2023-07-07T19:59:25.3449567Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3449833Z - self: 2023-07-07T19:59:25.3450023Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3450137Z - aten_name: 2023-07-07T19:59:25.3450269Z - function_overloads: 2023-07-07T19:59:25.3450384Z - onnx_args: 2023-07-07T19:59:25.3450501Z - onnx_kwargs: 2023-07-07T19:59:25.3450807Z - diagnostic_context: 2023-07-07T19:59:25.3450962Z - Return value: `OnnxFunction(aten_new_zeros_dtype)` 2023-07-07T19:59:25.3451225Z [2023-07-07 19:58:07,419] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3451372Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3451515Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3451521Z 2023-07-07T19:59:25.3451740Z [2023-07-07 19:58:07,419] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3452048Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3452058Z 2023-07-07T19:59:25.3452352Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3452777Z - self: 2023-07-07T19:59:25.3453157Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3453319Z - aten_name: 2023-07-07T19:59:25.3453520Z - function_overloads: 2023-07-07T19:59:25.3453694Z - onnx_args: 2023-07-07T19:59:25.3453872Z - onnx_kwargs: 2023-07-07T19:59:25.3454335Z - diagnostic_context: 2023-07-07T19:59:25.3454658Z - Return value: `OnnxFunction(aten_new_zeros_dtype)` 2023-07-07T19:59:25.3455053Z [2023-07-07 19:58:07,465] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3455258Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3455467Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3455475Z 2023-07-07T19:59:25.3455766Z [2023-07-07 19:58:07,465] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3456078Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3456087Z 2023-07-07T19:59:25.3456359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3456763Z - self: 2023-07-07T19:59:25.3457064Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3457237Z - aten_name: 2023-07-07T19:59:25.3457437Z - function_overloads: 2023-07-07T19:59:25.3457598Z - onnx_args: 2023-07-07T19:59:25.3457770Z - onnx_kwargs: 2023-07-07T19:59:25.3458233Z - diagnostic_context: 2023-07-07T19:59:25.3458467Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3458868Z [2023-07-07 19:58:07,513] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3459088Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3459296Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3459304Z 2023-07-07T19:59:25.3459600Z [2023-07-07 19:58:07,513] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3459895Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3459904Z 2023-07-07T19:59:25.3460176Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3460580Z - self: 2023-07-07T19:59:25.3460872Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3461046Z - aten_name: 2023-07-07T19:59:25.3461249Z - function_overloads: 2023-07-07T19:59:25.3461430Z - onnx_args: 2023-07-07T19:59:25.3461608Z - onnx_kwargs: 2023-07-07T19:59:25.3462053Z - diagnostic_context: 2023-07-07T19:59:25.3462303Z - Return value: `OnnxFunction(aten_new_zeros_dtype)` 2023-07-07T19:59:25.3462420Z PASSED [0.3692s] [ 81%] 2023-07-07T19:59:25.3463175Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_float16 [2023-07-07 19:58:07,563] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3463399Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3463606Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3463615Z 2023-07-07T19:59:25.3463913Z [2023-07-07 19:58:07,563] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3464313Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3464322Z 2023-07-07T19:59:25.3464599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3464996Z - self: 2023-07-07T19:59:25.3465285Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3465513Z - aten_name: 2023-07-07T19:59:25.3465712Z - function_overloads: 2023-07-07T19:59:25.3465884Z - onnx_args: 2023-07-07T19:59:25.3466061Z - onnx_kwargs: 2023-07-07T19:59:25.3466519Z - diagnostic_context: 2023-07-07T19:59:25.3466739Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3466854Z PASSED [0.4470s] [ 81%] 2023-07-07T19:59:25.3467601Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_float32 [2023-07-07 19:58:08,020] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3467821Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3468030Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3468038Z 2023-07-07T19:59:25.3468343Z [2023-07-07 19:58:08,020] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3468647Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3468655Z 2023-07-07T19:59:25.3468934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3469343Z - self: 2023-07-07T19:59:25.3469616Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3469790Z - aten_name: 2023-07-07T19:59:25.3469996Z - function_overloads: 2023-07-07T19:59:25.3470170Z - onnx_args: 2023-07-07T19:59:25.3470345Z - onnx_kwargs: 2023-07-07T19:59:25.3470807Z - diagnostic_context: 2023-07-07T19:59:25.3471042Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3471147Z PASSED [0.6441s] [ 81%] 2023-07-07T19:59:25.3471874Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_int16 [2023-07-07 19:58:08,649] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3472093Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3472299Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3472308Z 2023-07-07T19:59:25.3472604Z [2023-07-07 19:58:08,649] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3472914Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3472922Z 2023-07-07T19:59:25.3473197Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3473602Z - self: 2023-07-07T19:59:25.3473898Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3474055Z - aten_name: 2023-07-07T19:59:25.3474257Z - function_overloads: 2023-07-07T19:59:25.3474431Z - onnx_args: 2023-07-07T19:59:25.3474684Z - onnx_kwargs: 2023-07-07T19:59:25.3475146Z - diagnostic_context: 2023-07-07T19:59:25.3475380Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3475496Z PASSED [0.3191s] [ 81%] 2023-07-07T19:59:25.3476317Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_int32 [2023-07-07 19:58:08,971] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3476527Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3476733Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3476813Z 2023-07-07T19:59:25.3477112Z [2023-07-07 19:58:08,971] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3477418Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3477427Z 2023-07-07T19:59:25.3477702Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3478112Z - self: 2023-07-07T19:59:25.3478404Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3478577Z - aten_name: 2023-07-07T19:59:25.3478777Z - function_overloads: 2023-07-07T19:59:25.3478939Z - onnx_args: 2023-07-07T19:59:25.3479116Z - onnx_kwargs: 2023-07-07T19:59:25.3479577Z - diagnostic_context: 2023-07-07T19:59:25.3479819Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3479940Z PASSED [0.3822s] [ 81%] 2023-07-07T19:59:25.3480677Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_int64 [2023-07-07 19:58:09,356] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3480898Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3481105Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3481114Z 2023-07-07T19:59:25.3481407Z [2023-07-07 19:58:09,356] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3481708Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3481716Z 2023-07-07T19:59:25.3481988Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3482402Z - self: 2023-07-07T19:59:25.3482693Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3482868Z - aten_name: 2023-07-07T19:59:25.3483068Z - function_overloads: 2023-07-07T19:59:25.3483243Z - onnx_args: 2023-07-07T19:59:25.3483405Z - onnx_kwargs: 2023-07-07T19:59:25.3483865Z - diagnostic_context: 2023-07-07T19:59:25.3484105Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3484220Z PASSED [0.3172s] [ 82%] 2023-07-07T19:59:25.3485072Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_int8 [2023-07-07 19:58:09,674] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3485292Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3485504Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3485513Z 2023-07-07T19:59:25.3485815Z [2023-07-07 19:58:09,675] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3486110Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3486133Z 2023-07-07T19:59:25.3486395Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3486913Z - self: 2023-07-07T19:59:25.3487207Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3487377Z - aten_name: 2023-07-07T19:59:25.3487577Z - function_overloads: 2023-07-07T19:59:25.3487750Z - onnx_args: 2023-07-07T19:59:25.3487925Z - onnx_kwargs: 2023-07-07T19:59:25.3488446Z - diagnostic_context: 2023-07-07T19:59:25.3488682Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3488795Z PASSED [0.3400s] [ 82%] 2023-07-07T19:59:25.3489532Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_new_zeros_cpu_uint8 [2023-07-07 19:58:10,028] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3489751Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3489963Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3489972Z 2023-07-07T19:59:25.3490272Z [2023-07-07 19:58:10,028] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3490576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3490585Z 2023-07-07T19:59:25.3490858Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3491254Z - self: 2023-07-07T19:59:25.3491545Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3491713Z - aten_name: 2023-07-07T19:59:25.3491912Z - function_overloads: 2023-07-07T19:59:25.3492089Z - onnx_args: 2023-07-07T19:59:25.3492265Z - onnx_kwargs: 2023-07-07T19:59:25.3492735Z - diagnostic_context: 2023-07-07T19:59:25.3492970Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3493357Z [2023-07-07 19:58:10,091] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3493576Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3493782Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3493796Z 2023-07-07T19:59:25.3494092Z [2023-07-07 19:58:10,091] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3494393Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3494402Z 2023-07-07T19:59:25.3494677Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3495082Z - self: 2023-07-07T19:59:25.3495378Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3495537Z - aten_name: 2023-07-07T19:59:25.3495735Z - function_overloads: 2023-07-07T19:59:25.3495906Z - onnx_args: 2023-07-07T19:59:25.3496082Z - onnx_kwargs: 2023-07-07T19:59:25.3496541Z - diagnostic_context: 2023-07-07T19:59:25.3496780Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3497179Z [2023-07-07 19:58:10,156] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3497387Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3497566Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3497574Z 2023-07-07T19:59:25.3497863Z [2023-07-07 19:58:10,156] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3498277Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3498289Z 2023-07-07T19:59:25.3498564Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3499166Z - self: 2023-07-07T19:59:25.3499577Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3499886Z - aten_name: 2023-07-07T19:59:25.3500118Z - function_overloads: 2023-07-07T19:59:25.3500310Z - onnx_args: 2023-07-07T19:59:25.3500512Z - onnx_kwargs: 2023-07-07T19:59:25.3501039Z - diagnostic_context: 2023-07-07T19:59:25.3501306Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3501763Z [2023-07-07 19:58:10,220] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3502021Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3502261Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3502271Z 2023-07-07T19:59:25.3502616Z [2023-07-07 19:58:10,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3502951Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3502982Z 2023-07-07T19:59:25.3503283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3503752Z - self: 2023-07-07T19:59:25.3504088Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3504288Z - aten_name: 2023-07-07T19:59:25.3504520Z - function_overloads: 2023-07-07T19:59:25.3504721Z - onnx_args: 2023-07-07T19:59:25.3504933Z - onnx_kwargs: 2023-07-07T19:59:25.3505448Z - diagnostic_context: 2023-07-07T19:59:25.3505743Z - Return value: `OnnxFunction(aten_new_zeros_dtype)` 2023-07-07T19:59:25.3506312Z [2023-07-07 19:58:10,266] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3506546Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3506754Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3506762Z 2023-07-07T19:59:25.3507059Z [2023-07-07 19:58:10,266] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3507365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3507373Z 2023-07-07T19:59:25.3507647Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3508058Z - self: 2023-07-07T19:59:25.3508332Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3508503Z - aten_name: 2023-07-07T19:59:25.3508703Z - function_overloads: 2023-07-07T19:59:25.3508877Z - onnx_args: 2023-07-07T19:59:25.3509060Z - onnx_kwargs: 2023-07-07T19:59:25.3509518Z - diagnostic_context: 2023-07-07T19:59:25.3509768Z - Return value: `OnnxFunction(aten_new_zeros_dtype)` 2023-07-07T19:59:25.3510154Z [2023-07-07 19:58:10,313] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3510373Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3510581Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3510590Z 2023-07-07T19:59:25.3510989Z [2023-07-07 19:58:10,313] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3511294Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3511307Z 2023-07-07T19:59:25.3511577Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3512040Z - self: 2023-07-07T19:59:25.3512317Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3512481Z - aten_name: 2023-07-07T19:59:25.3512646Z - function_overloads: 2023-07-07T19:59:25.3512853Z - onnx_args: 2023-07-07T19:59:25.3513081Z - onnx_kwargs: 2023-07-07T19:59:25.3513607Z - diagnostic_context: 2023-07-07T19:59:25.3513870Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T19:59:25.3514253Z [2023-07-07 19:58:10,363] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T19:59:25.3514404Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3514625Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.3514633Z 2023-07-07T19:59:25.3514825Z [2023-07-07 19:58:10,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.3515028Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.3515034Z 2023-07-07T19:59:25.3515216Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.3515483Z - self: 2023-07-07T19:59:25.3515672Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T19:59:25.3515793Z - aten_name: 2023-07-07T19:59:25.3515924Z - function_overloads: 2023-07-07T19:59:25.3516040Z - onnx_args: 2023-07-07T19:59:25.3516144Z - onnx_kwargs: 2023-07-07T19:59:25.3516448Z - diagnostic_context: 2023-07-07T19:59:25.3516615Z - Return value: `OnnxFunction(aten_new_zeros_dtype)` 2023-07-07T19:59:25.3516698Z PASSED [0.3902s] [ 82%] 2023-07-07T19:59:25.3517302Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool1d_cpu_float32 [2023-07-07 19:58:10,629] torch.onnx: [ERROR] Cannot find symbolic function for aten::index.Tensor, which should be registered under aten.index.Tensor. 2023-07-07T19:59:25.3517452Z [2023-07-07 19:58:10,630] torch.onnx: [ERROR] None 2023-07-07T19:59:25.3517716Z [2023-07-07 19:58:10,630] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.index.Tensor']}. 2023-07-07T19:59:25.3517869Z [2023-07-07 19:58:10,630] torch.onnx: [ERROR] None 2023-07-07T19:59:25.3517930Z XFAIL [0.4751s] [ 82%] 2023-07-07T19:59:25.3518519Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool2d_cpu_float32 [2023-07-07 19:58:11,119] torch.onnx: [ERROR] Cannot find symbolic function for aten::index.Tensor, which should be registered under aten.index.Tensor. 2023-07-07T19:59:25.3518670Z [2023-07-07 19:58:11,119] torch.onnx: [ERROR] None 2023-07-07T19:59:25.3518924Z [2023-07-07 19:58:11,119] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.index.Tensor']}. 2023-07-07T19:59:25.3519070Z [2023-07-07 19:58:11,119] torch.onnx: [ERROR] None 2023-07-07T19:59:25.3519142Z XFAIL [0.4745s] [ 82%] 2023-07-07T19:59:25.3519609Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool2d_cpu_int16 [2023-07-07 19:58:11,391] torch.onnx: [ERROR] Running Decompose pass. Raised from: 2023-07-07T19:59:25.3528581Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.3528602Z 2023-07-07T19:59:25.3528926Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.3529008Z Original traceback: 2023-07-07T19:59:25.3529145Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.3529344Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.3529351Z 2023-07-07T19:59:25.3529616Z [2023-07-07 19:58:11,392] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T19:59:25.3529825Z - self: 2023-07-07T19:59:25.3529934Z - args: 2023-07-07T19:59:25.3530010Z ### Exception log 2023-07-07T19:59:25.3530071Z ``` 2023-07-07T19:59:25.3530167Z Traceback (most recent call last): 2023-07-07T19:59:25.3530173Z 2023-07-07T19:59:25.3530500Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T19:59:25.3530596Z return_values = fn(*args, **kwargs) 2023-07-07T19:59:25.3530602Z 2023-07-07T19:59:25.3530875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T19:59:25.3530961Z module = self._run(*args, **kwargs) 2023-07-07T19:59:25.3530966Z 2023-07-07T19:59:25.3531173Z File "<@beartype(torch.onnx._internal.fx.passes.decomp.Decompose._run) at 0x7fa2dc38db80>", line 10, in _run 2023-07-07T19:59:25.3531178Z 2023-07-07T19:59:25.3531464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/decomp.py", line 52, in _run 2023-07-07T19:59:25.3531576Z decomposed_module = proxy_tensor.make_fx( 2023-07-07T19:59:25.3531582Z 2023-07-07T19:59:25.3531873Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T19:59:25.3532071Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T19:59:25.3532077Z 2023-07-07T19:59:25.3532321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T19:59:25.3532454Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T19:59:25.3532464Z 2023-07-07T19:59:25.3532725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.3532809Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3532815Z 2023-07-07T19:59:25.3533069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.3533152Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3533157Z 2023-07-07T19:59:25.3533460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T19:59:25.3533570Z graph = tracer.trace(root, concrete_args) 2023-07-07T19:59:25.3533576Z 2023-07-07T19:59:25.3533834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.3533918Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3533923Z 2023-07-07T19:59:25.3534191Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.3534278Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3534283Z 2023-07-07T19:59:25.3534549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T19:59:25.3534639Z (self.create_arg(fn(*args)),), 2023-07-07T19:59:25.3534645Z 2023-07-07T19:59:25.3534918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T19:59:25.3534992Z out = f(*tensors) 2023-07-07T19:59:25.3535050Z 2023-07-07T19:59:25.3535142Z File "", line 1, in 2023-07-07T19:59:25.3535148Z 2023-07-07T19:59:25.3535434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/_utils.py", line 30, in wrapped 2023-07-07T19:59:25.3535566Z return torch.fx.Interpreter(graph_module).run(*args) 2023-07-07T19:59:25.3535572Z 2023-07-07T19:59:25.3535879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 138, in run 2023-07-07T19:59:25.3535978Z self.env[node] = self.run_node(node) 2023-07-07T19:59:25.3535984Z 2023-07-07T19:59:25.3536248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 195, in run_node 2023-07-07T19:59:25.3536366Z return getattr(self, n.op)(n.target, args, kwargs) 2023-07-07T19:59:25.3536371Z 2023-07-07T19:59:25.3536642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 267, in call_function 2023-07-07T19:59:25.3536724Z return target(*args, **kwargs) 2023-07-07T19:59:25.3536730Z 2023-07-07T19:59:25.3537010Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3537143Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3537149Z 2023-07-07T19:59:25.3537402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3537489Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3537494Z 2023-07-07T19:59:25.3537800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3537934Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3537940Z 2023-07-07T19:59:25.3538253Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3538392Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3538398Z 2023-07-07T19:59:25.3538689Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3538802Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3538808Z 2023-07-07T19:59:25.3539084Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3539227Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3539234Z 2023-07-07T19:59:25.3539537Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3539695Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3539701Z 2023-07-07T19:59:25.3539986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3540122Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3540128Z 2023-07-07T19:59:25.3540381Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3540464Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3540474Z 2023-07-07T19:59:25.3540779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3540899Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3540905Z 2023-07-07T19:59:25.3541217Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3541351Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3541357Z 2023-07-07T19:59:25.3541717Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3541815Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3541821Z 2023-07-07T19:59:25.3542067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3542168Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3542224Z 2023-07-07T19:59:25.3542480Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3542563Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3542568Z 2023-07-07T19:59:25.3542872Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3542992Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3542998Z 2023-07-07T19:59:25.3543310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3543444Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3543449Z 2023-07-07T19:59:25.3543740Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3543867Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3543873Z 2023-07-07T19:59:25.3544145Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3544289Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3544295Z 2023-07-07T19:59:25.3544597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3544753Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3544762Z 2023-07-07T19:59:25.3545046Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3545167Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3545184Z 2023-07-07T19:59:25.3545426Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3545513Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3545518Z 2023-07-07T19:59:25.3545822Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3545955Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3545960Z 2023-07-07T19:59:25.3546273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3546410Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3546416Z 2023-07-07T19:59:25.3546707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3546806Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3546812Z 2023-07-07T19:59:25.3547058Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3547153Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3547170Z 2023-07-07T19:59:25.3547410Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3547491Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3547496Z 2023-07-07T19:59:25.3547798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3547930Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3547991Z 2023-07-07T19:59:25.3548297Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3548432Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3548438Z 2023-07-07T19:59:25.3548725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3548903Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3548909Z 2023-07-07T19:59:25.3549181Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3549323Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3549329Z 2023-07-07T19:59:25.3549619Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3549779Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3549784Z 2023-07-07T19:59:25.3550067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3550200Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3550210Z 2023-07-07T19:59:25.3550464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3550547Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3550552Z 2023-07-07T19:59:25.3550856Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3550986Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3550991Z 2023-07-07T19:59:25.3551304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3551439Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3551444Z 2023-07-07T19:59:25.3551723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3551819Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3551828Z 2023-07-07T19:59:25.3552074Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3552175Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3552181Z 2023-07-07T19:59:25.3552434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3552517Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3552522Z 2023-07-07T19:59:25.3552825Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3552961Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3552966Z 2023-07-07T19:59:25.3553269Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3553403Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3553412Z 2023-07-07T19:59:25.3553691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3553814Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3553820Z 2023-07-07T19:59:25.3554093Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3554237Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3554243Z 2023-07-07T19:59:25.3554703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3554862Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3554868Z 2023-07-07T19:59:25.3555153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3555352Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3555357Z 2023-07-07T19:59:25.3555612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3555698Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3555703Z 2023-07-07T19:59:25.3555995Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3556128Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3556133Z 2023-07-07T19:59:25.3556449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3556582Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3556589Z 2023-07-07T19:59:25.3556877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3556978Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3556983Z 2023-07-07T19:59:25.3557228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3557329Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3557334Z 2023-07-07T19:59:25.3557586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3557670Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3557675Z 2023-07-07T19:59:25.3557969Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3558101Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3558106Z 2023-07-07T19:59:25.3558413Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3558551Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3558557Z 2023-07-07T19:59:25.3558846Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3558969Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3558975Z 2023-07-07T19:59:25.3559246Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3559387Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3559396Z 2023-07-07T19:59:25.3559699Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3559853Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3559859Z 2023-07-07T19:59:25.3560142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3560268Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3560273Z 2023-07-07T19:59:25.3560524Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3560606Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3560611Z 2023-07-07T19:59:25.3560915Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3561108Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3561114Z 2023-07-07T19:59:25.3561422Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3561557Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3561562Z 2023-07-07T19:59:25.3561852Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3562009Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3562015Z 2023-07-07T19:59:25.3562260Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3562348Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3562354Z 2023-07-07T19:59:25.3562610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3562693Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3562701Z 2023-07-07T19:59:25.3563005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3563136Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3563141Z 2023-07-07T19:59:25.3563453Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3563590Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3563595Z 2023-07-07T19:59:25.3563886Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3564010Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3564015Z 2023-07-07T19:59:25.3564287Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3564565Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3564589Z 2023-07-07T19:59:25.3564926Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3565083Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3565093Z 2023-07-07T19:59:25.3565374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3565509Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3565514Z 2023-07-07T19:59:25.3565773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3565858Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3565863Z 2023-07-07T19:59:25.3566171Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3566304Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3566309Z 2023-07-07T19:59:25.3566622Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3566744Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3566767Z 2023-07-07T19:59:25.3567044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3567141Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3567147Z 2023-07-07T19:59:25.3567393Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3567497Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3567502Z 2023-07-07T19:59:25.3567853Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3567939Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3567945Z 2023-07-07T19:59:25.3568251Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3568385Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3568478Z 2023-07-07T19:59:25.3568787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3568908Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3568928Z 2023-07-07T19:59:25.3569203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3569326Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3569332Z 2023-07-07T19:59:25.3569614Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3569758Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3569763Z 2023-07-07T19:59:25.3570071Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3570231Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3570238Z 2023-07-07T19:59:25.3570523Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3570658Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3570664Z 2023-07-07T19:59:25.3570918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3571003Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3571008Z 2023-07-07T19:59:25.3571304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3571438Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3571444Z 2023-07-07T19:59:25.3571752Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3571890Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3571896Z 2023-07-07T19:59:25.3572189Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3572286Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3572291Z 2023-07-07T19:59:25.3572538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3572637Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3572643Z 2023-07-07T19:59:25.3572900Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3572972Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3572989Z 2023-07-07T19:59:25.3573282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3573418Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3573424Z 2023-07-07T19:59:25.3573730Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3573865Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3573870Z 2023-07-07T19:59:25.3574164Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3574344Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3574351Z 2023-07-07T19:59:25.3574624Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3574768Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3574774Z 2023-07-07T19:59:25.3575078Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3575284Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3575290Z 2023-07-07T19:59:25.3575558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3575691Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3575696Z 2023-07-07T19:59:25.3575951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3576038Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3576044Z 2023-07-07T19:59:25.3576345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3576477Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3576482Z 2023-07-07T19:59:25.3576794Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3576928Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3576934Z 2023-07-07T19:59:25.3577224Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3577321Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3577327Z 2023-07-07T19:59:25.3577563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3577668Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3577673Z 2023-07-07T19:59:25.3577926Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3578012Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3578016Z 2023-07-07T19:59:25.3578319Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3578455Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3578460Z 2023-07-07T19:59:25.3578766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3578901Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3578906Z 2023-07-07T19:59:25.3579199Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3579323Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3579329Z 2023-07-07T19:59:25.3579588Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3579733Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3579742Z 2023-07-07T19:59:25.3580044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3580199Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3580205Z 2023-07-07T19:59:25.3580487Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3580622Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3580628Z 2023-07-07T19:59:25.3580948Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3581033Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3581038Z 2023-07-07T19:59:25.3581342Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3581473Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3581530Z 2023-07-07T19:59:25.3581839Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3581961Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3581966Z 2023-07-07T19:59:25.3582255Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3582351Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3582357Z 2023-07-07T19:59:25.3582606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3582707Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3582713Z 2023-07-07T19:59:25.3582966Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3583048Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3583059Z 2023-07-07T19:59:25.3583363Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3583495Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3583501Z 2023-07-07T19:59:25.3583808Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3583931Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3583937Z 2023-07-07T19:59:25.3584228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3584351Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3584357Z 2023-07-07T19:59:25.3584630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3584777Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3584782Z 2023-07-07T19:59:25.3585084Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3585238Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3585244Z 2023-07-07T19:59:25.3585525Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3585661Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3585667Z 2023-07-07T19:59:25.3585922Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3585993Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3585998Z 2023-07-07T19:59:25.3586302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3586436Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3586442Z 2023-07-07T19:59:25.3586749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3586883Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3586889Z 2023-07-07T19:59:25.3587180Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3587339Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3587346Z 2023-07-07T19:59:25.3587591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3587691Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3587696Z 2023-07-07T19:59:25.3587951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3588074Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3588079Z 2023-07-07T19:59:25.3588383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3588514Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3588520Z 2023-07-07T19:59:25.3588827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3588965Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3588971Z 2023-07-07T19:59:25.3589262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3589385Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3589391Z 2023-07-07T19:59:25.3589664Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3589813Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3589819Z 2023-07-07T19:59:25.3590122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3590266Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3590284Z 2023-07-07T19:59:25.3590560Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3590693Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3590699Z 2023-07-07T19:59:25.3590955Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3591039Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3591044Z 2023-07-07T19:59:25.3591354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3591484Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3591489Z 2023-07-07T19:59:25.3591799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3591934Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3591940Z 2023-07-07T19:59:25.3592236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3592333Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3592338Z 2023-07-07T19:59:25.3592572Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3592671Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3592681Z 2023-07-07T19:59:25.3592935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3593017Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3593022Z 2023-07-07T19:59:25.3593326Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3593457Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3593462Z 2023-07-07T19:59:25.3593824Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3593959Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3593965Z 2023-07-07T19:59:25.3594257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3594380Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3594437Z 2023-07-07T19:59:25.3594780Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3594926Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3594931Z 2023-07-07T19:59:25.3595233Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3595389Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3595395Z 2023-07-07T19:59:25.3595681Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3595815Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3595820Z 2023-07-07T19:59:25.3596074Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3596187Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3596192Z 2023-07-07T19:59:25.3596496Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3596627Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3596632Z 2023-07-07T19:59:25.3596926Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3597062Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3597071Z 2023-07-07T19:59:25.3597364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3597461Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3597467Z 2023-07-07T19:59:25.3597713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3597820Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3597825Z 2023-07-07T19:59:25.3598080Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3598162Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3598168Z 2023-07-07T19:59:25.3598470Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3598600Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3598605Z 2023-07-07T19:59:25.3598903Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3599037Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3599043Z 2023-07-07T19:59:25.3599332Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3599459Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3599465Z 2023-07-07T19:59:25.3599737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3599879Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3599884Z 2023-07-07T19:59:25.3600186Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3600410Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3600416Z 2023-07-07T19:59:25.3600703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3600836Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3600841Z 2023-07-07T19:59:25.3601094Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3601218Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3601223Z 2023-07-07T19:59:25.3601527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3601657Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3601663Z 2023-07-07T19:59:25.3601970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3602106Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3602112Z 2023-07-07T19:59:25.3602399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3602495Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3602501Z 2023-07-07T19:59:25.3602750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3602849Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3602854Z 2023-07-07T19:59:25.3603107Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3603179Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3603183Z 2023-07-07T19:59:25.3603487Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3603621Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3603627Z 2023-07-07T19:59:25.3603930Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3604064Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3604069Z 2023-07-07T19:59:25.3604366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3604659Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3604670Z 2023-07-07T19:59:25.3604969Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3605113Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3605119Z 2023-07-07T19:59:25.3605425Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3605569Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3605575Z 2023-07-07T19:59:25.3605855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3605988Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3605998Z 2023-07-07T19:59:25.3606254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3606337Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3606342Z 2023-07-07T19:59:25.3606649Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3606785Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3606790Z 2023-07-07T19:59:25.3607190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3607328Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3607333Z 2023-07-07T19:59:25.3607627Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3607795Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3607800Z 2023-07-07T19:59:25.3608046Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3608144Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3608149Z 2023-07-07T19:59:25.3608401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3608486Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3608491Z 2023-07-07T19:59:25.3608800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3608931Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3608937Z 2023-07-07T19:59:25.3609243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3609376Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3609386Z 2023-07-07T19:59:25.3609674Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3609786Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3609803Z 2023-07-07T19:59:25.3610062Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3610205Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3610211Z 2023-07-07T19:59:25.3610519Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3610675Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3610680Z 2023-07-07T19:59:25.3610964Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3611102Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3611107Z 2023-07-07T19:59:25.3611362Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3611445Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3611451Z 2023-07-07T19:59:25.3611752Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3611872Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3611893Z 2023-07-07T19:59:25.3612186Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3612322Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3612328Z 2023-07-07T19:59:25.3612617Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3612718Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3612723Z 2023-07-07T19:59:25.3612972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3613072Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3613077Z 2023-07-07T19:59:25.3613330Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3613412Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3613417Z 2023-07-07T19:59:25.3613778Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3613899Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3613917Z 2023-07-07T19:59:25.3614211Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3614397Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3614403Z 2023-07-07T19:59:25.3614691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3614814Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3614820Z 2023-07-07T19:59:25.3615093Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3615239Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3615244Z 2023-07-07T19:59:25.3615546Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3615701Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3615707Z 2023-07-07T19:59:25.3615994Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3616126Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3616132Z 2023-07-07T19:59:25.3616372Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3616455Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3616460Z 2023-07-07T19:59:25.3616762Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3616895Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3616901Z 2023-07-07T19:59:25.3617208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3617341Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3617351Z 2023-07-07T19:59:25.3617642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3617737Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3617742Z 2023-07-07T19:59:25.3617987Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3618089Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3618094Z 2023-07-07T19:59:25.3618335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3618422Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3618427Z 2023-07-07T19:59:25.3618727Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3618858Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3618863Z 2023-07-07T19:59:25.3619170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3619305Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3619311Z 2023-07-07T19:59:25.3619599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3619722Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3619728Z 2023-07-07T19:59:25.3620060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3620203Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3620209Z 2023-07-07T19:59:25.3620499Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3620655Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3620736Z 2023-07-07T19:59:25.3621019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3621153Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3621160Z 2023-07-07T19:59:25.3621413Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3621498Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3621503Z 2023-07-07T19:59:25.3621810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3621943Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3621948Z 2023-07-07T19:59:25.3622257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3622396Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3622402Z 2023-07-07T19:59:25.3622691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3622776Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3622782Z 2023-07-07T19:59:25.3623026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3623125Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3623130Z 2023-07-07T19:59:25.3623387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3623470Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3623475Z 2023-07-07T19:59:25.3623781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3623912Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3623921Z 2023-07-07T19:59:25.3624229Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3624364Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3624369Z 2023-07-07T19:59:25.3624647Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3624771Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3624776Z 2023-07-07T19:59:25.3625052Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3625196Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3625202Z 2023-07-07T19:59:25.3625503Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3625663Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3625669Z 2023-07-07T19:59:25.3625953Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3626085Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3626090Z 2023-07-07T19:59:25.3626346Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3626429Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3626489Z 2023-07-07T19:59:25.3626797Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3626915Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3626921Z 2023-07-07T19:59:25.3627228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3627414Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3627420Z 2023-07-07T19:59:25.3627714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3627812Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3627817Z 2023-07-07T19:59:25.3628062Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3628168Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3628173Z 2023-07-07T19:59:25.3628426Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3628508Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3628513Z 2023-07-07T19:59:25.3628815Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3628940Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3628945Z 2023-07-07T19:59:25.3629252Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3629385Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3629391Z 2023-07-07T19:59:25.3629682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3629810Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3629816Z 2023-07-07T19:59:25.3630088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3630231Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3630236Z 2023-07-07T19:59:25.3630574Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3630797Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3630805Z 2023-07-07T19:59:25.3631093Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3631213Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3631230Z 2023-07-07T19:59:25.3631480Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3631564Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3631569Z 2023-07-07T19:59:25.3631871Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3632003Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3632013Z 2023-07-07T19:59:25.3632320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3632456Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3632462Z 2023-07-07T19:59:25.3632753Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3632850Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3632856Z 2023-07-07T19:59:25.3633180Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3633271Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3633288Z 2023-07-07T19:59:25.3633534Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3633618Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3633622Z 2023-07-07T19:59:25.3633982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3634113Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3634118Z 2023-07-07T19:59:25.3634430Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3634636Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3634642Z 2023-07-07T19:59:25.3634943Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3635067Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3635073Z 2023-07-07T19:59:25.3635347Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3635477Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3635500Z 2023-07-07T19:59:25.3635787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3635943Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3635949Z 2023-07-07T19:59:25.3636229Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3636363Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3636368Z 2023-07-07T19:59:25.3636627Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3636712Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3636718Z 2023-07-07T19:59:25.3637023Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3637158Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3637164Z 2023-07-07T19:59:25.3637473Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3637609Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3637615Z 2023-07-07T19:59:25.3637892Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3637989Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3637998Z 2023-07-07T19:59:25.3638242Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3638343Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3638349Z 2023-07-07T19:59:25.3638602Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3638690Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3638695Z 2023-07-07T19:59:25.3639016Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3639197Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3639203Z 2023-07-07T19:59:25.3639512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3639647Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3639720Z 2023-07-07T19:59:25.3640000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3640125Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3640131Z 2023-07-07T19:59:25.3640401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3640599Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3640604Z 2023-07-07T19:59:25.3640904Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3641060Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3641066Z 2023-07-07T19:59:25.3641419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3641609Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3641615Z 2023-07-07T19:59:25.3641874Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3641957Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3641962Z 2023-07-07T19:59:25.3642252Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3642393Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3642399Z 2023-07-07T19:59:25.3642706Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3642841Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3642847Z 2023-07-07T19:59:25.3643147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3643245Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3643250Z 2023-07-07T19:59:25.3643495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3643595Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3643601Z 2023-07-07T19:59:25.3643854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3643941Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3643946Z 2023-07-07T19:59:25.3644240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3644372Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3644570Z 2023-07-07T19:59:25.3644889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3645030Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3645036Z 2023-07-07T19:59:25.3645328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3645453Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3645462Z 2023-07-07T19:59:25.3645736Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3645881Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3645887Z 2023-07-07T19:59:25.3646191Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3646349Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3646354Z 2023-07-07T19:59:25.3646744Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3646869Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3646874Z 2023-07-07T19:59:25.3647131Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3647215Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3647290Z 2023-07-07T19:59:25.3647597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3647729Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3647734Z 2023-07-07T19:59:25.3648043Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3648178Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3648183Z 2023-07-07T19:59:25.3648479Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3648577Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3648582Z 2023-07-07T19:59:25.3648830Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3648918Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3648927Z 2023-07-07T19:59:25.3649183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3649266Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3649271Z 2023-07-07T19:59:25.3649576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3649708Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3649713Z 2023-07-07T19:59:25.3650028Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3650165Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3650171Z 2023-07-07T19:59:25.3650460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3650590Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3650595Z 2023-07-07T19:59:25.3650870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3651001Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3651007Z 2023-07-07T19:59:25.3651309Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3651464Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3651474Z 2023-07-07T19:59:25.3651755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3651889Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3651894Z 2023-07-07T19:59:25.3652149Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3652237Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3652242Z 2023-07-07T19:59:25.3652544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3652676Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3652681Z 2023-07-07T19:59:25.3652988Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3653168Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3653187Z 2023-07-07T19:59:25.3653467Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3653566Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3653571Z 2023-07-07T19:59:25.3653815Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3653978Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3653983Z 2023-07-07T19:59:25.3654239Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3654320Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3654326Z 2023-07-07T19:59:25.3654629Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3654759Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3654769Z 2023-07-07T19:59:25.3655075Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3655198Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3655217Z 2023-07-07T19:59:25.3655495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3655623Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3655629Z 2023-07-07T19:59:25.3655901Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3656043Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3656049Z 2023-07-07T19:59:25.3656349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3656508Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3656513Z 2023-07-07T19:59:25.3656797Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3656931Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3656940Z 2023-07-07T19:59:25.3657194Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3657266Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3657283Z 2023-07-07T19:59:25.3657576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3657708Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3657714Z 2023-07-07T19:59:25.3658024Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3658159Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3658165Z 2023-07-07T19:59:25.3658454Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3658550Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3658559Z 2023-07-07T19:59:25.3658805Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3658906Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3658912Z 2023-07-07T19:59:25.3659166Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3659235Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3659252Z 2023-07-07T19:59:25.3659545Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3659730Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3659736Z 2023-07-07T19:59:25.3660042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3660176Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3660237Z 2023-07-07T19:59:25.3660527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3660652Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3660657Z 2023-07-07T19:59:25.3660931Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3661075Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3661080Z 2023-07-07T19:59:25.3661387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3661544Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3661549Z 2023-07-07T19:59:25.3661818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3661956Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3661961Z 2023-07-07T19:59:25.3662216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3662299Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3662304Z 2023-07-07T19:59:25.3662606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3662737Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3662742Z 2023-07-07T19:59:25.3663053Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3663187Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3663192Z 2023-07-07T19:59:25.3663483Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3663582Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3663587Z 2023-07-07T19:59:25.3663818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3663918Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3663923Z 2023-07-07T19:59:25.3664175Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3664260Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3664265Z 2023-07-07T19:59:25.3664572Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3664703Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3664708Z 2023-07-07T19:59:25.3665014Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3665152Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3665157Z 2023-07-07T19:59:25.3665445Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3665570Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3665576Z 2023-07-07T19:59:25.3665835Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3665980Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3666039Z 2023-07-07T19:59:25.3666341Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3666498Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3666504Z 2023-07-07T19:59:25.3666786Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3666974Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3666979Z 2023-07-07T19:59:25.3667233Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3667315Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3667320Z 2023-07-07T19:59:25.3667621Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3667757Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3667762Z 2023-07-07T19:59:25.3668056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3668193Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3668199Z 2023-07-07T19:59:25.3668493Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3668591Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3668596Z 2023-07-07T19:59:25.3668841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3668941Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3668946Z 2023-07-07T19:59:25.3669236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3669375Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3669388Z 2023-07-07T19:59:25.3669857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3670057Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3670064Z 2023-07-07T19:59:25.3670524Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3670731Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3670739Z 2023-07-07T19:59:25.3671188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3671373Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3671381Z 2023-07-07T19:59:25.3671800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3672018Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3672026Z 2023-07-07T19:59:25.3672489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3672719Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3672732Z 2023-07-07T19:59:25.3673166Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3673366Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3673374Z 2023-07-07T19:59:25.3673760Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3673871Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3673878Z 2023-07-07T19:59:25.3674528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3674731Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3674739Z 2023-07-07T19:59:25.3675217Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3675419Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3675488Z 2023-07-07T19:59:25.3675932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3676077Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3676084Z 2023-07-07T19:59:25.3676465Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3676614Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3676622Z 2023-07-07T19:59:25.3677019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3677129Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3677137Z 2023-07-07T19:59:25.3677603Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3677802Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3677816Z 2023-07-07T19:59:25.3678292Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3678498Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3678506Z 2023-07-07T19:59:25.3678953Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3679135Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3679143Z 2023-07-07T19:59:25.3679565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3679778Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3679786Z 2023-07-07T19:59:25.3680252Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3680477Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3680497Z 2023-07-07T19:59:25.3680911Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3681108Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3681116Z 2023-07-07T19:59:25.3681509Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3681634Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3681642Z 2023-07-07T19:59:25.3682116Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3682312Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3682319Z 2023-07-07T19:59:25.3682794Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3683001Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3683008Z 2023-07-07T19:59:25.3683460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3683592Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3683612Z 2023-07-07T19:59:25.3683973Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3684121Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3684227Z 2023-07-07T19:59:25.3684738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3684863Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3684870Z 2023-07-07T19:59:25.3685343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3685640Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3685648Z 2023-07-07T19:59:25.3686122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3686324Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3686332Z 2023-07-07T19:59:25.3686777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3686954Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3686976Z 2023-07-07T19:59:25.3687383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3687600Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3687608Z 2023-07-07T19:59:25.3688073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3688308Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3688315Z 2023-07-07T19:59:25.3688749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3688950Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3688958Z 2023-07-07T19:59:25.3689344Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3689477Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3689485Z 2023-07-07T19:59:25.3689954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3690152Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3690159Z 2023-07-07T19:59:25.3690621Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3690823Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3690831Z 2023-07-07T19:59:25.3691278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3691424Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3691431Z 2023-07-07T19:59:25.3691806Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3691960Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3691969Z 2023-07-07T19:59:25.3692356Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3692480Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3692487Z 2023-07-07T19:59:25.3692958Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3693161Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3693168Z 2023-07-07T19:59:25.3693628Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3693827Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3693835Z 2023-07-07T19:59:25.3694374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3694559Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3694567Z 2023-07-07T19:59:25.3694986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3695200Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3695267Z 2023-07-07T19:59:25.3695729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3695960Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3695968Z 2023-07-07T19:59:25.3696404Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3696605Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3696613Z 2023-07-07T19:59:25.3696994Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3697121Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3697128Z 2023-07-07T19:59:25.3697591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3697790Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3697802Z 2023-07-07T19:59:25.3698282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3698483Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3698491Z 2023-07-07T19:59:25.3698939Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3699082Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3699089Z 2023-07-07T19:59:25.3699467Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3699615Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3699623Z 2023-07-07T19:59:25.3699997Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3700122Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3700134Z 2023-07-07T19:59:25.3700599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3700797Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3700804Z 2023-07-07T19:59:25.3701279Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3701482Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3701489Z 2023-07-07T19:59:25.3701933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3702120Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3702127Z 2023-07-07T19:59:25.3702541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3702760Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3702768Z 2023-07-07T19:59:25.3703231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3703447Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3703455Z 2023-07-07T19:59:25.3703893Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3704151Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3704160Z 2023-07-07T19:59:25.3704548Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3704674Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3704682Z 2023-07-07T19:59:25.3705141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3705398Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3705406Z 2023-07-07T19:59:25.3705883Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3706084Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3706091Z 2023-07-07T19:59:25.3706541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3706677Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3706685Z 2023-07-07T19:59:25.3707056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3707202Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3707210Z 2023-07-07T19:59:25.3707594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3707724Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3707731Z 2023-07-07T19:59:25.3708201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3708396Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3708404Z 2023-07-07T19:59:25.3708879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3709087Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3709095Z 2023-07-07T19:59:25.3709538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3709711Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3709719Z 2023-07-07T19:59:25.3710130Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3710353Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3710361Z 2023-07-07T19:59:25.3710819Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3711053Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3711061Z 2023-07-07T19:59:25.3711496Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3711696Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3711704Z 2023-07-07T19:59:25.3712098Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3712227Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3712234Z 2023-07-07T19:59:25.3712715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3712899Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3712919Z 2023-07-07T19:59:25.3713375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3713579Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3713587Z 2023-07-07T19:59:25.3714108Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3714253Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3714261Z 2023-07-07T19:59:25.3714694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3714845Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3714926Z 2023-07-07T19:59:25.3715322Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3715447Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3715455Z 2023-07-07T19:59:25.3715920Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3716106Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3716113Z 2023-07-07T19:59:25.3716588Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3716789Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3716797Z 2023-07-07T19:59:25.3717238Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3717424Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3717437Z 2023-07-07T19:59:25.3717852Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3718064Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3718072Z 2023-07-07T19:59:25.3718538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3718772Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3718779Z 2023-07-07T19:59:25.3719218Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3719404Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3719424Z 2023-07-07T19:59:25.3719798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3719928Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3719935Z 2023-07-07T19:59:25.3720397Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3720593Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3720601Z 2023-07-07T19:59:25.3721075Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3721277Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3721290Z 2023-07-07T19:59:25.3721737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3721879Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3721887Z 2023-07-07T19:59:25.3722262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3722402Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3722422Z 2023-07-07T19:59:25.3722795Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3722919Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3722926Z 2023-07-07T19:59:25.3723402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3723600Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3723607Z 2023-07-07T19:59:25.3724149Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3724353Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3724361Z 2023-07-07T19:59:25.3724915Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3725196Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3725204Z 2023-07-07T19:59:25.3725624Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3725904Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3725915Z 2023-07-07T19:59:25.3726484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3726787Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3726796Z 2023-07-07T19:59:25.3727404Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3727640Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3727649Z 2023-07-07T19:59:25.3728051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3728210Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3728218Z 2023-07-07T19:59:25.3728691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3728895Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3728902Z 2023-07-07T19:59:25.3729381Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3729589Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3729597Z 2023-07-07T19:59:25.3730051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3730196Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3730204Z 2023-07-07T19:59:25.3730573Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3730729Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3730736Z 2023-07-07T19:59:25.3731134Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3731261Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3731269Z 2023-07-07T19:59:25.3731749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3731956Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3731963Z 2023-07-07T19:59:25.3732442Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3732648Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3732655Z 2023-07-07T19:59:25.3733128Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3733329Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3733336Z 2023-07-07T19:59:25.3733755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3733977Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3733987Z 2023-07-07T19:59:25.3734584Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3734829Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3734838Z 2023-07-07T19:59:25.3735283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3735489Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3735572Z 2023-07-07T19:59:25.3735962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3736084Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3736091Z 2023-07-07T19:59:25.3736565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3736766Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3736774Z 2023-07-07T19:59:25.3737252Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3737457Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3737465Z 2023-07-07T19:59:25.3737932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3738082Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3738090Z 2023-07-07T19:59:25.3738469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3738622Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3738630Z 2023-07-07T19:59:25.3739026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3739155Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3739163Z 2023-07-07T19:59:25.3739638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3739825Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3739833Z 2023-07-07T19:59:25.3740327Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3740536Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3740549Z 2023-07-07T19:59:25.3741009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3741229Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3741237Z 2023-07-07T19:59:25.3741676Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3741902Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3741910Z 2023-07-07T19:59:25.3742383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3742620Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3742628Z 2023-07-07T19:59:25.3743067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3743265Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3743289Z 2023-07-07T19:59:25.3743670Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3743796Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3743804Z 2023-07-07T19:59:25.3744283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3744486Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3744582Z 2023-07-07T19:59:25.3745042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3745247Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3745255Z 2023-07-07T19:59:25.3745712Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3745940Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3745947Z 2023-07-07T19:59:25.3746240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3746330Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3746349Z 2023-07-07T19:59:25.3746592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3746679Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3746684Z 2023-07-07T19:59:25.3746997Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3747132Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3747137Z 2023-07-07T19:59:25.3747447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3747587Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3747592Z 2023-07-07T19:59:25.3747885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3748010Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3748015Z 2023-07-07T19:59:25.3748287Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3748424Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3748446Z 2023-07-07T19:59:25.3748738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3748895Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3748900Z 2023-07-07T19:59:25.3749187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3749322Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3749328Z 2023-07-07T19:59:25.3749582Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3749666Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3749672Z 2023-07-07T19:59:25.3749974Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3750111Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3750117Z 2023-07-07T19:59:25.3750426Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3750563Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3750573Z 2023-07-07T19:59:25.3750854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3750952Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3750957Z 2023-07-07T19:59:25.3751203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3751304Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3751310Z 2023-07-07T19:59:25.3751563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3751789Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3751795Z 2023-07-07T19:59:25.3752101Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3752232Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3752238Z 2023-07-07T19:59:25.3752602Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3752738Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3752744Z 2023-07-07T19:59:25.3753023Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3753147Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3753153Z 2023-07-07T19:59:25.3753431Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3753579Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3753584Z 2023-07-07T19:59:25.3753885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3754042Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3754051Z 2023-07-07T19:59:25.3754334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3754543Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3754549Z 2023-07-07T19:59:25.3754810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3754894Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3754899Z 2023-07-07T19:59:25.3755195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3755329Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3755334Z 2023-07-07T19:59:25.3755645Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3755785Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3755791Z 2023-07-07T19:59:25.3756080Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3756178Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3756183Z 2023-07-07T19:59:25.3756431Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3756534Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3756539Z 2023-07-07T19:59:25.3756803Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3756889Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3756894Z 2023-07-07T19:59:25.3757192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3757323Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3757333Z 2023-07-07T19:59:25.3757648Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3757781Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3757786Z 2023-07-07T19:59:25.3758080Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3758207Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3758212Z 2023-07-07T19:59:25.3758559Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3758704Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3758710Z 2023-07-07T19:59:25.3759013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3759221Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3759227Z 2023-07-07T19:59:25.3759511Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3759637Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3759643Z 2023-07-07T19:59:25.3759898Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3759981Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3759990Z 2023-07-07T19:59:25.3760295Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3760426Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3760431Z 2023-07-07T19:59:25.3760740Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3760878Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3760884Z 2023-07-07T19:59:25.3761179Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3761276Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3761281Z 2023-07-07T19:59:25.3761527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3761619Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3761625Z 2023-07-07T19:59:25.3761880Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3761963Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3761968Z 2023-07-07T19:59:25.3762273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3762408Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3762414Z 2023-07-07T19:59:25.3762719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3762854Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3762860Z 2023-07-07T19:59:25.3763150Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3763278Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3763284Z 2023-07-07T19:59:25.3763557Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3763691Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3763696Z 2023-07-07T19:59:25.3764003Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3764158Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3764163Z 2023-07-07T19:59:25.3764582Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3764734Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3764740Z 2023-07-07T19:59:25.3765095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3765182Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3765187Z 2023-07-07T19:59:25.3765495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3765628Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3765697Z 2023-07-07T19:59:25.3766007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3766133Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3766153Z 2023-07-07T19:59:25.3766437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3766534Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3766540Z 2023-07-07T19:59:25.3766787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3766888Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3766893Z 2023-07-07T19:59:25.3767147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3767231Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3767244Z 2023-07-07T19:59:25.3767551Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3767683Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3767688Z 2023-07-07T19:59:25.3767996Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3768117Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3768122Z 2023-07-07T19:59:25.3768416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3768540Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3768546Z 2023-07-07T19:59:25.3768816Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3768960Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3768969Z 2023-07-07T19:59:25.3769271Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3769426Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3769432Z 2023-07-07T19:59:25.3769715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3769850Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3769859Z 2023-07-07T19:59:25.3770113Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3770184Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3770202Z 2023-07-07T19:59:25.3770496Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3770634Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3770640Z 2023-07-07T19:59:25.3770948Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3771081Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3771087Z 2023-07-07T19:59:25.3771380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3771477Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3771540Z 2023-07-07T19:59:25.3771791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3771893Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3771899Z 2023-07-07T19:59:25.3772151Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3772285Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3772303Z 2023-07-07T19:59:25.3772595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3772726Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3772732Z 2023-07-07T19:59:25.3773041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3773175Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3773184Z 2023-07-07T19:59:25.3786713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3786845Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3786851Z 2023-07-07T19:59:25.3787128Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3787284Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3787291Z 2023-07-07T19:59:25.3787596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3787754Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3787759Z 2023-07-07T19:59:25.3788031Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3788175Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3788180Z 2023-07-07T19:59:25.3788438Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3788523Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3788528Z 2023-07-07T19:59:25.3788830Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3788965Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3788970Z 2023-07-07T19:59:25.3789278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3789414Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3789421Z 2023-07-07T19:59:25.3789715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3789812Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3789817Z 2023-07-07T19:59:25.3790064Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3790153Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3790158Z 2023-07-07T19:59:25.3790417Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3790499Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3790504Z 2023-07-07T19:59:25.3790810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3790940Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3790945Z 2023-07-07T19:59:25.3791253Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3791487Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3791493Z 2023-07-07T19:59:25.3791787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3791915Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3791989Z 2023-07-07T19:59:25.3792272Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3792406Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3792412Z 2023-07-07T19:59:25.3792716Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3792872Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3792878Z 2023-07-07T19:59:25.3793161Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3793296Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3793301Z 2023-07-07T19:59:25.3793558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3793642Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3793652Z 2023-07-07T19:59:25.3793957Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3794090Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3794095Z 2023-07-07T19:59:25.3794402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3794644Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3794650Z 2023-07-07T19:59:25.3794960Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3795058Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3795063Z 2023-07-07T19:59:25.3795313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3795422Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3795427Z 2023-07-07T19:59:25.3795684Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3795769Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3795774Z 2023-07-07T19:59:25.3796084Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3796218Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3796223Z 2023-07-07T19:59:25.3796536Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3796659Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3796664Z 2023-07-07T19:59:25.3796953Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3797083Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3797088Z 2023-07-07T19:59:25.3797359Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3797503Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3797509Z 2023-07-07T19:59:25.3797815Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3797971Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3798045Z 2023-07-07T19:59:25.3798334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3798468Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3798474Z 2023-07-07T19:59:25.3798805Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3798974Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3798996Z 2023-07-07T19:59:25.3799336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3799469Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3799475Z 2023-07-07T19:59:25.3799784Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3799928Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3799933Z 2023-07-07T19:59:25.3800231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3800330Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3800336Z 2023-07-07T19:59:25.3800584Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3800692Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3800698Z 2023-07-07T19:59:25.3800954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3801025Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3801043Z 2023-07-07T19:59:25.3801336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3801470Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3801479Z 2023-07-07T19:59:25.3801787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3801924Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3801930Z 2023-07-07T19:59:25.3802222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3802351Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3802357Z 2023-07-07T19:59:25.3802631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3802775Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3802780Z 2023-07-07T19:59:25.3803083Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3803242Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3803248Z 2023-07-07T19:59:25.3803521Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3803659Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3803669Z 2023-07-07T19:59:25.3803922Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3804006Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3804011Z 2023-07-07T19:59:25.3804315Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3804578Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3804587Z 2023-07-07T19:59:25.3805026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3805165Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3805170Z 2023-07-07T19:59:25.3805467Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3805565Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3805640Z 2023-07-07T19:59:25.3805876Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3805981Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3805986Z 2023-07-07T19:59:25.3806240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3806326Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3806330Z 2023-07-07T19:59:25.3806641Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3806774Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3806779Z 2023-07-07T19:59:25.3807088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3807224Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3807233Z 2023-07-07T19:59:25.3807525Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3807651Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3807657Z 2023-07-07T19:59:25.3807918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3808064Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3808070Z 2023-07-07T19:59:25.3808376Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3808534Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3808539Z 2023-07-07T19:59:25.3808821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3808959Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3808965Z 2023-07-07T19:59:25.3809221Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3809306Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3809311Z 2023-07-07T19:59:25.3809617Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3809750Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3809755Z 2023-07-07T19:59:25.3810057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3810194Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3810199Z 2023-07-07T19:59:25.3810490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3810594Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3810599Z 2023-07-07T19:59:25.3810847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3810949Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3810955Z 2023-07-07T19:59:25.3811208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3811291Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3811296Z 2023-07-07T19:59:25.3811652Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3811788Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3811793Z 2023-07-07T19:59:25.3812090Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3812281Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3812286Z 2023-07-07T19:59:25.3812577Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3812704Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3812709Z 2023-07-07T19:59:25.3812983Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3813130Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3813135Z 2023-07-07T19:59:25.3813437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3813593Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3813599Z 2023-07-07T19:59:25.3813884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3814024Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3814029Z 2023-07-07T19:59:25.3814282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3814352Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3814357Z 2023-07-07T19:59:25.3814663Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3814801Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3814805Z 2023-07-07T19:59:25.3815111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3815246Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3815252Z 2023-07-07T19:59:25.3815548Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3815645Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3815650Z 2023-07-07T19:59:25.3815898Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3816001Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3816006Z 2023-07-07T19:59:25.3816262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3816336Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3816341Z 2023-07-07T19:59:25.3816642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3816773Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3816778Z 2023-07-07T19:59:25.3817086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3817226Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3817231Z 2023-07-07T19:59:25.3817524Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3817650Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3817655Z 2023-07-07T19:59:25.3817931Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3818137Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3818143Z 2023-07-07T19:59:25.3818446Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3818592Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3818656Z 2023-07-07T19:59:25.3818941Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3819074Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3819079Z 2023-07-07T19:59:25.3819334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3819422Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3819426Z 2023-07-07T19:59:25.3819735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3819867Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3819873Z 2023-07-07T19:59:25.3820182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3820316Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3820326Z 2023-07-07T19:59:25.3820618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3820703Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3820721Z 2023-07-07T19:59:25.3820956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3821059Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3821065Z 2023-07-07T19:59:25.3821324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3821410Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3821415Z 2023-07-07T19:59:25.3821720Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3821853Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3821862Z 2023-07-07T19:59:25.3822173Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3822310Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3822316Z 2023-07-07T19:59:25.3822609Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3822721Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3822740Z 2023-07-07T19:59:25.3823007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3823153Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3823158Z 2023-07-07T19:59:25.3823459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3823620Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3823626Z 2023-07-07T19:59:25.3823907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3824042Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3824047Z 2023-07-07T19:59:25.3824300Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3824383Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3824388Z 2023-07-07T19:59:25.3824747Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3824869Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3824886Z 2023-07-07T19:59:25.3825183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3825372Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3825378Z 2023-07-07T19:59:25.3825666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3825763Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3825768Z 2023-07-07T19:59:25.3826017Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3826117Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3826127Z 2023-07-07T19:59:25.3826378Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3826461Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3826466Z 2023-07-07T19:59:25.3826769Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3826892Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3826909Z 2023-07-07T19:59:25.3827204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3827339Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3827344Z 2023-07-07T19:59:25.3827633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3827762Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3827768Z 2023-07-07T19:59:25.3828044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3828188Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3828193Z 2023-07-07T19:59:25.3828494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3828656Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3828661Z 2023-07-07T19:59:25.3828943Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3829078Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3829084Z 2023-07-07T19:59:25.3829325Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3829413Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3829418Z 2023-07-07T19:59:25.3829722Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3829854Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3829859Z 2023-07-07T19:59:25.3830170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3830305Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3830310Z 2023-07-07T19:59:25.3830600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3830698Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3830704Z 2023-07-07T19:59:25.3831000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3831104Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3831109Z 2023-07-07T19:59:25.3831349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3831433Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3831438Z 2023-07-07T19:59:25.3831742Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3831926Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3831931Z 2023-07-07T19:59:25.3832237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3832373Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3832378Z 2023-07-07T19:59:25.3832673Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3832797Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3832803Z 2023-07-07T19:59:25.3833078Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3833222Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3833232Z 2023-07-07T19:59:25.3833520Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3833675Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3833681Z 2023-07-07T19:59:25.3833963Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3834096Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3834101Z 2023-07-07T19:59:25.3834360Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3834526Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3834532Z 2023-07-07T19:59:25.3834847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3834981Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3834991Z 2023-07-07T19:59:25.3835299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3835434Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3835440Z 2023-07-07T19:59:25.3835732Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3835816Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3835821Z 2023-07-07T19:59:25.3836072Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3836174Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3836180Z 2023-07-07T19:59:25.3836436Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3836521Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3836530Z 2023-07-07T19:59:25.3836834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3836966Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3836971Z 2023-07-07T19:59:25.3837281Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3837416Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3837422Z 2023-07-07T19:59:25.3837805Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3837919Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3837925Z 2023-07-07T19:59:25.3838203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3838411Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3838417Z 2023-07-07T19:59:25.3838719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3838876Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3838881Z 2023-07-07T19:59:25.3839165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3839305Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3839311Z 2023-07-07T19:59:25.3839567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3839652Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3839657Z 2023-07-07T19:59:25.3839961Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3840089Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3840094Z 2023-07-07T19:59:25.3840402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3840537Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3840543Z 2023-07-07T19:59:25.3840833Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3840935Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3840940Z 2023-07-07T19:59:25.3841187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3841290Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3841295Z 2023-07-07T19:59:25.3841550Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3841640Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3841645Z 2023-07-07T19:59:25.3841952Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3842071Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3842076Z 2023-07-07T19:59:25.3842383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3842522Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3842527Z 2023-07-07T19:59:25.3842817Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3842943Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3842949Z 2023-07-07T19:59:25.3843228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3843371Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3843377Z 2023-07-07T19:59:25.3843679Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3843835Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3843841Z 2023-07-07T19:59:25.3844183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3844306Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3844324Z 2023-07-07T19:59:25.3844724Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3844815Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3844906Z 2023-07-07T19:59:25.3845219Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3845354Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3845359Z 2023-07-07T19:59:25.3845672Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3845808Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3845813Z 2023-07-07T19:59:25.3846113Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3846213Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3846218Z 2023-07-07T19:59:25.3846464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3846553Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3846577Z 2023-07-07T19:59:25.3846819Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3846904Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3846909Z 2023-07-07T19:59:25.3847213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3847346Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3847351Z 2023-07-07T19:59:25.3847667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3847805Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3847810Z 2023-07-07T19:59:25.3848102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3848228Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3848238Z 2023-07-07T19:59:25.3848508Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3848639Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3848656Z 2023-07-07T19:59:25.3848946Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3849105Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3849110Z 2023-07-07T19:59:25.3849395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3849532Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3849537Z 2023-07-07T19:59:25.3849791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3849878Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3849883Z 2023-07-07T19:59:25.3850187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3850320Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3850325Z 2023-07-07T19:59:25.3850634Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3850769Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3850843Z 2023-07-07T19:59:25.3851123Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3851225Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3851231Z 2023-07-07T19:59:25.3851476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3851630Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3851636Z 2023-07-07T19:59:25.3851890Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3851973Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3851978Z 2023-07-07T19:59:25.3852282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3852414Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3852419Z 2023-07-07T19:59:25.3852730Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3852864Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3852869Z 2023-07-07T19:59:25.3853145Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3853275Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3853280Z 2023-07-07T19:59:25.3853554Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3853699Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3853704Z 2023-07-07T19:59:25.3854009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3854172Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3854177Z 2023-07-07T19:59:25.3854460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3854598Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3854603Z 2023-07-07T19:59:25.3854864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3854948Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3854953Z 2023-07-07T19:59:25.3855244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3855378Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3855383Z 2023-07-07T19:59:25.3855691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3855828Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3855833Z 2023-07-07T19:59:25.3856124Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3856220Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3856225Z 2023-07-07T19:59:25.3856477Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3856578Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3856584Z 2023-07-07T19:59:25.3856837Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3856920Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3856925Z 2023-07-07T19:59:25.3857216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3857408Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3857414Z 2023-07-07T19:59:25.3857723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3857858Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3857863Z 2023-07-07T19:59:25.3858205Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3858330Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3858335Z 2023-07-07T19:59:25.3858607Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3858753Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3858758Z 2023-07-07T19:59:25.3859066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3859224Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3859229Z 2023-07-07T19:59:25.3859509Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3859631Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3859639Z 2023-07-07T19:59:25.3859895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3859980Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3859985Z 2023-07-07T19:59:25.3860286Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3860417Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3860423Z 2023-07-07T19:59:25.3860735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3860870Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3860876Z 2023-07-07T19:59:25.3861168Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3861271Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3861276Z 2023-07-07T19:59:25.3861520Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3861609Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3861614Z 2023-07-07T19:59:25.3861867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3861950Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3861956Z 2023-07-07T19:59:25.3862265Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3862398Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3862403Z 2023-07-07T19:59:25.3862710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3862845Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3862854Z 2023-07-07T19:59:25.3863145Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3863269Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3863275Z 2023-07-07T19:59:25.3863547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3863679Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3863684Z 2023-07-07T19:59:25.3864049Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3864207Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3864212Z 2023-07-07T19:59:25.3864494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3864682Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3864688Z 2023-07-07T19:59:25.3864942Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3865025Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3865030Z 2023-07-07T19:59:25.3865333Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3865468Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3865477Z 2023-07-07T19:59:25.3865787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3865911Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3865929Z 2023-07-07T19:59:25.3866208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3866313Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3866318Z 2023-07-07T19:59:25.3866567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3866670Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3866676Z 2023-07-07T19:59:25.3866932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3867018Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3867023Z 2023-07-07T19:59:25.3867333Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3867465Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3867470Z 2023-07-07T19:59:25.3867779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3867906Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3867924Z 2023-07-07T19:59:25.3868201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3868326Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3868331Z 2023-07-07T19:59:25.3868606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3868756Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3868763Z 2023-07-07T19:59:25.3869065Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3869224Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3869230Z 2023-07-07T19:59:25.3869518Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3869654Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3869659Z 2023-07-07T19:59:25.3869916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3869986Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3870004Z 2023-07-07T19:59:25.3870368Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3870503Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3870509Z 2023-07-07T19:59:25.3870816Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3870951Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3871013Z 2023-07-07T19:59:25.3871310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3871410Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3871415Z 2023-07-07T19:59:25.3871661Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3871763Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3871769Z 2023-07-07T19:59:25.3872028Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3872100Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3872121Z 2023-07-07T19:59:25.3872415Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3872547Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3872556Z 2023-07-07T19:59:25.3872865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3873004Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3873009Z 2023-07-07T19:59:25.3873303Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3873430Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3873435Z 2023-07-07T19:59:25.3873714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3873861Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3873867Z 2023-07-07T19:59:25.3874172Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3874331Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3874340Z 2023-07-07T19:59:25.3874681Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3874819Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3874824Z 2023-07-07T19:59:25.3875085Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3875171Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3875176Z 2023-07-07T19:59:25.3875488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3875622Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3875627Z 2023-07-07T19:59:25.3875940Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3876083Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3876088Z 2023-07-07T19:59:25.3876382Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3876481Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3876486Z 2023-07-07T19:59:25.3876719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3876823Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3876828Z 2023-07-07T19:59:25.3877159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3877246Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3877251Z 2023-07-07T19:59:25.3877556Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3877786Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3877791Z 2023-07-07T19:59:25.3878102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3878237Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3878242Z 2023-07-07T19:59:25.3878535Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3878661Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3878671Z 2023-07-07T19:59:25.3878932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3879076Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3879082Z 2023-07-07T19:59:25.3879387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3879547Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3879553Z 2023-07-07T19:59:25.3879838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3879972Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3879977Z 2023-07-07T19:59:25.3880231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3880324Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3880329Z 2023-07-07T19:59:25.3880636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3880771Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3880776Z 2023-07-07T19:59:25.3881086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3881213Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3881218Z 2023-07-07T19:59:25.3881512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3881611Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3881617Z 2023-07-07T19:59:25.3881865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3881971Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3881977Z 2023-07-07T19:59:25.3882233Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3882317Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3882322Z 2023-07-07T19:59:25.3882626Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3882763Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3882768Z 2023-07-07T19:59:25.3883077Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3883200Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3883206Z 2023-07-07T19:59:25.3883496Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3883683Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3883689Z 2023-07-07T19:59:25.3883966Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3884113Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3884176Z 2023-07-07T19:59:25.3884635Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3884801Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3884806Z 2023-07-07T19:59:25.3885096Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3885231Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3885236Z 2023-07-07T19:59:25.3885498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3885569Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3885574Z 2023-07-07T19:59:25.3885880Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3886013Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3886022Z 2023-07-07T19:59:25.3886332Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3886469Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3886474Z 2023-07-07T19:59:25.3886768Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3886867Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3886872Z 2023-07-07T19:59:25.3887124Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3887227Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3887233Z 2023-07-07T19:59:25.3887489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3887560Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3887569Z 2023-07-07T19:59:25.3887874Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3888008Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3888013Z 2023-07-07T19:59:25.3888321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3888457Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3888462Z 2023-07-07T19:59:25.3888758Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3888883Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3888888Z 2023-07-07T19:59:25.3889162Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3889304Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3889313Z 2023-07-07T19:59:25.3889574Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T19:59:25.3889687Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.3889706Z 2023-07-07T19:59:25.3889958Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T19:59:25.3890079Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.3890084Z 2023-07-07T19:59:25.3890510Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 60, in increase_prec 2023-07-07T19:59:25.3890612Z return x.to(computation_dtype) 2023-07-07T19:59:25.3890617Z 2023-07-07T19:59:25.3890871Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3890957Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3891026Z 2023-07-07T19:59:25.3891334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3891470Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3891475Z 2023-07-07T19:59:25.3891784Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3891905Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3891924Z 2023-07-07T19:59:25.3892206Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 256, in proxy_call 2023-07-07T19:59:25.3892364Z if not pytree.tree_all_only(torch.Tensor, can_handle_tensor, (args, kwargs)): 2023-07-07T19:59:25.3892370Z 2023-07-07T19:59:25.3892638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 416, in tree_all_only 2023-07-07T19:59:25.3892740Z flat_args, _ = tree_flatten(pytree) 2023-07-07T19:59:25.3892746Z 2023-07-07T19:59:25.3893015Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 274, in tree_flatten 2023-07-07T19:59:25.3893098Z if _is_leaf(pytree): 2023-07-07T19:59:25.3893103Z 2023-07-07T19:59:25.3893362Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 233, in _is_leaf 2023-07-07T19:59:25.3893490Z return _get_node_type(pytree) not in SUPPORTED_NODES 2023-07-07T19:59:25.3893496Z 2023-07-07T19:59:25.3893621Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.3893626Z 2023-07-07T19:59:25.3893859Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.3893937Z Original traceback: 2023-07-07T19:59:25.3894066Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.3894181Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.3894186Z 2023-07-07T19:59:25.3894190Z 2023-07-07T19:59:25.3894250Z ``` 2023-07-07T19:59:25.3894325Z XFAIL [0.0745s] [ 82%] 2023-07-07T19:59:25.3894837Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool2d_cpu_int32 [2023-07-07 19:58:11,479] torch.onnx: [ERROR] Running Decompose pass. Raised from: 2023-07-07T19:59:25.3894962Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.3894967Z 2023-07-07T19:59:25.3895209Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.3895275Z Original traceback: 2023-07-07T19:59:25.3895407Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.3895518Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.3895527Z 2023-07-07T19:59:25.3895744Z [2023-07-07 19:58:11,479] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T19:59:25.3895965Z - self: 2023-07-07T19:59:25.3896074Z - args: 2023-07-07T19:59:25.3896149Z ### Exception log 2023-07-07T19:59:25.3896208Z ``` 2023-07-07T19:59:25.3896291Z Traceback (most recent call last): 2023-07-07T19:59:25.3896296Z 2023-07-07T19:59:25.3896614Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T19:59:25.3896762Z return_values = fn(*args, **kwargs) 2023-07-07T19:59:25.3896768Z 2023-07-07T19:59:25.3897040Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T19:59:25.3897132Z module = self._run(*args, **kwargs) 2023-07-07T19:59:25.3897137Z 2023-07-07T19:59:25.3897343Z File "<@beartype(torch.onnx._internal.fx.passes.decomp.Decompose._run) at 0x7fa2dc38db80>", line 10, in _run 2023-07-07T19:59:25.3897400Z 2023-07-07T19:59:25.3897686Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/decomp.py", line 52, in _run 2023-07-07T19:59:25.3897799Z decomposed_module = proxy_tensor.make_fx( 2023-07-07T19:59:25.3897805Z 2023-07-07T19:59:25.3898095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T19:59:25.3898287Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T19:59:25.3898297Z 2023-07-07T19:59:25.3898530Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T19:59:25.3898665Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T19:59:25.3898670Z 2023-07-07T19:59:25.3898929Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.3899016Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3899021Z 2023-07-07T19:59:25.3899292Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.3899377Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3899382Z 2023-07-07T19:59:25.3899680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T19:59:25.3899790Z graph = tracer.trace(root, concrete_args) 2023-07-07T19:59:25.3899795Z 2023-07-07T19:59:25.3900057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.3900141Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3900146Z 2023-07-07T19:59:25.3900401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.3900483Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3900493Z 2023-07-07T19:59:25.3900752Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T19:59:25.3900844Z (self.create_arg(fn(*args)),), 2023-07-07T19:59:25.3900850Z 2023-07-07T19:59:25.3901136Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T19:59:25.3901211Z out = f(*tensors) 2023-07-07T19:59:25.3901217Z 2023-07-07T19:59:25.3901307Z File "", line 1, in 2023-07-07T19:59:25.3901312Z 2023-07-07T19:59:25.3901600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/_utils.py", line 30, in wrapped 2023-07-07T19:59:25.3901733Z return torch.fx.Interpreter(graph_module).run(*args) 2023-07-07T19:59:25.3901739Z 2023-07-07T19:59:25.3901982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 138, in run 2023-07-07T19:59:25.3902079Z self.env[node] = self.run_node(node) 2023-07-07T19:59:25.3902088Z 2023-07-07T19:59:25.3902354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 195, in run_node 2023-07-07T19:59:25.3902472Z return getattr(self, n.op)(n.target, args, kwargs) 2023-07-07T19:59:25.3902478Z 2023-07-07T19:59:25.3902749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 267, in call_function 2023-07-07T19:59:25.3902838Z return target(*args, **kwargs) 2023-07-07T19:59:25.3902843Z 2023-07-07T19:59:25.3903197Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3903334Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3903339Z 2023-07-07T19:59:25.3903597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3903679Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3903744Z 2023-07-07T19:59:25.3904037Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3904172Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3904177Z 2023-07-07T19:59:25.3904484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3904618Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3904623Z 2023-07-07T19:59:25.3904916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3905042Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3905047Z 2023-07-07T19:59:25.3905322Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3905472Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3905477Z 2023-07-07T19:59:25.3905782Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3905941Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3905948Z 2023-07-07T19:59:25.3906231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3906352Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3906361Z 2023-07-07T19:59:25.3906618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3906702Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3912237Z 2023-07-07T19:59:25.3912808Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3913018Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3913027Z 2023-07-07T19:59:25.3913505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3913713Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3913721Z 2023-07-07T19:59:25.3914173Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3914323Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3914331Z 2023-07-07T19:59:25.3914788Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3914942Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3915005Z 2023-07-07T19:59:25.3915383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3915514Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3915521Z 2023-07-07T19:59:25.3915997Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3916198Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3916206Z 2023-07-07T19:59:25.3916688Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3917007Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3917016Z 2023-07-07T19:59:25.3917469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3917659Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3917671Z 2023-07-07T19:59:25.3918103Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3918361Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3918369Z 2023-07-07T19:59:25.3918820Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3919057Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3919064Z 2023-07-07T19:59:25.3919494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3919703Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3919710Z 2023-07-07T19:59:25.3920111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3920243Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3920251Z 2023-07-07T19:59:25.3920727Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3920928Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3920935Z 2023-07-07T19:59:25.3921402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3921606Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3921614Z 2023-07-07T19:59:25.3922068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3922200Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3922208Z 2023-07-07T19:59:25.3922586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3922786Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3922794Z 2023-07-07T19:59:25.3923190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3923316Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3923323Z 2023-07-07T19:59:25.3923788Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3923986Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3923994Z 2023-07-07T19:59:25.3924589Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3924796Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3924804Z 2023-07-07T19:59:25.3925261Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3925436Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3925447Z 2023-07-07T19:59:25.3925872Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3926085Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3926094Z 2023-07-07T19:59:25.3926557Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3926792Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3926799Z 2023-07-07T19:59:25.3927343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3927544Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3927552Z 2023-07-07T19:59:25.3927939Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3928107Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3928115Z 2023-07-07T19:59:25.3928594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3928784Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3928791Z 2023-07-07T19:59:25.3929266Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3929472Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3929480Z 2023-07-07T19:59:25.3929944Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3930091Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3930099Z 2023-07-07T19:59:25.3930484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3930638Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3930647Z 2023-07-07T19:59:25.3931035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3931159Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3931166Z 2023-07-07T19:59:25.3931630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3931817Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3931825Z 2023-07-07T19:59:25.3932308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3932509Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3932517Z 2023-07-07T19:59:25.3933017Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3933208Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3933216Z 2023-07-07T19:59:25.3933638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3933850Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3933858Z 2023-07-07T19:59:25.3934324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3934562Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3934570Z 2023-07-07T19:59:25.3935004Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3935189Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3935214Z 2023-07-07T19:59:25.3935586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3935716Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3935724Z 2023-07-07T19:59:25.3936196Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3936394Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3936402Z 2023-07-07T19:59:25.3936873Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3937136Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3937145Z 2023-07-07T19:59:25.3937594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3937743Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3937751Z 2023-07-07T19:59:25.3938127Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3938298Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3938319Z 2023-07-07T19:59:25.3938703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3938829Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3938836Z 2023-07-07T19:59:25.3939300Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3939501Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3939508Z 2023-07-07T19:59:25.3939983Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3940185Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3940196Z 2023-07-07T19:59:25.3940647Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3940837Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3940845Z 2023-07-07T19:59:25.3941266Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3941466Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3941487Z 2023-07-07T19:59:25.3941934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3942168Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3942176Z 2023-07-07T19:59:25.3942608Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3942847Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3942858Z 2023-07-07T19:59:25.3943251Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3943377Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3943384Z 2023-07-07T19:59:25.3943850Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3944050Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3944057Z 2023-07-07T19:59:25.3944541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3944744Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3944752Z 2023-07-07T19:59:25.3945182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3945327Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3945338Z 2023-07-07T19:59:25.3945715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3945862Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3945870Z 2023-07-07T19:59:25.3946258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3946380Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3946388Z 2023-07-07T19:59:25.3946927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3947126Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3947134Z 2023-07-07T19:59:25.3947611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3947814Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3947855Z 2023-07-07T19:59:25.3948294Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3948485Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3948493Z 2023-07-07T19:59:25.3948909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3949125Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3949133Z 2023-07-07T19:59:25.3949598Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3949830Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3949838Z 2023-07-07T19:59:25.3950273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3950475Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3950484Z 2023-07-07T19:59:25.3950872Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3950997Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3951004Z 2023-07-07T19:59:25.3951458Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3951654Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3951662Z 2023-07-07T19:59:25.3952136Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3952335Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3952379Z 2023-07-07T19:59:25.3952824Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3952973Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3952981Z 2023-07-07T19:59:25.3953357Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3953506Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3953513Z 2023-07-07T19:59:25.3953897Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3954022Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3954029Z 2023-07-07T19:59:25.3954562Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3954764Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3954772Z 2023-07-07T19:59:25.3955252Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3955456Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3955464Z 2023-07-07T19:59:25.3955911Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3956099Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3956107Z 2023-07-07T19:59:25.3956524Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3956815Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3956824Z 2023-07-07T19:59:25.3957291Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3957528Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3957539Z 2023-07-07T19:59:25.3957970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3958193Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3958200Z 2023-07-07T19:59:25.3958587Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3958716Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3958723Z 2023-07-07T19:59:25.3959187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3959390Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3959399Z 2023-07-07T19:59:25.3959877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3960085Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3960095Z 2023-07-07T19:59:25.3960542Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3960687Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3960695Z 2023-07-07T19:59:25.3961070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3961206Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3961213Z 2023-07-07T19:59:25.3961603Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3961733Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3961740Z 2023-07-07T19:59:25.3962209Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3962457Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3962465Z 2023-07-07T19:59:25.3962934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3963138Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3963146Z 2023-07-07T19:59:25.3963586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3963770Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3963779Z 2023-07-07T19:59:25.3964200Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3964514Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3964521Z 2023-07-07T19:59:25.3964995Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3965229Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3965239Z 2023-07-07T19:59:25.3965674Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3965874Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3965882Z 2023-07-07T19:59:25.3966271Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3966398Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3966406Z 2023-07-07T19:59:25.3966981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3967184Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3967192Z 2023-07-07T19:59:25.3967672Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3967906Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3967931Z 2023-07-07T19:59:25.3968366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3968509Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3968517Z 2023-07-07T19:59:25.3968897Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3969046Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3969054Z 2023-07-07T19:59:25.3969448Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3969574Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3969582Z 2023-07-07T19:59:25.3970046Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3970248Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3970258Z 2023-07-07T19:59:25.3970730Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3970920Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3970942Z 2023-07-07T19:59:25.3971373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3971556Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3971564Z 2023-07-07T19:59:25.3971987Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3972204Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3972265Z 2023-07-07T19:59:25.3972725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3972963Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3972971Z 2023-07-07T19:59:25.3973406Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3973606Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3973614Z 2023-07-07T19:59:25.3974002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3974114Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3974140Z 2023-07-07T19:59:25.3974596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3974795Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3974805Z 2023-07-07T19:59:25.3975280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3975487Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3975495Z 2023-07-07T19:59:25.3975947Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3976091Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3976099Z 2023-07-07T19:59:25.3976476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3976626Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3976700Z 2023-07-07T19:59:25.3977095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3977205Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3977229Z 2023-07-07T19:59:25.3977685Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3977919Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3977927Z 2023-07-07T19:59:25.3978395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3978597Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3978604Z 2023-07-07T19:59:25.3979051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3979241Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3979249Z 2023-07-07T19:59:25.3979665Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3979880Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3979891Z 2023-07-07T19:59:25.3980355Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3980588Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3980596Z 2023-07-07T19:59:25.3981014Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3981213Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3981221Z 2023-07-07T19:59:25.3981611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3981734Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3981742Z 2023-07-07T19:59:25.3982206Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3982451Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3982461Z 2023-07-07T19:59:25.3982933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3983136Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3983144Z 2023-07-07T19:59:25.3983593Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3983737Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3983745Z 2023-07-07T19:59:25.3984112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3984261Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3984269Z 2023-07-07T19:59:25.3984658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3984787Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3984794Z 2023-07-07T19:59:25.3985263Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3985459Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3985467Z 2023-07-07T19:59:25.3985938Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3986141Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3986149Z 2023-07-07T19:59:25.3986667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3986856Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3986864Z 2023-07-07T19:59:25.3987273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3987488Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3987532Z 2023-07-07T19:59:25.3987993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3988225Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3988233Z 2023-07-07T19:59:25.3988665Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3988864Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3988872Z 2023-07-07T19:59:25.3989268Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3989392Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3989400Z 2023-07-07T19:59:25.3989863Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3990069Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3990077Z 2023-07-07T19:59:25.3990556Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3990744Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3990752Z 2023-07-07T19:59:25.3991195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3991337Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3991344Z 2023-07-07T19:59:25.3991729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3991878Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3991886Z 2023-07-07T19:59:25.3992310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3992438Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3992446Z 2023-07-07T19:59:25.3992921Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3993118Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3993125Z 2023-07-07T19:59:25.3993596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3993785Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3993793Z 2023-07-07T19:59:25.3994244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.3994429Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.3994504Z 2023-07-07T19:59:25.3994932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.3995149Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.3995157Z 2023-07-07T19:59:25.3995620Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.3995856Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.3995863Z 2023-07-07T19:59:25.3996292Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.3996568Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.3996577Z 2023-07-07T19:59:25.3996968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.3997081Z return fn(*args, **kwargs) 2023-07-07T19:59:25.3997091Z 2023-07-07T19:59:25.3997557Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.3997793Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.3997801Z 2023-07-07T19:59:25.3998277Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.3998476Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.3998484Z 2023-07-07T19:59:25.3998933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.3999078Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.3999086Z 2023-07-07T19:59:25.3999462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.3999613Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.3999622Z 2023-07-07T19:59:25.4000007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4000122Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4000129Z 2023-07-07T19:59:25.4000598Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4000794Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4000802Z 2023-07-07T19:59:25.4001276Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4001485Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4001493Z 2023-07-07T19:59:25.4001940Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4002170Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4002178Z 2023-07-07T19:59:25.4002600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4002816Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4002824Z 2023-07-07T19:59:25.4003288Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4003507Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4003529Z 2023-07-07T19:59:25.4003955Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4004155Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4004163Z 2023-07-07T19:59:25.4004657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4004790Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4004801Z 2023-07-07T19:59:25.4005281Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4005480Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4005487Z 2023-07-07T19:59:25.4005964Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4006168Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4006176Z 2023-07-07T19:59:25.4006739Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4006873Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4006896Z 2023-07-07T19:59:25.4007258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4007410Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4007460Z 2023-07-07T19:59:25.4007847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4007972Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4007979Z 2023-07-07T19:59:25.4008447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4008646Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4008653Z 2023-07-07T19:59:25.4009129Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4009330Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4009338Z 2023-07-07T19:59:25.4009783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4009956Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4009980Z 2023-07-07T19:59:25.4010384Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4010597Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4010605Z 2023-07-07T19:59:25.4011067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4011300Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4011308Z 2023-07-07T19:59:25.4011743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4011943Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4012006Z 2023-07-07T19:59:25.4012396Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4012522Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4012529Z 2023-07-07T19:59:25.4012994Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4013190Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4013197Z 2023-07-07T19:59:25.4013659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4013869Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4013877Z 2023-07-07T19:59:25.4014323Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4014466Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4014476Z 2023-07-07T19:59:25.4014855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4015007Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4015015Z 2023-07-07T19:59:25.4015406Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4015531Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4015538Z 2023-07-07T19:59:25.4016012Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4016211Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4016303Z 2023-07-07T19:59:25.4016764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4016970Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4016980Z 2023-07-07T19:59:25.4017421Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4017638Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4017646Z 2023-07-07T19:59:25.4018069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4018285Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4018293Z 2023-07-07T19:59:25.4018761Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4018997Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4019005Z 2023-07-07T19:59:25.4019440Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4019643Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4019651Z 2023-07-07T19:59:25.4020028Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4020153Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4020161Z 2023-07-07T19:59:25.4020628Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4020827Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4020835Z 2023-07-07T19:59:25.4021318Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4021522Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4021530Z 2023-07-07T19:59:25.4021976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4022160Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4022170Z 2023-07-07T19:59:25.4022547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4022695Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4022703Z 2023-07-07T19:59:25.4023076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4023199Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4023206Z 2023-07-07T19:59:25.4023672Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4023875Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4023883Z 2023-07-07T19:59:25.4024361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4024565Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4024576Z 2023-07-07T19:59:25.4025018Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4025205Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4025214Z 2023-07-07T19:59:25.4025632Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4025849Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4025857Z 2023-07-07T19:59:25.4026383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4026604Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4026612Z 2023-07-07T19:59:25.4027050Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4027253Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4027296Z 2023-07-07T19:59:25.4027686Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4027814Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4027822Z 2023-07-07T19:59:25.4028289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4028488Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4028496Z 2023-07-07T19:59:25.4028974Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4029177Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4029185Z 2023-07-07T19:59:25.4029630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4029763Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4029771Z 2023-07-07T19:59:25.4030147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4030296Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4030304Z 2023-07-07T19:59:25.4030696Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4030820Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4030828Z 2023-07-07T19:59:25.4031304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4031503Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4031510Z 2023-07-07T19:59:25.4031976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4032221Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4032230Z 2023-07-07T19:59:25.4032676Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4032851Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4032858Z 2023-07-07T19:59:25.4033277Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4033490Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4033504Z 2023-07-07T19:59:25.4033962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4034196Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4034208Z 2023-07-07T19:59:25.4034714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4034920Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4034928Z 2023-07-07T19:59:25.4035320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4035445Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4035452Z 2023-07-07T19:59:25.4035920Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4036178Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4036201Z 2023-07-07T19:59:25.4036666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4036872Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4036882Z 2023-07-07T19:59:25.4037330Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4037506Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4037513Z 2023-07-07T19:59:25.4037888Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4038039Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4038047Z 2023-07-07T19:59:25.4038435Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4038560Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4038572Z 2023-07-07T19:59:25.4039042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4039226Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4039249Z 2023-07-07T19:59:25.4039708Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4039912Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4039920Z 2023-07-07T19:59:25.4040364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4040550Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4040558Z 2023-07-07T19:59:25.4040977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4041199Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4041206Z 2023-07-07T19:59:25.4041669Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4041953Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4041963Z 2023-07-07T19:59:25.4042398Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4042598Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4042606Z 2023-07-07T19:59:25.4042978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4043104Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4043112Z 2023-07-07T19:59:25.4043587Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4043784Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4043792Z 2023-07-07T19:59:25.4044268Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4044576Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4044588Z 2023-07-07T19:59:25.4045043Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4045190Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4045198Z 2023-07-07T19:59:25.4045575Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4045726Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4045734Z 2023-07-07T19:59:25.4046213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4046341Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4046348Z 2023-07-07T19:59:25.4046817Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4047017Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4047065Z 2023-07-07T19:59:25.4047543Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4047746Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4047754Z 2023-07-07T19:59:25.4048199Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4048386Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4048394Z 2023-07-07T19:59:25.4048818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4049033Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4049041Z 2023-07-07T19:59:25.4049494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4049739Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4049746Z 2023-07-07T19:59:25.4050184Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4050385Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4050393Z 2023-07-07T19:59:25.4050781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4050905Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4050912Z 2023-07-07T19:59:25.4051389Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4051587Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4051594Z 2023-07-07T19:59:25.4052138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4052343Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4052351Z 2023-07-07T19:59:25.4052784Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4052929Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4052937Z 2023-07-07T19:59:25.4053310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4053459Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4053467Z 2023-07-07T19:59:25.4053864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4053987Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4053995Z 2023-07-07T19:59:25.4054465Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4054668Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4054676Z 2023-07-07T19:59:25.4055151Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4055355Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4055362Z 2023-07-07T19:59:25.4055794Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4055980Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4056052Z 2023-07-07T19:59:25.4056471Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4056685Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4056696Z 2023-07-07T19:59:25.4057160Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4057433Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4057441Z 2023-07-07T19:59:25.4057879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4058081Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4058089Z 2023-07-07T19:59:25.4058480Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4058609Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4058617Z 2023-07-07T19:59:25.4059087Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4059276Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4059284Z 2023-07-07T19:59:25.4059751Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4059955Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4059963Z 2023-07-07T19:59:25.4060407Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4060551Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4060559Z 2023-07-07T19:59:25.4060935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4061090Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4061098Z 2023-07-07T19:59:25.4061484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4061648Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4061655Z 2023-07-07T19:59:25.4062120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4062308Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4062316Z 2023-07-07T19:59:25.4062787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4062989Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4062997Z 2023-07-07T19:59:25.4063449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4063638Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4063645Z 2023-07-07T19:59:25.4064063Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4064278Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4064289Z 2023-07-07T19:59:25.4064750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4064982Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4064990Z 2023-07-07T19:59:25.4065419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4065605Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4065627Z 2023-07-07T19:59:25.4066072Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4066199Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4066207Z 2023-07-07T19:59:25.4066675Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4066877Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4066918Z 2023-07-07T19:59:25.4067397Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4067602Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4067610Z 2023-07-07T19:59:25.4068055Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4068202Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4068210Z 2023-07-07T19:59:25.4068623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4068760Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4068768Z 2023-07-07T19:59:25.4069157Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4069283Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4069293Z 2023-07-07T19:59:25.4069758Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4069957Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4069964Z 2023-07-07T19:59:25.4070435Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4070638Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4070646Z 2023-07-07T19:59:25.4071100Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4071288Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4071296Z 2023-07-07T19:59:25.4071754Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4071957Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4071978Z 2023-07-07T19:59:25.4072429Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4072663Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4072670Z 2023-07-07T19:59:25.4073104Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4073300Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4073313Z 2023-07-07T19:59:25.4073704Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4073828Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4073838Z 2023-07-07T19:59:25.4074310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4074574Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4074583Z 2023-07-07T19:59:25.4075060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4075248Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4075271Z 2023-07-07T19:59:25.4075701Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4075922Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4075931Z 2023-07-07T19:59:25.4076311Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4076460Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4076471Z 2023-07-07T19:59:25.4076859Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4077023Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4077030Z 2023-07-07T19:59:25.4077501Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4077702Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4077710Z 2023-07-07T19:59:25.4078180Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4078374Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4078396Z 2023-07-07T19:59:25.4078825Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4079012Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4079022Z 2023-07-07T19:59:25.4079444Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4079663Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4079671Z 2023-07-07T19:59:25.4080134Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4080369Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4080376Z 2023-07-07T19:59:25.4080818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4081019Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4081026Z 2023-07-07T19:59:25.4081419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4081613Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4081621Z 2023-07-07T19:59:25.4082079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4082284Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4082292Z 2023-07-07T19:59:25.4082768Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4082973Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4082980Z 2023-07-07T19:59:25.4083437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4083580Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4083587Z 2023-07-07T19:59:25.4083964Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4084119Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4084129Z 2023-07-07T19:59:25.4084622Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4084747Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4084755Z 2023-07-07T19:59:25.4085218Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4085417Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4085426Z 2023-07-07T19:59:25.4086024Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4086235Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4086243Z 2023-07-07T19:59:25.4086701Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4086890Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4086946Z 2023-07-07T19:59:25.4087371Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4087586Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4087594Z 2023-07-07T19:59:25.4088061Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4088299Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4088307Z 2023-07-07T19:59:25.4088729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4088931Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4088938Z 2023-07-07T19:59:25.4089335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4089464Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4089472Z 2023-07-07T19:59:25.4089937Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4090134Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4090142Z 2023-07-07T19:59:25.4090612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4090813Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4090821Z 2023-07-07T19:59:25.4091271Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4091419Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4091475Z 2023-07-07T19:59:25.4091847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4091984Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4091992Z 2023-07-07T19:59:25.4092382Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4092505Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4092512Z 2023-07-07T19:59:25.4092976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4093172Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4093179Z 2023-07-07T19:59:25.4093656Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4093860Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4093870Z 2023-07-07T19:59:25.4094321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4094511Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4094519Z 2023-07-07T19:59:25.4094930Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4095130Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4095138Z 2023-07-07T19:59:25.4095602Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4095902Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4095911Z 2023-07-07T19:59:25.4096344Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4096543Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4096553Z 2023-07-07T19:59:25.4096940Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4097097Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4097106Z 2023-07-07T19:59:25.4097570Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4097769Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4097776Z 2023-07-07T19:59:25.4098250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4098444Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4098452Z 2023-07-07T19:59:25.4098906Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4099052Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4099060Z 2023-07-07T19:59:25.4099436Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4099589Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4099597Z 2023-07-07T19:59:25.4099983Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4100110Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4100117Z 2023-07-07T19:59:25.4100580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4100783Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4100791Z 2023-07-07T19:59:25.4101264Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4101491Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4101499Z 2023-07-07T19:59:25.4101947Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4102135Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4102143Z 2023-07-07T19:59:25.4102569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4102782Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4102789Z 2023-07-07T19:59:25.4103259Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4103493Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4103501Z 2023-07-07T19:59:25.4103935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4104138Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4104148Z 2023-07-07T19:59:25.4104540Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4104652Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4104673Z 2023-07-07T19:59:25.4105126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4105325Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4105333Z 2023-07-07T19:59:25.4105865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4106070Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4106078Z 2023-07-07T19:59:25.4106525Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4106671Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4106715Z 2023-07-07T19:59:25.4107094Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4107247Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4107255Z 2023-07-07T19:59:25.4107647Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4107757Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4107779Z 2023-07-07T19:59:25.4108237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4108433Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4108441Z 2023-07-07T19:59:25.4108912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4109115Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4109126Z 2023-07-07T19:59:25.4109574Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4109761Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4109769Z 2023-07-07T19:59:25.4110191Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4110406Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4110414Z 2023-07-07T19:59:25.4110878Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4111112Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4111156Z 2023-07-07T19:59:25.4111570Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4111774Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4111782Z 2023-07-07T19:59:25.4112173Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4112299Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4112307Z 2023-07-07T19:59:25.4112778Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4112977Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4112990Z 2023-07-07T19:59:25.4113467Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4113670Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4113680Z 2023-07-07T19:59:25.4114129Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4114281Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4114288Z 2023-07-07T19:59:25.4114716Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4114870Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4114878Z 2023-07-07T19:59:25.4115265Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4115391Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4115398Z 2023-07-07T19:59:25.4115927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4116130Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4116141Z 2023-07-07T19:59:25.4116620Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4116859Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4116867Z 2023-07-07T19:59:25.4117311Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4117499Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4117507Z 2023-07-07T19:59:25.4117907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4118126Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4118134Z 2023-07-07T19:59:25.4118593Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4118829Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4118837Z 2023-07-07T19:59:25.4119259Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4119458Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4119505Z 2023-07-07T19:59:25.4119889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4120006Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4120014Z 2023-07-07T19:59:25.4120431Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4120573Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4120578Z 2023-07-07T19:59:25.4120877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4121085Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4121094Z 2023-07-07T19:59:25.4121387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4121485Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4121491Z 2023-07-07T19:59:25.4121737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4121840Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4121846Z 2023-07-07T19:59:25.4122102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4122192Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4122197Z 2023-07-07T19:59:25.4122503Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4122638Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4122643Z 2023-07-07T19:59:25.4122945Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4123081Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4123086Z 2023-07-07T19:59:25.4123378Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4123503Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4123509Z 2023-07-07T19:59:25.4123842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4123987Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4123993Z 2023-07-07T19:59:25.4124299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4124610Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4124688Z 2023-07-07T19:59:25.4124984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4125121Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4125126Z 2023-07-07T19:59:25.4125386Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4125458Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4125463Z 2023-07-07T19:59:25.4125776Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4125914Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4125919Z 2023-07-07T19:59:25.4126231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4126374Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4126379Z 2023-07-07T19:59:25.4126672Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4126772Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4126777Z 2023-07-07T19:59:25.4127028Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4127130Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4127136Z 2023-07-07T19:59:25.4127395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4127467Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4127472Z 2023-07-07T19:59:25.4127779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4127952Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4127961Z 2023-07-07T19:59:25.4128267Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4128401Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4128406Z 2023-07-07T19:59:25.4128695Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4128821Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4128826Z 2023-07-07T19:59:25.4129105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4129250Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4129257Z 2023-07-07T19:59:25.4129562Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4129707Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4129726Z 2023-07-07T19:59:25.4129996Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4130132Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4130137Z 2023-07-07T19:59:25.4130393Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4130477Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4130557Z 2023-07-07T19:59:25.4130864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4130997Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4131004Z 2023-07-07T19:59:25.4131313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4131479Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4131484Z 2023-07-07T19:59:25.4131773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4131858Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4131878Z 2023-07-07T19:59:25.4132114Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4132221Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4132227Z 2023-07-07T19:59:25.4132481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4132567Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4132574Z 2023-07-07T19:59:25.4132878Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4133014Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4133020Z 2023-07-07T19:59:25.4133328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4133463Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4133468Z 2023-07-07T19:59:25.4133758Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4133874Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4133892Z 2023-07-07T19:59:25.4134153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4134328Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4134333Z 2023-07-07T19:59:25.4134707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4134867Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4134873Z 2023-07-07T19:59:25.4135159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4135296Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4135302Z 2023-07-07T19:59:25.4135563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4135648Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4135653Z 2023-07-07T19:59:25.4135959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4136082Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4136103Z 2023-07-07T19:59:25.4136399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4136536Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4136541Z 2023-07-07T19:59:25.4136833Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4136930Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4136936Z 2023-07-07T19:59:25.4137249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4137355Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4137361Z 2023-07-07T19:59:25.4137617Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4137704Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4137709Z 2023-07-07T19:59:25.4138045Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4138164Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4138181Z 2023-07-07T19:59:25.4138475Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4138609Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4138614Z 2023-07-07T19:59:25.4138910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4139036Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4139041Z 2023-07-07T19:59:25.4139315Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4139459Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4139467Z 2023-07-07T19:59:25.4139766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4139923Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4139929Z 2023-07-07T19:59:25.4140214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4140348Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4140352Z 2023-07-07T19:59:25.4140600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4140685Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4140690Z 2023-07-07T19:59:25.4140992Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4141157Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4141162Z 2023-07-07T19:59:25.4141469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4141604Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4141609Z 2023-07-07T19:59:25.4141900Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4141996Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4142009Z 2023-07-07T19:59:25.4142348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4142452Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4142457Z 2023-07-07T19:59:25.4142701Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4142789Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4142794Z 2023-07-07T19:59:25.4143099Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4143231Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4143236Z 2023-07-07T19:59:25.4143544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4143679Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4143757Z 2023-07-07T19:59:25.4144055Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4144181Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4144189Z 2023-07-07T19:59:25.4144464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4144637Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4144643Z 2023-07-07T19:59:25.4144932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4145091Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4145099Z 2023-07-07T19:59:25.4145493Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4145706Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4145712Z 2023-07-07T19:59:25.4145970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4146057Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4146063Z 2023-07-07T19:59:25.4146365Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4146500Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4146505Z 2023-07-07T19:59:25.4146811Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4146945Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4146951Z 2023-07-07T19:59:25.4147244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4147328Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4147334Z 2023-07-07T19:59:25.4147582Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4147726Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4147731Z 2023-07-07T19:59:25.4147984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4148069Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4148074Z 2023-07-07T19:59:25.4148377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4148510Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4148516Z 2023-07-07T19:59:25.4148824Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4148963Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4148969Z 2023-07-07T19:59:25.4149257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4149371Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4149377Z 2023-07-07T19:59:25.4149656Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4149803Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4149809Z 2023-07-07T19:59:25.4150108Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4150264Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4150269Z 2023-07-07T19:59:25.4150614Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4150750Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4150756Z 2023-07-07T19:59:25.4151013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4151099Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4151134Z 2023-07-07T19:59:25.4151440Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4151561Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4151566Z 2023-07-07T19:59:25.4151875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4152008Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4152014Z 2023-07-07T19:59:25.4152306Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4152403Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4152408Z 2023-07-07T19:59:25.4152661Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4152764Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4152772Z 2023-07-07T19:59:25.4153025Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4153111Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4153116Z 2023-07-07T19:59:25.4153421Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4153541Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4153546Z 2023-07-07T19:59:25.4153863Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4154000Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4154006Z 2023-07-07T19:59:25.4154299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4154540Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4154546Z 2023-07-07T19:59:25.4154831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4154976Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4154981Z 2023-07-07T19:59:25.4155286Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4155444Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4155455Z 2023-07-07T19:59:25.4155741Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4155861Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4155884Z 2023-07-07T19:59:25.4156127Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4156214Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4156219Z 2023-07-07T19:59:25.4156523Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4156659Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4156665Z 2023-07-07T19:59:25.4156973Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4157171Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4157207Z 2023-07-07T19:59:25.4157502Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4157599Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4157607Z 2023-07-07T19:59:25.4157855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4157983Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4158002Z 2023-07-07T19:59:25.4158239Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4158323Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4158327Z 2023-07-07T19:59:25.4158630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4158760Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4158770Z 2023-07-07T19:59:25.4159076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4159210Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4159218Z 2023-07-07T19:59:25.4159507Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4159634Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4159640Z 2023-07-07T19:59:25.4159914Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4160045Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4160063Z 2023-07-07T19:59:25.4160353Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4160512Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4160518Z 2023-07-07T19:59:25.4160800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4160969Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4160977Z 2023-07-07T19:59:25.4161231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4161316Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4161321Z 2023-07-07T19:59:25.4161624Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4161756Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4161762Z 2023-07-07T19:59:25.4162071Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4162205Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4162211Z 2023-07-07T19:59:25.4162489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4162588Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4162596Z 2023-07-07T19:59:25.4162842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4162942Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4162947Z 2023-07-07T19:59:25.4163201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4163284Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4163289Z 2023-07-07T19:59:25.4163594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4163783Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4163789Z 2023-07-07T19:59:25.4164097Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4164234Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4164268Z 2023-07-07T19:59:25.4164754Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4164886Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4164892Z 2023-07-07T19:59:25.4165172Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4165316Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4165322Z 2023-07-07T19:59:25.4165630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4165790Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4165795Z 2023-07-07T19:59:25.4166095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4166301Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4166308Z 2023-07-07T19:59:25.4166629Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4166716Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4166722Z 2023-07-07T19:59:25.4167012Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4167147Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4167153Z 2023-07-07T19:59:25.4167462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4167595Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4167689Z 2023-07-07T19:59:25.4167982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4168083Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4168089Z 2023-07-07T19:59:25.4168339Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4168441Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4168446Z 2023-07-07T19:59:25.4168703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4168786Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4168791Z 2023-07-07T19:59:25.4169086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4169219Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4169225Z 2023-07-07T19:59:25.4169541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4169682Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4169687Z 2023-07-07T19:59:25.4169978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4170105Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4170110Z 2023-07-07T19:59:25.4170388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4170533Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4170610Z 2023-07-07T19:59:25.4170912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4171069Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4171077Z 2023-07-07T19:59:25.4171359Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4171520Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4171526Z 2023-07-07T19:59:25.4171783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4171868Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4171874Z 2023-07-07T19:59:25.4172179Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4172317Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4172322Z 2023-07-07T19:59:25.4172633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4172773Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4172779Z 2023-07-07T19:59:25.4173071Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4173171Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4173176Z 2023-07-07T19:59:25.4173423Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4173512Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4173517Z 2023-07-07T19:59:25.4173776Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4173860Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4173869Z 2023-07-07T19:59:25.4174171Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4174304Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4174354Z 2023-07-07T19:59:25.4174660Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4181773Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4181792Z 2023-07-07T19:59:25.4182181Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4182313Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4182320Z 2023-07-07T19:59:25.4182602Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4182759Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4182765Z 2023-07-07T19:59:25.4183076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4183224Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4183233Z 2023-07-07T19:59:25.4183518Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4183654Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4183660Z 2023-07-07T19:59:25.4183915Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4184001Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4184007Z 2023-07-07T19:59:25.4184449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4184586Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4184592Z 2023-07-07T19:59:25.4184905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4185047Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4185088Z 2023-07-07T19:59:25.4185382Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4185468Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4185474Z 2023-07-07T19:59:25.4185723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4185825Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4185831Z 2023-07-07T19:59:25.4186088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4186173Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4186178Z 2023-07-07T19:59:25.4186481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4186618Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4186625Z 2023-07-07T19:59:25.4186935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4187071Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4187076Z 2023-07-07T19:59:25.4187366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4187479Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4187484Z 2023-07-07T19:59:25.4187764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4187907Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4187912Z 2023-07-07T19:59:25.4188259Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4188418Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4188424Z 2023-07-07T19:59:25.4188704Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4188839Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4188845Z 2023-07-07T19:59:25.4189101Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4189186Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4189191Z 2023-07-07T19:59:25.4189501Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4189622Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4189642Z 2023-07-07T19:59:25.4189938Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4190075Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4190081Z 2023-07-07T19:59:25.4190374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4190470Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4190476Z 2023-07-07T19:59:25.4190723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4190826Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4190832Z 2023-07-07T19:59:25.4191146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4191232Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4191237Z 2023-07-07T19:59:25.4191546Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4191696Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4191713Z 2023-07-07T19:59:25.4192009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4192144Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4192149Z 2023-07-07T19:59:25.4192444Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4192574Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4192580Z 2023-07-07T19:59:25.4192855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4193000Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4193007Z 2023-07-07T19:59:25.4193308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4193467Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4193473Z 2023-07-07T19:59:25.4193755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4193888Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4193894Z 2023-07-07T19:59:25.4194190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4194277Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4194283Z 2023-07-07T19:59:25.4194677Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4194850Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4194855Z 2023-07-07T19:59:25.4195170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4195304Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4195309Z 2023-07-07T19:59:25.4195600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4195697Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4195702Z 2023-07-07T19:59:25.4195950Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4196055Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4196062Z 2023-07-07T19:59:25.4196302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4196389Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4196394Z 2023-07-07T19:59:25.4196696Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4196830Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4196836Z 2023-07-07T19:59:25.4197146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4197283Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4197289Z 2023-07-07T19:59:25.4197649Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4197775Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4197781Z 2023-07-07T19:59:25.4198058Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4198204Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4198242Z 2023-07-07T19:59:25.4198532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4198690Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4198695Z 2023-07-07T19:59:25.4198977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4199111Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4199117Z 2023-07-07T19:59:25.4199376Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4199461Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4199466Z 2023-07-07T19:59:25.4199771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4199908Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4199915Z 2023-07-07T19:59:25.4200222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4200356Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4200362Z 2023-07-07T19:59:25.4200636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4200732Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4200738Z 2023-07-07T19:59:25.4200989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4201095Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4201100Z 2023-07-07T19:59:25.4201355Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4201470Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4201477Z 2023-07-07T19:59:25.4201783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4201915Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4201920Z 2023-07-07T19:59:25.4202230Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4202365Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4202371Z 2023-07-07T19:59:25.4202654Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4202779Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4202785Z 2023-07-07T19:59:25.4203059Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4203206Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4203212Z 2023-07-07T19:59:25.4203512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4203670Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4203676Z 2023-07-07T19:59:25.4203959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4204150Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4204156Z 2023-07-07T19:59:25.4204549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4204658Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4204666Z 2023-07-07T19:59:25.4204977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4205160Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4205165Z 2023-07-07T19:59:25.4205476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4205612Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4205618Z 2023-07-07T19:59:25.4205910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4206012Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4206018Z 2023-07-07T19:59:25.4206267Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4206368Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4206376Z 2023-07-07T19:59:25.4206630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4206717Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4206723Z 2023-07-07T19:59:25.4207028Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4207148Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4207154Z 2023-07-07T19:59:25.4207462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4207603Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4207608Z 2023-07-07T19:59:25.4207900Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4208025Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4208070Z 2023-07-07T19:59:25.4208346Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4208493Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4208499Z 2023-07-07T19:59:25.4208799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4208957Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4208962Z 2023-07-07T19:59:25.4209249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4209372Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4209389Z 2023-07-07T19:59:25.4209633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4209720Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4209725Z 2023-07-07T19:59:25.4210036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4210169Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4210174Z 2023-07-07T19:59:25.4210482Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4210618Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4210623Z 2023-07-07T19:59:25.4210979Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4211077Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4211083Z 2023-07-07T19:59:25.4211327Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4211418Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4211468Z 2023-07-07T19:59:25.4211713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4211796Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4211801Z 2023-07-07T19:59:25.4212105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4212236Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4212241Z 2023-07-07T19:59:25.4212551Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4212686Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4212691Z 2023-07-07T19:59:25.4212983Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4213110Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4213118Z 2023-07-07T19:59:25.4213392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4213523Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4213542Z 2023-07-07T19:59:25.4213834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4213990Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4213995Z 2023-07-07T19:59:25.4214282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4214419Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4214425Z 2023-07-07T19:59:25.4214715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4214800Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4214806Z 2023-07-07T19:59:25.4215106Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4215238Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4215243Z 2023-07-07T19:59:25.4215547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4215682Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4215692Z 2023-07-07T19:59:25.4215970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4216068Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4216076Z 2023-07-07T19:59:25.4216322Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4216425Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4216431Z 2023-07-07T19:59:25.4216685Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4216769Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4216774Z 2023-07-07T19:59:25.4217081Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4217213Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4217218Z 2023-07-07T19:59:25.4217586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4217723Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4217730Z 2023-07-07T19:59:25.4218007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4218164Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4218169Z 2023-07-07T19:59:25.4218445Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4218592Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4218597Z 2023-07-07T19:59:25.4218899Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4219058Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4219064Z 2023-07-07T19:59:25.4219345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4219480Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4219488Z 2023-07-07T19:59:25.4219744Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4219832Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4219837Z 2023-07-07T19:59:25.4220130Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4220262Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4220267Z 2023-07-07T19:59:25.4220576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4220715Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4220721Z 2023-07-07T19:59:25.4221011Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4221150Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4221155Z 2023-07-07T19:59:25.4221403Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4221504Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4221510Z 2023-07-07T19:59:25.4221765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4221849Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4221854Z 2023-07-07T19:59:25.4222145Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4222281Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4222287Z 2023-07-07T19:59:25.4222595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4222734Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4222740Z 2023-07-07T19:59:25.4223034Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4223157Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4223162Z 2023-07-07T19:59:25.4223434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4223578Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4223584Z 2023-07-07T19:59:25.4223947Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4224105Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4224111Z 2023-07-07T19:59:25.4224395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4224518Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4224553Z 2023-07-07T19:59:25.4224811Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4224895Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4224899Z 2023-07-07T19:59:25.4225205Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4225338Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4225343Z 2023-07-07T19:59:25.4225655Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4225791Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4225796Z 2023-07-07T19:59:25.4226086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4226186Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4226191Z 2023-07-07T19:59:25.4226439Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4226527Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4226532Z 2023-07-07T19:59:25.4226789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4226872Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4226878Z 2023-07-07T19:59:25.4227189Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4227322Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4227327Z 2023-07-07T19:59:25.4227631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4227797Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4227804Z 2023-07-07T19:59:25.4228096Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4228221Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4228226Z 2023-07-07T19:59:25.4228497Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4228629Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4228635Z 2023-07-07T19:59:25.4228944Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4229099Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4229107Z 2023-07-07T19:59:25.4229395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4229532Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4229537Z 2023-07-07T19:59:25.4229791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4229874Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4229880Z 2023-07-07T19:59:25.4230185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4230317Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4230376Z 2023-07-07T19:59:25.4230687Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4230811Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4230820Z 2023-07-07T19:59:25.4231109Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4231238Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4231243Z 2023-07-07T19:59:25.4231490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4231592Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4231598Z 2023-07-07T19:59:25.4231853Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4231936Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4231941Z 2023-07-07T19:59:25.4232250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4232382Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4232389Z 2023-07-07T19:59:25.4232695Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4232819Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4232824Z 2023-07-07T19:59:25.4233114Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4233236Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4233241Z 2023-07-07T19:59:25.4233513Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4233662Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4233667Z 2023-07-07T19:59:25.4233967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4234166Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4234174Z 2023-07-07T19:59:25.4234538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4234679Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4234684Z 2023-07-07T19:59:25.4234943Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4235014Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4235032Z 2023-07-07T19:59:25.4235324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4235461Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4235467Z 2023-07-07T19:59:25.4235777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4235917Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4235924Z 2023-07-07T19:59:25.4236216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4236315Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4236320Z 2023-07-07T19:59:25.4236569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4236672Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4236677Z 2023-07-07T19:59:25.4236934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4237074Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4237094Z 2023-07-07T19:59:25.4237388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4237524Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4237529Z 2023-07-07T19:59:25.4237897Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4238031Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4238037Z 2023-07-07T19:59:25.4238324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4238450Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4238455Z 2023-07-07T19:59:25.4238735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4238879Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4238885Z 2023-07-07T19:59:25.4239187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4239348Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4239355Z 2023-07-07T19:59:25.4239624Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4239760Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4239765Z 2023-07-07T19:59:25.4240021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4240105Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4240110Z 2023-07-07T19:59:25.4240421Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4240556Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4240562Z 2023-07-07T19:59:25.4240868Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4241034Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4241040Z 2023-07-07T19:59:25.4241330Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4241428Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4241433Z 2023-07-07T19:59:25.4241667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4241767Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4241773Z 2023-07-07T19:59:25.4242029Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4242114Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4242119Z 2023-07-07T19:59:25.4242423Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4242557Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4242564Z 2023-07-07T19:59:25.4242972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4243109Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4243114Z 2023-07-07T19:59:25.4243407Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4243532Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4243537Z 2023-07-07T19:59:25.4243874Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4244020Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4244028Z 2023-07-07T19:59:25.4244335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4244719Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4244725Z 2023-07-07T19:59:25.4245027Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4245161Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4245166Z 2023-07-07T19:59:25.4245422Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4245507Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4245517Z 2023-07-07T19:59:25.4245822Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4245956Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4245964Z 2023-07-07T19:59:25.4246260Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4246396Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4246402Z 2023-07-07T19:59:25.4246691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4246792Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4246798Z 2023-07-07T19:59:25.4247046Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4247150Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4247155Z 2023-07-07T19:59:25.4247411Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4247494Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4247559Z 2023-07-07T19:59:25.4247864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4248001Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4248006Z 2023-07-07T19:59:25.4248302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4248438Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4248443Z 2023-07-07T19:59:25.4248734Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4248862Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4248867Z 2023-07-07T19:59:25.4249142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4249291Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4249296Z 2023-07-07T19:59:25.4249599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4249758Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4249763Z 2023-07-07T19:59:25.4250088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4250266Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4250273Z 2023-07-07T19:59:25.4250676Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4250784Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4250790Z 2023-07-07T19:59:25.4251397Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4251626Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4251682Z 2023-07-07T19:59:25.4252003Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4252160Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4252166Z 2023-07-07T19:59:25.4252459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4252563Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4252568Z 2023-07-07T19:59:25.4252845Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4252972Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4252977Z 2023-07-07T19:59:25.4253247Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4253381Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4253386Z 2023-07-07T19:59:25.4253688Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4253820Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4253825Z 2023-07-07T19:59:25.4254136Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4254274Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4254280Z 2023-07-07T19:59:25.4254575Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4254702Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4254707Z 2023-07-07T19:59:25.4254982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4255165Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4255173Z 2023-07-07T19:59:25.4255549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4255706Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4255712Z 2023-07-07T19:59:25.4256001Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4256123Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4256128Z 2023-07-07T19:59:25.4256387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4256472Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4256477Z 2023-07-07T19:59:25.4256781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4256915Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4256920Z 2023-07-07T19:59:25.4257230Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4257366Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4257372Z 2023-07-07T19:59:25.4257664Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4257761Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4257823Z 2023-07-07T19:59:25.4258071Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4258160Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4258167Z 2023-07-07T19:59:25.4258420Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4258533Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4258538Z 2023-07-07T19:59:25.4258841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4258978Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4258983Z 2023-07-07T19:59:25.4259293Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4259429Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4259439Z 2023-07-07T19:59:25.4259731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4259856Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4259864Z 2023-07-07T19:59:25.4260140Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4260273Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4260278Z 2023-07-07T19:59:25.4260583Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4260739Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4260745Z 2023-07-07T19:59:25.4261033Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4261173Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4261178Z 2023-07-07T19:59:25.4261436Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4261553Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4261558Z 2023-07-07T19:59:25.4261866Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4262003Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4262008Z 2023-07-07T19:59:25.4262319Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4262443Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4262460Z 2023-07-07T19:59:25.4262744Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4262842Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4262847Z 2023-07-07T19:59:25.4263093Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4263199Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4263204Z 2023-07-07T19:59:25.4263462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4263547Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4263552Z 2023-07-07T19:59:25.4263854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4263987Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4263992Z 2023-07-07T19:59:25.4264299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4264478Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4264497Z 2023-07-07T19:59:25.4264775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4264902Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4264935Z 2023-07-07T19:59:25.4265210Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4265356Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4265362Z 2023-07-07T19:59:25.4265670Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4265827Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4265832Z 2023-07-07T19:59:25.4266121Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4266254Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4266260Z 2023-07-07T19:59:25.4266514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4266589Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4266608Z 2023-07-07T19:59:25.4266902Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4267038Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4267044Z 2023-07-07T19:59:25.4267353Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4267494Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4267499Z 2023-07-07T19:59:25.4267800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4267900Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4267905Z 2023-07-07T19:59:25.4268150Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4268303Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4268311Z 2023-07-07T19:59:25.4268569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4268643Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4268661Z 2023-07-07T19:59:25.4268951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4269087Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4269095Z 2023-07-07T19:59:25.4269408Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4269544Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4269550Z 2023-07-07T19:59:25.4269842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4269973Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4269978Z 2023-07-07T19:59:25.4270254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4270399Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4270405Z 2023-07-07T19:59:25.4270707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4270865Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4270927Z 2023-07-07T19:59:25.4271199Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4271333Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4271340Z 2023-07-07T19:59:25.4271599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4271718Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4271724Z 2023-07-07T19:59:25.4272040Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4272175Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4272179Z 2023-07-07T19:59:25.4272489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4272633Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4272640Z 2023-07-07T19:59:25.4272935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4273034Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4273041Z 2023-07-07T19:59:25.4273279Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4273385Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4273391Z 2023-07-07T19:59:25.4273650Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4273735Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4273740Z 2023-07-07T19:59:25.4274048Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4274182Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4274192Z 2023-07-07T19:59:25.4274585Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4274725Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4274771Z 2023-07-07T19:59:25.4275069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4275200Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4275206Z 2023-07-07T19:59:25.4275477Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4275630Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4275636Z 2023-07-07T19:59:25.4275942Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4276106Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4276112Z 2023-07-07T19:59:25.4276402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4276539Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4276547Z 2023-07-07T19:59:25.4276809Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4276893Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4276898Z 2023-07-07T19:59:25.4277204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4277339Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4277344Z 2023-07-07T19:59:25.4277889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4278083Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4278091Z 2023-07-07T19:59:25.4278547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4278695Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4278738Z 2023-07-07T19:59:25.4279124Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4279278Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4279285Z 2023-07-07T19:59:25.4279675Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4279803Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4279810Z 2023-07-07T19:59:25.4280275Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4280483Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4280490Z 2023-07-07T19:59:25.4280959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4281170Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4281181Z 2023-07-07T19:59:25.4281630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4281814Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4281822Z 2023-07-07T19:59:25.4282246Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4282462Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4282470Z 2023-07-07T19:59:25.4282942Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4283178Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4283186Z 2023-07-07T19:59:25.4283667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4283876Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4283883Z 2023-07-07T19:59:25.4284280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4284505Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4284512Z 2023-07-07T19:59:25.4284995Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4285197Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4285205Z 2023-07-07T19:59:25.4285691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4285897Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4285907Z 2023-07-07T19:59:25.4286367Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4286520Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4286527Z 2023-07-07T19:59:25.4286909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4287061Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4287069Z 2023-07-07T19:59:25.4287468Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4287583Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4287591Z 2023-07-07T19:59:25.4288170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4288371Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4288378Z 2023-07-07T19:59:25.4288864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4289116Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4289124Z 2023-07-07T19:59:25.4289576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4289762Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4289770Z 2023-07-07T19:59:25.4290188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4290403Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4290417Z 2023-07-07T19:59:25.4290879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4291104Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4291128Z 2023-07-07T19:59:25.4291550Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4291754Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4291761Z 2023-07-07T19:59:25.4292157Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4292282Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4292289Z 2023-07-07T19:59:25.4292765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4292969Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4292977Z 2023-07-07T19:59:25.4293455Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4293722Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4293731Z 2023-07-07T19:59:25.4294185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4294317Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4294337Z 2023-07-07T19:59:25.4294704Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4294851Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4294859Z 2023-07-07T19:59:25.4295248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4295378Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4295385Z 2023-07-07T19:59:25.4295859Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4296058Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4296068Z 2023-07-07T19:59:25.4296544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4296750Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4296758Z 2023-07-07T19:59:25.4297203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4297374Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4297394Z 2023-07-07T19:59:25.4297804Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4298097Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4298106Z 2023-07-07T19:59:25.4298578Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4298819Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4298860Z 2023-07-07T19:59:25.4299291Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4299492Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4299500Z 2023-07-07T19:59:25.4299857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4299970Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4299978Z 2023-07-07T19:59:25.4300466Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4300668Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4300675Z 2023-07-07T19:59:25.4301140Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4301350Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4301360Z 2023-07-07T19:59:25.4301811Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4301960Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4301967Z 2023-07-07T19:59:25.4302348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4302497Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4302505Z 2023-07-07T19:59:25.4302905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4303031Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4303038Z 2023-07-07T19:59:25.4303507Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4303772Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4303783Z 2023-07-07T19:59:25.4304244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4304447Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4304454Z 2023-07-07T19:59:25.4304908Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4305094Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4305102Z 2023-07-07T19:59:25.4305528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4305746Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4305753Z 2023-07-07T19:59:25.4306220Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4306460Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4306469Z 2023-07-07T19:59:25.4306905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4307104Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4307111Z 2023-07-07T19:59:25.4307492Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4307622Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4307630Z 2023-07-07T19:59:25.4308175Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4308380Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4308391Z 2023-07-07T19:59:25.4308866Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4309103Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4309110Z 2023-07-07T19:59:25.4309558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4309702Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4309709Z 2023-07-07T19:59:25.4310084Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4310235Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4310249Z 2023-07-07T19:59:25.4310637Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4310764Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4310771Z 2023-07-07T19:59:25.4311246Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4311447Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4311455Z 2023-07-07T19:59:25.4311928Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4312132Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4312140Z 2023-07-07T19:59:25.4312588Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4312782Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4312790Z 2023-07-07T19:59:25.4313212Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4313427Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4313484Z 2023-07-07T19:59:25.4313883Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T19:59:25.4314063Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.4314070Z 2023-07-07T19:59:25.4314545Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T19:59:25.4314731Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.4314739Z 2023-07-07T19:59:25.4315195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 60, in increase_prec 2023-07-07T19:59:25.4315345Z return x.to(computation_dtype) 2023-07-07T19:59:25.4315353Z 2023-07-07T19:59:25.4315744Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4315871Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4315881Z 2023-07-07T19:59:25.4316353Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4316561Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4316568Z 2023-07-07T19:59:25.4317032Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4317236Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4317243Z 2023-07-07T19:59:25.4317692Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 256, in proxy_call 2023-07-07T19:59:25.4318047Z if not pytree.tree_all_only(torch.Tensor, can_handle_tensor, (args, kwargs)): 2023-07-07T19:59:25.4318057Z 2023-07-07T19:59:25.4318476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 416, in tree_all_only 2023-07-07T19:59:25.4318624Z flat_args, _ = tree_flatten(pytree) 2023-07-07T19:59:25.4318632Z 2023-07-07T19:59:25.4319079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 274, in tree_flatten 2023-07-07T19:59:25.4319198Z if _is_leaf(pytree): 2023-07-07T19:59:25.4319206Z 2023-07-07T19:59:25.4319599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 233, in _is_leaf 2023-07-07T19:59:25.4319788Z return _get_node_type(pytree) not in SUPPORTED_NODES 2023-07-07T19:59:25.4319796Z 2023-07-07T19:59:25.4319964Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.4319985Z 2023-07-07T19:59:25.4320340Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.4320460Z Original traceback: 2023-07-07T19:59:25.4320651Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.4320819Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.4320826Z 2023-07-07T19:59:25.4320833Z 2023-07-07T19:59:25.4320929Z ``` 2023-07-07T19:59:25.4321039Z XFAIL [0.0846s] [ 83%] 2023-07-07T19:59:25.4321809Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool2d_cpu_int64 [2023-07-07 19:58:11,565] torch.onnx: [ERROR] Running Decompose pass. Raised from: 2023-07-07T19:59:25.4321999Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.4322007Z 2023-07-07T19:59:25.4322368Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.4322475Z Original traceback: 2023-07-07T19:59:25.4322664Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.4322828Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.4322835Z 2023-07-07T19:59:25.4323195Z [2023-07-07 19:58:11,565] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T19:59:25.4323525Z - self: 2023-07-07T19:59:25.4323695Z - args: 2023-07-07T19:59:25.4323807Z ### Exception log 2023-07-07T19:59:25.4323886Z ``` 2023-07-07T19:59:25.4324025Z Traceback (most recent call last): 2023-07-07T19:59:25.4324034Z 2023-07-07T19:59:25.4324612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T19:59:25.4324754Z return_values = fn(*args, **kwargs) 2023-07-07T19:59:25.4324762Z 2023-07-07T19:59:25.4325191Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T19:59:25.4325330Z module = self._run(*args, **kwargs) 2023-07-07T19:59:25.4325338Z 2023-07-07T19:59:25.4325643Z File "<@beartype(torch.onnx._internal.fx.passes.decomp.Decompose._run) at 0x7fa2dc38db80>", line 10, in _run 2023-07-07T19:59:25.4325654Z 2023-07-07T19:59:25.4326092Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/decomp.py", line 52, in _run 2023-07-07T19:59:25.4326265Z decomposed_module = proxy_tensor.make_fx( 2023-07-07T19:59:25.4326273Z 2023-07-07T19:59:25.4326725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T19:59:25.4327000Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T19:59:25.4327021Z 2023-07-07T19:59:25.4327387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T19:59:25.4327695Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T19:59:25.4327704Z 2023-07-07T19:59:25.4328107Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.4328235Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4328242Z 2023-07-07T19:59:25.4328651Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.4328820Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4328827Z 2023-07-07T19:59:25.4329284Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T19:59:25.4329449Z graph = tracer.trace(root, concrete_args) 2023-07-07T19:59:25.4329457Z 2023-07-07T19:59:25.4329857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.4329968Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4329981Z 2023-07-07T19:59:25.4330396Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.4330519Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4330530Z 2023-07-07T19:59:25.4330936Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T19:59:25.4331076Z (self.create_arg(fn(*args)),), 2023-07-07T19:59:25.4331084Z 2023-07-07T19:59:25.4331522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T19:59:25.4331637Z out = f(*tensors) 2023-07-07T19:59:25.4331644Z 2023-07-07T19:59:25.4331781Z File "", line 1, in 2023-07-07T19:59:25.4331788Z 2023-07-07T19:59:25.4332231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/_utils.py", line 30, in wrapped 2023-07-07T19:59:25.4332418Z return torch.fx.Interpreter(graph_module).run(*args) 2023-07-07T19:59:25.4332438Z 2023-07-07T19:59:25.4332821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 138, in run 2023-07-07T19:59:25.4332967Z self.env[node] = self.run_node(node) 2023-07-07T19:59:25.4333046Z 2023-07-07T19:59:25.4333455Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 195, in run_node 2023-07-07T19:59:25.4333631Z return getattr(self, n.op)(n.target, args, kwargs) 2023-07-07T19:59:25.4333639Z 2023-07-07T19:59:25.4334054Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 267, in call_function 2023-07-07T19:59:25.4334192Z return target(*args, **kwargs) 2023-07-07T19:59:25.4334200Z 2023-07-07T19:59:25.4334634Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4334834Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4334846Z 2023-07-07T19:59:25.4335237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4335347Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4335367Z 2023-07-07T19:59:25.4335836Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4336039Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4336048Z 2023-07-07T19:59:25.4336518Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4336720Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4336728Z 2023-07-07T19:59:25.4337170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4337423Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4337433Z 2023-07-07T19:59:25.4337857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4338073Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4338083Z 2023-07-07T19:59:25.4338550Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4338819Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4338827Z 2023-07-07T19:59:25.4339250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4339451Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4339458Z 2023-07-07T19:59:25.4339843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4339973Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4339981Z 2023-07-07T19:59:25.4340447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4340648Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4340656Z 2023-07-07T19:59:25.4341134Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4341336Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4341344Z 2023-07-07T19:59:25.4341790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4341938Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4341945Z 2023-07-07T19:59:25.4342308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4342459Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4342467Z 2023-07-07T19:59:25.4342855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4343019Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4343026Z 2023-07-07T19:59:25.4343495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4343697Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4343704Z 2023-07-07T19:59:25.4344176Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4344376Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4344383Z 2023-07-07T19:59:25.4344831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4345015Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4345024Z 2023-07-07T19:59:25.4345425Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4345644Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4345655Z 2023-07-07T19:59:25.4346118Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4346350Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4346358Z 2023-07-07T19:59:25.4346789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4346989Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4346997Z 2023-07-07T19:59:25.4347448Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4347572Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4347579Z 2023-07-07T19:59:25.4348050Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4348252Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4348304Z 2023-07-07T19:59:25.4348766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4348971Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4348979Z 2023-07-07T19:59:25.4349425Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4349569Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4349577Z 2023-07-07T19:59:25.4349960Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4350111Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4350118Z 2023-07-07T19:59:25.4350503Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4350628Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4350638Z 2023-07-07T19:59:25.4351112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4351311Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4351318Z 2023-07-07T19:59:25.4351778Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4351980Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4351987Z 2023-07-07T19:59:25.4352435Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4352618Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4352717Z 2023-07-07T19:59:25.4353137Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4353354Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4353362Z 2023-07-07T19:59:25.4353832Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4354065Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4354073Z 2023-07-07T19:59:25.4354573Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4354782Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4354790Z 2023-07-07T19:59:25.4355182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4355295Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4355306Z 2023-07-07T19:59:25.4355775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4355975Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4355983Z 2023-07-07T19:59:25.4356457Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4356656Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4356664Z 2023-07-07T19:59:25.4357114Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4357328Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4357337Z 2023-07-07T19:59:25.4357709Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4357860Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4357870Z 2023-07-07T19:59:25.4358262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4358405Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4358413Z 2023-07-07T19:59:25.4358885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4359083Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4359091Z 2023-07-07T19:59:25.4359564Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4359774Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4359782Z 2023-07-07T19:59:25.4360236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4360425Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4360433Z 2023-07-07T19:59:25.4360855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4361073Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4361081Z 2023-07-07T19:59:25.4367618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4367912Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4367922Z 2023-07-07T19:59:25.4368395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4368600Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4368609Z 2023-07-07T19:59:25.4368986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4369191Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4369203Z 2023-07-07T19:59:25.4369673Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4369874Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4369882Z 2023-07-07T19:59:25.4370399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4370606Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4370613Z 2023-07-07T19:59:25.4371062Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4371209Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4371217Z 2023-07-07T19:59:25.4371596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4371749Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4371759Z 2023-07-07T19:59:25.4372147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4372274Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4372282Z 2023-07-07T19:59:25.4372750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4372933Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4372955Z 2023-07-07T19:59:25.4373460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4373666Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4373673Z 2023-07-07T19:59:25.4374124Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4374312Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4374366Z 2023-07-07T19:59:25.4374791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4375006Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4375014Z 2023-07-07T19:59:25.4375474Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4375708Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4375716Z 2023-07-07T19:59:25.4376153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4376354Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4376364Z 2023-07-07T19:59:25.4376740Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4376871Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4376878Z 2023-07-07T19:59:25.4377348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4377546Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4377553Z 2023-07-07T19:59:25.4378085Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4378289Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4378300Z 2023-07-07T19:59:25.4378749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4378894Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4378934Z 2023-07-07T19:59:25.4379314Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4379465Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4379473Z 2023-07-07T19:59:25.4379845Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4379968Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4379976Z 2023-07-07T19:59:25.4380450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4380650Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4380657Z 2023-07-07T19:59:25.4381134Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4381340Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4381350Z 2023-07-07T19:59:25.4381798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4381988Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4381996Z 2023-07-07T19:59:25.4382422Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4382639Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4382647Z 2023-07-07T19:59:25.4383102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4383375Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4383384Z 2023-07-07T19:59:25.4383818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4384020Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4384028Z 2023-07-07T19:59:25.4384454Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4384579Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4384587Z 2023-07-07T19:59:25.4385058Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4385260Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4385268Z 2023-07-07T19:59:25.4385736Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4385942Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4385950Z 2023-07-07T19:59:25.4386395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4386528Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4386536Z 2023-07-07T19:59:25.4386917Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4387067Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4387075Z 2023-07-07T19:59:25.4387463Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4387645Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4387653Z 2023-07-07T19:59:25.4388118Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4388320Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4388328Z 2023-07-07T19:59:25.4388804Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4389039Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4389048Z 2023-07-07T19:59:25.4389497Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4389670Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4389678Z 2023-07-07T19:59:25.4390104Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4390322Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4390330Z 2023-07-07T19:59:25.4390797Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4391029Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4391037Z 2023-07-07T19:59:25.4391470Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4391668Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4391679Z 2023-07-07T19:59:25.4392070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4392195Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4392203Z 2023-07-07T19:59:25.4392679Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4392866Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4392874Z 2023-07-07T19:59:25.4393386Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4393589Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4393597Z 2023-07-07T19:59:25.4394047Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4394225Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4394233Z 2023-07-07T19:59:25.4394696Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4394847Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4394855Z 2023-07-07T19:59:25.4395248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4395374Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4395381Z 2023-07-07T19:59:25.4395847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4396032Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4396040Z 2023-07-07T19:59:25.4396510Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4396717Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4396727Z 2023-07-07T19:59:25.4397174Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4397361Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4397369Z 2023-07-07T19:59:25.4397838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4398055Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4398063Z 2023-07-07T19:59:25.4398531Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4398764Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4398804Z 2023-07-07T19:59:25.4399243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4399432Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4399454Z 2023-07-07T19:59:25.4399829Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4399955Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4399962Z 2023-07-07T19:59:25.4400432Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4400686Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4400696Z 2023-07-07T19:59:25.4401170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4401373Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4401383Z 2023-07-07T19:59:25.4401828Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4401977Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4401985Z 2023-07-07T19:59:25.4402360Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4402498Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4402522Z 2023-07-07T19:59:25.4402896Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4403020Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4403027Z 2023-07-07T19:59:25.4403547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4403749Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4403760Z 2023-07-07T19:59:25.4404234Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4404590Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4404600Z 2023-07-07T19:59:25.4405063Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4405253Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4405261Z 2023-07-07T19:59:25.4405681Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4405886Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4405908Z 2023-07-07T19:59:25.4406358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4406595Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4406603Z 2023-07-07T19:59:25.4407040Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4407242Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4407250Z 2023-07-07T19:59:25.4407639Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4407843Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4407852Z 2023-07-07T19:59:25.4408323Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4408522Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4408530Z 2023-07-07T19:59:25.4409008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4409256Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4409267Z 2023-07-07T19:59:25.4409702Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4409844Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4409852Z 2023-07-07T19:59:25.4410229Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4410378Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4410385Z 2023-07-07T19:59:25.4410775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4410898Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4410905Z 2023-07-07T19:59:25.4411372Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4411575Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4411583Z 2023-07-07T19:59:25.4412060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4412263Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4412271Z 2023-07-07T19:59:25.4412706Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4412893Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4412901Z 2023-07-07T19:59:25.4413367Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4413584Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4413592Z 2023-07-07T19:59:25.4414056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4414294Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4414341Z 2023-07-07T19:59:25.4414774Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4414974Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4414982Z 2023-07-07T19:59:25.4415377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4415503Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4415510Z 2023-07-07T19:59:25.4415966Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4416168Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4416176Z 2023-07-07T19:59:25.4416657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4416860Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4416868Z 2023-07-07T19:59:25.4417318Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4417462Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4417470Z 2023-07-07T19:59:25.4417881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4418035Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4418043Z 2023-07-07T19:59:25.4418436Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4418561Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4418568Z 2023-07-07T19:59:25.4419025Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4419263Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4419270Z 2023-07-07T19:59:25.4419743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4419946Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4419955Z 2023-07-07T19:59:25.4420404Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4420587Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4420598Z 2023-07-07T19:59:25.4421019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4421234Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4421245Z 2023-07-07T19:59:25.4421708Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4421944Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4421952Z 2023-07-07T19:59:25.4422380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4422590Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4422598Z 2023-07-07T19:59:25.4422990Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4423148Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4423157Z 2023-07-07T19:59:25.4423623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4423810Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4423820Z 2023-07-07T19:59:25.4424299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4424534Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4424542Z 2023-07-07T19:59:25.4424991Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4425138Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4425145Z 2023-07-07T19:59:25.4425520Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4425673Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4425681Z 2023-07-07T19:59:25.4426070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4426196Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4426206Z 2023-07-07T19:59:25.4426678Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4426867Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4426875Z 2023-07-07T19:59:25.4427342Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4427575Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4427584Z 2023-07-07T19:59:25.4428033Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4428222Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4428230Z 2023-07-07T19:59:25.4428648Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4428898Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4428909Z 2023-07-07T19:59:25.4429373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4429608Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4429616Z 2023-07-07T19:59:25.4430060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4430249Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4430256Z 2023-07-07T19:59:25.4430646Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4430771Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4430778Z 2023-07-07T19:59:25.4431249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4431449Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4431459Z 2023-07-07T19:59:25.4431935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4432138Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4432145Z 2023-07-07T19:59:25.4432601Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4432746Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4432753Z 2023-07-07T19:59:25.4433160Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4433299Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4433306Z 2023-07-07T19:59:25.4433694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4433820Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4433864Z 2023-07-07T19:59:25.4434331Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4434602Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4434609Z 2023-07-07T19:59:25.4435092Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4435297Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4435305Z 2023-07-07T19:59:25.4435759Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4435944Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4435952Z 2023-07-07T19:59:25.4436376Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4436581Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4436605Z 2023-07-07T19:59:25.4437050Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4437284Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4437291Z 2023-07-07T19:59:25.4437779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4437980Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4437991Z 2023-07-07T19:59:25.4438381Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4438505Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4438513Z 2023-07-07T19:59:25.4439021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4439224Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4439231Z 2023-07-07T19:59:25.4439703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4439893Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4439917Z 2023-07-07T19:59:25.4440350Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4440498Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4440506Z 2023-07-07T19:59:25.4440879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4441028Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4441038Z 2023-07-07T19:59:25.4441424Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4441551Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4441559Z 2023-07-07T19:59:25.4442026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4442226Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4442234Z 2023-07-07T19:59:25.4442713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4442937Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4442958Z 2023-07-07T19:59:25.4443386Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4443574Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4443585Z 2023-07-07T19:59:25.4444005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4444276Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4444284Z 2023-07-07T19:59:25.4444858Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4445098Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4445106Z 2023-07-07T19:59:25.4445544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4445748Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4445756Z 2023-07-07T19:59:25.4446146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4446277Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4446284Z 2023-07-07T19:59:25.4446739Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4446939Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4446947Z 2023-07-07T19:59:25.4447419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4447688Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4447697Z 2023-07-07T19:59:25.4448148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4448291Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4448299Z 2023-07-07T19:59:25.4448678Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4448888Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4448896Z 2023-07-07T19:59:25.4449289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4449414Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4449422Z 2023-07-07T19:59:25.4449875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4450078Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4450086Z 2023-07-07T19:59:25.4450569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4450773Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4450781Z 2023-07-07T19:59:25.4451229Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4451418Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4451428Z 2023-07-07T19:59:25.4451847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4452063Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4452071Z 2023-07-07T19:59:25.4452535Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4452771Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4452779Z 2023-07-07T19:59:25.4453242Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4453444Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4453452Z 2023-07-07T19:59:25.4453837Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4453967Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4454018Z 2023-07-07T19:59:25.4454493Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4454691Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4454698Z 2023-07-07T19:59:25.4455173Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4455376Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4455384Z 2023-07-07T19:59:25.4455834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4455980Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4455988Z 2023-07-07T19:59:25.4456365Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4456503Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4456511Z 2023-07-07T19:59:25.4456893Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4457016Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4457023Z 2023-07-07T19:59:25.4457549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4457751Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4457759Z 2023-07-07T19:59:25.4458230Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4458432Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4458440Z 2023-07-07T19:59:25.4458929Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4459118Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4459126Z 2023-07-07T19:59:25.4459545Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4459747Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4459755Z 2023-07-07T19:59:25.4460221Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4460457Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4460465Z 2023-07-07T19:59:25.4460894Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4461092Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4461102Z 2023-07-07T19:59:25.4461494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4461621Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4461629Z 2023-07-07T19:59:25.4462098Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4462299Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4462307Z 2023-07-07T19:59:25.4462778Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4463004Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4463013Z 2023-07-07T19:59:25.4463458Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4463604Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4463612Z 2023-07-07T19:59:25.4463983Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4464164Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4464172Z 2023-07-07T19:59:25.4464554Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4464678Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4464688Z 2023-07-07T19:59:25.4465148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4465351Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4465359Z 2023-07-07T19:59:25.4465834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4466027Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4466037Z 2023-07-07T19:59:25.4466485Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4466670Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4466678Z 2023-07-07T19:59:25.4467092Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4467341Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4467350Z 2023-07-07T19:59:25.4467815Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4468049Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4468057Z 2023-07-07T19:59:25.4468490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4468723Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4468733Z 2023-07-07T19:59:25.4469125Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4469234Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4469255Z 2023-07-07T19:59:25.4469715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4469915Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4469923Z 2023-07-07T19:59:25.4470395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4470593Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4470601Z 2023-07-07T19:59:25.4471042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4471189Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4471200Z 2023-07-07T19:59:25.4471575Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4471724Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4471731Z 2023-07-07T19:59:25.4472124Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4472233Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4472255Z 2023-07-07T19:59:25.4472763Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4472963Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4472970Z 2023-07-07T19:59:25.4473445Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4473649Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4473691Z 2023-07-07T19:59:25.4474140Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4474326Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4474333Z 2023-07-07T19:59:25.4474837Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4475053Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4475061Z 2023-07-07T19:59:25.4475531Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4475768Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4475776Z 2023-07-07T19:59:25.4476202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4476390Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4476399Z 2023-07-07T19:59:25.4476763Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4476882Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4476890Z 2023-07-07T19:59:25.4477392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4477588Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4477598Z 2023-07-07T19:59:25.4477972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4478110Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4478154Z 2023-07-07T19:59:25.4478449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4478551Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4478556Z 2023-07-07T19:59:25.4478788Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4478891Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4478896Z 2023-07-07T19:59:25.4479153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4479238Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4479243Z 2023-07-07T19:59:25.4479548Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4479682Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4479688Z 2023-07-07T19:59:25.4479995Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4480132Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4480138Z 2023-07-07T19:59:25.4480428Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4480555Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4480563Z 2023-07-07T19:59:25.4480823Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4481001Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4481007Z 2023-07-07T19:59:25.4481311Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4481468Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4481475Z 2023-07-07T19:59:25.4481758Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4481925Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4481930Z 2023-07-07T19:59:25.4482183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4482269Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4482274Z 2023-07-07T19:59:25.4482578Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4482712Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4482717Z 2023-07-07T19:59:25.4483014Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4483153Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4483159Z 2023-07-07T19:59:25.4483450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4483547Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4483552Z 2023-07-07T19:59:25.4483799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4483935Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4483941Z 2023-07-07T19:59:25.4484196Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4484282Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4484287Z 2023-07-07T19:59:25.4484748Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4484884Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4484957Z 2023-07-07T19:59:25.4485261Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4485399Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4485404Z 2023-07-07T19:59:25.4485693Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4485819Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4485825Z 2023-07-07T19:59:25.4486102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4486245Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4486251Z 2023-07-07T19:59:25.4486552Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4486713Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4486721Z 2023-07-07T19:59:25.4487004Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4487137Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4487142Z 2023-07-07T19:59:25.4487401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4487473Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4487478Z 2023-07-07T19:59:25.4487817Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4487951Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4487956Z 2023-07-07T19:59:25.4488263Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4488401Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4488444Z 2023-07-07T19:59:25.4488735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4488831Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4488836Z 2023-07-07T19:59:25.4489082Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4489183Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4489188Z 2023-07-07T19:59:25.4489442Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4489514Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4489519Z 2023-07-07T19:59:25.4489885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4490023Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4490030Z 2023-07-07T19:59:25.4490343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4490477Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4490482Z 2023-07-07T19:59:25.4490830Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4490955Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4490961Z 2023-07-07T19:59:25.4491239Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4491381Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4491386Z 2023-07-07T19:59:25.4491730Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4491879Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4491885Z 2023-07-07T19:59:25.4492171Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4492303Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4492310Z 2023-07-07T19:59:25.4492567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4492653Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4492658Z 2023-07-07T19:59:25.4492968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4493102Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4493110Z 2023-07-07T19:59:25.4493418Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4493556Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4493561Z 2023-07-07T19:59:25.4493855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4493942Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4493960Z 2023-07-07T19:59:25.4494196Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4494297Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4494337Z 2023-07-07T19:59:25.4494593Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4494677Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4494684Z 2023-07-07T19:59:25.4494994Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4495161Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4495166Z 2023-07-07T19:59:25.4495476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4495614Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4495619Z 2023-07-07T19:59:25.4495912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4496027Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4496046Z 2023-07-07T19:59:25.4496308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4496452Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4496459Z 2023-07-07T19:59:25.4496760Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4496920Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4496925Z 2023-07-07T19:59:25.4497208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4497384Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4497390Z 2023-07-07T19:59:25.4497666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4497781Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4497788Z 2023-07-07T19:59:25.4498212Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4498375Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4498395Z 2023-07-07T19:59:25.4498694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4498831Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4498837Z 2023-07-07T19:59:25.4499128Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4499225Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4499231Z 2023-07-07T19:59:25.4499478Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4499581Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4499587Z 2023-07-07T19:59:25.4499842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4499928Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4499934Z 2023-07-07T19:59:25.4500238Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4500360Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4500378Z 2023-07-07T19:59:25.4500677Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4500812Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4500818Z 2023-07-07T19:59:25.4501137Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4501266Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4501272Z 2023-07-07T19:59:25.4501550Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4501696Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4501732Z 2023-07-07T19:59:25.4502036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4502193Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4502199Z 2023-07-07T19:59:25.4502485Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4502619Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4502624Z 2023-07-07T19:59:25.4502867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4502952Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4502958Z 2023-07-07T19:59:25.4503263Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4503400Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4503405Z 2023-07-07T19:59:25.4503713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4503849Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4503854Z 2023-07-07T19:59:25.4504183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4504283Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4504289Z 2023-07-07T19:59:25.4504539Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4504641Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4504646Z 2023-07-07T19:59:25.4504918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4505005Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4505010Z 2023-07-07T19:59:25.4505313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4505446Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4505451Z 2023-07-07T19:59:25.4505762Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4505898Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4505904Z 2023-07-07T19:59:25.4506199Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4506327Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4506334Z 2023-07-07T19:59:25.4506610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4506755Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4506761Z 2023-07-07T19:59:25.4507051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4507213Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4507219Z 2023-07-07T19:59:25.4507502Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4507667Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4507674Z 2023-07-07T19:59:25.4507931Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4508017Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4508024Z 2023-07-07T19:59:25.4508327Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4508491Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4508496Z 2023-07-07T19:59:25.4508803Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4508941Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4508947Z 2023-07-07T19:59:25.4509239Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4509326Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4509332Z 2023-07-07T19:59:25.4509577Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4509682Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4509687Z 2023-07-07T19:59:25.4509941Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4510027Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4510033Z 2023-07-07T19:59:25.4510336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4510506Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4510512Z 2023-07-07T19:59:25.4510821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4510958Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4510963Z 2023-07-07T19:59:25.4511255Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4511400Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4511405Z 2023-07-07T19:59:25.4511683Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4511828Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4511833Z 2023-07-07T19:59:25.4512138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4512296Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4512302Z 2023-07-07T19:59:25.4512585Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4512719Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4512725Z 2023-07-07T19:59:25.4512981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4513068Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4513075Z 2023-07-07T19:59:25.4513379Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4513500Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4513505Z 2023-07-07T19:59:25.4513813Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4513947Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4513953Z 2023-07-07T19:59:25.4514280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4514379Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4514385Z 2023-07-07T19:59:25.4514716Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4514821Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4514861Z 2023-07-07T19:59:25.4515117Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4515200Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4515206Z 2023-07-07T19:59:25.4515512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4515632Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4515637Z 2023-07-07T19:59:25.4515949Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4516083Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4516089Z 2023-07-07T19:59:25.4516382Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4516511Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4516519Z 2023-07-07T19:59:25.4516795Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4516940Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4516946Z 2023-07-07T19:59:25.4517317Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4517475Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4517481Z 2023-07-07T19:59:25.4517781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4517903Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4517952Z 2023-07-07T19:59:25.4518195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4518282Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4518287Z 2023-07-07T19:59:25.4518592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4518724Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4518729Z 2023-07-07T19:59:25.4519039Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4519176Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4519182Z 2023-07-07T19:59:25.4519474Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4519572Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4519579Z 2023-07-07T19:59:25.4519827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4519918Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4519936Z 2023-07-07T19:59:25.4520179Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4520263Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4520268Z 2023-07-07T19:59:25.4520572Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4520705Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4520710Z 2023-07-07T19:59:25.4521065Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4521203Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4521211Z 2023-07-07T19:59:25.4521502Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4521657Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4521662Z 2023-07-07T19:59:25.4521937Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4522071Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4522089Z 2023-07-07T19:59:25.4522379Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4522538Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4522543Z 2023-07-07T19:59:25.4522827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4522964Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4522970Z 2023-07-07T19:59:25.4523226Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4523310Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4523315Z 2023-07-07T19:59:25.4523622Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4523788Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4523794Z 2023-07-07T19:59:25.4524109Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4524243Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4524248Z 2023-07-07T19:59:25.4524702Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4524872Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4524879Z 2023-07-07T19:59:25.4525137Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4525238Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4525244Z 2023-07-07T19:59:25.4525499Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4525586Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4525591Z 2023-07-07T19:59:25.4525895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4526029Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4526034Z 2023-07-07T19:59:25.4526343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4526479Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4526487Z 2023-07-07T19:59:25.4526763Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4526887Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4526892Z 2023-07-07T19:59:25.4527169Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4527315Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4527320Z 2023-07-07T19:59:25.4527667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4527826Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4527831Z 2023-07-07T19:59:25.4528114Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4528251Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4528295Z 2023-07-07T19:59:25.4528550Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4528635Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4528641Z 2023-07-07T19:59:25.4528934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4529067Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4529073Z 2023-07-07T19:59:25.4529384Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4529518Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4529524Z 2023-07-07T19:59:25.4529814Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4529913Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4529919Z 2023-07-07T19:59:25.4530165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4530265Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4530271Z 2023-07-07T19:59:25.4530566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4530654Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4530659Z 2023-07-07T19:59:25.4530951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4531084Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4531089Z 2023-07-07T19:59:25.4531395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4531565Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4531571Z 2023-07-07T19:59:25.4531862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4531986Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4531991Z 2023-07-07T19:59:25.4532266Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4532409Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4532415Z 2023-07-07T19:59:25.4532719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4532876Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4532884Z 2023-07-07T19:59:25.4533167Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4533291Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4533296Z 2023-07-07T19:59:25.4533551Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4533635Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4533643Z 2023-07-07T19:59:25.4533948Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4534116Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4534122Z 2023-07-07T19:59:25.4534432Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4534568Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4534576Z 2023-07-07T19:59:25.4534870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4535005Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4535010Z 2023-07-07T19:59:25.4535256Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4535346Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4535353Z 2023-07-07T19:59:25.4535606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4535690Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4535697Z 2023-07-07T19:59:25.4536000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4536134Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4536141Z 2023-07-07T19:59:25.4536449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4536587Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4536593Z 2023-07-07T19:59:25.4536882Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4537042Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4537048Z 2023-07-07T19:59:25.4537320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4537455Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4537460Z 2023-07-07T19:59:25.4537764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4537957Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4537964Z 2023-07-07T19:59:25.4538246Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4538380Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4538385Z 2023-07-07T19:59:25.4538642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4538728Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4538733Z 2023-07-07T19:59:25.4539040Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4539172Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4539177Z 2023-07-07T19:59:25.4539487Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4539615Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4539634Z 2023-07-07T19:59:25.4539913Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4540010Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4540016Z 2023-07-07T19:59:25.4540262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4540364Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4540370Z 2023-07-07T19:59:25.4540657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4540741Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4540746Z 2023-07-07T19:59:25.4541055Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4541189Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4541225Z 2023-07-07T19:59:25.4541538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4541659Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4541677Z 2023-07-07T19:59:25.4541958Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4542082Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4542087Z 2023-07-07T19:59:25.4542363Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4542506Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4542512Z 2023-07-07T19:59:25.4542815Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4542975Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4542981Z 2023-07-07T19:59:25.4543262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4543393Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4543399Z 2023-07-07T19:59:25.4543706Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4543780Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4543798Z 2023-07-07T19:59:25.4544090Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4544222Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4544228Z 2023-07-07T19:59:25.4544574Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4544713Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4544718Z 2023-07-07T19:59:25.4545008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4545105Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4545111Z 2023-07-07T19:59:25.4545358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4545459Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4545465Z 2023-07-07T19:59:25.4545720Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4545792Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4545809Z 2023-07-07T19:59:25.4546102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4546240Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4546245Z 2023-07-07T19:59:25.4546554Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4546689Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4546695Z 2023-07-07T19:59:25.4546989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4547113Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4547155Z 2023-07-07T19:59:25.4547433Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4547578Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4547585Z 2023-07-07T19:59:25.4547886Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4548082Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4548087Z 2023-07-07T19:59:25.4548357Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4548493Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4548498Z 2023-07-07T19:59:25.4548753Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4548839Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4548845Z 2023-07-07T19:59:25.4549148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4549279Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4549287Z 2023-07-07T19:59:25.4549595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4549734Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4549739Z 2023-07-07T19:59:25.4550032Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4550165Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4550171Z 2023-07-07T19:59:25.4550406Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4550511Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4550516Z 2023-07-07T19:59:25.4550768Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4550850Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4550887Z 2023-07-07T19:59:25.4551191Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4551326Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4551331Z 2023-07-07T19:59:25.4551638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4551775Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4551781Z 2023-07-07T19:59:25.4552073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4552200Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4552205Z 2023-07-07T19:59:25.4552467Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4552613Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4552620Z 2023-07-07T19:59:25.4552922Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4553080Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4553085Z 2023-07-07T19:59:25.4553369Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4553504Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4553509Z 2023-07-07T19:59:25.4553799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4553884Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4553889Z 2023-07-07T19:59:25.4554193Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4554327Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4554361Z 2023-07-07T19:59:25.4554779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4554902Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4554907Z 2023-07-07T19:59:25.4555201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4555298Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4555303Z 2023-07-07T19:59:25.4555552Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4555654Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4555659Z 2023-07-07T19:59:25.4555914Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4556000Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4556007Z 2023-07-07T19:59:25.4556309Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4556443Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4556448Z 2023-07-07T19:59:25.4556791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4556914Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4556920Z 2023-07-07T19:59:25.4557214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4557339Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4557345Z 2023-07-07T19:59:25.4557652Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4557799Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4557805Z 2023-07-07T19:59:25.4558106Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4558264Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4558270Z 2023-07-07T19:59:25.4558554Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4558687Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4558694Z 2023-07-07T19:59:25.4558950Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4559021Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4559028Z 2023-07-07T19:59:25.4559333Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4559468Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4559473Z 2023-07-07T19:59:25.4559781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4559923Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4559928Z 2023-07-07T19:59:25.4560219Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4560353Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4560359Z 2023-07-07T19:59:25.4560610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4560712Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4560720Z 2023-07-07T19:59:25.4560974Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4561077Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4561082Z 2023-07-07T19:59:25.4561388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4561521Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4561526Z 2023-07-07T19:59:25.4561837Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4561972Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4561977Z 2023-07-07T19:59:25.4562267Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4562393Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4562400Z 2023-07-07T19:59:25.4562678Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4562825Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4562830Z 2023-07-07T19:59:25.4563131Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4563306Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4563326Z 2023-07-07T19:59:25.4563597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4563735Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4563740Z 2023-07-07T19:59:25.4563996Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4564112Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4564117Z 2023-07-07T19:59:25.4564561Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4564743Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4564749Z 2023-07-07T19:59:25.4565070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4565207Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4565212Z 2023-07-07T19:59:25.4565508Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4565593Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4565612Z 2023-07-07T19:59:25.4565847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4565952Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4565957Z 2023-07-07T19:59:25.4566216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4566300Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4566305Z 2023-07-07T19:59:25.4566611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4566746Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4566751Z 2023-07-07T19:59:25.4567142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4567280Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4567286Z 2023-07-07T19:59:25.4567576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4567690Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4567750Z 2023-07-07T19:59:25.4568013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4568159Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4568165Z 2023-07-07T19:59:25.4568469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4568627Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4568632Z 2023-07-07T19:59:25.4568916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4569051Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4569056Z 2023-07-07T19:59:25.4569312Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4569399Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4569403Z 2023-07-07T19:59:25.4569709Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4569840Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4569845Z 2023-07-07T19:59:25.4570185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4570324Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4570329Z 2023-07-07T19:59:25.4570624Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4570722Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4570727Z 2023-07-07T19:59:25.4571016Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4571121Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4571125Z 2023-07-07T19:59:25.4571379Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4571463Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4571468Z 2023-07-07T19:59:25.4571779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4571913Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4571918Z 2023-07-07T19:59:25.4572214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4572350Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4572355Z 2023-07-07T19:59:25.4572649Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4572777Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4572782Z 2023-07-07T19:59:25.4573055Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4573200Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4573209Z 2023-07-07T19:59:25.4573511Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4573699Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4573705Z 2023-07-07T19:59:25.4573989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4574124Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4574131Z 2023-07-07T19:59:25.4574372Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4574486Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4574491Z 2023-07-07T19:59:25.4574793Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4574927Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4574932Z 2023-07-07T19:59:25.4575243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4575377Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4575382Z 2023-07-07T19:59:25.4575671Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4575770Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4575775Z 2023-07-07T19:59:25.4576021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4576124Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4576129Z 2023-07-07T19:59:25.4576370Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4576455Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4576499Z 2023-07-07T19:59:25.4576808Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4576942Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4576947Z 2023-07-07T19:59:25.4577254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4577389Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4577425Z 2023-07-07T19:59:25.4577719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4577845Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4577851Z 2023-07-07T19:59:25.4578126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4578271Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4578277Z 2023-07-07T19:59:25.4578583Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4578728Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4578733Z 2023-07-07T19:59:25.4579015Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4579151Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4579158Z 2023-07-07T19:59:25.4579415Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4579497Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4579502Z 2023-07-07T19:59:25.4579810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4579942Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4579947Z 2023-07-07T19:59:25.4580284Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4580422Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4580427Z 2023-07-07T19:59:25.4580715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4580802Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4580834Z 2023-07-07T19:59:25.4581082Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4581182Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4581188Z 2023-07-07T19:59:25.4581444Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4581527Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4581532Z 2023-07-07T19:59:25.4581836Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4581967Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4581972Z 2023-07-07T19:59:25.4582278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4582415Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4582422Z 2023-07-07T19:59:25.4582712Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4582825Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4582829Z 2023-07-07T19:59:25.4583139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4583286Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4583291Z 2023-07-07T19:59:25.4583596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4583754Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4583760Z 2023-07-07T19:59:25.4584079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4584214Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4584219Z 2023-07-07T19:59:25.4584474Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4584557Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4584563Z 2023-07-07T19:59:25.4584869Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4584989Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4585005Z 2023-07-07T19:59:25.4585302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4585436Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4585443Z 2023-07-07T19:59:25.4585732Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4585832Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4585837Z 2023-07-07T19:59:25.4586086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4586187Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4586192Z 2023-07-07T19:59:25.4586446Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4586533Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4586538Z 2023-07-07T19:59:25.4586872Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4586993Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4587014Z 2023-07-07T19:59:25.4587311Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4587478Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4587483Z 2023-07-07T19:59:25.4587776Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4587900Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4587907Z 2023-07-07T19:59:25.4588182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4588330Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4588335Z 2023-07-07T19:59:25.4588636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4588793Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4588801Z 2023-07-07T19:59:25.4589085Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4589219Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4589226Z 2023-07-07T19:59:25.4589468Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4589589Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4589595Z 2023-07-07T19:59:25.4589901Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4590036Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4590041Z 2023-07-07T19:59:25.4590392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4590613Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4590622Z 2023-07-07T19:59:25.4590919Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4591017Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4591023Z 2023-07-07T19:59:25.4591269Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4591373Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4591378Z 2023-07-07T19:59:25.4591619Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4591706Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4591711Z 2023-07-07T19:59:25.4592015Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4592149Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4592154Z 2023-07-07T19:59:25.4592461Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4592599Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4592605Z 2023-07-07T19:59:25.4592896Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4593020Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4593026Z 2023-07-07T19:59:25.4593337Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4593485Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4593491Z 2023-07-07T19:59:25.4593780Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4593941Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4593975Z 2023-07-07T19:59:25.4594256Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4594388Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4594394Z 2023-07-07T19:59:25.4594733Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4594818Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4594823Z 2023-07-07T19:59:25.4595129Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4595262Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4595267Z 2023-07-07T19:59:25.4595576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4595717Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4595722Z 2023-07-07T19:59:25.4596001Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4596098Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4596106Z 2023-07-07T19:59:25.4596390Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4596494Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4596499Z 2023-07-07T19:59:25.4596756Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4596840Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4596845Z 2023-07-07T19:59:25.4597150Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4597313Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4597320Z 2023-07-07T19:59:25.4597625Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4597761Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4597767Z 2023-07-07T19:59:25.4598046Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4598171Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4598176Z 2023-07-07T19:59:25.4598450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4598593Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4598600Z 2023-07-07T19:59:25.4598907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4599065Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4599071Z 2023-07-07T19:59:25.4599354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4599489Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4599496Z 2023-07-07T19:59:25.4599751Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4599834Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4599870Z 2023-07-07T19:59:25.4600175Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4600296Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4600303Z 2023-07-07T19:59:25.4600611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4600774Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4600779Z 2023-07-07T19:59:25.4601068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4601167Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4601172Z 2023-07-07T19:59:25.4601419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4601523Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4601528Z 2023-07-07T19:59:25.4601781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4601862Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4601870Z 2023-07-07T19:59:25.4602174Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4602296Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4602301Z 2023-07-07T19:59:25.4602609Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4602770Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4602776Z 2023-07-07T19:59:25.4603066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4603192Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4603198Z 2023-07-07T19:59:25.4603471Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4603615Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4603648Z 2023-07-07T19:59:25.4603955Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4604113Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4604118Z 2023-07-07T19:59:25.4604513Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4604659Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4604677Z 2023-07-07T19:59:25.4604926Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4605011Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4605016Z 2023-07-07T19:59:25.4605321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4605457Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4605464Z 2023-07-07T19:59:25.4605773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4605908Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4605913Z 2023-07-07T19:59:25.4606207Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4606303Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4606308Z 2023-07-07T19:59:25.4606635Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4606726Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4606744Z 2023-07-07T19:59:25.4606987Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4607072Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4607076Z 2023-07-07T19:59:25.4607422Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4607558Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4607563Z 2023-07-07T19:59:25.4607870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4608005Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4608011Z 2023-07-07T19:59:25.4608304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4608430Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4608435Z 2023-07-07T19:59:25.4608710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4608843Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4608863Z 2023-07-07T19:59:25.4609154Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4609311Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4609316Z 2023-07-07T19:59:25.4609631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4609767Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4609773Z 2023-07-07T19:59:25.4610030Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4610115Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4610120Z 2023-07-07T19:59:25.4610428Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4610599Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4610604Z 2023-07-07T19:59:25.4610912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4611047Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4611053Z 2023-07-07T19:59:25.4611331Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4611427Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4611433Z 2023-07-07T19:59:25.4611683Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4611785Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4611791Z 2023-07-07T19:59:25.4612049Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4612135Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4612140Z 2023-07-07T19:59:25.4612443Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4612573Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4612579Z 2023-07-07T19:59:25.4612891Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4613014Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4613031Z 2023-07-07T19:59:25.4613351Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4613478Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4613485Z 2023-07-07T19:59:25.4613758Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4613930Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4613935Z 2023-07-07T19:59:25.4614237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4614395Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4614400Z 2023-07-07T19:59:25.4614681Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4614817Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4614823Z 2023-07-07T19:59:25.4615076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4615159Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4615167Z 2023-07-07T19:59:25.4615458Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4615593Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4615598Z 2023-07-07T19:59:25.4615905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4616068Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4616074Z 2023-07-07T19:59:25.4616364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4616464Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4616469Z 2023-07-07T19:59:25.4616718Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4616850Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4616855Z 2023-07-07T19:59:25.4617108Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4617194Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4617199Z 2023-07-07T19:59:25.4617490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4617625Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4617630Z 2023-07-07T19:59:25.4617939Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4618075Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4618081Z 2023-07-07T19:59:25.4618370Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4618498Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4618503Z 2023-07-07T19:59:25.4618777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4618922Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4618927Z 2023-07-07T19:59:25.4619232Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4619389Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4619394Z 2023-07-07T19:59:25.4619705Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4619828Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4619833Z 2023-07-07T19:59:25.4620089Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4620177Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4620210Z 2023-07-07T19:59:25.4620513Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4620645Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4620650Z 2023-07-07T19:59:25.4620960Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4621096Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4621102Z 2023-07-07T19:59:25.4621392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4621489Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4621494Z 2023-07-07T19:59:25.4621740Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4621831Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4621838Z 2023-07-07T19:59:25.4622092Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4622176Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4622180Z 2023-07-07T19:59:25.4622528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4622665Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4622670Z 2023-07-07T19:59:25.4622981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4623116Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4623122Z 2023-07-07T19:59:25.4623413Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4623567Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4623574Z 2023-07-07T19:59:25.4623851Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4623983Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4623988Z 2023-07-07T19:59:25.4624291Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4624448Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4624456Z 2023-07-07T19:59:25.4624737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4624871Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4624878Z 2023-07-07T19:59:25.4625133Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4625220Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4625225Z 2023-07-07T19:59:25.4625532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4625664Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4625670Z 2023-07-07T19:59:25.4625981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4626131Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4626137Z 2023-07-07T19:59:25.4626429Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4626527Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4626535Z 2023-07-07T19:59:25.4626780Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4626910Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4626916Z 2023-07-07T19:59:25.4627172Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4627256Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4627260Z 2023-07-07T19:59:25.4627566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4627699Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4627706Z 2023-07-07T19:59:25.4628011Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4628134Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4628141Z 2023-07-07T19:59:25.4628431Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4628558Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4628563Z 2023-07-07T19:59:25.4628838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4629012Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4629018Z 2023-07-07T19:59:25.4629322Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4629483Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4629488Z 2023-07-07T19:59:25.4629771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4629935Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4629940Z 2023-07-07T19:59:25.4630202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4630273Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4630291Z 2023-07-07T19:59:25.4630582Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4630717Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4630722Z 2023-07-07T19:59:25.4631035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4631172Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4631177Z 2023-07-07T19:59:25.4631468Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4631568Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4631576Z 2023-07-07T19:59:25.4631822Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4631924Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4631930Z 2023-07-07T19:59:25.4632183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4632256Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4632274Z 2023-07-07T19:59:25.4632565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4632729Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4632735Z 2023-07-07T19:59:25.4633041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4633177Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4633211Z 2023-07-07T19:59:25.4633505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4633629Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4633635Z 2023-07-07T19:59:25.4633910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4634054Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4634059Z 2023-07-07T19:59:25.4634366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4634610Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4634616Z 2023-07-07T19:59:25.4634894Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4635031Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4635039Z 2023-07-07T19:59:25.4635293Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4635378Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4635383Z 2023-07-07T19:59:25.4635729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4635864Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4635869Z 2023-07-07T19:59:25.4636180Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4636313Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4636319Z 2023-07-07T19:59:25.4636638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4636738Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4636743Z 2023-07-07T19:59:25.4636975Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4637076Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4637081Z 2023-07-07T19:59:25.4637335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4637420Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4637425Z 2023-07-07T19:59:25.4637729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4637862Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4637867Z 2023-07-07T19:59:25.4638174Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4638314Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4638319Z 2023-07-07T19:59:25.4638611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4638736Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4638741Z 2023-07-07T19:59:25.4639007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4639151Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4639185Z 2023-07-07T19:59:25.4639490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4639646Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4639653Z 2023-07-07T19:59:25.4639936Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4640111Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4640117Z 2023-07-07T19:59:25.4640420Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4640542Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4640552Z 2023-07-07T19:59:25.4641023Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4641225Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4641232Z 2023-07-07T19:59:25.4641692Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4641897Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4641907Z 2023-07-07T19:59:25.4642353Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4642501Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4642508Z 2023-07-07T19:59:25.4642885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4643076Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4643085Z 2023-07-07T19:59:25.4643479Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4643604Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4643615Z 2023-07-07T19:59:25.4644084Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4644284Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4644325Z 2023-07-07T19:59:25.4644896Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4645104Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4645112Z 2023-07-07T19:59:25.4645556Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4645745Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4645753Z 2023-07-07T19:59:25.4646169Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4646388Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4646396Z 2023-07-07T19:59:25.4646869Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4647106Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4647116Z 2023-07-07T19:59:25.4647549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4647748Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4647756Z 2023-07-07T19:59:25.4648146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4648255Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4648262Z 2023-07-07T19:59:25.4648814Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4649017Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4649025Z 2023-07-07T19:59:25.4649505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4649707Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4649764Z 2023-07-07T19:59:25.4650214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4650357Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4650364Z 2023-07-07T19:59:25.4650742Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4650895Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4650903Z 2023-07-07T19:59:25.4651293Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4651404Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4651412Z 2023-07-07T19:59:25.4651876Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4652079Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4652089Z 2023-07-07T19:59:25.4652565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4652768Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4652776Z 2023-07-07T19:59:25.4653272Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4653458Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4653466Z 2023-07-07T19:59:25.4653893Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4654110Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4654117Z 2023-07-07T19:59:25.4654577Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4654842Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4654864Z 2023-07-07T19:59:25.4655283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4655481Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4655489Z 2023-07-07T19:59:25.4655881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4656008Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4656015Z 2023-07-07T19:59:25.4656480Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4656680Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4656690Z 2023-07-07T19:59:25.4657163Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4657371Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4657379Z 2023-07-07T19:59:25.4657830Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4657961Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4657985Z 2023-07-07T19:59:25.4658347Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4658498Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4658505Z 2023-07-07T19:59:25.4658929Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4659055Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4659063Z 2023-07-07T19:59:25.4659532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4659775Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4659783Z 2023-07-07T19:59:25.4660249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4660450Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4660461Z 2023-07-07T19:59:25.4660916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4661085Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4661110Z 2023-07-07T19:59:25.4661515Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4661731Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4661742Z 2023-07-07T19:59:25.4662208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4662441Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4662449Z 2023-07-07T19:59:25.4662889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4663127Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4663136Z 2023-07-07T19:59:25.4663529Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4663655Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4663663Z 2023-07-07T19:59:25.4664127Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4664355Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4664376Z 2023-07-07T19:59:25.4664831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4665040Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4665047Z 2023-07-07T19:59:25.4665501Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4665646Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4665653Z 2023-07-07T19:59:25.4666030Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4666184Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4666192Z 2023-07-07T19:59:25.4666580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4666709Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4666716Z 2023-07-07T19:59:25.4667179Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4667369Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4667390Z 2023-07-07T19:59:25.4667848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4668054Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4668061Z 2023-07-07T19:59:25.4668571Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4668760Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4668768Z 2023-07-07T19:59:25.4669186Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4669402Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4669451Z 2023-07-07T19:59:25.4669911Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4670145Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4670153Z 2023-07-07T19:59:25.4670584Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4670783Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4670791Z 2023-07-07T19:59:25.4671171Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4671297Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4671304Z 2023-07-07T19:59:25.4671774Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4671977Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4671987Z 2023-07-07T19:59:25.4672454Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4672656Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4672663Z 2023-07-07T19:59:25.4673145Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4673292Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4673299Z 2023-07-07T19:59:25.4673682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4673828Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4673836Z 2023-07-07T19:59:25.4674213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4674376Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4674386Z 2023-07-07T19:59:25.4674935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4675133Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4675140Z 2023-07-07T19:59:25.4675620Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4675822Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4675829Z 2023-07-07T19:59:25.4676280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4676467Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4676475Z 2023-07-07T19:59:25.4676897Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4677114Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4677121Z 2023-07-07T19:59:25.4677567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4677804Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4677814Z 2023-07-07T19:59:25.4678245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4678480Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4678488Z 2023-07-07T19:59:25.4678877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4679004Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4679014Z 2023-07-07T19:59:25.4679481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4679711Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4679719Z 2023-07-07T19:59:25.4680193Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4680400Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4680407Z 2023-07-07T19:59:25.4680857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4680990Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4680997Z 2023-07-07T19:59:25.4681373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4681521Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4681531Z 2023-07-07T19:59:25.4681923Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4682050Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4682057Z 2023-07-07T19:59:25.4682523Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4682724Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4682765Z 2023-07-07T19:59:25.4683242Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4683448Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4683456Z 2023-07-07T19:59:25.4683911Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4684084Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4684126Z 2023-07-07T19:59:25.4684661Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4684885Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4684892Z 2023-07-07T19:59:25.4685361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4685598Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4685606Z 2023-07-07T19:59:25.4686044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4686244Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4686253Z 2023-07-07T19:59:25.4686642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4686770Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4686778Z 2023-07-07T19:59:25.4687247Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4687432Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4687439Z 2023-07-07T19:59:25.4687916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4688117Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4688125Z 2023-07-07T19:59:25.4688634Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4688781Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4688788Z 2023-07-07T19:59:25.4689166Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4689322Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4689370Z 2023-07-07T19:59:25.4689760Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4689884Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4689891Z 2023-07-07T19:59:25.4690358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4690544Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4690551Z 2023-07-07T19:59:25.4691024Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4691228Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4691236Z 2023-07-07T19:59:25.4691687Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4691877Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4691887Z 2023-07-07T19:59:25.4692310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4692525Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4692532Z 2023-07-07T19:59:25.4693043Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4693279Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4693287Z 2023-07-07T19:59:25.4693720Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4693903Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4693924Z 2023-07-07T19:59:25.4694345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4694476Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4694483Z 2023-07-07T19:59:25.4694952Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4695153Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4695160Z 2023-07-07T19:59:25.4695638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4695840Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4695848Z 2023-07-07T19:59:25.4696296Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4696439Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4696450Z 2023-07-07T19:59:25.4696824Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4696964Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4696985Z 2023-07-07T19:59:25.4697361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4697485Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4697492Z 2023-07-07T19:59:25.4697966Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4698166Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4698174Z 2023-07-07T19:59:25.4698679Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4698886Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4698897Z 2023-07-07T19:59:25.4699347Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4699566Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4699574Z 2023-07-07T19:59:25.4699996Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4700211Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4700222Z 2023-07-07T19:59:25.4700669Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4700906Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4700913Z 2023-07-07T19:59:25.4701347Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4701548Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4701558Z 2023-07-07T19:59:25.4701953Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4702079Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4702086Z 2023-07-07T19:59:25.4702552Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4702802Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4702811Z 2023-07-07T19:59:25.4703285Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4703488Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4703496Z 2023-07-07T19:59:25.4703924Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4704101Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4704109Z 2023-07-07T19:59:25.4704484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4704635Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4704643Z 2023-07-07T19:59:25.4705030Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4705155Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4705165Z 2023-07-07T19:59:25.4705637Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4705836Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4705843Z 2023-07-07T19:59:25.4706316Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4706520Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4706528Z 2023-07-07T19:59:25.4706962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4707150Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4707158Z 2023-07-07T19:59:25.4707580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4707798Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4707806Z 2023-07-07T19:59:25.4708299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4708538Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4708546Z 2023-07-07T19:59:25.4708978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4709180Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4709220Z 2023-07-07T19:59:25.4709610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4709736Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4709743Z 2023-07-07T19:59:25.4710202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4710401Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4710409Z 2023-07-07T19:59:25.4710885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4711091Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4711098Z 2023-07-07T19:59:25.4711553Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4711702Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4711712Z 2023-07-07T19:59:25.4712089Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4712236Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4712244Z 2023-07-07T19:59:25.4712666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4712792Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4712799Z 2023-07-07T19:59:25.4713257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4713456Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4713463Z 2023-07-07T19:59:25.4713928Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4714206Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4714216Z 2023-07-07T19:59:25.4714710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4714897Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4714904Z 2023-07-07T19:59:25.4715330Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4715548Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4715556Z 2023-07-07T19:59:25.4716024Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4716264Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4716274Z 2023-07-07T19:59:25.4716709Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4716898Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4716905Z 2023-07-07T19:59:25.4717294Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4717419Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4717426Z 2023-07-07T19:59:25.4717901Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4718097Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4718152Z 2023-07-07T19:59:25.4718627Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4718829Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4718839Z 2023-07-07T19:59:25.4719291Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4719471Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4719478Z 2023-07-07T19:59:25.4719852Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4719989Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4719997Z 2023-07-07T19:59:25.4720389Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4720510Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4720517Z 2023-07-07T19:59:25.4720986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4721187Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4721197Z 2023-07-07T19:59:25.4721648Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4721855Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4721864Z 2023-07-07T19:59:25.4722326Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4722555Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4722563Z 2023-07-07T19:59:25.4722987Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4723191Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4723213Z 2023-07-07T19:59:25.4723658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4723928Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4723936Z 2023-07-07T19:59:25.4724372Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4724755Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4724763Z 2023-07-07T19:59:25.4725159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4725287Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4725295Z 2023-07-07T19:59:25.4725775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4725976Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4725983Z 2023-07-07T19:59:25.4726463Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4726656Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4726680Z 2023-07-07T19:59:25.4727115Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4727256Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4727264Z 2023-07-07T19:59:25.4727641Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4727794Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4727801Z 2023-07-07T19:59:25.4728192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4728405Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4728413Z 2023-07-07T19:59:25.4728881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4729084Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4729091Z 2023-07-07T19:59:25.4729612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4729801Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4729822Z 2023-07-07T19:59:25.4730256Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4730444Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4730451Z 2023-07-07T19:59:25.4730874Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4731090Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4731098Z 2023-07-07T19:59:25.4731498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T19:59:25.4731688Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.4731698Z 2023-07-07T19:59:25.4732100Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T19:59:25.4732284Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.4732291Z 2023-07-07T19:59:25.4732790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 60, in increase_prec 2023-07-07T19:59:25.4732929Z return x.to(computation_dtype) 2023-07-07T19:59:25.4732951Z 2023-07-07T19:59:25.4733337Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4733462Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4733470Z 2023-07-07T19:59:25.4733934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4734186Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4734196Z 2023-07-07T19:59:25.4734670Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4734870Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4734878Z 2023-07-07T19:59:25.4735326Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 256, in proxy_call 2023-07-07T19:59:25.4735560Z if not pytree.tree_all_only(torch.Tensor, can_handle_tensor, (args, kwargs)): 2023-07-07T19:59:25.4735568Z 2023-07-07T19:59:25.4735976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 416, in tree_all_only 2023-07-07T19:59:25.4736123Z flat_args, _ = tree_flatten(pytree) 2023-07-07T19:59:25.4736131Z 2023-07-07T19:59:25.4736526Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 274, in tree_flatten 2023-07-07T19:59:25.4736646Z if _is_leaf(pytree): 2023-07-07T19:59:25.4736656Z 2023-07-07T19:59:25.4737047Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 233, in _is_leaf 2023-07-07T19:59:25.4737238Z return _get_node_type(pytree) not in SUPPORTED_NODES 2023-07-07T19:59:25.4737245Z 2023-07-07T19:59:25.4737426Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.4737433Z 2023-07-07T19:59:25.4737797Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.4737914Z Original traceback: 2023-07-07T19:59:25.4738159Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.4738327Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.4738334Z 2023-07-07T19:59:25.4738341Z 2023-07-07T19:59:25.4738419Z ``` 2023-07-07T19:59:25.4738530Z XFAIL [0.0839s] [ 83%] 2023-07-07T19:59:25.4739294Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool2d_cpu_int8 [2023-07-07 19:58:11,724] torch.onnx: [ERROR] Running Decompose pass. Raised from: 2023-07-07T19:59:25.4739513Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.4739521Z 2023-07-07T19:59:25.4739886Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.4740004Z Original traceback: 2023-07-07T19:59:25.4740199Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.4740368Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.4740375Z 2023-07-07T19:59:25.4740704Z [2023-07-07 19:58:11,724] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T19:59:25.4741023Z - self: 2023-07-07T19:59:25.4741193Z - args: 2023-07-07T19:59:25.4741304Z ### Exception log 2023-07-07T19:59:25.4741397Z ``` 2023-07-07T19:59:25.4741541Z Traceback (most recent call last): 2023-07-07T19:59:25.4741549Z 2023-07-07T19:59:25.4742029Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T19:59:25.4742169Z return_values = fn(*args, **kwargs) 2023-07-07T19:59:25.4742177Z 2023-07-07T19:59:25.4742630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T19:59:25.4742757Z module = self._run(*args, **kwargs) 2023-07-07T19:59:25.4742765Z 2023-07-07T19:59:25.4743075Z File "<@beartype(torch.onnx._internal.fx.passes.decomp.Decompose._run) at 0x7fa2dc38db80>", line 10, in _run 2023-07-07T19:59:25.4743083Z 2023-07-07T19:59:25.4743519Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/decomp.py", line 52, in _run 2023-07-07T19:59:25.4743732Z decomposed_module = proxy_tensor.make_fx( 2023-07-07T19:59:25.4743743Z 2023-07-07T19:59:25.4744190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T19:59:25.4744478Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T19:59:25.4744486Z 2023-07-07T19:59:25.4744869Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T19:59:25.4745070Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T19:59:25.4745078Z 2023-07-07T19:59:25.4745480Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.4745608Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4745615Z 2023-07-07T19:59:25.4746010Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.4746139Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4746149Z 2023-07-07T19:59:25.4746613Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T19:59:25.4746776Z graph = tracer.trace(root, concrete_args) 2023-07-07T19:59:25.4746783Z 2023-07-07T19:59:25.4747185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.4747311Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4747319Z 2023-07-07T19:59:25.4747727Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.4747896Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4747904Z 2023-07-07T19:59:25.4748313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T19:59:25.4748452Z (self.create_arg(fn(*args)),), 2023-07-07T19:59:25.4748460Z 2023-07-07T19:59:25.4748888Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T19:59:25.4749035Z out = f(*tensors) 2023-07-07T19:59:25.4749042Z 2023-07-07T19:59:25.4749177Z File "", line 1, in 2023-07-07T19:59:25.4749185Z 2023-07-07T19:59:25.4749628Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/_utils.py", line 30, in wrapped 2023-07-07T19:59:25.4749827Z return torch.fx.Interpreter(graph_module).run(*args) 2023-07-07T19:59:25.4749835Z 2023-07-07T19:59:25.4750229Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 138, in run 2023-07-07T19:59:25.4750374Z self.env[node] = self.run_node(node) 2023-07-07T19:59:25.4750382Z 2023-07-07T19:59:25.4750785Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 195, in run_node 2023-07-07T19:59:25.4750964Z return getattr(self, n.op)(n.target, args, kwargs) 2023-07-07T19:59:25.4750972Z 2023-07-07T19:59:25.4751396Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 267, in call_function 2023-07-07T19:59:25.4751514Z return target(*args, **kwargs) 2023-07-07T19:59:25.4751522Z 2023-07-07T19:59:25.4751957Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4752194Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4752204Z 2023-07-07T19:59:25.4752591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4752720Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4752728Z 2023-07-07T19:59:25.4753198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4753435Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4753443Z 2023-07-07T19:59:25.4753919Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4754122Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4754130Z 2023-07-07T19:59:25.4754656Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4754829Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4754837Z 2023-07-07T19:59:25.4755260Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4755477Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4755486Z 2023-07-07T19:59:25.4755952Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4756188Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4756198Z 2023-07-07T19:59:25.4756631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4756832Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4756839Z 2023-07-07T19:59:25.4757228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4757352Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4757359Z 2023-07-07T19:59:25.4757874Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4758061Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4758068Z 2023-07-07T19:59:25.4758544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4758789Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4758796Z 2023-07-07T19:59:25.4759245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4759391Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4759399Z 2023-07-07T19:59:25.4759773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4759924Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4759931Z 2023-07-07T19:59:25.4760323Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4760448Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4760455Z 2023-07-07T19:59:25.4760926Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4761113Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4761123Z 2023-07-07T19:59:25.4761599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4761798Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4761805Z 2023-07-07T19:59:25.4762281Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4762468Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4762477Z 2023-07-07T19:59:25.4762895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4763108Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4763157Z 2023-07-07T19:59:25.4763627Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4763866Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4763874Z 2023-07-07T19:59:25.4764305Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4764614Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4764639Z 2023-07-07T19:59:25.4765020Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4765145Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4765156Z 2023-07-07T19:59:25.4765620Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4765820Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4765830Z 2023-07-07T19:59:25.4766304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4766509Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4766517Z 2023-07-07T19:59:25.4766962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4767112Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4767120Z 2023-07-07T19:59:25.4767497Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4767719Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4767742Z 2023-07-07T19:59:25.4768119Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4768244Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4768254Z 2023-07-07T19:59:25.4768715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4768965Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4768973Z 2023-07-07T19:59:25.4769446Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4769653Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4769661Z 2023-07-07T19:59:25.4770107Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4770295Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4770303Z 2023-07-07T19:59:25.4770719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4770924Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4770946Z 2023-07-07T19:59:25.4771395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4771630Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4771638Z 2023-07-07T19:59:25.4772166Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4772370Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4772378Z 2023-07-07T19:59:25.4772767Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4772893Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4772901Z 2023-07-07T19:59:25.4773374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4773617Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4773628Z 2023-07-07T19:59:25.4774107Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4774310Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4774318Z 2023-07-07T19:59:25.4774751Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4774894Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4774902Z 2023-07-07T19:59:25.4775277Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4775426Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4775434Z 2023-07-07T19:59:25.4775829Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4775956Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4775963Z 2023-07-07T19:59:25.4776437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4776636Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4776643Z 2023-07-07T19:59:25.4777116Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4777316Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4777323Z 2023-07-07T19:59:25.4777795Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4777984Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4777993Z 2023-07-07T19:59:25.4778414Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4778633Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4778674Z 2023-07-07T19:59:25.4779138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4779370Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4779378Z 2023-07-07T19:59:25.4779813Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4780014Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4780022Z 2023-07-07T19:59:25.4780414Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4780535Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4780542Z 2023-07-07T19:59:25.4780999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4781201Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4781209Z 2023-07-07T19:59:25.4781682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4781886Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4781929Z 2023-07-07T19:59:25.4782380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4782522Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4782532Z 2023-07-07T19:59:25.4782910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4783058Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4783102Z 2023-07-07T19:59:25.4783487Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4783614Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4783622Z 2023-07-07T19:59:25.4784075Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4784270Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4784278Z 2023-07-07T19:59:25.4784751Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4784951Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4784961Z 2023-07-07T19:59:25.4785406Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4785591Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4785602Z 2023-07-07T19:59:25.4786020Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4786239Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4786247Z 2023-07-07T19:59:25.4786715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4786948Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4786957Z 2023-07-07T19:59:25.4787390Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4787609Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4787618Z 2023-07-07T19:59:25.4788005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4788129Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4788137Z 2023-07-07T19:59:25.4788605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4788835Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4788842Z 2023-07-07T19:59:25.4789324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4789527Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4789536Z 2023-07-07T19:59:25.4789985Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4790131Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4790139Z 2023-07-07T19:59:25.4790517Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4790657Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4790665Z 2023-07-07T19:59:25.4791052Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4791180Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4791187Z 2023-07-07T19:59:25.4791653Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4791926Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4791935Z 2023-07-07T19:59:25.4792414Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4792617Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4792625Z 2023-07-07T19:59:25.4793068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4793289Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4793300Z 2023-07-07T19:59:25.4793726Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4793927Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4793935Z 2023-07-07T19:59:25.4794397Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4794706Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4794714Z 2023-07-07T19:59:25.4795144Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4795344Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4795352Z 2023-07-07T19:59:25.4795742Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4795871Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4795881Z 2023-07-07T19:59:25.4796349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4796549Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4796557Z 2023-07-07T19:59:25.4797035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4797225Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4797247Z 2023-07-07T19:59:25.4797712Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4797859Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4797867Z 2023-07-07T19:59:25.4798246Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4798399Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4798440Z 2023-07-07T19:59:25.4798828Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4798956Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4798963Z 2023-07-07T19:59:25.4799430Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4799629Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4799637Z 2023-07-07T19:59:25.4800111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4800303Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4800324Z 2023-07-07T19:59:25.4800724Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4800894Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4800901Z 2023-07-07T19:59:25.4801299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4801515Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4801523Z 2023-07-07T19:59:25.4802031Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4802267Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4802278Z 2023-07-07T19:59:25.4802712Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4802911Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4802953Z 2023-07-07T19:59:25.4803349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4803461Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4803481Z 2023-07-07T19:59:25.4803934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4804133Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4804144Z 2023-07-07T19:59:25.4804708Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4804919Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4804927Z 2023-07-07T19:59:25.4805373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4805519Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4805530Z 2023-07-07T19:59:25.4805904Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4806055Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4806063Z 2023-07-07T19:59:25.4806446Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4806557Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4806579Z 2023-07-07T19:59:25.4807038Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4807237Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4807330Z 2023-07-07T19:59:25.4807802Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4808004Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4808015Z 2023-07-07T19:59:25.4808461Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4808693Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4808702Z 2023-07-07T19:59:25.4809126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4809344Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4809352Z 2023-07-07T19:59:25.4809812Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4810052Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4810060Z 2023-07-07T19:59:25.4810473Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4810680Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4810690Z 2023-07-07T19:59:25.4811079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4811205Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4811212Z 2023-07-07T19:59:25.4811678Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4811916Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4811925Z 2023-07-07T19:59:25.4812403Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4812605Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4812613Z 2023-07-07T19:59:25.4813063Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4813247Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4813257Z 2023-07-07T19:59:25.4813618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4813770Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4813778Z 2023-07-07T19:59:25.4814165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4814290Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4814297Z 2023-07-07T19:59:25.4814765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4814968Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4814975Z 2023-07-07T19:59:25.4815449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4815654Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4815664Z 2023-07-07T19:59:25.4816111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4816297Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4816304Z 2023-07-07T19:59:25.4816713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4816925Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4816933Z 2023-07-07T19:59:25.4817435Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4817670Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4817678Z 2023-07-07T19:59:25.4818106Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4818342Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4818350Z 2023-07-07T19:59:25.4818734Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4818856Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4818864Z 2023-07-07T19:59:25.4819335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4819531Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4819539Z 2023-07-07T19:59:25.4820009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4820196Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4820206Z 2023-07-07T19:59:25.4820651Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4820797Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4820805Z 2023-07-07T19:59:25.4821180Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4821330Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4821338Z 2023-07-07T19:59:25.4821757Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4821882Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4821890Z 2023-07-07T19:59:25.4822355Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4822552Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4822560Z 2023-07-07T19:59:25.4823069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4823263Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4823271Z 2023-07-07T19:59:25.4823717Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4823902Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4823910Z 2023-07-07T19:59:25.4824331Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4824543Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4824554Z 2023-07-07T19:59:25.4825013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4825249Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4825260Z 2023-07-07T19:59:25.4825693Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4825895Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4825903Z 2023-07-07T19:59:25.4826294Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4826407Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4826417Z 2023-07-07T19:59:25.4826889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4827126Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4827135Z 2023-07-07T19:59:25.4827612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4827820Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4827827Z 2023-07-07T19:59:25.4828303Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4828449Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4828457Z 2023-07-07T19:59:25.4828831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4828984Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4828993Z 2023-07-07T19:59:25.4829380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4829490Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4829500Z 2023-07-07T19:59:25.4829964Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4830162Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4830173Z 2023-07-07T19:59:25.4830650Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4830857Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4830865Z 2023-07-07T19:59:25.4831313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4831531Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4831539Z 2023-07-07T19:59:25.4831960Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4832178Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4832186Z 2023-07-07T19:59:25.4832653Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4832908Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4832933Z 2023-07-07T19:59:25.4833354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4833555Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4833563Z 2023-07-07T19:59:25.4833954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4834078Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4834087Z 2023-07-07T19:59:25.4834637Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4834841Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4834848Z 2023-07-07T19:59:25.4835322Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4835528Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4835538Z 2023-07-07T19:59:25.4835985Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4836114Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4836138Z 2023-07-07T19:59:25.4836504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4836656Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4836664Z 2023-07-07T19:59:25.4837089Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4837213Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4837220Z 2023-07-07T19:59:25.4837688Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4837890Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4837930Z 2023-07-07T19:59:25.4838399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4838600Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4838608Z 2023-07-07T19:59:25.4839058Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4839232Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4839253Z 2023-07-07T19:59:25.4839659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4839858Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4839865Z 2023-07-07T19:59:25.4840320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4840556Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4840565Z 2023-07-07T19:59:25.4841005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4841191Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4841199Z 2023-07-07T19:59:25.4841527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4841614Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4841619Z 2023-07-07T19:59:25.4841930Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4842063Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4842099Z 2023-07-07T19:59:25.4842399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4842537Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4842543Z 2023-07-07T19:59:25.4842832Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4842927Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4842935Z 2023-07-07T19:59:25.4843181Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4843282Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4843291Z 2023-07-07T19:59:25.4843544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4843625Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4843631Z 2023-07-07T19:59:25.4843935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4844071Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4844076Z 2023-07-07T19:59:25.4844370Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4844638Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4844645Z 2023-07-07T19:59:25.4844941Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4845133Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4845140Z 2023-07-07T19:59:25.4845415Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4845559Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4845567Z 2023-07-07T19:59:25.4845872Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4846067Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4846073Z 2023-07-07T19:59:25.4846356Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4846494Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4846499Z 2023-07-07T19:59:25.4846741Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4846861Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4846868Z 2023-07-07T19:59:25.4847169Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4847302Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4847308Z 2023-07-07T19:59:25.4847618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4847755Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4847760Z 2023-07-07T19:59:25.4848099Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4848199Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4848204Z 2023-07-07T19:59:25.4848451Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4848555Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4848560Z 2023-07-07T19:59:25.4848802Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4848928Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4848933Z 2023-07-07T19:59:25.4849241Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4849376Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4849381Z 2023-07-07T19:59:25.4849691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4849827Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4849832Z 2023-07-07T19:59:25.4850122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4850245Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4850250Z 2023-07-07T19:59:25.4850522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4850666Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4850674Z 2023-07-07T19:59:25.4850978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4851123Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4851128Z 2023-07-07T19:59:25.4851414Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4851548Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4851553Z 2023-07-07T19:59:25.4851834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4851920Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4851926Z 2023-07-07T19:59:25.4852230Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4852363Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4852405Z 2023-07-07T19:59:25.4852714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4852849Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4852854Z 2023-07-07T19:59:25.4853146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4853231Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4853236Z 2023-07-07T19:59:25.4853483Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4853583Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4853589Z 2023-07-07T19:59:25.4853843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4853928Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4853935Z 2023-07-07T19:59:25.4854236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4854370Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4854375Z 2023-07-07T19:59:25.4854711Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4854847Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4854852Z 2023-07-07T19:59:25.4855144Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4855256Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4855262Z 2023-07-07T19:59:25.4855566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4855712Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4855718Z 2023-07-07T19:59:25.4856019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4856174Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4856182Z 2023-07-07T19:59:25.4856464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4867118Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4867162Z 2023-07-07T19:59:25.4867570Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4867663Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4867677Z 2023-07-07T19:59:25.4868001Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4868146Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4868151Z 2023-07-07T19:59:25.4868476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4868607Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4868612Z 2023-07-07T19:59:25.4868911Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4869104Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4869111Z 2023-07-07T19:59:25.4869366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4869474Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4869482Z 2023-07-07T19:59:25.4869743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4869869Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4869873Z 2023-07-07T19:59:25.4870186Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4870324Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4870332Z 2023-07-07T19:59:25.4870651Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4870780Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4870786Z 2023-07-07T19:59:25.4871083Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4871217Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4871223Z 2023-07-07T19:59:25.4871501Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4871653Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4871659Z 2023-07-07T19:59:25.4871968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4872260Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4872267Z 2023-07-07T19:59:25.4872558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4872701Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4872707Z 2023-07-07T19:59:25.4872967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4873075Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4873079Z 2023-07-07T19:59:25.4873395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4873542Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4873547Z 2023-07-07T19:59:25.4873868Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4874009Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4874014Z 2023-07-07T19:59:25.4874314Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4874416Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4874422Z 2023-07-07T19:59:25.4874765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4874876Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4874884Z 2023-07-07T19:59:25.4875142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4875219Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4875224Z 2023-07-07T19:59:25.4875532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4875708Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4875715Z 2023-07-07T19:59:25.4876073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4876216Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4876222Z 2023-07-07T19:59:25.4876514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4876648Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4876682Z 2023-07-07T19:59:25.4876968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4877117Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4877123Z 2023-07-07T19:59:25.4877450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4877599Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4877619Z 2023-07-07T19:59:25.4877898Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4878037Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4878045Z 2023-07-07T19:59:25.4878300Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4878392Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4878397Z 2023-07-07T19:59:25.4878706Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4878840Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4878845Z 2023-07-07T19:59:25.4879192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4879333Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4879341Z 2023-07-07T19:59:25.4879636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4879725Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4879772Z 2023-07-07T19:59:25.4880010Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4880135Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4880140Z 2023-07-07T19:59:25.4880398Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4880486Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4880491Z 2023-07-07T19:59:25.4880804Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4880942Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4880947Z 2023-07-07T19:59:25.4881264Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4881402Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4881410Z 2023-07-07T19:59:25.4881704Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4881822Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4881842Z 2023-07-07T19:59:25.4882111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4882264Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4882270Z 2023-07-07T19:59:25.4882580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4882783Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4882789Z 2023-07-07T19:59:25.4883082Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4883225Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4883231Z 2023-07-07T19:59:25.4883491Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4883613Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4883618Z 2023-07-07T19:59:25.4883927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4884068Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4884073Z 2023-07-07T19:59:25.4884375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4884860Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4884867Z 2023-07-07T19:59:25.4885172Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4885277Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4885283Z 2023-07-07T19:59:25.4885539Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4885646Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4885652Z 2023-07-07T19:59:25.4885910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4886070Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4886077Z 2023-07-07T19:59:25.4886393Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4886533Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4886538Z 2023-07-07T19:59:25.4886840Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4887040Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4887046Z 2023-07-07T19:59:25.4887348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4887478Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4887484Z 2023-07-07T19:59:25.4887765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4887920Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4887925Z 2023-07-07T19:59:25.4888241Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4888402Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4888408Z 2023-07-07T19:59:25.4888695Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4888837Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4888844Z 2023-07-07T19:59:25.4889090Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4889179Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4889185Z 2023-07-07T19:59:25.4889495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4889635Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4889640Z 2023-07-07T19:59:25.4889997Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4890140Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4890145Z 2023-07-07T19:59:25.4890445Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4890589Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4890594Z 2023-07-07T19:59:25.4890850Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4890958Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4890963Z 2023-07-07T19:59:25.4891208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4891297Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4891302Z 2023-07-07T19:59:25.4891615Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4891753Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4891758Z 2023-07-07T19:59:25.4892071Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4892213Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4892221Z 2023-07-07T19:59:25.4892519Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4892651Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4892658Z 2023-07-07T19:59:25.4892971Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4893120Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4893125Z 2023-07-07T19:59:25.4893434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4893584Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4893622Z 2023-07-07T19:59:25.4893913Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4894053Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4894058Z 2023-07-07T19:59:25.4894317Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4894406Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4894411Z 2023-07-07T19:59:25.4894727Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4894864Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4894871Z 2023-07-07T19:59:25.4895182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4895323Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4895331Z 2023-07-07T19:59:25.4895625Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4895715Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4895720Z 2023-07-07T19:59:25.4895971Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4896076Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4896085Z 2023-07-07T19:59:25.4896345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4896432Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4896437Z 2023-07-07T19:59:25.4896799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4896939Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4896947Z 2023-07-07T19:59:25.4897262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4897440Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4897445Z 2023-07-07T19:59:25.4897739Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4897861Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4897866Z 2023-07-07T19:59:25.4898164Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4898318Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4898324Z 2023-07-07T19:59:25.4898649Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4898814Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4898820Z 2023-07-07T19:59:25.4899108Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4899247Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4899252Z 2023-07-07T19:59:25.4899510Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4899639Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4899648Z 2023-07-07T19:59:25.4899955Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4900081Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4900099Z 2023-07-07T19:59:25.4900398Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4900574Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4900582Z 2023-07-07T19:59:25.4900876Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4900980Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4900985Z 2023-07-07T19:59:25.4901237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4922035Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4922056Z 2023-07-07T19:59:25.4922424Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4922510Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4922516Z 2023-07-07T19:59:25.4922823Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4922949Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4922960Z 2023-07-07T19:59:25.4923262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4923394Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4923400Z 2023-07-07T19:59:25.4923687Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4923807Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4923813Z 2023-07-07T19:59:25.4924190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4924331Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4924337Z 2023-07-07T19:59:25.4924932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4925087Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4925170Z 2023-07-07T19:59:25.4925453Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4925581Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4925587Z 2023-07-07T19:59:25.4925832Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4925910Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4925914Z 2023-07-07T19:59:25.4926216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4926342Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4926347Z 2023-07-07T19:59:25.4926655Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4926786Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4926792Z 2023-07-07T19:59:25.4927075Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4927166Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4927172Z 2023-07-07T19:59:25.4927454Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4927552Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4927558Z 2023-07-07T19:59:25.4927803Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4927880Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4927885Z 2023-07-07T19:59:25.4928190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4928368Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4928375Z 2023-07-07T19:59:25.4928680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4928810Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4928816Z 2023-07-07T19:59:25.4929102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4929221Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4929227Z 2023-07-07T19:59:25.4929497Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4929635Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4929643Z 2023-07-07T19:59:25.4929938Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4930091Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4930096Z 2023-07-07T19:59:25.4930375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4930507Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4930513Z 2023-07-07T19:59:25.4930761Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4930839Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4930883Z 2023-07-07T19:59:25.4931185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4931315Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4931323Z 2023-07-07T19:59:25.4931622Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4931783Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4931789Z 2023-07-07T19:59:25.4932068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4932160Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4932166Z 2023-07-07T19:59:25.4932406Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4932504Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4932510Z 2023-07-07T19:59:25.4932757Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4932835Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4932842Z 2023-07-07T19:59:25.4933141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4933271Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4933277Z 2023-07-07T19:59:25.4933581Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4933747Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4933753Z 2023-07-07T19:59:25.4934036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4934161Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4934167Z 2023-07-07T19:59:25.4934436Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4934606Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4934611Z 2023-07-07T19:59:25.4934910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4935059Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4935065Z 2023-07-07T19:59:25.4935343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4935471Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4935477Z 2023-07-07T19:59:25.4935729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4935806Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4935811Z 2023-07-07T19:59:25.4936109Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4936233Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4936240Z 2023-07-07T19:59:25.4936546Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4936674Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4936680Z 2023-07-07T19:59:25.4936967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4937060Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4937066Z 2023-07-07T19:59:25.4937338Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4937434Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4937441Z 2023-07-07T19:59:25.4937689Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4937770Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4937807Z 2023-07-07T19:59:25.4938106Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4938230Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4938236Z 2023-07-07T19:59:25.4938542Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4938671Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4938677Z 2023-07-07T19:59:25.4938967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4939088Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4939094Z 2023-07-07T19:59:25.4939363Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4939501Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4939509Z 2023-07-07T19:59:25.4939802Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4939952Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4939958Z 2023-07-07T19:59:25.4940302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4940426Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4940434Z 2023-07-07T19:59:25.4940685Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4940764Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4940769Z 2023-07-07T19:59:25.4941101Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4941234Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4941239Z 2023-07-07T19:59:25.4941539Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4941667Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4941675Z 2023-07-07T19:59:25.4941962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4942053Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4942061Z 2023-07-07T19:59:25.4942302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4942392Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4942400Z 2023-07-07T19:59:25.4942648Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4942729Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4942734Z 2023-07-07T19:59:25.4943031Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4943157Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4943162Z 2023-07-07T19:59:25.4943468Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4943596Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4943631Z 2023-07-07T19:59:25.4943920Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4944042Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4944050Z 2023-07-07T19:59:25.4944319Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4944477Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4944490Z 2023-07-07T19:59:25.4944779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4944935Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4944941Z 2023-07-07T19:59:25.4945218Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4945350Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4945355Z 2023-07-07T19:59:25.4945607Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4945690Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4945695Z 2023-07-07T19:59:25.4945993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4946123Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4946128Z 2023-07-07T19:59:25.4946437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4946605Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4946619Z 2023-07-07T19:59:25.4946904Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4946998Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4947003Z 2023-07-07T19:59:25.4947249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4947378Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4947384Z 2023-07-07T19:59:25.4947635Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4947715Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4947721Z 2023-07-07T19:59:25.4948021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4948150Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4948156Z 2023-07-07T19:59:25.4948460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4948585Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4948599Z 2023-07-07T19:59:25.4948878Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4949003Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4949011Z 2023-07-07T19:59:25.4949281Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4949423Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4949430Z 2023-07-07T19:59:25.4949731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4949885Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4949891Z 2023-07-07T19:59:25.4950201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4950335Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4950340Z 2023-07-07T19:59:25.4950588Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4950672Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4950705Z 2023-07-07T19:59:25.4951000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4951131Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4951137Z 2023-07-07T19:59:25.4951442Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4951572Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4951578Z 2023-07-07T19:59:25.4951867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4951959Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4951964Z 2023-07-07T19:59:25.4952214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4952313Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4952319Z 2023-07-07T19:59:25.4952568Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4952649Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4952654Z 2023-07-07T19:59:25.4952977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4953108Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4953113Z 2023-07-07T19:59:25.4953418Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4953555Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4953560Z 2023-07-07T19:59:25.4953880Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4954002Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4954008Z 2023-07-07T19:59:25.4954273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4954418Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4954423Z 2023-07-07T19:59:25.4954832Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4954991Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4954998Z 2023-07-07T19:59:25.4955280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4955414Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4955422Z 2023-07-07T19:59:25.4955679Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4955765Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4955770Z 2023-07-07T19:59:25.4956077Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4956197Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4956217Z 2023-07-07T19:59:25.4956514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4956692Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4956698Z 2023-07-07T19:59:25.4956993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4957092Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4957098Z 2023-07-07T19:59:25.4957345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4957479Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4957484Z 2023-07-07T19:59:25.4957738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4957823Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4957828Z 2023-07-07T19:59:25.4958135Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4958254Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4958275Z 2023-07-07T19:59:25.4958569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4958703Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4958711Z 2023-07-07T19:59:25.4959002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4959130Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4959136Z 2023-07-07T19:59:25.4959413Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4959589Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4959595Z 2023-07-07T19:59:25.4959900Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4960061Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4960067Z 2023-07-07T19:59:25.4960348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4960501Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4960522Z 2023-07-07T19:59:25.4960766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4960851Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4960856Z 2023-07-07T19:59:25.4961160Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4961294Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4961299Z 2023-07-07T19:59:25.4961610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4961745Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4961752Z 2023-07-07T19:59:25.4962045Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4962146Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4962154Z 2023-07-07T19:59:25.4962401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4962492Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4962510Z 2023-07-07T19:59:25.4962752Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4962838Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4962843Z 2023-07-07T19:59:25.4963208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4963341Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4963347Z 2023-07-07T19:59:25.4963654Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4963792Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4963828Z 2023-07-07T19:59:25.4964119Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4964244Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4964250Z 2023-07-07T19:59:25.4964694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4964841Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4964847Z 2023-07-07T19:59:25.4965148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4965309Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4965315Z 2023-07-07T19:59:25.4965601Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4965737Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4965742Z 2023-07-07T19:59:25.4966000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4966088Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4966094Z 2023-07-07T19:59:25.4966479Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4966615Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4966620Z 2023-07-07T19:59:25.4966934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4967070Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4967119Z 2023-07-07T19:59:25.4967400Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4967501Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4967507Z 2023-07-07T19:59:25.4967752Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4967855Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4967862Z 2023-07-07T19:59:25.4968120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4968204Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4968209Z 2023-07-07T19:59:25.4968514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4968645Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4968650Z 2023-07-07T19:59:25.4968963Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4969101Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4969106Z 2023-07-07T19:59:25.4969384Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4969510Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4969517Z 2023-07-07T19:59:25.4969796Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4969979Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4969985Z 2023-07-07T19:59:25.4970288Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4970447Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4970455Z 2023-07-07T19:59:25.4970738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4970914Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4970920Z 2023-07-07T19:59:25.4971176Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4971263Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4971269Z 2023-07-07T19:59:25.4971561Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4971696Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4971702Z 2023-07-07T19:59:25.4972011Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4972153Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4972159Z 2023-07-07T19:59:25.4972456Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4972555Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4972560Z 2023-07-07T19:59:25.4972807Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4972943Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4972949Z 2023-07-07T19:59:25.4973205Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4973291Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4973296Z 2023-07-07T19:59:25.4973592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4973726Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4973764Z 2023-07-07T19:59:25.4974073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4974210Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4974216Z 2023-07-07T19:59:25.4974505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4974634Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4974640Z 2023-07-07T19:59:25.4974916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4975062Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4975068Z 2023-07-07T19:59:25.4975373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4975533Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4975540Z 2023-07-07T19:59:25.4975823Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4975946Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4975951Z 2023-07-07T19:59:25.4976208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4976293Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4976299Z 2023-07-07T19:59:25.4976638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4976772Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4976778Z 2023-07-07T19:59:25.4977088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4977226Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4977269Z 2023-07-07T19:59:25.4977561Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4977660Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4977666Z 2023-07-07T19:59:25.4977913Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4978001Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4978008Z 2023-07-07T19:59:25.4978266Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4978350Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4978355Z 2023-07-07T19:59:25.4978661Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4978796Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4978803Z 2023-07-07T19:59:25.4979111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4979247Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4979252Z 2023-07-07T19:59:25.4979576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4979703Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4979708Z 2023-07-07T19:59:25.4979984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4980116Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4980134Z 2023-07-07T19:59:25.4980459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4980621Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4980626Z 2023-07-07T19:59:25.4980910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4981045Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4981052Z 2023-07-07T19:59:25.4981307Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4981392Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4981397Z 2023-07-07T19:59:25.4981705Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4981837Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4981844Z 2023-07-07T19:59:25.4982153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4982277Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4982297Z 2023-07-07T19:59:25.4982576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4982674Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4982682Z 2023-07-07T19:59:25.4982930Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4983032Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4983071Z 2023-07-07T19:59:25.4983328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4983413Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4983418Z 2023-07-07T19:59:25.4983723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4983885Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4983891Z 2023-07-07T19:59:25.4984198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4984321Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4984341Z 2023-07-07T19:59:25.4984619Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4984745Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4984754Z 2023-07-07T19:59:25.4985026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4985169Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4985177Z 2023-07-07T19:59:25.4985481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4985639Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4985644Z 2023-07-07T19:59:25.4985928Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4986188Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4986194Z 2023-07-07T19:59:25.4986449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4986536Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4986541Z 2023-07-07T19:59:25.4986831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4986995Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4987001Z 2023-07-07T19:59:25.4987318Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4987452Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4987457Z 2023-07-07T19:59:25.4987752Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4987850Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4987855Z 2023-07-07T19:59:25.4988104Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4988207Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4988213Z 2023-07-07T19:59:25.4988470Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4988555Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4988560Z 2023-07-07T19:59:25.4988851Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4988985Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4988991Z 2023-07-07T19:59:25.4989301Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4989436Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4989442Z 2023-07-07T19:59:25.4989764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4989890Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4989895Z 2023-07-07T19:59:25.4990170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4990318Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4990378Z 2023-07-07T19:59:25.4990682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4990839Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4990844Z 2023-07-07T19:59:25.4991120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4991254Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4991259Z 2023-07-07T19:59:25.4991516Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4991601Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4991607Z 2023-07-07T19:59:25.4991910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4992043Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4992051Z 2023-07-07T19:59:25.4992427Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4992613Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4992618Z 2023-07-07T19:59:25.4992951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4993052Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4993057Z 2023-07-07T19:59:25.4993297Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4993399Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4993404Z 2023-07-07T19:59:25.4993658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4993781Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4993789Z 2023-07-07T19:59:25.4994095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4994226Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4994231Z 2023-07-07T19:59:25.4994622Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4994760Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4994765Z 2023-07-07T19:59:25.4995057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.4995182Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.4995190Z 2023-07-07T19:59:25.4995464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.4995598Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.4995603Z 2023-07-07T19:59:25.4995907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.4996065Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.4996071Z 2023-07-07T19:59:25.4996355Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.4996529Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.4996536Z 2023-07-07T19:59:25.4996788Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4996873Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4996881Z 2023-07-07T19:59:25.4997185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4997349Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4997355Z 2023-07-07T19:59:25.4997666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4997791Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4997796Z 2023-07-07T19:59:25.4998087Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.4998187Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.4998192Z 2023-07-07T19:59:25.4998441Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.4998547Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.4998556Z 2023-07-07T19:59:25.4998810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.4998896Z return fn(*args, **kwargs) 2023-07-07T19:59:25.4998902Z 2023-07-07T19:59:25.4999206Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.4999367Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.4999372Z 2023-07-07T19:59:25.4999684Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.4999809Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.4999815Z 2023-07-07T19:59:25.5000108Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5000260Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5000265Z 2023-07-07T19:59:25.5000546Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5000690Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5000696Z 2023-07-07T19:59:25.5001000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5001155Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5001161Z 2023-07-07T19:59:25.5001448Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5001582Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5001587Z 2023-07-07T19:59:25.5001843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5001918Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5001938Z 2023-07-07T19:59:25.5002230Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5002363Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5002368Z 2023-07-07T19:59:25.5002678Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5002813Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5002818Z 2023-07-07T19:59:25.5003147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5003246Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5003251Z 2023-07-07T19:59:25.5003498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5003602Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5003640Z 2023-07-07T19:59:25.5003893Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5003963Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5003968Z 2023-07-07T19:59:25.5004273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5004530Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5004541Z 2023-07-07T19:59:25.5004935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5005072Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5005077Z 2023-07-07T19:59:25.5005369Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5005496Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5005504Z 2023-07-07T19:59:25.5005781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5005925Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5005931Z 2023-07-07T19:59:25.5006302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5006451Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5006469Z 2023-07-07T19:59:25.5006742Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5006877Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5006920Z 2023-07-07T19:59:25.5007178Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5007265Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5007270Z 2023-07-07T19:59:25.5007576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5007709Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5007714Z 2023-07-07T19:59:25.5008026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5008161Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5008169Z 2023-07-07T19:59:25.5008460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5008556Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5008564Z 2023-07-07T19:59:25.5008799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5008904Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5008910Z 2023-07-07T19:59:25.5009159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5009244Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5009249Z 2023-07-07T19:59:25.5009556Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5009687Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5009693Z 2023-07-07T19:59:25.5010051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5010189Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5010197Z 2023-07-07T19:59:25.5010488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5010652Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5010658Z 2023-07-07T19:59:25.5010920Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5011068Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5011074Z 2023-07-07T19:59:25.5011375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5011534Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5011539Z 2023-07-07T19:59:25.5011824Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5011960Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5011966Z 2023-07-07T19:59:25.5012223Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5012308Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5012314Z 2023-07-07T19:59:25.5012616Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5012782Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5012788Z 2023-07-07T19:59:25.5013084Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5013223Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5013228Z 2023-07-07T19:59:25.5013520Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5013655Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5013660Z 2023-07-07T19:59:25.5013909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5014011Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5014017Z 2023-07-07T19:59:25.5014269Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5014355Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5014360Z 2023-07-07T19:59:25.5014664Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5014798Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5014803Z 2023-07-07T19:59:25.5015097Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5015233Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5015238Z 2023-07-07T19:59:25.5015530Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5015653Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5015658Z 2023-07-07T19:59:25.5015933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5016076Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5016082Z 2023-07-07T19:59:25.5016414Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5016574Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5016580Z 2023-07-07T19:59:25.5016863Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5016998Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5017031Z 2023-07-07T19:59:25.5017286Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5017357Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5017363Z 2023-07-07T19:59:25.5017669Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5017800Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5017805Z 2023-07-07T19:59:25.5018119Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5018254Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5018260Z 2023-07-07T19:59:25.5018555Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5018655Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5018661Z 2023-07-07T19:59:25.5018907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5019008Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5019014Z 2023-07-07T19:59:25.5019298Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5019371Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5019376Z 2023-07-07T19:59:25.5019683Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5019815Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5019820Z 2023-07-07T19:59:25.5020127Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5020293Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5020300Z 2023-07-07T19:59:25.5020589Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5020713Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5020719Z 2023-07-07T19:59:25.5020995Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5021139Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5021144Z 2023-07-07T19:59:25.5021450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5021594Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5021602Z 2023-07-07T19:59:25.5021884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5022020Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5022026Z 2023-07-07T19:59:25.5022279Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5022363Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5022368Z 2023-07-07T19:59:25.5022674Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5022807Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5022843Z 2023-07-07T19:59:25.5023153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5023289Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5023297Z 2023-07-07T19:59:25.5023590Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5023704Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5023722Z 2023-07-07T19:59:25.5023958Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5024059Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5024067Z 2023-07-07T19:59:25.5024321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5024404Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5024409Z 2023-07-07T19:59:25.5024718Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5024852Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5024859Z 2023-07-07T19:59:25.5025167Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5025309Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5025314Z 2023-07-07T19:59:25.5025611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5025753Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5025772Z 2023-07-07T19:59:25.5026036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5026182Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5026187Z 2023-07-07T19:59:25.5026489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5026677Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5026683Z 2023-07-07T19:59:25.5026967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5027102Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5027107Z 2023-07-07T19:59:25.5027361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5027447Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5027452Z 2023-07-07T19:59:25.5027758Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5027879Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5027897Z 2023-07-07T19:59:25.5028194Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5028333Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5028340Z 2023-07-07T19:59:25.5028632Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5028729Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5028735Z 2023-07-07T19:59:25.5028984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5029086Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5029091Z 2023-07-07T19:59:25.5029377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5029463Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5029468Z 2023-07-07T19:59:25.5029774Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5029896Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5029941Z 2023-07-07T19:59:25.5030236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5030371Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5030376Z 2023-07-07T19:59:25.5030671Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5030796Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5030801Z 2023-07-07T19:59:25.5031078Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5031221Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5031227Z 2023-07-07T19:59:25.5031533Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5031693Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5031700Z 2023-07-07T19:59:25.5031982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5032115Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5032120Z 2023-07-07T19:59:25.5032405Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5032491Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5032496Z 2023-07-07T19:59:25.5032805Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5032938Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5032943Z 2023-07-07T19:59:25.5033288Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5033425Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5033430Z 2023-07-07T19:59:25.5033718Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5033816Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5033821Z 2023-07-07T19:59:25.5034070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5034173Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5034178Z 2023-07-07T19:59:25.5034420Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5034611Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5034617Z 2023-07-07T19:59:25.5034927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5035066Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5035071Z 2023-07-07T19:59:25.5035382Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5035521Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5035526Z 2023-07-07T19:59:25.5035820Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5035945Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5035990Z 2023-07-07T19:59:25.5036267Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5036411Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5036419Z 2023-07-07T19:59:25.5036710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5036901Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5036907Z 2023-07-07T19:59:25.5037190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5037327Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5037332Z 2023-07-07T19:59:25.5037586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5037673Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5037678Z 2023-07-07T19:59:25.5037982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5038116Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5038123Z 2023-07-07T19:59:25.5038432Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5038569Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5038574Z 2023-07-07T19:59:25.5038865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5038977Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5038983Z 2023-07-07T19:59:25.5039235Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5039339Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5039344Z 2023-07-07T19:59:25.5039597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5039681Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5039718Z 2023-07-07T19:59:25.5040023Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5040157Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5040163Z 2023-07-07T19:59:25.5040471Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5040614Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5040619Z 2023-07-07T19:59:25.5040912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5041027Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5041032Z 2023-07-07T19:59:25.5041306Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5041452Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5041459Z 2023-07-07T19:59:25.5041760Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5041917Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5041922Z 2023-07-07T19:59:25.5042208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5042341Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5042347Z 2023-07-07T19:59:25.5042653Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5042740Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5042745Z 2023-07-07T19:59:25.5043049Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5043171Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5043203Z 2023-07-07T19:59:25.5043517Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5043652Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5043657Z 2023-07-07T19:59:25.5043953Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5044052Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5044057Z 2023-07-07T19:59:25.5044307Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5044526Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5044535Z 2023-07-07T19:59:25.5044916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5045063Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5045076Z 2023-07-07T19:59:25.5045612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5045822Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5045830Z 2023-07-07T19:59:25.5046450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5046691Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5046700Z 2023-07-07T19:59:25.5047214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5047425Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5047434Z 2023-07-07T19:59:25.5047916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5048205Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5048219Z 2023-07-07T19:59:25.5048746Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5049013Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5049022Z 2023-07-07T19:59:25.5049516Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5049728Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5049753Z 2023-07-07T19:59:25.5050188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5050327Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5050335Z 2023-07-07T19:59:25.5050792Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5050985Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5050993Z 2023-07-07T19:59:25.5051426Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5051625Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5051641Z 2023-07-07T19:59:25.5052094Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5052347Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5052360Z 2023-07-07T19:59:25.5052819Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5052976Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5053007Z 2023-07-07T19:59:25.5053354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5053570Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5053579Z 2023-07-07T19:59:25.5054121Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5054355Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5054363Z 2023-07-07T19:59:25.5054948Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5055197Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5055206Z 2023-07-07T19:59:25.5055755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5055983Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5055995Z 2023-07-07T19:59:25.5056504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5056711Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5056736Z 2023-07-07T19:59:25.5057163Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5057489Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5057499Z 2023-07-07T19:59:25.5057970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5058218Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5058233Z 2023-07-07T19:59:25.5058686Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5058901Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5058908Z 2023-07-07T19:59:25.5059380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5059586Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5059592Z 2023-07-07T19:59:25.5060041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5060240Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5060249Z 2023-07-07T19:59:25.5060651Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5060782Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5060789Z 2023-07-07T19:59:25.5061179Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5061333Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5061342Z 2023-07-07T19:59:25.5061836Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5061976Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5061985Z 2023-07-07T19:59:25.5062534Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5062771Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5062780Z 2023-07-07T19:59:25.5063474Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5063717Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5063726Z 2023-07-07T19:59:25.5064237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5064461Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5064538Z 2023-07-07T19:59:25.5065042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5065288Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5065297Z 2023-07-07T19:59:25.5065845Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5066112Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5066122Z 2023-07-07T19:59:25.5066633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5066872Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5066882Z 2023-07-07T19:59:25.5067315Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5067483Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5067513Z 2023-07-07T19:59:25.5067968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5068158Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5068166Z 2023-07-07T19:59:25.5068710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5068909Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5068918Z 2023-07-07T19:59:25.5069347Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5069565Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5069585Z 2023-07-07T19:59:25.5070310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5070480Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5070492Z 2023-07-07T19:59:25.5070954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5071154Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5071168Z 2023-07-07T19:59:25.5071704Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5071921Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5071933Z 2023-07-07T19:59:25.5072503Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5072743Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5072754Z 2023-07-07T19:59:25.5073275Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5073495Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5073504Z 2023-07-07T19:59:25.5073978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5074266Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5074276Z 2023-07-07T19:59:25.5074984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5075427Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5075438Z 2023-07-07T19:59:25.5075987Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5076231Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5076245Z 2023-07-07T19:59:25.5076710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5076899Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5076909Z 2023-07-07T19:59:25.5077610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5077841Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5077859Z 2023-07-07T19:59:25.5078499Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5078788Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5078799Z 2023-07-07T19:59:25.5079384Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5079580Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5079590Z 2023-07-07T19:59:25.5080070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5080248Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5080258Z 2023-07-07T19:59:25.5080755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5080910Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5081012Z 2023-07-07T19:59:25.5081567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5081788Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5081797Z 2023-07-07T19:59:25.5082341Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5082562Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5082657Z 2023-07-07T19:59:25.5083103Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5083326Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5083339Z 2023-07-07T19:59:25.5083829Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5084057Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5084068Z 2023-07-07T19:59:25.5084708Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5084895Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5084902Z 2023-07-07T19:59:25.5085347Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5085495Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5085503Z 2023-07-07T19:59:25.5085761Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5085845Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5085851Z 2023-07-07T19:59:25.5086158Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5086292Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5086297Z 2023-07-07T19:59:25.5086704Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5086829Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5086847Z 2023-07-07T19:59:25.5087126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5087226Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5087273Z 2023-07-07T19:59:25.5087521Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5087623Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5087629Z 2023-07-07T19:59:25.5087887Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5087970Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5087975Z 2023-07-07T19:59:25.5088282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5088417Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5088422Z 2023-07-07T19:59:25.5088734Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5088859Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5088879Z 2023-07-07T19:59:25.5089159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5089283Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5089288Z 2023-07-07T19:59:25.5089601Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5089748Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5089753Z 2023-07-07T19:59:25.5090060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5090216Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5090222Z 2023-07-07T19:59:25.5090541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5090678Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5090683Z 2023-07-07T19:59:25.5090940Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5091012Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5091032Z 2023-07-07T19:59:25.5091328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5091460Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5091466Z 2023-07-07T19:59:25.5091775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5091910Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5091918Z 2023-07-07T19:59:25.5092213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5092313Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5092318Z 2023-07-07T19:59:25.5092566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5092667Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5092673Z 2023-07-07T19:59:25.5092929Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5093000Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5093019Z 2023-07-07T19:59:25.5093341Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5093474Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5093480Z 2023-07-07T19:59:25.5093789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5093953Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5093958Z 2023-07-07T19:59:25.5094250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5094377Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5094385Z 2023-07-07T19:59:25.5094661Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5094805Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5094811Z 2023-07-07T19:59:25.5095116Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5095272Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5095279Z 2023-07-07T19:59:25.5095549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5095685Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5095690Z 2023-07-07T19:59:25.5095945Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5096067Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5096072Z 2023-07-07T19:59:25.5096379Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5096513Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5096519Z 2023-07-07T19:59:25.5096827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5096992Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5096998Z 2023-07-07T19:59:25.5097292Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5097388Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5097394Z 2023-07-07T19:59:25.5097631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5097734Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5097740Z 2023-07-07T19:59:25.5097993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5098079Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5098084Z 2023-07-07T19:59:25.5098386Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5098517Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5098524Z 2023-07-07T19:59:25.5098833Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5098969Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5098974Z 2023-07-07T19:59:25.5099264Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5099392Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5099397Z 2023-07-07T19:59:25.5099688Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5099833Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5099838Z 2023-07-07T19:59:25.5100139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5100297Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5100329Z 2023-07-07T19:59:25.5100612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5100744Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5100750Z 2023-07-07T19:59:25.5101006Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5101090Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5101095Z 2023-07-07T19:59:25.5101401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5101534Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5101539Z 2023-07-07T19:59:25.5101848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5101972Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5101980Z 2023-07-07T19:59:25.5102272Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5102368Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5102374Z 2023-07-07T19:59:25.5102647Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5102751Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5102757Z 2023-07-07T19:59:25.5103011Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5103095Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5103100Z 2023-07-07T19:59:25.5103402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5103571Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5103578Z 2023-07-07T19:59:25.5103889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5104011Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5104016Z 2023-07-07T19:59:25.5104310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5104436Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5104442Z 2023-07-07T19:59:25.5104721Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5104865Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5104871Z 2023-07-07T19:59:25.5105176Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5105336Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5105341Z 2023-07-07T19:59:25.5105623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5105757Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5105764Z 2023-07-07T19:59:25.5106021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5106092Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5106097Z 2023-07-07T19:59:25.5106439Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5106573Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5106580Z 2023-07-07T19:59:25.5106888Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5107056Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5107061Z 2023-07-07T19:59:25.5107352Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5107451Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5107457Z 2023-07-07T19:59:25.5107701Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5107804Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5107811Z 2023-07-07T19:59:25.5108064Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5108135Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5108142Z 2023-07-07T19:59:25.5108447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5108580Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5108585Z 2023-07-07T19:59:25.5108891Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5109054Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5109059Z 2023-07-07T19:59:25.5109350Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5109476Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5109481Z 2023-07-07T19:59:25.5109756Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5109900Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5109952Z 2023-07-07T19:59:25.5110257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5110402Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5110420Z 2023-07-07T19:59:25.5110691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5110826Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5110831Z 2023-07-07T19:59:25.5111089Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5111173Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5111178Z 2023-07-07T19:59:25.5111481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5111615Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5111623Z 2023-07-07T19:59:25.5111932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5112066Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5112072Z 2023-07-07T19:59:25.5112366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5112451Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5112470Z 2023-07-07T19:59:25.5112736Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5112840Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5112845Z 2023-07-07T19:59:25.5113099Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5113185Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5113190Z 2023-07-07T19:59:25.5113495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5113659Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5113664Z 2023-07-07T19:59:25.5113972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5114107Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5114112Z 2023-07-07T19:59:25.5114404Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5114597Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5114618Z 2023-07-07T19:59:25.5114885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5115033Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5115041Z 2023-07-07T19:59:25.5115344Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5115502Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5115507Z 2023-07-07T19:59:25.5115827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5115966Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5115972Z 2023-07-07T19:59:25.5116228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5116314Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5116319Z 2023-07-07T19:59:25.5116623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5116787Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5116792Z 2023-07-07T19:59:25.5117086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5117222Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5117227Z 2023-07-07T19:59:25.5117518Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5117616Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5117621Z 2023-07-07T19:59:25.5117869Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5117972Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5117977Z 2023-07-07T19:59:25.5118233Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5118319Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5118324Z 2023-07-07T19:59:25.5118627Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5118787Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5118792Z 2023-07-07T19:59:25.5119089Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5119225Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5119230Z 2023-07-07T19:59:25.5119560Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5119688Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5119696Z 2023-07-07T19:59:25.5119968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5120143Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5120148Z 2023-07-07T19:59:25.5120451Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5120612Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5120617Z 2023-07-07T19:59:25.5120899Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5121036Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5121041Z 2023-07-07T19:59:25.5121282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5121366Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5121374Z 2023-07-07T19:59:25.5121682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5121816Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5121821Z 2023-07-07T19:59:25.5122129Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5122300Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5122306Z 2023-07-07T19:59:25.5122598Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5122698Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5122704Z 2023-07-07T19:59:25.5122951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5123086Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5123092Z 2023-07-07T19:59:25.5123333Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5123418Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5123423Z 2023-07-07T19:59:25.5123726Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5123860Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5123865Z 2023-07-07T19:59:25.5124175Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5124316Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5124322Z 2023-07-07T19:59:25.5124821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5124951Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5124957Z 2023-07-07T19:59:25.5125235Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5125380Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5125386Z 2023-07-07T19:59:25.5125694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5125839Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5125844Z 2023-07-07T19:59:25.5126188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5126327Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5126332Z 2023-07-07T19:59:25.5126588Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5126675Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5126721Z 2023-07-07T19:59:25.5127026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5127158Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5127164Z 2023-07-07T19:59:25.5127473Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5127608Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5127614Z 2023-07-07T19:59:25.5127907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5127992Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5127997Z 2023-07-07T19:59:25.5128243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5128347Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5128354Z 2023-07-07T19:59:25.5128608Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5128693Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5128699Z 2023-07-07T19:59:25.5129044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5129178Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5129183Z 2023-07-07T19:59:25.5129494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5129617Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5129636Z 2023-07-07T19:59:25.5129909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5130074Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5130081Z 2023-07-07T19:59:25.5130357Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5130500Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5130505Z 2023-07-07T19:59:25.5130810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5130967Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5130973Z 2023-07-07T19:59:25.5131256Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5131389Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5131397Z 2023-07-07T19:59:25.5131652Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5131738Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5131743Z 2023-07-07T19:59:25.5132035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5132170Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5132175Z 2023-07-07T19:59:25.5132483Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5132648Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5132654Z 2023-07-07T19:59:25.5132945Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5133044Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5133052Z 2023-07-07T19:59:25.5133298Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5133428Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5133434Z 2023-07-07T19:59:25.5133688Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5133771Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5133776Z 2023-07-07T19:59:25.5134070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5134200Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5134205Z 2023-07-07T19:59:25.5134513Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5134647Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5134654Z 2023-07-07T19:59:25.5134945Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5135072Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5135077Z 2023-07-07T19:59:25.5135351Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5135526Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5135533Z 2023-07-07T19:59:25.5135835Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5135995Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5136001Z 2023-07-07T19:59:25.5136269Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5136433Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5136439Z 2023-07-07T19:59:25.5136695Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5136779Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5136784Z 2023-07-07T19:59:25.5137091Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5137225Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5137230Z 2023-07-07T19:59:25.5137539Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5137675Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5137680Z 2023-07-07T19:59:25.5137973Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5138073Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5138080Z 2023-07-07T19:59:25.5138325Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5138413Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5138418Z 2023-07-07T19:59:25.5138672Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5138759Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5138764Z 2023-07-07T19:59:25.5139066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5139232Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5139238Z 2023-07-07T19:59:25.5139544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5139682Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5139714Z 2023-07-07T19:59:25.5140005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5140128Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5140133Z 2023-07-07T19:59:25.5140408Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5140541Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5140547Z 2023-07-07T19:59:25.5140848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5141003Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5141009Z 2023-07-07T19:59:25.5141288Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5141424Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5141432Z 2023-07-07T19:59:25.5141686Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5141769Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5141774Z 2023-07-07T19:59:25.5142117Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5142248Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5142253Z 2023-07-07T19:59:25.5142562Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5142683Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5142689Z 2023-07-07T19:59:25.5143008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5143106Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5143112Z 2023-07-07T19:59:25.5143356Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5143457Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5143462Z 2023-07-07T19:59:25.5143715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5143798Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5143803Z 2023-07-07T19:59:25.5144105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5144298Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5144305Z 2023-07-07T19:59:25.5144665Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5144791Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5144797Z 2023-07-07T19:59:25.5145088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5145212Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5145218Z 2023-07-07T19:59:25.5145495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5145637Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5145642Z 2023-07-07T19:59:25.5145938Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T19:59:25.5146066Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.5146073Z 2023-07-07T19:59:25.5146340Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T19:59:25.5146492Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.5146497Z 2023-07-07T19:59:25.5146786Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 60, in increase_prec 2023-07-07T19:59:25.5146869Z return x.to(computation_dtype) 2023-07-07T19:59:25.5146874Z 2023-07-07T19:59:25.5147128Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5147213Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5147218Z 2023-07-07T19:59:25.5147527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5147658Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5147663Z 2023-07-07T19:59:25.5147972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5148111Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5148116Z 2023-07-07T19:59:25.5148405Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 256, in proxy_call 2023-07-07T19:59:25.5148594Z if not pytree.tree_all_only(torch.Tensor, can_handle_tensor, (args, kwargs)): 2023-07-07T19:59:25.5148600Z 2023-07-07T19:59:25.5148869Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 416, in tree_all_only 2023-07-07T19:59:25.5148954Z flat_args, _ = tree_flatten(pytree) 2023-07-07T19:59:25.5148975Z 2023-07-07T19:59:25.5149227Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 274, in tree_flatten 2023-07-07T19:59:25.5149307Z if _is_leaf(pytree): 2023-07-07T19:59:25.5149340Z 2023-07-07T19:59:25.5149599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 233, in _is_leaf 2023-07-07T19:59:25.5149729Z return _get_node_type(pytree) not in SUPPORTED_NODES 2023-07-07T19:59:25.5149735Z 2023-07-07T19:59:25.5149855Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.5149860Z 2023-07-07T19:59:25.5150116Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.5150235Z Original traceback: 2023-07-07T19:59:25.5150374Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.5150475Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.5150496Z 2023-07-07T19:59:25.5150500Z 2023-07-07T19:59:25.5150549Z ``` 2023-07-07T19:59:25.5150624Z XFAIL [0.1559s] [ 83%] 2023-07-07T19:59:25.5151134Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool2d_cpu_uint8 [2023-07-07 19:58:11,811] torch.onnx: [ERROR] Running Decompose pass. Raised from: 2023-07-07T19:59:25.5151261Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.5151267Z 2023-07-07T19:59:25.5151507Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.5151585Z Original traceback: 2023-07-07T19:59:25.5151715Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.5151826Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.5151831Z 2023-07-07T19:59:25.5152084Z [2023-07-07 19:58:11,811] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T19:59:25.5152293Z - self: 2023-07-07T19:59:25.5152402Z - args: 2023-07-07T19:59:25.5152475Z ### Exception log 2023-07-07T19:59:25.5152538Z ``` 2023-07-07T19:59:25.5152637Z Traceback (most recent call last): 2023-07-07T19:59:25.5152643Z 2023-07-07T19:59:25.5152956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T19:59:25.5153078Z return_values = fn(*args, **kwargs) 2023-07-07T19:59:25.5153083Z 2023-07-07T19:59:25.5153339Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T19:59:25.5153433Z module = self._run(*args, **kwargs) 2023-07-07T19:59:25.5153438Z 2023-07-07T19:59:25.5153644Z File "<@beartype(torch.onnx._internal.fx.passes.decomp.Decompose._run) at 0x7fa2dc38db80>", line 10, in _run 2023-07-07T19:59:25.5153649Z 2023-07-07T19:59:25.5153933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/decomp.py", line 52, in _run 2023-07-07T19:59:25.5154046Z decomposed_module = proxy_tensor.make_fx( 2023-07-07T19:59:25.5154052Z 2023-07-07T19:59:25.5154342Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T19:59:25.5154626Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T19:59:25.5154633Z 2023-07-07T19:59:25.5154902Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T19:59:25.5155101Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T19:59:25.5155158Z 2023-07-07T19:59:25.5155494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.5155580Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5155588Z 2023-07-07T19:59:25.5155844Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.5155930Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5155934Z 2023-07-07T19:59:25.5156279Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T19:59:25.5156392Z graph = tracer.trace(root, concrete_args) 2023-07-07T19:59:25.5156398Z 2023-07-07T19:59:25.5156657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T19:59:25.5156741Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5156746Z 2023-07-07T19:59:25.5157017Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T19:59:25.5157101Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5157107Z 2023-07-07T19:59:25.5157375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T19:59:25.5157454Z (self.create_arg(fn(*args)),), 2023-07-07T19:59:25.5157473Z 2023-07-07T19:59:25.5157749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T19:59:25.5157827Z out = f(*tensors) 2023-07-07T19:59:25.5157834Z 2023-07-07T19:59:25.5157924Z File "", line 1, in 2023-07-07T19:59:25.5157930Z 2023-07-07T19:59:25.5158216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/_utils.py", line 30, in wrapped 2023-07-07T19:59:25.5158348Z return torch.fx.Interpreter(graph_module).run(*args) 2023-07-07T19:59:25.5158353Z 2023-07-07T19:59:25.5158611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 138, in run 2023-07-07T19:59:25.5158710Z self.env[node] = self.run_node(node) 2023-07-07T19:59:25.5158716Z 2023-07-07T19:59:25.5159012Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 195, in run_node 2023-07-07T19:59:25.5159134Z return getattr(self, n.op)(n.target, args, kwargs) 2023-07-07T19:59:25.5159140Z 2023-07-07T19:59:25.5159400Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/interpreter.py", line 267, in call_function 2023-07-07T19:59:25.5159526Z return target(*args, **kwargs) 2023-07-07T19:59:25.5159531Z 2023-07-07T19:59:25.5159813Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5159946Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5159952Z 2023-07-07T19:59:25.5160209Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5160291Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5160297Z 2023-07-07T19:59:25.5160605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5160739Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5160744Z 2023-07-07T19:59:25.5161052Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5161193Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5161198Z 2023-07-07T19:59:25.5161476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5161602Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5161608Z 2023-07-07T19:59:25.5161947Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5162094Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5162102Z 2023-07-07T19:59:25.5162404Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5162562Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5162602Z 2023-07-07T19:59:25.5162885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5163020Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5163026Z 2023-07-07T19:59:25.5163282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5163369Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5163377Z 2023-07-07T19:59:25.5163670Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5163807Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5163813Z 2023-07-07T19:59:25.5164123Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5164259Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5164267Z 2023-07-07T19:59:25.5164798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5164902Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5164908Z 2023-07-07T19:59:25.5165158Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5165263Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5165268Z 2023-07-07T19:59:25.5165522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5165605Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5165690Z 2023-07-07T19:59:25.5165984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5166116Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5166124Z 2023-07-07T19:59:25.5166432Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5166607Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5166612Z 2023-07-07T19:59:25.5166906Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5167034Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5167040Z 2023-07-07T19:59:25.5167315Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5167460Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5167466Z 2023-07-07T19:59:25.5167766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5167926Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5167933Z 2023-07-07T19:59:25.5168215Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5168335Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5168340Z 2023-07-07T19:59:25.5168634Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5168720Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5168725Z 2023-07-07T19:59:25.5169029Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5169162Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5169167Z 2023-07-07T19:59:25.5169477Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5169653Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5169660Z 2023-07-07T19:59:25.5169954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5170053Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5170058Z 2023-07-07T19:59:25.5170308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5170397Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5170403Z 2023-07-07T19:59:25.5170658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5170741Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5170746Z 2023-07-07T19:59:25.5171048Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5171183Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5171190Z 2023-07-07T19:59:25.5171499Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5171635Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5171641Z 2023-07-07T19:59:25.5171933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5172057Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5172062Z 2023-07-07T19:59:25.5172366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5172499Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5172517Z 2023-07-07T19:59:25.5172807Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5172996Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5173001Z 2023-07-07T19:59:25.5173280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5173414Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5173420Z 2023-07-07T19:59:25.5173676Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5173760Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5173765Z 2023-07-07T19:59:25.5174071Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5174203Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5174209Z 2023-07-07T19:59:25.5174519Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5174645Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5174662Z 2023-07-07T19:59:25.5174943Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5175039Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5175073Z 2023-07-07T19:59:25.5175319Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5175421Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5175426Z 2023-07-07T19:59:25.5175681Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5175764Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5175770Z 2023-07-07T19:59:25.5176071Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5176236Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5176241Z 2023-07-07T19:59:25.5176548Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5176671Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5176691Z 2023-07-07T19:59:25.5176967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5177090Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5177098Z 2023-07-07T19:59:25.5177369Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5177512Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5177521Z 2023-07-07T19:59:25.5177821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5177978Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5177984Z 2023-07-07T19:59:25.5178268Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5178403Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5178409Z 2023-07-07T19:59:25.5178665Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5178774Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5178780Z 2023-07-07T19:59:25.5179073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5179211Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5179216Z 2023-07-07T19:59:25.5179526Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5179694Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5179699Z 2023-07-07T19:59:25.5179992Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5180090Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5180096Z 2023-07-07T19:59:25.5180341Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5180444Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5180450Z 2023-07-07T19:59:25.5180703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5180791Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5180796Z 2023-07-07T19:59:25.5181088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5181223Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5181228Z 2023-07-07T19:59:25.5181536Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5181696Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5181702Z 2023-07-07T19:59:25.5181999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5182125Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5182131Z 2023-07-07T19:59:25.5182403Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5182575Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5182583Z 2023-07-07T19:59:25.5182885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5183044Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5183049Z 2023-07-07T19:59:25.5183321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5183455Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5183460Z 2023-07-07T19:59:25.5183718Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5183804Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5183809Z 2023-07-07T19:59:25.5184115Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5184248Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5184255Z 2023-07-07T19:59:25.5184566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5184703Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5184708Z 2023-07-07T19:59:25.5185002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5185099Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5185105Z 2023-07-07T19:59:25.5185373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5185476Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5185482Z 2023-07-07T19:59:25.5185737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5185823Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5185856Z 2023-07-07T19:59:25.5186160Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5186291Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5186296Z 2023-07-07T19:59:25.5186605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5186739Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5186745Z 2023-07-07T19:59:25.5187036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5187160Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5187166Z 2023-07-07T19:59:25.5187440Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5187574Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5187580Z 2023-07-07T19:59:25.5187881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5188039Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5188085Z 2023-07-07T19:59:25.5188369Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5188504Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5188512Z 2023-07-07T19:59:25.5188764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5188850Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5188883Z 2023-07-07T19:59:25.5189185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5189319Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5189325Z 2023-07-07T19:59:25.5189633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5189758Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5189764Z 2023-07-07T19:59:25.5190057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5190157Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5190162Z 2023-07-07T19:59:25.5190409Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5190511Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5190519Z 2023-07-07T19:59:25.5190771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5190857Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5190862Z 2023-07-07T19:59:25.5191163Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5191295Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5191302Z 2023-07-07T19:59:25.5191610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5191759Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5191765Z 2023-07-07T19:59:25.5192056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5192181Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5192189Z 2023-07-07T19:59:25.5192465Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5192639Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5192645Z 2023-07-07T19:59:25.5192947Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5193106Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5193111Z 2023-07-07T19:59:25.5193396Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5193530Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5193535Z 2023-07-07T19:59:25.5193789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5193863Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5193881Z 2023-07-07T19:59:25.5194175Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5194306Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5194311Z 2023-07-07T19:59:25.5194740Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5194881Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5194886Z 2023-07-07T19:59:25.5195185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5195283Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5195289Z 2023-07-07T19:59:25.5195538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5195672Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5195680Z 2023-07-07T19:59:25.5195934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5196006Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5196010Z 2023-07-07T19:59:25.5196312Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5196447Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5196452Z 2023-07-07T19:59:25.5196766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5196902Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5196907Z 2023-07-07T19:59:25.5197200Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5197328Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5197336Z 2023-07-07T19:59:25.5197612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5197756Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5197761Z 2023-07-07T19:59:25.5198064Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5198208Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5198227Z 2023-07-07T19:59:25.5198528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5198664Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5198669Z 2023-07-07T19:59:25.5198925Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5199040Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5199045Z 2023-07-07T19:59:25.5199349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5199481Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5199486Z 2023-07-07T19:59:25.5199794Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5199929Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5199934Z 2023-07-07T19:59:25.5200226Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5200323Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5200330Z 2023-07-07T19:59:25.5200563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5200669Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5200674Z 2023-07-07T19:59:25.5200926Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5201014Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5201018Z 2023-07-07T19:59:25.5201356Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5201491Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5201496Z 2023-07-07T19:59:25.5201804Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5201939Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5201976Z 2023-07-07T19:59:25.5202269Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5202396Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5202402Z 2023-07-07T19:59:25.5202664Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5202808Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5202815Z 2023-07-07T19:59:25.5203115Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5203274Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5203279Z 2023-07-07T19:59:25.5203560Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5203693Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5203701Z 2023-07-07T19:59:25.5203957Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5204042Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5204048Z 2023-07-07T19:59:25.5204352Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5204673Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5204681Z 2023-07-07T19:59:25.5204983Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5205176Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5205181Z 2023-07-07T19:59:25.5205473Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5205573Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5205578Z 2023-07-07T19:59:25.5205825Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5205965Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5205971Z 2023-07-07T19:59:25.5206225Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5206309Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5206316Z 2023-07-07T19:59:25.5206621Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5206757Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5206762Z 2023-07-07T19:59:25.5207059Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5207197Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5207202Z 2023-07-07T19:59:25.5207494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5207621Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5207626Z 2023-07-07T19:59:25.5207901Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5208081Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5208087Z 2023-07-07T19:59:25.5208395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5208552Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5208557Z 2023-07-07T19:59:25.5208840Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5209015Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5209022Z 2023-07-07T19:59:25.5209276Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5209348Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5209353Z 2023-07-07T19:59:25.5209659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5209791Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5209796Z 2023-07-07T19:59:25.5210105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5210239Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5210245Z 2023-07-07T19:59:25.5210536Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5210634Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5210642Z 2023-07-07T19:59:25.5210887Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5210989Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5210994Z 2023-07-07T19:59:25.5211248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5211319Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5211324Z 2023-07-07T19:59:25.5211674Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5211807Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5211812Z 2023-07-07T19:59:25.5212119Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5212255Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5212322Z 2023-07-07T19:59:25.5212611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5212736Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5212742Z 2023-07-07T19:59:25.5213017Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5213163Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5213168Z 2023-07-07T19:59:25.5213473Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5213617Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5213624Z 2023-07-07T19:59:25.5213908Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5214043Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5214048Z 2023-07-07T19:59:25.5214305Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5214390Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5214396Z 2023-07-07T19:59:25.5214731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5214865Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5214871Z 2023-07-07T19:59:25.5215183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5215320Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5215354Z 2023-07-07T19:59:25.5215646Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5215733Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5215751Z 2023-07-07T19:59:25.5215986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5216087Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5216093Z 2023-07-07T19:59:25.5216349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5216432Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5216438Z 2023-07-07T19:59:25.5216744Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5216877Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5216884Z 2023-07-07T19:59:25.5217190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5217326Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5217331Z 2023-07-07T19:59:25.5217621Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5217734Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5217751Z 2023-07-07T19:59:25.5218013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5218192Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5218198Z 2023-07-07T19:59:25.5218504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5218663Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5218669Z 2023-07-07T19:59:25.5218982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5219117Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5219122Z 2023-07-07T19:59:25.5219376Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5219462Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5219467Z 2023-07-07T19:59:25.5219772Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5219895Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5219913Z 2023-07-07T19:59:25.5220213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5220350Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5220357Z 2023-07-07T19:59:25.5220645Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5220743Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5220749Z 2023-07-07T19:59:25.5220993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5221124Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5221129Z 2023-07-07T19:59:25.5221385Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5221471Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5221476Z 2023-07-07T19:59:25.5221783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5221932Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5221950Z 2023-07-07T19:59:25.5222244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5222379Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5222384Z 2023-07-07T19:59:25.5222676Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5222800Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5222805Z 2023-07-07T19:59:25.5223081Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5223224Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5223229Z 2023-07-07T19:59:25.5223529Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5223688Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5223695Z 2023-07-07T19:59:25.5223976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5224108Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5224113Z 2023-07-07T19:59:25.5224358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5224443Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5224448Z 2023-07-07T19:59:25.5224781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5224916Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5224921Z 2023-07-07T19:59:25.5225230Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5225393Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5225398Z 2023-07-07T19:59:25.5225690Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5225786Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5225791Z 2023-07-07T19:59:25.5226039Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5226140Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5226145Z 2023-07-07T19:59:25.5226388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5226471Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5226475Z 2023-07-07T19:59:25.5226780Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5226913Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5226921Z 2023-07-07T19:59:25.5227226Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5227360Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5227366Z 2023-07-07T19:59:25.5227687Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5227813Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5227818Z 2023-07-07T19:59:25.5228091Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5228235Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5228274Z 2023-07-07T19:59:25.5228567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5228727Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5228733Z 2023-07-07T19:59:25.5229016Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5229153Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5229158Z 2023-07-07T19:59:25.5229411Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5229494Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5229501Z 2023-07-07T19:59:25.5229805Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5229939Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5229947Z 2023-07-07T19:59:25.5230252Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5230390Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5230396Z 2023-07-07T19:59:25.5230688Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5230775Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5230781Z 2023-07-07T19:59:25.5231026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5231154Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5231161Z 2023-07-07T19:59:25.5231416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5231499Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5231507Z 2023-07-07T19:59:25.5231810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5231980Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5231985Z 2023-07-07T19:59:25.5232290Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5232427Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5232432Z 2023-07-07T19:59:25.5232725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5232839Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5232844Z 2023-07-07T19:59:25.5233118Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5233265Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5233270Z 2023-07-07T19:59:25.5233572Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5233730Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5233735Z 2023-07-07T19:59:25.5234054Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5234189Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5234194Z 2023-07-07T19:59:25.5234537Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5234624Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5234629Z 2023-07-07T19:59:25.5234940Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5235099Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5235106Z 2023-07-07T19:59:25.5235415Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5235551Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5235556Z 2023-07-07T19:59:25.5235846Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5235945Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5235950Z 2023-07-07T19:59:25.5236198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5236300Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5236305Z 2023-07-07T19:59:25.5236558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5236644Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5236650Z 2023-07-07T19:59:25.5236955Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5237075Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5237080Z 2023-07-07T19:59:25.5237389Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5237524Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5237529Z 2023-07-07T19:59:25.5237851Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5237979Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5237984Z 2023-07-07T19:59:25.5238257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5238404Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5238437Z 2023-07-07T19:59:25.5238737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5238892Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5238897Z 2023-07-07T19:59:25.5239182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5239303Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5239321Z 2023-07-07T19:59:25.5239566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5239649Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5239655Z 2023-07-07T19:59:25.5239956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5240094Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5240100Z 2023-07-07T19:59:25.5240410Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5240544Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5240579Z 2023-07-07T19:59:25.5240871Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5240968Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5240975Z 2023-07-07T19:59:25.5241222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5241309Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5241327Z 2023-07-07T19:59:25.5241596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5241681Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5241686Z 2023-07-07T19:59:25.5241989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5242121Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5242126Z 2023-07-07T19:59:25.5242439Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5242575Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5242582Z 2023-07-07T19:59:25.5242875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5242999Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5243007Z 2023-07-07T19:59:25.5243283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5243415Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5243433Z 2023-07-07T19:59:25.5243723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5243884Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5243889Z 2023-07-07T19:59:25.5244171Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5244335Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5244340Z 2023-07-07T19:59:25.5244791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5244880Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5244885Z 2023-07-07T19:59:25.5245191Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5245384Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5245389Z 2023-07-07T19:59:25.5245701Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5245839Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5245844Z 2023-07-07T19:59:25.5246125Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5246223Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5246229Z 2023-07-07T19:59:25.5246475Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5246581Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5246586Z 2023-07-07T19:59:25.5246843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5246929Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5246935Z 2023-07-07T19:59:25.5247240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5247406Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5247411Z 2023-07-07T19:59:25.5247723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5247860Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5247865Z 2023-07-07T19:59:25.5248142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5248304Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5248310Z 2023-07-07T19:59:25.5248585Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5248731Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5248736Z 2023-07-07T19:59:25.5249042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5249199Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5249205Z 2023-07-07T19:59:25.5249488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5249623Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5249628Z 2023-07-07T19:59:25.5249884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5249971Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5249978Z 2023-07-07T19:59:25.5250270Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5250403Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5250408Z 2023-07-07T19:59:25.5250726Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5250928Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5250939Z 2023-07-07T19:59:25.5251283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5251382Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5251387Z 2023-07-07T19:59:25.5251638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5251743Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5251778Z 2023-07-07T19:59:25.5252032Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5252116Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5252121Z 2023-07-07T19:59:25.5252416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5252549Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5252554Z 2023-07-07T19:59:25.5252864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5252998Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5253004Z 2023-07-07T19:59:25.5253294Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5253423Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5253429Z 2023-07-07T19:59:25.5253703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5253847Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5253853Z 2023-07-07T19:59:25.5254184Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5254343Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5254351Z 2023-07-07T19:59:25.5254635Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5254758Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5254797Z 2023-07-07T19:59:25.5255052Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5255138Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5255144Z 2023-07-07T19:59:25.5255449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5255582Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5255589Z 2023-07-07T19:59:25.5255900Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5256037Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5256043Z 2023-07-07T19:59:25.5256334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5256432Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5256440Z 2023-07-07T19:59:25.5256689Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5256779Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5256785Z 2023-07-07T19:59:25.5257039Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5257123Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5257128Z 2023-07-07T19:59:25.5257433Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5257565Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5257614Z 2023-07-07T19:59:25.5257925Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5258061Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5258069Z 2023-07-07T19:59:25.5258357Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5258511Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5258517Z 2023-07-07T19:59:25.5258791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5258923Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5258929Z 2023-07-07T19:59:25.5259231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5259389Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5259395Z 2023-07-07T19:59:25.5259680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5259816Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5259824Z 2023-07-07T19:59:25.5260079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5260164Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5260170Z 2023-07-07T19:59:25.5260476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5260641Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5260647Z 2023-07-07T19:59:25.5260959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5261081Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5261099Z 2023-07-07T19:59:25.5261378Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5261511Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5261519Z 2023-07-07T19:59:25.5261765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5261866Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5261872Z 2023-07-07T19:59:25.5262130Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5262215Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5262220Z 2023-07-07T19:59:25.5262522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5262655Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5262660Z 2023-07-07T19:59:25.5262967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5263092Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5263115Z 2023-07-07T19:59:25.5263392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5263517Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5263522Z 2023-07-07T19:59:25.5263798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5263942Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5263948Z 2023-07-07T19:59:25.5264317Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5264475Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5264481Z 2023-07-07T19:59:25.5264763Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5264929Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5264934Z 2023-07-07T19:59:25.5265188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5265258Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5265276Z 2023-07-07T19:59:25.5265570Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5265702Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5265707Z 2023-07-07T19:59:25.5266016Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5266152Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5266160Z 2023-07-07T19:59:25.5266452Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5266551Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5266556Z 2023-07-07T19:59:25.5266803Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5266905Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5266910Z 2023-07-07T19:59:25.5267212Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5267286Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5267304Z 2023-07-07T19:59:25.5267597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5267728Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5267733Z 2023-07-07T19:59:25.5268042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5268209Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5268215Z 2023-07-07T19:59:25.5268504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5268628Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5268634Z 2023-07-07T19:59:25.5268912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5269056Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5269063Z 2023-07-07T19:59:25.5269365Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5269523Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5269530Z 2023-07-07T19:59:25.5269801Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5269936Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5269941Z 2023-07-07T19:59:25.5270195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5270279Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5270287Z 2023-07-07T19:59:25.5270593Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5270755Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5270761Z 2023-07-07T19:59:25.5271069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5271205Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5271211Z 2023-07-07T19:59:25.5271500Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5271626Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5271631Z 2023-07-07T19:59:25.5271865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5271969Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5271974Z 2023-07-07T19:59:25.5272225Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5272308Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5272315Z 2023-07-07T19:59:25.5272615Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5272746Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5272754Z 2023-07-07T19:59:25.5273060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5273199Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5273204Z 2023-07-07T19:59:25.5273494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5273647Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5273654Z 2023-07-07T19:59:25.5273918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5274065Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5274070Z 2023-07-07T19:59:25.5274371Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5274636Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5274646Z 2023-07-07T19:59:25.5274932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5275065Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5275071Z 2023-07-07T19:59:25.5275328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5275412Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5275418Z 2023-07-07T19:59:25.5275722Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5275855Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5275860Z 2023-07-07T19:59:25.5276168Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5276293Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5276300Z 2023-07-07T19:59:25.5276592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5276688Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5276694Z 2023-07-07T19:59:25.5276941Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5277043Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5277048Z 2023-07-07T19:59:25.5277338Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5277424Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5277429Z 2023-07-07T19:59:25.5277738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5277871Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5277904Z 2023-07-07T19:59:25.5278213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5278335Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5278341Z 2023-07-07T19:59:25.5278631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5278755Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5278761Z 2023-07-07T19:59:25.5279034Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5279177Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5279182Z 2023-07-07T19:59:25.5279482Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5279641Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5279646Z 2023-07-07T19:59:25.5279928Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5280062Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5280068Z 2023-07-07T19:59:25.5280358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5280431Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5280436Z 2023-07-07T19:59:25.5280741Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5280873Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5280907Z 2023-07-07T19:59:25.5281219Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5281355Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5281360Z 2023-07-07T19:59:25.5281651Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5281748Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5281756Z 2023-07-07T19:59:25.5282005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5282105Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5282111Z 2023-07-07T19:59:25.5282368Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5282439Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5282444Z 2023-07-07T19:59:25.5282749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5282883Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5282889Z 2023-07-07T19:59:25.5283195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5283329Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5283336Z 2023-07-07T19:59:25.5283626Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5283777Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5283784Z 2023-07-07T19:59:25.5284056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5284201Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5284209Z 2023-07-07T19:59:25.5284655Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5284863Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5284881Z 2023-07-07T19:59:25.5285157Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5285294Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5285299Z 2023-07-07T19:59:25.5285550Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5285636Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5285642Z 2023-07-07T19:59:25.5285944Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5286079Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5286084Z 2023-07-07T19:59:25.5286396Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5286533Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5286538Z 2023-07-07T19:59:25.5286865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5286952Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5286970Z 2023-07-07T19:59:25.5287205Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5287309Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5287314Z 2023-07-07T19:59:25.5287568Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5287686Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5287691Z 2023-07-07T19:59:25.5287994Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5288127Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5288132Z 2023-07-07T19:59:25.5288437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5288573Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5288578Z 2023-07-07T19:59:25.5288867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5288979Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5288997Z 2023-07-07T19:59:25.5289258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5289404Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5289412Z 2023-07-07T19:59:25.5289714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5289869Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5289874Z 2023-07-07T19:59:25.5290157Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5290290Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5290295Z 2023-07-07T19:59:25.5290591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5290676Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5290681Z 2023-07-07T19:59:25.5290984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5291119Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5291155Z 2023-07-07T19:59:25.5291454Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5291589Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5291594Z 2023-07-07T19:59:25.5291883Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5291980Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5291985Z 2023-07-07T19:59:25.5292233Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5292334Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5292339Z 2023-07-07T19:59:25.5292593Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5292679Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5292686Z 2023-07-07T19:59:25.5292989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5293121Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5293126Z 2023-07-07T19:59:25.5293447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5293584Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5293589Z 2023-07-07T19:59:25.5293880Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5294002Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5294008Z 2023-07-07T19:59:25.5294308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5294454Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5294460Z 2023-07-07T19:59:25.5294760Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5294917Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5294924Z 2023-07-07T19:59:25.5295208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5295344Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5295349Z 2023-07-07T19:59:25.5295590Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5295675Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5295683Z 2023-07-07T19:59:25.5295985Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5296119Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5296124Z 2023-07-07T19:59:25.5296434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5296570Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5296575Z 2023-07-07T19:59:25.5296864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5296990Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5296996Z 2023-07-07T19:59:25.5297242Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5297344Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5297352Z 2023-07-07T19:59:25.5297594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5297703Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5297708Z 2023-07-07T19:59:25.5298012Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5298144Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5298152Z 2023-07-07T19:59:25.5298459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5298594Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5298599Z 2023-07-07T19:59:25.5298887Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5299011Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5299019Z 2023-07-07T19:59:25.5299293Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5299439Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5299445Z 2023-07-07T19:59:25.5299749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5299921Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5299927Z 2023-07-07T19:59:25.5300214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5300348Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5300353Z 2023-07-07T19:59:25.5300606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5300718Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5300723Z 2023-07-07T19:59:25.5301029Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5301163Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5301169Z 2023-07-07T19:59:25.5301480Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5301658Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5301666Z 2023-07-07T19:59:25.5302077Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5302185Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5302190Z 2023-07-07T19:59:25.5302441Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5302546Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5302554Z 2023-07-07T19:59:25.5302810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5302895Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5302900Z 2023-07-07T19:59:25.5303207Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5303342Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5303347Z 2023-07-07T19:59:25.5303708Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5303844Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5303850Z 2023-07-07T19:59:25.5304141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5304255Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5304289Z 2023-07-07T19:59:25.5304565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5304709Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5304715Z 2023-07-07T19:59:25.5305021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5305177Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5305182Z 2023-07-07T19:59:25.5305466Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5305600Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5305605Z 2023-07-07T19:59:25.5305865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5305951Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5305956Z 2023-07-07T19:59:25.5306264Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5306384Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5306403Z 2023-07-07T19:59:25.5306729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5306866Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5306874Z 2023-07-07T19:59:25.5307165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5307263Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5307298Z 2023-07-07T19:59:25.5307547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5307651Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5307656Z 2023-07-07T19:59:25.5307910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5307994Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5308000Z 2023-07-07T19:59:25.5308305Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5308425Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5308443Z 2023-07-07T19:59:25.5308741Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5308876Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5308884Z 2023-07-07T19:59:25.5309175Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5309303Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5309309Z 2023-07-07T19:59:25.5309585Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5309728Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5309736Z 2023-07-07T19:59:25.5310041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5310228Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5310234Z 2023-07-07T19:59:25.5310517Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5310651Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5310659Z 2023-07-07T19:59:25.5310901Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5311016Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5311021Z 2023-07-07T19:59:25.5311325Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5311461Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5311466Z 2023-07-07T19:59:25.5311774Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5311912Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5311917Z 2023-07-07T19:59:25.5312211Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5312312Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5312317Z 2023-07-07T19:59:25.5312566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5312668Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5312673Z 2023-07-07T19:59:25.5312913Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5312997Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5313030Z 2023-07-07T19:59:25.5313335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5313470Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5313476Z 2023-07-07T19:59:25.5313784Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5313985Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5313990Z 2023-07-07T19:59:25.5314284Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5314409Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5314415Z 2023-07-07T19:59:25.5314776Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5314923Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5314928Z 2023-07-07T19:59:25.5315220Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5315379Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5315384Z 2023-07-07T19:59:25.5315668Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5315805Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5315812Z 2023-07-07T19:59:25.5316067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5316153Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5316158Z 2023-07-07T19:59:25.5316467Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5316601Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5316607Z 2023-07-07T19:59:25.5316945Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5317083Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5317089Z 2023-07-07T19:59:25.5317370Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5317500Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5317506Z 2023-07-07T19:59:25.5317753Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5317854Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5317860Z 2023-07-07T19:59:25.5318117Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5318201Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5318206Z 2023-07-07T19:59:25.5318514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5318646Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5318651Z 2023-07-07T19:59:25.5318959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5319096Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5319104Z 2023-07-07T19:59:25.5319383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5319506Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5319511Z 2023-07-07T19:59:25.5319813Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5319959Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5319965Z 2023-07-07T19:59:25.5320268Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5320424Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5320457Z 2023-07-07T19:59:25.5320741Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5320877Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5320882Z 2023-07-07T19:59:25.5321138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5321221Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5321226Z 2023-07-07T19:59:25.5321532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5321653Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5321660Z 2023-07-07T19:59:25.5321969Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5322102Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5322110Z 2023-07-07T19:59:25.5322400Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5322499Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5322504Z 2023-07-07T19:59:25.5322750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5322851Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5322858Z 2023-07-07T19:59:25.5323111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5323194Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5323199Z 2023-07-07T19:59:25.5323528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5323649Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5323657Z 2023-07-07T19:59:25.5323966Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5324131Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5324137Z 2023-07-07T19:59:25.5324563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5324740Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5324746Z 2023-07-07T19:59:25.5325027Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5325173Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5325179Z 2023-07-07T19:59:25.5325481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5325641Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5325646Z 2023-07-07T19:59:25.5325981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5326146Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5326151Z 2023-07-07T19:59:25.5326413Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5326582Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5326588Z 2023-07-07T19:59:25.5326896Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5327029Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5327035Z 2023-07-07T19:59:25.5327343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5327544Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5327555Z 2023-07-07T19:59:25.5327884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5327983Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5327988Z 2023-07-07T19:59:25.5328234Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5328326Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5328331Z 2023-07-07T19:59:25.5328584Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5328669Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5328675Z 2023-07-07T19:59:25.5328978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5329112Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5329117Z 2023-07-07T19:59:25.5329424Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5329560Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5329565Z 2023-07-07T19:59:25.5329857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5329981Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5329987Z 2023-07-07T19:59:25.5330309Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5330442Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5330459Z 2023-07-07T19:59:25.5330749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5330907Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5330948Z 2023-07-07T19:59:25.5331233Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5331364Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5331370Z 2023-07-07T19:59:25.5331624Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5331708Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5331713Z 2023-07-07T19:59:25.5332019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5332150Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5332156Z 2023-07-07T19:59:25.5332464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5332591Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5332609Z 2023-07-07T19:59:25.5332888Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5332986Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5332992Z 2023-07-07T19:59:25.5333265Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5333368Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5333373Z 2023-07-07T19:59:25.5333630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5333713Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5333718Z 2023-07-07T19:59:25.5334022Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5334184Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5334192Z 2023-07-07T19:59:25.5334497Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5334618Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5334635Z 2023-07-07T19:59:25.5334914Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5335038Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5335043Z 2023-07-07T19:59:25.5335320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5335462Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5335471Z 2023-07-07T19:59:25.5335773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5335933Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5335938Z 2023-07-07T19:59:25.5336222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5336358Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5336363Z 2023-07-07T19:59:25.5336667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5336785Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5336843Z 2023-07-07T19:59:25.5337204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5337338Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5337346Z 2023-07-07T19:59:25.5337657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5337826Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5337832Z 2023-07-07T19:59:25.5338124Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5338225Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5338230Z 2023-07-07T19:59:25.5338478Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5338581Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5338586Z 2023-07-07T19:59:25.5338841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5338924Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5338932Z 2023-07-07T19:59:25.5339225Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5339359Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5339364Z 2023-07-07T19:59:25.5339671Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5339835Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5339841Z 2023-07-07T19:59:25.5340132Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5340258Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5340264Z 2023-07-07T19:59:25.5340537Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5340714Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5340719Z 2023-07-07T19:59:25.5341025Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5341181Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5341187Z 2023-07-07T19:59:25.5341460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5341594Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5341599Z 2023-07-07T19:59:25.5341854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5341938Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5341943Z 2023-07-07T19:59:25.5342248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5342382Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5342389Z 2023-07-07T19:59:25.5342697Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5342830Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5342835Z 2023-07-07T19:59:25.5343129Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5343225Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5343230Z 2023-07-07T19:59:25.5343508Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5343597Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5343602Z 2023-07-07T19:59:25.5343854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5343938Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5343943Z 2023-07-07T19:59:25.5344276Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5344407Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5344412Z 2023-07-07T19:59:25.5344721Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5344856Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5344862Z 2023-07-07T19:59:25.5345154Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5345277Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5345283Z 2023-07-07T19:59:25.5345558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5345692Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5345700Z 2023-07-07T19:59:25.5346000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5346156Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5346162Z 2023-07-07T19:59:25.5346469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5346605Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5346610Z 2023-07-07T19:59:25.5346865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5346949Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5346954Z 2023-07-07T19:59:25.5347289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5347422Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5347427Z 2023-07-07T19:59:25.5347734Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5347857Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5347865Z 2023-07-07T19:59:25.5348154Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5348250Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5348257Z 2023-07-07T19:59:25.5348503Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5348605Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5348613Z 2023-07-07T19:59:25.5348868Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5348954Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5348959Z 2023-07-07T19:59:25.5349262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5349393Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5349398Z 2023-07-07T19:59:25.5349709Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5349833Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5349874Z 2023-07-07T19:59:25.5350171Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5350296Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5350303Z 2023-07-07T19:59:25.5350578Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5350750Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5350755Z 2023-07-07T19:59:25.5351060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5351218Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5351224Z 2023-07-07T19:59:25.5351507Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5351641Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5351647Z 2023-07-07T19:59:25.5351902Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5351978Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5351994Z 2023-07-07T19:59:25.5352285Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5352418Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5352423Z 2023-07-07T19:59:25.5352730Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5352895Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5352901Z 2023-07-07T19:59:25.5353194Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5353293Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5353298Z 2023-07-07T19:59:25.5353544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5353675Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5353680Z 2023-07-07T19:59:25.5353934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5354008Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5354025Z 2023-07-07T19:59:25.5354314Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5354526Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5354533Z 2023-07-07T19:59:25.5354848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5354985Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5354990Z 2023-07-07T19:59:25.5355283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5355413Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5355420Z 2023-07-07T19:59:25.5355694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5355839Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5355844Z 2023-07-07T19:59:25.5356149Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5356305Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5356311Z 2023-07-07T19:59:25.5356615Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5356751Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5356755Z 2023-07-07T19:59:25.5357009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5357096Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5357132Z 2023-07-07T19:59:25.5357442Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5357575Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5357580Z 2023-07-07T19:59:25.5357889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5358023Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5358028Z 2023-07-07T19:59:25.5358321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5358417Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5358422Z 2023-07-07T19:59:25.5358658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5358759Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5358767Z 2023-07-07T19:59:25.5359020Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5359103Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5359108Z 2023-07-07T19:59:25.5359443Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5359577Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5359582Z 2023-07-07T19:59:25.5359890Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5360025Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5360030Z 2023-07-07T19:59:25.5360317Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5360472Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5360478Z 2023-07-07T19:59:25.5360738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5360882Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5360888Z 2023-07-07T19:59:25.5361192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5361348Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5361355Z 2023-07-07T19:59:25.5361638Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5361772Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5361779Z 2023-07-07T19:59:25.5362032Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5362119Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5362124Z 2023-07-07T19:59:25.5362429Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5362561Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5362568Z 2023-07-07T19:59:25.5362863Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5363028Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5363033Z 2023-07-07T19:59:25.5363326Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5363424Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5363432Z 2023-07-07T19:59:25.5363680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5363812Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5363817Z 2023-07-07T19:59:25.5364072Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5364156Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5364161Z 2023-07-07T19:59:25.5364620Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5364758Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5364765Z 2023-07-07T19:59:25.5365067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5365204Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5365211Z 2023-07-07T19:59:25.5365503Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5365631Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5365637Z 2023-07-07T19:59:25.5365912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5366147Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5366153Z 2023-07-07T19:59:25.5366459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5366621Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5366626Z 2023-07-07T19:59:25.5366910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5367085Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5367093Z 2023-07-07T19:59:25.5367348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5367420Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5367426Z 2023-07-07T19:59:25.5367732Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5367867Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5367872Z 2023-07-07T19:59:25.5368181Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5368317Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5368322Z 2023-07-07T19:59:25.5368616Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5368717Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5368724Z 2023-07-07T19:59:25.5368970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5369071Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5369076Z 2023-07-07T19:59:25.5369329Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5369403Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5369409Z 2023-07-07T19:59:25.5369711Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5369880Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5369886Z 2023-07-07T19:59:25.5370197Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5370334Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5370373Z 2023-07-07T19:59:25.5370667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5370792Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5370797Z 2023-07-07T19:59:25.5371074Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5371218Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5371223Z 2023-07-07T19:59:25.5371528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5371672Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5371691Z 2023-07-07T19:59:25.5371962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5372098Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5372103Z 2023-07-07T19:59:25.5372360Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5372444Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5372449Z 2023-07-07T19:59:25.5372794Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5372929Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5372934Z 2023-07-07T19:59:25.5373245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5373382Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5373420Z 2023-07-07T19:59:25.5373713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5373799Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5373817Z 2023-07-07T19:59:25.5374053Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5374154Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5374160Z 2023-07-07T19:59:25.5374416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5374502Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5374507Z 2023-07-07T19:59:25.5374811Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5374943Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5374948Z 2023-07-07T19:59:25.5375260Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5375398Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5375403Z 2023-07-07T19:59:25.5375697Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5375808Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5375827Z 2023-07-07T19:59:25.5376094Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5376239Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5376278Z 2023-07-07T19:59:25.5376582Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5376743Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5376750Z 2023-07-07T19:59:25.5377034Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5377196Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5377202Z 2023-07-07T19:59:25.5377457Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5377542Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5377550Z 2023-07-07T19:59:25.5377856Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5377979Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5377997Z 2023-07-07T19:59:25.5378291Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5378430Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5378435Z 2023-07-07T19:59:25.5378729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5378827Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5378832Z 2023-07-07T19:59:25.5379079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5379206Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5379212Z 2023-07-07T19:59:25.5379469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5379553Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5379559Z 2023-07-07T19:59:25.5379863Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5379982Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5380028Z 2023-07-07T19:59:25.5380325Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5380463Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5380468Z 2023-07-07T19:59:25.5380759Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5380885Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5380890Z 2023-07-07T19:59:25.5381166Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5381312Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5381318Z 2023-07-07T19:59:25.5381618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5381776Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5381783Z 2023-07-07T19:59:25.5382064Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5382196Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5382202Z 2023-07-07T19:59:25.5382446Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5382532Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5382536Z 2023-07-07T19:59:25.5382867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5383000Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5383005Z 2023-07-07T19:59:25.5383313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5383450Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5383482Z 2023-07-07T19:59:25.5383775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5383872Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5383877Z 2023-07-07T19:59:25.5384126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5384228Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5384233Z 2023-07-07T19:59:25.5384476Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5384560Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5384565Z 2023-07-07T19:59:25.5384866Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5385000Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5385008Z 2023-07-07T19:59:25.5385316Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5385451Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5385456Z 2023-07-07T19:59:25.5385772Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5385899Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5385904Z 2023-07-07T19:59:25.5386181Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5386324Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5386330Z 2023-07-07T19:59:25.5386648Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5386808Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5386813Z 2023-07-07T19:59:25.5387094Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5387227Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5387234Z 2023-07-07T19:59:25.5387489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5387572Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5387577Z 2023-07-07T19:59:25.5387880Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5388013Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5388020Z 2023-07-07T19:59:25.5388326Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5388462Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5388467Z 2023-07-07T19:59:25.5388757Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5388842Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5388849Z 2023-07-07T19:59:25.5389095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5389195Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5389227Z 2023-07-07T19:59:25.5389483Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5389565Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5389571Z 2023-07-07T19:59:25.5389877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5390036Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5390041Z 2023-07-07T19:59:25.5390348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5390482Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5390489Z 2023-07-07T19:59:25.5390777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5390892Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5390897Z 2023-07-07T19:59:25.5391170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5391312Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5391320Z 2023-07-07T19:59:25.5391622Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5391784Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5391790Z 2023-07-07T19:59:25.5392073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5392238Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5392244Z 2023-07-07T19:59:25.5392498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5392584Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5392590Z 2023-07-07T19:59:25.5392893Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5393043Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5393048Z 2023-07-07T19:59:25.5393360Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5393494Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5393500Z 2023-07-07T19:59:25.5393795Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5393890Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5393895Z 2023-07-07T19:59:25.5394143Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5394244Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5394250Z 2023-07-07T19:59:25.5394587Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5394675Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5394680Z 2023-07-07T19:59:25.5394989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5395110Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5395115Z 2023-07-07T19:59:25.5395424Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5395561Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5395567Z 2023-07-07T19:59:25.5395905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5396031Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5396036Z 2023-07-07T19:59:25.5396312Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5396457Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5396503Z 2023-07-07T19:59:25.5396806Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5396963Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5396968Z 2023-07-07T19:59:25.5397253Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5397375Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5397394Z 2023-07-07T19:59:25.5397637Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5397721Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5397726Z 2023-07-07T19:59:25.5398027Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5398162Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5398169Z 2023-07-07T19:59:25.5398474Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5398609Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5398614Z 2023-07-07T19:59:25.5398936Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5399035Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5399040Z 2023-07-07T19:59:25.5399288Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5399377Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5399394Z 2023-07-07T19:59:25.5399636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5399746Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5399753Z 2023-07-07T19:59:25.5400054Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5400187Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5400192Z 2023-07-07T19:59:25.5400500Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5400634Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5400639Z 2023-07-07T19:59:25.5400933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5401056Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5401062Z 2023-07-07T19:59:25.5401338Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5401471Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5401488Z 2023-07-07T19:59:25.5401776Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5401933Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5401940Z 2023-07-07T19:59:25.5402225Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5402387Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5402393Z 2023-07-07T19:59:25.5402650Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5402733Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5402741Z 2023-07-07T19:59:25.5403046Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5403206Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5403211Z 2023-07-07T19:59:25.5403517Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5403653Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5403659Z 2023-07-07T19:59:25.5403937Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5404036Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5404041Z 2023-07-07T19:59:25.5404285Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5404511Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5404521Z 2023-07-07T19:59:25.5404889Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5405004Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5405010Z 2023-07-07T19:59:25.5405420Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5405603Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5405695Z 2023-07-07T19:59:25.5406148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5406419Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5406429Z 2023-07-07T19:59:25.5406856Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5407110Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5407119Z 2023-07-07T19:59:25.5407536Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5407754Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5407763Z 2023-07-07T19:59:25.5408210Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5408428Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5408435Z 2023-07-07T19:59:25.5408828Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5409010Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5409018Z 2023-07-07T19:59:25.5409364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5409480Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5409488Z 2023-07-07T19:59:25.5409891Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5410079Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5410086Z 2023-07-07T19:59:25.5410514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5410727Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5410736Z 2023-07-07T19:59:25.5411371Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5411545Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5411555Z 2023-07-07T19:59:25.5412002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5412175Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5412250Z 2023-07-07T19:59:25.5412692Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5412815Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5412824Z 2023-07-07T19:59:25.5413278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5413476Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5413483Z 2023-07-07T19:59:25.5413978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5414198Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5414209Z 2023-07-07T19:59:25.5414753Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5414981Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5414994Z 2023-07-07T19:59:25.5415525Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5415797Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5415811Z 2023-07-07T19:59:25.5416458Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5416746Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5416758Z 2023-07-07T19:59:25.5417304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5417533Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5417599Z 2023-07-07T19:59:25.5418076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5418245Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5418256Z 2023-07-07T19:59:25.5418842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5419084Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5419099Z 2023-07-07T19:59:25.5419689Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5419953Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5419966Z 2023-07-07T19:59:25.5420532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5420707Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5420720Z 2023-07-07T19:59:25.5421195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5421359Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5421367Z 2023-07-07T19:59:25.5421857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5422007Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5422015Z 2023-07-07T19:59:25.5422601Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5422844Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5422854Z 2023-07-07T19:59:25.5423504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5423759Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5423777Z 2023-07-07T19:59:25.5424321Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5424671Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5424679Z 2023-07-07T19:59:25.5425211Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5425506Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5425518Z 2023-07-07T19:59:25.5426088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5426387Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5426400Z 2023-07-07T19:59:25.5426935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5427197Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5427208Z 2023-07-07T19:59:25.5427687Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5427857Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5427866Z 2023-07-07T19:59:25.5428389Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5428724Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5428735Z 2023-07-07T19:59:25.5429314Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5429553Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5429580Z 2023-07-07T19:59:25.5430123Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5430360Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5430370Z 2023-07-07T19:59:25.5430843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5431035Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5431045Z 2023-07-07T19:59:25.5431523Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5431685Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5431695Z 2023-07-07T19:59:25.5432269Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5432522Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5432532Z 2023-07-07T19:59:25.5433120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5433366Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5433395Z 2023-07-07T19:59:25.5433904Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5434129Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5434141Z 2023-07-07T19:59:25.5434751Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5435029Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5435041Z 2023-07-07T19:59:25.5435694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5435984Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5435998Z 2023-07-07T19:59:25.5436540Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5436790Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5436848Z 2023-07-07T19:59:25.5437335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5437474Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5437500Z 2023-07-07T19:59:25.5438068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5438327Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5438340Z 2023-07-07T19:59:25.5438928Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5439184Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5439195Z 2023-07-07T19:59:25.5439750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5439939Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5439950Z 2023-07-07T19:59:25.5440417Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5440600Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5440610Z 2023-07-07T19:59:25.5441152Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5441286Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5441316Z 2023-07-07T19:59:25.5441881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5442130Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5442139Z 2023-07-07T19:59:25.5442726Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5443036Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5443051Z 2023-07-07T19:59:25.5443595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5443827Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5443838Z 2023-07-07T19:59:25.5444365Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5444727Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5444740Z 2023-07-07T19:59:25.5445327Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5445610Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5445623Z 2023-07-07T19:59:25.5446142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5446385Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5446395Z 2023-07-07T19:59:25.5446875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5447033Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5447043Z 2023-07-07T19:59:25.5447620Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5447861Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5447988Z 2023-07-07T19:59:25.5448572Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5448831Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5448846Z 2023-07-07T19:59:25.5449401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5449650Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5449661Z 2023-07-07T19:59:25.5450112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5450286Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5450302Z 2023-07-07T19:59:25.5450787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5450938Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5450945Z 2023-07-07T19:59:25.5451533Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5451780Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5451793Z 2023-07-07T19:59:25.5452377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5452633Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5452644Z 2023-07-07T19:59:25.5453189Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5453501Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5453513Z 2023-07-07T19:59:25.5454025Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5454285Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5454297Z 2023-07-07T19:59:25.5454870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5455222Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5455233Z 2023-07-07T19:59:25.5455781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5456028Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5456041Z 2023-07-07T19:59:25.5456515Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5456676Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5456685Z 2023-07-07T19:59:25.5457254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5457517Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5457528Z 2023-07-07T19:59:25.5458123Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5458364Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5458380Z 2023-07-07T19:59:25.5459236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5459433Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5459444Z 2023-07-07T19:59:25.5459959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5460155Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5460166Z 2023-07-07T19:59:25.5460640Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5460882Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5460894Z 2023-07-07T19:59:25.5461547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5461791Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5461801Z 2023-07-07T19:59:25.5462432Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5462620Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5462630Z 2023-07-07T19:59:25.5463142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5463367Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5463380Z 2023-07-07T19:59:25.5463896Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5464153Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5464164Z 2023-07-07T19:59:25.5464742Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5465034Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5465054Z 2023-07-07T19:59:25.5465591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5465835Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5465846Z 2023-07-07T19:59:25.5466384Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5466521Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5466531Z 2023-07-07T19:59:25.5467104Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5467355Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5467366Z 2023-07-07T19:59:25.5468006Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5468263Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5468275Z 2023-07-07T19:59:25.5468813Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5468996Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5469008Z 2023-07-07T19:59:25.5469481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5469670Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5469679Z 2023-07-07T19:59:25.5470153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5470301Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5470311Z 2023-07-07T19:59:25.5470871Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5471123Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5471138Z 2023-07-07T19:59:25.5471722Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5471966Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5471980Z 2023-07-07T19:59:25.5472535Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5472764Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5472774Z 2023-07-07T19:59:25.5473380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5473656Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5473673Z 2023-07-07T19:59:25.5474231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5474647Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5474681Z 2023-07-07T19:59:25.5475130Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5487914Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5487948Z 2023-07-07T19:59:25.5488530Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5488708Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5488719Z 2023-07-07T19:59:25.5489302Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5489548Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5489564Z 2023-07-07T19:59:25.5490247Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5490500Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5490511Z 2023-07-07T19:59:25.5491070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5491404Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5491419Z 2023-07-07T19:59:25.5491879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5492062Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5492075Z 2023-07-07T19:59:25.5492552Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5492697Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5492782Z 2023-07-07T19:59:25.5493362Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5493616Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5493626Z 2023-07-07T19:59:25.5494198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5494437Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5494445Z 2023-07-07T19:59:25.5495002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5495230Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5495240Z 2023-07-07T19:59:25.5495761Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5496026Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5496037Z 2023-07-07T19:59:25.5496600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5496888Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5496897Z 2023-07-07T19:59:25.5497419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5497660Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5497672Z 2023-07-07T19:59:25.5498227Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5498376Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5498385Z 2023-07-07T19:59:25.5498956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5499212Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5499292Z 2023-07-07T19:59:25.5499886Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5500132Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5500140Z 2023-07-07T19:59:25.5500691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5500868Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5500879Z 2023-07-07T19:59:25.5501354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5501533Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5501545Z 2023-07-07T19:59:25.5502029Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5502167Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5502185Z 2023-07-07T19:59:25.5502767Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5503007Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5503017Z 2023-07-07T19:59:25.5503667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5503927Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5503939Z 2023-07-07T19:59:25.5504493Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5504732Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5504743Z 2023-07-07T19:59:25.5505261Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5505574Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5505586Z 2023-07-07T19:59:25.5506070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5506314Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5506346Z 2023-07-07T19:59:25.5506867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5507101Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5507119Z 2023-07-07T19:59:25.5507593Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5507743Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5507753Z 2023-07-07T19:59:25.5508563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5508813Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5508824Z 2023-07-07T19:59:25.5509417Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5509682Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5509697Z 2023-07-07T19:59:25.5510249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5510414Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5510516Z 2023-07-07T19:59:25.5510975Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5511154Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5511168Z 2023-07-07T19:59:25.5511660Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5511857Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5511866Z 2023-07-07T19:59:25.5512453Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5512690Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5512702Z 2023-07-07T19:59:25.5513296Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5513550Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5513565Z 2023-07-07T19:59:25.5514122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5514331Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5514362Z 2023-07-07T19:59:25.5514919Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5515167Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5515176Z 2023-07-07T19:59:25.5515714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5516078Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5516094Z 2023-07-07T19:59:25.5516612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5516858Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5516868Z 2023-07-07T19:59:25.5517360Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5517573Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5517582Z 2023-07-07T19:59:25.5518145Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5518387Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5518417Z 2023-07-07T19:59:25.5518963Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5519220Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5519230Z 2023-07-07T19:59:25.5519793Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5520345Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5520362Z 2023-07-07T19:59:25.5520887Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5521095Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5521105Z 2023-07-07T19:59:25.5521594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5521744Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5521755Z 2023-07-07T19:59:25.5522329Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5522564Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5522592Z 2023-07-07T19:59:25.5523164Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5523503Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5523515Z 2023-07-07T19:59:25.5524069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5524306Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5524366Z 2023-07-07T19:59:25.5525146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5525413Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5525424Z 2023-07-07T19:59:25.5526009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5526297Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5526308Z 2023-07-07T19:59:25.5526844Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5527064Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5527075Z 2023-07-07T19:59:25.5527527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5527694Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5527711Z 2023-07-07T19:59:25.5528274Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5528527Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5528539Z 2023-07-07T19:59:25.5529243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5529499Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5529511Z 2023-07-07T19:59:25.5530066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5530247Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5530256Z 2023-07-07T19:59:25.5530786Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5530969Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5530978Z 2023-07-07T19:59:25.5531447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5531600Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5531610Z 2023-07-07T19:59:25.5532200Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5532442Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5532453Z 2023-07-07T19:59:25.5533043Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5533307Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5533318Z 2023-07-07T19:59:25.5533885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5534121Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5534137Z 2023-07-07T19:59:25.5534643Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5534918Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5534930Z 2023-07-07T19:59:25.5535504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 1847, in adaptive_avg_pool2d 2023-07-07T19:59:25.5535793Z return torch.nn.functional.adaptive_avg_pool2d(input, output_size) 2023-07-07T19:59:25.5535929Z 2023-07-07T19:59:25.5536477Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/functional.py", line 1232, in adaptive_avg_pool2d 2023-07-07T19:59:25.5536726Z return torch._C._nn.adaptive_avg_pool2d(input, _output_size) 2023-07-07T19:59:25.5536742Z 2023-07-07T19:59:25.5537222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5537453Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5537462Z 2023-07-07T19:59:25.5538041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5538288Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5538302Z 2023-07-07T19:59:25.5538881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5539126Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5539138Z 2023-07-07T19:59:25.5539697Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 269, in proxy_call 2023-07-07T19:59:25.5539860Z r = func.decompose(*args, **kwargs) 2023-07-07T19:59:25.5539869Z 2023-07-07T19:59:25.5540334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 469, in decompose 2023-07-07T19:59:25.5540515Z return self._op_dk(dk, *args, **kwargs) 2023-07-07T19:59:25.5540524Z 2023-07-07T19:59:25.5540962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5541118Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5541128Z 2023-07-07T19:59:25.5541774Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5542016Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5542029Z 2023-07-07T19:59:25.5542628Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5542875Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5542947Z 2023-07-07T19:59:25.5543493Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 262, in proxy_call 2023-07-07T19:59:25.5543720Z r = CURRENT_DECOMPOSITION_TABLE[func](*args, **kwargs) 2023-07-07T19:59:25.5543731Z 2023-07-07T19:59:25.5544226Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 70, in inner 2023-07-07T19:59:25.5544482Z r = f(*tree_map(increase_prec, args), **tree_map(increase_prec, kwargs)) 2023-07-07T19:59:25.5544495Z 2023-07-07T19:59:25.5544986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T19:59:25.5545217Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.5545227Z 2023-07-07T19:59:25.5545715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T19:59:25.5545955Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T19:59:25.5545966Z 2023-07-07T19:59:25.5546505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_decomp/decompositions.py", line 60, in increase_prec 2023-07-07T19:59:25.5546692Z return x.to(computation_dtype) 2023-07-07T19:59:25.5546702Z 2023-07-07T19:59:25.5547174Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_stats.py", line 20, in wrapper 2023-07-07T19:59:25.5547325Z return fn(*args, **kwargs) 2023-07-07T19:59:25.5547337Z 2023-07-07T19:59:25.5547910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 555, in __torch_dispatch__ 2023-07-07T19:59:25.5548238Z return self.inner_torch_dispatch(func, types, args, kwargs) 2023-07-07T19:59:25.5548250Z 2023-07-07T19:59:25.5548838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 580, in inner_torch_dispatch 2023-07-07T19:59:25.5549092Z return proxy_call(self, func, self.pre_dispatch, args, kwargs) 2023-07-07T19:59:25.5549103Z 2023-07-07T19:59:25.5549718Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 256, in proxy_call 2023-07-07T19:59:25.5549999Z if not pytree.tree_all_only(torch.Tensor, can_handle_tensor, (args, kwargs)): 2023-07-07T19:59:25.5550013Z 2023-07-07T19:59:25.5550531Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 416, in tree_all_only 2023-07-07T19:59:25.5550711Z flat_args, _ = tree_flatten(pytree) 2023-07-07T19:59:25.5550723Z 2023-07-07T19:59:25.5551222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 274, in tree_flatten 2023-07-07T19:59:25.5551352Z if _is_leaf(pytree): 2023-07-07T19:59:25.5551363Z 2023-07-07T19:59:25.5551801Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 233, in _is_leaf 2023-07-07T19:59:25.5552014Z return _get_node_type(pytree) not in SUPPORTED_NODES 2023-07-07T19:59:25.5552024Z 2023-07-07T19:59:25.5552232Z RecursionError: maximum recursion depth exceeded 2023-07-07T19:59:25.5552245Z 2023-07-07T19:59:25.5552603Z While executing %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.nn.functional.adaptive_avg_pool2d](args = (%arg0, (5, 7)), kwargs = {}) 2023-07-07T19:59:25.5552749Z Original traceback: 2023-07-07T19:59:25.5552973Z File "onnx/test_fx_op_consistency.py", line 534, in forward 2023-07-07T19:59:25.5553203Z return self.operator(*args, **self.kwargs) 2023-07-07T19:59:25.5553213Z 2023-07-07T19:59:25.5553221Z 2023-07-07T19:59:25.5553325Z ``` 2023-07-07T19:59:25.5553425Z XFAIL [0.0847s] [ 83%] 2023-07-07T19:59:25.5554385Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool3d_cpu_float16 [2023-07-07 19:58:11,882] torch.onnx: [ERROR] Cannot find symbolic function for aten::_adaptive_avg_pool3d, which should be registered under aten._adaptive_avg_pool3d.default. 2023-07-07T19:59:25.5554782Z [2023-07-07 19:58:11,882] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5555257Z [2023-07-07 19:58:11,882] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten._adaptive_avg_pool3d.default']}. 2023-07-07T19:59:25.5555499Z [2023-07-07 19:58:11,882] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5555614Z XFAIL [0.1172s] [ 83%] 2023-07-07T19:59:25.5556579Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_adaptive_avg_pool3d_cpu_float32 [2023-07-07 19:58:11,990] torch.onnx: [ERROR] Cannot find symbolic function for aten::_adaptive_avg_pool3d, which should be registered under aten._adaptive_avg_pool3d.default. 2023-07-07T19:59:25.5556796Z [2023-07-07 19:58:11,990] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5557209Z [2023-07-07 19:58:11,990] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten._adaptive_avg_pool3d.default']}. 2023-07-07T19:59:25.5557429Z [2023-07-07 19:58:11,990] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5557542Z XFAIL [0.0904s] [ 84%] 2023-07-07T19:59:25.5557967Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_celu_cpu_float16 PASSED [0.2127s] [ 84%] 2023-07-07T19:59:25.5558296Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_celu_cpu_float32 PASSED [0.4757s] [ 84%] 2023-07-07T19:59:25.5559027Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_conv1d_cpu_float32 [2023-07-07 19:58:12,805] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T19:59:25.5559281Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5559292Z 2023-07-07T19:59:25.5559588Z [2023-07-07 19:58:12,805] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5559928Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5559992Z 2023-07-07T19:59:25.5560296Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5560745Z - self: 2023-07-07T19:59:25.5561066Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T19:59:25.5561267Z - aten_name: 2023-07-07T19:59:25.5561501Z - function_overloads: 2023-07-07T19:59:25.5561694Z - onnx_args: 2023-07-07T19:59:25.5561909Z - onnx_kwargs: 2023-07-07T19:59:25.5562447Z - diagnostic_context: 2023-07-07T19:59:25.5562735Z - Return value: 2023-07-07T19:59:25.5563112Z [2023-07-07 19:58:12,933] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.5563293Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5563304Z 2023-07-07T19:59:25.5563579Z [2023-07-07 19:58:12,933] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5563852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5563860Z 2023-07-07T19:59:25.5564169Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5564680Z - self: 2023-07-07T19:59:25.5564967Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.5565123Z - aten_name: 2023-07-07T19:59:25.5565303Z - function_overloads: 2023-07-07T19:59:25.5565448Z - onnx_args: 2023-07-07T19:59:25.5565608Z - onnx_kwargs: 2023-07-07T19:59:25.5566096Z - diagnostic_context: 2023-07-07T19:59:25.5566316Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.5566704Z [2023-07-07 19:58:12,935] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T19:59:25.5566903Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5566910Z 2023-07-07T19:59:25.5567189Z [2023-07-07 19:58:12,935] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5567473Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5567481Z 2023-07-07T19:59:25.5567735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5568091Z - self: 2023-07-07T19:59:25.5568384Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T19:59:25.5568549Z - aten_name: 2023-07-07T19:59:25.5568735Z - function_overloads: 2023-07-07T19:59:25.5568897Z - onnx_args: 2023-07-07T19:59:25.5569060Z - onnx_kwargs: 2023-07-07T19:59:25.5569474Z - diagnostic_context: 2023-07-07T19:59:25.5569745Z - Return value: 2023-07-07T19:59:25.5570094Z [2023-07-07 19:58:12,938] torch.onnx: [WARNING] FX Node: call_function:aten.squeeze.dim[name=squeeze]. 2023-07-07T19:59:25.5570290Z ONNX Node: aten_squeeze_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5570299Z 2023-07-07T19:59:25.5570657Z [2023-07-07 19:58:12,938] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5570936Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5570947Z 2023-07-07T19:59:25.5571195Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5571617Z - self: 2023-07-07T19:59:25.5571865Z - node: fx.Node(squeeze[call_function]'aten.squeeze.dim') 2023-07-07T19:59:25.5572025Z - aten_name: 2023-07-07T19:59:25.5572190Z - function_overloads: 2023-07-07T19:59:25.5572352Z - onnx_args: 2023-07-07T19:59:25.5572518Z - onnx_kwargs: 2023-07-07T19:59:25.5572928Z - diagnostic_context: 2023-07-07T19:59:25.5573156Z - Return value: `OnnxFunction(aten_squeeze_dim)` 2023-07-07T19:59:25.5573535Z [2023-07-07 19:58:13,034] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T19:59:25.5573731Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5573742Z 2023-07-07T19:59:25.5574014Z [2023-07-07 19:58:13,034] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5574276Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5574302Z 2023-07-07T19:59:25.5574531Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5574937Z - self: 2023-07-07T19:59:25.5575231Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T19:59:25.5575385Z - aten_name: 2023-07-07T19:59:25.5575571Z - function_overloads: 2023-07-07T19:59:25.5575733Z - onnx_args: 2023-07-07T19:59:25.5575896Z - onnx_kwargs: 2023-07-07T19:59:25.5576286Z - diagnostic_context: 2023-07-07T19:59:25.5576614Z - Return value: 2023-07-07T19:59:25.5576986Z [2023-07-07 19:58:13,133] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.5577182Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5577190Z 2023-07-07T19:59:25.5577459Z [2023-07-07 19:58:13,133] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5577741Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5577750Z 2023-07-07T19:59:25.5577994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5578364Z - self: 2023-07-07T19:59:25.5578646Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.5578787Z - aten_name: 2023-07-07T19:59:25.5578970Z - function_overloads: 2023-07-07T19:59:25.5579132Z - onnx_args: 2023-07-07T19:59:25.5579297Z - onnx_kwargs: 2023-07-07T19:59:25.5579710Z - diagnostic_context: 2023-07-07T19:59:25.5579930Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.5580331Z [2023-07-07 19:58:13,135] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T19:59:25.5580515Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5580540Z 2023-07-07T19:59:25.5580798Z [2023-07-07 19:58:13,135] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5581123Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5581131Z 2023-07-07T19:59:25.5581376Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5581751Z - self: 2023-07-07T19:59:25.5582086Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T19:59:25.5582250Z - aten_name: 2023-07-07T19:59:25.5582438Z - function_overloads: 2023-07-07T19:59:25.5582604Z - onnx_args: 2023-07-07T19:59:25.5582754Z - onnx_kwargs: 2023-07-07T19:59:25.5583174Z - diagnostic_context: 2023-07-07T19:59:25.5583471Z - Return value: 2023-07-07T19:59:25.5583828Z [2023-07-07 19:58:13,137] torch.onnx: [WARNING] FX Node: call_function:aten.squeeze.dim[name=squeeze]. 2023-07-07T19:59:25.5584026Z ONNX Node: aten_squeeze_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5584033Z 2023-07-07T19:59:25.5584304Z [2023-07-07 19:58:13,137] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5584587Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5584597Z 2023-07-07T19:59:25.5584849Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5585196Z - self: 2023-07-07T19:59:25.5585484Z - node: fx.Node(squeeze[call_function]'aten.squeeze.dim') 2023-07-07T19:59:25.5585640Z - aten_name: 2023-07-07T19:59:25.5585826Z - function_overloads: 2023-07-07T19:59:25.5585988Z - onnx_args: 2023-07-07T19:59:25.5586160Z - onnx_kwargs: 2023-07-07T19:59:25.5586568Z - diagnostic_context: 2023-07-07T19:59:25.5586801Z - Return value: `OnnxFunction(aten_squeeze_dim)` 2023-07-07T19:59:25.5587214Z [2023-07-07 19:58:13,221] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T19:59:25.5587417Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5587425Z 2023-07-07T19:59:25.5587697Z [2023-07-07 19:58:13,221] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5587974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5587981Z 2023-07-07T19:59:25.5588240Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5588639Z - self: 2023-07-07T19:59:25.5588942Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T19:59:25.5589101Z - aten_name: 2023-07-07T19:59:25.5589269Z - function_overloads: 2023-07-07T19:59:25.5589435Z - onnx_args: 2023-07-07T19:59:25.5589602Z - onnx_kwargs: 2023-07-07T19:59:25.5590019Z - diagnostic_context: 2023-07-07T19:59:25.5590314Z - Return value: 2023-07-07T19:59:25.5590685Z [2023-07-07 19:58:13,307] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.5590881Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5590892Z 2023-07-07T19:59:25.5591205Z [2023-07-07 19:58:13,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5591583Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5591611Z 2023-07-07T19:59:25.5591870Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5592254Z - self: 2023-07-07T19:59:25.5592555Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.5592749Z - aten_name: 2023-07-07T19:59:25.5592936Z - function_overloads: 2023-07-07T19:59:25.5593103Z - onnx_args: 2023-07-07T19:59:25.5593270Z - onnx_kwargs: 2023-07-07T19:59:25.5593679Z - diagnostic_context: 2023-07-07T19:59:25.5593911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.5594314Z [2023-07-07 19:58:13,309] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T19:59:25.5594598Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5594606Z 2023-07-07T19:59:25.5594887Z [2023-07-07 19:58:13,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5595176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5595186Z 2023-07-07T19:59:25.5595450Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5595821Z - self: 2023-07-07T19:59:25.5596116Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T19:59:25.5596375Z - aten_name: 2023-07-07T19:59:25.5596610Z - function_overloads: 2023-07-07T19:59:25.5596775Z - onnx_args: 2023-07-07T19:59:25.5596940Z - onnx_kwargs: 2023-07-07T19:59:25.5597374Z - diagnostic_context: 2023-07-07T19:59:25.5597670Z - Return value: 2023-07-07T19:59:25.5598029Z [2023-07-07 19:58:13,311] torch.onnx: [WARNING] FX Node: call_function:aten.squeeze.dim[name=squeeze]. 2023-07-07T19:59:25.5598277Z ONNX Node: aten_squeeze_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5598288Z 2023-07-07T19:59:25.5598544Z [2023-07-07 19:58:13,311] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5598823Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5598831Z 2023-07-07T19:59:25.5599088Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5599458Z - self: 2023-07-07T19:59:25.5599745Z - node: fx.Node(squeeze[call_function]'aten.squeeze.dim') 2023-07-07T19:59:25.5599932Z - aten_name: 2023-07-07T19:59:25.5600149Z - function_overloads: 2023-07-07T19:59:25.5600332Z - onnx_args: 2023-07-07T19:59:25.5600504Z - onnx_kwargs: 2023-07-07T19:59:25.5600935Z - diagnostic_context: 2023-07-07T19:59:25.5601175Z - Return value: `OnnxFunction(aten_squeeze_dim)` 2023-07-07T19:59:25.5601437Z SUBSKIP [0.0000s] (String padding is not accepted by aten::conv1d) [ 84%] 2023-07-07T19:59:25.5602000Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_conv1d_cpu_float32 SUBSKIP [0.0000s] (String padding is not accepted by aten::conv1d) [ 84%] 2023-07-07T19:59:25.5602581Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_conv1d_cpu_float32 SUBSKIP [0.0000s] (String padding is not accepted by aten::conv1d) [ 84%] 2023-07-07T19:59:25.5603215Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_conv1d_cpu_float32 SUBSKIP [0.0000s] (String padding is not accepted by aten::conv1d) [ 84%] 2023-07-07T19:59:25.5603690Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_conv1d_cpu_float32 PASSED [0.6133s] [ 84%] 2023-07-07T19:59:25.5604809Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_conv1d_cpu_int64 [2023-07-07 19:58:13,396] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T19:59:25.5605074Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5605086Z 2023-07-07T19:59:25.5605435Z [2023-07-07 19:58:13,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5605813Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5605826Z 2023-07-07T19:59:25.5606166Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5606665Z - self: 2023-07-07T19:59:25.5607066Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T19:59:25.5607279Z - aten_name: 2023-07-07T19:59:25.5607528Z - function_overloads: 2023-07-07T19:59:25.5607689Z - onnx_args: 2023-07-07T19:59:25.5607834Z - onnx_kwargs: 2023-07-07T19:59:25.5608246Z - diagnostic_context: 2023-07-07T19:59:25.5608659Z - Return value: 2023-07-07T19:59:25.5608793Z XFAIL [0.0583s] [ 84%] 2023-07-07T19:59:25.5609455Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5610049Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5610695Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5611166Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5611637Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5612099Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5612640Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5613110Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5613618Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5614307Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5614841Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5615328Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5615799Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5616342Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5616864Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5617432Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5617971Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5618516Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5619191Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5619812Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5620315Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 SUBSKIP [0.0000s] (ONNX SoftmaxCrossEntropyLoss op only accept argument[weight] is int type) [ 84%] 2023-07-07T19:59:25.5620705Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_cross_entropy_cpu_float32 PASSED [0.0210s] [ 84%] 2023-07-07T19:59:25.5621057Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_dropout_cpu_float32 XFAIL [0.0183s] [ 85%] 2023-07-07T19:59:25.5621878Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_elu_cpu_float16 [2023-07-07 19:58:13,489] torch.onnx: [WARNING] FX Node: call_function:aten.elu.default[name=elu]. 2023-07-07T19:59:25.5622114Z ONNX Node: aten_elu[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5622131Z 2023-07-07T19:59:25.5622552Z [2023-07-07 19:58:13,489] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5622876Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5622906Z 2023-07-07T19:59:25.5623211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5623708Z - self: 2023-07-07T19:59:25.5624090Z - node: fx.Node(elu[call_function]'aten.elu.default') 2023-07-07T19:59:25.5624252Z - aten_name: 2023-07-07T19:59:25.5624443Z - function_overloads: 2023-07-07T19:59:25.5624609Z - onnx_args: 2023-07-07T19:59:25.5624772Z - onnx_kwargs: 2023-07-07T19:59:25.5625191Z - diagnostic_context: 2023-07-07T19:59:25.5625671Z - Return value: `OnnxFunction(aten_elu)` 2023-07-07T19:59:25.5626033Z [2023-07-07 19:58:13,540] torch.onnx: [WARNING] FX Node: call_function:aten.elu.default[name=elu]. 2023-07-07T19:59:25.5626220Z ONNX Node: aten_elu[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5626230Z 2023-07-07T19:59:25.5626514Z [2023-07-07 19:58:13,540] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5626799Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5626810Z 2023-07-07T19:59:25.5627069Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5627450Z - self: 2023-07-07T19:59:25.5627755Z - node: fx.Node(elu[call_function]'aten.elu.default') 2023-07-07T19:59:25.5627905Z - aten_name: 2023-07-07T19:59:25.5628093Z - function_overloads: 2023-07-07T19:59:25.5628265Z - onnx_args: 2023-07-07T19:59:25.5628437Z - onnx_kwargs: 2023-07-07T19:59:25.5628865Z - diagnostic_context: 2023-07-07T19:59:25.5629068Z - Return value: `OnnxFunction(aten_elu)` 2023-07-07T19:59:25.5629416Z [2023-07-07 19:58:13,589] torch.onnx: [WARNING] FX Node: call_function:aten.elu.default[name=elu]. 2023-07-07T19:59:25.5629630Z ONNX Node: aten_elu[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5629658Z 2023-07-07T19:59:25.5629926Z [2023-07-07 19:58:13,589] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5630207Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5630215Z 2023-07-07T19:59:25.5630478Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5630856Z - self: 2023-07-07T19:59:25.5631095Z - node: fx.Node(elu[call_function]'aten.elu.default') 2023-07-07T19:59:25.5631257Z - aten_name: 2023-07-07T19:59:25.5631440Z - function_overloads: 2023-07-07T19:59:25.5631603Z - onnx_args: 2023-07-07T19:59:25.5631746Z - onnx_kwargs: 2023-07-07T19:59:25.5632167Z - diagnostic_context: 2023-07-07T19:59:25.5632374Z - Return value: `OnnxFunction(aten_elu)` 2023-07-07T19:59:25.5632485Z PASSED [0.1496s] [ 85%] 2023-07-07T19:59:25.5633159Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_elu_cpu_float32 [2023-07-07 19:58:13,635] torch.onnx: [WARNING] FX Node: call_function:aten.elu.default[name=elu]. 2023-07-07T19:59:25.5633353Z ONNX Node: aten_elu[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5633361Z 2023-07-07T19:59:25.5633635Z [2023-07-07 19:58:13,635] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5633965Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5633973Z 2023-07-07T19:59:25.5634226Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5634663Z - self: 2023-07-07T19:59:25.5634949Z - node: fx.Node(elu[call_function]'aten.elu.default') 2023-07-07T19:59:25.5635111Z - aten_name: 2023-07-07T19:59:25.5635303Z - function_overloads: 2023-07-07T19:59:25.5635468Z - onnx_args: 2023-07-07T19:59:25.5635634Z - onnx_kwargs: 2023-07-07T19:59:25.5636052Z - diagnostic_context: 2023-07-07T19:59:25.5636244Z - Return value: `OnnxFunction(aten_elu)` 2023-07-07T19:59:25.5636579Z [2023-07-07 19:58:13,679] torch.onnx: [WARNING] FX Node: call_function:aten.elu.default[name=elu]. 2023-07-07T19:59:25.5636771Z ONNX Node: aten_elu[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5636779Z 2023-07-07T19:59:25.5637071Z [2023-07-07 19:58:13,679] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5637359Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5637370Z 2023-07-07T19:59:25.5637641Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5638070Z - self: 2023-07-07T19:59:25.5638335Z - node: fx.Node(elu[call_function]'aten.elu.default') 2023-07-07T19:59:25.5638597Z - aten_name: 2023-07-07T19:59:25.5638816Z - function_overloads: 2023-07-07T19:59:25.5638985Z - onnx_args: 2023-07-07T19:59:25.5639193Z - onnx_kwargs: 2023-07-07T19:59:25.5639631Z - diagnostic_context: 2023-07-07T19:59:25.5639842Z - Return value: `OnnxFunction(aten_elu)` 2023-07-07T19:59:25.5640197Z [2023-07-07 19:58:13,722] torch.onnx: [WARNING] FX Node: call_function:aten.elu.default[name=elu]. 2023-07-07T19:59:25.5640432Z ONNX Node: aten_elu[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5640440Z 2023-07-07T19:59:25.5640712Z [2023-07-07 19:58:13,722] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5641005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5641013Z 2023-07-07T19:59:25.5641280Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5641689Z - self: 2023-07-07T19:59:25.5641938Z - node: fx.Node(elu[call_function]'aten.elu.default') 2023-07-07T19:59:25.5642111Z - aten_name: 2023-07-07T19:59:25.5642313Z - function_overloads: 2023-07-07T19:59:25.5642482Z - onnx_args: 2023-07-07T19:59:25.5642635Z - onnx_kwargs: 2023-07-07T19:59:25.5643064Z - diagnostic_context: 2023-07-07T19:59:25.5643277Z - Return value: `OnnxFunction(aten_elu)` 2023-07-07T19:59:25.5643409Z PASSED [0.1286s] [ 85%] 2023-07-07T19:59:25.5644175Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_embedding_cpu_float16 [2023-07-07 19:58:13,924] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding]. 2023-07-07T19:59:25.5644503Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5644514Z 2023-07-07T19:59:25.5644806Z [2023-07-07 19:58:13,924] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5645197Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5645207Z 2023-07-07T19:59:25.5645461Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5645870Z - self: 2023-07-07T19:59:25.5646212Z - node: fx.Node(embedding[call_function]'aten.embedding.default') 2023-07-07T19:59:25.5646437Z - aten_name: 2023-07-07T19:59:25.5646624Z - function_overloads: 2023-07-07T19:59:25.5646794Z - onnx_args: 2023-07-07T19:59:25.5646967Z - onnx_kwargs: 2023-07-07T19:59:25.5647456Z - diagnostic_context: 2023-07-07T19:59:25.5647709Z - Return value: `OnnxFunction(aten_embedding)` 2023-07-07T19:59:25.5648100Z [2023-07-07 19:58:13,974] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding]. 2023-07-07T19:59:25.5648332Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5648341Z 2023-07-07T19:59:25.5648640Z [2023-07-07 19:58:13,974] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5648964Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5648977Z 2023-07-07T19:59:25.5649251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5649654Z - self: 2023-07-07T19:59:25.5649986Z - node: fx.Node(embedding[call_function]'aten.embedding.default') 2023-07-07T19:59:25.5650175Z - aten_name: 2023-07-07T19:59:25.5650436Z - function_overloads: 2023-07-07T19:59:25.5650624Z - onnx_args: 2023-07-07T19:59:25.5650814Z - onnx_kwargs: 2023-07-07T19:59:25.5651256Z - diagnostic_context: 2023-07-07T19:59:25.5651524Z - Return value: `OnnxFunction(aten_embedding)` 2023-07-07T19:59:25.5652306Z [2023-07-07 19:58:14,042] torch.onnx: [ERROR] Cannot find symbolic function for aten::embedding_renorm, which should be registered under aten.embedding_renorm.default. 2023-07-07T19:59:25.5652635Z [2023-07-07 19:58:14,042] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5653164Z [2023-07-07 19:58:14,042] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.embedding_renorm.default']}. 2023-07-07T19:59:25.5653412Z [2023-07-07 19:58:14,042] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5653547Z XFAIL [0.3671s] [ 85%] 2023-07-07T19:59:25.5654523Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_embedding_cpu_float32 [2023-07-07 19:58:14,292] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding]. 2023-07-07T19:59:25.5654786Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5654797Z 2023-07-07T19:59:25.5655150Z [2023-07-07 19:58:14,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5655528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5655542Z 2023-07-07T19:59:25.5655880Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5656381Z - self: 2023-07-07T19:59:25.5656998Z - node: fx.Node(embedding[call_function]'aten.embedding.default') 2023-07-07T19:59:25.5657193Z - aten_name: 2023-07-07T19:59:25.5657416Z - function_overloads: 2023-07-07T19:59:25.5657579Z - onnx_args: 2023-07-07T19:59:25.5657750Z - onnx_kwargs: 2023-07-07T19:59:25.5658289Z - diagnostic_context: 2023-07-07T19:59:25.5658582Z - Return value: `OnnxFunction(aten_embedding)` 2023-07-07T19:59:25.5659040Z [2023-07-07 19:58:14,343] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding]. 2023-07-07T19:59:25.5659282Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5659292Z 2023-07-07T19:59:25.5659659Z [2023-07-07 19:58:14,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5660010Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5660018Z 2023-07-07T19:59:25.5660277Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5660662Z - self: 2023-07-07T19:59:25.5660945Z - node: fx.Node(embedding[call_function]'aten.embedding.default') 2023-07-07T19:59:25.5661132Z - aten_name: 2023-07-07T19:59:25.5661351Z - function_overloads: 2023-07-07T19:59:25.5661517Z - onnx_args: 2023-07-07T19:59:25.5661673Z - onnx_kwargs: 2023-07-07T19:59:25.5662093Z - diagnostic_context: 2023-07-07T19:59:25.5662323Z - Return value: `OnnxFunction(aten_embedding)` 2023-07-07T19:59:25.5662940Z [2023-07-07 19:58:14,407] torch.onnx: [ERROR] Cannot find symbolic function for aten::embedding_renorm, which should be registered under aten.embedding_renorm.default. 2023-07-07T19:59:25.5663160Z [2023-07-07 19:58:14,407] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5663633Z [2023-07-07 19:58:14,407] torch.onnx: [ERROR] Unsupported FX nodes: {'call_function': ['aten.embedding_renorm.default']}. 2023-07-07T19:59:25.5663844Z [2023-07-07 19:58:14,407] torch.onnx: [ERROR] None 2023-07-07T19:59:25.5663957Z XFAIL [0.3628s] [ 85%] 2023-07-07T19:59:25.5664469Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool1d_cpu_float32 SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 85%] 2023-07-07T19:59:25.5664954Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool2d_cpu_float32 SKIPPED [0.0001s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 86%] 2023-07-07T19:59:25.5665872Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool2d_cpu_int16 [2023-07-07 19:58:14,517] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5666134Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5666147Z 2023-07-07T19:59:25.5666475Z [2023-07-07 19:58:14,517] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5666835Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5666845Z 2023-07-07T19:59:25.5667140Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5667639Z - self: 2023-07-07T19:59:25.5668025Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5668187Z - aten_name: 2023-07-07T19:59:25.5668390Z - function_overloads: 2023-07-07T19:59:25.5668547Z - onnx_args: 2023-07-07T19:59:25.5668712Z - onnx_kwargs: 2023-07-07T19:59:25.5669166Z - diagnostic_context: 2023-07-07T19:59:25.5669495Z - Return value: 2023-07-07T19:59:25.5669611Z XFAIL [0.0683s] [ 86%] 2023-07-07T19:59:25.5670618Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool2d_cpu_int32 [2023-07-07 19:58:14,596] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5670893Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5670944Z 2023-07-07T19:59:25.5671271Z [2023-07-07 19:58:14,596] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5671595Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5671621Z 2023-07-07T19:59:25.5671912Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5672329Z - self: 2023-07-07T19:59:25.5672755Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5672948Z - aten_name: 2023-07-07T19:59:25.5673151Z - function_overloads: 2023-07-07T19:59:25.5673330Z - onnx_args: 2023-07-07T19:59:25.5673506Z - onnx_kwargs: 2023-07-07T19:59:25.5673934Z - diagnostic_context: 2023-07-07T19:59:25.5674256Z - Return value: 2023-07-07T19:59:25.5674362Z XFAIL [0.0677s] [ 86%] 2023-07-07T19:59:25.5675407Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool2d_cpu_int64 [2023-07-07 19:58:14,647] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5675654Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5675663Z 2023-07-07T19:59:25.5675956Z [2023-07-07 19:58:14,648] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5676246Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5676254Z 2023-07-07T19:59:25.5676503Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5676929Z - self: 2023-07-07T19:59:25.5677286Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5677436Z - aten_name: 2023-07-07T19:59:25.5677634Z - function_overloads: 2023-07-07T19:59:25.5677809Z - onnx_args: 2023-07-07T19:59:25.5677981Z - onnx_kwargs: 2023-07-07T19:59:25.5678464Z - diagnostic_context: 2023-07-07T19:59:25.5678813Z - Return value: 2023-07-07T19:59:25.5678938Z XFAIL [0.0497s] [ 86%] 2023-07-07T19:59:25.5679952Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool2d_cpu_int8 [2023-07-07 19:58:14,700] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5680246Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5680256Z 2023-07-07T19:59:25.5680607Z [2023-07-07 19:58:14,700] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5680950Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5680959Z 2023-07-07T19:59:25.5681271Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5681724Z - self: 2023-07-07T19:59:25.5682211Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5682398Z - aten_name: 2023-07-07T19:59:25.5682631Z - function_overloads: 2023-07-07T19:59:25.5682823Z - onnx_args: 2023-07-07T19:59:25.5683037Z - onnx_kwargs: 2023-07-07T19:59:25.5683562Z - diagnostic_context: 2023-07-07T19:59:25.5683986Z - Return value: 2023-07-07T19:59:25.5684648Z [2023-07-07 19:58:14,750] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5684931Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5684941Z 2023-07-07T19:59:25.5685304Z [2023-07-07 19:58:14,750] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5685659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5685669Z 2023-07-07T19:59:25.5685980Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5686433Z - self: 2023-07-07T19:59:25.5686874Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5687079Z - aten_name: 2023-07-07T19:59:25.5687308Z - function_overloads: 2023-07-07T19:59:25.5687516Z - onnx_args: 2023-07-07T19:59:25.5687708Z - onnx_kwargs: 2023-07-07T19:59:25.5688353Z - diagnostic_context: 2023-07-07T19:59:25.5688718Z - Return value: 2023-07-07T19:59:25.5689244Z [2023-07-07 19:58:14,808] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5689515Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5689527Z 2023-07-07T19:59:25.5689930Z [2023-07-07 19:58:14,808] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5690289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5690304Z 2023-07-07T19:59:25.5690619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5691094Z - self: 2023-07-07T19:59:25.5691539Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5691736Z - aten_name: 2023-07-07T19:59:25.5691980Z - function_overloads: 2023-07-07T19:59:25.5692175Z - onnx_args: 2023-07-07T19:59:25.5692374Z - onnx_kwargs: 2023-07-07T19:59:25.5692837Z - diagnostic_context: 2023-07-07T19:59:25.5693150Z - Return value: 2023-07-07T19:59:25.5693625Z [2023-07-07 19:58:14,871] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5693864Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5693872Z 2023-07-07T19:59:25.5694170Z [2023-07-07 19:58:14,871] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5694476Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5694484Z 2023-07-07T19:59:25.5694731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5695214Z - self: 2023-07-07T19:59:25.5695601Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5695765Z - aten_name: 2023-07-07T19:59:25.5695950Z - function_overloads: 2023-07-07T19:59:25.5696161Z - onnx_args: 2023-07-07T19:59:25.5696319Z - onnx_kwargs: 2023-07-07T19:59:25.5696750Z - diagnostic_context: 2023-07-07T19:59:25.5697032Z - Return value: 2023-07-07T19:59:25.5697448Z [2023-07-07 19:58:14,964] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5697656Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5697664Z 2023-07-07T19:59:25.5697941Z [2023-07-07 19:58:14,964] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5698226Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5698237Z 2023-07-07T19:59:25.5698492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5698855Z - self: 2023-07-07T19:59:25.5699185Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5699354Z - aten_name: 2023-07-07T19:59:25.5699529Z - function_overloads: 2023-07-07T19:59:25.5699735Z - onnx_args: 2023-07-07T19:59:25.5699905Z - onnx_kwargs: 2023-07-07T19:59:25.5700302Z - diagnostic_context: 2023-07-07T19:59:25.5700584Z - Return value: 2023-07-07T19:59:25.5701016Z [2023-07-07 19:58:15,032] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5701233Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5701276Z 2023-07-07T19:59:25.5701551Z [2023-07-07 19:58:15,032] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5701812Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5701837Z 2023-07-07T19:59:25.5702069Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5702433Z - self: 2023-07-07T19:59:25.5702768Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5702930Z - aten_name: 2023-07-07T19:59:25.5703111Z - function_overloads: 2023-07-07T19:59:25.5703272Z - onnx_args: 2023-07-07T19:59:25.5703434Z - onnx_kwargs: 2023-07-07T19:59:25.5703819Z - diagnostic_context: 2023-07-07T19:59:25.5704117Z - Return value: 2023-07-07T19:59:25.5704555Z [2023-07-07 19:58:15,105] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5704771Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5704778Z 2023-07-07T19:59:25.5705046Z [2023-07-07 19:58:15,105] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5705312Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5705320Z 2023-07-07T19:59:25.5705620Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5705990Z - self: 2023-07-07T19:59:25.5706334Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5706473Z - aten_name: 2023-07-07T19:59:25.5706693Z - function_overloads: 2023-07-07T19:59:25.5706852Z - onnx_args: 2023-07-07T19:59:25.5707021Z - onnx_kwargs: 2023-07-07T19:59:25.5707444Z - diagnostic_context: 2023-07-07T19:59:25.5707738Z - Return value: 2023-07-07T19:59:25.5708160Z [2023-07-07 19:58:15,166] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5708381Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5708390Z 2023-07-07T19:59:25.5708648Z [2023-07-07 19:58:15,167] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5708927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5708937Z 2023-07-07T19:59:25.5709228Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5709655Z - self: 2023-07-07T19:59:25.5710059Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5710338Z - aten_name: 2023-07-07T19:59:25.5710551Z - function_overloads: 2023-07-07T19:59:25.5710750Z - onnx_args: 2023-07-07T19:59:25.5710937Z - onnx_kwargs: 2023-07-07T19:59:25.5711461Z - diagnostic_context: 2023-07-07T19:59:25.5711840Z - Return value: 2023-07-07T19:59:25.5712342Z [2023-07-07 19:58:15,222] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5712644Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5712655Z 2023-07-07T19:59:25.5712939Z [2023-07-07 19:58:15,223] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5713226Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5713234Z 2023-07-07T19:59:25.5713500Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5713896Z - self: 2023-07-07T19:59:25.5714244Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5714416Z - aten_name: 2023-07-07T19:59:25.5714711Z - function_overloads: 2023-07-07T19:59:25.5714902Z - onnx_args: 2023-07-07T19:59:25.5715105Z - onnx_kwargs: 2023-07-07T19:59:25.5715607Z - diagnostic_context: 2023-07-07T19:59:25.5715935Z - Return value: 2023-07-07T19:59:25.5716458Z [2023-07-07 19:58:15,272] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5716680Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5716688Z 2023-07-07T19:59:25.5716986Z [2023-07-07 19:58:15,273] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5717362Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5717372Z 2023-07-07T19:59:25.5717647Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5718092Z - self: 2023-07-07T19:59:25.5718499Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5718738Z - aten_name: 2023-07-07T19:59:25.5718972Z - function_overloads: 2023-07-07T19:59:25.5719162Z - onnx_args: 2023-07-07T19:59:25.5719330Z - onnx_kwargs: 2023-07-07T19:59:25.5719831Z - diagnostic_context: 2023-07-07T19:59:25.5720176Z - Return value: 2023-07-07T19:59:25.5720718Z [2023-07-07 19:58:15,324] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5720967Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5720976Z 2023-07-07T19:59:25.5721286Z [2023-07-07 19:58:15,324] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5721632Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5721646Z 2023-07-07T19:59:25.5721959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5722382Z - self: 2023-07-07T19:59:25.5722858Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5723028Z - aten_name: 2023-07-07T19:59:25.5723226Z - function_overloads: 2023-07-07T19:59:25.5723405Z - onnx_args: 2023-07-07T19:59:25.5723577Z - onnx_kwargs: 2023-07-07T19:59:25.5724034Z - diagnostic_context: 2023-07-07T19:59:25.5724349Z - Return value: 2023-07-07T19:59:25.5724991Z [2023-07-07 19:58:15,379] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5725234Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5725242Z 2023-07-07T19:59:25.5725549Z [2023-07-07 19:58:15,379] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5725854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5725862Z 2023-07-07T19:59:25.5726135Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5726559Z - self: 2023-07-07T19:59:25.5726933Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5727110Z - aten_name: 2023-07-07T19:59:25.5727331Z - function_overloads: 2023-07-07T19:59:25.5727515Z - onnx_args: 2023-07-07T19:59:25.5727729Z - onnx_kwargs: 2023-07-07T19:59:25.5728257Z - diagnostic_context: 2023-07-07T19:59:25.5728621Z - Return value: 2023-07-07T19:59:25.5729136Z [2023-07-07 19:58:15,430] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5729394Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5729403Z 2023-07-07T19:59:25.5729846Z [2023-07-07 19:58:15,430] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5730208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5730218Z 2023-07-07T19:59:25.5730542Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5730981Z - self: 2023-07-07T19:59:25.5731461Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5731647Z - aten_name: 2023-07-07T19:59:25.5731871Z - function_overloads: 2023-07-07T19:59:25.5732070Z - onnx_args: 2023-07-07T19:59:25.5732282Z - onnx_kwargs: 2023-07-07T19:59:25.5732803Z - diagnostic_context: 2023-07-07T19:59:25.5733155Z - Return value: 2023-07-07T19:59:25.5733673Z [2023-07-07 19:58:15,479] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5733951Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5733964Z 2023-07-07T19:59:25.5734293Z [2023-07-07 19:58:15,479] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5734655Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5734665Z 2023-07-07T19:59:25.5734986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5735510Z - self: 2023-07-07T19:59:25.5735937Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5736142Z - aten_name: 2023-07-07T19:59:25.5736357Z - function_overloads: 2023-07-07T19:59:25.5736554Z - onnx_args: 2023-07-07T19:59:25.5736759Z - onnx_kwargs: 2023-07-07T19:59:25.5737304Z - diagnostic_context: 2023-07-07T19:59:25.5737739Z - Return value: 2023-07-07T19:59:25.5738285Z [2023-07-07 19:58:15,530] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5738562Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5738571Z 2023-07-07T19:59:25.5738926Z [2023-07-07 19:58:15,530] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5739272Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5739304Z 2023-07-07T19:59:25.5739590Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5740054Z - self: 2023-07-07T19:59:25.5740480Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5740676Z - aten_name: 2023-07-07T19:59:25.5740912Z - function_overloads: 2023-07-07T19:59:25.5741111Z - onnx_args: 2023-07-07T19:59:25.5741330Z - onnx_kwargs: 2023-07-07T19:59:25.5741845Z - diagnostic_context: 2023-07-07T19:59:25.5742224Z - Return value: 2023-07-07T19:59:25.5742794Z [2023-07-07 19:58:15,582] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5743138Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5743150Z 2023-07-07T19:59:25.5743474Z [2023-07-07 19:58:15,582] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5743822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5743836Z 2023-07-07T19:59:25.5744157Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5744682Z - self: 2023-07-07T19:59:25.5745110Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5745301Z - aten_name: 2023-07-07T19:59:25.5745497Z - function_overloads: 2023-07-07T19:59:25.5745659Z - onnx_args: 2023-07-07T19:59:25.5745825Z - onnx_kwargs: 2023-07-07T19:59:25.5746250Z - diagnostic_context: 2023-07-07T19:59:25.5746563Z - Return value: 2023-07-07T19:59:25.5746986Z [2023-07-07 19:58:15,647] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5747201Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5747212Z 2023-07-07T19:59:25.5747474Z [2023-07-07 19:58:15,648] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5747766Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5747775Z 2023-07-07T19:59:25.5748074Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5748448Z - self: 2023-07-07T19:59:25.5748827Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5748993Z - aten_name: 2023-07-07T19:59:25.5749173Z - function_overloads: 2023-07-07T19:59:25.5749336Z - onnx_args: 2023-07-07T19:59:25.5749528Z - onnx_kwargs: 2023-07-07T19:59:25.5750021Z - diagnostic_context: 2023-07-07T19:59:25.5750388Z - Return value: 2023-07-07T19:59:25.5750927Z [2023-07-07 19:58:15,726] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5751208Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5751217Z 2023-07-07T19:59:25.5751558Z [2023-07-07 19:58:15,726] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5751918Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5751928Z 2023-07-07T19:59:25.5752225Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5752683Z - self: 2023-07-07T19:59:25.5753105Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5753295Z - aten_name: 2023-07-07T19:59:25.5753522Z - function_overloads: 2023-07-07T19:59:25.5753721Z - onnx_args: 2023-07-07T19:59:25.5753930Z - onnx_kwargs: 2023-07-07T19:59:25.5754414Z - diagnostic_context: 2023-07-07T19:59:25.5754845Z - Return value: 2023-07-07T19:59:25.5755428Z [2023-07-07 19:58:15,797] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5755643Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5755671Z 2023-07-07T19:59:25.5755978Z [2023-07-07 19:58:15,797] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5756315Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5756371Z 2023-07-07T19:59:25.5756689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5757142Z - self: 2023-07-07T19:59:25.5757564Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5757768Z - aten_name: 2023-07-07T19:59:25.5758004Z - function_overloads: 2023-07-07T19:59:25.5758208Z - onnx_args: 2023-07-07T19:59:25.5758391Z - onnx_kwargs: 2023-07-07T19:59:25.5758934Z - diagnostic_context: 2023-07-07T19:59:25.5759292Z - Return value: 2023-07-07T19:59:25.5759847Z [2023-07-07 19:58:15,879] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5760108Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5760118Z 2023-07-07T19:59:25.5760468Z [2023-07-07 19:58:15,880] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5760886Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5760897Z 2023-07-07T19:59:25.5761217Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5761690Z - self: 2023-07-07T19:59:25.5762090Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5762287Z - aten_name: 2023-07-07T19:59:25.5762576Z - function_overloads: 2023-07-07T19:59:25.5762780Z - onnx_args: 2023-07-07T19:59:25.5762989Z - onnx_kwargs: 2023-07-07T19:59:25.5763524Z - diagnostic_context: 2023-07-07T19:59:25.5763892Z - Return value: 2023-07-07T19:59:25.5764571Z [2023-07-07 19:58:15,957] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5764839Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5764849Z 2023-07-07T19:59:25.5765184Z [2023-07-07 19:58:15,957] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5765522Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5765532Z 2023-07-07T19:59:25.5765847Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5766320Z - self: 2023-07-07T19:59:25.5766759Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5766962Z - aten_name: 2023-07-07T19:59:25.5767189Z - function_overloads: 2023-07-07T19:59:25.5767373Z - onnx_args: 2023-07-07T19:59:25.5767579Z - onnx_kwargs: 2023-07-07T19:59:25.5768121Z - diagnostic_context: 2023-07-07T19:59:25.5768497Z - Return value: 2023-07-07T19:59:25.5769146Z [2023-07-07 19:58:16,057] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5769428Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5769441Z 2023-07-07T19:59:25.5769784Z [2023-07-07 19:58:16,057] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5770194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5770205Z 2023-07-07T19:59:25.5770530Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5771004Z - self: 2023-07-07T19:59:25.5771416Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5771610Z - aten_name: 2023-07-07T19:59:25.5771842Z - function_overloads: 2023-07-07T19:59:25.5772047Z - onnx_args: 2023-07-07T19:59:25.5772249Z - onnx_kwargs: 2023-07-07T19:59:25.5772797Z - diagnostic_context: 2023-07-07T19:59:25.5773157Z - Return value: 2023-07-07T19:59:25.5773725Z [2023-07-07 19:58:16,146] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5773997Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5774007Z 2023-07-07T19:59:25.5774452Z [2023-07-07 19:58:16,146] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5774822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5774832Z 2023-07-07T19:59:25.5775149Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5775631Z - self: 2023-07-07T19:59:25.5776054Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5776332Z - aten_name: 2023-07-07T19:59:25.5776553Z - function_overloads: 2023-07-07T19:59:25.5776758Z - onnx_args: 2023-07-07T19:59:25.5776934Z - onnx_kwargs: 2023-07-07T19:59:25.5777353Z - diagnostic_context: 2023-07-07T19:59:25.5777647Z - Return value: 2023-07-07T19:59:25.5778092Z [2023-07-07 19:58:16,238] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5778326Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5778334Z 2023-07-07T19:59:25.5778614Z [2023-07-07 19:58:16,238] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5778892Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5778902Z 2023-07-07T19:59:25.5779143Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5779541Z - self: 2023-07-07T19:59:25.5779890Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5780053Z - aten_name: 2023-07-07T19:59:25.5780246Z - function_overloads: 2023-07-07T19:59:25.5780419Z - onnx_args: 2023-07-07T19:59:25.5780591Z - onnx_kwargs: 2023-07-07T19:59:25.5781062Z - diagnostic_context: 2023-07-07T19:59:25.5781346Z - Return value: 2023-07-07T19:59:25.5781800Z [2023-07-07 19:58:16,325] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5782039Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5782091Z 2023-07-07T19:59:25.5782407Z [2023-07-07 19:58:16,325] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5782692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5782700Z 2023-07-07T19:59:25.5782989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5783389Z - self: 2023-07-07T19:59:25.5783795Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5783964Z - aten_name: 2023-07-07T19:59:25.5784143Z - function_overloads: 2023-07-07T19:59:25.5784319Z - onnx_args: 2023-07-07T19:59:25.5784528Z - onnx_kwargs: 2023-07-07T19:59:25.5785054Z - diagnostic_context: 2023-07-07T19:59:25.5785421Z - Return value: 2023-07-07T19:59:25.5785969Z [2023-07-07 19:58:16,413] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5786254Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5786316Z 2023-07-07T19:59:25.5786663Z [2023-07-07 19:58:16,413] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5786996Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5787007Z 2023-07-07T19:59:25.5787323Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5787784Z - self: 2023-07-07T19:59:25.5788276Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5788483Z - aten_name: 2023-07-07T19:59:25.5788712Z - function_overloads: 2023-07-07T19:59:25.5788917Z - onnx_args: 2023-07-07T19:59:25.5789123Z - onnx_kwargs: 2023-07-07T19:59:25.5789649Z - diagnostic_context: 2023-07-07T19:59:25.5790035Z - Return value: 2023-07-07T19:59:25.5790581Z [2023-07-07 19:58:16,538] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5790791Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5790799Z 2023-07-07T19:59:25.5791062Z [2023-07-07 19:58:16,538] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5791333Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5791344Z 2023-07-07T19:59:25.5791585Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5791939Z - self: 2023-07-07T19:59:25.5792269Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5792407Z - aten_name: 2023-07-07T19:59:25.5792586Z - function_overloads: 2023-07-07T19:59:25.5792742Z - onnx_args: 2023-07-07T19:59:25.5792965Z - onnx_kwargs: 2023-07-07T19:59:25.5793379Z - diagnostic_context: 2023-07-07T19:59:25.5793661Z - Return value: 2023-07-07T19:59:25.5794082Z [2023-07-07 19:58:16,637] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5794331Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5794339Z 2023-07-07T19:59:25.5794664Z [2023-07-07 19:58:16,638] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5794937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5794945Z 2023-07-07T19:59:25.5795189Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5795545Z - self: 2023-07-07T19:59:25.5795875Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5796031Z - aten_name: 2023-07-07T19:59:25.5796212Z - function_overloads: 2023-07-07T19:59:25.5796373Z - onnx_args: 2023-07-07T19:59:25.5796513Z - onnx_kwargs: 2023-07-07T19:59:25.5796913Z - diagnostic_context: 2023-07-07T19:59:25.5797198Z - Return value: 2023-07-07T19:59:25.5797670Z [2023-07-07 19:58:16,721] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5797877Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5797884Z 2023-07-07T19:59:25.5798149Z [2023-07-07 19:58:16,722] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5798414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5798422Z 2023-07-07T19:59:25.5798661Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5799059Z - self: 2023-07-07T19:59:25.5799387Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5799524Z - aten_name: 2023-07-07T19:59:25.5799700Z - function_overloads: 2023-07-07T19:59:25.5799853Z - onnx_args: 2023-07-07T19:59:25.5800010Z - onnx_kwargs: 2023-07-07T19:59:25.5800408Z - diagnostic_context: 2023-07-07T19:59:25.5800688Z - Return value: 2023-07-07T19:59:25.5801108Z [2023-07-07 19:58:16,860] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5801299Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5801323Z 2023-07-07T19:59:25.5801570Z [2023-07-07 19:58:16,860] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5801836Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5801844Z 2023-07-07T19:59:25.5802080Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5802436Z - self: 2023-07-07T19:59:25.5802779Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5802936Z - aten_name: 2023-07-07T19:59:25.5803155Z - function_overloads: 2023-07-07T19:59:25.5803311Z - onnx_args: 2023-07-07T19:59:25.5803456Z - onnx_kwargs: 2023-07-07T19:59:25.5803856Z - diagnostic_context: 2023-07-07T19:59:25.5804137Z - Return value: 2023-07-07T19:59:25.5804753Z [2023-07-07 19:58:16,962] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5804960Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5804968Z 2023-07-07T19:59:25.5805232Z [2023-07-07 19:58:16,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5805499Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5805506Z 2023-07-07T19:59:25.5805746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5806099Z - self: 2023-07-07T19:59:25.5806407Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5806563Z - aten_name: 2023-07-07T19:59:25.5806743Z - function_overloads: 2023-07-07T19:59:25.5806897Z - onnx_args: 2023-07-07T19:59:25.5807053Z - onnx_kwargs: 2023-07-07T19:59:25.5807449Z - diagnostic_context: 2023-07-07T19:59:25.5807732Z - Return value: 2023-07-07T19:59:25.5808219Z [2023-07-07 19:58:17,082] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5808430Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5808441Z 2023-07-07T19:59:25.5808709Z [2023-07-07 19:58:17,082] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5808973Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5809025Z 2023-07-07T19:59:25.5809266Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5809625Z - self: 2023-07-07T19:59:25.5809953Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5810109Z - aten_name: 2023-07-07T19:59:25.5810288Z - function_overloads: 2023-07-07T19:59:25.5810433Z - onnx_args: 2023-07-07T19:59:25.5810593Z - onnx_kwargs: 2023-07-07T19:59:25.5810995Z - diagnostic_context: 2023-07-07T19:59:25.5811274Z - Return value: 2023-07-07T19:59:25.5811690Z [2023-07-07 19:58:17,179] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5811900Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5811909Z 2023-07-07T19:59:25.5812179Z [2023-07-07 19:58:17,179] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5812447Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5812454Z 2023-07-07T19:59:25.5812700Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5813039Z - self: 2023-07-07T19:59:25.5813438Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5813596Z - aten_name: 2023-07-07T19:59:25.5813773Z - function_overloads: 2023-07-07T19:59:25.5813928Z - onnx_args: 2023-07-07T19:59:25.5814088Z - onnx_kwargs: 2023-07-07T19:59:25.5814495Z - diagnostic_context: 2023-07-07T19:59:25.5814817Z - Return value: 2023-07-07T19:59:25.5815248Z [2023-07-07 19:58:17,264] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5815469Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5815477Z 2023-07-07T19:59:25.5815756Z [2023-07-07 19:58:17,264] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5816023Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5816033Z 2023-07-07T19:59:25.5816280Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5816651Z - self: 2023-07-07T19:59:25.5817002Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5817161Z - aten_name: 2023-07-07T19:59:25.5817329Z - function_overloads: 2023-07-07T19:59:25.5817491Z - onnx_args: 2023-07-07T19:59:25.5817653Z - onnx_kwargs: 2023-07-07T19:59:25.5818078Z - diagnostic_context: 2023-07-07T19:59:25.5818415Z - Return value: 2023-07-07T19:59:25.5818852Z [2023-07-07 19:58:17,356] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5819072Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5819079Z 2023-07-07T19:59:25.5819358Z [2023-07-07 19:58:17,356] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5819681Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5819692Z 2023-07-07T19:59:25.5819930Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5820303Z - self: 2023-07-07T19:59:25.5820650Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5820811Z - aten_name: 2023-07-07T19:59:25.5820995Z - function_overloads: 2023-07-07T19:59:25.5821156Z - onnx_args: 2023-07-07T19:59:25.5821321Z - onnx_kwargs: 2023-07-07T19:59:25.5821737Z - diagnostic_context: 2023-07-07T19:59:25.5822028Z - Return value: 2023-07-07T19:59:25.5822464Z [2023-07-07 19:58:17,433] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5822690Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5822698Z 2023-07-07T19:59:25.5822976Z [2023-07-07 19:58:17,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5823258Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5823269Z 2023-07-07T19:59:25.5823523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5823941Z - self: 2023-07-07T19:59:25.5824291Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5824452Z - aten_name: 2023-07-07T19:59:25.5824628Z - function_overloads: 2023-07-07T19:59:25.5824794Z - onnx_args: 2023-07-07T19:59:25.5824960Z - onnx_kwargs: 2023-07-07T19:59:25.5825398Z - diagnostic_context: 2023-07-07T19:59:25.5825683Z - Return value: 2023-07-07T19:59:25.5826152Z [2023-07-07 19:58:17,522] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5826379Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5826386Z 2023-07-07T19:59:25.5826660Z [2023-07-07 19:58:17,523] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5826937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5826946Z 2023-07-07T19:59:25.5827207Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5827594Z - self: 2023-07-07T19:59:25.5827961Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5828123Z - aten_name: 2023-07-07T19:59:25.5828313Z - function_overloads: 2023-07-07T19:59:25.5828466Z - onnx_args: 2023-07-07T19:59:25.5828622Z - onnx_kwargs: 2023-07-07T19:59:25.5829048Z - diagnostic_context: 2023-07-07T19:59:25.5829330Z - Return value: 2023-07-07T19:59:25.5829769Z [2023-07-07 19:58:17,637] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5829985Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5830031Z 2023-07-07T19:59:25.5830309Z [2023-07-07 19:58:17,637] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5830577Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5830585Z 2023-07-07T19:59:25.5830826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5831182Z - self: 2023-07-07T19:59:25.5831519Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5831664Z - aten_name: 2023-07-07T19:59:25.5831849Z - function_overloads: 2023-07-07T19:59:25.5832009Z - onnx_args: 2023-07-07T19:59:25.5832167Z - onnx_kwargs: 2023-07-07T19:59:25.5832570Z - diagnostic_context: 2023-07-07T19:59:25.5832863Z - Return value: 2023-07-07T19:59:25.5833298Z [2023-07-07 19:58:17,715] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5833494Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5833517Z 2023-07-07T19:59:25.5833768Z [2023-07-07 19:58:17,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5834047Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5834054Z 2023-07-07T19:59:25.5834345Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5834811Z - self: 2023-07-07T19:59:25.5835161Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5835328Z - aten_name: 2023-07-07T19:59:25.5835515Z - function_overloads: 2023-07-07T19:59:25.5835722Z - onnx_args: 2023-07-07T19:59:25.5835876Z - onnx_kwargs: 2023-07-07T19:59:25.5836299Z - diagnostic_context: 2023-07-07T19:59:25.5836597Z - Return value: 2023-07-07T19:59:25.5837035Z [2023-07-07 19:58:17,839] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5837256Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5837265Z 2023-07-07T19:59:25.5837542Z [2023-07-07 19:58:17,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5837823Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5837834Z 2023-07-07T19:59:25.5838090Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5838468Z - self: 2023-07-07T19:59:25.5838801Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5838965Z - aten_name: 2023-07-07T19:59:25.5839150Z - function_overloads: 2023-07-07T19:59:25.5839353Z - onnx_args: 2023-07-07T19:59:25.5839519Z - onnx_kwargs: 2023-07-07T19:59:25.5839948Z - diagnostic_context: 2023-07-07T19:59:25.5840251Z - Return value: 2023-07-07T19:59:25.5840696Z [2023-07-07 19:58:17,946] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5840940Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5840948Z 2023-07-07T19:59:25.5841234Z [2023-07-07 19:58:17,946] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5841518Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5841526Z 2023-07-07T19:59:25.5841783Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5842158Z - self: 2023-07-07T19:59:25.5842509Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5842674Z - aten_name: 2023-07-07T19:59:25.5842861Z - function_overloads: 2023-07-07T19:59:25.5843016Z - onnx_args: 2023-07-07T19:59:25.5843184Z - onnx_kwargs: 2023-07-07T19:59:25.5843616Z - diagnostic_context: 2023-07-07T19:59:25.5843918Z - Return value: 2023-07-07T19:59:25.5844355Z [2023-07-07 19:58:18,055] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5844703Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5844712Z 2023-07-07T19:59:25.5844999Z [2023-07-07 19:58:18,055] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5845280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5845361Z 2023-07-07T19:59:25.5845618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5845979Z - self: 2023-07-07T19:59:25.5846329Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5846536Z - aten_name: 2023-07-07T19:59:25.5846723Z - function_overloads: 2023-07-07T19:59:25.5846887Z - onnx_args: 2023-07-07T19:59:25.5847057Z - onnx_kwargs: 2023-07-07T19:59:25.5847489Z - diagnostic_context: 2023-07-07T19:59:25.5847792Z - Return value: 2023-07-07T19:59:25.5848223Z [2023-07-07 19:58:18,130] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5848445Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5848453Z 2023-07-07T19:59:25.5848736Z [2023-07-07 19:58:18,130] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5849005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5849018Z 2023-07-07T19:59:25.5849261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5849658Z - self: 2023-07-07T19:59:25.5849998Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5850221Z - aten_name: 2023-07-07T19:59:25.5850414Z - function_overloads: 2023-07-07T19:59:25.5850558Z - onnx_args: 2023-07-07T19:59:25.5850723Z - onnx_kwargs: 2023-07-07T19:59:25.5851126Z - diagnostic_context: 2023-07-07T19:59:25.5851438Z - Return value: 2023-07-07T19:59:25.5851941Z [2023-07-07 19:58:18,202] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5852219Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5852231Z 2023-07-07T19:59:25.5852527Z [2023-07-07 19:58:18,202] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5852791Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5852798Z 2023-07-07T19:59:25.5853026Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5853387Z - self: 2023-07-07T19:59:25.5853753Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5853921Z - aten_name: 2023-07-07T19:59:25.5854131Z - function_overloads: 2023-07-07T19:59:25.5854294Z - onnx_args: 2023-07-07T19:59:25.5854454Z - onnx_kwargs: 2023-07-07T19:59:25.5854864Z - diagnostic_context: 2023-07-07T19:59:25.5855176Z - Return value: 2023-07-07T19:59:25.5855600Z [2023-07-07 19:58:18,272] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5855809Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5855816Z 2023-07-07T19:59:25.5856114Z [2023-07-07 19:58:18,273] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5856471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5856480Z 2023-07-07T19:59:25.5856739Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5857131Z - self: 2023-07-07T19:59:25.5857522Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5857686Z - aten_name: 2023-07-07T19:59:25.5857875Z - function_overloads: 2023-07-07T19:59:25.5858055Z - onnx_args: 2023-07-07T19:59:25.5858233Z - onnx_kwargs: 2023-07-07T19:59:25.5858735Z - diagnostic_context: 2023-07-07T19:59:25.5859089Z - Return value: 2023-07-07T19:59:25.5859594Z [2023-07-07 19:58:18,343] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5859864Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5859873Z 2023-07-07T19:59:25.5860224Z [2023-07-07 19:58:18,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5860562Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5860593Z 2023-07-07T19:59:25.5860901Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5861378Z - self: 2023-07-07T19:59:25.5861872Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5862078Z - aten_name: 2023-07-07T19:59:25.5862316Z - function_overloads: 2023-07-07T19:59:25.5862516Z - onnx_args: 2023-07-07T19:59:25.5862715Z - onnx_kwargs: 2023-07-07T19:59:25.5863241Z - diagnostic_context: 2023-07-07T19:59:25.5863583Z - Return value: 2023-07-07T19:59:25.5864133Z [2023-07-07 19:58:18,414] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5864404Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5864414Z 2023-07-07T19:59:25.5864748Z [2023-07-07 19:58:18,414] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5865089Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5865098Z 2023-07-07T19:59:25.5865417Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5865877Z - self: 2023-07-07T19:59:25.5866294Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5866481Z - aten_name: 2023-07-07T19:59:25.5866718Z - function_overloads: 2023-07-07T19:59:25.5866919Z - onnx_args: 2023-07-07T19:59:25.5867121Z - onnx_kwargs: 2023-07-07T19:59:25.5867639Z - diagnostic_context: 2023-07-07T19:59:25.5867972Z - Return value: 2023-07-07T19:59:25.5868501Z [2023-07-07 19:58:18,487] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5868753Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5868764Z 2023-07-07T19:59:25.5869115Z [2023-07-07 19:58:18,487] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5869428Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5869438Z 2023-07-07T19:59:25.5869727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5870156Z - self: 2023-07-07T19:59:25.5870545Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5870728Z - aten_name: 2023-07-07T19:59:25.5870938Z - function_overloads: 2023-07-07T19:59:25.5871132Z - onnx_args: 2023-07-07T19:59:25.5871306Z - onnx_kwargs: 2023-07-07T19:59:25.5871815Z - diagnostic_context: 2023-07-07T19:59:25.5872162Z - Return value: 2023-07-07T19:59:25.5872669Z [2023-07-07 19:58:18,558] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5872921Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5872932Z 2023-07-07T19:59:25.5873244Z [2023-07-07 19:58:18,559] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5873574Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5873583Z 2023-07-07T19:59:25.5873881Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5874381Z - self: 2023-07-07T19:59:25.5874845Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5875034Z - aten_name: 2023-07-07T19:59:25.5875258Z - function_overloads: 2023-07-07T19:59:25.5875447Z - onnx_args: 2023-07-07T19:59:25.5875628Z - onnx_kwargs: 2023-07-07T19:59:25.5876115Z - diagnostic_context: 2023-07-07T19:59:25.5876508Z - Return value: 2023-07-07T19:59:25.5877014Z [2023-07-07 19:58:18,628] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5877233Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5877243Z 2023-07-07T19:59:25.5877563Z [2023-07-07 19:58:18,628] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5877867Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5877875Z 2023-07-07T19:59:25.5878175Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5878610Z - self: 2023-07-07T19:59:25.5879009Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5879197Z - aten_name: 2023-07-07T19:59:25.5879411Z - function_overloads: 2023-07-07T19:59:25.5879595Z - onnx_args: 2023-07-07T19:59:25.5879777Z - onnx_kwargs: 2023-07-07T19:59:25.5880285Z - diagnostic_context: 2023-07-07T19:59:25.5880637Z - Return value: 2023-07-07T19:59:25.5881132Z [2023-07-07 19:58:18,686] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5881439Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5881449Z 2023-07-07T19:59:25.5881762Z [2023-07-07 19:58:18,686] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5882085Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5882097Z 2023-07-07T19:59:25.5882415Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5882808Z - self: 2023-07-07T19:59:25.5883207Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5883392Z - aten_name: 2023-07-07T19:59:25.5883604Z - function_overloads: 2023-07-07T19:59:25.5883793Z - onnx_args: 2023-07-07T19:59:25.5883994Z - onnx_kwargs: 2023-07-07T19:59:25.5884609Z - diagnostic_context: 2023-07-07T19:59:25.5884950Z - Return value: 2023-07-07T19:59:25.5885445Z [2023-07-07 19:58:18,739] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5885704Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5885719Z 2023-07-07T19:59:25.5886052Z [2023-07-07 19:58:18,739] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5886418Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5886428Z 2023-07-07T19:59:25.5886862Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5887364Z - self: 2023-07-07T19:59:25.5887811Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5888015Z - aten_name: 2023-07-07T19:59:25.5888249Z - function_overloads: 2023-07-07T19:59:25.5888439Z - onnx_args: 2023-07-07T19:59:25.5888697Z - onnx_kwargs: 2023-07-07T19:59:25.5889255Z - diagnostic_context: 2023-07-07T19:59:25.5889631Z - Return value: 2023-07-07T19:59:25.5890184Z [2023-07-07 19:58:18,794] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5890468Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5890478Z 2023-07-07T19:59:25.5890830Z [2023-07-07 19:58:18,794] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5891194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5891202Z 2023-07-07T19:59:25.5891525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5891997Z - self: 2023-07-07T19:59:25.5892432Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5892637Z - aten_name: 2023-07-07T19:59:25.5892874Z - function_overloads: 2023-07-07T19:59:25.5893073Z - onnx_args: 2023-07-07T19:59:25.5893285Z - onnx_kwargs: 2023-07-07T19:59:25.5893863Z - diagnostic_context: 2023-07-07T19:59:25.5894244Z - Return value: 2023-07-07T19:59:25.5894959Z [2023-07-07 19:58:18,844] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5895254Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5895265Z 2023-07-07T19:59:25.5895627Z [2023-07-07 19:58:18,844] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5895998Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5896068Z 2023-07-07T19:59:25.5896366Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5896859Z - self: 2023-07-07T19:59:25.5897325Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5897529Z - aten_name: 2023-07-07T19:59:25.5897709Z - function_overloads: 2023-07-07T19:59:25.5897908Z - onnx_args: 2023-07-07T19:59:25.5898105Z - onnx_kwargs: 2023-07-07T19:59:25.5898650Z - diagnostic_context: 2023-07-07T19:59:25.5899017Z - Return value: 2023-07-07T19:59:25.5899566Z [2023-07-07 19:58:18,899] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5899817Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5899827Z 2023-07-07T19:59:25.5900143Z [2023-07-07 19:58:18,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5900490Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5900516Z 2023-07-07T19:59:25.5900781Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5901207Z - self: 2023-07-07T19:59:25.5901586Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5901766Z - aten_name: 2023-07-07T19:59:25.5902015Z - function_overloads: 2023-07-07T19:59:25.5902193Z - onnx_args: 2023-07-07T19:59:25.5902375Z - onnx_kwargs: 2023-07-07T19:59:25.5902802Z - diagnostic_context: 2023-07-07T19:59:25.5903103Z - Return value: 2023-07-07T19:59:25.5903581Z [2023-07-07 19:58:18,952] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5903818Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5903827Z 2023-07-07T19:59:25.5904114Z [2023-07-07 19:58:18,952] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5904407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5904414Z 2023-07-07T19:59:25.5904686Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5905099Z - self: 2023-07-07T19:59:25.5905468Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5905616Z - aten_name: 2023-07-07T19:59:25.5905809Z - function_overloads: 2023-07-07T19:59:25.5905987Z - onnx_args: 2023-07-07T19:59:25.5906186Z - onnx_kwargs: 2023-07-07T19:59:25.5906671Z - diagnostic_context: 2023-07-07T19:59:25.5907030Z - Return value: 2023-07-07T19:59:25.5907526Z [2023-07-07 19:58:19,007] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5907768Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5907779Z 2023-07-07T19:59:25.5908060Z [2023-07-07 19:58:19,007] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5908407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5908415Z 2023-07-07T19:59:25.5908680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5909093Z - self: 2023-07-07T19:59:25.5909480Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5909645Z - aten_name: 2023-07-07T19:59:25.5909829Z - function_overloads: 2023-07-07T19:59:25.5909982Z - onnx_args: 2023-07-07T19:59:25.5910138Z - onnx_kwargs: 2023-07-07T19:59:25.5910565Z - diagnostic_context: 2023-07-07T19:59:25.5910848Z - Return value: 2023-07-07T19:59:25.5911325Z [2023-07-07 19:58:19,062] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5911551Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5911563Z 2023-07-07T19:59:25.5911941Z [2023-07-07 19:58:19,062] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5912251Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5912259Z 2023-07-07T19:59:25.5912525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5912981Z - self: 2023-07-07T19:59:25.5913390Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5913648Z - aten_name: 2023-07-07T19:59:25.5913890Z - function_overloads: 2023-07-07T19:59:25.5914056Z - onnx_args: 2023-07-07T19:59:25.5914215Z - onnx_kwargs: 2023-07-07T19:59:25.5914729Z - diagnostic_context: 2023-07-07T19:59:25.5915017Z - Return value: 2023-07-07T19:59:25.5915459Z [2023-07-07 19:58:19,156] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5915677Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5915702Z 2023-07-07T19:59:25.5915975Z [2023-07-07 19:58:19,156] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5916244Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5916255Z 2023-07-07T19:59:25.5916515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5916879Z - self: 2023-07-07T19:59:25.5917259Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5917439Z - aten_name: 2023-07-07T19:59:25.5917646Z - function_overloads: 2023-07-07T19:59:25.5917846Z - onnx_args: 2023-07-07T19:59:25.5918010Z - onnx_kwargs: 2023-07-07T19:59:25.5918581Z - diagnostic_context: 2023-07-07T19:59:25.5918907Z - Return value: 2023-07-07T19:59:25.5919388Z [2023-07-07 19:58:19,249] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5919574Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5919632Z 2023-07-07T19:59:25.5919839Z [2023-07-07 19:58:19,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5920044Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5920051Z 2023-07-07T19:59:25.5920240Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5920511Z - self: 2023-07-07T19:59:25.5920745Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5920859Z - aten_name: 2023-07-07T19:59:25.5920992Z - function_overloads: 2023-07-07T19:59:25.5921139Z - onnx_args: 2023-07-07T19:59:25.5921314Z - onnx_kwargs: 2023-07-07T19:59:25.5921729Z - diagnostic_context: 2023-07-07T19:59:25.5922011Z - Return value: 2023-07-07T19:59:25.5922426Z [2023-07-07 19:58:19,320] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5922712Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5922724Z 2023-07-07T19:59:25.5923034Z [2023-07-07 19:58:19,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5923361Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5923371Z 2023-07-07T19:59:25.5923633Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5924060Z - self: 2023-07-07T19:59:25.5924616Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5924812Z - aten_name: 2023-07-07T19:59:25.5925026Z - function_overloads: 2023-07-07T19:59:25.5925201Z - onnx_args: 2023-07-07T19:59:25.5925382Z - onnx_kwargs: 2023-07-07T19:59:25.5925853Z - diagnostic_context: 2023-07-07T19:59:25.5926172Z - Return value: 2023-07-07T19:59:25.5926621Z [2023-07-07 19:58:19,388] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5926810Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5926818Z 2023-07-07T19:59:25.5927028Z [2023-07-07 19:58:19,388] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5927238Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5927247Z 2023-07-07T19:59:25.5927434Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5927691Z - self: 2023-07-07T19:59:25.5927939Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5928054Z - aten_name: 2023-07-07T19:59:25.5928188Z - function_overloads: 2023-07-07T19:59:25.5928304Z - onnx_args: 2023-07-07T19:59:25.5928527Z - onnx_kwargs: 2023-07-07T19:59:25.5928839Z - diagnostic_context: 2023-07-07T19:59:25.5929040Z - Return value: 2023-07-07T19:59:25.5929359Z [2023-07-07 19:58:19,460] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5929567Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5929573Z 2023-07-07T19:59:25.5929773Z [2023-07-07 19:58:19,460] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5929978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5929985Z 2023-07-07T19:59:25.5930169Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5930439Z - self: 2023-07-07T19:59:25.5930681Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5930795Z - aten_name: 2023-07-07T19:59:25.5930918Z - function_overloads: 2023-07-07T19:59:25.5931033Z - onnx_args: 2023-07-07T19:59:25.5931151Z - onnx_kwargs: 2023-07-07T19:59:25.5931453Z - diagnostic_context: 2023-07-07T19:59:25.5931663Z - Return value: 2023-07-07T19:59:25.5932033Z [2023-07-07 19:58:19,529] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5932194Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5932200Z 2023-07-07T19:59:25.5932401Z [2023-07-07 19:58:19,529] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5932605Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5932611Z 2023-07-07T19:59:25.5932781Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5933085Z - self: 2023-07-07T19:59:25.5933332Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5933447Z - aten_name: 2023-07-07T19:59:25.5933579Z - function_overloads: 2023-07-07T19:59:25.5933696Z - onnx_args: 2023-07-07T19:59:25.5933816Z - onnx_kwargs: 2023-07-07T19:59:25.5934120Z - diagnostic_context: 2023-07-07T19:59:25.5934321Z - Return value: 2023-07-07T19:59:25.5934635Z [2023-07-07 19:58:19,602] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5934793Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5934802Z 2023-07-07T19:59:25.5935000Z [2023-07-07 19:58:19,602] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5935206Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5935212Z 2023-07-07T19:59:25.5935394Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5935664Z - self: 2023-07-07T19:59:25.5935910Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5936025Z - aten_name: 2023-07-07T19:59:25.5936173Z - function_overloads: 2023-07-07T19:59:25.5936292Z - onnx_args: 2023-07-07T19:59:25.5936409Z - onnx_kwargs: 2023-07-07T19:59:25.5936712Z - diagnostic_context: 2023-07-07T19:59:25.5936926Z - Return value: 2023-07-07T19:59:25.5937269Z [2023-07-07 19:58:19,675] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5937426Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5937432Z 2023-07-07T19:59:25.5937631Z [2023-07-07 19:58:19,675] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5937821Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5937827Z 2023-07-07T19:59:25.5938011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5938276Z - self: 2023-07-07T19:59:25.5938520Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5938635Z - aten_name: 2023-07-07T19:59:25.5938769Z - function_overloads: 2023-07-07T19:59:25.5938883Z - onnx_args: 2023-07-07T19:59:25.5938999Z - onnx_kwargs: 2023-07-07T19:59:25.5939290Z - diagnostic_context: 2023-07-07T19:59:25.5939501Z - Return value: 2023-07-07T19:59:25.5939844Z [2023-07-07 19:58:19,747] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5940004Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5940012Z 2023-07-07T19:59:25.5940208Z [2023-07-07 19:58:19,747] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5940410Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5940445Z 2023-07-07T19:59:25.5940629Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5940897Z - self: 2023-07-07T19:59:25.5941140Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5941240Z - aten_name: 2023-07-07T19:59:25.5941372Z - function_overloads: 2023-07-07T19:59:25.5941489Z - onnx_args: 2023-07-07T19:59:25.5941606Z - onnx_kwargs: 2023-07-07T19:59:25.5941911Z - diagnostic_context: 2023-07-07T19:59:25.5942124Z - Return value: 2023-07-07T19:59:25.5942435Z [2023-07-07 19:58:19,819] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5942595Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5942603Z 2023-07-07T19:59:25.5942786Z [2023-07-07 19:58:19,819] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5942988Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5942994Z 2023-07-07T19:59:25.5943179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5943445Z - self: 2023-07-07T19:59:25.5943721Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5943836Z - aten_name: 2023-07-07T19:59:25.5943969Z - function_overloads: 2023-07-07T19:59:25.5944084Z - onnx_args: 2023-07-07T19:59:25.5944191Z - onnx_kwargs: 2023-07-07T19:59:25.5944494Z - diagnostic_context: 2023-07-07T19:59:25.5944738Z - Return value: 2023-07-07T19:59:25.5945049Z [2023-07-07 19:58:20,131] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5945207Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5945216Z 2023-07-07T19:59:25.5945411Z [2023-07-07 19:58:20,131] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5945612Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5945619Z 2023-07-07T19:59:25.5945799Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5946065Z - self: 2023-07-07T19:59:25.5946299Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5946414Z - aten_name: 2023-07-07T19:59:25.5946547Z - function_overloads: 2023-07-07T19:59:25.5946662Z - onnx_args: 2023-07-07T19:59:25.5946778Z - onnx_kwargs: 2023-07-07T19:59:25.5947110Z - diagnostic_context: 2023-07-07T19:59:25.5947322Z - Return value: 2023-07-07T19:59:25.5947634Z [2023-07-07 19:58:20,299] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5947783Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5947788Z 2023-07-07T19:59:25.5947986Z [2023-07-07 19:58:20,299] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5948219Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5948227Z 2023-07-07T19:59:25.5948416Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5948684Z - self: 2023-07-07T19:59:25.5948928Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5949042Z - aten_name: 2023-07-07T19:59:25.5949174Z - function_overloads: 2023-07-07T19:59:25.5949276Z - onnx_args: 2023-07-07T19:59:25.5949394Z - onnx_kwargs: 2023-07-07T19:59:25.5949695Z - diagnostic_context: 2023-07-07T19:59:25.5949903Z - Return value: 2023-07-07T19:59:25.5950214Z [2023-07-07 19:58:20,373] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5950376Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5950382Z 2023-07-07T19:59:25.5950579Z [2023-07-07 19:58:20,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5950781Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5950787Z 2023-07-07T19:59:25.5950968Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5951249Z - self: 2023-07-07T19:59:25.5951495Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5951610Z - aten_name: 2023-07-07T19:59:25.5951742Z - function_overloads: 2023-07-07T19:59:25.5951861Z - onnx_args: 2023-07-07T19:59:25.5951977Z - onnx_kwargs: 2023-07-07T19:59:25.5952309Z - diagnostic_context: 2023-07-07T19:59:25.5952521Z - Return value: 2023-07-07T19:59:25.5952822Z [2023-07-07 19:58:20,442] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5952980Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5952986Z 2023-07-07T19:59:25.5953183Z [2023-07-07 19:58:20,442] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5953386Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5953392Z 2023-07-07T19:59:25.5953575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5953842Z - self: 2023-07-07T19:59:25.5954087Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5954201Z - aten_name: 2023-07-07T19:59:25.5954333Z - function_overloads: 2023-07-07T19:59:25.5954435Z - onnx_args: 2023-07-07T19:59:25.5954641Z - onnx_kwargs: 2023-07-07T19:59:25.5954981Z - diagnostic_context: 2023-07-07T19:59:25.5955194Z - Return value: 2023-07-07T19:59:25.5955508Z [2023-07-07 19:58:20,529] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5955667Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5955704Z 2023-07-07T19:59:25.5955904Z [2023-07-07 19:58:20,529] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5956108Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5956115Z 2023-07-07T19:59:25.5956284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5956554Z - self: 2023-07-07T19:59:25.5956795Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5956910Z - aten_name: 2023-07-07T19:59:25.5957045Z - function_overloads: 2023-07-07T19:59:25.5957161Z - onnx_args: 2023-07-07T19:59:25.5957279Z - onnx_kwargs: 2023-07-07T19:59:25.5957581Z - diagnostic_context: 2023-07-07T19:59:25.5957784Z - Return value: 2023-07-07T19:59:25.5958100Z [2023-07-07 19:58:20,601] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5958261Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5958267Z 2023-07-07T19:59:25.5958464Z [2023-07-07 19:58:20,601] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5958670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5958676Z 2023-07-07T19:59:25.5958895Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5959168Z - self: 2023-07-07T19:59:25.5959410Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5959526Z - aten_name: 2023-07-07T19:59:25.5959646Z - function_overloads: 2023-07-07T19:59:25.5959791Z - onnx_args: 2023-07-07T19:59:25.5959908Z - onnx_kwargs: 2023-07-07T19:59:25.5960214Z - diagnostic_context: 2023-07-07T19:59:25.5960424Z - Return value: 2023-07-07T19:59:25.5960737Z [2023-07-07 19:58:20,697] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5960895Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5960903Z 2023-07-07T19:59:25.5961101Z [2023-07-07 19:58:20,697] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5961292Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5961313Z 2023-07-07T19:59:25.5961485Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5961753Z - self: 2023-07-07T19:59:25.5961996Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5962110Z - aten_name: 2023-07-07T19:59:25.5962242Z - function_overloads: 2023-07-07T19:59:25.5962383Z - onnx_args: 2023-07-07T19:59:25.5962501Z - onnx_kwargs: 2023-07-07T19:59:25.5962791Z - diagnostic_context: 2023-07-07T19:59:25.5963004Z - Return value: 2023-07-07T19:59:25.5963313Z [2023-07-07 19:58:20,773] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5963527Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5963536Z 2023-07-07T19:59:25.5963734Z [2023-07-07 19:58:20,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5963937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5963943Z 2023-07-07T19:59:25.5964129Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5964534Z - self: 2023-07-07T19:59:25.5964898Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5965053Z - aten_name: 2023-07-07T19:59:25.5965245Z - function_overloads: 2023-07-07T19:59:25.5965410Z - onnx_args: 2023-07-07T19:59:25.5965580Z - onnx_kwargs: 2023-07-07T19:59:25.5965925Z - diagnostic_context: 2023-07-07T19:59:25.5966141Z - Return value: 2023-07-07T19:59:25.5966452Z [2023-07-07 19:58:20,863] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5966609Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5966615Z 2023-07-07T19:59:25.5966802Z [2023-07-07 19:58:20,863] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5967005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5967071Z 2023-07-07T19:59:25.5967258Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5967525Z - self: 2023-07-07T19:59:25.5967773Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5967926Z - aten_name: 2023-07-07T19:59:25.5968058Z - function_overloads: 2023-07-07T19:59:25.5968173Z - onnx_args: 2023-07-07T19:59:25.5968277Z - onnx_kwargs: 2023-07-07T19:59:25.5968584Z - diagnostic_context: 2023-07-07T19:59:25.5968796Z - Return value: 2023-07-07T19:59:25.5969106Z [2023-07-07 19:58:20,950] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5969268Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5969274Z 2023-07-07T19:59:25.5969472Z [2023-07-07 19:58:20,950] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5969678Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5969686Z 2023-07-07T19:59:25.5969868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5970135Z - self: 2023-07-07T19:59:25.5970366Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5970512Z - aten_name: 2023-07-07T19:59:25.5970645Z - function_overloads: 2023-07-07T19:59:25.5970761Z - onnx_args: 2023-07-07T19:59:25.5970879Z - onnx_kwargs: 2023-07-07T19:59:25.5971184Z - diagnostic_context: 2023-07-07T19:59:25.5971396Z - Return value: 2023-07-07T19:59:25.5971702Z [2023-07-07 19:58:21,003] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5971885Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5971904Z 2023-07-07T19:59:25.5972088Z [2023-07-07 19:58:21,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5972288Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5972297Z 2023-07-07T19:59:25.5972481Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5972750Z - self: 2023-07-07T19:59:25.5972991Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5973104Z - aten_name: 2023-07-07T19:59:25.5973235Z - function_overloads: 2023-07-07T19:59:25.5973354Z - onnx_args: 2023-07-07T19:59:25.5973459Z - onnx_kwargs: 2023-07-07T19:59:25.5973761Z - diagnostic_context: 2023-07-07T19:59:25.5973972Z - Return value: 2023-07-07T19:59:25.5974280Z [2023-07-07 19:58:21,055] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5974439Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5974445Z 2023-07-07T19:59:25.5974642Z [2023-07-07 19:58:21,055] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5974869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5974876Z 2023-07-07T19:59:25.5975059Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5975327Z - self: 2023-07-07T19:59:25.5975588Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5975701Z - aten_name: 2023-07-07T19:59:25.5975834Z - function_overloads: 2023-07-07T19:59:25.5975949Z - onnx_args: 2023-07-07T19:59:25.5976065Z - onnx_kwargs: 2023-07-07T19:59:25.5976366Z - diagnostic_context: 2023-07-07T19:59:25.5976578Z - Return value: 2023-07-07T19:59:25.5976875Z [2023-07-07 19:58:21,109] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5977032Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5977040Z 2023-07-07T19:59:25.5977236Z [2023-07-07 19:58:21,109] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5977439Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5977444Z 2023-07-07T19:59:25.5977629Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5977893Z - self: 2023-07-07T19:59:25.5978164Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5978278Z - aten_name: 2023-07-07T19:59:25.5978409Z - function_overloads: 2023-07-07T19:59:25.5978515Z - onnx_args: 2023-07-07T19:59:25.5978630Z - onnx_kwargs: 2023-07-07T19:59:25.5978933Z - diagnostic_context: 2023-07-07T19:59:25.5979177Z - Return value: 2023-07-07T19:59:25.5979484Z [2023-07-07 19:58:21,164] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5979644Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5979649Z 2023-07-07T19:59:25.5979845Z [2023-07-07 19:58:21,164] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5980047Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5980054Z 2023-07-07T19:59:25.5980238Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5980492Z - self: 2023-07-07T19:59:25.5980734Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5980851Z - aten_name: 2023-07-07T19:59:25.5980983Z - function_overloads: 2023-07-07T19:59:25.5981099Z - onnx_args: 2023-07-07T19:59:25.5981216Z - onnx_kwargs: 2023-07-07T19:59:25.5981520Z - diagnostic_context: 2023-07-07T19:59:25.5981717Z - Return value: 2023-07-07T19:59:25.5982027Z [2023-07-07 19:58:21,237] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5982183Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5982189Z 2023-07-07T19:59:25.5982410Z [2023-07-07 19:58:21,237] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5982616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5982624Z 2023-07-07T19:59:25.5982807Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5983102Z - self: 2023-07-07T19:59:25.5983344Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5983457Z - aten_name: 2023-07-07T19:59:25.5983577Z - function_overloads: 2023-07-07T19:59:25.5983695Z - onnx_args: 2023-07-07T19:59:25.5983812Z - onnx_kwargs: 2023-07-07T19:59:25.5984114Z - diagnostic_context: 2023-07-07T19:59:25.5984326Z - Return value: 2023-07-07T19:59:25.5984634Z [2023-07-07 19:58:21,309] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5984794Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5984800Z 2023-07-07T19:59:25.5984997Z [2023-07-07 19:58:21,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5985186Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5985203Z 2023-07-07T19:59:25.5985375Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5985679Z - self: 2023-07-07T19:59:25.5985923Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5986037Z - aten_name: 2023-07-07T19:59:25.5986168Z - function_overloads: 2023-07-07T19:59:25.5986282Z - onnx_args: 2023-07-07T19:59:25.5986398Z - onnx_kwargs: 2023-07-07T19:59:25.5986717Z - diagnostic_context: 2023-07-07T19:59:25.5986929Z - Return value: 2023-07-07T19:59:25.5987235Z [2023-07-07 19:58:21,380] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5987391Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5987397Z 2023-07-07T19:59:25.5987596Z [2023-07-07 19:58:21,380] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5987797Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5987805Z 2023-07-07T19:59:25.5987989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5988255Z - self: 2023-07-07T19:59:25.5988498Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5988601Z - aten_name: 2023-07-07T19:59:25.5988732Z - function_overloads: 2023-07-07T19:59:25.5988847Z - onnx_args: 2023-07-07T19:59:25.5988964Z - onnx_kwargs: 2023-07-07T19:59:25.5989267Z - diagnostic_context: 2023-07-07T19:59:25.5989480Z - Return value: 2023-07-07T19:59:25.5989791Z [2023-07-07 19:58:21,449] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5989976Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5989983Z 2023-07-07T19:59:25.5990168Z [2023-07-07 19:58:21,449] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5990370Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5990405Z 2023-07-07T19:59:25.5990589Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5990855Z - self: 2023-07-07T19:59:25.5991100Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5991215Z - aten_name: 2023-07-07T19:59:25.5991347Z - function_overloads: 2023-07-07T19:59:25.5991461Z - onnx_args: 2023-07-07T19:59:25.5991577Z - onnx_kwargs: 2023-07-07T19:59:25.5991872Z - diagnostic_context: 2023-07-07T19:59:25.5992085Z - Return value: 2023-07-07T19:59:25.5992397Z [2023-07-07 19:58:21,521] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5992559Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5992565Z 2023-07-07T19:59:25.5992761Z [2023-07-07 19:58:21,521] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5992963Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5992969Z 2023-07-07T19:59:25.5993179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5993446Z - self: 2023-07-07T19:59:25.5993690Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5993795Z - aten_name: 2023-07-07T19:59:25.5993926Z - function_overloads: 2023-07-07T19:59:25.5994069Z - onnx_args: 2023-07-07T19:59:25.5994185Z - onnx_kwargs: 2023-07-07T19:59:25.5994580Z - diagnostic_context: 2023-07-07T19:59:25.5994802Z - Return value: 2023-07-07T19:59:25.5995115Z [2023-07-07 19:58:21,605] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5995264Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5995284Z 2023-07-07T19:59:25.5995468Z [2023-07-07 19:58:21,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5995671Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5995677Z 2023-07-07T19:59:25.5995860Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5996130Z - self: 2023-07-07T19:59:25.5996379Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5996492Z - aten_name: 2023-07-07T19:59:25.5996628Z - function_overloads: 2023-07-07T19:59:25.5996745Z - onnx_args: 2023-07-07T19:59:25.5996849Z - onnx_kwargs: 2023-07-07T19:59:25.5997154Z - diagnostic_context: 2023-07-07T19:59:25.5997365Z - Return value: 2023-07-07T19:59:25.5997712Z [2023-07-07 19:58:21,675] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.5997872Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.5997878Z 2023-07-07T19:59:25.5998076Z [2023-07-07 19:58:21,675] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.5998278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.5998311Z 2023-07-07T19:59:25.5998493Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.5998758Z - self: 2023-07-07T19:59:25.5998989Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.5999103Z - aten_name: 2023-07-07T19:59:25.5999234Z - function_overloads: 2023-07-07T19:59:25.5999353Z - onnx_args: 2023-07-07T19:59:25.5999469Z - onnx_kwargs: 2023-07-07T19:59:25.5999772Z - diagnostic_context: 2023-07-07T19:59:25.5999982Z - Return value: 2023-07-07T19:59:25.6000282Z [2023-07-07 19:58:21,746] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6000442Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6000448Z 2023-07-07T19:59:25.6000645Z [2023-07-07 19:58:21,746] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6000875Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6000882Z 2023-07-07T19:59:25.6001068Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6001338Z - self: 2023-07-07T19:59:25.6001579Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6001722Z - aten_name: 2023-07-07T19:59:25.6001852Z - function_overloads: 2023-07-07T19:59:25.6001956Z - onnx_args: 2023-07-07T19:59:25.6002074Z - onnx_kwargs: 2023-07-07T19:59:25.6002376Z - diagnostic_context: 2023-07-07T19:59:25.6002585Z - Return value: 2023-07-07T19:59:25.6002896Z [2023-07-07 19:58:21,821] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6003054Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6003059Z 2023-07-07T19:59:25.6003258Z [2023-07-07 19:58:21,821] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6003457Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6003464Z 2023-07-07T19:59:25.6003646Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6003901Z - self: 2023-07-07T19:59:25.6004142Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6004254Z - aten_name: 2023-07-07T19:59:25.6004539Z - function_overloads: 2023-07-07T19:59:25.6004676Z - onnx_args: 2023-07-07T19:59:25.6004793Z - onnx_kwargs: 2023-07-07T19:59:25.6005098Z - diagnostic_context: 2023-07-07T19:59:25.6005358Z - Return value: 2023-07-07T19:59:25.6005674Z [2023-07-07 19:58:21,894] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6005834Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6005842Z 2023-07-07T19:59:25.6006038Z [2023-07-07 19:58:21,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6006284Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6006290Z 2023-07-07T19:59:25.6006472Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6006743Z - self: 2023-07-07T19:59:25.6006987Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6007103Z - aten_name: 2023-07-07T19:59:25.6007223Z - function_overloads: 2023-07-07T19:59:25.6007338Z - onnx_args: 2023-07-07T19:59:25.6007455Z - onnx_kwargs: 2023-07-07T19:59:25.6007758Z - diagnostic_context: 2023-07-07T19:59:25.6007973Z - Return value: 2023-07-07T19:59:25.6008286Z [2023-07-07 19:58:21,965] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6008443Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6008449Z 2023-07-07T19:59:25.6008681Z [2023-07-07 19:58:21,965] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6008888Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6008894Z 2023-07-07T19:59:25.6009067Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6009335Z - self: 2023-07-07T19:59:25.6009613Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6009728Z - aten_name: 2023-07-07T19:59:25.6009865Z - function_overloads: 2023-07-07T19:59:25.6009979Z - onnx_args: 2023-07-07T19:59:25.6010096Z - onnx_kwargs: 2023-07-07T19:59:25.6010396Z - diagnostic_context: 2023-07-07T19:59:25.6010598Z - Return value: 2023-07-07T19:59:25.6010904Z [2023-07-07 19:58:22,037] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6011064Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6011069Z 2023-07-07T19:59:25.6011265Z [2023-07-07 19:58:22,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6011465Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6011473Z 2023-07-07T19:59:25.6011657Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6011925Z - self: 2023-07-07T19:59:25.6012166Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6012283Z - aten_name: 2023-07-07T19:59:25.6012403Z - function_overloads: 2023-07-07T19:59:25.6012518Z - onnx_args: 2023-07-07T19:59:25.6012635Z - onnx_kwargs: 2023-07-07T19:59:25.6012973Z - diagnostic_context: 2023-07-07T19:59:25.6013186Z - Return value: 2023-07-07T19:59:25.6013496Z [2023-07-07 19:58:22,110] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6013656Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6013690Z 2023-07-07T19:59:25.6013888Z [2023-07-07 19:58:22,110] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6014078Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6014084Z 2023-07-07T19:59:25.6014270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6014538Z - self: 2023-07-07T19:59:25.6014782Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6014896Z - aten_name: 2023-07-07T19:59:25.6015028Z - function_overloads: 2023-07-07T19:59:25.6015144Z - onnx_args: 2023-07-07T19:59:25.6015262Z - onnx_kwargs: 2023-07-07T19:59:25.6015553Z - diagnostic_context: 2023-07-07T19:59:25.6015766Z - Return value: 2023-07-07T19:59:25.6016078Z [2023-07-07 19:58:22,187] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6016268Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6016275Z 2023-07-07T19:59:25.6016473Z [2023-07-07 19:58:22,187] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6016679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6016685Z 2023-07-07T19:59:25.6016867Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6017184Z - self: 2023-07-07T19:59:25.6017424Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6017527Z - aten_name: 2023-07-07T19:59:25.6017661Z - function_overloads: 2023-07-07T19:59:25.6017776Z - onnx_args: 2023-07-07T19:59:25.6017895Z - onnx_kwargs: 2023-07-07T19:59:25.6018201Z - diagnostic_context: 2023-07-07T19:59:25.6018412Z - Return value: 2023-07-07T19:59:25.6018725Z [2023-07-07 19:58:22,260] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6018883Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6018889Z 2023-07-07T19:59:25.6019075Z [2023-07-07 19:58:22,260] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6019282Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6019290Z 2023-07-07T19:59:25.6019473Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6019741Z - self: 2023-07-07T19:59:25.6019986Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6020100Z - aten_name: 2023-07-07T19:59:25.6020233Z - function_overloads: 2023-07-07T19:59:25.6020349Z - onnx_args: 2023-07-07T19:59:25.6020488Z - onnx_kwargs: 2023-07-07T19:59:25.6020792Z - diagnostic_context: 2023-07-07T19:59:25.6021002Z - Return value: 2023-07-07T19:59:25.6021313Z [2023-07-07 19:58:22,348] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6021500Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6021506Z 2023-07-07T19:59:25.6021704Z [2023-07-07 19:58:22,348] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6021908Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6021914Z 2023-07-07T19:59:25.6022098Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6022369Z - self: 2023-07-07T19:59:25.6022600Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6022713Z - aten_name: 2023-07-07T19:59:25.6022847Z - function_overloads: 2023-07-07T19:59:25.6022962Z - onnx_args: 2023-07-07T19:59:25.6023082Z - onnx_kwargs: 2023-07-07T19:59:25.6023387Z - diagnostic_context: 2023-07-07T19:59:25.6023597Z - Return value: 2023-07-07T19:59:25.6023963Z [2023-07-07 19:58:22,421] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6024110Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6024116Z 2023-07-07T19:59:25.6024317Z [2023-07-07 19:58:22,421] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6024521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6024527Z 2023-07-07T19:59:25.6024739Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6025011Z - self: 2023-07-07T19:59:25.6025256Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6025370Z - aten_name: 2023-07-07T19:59:25.6025503Z - function_overloads: 2023-07-07T19:59:25.6025605Z - onnx_args: 2023-07-07T19:59:25.6025723Z - onnx_kwargs: 2023-07-07T19:59:25.6026027Z - diagnostic_context: 2023-07-07T19:59:25.6026240Z - Return value: 2023-07-07T19:59:25.6026548Z [2023-07-07 19:58:22,490] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6026707Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6026715Z 2023-07-07T19:59:25.6026911Z [2023-07-07 19:58:22,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6027114Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6027120Z 2023-07-07T19:59:25.6027302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6027558Z - self: 2023-07-07T19:59:25.6027802Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6027915Z - aten_name: 2023-07-07T19:59:25.6028079Z - function_overloads: 2023-07-07T19:59:25.6028197Z - onnx_args: 2023-07-07T19:59:25.6028313Z - onnx_kwargs: 2023-07-07T19:59:25.6028614Z - diagnostic_context: 2023-07-07T19:59:25.6028826Z - Return value: 2023-07-07T19:59:25.6029152Z [2023-07-07 19:58:22,570] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6029308Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6029314Z 2023-07-07T19:59:25.6029511Z [2023-07-07 19:58:22,570] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6029713Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6029719Z 2023-07-07T19:59:25.6029905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6030170Z - self: 2023-07-07T19:59:25.6030412Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6030528Z - aten_name: 2023-07-07T19:59:25.6030663Z - function_overloads: 2023-07-07T19:59:25.6030767Z - onnx_args: 2023-07-07T19:59:25.6030883Z - onnx_kwargs: 2023-07-07T19:59:25.6031185Z - diagnostic_context: 2023-07-07T19:59:25.6031396Z - Return value: 2023-07-07T19:59:25.6031733Z [2023-07-07 19:58:22,643] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6031895Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6031901Z 2023-07-07T19:59:25.6032097Z [2023-07-07 19:58:22,644] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6032297Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6032330Z 2023-07-07T19:59:25.6032500Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6032769Z - self: 2023-07-07T19:59:25.6033008Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6033121Z - aten_name: 2023-07-07T19:59:25.6033254Z - function_overloads: 2023-07-07T19:59:25.6033369Z - onnx_args: 2023-07-07T19:59:25.6033485Z - onnx_kwargs: 2023-07-07T19:59:25.6033788Z - diagnostic_context: 2023-07-07T19:59:25.6033986Z - Return value: 2023-07-07T19:59:25.6034295Z [2023-07-07 19:58:22,718] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6034540Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6034549Z 2023-07-07T19:59:25.6034751Z [2023-07-07 19:58:22,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6034953Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6034959Z 2023-07-07T19:59:25.6035142Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6035410Z - self: 2023-07-07T19:59:25.6035690Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6035805Z - aten_name: 2023-07-07T19:59:25.6035926Z - function_overloads: 2023-07-07T19:59:25.6036043Z - onnx_args: 2023-07-07T19:59:25.6036162Z - onnx_kwargs: 2023-07-07T19:59:25.6036466Z - diagnostic_context: 2023-07-07T19:59:25.6036711Z - Return value: 2023-07-07T19:59:25.6037017Z [2023-07-07 19:58:22,786] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6037175Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6037180Z 2023-07-07T19:59:25.6037375Z [2023-07-07 19:58:22,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6037566Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6037585Z 2023-07-07T19:59:25.6037754Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6038020Z - self: 2023-07-07T19:59:25.6038264Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6038380Z - aten_name: 2023-07-07T19:59:25.6038513Z - function_overloads: 2023-07-07T19:59:25.6038628Z - onnx_args: 2023-07-07T19:59:25.6038745Z - onnx_kwargs: 2023-07-07T19:59:25.6039071Z - diagnostic_context: 2023-07-07T19:59:25.6039285Z - Return value: 2023-07-07T19:59:25.6039600Z [2023-07-07 19:58:22,850] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6039758Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6039764Z 2023-07-07T19:59:25.6039959Z [2023-07-07 19:58:22,851] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6040202Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6040211Z 2023-07-07T19:59:25.6040394Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6040661Z - self: 2023-07-07T19:59:25.6040905Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6041008Z - aten_name: 2023-07-07T19:59:25.6041139Z - function_overloads: 2023-07-07T19:59:25.6041254Z - onnx_args: 2023-07-07T19:59:25.6041373Z - onnx_kwargs: 2023-07-07T19:59:25.6041675Z - diagnostic_context: 2023-07-07T19:59:25.6041886Z - Return value: 2023-07-07T19:59:25.6042196Z [2023-07-07 19:58:22,906] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6042357Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6042363Z 2023-07-07T19:59:25.6042547Z [2023-07-07 19:58:22,906] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6042749Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6042755Z 2023-07-07T19:59:25.6042936Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6043230Z - self: 2023-07-07T19:59:25.6043474Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6043589Z - aten_name: 2023-07-07T19:59:25.6043723Z - function_overloads: 2023-07-07T19:59:25.6043839Z - onnx_args: 2023-07-07T19:59:25.6043970Z - onnx_kwargs: 2023-07-07T19:59:25.6044274Z - diagnostic_context: 2023-07-07T19:59:25.6044644Z - Return value: 2023-07-07T19:59:25.6044967Z [2023-07-07 19:58:22,962] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6045125Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6045132Z 2023-07-07T19:59:25.6045331Z [2023-07-07 19:58:22,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6045534Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6045541Z 2023-07-07T19:59:25.6045721Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6045991Z - self: 2023-07-07T19:59:25.6046224Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6046338Z - aten_name: 2023-07-07T19:59:25.6046468Z - function_overloads: 2023-07-07T19:59:25.6046585Z - onnx_args: 2023-07-07T19:59:25.6046761Z - onnx_kwargs: 2023-07-07T19:59:25.6047070Z - diagnostic_context: 2023-07-07T19:59:25.6047281Z - Return value: 2023-07-07T19:59:25.6047592Z [2023-07-07 19:58:23,016] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6047740Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6047795Z 2023-07-07T19:59:25.6047982Z [2023-07-07 19:58:23,016] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6048185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6048191Z 2023-07-07T19:59:25.6048374Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6048642Z - self: 2023-07-07T19:59:25.6048889Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6049002Z - aten_name: 2023-07-07T19:59:25.6049136Z - function_overloads: 2023-07-07T19:59:25.6049250Z - onnx_args: 2023-07-07T19:59:25.6049355Z - onnx_kwargs: 2023-07-07T19:59:25.6049656Z - diagnostic_context: 2023-07-07T19:59:25.6049870Z - Return value: 2023-07-07T19:59:25.6050182Z [2023-07-07 19:58:23,067] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6050341Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6050347Z 2023-07-07T19:59:25.6050543Z [2023-07-07 19:58:23,067] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6050743Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6050749Z 2023-07-07T19:59:25.6050963Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6051229Z - self: 2023-07-07T19:59:25.6051459Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6051575Z - aten_name: 2023-07-07T19:59:25.6051745Z - function_overloads: 2023-07-07T19:59:25.6051862Z - onnx_args: 2023-07-07T19:59:25.6051977Z - onnx_kwargs: 2023-07-07T19:59:25.6052282Z - diagnostic_context: 2023-07-07T19:59:25.6052489Z - Return value: 2023-07-07T19:59:25.6052787Z [2023-07-07 19:58:23,140] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6052944Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6052952Z 2023-07-07T19:59:25.6053147Z [2023-07-07 19:58:23,140] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6053346Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6053354Z 2023-07-07T19:59:25.6053536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6053805Z - self: 2023-07-07T19:59:25.6054047Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6054160Z - aten_name: 2023-07-07T19:59:25.6054319Z - function_overloads: 2023-07-07T19:59:25.6054424Z - onnx_args: 2023-07-07T19:59:25.6054541Z - onnx_kwargs: 2023-07-07T19:59:25.6054845Z - diagnostic_context: 2023-07-07T19:59:25.6055058Z - Return value: 2023-07-07T19:59:25.6055363Z [2023-07-07 19:58:23,212] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6055550Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6055558Z 2023-07-07T19:59:25.6055753Z [2023-07-07 19:58:23,212] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6055955Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6055961Z 2023-07-07T19:59:25.6056144Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6056396Z - self: 2023-07-07T19:59:25.6056638Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6056751Z - aten_name: 2023-07-07T19:59:25.6056883Z - function_overloads: 2023-07-07T19:59:25.6056998Z - onnx_args: 2023-07-07T19:59:25.6057114Z - onnx_kwargs: 2023-07-07T19:59:25.6057419Z - diagnostic_context: 2023-07-07T19:59:25.6057620Z - Return value: 2023-07-07T19:59:25.6057929Z [2023-07-07 19:58:23,282] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6058087Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6058095Z 2023-07-07T19:59:25.6058291Z [2023-07-07 19:58:23,283] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6058522Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6058529Z 2023-07-07T19:59:25.6058714Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6058980Z - self: 2023-07-07T19:59:25.6059226Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6059373Z - aten_name: 2023-07-07T19:59:25.6059493Z - function_overloads: 2023-07-07T19:59:25.6059612Z - onnx_args: 2023-07-07T19:59:25.6059730Z - onnx_kwargs: 2023-07-07T19:59:25.6060036Z - diagnostic_context: 2023-07-07T19:59:25.6060245Z - Return value: 2023-07-07T19:59:25.6060555Z [2023-07-07 19:58:23,354] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6060713Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6060718Z 2023-07-07T19:59:25.6060916Z [2023-07-07 19:58:23,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6061107Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6061127Z 2023-07-07T19:59:25.6061297Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6061564Z - self: 2023-07-07T19:59:25.6061834Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6061949Z - aten_name: 2023-07-07T19:59:25.6062081Z - function_overloads: 2023-07-07T19:59:25.6062196Z - onnx_args: 2023-07-07T19:59:25.6062313Z - onnx_kwargs: 2023-07-07T19:59:25.6062604Z - diagnostic_context: 2023-07-07T19:59:25.6062815Z - Return value: 2023-07-07T19:59:25.6063150Z [2023-07-07 19:58:23,422] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6063309Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6063314Z 2023-07-07T19:59:25.6063511Z [2023-07-07 19:58:23,422] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6063712Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6063718Z 2023-07-07T19:59:25.6063899Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6064165Z - self: 2023-07-07T19:59:25.6064407Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6064520Z - aten_name: 2023-07-07T19:59:25.6064641Z - function_overloads: 2023-07-07T19:59:25.6064757Z - onnx_args: 2023-07-07T19:59:25.6064874Z - onnx_kwargs: 2023-07-07T19:59:25.6065178Z - diagnostic_context: 2023-07-07T19:59:25.6065389Z - Return value: 2023-07-07T19:59:25.6065698Z [2023-07-07 19:58:23,494] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6065857Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6065863Z 2023-07-07T19:59:25.6066060Z [2023-07-07 19:58:23,495] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6066290Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6066297Z 2023-07-07T19:59:25.6066482Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6066753Z - self: 2023-07-07T19:59:25.6067025Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6067140Z - aten_name: 2023-07-07T19:59:25.6067272Z - function_overloads: 2023-07-07T19:59:25.6067388Z - onnx_args: 2023-07-07T19:59:25.6067504Z - onnx_kwargs: 2023-07-07T19:59:25.6067797Z - diagnostic_context: 2023-07-07T19:59:25.6068007Z - Return value: 2023-07-07T19:59:25.6068318Z [2023-07-07 19:58:23,563] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6068477Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6068485Z 2023-07-07T19:59:25.6068683Z [2023-07-07 19:58:23,564] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6068889Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6068895Z 2023-07-07T19:59:25.6069081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6069377Z - self: 2023-07-07T19:59:25.6069619Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6069721Z - aten_name: 2023-07-07T19:59:25.6069856Z - function_overloads: 2023-07-07T19:59:25.6069971Z - onnx_args: 2023-07-07T19:59:25.6070089Z - onnx_kwargs: 2023-07-07T19:59:25.6070390Z - diagnostic_context: 2023-07-07T19:59:25.6070630Z - Return value: 2023-07-07T19:59:25.6070940Z [2023-07-07 19:58:23,635] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6071087Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6071106Z 2023-07-07T19:59:25.6071291Z [2023-07-07 19:58:23,635] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6071494Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6071500Z 2023-07-07T19:59:25.6071685Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6071958Z - self: 2023-07-07T19:59:25.6072204Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6072320Z - aten_name: 2023-07-07T19:59:25.6072453Z - function_overloads: 2023-07-07T19:59:25.6072571Z - onnx_args: 2023-07-07T19:59:25.6072675Z - onnx_kwargs: 2023-07-07T19:59:25.6072979Z - diagnostic_context: 2023-07-07T19:59:25.6073191Z - Return value: 2023-07-07T19:59:25.6073499Z [2023-07-07 19:58:23,703] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6073659Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6073693Z 2023-07-07T19:59:25.6073892Z [2023-07-07 19:58:23,703] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6074096Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6074105Z 2023-07-07T19:59:25.6074288Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6074664Z - self: 2023-07-07T19:59:25.6074899Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6075013Z - aten_name: 2023-07-07T19:59:25.6075146Z - function_overloads: 2023-07-07T19:59:25.6075264Z - onnx_args: 2023-07-07T19:59:25.6075381Z - onnx_kwargs: 2023-07-07T19:59:25.6075684Z - diagnostic_context: 2023-07-07T19:59:25.6075898Z - Return value: 2023-07-07T19:59:25.6076193Z [2023-07-07 19:58:23,759] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6076356Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6076365Z 2023-07-07T19:59:25.6076562Z [2023-07-07 19:58:23,759] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6076763Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6076769Z 2023-07-07T19:59:25.6076989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6077257Z - self: 2023-07-07T19:59:25.6077502Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6077616Z - aten_name: 2023-07-07T19:59:25.6077749Z - function_overloads: 2023-07-07T19:59:25.6077852Z - onnx_args: 2023-07-07T19:59:25.6077970Z - onnx_kwargs: 2023-07-07T19:59:25.6078312Z - diagnostic_context: 2023-07-07T19:59:25.6078526Z - Return value: 2023-07-07T19:59:25.6078837Z [2023-07-07 19:58:23,813] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6078997Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6079002Z 2023-07-07T19:59:25.6079200Z [2023-07-07 19:58:23,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6079402Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6079410Z 2023-07-07T19:59:25.6079593Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6079848Z - self: 2023-07-07T19:59:25.6080094Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6080209Z - aten_name: 2023-07-07T19:59:25.6080342Z - function_overloads: 2023-07-07T19:59:25.6080459Z - onnx_args: 2023-07-07T19:59:25.6080576Z - onnx_kwargs: 2023-07-07T19:59:25.6080881Z - diagnostic_context: 2023-07-07T19:59:25.6081094Z - Return value: 2023-07-07T19:59:25.6081392Z [2023-07-07 19:58:23,867] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6081583Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6081590Z 2023-07-07T19:59:25.6081787Z [2023-07-07 19:58:23,868] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6081991Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6082049Z 2023-07-07T19:59:25.6082234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6082501Z - self: 2023-07-07T19:59:25.6082743Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6082860Z - aten_name: 2023-07-07T19:59:25.6082992Z - function_overloads: 2023-07-07T19:59:25.6083098Z - onnx_args: 2023-07-07T19:59:25.6083215Z - onnx_kwargs: 2023-07-07T19:59:25.6083519Z - diagnostic_context: 2023-07-07T19:59:25.6083734Z - Return value: 2023-07-07T19:59:25.6084043Z [2023-07-07 19:58:23,920] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6084206Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6084212Z 2023-07-07T19:59:25.6084532Z [2023-07-07 19:58:23,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6084751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6084812Z 2023-07-07T19:59:25.6084984Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6085261Z - self: 2023-07-07T19:59:25.6085504Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6085617Z - aten_name: 2023-07-07T19:59:25.6085750Z - function_overloads: 2023-07-07T19:59:25.6085905Z - onnx_args: 2023-07-07T19:59:25.6086022Z - onnx_kwargs: 2023-07-07T19:59:25.6086329Z - diagnostic_context: 2023-07-07T19:59:25.6086530Z - Return value: 2023-07-07T19:59:25.6086838Z [2023-07-07 19:58:23,975] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6086996Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6087002Z 2023-07-07T19:59:25.6087200Z [2023-07-07 19:58:23,975] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6087403Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6087409Z 2023-07-07T19:59:25.6087592Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6087863Z - self: 2023-07-07T19:59:25.6088106Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6088220Z - aten_name: 2023-07-07T19:59:25.6088341Z - function_overloads: 2023-07-07T19:59:25.6088456Z - onnx_args: 2023-07-07T19:59:25.6088573Z - onnx_kwargs: 2023-07-07T19:59:25.6088877Z - diagnostic_context: 2023-07-07T19:59:25.6089089Z - Return value: 2023-07-07T19:59:25.6089431Z [2023-07-07 19:58:24,028] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6089591Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6089599Z 2023-07-07T19:59:25.6089796Z [2023-07-07 19:58:24,028] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6090019Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6090025Z 2023-07-07T19:59:25.6090207Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6090473Z - self: 2023-07-07T19:59:25.6090718Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6090831Z - aten_name: 2023-07-07T19:59:25.6090963Z - function_overloads: 2023-07-07T19:59:25.6091082Z - onnx_args: 2023-07-07T19:59:25.6091199Z - onnx_kwargs: 2023-07-07T19:59:25.6091492Z - diagnostic_context: 2023-07-07T19:59:25.6091705Z - Return value: 2023-07-07T19:59:25.6092012Z [2023-07-07 19:58:24,082] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6092173Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6092179Z 2023-07-07T19:59:25.6092375Z [2023-07-07 19:58:24,082] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6092616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6092622Z 2023-07-07T19:59:25.6092810Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6093079Z - self: 2023-07-07T19:59:25.6093320Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6093449Z - aten_name: 2023-07-07T19:59:25.6093582Z - function_overloads: 2023-07-07T19:59:25.6093699Z - onnx_args: 2023-07-07T19:59:25.6093817Z - onnx_kwargs: 2023-07-07T19:59:25.6094118Z - diagnostic_context: 2023-07-07T19:59:25.6094328Z - Return value: 2023-07-07T19:59:25.6094640Z [2023-07-07 19:58:24,138] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6094796Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6094802Z 2023-07-07T19:59:25.6094988Z [2023-07-07 19:58:24,138] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6095188Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6095196Z 2023-07-07T19:59:25.6095378Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6095647Z - self: 2023-07-07T19:59:25.6095890Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6096002Z - aten_name: 2023-07-07T19:59:25.6096131Z - function_overloads: 2023-07-07T19:59:25.6096571Z - onnx_args: 2023-07-07T19:59:25.6096680Z - onnx_kwargs: 2023-07-07T19:59:25.6097059Z - diagnostic_context: 2023-07-07T19:59:25.6097413Z - Return value: 2023-07-07T19:59:25.6097864Z [2023-07-07 19:58:24,193] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6098079Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6098087Z 2023-07-07T19:59:25.6098412Z [2023-07-07 19:58:24,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6098768Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6098777Z 2023-07-07T19:59:25.6099049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6099422Z - self: 2023-07-07T19:59:25.6099879Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6100083Z - aten_name: 2023-07-07T19:59:25.6100277Z - function_overloads: 2023-07-07T19:59:25.6100467Z - onnx_args: 2023-07-07T19:59:25.6100634Z - onnx_kwargs: 2023-07-07T19:59:25.6101189Z - diagnostic_context: 2023-07-07T19:59:25.6101595Z - Return value: 2023-07-07T19:59:25.6102333Z [2023-07-07 19:58:24,245] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6102673Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6102685Z 2023-07-07T19:59:25.6103171Z [2023-07-07 19:58:24,245] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6103507Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6103522Z 2023-07-07T19:59:25.6103868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6104352Z - self: 2023-07-07T19:59:25.6104859Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6105077Z - aten_name: 2023-07-07T19:59:25.6105333Z - function_overloads: 2023-07-07T19:59:25.6105528Z - onnx_args: 2023-07-07T19:59:25.6105749Z - onnx_kwargs: 2023-07-07T19:59:25.6106283Z - diagnostic_context: 2023-07-07T19:59:25.6106654Z - Return value: 2023-07-07T19:59:25.6107177Z [2023-07-07 19:58:24,302] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6107498Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6107509Z 2023-07-07T19:59:25.6107797Z [2023-07-07 19:58:24,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6108004Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6108015Z 2023-07-07T19:59:25.6108199Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6108470Z - self: 2023-07-07T19:59:25.6108716Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6108818Z - aten_name: 2023-07-07T19:59:25.6108950Z - function_overloads: 2023-07-07T19:59:25.6109066Z - onnx_args: 2023-07-07T19:59:25.6109182Z - onnx_kwargs: 2023-07-07T19:59:25.6109557Z - diagnostic_context: 2023-07-07T19:59:25.6109773Z - Return value: 2023-07-07T19:59:25.6110087Z [2023-07-07 19:58:24,355] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6110290Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6110296Z 2023-07-07T19:59:25.6110483Z [2023-07-07 19:58:24,355] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6110688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6110694Z 2023-07-07T19:59:25.6110879Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6111149Z - self: 2023-07-07T19:59:25.6111396Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6111509Z - aten_name: 2023-07-07T19:59:25.6111640Z - function_overloads: 2023-07-07T19:59:25.6111759Z - onnx_args: 2023-07-07T19:59:25.6111863Z - onnx_kwargs: 2023-07-07T19:59:25.6112168Z - diagnostic_context: 2023-07-07T19:59:25.6112379Z - Return value: 2023-07-07T19:59:25.6112692Z [2023-07-07 19:58:24,410] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6112884Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6112890Z 2023-07-07T19:59:25.6113086Z [2023-07-07 19:58:24,410] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6113292Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6113299Z 2023-07-07T19:59:25.6113483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6113779Z - self: 2023-07-07T19:59:25.6114016Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6114128Z - aten_name: 2023-07-07T19:59:25.6114261Z - function_overloads: 2023-07-07T19:59:25.6114379Z - onnx_args: 2023-07-07T19:59:25.6114593Z - onnx_kwargs: 2023-07-07T19:59:25.6114903Z - diagnostic_context: 2023-07-07T19:59:25.6115116Z - Return value: 2023-07-07T19:59:25.6115430Z [2023-07-07 19:58:24,464] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6115576Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6115583Z 2023-07-07T19:59:25.6115783Z [2023-07-07 19:58:24,464] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6115984Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6115992Z 2023-07-07T19:59:25.6116176Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6116442Z - self: 2023-07-07T19:59:25.6116689Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6116801Z - aten_name: 2023-07-07T19:59:25.6116934Z - function_overloads: 2023-07-07T19:59:25.6117072Z - onnx_args: 2023-07-07T19:59:25.6117189Z - onnx_kwargs: 2023-07-07T19:59:25.6117492Z - diagnostic_context: 2023-07-07T19:59:25.6117704Z - Return value: 2023-07-07T19:59:25.6118017Z [2023-07-07 19:58:24,525] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6118206Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6118213Z 2023-07-07T19:59:25.6118407Z [2023-07-07 19:58:24,525] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6118612Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6118619Z 2023-07-07T19:59:25.6118801Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6119436Z - self: 2023-07-07T19:59:25.6119682Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6119798Z - aten_name: 2023-07-07T19:59:25.6120021Z - function_overloads: 2023-07-07T19:59:25.6120141Z - onnx_args: 2023-07-07T19:59:25.6120404Z - onnx_kwargs: 2023-07-07T19:59:25.6120709Z - diagnostic_context: 2023-07-07T19:59:25.6120962Z - Return value: 2023-07-07T19:59:25.6121303Z [2023-07-07 19:58:24,576] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6121466Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6121474Z 2023-07-07T19:59:25.6121672Z [2023-07-07 19:58:24,576] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6121873Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6121879Z 2023-07-07T19:59:25.6122098Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6122365Z - self: 2023-07-07T19:59:25.6122611Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6122723Z - aten_name: 2023-07-07T19:59:25.6122855Z - function_overloads: 2023-07-07T19:59:25.6122961Z - onnx_args: 2023-07-07T19:59:25.6123156Z - onnx_kwargs: 2023-07-07T19:59:25.6123460Z - diagnostic_context: 2023-07-07T19:59:25.6123674Z - Return value: 2023-07-07T19:59:25.6124023Z [2023-07-07 19:58:24,628] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6124183Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6124191Z 2023-07-07T19:59:25.6124522Z [2023-07-07 19:58:24,629] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6124784Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6124790Z 2023-07-07T19:59:25.6124962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6125238Z - self: 2023-07-07T19:59:25.6125481Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6125679Z - aten_name: 2023-07-07T19:59:25.6125816Z - function_overloads: 2023-07-07T19:59:25.6125934Z - onnx_args: 2023-07-07T19:59:25.6126053Z - onnx_kwargs: 2023-07-07T19:59:25.6126357Z - diagnostic_context: 2023-07-07T19:59:25.6126558Z - Return value: 2023-07-07T19:59:25.6126916Z [2023-07-07 19:58:24,679] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6127078Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6127084Z 2023-07-07T19:59:25.6127284Z [2023-07-07 19:58:24,679] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6127486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6127492Z 2023-07-07T19:59:25.6127677Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6127943Z - self: 2023-07-07T19:59:25.6128191Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6128302Z - aten_name: 2023-07-07T19:59:25.6128425Z - function_overloads: 2023-07-07T19:59:25.6128540Z - onnx_args: 2023-07-07T19:59:25.6128658Z - onnx_kwargs: 2023-07-07T19:59:25.6128963Z - diagnostic_context: 2023-07-07T19:59:25.6129210Z - Return value: 2023-07-07T19:59:25.6129524Z [2023-07-07 19:58:24,735] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6129685Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6129691Z 2023-07-07T19:59:25.6129888Z [2023-07-07 19:58:24,735] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6130078Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6130133Z 2023-07-07T19:59:25.6130307Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6130573Z - self: 2023-07-07T19:59:25.6130818Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6130934Z - aten_name: 2023-07-07T19:59:25.6131065Z - function_overloads: 2023-07-07T19:59:25.6131181Z - onnx_args: 2023-07-07T19:59:25.6131298Z - onnx_kwargs: 2023-07-07T19:59:25.6131592Z - diagnostic_context: 2023-07-07T19:59:25.6131803Z - Return value: 2023-07-07T19:59:25.6132111Z [2023-07-07 19:58:24,786] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6132273Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6132282Z 2023-07-07T19:59:25.6132478Z [2023-07-07 19:58:24,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6132681Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6132687Z 2023-07-07T19:59:25.6132873Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6133139Z - self: 2023-07-07T19:59:25.6133412Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6133516Z - aten_name: 2023-07-07T19:59:25.6133649Z - function_overloads: 2023-07-07T19:59:25.6133767Z - onnx_args: 2023-07-07T19:59:25.6133884Z - onnx_kwargs: 2023-07-07T19:59:25.6134188Z - diagnostic_context: 2023-07-07T19:59:25.6134429Z - Return value: 2023-07-07T19:59:25.6134738Z [2023-07-07 19:58:24,836] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6134897Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6134903Z 2023-07-07T19:59:25.6135085Z [2023-07-07 19:58:24,836] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6135294Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6135300Z 2023-07-07T19:59:25.6135484Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6135755Z - self: 2023-07-07T19:59:25.6135997Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6136114Z - aten_name: 2023-07-07T19:59:25.6136246Z - function_overloads: 2023-07-07T19:59:25.6136360Z - onnx_args: 2023-07-07T19:59:25.6136464Z - onnx_kwargs: 2023-07-07T19:59:25.6136793Z - diagnostic_context: 2023-07-07T19:59:25.6137007Z - Return value: 2023-07-07T19:59:25.6137322Z [2023-07-07 19:58:24,891] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6137584Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6137591Z 2023-07-07T19:59:25.6137839Z [2023-07-07 19:58:24,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6138076Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6138084Z 2023-07-07T19:59:25.6138316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6138672Z - self: 2023-07-07T19:59:25.6138904Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6139019Z - aten_name: 2023-07-07T19:59:25.6139150Z - function_overloads: 2023-07-07T19:59:25.6139267Z - onnx_args: 2023-07-07T19:59:25.6139387Z - onnx_kwargs: 2023-07-07T19:59:25.6139691Z - diagnostic_context: 2023-07-07T19:59:25.6139907Z - Return value: 2023-07-07T19:59:25.6140218Z [2023-07-07 19:58:24,943] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6140365Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6140371Z 2023-07-07T19:59:25.6140568Z [2023-07-07 19:58:24,943] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6140771Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6140777Z 2023-07-07T19:59:25.6141004Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6141302Z - self: 2023-07-07T19:59:25.6141548Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6141660Z - aten_name: 2023-07-07T19:59:25.6141795Z - function_overloads: 2023-07-07T19:59:25.6141911Z - onnx_args: 2023-07-07T19:59:25.6142044Z - onnx_kwargs: 2023-07-07T19:59:25.6142348Z - diagnostic_context: 2023-07-07T19:59:25.6142560Z - Return value: 2023-07-07T19:59:25.6142876Z [2023-07-07 19:58:24,994] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6143034Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6143039Z 2023-07-07T19:59:25.6143239Z [2023-07-07 19:58:24,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6143442Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6143448Z 2023-07-07T19:59:25.6143632Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6143899Z - self: 2023-07-07T19:59:25.6144132Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6144244Z - aten_name: 2023-07-07T19:59:25.6144378Z - function_overloads: 2023-07-07T19:59:25.6144494Z - onnx_args: 2023-07-07T19:59:25.6144638Z - onnx_kwargs: 2023-07-07T19:59:25.6144941Z - diagnostic_context: 2023-07-07T19:59:25.6145154Z - Return value: 2023-07-07T19:59:25.6145453Z [2023-07-07 19:58:25,049] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6145609Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6145649Z 2023-07-07T19:59:25.6145849Z [2023-07-07 19:58:25,049] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6146052Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6146058Z 2023-07-07T19:59:25.6146241Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6146512Z - self: 2023-07-07T19:59:25.6146754Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6146867Z - aten_name: 2023-07-07T19:59:25.6147001Z - function_overloads: 2023-07-07T19:59:25.6147104Z - onnx_args: 2023-07-07T19:59:25.6147221Z - onnx_kwargs: 2023-07-07T19:59:25.6147521Z - diagnostic_context: 2023-07-07T19:59:25.6147735Z - Return value: 2023-07-07T19:59:25.6148044Z [2023-07-07 19:58:25,101] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6148202Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6148208Z 2023-07-07T19:59:25.6148408Z [2023-07-07 19:58:25,101] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6148610Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6148616Z 2023-07-07T19:59:25.6148855Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6149112Z - self: 2023-07-07T19:59:25.6149353Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6149470Z - aten_name: 2023-07-07T19:59:25.6149630Z - function_overloads: 2023-07-07T19:59:25.6149745Z - onnx_args: 2023-07-07T19:59:25.6149862Z - onnx_kwargs: 2023-07-07T19:59:25.6150165Z - diagnostic_context: 2023-07-07T19:59:25.6150364Z - Return value: 2023-07-07T19:59:25.6150678Z [2023-07-07 19:58:25,153] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6150840Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6150846Z 2023-07-07T19:59:25.6151044Z [2023-07-07 19:58:25,153] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6151248Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6151255Z 2023-07-07T19:59:25.6151440Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6151709Z - self: 2023-07-07T19:59:25.6151951Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6152066Z - aten_name: 2023-07-07T19:59:25.6152224Z - function_overloads: 2023-07-07T19:59:25.6152342Z - onnx_args: 2023-07-07T19:59:25.6152461Z - onnx_kwargs: 2023-07-07T19:59:25.6152765Z - diagnostic_context: 2023-07-07T19:59:25.6152976Z - Return value: 2023-07-07T19:59:25.6153283Z [2023-07-07 19:58:25,224] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6153525Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6153535Z 2023-07-07T19:59:25.6153825Z [2023-07-07 19:58:25,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6154015Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6154033Z 2023-07-07T19:59:25.6154209Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6154621Z - self: 2023-07-07T19:59:25.6154874Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6154992Z - aten_name: 2023-07-07T19:59:25.6155126Z - function_overloads: 2023-07-07T19:59:25.6155242Z - onnx_args: 2023-07-07T19:59:25.6155365Z - onnx_kwargs: 2023-07-07T19:59:25.6155655Z - diagnostic_context: 2023-07-07T19:59:25.6155869Z - Return value: 2023-07-07T19:59:25.6156180Z [2023-07-07 19:58:25,296] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6156342Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6156348Z 2023-07-07T19:59:25.6156543Z [2023-07-07 19:58:25,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6156788Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6156795Z 2023-07-07T19:59:25.6156978Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6157247Z - self: 2023-07-07T19:59:25.6157490Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6157621Z - aten_name: 2023-07-07T19:59:25.6157756Z - function_overloads: 2023-07-07T19:59:25.6157872Z - onnx_args: 2023-07-07T19:59:25.6157990Z - onnx_kwargs: 2023-07-07T19:59:25.6158295Z - diagnostic_context: 2023-07-07T19:59:25.6158505Z - Return value: 2023-07-07T19:59:25.6158817Z [2023-07-07 19:58:25,366] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6158977Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6158983Z 2023-07-07T19:59:25.6159168Z [2023-07-07 19:58:25,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6159374Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6159383Z 2023-07-07T19:59:25.6159566Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6159831Z - self: 2023-07-07T19:59:25.6160103Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6160217Z - aten_name: 2023-07-07T19:59:25.6160351Z - function_overloads: 2023-07-07T19:59:25.6160465Z - onnx_args: 2023-07-07T19:59:25.6160582Z - onnx_kwargs: 2023-07-07T19:59:25.6160876Z - diagnostic_context: 2023-07-07T19:59:25.6161089Z - Return value: 2023-07-07T19:59:25.6161429Z [2023-07-07 19:58:25,440] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6161590Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6161596Z 2023-07-07T19:59:25.6161793Z [2023-07-07 19:58:25,440] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6161995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6162001Z 2023-07-07T19:59:25.6162182Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6162453Z - self: 2023-07-07T19:59:25.6162696Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6162796Z - aten_name: 2023-07-07T19:59:25.6162931Z - function_overloads: 2023-07-07T19:59:25.6163047Z - onnx_args: 2023-07-07T19:59:25.6163168Z - onnx_kwargs: 2023-07-07T19:59:25.6163472Z - diagnostic_context: 2023-07-07T19:59:25.6163682Z - Return value: 2023-07-07T19:59:25.6163757Z XFAIL [10.7973s] [ 86%] 2023-07-07T19:59:25.6164602Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool2d_cpu_uint8 [2023-07-07 19:58:25,523] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6164830Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6164836Z 2023-07-07T19:59:25.6165043Z [2023-07-07 19:58:25,523] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6165247Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6165255Z 2023-07-07T19:59:25.6165475Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6165744Z - self: 2023-07-07T19:59:25.6165990Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6166105Z - aten_name: 2023-07-07T19:59:25.6166240Z - function_overloads: 2023-07-07T19:59:25.6166343Z - onnx_args: 2023-07-07T19:59:25.6166459Z - onnx_kwargs: 2023-07-07T19:59:25.6166766Z - diagnostic_context: 2023-07-07T19:59:25.6166977Z - Return value: 2023-07-07T19:59:25.6167288Z [2023-07-07 19:58:25,600] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6167451Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6167459Z 2023-07-07T19:59:25.6167656Z [2023-07-07 19:58:25,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6167857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6167862Z 2023-07-07T19:59:25.6168079Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6168334Z - self: 2023-07-07T19:59:25.6168579Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6168694Z - aten_name: 2023-07-07T19:59:25.6168825Z - function_overloads: 2023-07-07T19:59:25.6168985Z - onnx_args: 2023-07-07T19:59:25.6169101Z - onnx_kwargs: 2023-07-07T19:59:25.6169404Z - diagnostic_context: 2023-07-07T19:59:25.6169617Z - Return value: 2023-07-07T19:59:25.6169920Z [2023-07-07 19:58:25,677] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T19:59:25.6170082Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6170088Z 2023-07-07T19:59:25.6170285Z [2023-07-07 19:58:25,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6170490Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6170496Z 2023-07-07T19:59:25.6170677Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6170947Z - self: 2023-07-07T19:59:25.6171191Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T19:59:25.6171305Z - aten_name: 2023-07-07T19:59:25.6171437Z - function_overloads: 2023-07-07T19:59:25.6171540Z - onnx_args: 2023-07-07T19:59:25.6171657Z - onnx_kwargs: 2023-07-07T19:59:25.6171962Z - diagnostic_context: 2023-07-07T19:59:25.6172173Z - Return value: 2023-07-07T19:59:25.6172247Z XFAIL [0.2334s] [ 87%] 2023-07-07T19:59:25.6172844Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 [2023-07-07 19:58:25,762] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6173004Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6173037Z 2023-07-07T19:59:25.6173235Z [2023-07-07 19:58:25,762] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6173425Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6173442Z 2023-07-07T19:59:25.6173614Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6179544Z - self: 2023-07-07T19:59:25.6179869Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6179992Z - aten_name: 2023-07-07T19:59:25.6180126Z - function_overloads: 2023-07-07T19:59:25.6180244Z - onnx_args: 2023-07-07T19:59:25.6180349Z - onnx_kwargs: 2023-07-07T19:59:25.6180661Z - diagnostic_context: 2023-07-07T19:59:25.6180879Z - Return value: 2023-07-07T19:59:25.6181194Z [2023-07-07 19:58:25,835] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6181355Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6181364Z 2023-07-07T19:59:25.6181644Z [2023-07-07 19:58:25,835] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6181854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6181860Z 2023-07-07T19:59:25.6182048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6182320Z - self: 2023-07-07T19:59:25.6182594Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6182714Z - aten_name: 2023-07-07T19:59:25.6182847Z - function_overloads: 2023-07-07T19:59:25.6182964Z - onnx_args: 2023-07-07T19:59:25.6183084Z - onnx_kwargs: 2023-07-07T19:59:25.6183391Z - diagnostic_context: 2023-07-07T19:59:25.6183605Z - Return value: 2023-07-07T19:59:25.6183917Z [2023-07-07 19:58:25,911] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6184066Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6184085Z 2023-07-07T19:59:25.6184273Z [2023-07-07 19:58:25,911] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6184480Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6184489Z 2023-07-07T19:59:25.6184673Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6184942Z - self: 2023-07-07T19:59:25.6185185Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6185301Z - aten_name: 2023-07-07T19:59:25.6185435Z - function_overloads: 2023-07-07T19:59:25.6185551Z - onnx_args: 2023-07-07T19:59:25.6185655Z - onnx_kwargs: 2023-07-07T19:59:25.6186008Z - diagnostic_context: 2023-07-07T19:59:25.6186223Z - Return value: 2023-07-07T19:59:25.6186533Z [2023-07-07 19:58:25,984] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6186727Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6186733Z 2023-07-07T19:59:25.6186933Z [2023-07-07 19:58:25,984] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6187138Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6187146Z 2023-07-07T19:59:25.6187333Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6187607Z - self: 2023-07-07T19:59:25.6187839Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6187952Z - aten_name: 2023-07-07T19:59:25.6188086Z - function_overloads: 2023-07-07T19:59:25.6188205Z - onnx_args: 2023-07-07T19:59:25.6188324Z - onnx_kwargs: 2023-07-07T19:59:25.6188633Z - diagnostic_context: 2023-07-07T19:59:25.6188845Z - Return value: 2023-07-07T19:59:25.6189146Z [2023-07-07 19:58:26,065] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6189334Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6189341Z 2023-07-07T19:59:25.6189540Z [2023-07-07 19:58:26,066] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6189746Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6189752Z 2023-07-07T19:59:25.6189934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6190230Z - self: 2023-07-07T19:59:25.6190478Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6190591Z - aten_name: 2023-07-07T19:59:25.6190724Z - function_overloads: 2023-07-07T19:59:25.6190828Z - onnx_args: 2023-07-07T19:59:25.6190945Z - onnx_kwargs: 2023-07-07T19:59:25.6191250Z - diagnostic_context: 2023-07-07T19:59:25.6191460Z - Return value: 2023-07-07T19:59:25.6191774Z [2023-07-07 19:58:26,137] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6191933Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6191941Z 2023-07-07T19:59:25.6192138Z [2023-07-07 19:58:26,137] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6192340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6192346Z 2023-07-07T19:59:25.6192528Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6192782Z - self: 2023-07-07T19:59:25.6193027Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6193140Z - aten_name: 2023-07-07T19:59:25.6193273Z - function_overloads: 2023-07-07T19:59:25.6193415Z - onnx_args: 2023-07-07T19:59:25.6193533Z - onnx_kwargs: 2023-07-07T19:59:25.6193835Z - diagnostic_context: 2023-07-07T19:59:25.6194037Z - Return value: 2023-07-07T19:59:25.6194347Z [2023-07-07 19:58:26,213] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6194624Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6194630Z 2023-07-07T19:59:25.6194833Z [2023-07-07 19:58:26,214] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6195038Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6195045Z 2023-07-07T19:59:25.6195230Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6195501Z - self: 2023-07-07T19:59:25.6195746Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6195861Z - aten_name: 2023-07-07T19:59:25.6195980Z - function_overloads: 2023-07-07T19:59:25.6196099Z - onnx_args: 2023-07-07T19:59:25.6196218Z - onnx_kwargs: 2023-07-07T19:59:25.6196523Z - diagnostic_context: 2023-07-07T19:59:25.6196735Z - Return value: 2023-07-07T19:59:25.6197082Z [2023-07-07 19:58:26,286] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6197242Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6197248Z 2023-07-07T19:59:25.6197448Z [2023-07-07 19:58:26,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6197638Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6197684Z 2023-07-07T19:59:25.6197858Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6198129Z - self: 2023-07-07T19:59:25.6198369Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6198484Z - aten_name: 2023-07-07T19:59:25.6198615Z - function_overloads: 2023-07-07T19:59:25.6198730Z - onnx_args: 2023-07-07T19:59:25.6198846Z - onnx_kwargs: 2023-07-07T19:59:25.6199138Z - diagnostic_context: 2023-07-07T19:59:25.6199351Z - Return value: 2023-07-07T19:59:25.6199661Z [2023-07-07 19:58:26,360] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6199821Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6199827Z 2023-07-07T19:59:25.6200025Z [2023-07-07 19:58:26,361] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6200226Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6200232Z 2023-07-07T19:59:25.6200414Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6200684Z - self: 2023-07-07T19:59:25.6200925Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6201066Z - aten_name: 2023-07-07T19:59:25.6201187Z - function_overloads: 2023-07-07T19:59:25.6201300Z - onnx_args: 2023-07-07T19:59:25.6201419Z - onnx_kwargs: 2023-07-07T19:59:25.6201727Z - diagnostic_context: 2023-07-07T19:59:25.6201968Z - Return value: 2023-07-07T19:59:25.6202275Z [2023-07-07 19:58:26,432] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6202432Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6202438Z 2023-07-07T19:59:25.6202635Z [2023-07-07 19:58:26,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6202825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6202833Z 2023-07-07T19:59:25.6203017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6203281Z - self: 2023-07-07T19:59:25.6203527Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6203643Z - aten_name: 2023-07-07T19:59:25.6203774Z - function_overloads: 2023-07-07T19:59:25.6203891Z - onnx_args: 2023-07-07T19:59:25.6204007Z - onnx_kwargs: 2023-07-07T19:59:25.6204299Z - diagnostic_context: 2023-07-07T19:59:25.6204805Z - Return value: 2023-07-07T19:59:25.6205135Z [2023-07-07 19:58:26,509] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6205296Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6205302Z 2023-07-07T19:59:25.6205499Z [2023-07-07 19:58:26,509] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6205703Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6205747Z 2023-07-07T19:59:25.6205933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6206202Z - self: 2023-07-07T19:59:25.6206444Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6206547Z - aten_name: 2023-07-07T19:59:25.6206679Z - function_overloads: 2023-07-07T19:59:25.6206796Z - onnx_args: 2023-07-07T19:59:25.6206913Z - onnx_kwargs: 2023-07-07T19:59:25.6207217Z - diagnostic_context: 2023-07-07T19:59:25.6207428Z - Return value: 2023-07-07T19:59:25.6207738Z [2023-07-07 19:58:26,583] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6207888Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6207906Z 2023-07-07T19:59:25.6208090Z [2023-07-07 19:58:26,583] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6208292Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6208298Z 2023-07-07T19:59:25.6208485Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6208752Z - self: 2023-07-07T19:59:25.6209032Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6209149Z - aten_name: 2023-07-07T19:59:25.6209281Z - function_overloads: 2023-07-07T19:59:25.6209399Z - onnx_args: 2023-07-07T19:59:25.6209504Z - onnx_kwargs: 2023-07-07T19:59:25.6209843Z - diagnostic_context: 2023-07-07T19:59:25.6210051Z - Return value: 2023-07-07T19:59:25.6210360Z [2023-07-07 19:58:26,658] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6210519Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6210525Z 2023-07-07T19:59:25.6210722Z [2023-07-07 19:58:26,658] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6210927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6210933Z 2023-07-07T19:59:25.6211116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6211385Z - self: 2023-07-07T19:59:25.6211616Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6211729Z - aten_name: 2023-07-07T19:59:25.6211861Z - function_overloads: 2023-07-07T19:59:25.6211976Z - onnx_args: 2023-07-07T19:59:25.6212093Z - onnx_kwargs: 2023-07-07T19:59:25.6212432Z - diagnostic_context: 2023-07-07T19:59:25.6212644Z - Return value: 2023-07-07T19:59:25.6212941Z [2023-07-07 19:58:26,732] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6213097Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6213103Z 2023-07-07T19:59:25.6213352Z [2023-07-07 19:58:26,732] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6213551Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6213559Z 2023-07-07T19:59:25.6213742Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6214006Z - self: 2023-07-07T19:59:25.6214251Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6214364Z - aten_name: 2023-07-07T19:59:25.6214495Z - function_overloads: 2023-07-07T19:59:25.6214600Z - onnx_args: 2023-07-07T19:59:25.6214717Z - onnx_kwargs: 2023-07-07T19:59:25.6215018Z - diagnostic_context: 2023-07-07T19:59:25.6215227Z - Return value: 2023-07-07T19:59:25.6215538Z [2023-07-07 19:58:26,808] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6215698Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6215703Z 2023-07-07T19:59:25.6215900Z [2023-07-07 19:58:26,808] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6216104Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6216109Z 2023-07-07T19:59:25.6216291Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6216572Z - self: 2023-07-07T19:59:25.6216816Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6216931Z - aten_name: 2023-07-07T19:59:25.6217063Z - function_overloads: 2023-07-07T19:59:25.6217205Z - onnx_args: 2023-07-07T19:59:25.6217322Z - onnx_kwargs: 2023-07-07T19:59:25.6217623Z - diagnostic_context: 2023-07-07T19:59:25.6217832Z - Return value: 2023-07-07T19:59:25.6218132Z [2023-07-07 19:58:26,880] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6218288Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6218294Z 2023-07-07T19:59:25.6218491Z [2023-07-07 19:58:26,880] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6218691Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6218699Z 2023-07-07T19:59:25.6218881Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6219150Z - self: 2023-07-07T19:59:25.6219392Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6219504Z - aten_name: 2023-07-07T19:59:25.6219622Z - function_overloads: 2023-07-07T19:59:25.6219766Z - onnx_args: 2023-07-07T19:59:25.6219884Z - onnx_kwargs: 2023-07-07T19:59:25.6220185Z - diagnostic_context: 2023-07-07T19:59:25.6220396Z - Return value: 2023-07-07T19:59:25.6220705Z [2023-07-07 19:58:26,961] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6220865Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6220898Z 2023-07-07T19:59:25.6221096Z [2023-07-07 19:58:26,961] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6221299Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6221305Z 2023-07-07T19:59:25.6221476Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6221745Z - self: 2023-07-07T19:59:25.6221988Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6222103Z - aten_name: 2023-07-07T19:59:25.6222234Z - function_overloads: 2023-07-07T19:59:25.6222348Z - onnx_args: 2023-07-07T19:59:25.6222464Z - onnx_kwargs: 2023-07-07T19:59:25.6222768Z - diagnostic_context: 2023-07-07T19:59:25.6222970Z - Return value: 2023-07-07T19:59:25.6223282Z [2023-07-07 19:58:27,033] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6223441Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6223447Z 2023-07-07T19:59:25.6223646Z [2023-07-07 19:58:27,033] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6223848Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6223855Z 2023-07-07T19:59:25.6224062Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6224328Z - self: 2023-07-07T19:59:25.6224574Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6224714Z - aten_name: 2023-07-07T19:59:25.6224834Z - function_overloads: 2023-07-07T19:59:25.6224947Z - onnx_args: 2023-07-07T19:59:25.6225064Z - onnx_kwargs: 2023-07-07T19:59:25.6225367Z - diagnostic_context: 2023-07-07T19:59:25.6225579Z - Return value: 2023-07-07T19:59:25.6225890Z [2023-07-07 19:58:27,108] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6226051Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6226056Z 2023-07-07T19:59:25.6226252Z [2023-07-07 19:58:27,108] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6226441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6226449Z 2023-07-07T19:59:25.6226634Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6226899Z - self: 2023-07-07T19:59:25.6227141Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6227289Z - aten_name: 2023-07-07T19:59:25.6227422Z - function_overloads: 2023-07-07T19:59:25.6227537Z - onnx_args: 2023-07-07T19:59:25.6227653Z - onnx_kwargs: 2023-07-07T19:59:25.6227948Z - diagnostic_context: 2023-07-07T19:59:25.6228159Z - Return value: 2023-07-07T19:59:25.6228468Z [2023-07-07 19:58:27,180] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6228652Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6228660Z 2023-07-07T19:59:25.6228856Z [2023-07-07 19:58:27,180] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6229057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6229063Z 2023-07-07T19:59:25.6229249Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6229515Z - self: 2023-07-07T19:59:25.6229759Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6229860Z - aten_name: 2023-07-07T19:59:25.6229989Z - function_overloads: 2023-07-07T19:59:25.6230104Z - onnx_args: 2023-07-07T19:59:25.6230222Z - onnx_kwargs: 2023-07-07T19:59:25.6230526Z - diagnostic_context: 2023-07-07T19:59:25.6230739Z - Return value: 2023-07-07T19:59:25.6231050Z [2023-07-07 19:58:27,257] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6231209Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6231215Z 2023-07-07T19:59:25.6231398Z [2023-07-07 19:58:27,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6231625Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6231631Z 2023-07-07T19:59:25.6231815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6232083Z - self: 2023-07-07T19:59:25.6232326Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6232465Z - aten_name: 2023-07-07T19:59:25.6232595Z - function_overloads: 2023-07-07T19:59:25.6232709Z - onnx_args: 2023-07-07T19:59:25.6232813Z - onnx_kwargs: 2023-07-07T19:59:25.6233122Z - diagnostic_context: 2023-07-07T19:59:25.6233333Z - Return value: 2023-07-07T19:59:25.6233647Z [2023-07-07 19:58:27,330] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6233806Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6233812Z 2023-07-07T19:59:25.6234007Z [2023-07-07 19:58:27,330] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6234210Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6234218Z 2023-07-07T19:59:25.6234400Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6234746Z - self: 2023-07-07T19:59:25.6235008Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6235123Z - aten_name: 2023-07-07T19:59:25.6235255Z - function_overloads: 2023-07-07T19:59:25.6235372Z - onnx_args: 2023-07-07T19:59:25.6235491Z - onnx_kwargs: 2023-07-07T19:59:25.6235794Z - diagnostic_context: 2023-07-07T19:59:25.6236004Z - Return value: 2023-07-07T19:59:25.6236350Z [2023-07-07 19:58:27,406] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6236498Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6236504Z 2023-07-07T19:59:25.6236700Z [2023-07-07 19:58:27,406] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6236903Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6236908Z 2023-07-07T19:59:25.6237091Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6237360Z - self: 2023-07-07T19:59:25.6237600Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6237714Z - aten_name: 2023-07-07T19:59:25.6237848Z - function_overloads: 2023-07-07T19:59:25.6237951Z - onnx_args: 2023-07-07T19:59:25.6238069Z - onnx_kwargs: 2023-07-07T19:59:25.6238372Z - diagnostic_context: 2023-07-07T19:59:25.6238583Z - Return value: 2023-07-07T19:59:25.6238895Z [2023-07-07 19:58:27,479] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6239052Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6239058Z 2023-07-07T19:59:25.6239292Z [2023-07-07 19:58:27,479] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6239494Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6239500Z 2023-07-07T19:59:25.6239685Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6239937Z - self: 2023-07-07T19:59:25.6240207Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6240319Z - aten_name: 2023-07-07T19:59:25.6240448Z - function_overloads: 2023-07-07T19:59:25.6240562Z - onnx_args: 2023-07-07T19:59:25.6240680Z - onnx_kwargs: 2023-07-07T19:59:25.6240983Z - diagnostic_context: 2023-07-07T19:59:25.6241195Z - Return value: 2023-07-07T19:59:25.6241492Z [2023-07-07 19:58:27,567] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6241650Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6241659Z 2023-07-07T19:59:25.6241853Z [2023-07-07 19:58:27,567] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6242057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6242062Z 2023-07-07T19:59:25.6242246Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6242539Z - self: 2023-07-07T19:59:25.6242784Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6242896Z - aten_name: 2023-07-07T19:59:25.6243029Z - function_overloads: 2023-07-07T19:59:25.6243131Z - onnx_args: 2023-07-07T19:59:25.6243247Z - onnx_kwargs: 2023-07-07T19:59:25.6243549Z - diagnostic_context: 2023-07-07T19:59:25.6243789Z - Return value: 2023-07-07T19:59:25.6244103Z [2023-07-07 19:58:27,643] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6244261Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6244266Z 2023-07-07T19:59:25.6244626Z [2023-07-07 19:58:27,643] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6244872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6244878Z 2023-07-07T19:59:25.6245051Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6245321Z - self: 2023-07-07T19:59:25.6245563Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6245679Z - aten_name: 2023-07-07T19:59:25.6245815Z - function_overloads: 2023-07-07T19:59:25.6245932Z - onnx_args: 2023-07-07T19:59:25.6246048Z - onnx_kwargs: 2023-07-07T19:59:25.6246351Z - diagnostic_context: 2023-07-07T19:59:25.6246550Z - Return value: 2023-07-07T19:59:25.6246864Z [2023-07-07 19:58:27,718] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6247078Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6247085Z 2023-07-07T19:59:25.6247283Z [2023-07-07 19:58:27,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6247486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6247494Z 2023-07-07T19:59:25.6247678Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6247982Z - self: 2023-07-07T19:59:25.6248226Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6248339Z - aten_name: 2023-07-07T19:59:25.6248460Z - function_overloads: 2023-07-07T19:59:25.6248576Z - onnx_args: 2023-07-07T19:59:25.6248694Z - onnx_kwargs: 2023-07-07T19:59:25.6249004Z - diagnostic_context: 2023-07-07T19:59:25.6249216Z - Return value: 2023-07-07T19:59:25.6249526Z [2023-07-07 19:58:27,775] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6249687Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6249695Z 2023-07-07T19:59:25.6249890Z [2023-07-07 19:58:27,775] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6250080Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6250098Z 2023-07-07T19:59:25.6250305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6250574Z - self: 2023-07-07T19:59:25.6250817Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6250930Z - aten_name: 2023-07-07T19:59:25.6251060Z - function_overloads: 2023-07-07T19:59:25.6251174Z - onnx_args: 2023-07-07T19:59:25.6251323Z - onnx_kwargs: 2023-07-07T19:59:25.6251611Z - diagnostic_context: 2023-07-07T19:59:25.6251825Z - Return value: 2023-07-07T19:59:25.6252132Z [2023-07-07 19:58:27,837] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6252290Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6252296Z 2023-07-07T19:59:25.6252493Z [2023-07-07 19:58:27,838] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6252698Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6252704Z 2023-07-07T19:59:25.6252888Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6253155Z - self: 2023-07-07T19:59:25.6253398Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6253501Z - aten_name: 2023-07-07T19:59:25.6253632Z - function_overloads: 2023-07-07T19:59:25.6253746Z - onnx_args: 2023-07-07T19:59:25.6253862Z - onnx_kwargs: 2023-07-07T19:59:25.6254168Z - diagnostic_context: 2023-07-07T19:59:25.6254381Z - Return value: 2023-07-07T19:59:25.6254718Z [2023-07-07 19:58:27,890] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6254878Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6254884Z 2023-07-07T19:59:25.6255068Z [2023-07-07 19:58:27,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6255272Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6255310Z 2023-07-07T19:59:25.6255493Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6255762Z - self: 2023-07-07T19:59:25.6256005Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6256119Z - aten_name: 2023-07-07T19:59:25.6256251Z - function_overloads: 2023-07-07T19:59:25.6256366Z - onnx_args: 2023-07-07T19:59:25.6256472Z - onnx_kwargs: 2023-07-07T19:59:25.6256775Z - diagnostic_context: 2023-07-07T19:59:25.6256986Z - Return value: 2023-07-07T19:59:25.6257294Z [2023-07-07 19:58:27,952] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6257454Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6257460Z 2023-07-07T19:59:25.6257656Z [2023-07-07 19:58:27,952] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6257889Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6257896Z 2023-07-07T19:59:25.6258080Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6258350Z - self: 2023-07-07T19:59:25.6258593Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6258694Z - aten_name: 2023-07-07T19:59:25.6258858Z - function_overloads: 2023-07-07T19:59:25.6258974Z - onnx_args: 2023-07-07T19:59:25.6259093Z - onnx_kwargs: 2023-07-07T19:59:25.6259395Z - diagnostic_context: 2023-07-07T19:59:25.6259605Z - Return value: 2023-07-07T19:59:25.6259916Z [2023-07-07 19:58:28,025] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6260061Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6260078Z 2023-07-07T19:59:25.6260266Z [2023-07-07 19:58:28,025] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6260467Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6260473Z 2023-07-07T19:59:25.6260654Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6260922Z - self: 2023-07-07T19:59:25.6261167Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6261280Z - aten_name: 2023-07-07T19:59:25.6261412Z - function_overloads: 2023-07-07T19:59:25.6261524Z - onnx_args: 2023-07-07T19:59:25.6261630Z - onnx_kwargs: 2023-07-07T19:59:25.6261930Z - diagnostic_context: 2023-07-07T19:59:25.6262140Z - Return value: 2023-07-07T19:59:25.6262476Z [2023-07-07 19:58:28,100] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6262636Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6262644Z 2023-07-07T19:59:25.6262842Z [2023-07-07 19:58:28,100] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6263075Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6263081Z 2023-07-07T19:59:25.6263264Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6263533Z - self: 2023-07-07T19:59:25.6263762Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6263875Z - aten_name: 2023-07-07T19:59:25.6264009Z - function_overloads: 2023-07-07T19:59:25.6264123Z - onnx_args: 2023-07-07T19:59:25.6264238Z - onnx_kwargs: 2023-07-07T19:59:25.6264541Z - diagnostic_context: 2023-07-07T19:59:25.6264754Z - Return value: 2023-07-07T19:59:25.6265056Z [2023-07-07 19:58:28,171] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6265212Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6265218Z 2023-07-07T19:59:25.6265446Z [2023-07-07 19:58:28,171] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6265648Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6265654Z 2023-07-07T19:59:25.6265841Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6266106Z - self: 2023-07-07T19:59:25.6266346Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6266489Z - aten_name: 2023-07-07T19:59:25.6266623Z - function_overloads: 2023-07-07T19:59:25.6266725Z - onnx_args: 2023-07-07T19:59:25.6266841Z - onnx_kwargs: 2023-07-07T19:59:25.6267142Z - diagnostic_context: 2023-07-07T19:59:25.6267352Z - Return value: 2023-07-07T19:59:25.6267658Z [2023-07-07 19:58:28,238] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6267817Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6267823Z 2023-07-07T19:59:25.6268020Z [2023-07-07 19:58:28,238] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6268222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6268230Z 2023-07-07T19:59:25.6268412Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6268672Z - self: 2023-07-07T19:59:25.6268913Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6269026Z - aten_name: 2023-07-07T19:59:25.6269160Z - function_overloads: 2023-07-07T19:59:25.6269274Z - onnx_args: 2023-07-07T19:59:25.6269390Z - onnx_kwargs: 2023-07-07T19:59:25.6269719Z - diagnostic_context: 2023-07-07T19:59:25.6269920Z - Return value: 2023-07-07T19:59:25.6270228Z [2023-07-07 19:58:28,300] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6270389Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6270420Z 2023-07-07T19:59:25.6270618Z [2023-07-07 19:58:28,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6270817Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6270823Z 2023-07-07T19:59:25.6271007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6271271Z - self: 2023-07-07T19:59:25.6271517Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6271631Z - aten_name: 2023-07-07T19:59:25.6271750Z - function_overloads: 2023-07-07T19:59:25.6271864Z - onnx_args: 2023-07-07T19:59:25.6271983Z - onnx_kwargs: 2023-07-07T19:59:25.6272286Z - diagnostic_context: 2023-07-07T19:59:25.6272498Z - Return value: 2023-07-07T19:59:25.6272807Z [2023-07-07 19:58:28,379] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6272965Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6273022Z 2023-07-07T19:59:25.6273220Z [2023-07-07 19:58:28,379] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6273424Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6273430Z 2023-07-07T19:59:25.6273600Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6273866Z - self: 2023-07-07T19:59:25.6274133Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6274249Z - aten_name: 2023-07-07T19:59:25.6274379Z - function_overloads: 2023-07-07T19:59:25.6274608Z - onnx_args: 2023-07-07T19:59:25.6274729Z - onnx_kwargs: 2023-07-07T19:59:25.6275024Z - diagnostic_context: 2023-07-07T19:59:25.6275236Z - Return value: 2023-07-07T19:59:25.6275550Z [2023-07-07 19:58:28,468] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6275708Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6275714Z 2023-07-07T19:59:25.6275910Z [2023-07-07 19:58:28,468] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6276115Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6276123Z 2023-07-07T19:59:25.6276307Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6276576Z - self: 2023-07-07T19:59:25.6276821Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6276935Z - aten_name: 2023-07-07T19:59:25.6277054Z - function_overloads: 2023-07-07T19:59:25.6277168Z - onnx_args: 2023-07-07T19:59:25.6277320Z - onnx_kwargs: 2023-07-07T19:59:25.6277624Z - diagnostic_context: 2023-07-07T19:59:25.6277836Z - Return value: 2023-07-07T19:59:25.6278144Z [2023-07-07 19:58:28,546] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6278325Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6278331Z 2023-07-07T19:59:25.6278528Z [2023-07-07 19:58:28,546] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6278720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6278726Z 2023-07-07T19:59:25.6278907Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6279177Z - self: 2023-07-07T19:59:25.6279417Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6279529Z - aten_name: 2023-07-07T19:59:25.6279660Z - function_overloads: 2023-07-07T19:59:25.6279777Z - onnx_args: 2023-07-07T19:59:25.6279893Z - onnx_kwargs: 2023-07-07T19:59:25.6280186Z - diagnostic_context: 2023-07-07T19:59:25.6280397Z - Return value: 2023-07-07T19:59:25.6280727Z [2023-07-07 19:58:28,626] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6280888Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6280894Z 2023-07-07T19:59:25.6281090Z [2023-07-07 19:58:28,627] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6281293Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6281299Z 2023-07-07T19:59:25.6281480Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6281775Z - self: 2023-07-07T19:59:25.6282020Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6282121Z - aten_name: 2023-07-07T19:59:25.6282252Z - function_overloads: 2023-07-07T19:59:25.6282366Z - onnx_args: 2023-07-07T19:59:25.6282482Z - onnx_kwargs: 2023-07-07T19:59:25.6282786Z - diagnostic_context: 2023-07-07T19:59:25.6282997Z - Return value: 2023-07-07T19:59:25.6283309Z [2023-07-07 19:58:28,713] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6283455Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6283474Z 2023-07-07T19:59:25.6283656Z [2023-07-07 19:58:28,713] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6283859Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6283865Z 2023-07-07T19:59:25.6284045Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6284314Z - self: 2023-07-07T19:59:25.6284704Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6284822Z - aten_name: 2023-07-07T19:59:25.6285000Z - function_overloads: 2023-07-07T19:59:25.6285118Z - onnx_args: 2023-07-07T19:59:25.6285223Z - onnx_kwargs: 2023-07-07T19:59:25.6285526Z - diagnostic_context: 2023-07-07T19:59:25.6285741Z - Return value: 2023-07-07T19:59:25.6286088Z [2023-07-07 19:58:28,787] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6286247Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6286253Z 2023-07-07T19:59:25.6286451Z [2023-07-07 19:58:28,787] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6286655Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6286661Z 2023-07-07T19:59:25.6286848Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6287115Z - self: 2023-07-07T19:59:25.6287345Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6287460Z - aten_name: 2023-07-07T19:59:25.6287591Z - function_overloads: 2023-07-07T19:59:25.6287709Z - onnx_args: 2023-07-07T19:59:25.6287827Z - onnx_kwargs: 2023-07-07T19:59:25.6288129Z - diagnostic_context: 2023-07-07T19:59:25.6288338Z - Return value: 2023-07-07T19:59:25.6288684Z [2023-07-07 19:58:28,862] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6288831Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6288839Z 2023-07-07T19:59:25.6289037Z [2023-07-07 19:58:28,862] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6289238Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6289279Z 2023-07-07T19:59:25.6289464Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6289735Z - self: 2023-07-07T19:59:25.6289975Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6290087Z - aten_name: 2023-07-07T19:59:25.6290218Z - function_overloads: 2023-07-07T19:59:25.6290324Z - onnx_args: 2023-07-07T19:59:25.6290441Z - onnx_kwargs: 2023-07-07T19:59:25.6290743Z - diagnostic_context: 2023-07-07T19:59:25.6290956Z - Return value: 2023-07-07T19:59:25.6291266Z [2023-07-07 19:58:28,934] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6291427Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6291435Z 2023-07-07T19:59:25.6291629Z [2023-07-07 19:58:28,934] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6291831Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6291838Z 2023-07-07T19:59:25.6292024Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6292278Z - self: 2023-07-07T19:59:25.6292557Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6292672Z - aten_name: 2023-07-07T19:59:25.6292802Z - function_overloads: 2023-07-07T19:59:25.6292918Z - onnx_args: 2023-07-07T19:59:25.6293034Z - onnx_kwargs: 2023-07-07T19:59:25.6293338Z - diagnostic_context: 2023-07-07T19:59:25.6293578Z - Return value: 2023-07-07T19:59:25.6293874Z [2023-07-07 19:58:29,008] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6294031Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6294037Z 2023-07-07T19:59:25.6294235Z [2023-07-07 19:58:29,008] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6294435Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6294443Z 2023-07-07T19:59:25.6294625Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6294893Z - self: 2023-07-07T19:59:25.6295138Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6295253Z - aten_name: 2023-07-07T19:59:25.6295386Z - function_overloads: 2023-07-07T19:59:25.6295490Z - onnx_args: 2023-07-07T19:59:25.6295607Z - onnx_kwargs: 2023-07-07T19:59:25.6295913Z - diagnostic_context: 2023-07-07T19:59:25.6296149Z - Return value: 2023-07-07T19:59:25.6296462Z [2023-07-07 19:58:29,079] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6296624Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6296629Z 2023-07-07T19:59:25.6296825Z [2023-07-07 19:58:29,080] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6297060Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6297068Z 2023-07-07T19:59:25.6297238Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6297504Z - self: 2023-07-07T19:59:25.6297746Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6297862Z - aten_name: 2023-07-07T19:59:25.6297994Z - function_overloads: 2023-07-07T19:59:25.6298108Z - onnx_args: 2023-07-07T19:59:25.6298223Z - onnx_kwargs: 2023-07-07T19:59:25.6298528Z - diagnostic_context: 2023-07-07T19:59:25.6298727Z - Return value: 2023-07-07T19:59:25.6299038Z [2023-07-07 19:58:29,160] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6299202Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6299207Z 2023-07-07T19:59:25.6299406Z [2023-07-07 19:58:29,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6299607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6299615Z 2023-07-07T19:59:25.6299796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6300091Z - self: 2023-07-07T19:59:25.6300337Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6300449Z - aten_name: 2023-07-07T19:59:25.6300568Z - function_overloads: 2023-07-07T19:59:25.6300683Z - onnx_args: 2023-07-07T19:59:25.6300800Z - onnx_kwargs: 2023-07-07T19:59:25.6301137Z - diagnostic_context: 2023-07-07T19:59:25.6301347Z - Return value: 2023-07-07T19:59:25.6301656Z [2023-07-07 19:58:29,233] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6301817Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6301823Z 2023-07-07T19:59:25.6302019Z [2023-07-07 19:58:29,233] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6302208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6302227Z 2023-07-07T19:59:25.6302396Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6302662Z - self: 2023-07-07T19:59:25.6302906Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6303018Z - aten_name: 2023-07-07T19:59:25.6303150Z - function_overloads: 2023-07-07T19:59:25.6303265Z - onnx_args: 2023-07-07T19:59:25.6303381Z - onnx_kwargs: 2023-07-07T19:59:25.6303702Z - diagnostic_context: 2023-07-07T19:59:25.6303914Z - Return value: 2023-07-07T19:59:25.6304226Z [2023-07-07 19:58:29,308] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6304383Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6304417Z 2023-07-07T19:59:25.6304614Z [2023-07-07 19:58:29,308] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6304820Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6304826Z 2023-07-07T19:59:25.6305011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6305276Z - self: 2023-07-07T19:59:25.6305519Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6305620Z - aten_name: 2023-07-07T19:59:25.6305750Z - function_overloads: 2023-07-07T19:59:25.6305867Z - onnx_args: 2023-07-07T19:59:25.6305983Z - onnx_kwargs: 2023-07-07T19:59:25.6306286Z - diagnostic_context: 2023-07-07T19:59:25.6306498Z - Return value: 2023-07-07T19:59:25.6306808Z [2023-07-07 19:58:29,380] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6306969Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6306975Z 2023-07-07T19:59:25.6307158Z [2023-07-07 19:58:29,380] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6307360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6307366Z 2023-07-07T19:59:25.6307573Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6307843Z - self: 2023-07-07T19:59:25.6308085Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6308201Z - aten_name: 2023-07-07T19:59:25.6308333Z - function_overloads: 2023-07-07T19:59:25.6308477Z - onnx_args: 2023-07-07T19:59:25.6308581Z - onnx_kwargs: 2023-07-07T19:59:25.6308882Z - diagnostic_context: 2023-07-07T19:59:25.6309094Z - Return value: 2023-07-07T19:59:25.6309403Z [2023-07-07 19:58:29,474] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6309559Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6309564Z 2023-07-07T19:59:25.6309762Z [2023-07-07 19:58:29,474] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6309962Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6309970Z 2023-07-07T19:59:25.6310153Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6310422Z - self: 2023-07-07T19:59:25.6310650Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6310762Z - aten_name: 2023-07-07T19:59:25.6310893Z - function_overloads: 2023-07-07T19:59:25.6311038Z - onnx_args: 2023-07-07T19:59:25.6311156Z - onnx_kwargs: 2023-07-07T19:59:25.6311459Z - diagnostic_context: 2023-07-07T19:59:25.6311670Z - Return value: 2023-07-07T19:59:25.6311980Z [2023-07-07 19:58:29,553] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6312154Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6312160Z 2023-07-07T19:59:25.6312359Z [2023-07-07 19:58:29,553] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6312560Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6312566Z 2023-07-07T19:59:25.6312748Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6313016Z - self: 2023-07-07T19:59:25.6313258Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6313371Z - aten_name: 2023-07-07T19:59:25.6313503Z - function_overloads: 2023-07-07T19:59:25.6313618Z - onnx_args: 2023-07-07T19:59:25.6313737Z - onnx_kwargs: 2023-07-07T19:59:25.6314040Z - diagnostic_context: 2023-07-07T19:59:25.6314252Z - Return value: 2023-07-07T19:59:25.6314646Z [2023-07-07 19:58:29,632] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6314805Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6314810Z 2023-07-07T19:59:25.6315012Z [2023-07-07 19:58:29,632] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6315214Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6315256Z 2023-07-07T19:59:25.6315439Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6315692Z - self: 2023-07-07T19:59:25.6315937Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6316080Z - aten_name: 2023-07-07T19:59:25.6316211Z - function_overloads: 2023-07-07T19:59:25.6316327Z - onnx_args: 2023-07-07T19:59:25.6316445Z - onnx_kwargs: 2023-07-07T19:59:25.6316746Z - diagnostic_context: 2023-07-07T19:59:25.6316959Z - Return value: 2023-07-07T19:59:25.6317253Z [2023-07-07 19:58:29,686] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6317411Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6317416Z 2023-07-07T19:59:25.6317613Z [2023-07-07 19:58:29,686] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6317814Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6317824Z 2023-07-07T19:59:25.6318007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6318273Z - self: 2023-07-07T19:59:25.6318513Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6318660Z - aten_name: 2023-07-07T19:59:25.6318793Z - function_overloads: 2023-07-07T19:59:25.6318896Z - onnx_args: 2023-07-07T19:59:25.6319013Z - onnx_kwargs: 2023-07-07T19:59:25.6319318Z - diagnostic_context: 2023-07-07T19:59:25.6319527Z - Return value: 2023-07-07T19:59:25.6319833Z [2023-07-07 19:58:29,751] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6320021Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6320027Z 2023-07-07T19:59:25.6320221Z [2023-07-07 19:58:29,751] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6320422Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6320427Z 2023-07-07T19:59:25.6320611Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6320864Z - self: 2023-07-07T19:59:25.6321106Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6321220Z - aten_name: 2023-07-07T19:59:25.6321352Z - function_overloads: 2023-07-07T19:59:25.6321469Z - onnx_args: 2023-07-07T19:59:25.6321586Z - onnx_kwargs: 2023-07-07T19:59:25.6321891Z - diagnostic_context: 2023-07-07T19:59:25.6322090Z - Return value: 2023-07-07T19:59:25.6322395Z [2023-07-07 19:58:29,814] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6322551Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6322557Z 2023-07-07T19:59:25.6322752Z [2023-07-07 19:58:29,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6322988Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6322998Z 2023-07-07T19:59:25.6323261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6323534Z - self: 2023-07-07T19:59:25.6323814Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6323928Z - aten_name: 2023-07-07T19:59:25.6324047Z - function_overloads: 2023-07-07T19:59:25.6324163Z - onnx_args: 2023-07-07T19:59:25.6324280Z - onnx_kwargs: 2023-07-07T19:59:25.6324795Z - diagnostic_context: 2023-07-07T19:59:25.6325015Z - Return value: 2023-07-07T19:59:25.6325328Z [2023-07-07 19:58:29,870] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6325486Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6325493Z 2023-07-07T19:59:25.6325694Z [2023-07-07 19:58:29,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6325885Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6325906Z 2023-07-07T19:59:25.6326077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6326345Z - self: 2023-07-07T19:59:25.6326642Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6326758Z - aten_name: 2023-07-07T19:59:25.6326891Z - function_overloads: 2023-07-07T19:59:25.6327009Z - onnx_args: 2023-07-07T19:59:25.6327127Z - onnx_kwargs: 2023-07-07T19:59:25.6327420Z - diagnostic_context: 2023-07-07T19:59:25.6327631Z - Return value: 2023-07-07T19:59:25.6327978Z [2023-07-07 19:58:29,925] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6328141Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6328147Z 2023-07-07T19:59:25.6328350Z [2023-07-07 19:58:29,925] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6328554Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6328560Z 2023-07-07T19:59:25.6328744Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6329015Z - self: 2023-07-07T19:59:25.6329261Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6329364Z - aten_name: 2023-07-07T19:59:25.6329495Z - function_overloads: 2023-07-07T19:59:25.6329612Z - onnx_args: 2023-07-07T19:59:25.6329727Z - onnx_kwargs: 2023-07-07T19:59:25.6330100Z - diagnostic_context: 2023-07-07T19:59:25.6330314Z - Return value: 2023-07-07T19:59:25.6330630Z [2023-07-07 19:58:29,981] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6330790Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6330796Z 2023-07-07T19:59:25.6331021Z [2023-07-07 19:58:29,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6331226Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6331234Z 2023-07-07T19:59:25.6331415Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6331741Z - self: 2023-07-07T19:59:25.6331984Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6332096Z - aten_name: 2023-07-07T19:59:25.6332230Z - function_overloads: 2023-07-07T19:59:25.6332348Z - onnx_args: 2023-07-07T19:59:25.6332452Z - onnx_kwargs: 2023-07-07T19:59:25.6332756Z - diagnostic_context: 2023-07-07T19:59:25.6332970Z - Return value: 2023-07-07T19:59:25.6333279Z [2023-07-07 19:58:30,036] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6333438Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6333446Z 2023-07-07T19:59:25.6333641Z [2023-07-07 19:58:30,036] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6333944Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6333953Z 2023-07-07T19:59:25.6334211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6334517Z - self: 2023-07-07T19:59:25.6334762Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6334865Z - aten_name: 2023-07-07T19:59:25.6334996Z - function_overloads: 2023-07-07T19:59:25.6335110Z - onnx_args: 2023-07-07T19:59:25.6335227Z - onnx_kwargs: 2023-07-07T19:59:25.6335529Z - diagnostic_context: 2023-07-07T19:59:25.6335769Z - Return value: 2023-07-07T19:59:25.6336080Z [2023-07-07 19:58:30,092] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6336225Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6336243Z 2023-07-07T19:59:25.6336431Z [2023-07-07 19:58:30,092] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6336630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6336636Z 2023-07-07T19:59:25.6336821Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6337088Z - self: 2023-07-07T19:59:25.6337330Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6337445Z - aten_name: 2023-07-07T19:59:25.6337575Z - function_overloads: 2023-07-07T19:59:25.6337689Z - onnx_args: 2023-07-07T19:59:25.6337792Z - onnx_kwargs: 2023-07-07T19:59:25.6338095Z - diagnostic_context: 2023-07-07T19:59:25.6338308Z - Return value: 2023-07-07T19:59:25.6338616Z [2023-07-07 19:58:30,148] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6338801Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6338807Z 2023-07-07T19:59:25.6339005Z [2023-07-07 19:58:30,148] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6339207Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6339215Z 2023-07-07T19:59:25.6339427Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6339693Z - self: 2023-07-07T19:59:25.6339921Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6340035Z - aten_name: 2023-07-07T19:59:25.6340166Z - function_overloads: 2023-07-07T19:59:25.6340280Z - onnx_args: 2023-07-07T19:59:25.6340396Z - onnx_kwargs: 2023-07-07T19:59:25.6340701Z - diagnostic_context: 2023-07-07T19:59:25.6340913Z - Return value: 2023-07-07T19:59:25.6341208Z [2023-07-07 19:58:30,204] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6341368Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6341375Z 2023-07-07T19:59:25.6341569Z [2023-07-07 19:58:30,204] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6341771Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6341777Z 2023-07-07T19:59:25.6341984Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6342252Z - self: 2023-07-07T19:59:25.6342497Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6342609Z - aten_name: 2023-07-07T19:59:25.6342743Z - function_overloads: 2023-07-07T19:59:25.6342847Z - onnx_args: 2023-07-07T19:59:25.6342993Z - onnx_kwargs: 2023-07-07T19:59:25.6343296Z - diagnostic_context: 2023-07-07T19:59:25.6343510Z - Return value: 2023-07-07T19:59:25.6343819Z [2023-07-07 19:58:30,259] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6343980Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6343985Z 2023-07-07T19:59:25.6344180Z [2023-07-07 19:58:30,259] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6344382Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6344388Z 2023-07-07T19:59:25.6344569Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6344825Z - self: 2023-07-07T19:59:25.6345072Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6345186Z - aten_name: 2023-07-07T19:59:25.6345317Z - function_overloads: 2023-07-07T19:59:25.6345432Z - onnx_args: 2023-07-07T19:59:25.6345547Z - onnx_kwargs: 2023-07-07T19:59:25.6345852Z - diagnostic_context: 2023-07-07T19:59:25.6346051Z - Return value: 2023-07-07T19:59:25.6346398Z [2023-07-07 19:58:30,320] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6346558Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6346564Z 2023-07-07T19:59:25.6346761Z [2023-07-07 19:58:30,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6346966Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6347000Z 2023-07-07T19:59:25.6347184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6347450Z - self: 2023-07-07T19:59:25.6347693Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6347806Z - aten_name: 2023-07-07T19:59:25.6347925Z - function_overloads: 2023-07-07T19:59:25.6348042Z - onnx_args: 2023-07-07T19:59:25.6348157Z - onnx_kwargs: 2023-07-07T19:59:25.6348461Z - diagnostic_context: 2023-07-07T19:59:25.6348672Z - Return value: 2023-07-07T19:59:25.6348983Z [2023-07-07 19:58:30,389] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6349145Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6349151Z 2023-07-07T19:59:25.6349346Z [2023-07-07 19:58:30,389] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6349573Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6349580Z 2023-07-07T19:59:25.6349751Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6350021Z - self: 2023-07-07T19:59:25.6350262Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6350374Z - aten_name: 2023-07-07T19:59:25.6350532Z - function_overloads: 2023-07-07T19:59:25.6350649Z - onnx_args: 2023-07-07T19:59:25.6350768Z - onnx_kwargs: 2023-07-07T19:59:25.6351068Z - diagnostic_context: 2023-07-07T19:59:25.6351268Z - Return value: 2023-07-07T19:59:25.6351578Z [2023-07-07 19:58:30,478] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6351735Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6351741Z 2023-07-07T19:59:25.6351937Z [2023-07-07 19:58:30,478] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6352138Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6352144Z 2023-07-07T19:59:25.6352327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6352594Z - self: 2023-07-07T19:59:25.6352837Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6352950Z - aten_name: 2023-07-07T19:59:25.6353069Z - function_overloads: 2023-07-07T19:59:25.6353183Z - onnx_args: 2023-07-07T19:59:25.6353302Z - onnx_kwargs: 2023-07-07T19:59:25.6353603Z - diagnostic_context: 2023-07-07T19:59:25.6353837Z - Return value: 2023-07-07T19:59:25.6354150Z [2023-07-07 19:58:30,561] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6354309Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6354317Z 2023-07-07T19:59:25.6354601Z [2023-07-07 19:58:30,561] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6354834Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6354840Z 2023-07-07T19:59:25.6355024Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6355297Z - self: 2023-07-07T19:59:25.6355540Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6355652Z - aten_name: 2023-07-07T19:59:25.6355785Z - function_overloads: 2023-07-07T19:59:25.6355900Z - onnx_args: 2023-07-07T19:59:25.6356016Z - onnx_kwargs: 2023-07-07T19:59:25.6356309Z - diagnostic_context: 2023-07-07T19:59:25.6356520Z - Return value: 2023-07-07T19:59:25.6356833Z [2023-07-07 19:58:30,646] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6356991Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6356997Z 2023-07-07T19:59:25.6357222Z [2023-07-07 19:58:30,646] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6357425Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6357431Z 2023-07-07T19:59:25.6357616Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6357883Z - self: 2023-07-07T19:59:25.6358126Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6358263Z - aten_name: 2023-07-07T19:59:25.6358397Z - function_overloads: 2023-07-07T19:59:25.6358511Z - onnx_args: 2023-07-07T19:59:25.6358628Z - onnx_kwargs: 2023-07-07T19:59:25.6358931Z - diagnostic_context: 2023-07-07T19:59:25.6359143Z - Return value: 2023-07-07T19:59:25.6359452Z [2023-07-07 19:58:30,725] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6359612Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6359617Z 2023-07-07T19:59:25.6359800Z [2023-07-07 19:58:30,726] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6360003Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6360012Z 2023-07-07T19:59:25.6360197Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6360464Z - self: 2023-07-07T19:59:25.6360704Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6360816Z - aten_name: 2023-07-07T19:59:25.6360950Z - function_overloads: 2023-07-07T19:59:25.6361064Z - onnx_args: 2023-07-07T19:59:25.6361168Z - onnx_kwargs: 2023-07-07T19:59:25.6361496Z - diagnostic_context: 2023-07-07T19:59:25.6361708Z - Return value: 2023-07-07T19:59:25.6362018Z [2023-07-07 19:58:30,806] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6362178Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6362210Z 2023-07-07T19:59:25.6362406Z [2023-07-07 19:58:30,806] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6362607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6362613Z 2023-07-07T19:59:25.6362797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6363061Z - self: 2023-07-07T19:59:25.6363293Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6363405Z - aten_name: 2023-07-07T19:59:25.6363536Z - function_overloads: 2023-07-07T19:59:25.6363651Z - onnx_args: 2023-07-07T19:59:25.6363769Z - onnx_kwargs: 2023-07-07T19:59:25.6364070Z - diagnostic_context: 2023-07-07T19:59:25.6364282Z - Return value: 2023-07-07T19:59:25.6364779Z [2023-07-07 19:58:30,870] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6364983Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6364990Z 2023-07-07T19:59:25.6365194Z [2023-07-07 19:58:30,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6365397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6365403Z 2023-07-07T19:59:25.6365586Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6365852Z - self: 2023-07-07T19:59:25.6366142Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6366257Z - aten_name: 2023-07-07T19:59:25.6366391Z - function_overloads: 2023-07-07T19:59:25.6366494Z - onnx_args: 2023-07-07T19:59:25.6366610Z - onnx_kwargs: 2023-07-07T19:59:25.6366917Z - diagnostic_context: 2023-07-07T19:59:25.6367129Z - Return value: 2023-07-07T19:59:25.6367441Z [2023-07-07 19:58:30,927] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6367600Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6367606Z 2023-07-07T19:59:25.6367801Z [2023-07-07 19:58:30,927] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6368005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6368014Z 2023-07-07T19:59:25.6368198Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6368453Z - self: 2023-07-07T19:59:25.6368713Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6368827Z - aten_name: 2023-07-07T19:59:25.6368946Z - function_overloads: 2023-07-07T19:59:25.6369062Z - onnx_args: 2023-07-07T19:59:25.6369213Z - onnx_kwargs: 2023-07-07T19:59:25.6369519Z - diagnostic_context: 2023-07-07T19:59:25.6369731Z - Return value: 2023-07-07T19:59:25.6370045Z [2023-07-07 19:58:30,981] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6370237Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6370243Z 2023-07-07T19:59:25.6370442Z [2023-07-07 19:58:30,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6370633Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6370651Z 2023-07-07T19:59:25.6370821Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6371091Z - self: 2023-07-07T19:59:25.6371331Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6371449Z - aten_name: 2023-07-07T19:59:25.6371583Z - function_overloads: 2023-07-07T19:59:25.6371699Z - onnx_args: 2023-07-07T19:59:25.6371817Z - onnx_kwargs: 2023-07-07T19:59:25.6372108Z - diagnostic_context: 2023-07-07T19:59:25.6372319Z - Return value: 2023-07-07T19:59:25.6372667Z [2023-07-07 19:58:31,039] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6372829Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6372834Z 2023-07-07T19:59:25.6373033Z [2023-07-07 19:58:31,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6373235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6373240Z 2023-07-07T19:59:25.6373423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6373721Z - self: 2023-07-07T19:59:25.6373968Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6374080Z - aten_name: 2023-07-07T19:59:25.6374200Z - function_overloads: 2023-07-07T19:59:25.6374315Z - onnx_args: 2023-07-07T19:59:25.6374437Z - onnx_kwargs: 2023-07-07T19:59:25.6374739Z - diagnostic_context: 2023-07-07T19:59:25.6374947Z - Return value: 2023-07-07T19:59:25.6375259Z [2023-07-07 19:58:31,094] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6375418Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6375425Z 2023-07-07T19:59:25.6375623Z [2023-07-07 19:58:31,094] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6375813Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6375818Z 2023-07-07T19:59:25.6376002Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6376268Z - self: 2023-07-07T19:59:25.6376512Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6376626Z - aten_name: 2023-07-07T19:59:25.6376786Z - function_overloads: 2023-07-07T19:59:25.6376905Z - onnx_args: 2023-07-07T19:59:25.6377022Z - onnx_kwargs: 2023-07-07T19:59:25.6377314Z - diagnostic_context: 2023-07-07T19:59:25.6377525Z - Return value: 2023-07-07T19:59:25.6377867Z [2023-07-07 19:58:31,160] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6378025Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6378030Z 2023-07-07T19:59:25.6378229Z [2023-07-07 19:58:31,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6378429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6378435Z 2023-07-07T19:59:25.6378618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6378884Z - self: 2023-07-07T19:59:25.6379126Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6379229Z - aten_name: 2023-07-07T19:59:25.6379362Z - function_overloads: 2023-07-07T19:59:25.6379477Z - onnx_args: 2023-07-07T19:59:25.6379594Z - onnx_kwargs: 2023-07-07T19:59:25.6379899Z - diagnostic_context: 2023-07-07T19:59:25.6380108Z - Return value: 2023-07-07T19:59:25.6380445Z [2023-07-07 19:58:31,214] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6380595Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6380614Z 2023-07-07T19:59:25.6380797Z [2023-07-07 19:58:31,214] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6380997Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6381030Z 2023-07-07T19:59:25.6381214Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6381483Z - self: 2023-07-07T19:59:25.6381724Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6381836Z - aten_name: 2023-07-07T19:59:25.6381969Z - function_overloads: 2023-07-07T19:59:25.6382084Z - onnx_args: 2023-07-07T19:59:25.6382187Z - onnx_kwargs: 2023-07-07T19:59:25.6382490Z - diagnostic_context: 2023-07-07T19:59:25.6382701Z - Return value: 2023-07-07T19:59:25.6383009Z [2023-07-07 19:58:31,271] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6383170Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6383179Z 2023-07-07T19:59:25.6383376Z [2023-07-07 19:58:31,271] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6383579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6383585Z 2023-07-07T19:59:25.6383771Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6384039Z - self: 2023-07-07T19:59:25.6384297Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6384412Z - aten_name: 2023-07-07T19:59:25.6384544Z - function_overloads: 2023-07-07T19:59:25.6384661Z - onnx_args: 2023-07-07T19:59:25.6384780Z - onnx_kwargs: 2023-07-07T19:59:25.6385081Z - diagnostic_context: 2023-07-07T19:59:25.6385319Z - Return value: 2023-07-07T19:59:25.6385617Z [2023-07-07 19:58:31,325] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6385776Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6385785Z 2023-07-07T19:59:25.6385983Z [2023-07-07 19:58:31,325] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6386185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6386190Z 2023-07-07T19:59:25.6386373Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6386639Z - self: 2023-07-07T19:59:25.6386882Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6386999Z - aten_name: 2023-07-07T19:59:25.6387131Z - function_overloads: 2023-07-07T19:59:25.6387233Z - onnx_args: 2023-07-07T19:59:25.6387349Z - onnx_kwargs: 2023-07-07T19:59:25.6387680Z - diagnostic_context: 2023-07-07T19:59:25.6387893Z - Return value: 2023-07-07T19:59:25.6388204Z [2023-07-07 19:58:31,380] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6388362Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6388367Z 2023-07-07T19:59:25.6388564Z [2023-07-07 19:58:31,380] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6388798Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6388806Z 2023-07-07T19:59:25.6388989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6389244Z - self: 2023-07-07T19:59:25.6389487Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6389603Z - aten_name: 2023-07-07T19:59:25.6389736Z - function_overloads: 2023-07-07T19:59:25.6389852Z - onnx_args: 2023-07-07T19:59:25.6389971Z - onnx_kwargs: 2023-07-07T19:59:25.6390275Z - diagnostic_context: 2023-07-07T19:59:25.6390485Z - Return value: 2023-07-07T19:59:25.6390781Z [2023-07-07 19:58:31,436] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6390942Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6390948Z 2023-07-07T19:59:25.6391144Z [2023-07-07 19:58:31,436] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6391347Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6391352Z 2023-07-07T19:59:25.6391534Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6391849Z - self: 2023-07-07T19:59:25.6392092Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6392204Z - aten_name: 2023-07-07T19:59:25.6392335Z - function_overloads: 2023-07-07T19:59:25.6392441Z - onnx_args: 2023-07-07T19:59:25.6392557Z - onnx_kwargs: 2023-07-07T19:59:25.6392890Z - diagnostic_context: 2023-07-07T19:59:25.6393102Z - Return value: 2023-07-07T19:59:25.6393411Z [2023-07-07 19:58:31,494] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6393568Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6393573Z 2023-07-07T19:59:25.6393770Z [2023-07-07 19:58:31,494] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6393974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6393980Z 2023-07-07T19:59:25.6394150Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6394419Z - self: 2023-07-07T19:59:25.6394738Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6394854Z - aten_name: 2023-07-07T19:59:25.6394986Z - function_overloads: 2023-07-07T19:59:25.6395103Z - onnx_args: 2023-07-07T19:59:25.6395220Z - onnx_kwargs: 2023-07-07T19:59:25.6395556Z - diagnostic_context: 2023-07-07T19:59:25.6395758Z - Return value: 2023-07-07T19:59:25.6396069Z [2023-07-07 19:58:31,550] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6396229Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6396262Z 2023-07-07T19:59:25.6396461Z [2023-07-07 19:58:31,550] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6396664Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6396670Z 2023-07-07T19:59:25.6396851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6397119Z - self: 2023-07-07T19:59:25.6397362Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6397478Z - aten_name: 2023-07-07T19:59:25.6397600Z - function_overloads: 2023-07-07T19:59:25.6397715Z - onnx_args: 2023-07-07T19:59:25.6397833Z - onnx_kwargs: 2023-07-07T19:59:25.6398138Z - diagnostic_context: 2023-07-07T19:59:25.6398352Z - Return value: 2023-07-07T19:59:25.6398663Z [2023-07-07 19:58:31,607] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6398820Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6398825Z 2023-07-07T19:59:25.6399021Z [2023-07-07 19:58:31,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6399214Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6399233Z 2023-07-07T19:59:25.6399440Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6399708Z - self: 2023-07-07T19:59:25.6399950Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6400065Z - aten_name: 2023-07-07T19:59:25.6400196Z - function_overloads: 2023-07-07T19:59:25.6400342Z - onnx_args: 2023-07-07T19:59:25.6400460Z - onnx_kwargs: 2023-07-07T19:59:25.6400751Z - diagnostic_context: 2023-07-07T19:59:25.6400960Z - Return value: 2023-07-07T19:59:25.6401272Z [2023-07-07 19:58:31,665] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6401433Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6401442Z 2023-07-07T19:59:25.6401638Z [2023-07-07 19:58:31,665] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6401839Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6401847Z 2023-07-07T19:59:25.6402028Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6402297Z - self: 2023-07-07T19:59:25.6402538Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6402639Z - aten_name: 2023-07-07T19:59:25.6402772Z - function_overloads: 2023-07-07T19:59:25.6402915Z - onnx_args: 2023-07-07T19:59:25.6403034Z - onnx_kwargs: 2023-07-07T19:59:25.6403338Z - diagnostic_context: 2023-07-07T19:59:25.6403552Z - Return value: 2023-07-07T19:59:25.6403857Z [2023-07-07 19:58:31,743] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6404046Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6404054Z 2023-07-07T19:59:25.6404239Z [2023-07-07 19:58:31,743] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6404570Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6404576Z 2023-07-07T19:59:25.6404767Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6405036Z - self: 2023-07-07T19:59:25.6405283Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6405399Z - aten_name: 2023-07-07T19:59:25.6405532Z - function_overloads: 2023-07-07T19:59:25.6405647Z - onnx_args: 2023-07-07T19:59:25.6405752Z - onnx_kwargs: 2023-07-07T19:59:25.6406060Z - diagnostic_context: 2023-07-07T19:59:25.6406273Z - Return value: 2023-07-07T19:59:25.6406583Z [2023-07-07 19:58:31,816] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6406739Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6406745Z 2023-07-07T19:59:25.6406944Z [2023-07-07 19:58:31,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6407147Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6407201Z 2023-07-07T19:59:25.6407385Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6407652Z - self: 2023-07-07T19:59:25.6407886Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6408033Z - aten_name: 2023-07-07T19:59:25.6408164Z - function_overloads: 2023-07-07T19:59:25.6408280Z - onnx_args: 2023-07-07T19:59:25.6408398Z - onnx_kwargs: 2023-07-07T19:59:25.6408700Z - diagnostic_context: 2023-07-07T19:59:25.6408911Z - Return value: 2023-07-07T19:59:25.6409222Z [2023-07-07 19:58:31,932] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6409372Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6409377Z 2023-07-07T19:59:25.6409572Z [2023-07-07 19:58:31,932] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6409775Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6409783Z 2023-07-07T19:59:25.6409966Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6410232Z - self: 2023-07-07T19:59:25.6410475Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6410622Z - aten_name: 2023-07-07T19:59:25.6410755Z - function_overloads: 2023-07-07T19:59:25.6410858Z - onnx_args: 2023-07-07T19:59:25.6410974Z - onnx_kwargs: 2023-07-07T19:59:25.6411280Z - diagnostic_context: 2023-07-07T19:59:25.6411491Z - Return value: 2023-07-07T19:59:25.6411801Z [2023-07-07 19:58:32,018] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6411997Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6412002Z 2023-07-07T19:59:25.6412200Z [2023-07-07 19:58:32,018] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6412402Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6412410Z 2023-07-07T19:59:25.6412592Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6412847Z - self: 2023-07-07T19:59:25.6413090Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6413202Z - aten_name: 2023-07-07T19:59:25.6413332Z - function_overloads: 2023-07-07T19:59:25.6413450Z - onnx_args: 2023-07-07T19:59:25.6413566Z - onnx_kwargs: 2023-07-07T19:59:25.6413872Z - diagnostic_context: 2023-07-07T19:59:25.6414081Z - Return value: 2023-07-07T19:59:25.6414378Z [2023-07-07 19:58:32,102] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6414538Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6414544Z 2023-07-07T19:59:25.6414739Z [2023-07-07 19:58:32,102] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6414967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6414974Z 2023-07-07T19:59:25.6415158Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6415426Z - self: 2023-07-07T19:59:25.6415696Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6415808Z - aten_name: 2023-07-07T19:59:25.6415937Z - function_overloads: 2023-07-07T19:59:25.6416040Z - onnx_args: 2023-07-07T19:59:25.6416157Z - onnx_kwargs: 2023-07-07T19:59:25.6416460Z - diagnostic_context: 2023-07-07T19:59:25.6416671Z - Return value: 2023-07-07T19:59:25.6416979Z [2023-07-07 19:58:32,178] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6417136Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6417144Z 2023-07-07T19:59:25.6417338Z [2023-07-07 19:58:32,178] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6417541Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6417547Z 2023-07-07T19:59:25.6417729Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6417982Z - self: 2023-07-07T19:59:25.6418250Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6418367Z - aten_name: 2023-07-07T19:59:25.6418499Z - function_overloads: 2023-07-07T19:59:25.6418617Z - onnx_args: 2023-07-07T19:59:25.6418733Z - onnx_kwargs: 2023-07-07T19:59:25.6419033Z - diagnostic_context: 2023-07-07T19:59:25.6419267Z - Return value: 2023-07-07T19:59:25.6419577Z [2023-07-07 19:58:32,267] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6419737Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6419743Z 2023-07-07T19:59:25.6419939Z [2023-07-07 19:58:32,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6420141Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6420148Z 2023-07-07T19:59:25.6420331Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6420601Z - self: 2023-07-07T19:59:25.6420846Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6420962Z - aten_name: 2023-07-07T19:59:25.6421083Z - function_overloads: 2023-07-07T19:59:25.6421201Z - onnx_args: 2023-07-07T19:59:25.6421319Z - onnx_kwargs: 2023-07-07T19:59:25.6421623Z - diagnostic_context: 2023-07-07T19:59:25.6421835Z - Return value: 2023-07-07T19:59:25.6422148Z [2023-07-07 19:58:32,349] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6422306Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6422311Z 2023-07-07T19:59:25.6422534Z [2023-07-07 19:58:32,349] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6422724Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6422746Z 2023-07-07T19:59:25.6422915Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6423210Z - self: 2023-07-07T19:59:25.6423454Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6423567Z - aten_name: 2023-07-07T19:59:25.6423698Z - function_overloads: 2023-07-07T19:59:25.6423815Z - onnx_args: 2023-07-07T19:59:25.6423933Z - onnx_kwargs: 2023-07-07T19:59:25.6424223Z - diagnostic_context: 2023-07-07T19:59:25.6424436Z - Return value: 2023-07-07T19:59:25.6424744Z [2023-07-07 19:58:32,696] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6424903Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6424909Z 2023-07-07T19:59:25.6425108Z [2023-07-07 19:58:32,696] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6425310Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6425316Z 2023-07-07T19:59:25.6425499Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6425826Z - self: 2023-07-07T19:59:25.6426070Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6426172Z - aten_name: 2023-07-07T19:59:25.6426304Z - function_overloads: 2023-07-07T19:59:25.6426419Z - onnx_args: 2023-07-07T19:59:25.6426536Z - onnx_kwargs: 2023-07-07T19:59:25.6426870Z - diagnostic_context: 2023-07-07T19:59:25.6427084Z - Return value: 2023-07-07T19:59:25.6427395Z [2023-07-07 19:58:32,776] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6427555Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6427560Z 2023-07-07T19:59:25.6427747Z [2023-07-07 19:58:32,776] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6427982Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6427989Z 2023-07-07T19:59:25.6428172Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6428437Z - self: 2023-07-07T19:59:25.6428683Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6428798Z - aten_name: 2023-07-07T19:59:25.6428930Z - function_overloads: 2023-07-07T19:59:25.6429045Z - onnx_args: 2023-07-07T19:59:25.6429150Z - onnx_kwargs: 2023-07-07T19:59:25.6429453Z - diagnostic_context: 2023-07-07T19:59:25.6429666Z - Return value: 2023-07-07T19:59:25.6429979Z [2023-07-07 19:58:32,879] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6430165Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6430171Z 2023-07-07T19:59:25.6430369Z [2023-07-07 19:58:32,879] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6430666Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6430717Z 2023-07-07T19:59:25.6430905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6431178Z - self: 2023-07-07T19:59:25.6431424Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6431526Z - aten_name: 2023-07-07T19:59:25.6431659Z - function_overloads: 2023-07-07T19:59:25.6431774Z - onnx_args: 2023-07-07T19:59:25.6431892Z - onnx_kwargs: 2023-07-07T19:59:25.6432197Z - diagnostic_context: 2023-07-07T19:59:25.6432409Z - Return value: 2023-07-07T19:59:25.6432720Z [2023-07-07 19:58:33,018] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6432869Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6432889Z 2023-07-07T19:59:25.6433072Z [2023-07-07 19:58:33,018] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6433274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6433280Z 2023-07-07T19:59:25.6433490Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6433763Z - self: 2023-07-07T19:59:25.6434008Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6434121Z - aten_name: 2023-07-07T19:59:25.6434254Z - function_overloads: 2023-07-07T19:59:25.6434398Z - onnx_args: 2023-07-07T19:59:25.6434571Z - onnx_kwargs: 2023-07-07T19:59:25.6434880Z - diagnostic_context: 2023-07-07T19:59:25.6435095Z - Return value: 2023-07-07T19:59:25.6435405Z [2023-07-07 19:58:33,121] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6435565Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6435571Z 2023-07-07T19:59:25.6435768Z [2023-07-07 19:58:33,121] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6435972Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6435978Z 2023-07-07T19:59:25.6436163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6436431Z - self: 2023-07-07T19:59:25.6436661Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6436775Z - aten_name: 2023-07-07T19:59:25.6436906Z - function_overloads: 2023-07-07T19:59:25.6437023Z - onnx_args: 2023-07-07T19:59:25.6437142Z - onnx_kwargs: 2023-07-07T19:59:25.6437447Z - diagnostic_context: 2023-07-07T19:59:25.6437658Z - Return value: 2023-07-07T19:59:25.6437989Z [2023-07-07 19:58:33,209] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6438149Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6438154Z 2023-07-07T19:59:25.6438355Z [2023-07-07 19:58:33,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6438557Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6438596Z 2023-07-07T19:59:25.6438782Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6439046Z - self: 2023-07-07T19:59:25.6439290Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6439402Z - aten_name: 2023-07-07T19:59:25.6439532Z - function_overloads: 2023-07-07T19:59:25.6439637Z - onnx_args: 2023-07-07T19:59:25.6439753Z - onnx_kwargs: 2023-07-07T19:59:25.6440058Z - diagnostic_context: 2023-07-07T19:59:25.6440269Z - Return value: 2023-07-07T19:59:25.6440583Z [2023-07-07 19:58:33,306] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6440743Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6440749Z 2023-07-07T19:59:25.6440943Z [2023-07-07 19:58:33,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6441171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6441178Z 2023-07-07T19:59:25.6441362Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6441617Z - self: 2023-07-07T19:59:25.6441858Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6442003Z - aten_name: 2023-07-07T19:59:25.6442135Z - function_overloads: 2023-07-07T19:59:25.6442253Z - onnx_args: 2023-07-07T19:59:25.6442369Z - onnx_kwargs: 2023-07-07T19:59:25.6442672Z - diagnostic_context: 2023-07-07T19:59:25.6442871Z - Return value: 2023-07-07T19:59:25.6443182Z [2023-07-07 19:58:33,413] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6443341Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6443347Z 2023-07-07T19:59:25.6443542Z [2023-07-07 19:58:33,413] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6443742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6443751Z 2023-07-07T19:59:25.6443934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6444201Z - self: 2023-07-07T19:59:25.6444579Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6444749Z - aten_name: 2023-07-07T19:59:25.6444869Z - function_overloads: 2023-07-07T19:59:25.6444988Z - onnx_args: 2023-07-07T19:59:25.6445104Z - onnx_kwargs: 2023-07-07T19:59:25.6445407Z - diagnostic_context: 2023-07-07T19:59:25.6445675Z - Return value: 2023-07-07T19:59:25.6445990Z [2023-07-07 19:58:33,498] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6446148Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6446157Z 2023-07-07T19:59:25.6446353Z [2023-07-07 19:58:33,498] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6446590Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6446596Z 2023-07-07T19:59:25.6446765Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6447036Z - self: 2023-07-07T19:59:25.6447279Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6447395Z - aten_name: 2023-07-07T19:59:25.6447525Z - function_overloads: 2023-07-07T19:59:25.6447640Z - onnx_args: 2023-07-07T19:59:25.6447757Z - onnx_kwargs: 2023-07-07T19:59:25.6448047Z - diagnostic_context: 2023-07-07T19:59:25.6448263Z - Return value: 2023-07-07T19:59:25.6448576Z [2023-07-07 19:58:33,578] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6448734Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6448739Z 2023-07-07T19:59:25.6448970Z [2023-07-07 19:58:33,579] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6449174Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6449179Z 2023-07-07T19:59:25.6449365Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6449631Z - self: 2023-07-07T19:59:25.6449944Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6450057Z - aten_name: 2023-07-07T19:59:25.6450178Z - function_overloads: 2023-07-07T19:59:25.6450293Z - onnx_args: 2023-07-07T19:59:25.6450410Z - onnx_kwargs: 2023-07-07T19:59:25.6450713Z - diagnostic_context: 2023-07-07T19:59:25.6450926Z - Return value: 2023-07-07T19:59:25.6451237Z [2023-07-07 19:58:33,671] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6451399Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6451404Z 2023-07-07T19:59:25.6451601Z [2023-07-07 19:58:33,671] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6451789Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6451797Z 2023-07-07T19:59:25.6451982Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6452246Z - self: 2023-07-07T19:59:25.6452487Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6452605Z - aten_name: 2023-07-07T19:59:25.6452737Z - function_overloads: 2023-07-07T19:59:25.6452852Z - onnx_args: 2023-07-07T19:59:25.6452968Z - onnx_kwargs: 2023-07-07T19:59:25.6453296Z - diagnostic_context: 2023-07-07T19:59:25.6453508Z - Return value: 2023-07-07T19:59:25.6453815Z [2023-07-07 19:58:33,757] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6453973Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6454009Z 2023-07-07T19:59:25.6454206Z [2023-07-07 19:58:33,757] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6454405Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6454411Z 2023-07-07T19:59:25.6454595Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6454861Z - self: 2023-07-07T19:59:25.6455107Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6455206Z - aten_name: 2023-07-07T19:59:25.6455338Z - function_overloads: 2023-07-07T19:59:25.6455453Z - onnx_args: 2023-07-07T19:59:25.6455572Z - onnx_kwargs: 2023-07-07T19:59:25.6455873Z - diagnostic_context: 2023-07-07T19:59:25.6456086Z - Return value: 2023-07-07T19:59:25.6456395Z [2023-07-07 19:58:33,842] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6456566Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6456584Z 2023-07-07T19:59:25.6456770Z [2023-07-07 19:58:33,842] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6456974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6456981Z 2023-07-07T19:59:25.6457164Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6457461Z - self: 2023-07-07T19:59:25.6457703Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6457819Z - aten_name: 2023-07-07T19:59:25.6457951Z - function_overloads: 2023-07-07T19:59:25.6458066Z - onnx_args: 2023-07-07T19:59:25.6458170Z - onnx_kwargs: 2023-07-07T19:59:25.6458477Z - diagnostic_context: 2023-07-07T19:59:25.6458687Z - Return value: 2023-07-07T19:59:25.6458999Z [2023-07-07 19:58:33,942] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6459155Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6459161Z 2023-07-07T19:59:25.6459357Z [2023-07-07 19:58:33,942] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6459561Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6459569Z 2023-07-07T19:59:25.6459750Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6460015Z - self: 2023-07-07T19:59:25.6460247Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6460360Z - aten_name: 2023-07-07T19:59:25.6460492Z - function_overloads: 2023-07-07T19:59:25.6460608Z - onnx_args: 2023-07-07T19:59:25.6460752Z - onnx_kwargs: 2023-07-07T19:59:25.6461055Z - diagnostic_context: 2023-07-07T19:59:25.6461266Z - Return value: 2023-07-07T19:59:25.6461576Z [2023-07-07 19:58:34,104] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6461751Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6461756Z 2023-07-07T19:59:25.6461955Z [2023-07-07 19:58:34,104] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6462161Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6462167Z 2023-07-07T19:59:25.6462352Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6462620Z - self: 2023-07-07T19:59:25.6462863Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6462976Z - aten_name: 2023-07-07T19:59:25.6463110Z - function_overloads: 2023-07-07T19:59:25.6463213Z - onnx_args: 2023-07-07T19:59:25.6463332Z - onnx_kwargs: 2023-07-07T19:59:25.6463635Z - diagnostic_context: 2023-07-07T19:59:25.6463846Z - Return value: 2023-07-07T19:59:25.6464181Z [2023-07-07 19:58:34,199] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6464341Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6464346Z 2023-07-07T19:59:25.6464546Z [2023-07-07 19:58:34,199] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6464747Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6464753Z 2023-07-07T19:59:25.6464967Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6465220Z - self: 2023-07-07T19:59:25.6465465Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6465578Z - aten_name: 2023-07-07T19:59:25.6465709Z - function_overloads: 2023-07-07T19:59:25.6465824Z - onnx_args: 2023-07-07T19:59:25.6465943Z - onnx_kwargs: 2023-07-07T19:59:25.6466245Z - diagnostic_context: 2023-07-07T19:59:25.6466460Z - Return value: 2023-07-07T19:59:25.6466755Z [2023-07-07 19:58:34,287] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6466913Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6466921Z 2023-07-07T19:59:25.6467118Z [2023-07-07 19:58:34,287] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6467327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6467333Z 2023-07-07T19:59:25.6467517Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6467787Z - self: 2023-07-07T19:59:25.6468028Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6468140Z - aten_name: 2023-07-07T19:59:25.6468304Z - function_overloads: 2023-07-07T19:59:25.6468409Z - onnx_args: 2023-07-07T19:59:25.6468525Z - onnx_kwargs: 2023-07-07T19:59:25.6468827Z - diagnostic_context: 2023-07-07T19:59:25.6469040Z - Return value: 2023-07-07T19:59:25.6469375Z [2023-07-07 19:58:34,368] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6469531Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6469536Z 2023-07-07T19:59:25.6469735Z [2023-07-07 19:58:34,368] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6469935Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6469941Z 2023-07-07T19:59:25.6470112Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6470379Z - self: 2023-07-07T19:59:25.6470620Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6470734Z - aten_name: 2023-07-07T19:59:25.6470868Z - function_overloads: 2023-07-07T19:59:25.6470982Z - onnx_args: 2023-07-07T19:59:25.6471100Z - onnx_kwargs: 2023-07-07T19:59:25.6471401Z - diagnostic_context: 2023-07-07T19:59:25.6471598Z - Return value: 2023-07-07T19:59:25.6471936Z [2023-07-07 19:58:34,476] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6472099Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6472104Z 2023-07-07T19:59:25.6472299Z [2023-07-07 19:58:34,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6472500Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6472533Z 2023-07-07T19:59:25.6472717Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6472986Z - self: 2023-07-07T19:59:25.6473228Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6473341Z - aten_name: 2023-07-07T19:59:25.6473463Z - function_overloads: 2023-07-07T19:59:25.6473578Z - onnx_args: 2023-07-07T19:59:25.6473695Z - onnx_kwargs: 2023-07-07T19:59:25.6474000Z - diagnostic_context: 2023-07-07T19:59:25.6474210Z - Return value: 2023-07-07T19:59:25.6474585Z [2023-07-07 19:58:34,562] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6474751Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6474759Z 2023-07-07T19:59:25.6474960Z [2023-07-07 19:58:34,562] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6475149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6475167Z 2023-07-07T19:59:25.6475339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6475607Z - self: 2023-07-07T19:59:25.6475887Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6476002Z - aten_name: 2023-07-07T19:59:25.6476134Z - function_overloads: 2023-07-07T19:59:25.6476248Z - onnx_args: 2023-07-07T19:59:25.6476368Z - onnx_kwargs: 2023-07-07T19:59:25.6476660Z - diagnostic_context: 2023-07-07T19:59:25.6476899Z - Return value: 2023-07-07T19:59:25.6477207Z [2023-07-07 19:58:34,634] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6477367Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6477372Z 2023-07-07T19:59:25.6477567Z [2023-07-07 19:58:34,634] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6477769Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6477775Z 2023-07-07T19:59:25.6477958Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6478225Z - self: 2023-07-07T19:59:25.6478468Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6478570Z - aten_name: 2023-07-07T19:59:25.6478703Z - function_overloads: 2023-07-07T19:59:25.6478818Z - onnx_args: 2023-07-07T19:59:25.6478935Z - onnx_kwargs: 2023-07-07T19:59:25.6479271Z - diagnostic_context: 2023-07-07T19:59:25.6479485Z - Return value: 2023-07-07T19:59:25.6479796Z [2023-07-07 19:58:34,691] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6479953Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6479959Z 2023-07-07T19:59:25.6480142Z [2023-07-07 19:58:34,691] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6480378Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6480386Z 2023-07-07T19:59:25.6480571Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6480838Z - self: 2023-07-07T19:59:25.6481082Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6481196Z - aten_name: 2023-07-07T19:59:25.6481329Z - function_overloads: 2023-07-07T19:59:25.6481445Z - onnx_args: 2023-07-07T19:59:25.6481550Z - onnx_kwargs: 2023-07-07T19:59:25.6481854Z - diagnostic_context: 2023-07-07T19:59:25.6482065Z - Return value: 2023-07-07T19:59:25.6482376Z [2023-07-07 19:58:34,746] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6482537Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6482543Z 2023-07-07T19:59:25.6482742Z [2023-07-07 19:58:34,746] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6482944Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6482950Z 2023-07-07T19:59:25.6483132Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6483427Z - self: 2023-07-07T19:59:25.6483660Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6483772Z - aten_name: 2023-07-07T19:59:25.6483907Z - function_overloads: 2023-07-07T19:59:25.6484024Z - onnx_args: 2023-07-07T19:59:25.6484172Z - onnx_kwargs: 2023-07-07T19:59:25.6484595Z - diagnostic_context: 2023-07-07T19:59:25.6484812Z - Return value: 2023-07-07T19:59:25.6485123Z [2023-07-07 19:58:34,802] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6485269Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6485275Z 2023-07-07T19:59:25.6485478Z [2023-07-07 19:58:34,802] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6485680Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6485686Z 2023-07-07T19:59:25.6485870Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6486141Z - self: 2023-07-07T19:59:25.6486386Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6486500Z - aten_name: 2023-07-07T19:59:25.6486636Z - function_overloads: 2023-07-07T19:59:25.6486753Z - onnx_args: 2023-07-07T19:59:25.6486899Z - onnx_kwargs: 2023-07-07T19:59:25.6487205Z - diagnostic_context: 2023-07-07T19:59:25.6487418Z - Return value: 2023-07-07T19:59:25.6487729Z [2023-07-07 19:58:34,860] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6487888Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6487930Z 2023-07-07T19:59:25.6488128Z [2023-07-07 19:58:34,860] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6488332Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6488338Z 2023-07-07T19:59:25.6488520Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6488776Z - self: 2023-07-07T19:59:25.6489018Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6489132Z - aten_name: 2023-07-07T19:59:25.6489267Z - function_overloads: 2023-07-07T19:59:25.6489383Z - onnx_args: 2023-07-07T19:59:25.6489501Z - onnx_kwargs: 2023-07-07T19:59:25.6489806Z - diagnostic_context: 2023-07-07T19:59:25.6490020Z - Return value: 2023-07-07T19:59:25.6490315Z [2023-07-07 19:58:34,919] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6490474Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6490479Z 2023-07-07T19:59:25.6490676Z [2023-07-07 19:58:34,919] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6490879Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6490885Z 2023-07-07T19:59:25.6491108Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6491379Z - self: 2023-07-07T19:59:25.6491622Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6491736Z - aten_name: 2023-07-07T19:59:25.6491909Z - function_overloads: 2023-07-07T19:59:25.6492011Z - onnx_args: 2023-07-07T19:59:25.6492128Z - onnx_kwargs: 2023-07-07T19:59:25.6492432Z - diagnostic_context: 2023-07-07T19:59:25.6492641Z - Return value: 2023-07-07T19:59:25.6492954Z [2023-07-07 19:58:34,978] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6493116Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6493121Z 2023-07-07T19:59:25.6493326Z [2023-07-07 19:58:34,978] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6493526Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6493534Z 2023-07-07T19:59:25.6493715Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6493972Z - self: 2023-07-07T19:59:25.6494212Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6494326Z - aten_name: 2023-07-07T19:59:25.6494486Z - function_overloads: 2023-07-07T19:59:25.6494603Z - onnx_args: 2023-07-07T19:59:25.6494719Z - onnx_kwargs: 2023-07-07T19:59:25.6495024Z - diagnostic_context: 2023-07-07T19:59:25.6495223Z - Return value: 2023-07-07T19:59:25.6495533Z [2023-07-07 19:58:35,034] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6495719Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6495727Z 2023-07-07T19:59:25.6495924Z [2023-07-07 19:58:35,035] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6496126Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6496132Z 2023-07-07T19:59:25.6496316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6496581Z - self: 2023-07-07T19:59:25.6496823Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6496934Z - aten_name: 2023-07-07T19:59:25.6497055Z - function_overloads: 2023-07-07T19:59:25.6497170Z - onnx_args: 2023-07-07T19:59:25.6497288Z - onnx_kwargs: 2023-07-07T19:59:25.6497590Z - diagnostic_context: 2023-07-07T19:59:25.6497803Z - Return value: 2023-07-07T19:59:25.6498108Z [2023-07-07 19:58:35,102] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6498264Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6498271Z 2023-07-07T19:59:25.6498466Z [2023-07-07 19:58:35,103] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6498682Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6498701Z 2023-07-07T19:59:25.6498875Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6499140Z - self: 2023-07-07T19:59:25.6499383Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6499526Z - aten_name: 2023-07-07T19:59:25.6499657Z - function_overloads: 2023-07-07T19:59:25.6499773Z - onnx_args: 2023-07-07T19:59:25.6499889Z - onnx_kwargs: 2023-07-07T19:59:25.6500181Z - diagnostic_context: 2023-07-07T19:59:25.6500392Z - Return value: 2023-07-07T19:59:25.6500700Z [2023-07-07 19:58:35,180] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6500857Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6500863Z 2023-07-07T19:59:25.6501060Z [2023-07-07 19:58:35,180] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6501261Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6501269Z 2023-07-07T19:59:25.6501452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6501717Z - self: 2023-07-07T19:59:25.6501987Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6502090Z - aten_name: 2023-07-07T19:59:25.6502222Z - function_overloads: 2023-07-07T19:59:25.6502337Z - onnx_args: 2023-07-07T19:59:25.6502457Z - onnx_kwargs: 2023-07-07T19:59:25.6502761Z - diagnostic_context: 2023-07-07T19:59:25.6502971Z - Return value: 2023-07-07T19:59:25.6503312Z [2023-07-07 19:58:35,271] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6503470Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6503476Z 2023-07-07T19:59:25.6503659Z [2023-07-07 19:58:35,271] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6503860Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6503866Z 2023-07-07T19:59:25.6504049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6504317Z - self: 2023-07-07T19:59:25.6504558Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6504673Z - aten_name: 2023-07-07T19:59:25.6504804Z - function_overloads: 2023-07-07T19:59:25.6504921Z - onnx_args: 2023-07-07T19:59:25.6505025Z - onnx_kwargs: 2023-07-07T19:59:25.6505329Z - diagnostic_context: 2023-07-07T19:59:25.6505540Z - Return value: 2023-07-07T19:59:25.6505849Z [2023-07-07 19:58:35,344] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6506007Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6506013Z 2023-07-07T19:59:25.6506207Z [2023-07-07 19:58:35,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6506459Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6506465Z 2023-07-07T19:59:25.6506650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6506918Z - self: 2023-07-07T19:59:25.6507190Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6507293Z - aten_name: 2023-07-07T19:59:25.6507424Z - function_overloads: 2023-07-07T19:59:25.6507541Z - onnx_args: 2023-07-07T19:59:25.6507658Z - onnx_kwargs: 2023-07-07T19:59:25.6507965Z - diagnostic_context: 2023-07-07T19:59:25.6508177Z - Return value: 2023-07-07T19:59:25.6508491Z [2023-07-07 19:58:35,421] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6508636Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6508656Z 2023-07-07T19:59:25.6508841Z [2023-07-07 19:58:35,422] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6509045Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6509051Z 2023-07-07T19:59:25.6509233Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6509550Z - self: 2023-07-07T19:59:25.6509792Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6509907Z - aten_name: 2023-07-07T19:59:25.6510039Z - function_overloads: 2023-07-07T19:59:25.6510154Z - onnx_args: 2023-07-07T19:59:25.6510259Z - onnx_kwargs: 2023-07-07T19:59:25.6510560Z - diagnostic_context: 2023-07-07T19:59:25.6510799Z - Return value: 2023-07-07T19:59:25.6511111Z [2023-07-07 19:58:35,486] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6511269Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6511275Z 2023-07-07T19:59:25.6511471Z [2023-07-07 19:58:35,486] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6511675Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6511681Z 2023-07-07T19:59:25.6511867Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6512135Z - self: 2023-07-07T19:59:25.6512365Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6512482Z - aten_name: 2023-07-07T19:59:25.6512614Z - function_overloads: 2023-07-07T19:59:25.6512732Z - onnx_args: 2023-07-07T19:59:25.6512847Z - onnx_kwargs: 2023-07-07T19:59:25.6513147Z - diagnostic_context: 2023-07-07T19:59:25.6513356Z - Return value: 2023-07-07T19:59:25.6513654Z [2023-07-07 19:58:35,562] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6513810Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6513847Z 2023-07-07T19:59:25.6514046Z [2023-07-07 19:58:35,562] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6514246Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6514254Z 2023-07-07T19:59:25.6514436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6514829Z - self: 2023-07-07T19:59:25.6515070Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6515185Z - aten_name: 2023-07-07T19:59:25.6515320Z - function_overloads: 2023-07-07T19:59:25.6515425Z - onnx_args: 2023-07-07T19:59:25.6515542Z - onnx_kwargs: 2023-07-07T19:59:25.6515847Z - diagnostic_context: 2023-07-07T19:59:25.6516060Z - Return value: 2023-07-07T19:59:25.6516368Z [2023-07-07 19:58:35,649] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6516528Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6516536Z 2023-07-07T19:59:25.6516732Z [2023-07-07 19:58:35,649] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6516933Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6516938Z 2023-07-07T19:59:25.6517149Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6517406Z - self: 2023-07-07T19:59:25.6517650Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6517764Z - aten_name: 2023-07-07T19:59:25.6517898Z - function_overloads: 2023-07-07T19:59:25.6518015Z - onnx_args: 2023-07-07T19:59:25.6518131Z - onnx_kwargs: 2023-07-07T19:59:25.6518463Z - diagnostic_context: 2023-07-07T19:59:25.6518665Z - Return value: 2023-07-07T19:59:25.6518973Z [2023-07-07 19:58:35,729] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6519130Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6519136Z 2023-07-07T19:59:25.6519334Z [2023-07-07 19:58:35,729] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6519536Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6519544Z 2023-07-07T19:59:25.6519727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6519994Z - self: 2023-07-07T19:59:25.6520237Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6520352Z - aten_name: 2023-07-07T19:59:25.6520473Z - function_overloads: 2023-07-07T19:59:25.6520588Z - onnx_args: 2023-07-07T19:59:25.6520705Z - onnx_kwargs: 2023-07-07T19:59:25.6521008Z - diagnostic_context: 2023-07-07T19:59:25.6521221Z - Return value: 2023-07-07T19:59:25.6521528Z [2023-07-07 19:58:35,803] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6521715Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6521721Z 2023-07-07T19:59:25.6521920Z [2023-07-07 19:58:35,803] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6522124Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6522156Z 2023-07-07T19:59:25.6522327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6522592Z - self: 2023-07-07T19:59:25.6522834Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6522950Z - aten_name: 2023-07-07T19:59:25.6523083Z - function_overloads: 2023-07-07T19:59:25.6523199Z - onnx_args: 2023-07-07T19:59:25.6523316Z - onnx_kwargs: 2023-07-07T19:59:25.6523619Z - diagnostic_context: 2023-07-07T19:59:25.6523818Z - Return value: 2023-07-07T19:59:25.6524126Z [2023-07-07 19:58:35,881] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6524287Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6524292Z 2023-07-07T19:59:25.6524656Z [2023-07-07 19:58:35,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6524919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6524990Z 2023-07-07T19:59:25.6525241Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6525521Z - self: 2023-07-07T19:59:25.6525763Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6525877Z - aten_name: 2023-07-07T19:59:25.6525995Z - function_overloads: 2023-07-07T19:59:25.6526151Z - onnx_args: 2023-07-07T19:59:25.6526269Z - onnx_kwargs: 2023-07-07T19:59:25.6526575Z - diagnostic_context: 2023-07-07T19:59:25.6526788Z - Return value: 2023-07-07T19:59:25.6527098Z [2023-07-07 19:58:35,957] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6527258Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6527264Z 2023-07-07T19:59:25.6527459Z [2023-07-07 19:58:35,957] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6527649Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6527655Z 2023-07-07T19:59:25.6527837Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6528104Z - self: 2023-07-07T19:59:25.6528348Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6528461Z - aten_name: 2023-07-07T19:59:25.6528592Z - function_overloads: 2023-07-07T19:59:25.6528708Z - onnx_args: 2023-07-07T19:59:25.6528825Z - onnx_kwargs: 2023-07-07T19:59:25.6529118Z - diagnostic_context: 2023-07-07T19:59:25.6529331Z - Return value: 2023-07-07T19:59:25.6529674Z [2023-07-07 19:58:36,036] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6529834Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6529842Z 2023-07-07T19:59:25.6530039Z [2023-07-07 19:58:36,036] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6530279Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6530284Z 2023-07-07T19:59:25.6530466Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6530737Z - self: 2023-07-07T19:59:25.6530980Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6531080Z - aten_name: 2023-07-07T19:59:25.6531213Z - function_overloads: 2023-07-07T19:59:25.6531331Z - onnx_args: 2023-07-07T19:59:25.6531447Z - onnx_kwargs: 2023-07-07T19:59:25.6531749Z - diagnostic_context: 2023-07-07T19:59:25.6531962Z - Return value: 2023-07-07T19:59:25.6532274Z [2023-07-07 19:58:36,129] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6532434Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6532439Z 2023-07-07T19:59:25.6532623Z [2023-07-07 19:58:36,129] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6532863Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6532870Z 2023-07-07T19:59:25.6533056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6533321Z - self: 2023-07-07T19:59:25.6533564Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6533708Z - aten_name: 2023-07-07T19:59:25.6533841Z - function_overloads: 2023-07-07T19:59:25.6533959Z - onnx_args: 2023-07-07T19:59:25.6534064Z - onnx_kwargs: 2023-07-07T19:59:25.6534367Z - diagnostic_context: 2023-07-07T19:59:25.6534577Z - Return value: 2023-07-07T19:59:25.6534890Z [2023-07-07 19:58:36,231] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6535046Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6535052Z 2023-07-07T19:59:25.6535250Z [2023-07-07 19:58:36,231] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6535455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6535462Z 2023-07-07T19:59:25.6535648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6535918Z - self: 2023-07-07T19:59:25.6536146Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6536259Z - aten_name: 2023-07-07T19:59:25.6536392Z - function_overloads: 2023-07-07T19:59:25.6536510Z - onnx_args: 2023-07-07T19:59:25.6536626Z - onnx_kwargs: 2023-07-07T19:59:25.6536927Z - diagnostic_context: 2023-07-07T19:59:25.6537167Z - Return value: 2023-07-07T19:59:25.6537478Z [2023-07-07 19:58:36,313] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6537626Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6537631Z 2023-07-07T19:59:25.6537858Z [2023-07-07 19:58:36,314] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6538060Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6538066Z 2023-07-07T19:59:25.6538249Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6538521Z - self: 2023-07-07T19:59:25.6538764Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6538879Z - aten_name: 2023-07-07T19:59:25.6539012Z - function_overloads: 2023-07-07T19:59:25.6539116Z - onnx_args: 2023-07-07T19:59:25.6539233Z - onnx_kwargs: 2023-07-07T19:59:25.6539537Z - diagnostic_context: 2023-07-07T19:59:25.6539751Z - Return value: 2023-07-07T19:59:25.6540057Z [2023-07-07 19:58:36,401] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6540214Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6540219Z 2023-07-07T19:59:25.6540446Z [2023-07-07 19:58:36,401] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6540649Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6540656Z 2023-07-07T19:59:25.6540838Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6541090Z - self: 2023-07-07T19:59:25.6541365Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6541481Z - aten_name: 2023-07-07T19:59:25.6541612Z - function_overloads: 2023-07-07T19:59:25.6541728Z - onnx_args: 2023-07-07T19:59:25.6541845Z - onnx_kwargs: 2023-07-07T19:59:25.6542148Z - diagnostic_context: 2023-07-07T19:59:25.6542361Z - Return value: 2023-07-07T19:59:25.6542659Z [2023-07-07 19:58:36,472] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6542820Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6542825Z 2023-07-07T19:59:25.6543021Z [2023-07-07 19:58:36,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6543227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6543237Z 2023-07-07T19:59:25.6543421Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6543687Z - self: 2023-07-07T19:59:25.6543932Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6544047Z - aten_name: 2023-07-07T19:59:25.6544178Z - function_overloads: 2023-07-07T19:59:25.6544281Z - onnx_args: 2023-07-07T19:59:25.6544398Z - onnx_kwargs: 2023-07-07T19:59:25.6544729Z - diagnostic_context: 2023-07-07T19:59:25.6544942Z - Return value: 2023-07-07T19:59:25.6545250Z [2023-07-07 19:58:36,559] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6545439Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6545445Z 2023-07-07T19:59:25.6545642Z [2023-07-07 19:58:36,559] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6545844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6545850Z 2023-07-07T19:59:25.6546021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6546287Z - self: 2023-07-07T19:59:25.6546531Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6546644Z - aten_name: 2023-07-07T19:59:25.6546777Z - function_overloads: 2023-07-07T19:59:25.6546896Z - onnx_args: 2023-07-07T19:59:25.6547012Z - onnx_kwargs: 2023-07-07T19:59:25.6547315Z - diagnostic_context: 2023-07-07T19:59:25.6547516Z - Return value: 2023-07-07T19:59:25.6547828Z [2023-07-07 19:58:36,635] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6548019Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6548026Z 2023-07-07T19:59:25.6548227Z [2023-07-07 19:58:36,635] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6548429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6548434Z 2023-07-07T19:59:25.6548616Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6548913Z - self: 2023-07-07T19:59:25.6549159Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6549271Z - aten_name: 2023-07-07T19:59:25.6549390Z - function_overloads: 2023-07-07T19:59:25.6549504Z - onnx_args: 2023-07-07T19:59:25.6549620Z - onnx_kwargs: 2023-07-07T19:59:25.6549926Z - diagnostic_context: 2023-07-07T19:59:25.6550136Z - Return value: 2023-07-07T19:59:25.6550448Z [2023-07-07 19:58:36,715] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6550608Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6550613Z 2023-07-07T19:59:25.6550814Z [2023-07-07 19:58:36,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6551001Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6551022Z 2023-07-07T19:59:25.6551190Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6551455Z - self: 2023-07-07T19:59:25.6551697Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6551811Z - aten_name: 2023-07-07T19:59:25.6551942Z - function_overloads: 2023-07-07T19:59:25.6552085Z - onnx_args: 2023-07-07T19:59:25.6552207Z - onnx_kwargs: 2023-07-07T19:59:25.6552496Z - diagnostic_context: 2023-07-07T19:59:25.6552708Z - Return value: 2023-07-07T19:59:25.6553022Z [2023-07-07 19:58:36,798] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6553210Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6553215Z 2023-07-07T19:59:25.6553411Z [2023-07-07 19:58:36,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6553613Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6553619Z 2023-07-07T19:59:25.6553801Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6554068Z - self: 2023-07-07T19:59:25.6554311Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6554413Z - aten_name: 2023-07-07T19:59:25.6554637Z - function_overloads: 2023-07-07T19:59:25.6554759Z - onnx_args: 2023-07-07T19:59:25.6554876Z - onnx_kwargs: 2023-07-07T19:59:25.6555178Z - diagnostic_context: 2023-07-07T19:59:25.6555389Z - Return value: 2023-07-07T19:59:25.6555732Z [2023-07-07 19:58:36,890] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6555896Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6555902Z 2023-07-07T19:59:25.6556087Z [2023-07-07 19:58:36,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6556291Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6556297Z 2023-07-07T19:59:25.6556511Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6556781Z - self: 2023-07-07T19:59:25.6557024Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6557139Z - aten_name: 2023-07-07T19:59:25.6557271Z - function_overloads: 2023-07-07T19:59:25.6557389Z - onnx_args: 2023-07-07T19:59:25.6557495Z - onnx_kwargs: 2023-07-07T19:59:25.6557799Z - diagnostic_context: 2023-07-07T19:59:25.6558013Z - Return value: 2023-07-07T19:59:25.6558322Z [2023-07-07 19:58:36,974] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6558480Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6558488Z 2023-07-07T19:59:25.6558685Z [2023-07-07 19:58:36,974] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6558890Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6558896Z 2023-07-07T19:59:25.6559081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6559350Z - self: 2023-07-07T19:59:25.6559580Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6559731Z - aten_name: 2023-07-07T19:59:25.6559866Z - function_overloads: 2023-07-07T19:59:25.6559980Z - onnx_args: 2023-07-07T19:59:25.6560097Z - onnx_kwargs: 2023-07-07T19:59:25.6560397Z - diagnostic_context: 2023-07-07T19:59:25.6560610Z - Return value: 2023-07-07T19:59:25.6560949Z [2023-07-07 19:58:37,058] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6561095Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6561113Z 2023-07-07T19:59:25.6561300Z [2023-07-07 19:58:37,059] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6561502Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6561508Z 2023-07-07T19:59:25.6561693Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6561959Z - self: 2023-07-07T19:59:25.6562204Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6562317Z - aten_name: 2023-07-07T19:59:25.6562451Z - function_overloads: 2023-07-07T19:59:25.6562567Z - onnx_args: 2023-07-07T19:59:25.6562671Z - onnx_kwargs: 2023-07-07T19:59:25.6562973Z - diagnostic_context: 2023-07-07T19:59:25.6563213Z - Return value: 2023-07-07T19:59:25.6563523Z [2023-07-07 19:58:37,158] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6563682Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6563688Z 2023-07-07T19:59:25.6563884Z [2023-07-07 19:58:37,158] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6564083Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6564115Z 2023-07-07T19:59:25.6564301Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6564711Z - self: 2023-07-07T19:59:25.6564946Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6565061Z - aten_name: 2023-07-07T19:59:25.6565194Z - function_overloads: 2023-07-07T19:59:25.6565309Z - onnx_args: 2023-07-07T19:59:25.6565427Z - onnx_kwargs: 2023-07-07T19:59:25.6565730Z - diagnostic_context: 2023-07-07T19:59:25.6565939Z - Return value: 2023-07-07T19:59:25.6566241Z [2023-07-07 19:58:37,261] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6566402Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6566410Z 2023-07-07T19:59:25.6566607Z [2023-07-07 19:58:37,261] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6566810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6566816Z 2023-07-07T19:59:25.6567000Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6567267Z - self: 2023-07-07T19:59:25.6567559Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6567674Z - aten_name: 2023-07-07T19:59:25.6567806Z - function_overloads: 2023-07-07T19:59:25.6567908Z - onnx_args: 2023-07-07T19:59:25.6568027Z - onnx_kwargs: 2023-07-07T19:59:25.6568330Z - diagnostic_context: 2023-07-07T19:59:25.6568601Z - Return value: 2023-07-07T19:59:25.6568911Z [2023-07-07 19:58:37,342] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6569070Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6569076Z 2023-07-07T19:59:25.6569274Z [2023-07-07 19:58:37,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6569479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6569485Z 2023-07-07T19:59:25.6569668Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6569925Z - self: 2023-07-07T19:59:25.6570166Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6570281Z - aten_name: 2023-07-07T19:59:25.6570413Z - function_overloads: 2023-07-07T19:59:25.6570529Z - onnx_args: 2023-07-07T19:59:25.6570645Z - onnx_kwargs: 2023-07-07T19:59:25.6570985Z - diagnostic_context: 2023-07-07T19:59:25.6571184Z - Return value: 2023-07-07T19:59:25.6571496Z [2023-07-07 19:58:37,428] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6571654Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6571659Z 2023-07-07T19:59:25.6571855Z [2023-07-07 19:58:37,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6572095Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6572104Z 2023-07-07T19:59:25.6572285Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6572552Z - self: 2023-07-07T19:59:25.6572795Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6572906Z - aten_name: 2023-07-07T19:59:25.6573024Z - function_overloads: 2023-07-07T19:59:25.6573139Z - onnx_args: 2023-07-07T19:59:25.6573258Z - onnx_kwargs: 2023-07-07T19:59:25.6573564Z - diagnostic_context: 2023-07-07T19:59:25.6573774Z - Return value: 2023-07-07T19:59:25.6574083Z [2023-07-07 19:58:37,512] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6574242Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6574248Z 2023-07-07T19:59:25.6574442Z [2023-07-07 19:58:37,512] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6574634Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6574652Z 2023-07-07T19:59:25.6574825Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6575122Z - self: 2023-07-07T19:59:25.6575367Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6575480Z - aten_name: 2023-07-07T19:59:25.6575614Z - function_overloads: 2023-07-07T19:59:25.6575728Z - onnx_args: 2023-07-07T19:59:25.6575878Z - onnx_kwargs: 2023-07-07T19:59:25.6576166Z - diagnostic_context: 2023-07-07T19:59:25.6576377Z - Return value: 2023-07-07T19:59:25.6576688Z [2023-07-07 19:58:37,596] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6576846Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6576852Z 2023-07-07T19:59:25.6577050Z [2023-07-07 19:58:37,596] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6577249Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6577255Z 2023-07-07T19:59:25.6577440Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6577704Z - self: 2023-07-07T19:59:25.6577948Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6578059Z - aten_name: 2023-07-07T19:59:25.6578178Z - function_overloads: 2023-07-07T19:59:25.6578292Z - onnx_args: 2023-07-07T19:59:25.6578437Z - onnx_kwargs: 2023-07-07T19:59:25.6578742Z - diagnostic_context: 2023-07-07T19:59:25.6578955Z - Return value: 2023-07-07T19:59:25.6579266Z [2023-07-07 19:58:37,678] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6579424Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6579456Z 2023-07-07T19:59:25.6579639Z [2023-07-07 19:58:37,678] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6579842Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6579848Z 2023-07-07T19:59:25.6580030Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6580295Z - self: 2023-07-07T19:59:25.6580538Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6580651Z - aten_name: 2023-07-07T19:59:25.6580785Z - function_overloads: 2023-07-07T19:59:25.6580899Z - onnx_args: 2023-07-07T19:59:25.6581014Z - onnx_kwargs: 2023-07-07T19:59:25.6581303Z - diagnostic_context: 2023-07-07T19:59:25.6581516Z - Return value: 2023-07-07T19:59:25.6581829Z [2023-07-07 19:58:37,763] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6581986Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6581992Z 2023-07-07T19:59:25.6582191Z [2023-07-07 19:58:37,763] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6582391Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6582397Z 2023-07-07T19:59:25.6582606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6582873Z - self: 2023-07-07T19:59:25.6583115Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6583219Z - aten_name: 2023-07-07T19:59:25.6583378Z - function_overloads: 2023-07-07T19:59:25.6583493Z - onnx_args: 2023-07-07T19:59:25.6583612Z - onnx_kwargs: 2023-07-07T19:59:25.6583917Z - diagnostic_context: 2023-07-07T19:59:25.6584127Z - Return value: 2023-07-07T19:59:25.6584438Z [2023-07-07 19:58:37,842] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6584587Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6584606Z 2023-07-07T19:59:25.6584787Z [2023-07-07 19:58:37,842] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6584989Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6584997Z 2023-07-07T19:59:25.6585177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6585445Z - self: 2023-07-07T19:59:25.6585686Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6585797Z - aten_name: 2023-07-07T19:59:25.6585963Z - function_overloads: 2023-07-07T19:59:25.6586080Z - onnx_args: 2023-07-07T19:59:25.6586186Z - onnx_kwargs: 2023-07-07T19:59:25.6586491Z - diagnostic_context: 2023-07-07T19:59:25.6586701Z - Return value: 2023-07-07T19:59:25.6587011Z [2023-07-07 19:58:37,934] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6587197Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6587204Z 2023-07-07T19:59:25.6587401Z [2023-07-07 19:58:37,934] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6587600Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6587606Z 2023-07-07T19:59:25.6587793Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6588060Z - self: 2023-07-07T19:59:25.6588293Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6588406Z - aten_name: 2023-07-07T19:59:25.6588539Z - function_overloads: 2023-07-07T19:59:25.6588653Z - onnx_args: 2023-07-07T19:59:25.6588772Z - onnx_kwargs: 2023-07-07T19:59:25.6589072Z - diagnostic_context: 2023-07-07T19:59:25.6589284Z - Return value: 2023-07-07T19:59:25.6589581Z [2023-07-07 19:58:38,024] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6589740Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6589746Z 2023-07-07T19:59:25.6589941Z [2023-07-07 19:58:38,024] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6590171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6590178Z 2023-07-07T19:59:25.6590361Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6590628Z - self: 2023-07-07T19:59:25.6590873Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6591013Z - aten_name: 2023-07-07T19:59:25.6591144Z - function_overloads: 2023-07-07T19:59:25.6591247Z - onnx_args: 2023-07-07T19:59:25.6591364Z - onnx_kwargs: 2023-07-07T19:59:25.6591668Z - diagnostic_context: 2023-07-07T19:59:25.6591881Z - Return value: 2023-07-07T19:59:25.6592190Z [2023-07-07 19:58:38,120] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6592347Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6592353Z 2023-07-07T19:59:25.6592549Z [2023-07-07 19:58:38,120] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6592754Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6592762Z 2023-07-07T19:59:25.6592946Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6593199Z - self: 2023-07-07T19:59:25.6593470Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6593586Z - aten_name: 2023-07-07T19:59:25.6593718Z - function_overloads: 2023-07-07T19:59:25.6593832Z - onnx_args: 2023-07-07T19:59:25.6593950Z - onnx_kwargs: 2023-07-07T19:59:25.6594252Z - diagnostic_context: 2023-07-07T19:59:25.6594525Z - Return value: 2023-07-07T19:59:25.6594883Z [2023-07-07 19:58:38,208] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6595043Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6595049Z 2023-07-07T19:59:25.6595245Z [2023-07-07 19:58:38,208] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6595449Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6595455Z 2023-07-07T19:59:25.6595637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6595909Z - self: 2023-07-07T19:59:25.6596151Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6596264Z - aten_name: 2023-07-07T19:59:25.6596385Z - function_overloads: 2023-07-07T19:59:25.6596502Z - onnx_args: 2023-07-07T19:59:25.6596622Z - onnx_kwargs: 2023-07-07T19:59:25.6596924Z - diagnostic_context: 2023-07-07T19:59:25.6597137Z - Return value: 2023-07-07T19:59:25.6597449Z [2023-07-07 19:58:38,314] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6597608Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6597614Z 2023-07-07T19:59:25.6597839Z [2023-07-07 19:58:38,314] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6598042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6598049Z 2023-07-07T19:59:25.6598217Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6598484Z - self: 2023-07-07T19:59:25.6598765Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6598878Z - aten_name: 2023-07-07T19:59:25.6599008Z - function_overloads: 2023-07-07T19:59:25.6599125Z - onnx_args: 2023-07-07T19:59:25.6599243Z - onnx_kwargs: 2023-07-07T19:59:25.6599545Z - diagnostic_context: 2023-07-07T19:59:25.6599745Z - Return value: 2023-07-07T19:59:25.6600058Z [2023-07-07 19:58:38,401] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6600215Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6600223Z 2023-07-07T19:59:25.6600420Z [2023-07-07 19:58:38,401] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6600625Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6600631Z 2023-07-07T19:59:25.6600814Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6601109Z - self: 2023-07-07T19:59:25.6601358Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6601471Z - aten_name: 2023-07-07T19:59:25.6601592Z - function_overloads: 2023-07-07T19:59:25.6601712Z - onnx_args: 2023-07-07T19:59:25.6601829Z - onnx_kwargs: 2023-07-07T19:59:25.6602132Z - diagnostic_context: 2023-07-07T19:59:25.6602376Z - Return value: 2023-07-07T19:59:25.6602689Z [2023-07-07 19:58:38,488] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6602848Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6602854Z 2023-07-07T19:59:25.6603051Z [2023-07-07 19:58:38,488] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6603241Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6603246Z 2023-07-07T19:59:25.6603431Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6603696Z - self: 2023-07-07T19:59:25.6603937Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6604054Z - aten_name: 2023-07-07T19:59:25.6604186Z - function_overloads: 2023-07-07T19:59:25.6604300Z - onnx_args: 2023-07-07T19:59:25.6604541Z - onnx_kwargs: 2023-07-07T19:59:25.6604921Z - diagnostic_context: 2023-07-07T19:59:25.6605137Z - Return value: 2023-07-07T19:59:25.6605454Z [2023-07-07 19:58:38,586] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6605614Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6605676Z 2023-07-07T19:59:25.6605875Z [2023-07-07 19:58:38,586] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6606077Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6606085Z 2023-07-07T19:59:25.6606268Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6606577Z - self: 2023-07-07T19:59:25.6606824Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6606925Z - aten_name: 2023-07-07T19:59:25.6607058Z - function_overloads: 2023-07-07T19:59:25.6607173Z - onnx_args: 2023-07-07T19:59:25.6607290Z - onnx_kwargs: 2023-07-07T19:59:25.6607594Z - diagnostic_context: 2023-07-07T19:59:25.6607805Z - Return value: 2023-07-07T19:59:25.6608115Z [2023-07-07 19:58:38,669] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6608275Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6608283Z 2023-07-07T19:59:25.6608467Z [2023-07-07 19:58:38,670] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6608669Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6608675Z 2023-07-07T19:59:25.6608887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6609159Z - self: 2023-07-07T19:59:25.6609403Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6609516Z - aten_name: 2023-07-07T19:59:25.6609648Z - function_overloads: 2023-07-07T19:59:25.6609765Z - onnx_args: 2023-07-07T19:59:25.6609907Z - onnx_kwargs: 2023-07-07T19:59:25.6610209Z - diagnostic_context: 2023-07-07T19:59:25.6610422Z - Return value: 2023-07-07T19:59:25.6610732Z [2023-07-07 19:58:38,770] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6610891Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6610898Z 2023-07-07T19:59:25.6611095Z [2023-07-07 19:58:38,771] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6611301Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6611306Z 2023-07-07T19:59:25.6611489Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6611757Z - self: 2023-07-07T19:59:25.6611993Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6612108Z - aten_name: 2023-07-07T19:59:25.6612239Z - function_overloads: 2023-07-07T19:59:25.6612356Z - onnx_args: 2023-07-07T19:59:25.6612472Z - onnx_kwargs: 2023-07-07T19:59:25.6612778Z - diagnostic_context: 2023-07-07T19:59:25.6612990Z - Return value: 2023-07-07T19:59:25.6613339Z [2023-07-07 19:58:38,865] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6613488Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6613493Z 2023-07-07T19:59:25.6613690Z [2023-07-07 19:58:38,865] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6613891Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6613924Z 2023-07-07T19:59:25.6614110Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6614375Z - self: 2023-07-07T19:59:25.6614620Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6614733Z - aten_name: 2023-07-07T19:59:25.6614862Z - function_overloads: 2023-07-07T19:59:25.6614966Z - onnx_args: 2023-07-07T19:59:25.6615083Z - onnx_kwargs: 2023-07-07T19:59:25.6615386Z - diagnostic_context: 2023-07-07T19:59:25.6615595Z - Return value: 2023-07-07T19:59:25.6615904Z [2023-07-07 19:58:38,984] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6616063Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6616069Z 2023-07-07T19:59:25.6616267Z [2023-07-07 19:58:38,984] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6616498Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6616505Z 2023-07-07T19:59:25.6616687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6616943Z - self: 2023-07-07T19:59:25.6617185Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6617297Z - aten_name: 2023-07-07T19:59:25.6617429Z - function_overloads: 2023-07-07T19:59:25.6617572Z - onnx_args: 2023-07-07T19:59:25.6617688Z - onnx_kwargs: 2023-07-07T19:59:25.6617992Z - diagnostic_context: 2023-07-07T19:59:25.6618201Z - Return value: 2023-07-07T19:59:25.6618499Z [2023-07-07 19:58:39,136] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6618656Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6618662Z 2023-07-07T19:59:25.6618858Z [2023-07-07 19:58:39,136] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6619059Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6619065Z 2023-07-07T19:59:25.6619247Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6619514Z - self: 2023-07-07T19:59:25.6619760Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6619872Z - aten_name: 2023-07-07T19:59:25.6620004Z - function_overloads: 2023-07-07T19:59:25.6620106Z - onnx_args: 2023-07-07T19:59:25.6620221Z - onnx_kwargs: 2023-07-07T19:59:25.6620525Z - diagnostic_context: 2023-07-07T19:59:25.6620735Z - Return value: 2023-07-07T19:59:25.6621069Z [2023-07-07 19:58:39,234] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6621230Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6621238Z 2023-07-07T19:59:25.6621433Z [2023-07-07 19:58:39,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6621660Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6621666Z 2023-07-07T19:59:25.6621836Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6622104Z - self: 2023-07-07T19:59:25.6622346Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6622458Z - aten_name: 2023-07-07T19:59:25.6622592Z - function_overloads: 2023-07-07T19:59:25.6622708Z - onnx_args: 2023-07-07T19:59:25.6622823Z - onnx_kwargs: 2023-07-07T19:59:25.6623124Z - diagnostic_context: 2023-07-07T19:59:25.6623325Z - Return value: 2023-07-07T19:59:25.6623636Z [2023-07-07 19:58:39,348] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6623794Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6623800Z 2023-07-07T19:59:25.6623996Z [2023-07-07 19:58:39,348] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6624220Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6624227Z 2023-07-07T19:59:25.6624411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6624675Z - self: 2023-07-07T19:59:25.6624915Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6625055Z - aten_name: 2023-07-07T19:59:25.6625174Z - function_overloads: 2023-07-07T19:59:25.6625292Z - onnx_args: 2023-07-07T19:59:25.6625409Z - onnx_kwargs: 2023-07-07T19:59:25.6625709Z - diagnostic_context: 2023-07-07T19:59:25.6625919Z - Return value: 2023-07-07T19:59:25.6626230Z [2023-07-07 19:58:39,450] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6626389Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6626397Z 2023-07-07T19:59:25.6626591Z [2023-07-07 19:58:39,451] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6626780Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6626800Z 2023-07-07T19:59:25.6626969Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6627236Z - self: 2023-07-07T19:59:25.6627478Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6627589Z - aten_name: 2023-07-07T19:59:25.6627720Z - function_overloads: 2023-07-07T19:59:25.6627835Z - onnx_args: 2023-07-07T19:59:25.6627952Z - onnx_kwargs: 2023-07-07T19:59:25.6628243Z - diagnostic_context: 2023-07-07T19:59:25.6628505Z - Return value: 2023-07-07T19:59:25.6628813Z [2023-07-07 19:58:39,574] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6628972Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6629005Z 2023-07-07T19:59:25.6629203Z [2023-07-07 19:58:39,575] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6629401Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6629407Z 2023-07-07T19:59:25.6629594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6629858Z - self: 2023-07-07T19:59:25.6630100Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6630200Z - aten_name: 2023-07-07T19:59:25.6630331Z - function_overloads: 2023-07-07T19:59:25.6630447Z - onnx_args: 2023-07-07T19:59:25.6630564Z - onnx_kwargs: 2023-07-07T19:59:25.6630868Z - diagnostic_context: 2023-07-07T19:59:25.6631081Z - Return value: 2023-07-07T19:59:25.6631392Z [2023-07-07 19:58:39,653] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6631548Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6631554Z 2023-07-07T19:59:25.6631763Z [2023-07-07 19:58:39,653] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6631968Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6631975Z 2023-07-07T19:59:25.6632158Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6632423Z - self: 2023-07-07T19:59:25.6632693Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6632809Z - aten_name: 2023-07-07T19:59:25.6632939Z - function_overloads: 2023-07-07T19:59:25.6633053Z - onnx_args: 2023-07-07T19:59:25.6633157Z - onnx_kwargs: 2023-07-07T19:59:25.6633461Z - diagnostic_context: 2023-07-07T19:59:25.6633675Z - Return value: 2023-07-07T19:59:25.6633982Z [2023-07-07 19:58:39,735] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6634142Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6634147Z 2023-07-07T19:59:25.6634342Z [2023-07-07 19:58:39,735] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6634625Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6634635Z 2023-07-07T19:59:25.6634819Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6635088Z - self: 2023-07-07T19:59:25.6635331Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6635434Z - aten_name: 2023-07-07T19:59:25.6635567Z - function_overloads: 2023-07-07T19:59:25.6635683Z - onnx_args: 2023-07-07T19:59:25.6635800Z - onnx_kwargs: 2023-07-07T19:59:25.6636135Z - diagnostic_context: 2023-07-07T19:59:25.6636347Z - Return value: 2023-07-07T19:59:25.6636657Z [2023-07-07 19:58:39,812] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6636833Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6636850Z 2023-07-07T19:59:25.6637034Z [2023-07-07 19:58:39,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6637235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6637244Z 2023-07-07T19:59:25.6637427Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6637695Z - self: 2023-07-07T19:59:25.6637935Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6638047Z - aten_name: 2023-07-07T19:59:25.6638178Z - function_overloads: 2023-07-07T19:59:25.6638295Z - onnx_args: 2023-07-07T19:59:25.6638399Z - onnx_kwargs: 2023-07-07T19:59:25.6638702Z - diagnostic_context: 2023-07-07T19:59:25.6638911Z - Return value: 2023-07-07T19:59:25.6639218Z [2023-07-07 19:58:39,889] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6639415Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6639422Z 2023-07-07T19:59:25.6639620Z [2023-07-07 19:58:39,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6639824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6639830Z 2023-07-07T19:59:25.6640012Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6640309Z - self: 2023-07-07T19:59:25.6640541Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6640654Z - aten_name: 2023-07-07T19:59:25.6640785Z - function_overloads: 2023-07-07T19:59:25.6640900Z - onnx_args: 2023-07-07T19:59:25.6641016Z - onnx_kwargs: 2023-07-07T19:59:25.6641320Z - diagnostic_context: 2023-07-07T19:59:25.6641529Z - Return value: 2023-07-07T19:59:25.6641828Z [2023-07-07 19:58:39,965] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6641986Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6641994Z 2023-07-07T19:59:25.6642189Z [2023-07-07 19:58:39,965] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6642395Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6642401Z 2023-07-07T19:59:25.6642581Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6642849Z - self: 2023-07-07T19:59:25.6643094Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6643204Z - aten_name: 2023-07-07T19:59:25.6643335Z - function_overloads: 2023-07-07T19:59:25.6643464Z - onnx_args: 2023-07-07T19:59:25.6643583Z - onnx_kwargs: 2023-07-07T19:59:25.6643886Z - diagnostic_context: 2023-07-07T19:59:25.6644097Z - Return value: 2023-07-07T19:59:25.6644525Z [2023-07-07 19:58:40,038] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6644756Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6644761Z 2023-07-07T19:59:25.6644964Z [2023-07-07 19:58:40,038] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6645169Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6645174Z 2023-07-07T19:59:25.6645359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6645611Z - self: 2023-07-07T19:59:25.6645855Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6645970Z - aten_name: 2023-07-07T19:59:25.6646101Z - function_overloads: 2023-07-07T19:59:25.6646218Z - onnx_args: 2023-07-07T19:59:25.6646334Z - onnx_kwargs: 2023-07-07T19:59:25.6646637Z - diagnostic_context: 2023-07-07T19:59:25.6646835Z - Return value: 2023-07-07T19:59:25.6647182Z [2023-07-07 19:58:40,109] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6647341Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6647347Z 2023-07-07T19:59:25.6647545Z [2023-07-07 19:58:40,109] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6647744Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6647787Z 2023-07-07T19:59:25.6647970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6648237Z - self: 2023-07-07T19:59:25.6648477Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6648589Z - aten_name: 2023-07-07T19:59:25.6648708Z - function_overloads: 2023-07-07T19:59:25.6648825Z - onnx_args: 2023-07-07T19:59:25.6648941Z - onnx_kwargs: 2023-07-07T19:59:25.6649243Z - diagnostic_context: 2023-07-07T19:59:25.6649454Z - Return value: 2023-07-07T19:59:25.6649763Z [2023-07-07 19:58:40,185] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6649924Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6649930Z 2023-07-07T19:59:25.6650127Z [2023-07-07 19:58:40,186] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6650316Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6650335Z 2023-07-07T19:59:25.6650506Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6650774Z - self: 2023-07-07T19:59:25.6651016Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6651163Z - aten_name: 2023-07-07T19:59:25.6651298Z - function_overloads: 2023-07-07T19:59:25.6651413Z - onnx_args: 2023-07-07T19:59:25.6651528Z - onnx_kwargs: 2023-07-07T19:59:25.6651821Z - diagnostic_context: 2023-07-07T19:59:25.6652061Z - Return value: 2023-07-07T19:59:25.6652367Z [2023-07-07 19:58:40,260] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6652526Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6652532Z 2023-07-07T19:59:25.6652728Z [2023-07-07 19:58:40,260] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6652929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6652936Z 2023-07-07T19:59:25.6653116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6653380Z - self: 2023-07-07T19:59:25.6653626Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6653739Z - aten_name: 2023-07-07T19:59:25.6653857Z - function_overloads: 2023-07-07T19:59:25.6653972Z - onnx_args: 2023-07-07T19:59:25.6654089Z - onnx_kwargs: 2023-07-07T19:59:25.6654393Z - diagnostic_context: 2023-07-07T19:59:25.6654629Z - Return value: 2023-07-07T19:59:25.6655016Z [2023-07-07 19:58:40,371] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6655229Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6655235Z 2023-07-07T19:59:25.6655435Z [2023-07-07 19:58:40,371] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6655622Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6655664Z 2023-07-07T19:59:25.6655846Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6656111Z - self: 2023-07-07T19:59:25.6656352Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6656466Z - aten_name: 2023-07-07T19:59:25.6656599Z - function_overloads: 2023-07-07T19:59:25.6656714Z - onnx_args: 2023-07-07T19:59:25.6656831Z - onnx_kwargs: 2023-07-07T19:59:25.6657125Z - diagnostic_context: 2023-07-07T19:59:25.6657335Z - Return value: 2023-07-07T19:59:25.6657643Z [2023-07-07 19:58:40,446] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6657806Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6657812Z 2023-07-07T19:59:25.6658007Z [2023-07-07 19:58:40,446] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6658208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6658214Z 2023-07-07T19:59:25.6658397Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6658660Z - self: 2023-07-07T19:59:25.6658928Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6659029Z - aten_name: 2023-07-07T19:59:25.6659161Z - function_overloads: 2023-07-07T19:59:25.6659279Z - onnx_args: 2023-07-07T19:59:25.6659395Z - onnx_kwargs: 2023-07-07T19:59:25.6659701Z - diagnostic_context: 2023-07-07T19:59:25.6659942Z - Return value: 2023-07-07T19:59:25.6660250Z [2023-07-07 19:58:40,539] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6660397Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6660416Z 2023-07-07T19:59:25.6660599Z [2023-07-07 19:58:40,539] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6660803Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6660808Z 2023-07-07T19:59:25.6660991Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6661260Z - self: 2023-07-07T19:59:25.6661505Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6661618Z - aten_name: 2023-07-07T19:59:25.6661749Z - function_overloads: 2023-07-07T19:59:25.6661867Z - onnx_args: 2023-07-07T19:59:25.6661971Z - onnx_kwargs: 2023-07-07T19:59:25.6662303Z - diagnostic_context: 2023-07-07T19:59:25.6662518Z - Return value: 2023-07-07T19:59:25.6662829Z [2023-07-07 19:58:40,600] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6662988Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6662994Z 2023-07-07T19:59:25.6663223Z [2023-07-07 19:58:40,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6663427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6663436Z 2023-07-07T19:59:25.6663619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6663882Z - self: 2023-07-07T19:59:25.6664113Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6664226Z - aten_name: 2023-07-07T19:59:25.6664358Z - function_overloads: 2023-07-07T19:59:25.6664479Z - onnx_args: 2023-07-07T19:59:25.6664596Z - onnx_kwargs: 2023-07-07T19:59:25.6664897Z - diagnostic_context: 2023-07-07T19:59:25.6665152Z - Return value: 2023-07-07T19:59:25.6665456Z [2023-07-07 19:58:40,676] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6665656Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6665666Z 2023-07-07T19:59:25.6665960Z [2023-07-07 19:58:40,676] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6666168Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6666174Z 2023-07-07T19:59:25.6666356Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6666679Z - self: 2023-07-07T19:59:25.6666922Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6667038Z - aten_name: 2023-07-07T19:59:25.6667174Z - function_overloads: 2023-07-07T19:59:25.6667276Z - onnx_args: 2023-07-07T19:59:25.6667422Z - onnx_kwargs: 2023-07-07T19:59:25.6667728Z - diagnostic_context: 2023-07-07T19:59:25.6667940Z - Return value: 2023-07-07T19:59:25.6668252Z [2023-07-07 19:58:40,752] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6668409Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6668415Z 2023-07-07T19:59:25.6668618Z [2023-07-07 19:58:40,752] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6668822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6668828Z 2023-07-07T19:59:25.6669012Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6669271Z - self: 2023-07-07T19:59:25.6669514Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6669627Z - aten_name: 2023-07-07T19:59:25.6669759Z - function_overloads: 2023-07-07T19:59:25.6669901Z - onnx_args: 2023-07-07T19:59:25.6670020Z - onnx_kwargs: 2023-07-07T19:59:25.6670321Z - diagnostic_context: 2023-07-07T19:59:25.6670533Z - Return value: 2023-07-07T19:59:25.6670829Z [2023-07-07 19:58:40,827] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6670986Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6671021Z 2023-07-07T19:59:25.6671219Z [2023-07-07 19:58:40,828] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6671425Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6671431Z 2023-07-07T19:59:25.6671613Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6671881Z - self: 2023-07-07T19:59:25.6672124Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6672237Z - aten_name: 2023-07-07T19:59:25.6672368Z - function_overloads: 2023-07-07T19:59:25.6672471Z - onnx_args: 2023-07-07T19:59:25.6672587Z - onnx_kwargs: 2023-07-07T19:59:25.6672890Z - diagnostic_context: 2023-07-07T19:59:25.6673102Z - Return value: 2023-07-07T19:59:25.6673414Z [2023-07-07 19:58:40,904] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6673570Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6673576Z 2023-07-07T19:59:25.6673773Z [2023-07-07 19:58:40,904] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6673976Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6673982Z 2023-07-07T19:59:25.6674183Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6674521Z - self: 2023-07-07T19:59:25.6674771Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6674884Z - aten_name: 2023-07-07T19:59:25.6675053Z - function_overloads: 2023-07-07T19:59:25.6675169Z - onnx_args: 2023-07-07T19:59:25.6675289Z - onnx_kwargs: 2023-07-07T19:59:25.6675590Z - diagnostic_context: 2023-07-07T19:59:25.6675791Z - Return value: 2023-07-07T19:59:25.6676098Z [2023-07-07 19:58:40,985] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6676258Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6676264Z 2023-07-07T19:59:25.6676524Z [2023-07-07 19:58:40,985] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6676825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6676839Z 2023-07-07T19:59:25.6677031Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6677304Z - self: 2023-07-07T19:59:25.6677547Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6677697Z - aten_name: 2023-07-07T19:59:25.6677819Z - function_overloads: 2023-07-07T19:59:25.6677933Z - onnx_args: 2023-07-07T19:59:25.6678049Z - onnx_kwargs: 2023-07-07T19:59:25.6678353Z - diagnostic_context: 2023-07-07T19:59:25.6678563Z - Return value: 2023-07-07T19:59:25.6678874Z [2023-07-07 19:58:41,060] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6679060Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6679069Z 2023-07-07T19:59:25.6679265Z [2023-07-07 19:58:41,060] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6679455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6679472Z 2023-07-07T19:59:25.6679644Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6679910Z - self: 2023-07-07T19:59:25.6680156Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6680269Z - aten_name: 2023-07-07T19:59:25.6680400Z - function_overloads: 2023-07-07T19:59:25.6680515Z - onnx_args: 2023-07-07T19:59:25.6680634Z - onnx_kwargs: 2023-07-07T19:59:25.6680922Z - diagnostic_context: 2023-07-07T19:59:25.6681134Z - Return value: 2023-07-07T19:59:25.6681442Z [2023-07-07 19:58:41,136] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6681601Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6681608Z 2023-07-07T19:59:25.6681804Z [2023-07-07 19:58:41,136] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6682032Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6682039Z 2023-07-07T19:59:25.6682224Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6682495Z - self: 2023-07-07T19:59:25.6682736Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6682866Z - aten_name: 2023-07-07T19:59:25.6682998Z - function_overloads: 2023-07-07T19:59:25.6683115Z - onnx_args: 2023-07-07T19:59:25.6683231Z - onnx_kwargs: 2023-07-07T19:59:25.6683536Z - diagnostic_context: 2023-07-07T19:59:25.6683747Z - Return value: 2023-07-07T19:59:25.6684059Z [2023-07-07 19:58:41,209] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6684216Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6684223Z 2023-07-07T19:59:25.6684521Z [2023-07-07 19:58:41,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6684736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6684744Z 2023-07-07T19:59:25.6684926Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6685194Z - self: 2023-07-07T19:59:25.6685488Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6685606Z - aten_name: 2023-07-07T19:59:25.6685737Z - function_overloads: 2023-07-07T19:59:25.6685853Z - onnx_args: 2023-07-07T19:59:25.6685960Z - onnx_kwargs: 2023-07-07T19:59:25.6686263Z - diagnostic_context: 2023-07-07T19:59:25.6686475Z - Return value: 2023-07-07T19:59:25.6686853Z [2023-07-07 19:58:41,296] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6687013Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6687018Z 2023-07-07T19:59:25.6687217Z [2023-07-07 19:58:41,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6687421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6687427Z 2023-07-07T19:59:25.6687610Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6687880Z - self: 2023-07-07T19:59:25.6688112Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6688226Z - aten_name: 2023-07-07T19:59:25.6688359Z - function_overloads: 2023-07-07T19:59:25.6688475Z - onnx_args: 2023-07-07T19:59:25.6688596Z - onnx_kwargs: 2023-07-07T19:59:25.6688898Z - diagnostic_context: 2023-07-07T19:59:25.6689109Z - Return value: 2023-07-07T19:59:25.6689423Z [2023-07-07 19:58:41,418] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6689570Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6689575Z 2023-07-07T19:59:25.6689807Z [2023-07-07 19:58:41,418] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6690010Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6690016Z 2023-07-07T19:59:25.6690200Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6690467Z - self: 2023-07-07T19:59:25.6690742Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6690855Z - aten_name: 2023-07-07T19:59:25.6690985Z - function_overloads: 2023-07-07T19:59:25.6691088Z - onnx_args: 2023-07-07T19:59:25.6691207Z - onnx_kwargs: 2023-07-07T19:59:25.6691508Z - diagnostic_context: 2023-07-07T19:59:25.6691722Z - Return value: 2023-07-07T19:59:25.6692033Z [2023-07-07 19:58:41,512] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6692191Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6692199Z 2023-07-07T19:59:25.6692394Z [2023-07-07 19:58:41,512] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6692598Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6692604Z 2023-07-07T19:59:25.6692785Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6693078Z - self: 2023-07-07T19:59:25.6693323Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6693435Z - aten_name: 2023-07-07T19:59:25.6693568Z - function_overloads: 2023-07-07T19:59:25.6693684Z - onnx_args: 2023-07-07T19:59:25.6693800Z - onnx_kwargs: 2023-07-07T19:59:25.6694100Z - diagnostic_context: 2023-07-07T19:59:25.6694340Z - Return value: 2023-07-07T19:59:25.6694638Z [2023-07-07 19:58:41,585] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6694798Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6694804Z 2023-07-07T19:59:25.6695000Z [2023-07-07 19:58:41,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6695199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6695205Z 2023-07-07T19:59:25.6695389Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6695654Z - self: 2023-07-07T19:59:25.6695896Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6696012Z - aten_name: 2023-07-07T19:59:25.6696144Z - function_overloads: 2023-07-07T19:59:25.6696247Z - onnx_args: 2023-07-07T19:59:25.6696364Z - onnx_kwargs: 2023-07-07T19:59:25.6696666Z - diagnostic_context: 2023-07-07T19:59:25.6696878Z - Return value: 2023-07-07T19:59:25.6697188Z [2023-07-07 19:58:41,664] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6697373Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6697380Z 2023-07-07T19:59:25.6697574Z [2023-07-07 19:58:41,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6697777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6697785Z 2023-07-07T19:59:25.6697965Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6698246Z - self: 2023-07-07T19:59:25.6698486Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6698598Z - aten_name: 2023-07-07T19:59:25.6698732Z - function_overloads: 2023-07-07T19:59:25.6698847Z - onnx_args: 2023-07-07T19:59:25.6698963Z - onnx_kwargs: 2023-07-07T19:59:25.6699267Z - diagnostic_context: 2023-07-07T19:59:25.6699465Z - Return value: 2023-07-07T19:59:25.6699772Z [2023-07-07 19:58:41,741] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6699930Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6699938Z 2023-07-07T19:59:25.6700132Z [2023-07-07 19:58:41,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6700329Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6700335Z 2023-07-07T19:59:25.6700544Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6700809Z - self: 2023-07-07T19:59:25.6701054Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6701166Z - aten_name: 2023-07-07T19:59:25.6701284Z - function_overloads: 2023-07-07T19:59:25.6701398Z - onnx_args: 2023-07-07T19:59:25.6701543Z - onnx_kwargs: 2023-07-07T19:59:25.6701847Z - diagnostic_context: 2023-07-07T19:59:25.6702059Z - Return value: 2023-07-07T19:59:25.6702368Z [2023-07-07 19:58:41,824] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6702527Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6702533Z 2023-07-07T19:59:25.6702723Z [2023-07-07 19:58:41,824] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6707777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6707791Z 2023-07-07T19:59:25.6707998Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6708293Z - self: 2023-07-07T19:59:25.6708555Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6708675Z - aten_name: 2023-07-07T19:59:25.6708797Z - function_overloads: 2023-07-07T19:59:25.6708915Z - onnx_args: 2023-07-07T19:59:25.6709032Z - onnx_kwargs: 2023-07-07T19:59:25.6709343Z - diagnostic_context: 2023-07-07T19:59:25.6709558Z - Return value: 2023-07-07T19:59:25.6709936Z [2023-07-07 19:58:41,905] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6710100Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6710107Z 2023-07-07T19:59:25.6710308Z [2023-07-07 19:58:41,905] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6710519Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6710559Z 2023-07-07T19:59:25.6710735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6711006Z - self: 2023-07-07T19:59:25.6711253Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6711368Z - aten_name: 2023-07-07T19:59:25.6711503Z - function_overloads: 2023-07-07T19:59:25.6711620Z - onnx_args: 2023-07-07T19:59:25.6711738Z - onnx_kwargs: 2023-07-07T19:59:25.6712044Z - diagnostic_context: 2023-07-07T19:59:25.6712244Z - Return value: 2023-07-07T19:59:25.6712558Z [2023-07-07 19:58:41,982] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6712720Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6712726Z 2023-07-07T19:59:25.6712929Z [2023-07-07 19:58:41,982] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6713168Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6713175Z 2023-07-07T19:59:25.6713360Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6713633Z - self: 2023-07-07T19:59:25.6713877Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6713992Z - aten_name: 2023-07-07T19:59:25.6714139Z - function_overloads: 2023-07-07T19:59:25.6714255Z - onnx_args: 2023-07-07T19:59:25.6714378Z - onnx_kwargs: 2023-07-07T19:59:25.6714769Z - diagnostic_context: 2023-07-07T19:59:25.6714985Z - Return value: 2023-07-07T19:59:25.6715296Z [2023-07-07 19:58:42,074] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6715455Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6715462Z 2023-07-07T19:59:25.6715663Z [2023-07-07 19:58:42,074] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6715857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6715862Z 2023-07-07T19:59:25.6716049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6716321Z - self: 2023-07-07T19:59:25.6716565Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6716679Z - aten_name: 2023-07-07T19:59:25.6716812Z - function_overloads: 2023-07-07T19:59:25.6716928Z - onnx_args: 2023-07-07T19:59:25.6717048Z - onnx_kwargs: 2023-07-07T19:59:25.6717338Z - diagnostic_context: 2023-07-07T19:59:25.6717548Z - Return value: 2023-07-07T19:59:25.6717891Z [2023-07-07 19:58:42,132] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6718110Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6718121Z 2023-07-07T19:59:25.6718380Z [2023-07-07 19:58:42,132] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6718622Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6718629Z 2023-07-07T19:59:25.6718814Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6719087Z - self: 2023-07-07T19:59:25.6719330Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6719431Z - aten_name: 2023-07-07T19:59:25.6719566Z - function_overloads: 2023-07-07T19:59:25.6719682Z - onnx_args: 2023-07-07T19:59:25.6719800Z - onnx_kwargs: 2023-07-07T19:59:25.6720102Z - diagnostic_context: 2023-07-07T19:59:25.6720317Z - Return value: 2023-07-07T19:59:25.6720631Z [2023-07-07 19:58:42,187] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6720790Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6720796Z 2023-07-07T19:59:25.6721010Z [2023-07-07 19:58:42,187] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6721216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6721222Z 2023-07-07T19:59:25.6721408Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6721677Z - self: 2023-07-07T19:59:25.6721919Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6722070Z - aten_name: 2023-07-07T19:59:25.6722205Z - function_overloads: 2023-07-07T19:59:25.6722322Z - onnx_args: 2023-07-07T19:59:25.6722426Z - onnx_kwargs: 2023-07-07T19:59:25.6722728Z - diagnostic_context: 2023-07-07T19:59:25.6722937Z - Return value: 2023-07-07T19:59:25.6723249Z [2023-07-07 19:58:42,267] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6723407Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6723415Z 2023-07-07T19:59:25.6723615Z [2023-07-07 19:58:42,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6723817Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6723826Z 2023-07-07T19:59:25.6724011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6724280Z - self: 2023-07-07T19:59:25.6724696Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6724823Z - aten_name: 2023-07-07T19:59:25.6724959Z - function_overloads: 2023-07-07T19:59:25.6725075Z - onnx_args: 2023-07-07T19:59:25.6725194Z - onnx_kwargs: 2023-07-07T19:59:25.6725573Z - diagnostic_context: 2023-07-07T19:59:25.6725787Z - Return value: 2023-07-07T19:59:25.6726101Z [2023-07-07 19:58:42,341] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6726250Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6726292Z 2023-07-07T19:59:25.6726489Z [2023-07-07 19:58:42,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6726690Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6726696Z 2023-07-07T19:59:25.6726885Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6727155Z - self: 2023-07-07T19:59:25.6727402Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6727517Z - aten_name: 2023-07-07T19:59:25.6727651Z - function_overloads: 2023-07-07T19:59:25.6727753Z - onnx_args: 2023-07-07T19:59:25.6727870Z - onnx_kwargs: 2023-07-07T19:59:25.6728175Z - diagnostic_context: 2023-07-07T19:59:25.6728389Z - Return value: 2023-07-07T19:59:25.6728706Z [2023-07-07 19:58:42,434] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6728867Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6728906Z 2023-07-07T19:59:25.6729221Z [2023-07-07 19:58:42,434] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6729452Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6729459Z 2023-07-07T19:59:25.6729643Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6729903Z - self: 2023-07-07T19:59:25.6730200Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6730316Z - aten_name: 2023-07-07T19:59:25.6730449Z - function_overloads: 2023-07-07T19:59:25.6730565Z - onnx_args: 2023-07-07T19:59:25.6730682Z - onnx_kwargs: 2023-07-07T19:59:25.6730990Z - diagnostic_context: 2023-07-07T19:59:25.6731202Z - Return value: 2023-07-07T19:59:25.6731506Z [2023-07-07 19:58:42,530] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6731668Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6731674Z 2023-07-07T19:59:25.6731872Z [2023-07-07 19:58:42,530] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6732079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6732087Z 2023-07-07T19:59:25.6732270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6732539Z - self: 2023-07-07T19:59:25.6732785Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6732900Z - aten_name: 2023-07-07T19:59:25.6733037Z - function_overloads: 2023-07-07T19:59:25.6733140Z - onnx_args: 2023-07-07T19:59:25.6733285Z - onnx_kwargs: 2023-07-07T19:59:25.6733596Z - diagnostic_context: 2023-07-07T19:59:25.6733809Z - Return value: 2023-07-07T19:59:25.6734127Z [2023-07-07 19:58:42,610] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6734315Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6734320Z 2023-07-07T19:59:25.6734517Z [2023-07-07 19:58:42,610] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6734723Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6734730Z 2023-07-07T19:59:25.6734900Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6735170Z - self: 2023-07-07T19:59:25.6735414Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6735528Z - aten_name: 2023-07-07T19:59:25.6735661Z - function_overloads: 2023-07-07T19:59:25.6735779Z - onnx_args: 2023-07-07T19:59:25.6735896Z - onnx_kwargs: 2023-07-07T19:59:25.6736204Z - diagnostic_context: 2023-07-07T19:59:25.6736402Z - Return value: 2023-07-07T19:59:25.6736714Z [2023-07-07 19:58:42,702] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6736902Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6736909Z 2023-07-07T19:59:25.6737107Z [2023-07-07 19:58:42,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6737310Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6737317Z 2023-07-07T19:59:25.6737501Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6737803Z - self: 2023-07-07T19:59:25.6738051Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6738164Z - aten_name: 2023-07-07T19:59:25.6738284Z - function_overloads: 2023-07-07T19:59:25.6738400Z - onnx_args: 2023-07-07T19:59:25.6738518Z - onnx_kwargs: 2023-07-07T19:59:25.6738825Z - diagnostic_context: 2023-07-07T19:59:25.6739039Z - Return value: 2023-07-07T19:59:25.6739354Z [2023-07-07 19:58:42,800] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6739515Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6739524Z 2023-07-07T19:59:25.6739721Z [2023-07-07 19:58:42,800] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6739912Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6739932Z 2023-07-07T19:59:25.6740103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6740372Z - self: 2023-07-07T19:59:25.6740616Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6740730Z - aten_name: 2023-07-07T19:59:25.6740895Z - function_overloads: 2023-07-07T19:59:25.6741013Z - onnx_args: 2023-07-07T19:59:25.6741131Z - onnx_kwargs: 2023-07-07T19:59:25.6741423Z - diagnostic_context: 2023-07-07T19:59:25.6741636Z - Return value: 2023-07-07T19:59:25.6741976Z [2023-07-07 19:58:42,888] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6742135Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6742141Z 2023-07-07T19:59:25.6742335Z [2023-07-07 19:58:42,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6742538Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6742544Z 2023-07-07T19:59:25.6742729Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6742996Z - self: 2023-07-07T19:59:25.6743241Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6743343Z - aten_name: 2023-07-07T19:59:25.6743476Z - function_overloads: 2023-07-07T19:59:25.6743595Z - onnx_args: 2023-07-07T19:59:25.6743713Z - onnx_kwargs: 2023-07-07T19:59:25.6744019Z - diagnostic_context: 2023-07-07T19:59:25.6744233Z - Return value: 2023-07-07T19:59:25.6744570Z [2023-07-07 19:58:42,984] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6744732Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6744739Z 2023-07-07T19:59:25.6744924Z [2023-07-07 19:58:42,984] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6745125Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6745158Z 2023-07-07T19:59:25.6745342Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6745612Z - self: 2023-07-07T19:59:25.6745857Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6745971Z - aten_name: 2023-07-07T19:59:25.6746103Z - function_overloads: 2023-07-07T19:59:25.6746221Z - onnx_args: 2023-07-07T19:59:25.6746325Z - onnx_kwargs: 2023-07-07T19:59:25.6746630Z - diagnostic_context: 2023-07-07T19:59:25.6746844Z - Return value: 2023-07-07T19:59:25.6747156Z [2023-07-07 19:58:43,073] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6747316Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6747324Z 2023-07-07T19:59:25.6747522Z [2023-07-07 19:58:43,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6747727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6747733Z 2023-07-07T19:59:25.6747920Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6748190Z - self: 2023-07-07T19:59:25.6748448Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6748564Z - aten_name: 2023-07-07T19:59:25.6748697Z - function_overloads: 2023-07-07T19:59:25.6748815Z - onnx_args: 2023-07-07T19:59:25.6748933Z - onnx_kwargs: 2023-07-07T19:59:25.6749241Z - diagnostic_context: 2023-07-07T19:59:25.6749482Z - Return value: 2023-07-07T19:59:25.6749793Z [2023-07-07 19:58:43,179] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6749938Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6749958Z 2023-07-07T19:59:25.6750144Z [2023-07-07 19:58:43,179] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6750347Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6750356Z 2023-07-07T19:59:25.6750540Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6750806Z - self: 2023-07-07T19:59:25.6751053Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6751168Z - aten_name: 2023-07-07T19:59:25.6751302Z - function_overloads: 2023-07-07T19:59:25.6751417Z - onnx_args: 2023-07-07T19:59:25.6751522Z - onnx_kwargs: 2023-07-07T19:59:25.6751826Z - diagnostic_context: 2023-07-07T19:59:25.6752125Z - Return value: 2023-07-07T19:59:25.6752437Z [2023-07-07 19:58:43,518] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6752597Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6752603Z 2023-07-07T19:59:25.6752799Z [2023-07-07 19:58:43,518] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6753031Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6753040Z 2023-07-07T19:59:25.6753222Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6753493Z - self: 2023-07-07T19:59:25.6753723Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6753839Z - aten_name: 2023-07-07T19:59:25.6753973Z - function_overloads: 2023-07-07T19:59:25.6754089Z - onnx_args: 2023-07-07T19:59:25.6754209Z - onnx_kwargs: 2023-07-07T19:59:25.6754596Z - diagnostic_context: 2023-07-07T19:59:25.6754813Z - Return value: 2023-07-07T19:59:25.6755109Z [2023-07-07 19:58:43,589] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6755272Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6755278Z 2023-07-07T19:59:25.6755477Z [2023-07-07 19:58:43,589] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6755679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6755688Z 2023-07-07T19:59:25.6755872Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6756172Z - self: 2023-07-07T19:59:25.6756416Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6756530Z - aten_name: 2023-07-07T19:59:25.6756663Z - function_overloads: 2023-07-07T19:59:25.6756769Z - onnx_args: 2023-07-07T19:59:25.6756886Z - onnx_kwargs: 2023-07-07T19:59:25.6757220Z - diagnostic_context: 2023-07-07T19:59:25.6757434Z - Return value: 2023-07-07T19:59:25.6757742Z [2023-07-07 19:58:43,647] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6757902Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6757907Z 2023-07-07T19:59:25.6758103Z [2023-07-07 19:58:43,647] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6758307Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6758313Z 2023-07-07T19:59:25.6758496Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6758753Z - self: 2023-07-07T19:59:25.6759000Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6759113Z - aten_name: 2023-07-07T19:59:25.6759246Z - function_overloads: 2023-07-07T19:59:25.6759361Z - onnx_args: 2023-07-07T19:59:25.6759478Z - onnx_kwargs: 2023-07-07T19:59:25.6759812Z - diagnostic_context: 2023-07-07T19:59:25.6760014Z - Return value: 2023-07-07T19:59:25.6760325Z [2023-07-07 19:58:43,729] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6760485Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6760518Z 2023-07-07T19:59:25.6760718Z [2023-07-07 19:58:43,729] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6760923Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6760928Z 2023-07-07T19:59:25.6761111Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6761377Z - self: 2023-07-07T19:59:25.6761626Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6761741Z - aten_name: 2023-07-07T19:59:25.6761860Z - function_overloads: 2023-07-07T19:59:25.6761981Z - onnx_args: 2023-07-07T19:59:25.6762098Z - onnx_kwargs: 2023-07-07T19:59:25.6762402Z - diagnostic_context: 2023-07-07T19:59:25.6762615Z - Return value: 2023-07-07T19:59:25.6762925Z [2023-07-07 19:58:43,786] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6763086Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6763092Z 2023-07-07T19:59:25.6763288Z [2023-07-07 19:58:43,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6763479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6763499Z 2023-07-07T19:59:25.6763695Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6763964Z - self: 2023-07-07T19:59:25.6764207Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6764323Z - aten_name: 2023-07-07T19:59:25.6764591Z - function_overloads: 2023-07-07T19:59:25.6764763Z - onnx_args: 2023-07-07T19:59:25.6764879Z - onnx_kwargs: 2023-07-07T19:59:25.6765172Z - diagnostic_context: 2023-07-07T19:59:25.6765384Z - Return value: 2023-07-07T19:59:25.6765786Z [2023-07-07 19:58:43,848] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6765946Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6765952Z 2023-07-07T19:59:25.6766157Z [2023-07-07 19:58:43,848] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6766362Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6766370Z 2023-07-07T19:59:25.6766554Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6766825Z - self: 2023-07-07T19:59:25.6767070Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6767184Z - aten_name: 2023-07-07T19:59:25.6767304Z - function_overloads: 2023-07-07T19:59:25.6767464Z - onnx_args: 2023-07-07T19:59:25.6767585Z - onnx_kwargs: 2023-07-07T19:59:25.6767891Z - diagnostic_context: 2023-07-07T19:59:25.6768105Z - Return value: 2023-07-07T19:59:25.6768415Z [2023-07-07 19:58:43,905] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6768610Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6768615Z 2023-07-07T19:59:25.6768815Z [2023-07-07 19:58:43,905] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6769005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6769011Z 2023-07-07T19:59:25.6769195Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6769464Z - self: 2023-07-07T19:59:25.6769708Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6769824Z - aten_name: 2023-07-07T19:59:25.6769959Z - function_overloads: 2023-07-07T19:59:25.6770075Z - onnx_args: 2023-07-07T19:59:25.6770192Z - onnx_kwargs: 2023-07-07T19:59:25.6770484Z - diagnostic_context: 2023-07-07T19:59:25.6770701Z - Return value: 2023-07-07T19:59:25.6771009Z [2023-07-07 19:58:43,965] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6771168Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6771173Z 2023-07-07T19:59:25.6771372Z [2023-07-07 19:58:43,965] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6771575Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6771615Z 2023-07-07T19:59:25.6771801Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6772070Z - self: 2023-07-07T19:59:25.6772314Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6772442Z - aten_name: 2023-07-07T19:59:25.6772574Z - function_overloads: 2023-07-07T19:59:25.6772691Z - onnx_args: 2023-07-07T19:59:25.6772808Z - onnx_kwargs: 2023-07-07T19:59:25.6773112Z - diagnostic_context: 2023-07-07T19:59:25.6773324Z - Return value: 2023-07-07T19:59:25.6773636Z [2023-07-07 19:58:44,025] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6773784Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6773803Z 2023-07-07T19:59:25.6773987Z [2023-07-07 19:58:44,025] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6774189Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6774199Z 2023-07-07T19:59:25.6774383Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6774650Z - self: 2023-07-07T19:59:25.6774892Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6775030Z - aten_name: 2023-07-07T19:59:25.6775163Z - function_overloads: 2023-07-07T19:59:25.6775279Z - onnx_args: 2023-07-07T19:59:25.6775383Z - onnx_kwargs: 2023-07-07T19:59:25.6775688Z - diagnostic_context: 2023-07-07T19:59:25.6775900Z - Return value: 2023-07-07T19:59:25.6776209Z [2023-07-07 19:58:44,085] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6776396Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6776401Z 2023-07-07T19:59:25.6776599Z [2023-07-07 19:58:44,085] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6776799Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6776805Z 2023-07-07T19:59:25.6776989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6777256Z - self: 2023-07-07T19:59:25.6777489Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6777602Z - aten_name: 2023-07-07T19:59:25.6777734Z - function_overloads: 2023-07-07T19:59:25.6777852Z - onnx_args: 2023-07-07T19:59:25.6777970Z - onnx_kwargs: 2023-07-07T19:59:25.6778273Z - diagnostic_context: 2023-07-07T19:59:25.6778488Z - Return value: 2023-07-07T19:59:25.6778785Z [2023-07-07 19:58:44,165] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6778944Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6778950Z 2023-07-07T19:59:25.6779144Z [2023-07-07 19:58:44,165] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6779384Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6779391Z 2023-07-07T19:59:25.6779576Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6779849Z - self: 2023-07-07T19:59:25.6780121Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6780235Z - aten_name: 2023-07-07T19:59:25.6780367Z - function_overloads: 2023-07-07T19:59:25.6780470Z - onnx_args: 2023-07-07T19:59:25.6780587Z - onnx_kwargs: 2023-07-07T19:59:25.6780891Z - diagnostic_context: 2023-07-07T19:59:25.6781103Z - Return value: 2023-07-07T19:59:25.6781413Z [2023-07-07 19:58:44,225] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6781571Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6781577Z 2023-07-07T19:59:25.6781776Z [2023-07-07 19:58:44,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6781978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6781986Z 2023-07-07T19:59:25.6782169Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6782420Z - self: 2023-07-07T19:59:25.6782686Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6782802Z - aten_name: 2023-07-07T19:59:25.6782935Z - function_overloads: 2023-07-07T19:59:25.6783054Z - onnx_args: 2023-07-07T19:59:25.6783173Z - onnx_kwargs: 2023-07-07T19:59:25.6783476Z - diagnostic_context: 2023-07-07T19:59:25.6783688Z - Return value: 2023-07-07T19:59:25.6784012Z [2023-07-07 19:58:44,283] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6784173Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6784179Z 2023-07-07T19:59:25.6784375Z [2023-07-07 19:58:44,283] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6784580Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6784586Z 2023-07-07T19:59:25.6784767Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6785038Z - self: 2023-07-07T19:59:25.6785282Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6785398Z - aten_name: 2023-07-07T19:59:25.6785517Z - function_overloads: 2023-07-07T19:59:25.6785633Z - onnx_args: 2023-07-07T19:59:25.6785752Z - onnx_kwargs: 2023-07-07T19:59:25.6786056Z - diagnostic_context: 2023-07-07T19:59:25.6786267Z - Return value: 2023-07-07T19:59:25.6786582Z [2023-07-07 19:58:44,343] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6786741Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6786747Z 2023-07-07T19:59:25.6786973Z [2023-07-07 19:58:44,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6787181Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6787187Z 2023-07-07T19:59:25.6787359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6787655Z - self: 2023-07-07T19:59:25.6787945Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6788113Z - aten_name: 2023-07-07T19:59:25.6788293Z - function_overloads: 2023-07-07T19:59:25.6788507Z - onnx_args: 2023-07-07T19:59:25.6788739Z - onnx_kwargs: 2023-07-07T19:59:25.6789209Z - diagnostic_context: 2023-07-07T19:59:25.6789413Z - Return value: 2023-07-07T19:59:25.6789728Z [2023-07-07 19:58:44,401] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6789892Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6789901Z 2023-07-07T19:59:25.6790097Z [2023-07-07 19:58:44,401] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6790307Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6790313Z 2023-07-07T19:59:25.6790498Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6790806Z - self: 2023-07-07T19:59:25.6791052Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6791168Z - aten_name: 2023-07-07T19:59:25.6791288Z - function_overloads: 2023-07-07T19:59:25.6791404Z - onnx_args: 2023-07-07T19:59:25.6791520Z - onnx_kwargs: 2023-07-07T19:59:25.6791823Z - diagnostic_context: 2023-07-07T19:59:25.6792069Z - Return value: 2023-07-07T19:59:25.6792385Z [2023-07-07 19:58:44,481] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6792545Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6792550Z 2023-07-07T19:59:25.6792748Z [2023-07-07 19:58:44,481] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6792937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6792956Z 2023-07-07T19:59:25.6793128Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6793395Z - self: 2023-07-07T19:59:25.6793638Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6793751Z - aten_name: 2023-07-07T19:59:25.6793887Z - function_overloads: 2023-07-07T19:59:25.6794003Z - onnx_args: 2023-07-07T19:59:25.6794120Z - onnx_kwargs: 2023-07-07T19:59:25.6794410Z - diagnostic_context: 2023-07-07T19:59:25.6794708Z - Return value: 2023-07-07T19:59:25.6795020Z [2023-07-07 19:58:44,539] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6795215Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6795222Z 2023-07-07T19:59:25.6795419Z [2023-07-07 19:58:44,539] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6795622Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6795630Z 2023-07-07T19:59:25.6795844Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6796111Z - self: 2023-07-07T19:59:25.6796353Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6796455Z - aten_name: 2023-07-07T19:59:25.6796588Z - function_overloads: 2023-07-07T19:59:25.6796704Z - onnx_args: 2023-07-07T19:59:25.6796821Z - onnx_kwargs: 2023-07-07T19:59:25.6797126Z - diagnostic_context: 2023-07-07T19:59:25.6797338Z - Return value: 2023-07-07T19:59:25.6797645Z [2023-07-07 19:58:44,607] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6797805Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6797813Z 2023-07-07T19:59:25.6798001Z [2023-07-07 19:58:44,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6798204Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6798209Z 2023-07-07T19:59:25.6798421Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6798690Z - self: 2023-07-07T19:59:25.6798936Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6799050Z - aten_name: 2023-07-07T19:59:25.6799182Z - function_overloads: 2023-07-07T19:59:25.6799299Z - onnx_args: 2023-07-07T19:59:25.6799435Z - onnx_kwargs: 2023-07-07T19:59:25.6799738Z - diagnostic_context: 2023-07-07T19:59:25.6799950Z - Return value: 2023-07-07T19:59:25.6800262Z [2023-07-07 19:58:44,684] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6800423Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6800429Z 2023-07-07T19:59:25.6800627Z [2023-07-07 19:58:44,684] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6800833Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6800838Z 2023-07-07T19:59:25.6801021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6801294Z - self: 2023-07-07T19:59:25.6801523Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6801640Z - aten_name: 2023-07-07T19:59:25.6801770Z - function_overloads: 2023-07-07T19:59:25.6801887Z - onnx_args: 2023-07-07T19:59:25.6802004Z - onnx_kwargs: 2023-07-07T19:59:25.6802311Z - diagnostic_context: 2023-07-07T19:59:25.6802523Z - Return value: 2023-07-07T19:59:25.6802863Z [2023-07-07 19:58:44,762] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6803009Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6803014Z 2023-07-07T19:59:25.6803213Z [2023-07-07 19:58:44,762] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6803421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6803457Z 2023-07-07T19:59:25.6803643Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6803910Z - self: 2023-07-07T19:59:25.6804155Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6804269Z - aten_name: 2023-07-07T19:59:25.6804508Z - function_overloads: 2023-07-07T19:59:25.6804698Z - onnx_args: 2023-07-07T19:59:25.6804816Z - onnx_kwargs: 2023-07-07T19:59:25.6805123Z - diagnostic_context: 2023-07-07T19:59:25.6805337Z - Return value: 2023-07-07T19:59:25.6805651Z [2023-07-07 19:58:44,840] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6805812Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6805818Z 2023-07-07T19:59:25.6806016Z [2023-07-07 19:58:44,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6806287Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6806294Z 2023-07-07T19:59:25.6806479Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6806737Z - self: 2023-07-07T19:59:25.6806982Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6807096Z - aten_name: 2023-07-07T19:59:25.6807265Z - function_overloads: 2023-07-07T19:59:25.6807383Z - onnx_args: 2023-07-07T19:59:25.6807503Z - onnx_kwargs: 2023-07-07T19:59:25.6807805Z - diagnostic_context: 2023-07-07T19:59:25.6808019Z - Return value: 2023-07-07T19:59:25.6808321Z [2023-07-07 19:58:44,920] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6808480Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6808485Z 2023-07-07T19:59:25.6808685Z [2023-07-07 19:58:44,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6808889Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6808895Z 2023-07-07T19:59:25.6809081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6809352Z - self: 2023-07-07T19:59:25.6809598Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6809711Z - aten_name: 2023-07-07T19:59:25.6809842Z - function_overloads: 2023-07-07T19:59:25.6809946Z - onnx_args: 2023-07-07T19:59:25.6810065Z - onnx_kwargs: 2023-07-07T19:59:25.6810376Z - diagnostic_context: 2023-07-07T19:59:25.6810633Z - Return value: 2023-07-07T19:59:25.6810944Z [2023-07-07 19:58:44,998] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6811104Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6811112Z 2023-07-07T19:59:25.6811312Z [2023-07-07 19:58:44,998] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6811587Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6811593Z 2023-07-07T19:59:25.6811777Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6812037Z - self: 2023-07-07T19:59:25.6812283Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6812395Z - aten_name: 2023-07-07T19:59:25.6812529Z - function_overloads: 2023-07-07T19:59:25.6812646Z - onnx_args: 2023-07-07T19:59:25.6812764Z - onnx_kwargs: 2023-07-07T19:59:25.6813069Z - diagnostic_context: 2023-07-07T19:59:25.6813270Z - Return value: 2023-07-07T19:59:25.6813582Z [2023-07-07 19:58:45,079] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6813738Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6813745Z 2023-07-07T19:59:25.6813968Z [2023-07-07 19:58:45,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6814176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6814181Z 2023-07-07T19:59:25.6814366Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6814634Z - self: 2023-07-07T19:59:25.6814879Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6815026Z - aten_name: 2023-07-07T19:59:25.6815147Z - function_overloads: 2023-07-07T19:59:25.6815263Z - onnx_args: 2023-07-07T19:59:25.6815380Z - onnx_kwargs: 2023-07-07T19:59:25.6815685Z - diagnostic_context: 2023-07-07T19:59:25.6815895Z - Return value: 2023-07-07T19:59:25.6816213Z [2023-07-07 19:58:45,158] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6816376Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6816382Z 2023-07-07T19:59:25.6816578Z [2023-07-07 19:58:45,158] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6816767Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6816788Z 2023-07-07T19:59:25.6816959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6817230Z - self: 2023-07-07T19:59:25.6817475Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6817589Z - aten_name: 2023-07-07T19:59:25.6817725Z - function_overloads: 2023-07-07T19:59:25.6817842Z - onnx_args: 2023-07-07T19:59:25.6817959Z - onnx_kwargs: 2023-07-07T19:59:25.6818279Z - diagnostic_context: 2023-07-07T19:59:25.6818493Z - Return value: 2023-07-07T19:59:25.6818808Z [2023-07-07 19:58:45,238] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6818971Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6819002Z 2023-07-07T19:59:25.6819202Z [2023-07-07 19:58:45,238] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6819407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6819412Z 2023-07-07T19:59:25.6819598Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6819866Z - self: 2023-07-07T19:59:25.6820115Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6820215Z - aten_name: 2023-07-07T19:59:25.6820348Z - function_overloads: 2023-07-07T19:59:25.6820464Z - onnx_args: 2023-07-07T19:59:25.6820583Z - onnx_kwargs: 2023-07-07T19:59:25.6820886Z - diagnostic_context: 2023-07-07T19:59:25.6821100Z - Return value: 2023-07-07T19:59:25.6821413Z [2023-07-07 19:58:45,319] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6821598Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6821605Z 2023-07-07T19:59:25.6821788Z [2023-07-07 19:58:45,319] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6821995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6822001Z 2023-07-07T19:59:25.6822185Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6822451Z - self: 2023-07-07T19:59:25.6822726Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6822842Z - aten_name: 2023-07-07T19:59:25.6822974Z - function_overloads: 2023-07-07T19:59:25.6823090Z - onnx_args: 2023-07-07T19:59:25.6823194Z - onnx_kwargs: 2023-07-07T19:59:25.6823502Z - diagnostic_context: 2023-07-07T19:59:25.6823714Z - Return value: 2023-07-07T19:59:25.6824033Z [2023-07-07 19:58:45,426] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6824193Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6824199Z 2023-07-07T19:59:25.6824398Z [2023-07-07 19:58:45,426] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6824603Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6824611Z 2023-07-07T19:59:25.6824795Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6825060Z - self: 2023-07-07T19:59:25.6825307Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6825406Z - aten_name: 2023-07-07T19:59:25.6825539Z - function_overloads: 2023-07-07T19:59:25.6825658Z - onnx_args: 2023-07-07T19:59:25.6825803Z - onnx_kwargs: 2023-07-07T19:59:25.6826108Z - diagnostic_context: 2023-07-07T19:59:25.6826319Z - Return value: 2023-07-07T19:59:25.6826631Z [2023-07-07 19:58:45,504] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6826803Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6826823Z 2023-07-07T19:59:25.6827008Z [2023-07-07 19:58:45,504] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6827214Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6827220Z 2023-07-07T19:59:25.6827404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6827672Z - self: 2023-07-07T19:59:25.6827914Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6828028Z - aten_name: 2023-07-07T19:59:25.6828164Z - function_overloads: 2023-07-07T19:59:25.6828282Z - onnx_args: 2023-07-07T19:59:25.6828389Z - onnx_kwargs: 2023-07-07T19:59:25.6828697Z - diagnostic_context: 2023-07-07T19:59:25.6828909Z - Return value: 2023-07-07T19:59:25.6829251Z [2023-07-07 19:58:45,585] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6829411Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6829417Z 2023-07-07T19:59:25.6829616Z [2023-07-07 19:58:45,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6829820Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6829825Z 2023-07-07T19:59:25.6830012Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6830310Z - self: 2023-07-07T19:59:25.6830540Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6830654Z - aten_name: 2023-07-07T19:59:25.6830786Z - function_overloads: 2023-07-07T19:59:25.6830903Z - onnx_args: 2023-07-07T19:59:25.6831024Z - onnx_kwargs: 2023-07-07T19:59:25.6831328Z - diagnostic_context: 2023-07-07T19:59:25.6831539Z - Return value: 2023-07-07T19:59:25.6831838Z [2023-07-07 19:58:45,664] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6831996Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6832004Z 2023-07-07T19:59:25.6832206Z [2023-07-07 19:58:45,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6832411Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6832417Z 2023-07-07T19:59:25.6832603Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6832874Z - self: 2023-07-07T19:59:25.6833118Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6833231Z - aten_name: 2023-07-07T19:59:25.6833405Z - function_overloads: 2023-07-07T19:59:25.6833509Z - onnx_args: 2023-07-07T19:59:25.6833629Z - onnx_kwargs: 2023-07-07T19:59:25.6833931Z - diagnostic_context: 2023-07-07T19:59:25.6834145Z - Return value: 2023-07-07T19:59:25.6834555Z [2023-07-07 19:58:45,743] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6834717Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6834723Z 2023-07-07T19:59:25.6834925Z [2023-07-07 19:58:45,743] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6835129Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6835135Z 2023-07-07T19:59:25.6835319Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6835573Z - self: 2023-07-07T19:59:25.6835818Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6835935Z - aten_name: 2023-07-07T19:59:25.6836068Z - function_overloads: 2023-07-07T19:59:25.6836184Z - onnx_args: 2023-07-07T19:59:25.6836300Z - onnx_kwargs: 2023-07-07T19:59:25.6836605Z - diagnostic_context: 2023-07-07T19:59:25.6836803Z - Return value: 2023-07-07T19:59:25.6837147Z [2023-07-07 19:58:45,822] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6837307Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6837315Z 2023-07-07T19:59:25.6837514Z [2023-07-07 19:58:45,822] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6837715Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6837755Z 2023-07-07T19:59:25.6837941Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6838210Z - self: 2023-07-07T19:59:25.6838453Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6838566Z - aten_name: 2023-07-07T19:59:25.6838688Z - function_overloads: 2023-07-07T19:59:25.6838804Z - onnx_args: 2023-07-07T19:59:25.6838921Z - onnx_kwargs: 2023-07-07T19:59:25.6839226Z - diagnostic_context: 2023-07-07T19:59:25.6839437Z - Return value: 2023-07-07T19:59:25.6839748Z [2023-07-07 19:58:45,902] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6839911Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6839919Z 2023-07-07T19:59:25.6840117Z [2023-07-07 19:58:45,902] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6840319Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6840324Z 2023-07-07T19:59:25.6840495Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6840762Z - self: 2023-07-07T19:59:25.6841032Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6841148Z - aten_name: 2023-07-07T19:59:25.6841282Z - function_overloads: 2023-07-07T19:59:25.6841397Z - onnx_args: 2023-07-07T19:59:25.6841515Z - onnx_kwargs: 2023-07-07T19:59:25.6841820Z - diagnostic_context: 2023-07-07T19:59:25.6842049Z - Return value: 2023-07-07T19:59:25.6842361Z [2023-07-07 19:58:45,986] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6842519Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6842526Z 2023-07-07T19:59:25.6842725Z [2023-07-07 19:58:45,986] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6842930Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6842936Z 2023-07-07T19:59:25.6843119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6843385Z - self: 2023-07-07T19:59:25.6843630Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6843746Z - aten_name: 2023-07-07T19:59:25.6843864Z - function_overloads: 2023-07-07T19:59:25.6843980Z - onnx_args: 2023-07-07T19:59:25.6844097Z - onnx_kwargs: 2023-07-07T19:59:25.6844518Z - diagnostic_context: 2023-07-07T19:59:25.6844799Z - Return value: 2023-07-07T19:59:25.6845112Z [2023-07-07 19:58:46,066] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6845270Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6845276Z 2023-07-07T19:59:25.6845473Z [2023-07-07 19:58:46,066] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6845695Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6845703Z 2023-07-07T19:59:25.6845887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6846156Z - self: 2023-07-07T19:59:25.6846403Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6846517Z - aten_name: 2023-07-07T19:59:25.6846650Z - function_overloads: 2023-07-07T19:59:25.6846766Z - onnx_args: 2023-07-07T19:59:25.6846887Z - onnx_kwargs: 2023-07-07T19:59:25.6847178Z - diagnostic_context: 2023-07-07T19:59:25.6847388Z - Return value: 2023-07-07T19:59:25.6847701Z [2023-07-07 19:58:46,145] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6847861Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6847866Z 2023-07-07T19:59:25.6848064Z [2023-07-07 19:58:46,145] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6848269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6848275Z 2023-07-07T19:59:25.6848462Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6848767Z - self: 2023-07-07T19:59:25.6849015Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6849115Z - aten_name: 2023-07-07T19:59:25.6849248Z - function_overloads: 2023-07-07T19:59:25.6849368Z - onnx_args: 2023-07-07T19:59:25.6849485Z - onnx_kwargs: 2023-07-07T19:59:25.6849822Z - diagnostic_context: 2023-07-07T19:59:25.6850033Z - Return value: 2023-07-07T19:59:25.6850341Z [2023-07-07 19:58:46,226] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6850502Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6850508Z 2023-07-07T19:59:25.6850691Z [2023-07-07 19:58:46,226] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6850897Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6850903Z 2023-07-07T19:59:25.6851088Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6851358Z - self: 2023-07-07T19:59:25.6851603Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6851716Z - aten_name: 2023-07-07T19:59:25.6851848Z - function_overloads: 2023-07-07T19:59:25.6851964Z - onnx_args: 2023-07-07T19:59:25.6852068Z - onnx_kwargs: 2023-07-07T19:59:25.6852399Z - diagnostic_context: 2023-07-07T19:59:25.6852612Z - Return value: 2023-07-07T19:59:25.6852922Z [2023-07-07 19:58:46,306] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6853080Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6853116Z 2023-07-07T19:59:25.6853315Z [2023-07-07 19:58:46,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6853521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6853527Z 2023-07-07T19:59:25.6853713Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6853983Z - self: 2023-07-07T19:59:25.6854214Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6854328Z - aten_name: 2023-07-07T19:59:25.6854463Z - function_overloads: 2023-07-07T19:59:25.6854580Z - onnx_args: 2023-07-07T19:59:25.6854697Z - onnx_kwargs: 2023-07-07T19:59:25.6855002Z - diagnostic_context: 2023-07-07T19:59:25.6855217Z - Return value: 2023-07-07T19:59:25.6855523Z [2023-07-07 19:58:46,412] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6855671Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6855676Z 2023-07-07T19:59:25.6855902Z [2023-07-07 19:58:46,412] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6856107Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6856112Z 2023-07-07T19:59:25.6856322Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6856591Z - self: 2023-07-07T19:59:25.6856835Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6856951Z - aten_name: 2023-07-07T19:59:25.6857082Z - function_overloads: 2023-07-07T19:59:25.6857218Z - onnx_args: 2023-07-07T19:59:25.6857334Z - onnx_kwargs: 2023-07-07T19:59:25.6857636Z - diagnostic_context: 2023-07-07T19:59:25.6857848Z - Return value: 2023-07-07T19:59:25.6858163Z [2023-07-07 19:58:46,489] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6858320Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6858329Z 2023-07-07T19:59:25.6858526Z [2023-07-07 19:58:46,489] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6858729Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6858737Z 2023-07-07T19:59:25.6858921Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6859176Z - self: 2023-07-07T19:59:25.6859420Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6859534Z - aten_name: 2023-07-07T19:59:25.6859666Z - function_overloads: 2023-07-07T19:59:25.6859817Z - onnx_args: 2023-07-07T19:59:25.6859937Z - onnx_kwargs: 2023-07-07T19:59:25.6860241Z - diagnostic_context: 2023-07-07T19:59:25.6860454Z - Return value: 2023-07-07T19:59:25.6860754Z [2023-07-07 19:58:46,569] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6860943Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6860951Z 2023-07-07T19:59:25.6861148Z [2023-07-07 19:58:46,569] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6861350Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6861356Z 2023-07-07T19:59:25.6861541Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6861808Z - self: 2023-07-07T19:59:25.6862053Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6862166Z - aten_name: 2023-07-07T19:59:25.6862298Z - function_overloads: 2023-07-07T19:59:25.6862400Z - onnx_args: 2023-07-07T19:59:25.6862516Z - onnx_kwargs: 2023-07-07T19:59:25.6862823Z - diagnostic_context: 2023-07-07T19:59:25.6863035Z - Return value: 2023-07-07T19:59:25.6863347Z [2023-07-07 19:58:46,650] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6863506Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6863512Z 2023-07-07T19:59:25.6863710Z [2023-07-07 19:58:46,650] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6863912Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6863946Z 2023-07-07T19:59:25.6864119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6864386Z - self: 2023-07-07T19:59:25.6864631Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6864777Z - aten_name: 2023-07-07T19:59:25.6864910Z - function_overloads: 2023-07-07T19:59:25.6865026Z - onnx_args: 2023-07-07T19:59:25.6865143Z - onnx_kwargs: 2023-07-07T19:59:25.6865446Z - diagnostic_context: 2023-07-07T19:59:25.6865649Z - Return value: 2023-07-07T19:59:25.6865965Z [2023-07-07 19:58:46,731] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6866126Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6866132Z 2023-07-07T19:59:25.6866328Z [2023-07-07 19:58:46,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6866534Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6866544Z 2023-07-07T19:59:25.6866726Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6866994Z - self: 2023-07-07T19:59:25.6867235Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6867377Z - aten_name: 2023-07-07T19:59:25.6867497Z - function_overloads: 2023-07-07T19:59:25.6867612Z - onnx_args: 2023-07-07T19:59:25.6867731Z - onnx_kwargs: 2023-07-07T19:59:25.6868037Z - diagnostic_context: 2023-07-07T19:59:25.6868249Z - Return value: 2023-07-07T19:59:25.6868560Z [2023-07-07 19:58:46,809] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6868749Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6868755Z 2023-07-07T19:59:25.6868953Z [2023-07-07 19:58:46,809] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6869141Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6869161Z 2023-07-07T19:59:25.6869332Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6869600Z - self: 2023-07-07T19:59:25.6869844Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6869958Z - aten_name: 2023-07-07T19:59:25.6870090Z - function_overloads: 2023-07-07T19:59:25.6870209Z - onnx_args: 2023-07-07T19:59:25.6870327Z - onnx_kwargs: 2023-07-07T19:59:25.6870620Z - diagnostic_context: 2023-07-07T19:59:25.6870831Z - Return value: 2023-07-07T19:59:25.6871144Z [2023-07-07 19:58:46,890] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6871304Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6871310Z 2023-07-07T19:59:25.6871507Z [2023-07-07 19:58:46,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6871762Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6871769Z 2023-07-07T19:59:25.6871954Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6872224Z - self: 2023-07-07T19:59:25.6872493Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6872593Z - aten_name: 2023-07-07T19:59:25.6872728Z - function_overloads: 2023-07-07T19:59:25.6872844Z - onnx_args: 2023-07-07T19:59:25.6872963Z - onnx_kwargs: 2023-07-07T19:59:25.6873266Z - diagnostic_context: 2023-07-07T19:59:25.6873478Z - Return value: 2023-07-07T19:59:25.6873791Z [2023-07-07 19:58:46,968] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6873951Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6873957Z 2023-07-07T19:59:25.6874142Z [2023-07-07 19:58:46,969] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6874346Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6874351Z 2023-07-07T19:59:25.6874617Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6874898Z - self: 2023-07-07T19:59:25.6875175Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6875291Z - aten_name: 2023-07-07T19:59:25.6875423Z - function_overloads: 2023-07-07T19:59:25.6875544Z - onnx_args: 2023-07-07T19:59:25.6875648Z - onnx_kwargs: 2023-07-07T19:59:25.6875950Z - diagnostic_context: 2023-07-07T19:59:25.6876190Z - Return value: 2023-07-07T19:59:25.6876499Z [2023-07-07 19:58:47,049] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6876661Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6876666Z 2023-07-07T19:59:25.6876863Z [2023-07-07 19:58:47,049] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6877070Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6877077Z 2023-07-07T19:59:25.6877261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6877531Z - self: 2023-07-07T19:59:25.6877760Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6877876Z - aten_name: 2023-07-07T19:59:25.6878009Z - function_overloads: 2023-07-07T19:59:25.6878129Z - onnx_args: 2023-07-07T19:59:25.6878247Z - onnx_kwargs: 2023-07-07T19:59:25.6878553Z - diagnostic_context: 2023-07-07T19:59:25.6878765Z - Return value: 2023-07-07T19:59:25.6879077Z [2023-07-07 19:58:47,126] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6879220Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6879226Z 2023-07-07T19:59:25.6879452Z [2023-07-07 19:58:47,126] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6879659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6879668Z 2023-07-07T19:59:25.6879851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6880151Z - self: 2023-07-07T19:59:25.6880395Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6880510Z - aten_name: 2023-07-07T19:59:25.6880644Z - function_overloads: 2023-07-07T19:59:25.6880761Z - onnx_args: 2023-07-07T19:59:25.6880865Z - onnx_kwargs: 2023-07-07T19:59:25.6881170Z - diagnostic_context: 2023-07-07T19:59:25.6881385Z - Return value: 2023-07-07T19:59:25.6881694Z [2023-07-07 19:58:47,206] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6881856Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6881862Z 2023-07-07T19:59:25.6882062Z [2023-07-07 19:58:47,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6882266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6882271Z 2023-07-07T19:59:25.6882453Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6882753Z - self: 2023-07-07T19:59:25.6882985Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6883103Z - aten_name: 2023-07-07T19:59:25.6883238Z - function_overloads: 2023-07-07T19:59:25.6883354Z - onnx_args: 2023-07-07T19:59:25.6883472Z - onnx_kwargs: 2023-07-07T19:59:25.6883807Z - diagnostic_context: 2023-07-07T19:59:25.6884021Z - Return value: 2023-07-07T19:59:25.6884317Z [2023-07-07 19:58:47,285] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6884652Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6884663Z 2023-07-07T19:59:25.6884906Z [2023-07-07 19:58:47,285] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6885111Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6885120Z 2023-07-07T19:59:25.6885304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6885574Z - self: 2023-07-07T19:59:25.6885821Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6885939Z - aten_name: 2023-07-07T19:59:25.6886072Z - function_overloads: 2023-07-07T19:59:25.6886174Z - onnx_args: 2023-07-07T19:59:25.6886292Z - onnx_kwargs: 2023-07-07T19:59:25.6886595Z - diagnostic_context: 2023-07-07T19:59:25.6886810Z - Return value: 2023-07-07T19:59:25.6887124Z [2023-07-07 19:58:47,392] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6887355Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6887361Z 2023-07-07T19:59:25.6887561Z [2023-07-07 19:58:47,392] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6887765Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6887808Z 2023-07-07T19:59:25.6887993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6888249Z - self: 2023-07-07T19:59:25.6888493Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6888609Z - aten_name: 2023-07-07T19:59:25.6888744Z - function_overloads: 2023-07-07T19:59:25.6888860Z - onnx_args: 2023-07-07T19:59:25.6888978Z - onnx_kwargs: 2023-07-07T19:59:25.6889285Z - diagnostic_context: 2023-07-07T19:59:25.6889483Z - Return value: 2023-07-07T19:59:25.6889794Z [2023-07-07 19:58:47,467] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6889959Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6889964Z 2023-07-07T19:59:25.6890162Z [2023-07-07 19:58:47,467] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6890365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6890371Z 2023-07-07T19:59:25.6890591Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6890862Z - self: 2023-07-07T19:59:25.6891109Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6891222Z - aten_name: 2023-07-07T19:59:25.6891340Z - function_overloads: 2023-07-07T19:59:25.6891494Z - onnx_args: 2023-07-07T19:59:25.6891613Z - onnx_kwargs: 2023-07-07T19:59:25.6891915Z - diagnostic_context: 2023-07-07T19:59:25.6892128Z - Return value: 2023-07-07T19:59:25.6892437Z [2023-07-07 19:58:47,547] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6892596Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6892601Z 2023-07-07T19:59:25.6892799Z [2023-07-07 19:58:47,547] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6892990Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6893008Z 2023-07-07T19:59:25.6893180Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6893449Z - self: 2023-07-07T19:59:25.6893697Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6893811Z - aten_name: 2023-07-07T19:59:25.6893943Z - function_overloads: 2023-07-07T19:59:25.6894059Z - onnx_args: 2023-07-07T19:59:25.6894176Z - onnx_kwargs: 2023-07-07T19:59:25.6894469Z - diagnostic_context: 2023-07-07T19:59:25.6894680Z - Return value: 2023-07-07T19:59:25.6895024Z [2023-07-07 19:58:47,626] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6895184Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6895189Z 2023-07-07T19:59:25.6895391Z [2023-07-07 19:58:47,626] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6895592Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6895625Z 2023-07-07T19:59:25.6895808Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6896076Z - self: 2023-07-07T19:59:25.6896321Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6896422Z - aten_name: 2023-07-07T19:59:25.6896554Z - function_overloads: 2023-07-07T19:59:25.6896671Z - onnx_args: 2023-07-07T19:59:25.6896789Z - onnx_kwargs: 2023-07-07T19:59:25.6897093Z - diagnostic_context: 2023-07-07T19:59:25.6897305Z - Return value: 2023-07-07T19:59:25.6897615Z [2023-07-07 19:58:47,704] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6897769Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6897775Z 2023-07-07T19:59:25.6897974Z [2023-07-07 19:58:47,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6898204Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6898210Z 2023-07-07T19:59:25.6898392Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6898660Z - self: 2023-07-07T19:59:25.6898890Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6899031Z - aten_name: 2023-07-07T19:59:25.6899164Z - function_overloads: 2023-07-07T19:59:25.6899279Z - onnx_args: 2023-07-07T19:59:25.6899397Z - onnx_kwargs: 2023-07-07T19:59:25.6899703Z - diagnostic_context: 2023-07-07T19:59:25.6899913Z - Return value: 2023-07-07T19:59:25.6900227Z [2023-07-07 19:58:47,791] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6900373Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6900379Z 2023-07-07T19:59:25.6900578Z [2023-07-07 19:58:47,791] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6900780Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6900786Z 2023-07-07T19:59:25.6900970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6901238Z - self: 2023-07-07T19:59:25.6901482Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6901595Z - aten_name: 2023-07-07T19:59:25.6901728Z - function_overloads: 2023-07-07T19:59:25.6901845Z - onnx_args: 2023-07-07T19:59:25.6901949Z - onnx_kwargs: 2023-07-07T19:59:25.6902253Z - diagnostic_context: 2023-07-07T19:59:25.6902489Z - Return value: 2023-07-07T19:59:25.6902803Z [2023-07-07 19:58:47,868] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6902962Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6902970Z 2023-07-07T19:59:25.6903166Z [2023-07-07 19:58:47,868] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6903394Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6903400Z 2023-07-07T19:59:25.6903582Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6903839Z - self: 2023-07-07T19:59:25.6904084Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6904198Z - aten_name: 2023-07-07T19:59:25.6904333Z - function_overloads: 2023-07-07T19:59:25.6904450Z - onnx_args: 2023-07-07T19:59:25.6904568Z - onnx_kwargs: 2023-07-07T19:59:25.6904873Z - diagnostic_context: 2023-07-07T19:59:25.6905087Z - Return value: 2023-07-07T19:59:25.6905386Z [2023-07-07 19:58:47,946] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6905544Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6905549Z 2023-07-07T19:59:25.6905770Z [2023-07-07 19:58:47,946] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6905976Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6905981Z 2023-07-07T19:59:25.6906168Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6906436Z - self: 2023-07-07T19:59:25.6906710Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6906823Z - aten_name: 2023-07-07T19:59:25.6906958Z - function_overloads: 2023-07-07T19:59:25.6907062Z - onnx_args: 2023-07-07T19:59:25.6907179Z - onnx_kwargs: 2023-07-07T19:59:25.6907484Z - diagnostic_context: 2023-07-07T19:59:25.6907699Z - Return value: 2023-07-07T19:59:25.6908011Z [2023-07-07 19:58:48,028] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6908174Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6908179Z 2023-07-07T19:59:25.6908378Z [2023-07-07 19:58:48,028] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6908579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6908588Z 2023-07-07T19:59:25.6908770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6909024Z - self: 2023-07-07T19:59:25.6909266Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6909381Z - aten_name: 2023-07-07T19:59:25.6909511Z - function_overloads: 2023-07-07T19:59:25.6909626Z - onnx_args: 2023-07-07T19:59:25.6909741Z - onnx_kwargs: 2023-07-07T19:59:25.6910068Z - diagnostic_context: 2023-07-07T19:59:25.6910267Z - Return value: 2023-07-07T19:59:25.6910580Z [2023-07-07 19:58:48,108] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6910739Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6910772Z 2023-07-07T19:59:25.6910968Z [2023-07-07 19:58:48,108] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6911168Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6911174Z 2023-07-07T19:59:25.6911359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6911625Z - self: 2023-07-07T19:59:25.6911869Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6911981Z - aten_name: 2023-07-07T19:59:25.6912100Z - function_overloads: 2023-07-07T19:59:25.6912215Z - onnx_args: 2023-07-07T19:59:25.6912333Z - onnx_kwargs: 2023-07-07T19:59:25.6912636Z - diagnostic_context: 2023-07-07T19:59:25.6912848Z - Return value: 2023-07-07T19:59:25.6913159Z [2023-07-07 19:58:48,190] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6913351Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6913357Z 2023-07-07T19:59:25.6913555Z [2023-07-07 19:58:48,190] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6913745Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6913764Z 2023-07-07T19:59:25.6913933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6914231Z - self: 2023-07-07T19:59:25.6914549Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6914674Z - aten_name: 2023-07-07T19:59:25.6914805Z - function_overloads: 2023-07-07T19:59:25.6914922Z - onnx_args: 2023-07-07T19:59:25.6915038Z - onnx_kwargs: 2023-07-07T19:59:25.6915330Z - diagnostic_context: 2023-07-07T19:59:25.6915542Z - Return value: 2023-07-07T19:59:25.6915852Z [2023-07-07 19:58:48,278] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6916009Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6916015Z 2023-07-07T19:59:25.6916209Z [2023-07-07 19:58:48,278] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6916412Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6916420Z 2023-07-07T19:59:25.6916604Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6916873Z - self: 2023-07-07T19:59:25.6917117Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6917218Z - aten_name: 2023-07-07T19:59:25.6917349Z - function_overloads: 2023-07-07T19:59:25.6917465Z - onnx_args: 2023-07-07T19:59:25.6917617Z - onnx_kwargs: 2023-07-07T19:59:25.6917922Z - diagnostic_context: 2023-07-07T19:59:25.6918133Z - Return value: 2023-07-07T19:59:25.6918447Z [2023-07-07 19:58:48,385] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6918636Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6918641Z 2023-07-07T19:59:25.6918825Z [2023-07-07 19:58:48,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6919030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6919036Z 2023-07-07T19:59:25.6919216Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6919484Z - self: 2023-07-07T19:59:25.6919723Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6919835Z - aten_name: 2023-07-07T19:59:25.6919968Z - function_overloads: 2023-07-07T19:59:25.6920081Z - onnx_args: 2023-07-07T19:59:25.6920188Z - onnx_kwargs: 2023-07-07T19:59:25.6920490Z - diagnostic_context: 2023-07-07T19:59:25.6920700Z - Return value: 2023-07-07T19:59:25.6921035Z [2023-07-07 19:58:48,484] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6921195Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6921201Z 2023-07-07T19:59:25.6921399Z [2023-07-07 19:58:48,484] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6921600Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6921607Z 2023-07-07T19:59:25.6921822Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6922091Z - self: 2023-07-07T19:59:25.6922333Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6922435Z - aten_name: 2023-07-07T19:59:25.6922565Z - function_overloads: 2023-07-07T19:59:25.6922679Z - onnx_args: 2023-07-07T19:59:25.6922799Z - onnx_kwargs: 2023-07-07T19:59:25.6923101Z - diagnostic_context: 2023-07-07T19:59:25.6923312Z - Return value: 2023-07-07T19:59:25.6923622Z [2023-07-07 19:58:48,557] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6923768Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6923789Z 2023-07-07T19:59:25.6923975Z [2023-07-07 19:58:48,557] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6924176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6924182Z 2023-07-07T19:59:25.6924362Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6924799Z - self: 2023-07-07T19:59:25.6925044Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6925158Z - aten_name: 2023-07-07T19:59:25.6925340Z - function_overloads: 2023-07-07T19:59:25.6925457Z - onnx_args: 2023-07-07T19:59:25.6925561Z - onnx_kwargs: 2023-07-07T19:59:25.6925867Z - diagnostic_context: 2023-07-07T19:59:25.6926083Z - Return value: 2023-07-07T19:59:25.6926428Z [2023-07-07 19:58:48,615] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6926586Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6926593Z 2023-07-07T19:59:25.6926793Z [2023-07-07 19:58:48,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6926996Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6927002Z 2023-07-07T19:59:25.6927186Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6927454Z - self: 2023-07-07T19:59:25.6927688Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6927803Z - aten_name: 2023-07-07T19:59:25.6927939Z - function_overloads: 2023-07-07T19:59:25.6928055Z - onnx_args: 2023-07-07T19:59:25.6928171Z - onnx_kwargs: 2023-07-07T19:59:25.6928473Z - diagnostic_context: 2023-07-07T19:59:25.6928683Z - Return value: 2023-07-07T19:59:25.6929012Z [2023-07-07 19:58:48,674] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6929174Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6929179Z 2023-07-07T19:59:25.6929379Z [2023-07-07 19:58:48,674] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6929580Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6929647Z 2023-07-07T19:59:25.6929831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6930098Z - self: 2023-07-07T19:59:25.6930339Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6930453Z - aten_name: 2023-07-07T19:59:25.6930586Z - function_overloads: 2023-07-07T19:59:25.6930690Z - onnx_args: 2023-07-07T19:59:25.6930805Z - onnx_kwargs: 2023-07-07T19:59:25.6931110Z - diagnostic_context: 2023-07-07T19:59:25.6931321Z - Return value: 2023-07-07T19:59:25.6931631Z [2023-07-07 19:58:48,753] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6931792Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6931800Z 2023-07-07T19:59:25.6931996Z [2023-07-07 19:58:48,753] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6932196Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6932202Z 2023-07-07T19:59:25.6932386Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6932642Z - self: 2023-07-07T19:59:25.6932916Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6933031Z - aten_name: 2023-07-07T19:59:25.6933162Z - function_overloads: 2023-07-07T19:59:25.6933276Z - onnx_args: 2023-07-07T19:59:25.6933397Z - onnx_kwargs: 2023-07-07T19:59:25.6933701Z - diagnostic_context: 2023-07-07T19:59:25.6933928Z - Return value: 2023-07-07T19:59:25.6934243Z [2023-07-07 19:58:48,855] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6934403Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6934409Z 2023-07-07T19:59:25.6934606Z [2023-07-07 19:58:48,855] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6934809Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6934815Z 2023-07-07T19:59:25.6934995Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6935263Z - self: 2023-07-07T19:59:25.6935509Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6935623Z - aten_name: 2023-07-07T19:59:25.6935743Z - function_overloads: 2023-07-07T19:59:25.6935858Z - onnx_args: 2023-07-07T19:59:25.6935975Z - onnx_kwargs: 2023-07-07T19:59:25.6936303Z - diagnostic_context: 2023-07-07T19:59:25.6936515Z - Return value: 2023-07-07T19:59:25.6936825Z [2023-07-07 19:58:48,942] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6936984Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6936990Z 2023-07-07T19:59:25.6937184Z [2023-07-07 19:58:48,942] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6937414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6937422Z 2023-07-07T19:59:25.6937592Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6937857Z - self: 2023-07-07T19:59:25.6938102Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6938214Z - aten_name: 2023-07-07T19:59:25.6938347Z - function_overloads: 2023-07-07T19:59:25.6938462Z - onnx_args: 2023-07-07T19:59:25.6938579Z - onnx_kwargs: 2023-07-07T19:59:25.6938882Z - diagnostic_context: 2023-07-07T19:59:25.6939080Z - Return value: 2023-07-07T19:59:25.6939394Z [2023-07-07 19:58:49,028] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6939553Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6939559Z 2023-07-07T19:59:25.6939755Z [2023-07-07 19:58:49,029] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6939959Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6939965Z 2023-07-07T19:59:25.6940148Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6940455Z - self: 2023-07-07T19:59:25.6940699Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6940811Z - aten_name: 2023-07-07T19:59:25.6940933Z - function_overloads: 2023-07-07T19:59:25.6941046Z - onnx_args: 2023-07-07T19:59:25.6941189Z - onnx_kwargs: 2023-07-07T19:59:25.6941491Z - diagnostic_context: 2023-07-07T19:59:25.6941703Z - Return value: 2023-07-07T19:59:25.6942014Z [2023-07-07 19:58:49,102] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6942172Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6942178Z 2023-07-07T19:59:25.6942376Z [2023-07-07 19:58:49,102] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6942566Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6942572Z 2023-07-07T19:59:25.6942754Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6943022Z - self: 2023-07-07T19:59:25.6943266Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6943379Z - aten_name: 2023-07-07T19:59:25.6943508Z - function_overloads: 2023-07-07T19:59:25.6943624Z - onnx_args: 2023-07-07T19:59:25.6943766Z - onnx_kwargs: 2023-07-07T19:59:25.6944055Z - diagnostic_context: 2023-07-07T19:59:25.6944265Z - Return value: 2023-07-07T19:59:25.6944577Z [2023-07-07 19:58:49,195] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6944735Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6944767Z 2023-07-07T19:59:25.6944964Z [2023-07-07 19:58:49,196] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6945165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6945171Z 2023-07-07T19:59:25.6945354Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6945623Z - self: 2023-07-07T19:59:25.6945866Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6945966Z - aten_name: 2023-07-07T19:59:25.6946100Z - function_overloads: 2023-07-07T19:59:25.6946215Z - onnx_args: 2023-07-07T19:59:25.6946332Z - onnx_kwargs: 2023-07-07T19:59:25.6946632Z - diagnostic_context: 2023-07-07T19:59:25.6946842Z - Return value: 2023-07-07T19:59:25.6947154Z [2023-07-07 19:58:49,279] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6947311Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6947317Z 2023-07-07T19:59:25.6947501Z [2023-07-07 19:58:49,279] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6947705Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6947710Z 2023-07-07T19:59:25.6947919Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6948190Z - self: 2023-07-07T19:59:25.6948431Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6948546Z - aten_name: 2023-07-07T19:59:25.6948705Z - function_overloads: 2023-07-07T19:59:25.6948820Z - onnx_args: 2023-07-07T19:59:25.6948924Z - onnx_kwargs: 2023-07-07T19:59:25.6949226Z - diagnostic_context: 2023-07-07T19:59:25.6949436Z - Return value: 2023-07-07T19:59:25.6949747Z [2023-07-07 19:58:49,390] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6949906Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6949913Z 2023-07-07T19:59:25.6950109Z [2023-07-07 19:58:49,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6950312Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6950320Z 2023-07-07T19:59:25.6950502Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6950769Z - self: 2023-07-07T19:59:25.6950999Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6951114Z - aten_name: 2023-07-07T19:59:25.6951273Z - function_overloads: 2023-07-07T19:59:25.6951391Z - onnx_args: 2023-07-07T19:59:25.6951509Z - onnx_kwargs: 2023-07-07T19:59:25.6951818Z - diagnostic_context: 2023-07-07T19:59:25.6952028Z - Return value: 2023-07-07T19:59:25.6952338Z [2023-07-07 19:58:49,461] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6952512Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6952519Z 2023-07-07T19:59:25.6952717Z [2023-07-07 19:58:49,461] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6952918Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6952924Z 2023-07-07T19:59:25.6953109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6953377Z - self: 2023-07-07T19:59:25.6953622Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6953737Z - aten_name: 2023-07-07T19:59:25.6953868Z - function_overloads: 2023-07-07T19:59:25.6953971Z - onnx_args: 2023-07-07T19:59:25.6954090Z - onnx_kwargs: 2023-07-07T19:59:25.6954397Z - diagnostic_context: 2023-07-07T19:59:25.6954706Z - Return value: 2023-07-07T19:59:25.6955024Z [2023-07-07 19:58:49,536] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6955182Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6955191Z 2023-07-07T19:59:25.6955388Z [2023-07-07 19:58:49,536] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6955629Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6955636Z 2023-07-07T19:59:25.6955823Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6956078Z - self: 2023-07-07T19:59:25.6956324Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6956467Z - aten_name: 2023-07-07T19:59:25.6956600Z - function_overloads: 2023-07-07T19:59:25.6956717Z - onnx_args: 2023-07-07T19:59:25.6956835Z - onnx_kwargs: 2023-07-07T19:59:25.6957141Z - diagnostic_context: 2023-07-07T19:59:25.6957355Z - Return value: 2023-07-07T19:59:25.6957654Z [2023-07-07 19:58:49,595] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6957814Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6957820Z 2023-07-07T19:59:25.6958016Z [2023-07-07 19:58:49,595] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6958223Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6958231Z 2023-07-07T19:59:25.6958413Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6958679Z - self: 2023-07-07T19:59:25.6958953Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6959069Z - aten_name: 2023-07-07T19:59:25.6959202Z - function_overloads: 2023-07-07T19:59:25.6959305Z - onnx_args: 2023-07-07T19:59:25.6959424Z - onnx_kwargs: 2023-07-07T19:59:25.6959730Z - diagnostic_context: 2023-07-07T19:59:25.6959941Z - Return value: 2023-07-07T19:59:25.6960280Z [2023-07-07 19:58:49,651] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6960440Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6960446Z 2023-07-07T19:59:25.6960641Z [2023-07-07 19:58:49,651] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6960845Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6960851Z 2023-07-07T19:59:25.6961020Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6961288Z - self: 2023-07-07T19:59:25.6961529Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6961645Z - aten_name: 2023-07-07T19:59:25.6961776Z - function_overloads: 2023-07-07T19:59:25.6961894Z - onnx_args: 2023-07-07T19:59:25.6962012Z - onnx_kwargs: 2023-07-07T19:59:25.6962316Z - diagnostic_context: 2023-07-07T19:59:25.6962514Z - Return value: 2023-07-07T19:59:25.6962825Z [2023-07-07 19:58:49,704] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6962983Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6962989Z 2023-07-07T19:59:25.6963186Z [2023-07-07 19:58:49,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6963420Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6963426Z 2023-07-07T19:59:25.6963610Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6963878Z - self: 2023-07-07T19:59:25.6964152Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6964266Z - aten_name: 2023-07-07T19:59:25.6964497Z - function_overloads: 2023-07-07T19:59:25.6964681Z - onnx_args: 2023-07-07T19:59:25.6964802Z - onnx_kwargs: 2023-07-07T19:59:25.6965111Z - diagnostic_context: 2023-07-07T19:59:25.6965323Z - Return value: 2023-07-07T19:59:25.6965637Z [2023-07-07 19:58:49,759] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6965797Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6965806Z 2023-07-07T19:59:25.6966002Z [2023-07-07 19:58:49,759] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6966192Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6966212Z 2023-07-07T19:59:25.6966382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6966708Z - self: 2023-07-07T19:59:25.6966956Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6967070Z - aten_name: 2023-07-07T19:59:25.6967204Z - function_overloads: 2023-07-07T19:59:25.6967321Z - onnx_args: 2023-07-07T19:59:25.6967436Z - onnx_kwargs: 2023-07-07T19:59:25.6967732Z - diagnostic_context: 2023-07-07T19:59:25.6967980Z - Return value: 2023-07-07T19:59:25.6968290Z [2023-07-07 19:58:49,813] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6968451Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6968457Z 2023-07-07T19:59:25.6968653Z [2023-07-07 19:58:49,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6968857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6968863Z 2023-07-07T19:59:25.6969048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6969313Z - self: 2023-07-07T19:59:25.6969555Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6969657Z - aten_name: 2023-07-07T19:59:25.6969789Z - function_overloads: 2023-07-07T19:59:25.6969906Z - onnx_args: 2023-07-07T19:59:25.6970022Z - onnx_kwargs: 2023-07-07T19:59:25.6970325Z - diagnostic_context: 2023-07-07T19:59:25.6970533Z - Return value: 2023-07-07T19:59:25.6970844Z [2023-07-07 19:58:49,884] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6971001Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6971041Z 2023-07-07T19:59:25.6971226Z [2023-07-07 19:58:49,884] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6971427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6971435Z 2023-07-07T19:59:25.6971616Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6971918Z - self: 2023-07-07T19:59:25.6972159Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6972272Z - aten_name: 2023-07-07T19:59:25.6972404Z - function_overloads: 2023-07-07T19:59:25.6972520Z - onnx_args: 2023-07-07T19:59:25.6972625Z - onnx_kwargs: 2023-07-07T19:59:25.6972926Z - diagnostic_context: 2023-07-07T19:59:25.6973138Z - Return value: 2023-07-07T19:59:25.6973447Z [2023-07-07 19:58:49,950] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6973607Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6973615Z 2023-07-07T19:59:25.6973809Z [2023-07-07 19:58:49,950] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6974011Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6974017Z 2023-07-07T19:59:25.6974228Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6974498Z - self: 2023-07-07T19:59:25.6974730Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6974845Z - aten_name: 2023-07-07T19:59:25.6974976Z - function_overloads: 2023-07-07T19:59:25.6975092Z - onnx_args: 2023-07-07T19:59:25.6975208Z - onnx_kwargs: 2023-07-07T19:59:25.6975543Z - diagnostic_context: 2023-07-07T19:59:25.6975755Z - Return value: 2023-07-07T19:59:25.6976063Z [2023-07-07 19:58:50,023] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6976209Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6976215Z 2023-07-07T19:59:25.6976412Z [2023-07-07 19:58:50,023] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6976612Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6976620Z 2023-07-07T19:59:25.6976801Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6977066Z - self: 2023-07-07T19:59:25.6977309Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6977424Z - aten_name: 2023-07-07T19:59:25.6977555Z - function_overloads: 2023-07-07T19:59:25.6977669Z - onnx_args: 2023-07-07T19:59:25.6977774Z - onnx_kwargs: 2023-07-07T19:59:25.6978074Z - diagnostic_context: 2023-07-07T19:59:25.6978287Z - Return value: 2023-07-07T19:59:25.6978596Z [2023-07-07 19:58:50,095] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6978782Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6978789Z 2023-07-07T19:59:25.6978986Z [2023-07-07 19:58:50,095] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6979187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6979221Z 2023-07-07T19:59:25.6979403Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6979668Z - self: 2023-07-07T19:59:25.6979898Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6980012Z - aten_name: 2023-07-07T19:59:25.6980145Z - function_overloads: 2023-07-07T19:59:25.6980260Z - onnx_args: 2023-07-07T19:59:25.6980376Z - onnx_kwargs: 2023-07-07T19:59:25.6980682Z - diagnostic_context: 2023-07-07T19:59:25.6980892Z - Return value: 2023-07-07T19:59:25.6981189Z [2023-07-07 19:58:50,165] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6981352Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6981358Z 2023-07-07T19:59:25.6981552Z [2023-07-07 19:58:50,165] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6981751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6981787Z 2023-07-07T19:59:25.6981969Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6982237Z - self: 2023-07-07T19:59:25.6982481Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6982593Z - aten_name: 2023-07-07T19:59:25.6982725Z - function_overloads: 2023-07-07T19:59:25.6982857Z - onnx_args: 2023-07-07T19:59:25.6982972Z - onnx_kwargs: 2023-07-07T19:59:25.6983276Z - diagnostic_context: 2023-07-07T19:59:25.6983486Z - Return value: 2023-07-07T19:59:25.6983797Z [2023-07-07 19:58:50,218] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6983955Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6983961Z 2023-07-07T19:59:25.6984156Z [2023-07-07 19:58:50,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6984360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6984366Z 2023-07-07T19:59:25.6984549Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6984804Z - self: 2023-07-07T19:59:25.6985049Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6985162Z - aten_name: 2023-07-07T19:59:25.6985295Z - function_overloads: 2023-07-07T19:59:25.6985411Z - onnx_args: 2023-07-07T19:59:25.6985527Z - onnx_kwargs: 2023-07-07T19:59:25.6985830Z - diagnostic_context: 2023-07-07T19:59:25.6986029Z - Return value: 2023-07-07T19:59:25.6986366Z [2023-07-07 19:58:50,274] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6986526Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6986531Z 2023-07-07T19:59:25.6986729Z [2023-07-07 19:58:50,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6986958Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6986964Z 2023-07-07T19:59:25.6987147Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6987413Z - self: 2023-07-07T19:59:25.6987656Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6987769Z - aten_name: 2023-07-07T19:59:25.6987888Z - function_overloads: 2023-07-07T19:59:25.6988006Z - onnx_args: 2023-07-07T19:59:25.6988123Z - onnx_kwargs: 2023-07-07T19:59:25.6988425Z - diagnostic_context: 2023-07-07T19:59:25.6988637Z - Return value: 2023-07-07T19:59:25.6988947Z [2023-07-07 19:58:50,329] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6989108Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6989114Z 2023-07-07T19:59:25.6989309Z [2023-07-07 19:58:50,329] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6989550Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6989571Z 2023-07-07T19:59:25.6989747Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6990015Z - self: 2023-07-07T19:59:25.6990256Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6990399Z - aten_name: 2023-07-07T19:59:25.6990565Z - function_overloads: 2023-07-07T19:59:25.6990683Z - onnx_args: 2023-07-07T19:59:25.6990798Z - onnx_kwargs: 2023-07-07T19:59:25.6991086Z - diagnostic_context: 2023-07-07T19:59:25.6991298Z - Return value: 2023-07-07T19:59:25.6991612Z [2023-07-07 19:58:50,385] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6991770Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6991775Z 2023-07-07T19:59:25.6991975Z [2023-07-07 19:58:50,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6992175Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6992183Z 2023-07-07T19:59:25.6992365Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6992636Z - self: 2023-07-07T19:59:25.6992877Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6992977Z - aten_name: 2023-07-07T19:59:25.6993109Z - function_overloads: 2023-07-07T19:59:25.6993225Z - onnx_args: 2023-07-07T19:59:25.6993340Z - onnx_kwargs: 2023-07-07T19:59:25.6993643Z - diagnostic_context: 2023-07-07T19:59:25.6993886Z - Return value: 2023-07-07T19:59:25.6994196Z [2023-07-07 19:58:50,436] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6994355Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6994361Z 2023-07-07T19:59:25.6994646Z [2023-07-07 19:58:50,436] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6994850Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6994856Z 2023-07-07T19:59:25.6995037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6995310Z - self: 2023-07-07T19:59:25.6995556Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6995672Z - aten_name: 2023-07-07T19:59:25.6995804Z - function_overloads: 2023-07-07T19:59:25.6995919Z - onnx_args: 2023-07-07T19:59:25.6996036Z - onnx_kwargs: 2023-07-07T19:59:25.6996329Z - diagnostic_context: 2023-07-07T19:59:25.6996544Z - Return value: 2023-07-07T19:59:25.6996853Z [2023-07-07 19:58:50,491] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6997011Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6997017Z 2023-07-07T19:59:25.6997245Z [2023-07-07 19:58:50,491] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.6997448Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.6997454Z 2023-07-07T19:59:25.6997639Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.6997907Z - self: 2023-07-07T19:59:25.6998177Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.6998281Z - aten_name: 2023-07-07T19:59:25.6998425Z - function_overloads: 2023-07-07T19:59:25.6998601Z - onnx_args: 2023-07-07T19:59:25.6998760Z - onnx_kwargs: 2023-07-07T19:59:25.6999065Z - diagnostic_context: 2023-07-07T19:59:25.6999278Z - Return value: 2023-07-07T19:59:25.6999585Z [2023-07-07 19:58:50,546] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.6999731Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.6999750Z 2023-07-07T19:59:25.6999933Z [2023-07-07 19:58:50,546] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7000137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7000147Z 2023-07-07T19:59:25.7000329Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7000680Z - self: 2023-07-07T19:59:25.7000928Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7001043Z - aten_name: 2023-07-07T19:59:25.7001176Z - function_overloads: 2023-07-07T19:59:25.7001290Z - onnx_args: 2023-07-07T19:59:25.7001395Z - onnx_kwargs: 2023-07-07T19:59:25.7001741Z - diagnostic_context: 2023-07-07T19:59:25.7001954Z - Return value: 2023-07-07T19:59:25.7002261Z [2023-07-07 19:58:50,602] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7002452Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7002457Z 2023-07-07T19:59:25.7002653Z [2023-07-07 19:58:50,602] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7002853Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7002860Z 2023-07-07T19:59:25.7003047Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7003316Z - self: 2023-07-07T19:59:25.7003548Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7003664Z - aten_name: 2023-07-07T19:59:25.7003796Z - function_overloads: 2023-07-07T19:59:25.7003915Z - onnx_args: 2023-07-07T19:59:25.7004031Z - onnx_kwargs: 2023-07-07T19:59:25.7004334Z - diagnostic_context: 2023-07-07T19:59:25.7004696Z - Return value: 2023-07-07T19:59:25.7004994Z [2023-07-07 19:58:50,659] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7005199Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7005207Z 2023-07-07T19:59:25.7005409Z [2023-07-07 19:58:50,659] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7005613Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7005619Z 2023-07-07T19:59:25.7005804Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7006115Z - self: 2023-07-07T19:59:25.7006358Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7006471Z - aten_name: 2023-07-07T19:59:25.7006606Z - function_overloads: 2023-07-07T19:59:25.7006707Z - onnx_args: 2023-07-07T19:59:25.7006824Z - onnx_kwargs: 2023-07-07T19:59:25.7007127Z - diagnostic_context: 2023-07-07T19:59:25.7007339Z - Return value: 2023-07-07T19:59:25.7007648Z [2023-07-07 19:58:50,715] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7007807Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7007813Z 2023-07-07T19:59:25.7008015Z [2023-07-07 19:58:50,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7008217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7008225Z 2023-07-07T19:59:25.7008408Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7008662Z - self: 2023-07-07T19:59:25.7008907Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7009021Z - aten_name: 2023-07-07T19:59:25.7009153Z - function_overloads: 2023-07-07T19:59:25.7009302Z - onnx_args: 2023-07-07T19:59:25.7009421Z - onnx_kwargs: 2023-07-07T19:59:25.7009723Z - diagnostic_context: 2023-07-07T19:59:25.7009923Z - Return value: 2023-07-07T19:59:25.7010237Z [2023-07-07 19:58:50,784] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7010427Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7010433Z 2023-07-07T19:59:25.7010629Z [2023-07-07 19:58:50,785] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7010834Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7010840Z 2023-07-07T19:59:25.7011025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7011293Z - self: 2023-07-07T19:59:25.7011540Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7011656Z - aten_name: 2023-07-07T19:59:25.7011774Z - function_overloads: 2023-07-07T19:59:25.7011890Z - onnx_args: 2023-07-07T19:59:25.7012010Z - onnx_kwargs: 2023-07-07T19:59:25.7012314Z - diagnostic_context: 2023-07-07T19:59:25.7012526Z - Return value: 2023-07-07T19:59:25.7012862Z [2023-07-07 19:58:50,865] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7013022Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7013028Z 2023-07-07T19:59:25.7013227Z [2023-07-07 19:58:50,865] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7013427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7013434Z 2023-07-07T19:59:25.7013636Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7013903Z - self: 2023-07-07T19:59:25.7014147Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7014260Z - aten_name: 2023-07-07T19:59:25.7014392Z - function_overloads: 2023-07-07T19:59:25.7014510Z - onnx_args: 2023-07-07T19:59:25.7014626Z - onnx_kwargs: 2023-07-07T19:59:25.7014930Z - diagnostic_context: 2023-07-07T19:59:25.7015131Z - Return value: 2023-07-07T19:59:25.7015442Z [2023-07-07 19:58:50,953] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7015602Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7015610Z 2023-07-07T19:59:25.7015807Z [2023-07-07 19:58:50,953] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7016013Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7016018Z 2023-07-07T19:59:25.7016201Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7016470Z - self: 2023-07-07T19:59:25.7016713Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7016857Z - aten_name: 2023-07-07T19:59:25.7016979Z - function_overloads: 2023-07-07T19:59:25.7017093Z - onnx_args: 2023-07-07T19:59:25.7017211Z - onnx_kwargs: 2023-07-07T19:59:25.7017513Z - diagnostic_context: 2023-07-07T19:59:25.7017726Z - Return value: 2023-07-07T19:59:25.7018067Z [2023-07-07 19:58:51,028] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7018227Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7018232Z 2023-07-07T19:59:25.7018431Z [2023-07-07 19:58:51,028] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7018618Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7018624Z 2023-07-07T19:59:25.7018809Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7019075Z - self: 2023-07-07T19:59:25.7019322Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7019436Z - aten_name: 2023-07-07T19:59:25.7019571Z - function_overloads: 2023-07-07T19:59:25.7019687Z - onnx_args: 2023-07-07T19:59:25.7019804Z - onnx_kwargs: 2023-07-07T19:59:25.7020095Z - diagnostic_context: 2023-07-07T19:59:25.7020343Z - Return value: 2023-07-07T19:59:25.7020657Z [2023-07-07 19:58:51,114] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7020818Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7020824Z 2023-07-07T19:59:25.7021018Z [2023-07-07 19:58:51,114] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7021220Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7021252Z 2023-07-07T19:59:25.7021438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7021705Z - self: 2023-07-07T19:59:25.7021946Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7022046Z - aten_name: 2023-07-07T19:59:25.7022180Z - function_overloads: 2023-07-07T19:59:25.7022296Z - onnx_args: 2023-07-07T19:59:25.7022413Z - onnx_kwargs: 2023-07-07T19:59:25.7022720Z - diagnostic_context: 2023-07-07T19:59:25.7022930Z - Return value: 2023-07-07T19:59:25.7023239Z [2023-07-07 19:58:51,190] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7023398Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7023405Z 2023-07-07T19:59:25.7023587Z [2023-07-07 19:58:51,190] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7023788Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7023794Z 2023-07-07T19:59:25.7023980Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7024246Z - self: 2023-07-07T19:59:25.7024522Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7024637Z - aten_name: 2023-07-07T19:59:25.7024769Z - function_overloads: 2023-07-07T19:59:25.7024884Z - onnx_args: 2023-07-07T19:59:25.7024990Z - onnx_kwargs: 2023-07-07T19:59:25.7025291Z - diagnostic_context: 2023-07-07T19:59:25.7025529Z - Return value: 2023-07-07T19:59:25.7025839Z [2023-07-07 19:58:51,264] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7026000Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7026006Z 2023-07-07T19:59:25.7026200Z [2023-07-07 19:58:51,264] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7026403Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7026409Z 2023-07-07T19:59:25.7026591Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7026858Z - self: 2023-07-07T19:59:25.7027088Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7027202Z - aten_name: 2023-07-07T19:59:25.7027332Z - function_overloads: 2023-07-07T19:59:25.7027448Z - onnx_args: 2023-07-07T19:59:25.7027564Z - onnx_kwargs: 2023-07-07T19:59:25.7027903Z - diagnostic_context: 2023-07-07T19:59:25.7028115Z - Return value: 2023-07-07T19:59:25.7028429Z [2023-07-07 19:58:51,331] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7028574Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7028579Z 2023-07-07T19:59:25.7028777Z [2023-07-07 19:58:51,332] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7029008Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7029016Z 2023-07-07T19:59:25.7029198Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7029465Z - self: 2023-07-07T19:59:25.7029711Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7029825Z - aten_name: 2023-07-07T19:59:25.7029955Z - function_overloads: 2023-07-07T19:59:25.7030058Z - onnx_args: 2023-07-07T19:59:25.7030176Z - onnx_kwargs: 2023-07-07T19:59:25.7030477Z - diagnostic_context: 2023-07-07T19:59:25.7030689Z - Return value: 2023-07-07T19:59:25.7031000Z [2023-07-07 19:58:51,386] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7031160Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7031166Z 2023-07-07T19:59:25.7031363Z [2023-07-07 19:58:51,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7031569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7031575Z 2023-07-07T19:59:25.7031760Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7032043Z - self: 2023-07-07T19:59:25.7032286Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7032400Z - aten_name: 2023-07-07T19:59:25.7032535Z - function_overloads: 2023-07-07T19:59:25.7032650Z - onnx_args: 2023-07-07T19:59:25.7032791Z - onnx_kwargs: 2023-07-07T19:59:25.7033094Z - diagnostic_context: 2023-07-07T19:59:25.7033305Z - Return value: 2023-07-07T19:59:25.7033605Z [2023-07-07 19:58:51,666] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7033764Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7033770Z 2023-07-07T19:59:25.7033970Z [2023-07-07 19:58:51,666] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7034172Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7034178Z 2023-07-07T19:59:25.7034363Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7034702Z - self: 2023-07-07T19:59:25.7034950Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7035064Z - aten_name: 2023-07-07T19:59:25.7035196Z - function_overloads: 2023-07-07T19:59:25.7035298Z - onnx_args: 2023-07-07T19:59:25.7035447Z - onnx_kwargs: 2023-07-07T19:59:25.7035753Z - diagnostic_context: 2023-07-07T19:59:25.7035964Z - Return value: 2023-07-07T19:59:25.7036274Z [2023-07-07 19:58:51,720] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7036434Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7036480Z 2023-07-07T19:59:25.7036676Z [2023-07-07 19:58:51,720] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7036882Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7036888Z 2023-07-07T19:59:25.7037060Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7037329Z - self: 2023-07-07T19:59:25.7037571Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7037685Z - aten_name: 2023-07-07T19:59:25.7037818Z - function_overloads: 2023-07-07T19:59:25.7037934Z - onnx_args: 2023-07-07T19:59:25.7038051Z - onnx_kwargs: 2023-07-07T19:59:25.7038352Z - diagnostic_context: 2023-07-07T19:59:25.7038553Z - Return value: 2023-07-07T19:59:25.7038867Z [2023-07-07 19:58:51,792] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7039027Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7039034Z 2023-07-07T19:59:25.7039232Z [2023-07-07 19:58:51,792] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7039434Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7039440Z 2023-07-07T19:59:25.7039653Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7039922Z - self: 2023-07-07T19:59:25.7040165Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7040280Z - aten_name: 2023-07-07T19:59:25.7040429Z - function_overloads: 2023-07-07T19:59:25.7040544Z - onnx_args: 2023-07-07T19:59:25.7040660Z - onnx_kwargs: 2023-07-07T19:59:25.7040967Z - diagnostic_context: 2023-07-07T19:59:25.7041178Z - Return value: 2023-07-07T19:59:25.7041488Z [2023-07-07 19:58:51,865] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7041646Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7041652Z 2023-07-07T19:59:25.7041847Z [2023-07-07 19:58:51,865] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7042034Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7042055Z 2023-07-07T19:59:25.7042225Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7042494Z - self: 2023-07-07T19:59:25.7042737Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7042849Z - aten_name: 2023-07-07T19:59:25.7043019Z - function_overloads: 2023-07-07T19:59:25.7043134Z - onnx_args: 2023-07-07T19:59:25.7043249Z - onnx_kwargs: 2023-07-07T19:59:25.7043543Z - diagnostic_context: 2023-07-07T19:59:25.7043755Z - Return value: 2023-07-07T19:59:25.7044064Z [2023-07-07 19:58:51,960] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7044252Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7044260Z 2023-07-07T19:59:25.7044614Z [2023-07-07 19:58:51,960] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7044857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7044863Z 2023-07-07T19:59:25.7045051Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7045322Z - self: 2023-07-07T19:59:25.7045569Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7045669Z - aten_name: 2023-07-07T19:59:25.7045800Z - function_overloads: 2023-07-07T19:59:25.7045916Z - onnx_args: 2023-07-07T19:59:25.7046034Z - onnx_kwargs: 2023-07-07T19:59:25.7046338Z - diagnostic_context: 2023-07-07T19:59:25.7046554Z - Return value: 2023-07-07T19:59:25.7046863Z [2023-07-07 19:58:52,038] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7047023Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7047029Z 2023-07-07T19:59:25.7047214Z [2023-07-07 19:58:52,038] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7047486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7047492Z 2023-07-07T19:59:25.7047676Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7047945Z - self: 2023-07-07T19:59:25.7048188Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7048370Z - aten_name: 2023-07-07T19:59:25.7048501Z - function_overloads: 2023-07-07T19:59:25.7048617Z - onnx_args: 2023-07-07T19:59:25.7048721Z - onnx_kwargs: 2023-07-07T19:59:25.7049027Z - diagnostic_context: 2023-07-07T19:59:25.7049237Z - Return value: 2023-07-07T19:59:25.7049549Z [2023-07-07 19:58:52,113] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7049706Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7049712Z 2023-07-07T19:59:25.7049911Z [2023-07-07 19:58:52,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7050114Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7050122Z 2023-07-07T19:59:25.7050307Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7050573Z - self: 2023-07-07T19:59:25.7050841Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7050956Z - aten_name: 2023-07-07T19:59:25.7051086Z - function_overloads: 2023-07-07T19:59:25.7051202Z - onnx_args: 2023-07-07T19:59:25.7051320Z - onnx_kwargs: 2023-07-07T19:59:25.7051623Z - diagnostic_context: 2023-07-07T19:59:25.7051834Z - Return value: 2023-07-07T19:59:25.7052183Z [2023-07-07 19:58:52,199] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7052330Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7052347Z 2023-07-07T19:59:25.7052531Z [2023-07-07 19:58:52,199] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7052733Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7052739Z 2023-07-07T19:59:25.7052923Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7053194Z - self: 2023-07-07T19:59:25.7053438Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7053550Z - aten_name: 2023-07-07T19:59:25.7053683Z - function_overloads: 2023-07-07T19:59:25.7053797Z - onnx_args: 2023-07-07T19:59:25.7053903Z - onnx_kwargs: 2023-07-07T19:59:25.7054206Z - diagnostic_context: 2023-07-07T19:59:25.7054416Z - Return value: 2023-07-07T19:59:25.7054728Z [2023-07-07 19:58:52,275] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7054885Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7054891Z 2023-07-07T19:59:25.7055115Z [2023-07-07 19:58:52,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7055319Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7055325Z 2023-07-07T19:59:25.7055507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7055774Z - self: 2023-07-07T19:59:25.7056038Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7056149Z - aten_name: 2023-07-07T19:59:25.7056282Z - function_overloads: 2023-07-07T19:59:25.7056397Z - onnx_args: 2023-07-07T19:59:25.7056517Z - onnx_kwargs: 2023-07-07T19:59:25.7056820Z - diagnostic_context: 2023-07-07T19:59:25.7057030Z - Return value: 2023-07-07T19:59:25.7057330Z [2023-07-07 19:58:52,369] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7057487Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7057495Z 2023-07-07T19:59:25.7057691Z [2023-07-07 19:58:52,369] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7057897Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7057903Z 2023-07-07T19:59:25.7058086Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7058381Z - self: 2023-07-07T19:59:25.7058627Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7058739Z - aten_name: 2023-07-07T19:59:25.7058872Z - function_overloads: 2023-07-07T19:59:25.7058975Z - onnx_args: 2023-07-07T19:59:25.7059090Z - onnx_kwargs: 2023-07-07T19:59:25.7059395Z - diagnostic_context: 2023-07-07T19:59:25.7059632Z - Return value: 2023-07-07T19:59:25.7059943Z [2023-07-07 19:58:52,442] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7060100Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7060105Z 2023-07-07T19:59:25.7060300Z [2023-07-07 19:58:52,442] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7060503Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7060509Z 2023-07-07T19:59:25.7060693Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7060947Z - self: 2023-07-07T19:59:25.7061188Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7061305Z - aten_name: 2023-07-07T19:59:25.7061440Z - function_overloads: 2023-07-07T19:59:25.7061554Z - onnx_args: 2023-07-07T19:59:25.7061672Z - onnx_kwargs: 2023-07-07T19:59:25.7061974Z - diagnostic_context: 2023-07-07T19:59:25.7062172Z - Return value: 2023-07-07T19:59:25.7062482Z [2023-07-07 19:58:52,515] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7062640Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7062674Z 2023-07-07T19:59:25.7062871Z [2023-07-07 19:58:52,516] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7063074Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7063082Z 2023-07-07T19:59:25.7063264Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7063558Z - self: 2023-07-07T19:59:25.7063800Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7063912Z - aten_name: 2023-07-07T19:59:25.7064032Z - function_overloads: 2023-07-07T19:59:25.7064146Z - onnx_args: 2023-07-07T19:59:25.7064262Z - onnx_kwargs: 2023-07-07T19:59:25.7064567Z - diagnostic_context: 2023-07-07T19:59:25.7064776Z - Return value: 2023-07-07T19:59:25.7065083Z [2023-07-07 19:58:52,594] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7065240Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7065248Z 2023-07-07T19:59:25.7065442Z [2023-07-07 19:58:52,594] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7065630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7065649Z 2023-07-07T19:59:25.7065848Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7066117Z - self: 2023-07-07T19:59:25.7066359Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7066470Z - aten_name: 2023-07-07T19:59:25.7066602Z - function_overloads: 2023-07-07T19:59:25.7066717Z - onnx_args: 2023-07-07T19:59:25.7066835Z - onnx_kwargs: 2023-07-07T19:59:25.7067158Z - diagnostic_context: 2023-07-07T19:59:25.7067372Z - Return value: 2023-07-07T19:59:25.7067680Z [2023-07-07 19:58:52,669] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7067836Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7067844Z 2023-07-07T19:59:25.7068039Z [2023-07-07 19:58:52,669] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7068243Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7068249Z 2023-07-07T19:59:25.7068432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7068699Z - self: 2023-07-07T19:59:25.7068944Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7069058Z - aten_name: 2023-07-07T19:59:25.7069177Z - function_overloads: 2023-07-07T19:59:25.7069292Z - onnx_args: 2023-07-07T19:59:25.7069410Z - onnx_kwargs: 2023-07-07T19:59:25.7069713Z - diagnostic_context: 2023-07-07T19:59:25.7069927Z - Return value: 2023-07-07T19:59:25.7070270Z [2023-07-07 19:58:52,767] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7070430Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7070436Z 2023-07-07T19:59:25.7070632Z [2023-07-07 19:58:52,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7070825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7070857Z 2023-07-07T19:59:25.7071042Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7071308Z - self: 2023-07-07T19:59:25.7071552Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7071667Z - aten_name: 2023-07-07T19:59:25.7071798Z - function_overloads: 2023-07-07T19:59:25.7071914Z - onnx_args: 2023-07-07T19:59:25.7072032Z - onnx_kwargs: 2023-07-07T19:59:25.7072324Z - diagnostic_context: 2023-07-07T19:59:25.7072535Z - Return value: 2023-07-07T19:59:25.7072844Z [2023-07-07 19:58:52,839] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7073004Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7073010Z 2023-07-07T19:59:25.7073206Z [2023-07-07 19:58:52,839] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7073443Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7073449Z 2023-07-07T19:59:25.7073635Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7073905Z - self: 2023-07-07T19:59:25.7074146Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7074246Z - aten_name: 2023-07-07T19:59:25.7074377Z - function_overloads: 2023-07-07T19:59:25.7074608Z - onnx_args: 2023-07-07T19:59:25.7074730Z - onnx_kwargs: 2023-07-07T19:59:25.7075034Z - diagnostic_context: 2023-07-07T19:59:25.7075246Z - Return value: 2023-07-07T19:59:25.7075558Z [2023-07-07 19:58:52,919] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7075704Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7075723Z 2023-07-07T19:59:25.7075908Z [2023-07-07 19:58:52,919] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7076112Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7076119Z 2023-07-07T19:59:25.7076302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7076572Z - self: 2023-07-07T19:59:25.7076819Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7076933Z - aten_name: 2023-07-07T19:59:25.7077065Z - function_overloads: 2023-07-07T19:59:25.7077181Z - onnx_args: 2023-07-07T19:59:25.7077285Z - onnx_kwargs: 2023-07-07T19:59:25.7077590Z - diagnostic_context: 2023-07-07T19:59:25.7077803Z - Return value: 2023-07-07T19:59:25.7078147Z [2023-07-07 19:58:52,979] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7078309Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7078316Z 2023-07-07T19:59:25.7078514Z [2023-07-07 19:58:52,979] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7078745Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7078751Z 2023-07-07T19:59:25.7078935Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7079206Z - self: 2023-07-07T19:59:25.7079438Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7079551Z - aten_name: 2023-07-07T19:59:25.7079686Z - function_overloads: 2023-07-07T19:59:25.7079804Z - onnx_args: 2023-07-07T19:59:25.7079921Z - onnx_kwargs: 2023-07-07T19:59:25.7080223Z - diagnostic_context: 2023-07-07T19:59:25.7080441Z - Return value: 2023-07-07T19:59:25.7080738Z [2023-07-07 19:58:53,038] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7080900Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7080906Z 2023-07-07T19:59:25.7081102Z [2023-07-07 19:58:53,038] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7081340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7081347Z 2023-07-07T19:59:25.7081536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7081804Z - self: 2023-07-07T19:59:25.7082046Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7082190Z - aten_name: 2023-07-07T19:59:25.7082322Z - function_overloads: 2023-07-07T19:59:25.7082426Z - onnx_args: 2023-07-07T19:59:25.7082544Z - onnx_kwargs: 2023-07-07T19:59:25.7082847Z - diagnostic_context: 2023-07-07T19:59:25.7083059Z - Return value: 2023-07-07T19:59:25.7083373Z [2023-07-07 19:58:53,094] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7083532Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7083540Z 2023-07-07T19:59:25.7083738Z [2023-07-07 19:58:53,094] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7083939Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7083947Z 2023-07-07T19:59:25.7084129Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7084482Z - self: 2023-07-07T19:59:25.7084778Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7084894Z - aten_name: 2023-07-07T19:59:25.7085026Z - function_overloads: 2023-07-07T19:59:25.7085147Z - onnx_args: 2023-07-07T19:59:25.7085265Z - onnx_kwargs: 2023-07-07T19:59:25.7085571Z - diagnostic_context: 2023-07-07T19:59:25.7085832Z - Return value: 2023-07-07T19:59:25.7086134Z [2023-07-07 19:58:53,150] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7086296Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7086335Z 2023-07-07T19:59:25.7086533Z [2023-07-07 19:58:53,150] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7086736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7086742Z 2023-07-07T19:59:25.7086928Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7087197Z - self: 2023-07-07T19:59:25.7087444Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7087560Z - aten_name: 2023-07-07T19:59:25.7087680Z - function_overloads: 2023-07-07T19:59:25.7087796Z - onnx_args: 2023-07-07T19:59:25.7087913Z - onnx_kwargs: 2023-07-07T19:59:25.7088220Z - diagnostic_context: 2023-07-07T19:59:25.7088432Z - Return value: 2023-07-07T19:59:25.7088745Z [2023-07-07 19:58:53,203] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7088901Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7088908Z 2023-07-07T19:59:25.7089136Z [2023-07-07 19:58:53,204] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7089340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7089348Z 2023-07-07T19:59:25.7089518Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7089784Z - self: 2023-07-07T19:59:25.7090065Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7090180Z - aten_name: 2023-07-07T19:59:25.7090310Z - function_overloads: 2023-07-07T19:59:25.7090424Z - onnx_args: 2023-07-07T19:59:25.7090540Z - onnx_kwargs: 2023-07-07T19:59:25.7090842Z - diagnostic_context: 2023-07-07T19:59:25.7091043Z - Return value: 2023-07-07T19:59:25.7091353Z [2023-07-07 19:58:53,275] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7091511Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7091517Z 2023-07-07T19:59:25.7091713Z [2023-07-07 19:58:53,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7091917Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7091924Z 2023-07-07T19:59:25.7092106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7092374Z - self: 2023-07-07T19:59:25.7092616Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7092730Z - aten_name: 2023-07-07T19:59:25.7092851Z - function_overloads: 2023-07-07T19:59:25.7092966Z - onnx_args: 2023-07-07T19:59:25.7093084Z - onnx_kwargs: 2023-07-07T19:59:25.7093415Z - diagnostic_context: 2023-07-07T19:59:25.7093629Z - Return value: 2023-07-07T19:59:25.7093934Z [2023-07-07 19:58:53,393] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7094133Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7094138Z 2023-07-07T19:59:25.7094334Z [2023-07-07 19:58:53,394] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7094521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7094529Z 2023-07-07T19:59:25.7094709Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7094974Z - self: 2023-07-07T19:59:25.7095216Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7095328Z - aten_name: 2023-07-07T19:59:25.7095459Z - function_overloads: 2023-07-07T19:59:25.7095576Z - onnx_args: 2023-07-07T19:59:25.7095693Z - onnx_kwargs: 2023-07-07T19:59:25.7095985Z - diagnostic_context: 2023-07-07T19:59:25.7096196Z - Return value: 2023-07-07T19:59:25.7096504Z [2023-07-07 19:58:53,485] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7096689Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7096696Z 2023-07-07T19:59:25.7096890Z [2023-07-07 19:58:53,485] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7097092Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7097098Z 2023-07-07T19:59:25.7097278Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7097582Z - self: 2023-07-07T19:59:25.7097827Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7097927Z - aten_name: 2023-07-07T19:59:25.7098056Z - function_overloads: 2023-07-07T19:59:25.7098171Z - onnx_args: 2023-07-07T19:59:25.7098287Z - onnx_kwargs: 2023-07-07T19:59:25.7098591Z - diagnostic_context: 2023-07-07T19:59:25.7098803Z - Return value: 2023-07-07T19:59:25.7099123Z [2023-07-07 19:58:53,609] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7099356Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7099365Z 2023-07-07T19:59:25.7099566Z [2023-07-07 19:58:53,609] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7099772Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7099778Z 2023-07-07T19:59:25.7099959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7100225Z - self: 2023-07-07T19:59:25.7100470Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7100582Z - aten_name: 2023-07-07T19:59:25.7100714Z - function_overloads: 2023-07-07T19:59:25.7100878Z - onnx_args: 2023-07-07T19:59:25.7100983Z - onnx_kwargs: 2023-07-07T19:59:25.7101287Z - diagnostic_context: 2023-07-07T19:59:25.7101499Z - Return value: 2023-07-07T19:59:25.7101810Z [2023-07-07 19:58:53,787] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7101995Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7102001Z 2023-07-07T19:59:25.7102195Z [2023-07-07 19:58:53,787] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7102397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7102403Z 2023-07-07T19:59:25.7102586Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7102854Z - self: 2023-07-07T19:59:25.7103082Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7103197Z - aten_name: 2023-07-07T19:59:25.7103327Z - function_overloads: 2023-07-07T19:59:25.7103444Z - onnx_args: 2023-07-07T19:59:25.7103559Z - onnx_kwargs: 2023-07-07T19:59:25.7103862Z - diagnostic_context: 2023-07-07T19:59:25.7104072Z - Return value: 2023-07-07T19:59:25.7104411Z [2023-07-07 19:58:53,898] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7104557Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7104563Z 2023-07-07T19:59:25.7104761Z [2023-07-07 19:58:53,898] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7104961Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7104996Z 2023-07-07T19:59:25.7105177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7105445Z - self: 2023-07-07T19:59:25.7105687Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7105801Z - aten_name: 2023-07-07T19:59:25.7105931Z - function_overloads: 2023-07-07T19:59:25.7106036Z - onnx_args: 2023-07-07T19:59:25.7106152Z - onnx_kwargs: 2023-07-07T19:59:25.7106455Z - diagnostic_context: 2023-07-07T19:59:25.7106668Z - Return value: 2023-07-07T19:59:25.7106977Z [2023-07-07 19:58:54,015] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7107137Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7107142Z 2023-07-07T19:59:25.7107340Z [2023-07-07 19:58:54,015] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7107540Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7107546Z 2023-07-07T19:59:25.7107731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7107987Z - self: 2023-07-07T19:59:25.7108229Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7108396Z - aten_name: 2023-07-07T19:59:25.7108530Z - function_overloads: 2023-07-07T19:59:25.7108645Z - onnx_args: 2023-07-07T19:59:25.7108761Z - onnx_kwargs: 2023-07-07T19:59:25.7109065Z - diagnostic_context: 2023-07-07T19:59:25.7109302Z - Return value: 2023-07-07T19:59:25.7109597Z [2023-07-07 19:58:54,094] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7109753Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7109759Z 2023-07-07T19:59:25.7109955Z [2023-07-07 19:58:54,094] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7110155Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7110161Z 2023-07-07T19:59:25.7110345Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7110611Z - self: 2023-07-07T19:59:25.7110855Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7110972Z - aten_name: 2023-07-07T19:59:25.7111103Z - function_overloads: 2023-07-07T19:59:25.7111206Z - onnx_args: 2023-07-07T19:59:25.7111322Z - onnx_kwargs: 2023-07-07T19:59:25.7111626Z - diagnostic_context: 2023-07-07T19:59:25.7111864Z - Return value: 2023-07-07T19:59:25.7112176Z [2023-07-07 19:58:54,170] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7112334Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7112340Z 2023-07-07T19:59:25.7112536Z [2023-07-07 19:58:54,171] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7112736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7112770Z 2023-07-07T19:59:25.7112941Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7113210Z - self: 2023-07-07T19:59:25.7113454Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7113569Z - aten_name: 2023-07-07T19:59:25.7113702Z - function_overloads: 2023-07-07T19:59:25.7113817Z - onnx_args: 2023-07-07T19:59:25.7113933Z - onnx_kwargs: 2023-07-07T19:59:25.7114238Z - diagnostic_context: 2023-07-07T19:59:25.7114434Z - Return value: 2023-07-07T19:59:25.7114837Z [2023-07-07 19:58:54,256] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7114998Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7115005Z 2023-07-07T19:59:25.7115200Z [2023-07-07 19:58:54,256] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7115401Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7115407Z 2023-07-07T19:59:25.7115591Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7115856Z - self: 2023-07-07T19:59:25.7116133Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7116249Z - aten_name: 2023-07-07T19:59:25.7116368Z - function_overloads: 2023-07-07T19:59:25.7116486Z - onnx_args: 2023-07-07T19:59:25.7116603Z - onnx_kwargs: 2023-07-07T19:59:25.7116906Z - diagnostic_context: 2023-07-07T19:59:25.7117145Z - Return value: 2023-07-07T19:59:25.7117456Z [2023-07-07 19:58:54,363] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7117615Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7117621Z 2023-07-07T19:59:25.7117815Z [2023-07-07 19:58:54,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7118004Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7118023Z 2023-07-07T19:59:25.7118193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7118461Z - self: 2023-07-07T19:59:25.7118703Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7118817Z - aten_name: 2023-07-07T19:59:25.7118948Z - function_overloads: 2023-07-07T19:59:25.7119062Z - onnx_args: 2023-07-07T19:59:25.7119177Z - onnx_kwargs: 2023-07-07T19:59:25.7119498Z - diagnostic_context: 2023-07-07T19:59:25.7119708Z - Return value: 2023-07-07T19:59:25.7120019Z [2023-07-07 19:58:54,437] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7120177Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7120183Z 2023-07-07T19:59:25.7120407Z [2023-07-07 19:58:54,437] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7120607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7120615Z 2023-07-07T19:59:25.7120795Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7121059Z - self: 2023-07-07T19:59:25.7121302Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7121402Z - aten_name: 2023-07-07T19:59:25.7121534Z - function_overloads: 2023-07-07T19:59:25.7121651Z - onnx_args: 2023-07-07T19:59:25.7121769Z - onnx_kwargs: 2023-07-07T19:59:25.7122073Z - diagnostic_context: 2023-07-07T19:59:25.7122284Z - Return value: 2023-07-07T19:59:25.7122597Z [2023-07-07 19:58:54,545] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7122754Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7122760Z 2023-07-07T19:59:25.7122942Z [2023-07-07 19:58:54,545] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7123146Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7123152Z 2023-07-07T19:59:25.7123334Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7123631Z - self: 2023-07-07T19:59:25.7123875Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7123990Z - aten_name: 2023-07-07T19:59:25.7124121Z - function_overloads: 2023-07-07T19:59:25.7124236Z - onnx_args: 2023-07-07T19:59:25.7124371Z - onnx_kwargs: 2023-07-07T19:59:25.7124844Z - diagnostic_context: 2023-07-07T19:59:25.7125058Z - Return value: 2023-07-07T19:59:25.7125377Z [2023-07-07 19:58:54,665] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7125536Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7125541Z 2023-07-07T19:59:25.7125741Z [2023-07-07 19:58:54,665] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7125944Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7125950Z 2023-07-07T19:59:25.7126136Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7126406Z - self: 2023-07-07T19:59:25.7126647Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7126748Z - aten_name: 2023-07-07T19:59:25.7126881Z - function_overloads: 2023-07-07T19:59:25.7127064Z - onnx_args: 2023-07-07T19:59:25.7127185Z - onnx_kwargs: 2023-07-07T19:59:25.7127490Z - diagnostic_context: 2023-07-07T19:59:25.7127704Z - Return value: 2023-07-07T19:59:25.7128013Z [2023-07-07 19:58:54,742] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7128159Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7128212Z 2023-07-07T19:59:25.7128397Z [2023-07-07 19:58:54,743] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7128602Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7128608Z 2023-07-07T19:59:25.7128791Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7129061Z - self: 2023-07-07T19:59:25.7129305Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7129422Z - aten_name: 2023-07-07T19:59:25.7129554Z - function_overloads: 2023-07-07T19:59:25.7129670Z - onnx_args: 2023-07-07T19:59:25.7129772Z - onnx_kwargs: 2023-07-07T19:59:25.7130080Z - diagnostic_context: 2023-07-07T19:59:25.7130293Z - Return value: 2023-07-07T19:59:25.7130606Z [2023-07-07 19:58:54,848] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7130763Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7130770Z 2023-07-07T19:59:25.7130969Z [2023-07-07 19:58:54,848] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7131171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7131177Z 2023-07-07T19:59:25.7131397Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7131667Z - self: 2023-07-07T19:59:25.7131899Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7132012Z - aten_name: 2023-07-07T19:59:25.7132180Z - function_overloads: 2023-07-07T19:59:25.7132295Z - onnx_args: 2023-07-07T19:59:25.7132414Z - onnx_kwargs: 2023-07-07T19:59:25.7132717Z - diagnostic_context: 2023-07-07T19:59:25.7132930Z - Return value: 2023-07-07T19:59:25.7133228Z [2023-07-07 19:58:54,992] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7133389Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7133396Z 2023-07-07T19:59:25.7133591Z [2023-07-07 19:58:54,992] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7133793Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7133802Z 2023-07-07T19:59:25.7133985Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7134251Z - self: 2023-07-07T19:59:25.7134495Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7134609Z - aten_name: 2023-07-07T19:59:25.7134767Z - function_overloads: 2023-07-07T19:59:25.7134872Z - onnx_args: 2023-07-07T19:59:25.7134991Z - onnx_kwargs: 2023-07-07T19:59:25.7135295Z - diagnostic_context: 2023-07-07T19:59:25.7135505Z - Return value: 2023-07-07T19:59:25.7135813Z [2023-07-07 19:58:55,107] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7136006Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7136014Z 2023-07-07T19:59:25.7136210Z [2023-07-07 19:58:55,107] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7136414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7136420Z 2023-07-07T19:59:25.7136603Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7136857Z - self: 2023-07-07T19:59:25.7137102Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7137216Z - aten_name: 2023-07-07T19:59:25.7137348Z - function_overloads: 2023-07-07T19:59:25.7137463Z - onnx_args: 2023-07-07T19:59:25.7137583Z - onnx_kwargs: 2023-07-07T19:59:25.7137884Z - diagnostic_context: 2023-07-07T19:59:25.7138086Z - Return value: 2023-07-07T19:59:25.7138396Z [2023-07-07 19:58:55,221] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7138555Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7138561Z 2023-07-07T19:59:25.7138757Z [2023-07-07 19:58:55,221] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7138986Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7138993Z 2023-07-07T19:59:25.7139179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7139450Z - self: 2023-07-07T19:59:25.7139693Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7139834Z - aten_name: 2023-07-07T19:59:25.7139954Z - function_overloads: 2023-07-07T19:59:25.7140071Z - onnx_args: 2023-07-07T19:59:25.7140187Z - onnx_kwargs: 2023-07-07T19:59:25.7140494Z - diagnostic_context: 2023-07-07T19:59:25.7140705Z - Return value: 2023-07-07T19:59:25.7141017Z [2023-07-07 19:58:55,303] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7141175Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7141181Z 2023-07-07T19:59:25.7141377Z [2023-07-07 19:58:55,303] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7141579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7141587Z 2023-07-07T19:59:25.7141757Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7142024Z - self: 2023-07-07T19:59:25.7142292Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7142409Z - aten_name: 2023-07-07T19:59:25.7142540Z - function_overloads: 2023-07-07T19:59:25.7142657Z - onnx_args: 2023-07-07T19:59:25.7142774Z - onnx_kwargs: 2023-07-07T19:59:25.7143067Z - diagnostic_context: 2023-07-07T19:59:25.7143276Z - Return value: 2023-07-07T19:59:25.7143614Z [2023-07-07 19:58:55,387] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7143775Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7143781Z 2023-07-07T19:59:25.7143975Z [2023-07-07 19:58:55,387] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7144177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7144183Z 2023-07-07T19:59:25.7144365Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7144632Z - self: 2023-07-07T19:59:25.7144873Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7144984Z - aten_name: 2023-07-07T19:59:25.7145107Z - function_overloads: 2023-07-07T19:59:25.7145221Z - onnx_args: 2023-07-07T19:59:25.7145340Z - onnx_kwargs: 2023-07-07T19:59:25.7145643Z - diagnostic_context: 2023-07-07T19:59:25.7145854Z - Return value: 2023-07-07T19:59:25.7146166Z [2023-07-07 19:58:55,468] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7146323Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7146329Z 2023-07-07T19:59:25.7146551Z [2023-07-07 19:58:55,468] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7146741Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7146747Z 2023-07-07T19:59:25.7146932Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7147199Z - self: 2023-07-07T19:59:25.7147470Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7147583Z - aten_name: 2023-07-07T19:59:25.7147715Z - function_overloads: 2023-07-07T19:59:25.7147830Z - onnx_args: 2023-07-07T19:59:25.7147948Z - onnx_kwargs: 2023-07-07T19:59:25.7148239Z - diagnostic_context: 2023-07-07T19:59:25.7148452Z - Return value: 2023-07-07T19:59:25.7148762Z [2023-07-07 19:58:55,524] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7148919Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7148926Z 2023-07-07T19:59:25.7149124Z [2023-07-07 19:58:55,524] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7149328Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7149334Z 2023-07-07T19:59:25.7149515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7149809Z - self: 2023-07-07T19:59:25.7150052Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7150153Z - aten_name: 2023-07-07T19:59:25.7150286Z - function_overloads: 2023-07-07T19:59:25.7150402Z - onnx_args: 2023-07-07T19:59:25.7150519Z - onnx_kwargs: 2023-07-07T19:59:25.7150822Z - diagnostic_context: 2023-07-07T19:59:25.7151060Z - Return value: 2023-07-07T19:59:25.7151370Z [2023-07-07 19:58:55,578] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7151516Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7151534Z 2023-07-07T19:59:25.7151719Z [2023-07-07 19:58:55,578] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7151919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7151925Z 2023-07-07T19:59:25.7152110Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7152381Z - self: 2023-07-07T19:59:25.7152625Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7152740Z - aten_name: 2023-07-07T19:59:25.7152872Z - function_overloads: 2023-07-07T19:59:25.7152988Z - onnx_args: 2023-07-07T19:59:25.7153092Z - onnx_kwargs: 2023-07-07T19:59:25.7153395Z - diagnostic_context: 2023-07-07T19:59:25.7153604Z - Return value: 2023-07-07T19:59:25.7153916Z [2023-07-07 19:58:55,634] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7154107Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7154114Z 2023-07-07T19:59:25.7154310Z [2023-07-07 19:58:55,635] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7154593Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7154602Z 2023-07-07T19:59:25.7154787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7155096Z - self: 2023-07-07T19:59:25.7155326Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7155441Z - aten_name: 2023-07-07T19:59:25.7155576Z - function_overloads: 2023-07-07T19:59:25.7155693Z - onnx_args: 2023-07-07T19:59:25.7155809Z - onnx_kwargs: 2023-07-07T19:59:25.7156115Z - diagnostic_context: 2023-07-07T19:59:25.7156325Z - Return value: 2023-07-07T19:59:25.7156633Z [2023-07-07 19:58:55,693] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7156782Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7156790Z 2023-07-07T19:59:25.7156988Z [2023-07-07 19:58:55,694] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7157191Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7157197Z 2023-07-07T19:59:25.7157408Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7157679Z - self: 2023-07-07T19:59:25.7157926Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7158041Z - aten_name: 2023-07-07T19:59:25.7158173Z - function_overloads: 2023-07-07T19:59:25.7158275Z - onnx_args: 2023-07-07T19:59:25.7158428Z - onnx_kwargs: 2023-07-07T19:59:25.7158729Z - diagnostic_context: 2023-07-07T19:59:25.7158943Z - Return value: 2023-07-07T19:59:25.7159250Z [2023-07-07 19:58:55,772] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7159408Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7159414Z 2023-07-07T19:59:25.7159609Z [2023-07-07 19:58:55,773] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7159814Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7159820Z 2023-07-07T19:59:25.7160002Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7160256Z - self: 2023-07-07T19:59:25.7160500Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7160615Z - aten_name: 2023-07-07T19:59:25.7160747Z - function_overloads: 2023-07-07T19:59:25.7160861Z - onnx_args: 2023-07-07T19:59:25.7160978Z - onnx_kwargs: 2023-07-07T19:59:25.7161397Z - diagnostic_context: 2023-07-07T19:59:25.7161611Z - Return value: 2023-07-07T19:59:25.7161939Z [2023-07-07 19:58:55,847] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7162099Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7162105Z 2023-07-07T19:59:25.7162303Z [2023-07-07 19:58:55,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7162510Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7162545Z 2023-07-07T19:59:25.7162730Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7162997Z - self: 2023-07-07T19:59:25.7163243Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7163354Z - aten_name: 2023-07-07T19:59:25.7163485Z - function_overloads: 2023-07-07T19:59:25.7163588Z - onnx_args: 2023-07-07T19:59:25.7163706Z - onnx_kwargs: 2023-07-07T19:59:25.7164008Z - diagnostic_context: 2023-07-07T19:59:25.7164218Z - Return value: 2023-07-07T19:59:25.7164644Z [2023-07-07 19:58:55,938] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7164804Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7164809Z 2023-07-07T19:59:25.7165007Z [2023-07-07 19:58:55,938] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7165258Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7165265Z 2023-07-07T19:59:25.7165435Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7165708Z - self: 2023-07-07T19:59:25.7165951Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7166066Z - aten_name: 2023-07-07T19:59:25.7166263Z - function_overloads: 2023-07-07T19:59:25.7166382Z - onnx_args: 2023-07-07T19:59:25.7166566Z - onnx_kwargs: 2023-07-07T19:59:25.7166907Z - diagnostic_context: 2023-07-07T19:59:25.7167108Z - Return value: 2023-07-07T19:59:25.7167418Z [2023-07-07 19:58:56,015] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7167578Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7167585Z 2023-07-07T19:59:25.7167786Z [2023-07-07 19:58:56,015] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7167989Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7167995Z 2023-07-07T19:59:25.7168177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7168448Z - self: 2023-07-07T19:59:25.7168698Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7168810Z - aten_name: 2023-07-07T19:59:25.7168928Z - function_overloads: 2023-07-07T19:59:25.7169044Z - onnx_args: 2023-07-07T19:59:25.7169162Z - onnx_kwargs: 2023-07-07T19:59:25.7169466Z - diagnostic_context: 2023-07-07T19:59:25.7169673Z - Return value: 2023-07-07T19:59:25.7170024Z [2023-07-07 19:58:56,131] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7170185Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7170193Z 2023-07-07T19:59:25.7170387Z [2023-07-07 19:58:56,131] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7170607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7170625Z 2023-07-07T19:59:25.7170795Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7171064Z - self: 2023-07-07T19:59:25.7171307Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7171419Z - aten_name: 2023-07-07T19:59:25.7171551Z - function_overloads: 2023-07-07T19:59:25.7171666Z - onnx_args: 2023-07-07T19:59:25.7171829Z - onnx_kwargs: 2023-07-07T19:59:25.7172236Z - diagnostic_context: 2023-07-07T19:59:25.7172454Z - Return value: 2023-07-07T19:59:25.7172767Z [2023-07-07 19:58:56,226] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7172925Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7172931Z 2023-07-07T19:59:25.7173129Z [2023-07-07 19:58:56,226] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7173364Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7173371Z 2023-07-07T19:59:25.7173557Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7173824Z - self: 2023-07-07T19:59:25.7174064Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7174196Z - aten_name: 2023-07-07T19:59:25.7174333Z - function_overloads: 2023-07-07T19:59:25.7174448Z - onnx_args: 2023-07-07T19:59:25.7174564Z - onnx_kwargs: 2023-07-07T19:59:25.7174867Z - diagnostic_context: 2023-07-07T19:59:25.7175078Z - Return value: 2023-07-07T19:59:25.7175392Z [2023-07-07 19:58:56,314] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7175551Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7175559Z 2023-07-07T19:59:25.7175744Z [2023-07-07 19:58:56,314] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7175946Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7175954Z 2023-07-07T19:59:25.7176137Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7176406Z - self: 2023-07-07T19:59:25.7176649Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7176761Z - aten_name: 2023-07-07T19:59:25.7176896Z - function_overloads: 2023-07-07T19:59:25.7177012Z - onnx_args: 2023-07-07T19:59:25.7177116Z - onnx_kwargs: 2023-07-07T19:59:25.7177451Z - diagnostic_context: 2023-07-07T19:59:25.7177664Z - Return value: 2023-07-07T19:59:25.7177975Z [2023-07-07 19:58:56,395] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7178134Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7178165Z 2023-07-07T19:59:25.7178362Z [2023-07-07 19:58:56,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7178562Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7178568Z 2023-07-07T19:59:25.7178752Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7179017Z - self: 2023-07-07T19:59:25.7179249Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7179363Z - aten_name: 2023-07-07T19:59:25.7179495Z - function_overloads: 2023-07-07T19:59:25.7179611Z - onnx_args: 2023-07-07T19:59:25.7179728Z - onnx_kwargs: 2023-07-07T19:59:25.7180033Z - diagnostic_context: 2023-07-07T19:59:25.7180246Z - Return value: 2023-07-07T19:59:25.7180556Z [2023-07-07 19:58:56,475] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7180701Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7180748Z 2023-07-07T19:59:25.7180946Z [2023-07-07 19:58:56,475] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7181152Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7181158Z 2023-07-07T19:59:25.7181342Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7181607Z - self: 2023-07-07T19:59:25.7181880Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7181996Z - aten_name: 2023-07-07T19:59:25.7182127Z - function_overloads: 2023-07-07T19:59:25.7182242Z - onnx_args: 2023-07-07T19:59:25.7182346Z - onnx_kwargs: 2023-07-07T19:59:25.7182646Z - diagnostic_context: 2023-07-07T19:59:25.7182861Z - Return value: 2023-07-07T19:59:25.7183169Z [2023-07-07 19:58:56,552] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7183327Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7183333Z 2023-07-07T19:59:25.7183528Z [2023-07-07 19:58:56,552] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7183734Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7183742Z 2023-07-07T19:59:25.7183922Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7184175Z - self: 2023-07-07T19:59:25.7184421Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7184534Z - aten_name: 2023-07-07T19:59:25.7184666Z - function_overloads: 2023-07-07T19:59:25.7184781Z - onnx_args: 2023-07-07T19:59:25.7184925Z - onnx_kwargs: 2023-07-07T19:59:25.7185229Z - diagnostic_context: 2023-07-07T19:59:25.7185440Z - Return value: 2023-07-07T19:59:25.7185737Z [2023-07-07 19:58:56,639] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7185925Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7185931Z 2023-07-07T19:59:25.7186127Z [2023-07-07 19:58:56,639] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7186333Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7186339Z 2023-07-07T19:59:25.7186524Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7186794Z - self: 2023-07-07T19:59:25.7187038Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7187151Z - aten_name: 2023-07-07T19:59:25.7187283Z - function_overloads: 2023-07-07T19:59:25.7187387Z - onnx_args: 2023-07-07T19:59:25.7187503Z - onnx_kwargs: 2023-07-07T19:59:25.7187808Z - diagnostic_context: 2023-07-07T19:59:25.7188021Z - Return value: 2023-07-07T19:59:25.7188330Z [2023-07-07 19:58:56,728] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7188525Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7188531Z 2023-07-07T19:59:25.7188728Z [2023-07-07 19:58:56,728] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7188934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7188940Z 2023-07-07T19:59:25.7189122Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7189405Z - self: 2023-07-07T19:59:25.7189648Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7189760Z - aten_name: 2023-07-07T19:59:25.7189891Z - function_overloads: 2023-07-07T19:59:25.7190005Z - onnx_args: 2023-07-07T19:59:25.7190123Z - onnx_kwargs: 2023-07-07T19:59:25.7190425Z - diagnostic_context: 2023-07-07T19:59:25.7190624Z - Return value: 2023-07-07T19:59:25.7190935Z [2023-07-07 19:58:56,818] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7191093Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7191101Z 2023-07-07T19:59:25.7191297Z [2023-07-07 19:58:56,818] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7191503Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7191509Z 2023-07-07T19:59:25.7191692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7191959Z - self: 2023-07-07T19:59:25.7192203Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7192317Z - aten_name: 2023-07-07T19:59:25.7192471Z - function_overloads: 2023-07-07T19:59:25.7192590Z - onnx_args: 2023-07-07T19:59:25.7192710Z - onnx_kwargs: 2023-07-07T19:59:25.7193016Z - diagnostic_context: 2023-07-07T19:59:25.7193231Z - Return value: 2023-07-07T19:59:25.7193541Z [2023-07-07 19:58:56,894] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7193727Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7193733Z 2023-07-07T19:59:25.7193930Z [2023-07-07 19:58:56,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7194121Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7194140Z 2023-07-07T19:59:25.7194314Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7194664Z - self: 2023-07-07T19:59:25.7194914Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7195031Z - aten_name: 2023-07-07T19:59:25.7195165Z - function_overloads: 2023-07-07T19:59:25.7195285Z - onnx_args: 2023-07-07T19:59:25.7195404Z - onnx_kwargs: 2023-07-07T19:59:25.7195699Z - diagnostic_context: 2023-07-07T19:59:25.7195911Z - Return value: 2023-07-07T19:59:25.7196251Z [2023-07-07 19:58:56,971] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7196411Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7196418Z 2023-07-07T19:59:25.7196613Z [2023-07-07 19:58:56,971] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7196813Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7196845Z 2023-07-07T19:59:25.7197028Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7197298Z - self: 2023-07-07T19:59:25.7197541Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7197642Z - aten_name: 2023-07-07T19:59:25.7197773Z - function_overloads: 2023-07-07T19:59:25.7197890Z - onnx_args: 2023-07-07T19:59:25.7198007Z - onnx_kwargs: 2023-07-07T19:59:25.7198311Z - diagnostic_context: 2023-07-07T19:59:25.7198524Z - Return value: 2023-07-07T19:59:25.7198834Z [2023-07-07 19:58:57,046] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7198994Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7199002Z 2023-07-07T19:59:25.7199184Z [2023-07-07 19:58:57,046] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7199386Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7199392Z 2023-07-07T19:59:25.7199578Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7199844Z - self: 2023-07-07T19:59:25.7200114Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7200229Z - aten_name: 2023-07-07T19:59:25.7200361Z - function_overloads: 2023-07-07T19:59:25.7200477Z - onnx_args: 2023-07-07T19:59:25.7200583Z - onnx_kwargs: 2023-07-07T19:59:25.7200889Z - diagnostic_context: 2023-07-07T19:59:25.7201130Z - Return value: 2023-07-07T19:59:25.7201437Z [2023-07-07 19:58:57,138] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7201595Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7201601Z 2023-07-07T19:59:25.7201796Z [2023-07-07 19:58:57,138] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7201995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7202003Z 2023-07-07T19:59:25.7202187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7202451Z - self: 2023-07-07T19:59:25.7202698Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7202801Z - aten_name: 2023-07-07T19:59:25.7202931Z - function_overloads: 2023-07-07T19:59:25.7203046Z - onnx_args: 2023-07-07T19:59:25.7203162Z - onnx_kwargs: 2023-07-07T19:59:25.7203466Z - diagnostic_context: 2023-07-07T19:59:25.7203704Z - Return value: 2023-07-07T19:59:25.7204019Z [2023-07-07 19:58:57,212] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7204166Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7204184Z 2023-07-07T19:59:25.7204367Z [2023-07-07 19:58:57,212] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7204751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7204759Z 2023-07-07T19:59:25.7204943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7205213Z - self: 2023-07-07T19:59:25.7205458Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7205574Z - aten_name: 2023-07-07T19:59:25.7205707Z - function_overloads: 2023-07-07T19:59:25.7205823Z - onnx_args: 2023-07-07T19:59:25.7205927Z - onnx_kwargs: 2023-07-07T19:59:25.7206231Z - diagnostic_context: 2023-07-07T19:59:25.7206443Z - Return value: 2023-07-07T19:59:25.7206749Z [2023-07-07 19:58:57,288] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7206913Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7206919Z 2023-07-07T19:59:25.7207114Z [2023-07-07 19:58:57,289] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7207315Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7207323Z 2023-07-07T19:59:25.7207505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7207834Z - self: 2023-07-07T19:59:25.7208066Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7208180Z - aten_name: 2023-07-07T19:59:25.7208313Z - function_overloads: 2023-07-07T19:59:25.7208431Z - onnx_args: 2023-07-07T19:59:25.7208548Z - onnx_kwargs: 2023-07-07T19:59:25.7208882Z - diagnostic_context: 2023-07-07T19:59:25.7209093Z - Return value: 2023-07-07T19:59:25.7209391Z [2023-07-07 19:58:57,362] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7209550Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7209556Z 2023-07-07T19:59:25.7209751Z [2023-07-07 19:58:57,362] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7209952Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7209958Z 2023-07-07T19:59:25.7210141Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7210411Z - self: 2023-07-07T19:59:25.7210655Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7210769Z - aten_name: 2023-07-07T19:59:25.7210899Z - function_overloads: 2023-07-07T19:59:25.7211002Z - onnx_args: 2023-07-07T19:59:25.7211119Z - onnx_kwargs: 2023-07-07T19:59:25.7211456Z - diagnostic_context: 2023-07-07T19:59:25.7211673Z - Return value: 2023-07-07T19:59:25.7211983Z [2023-07-07 19:58:57,438] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7212142Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7212147Z 2023-07-07T19:59:25.7212381Z [2023-07-07 19:58:57,438] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7212584Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7212589Z 2023-07-07T19:59:25.7212771Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7213025Z - self: 2023-07-07T19:59:25.7213269Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7213383Z - aten_name: 2023-07-07T19:59:25.7213513Z - function_overloads: 2023-07-07T19:59:25.7213630Z - onnx_args: 2023-07-07T19:59:25.7213746Z - onnx_kwargs: 2023-07-07T19:59:25.7214047Z - diagnostic_context: 2023-07-07T19:59:25.7214247Z - Return value: 2023-07-07T19:59:25.7214557Z [2023-07-07 19:58:57,510] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7214716Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7214722Z 2023-07-07T19:59:25.7214917Z [2023-07-07 19:58:57,510] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7215118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7215124Z 2023-07-07T19:59:25.7215334Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7215602Z - self: 2023-07-07T19:59:25.7215846Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7215960Z - aten_name: 2023-07-07T19:59:25.7216077Z - function_overloads: 2023-07-07T19:59:25.7216220Z - onnx_args: 2023-07-07T19:59:25.7216336Z - onnx_kwargs: 2023-07-07T19:59:25.7216635Z - diagnostic_context: 2023-07-07T19:59:25.7216845Z - Return value: 2023-07-07T19:59:25.7217157Z [2023-07-07 19:58:57,591] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7217316Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7217321Z 2023-07-07T19:59:25.7217518Z [2023-07-07 19:58:57,591] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7217717Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7217724Z 2023-07-07T19:59:25.7217894Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7218162Z - self: 2023-07-07T19:59:25.7218405Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7218516Z - aten_name: 2023-07-07T19:59:25.7218647Z - function_overloads: 2023-07-07T19:59:25.7218787Z - onnx_args: 2023-07-07T19:59:25.7218909Z - onnx_kwargs: 2023-07-07T19:59:25.7219209Z - diagnostic_context: 2023-07-07T19:59:25.7219409Z - Return value: 2023-07-07T19:59:25.7219712Z [2023-07-07 19:58:57,680] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7219902Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7219908Z 2023-07-07T19:59:25.7220104Z [2023-07-07 19:58:57,680] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7220304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7220310Z 2023-07-07T19:59:25.7220490Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7220757Z - self: 2023-07-07T19:59:25.7221000Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7221115Z - aten_name: 2023-07-07T19:59:25.7221235Z - function_overloads: 2023-07-07T19:59:25.7221350Z - onnx_args: 2023-07-07T19:59:25.7221466Z - onnx_kwargs: 2023-07-07T19:59:25.7221771Z - diagnostic_context: 2023-07-07T19:59:25.7221982Z - Return value: 2023-07-07T19:59:25.7222291Z [2023-07-07 19:58:57,756] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7222447Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7222452Z 2023-07-07T19:59:25.7222648Z [2023-07-07 19:58:57,756] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7222836Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7222842Z 2023-07-07T19:59:25.7223053Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7223321Z - self: 2023-07-07T19:59:25.7223564Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7223709Z - aten_name: 2023-07-07T19:59:25.7223840Z - function_overloads: 2023-07-07T19:59:25.7223955Z - onnx_args: 2023-07-07T19:59:25.7224070Z - onnx_kwargs: 2023-07-07T19:59:25.7224360Z - diagnostic_context: 2023-07-07T19:59:25.7224571Z - Return value: 2023-07-07T19:59:25.7224879Z [2023-07-07 19:58:57,834] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7225038Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7225044Z 2023-07-07T19:59:25.7225239Z [2023-07-07 19:58:57,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7225441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7225451Z 2023-07-07T19:59:25.7225632Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7225901Z - self: 2023-07-07T19:59:25.7226144Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7226295Z - aten_name: 2023-07-07T19:59:25.7226428Z - function_overloads: 2023-07-07T19:59:25.7226543Z - onnx_args: 2023-07-07T19:59:25.7226659Z - onnx_kwargs: 2023-07-07T19:59:25.7226963Z - diagnostic_context: 2023-07-07T19:59:25.7227174Z - Return value: 2023-07-07T19:59:25.7227483Z [2023-07-07 19:58:57,920] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7227672Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7227680Z 2023-07-07T19:59:25.7227863Z [2023-07-07 19:58:57,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7228067Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7228074Z 2023-07-07T19:59:25.7228259Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7228527Z - self: 2023-07-07T19:59:25.7228771Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7228884Z - aten_name: 2023-07-07T19:59:25.7229015Z - function_overloads: 2023-07-07T19:59:25.7229131Z - onnx_args: 2023-07-07T19:59:25.7229235Z - onnx_kwargs: 2023-07-07T19:59:25.7229535Z - diagnostic_context: 2023-07-07T19:59:25.7229748Z - Return value: 2023-07-07T19:59:25.7230055Z [2023-07-07 19:58:57,995] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7230217Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7230222Z 2023-07-07T19:59:25.7230418Z [2023-07-07 19:58:57,995] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7230648Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7230654Z 2023-07-07T19:59:25.7230837Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7231105Z - self: 2023-07-07T19:59:25.7231366Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7231479Z - aten_name: 2023-07-07T19:59:25.7231612Z - function_overloads: 2023-07-07T19:59:25.7231726Z - onnx_args: 2023-07-07T19:59:25.7231844Z - onnx_kwargs: 2023-07-07T19:59:25.7232144Z - diagnostic_context: 2023-07-07T19:59:25.7237416Z - Return value: 2023-07-07T19:59:25.7237808Z [2023-07-07 19:58:58,086] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7237976Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7237983Z 2023-07-07T19:59:25.7238191Z [2023-07-07 19:58:58,086] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7238401Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7238411Z 2023-07-07T19:59:25.7238598Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7238873Z - self: 2023-07-07T19:59:25.7239207Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7239328Z - aten_name: 2023-07-07T19:59:25.7239463Z - function_overloads: 2023-07-07T19:59:25.7239583Z - onnx_args: 2023-07-07T19:59:25.7239701Z - onnx_kwargs: 2023-07-07T19:59:25.7240009Z - diagnostic_context: 2023-07-07T19:59:25.7240224Z - Return value: 2023-07-07T19:59:25.7240572Z [2023-07-07 19:58:58,158] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7240722Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7240747Z 2023-07-07T19:59:25.7240932Z [2023-07-07 19:58:58,158] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7241140Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7241147Z 2023-07-07T19:59:25.7241331Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7241606Z - self: 2023-07-07T19:59:25.7241850Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7241969Z - aten_name: 2023-07-07T19:59:25.7242103Z - function_overloads: 2023-07-07T19:59:25.7242222Z - onnx_args: 2023-07-07T19:59:25.7242329Z - onnx_kwargs: 2023-07-07T19:59:25.7242637Z - diagnostic_context: 2023-07-07T19:59:25.7242955Z - Return value: 2023-07-07T19:59:25.7243294Z [2023-07-07 19:58:58,227] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7243455Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7243461Z 2023-07-07T19:59:25.7243711Z [2023-07-07 19:58:58,228] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7243917Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7243923Z 2023-07-07T19:59:25.7244112Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7244528Z - self: 2023-07-07T19:59:25.7244762Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7244877Z - aten_name: 2023-07-07T19:59:25.7245010Z - function_overloads: 2023-07-07T19:59:25.7245131Z - onnx_args: 2023-07-07T19:59:25.7245250Z - onnx_kwargs: 2023-07-07T19:59:25.7245555Z - diagnostic_context: 2023-07-07T19:59:25.7245769Z - Return value: 2023-07-07T19:59:25.7246068Z [2023-07-07 19:58:58,320] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7246227Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7246236Z 2023-07-07T19:59:25.7246436Z [2023-07-07 19:58:58,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7246643Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7246649Z 2023-07-07T19:59:25.7246835Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7247164Z - self: 2023-07-07T19:59:25.7247412Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7247529Z - aten_name: 2023-07-07T19:59:25.7247664Z - function_overloads: 2023-07-07T19:59:25.7247766Z - onnx_args: 2023-07-07T19:59:25.7247887Z - onnx_kwargs: 2023-07-07T19:59:25.7248192Z - diagnostic_context: 2023-07-07T19:59:25.7248443Z - Return value: 2023-07-07T19:59:25.7248755Z [2023-07-07 19:58:58,376] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7248914Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7248921Z 2023-07-07T19:59:25.7249121Z [2023-07-07 19:58:58,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7249325Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7249333Z 2023-07-07T19:59:25.7249519Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7249774Z - self: 2023-07-07T19:59:25.7250021Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7250136Z - aten_name: 2023-07-07T19:59:25.7250270Z - function_overloads: 2023-07-07T19:59:25.7250387Z - onnx_args: 2023-07-07T19:59:25.7250506Z - onnx_kwargs: 2023-07-07T19:59:25.7250811Z - diagnostic_context: 2023-07-07T19:59:25.7251012Z - Return value: 2023-07-07T19:59:25.7251324Z [2023-07-07 19:58:58,430] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7251521Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7251528Z 2023-07-07T19:59:25.7251728Z [2023-07-07 19:58:58,430] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7251929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7251938Z 2023-07-07T19:59:25.7252157Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7252427Z - self: 2023-07-07T19:59:25.7252672Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7252786Z - aten_name: 2023-07-07T19:59:25.7252908Z - function_overloads: 2023-07-07T19:59:25.7253024Z - onnx_args: 2023-07-07T19:59:25.7253141Z - onnx_kwargs: 2023-07-07T19:59:25.7253479Z - diagnostic_context: 2023-07-07T19:59:25.7253795Z - Return value: 2023-07-07T19:59:25.7254131Z [2023-07-07 19:58:58,486] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7254293Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7254302Z 2023-07-07T19:59:25.7254499Z [2023-07-07 19:58:58,486] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7254688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7254707Z 2023-07-07T19:59:25.7254917Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7255189Z - self: 2023-07-07T19:59:25.7255434Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7255550Z - aten_name: 2023-07-07T19:59:25.7255683Z - function_overloads: 2023-07-07T19:59:25.7255799Z - onnx_args: 2023-07-07T19:59:25.7255944Z - onnx_kwargs: 2023-07-07T19:59:25.7256234Z - diagnostic_context: 2023-07-07T19:59:25.7256451Z - Return value: 2023-07-07T19:59:25.7256765Z [2023-07-07 19:58:58,539] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7256926Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7256932Z 2023-07-07T19:59:25.7257128Z [2023-07-07 19:58:58,539] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7257334Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7257340Z 2023-07-07T19:59:25.7257523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7257792Z - self: 2023-07-07T19:59:25.7258037Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7258153Z - aten_name: 2023-07-07T19:59:25.7258272Z - function_overloads: 2023-07-07T19:59:25.7258388Z - onnx_args: 2023-07-07T19:59:25.7258505Z - onnx_kwargs: 2023-07-07T19:59:25.7258812Z - diagnostic_context: 2023-07-07T19:59:25.7259024Z - Return value: 2023-07-07T19:59:25.7259365Z [2023-07-07 19:58:58,594] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7259527Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7259533Z 2023-07-07T19:59:25.7259729Z [2023-07-07 19:58:58,594] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7259919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7259952Z 2023-07-07T19:59:25.7260137Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7260403Z - self: 2023-07-07T19:59:25.7260652Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7260766Z - aten_name: 2023-07-07T19:59:25.7260897Z - function_overloads: 2023-07-07T19:59:25.7261014Z - onnx_args: 2023-07-07T19:59:25.7261132Z - onnx_kwargs: 2023-07-07T19:59:25.7261426Z - diagnostic_context: 2023-07-07T19:59:25.7261638Z - Return value: 2023-07-07T19:59:25.7261951Z [2023-07-07 19:58:58,647] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7262112Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7262117Z 2023-07-07T19:59:25.7262315Z [2023-07-07 19:58:58,647] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7262545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7262551Z 2023-07-07T19:59:25.7262736Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7263008Z - self: 2023-07-07T19:59:25.7263250Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7263351Z - aten_name: 2023-07-07T19:59:25.7263513Z - function_overloads: 2023-07-07T19:59:25.7263629Z - onnx_args: 2023-07-07T19:59:25.7263749Z - onnx_kwargs: 2023-07-07T19:59:25.7264051Z - diagnostic_context: 2023-07-07T19:59:25.7264263Z - Return value: 2023-07-07T19:59:25.7264576Z [2023-07-07 19:58:58,704] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7264720Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7264739Z 2023-07-07T19:59:25.7264926Z [2023-07-07 19:58:58,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7265128Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7265134Z 2023-07-07T19:59:25.7265316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7265584Z - self: 2023-07-07T19:59:25.7265828Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7265942Z - aten_name: 2023-07-07T19:59:25.7266077Z - function_overloads: 2023-07-07T19:59:25.7266193Z - onnx_args: 2023-07-07T19:59:25.7266298Z - onnx_kwargs: 2023-07-07T19:59:25.7266602Z - diagnostic_context: 2023-07-07T19:59:25.7266851Z - Return value: 2023-07-07T19:59:25.7267236Z [2023-07-07 19:58:58,760] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7267397Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7267407Z 2023-07-07T19:59:25.7267606Z [2023-07-07 19:58:58,760] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7267840Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7267846Z 2023-07-07T19:59:25.7268031Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7268303Z - self: 2023-07-07T19:59:25.7268531Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7268646Z - aten_name: 2023-07-07T19:59:25.7268780Z - function_overloads: 2023-07-07T19:59:25.7268896Z - onnx_args: 2023-07-07T19:59:25.7269015Z - onnx_kwargs: 2023-07-07T19:59:25.7269318Z - diagnostic_context: 2023-07-07T19:59:25.7269530Z - Return value: 2023-07-07T19:59:25.7269830Z [2023-07-07 19:58:58,823] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7269989Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7269994Z 2023-07-07T19:59:25.7270218Z [2023-07-07 19:58:58,823] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7270422Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7270429Z 2023-07-07T19:59:25.7270615Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7270883Z - self: 2023-07-07T19:59:25.7271126Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7271271Z - aten_name: 2023-07-07T19:59:25.7271408Z - function_overloads: 2023-07-07T19:59:25.7271510Z - onnx_args: 2023-07-07T19:59:25.7271628Z - onnx_kwargs: 2023-07-07T19:59:25.7271933Z - diagnostic_context: 2023-07-07T19:59:25.7272144Z - Return value: 2023-07-07T19:59:25.7272459Z [2023-07-07 19:58:58,876] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7272620Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7272626Z 2023-07-07T19:59:25.7272822Z [2023-07-07 19:58:58,876] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7273027Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7273035Z 2023-07-07T19:59:25.7273218Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7273473Z - self: 2023-07-07T19:59:25.7273715Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7273828Z - aten_name: 2023-07-07T19:59:25.7273963Z - function_overloads: 2023-07-07T19:59:25.7274080Z - onnx_args: 2023-07-07T19:59:25.7274196Z - onnx_kwargs: 2023-07-07T19:59:25.7274603Z - diagnostic_context: 2023-07-07T19:59:25.7274812Z - Return value: 2023-07-07T19:59:25.7275122Z [2023-07-07 19:58:58,947] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7275283Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7275319Z 2023-07-07T19:59:25.7275518Z [2023-07-07 19:58:58,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7275723Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7275728Z 2023-07-07T19:59:25.7275914Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7276183Z - self: 2023-07-07T19:59:25.7276428Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7276542Z - aten_name: 2023-07-07T19:59:25.7276662Z - function_overloads: 2023-07-07T19:59:25.7276777Z - onnx_args: 2023-07-07T19:59:25.7276897Z - onnx_kwargs: 2023-07-07T19:59:25.7277201Z - diagnostic_context: 2023-07-07T19:59:25.7277419Z - Return value: 2023-07-07T19:59:25.7277727Z [2023-07-07 19:58:59,001] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7277915Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7277921Z 2023-07-07T19:59:25.7278120Z [2023-07-07 19:58:59,002] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7278327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7278333Z 2023-07-07T19:59:25.7278503Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7278769Z - self: 2023-07-07T19:59:25.7279041Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7279157Z - aten_name: 2023-07-07T19:59:25.7279290Z - function_overloads: 2023-07-07T19:59:25.7279406Z - onnx_args: 2023-07-07T19:59:25.7279523Z - onnx_kwargs: 2023-07-07T19:59:25.7279826Z - diagnostic_context: 2023-07-07T19:59:25.7280027Z - Return value: 2023-07-07T19:59:25.7280338Z [2023-07-07 19:58:59,056] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7280499Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7280504Z 2023-07-07T19:59:25.7280703Z [2023-07-07 19:58:59,056] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7280909Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7280917Z 2023-07-07T19:59:25.7281103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7281372Z - self: 2023-07-07T19:59:25.7281618Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7281732Z - aten_name: 2023-07-07T19:59:25.7281851Z - function_overloads: 2023-07-07T19:59:25.7281968Z - onnx_args: 2023-07-07T19:59:25.7282116Z - onnx_kwargs: 2023-07-07T19:59:25.7282420Z - diagnostic_context: 2023-07-07T19:59:25.7282633Z - Return value: 2023-07-07T19:59:25.7282946Z [2023-07-07 19:58:59,110] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7283131Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7283137Z 2023-07-07T19:59:25.7283334Z [2023-07-07 19:58:59,110] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7283527Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7283532Z 2023-07-07T19:59:25.7283716Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7283984Z - self: 2023-07-07T19:59:25.7284228Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7284343Z - aten_name: 2023-07-07T19:59:25.7284625Z - function_overloads: 2023-07-07T19:59:25.7284775Z - onnx_args: 2023-07-07T19:59:25.7284898Z - onnx_kwargs: 2023-07-07T19:59:25.7285187Z - diagnostic_context: 2023-07-07T19:59:25.7285398Z - Return value: 2023-07-07T19:59:25.7285765Z [2023-07-07 19:58:59,182] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7285925Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7285931Z 2023-07-07T19:59:25.7286130Z [2023-07-07 19:58:59,182] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7286334Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7286340Z 2023-07-07T19:59:25.7286523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7286834Z - self: 2023-07-07T19:59:25.7287080Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7287183Z - aten_name: 2023-07-07T19:59:25.7287317Z - function_overloads: 2023-07-07T19:59:25.7287433Z - onnx_args: 2023-07-07T19:59:25.7287553Z - onnx_kwargs: 2023-07-07T19:59:25.7287858Z - diagnostic_context: 2023-07-07T19:59:25.7288069Z - Return value: 2023-07-07T19:59:25.7288382Z [2023-07-07 19:58:59,255] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7288542Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7288550Z 2023-07-07T19:59:25.7288736Z [2023-07-07 19:58:59,255] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7288943Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7288949Z 2023-07-07T19:59:25.7289136Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7289409Z - self: 2023-07-07T19:59:25.7289655Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7289769Z - aten_name: 2023-07-07T19:59:25.7289935Z - function_overloads: 2023-07-07T19:59:25.7290054Z - onnx_args: 2023-07-07T19:59:25.7290157Z - onnx_kwargs: 2023-07-07T19:59:25.7290461Z - diagnostic_context: 2023-07-07T19:59:25.7290676Z - Return value: 2023-07-07T19:59:25.7291050Z [2023-07-07 19:58:59,335] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7291210Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7291216Z 2023-07-07T19:59:25.7291412Z [2023-07-07 19:58:59,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7291617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7291623Z 2023-07-07T19:59:25.7291808Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7292076Z - self: 2023-07-07T19:59:25.7292306Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7292424Z - aten_name: 2023-07-07T19:59:25.7292560Z - function_overloads: 2023-07-07T19:59:25.7292678Z - onnx_args: 2023-07-07T19:59:25.7292798Z - onnx_kwargs: 2023-07-07T19:59:25.7293103Z - diagnostic_context: 2023-07-07T19:59:25.7293315Z - Return value: 2023-07-07T19:59:25.7293665Z [2023-07-07 19:58:59,408] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7293811Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7293819Z 2023-07-07T19:59:25.7294016Z [2023-07-07 19:58:59,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7294218Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7294251Z 2023-07-07T19:59:25.7294437Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7294709Z - self: 2023-07-07T19:59:25.7294953Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7295067Z - aten_name: 2023-07-07T19:59:25.7295204Z - function_overloads: 2023-07-07T19:59:25.7295307Z - onnx_args: 2023-07-07T19:59:25.7295424Z - onnx_kwargs: 2023-07-07T19:59:25.7295731Z - diagnostic_context: 2023-07-07T19:59:25.7295943Z - Return value: 2023-07-07T19:59:25.7296254Z [2023-07-07 19:58:59,487] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7296416Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7296424Z 2023-07-07T19:59:25.7296622Z [2023-07-07 19:58:59,487] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7296823Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7296829Z 2023-07-07T19:59:25.7297012Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7297266Z - self: 2023-07-07T19:59:25.7297536Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7297652Z - aten_name: 2023-07-07T19:59:25.7297785Z - function_overloads: 2023-07-07T19:59:25.7297902Z - onnx_args: 2023-07-07T19:59:25.7298019Z - onnx_kwargs: 2023-07-07T19:59:25.7298325Z - diagnostic_context: 2023-07-07T19:59:25.7298567Z - Return value: 2023-07-07T19:59:25.7298864Z [2023-07-07 19:58:59,572] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7299024Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7299032Z 2023-07-07T19:59:25.7299230Z [2023-07-07 19:58:59,572] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7299435Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7299441Z 2023-07-07T19:59:25.7299626Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7299896Z - self: 2023-07-07T19:59:25.7300142Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7300262Z - aten_name: 2023-07-07T19:59:25.7300395Z - function_overloads: 2023-07-07T19:59:25.7300497Z - onnx_args: 2023-07-07T19:59:25.7300613Z - onnx_kwargs: 2023-07-07T19:59:25.7300918Z - diagnostic_context: 2023-07-07T19:59:25.7301155Z - Return value: 2023-07-07T19:59:25.7301470Z [2023-07-07 19:58:59,638] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7301632Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7301638Z 2023-07-07T19:59:25.7301835Z [2023-07-07 19:58:59,638] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7302064Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7302072Z 2023-07-07T19:59:25.7302241Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7302509Z - self: 2023-07-07T19:59:25.7302757Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7302873Z - aten_name: 2023-07-07T19:59:25.7303007Z - function_overloads: 2023-07-07T19:59:25.7303122Z - onnx_args: 2023-07-07T19:59:25.7303242Z - onnx_kwargs: 2023-07-07T19:59:25.7303547Z - diagnostic_context: 2023-07-07T19:59:25.7303744Z - Return value: 2023-07-07T19:59:25.7304056Z [2023-07-07 19:58:59,732] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7304217Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7304223Z 2023-07-07T19:59:25.7304420Z [2023-07-07 19:58:59,732] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7304622Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7304630Z 2023-07-07T19:59:25.7304812Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7305105Z - self: 2023-07-07T19:59:25.7305350Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7305463Z - aten_name: 2023-07-07T19:59:25.7305584Z - function_overloads: 2023-07-07T19:59:25.7305704Z - onnx_args: 2023-07-07T19:59:25.7305821Z - onnx_kwargs: 2023-07-07T19:59:25.7306152Z - diagnostic_context: 2023-07-07T19:59:25.7306363Z - Return value: 2023-07-07T19:59:25.7306673Z [2023-07-07 19:58:59,809] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7306836Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7306842Z 2023-07-07T19:59:25.7307037Z [2023-07-07 19:58:59,810] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7307227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7307246Z 2023-07-07T19:59:25.7307415Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7307682Z - self: 2023-07-07T19:59:25.7307926Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7308041Z - aten_name: 2023-07-07T19:59:25.7308175Z - function_overloads: 2023-07-07T19:59:25.7308290Z - onnx_args: 2023-07-07T19:59:25.7308407Z - onnx_kwargs: 2023-07-07T19:59:25.7308722Z - diagnostic_context: 2023-07-07T19:59:25.7308936Z - Return value: 2023-07-07T19:59:25.7309247Z [2023-07-07 19:58:59,884] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7309408Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7309443Z 2023-07-07T19:59:25.7309642Z [2023-07-07 19:58:59,884] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7309847Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7309853Z 2023-07-07T19:59:25.7310034Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7310304Z - self: 2023-07-07T19:59:25.7310547Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7310647Z - aten_name: 2023-07-07T19:59:25.7310783Z - function_overloads: 2023-07-07T19:59:25.7310900Z - onnx_args: 2023-07-07T19:59:25.7311018Z - onnx_kwargs: 2023-07-07T19:59:25.7311322Z - diagnostic_context: 2023-07-07T19:59:25.7311535Z - Return value: 2023-07-07T19:59:25.7311847Z [2023-07-07 19:58:59,961] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7312009Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7312014Z 2023-07-07T19:59:25.7312198Z [2023-07-07 19:58:59,961] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7312403Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7312409Z 2023-07-07T19:59:25.7312619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7312889Z - self: 2023-07-07T19:59:25.7313130Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7313246Z - aten_name: 2023-07-07T19:59:25.7313379Z - function_overloads: 2023-07-07T19:59:25.7313532Z - onnx_args: 2023-07-07T19:59:25.7313637Z - onnx_kwargs: 2023-07-07T19:59:25.7313939Z - diagnostic_context: 2023-07-07T19:59:25.7314153Z - Return value: 2023-07-07T19:59:25.7314549Z [2023-07-07 19:59:00,037] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7314714Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7314719Z 2023-07-07T19:59:25.7314922Z [2023-07-07 19:59:00,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7315123Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7315131Z 2023-07-07T19:59:25.7315314Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7315586Z - self: 2023-07-07T19:59:25.7315829Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7315929Z - aten_name: 2023-07-07T19:59:25.7316061Z - function_overloads: 2023-07-07T19:59:25.7316208Z - onnx_args: 2023-07-07T19:59:25.7316328Z - onnx_kwargs: 2023-07-07T19:59:25.7316634Z - diagnostic_context: 2023-07-07T19:59:25.7316846Z - Return value: 2023-07-07T19:59:25.7317156Z [2023-07-07 19:59:00,114] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7317334Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7317356Z 2023-07-07T19:59:25.7317540Z [2023-07-07 19:59:00,114] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7317745Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7317750Z 2023-07-07T19:59:25.7317937Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7318206Z - self: 2023-07-07T19:59:25.7318452Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7318568Z - aten_name: 2023-07-07T19:59:25.7318701Z - function_overloads: 2023-07-07T19:59:25.7318817Z - onnx_args: 2023-07-07T19:59:25.7318921Z - onnx_kwargs: 2023-07-07T19:59:25.7319226Z - diagnostic_context: 2023-07-07T19:59:25.7319441Z - Return value: 2023-07-07T19:59:25.7319751Z [2023-07-07 19:59:00,194] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool3d_with_indices.default[name=max_pool3d_with_indices]. 2023-07-07T19:59:25.7319910Z ONNX Node: aten_max_pool3d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7319916Z 2023-07-07T19:59:25.7320116Z [2023-07-07 19:59:00,194] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7320320Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7320364Z 2023-07-07T19:59:25.7320551Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7320817Z - self: 2023-07-07T19:59:25.7321050Z - node: fx.Node(max_pool3d_with_indices[call_function]'aten.max_pool3d_with_indices.default') 2023-07-07T19:59:25.7321199Z - aten_name: 2023-07-07T19:59:25.7321333Z - function_overloads: 2023-07-07T19:59:25.7321450Z - onnx_args: 2023-07-07T19:59:25.7321567Z - onnx_kwargs: 2023-07-07T19:59:25.7321872Z - diagnostic_context: 2023-07-07T19:59:25.7322086Z - Return value: 2023-07-07T19:59:25.7322285Z SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7322667Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7323016Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7323367Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7323740Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7324091Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7324566Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7324912Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7325261Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7325603Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7325945Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7326289Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7326677Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7327020Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7327360Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7327736Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7328076Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7328419Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7328758Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7329117Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7329458Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7329794Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7330172Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7330515Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7330855Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7331192Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7331532Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7331871Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7332235Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7332575Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7332940Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7333282Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7333620Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7333959Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7334298Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7334662Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7335002Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7335338Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7335704Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7336042Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7336367Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7336704Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7337044Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7337382Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After 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https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7366958Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7367327Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7367666Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7368035Z 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https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7371787Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7372124Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 SUBSKIP [0.0000s] (FIXME: After https://github.com/microsoft/onnxruntime/issues/15446 is fixed) [ 87%] 2023-07-07T19:59:25.7372384Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_max_pool3d_cpu_float32 PASSED [34.5797s] [ 87%] 2023-07-07T19:59:25.7372800Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7373193Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7373607Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7373996Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 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onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7375948Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7376357Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7376743Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7377124Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7377506Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7377931Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7378321Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7378702Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7379114Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7379496Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7379878Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7380258Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7380644Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7381049Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7381432Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7381844Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7382227Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7382606Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7382995Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7383408Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7383778Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7384203Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7384588Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7384970Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7385351Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7385736Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7386143Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7386525Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7386908Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7387316Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7387697Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7388076Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7388486Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7388866Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7389246Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7389655Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7390038Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7390417Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7390800Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7391184Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7391588Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7391964Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7392371Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7392751Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7393130Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7393510Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7393920Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7394301Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7394775Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7395188Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7395572Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7395954Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 SUBSKIP [0.0000s] (string in reduction kwarg: https://github.com/microsoft/onnxscript/issues/726 on dtypes not supported by ONNX script) [ 87%] 2023-07-07T19:59:25.7396213Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_nll_loss_cpu_float32 PASSED [0.0723s] [ 87%] 2023-07-07T19:59:25.7396729Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_bool [2023-07-07 19:59:00,415] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7396875Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7396881Z 2023-07-07T19:59:25.7397123Z [2023-07-07 19:59:00,415] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7397331Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7397337Z 2023-07-07T19:59:25.7397521Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7397795Z - self: 2023-07-07T19:59:25.7398033Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7398147Z - aten_name: 2023-07-07T19:59:25.7398280Z - function_overloads: 2023-07-07T19:59:25.7398388Z - onnx_args: 2023-07-07T19:59:25.7398507Z - onnx_kwargs: 2023-07-07T19:59:25.7398816Z - diagnostic_context: 2023-07-07T19:59:25.7398980Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7399257Z [2023-07-07 19:59:00,494] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7399402Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7399408Z 2023-07-07T19:59:25.7399607Z [2023-07-07 19:59:00,494] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7399816Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7399823Z 2023-07-07T19:59:25.7399995Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7400265Z - self: 2023-07-07T19:59:25.7400499Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7400616Z - aten_name: 2023-07-07T19:59:25.7400749Z - function_overloads: 2023-07-07T19:59:25.7400864Z - onnx_args: 2023-07-07T19:59:25.7400984Z - onnx_kwargs: 2023-07-07T19:59:25.7401290Z - diagnostic_context: 2023-07-07T19:59:25.7401439Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7401737Z [2023-07-07 19:59:00,584] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7401885Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7401890Z 2023-07-07T19:59:25.7402088Z [2023-07-07 19:59:00,584] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7402292Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7402300Z 2023-07-07T19:59:25.7402483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7402755Z - self: 2023-07-07T19:59:25.7402957Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7403070Z - aten_name: 2023-07-07T19:59:25.7403190Z - function_overloads: 2023-07-07T19:59:25.7403308Z - onnx_args: 2023-07-07T19:59:25.7403425Z - onnx_kwargs: 2023-07-07T19:59:25.7403734Z - diagnostic_context: 2023-07-07T19:59:25.7403895Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7404168Z [2023-07-07 19:59:00,698] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7404314Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7404320Z 2023-07-07T19:59:25.7404603Z [2023-07-07 19:59:00,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7404856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7404862Z 2023-07-07T19:59:25.7405048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7405319Z - self: 2023-07-07T19:59:25.7405525Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7405671Z - aten_name: 2023-07-07T19:59:25.7405806Z - function_overloads: 2023-07-07T19:59:25.7405921Z - onnx_args: 2023-07-07T19:59:25.7406026Z - onnx_kwargs: 2023-07-07T19:59:25.7406335Z - diagnostic_context: 2023-07-07T19:59:25.7406496Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7406770Z [2023-07-07 19:59:00,791] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7406916Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7406921Z 2023-07-07T19:59:25.7407119Z [2023-07-07 19:59:00,791] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7407322Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7407332Z 2023-07-07T19:59:25.7407515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7407783Z - self: 2023-07-07T19:59:25.7407968Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7408118Z - aten_name: 2023-07-07T19:59:25.7408255Z - function_overloads: 2023-07-07T19:59:25.7408374Z - onnx_args: 2023-07-07T19:59:25.7408491Z - onnx_kwargs: 2023-07-07T19:59:25.7408801Z - diagnostic_context: 2023-07-07T19:59:25.7408963Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7409234Z [2023-07-07 19:59:00,906] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7409415Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7409423Z 2023-07-07T19:59:25.7409622Z [2023-07-07 19:59:00,906] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7409825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7409831Z 2023-07-07T19:59:25.7410015Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7410282Z - self: 2023-07-07T19:59:25.7410487Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7410602Z - aten_name: 2023-07-07T19:59:25.7410736Z - function_overloads: 2023-07-07T19:59:25.7410839Z - onnx_args: 2023-07-07T19:59:25.7410956Z - onnx_kwargs: 2023-07-07T19:59:25.7411264Z - diagnostic_context: 2023-07-07T19:59:25.7411427Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7411703Z [2023-07-07 19:59:00,986] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7411848Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7411855Z 2023-07-07T19:59:25.7412056Z [2023-07-07 19:59:00,987] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7412259Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7412265Z 2023-07-07T19:59:25.7412484Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7412740Z - self: 2023-07-07T19:59:25.7412944Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7413060Z - aten_name: 2023-07-07T19:59:25.7413223Z - function_overloads: 2023-07-07T19:59:25.7413340Z - onnx_args: 2023-07-07T19:59:25.7413458Z - onnx_kwargs: 2023-07-07T19:59:25.7413765Z - diagnostic_context: 2023-07-07T19:59:25.7413913Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7414799Z 2023-07-07 19:59:00.990809129 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x8edfed0_n0' Status Message: /onnxruntime_src/onnxruntime/core/providers/common.h:23 int64_t onnxruntime::HandleNegativeAxis(int64_t, int64_t) axis >= -tensor_rank && axis <= tensor_rank - 1 was false. axis 0 is not in valid range [-0,-1] 2023-07-07T19:59:25.7414820Z 2023-07-07T19:59:25.7415084Z XFAIL [0.0000s] (fixme: Rank(0) input will lead ORT failed due to different rank(result) in if-else branch) [ 87%] 2023-07-07T19:59:25.7415334Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_bool PASSED [0.6444s] [ 87%] 2023-07-07T19:59:25.7415838Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_float16 [2023-07-07 19:59:01,084] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7416018Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7416024Z 2023-07-07T19:59:25.7416225Z [2023-07-07 19:59:01,085] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7416430Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7416436Z 2023-07-07T19:59:25.7416620Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7416921Z - self: 2023-07-07T19:59:25.7417128Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7417244Z - aten_name: 2023-07-07T19:59:25.7417364Z - function_overloads: 2023-07-07T19:59:25.7417480Z - onnx_args: 2023-07-07T19:59:25.7417601Z - onnx_kwargs: 2023-07-07T19:59:25.7417910Z - diagnostic_context: 2023-07-07T19:59:25.7418074Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7418677Z 2023-07-07 19:59:01.088672337 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x959b120_n0' Status Message: CPU execution provider: MLFloat16 data type is not supported with ScatterElements opset 16 when reduction is 'add'. 2023-07-07T19:59:25.7418758Z XFAIL [0.0936s] [ 87%] 2023-07-07T19:59:25.7419256Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_float32 [2023-07-07 19:59:01,184] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7419389Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7419408Z 2023-07-07T19:59:25.7419596Z [2023-07-07 19:59:01,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7419799Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7419805Z 2023-07-07T19:59:25.7420021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7420294Z - self: 2023-07-07T19:59:25.7420495Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7420612Z - aten_name: 2023-07-07T19:59:25.7420746Z - function_overloads: 2023-07-07T19:59:25.7420896Z - onnx_args: 2023-07-07T19:59:25.7421000Z - onnx_kwargs: 2023-07-07T19:59:25.7421307Z - diagnostic_context: 2023-07-07T19:59:25.7421470Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7421743Z [2023-07-07 19:59:01,270] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7421888Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7421894Z 2023-07-07T19:59:25.7422094Z [2023-07-07 19:59:01,270] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7422296Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7422304Z 2023-07-07T19:59:25.7422499Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7422757Z - self: 2023-07-07T19:59:25.7422959Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7423074Z - aten_name: 2023-07-07T19:59:25.7423205Z - function_overloads: 2023-07-07T19:59:25.7423323Z - onnx_args: 2023-07-07T19:59:25.7423483Z - onnx_kwargs: 2023-07-07T19:59:25.7423790Z - diagnostic_context: 2023-07-07T19:59:25.7423954Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7424215Z [2023-07-07 19:59:01,356] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7424363Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7424394Z 2023-07-07T19:59:25.7424595Z [2023-07-07 19:59:01,356] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7424800Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7424806Z 2023-07-07T19:59:25.7424992Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7425264Z - self: 2023-07-07T19:59:25.7425466Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7425579Z - aten_name: 2023-07-07T19:59:25.7425699Z - function_overloads: 2023-07-07T19:59:25.7425817Z - onnx_args: 2023-07-07T19:59:25.7425936Z - onnx_kwargs: 2023-07-07T19:59:25.7426242Z - diagnostic_context: 2023-07-07T19:59:25.7426410Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7426679Z [2023-07-07 19:59:01,440] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7426826Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7426831Z 2023-07-07T19:59:25.7427027Z [2023-07-07 19:59:01,441] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7427216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7427236Z 2023-07-07T19:59:25.7427407Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7427702Z - self: 2023-07-07T19:59:25.7427907Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7428021Z - aten_name: 2023-07-07T19:59:25.7428157Z - function_overloads: 2023-07-07T19:59:25.7428272Z - onnx_args: 2023-07-07T19:59:25.7428418Z - onnx_kwargs: 2023-07-07T19:59:25.7428710Z - diagnostic_context: 2023-07-07T19:59:25.7428872Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7429145Z [2023-07-07 19:59:01,496] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7429292Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7429298Z 2023-07-07T19:59:25.7429497Z [2023-07-07 19:59:01,496] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7429706Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7429711Z 2023-07-07T19:59:25.7429895Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7430168Z - self: 2023-07-07T19:59:25.7430371Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7430472Z - aten_name: 2023-07-07T19:59:25.7430605Z - function_overloads: 2023-07-07T19:59:25.7430722Z - onnx_args: 2023-07-07T19:59:25.7430840Z - onnx_kwargs: 2023-07-07T19:59:25.7431175Z - diagnostic_context: 2023-07-07T19:59:25.7431340Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7431612Z [2023-07-07 19:59:01,555] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7431757Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7431764Z 2023-07-07T19:59:25.7431947Z [2023-07-07 19:59:01,555] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7432179Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7432187Z 2023-07-07T19:59:25.7432368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7432636Z - self: 2023-07-07T19:59:25.7432840Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7432956Z - aten_name: 2023-07-07T19:59:25.7433089Z - function_overloads: 2023-07-07T19:59:25.7433205Z - onnx_args: 2023-07-07T19:59:25.7433311Z - onnx_kwargs: 2023-07-07T19:59:25.7433617Z - diagnostic_context: 2023-07-07T19:59:25.7433779Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7434052Z [2023-07-07 19:59:01,606] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7434202Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7434207Z 2023-07-07T19:59:25.7434406Z [2023-07-07 19:59:01,606] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7434692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7434698Z 2023-07-07T19:59:25.7434885Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7435155Z - self: 2023-07-07T19:59:25.7435380Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7435496Z - aten_name: 2023-07-07T19:59:25.7435630Z - function_overloads: 2023-07-07T19:59:25.7435747Z - onnx_args: 2023-07-07T19:59:25.7435867Z - onnx_kwargs: 2023-07-07T19:59:25.7436173Z - diagnostic_context: 2023-07-07T19:59:25.7436365Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7437222Z 2023-07-07 19:59:01.609406751 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x8edfed0_n0' Status Message: /onnxruntime_src/onnxruntime/core/providers/common.h:23 int64_t onnxruntime::HandleNegativeAxis(int64_t, int64_t) axis >= -tensor_rank && axis <= tensor_rank - 1 was false. axis 0 is not in valid range [-0,-1] 2023-07-07T19:59:25.7437230Z 2023-07-07T19:59:25.7437511Z XFAIL [0.0000s] (fixme: Rank(0) input will lead ORT failed due to different rank(result) in if-else branch) [ 87%] 2023-07-07T19:59:25.7437749Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_float32 PASSED [0.5200s] [ 87%] 2023-07-07T19:59:25.7438247Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int16 [2023-07-07 19:59:01,687] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7438394Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7438399Z 2023-07-07T19:59:25.7438598Z [2023-07-07 19:59:01,687] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7438851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7438858Z 2023-07-07T19:59:25.7439046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7439316Z - self: 2023-07-07T19:59:25.7439520Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7439674Z - aten_name: 2023-07-07T19:59:25.7439795Z - function_overloads: 2023-07-07T19:59:25.7439914Z - onnx_args: 2023-07-07T19:59:25.7440030Z - onnx_kwargs: 2023-07-07T19:59:25.7440335Z - diagnostic_context: 2023-07-07T19:59:25.7440496Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7440770Z [2023-07-07 19:59:01,755] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7440914Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7440920Z 2023-07-07T19:59:25.7441123Z [2023-07-07 19:59:01,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7441312Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7441332Z 2023-07-07T19:59:25.7441502Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7441772Z - self: 2023-07-07T19:59:25.7441975Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7442090Z - aten_name: 2023-07-07T19:59:25.7442224Z - function_overloads: 2023-07-07T19:59:25.7442341Z - onnx_args: 2023-07-07T19:59:25.7442460Z - onnx_kwargs: 2023-07-07T19:59:25.7442753Z - diagnostic_context: 2023-07-07T19:59:25.7442914Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7443216Z [2023-07-07 19:59:01,808] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7443363Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7443369Z 2023-07-07T19:59:25.7443574Z [2023-07-07 19:59:01,808] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7443780Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7443811Z 2023-07-07T19:59:25.7443995Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7444265Z - self: 2023-07-07T19:59:25.7444611Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7444776Z - aten_name: 2023-07-07T19:59:25.7444914Z - function_overloads: 2023-07-07T19:59:25.7445034Z - onnx_args: 2023-07-07T19:59:25.7445152Z - onnx_kwargs: 2023-07-07T19:59:25.7445458Z - diagnostic_context: 2023-07-07T19:59:25.7445618Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7445892Z [2023-07-07 19:59:01,863] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7446039Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7446048Z 2023-07-07T19:59:25.7446234Z [2023-07-07 19:59:01,863] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7446494Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7446500Z 2023-07-07T19:59:25.7446684Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7446958Z - self: 2023-07-07T19:59:25.7447161Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7447275Z - aten_name: 2023-07-07T19:59:25.7447411Z - function_overloads: 2023-07-07T19:59:25.7447562Z - onnx_args: 2023-07-07T19:59:25.7447666Z - onnx_kwargs: 2023-07-07T19:59:25.7447977Z - diagnostic_context: 2023-07-07T19:59:25.7448137Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7448408Z [2023-07-07 19:59:01,916] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7448554Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7448559Z 2023-07-07T19:59:25.7448758Z [2023-07-07 19:59:01,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7448965Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7448971Z 2023-07-07T19:59:25.7449157Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7449427Z - self: 2023-07-07T19:59:25.7449616Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7449728Z - aten_name: 2023-07-07T19:59:25.7449862Z - function_overloads: 2023-07-07T19:59:25.7449979Z - onnx_args: 2023-07-07T19:59:25.7450097Z - onnx_kwargs: 2023-07-07T19:59:25.7450402Z - diagnostic_context: 2023-07-07T19:59:25.7450566Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7450864Z [2023-07-07 19:59:01,969] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7451010Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7451016Z 2023-07-07T19:59:25.7451213Z [2023-07-07 19:59:01,969] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7451418Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7451455Z 2023-07-07T19:59:25.7451640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7451912Z - self: 2023-07-07T19:59:25.7452116Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7452232Z - aten_name: 2023-07-07T19:59:25.7452366Z - function_overloads: 2023-07-07T19:59:25.7452469Z - onnx_args: 2023-07-07T19:59:25.7452586Z - onnx_kwargs: 2023-07-07T19:59:25.7452895Z - diagnostic_context: 2023-07-07T19:59:25.7453058Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7453332Z [2023-07-07 19:59:02,025] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7453477Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7453485Z 2023-07-07T19:59:25.7453686Z [2023-07-07 19:59:02,026] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7453890Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7453896Z 2023-07-07T19:59:25.7454091Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7454361Z - self: 2023-07-07T19:59:25.7454563Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7454680Z - aten_name: 2023-07-07T19:59:25.7454815Z - function_overloads: 2023-07-07T19:59:25.7454933Z - onnx_args: 2023-07-07T19:59:25.7455084Z - onnx_kwargs: 2023-07-07T19:59:25.7455389Z - diagnostic_context: 2023-07-07T19:59:25.7455539Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7456397Z 2023-07-07 19:59:02.029396387 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x959b120_n0' Status Message: /onnxruntime_src/onnxruntime/core/providers/common.h:23 int64_t onnxruntime::HandleNegativeAxis(int64_t, int64_t) axis >= -tensor_rank && axis <= tensor_rank - 1 was false. axis 0 is not in valid range [-0,-1] 2023-07-07T19:59:25.7456405Z 2023-07-07T19:59:25.7456685Z XFAIL [0.0000s] (fixme: Rank(0) input will lead ORT failed due to different rank(result) in if-else branch) [ 88%] 2023-07-07T19:59:25.7456945Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int16 PASSED [0.4180s] [ 88%] 2023-07-07T19:59:25.7457444Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int32 [2023-07-07 19:59:02,343] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7457590Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7457595Z 2023-07-07T19:59:25.7457781Z [2023-07-07 19:59:02,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7457987Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7457993Z 2023-07-07T19:59:25.7458177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7458475Z - self: 2023-07-07T19:59:25.7458682Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7458797Z - aten_name: 2023-07-07T19:59:25.7458933Z - function_overloads: 2023-07-07T19:59:25.7459049Z - onnx_args: 2023-07-07T19:59:25.7459183Z - onnx_kwargs: 2023-07-07T19:59:25.7459490Z - diagnostic_context: 2023-07-07T19:59:25.7459650Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7459926Z [2023-07-07 19:59:02,396] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7460070Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7460076Z 2023-07-07T19:59:25.7460276Z [2023-07-07 19:59:02,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7460479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7460485Z 2023-07-07T19:59:25.7460669Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7460941Z - self: 2023-07-07T19:59:25.7461131Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7461244Z - aten_name: 2023-07-07T19:59:25.7461379Z - function_overloads: 2023-07-07T19:59:25.7461498Z - onnx_args: 2023-07-07T19:59:25.7461615Z - onnx_kwargs: 2023-07-07T19:59:25.7461943Z - diagnostic_context: 2023-07-07T19:59:25.7462107Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7462364Z [2023-07-07 19:59:02,448] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7462508Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7462514Z 2023-07-07T19:59:25.7462710Z [2023-07-07 19:59:02,448] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7462939Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7462947Z 2023-07-07T19:59:25.7463130Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7463400Z - self: 2023-07-07T19:59:25.7463603Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7463717Z - aten_name: 2023-07-07T19:59:25.7463850Z - function_overloads: 2023-07-07T19:59:25.7463952Z - onnx_args: 2023-07-07T19:59:25.7464070Z - onnx_kwargs: 2023-07-07T19:59:25.7464376Z - diagnostic_context: 2023-07-07T19:59:25.7464536Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7464806Z [2023-07-07 19:59:02,503] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7464952Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7464958Z 2023-07-07T19:59:25.7465154Z [2023-07-07 19:59:02,503] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7465356Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7465364Z 2023-07-07T19:59:25.7465532Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7465844Z - self: 2023-07-07T19:59:25.7466046Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7466160Z - aten_name: 2023-07-07T19:59:25.7466294Z - function_overloads: 2023-07-07T19:59:25.7466413Z - onnx_args: 2023-07-07T19:59:25.7466533Z - onnx_kwargs: 2023-07-07T19:59:25.7466836Z - diagnostic_context: 2023-07-07T19:59:25.7467009Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7467279Z [2023-07-07 19:59:02,556] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7467426Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7467431Z 2023-07-07T19:59:25.7467628Z [2023-07-07 19:59:02,556] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7467832Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7467837Z 2023-07-07T19:59:25.7468021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7468291Z - self: 2023-07-07T19:59:25.7468494Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7468610Z - aten_name: 2023-07-07T19:59:25.7468731Z - function_overloads: 2023-07-07T19:59:25.7468847Z - onnx_args: 2023-07-07T19:59:25.7468965Z - onnx_kwargs: 2023-07-07T19:59:25.7469299Z - diagnostic_context: 2023-07-07T19:59:25.7469462Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7469736Z [2023-07-07 19:59:02,610] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7469880Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7469886Z 2023-07-07T19:59:25.7470070Z [2023-07-07 19:59:02,610] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7470274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7470308Z 2023-07-07T19:59:25.7470492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7470758Z - self: 2023-07-07T19:59:25.7470957Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7471069Z - aten_name: 2023-07-07T19:59:25.7471204Z - function_overloads: 2023-07-07T19:59:25.7471318Z - onnx_args: 2023-07-07T19:59:25.7471423Z - onnx_kwargs: 2023-07-07T19:59:25.7471729Z - diagnostic_context: 2023-07-07T19:59:25.7471890Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7472159Z [2023-07-07 19:59:02,660] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7472305Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7472313Z 2023-07-07T19:59:25.7472508Z [2023-07-07 19:59:02,660] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7472708Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7472714Z 2023-07-07T19:59:25.7472898Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7473166Z - self: 2023-07-07T19:59:25.7473383Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7473498Z - aten_name: 2023-07-07T19:59:25.7473630Z - function_overloads: 2023-07-07T19:59:25.7473746Z - onnx_args: 2023-07-07T19:59:25.7473863Z - onnx_kwargs: 2023-07-07T19:59:25.7474169Z - diagnostic_context: 2023-07-07T19:59:25.7474355Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7475320Z 2023-07-07 19:59:02.663261807 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x8edfed0_n0' Status Message: /onnxruntime_src/onnxruntime/core/providers/common.h:23 int64_t onnxruntime::HandleNegativeAxis(int64_t, int64_t) axis >= -tensor_rank && axis <= tensor_rank - 1 was false. axis 0 is not in valid range [-0,-1] 2023-07-07T19:59:25.7475328Z 2023-07-07T19:59:25.7475609Z XFAIL [0.0000s] (fixme: Rank(0) input will lead ORT failed due to different rank(result) in if-else branch) [ 88%] 2023-07-07T19:59:25.7475855Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int32 PASSED [0.6315s] [ 88%] 2023-07-07T19:59:25.7476339Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int64 [2023-07-07 19:59:02,717] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7476488Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7476493Z 2023-07-07T19:59:25.7476692Z [2023-07-07 19:59:02,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7476938Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7476945Z 2023-07-07T19:59:25.7477130Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7477400Z - self: 2023-07-07T19:59:25.7477601Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7477717Z - aten_name: 2023-07-07T19:59:25.7477880Z - function_overloads: 2023-07-07T19:59:25.7477983Z - onnx_args: 2023-07-07T19:59:25.7478102Z - onnx_kwargs: 2023-07-07T19:59:25.7478407Z - diagnostic_context: 2023-07-07T19:59:25.7478567Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7478836Z [2023-07-07 19:59:02,775] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7478980Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7478985Z 2023-07-07T19:59:25.7479180Z [2023-07-07 19:59:02,775] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7479386Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7479392Z 2023-07-07T19:59:25.7479563Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7479831Z - self: 2023-07-07T19:59:25.7480036Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7480152Z - aten_name: 2023-07-07T19:59:25.7480284Z - function_overloads: 2023-07-07T19:59:25.7480401Z - onnx_args: 2023-07-07T19:59:25.7480518Z - onnx_kwargs: 2023-07-07T19:59:25.7480823Z - diagnostic_context: 2023-07-07T19:59:25.7480970Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7481266Z [2023-07-07 19:59:02,827] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7481410Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7481415Z 2023-07-07T19:59:25.7481611Z [2023-07-07 19:59:02,828] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7481816Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7481849Z 2023-07-07T19:59:25.7482033Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7482300Z - self: 2023-07-07T19:59:25.7482502Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7482615Z - aten_name: 2023-07-07T19:59:25.7482735Z - function_overloads: 2023-07-07T19:59:25.7482850Z - onnx_args: 2023-07-07T19:59:25.7482968Z - onnx_kwargs: 2023-07-07T19:59:25.7483273Z - diagnostic_context: 2023-07-07T19:59:25.7483434Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7483704Z [2023-07-07 19:59:02,881] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7483852Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7483859Z 2023-07-07T19:59:25.7484042Z [2023-07-07 19:59:02,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7484245Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7484251Z 2023-07-07T19:59:25.7484705Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7484983Z - self: 2023-07-07T19:59:25.7485185Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7485298Z - aten_name: 2023-07-07T19:59:25.7485432Z - function_overloads: 2023-07-07T19:59:25.7485548Z - onnx_args: 2023-07-07T19:59:25.7485688Z - onnx_kwargs: 2023-07-07T19:59:25.7485993Z - diagnostic_context: 2023-07-07T19:59:25.7486156Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7486426Z [2023-07-07 19:59:02,935] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7486568Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7486576Z 2023-07-07T19:59:25.7486772Z [2023-07-07 19:59:02,935] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7486977Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7486982Z 2023-07-07T19:59:25.7487164Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7487432Z - self: 2023-07-07T19:59:25.7487623Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7487740Z - aten_name: 2023-07-07T19:59:25.7487876Z - function_overloads: 2023-07-07T19:59:25.7487991Z - onnx_args: 2023-07-07T19:59:25.7488108Z - onnx_kwargs: 2023-07-07T19:59:25.7488412Z - diagnostic_context: 2023-07-07T19:59:25.7488575Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7488845Z [2023-07-07 19:59:02,988] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7489009Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7489015Z 2023-07-07T19:59:25.7489215Z [2023-07-07 19:59:02,988] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7489419Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7489426Z 2023-07-07T19:59:25.7489642Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7489911Z - self: 2023-07-07T19:59:25.7490114Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7490228Z - aten_name: 2023-07-07T19:59:25.7490362Z - function_overloads: 2023-07-07T19:59:25.7490465Z - onnx_args: 2023-07-07T19:59:25.7490583Z - onnx_kwargs: 2023-07-07T19:59:25.7490890Z - diagnostic_context: 2023-07-07T19:59:25.7491052Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7491321Z [2023-07-07 19:59:03,038] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7491464Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7491470Z 2023-07-07T19:59:25.7491669Z [2023-07-07 19:59:03,038] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7491870Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7491876Z 2023-07-07T19:59:25.7492056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7492338Z - self: 2023-07-07T19:59:25.7492541Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7492655Z - aten_name: 2023-07-07T19:59:25.7492787Z - function_overloads: 2023-07-07T19:59:25.7492903Z - onnx_args: 2023-07-07T19:59:25.7493020Z - onnx_kwargs: 2023-07-07T19:59:25.7493324Z - diagnostic_context: 2023-07-07T19:59:25.7493500Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7494354Z 2023-07-07 19:59:03.040876238 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x959b120_n0' Status Message: /onnxruntime_src/onnxruntime/core/providers/common.h:23 int64_t onnxruntime::HandleNegativeAxis(int64_t, int64_t) axis >= -tensor_rank && axis <= tensor_rank - 1 was false. axis 0 is not in valid range [-0,-1] 2023-07-07T19:59:25.7494374Z 2023-07-07T19:59:25.7494640Z XFAIL [0.0000s] (fixme: Rank(0) input will lead ORT failed due to different rank(result) in if-else branch) [ 88%] 2023-07-07T19:59:25.7494887Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int64 PASSED [0.3882s] [ 88%] 2023-07-07T19:59:25.7495379Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int8 [2023-07-07 19:59:03,107] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7495529Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7495534Z 2023-07-07T19:59:25.7495734Z [2023-07-07 19:59:03,107] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7495940Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7495946Z 2023-07-07T19:59:25.7496129Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7496424Z - self: 2023-07-07T19:59:25.7496627Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7496741Z - aten_name: 2023-07-07T19:59:25.7496863Z - function_overloads: 2023-07-07T19:59:25.7496980Z - onnx_args: 2023-07-07T19:59:25.7497097Z - onnx_kwargs: 2023-07-07T19:59:25.7497454Z - diagnostic_context: 2023-07-07T19:59:25.7497614Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7497882Z [2023-07-07 19:59:03,161] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7498025Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7498032Z 2023-07-07T19:59:25.7498216Z [2023-07-07 19:59:03,161] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7498420Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7498426Z 2023-07-07T19:59:25.7498608Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7498878Z - self: 2023-07-07T19:59:25.7499082Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7499195Z - aten_name: 2023-07-07T19:59:25.7499327Z - function_overloads: 2023-07-07T19:59:25.7499442Z - onnx_args: 2023-07-07T19:59:25.7499546Z - onnx_kwargs: 2023-07-07T19:59:25.7499883Z - diagnostic_context: 2023-07-07T19:59:25.7500048Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7500321Z [2023-07-07 19:59:03,223] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7500462Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7500467Z 2023-07-07T19:59:25.7500664Z [2023-07-07 19:59:03,223] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7500904Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7500912Z 2023-07-07T19:59:25.7501093Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7501363Z - self: 2023-07-07T19:59:25.7501552Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7501669Z - aten_name: 2023-07-07T19:59:25.7501801Z - function_overloads: 2023-07-07T19:59:25.7501918Z - onnx_args: 2023-07-07T19:59:25.7502033Z - onnx_kwargs: 2023-07-07T19:59:25.7502340Z - diagnostic_context: 2023-07-07T19:59:25.7502499Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7502768Z [2023-07-07 19:59:03,282] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7502900Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7502908Z 2023-07-07T19:59:25.7503104Z [2023-07-07 19:59:03,282] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7503304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7503309Z 2023-07-07T19:59:25.7503492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7503761Z - self: 2023-07-07T19:59:25.7504002Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7504117Z - aten_name: 2023-07-07T19:59:25.7504249Z - function_overloads: 2023-07-07T19:59:25.7504353Z - onnx_args: 2023-07-07T19:59:25.7504471Z - onnx_kwargs: 2023-07-07T19:59:25.7504777Z - diagnostic_context: 2023-07-07T19:59:25.7504966Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7505238Z [2023-07-07 19:59:03,356] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7505379Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7505385Z 2023-07-07T19:59:25.7505583Z [2023-07-07 19:59:03,356] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7505785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7505793Z 2023-07-07T19:59:25.7505977Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7506232Z - self: 2023-07-07T19:59:25.7506432Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7506546Z - aten_name: 2023-07-07T19:59:25.7506681Z - function_overloads: 2023-07-07T19:59:25.7506797Z - onnx_args: 2023-07-07T19:59:25.7506914Z - onnx_kwargs: 2023-07-07T19:59:25.7507218Z - diagnostic_context: 2023-07-07T19:59:25.7507408Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7507679Z [2023-07-07 19:59:03,430] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7507821Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7507828Z 2023-07-07T19:59:25.7508023Z [2023-07-07 19:59:03,430] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7508224Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7508258Z 2023-07-07T19:59:25.7508441Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7508710Z - self: 2023-07-07T19:59:25.7508911Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7509026Z - aten_name: 2023-07-07T19:59:25.7509146Z - function_overloads: 2023-07-07T19:59:25.7509264Z - onnx_args: 2023-07-07T19:59:25.7509382Z - onnx_kwargs: 2023-07-07T19:59:25.7509685Z - diagnostic_context: 2023-07-07T19:59:25.7509851Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7510121Z [2023-07-07 19:59:03,499] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7510268Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7510273Z 2023-07-07T19:59:25.7510470Z [2023-07-07 19:59:03,499] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7510662Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7510668Z 2023-07-07T19:59:25.7510850Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7511119Z - self: 2023-07-07T19:59:25.7511319Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7511432Z - aten_name: 2023-07-07T19:59:25.7511595Z - function_overloads: 2023-07-07T19:59:25.7511713Z - onnx_args: 2023-07-07T19:59:25.7511830Z - onnx_kwargs: 2023-07-07T19:59:25.7512120Z - diagnostic_context: 2023-07-07T19:59:25.7512284Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7513167Z 2023-07-07 19:59:03.502479488 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x8edfed0_n0' Status Message: /onnxruntime_src/onnxruntime/core/providers/common.h:23 int64_t onnxruntime::HandleNegativeAxis(int64_t, int64_t) axis >= -tensor_rank && axis <= tensor_rank - 1 was false. axis 0 is not in valid range [-0,-1] 2023-07-07T19:59:25.7513174Z 2023-07-07T19:59:25.7513452Z XFAIL [0.0000s] (fixme: Rank(0) input will lead ORT failed due to different rank(result) in if-else branch) [ 88%] 2023-07-07T19:59:25.7513696Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_int8 PASSED [0.4487s] [ 88%] 2023-07-07T19:59:25.7514190Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_uint8 [2023-07-07 19:59:03,577] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7514339Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7514345Z 2023-07-07T19:59:25.7514646Z [2023-07-07 19:59:03,577] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7514851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7514893Z 2023-07-07T19:59:25.7515078Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7515353Z - self: 2023-07-07T19:59:25.7515542Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7515657Z - aten_name: 2023-07-07T19:59:25.7515791Z - function_overloads: 2023-07-07T19:59:25.7515937Z - onnx_args: 2023-07-07T19:59:25.7516056Z - onnx_kwargs: 2023-07-07T19:59:25.7516360Z - diagnostic_context: 2023-07-07T19:59:25.7516526Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7516782Z [2023-07-07 19:59:03,655] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7516929Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7516934Z 2023-07-07T19:59:25.7517130Z [2023-07-07 19:59:03,655] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7517335Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7517341Z 2023-07-07T19:59:25.7517522Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7517792Z - self: 2023-07-07T19:59:25.7517996Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7518113Z - aten_name: 2023-07-07T19:59:25.7518244Z - function_overloads: 2023-07-07T19:59:25.7518348Z - onnx_args: 2023-07-07T19:59:25.7518464Z - onnx_kwargs: 2023-07-07T19:59:25.7518768Z - diagnostic_context: 2023-07-07T19:59:25.7518929Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7519200Z [2023-07-07 19:59:03,729] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7519377Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7519383Z 2023-07-07T19:59:25.7519579Z [2023-07-07 19:59:03,729] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7519781Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7519816Z 2023-07-07T19:59:25.7519999Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7520255Z - self: 2023-07-07T19:59:25.7520457Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7520571Z - aten_name: 2023-07-07T19:59:25.7520705Z - function_overloads: 2023-07-07T19:59:25.7520821Z - onnx_args: 2023-07-07T19:59:25.7520937Z - onnx_kwargs: 2023-07-07T19:59:25.7521246Z - diagnostic_context: 2023-07-07T19:59:25.7521396Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7521665Z [2023-07-07 19:59:03,813] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7521810Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7521818Z 2023-07-07T19:59:25.7522016Z [2023-07-07 19:59:03,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7522218Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7522223Z 2023-07-07T19:59:25.7522431Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7522703Z - self: 2023-07-07T19:59:25.7522904Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7523021Z - aten_name: 2023-07-07T19:59:25.7523142Z - function_overloads: 2023-07-07T19:59:25.7523257Z - onnx_args: 2023-07-07T19:59:25.7523374Z - onnx_kwargs: 2023-07-07T19:59:25.7523710Z - diagnostic_context: 2023-07-07T19:59:25.7523873Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7524140Z [2023-07-07 19:59:03,887] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7524283Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7524288Z 2023-07-07T19:59:25.7524641Z [2023-07-07 19:59:03,887] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7524866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7524872Z 2023-07-07T19:59:25.7525057Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7525332Z - self: 2023-07-07T19:59:25.7525531Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7525648Z - aten_name: 2023-07-07T19:59:25.7525782Z - function_overloads: 2023-07-07T19:59:25.7525899Z - onnx_args: 2023-07-07T19:59:25.7526015Z - onnx_kwargs: 2023-07-07T19:59:25.7526311Z - diagnostic_context: 2023-07-07T19:59:25.7526471Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7526747Z [2023-07-07 19:59:03,960] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7526890Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7526896Z 2023-07-07T19:59:25.7527153Z [2023-07-07 19:59:03,960] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7527360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7527367Z 2023-07-07T19:59:25.7527554Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7527860Z - self: 2023-07-07T19:59:25.7528061Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7528163Z - aten_name: 2023-07-07T19:59:25.7528295Z - function_overloads: 2023-07-07T19:59:25.7528413Z - onnx_args: 2023-07-07T19:59:25.7528531Z - onnx_kwargs: 2023-07-07T19:59:25.7528836Z - diagnostic_context: 2023-07-07T19:59:25.7528999Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7529267Z [2023-07-07 19:59:04,027] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_add.default[name=scatter_add]. 2023-07-07T19:59:25.7529398Z ONNX Node: aten_scatter_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7529407Z 2023-07-07T19:59:25.7529604Z [2023-07-07 19:59:04,027] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7529807Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7529813Z 2023-07-07T19:59:25.7529994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7530306Z - self: 2023-07-07T19:59:25.7530511Z - node: fx.Node(scatter_add[call_function]'aten.scatter_add.default') 2023-07-07T19:59:25.7530623Z - aten_name: 2023-07-07T19:59:25.7530758Z - function_overloads: 2023-07-07T19:59:25.7530861Z - onnx_args: 2023-07-07T19:59:25.7530976Z - onnx_kwargs: 2023-07-07T19:59:25.7531277Z - diagnostic_context: 2023-07-07T19:59:25.7531475Z - Return value: `OnnxFunction(aten_scatter_add)` 2023-07-07T19:59:25.7532326Z 2023-07-07 19:59:04.031236253 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x959b120_n0' Status Message: /onnxruntime_src/onnxruntime/core/providers/common.h:23 int64_t onnxruntime::HandleNegativeAxis(int64_t, int64_t) axis >= -tensor_rank && axis <= tensor_rank - 1 was false. axis 0 is not in valid range [-0,-1] 2023-07-07T19:59:25.7532338Z 2023-07-07T19:59:25.7532616Z XFAIL [0.0000s] (fixme: Rank(0) input will lead ORT failed due to different rank(result) in if-else branch) [ 88%] 2023-07-07T19:59:25.7532862Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_add_cpu_uint8 PASSED [0.5271s] [ 88%] 2023-07-07T19:59:25.7533114Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_bool XFAIL [0.0031s] [ 89%] 2023-07-07T19:59:25.7533367Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float16 XFAIL [0.0037s] [ 89%] 2023-07-07T19:59:25.7533881Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 [2023-07-07 19:59:04,124] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7534031Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7534037Z 2023-07-07T19:59:25.7534235Z [2023-07-07 19:59:04,124] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7534456Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7534463Z 2023-07-07T19:59:25.7534648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7534917Z - self: 2023-07-07T19:59:25.7535124Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7535267Z - aten_name: 2023-07-07T19:59:25.7535399Z - function_overloads: 2023-07-07T19:59:25.7535514Z - onnx_args: 2023-07-07T19:59:25.7535631Z - onnx_kwargs: 2023-07-07T19:59:25.7535924Z - diagnostic_context: 2023-07-07T19:59:25.7536134Z - Return value: 2023-07-07T19:59:25.7536411Z [2023-07-07 19:59:04,210] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7536557Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7536562Z 2023-07-07T19:59:25.7536758Z [2023-07-07 19:59:04,210] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7536961Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7536969Z 2023-07-07T19:59:25.7537152Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7537419Z - self: 2023-07-07T19:59:25.7537625Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7537755Z - aten_name: 2023-07-07T19:59:25.7537887Z - function_overloads: 2023-07-07T19:59:25.7538002Z - onnx_args: 2023-07-07T19:59:25.7538118Z - onnx_kwargs: 2023-07-07T19:59:25.7538423Z - diagnostic_context: 2023-07-07T19:59:25.7538634Z - Return value: 2023-07-07T19:59:25.7538906Z [2023-07-07 19:59:04,296] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7539068Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7539088Z 2023-07-07T19:59:25.7539271Z [2023-07-07 19:59:04,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7539471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7539476Z 2023-07-07T19:59:25.7539660Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7539926Z - self: 2023-07-07T19:59:25.7540132Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7540246Z - aten_name: 2023-07-07T19:59:25.7540377Z - function_overloads: 2023-07-07T19:59:25.7540491Z - onnx_args: 2023-07-07T19:59:25.7540598Z - onnx_kwargs: 2023-07-07T19:59:25.7540899Z - diagnostic_context: 2023-07-07T19:59:25.7541112Z - Return value: 2023-07-07T19:59:25.7541384Z [2023-07-07 19:59:04,383] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7541531Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7541538Z 2023-07-07T19:59:25.7541737Z [2023-07-07 19:59:04,383] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7541966Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7541973Z 2023-07-07T19:59:25.7542157Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7542413Z - self: 2023-07-07T19:59:25.7542621Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7542763Z - aten_name: 2023-07-07T19:59:25.7542894Z - function_overloads: 2023-07-07T19:59:25.7543009Z - onnx_args: 2023-07-07T19:59:25.7543125Z - onnx_kwargs: 2023-07-07T19:59:25.7543430Z - diagnostic_context: 2023-07-07T19:59:25.7543642Z - Return value: 2023-07-07T19:59:25.7543900Z [2023-07-07 19:59:04,477] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7544050Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7544057Z 2023-07-07T19:59:25.7544253Z [2023-07-07 19:59:04,477] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7544456Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7544466Z 2023-07-07T19:59:25.7544648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7544915Z - self: 2023-07-07T19:59:25.7545120Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7545262Z - aten_name: 2023-07-07T19:59:25.7545383Z - function_overloads: 2023-07-07T19:59:25.7545497Z - onnx_args: 2023-07-07T19:59:25.7545613Z - onnx_kwargs: 2023-07-07T19:59:25.7545920Z - diagnostic_context: 2023-07-07T19:59:25.7546134Z - Return value: 2023-07-07T19:59:25.7546403Z [2023-07-07 19:59:04,563] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7546582Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7546589Z 2023-07-07T19:59:25.7546785Z [2023-07-07 19:59:04,563] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7546986Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7546992Z 2023-07-07T19:59:25.7547163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7547432Z - self: 2023-07-07T19:59:25.7547637Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7547750Z - aten_name: 2023-07-07T19:59:25.7547881Z - function_overloads: 2023-07-07T19:59:25.7547995Z - onnx_args: 2023-07-07T19:59:25.7548111Z - onnx_kwargs: 2023-07-07T19:59:25.7548406Z - diagnostic_context: 2023-07-07T19:59:25.7548618Z - Return value: 2023-07-07T19:59:25.7548895Z [2023-07-07 19:59:04,640] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7549041Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7549046Z 2023-07-07T19:59:25.7549243Z [2023-07-07 19:59:04,640] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7549445Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7549483Z 2023-07-07T19:59:25.7549668Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7549934Z - self: 2023-07-07T19:59:25.7550142Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7550271Z - aten_name: 2023-07-07T19:59:25.7550404Z - function_overloads: 2023-07-07T19:59:25.7550519Z - onnx_args: 2023-07-07T19:59:25.7550635Z - onnx_kwargs: 2023-07-07T19:59:25.7550936Z - diagnostic_context: 2023-07-07T19:59:25.7551150Z - Return value: 2023-07-07T19:59:25.7551357Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7551813Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7552241Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7552674Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7553135Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7553570Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7553996Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7554538Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7554979Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7555408Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7555837Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7556264Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7556690Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7557119Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7557370Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_float32 PASSED [0.6091s] [ 89%] 2023-07-07T19:59:25.7557945Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 [2023-07-07 19:59:04,711] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7558097Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7558103Z 2023-07-07T19:59:25.7558289Z [2023-07-07 19:59:04,711] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7558545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7558551Z 2023-07-07T19:59:25.7558732Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7559002Z - self: 2023-07-07T19:59:25.7559211Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7559326Z - aten_name: 2023-07-07T19:59:25.7559459Z - function_overloads: 2023-07-07T19:59:25.7559573Z - onnx_args: 2023-07-07T19:59:25.7559677Z - onnx_kwargs: 2023-07-07T19:59:25.7559982Z - diagnostic_context: 2023-07-07T19:59:25.7560194Z - Return value: 2023-07-07T19:59:25.7560470Z [2023-07-07 19:59:04,775] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7560618Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7560623Z 2023-07-07T19:59:25.7560822Z [2023-07-07 19:59:04,775] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7561054Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7561061Z 2023-07-07T19:59:25.7561250Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7561519Z - self: 2023-07-07T19:59:25.7561711Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7561861Z - aten_name: 2023-07-07T19:59:25.7561992Z - function_overloads: 2023-07-07T19:59:25.7562110Z - onnx_args: 2023-07-07T19:59:25.7562225Z - onnx_kwargs: 2023-07-07T19:59:25.7562532Z - diagnostic_context: 2023-07-07T19:59:25.7562742Z - Return value: 2023-07-07T19:59:25.7563018Z [2023-07-07 19:59:04,838] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7563153Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7563158Z 2023-07-07T19:59:25.7563359Z [2023-07-07 19:59:04,838] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7563560Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7563568Z 2023-07-07T19:59:25.7563752Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7564022Z - self: 2023-07-07T19:59:25.7564228Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7564342Z - aten_name: 2023-07-07T19:59:25.7564564Z - function_overloads: 2023-07-07T19:59:25.7564667Z - onnx_args: 2023-07-07T19:59:25.7564786Z - onnx_kwargs: 2023-07-07T19:59:25.7565090Z - diagnostic_context: 2023-07-07T19:59:25.7565349Z - Return value: 2023-07-07T19:59:25.7565625Z [2023-07-07 19:59:04,898] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7565770Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7565778Z 2023-07-07T19:59:25.7565975Z [2023-07-07 19:59:04,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7566213Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7566218Z 2023-07-07T19:59:25.7566401Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7566658Z - self: 2023-07-07T19:59:25.7566863Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7566976Z - aten_name: 2023-07-07T19:59:25.7567110Z - function_overloads: 2023-07-07T19:59:25.7567225Z - onnx_args: 2023-07-07T19:59:25.7567340Z - onnx_kwargs: 2023-07-07T19:59:25.7567647Z - diagnostic_context: 2023-07-07T19:59:25.7567849Z - Return value: 2023-07-07T19:59:25.7568123Z [2023-07-07 19:59:04,959] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7568270Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7568275Z 2023-07-07T19:59:25.7568470Z [2023-07-07 19:59:04,959] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7568706Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7568712Z 2023-07-07T19:59:25.7568899Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7569168Z - self: 2023-07-07T19:59:25.7569372Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7569522Z - aten_name: 2023-07-07T19:59:25.7569640Z - function_overloads: 2023-07-07T19:59:25.7569758Z - onnx_args: 2023-07-07T19:59:25.7569875Z - onnx_kwargs: 2023-07-07T19:59:25.7570177Z - diagnostic_context: 2023-07-07T19:59:25.7570389Z - Return value: 2023-07-07T19:59:25.7570661Z [2023-07-07 19:59:05,018] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7570806Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7570812Z 2023-07-07T19:59:25.7571009Z [2023-07-07 19:59:05,019] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7571198Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7571216Z 2023-07-07T19:59:25.7571387Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7571655Z - self: 2023-07-07T19:59:25.7571861Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7571975Z - aten_name: 2023-07-07T19:59:25.7572106Z - function_overloads: 2023-07-07T19:59:25.7572222Z - onnx_args: 2023-07-07T19:59:25.7572341Z - onnx_kwargs: 2023-07-07T19:59:25.7572631Z - diagnostic_context: 2023-07-07T19:59:25.7572843Z - Return value: 2023-07-07T19:59:25.7573138Z [2023-07-07 19:59:05,074] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7573288Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7573296Z 2023-07-07T19:59:25.7573492Z [2023-07-07 19:59:05,074] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7573729Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7573735Z 2023-07-07T19:59:25.7573919Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7574189Z - self: 2023-07-07T19:59:25.7574393Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7574494Z - aten_name: 2023-07-07T19:59:25.7574627Z - function_overloads: 2023-07-07T19:59:25.7574743Z - onnx_args: 2023-07-07T19:59:25.7574860Z - onnx_kwargs: 2023-07-07T19:59:25.7575165Z - diagnostic_context: 2023-07-07T19:59:25.7575380Z - Return value: 2023-07-07T19:59:25.7575585Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7576040Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7576496Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7576935Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7577363Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7577820Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7578251Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7578679Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7579104Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7579534Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7579964Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7580389Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7580841Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7581267Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7581519Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int16 PASSED [0.4310s] [ 89%] 2023-07-07T19:59:25.7582055Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 [2023-07-07 19:59:05,144] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7582192Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7582214Z 2023-07-07T19:59:25.7582400Z [2023-07-07 19:59:05,144] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7582607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7582613Z 2023-07-07T19:59:25.7582796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7583066Z - self: 2023-07-07T19:59:25.7583272Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7583388Z - aten_name: 2023-07-07T19:59:25.7583523Z - function_overloads: 2023-07-07T19:59:25.7583638Z - onnx_args: 2023-07-07T19:59:25.7583742Z - onnx_kwargs: 2023-07-07T19:59:25.7584086Z - diagnostic_context: 2023-07-07T19:59:25.7584300Z - Return value: 2023-07-07T19:59:25.7584579Z [2023-07-07 19:59:05,206] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7584726Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7584732Z 2023-07-07T19:59:25.7584930Z [2023-07-07 19:59:05,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7585162Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7585170Z 2023-07-07T19:59:25.7585354Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7585623Z - self: 2023-07-07T19:59:25.7585816Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7585932Z - aten_name: 2023-07-07T19:59:25.7586065Z - function_overloads: 2023-07-07T19:59:25.7586182Z - onnx_args: 2023-07-07T19:59:25.7586298Z - onnx_kwargs: 2023-07-07T19:59:25.7586604Z - diagnostic_context: 2023-07-07T19:59:25.7586816Z - Return value: 2023-07-07T19:59:25.7587075Z [2023-07-07 19:59:05,268] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7587228Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7587233Z 2023-07-07T19:59:25.7587432Z [2023-07-07 19:59:05,268] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7587636Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7587641Z 2023-07-07T19:59:25.7587827Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7588092Z - self: 2023-07-07T19:59:25.7588325Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7588442Z - aten_name: 2023-07-07T19:59:25.7588574Z - function_overloads: 2023-07-07T19:59:25.7588678Z - onnx_args: 2023-07-07T19:59:25.7588797Z - onnx_kwargs: 2023-07-07T19:59:25.7589102Z - diagnostic_context: 2023-07-07T19:59:25.7589345Z - Return value: 2023-07-07T19:59:25.7589616Z [2023-07-07 19:59:05,331] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7589762Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7589770Z 2023-07-07T19:59:25.7589968Z [2023-07-07 19:59:05,331] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7590171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7590177Z 2023-07-07T19:59:25.7590346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7590612Z - self: 2023-07-07T19:59:25.7590817Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7590931Z - aten_name: 2023-07-07T19:59:25.7591063Z - function_overloads: 2023-07-07T19:59:25.7591178Z - onnx_args: 2023-07-07T19:59:25.7591294Z - onnx_kwargs: 2023-07-07T19:59:25.7591598Z - diagnostic_context: 2023-07-07T19:59:25.7591824Z - Return value: 2023-07-07T19:59:25.7592096Z [2023-07-07 19:59:05,393] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7592243Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7592249Z 2023-07-07T19:59:25.7592445Z [2023-07-07 19:59:05,393] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7592679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7592691Z 2023-07-07T19:59:25.7592962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7593250Z - self: 2023-07-07T19:59:25.7593456Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7593572Z - aten_name: 2023-07-07T19:59:25.7593691Z - function_overloads: 2023-07-07T19:59:25.7593806Z - onnx_args: 2023-07-07T19:59:25.7593922Z - onnx_kwargs: 2023-07-07T19:59:25.7594227Z - diagnostic_context: 2023-07-07T19:59:25.7594437Z - Return value: 2023-07-07T19:59:25.7594786Z [2023-07-07 19:59:05,454] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7594936Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7594944Z 2023-07-07T19:59:25.7595160Z [2023-07-07 19:59:05,454] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7595416Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7595422Z 2023-07-07T19:59:25.7595607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7595875Z - self: 2023-07-07T19:59:25.7596117Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7596233Z - aten_name: 2023-07-07T19:59:25.7596365Z - function_overloads: 2023-07-07T19:59:25.7596478Z - onnx_args: 2023-07-07T19:59:25.7596585Z - onnx_kwargs: 2023-07-07T19:59:25.7596888Z - diagnostic_context: 2023-07-07T19:59:25.7597126Z - Return value: 2023-07-07T19:59:25.7597397Z [2023-07-07 19:59:05,512] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7597542Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7597548Z 2023-07-07T19:59:25.7597747Z [2023-07-07 19:59:05,512] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7597951Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7597959Z 2023-07-07T19:59:25.7598143Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7598410Z - self: 2023-07-07T19:59:25.7598603Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7598718Z - aten_name: 2023-07-07T19:59:25.7598849Z - function_overloads: 2023-07-07T19:59:25.7598968Z - onnx_args: 2023-07-07T19:59:25.7599084Z - onnx_kwargs: 2023-07-07T19:59:25.7599387Z - diagnostic_context: 2023-07-07T19:59:25.7599623Z - Return value: 2023-07-07T19:59:25.7599833Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7600274Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7600711Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7601173Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7601616Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7602050Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7602480Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7602906Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7603333Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7603760Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7604218Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7604864Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7605305Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7605789Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7606041Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int32 PASSED [0.4368s] [ 89%] 2023-07-07T19:59:25.7606537Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 [2023-07-07 19:59:05,583] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7606684Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7606694Z 2023-07-07T19:59:25.7606895Z [2023-07-07 19:59:05,583] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7607099Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7607106Z 2023-07-07T19:59:25.7607291Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7607593Z - self: 2023-07-07T19:59:25.7607802Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7607918Z - aten_name: 2023-07-07T19:59:25.7608053Z - function_overloads: 2023-07-07T19:59:25.7608157Z - onnx_args: 2023-07-07T19:59:25.7608275Z - onnx_kwargs: 2023-07-07T19:59:25.7608581Z - diagnostic_context: 2023-07-07T19:59:25.7608834Z - Return value: 2023-07-07T19:59:25.7609109Z [2023-07-07 19:59:05,644] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7609255Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7609261Z 2023-07-07T19:59:25.7609459Z [2023-07-07 19:59:05,644] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7609664Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7609670Z 2023-07-07T19:59:25.7609854Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7610110Z - self: 2023-07-07T19:59:25.7610313Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7610429Z - aten_name: 2023-07-07T19:59:25.7610561Z - function_overloads: 2023-07-07T19:59:25.7610679Z - onnx_args: 2023-07-07T19:59:25.7610797Z - onnx_kwargs: 2023-07-07T19:59:25.7611102Z - diagnostic_context: 2023-07-07T19:59:25.7611299Z - Return value: 2023-07-07T19:59:25.7611572Z [2023-07-07 19:59:05,712] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7611718Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7611723Z 2023-07-07T19:59:25.7611963Z [2023-07-07 19:59:05,712] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7612167Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7612173Z 2023-07-07T19:59:25.7612357Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7612655Z - self: 2023-07-07T19:59:25.7612862Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7612975Z - aten_name: 2023-07-07T19:59:25.7613094Z - function_overloads: 2023-07-07T19:59:25.7613209Z - onnx_args: 2023-07-07T19:59:25.7613327Z - onnx_kwargs: 2023-07-07T19:59:25.7613632Z - diagnostic_context: 2023-07-07T19:59:25.7613843Z - Return value: 2023-07-07T19:59:25.7614117Z [2023-07-07 19:59:05,778] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7614265Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7614273Z 2023-07-07T19:59:25.7614470Z [2023-07-07 19:59:05,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7614661Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7614678Z 2023-07-07T19:59:25.7614849Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7615143Z - self: 2023-07-07T19:59:25.7615350Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7615463Z - aten_name: 2023-07-07T19:59:25.7615596Z - function_overloads: 2023-07-07T19:59:25.7615710Z - onnx_args: 2023-07-07T19:59:25.7615826Z - onnx_kwargs: 2023-07-07T19:59:25.7616118Z - diagnostic_context: 2023-07-07T19:59:25.7616381Z - Return value: 2023-07-07T19:59:25.7616652Z [2023-07-07 19:59:05,840] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7616802Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7616807Z 2023-07-07T19:59:25.7617004Z [2023-07-07 19:59:05,841] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7617208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7617214Z 2023-07-07T19:59:25.7617397Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7617666Z - self: 2023-07-07T19:59:25.7617871Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7617971Z - aten_name: 2023-07-07T19:59:25.7618106Z - function_overloads: 2023-07-07T19:59:25.7618222Z - onnx_args: 2023-07-07T19:59:25.7618341Z - onnx_kwargs: 2023-07-07T19:59:25.7618646Z - diagnostic_context: 2023-07-07T19:59:25.7618857Z - Return value: 2023-07-07T19:59:25.7619131Z [2023-07-07 19:59:05,903] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7619277Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7619283Z 2023-07-07T19:59:25.7619500Z [2023-07-07 19:59:05,903] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7619704Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7619710Z 2023-07-07T19:59:25.7619890Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7620160Z - self: 2023-07-07T19:59:25.7620394Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7620509Z - aten_name: 2023-07-07T19:59:25.7620642Z - function_overloads: 2023-07-07T19:59:25.7620757Z - onnx_args: 2023-07-07T19:59:25.7620860Z - onnx_kwargs: 2023-07-07T19:59:25.7621166Z - diagnostic_context: 2023-07-07T19:59:25.7621379Z - Return value: 2023-07-07T19:59:25.7621652Z [2023-07-07 19:59:05,959] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7621800Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7621805Z 2023-07-07T19:59:25.7622009Z [2023-07-07 19:59:05,959] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7622215Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7622221Z 2023-07-07T19:59:25.7622404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7622668Z - self: 2023-07-07T19:59:25.7622886Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7623003Z - aten_name: 2023-07-07T19:59:25.7623136Z - function_overloads: 2023-07-07T19:59:25.7623253Z - onnx_args: 2023-07-07T19:59:25.7623371Z - onnx_kwargs: 2023-07-07T19:59:25.7623674Z - diagnostic_context: 2023-07-07T19:59:25.7623882Z - Return value: 2023-07-07T19:59:25.7624113Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7624567Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7625004Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7625432Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7625856Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7626282Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7626709Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7627131Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7627584Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7628007Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7628456Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7628879Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7629301Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7629720Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 89%] 2023-07-07T19:59:25.7629958Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int64 PASSED [0.4459s] [ 89%] 2023-07-07T19:59:25.7630464Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 [2023-07-07 19:59:06,029] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7630639Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7630645Z 2023-07-07T19:59:25.7630844Z [2023-07-07 19:59:06,029] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7631051Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7631057Z 2023-07-07T19:59:25.7631239Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7631506Z - self: 2023-07-07T19:59:25.7631746Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7631862Z - aten_name: 2023-07-07T19:59:25.7631996Z - function_overloads: 2023-07-07T19:59:25.7632100Z - onnx_args: 2023-07-07T19:59:25.7632217Z - onnx_kwargs: 2023-07-07T19:59:25.7632523Z - diagnostic_context: 2023-07-07T19:59:25.7632735Z - Return value: 2023-07-07T19:59:25.7633009Z [2023-07-07 19:59:06,094] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7633159Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7633165Z 2023-07-07T19:59:25.7633361Z [2023-07-07 19:59:06,095] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7633565Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7633573Z 2023-07-07T19:59:25.7633742Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7634007Z - self: 2023-07-07T19:59:25.7634211Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7634327Z - aten_name: 2023-07-07T19:59:25.7634538Z - function_overloads: 2023-07-07T19:59:25.7634661Z - onnx_args: 2023-07-07T19:59:25.7634778Z - onnx_kwargs: 2023-07-07T19:59:25.7635119Z - diagnostic_context: 2023-07-07T19:59:25.7635321Z - Return value: 2023-07-07T19:59:25.7635591Z [2023-07-07 19:59:06,155] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7635741Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7635773Z 2023-07-07T19:59:25.7635974Z [2023-07-07 19:59:06,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7636177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7636183Z 2023-07-07T19:59:25.7636367Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7636634Z - self: 2023-07-07T19:59:25.7636841Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7636955Z - aten_name: 2023-07-07T19:59:25.7637074Z - function_overloads: 2023-07-07T19:59:25.7637189Z - onnx_args: 2023-07-07T19:59:25.7637309Z - onnx_kwargs: 2023-07-07T19:59:25.7637613Z - diagnostic_context: 2023-07-07T19:59:25.7637825Z - Return value: 2023-07-07T19:59:25.7638099Z [2023-07-07 19:59:06,214] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7638247Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7638291Z 2023-07-07T19:59:25.7638488Z [2023-07-07 19:59:06,214] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7638681Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7638687Z 2023-07-07T19:59:25.7638869Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7639135Z - self: 2023-07-07T19:59:25.7639371Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7639487Z - aten_name: 2023-07-07T19:59:25.7639618Z - function_overloads: 2023-07-07T19:59:25.7639735Z - onnx_args: 2023-07-07T19:59:25.7639839Z - onnx_kwargs: 2023-07-07T19:59:25.7640142Z - diagnostic_context: 2023-07-07T19:59:25.7640356Z - Return value: 2023-07-07T19:59:25.7640626Z [2023-07-07 19:59:06,275] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7640775Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7640781Z 2023-07-07T19:59:25.7640981Z [2023-07-07 19:59:06,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7641185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7641192Z 2023-07-07T19:59:25.7641378Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7641643Z - self: 2023-07-07T19:59:25.7641835Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7641949Z - aten_name: 2023-07-07T19:59:25.7642084Z - function_overloads: 2023-07-07T19:59:25.7642199Z - onnx_args: 2023-07-07T19:59:25.7642317Z - onnx_kwargs: 2023-07-07T19:59:25.7642660Z - diagnostic_context: 2023-07-07T19:59:25.7642874Z - Return value: 2023-07-07T19:59:25.7643146Z [2023-07-07 19:59:06,336] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7643284Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7643317Z 2023-07-07T19:59:25.7643516Z [2023-07-07 19:59:06,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7643720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7643726Z 2023-07-07T19:59:25.7643912Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7644180Z - self: 2023-07-07T19:59:25.7644487Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7644605Z - aten_name: 2023-07-07T19:59:25.7644739Z - function_overloads: 2023-07-07T19:59:25.7644841Z - onnx_args: 2023-07-07T19:59:25.7644958Z - onnx_kwargs: 2023-07-07T19:59:25.7645265Z - diagnostic_context: 2023-07-07T19:59:25.7645481Z - Return value: 2023-07-07T19:59:25.7645753Z [2023-07-07 19:59:06,394] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7645902Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7645907Z 2023-07-07T19:59:25.7646148Z [2023-07-07 19:59:06,394] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7646350Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7646357Z 2023-07-07T19:59:25.7646542Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7646797Z - self: 2023-07-07T19:59:25.7647040Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7647155Z - aten_name: 2023-07-07T19:59:25.7647291Z - function_overloads: 2023-07-07T19:59:25.7647408Z - onnx_args: 2023-07-07T19:59:25.7647526Z - onnx_kwargs: 2023-07-07T19:59:25.7647830Z - diagnostic_context: 2023-07-07T19:59:25.7648045Z - Return value: 2023-07-07T19:59:25.7648238Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7648693Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7649134Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7649568Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7649996Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7650424Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7650884Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7651312Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7651774Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7652200Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7652624Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7653046Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7653469Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7653877Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7654152Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_int8 PASSED [0.4376s] [ 90%] 2023-07-07T19:59:25.7654671Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 [2023-07-07 19:59:06,474] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7654820Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7654856Z 2023-07-07T19:59:25.7655056Z [2023-07-07 19:59:06,474] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7655260Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7655266Z 2023-07-07T19:59:25.7655448Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7655718Z - self: 2023-07-07T19:59:25.7655926Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7656040Z - aten_name: 2023-07-07T19:59:25.7656164Z - function_overloads: 2023-07-07T19:59:25.7656280Z - onnx_args: 2023-07-07T19:59:25.7656398Z - onnx_kwargs: 2023-07-07T19:59:25.7656703Z - diagnostic_context: 2023-07-07T19:59:25.7656916Z - Return value: 2023-07-07T19:59:25.7657186Z [2023-07-07 19:59:06,554] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7657337Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7657343Z 2023-07-07T19:59:25.7657541Z [2023-07-07 19:59:06,554] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7657735Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7657752Z 2023-07-07T19:59:25.7657924Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7658221Z - self: 2023-07-07T19:59:25.7658429Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7658545Z - aten_name: 2023-07-07T19:59:25.7658678Z - function_overloads: 2023-07-07T19:59:25.7658792Z - onnx_args: 2023-07-07T19:59:25.7658935Z - onnx_kwargs: 2023-07-07T19:59:25.7659224Z - diagnostic_context: 2023-07-07T19:59:25.7659439Z - Return value: 2023-07-07T19:59:25.7659712Z [2023-07-07 19:59:06,616] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7659857Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7659862Z 2023-07-07T19:59:25.7660061Z [2023-07-07 19:59:06,616] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7660261Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7660266Z 2023-07-07T19:59:25.7660448Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7660717Z - self: 2023-07-07T19:59:25.7660925Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7661025Z - aten_name: 2023-07-07T19:59:25.7661156Z - function_overloads: 2023-07-07T19:59:25.7661271Z - onnx_args: 2023-07-07T19:59:25.7661416Z - onnx_kwargs: 2023-07-07T19:59:25.7661720Z - diagnostic_context: 2023-07-07T19:59:25.7661930Z - Return value: 2023-07-07T19:59:25.7662204Z [2023-07-07 19:59:06,675] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7662349Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7662384Z 2023-07-07T19:59:25.7662569Z [2023-07-07 19:59:06,675] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7662773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7662779Z 2023-07-07T19:59:25.7662959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7663224Z - self: 2023-07-07T19:59:25.7663433Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7663546Z - aten_name: 2023-07-07T19:59:25.7663678Z - function_overloads: 2023-07-07T19:59:25.7663794Z - onnx_args: 2023-07-07T19:59:25.7663898Z - onnx_kwargs: 2023-07-07T19:59:25.7664202Z - diagnostic_context: 2023-07-07T19:59:25.7664413Z - Return value: 2023-07-07T19:59:25.7664684Z [2023-07-07 19:59:06,741] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7664833Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7664838Z 2023-07-07T19:59:25.7665031Z [2023-07-07 19:59:06,741] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7665235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7665241Z 2023-07-07T19:59:25.7665422Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7665724Z - self: 2023-07-07T19:59:25.7665919Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7666033Z - aten_name: 2023-07-07T19:59:25.7666166Z - function_overloads: 2023-07-07T19:59:25.7666280Z - onnx_args: 2023-07-07T19:59:25.7666422Z - onnx_kwargs: 2023-07-07T19:59:25.7666724Z - diagnostic_context: 2023-07-07T19:59:25.7666934Z - Return value: 2023-07-07T19:59:25.7667193Z [2023-07-07 19:59:06,800] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7667341Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7667347Z 2023-07-07T19:59:25.7667542Z [2023-07-07 19:59:06,800] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7667746Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7667752Z 2023-07-07T19:59:25.7667934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7668202Z - self: 2023-07-07T19:59:25.7668406Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7668519Z - aten_name: 2023-07-07T19:59:25.7668649Z - function_overloads: 2023-07-07T19:59:25.7668752Z - onnx_args: 2023-07-07T19:59:25.7668867Z - onnx_kwargs: 2023-07-07T19:59:25.7669198Z - diagnostic_context: 2023-07-07T19:59:25.7669409Z - Return value: 2023-07-07T19:59:25.7669682Z [2023-07-07 19:59:06,871] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7669828Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7669834Z 2023-07-07T19:59:25.7670030Z [2023-07-07 19:59:06,871] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7670266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7670274Z 2023-07-07T19:59:25.7670456Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7670710Z - self: 2023-07-07T19:59:25.7670917Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7671031Z - aten_name: 2023-07-07T19:59:25.7671162Z - function_overloads: 2023-07-07T19:59:25.7671277Z - onnx_args: 2023-07-07T19:59:25.7671397Z - onnx_kwargs: 2023-07-07T19:59:25.7671698Z - diagnostic_context: 2023-07-07T19:59:25.7671896Z - Return value: 2023-07-07T19:59:25.7672104Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7672554Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7672996Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7673456Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7673883Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7674311Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7674851Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7675281Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7675709Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7676135Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7676560Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7677144Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7677561Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7677988Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7678268Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amax_cpu_uint8 PASSED [0.4746s] [ 90%] 2023-07-07T19:59:25.7678515Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_bool XFAIL [0.0031s] [ 90%] 2023-07-07T19:59:25.7678765Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float16 XFAIL [0.0037s] [ 90%] 2023-07-07T19:59:25.7679278Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 [2023-07-07 19:59:06,977] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7679429Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7679435Z 2023-07-07T19:59:25.7679635Z [2023-07-07 19:59:06,977] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7679843Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7679851Z 2023-07-07T19:59:25.7680037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7680308Z - self: 2023-07-07T19:59:25.7680502Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7680618Z - aten_name: 2023-07-07T19:59:25.7680750Z - function_overloads: 2023-07-07T19:59:25.7680866Z - onnx_args: 2023-07-07T19:59:25.7680983Z - onnx_kwargs: 2023-07-07T19:59:25.7681321Z - diagnostic_context: 2023-07-07T19:59:25.7681535Z - Return value: 2023-07-07T19:59:25.7681808Z [2023-07-07 19:59:07,045] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7681944Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7681976Z 2023-07-07T19:59:25.7682176Z [2023-07-07 19:59:07,045] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7682377Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7682383Z 2023-07-07T19:59:25.7682568Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7682837Z - self: 2023-07-07T19:59:25.7683044Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7683159Z - aten_name: 2023-07-07T19:59:25.7683291Z - function_overloads: 2023-07-07T19:59:25.7683393Z - onnx_args: 2023-07-07T19:59:25.7683513Z - onnx_kwargs: 2023-07-07T19:59:25.7683816Z - diagnostic_context: 2023-07-07T19:59:25.7684030Z - Return value: 2023-07-07T19:59:25.7684301Z [2023-07-07 19:59:07,111] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7684576Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7684586Z 2023-07-07T19:59:25.7684875Z [2023-07-07 19:59:07,111] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7685083Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7685090Z 2023-07-07T19:59:25.7685274Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7685532Z - self: 2023-07-07T19:59:25.7685789Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7685905Z - aten_name: 2023-07-07T19:59:25.7686038Z - function_overloads: 2023-07-07T19:59:25.7686152Z - onnx_args: 2023-07-07T19:59:25.7686269Z - onnx_kwargs: 2023-07-07T19:59:25.7686574Z - diagnostic_context: 2023-07-07T19:59:25.7686775Z - Return value: 2023-07-07T19:59:25.7687046Z [2023-07-07 19:59:07,191] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7687194Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7687200Z 2023-07-07T19:59:25.7687396Z [2023-07-07 19:59:07,191] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7687595Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7687603Z 2023-07-07T19:59:25.7687786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7688052Z - self: 2023-07-07T19:59:25.7688256Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7688369Z - aten_name: 2023-07-07T19:59:25.7688491Z - function_overloads: 2023-07-07T19:59:25.7688608Z - onnx_args: 2023-07-07T19:59:25.7688724Z - onnx_kwargs: 2023-07-07T19:59:25.7689067Z - diagnostic_context: 2023-07-07T19:59:25.7689280Z - Return value: 2023-07-07T19:59:25.7689553Z [2023-07-07 19:59:07,253] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7689701Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7689739Z 2023-07-07T19:59:25.7689939Z [2023-07-07 19:59:07,253] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7690130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7690147Z 2023-07-07T19:59:25.7690321Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7690587Z - self: 2023-07-07T19:59:25.7690793Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7690907Z - aten_name: 2023-07-07T19:59:25.7691040Z - function_overloads: 2023-07-07T19:59:25.7691156Z - onnx_args: 2023-07-07T19:59:25.7691271Z - onnx_kwargs: 2023-07-07T19:59:25.7691565Z - diagnostic_context: 2023-07-07T19:59:25.7691780Z - Return value: 2023-07-07T19:59:25.7692056Z [2023-07-07 19:59:07,317] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7692202Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7692208Z 2023-07-07T19:59:25.7692446Z [2023-07-07 19:59:07,317] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7692652Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7692657Z 2023-07-07T19:59:25.7692842Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7693107Z - self: 2023-07-07T19:59:25.7693343Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7693465Z - aten_name: 2023-07-07T19:59:25.7693650Z - function_overloads: 2023-07-07T19:59:25.7693769Z - onnx_args: 2023-07-07T19:59:25.7693885Z - onnx_kwargs: 2023-07-07T19:59:25.7694189Z - diagnostic_context: 2023-07-07T19:59:25.7694402Z - Return value: 2023-07-07T19:59:25.7694673Z [2023-07-07 19:59:07,375] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7694820Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7694826Z 2023-07-07T19:59:25.7695013Z [2023-07-07 19:59:07,375] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7695215Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7695223Z 2023-07-07T19:59:25.7695404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7695677Z - self: 2023-07-07T19:59:25.7695882Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7695995Z - aten_name: 2023-07-07T19:59:25.7696129Z - function_overloads: 2023-07-07T19:59:25.7696243Z - onnx_args: 2023-07-07T19:59:25.7696347Z - onnx_kwargs: 2023-07-07T19:59:25.7696682Z - diagnostic_context: 2023-07-07T19:59:25.7696897Z - Return value: 2023-07-07T19:59:25.7697103Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7697560Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7698034Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7698467Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7698899Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7699325Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7699753Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7700179Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7700623Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7701051Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7701474Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7701929Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7702355Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7702783Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7703034Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_float32 PASSED [0.4876s] [ 90%] 2023-07-07T19:59:25.7703548Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 [2023-07-07 19:59:07,445] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7703697Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7703703Z 2023-07-07T19:59:25.7703904Z [2023-07-07 19:59:07,445] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7704108Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7704115Z 2023-07-07T19:59:25.7704328Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7704599Z - self: 2023-07-07T19:59:25.7704792Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7704910Z - aten_name: 2023-07-07T19:59:25.7705043Z - function_overloads: 2023-07-07T19:59:25.7705187Z - onnx_args: 2023-07-07T19:59:25.7705304Z - onnx_kwargs: 2023-07-07T19:59:25.7705609Z - diagnostic_context: 2023-07-07T19:59:25.7705822Z - Return value: 2023-07-07T19:59:25.7706086Z [2023-07-07 19:59:07,510] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7706233Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7706239Z 2023-07-07T19:59:25.7706440Z [2023-07-07 19:59:07,510] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7706642Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7706648Z 2023-07-07T19:59:25.7706834Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7707102Z - self: 2023-07-07T19:59:25.7707305Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7707473Z - aten_name: 2023-07-07T19:59:25.7707648Z - function_overloads: 2023-07-07T19:59:25.7707754Z - onnx_args: 2023-07-07T19:59:25.7707905Z - onnx_kwargs: 2023-07-07T19:59:25.7708211Z - diagnostic_context: 2023-07-07T19:59:25.7708426Z - Return value: 2023-07-07T19:59:25.7708698Z [2023-07-07 19:59:07,573] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7708845Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7708879Z 2023-07-07T19:59:25.7709078Z [2023-07-07 19:59:07,573] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7709284Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7709290Z 2023-07-07T19:59:25.7709474Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7709732Z - self: 2023-07-07T19:59:25.7709938Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7710054Z - aten_name: 2023-07-07T19:59:25.7710188Z - function_overloads: 2023-07-07T19:59:25.7710306Z - onnx_args: 2023-07-07T19:59:25.7710423Z - onnx_kwargs: 2023-07-07T19:59:25.7710730Z - diagnostic_context: 2023-07-07T19:59:25.7710931Z - Return value: 2023-07-07T19:59:25.7711202Z [2023-07-07 19:59:07,635] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7711352Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7711358Z 2023-07-07T19:59:25.7711554Z [2023-07-07 19:59:07,635] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7711757Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7711763Z 2023-07-07T19:59:25.7711947Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7712240Z - self: 2023-07-07T19:59:25.7712446Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7712560Z - aten_name: 2023-07-07T19:59:25.7712682Z - function_overloads: 2023-07-07T19:59:25.7712799Z - onnx_args: 2023-07-07T19:59:25.7712945Z - onnx_kwargs: 2023-07-07T19:59:25.7713250Z - diagnostic_context: 2023-07-07T19:59:25.7713462Z - Return value: 2023-07-07T19:59:25.7713736Z [2023-07-07 19:59:07,698] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7713883Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7713889Z 2023-07-07T19:59:25.7714090Z [2023-07-07 19:59:07,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7714279Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7714284Z 2023-07-07T19:59:25.7714534Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7714811Z - self: 2023-07-07T19:59:25.7715019Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7715133Z - aten_name: 2023-07-07T19:59:25.7715266Z - function_overloads: 2023-07-07T19:59:25.7715382Z - onnx_args: 2023-07-07T19:59:25.7715500Z - onnx_kwargs: 2023-07-07T19:59:25.7715826Z - diagnostic_context: 2023-07-07T19:59:25.7716040Z - Return value: 2023-07-07T19:59:25.7716314Z [2023-07-07 19:59:07,768] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7716515Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7716524Z 2023-07-07T19:59:25.7716769Z [2023-07-07 19:59:07,768] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7716975Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7716983Z 2023-07-07T19:59:25.7717220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7717501Z - self: 2023-07-07T19:59:25.7717759Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7717860Z - aten_name: 2023-07-07T19:59:25.7717992Z - function_overloads: 2023-07-07T19:59:25.7718109Z - onnx_args: 2023-07-07T19:59:25.7718227Z - onnx_kwargs: 2023-07-07T19:59:25.7718531Z - diagnostic_context: 2023-07-07T19:59:25.7718744Z - Return value: 2023-07-07T19:59:25.7719019Z [2023-07-07 19:59:07,823] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7719156Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7719175Z 2023-07-07T19:59:25.7719359Z [2023-07-07 19:59:07,823] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7719561Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7719567Z 2023-07-07T19:59:25.7719749Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7720055Z - self: 2023-07-07T19:59:25.7720261Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7720378Z - aten_name: 2023-07-07T19:59:25.7720512Z - function_overloads: 2023-07-07T19:59:25.7720627Z - onnx_args: 2023-07-07T19:59:25.7720760Z - onnx_kwargs: 2023-07-07T19:59:25.7721062Z - diagnostic_context: 2023-07-07T19:59:25.7721274Z - Return value: 2023-07-07T19:59:25.7721479Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7721935Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7722380Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7722810Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7723242Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7723698Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7724124Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7724619Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7725099Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7725528Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7725957Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7726384Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7726848Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7727275Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 90%] 2023-07-07T19:59:25.7727525Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int16 PASSED [0.4472s] [ 90%] 2023-07-07T19:59:25.7728081Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 [2023-07-07 19:59:07,891] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7728243Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7728252Z 2023-07-07T19:59:25.7728453Z [2023-07-07 19:59:07,891] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7728658Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7728700Z 2023-07-07T19:59:25.7728884Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7729141Z - self: 2023-07-07T19:59:25.7729350Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7729466Z - aten_name: 2023-07-07T19:59:25.7729601Z - function_overloads: 2023-07-07T19:59:25.7729717Z - onnx_args: 2023-07-07T19:59:25.7729835Z - onnx_kwargs: 2023-07-07T19:59:25.7730143Z - diagnostic_context: 2023-07-07T19:59:25.7730355Z - Return value: 2023-07-07T19:59:25.7730616Z [2023-07-07 19:59:07,979] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7730767Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7730775Z 2023-07-07T19:59:25.7730971Z [2023-07-07 19:59:07,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7731173Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7731179Z 2023-07-07T19:59:25.7731393Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7731664Z - self: 2023-07-07T19:59:25.7731870Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7731982Z - aten_name: 2023-07-07T19:59:25.7732102Z - function_overloads: 2023-07-07T19:59:25.7732216Z - onnx_args: 2023-07-07T19:59:25.7732360Z - onnx_kwargs: 2023-07-07T19:59:25.7732665Z - diagnostic_context: 2023-07-07T19:59:25.7732880Z - Return value: 2023-07-07T19:59:25.7733151Z [2023-07-07 19:59:08,063] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7733297Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7733305Z 2023-07-07T19:59:25.7733502Z [2023-07-07 19:59:08,063] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7733705Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7733711Z 2023-07-07T19:59:25.7733883Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7734150Z - self: 2023-07-07T19:59:25.7734358Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7734473Z - aten_name: 2023-07-07T19:59:25.7734604Z - function_overloads: 2023-07-07T19:59:25.7734720Z - onnx_args: 2023-07-07T19:59:25.7734837Z - onnx_kwargs: 2023-07-07T19:59:25.7735129Z - diagnostic_context: 2023-07-07T19:59:25.7735344Z - Return value: 2023-07-07T19:59:25.7735617Z [2023-07-07 19:59:08,134] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7735791Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7735798Z 2023-07-07T19:59:25.7736022Z [2023-07-07 19:59:08,135] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7736223Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7736231Z 2023-07-07T19:59:25.7736468Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7736737Z - self: 2023-07-07T19:59:25.7736943Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7737045Z - aten_name: 2023-07-07T19:59:25.7737180Z - function_overloads: 2023-07-07T19:59:25.7737295Z - onnx_args: 2023-07-07T19:59:25.7737413Z - onnx_kwargs: 2023-07-07T19:59:25.7737717Z - diagnostic_context: 2023-07-07T19:59:25.7737929Z - Return value: 2023-07-07T19:59:25.7738224Z [2023-07-07 19:59:08,193] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7738374Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7738381Z 2023-07-07T19:59:25.7738567Z [2023-07-07 19:59:08,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7738769Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7738774Z 2023-07-07T19:59:25.7738986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7739254Z - self: 2023-07-07T19:59:25.7739462Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7739575Z - aten_name: 2023-07-07T19:59:25.7739707Z - function_overloads: 2023-07-07T19:59:25.7739821Z - onnx_args: 2023-07-07T19:59:25.7739925Z - onnx_kwargs: 2023-07-07T19:59:25.7740253Z - diagnostic_context: 2023-07-07T19:59:25.7740466Z - Return value: 2023-07-07T19:59:25.7740738Z [2023-07-07 19:59:08,253] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7740882Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7740887Z 2023-07-07T19:59:25.7741086Z [2023-07-07 19:59:08,253] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7741286Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7741292Z 2023-07-07T19:59:25.7741475Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7741742Z - self: 2023-07-07T19:59:25.7741937Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7742048Z - aten_name: 2023-07-07T19:59:25.7742182Z - function_overloads: 2023-07-07T19:59:25.7742297Z - onnx_args: 2023-07-07T19:59:25.7742412Z - onnx_kwargs: 2023-07-07T19:59:25.7742714Z - diagnostic_context: 2023-07-07T19:59:25.7742927Z - Return value: 2023-07-07T19:59:25.7743275Z [2023-07-07 19:59:08,316] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7743501Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7743509Z 2023-07-07T19:59:25.7743716Z [2023-07-07 19:59:08,316] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7743914Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7743922Z 2023-07-07T19:59:25.7744105Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7744401Z - self: 2023-07-07T19:59:25.7744607Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7744720Z - aten_name: 2023-07-07T19:59:25.7744854Z - function_overloads: 2023-07-07T19:59:25.7744957Z - onnx_args: 2023-07-07T19:59:25.7745075Z - onnx_kwargs: 2023-07-07T19:59:25.7745380Z - diagnostic_context: 2023-07-07T19:59:25.7745593Z - Return value: 2023-07-07T19:59:25.7745797Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7746249Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7746693Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7747161Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7747591Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7748016Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7748479Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7748914Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7749343Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7749772Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7750196Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7750627Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7751087Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7751537Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7751807Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int32 PASSED [0.4951s] [ 91%] 2023-07-07T19:59:25.7752315Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 [2023-07-07 19:59:08,408] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7752492Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7752498Z 2023-07-07T19:59:25.7752698Z [2023-07-07 19:59:08,408] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7752903Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7752909Z 2023-07-07T19:59:25.7753093Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7753350Z - self: 2023-07-07T19:59:25.7753555Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7753672Z - aten_name: 2023-07-07T19:59:25.7753805Z - function_overloads: 2023-07-07T19:59:25.7753924Z - onnx_args: 2023-07-07T19:59:25.7754041Z - onnx_kwargs: 2023-07-07T19:59:25.7754344Z - diagnostic_context: 2023-07-07T19:59:25.7754609Z - Return value: 2023-07-07T19:59:25.7754920Z [2023-07-07 19:59:08,492] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7755068Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7755073Z 2023-07-07T19:59:25.7755272Z [2023-07-07 19:59:08,492] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7755475Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7755481Z 2023-07-07T19:59:25.7755698Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7755965Z - self: 2023-07-07T19:59:25.7756174Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7756291Z - aten_name: 2023-07-07T19:59:25.7756410Z - function_overloads: 2023-07-07T19:59:25.7756527Z - onnx_args: 2023-07-07T19:59:25.7756647Z - onnx_kwargs: 2023-07-07T19:59:25.7756954Z - diagnostic_context: 2023-07-07T19:59:25.7757165Z - Return value: 2023-07-07T19:59:25.7757438Z [2023-07-07 19:59:08,550] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7757585Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7757593Z 2023-07-07T19:59:25.7757817Z [2023-07-07 19:59:08,551] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7758011Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7758028Z 2023-07-07T19:59:25.7758199Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7758492Z - self: 2023-07-07T19:59:25.7758698Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7758813Z - aten_name: 2023-07-07T19:59:25.7758946Z - function_overloads: 2023-07-07T19:59:25.7759094Z - onnx_args: 2023-07-07T19:59:25.7759213Z - onnx_kwargs: 2023-07-07T19:59:25.7759505Z - diagnostic_context: 2023-07-07T19:59:25.7759720Z - Return value: 2023-07-07T19:59:25.7759991Z [2023-07-07 19:59:08,630] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7760164Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7760169Z 2023-07-07T19:59:25.7760368Z [2023-07-07 19:59:08,630] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7760570Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7760575Z 2023-07-07T19:59:25.7760758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7761028Z - self: 2023-07-07T19:59:25.7761235Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7761336Z - aten_name: 2023-07-07T19:59:25.7761471Z - function_overloads: 2023-07-07T19:59:25.7761586Z - onnx_args: 2023-07-07T19:59:25.7761705Z - onnx_kwargs: 2023-07-07T19:59:25.7762011Z - diagnostic_context: 2023-07-07T19:59:25.7762221Z - Return value: 2023-07-07T19:59:25.7762519Z [2023-07-07 19:59:08,692] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7762657Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7762675Z 2023-07-07T19:59:25.7762859Z [2023-07-07 19:59:08,692] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7763061Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7763067Z 2023-07-07T19:59:25.7763248Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7763542Z - self: 2023-07-07T19:59:25.7763748Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7763861Z - aten_name: 2023-07-07T19:59:25.7763993Z - function_overloads: 2023-07-07T19:59:25.7764109Z - onnx_args: 2023-07-07T19:59:25.7764213Z - onnx_kwargs: 2023-07-07T19:59:25.7764667Z - diagnostic_context: 2023-07-07T19:59:25.7764889Z - Return value: 2023-07-07T19:59:25.7765164Z [2023-07-07 19:59:08,762] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7765312Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7765317Z 2023-07-07T19:59:25.7765518Z [2023-07-07 19:59:08,763] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7765719Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7765728Z 2023-07-07T19:59:25.7765909Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7766175Z - self: 2023-07-07T19:59:25.7766370Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7766484Z - aten_name: 2023-07-07T19:59:25.7766614Z - function_overloads: 2023-07-07T19:59:25.7766730Z - onnx_args: 2023-07-07T19:59:25.7766906Z - onnx_kwargs: 2023-07-07T19:59:25.7767213Z - diagnostic_context: 2023-07-07T19:59:25.7767426Z - Return value: 2023-07-07T19:59:25.7767687Z [2023-07-07 19:59:08,819] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7767902Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7767909Z 2023-07-07T19:59:25.7768109Z [2023-07-07 19:59:08,819] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7768316Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7768321Z 2023-07-07T19:59:25.7768506Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7768773Z - self: 2023-07-07T19:59:25.7768979Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7769104Z - aten_name: 2023-07-07T19:59:25.7769236Z - function_overloads: 2023-07-07T19:59:25.7769341Z - onnx_args: 2023-07-07T19:59:25.7769459Z - onnx_kwargs: 2023-07-07T19:59:25.7769765Z - diagnostic_context: 2023-07-07T19:59:25.7769978Z - Return value: 2023-07-07T19:59:25.7770186Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7770676Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7771123Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7771552Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7772017Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7772435Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7772862Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7773285Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7773714Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7774138Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7774579Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7775058Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7775491Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7775921Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7776201Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int64 PASSED [0.5008s] [ 91%] 2023-07-07T19:59:25.7776711Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 [2023-07-07 19:59:08,895] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7776861Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7776867Z 2023-07-07T19:59:25.7777067Z [2023-07-07 19:59:08,895] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7777270Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7777280Z 2023-07-07T19:59:25.7777451Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7777720Z - self: 2023-07-07T19:59:25.7777925Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7778065Z - aten_name: 2023-07-07T19:59:25.7778201Z - function_overloads: 2023-07-07T19:59:25.7778317Z - onnx_args: 2023-07-07T19:59:25.7778435Z - onnx_kwargs: 2023-07-07T19:59:25.7778729Z - diagnostic_context: 2023-07-07T19:59:25.7778940Z - Return value: 2023-07-07T19:59:25.7779214Z [2023-07-07 19:59:09,182] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7779391Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7779400Z 2023-07-07T19:59:25.7779600Z [2023-07-07 19:59:09,182] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7779803Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7779809Z 2023-07-07T19:59:25.7779993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7780261Z - self: 2023-07-07T19:59:25.7780468Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7780569Z - aten_name: 2023-07-07T19:59:25.7780700Z - function_overloads: 2023-07-07T19:59:25.7780815Z - onnx_args: 2023-07-07T19:59:25.7780933Z - onnx_kwargs: 2023-07-07T19:59:25.7781236Z - diagnostic_context: 2023-07-07T19:59:25.7781452Z - Return value: 2023-07-07T19:59:25.7781722Z [2023-07-07 19:59:09,242] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7781869Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7781874Z 2023-07-07T19:59:25.7782087Z [2023-07-07 19:59:09,242] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7782290Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7782327Z 2023-07-07T19:59:25.7782511Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7782781Z - self: 2023-07-07T19:59:25.7782990Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7783181Z - aten_name: 2023-07-07T19:59:25.7783331Z - function_overloads: 2023-07-07T19:59:25.7783447Z - onnx_args: 2023-07-07T19:59:25.7783550Z - onnx_kwargs: 2023-07-07T19:59:25.7783914Z - diagnostic_context: 2023-07-07T19:59:25.7784133Z - Return value: 2023-07-07T19:59:25.7784420Z [2023-07-07 19:59:09,302] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7784581Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7784587Z 2023-07-07T19:59:25.7784786Z [2023-07-07 19:59:09,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7784988Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7784997Z 2023-07-07T19:59:25.7785181Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7785451Z - self: 2023-07-07T19:59:25.7785644Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7785759Z - aten_name: 2023-07-07T19:59:25.7785922Z - function_overloads: 2023-07-07T19:59:25.7786040Z - onnx_args: 2023-07-07T19:59:25.7786156Z - onnx_kwargs: 2023-07-07T19:59:25.7786465Z - diagnostic_context: 2023-07-07T19:59:25.7786676Z - Return value: 2023-07-07T19:59:25.7786949Z [2023-07-07 19:59:09,363] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7787122Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7787129Z 2023-07-07T19:59:25.7787326Z [2023-07-07 19:59:09,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7787528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7787534Z 2023-07-07T19:59:25.7787720Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7787989Z - self: 2023-07-07T19:59:25.7788194Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7788309Z - aten_name: 2023-07-07T19:59:25.7788439Z - function_overloads: 2023-07-07T19:59:25.7788542Z - onnx_args: 2023-07-07T19:59:25.7788658Z - onnx_kwargs: 2023-07-07T19:59:25.7788963Z - diagnostic_context: 2023-07-07T19:59:25.7789176Z - Return value: 2023-07-07T19:59:25.7789449Z [2023-07-07 19:59:09,427] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7789596Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7789602Z 2023-07-07T19:59:25.7789800Z [2023-07-07 19:59:09,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7790004Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7790009Z 2023-07-07T19:59:25.7790220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7790476Z - self: 2023-07-07T19:59:25.7790681Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7790794Z - aten_name: 2023-07-07T19:59:25.7790953Z - function_overloads: 2023-07-07T19:59:25.7791070Z - onnx_args: 2023-07-07T19:59:25.7791188Z - onnx_kwargs: 2023-07-07T19:59:25.7791495Z - diagnostic_context: 2023-07-07T19:59:25.7791693Z - Return value: 2023-07-07T19:59:25.7791967Z [2023-07-07 19:59:09,517] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7792112Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7792121Z 2023-07-07T19:59:25.7792317Z [2023-07-07 19:59:09,517] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7792519Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7792526Z 2023-07-07T19:59:25.7792708Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7792976Z - self: 2023-07-07T19:59:25.7793180Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7793295Z - aten_name: 2023-07-07T19:59:25.7793414Z - function_overloads: 2023-07-07T19:59:25.7793584Z - onnx_args: 2023-07-07T19:59:25.7793703Z - onnx_kwargs: 2023-07-07T19:59:25.7794006Z - diagnostic_context: 2023-07-07T19:59:25.7794319Z - Return value: 2023-07-07T19:59:25.7794596Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7795054Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7795534Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7795966Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7796384Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7796811Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7797237Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7797662Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7798086Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7798553Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7798976Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7799424Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7799866Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7800301Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7800550Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_int8 PASSED [0.6950s] [ 91%] 2023-07-07T19:59:25.7801059Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 [2023-07-07 19:59:09,597] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7801208Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7801215Z 2023-07-07T19:59:25.7801416Z [2023-07-07 19:59:09,597] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7801642Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7801661Z 2023-07-07T19:59:25.7801834Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7802104Z - self: 2023-07-07T19:59:25.7802311Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7802424Z - aten_name: 2023-07-07T19:59:25.7802586Z - function_overloads: 2023-07-07T19:59:25.7802702Z - onnx_args: 2023-07-07T19:59:25.7802821Z - onnx_kwargs: 2023-07-07T19:59:25.7803111Z - diagnostic_context: 2023-07-07T19:59:25.7803323Z - Return value: 2023-07-07T19:59:25.7803594Z [2023-07-07 19:59:09,659] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7803741Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7803746Z 2023-07-07T19:59:25.7803949Z [2023-07-07 19:59:09,659] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7804151Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7804157Z 2023-07-07T19:59:25.7804340Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7804703Z - self: 2023-07-07T19:59:25.7804910Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7805011Z - aten_name: 2023-07-07T19:59:25.7805143Z - function_overloads: 2023-07-07T19:59:25.7805259Z - onnx_args: 2023-07-07T19:59:25.7805377Z - onnx_kwargs: 2023-07-07T19:59:25.7805685Z - diagnostic_context: 2023-07-07T19:59:25.7805897Z - Return value: 2023-07-07T19:59:25.7806220Z [2023-07-07 19:59:09,737] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7806356Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7806375Z 2023-07-07T19:59:25.7806562Z [2023-07-07 19:59:09,737] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7806761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7806801Z 2023-07-07T19:59:25.7806986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7807253Z - self: 2023-07-07T19:59:25.7807460Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7807574Z - aten_name: 2023-07-07T19:59:25.7807710Z - function_overloads: 2023-07-07T19:59:25.7807829Z - onnx_args: 2023-07-07T19:59:25.7807933Z - onnx_kwargs: 2023-07-07T19:59:25.7808234Z - diagnostic_context: 2023-07-07T19:59:25.7808445Z - Return value: 2023-07-07T19:59:25.7808717Z [2023-07-07 19:59:09,804] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7808866Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7808872Z 2023-07-07T19:59:25.7809071Z [2023-07-07 19:59:09,804] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7809304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7809311Z 2023-07-07T19:59:25.7809496Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7809765Z - self: 2023-07-07T19:59:25.7809956Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7810067Z - aten_name: 2023-07-07T19:59:25.7810198Z - function_overloads: 2023-07-07T19:59:25.7810350Z - onnx_args: 2023-07-07T19:59:25.7810467Z - onnx_kwargs: 2023-07-07T19:59:25.7810775Z - diagnostic_context: 2023-07-07T19:59:25.7810985Z - Return value: 2023-07-07T19:59:25.7811244Z [2023-07-07 19:59:09,875] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7811392Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7811398Z 2023-07-07T19:59:25.7811596Z [2023-07-07 19:59:09,875] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7811797Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7811803Z 2023-07-07T19:59:25.7811987Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7812256Z - self: 2023-07-07T19:59:25.7812465Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7812578Z - aten_name: 2023-07-07T19:59:25.7812710Z - function_overloads: 2023-07-07T19:59:25.7812813Z - onnx_args: 2023-07-07T19:59:25.7812929Z - onnx_kwargs: 2023-07-07T19:59:25.7813234Z - diagnostic_context: 2023-07-07T19:59:25.7813446Z - Return value: 2023-07-07T19:59:25.7813744Z [2023-07-07 19:59:09,935] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7813892Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7813898Z 2023-07-07T19:59:25.7814092Z [2023-07-07 19:59:09,935] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7814295Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7814327Z 2023-07-07T19:59:25.7814498Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7814765Z - self: 2023-07-07T19:59:25.7814971Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7815084Z - aten_name: 2023-07-07T19:59:25.7815216Z - function_overloads: 2023-07-07T19:59:25.7815331Z - onnx_args: 2023-07-07T19:59:25.7815449Z - onnx_kwargs: 2023-07-07T19:59:25.7815751Z - diagnostic_context: 2023-07-07T19:59:25.7815951Z - Return value: 2023-07-07T19:59:25.7816226Z [2023-07-07 19:59:09,992] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7816374Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7816379Z 2023-07-07T19:59:25.7816575Z [2023-07-07 19:59:09,992] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7816779Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7816810Z 2023-07-07T19:59:25.7816995Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7817261Z - self: 2023-07-07T19:59:25.7817465Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7817579Z - aten_name: 2023-07-07T19:59:25.7817698Z - function_overloads: 2023-07-07T19:59:25.7817843Z - onnx_args: 2023-07-07T19:59:25.7817959Z - onnx_kwargs: 2023-07-07T19:59:25.7818264Z - diagnostic_context: 2023-07-07T19:59:25.7818475Z - Return value: 2023-07-07T19:59:25.7818681Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7819133Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7819575Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7819994Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7820423Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7820853Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7821278Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7821731Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7822158Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7822609Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7823034Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7823458Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7823879Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7824304Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 91%] 2023-07-07T19:59:25.7824550Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_amin_cpu_uint8 PASSED [0.4732s] [ 91%] 2023-07-07T19:59:25.7829731Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_mean_cpu_float16 XFAIL [0.0029s] [ 91%] 2023-07-07T19:59:25.7830034Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_mean_cpu_float32 XFAIL [0.0025s] [ 92%] 2023-07-07T19:59:25.7830291Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_mean_cpu_int16 XFAIL [0.0019s] [ 92%] 2023-07-07T19:59:25.7830541Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_mean_cpu_int32 XFAIL [0.0019s] [ 92%] 2023-07-07T19:59:25.7830823Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_mean_cpu_int64 XFAIL [0.0019s] [ 92%] 2023-07-07T19:59:25.7831070Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_mean_cpu_int8 XFAIL [0.0019s] [ 92%] 2023-07-07T19:59:25.7831318Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_mean_cpu_uint8 XFAIL [0.0018s] [ 92%] 2023-07-07T19:59:25.7831865Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool [2023-07-07 19:59:10,087] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7832004Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7832028Z 2023-07-07T19:59:25.7832222Z [2023-07-07 19:59:10,087] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7832430Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7832437Z 2023-07-07T19:59:25.7832622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7832897Z - self: 2023-07-07T19:59:25.7833108Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7833227Z - aten_name: 2023-07-07T19:59:25.7833362Z - function_overloads: 2023-07-07T19:59:25.7833521Z - onnx_args: 2023-07-07T19:59:25.7833628Z - onnx_kwargs: 2023-07-07T19:59:25.7833937Z - diagnostic_context: 2023-07-07T19:59:25.7834156Z - Return value: 2023-07-07T19:59:25.7834431Z [2023-07-07 19:59:10,148] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7834726Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7834733Z 2023-07-07T19:59:25.7834937Z [2023-07-07 19:59:10,148] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7835147Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7835154Z 2023-07-07T19:59:25.7835342Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7835617Z - self: 2023-07-07T19:59:25.7835812Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7835928Z - aten_name: 2023-07-07T19:59:25.7836067Z - function_overloads: 2023-07-07T19:59:25.7836183Z - onnx_args: 2023-07-07T19:59:25.7836305Z - onnx_kwargs: 2023-07-07T19:59:25.7836619Z - diagnostic_context: 2023-07-07T19:59:25.7836833Z - Return value: 2023-07-07T19:59:25.7837120Z [2023-07-07 19:59:10,225] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7837271Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7837277Z 2023-07-07T19:59:25.7837508Z [2023-07-07 19:59:10,226] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7837782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7837789Z 2023-07-07T19:59:25.7837975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7838286Z - self: 2023-07-07T19:59:25.7838494Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7838609Z - aten_name: 2023-07-07T19:59:25.7838742Z - function_overloads: 2023-07-07T19:59:25.7838845Z - onnx_args: 2023-07-07T19:59:25.7838963Z - onnx_kwargs: 2023-07-07T19:59:25.7839271Z - diagnostic_context: 2023-07-07T19:59:25.7839483Z - Return value: 2023-07-07T19:59:25.7839761Z [2023-07-07 19:59:10,286] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7839910Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7839916Z 2023-07-07T19:59:25.7840117Z [2023-07-07 19:59:10,287] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7840320Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7840329Z 2023-07-07T19:59:25.7840501Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7840770Z - self: 2023-07-07T19:59:25.7840980Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7841095Z - aten_name: 2023-07-07T19:59:25.7841232Z - function_overloads: 2023-07-07T19:59:25.7841376Z - onnx_args: 2023-07-07T19:59:25.7841496Z - onnx_kwargs: 2023-07-07T19:59:25.7841801Z - diagnostic_context: 2023-07-07T19:59:25.7842000Z - Return value: 2023-07-07T19:59:25.7842275Z [2023-07-07 19:59:10,352] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7842452Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7842458Z 2023-07-07T19:59:25.7842658Z [2023-07-07 19:59:10,352] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7842866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7842872Z 2023-07-07T19:59:25.7843055Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7843326Z - self: 2023-07-07T19:59:25.7843531Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7843645Z - aten_name: 2023-07-07T19:59:25.7843767Z - function_overloads: 2023-07-07T19:59:25.7843884Z - onnx_args: 2023-07-07T19:59:25.7844002Z - onnx_kwargs: 2023-07-07T19:59:25.7844312Z - diagnostic_context: 2023-07-07T19:59:25.7844683Z - Return value: 2023-07-07T19:59:25.7844973Z [2023-07-07 19:59:10,415] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7845183Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7845190Z 2023-07-07T19:59:25.7845391Z [2023-07-07 19:59:10,415] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7845583Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7845589Z 2023-07-07T19:59:25.7845775Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7846079Z - self: 2023-07-07T19:59:25.7846288Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7846404Z - aten_name: 2023-07-07T19:59:25.7846538Z - function_overloads: 2023-07-07T19:59:25.7846658Z - onnx_args: 2023-07-07T19:59:25.7846778Z - onnx_kwargs: 2023-07-07T19:59:25.7847071Z - diagnostic_context: 2023-07-07T19:59:25.7847282Z - Return value: 2023-07-07T19:59:25.7847561Z [2023-07-07 19:59:10,471] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7847711Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7847718Z 2023-07-07T19:59:25.7847920Z [2023-07-07 19:59:10,471] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7848124Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7848133Z 2023-07-07T19:59:25.7848316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7848584Z - self: 2023-07-07T19:59:25.7848791Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7848893Z - aten_name: 2023-07-07T19:59:25.7849025Z - function_overloads: 2023-07-07T19:59:25.7849141Z - onnx_args: 2023-07-07T19:59:25.7849297Z - onnx_kwargs: 2023-07-07T19:59:25.7849605Z - diagnostic_context: 2023-07-07T19:59:25.7849816Z - Return value: 2023-07-07T19:59:25.7850028Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7850504Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7850944Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7851378Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7851808Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7852238Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7852666Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7853118Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7853546Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7853970Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7854420Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7854845Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7855270Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7855714Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7855968Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_bool PASSED [0.4514s] [ 93%] 2023-07-07T19:59:25.7856212Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float16 XFAIL [0.0028s] [ 93%] 2023-07-07T19:59:25.7856726Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 [2023-07-07 19:59:10,558] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7856874Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7856880Z 2023-07-07T19:59:25.7857106Z [2023-07-07 19:59:10,558] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7857313Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7857319Z 2023-07-07T19:59:25.7857504Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7857778Z - self: 2023-07-07T19:59:25.7858010Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7858128Z - aten_name: 2023-07-07T19:59:25.7858260Z - function_overloads: 2023-07-07T19:59:25.7858364Z - onnx_args: 2023-07-07T19:59:25.7858483Z - onnx_kwargs: 2023-07-07T19:59:25.7858790Z - diagnostic_context: 2023-07-07T19:59:25.7859002Z - Return value: 2023-07-07T19:59:25.7859278Z [2023-07-07 19:59:10,620] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7859428Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7859436Z 2023-07-07T19:59:25.7859633Z [2023-07-07 19:59:10,620] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7859846Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7859851Z 2023-07-07T19:59:25.7860024Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7860294Z - self: 2023-07-07T19:59:25.7860538Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7860654Z - aten_name: 2023-07-07T19:59:25.7860787Z - function_overloads: 2023-07-07T19:59:25.7860904Z - onnx_args: 2023-07-07T19:59:25.7861022Z - onnx_kwargs: 2023-07-07T19:59:25.7861330Z - diagnostic_context: 2023-07-07T19:59:25.7861529Z - Return value: 2023-07-07T19:59:25.7861853Z [2023-07-07 19:59:10,695] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7862004Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7862010Z 2023-07-07T19:59:25.7862208Z [2023-07-07 19:59:10,695] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7862416Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7862422Z 2023-07-07T19:59:25.7862606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7862875Z - self: 2023-07-07T19:59:25.7863081Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7863195Z - aten_name: 2023-07-07T19:59:25.7863317Z - function_overloads: 2023-07-07T19:59:25.7863432Z - onnx_args: 2023-07-07T19:59:25.7863552Z - onnx_kwargs: 2023-07-07T19:59:25.7863857Z - diagnostic_context: 2023-07-07T19:59:25.7864067Z - Return value: 2023-07-07T19:59:25.7864340Z [2023-07-07 19:59:10,759] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7864493Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7864498Z 2023-07-07T19:59:25.7864696Z [2023-07-07 19:59:10,759] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7864911Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7864917Z 2023-07-07T19:59:25.7865101Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7865372Z - self: 2023-07-07T19:59:25.7865608Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7865721Z - aten_name: 2023-07-07T19:59:25.7865855Z - function_overloads: 2023-07-07T19:59:25.7865971Z - onnx_args: 2023-07-07T19:59:25.7866088Z - onnx_kwargs: 2023-07-07T19:59:25.7866384Z - diagnostic_context: 2023-07-07T19:59:25.7866595Z - Return value: 2023-07-07T19:59:25.7866870Z [2023-07-07 19:59:10,822] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7867017Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7867022Z 2023-07-07T19:59:25.7867218Z [2023-07-07 19:59:10,822] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7867423Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7867431Z 2023-07-07T19:59:25.7867613Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7867884Z - self: 2023-07-07T19:59:25.7868117Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7868220Z - aten_name: 2023-07-07T19:59:25.7868353Z - function_overloads: 2023-07-07T19:59:25.7868471Z - onnx_args: 2023-07-07T19:59:25.7868593Z - onnx_kwargs: 2023-07-07T19:59:25.7868901Z - diagnostic_context: 2023-07-07T19:59:25.7869136Z - Return value: 2023-07-07T19:59:25.7869433Z [2023-07-07 19:59:10,893] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7869570Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7869575Z 2023-07-07T19:59:25.7869772Z [2023-07-07 19:59:10,893] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7869975Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7869981Z 2023-07-07T19:59:25.7870166Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7870435Z - self: 2023-07-07T19:59:25.7870640Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7870755Z - aten_name: 2023-07-07T19:59:25.7870885Z - function_overloads: 2023-07-07T19:59:25.7870991Z - onnx_args: 2023-07-07T19:59:25.7871109Z - onnx_kwargs: 2023-07-07T19:59:25.7871413Z - diagnostic_context: 2023-07-07T19:59:25.7871625Z - Return value: 2023-07-07T19:59:25.7871898Z [2023-07-07 19:59:10,952] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7872048Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7872053Z 2023-07-07T19:59:25.7872252Z [2023-07-07 19:59:10,952] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7872492Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7872498Z 2023-07-07T19:59:25.7872683Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7872941Z - self: 2023-07-07T19:59:25.7873175Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7873288Z - aten_name: 2023-07-07T19:59:25.7873421Z - function_overloads: 2023-07-07T19:59:25.7873537Z - onnx_args: 2023-07-07T19:59:25.7873654Z - onnx_kwargs: 2023-07-07T19:59:25.7873960Z - diagnostic_context: 2023-07-07T19:59:25.7874175Z - Return value: 2023-07-07T19:59:25.7874371Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7874905Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7875349Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7875786Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7876250Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7876684Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7877116Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7877578Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7878010Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7878437Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7878865Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7879291Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7879720Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7880147Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7880417Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_float32 PASSED [0.4766s] [ 93%] 2023-07-07T19:59:25.7880925Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 [2023-07-07 19:59:11,024] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7881076Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7881109Z 2023-07-07T19:59:25.7881311Z [2023-07-07 19:59:11,024] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7881512Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7881518Z 2023-07-07T19:59:25.7881706Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7881976Z - self: 2023-07-07T19:59:25.7882183Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7882297Z - aten_name: 2023-07-07T19:59:25.7882416Z - function_overloads: 2023-07-07T19:59:25.7882531Z - onnx_args: 2023-07-07T19:59:25.7882651Z - onnx_kwargs: 2023-07-07T19:59:25.7882955Z - diagnostic_context: 2023-07-07T19:59:25.7883171Z - Return value: 2023-07-07T19:59:25.7883447Z [2023-07-07 19:59:11,091] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7883594Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7883600Z 2023-07-07T19:59:25.7883823Z [2023-07-07 19:59:11,091] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7884016Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7884034Z 2023-07-07T19:59:25.7884204Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7884571Z - self: 2023-07-07T19:59:25.7884835Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7884953Z - aten_name: 2023-07-07T19:59:25.7885086Z - function_overloads: 2023-07-07T19:59:25.7885204Z - onnx_args: 2023-07-07T19:59:25.7885324Z - onnx_kwargs: 2023-07-07T19:59:25.7885614Z - diagnostic_context: 2023-07-07T19:59:25.7885826Z - Return value: 2023-07-07T19:59:25.7886101Z [2023-07-07 19:59:11,155] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7886254Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7886260Z 2023-07-07T19:59:25.7886460Z [2023-07-07 19:59:11,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7886665Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7886674Z 2023-07-07T19:59:25.7886861Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7887129Z - self: 2023-07-07T19:59:25.7887334Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7887438Z - aten_name: 2023-07-07T19:59:25.7887573Z - function_overloads: 2023-07-07T19:59:25.7887689Z - onnx_args: 2023-07-07T19:59:25.7887808Z - onnx_kwargs: 2023-07-07T19:59:25.7888152Z - diagnostic_context: 2023-07-07T19:59:25.7888368Z - Return value: 2023-07-07T19:59:25.7888641Z [2023-07-07 19:59:11,218] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7888792Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7888832Z 2023-07-07T19:59:25.7889017Z [2023-07-07 19:59:11,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7889220Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7889225Z 2023-07-07T19:59:25.7889409Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7889675Z - self: 2023-07-07T19:59:25.7889881Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7889996Z - aten_name: 2023-07-07T19:59:25.7890131Z - function_overloads: 2023-07-07T19:59:25.7890248Z - onnx_args: 2023-07-07T19:59:25.7890351Z - onnx_kwargs: 2023-07-07T19:59:25.7890656Z - diagnostic_context: 2023-07-07T19:59:25.7890867Z - Return value: 2023-07-07T19:59:25.7891141Z [2023-07-07 19:59:11,281] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7891291Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7891296Z 2023-07-07T19:59:25.7891525Z [2023-07-07 19:59:11,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7891729Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7891735Z 2023-07-07T19:59:25.7891919Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7892192Z - self: 2023-07-07T19:59:25.7892416Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7892529Z - aten_name: 2023-07-07T19:59:25.7892664Z - function_overloads: 2023-07-07T19:59:25.7892779Z - onnx_args: 2023-07-07T19:59:25.7892897Z - onnx_kwargs: 2023-07-07T19:59:25.7893199Z - diagnostic_context: 2023-07-07T19:59:25.7893413Z - Return value: 2023-07-07T19:59:25.7893673Z [2023-07-07 19:59:11,343] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7893822Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7893828Z 2023-07-07T19:59:25.7894025Z [2023-07-07 19:59:11,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7894227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7894235Z 2023-07-07T19:59:25.7894420Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7894689Z - self: 2023-07-07T19:59:25.7894892Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7895005Z - aten_name: 2023-07-07T19:59:25.7895139Z - function_overloads: 2023-07-07T19:59:25.7895242Z - onnx_args: 2023-07-07T19:59:25.7895360Z - onnx_kwargs: 2023-07-07T19:59:25.7895693Z - diagnostic_context: 2023-07-07T19:59:25.7895909Z - Return value: 2023-07-07T19:59:25.7896183Z [2023-07-07 19:59:11,403] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7896337Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7896342Z 2023-07-07T19:59:25.7896571Z [2023-07-07 19:59:11,403] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7896774Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7896780Z 2023-07-07T19:59:25.7896964Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7897220Z - self: 2023-07-07T19:59:25.7897424Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7897543Z - aten_name: 2023-07-07T19:59:25.7897675Z - function_overloads: 2023-07-07T19:59:25.7897791Z - onnx_args: 2023-07-07T19:59:25.7897908Z - onnx_kwargs: 2023-07-07T19:59:25.7898211Z - diagnostic_context: 2023-07-07T19:59:25.7898413Z - Return value: 2023-07-07T19:59:25.7898621Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7899072Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7899543Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7899991Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7900426Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7900887Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7901316Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7901746Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7902169Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7902596Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7903023Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7903449Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7903903Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7904314Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7904595Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int16 PASSED [0.4483s] [ 93%] 2023-07-07T19:59:25.7905100Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 [2023-07-07 19:59:11,476] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7905249Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7905255Z 2023-07-07T19:59:25.7905455Z [2023-07-07 19:59:11,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7905658Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7905664Z 2023-07-07T19:59:25.7905847Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7906119Z - self: 2023-07-07T19:59:25.7906328Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7906441Z - aten_name: 2023-07-07T19:59:25.7906561Z - function_overloads: 2023-07-07T19:59:25.7906679Z - onnx_args: 2023-07-07T19:59:25.7906822Z - onnx_kwargs: 2023-07-07T19:59:25.7907133Z - diagnostic_context: 2023-07-07T19:59:25.7907348Z - Return value: 2023-07-07T19:59:25.7907625Z [2023-07-07 19:59:11,541] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7907771Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7907804Z 2023-07-07T19:59:25.7908004Z [2023-07-07 19:59:11,541] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7908197Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7908203Z 2023-07-07T19:59:25.7908387Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7908655Z - self: 2023-07-07T19:59:25.7908864Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7908978Z - aten_name: 2023-07-07T19:59:25.7909110Z - function_overloads: 2023-07-07T19:59:25.7909229Z - onnx_args: 2023-07-07T19:59:25.7909346Z - onnx_kwargs: 2023-07-07T19:59:25.7909636Z - diagnostic_context: 2023-07-07T19:59:25.7909851Z - Return value: 2023-07-07T19:59:25.7910128Z [2023-07-07 19:59:11,605] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7910279Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7910285Z 2023-07-07T19:59:25.7910484Z [2023-07-07 19:59:11,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7910688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7910694Z 2023-07-07T19:59:25.7910877Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7911176Z - self: 2023-07-07T19:59:25.7911382Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7911483Z - aten_name: 2023-07-07T19:59:25.7911616Z - function_overloads: 2023-07-07T19:59:25.7911731Z - onnx_args: 2023-07-07T19:59:25.7911880Z - onnx_kwargs: 2023-07-07T19:59:25.7912188Z - diagnostic_context: 2023-07-07T19:59:25.7912401Z - Return value: 2023-07-07T19:59:25.7912679Z [2023-07-07 19:59:11,670] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7912813Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7912832Z 2023-07-07T19:59:25.7913018Z [2023-07-07 19:59:11,670] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7913222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7913227Z 2023-07-07T19:59:25.7913411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7913679Z - self: 2023-07-07T19:59:25.7913887Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7914000Z - aten_name: 2023-07-07T19:59:25.7914132Z - function_overloads: 2023-07-07T19:59:25.7914248Z - onnx_args: 2023-07-07T19:59:25.7914352Z - onnx_kwargs: 2023-07-07T19:59:25.7914782Z - diagnostic_context: 2023-07-07T19:59:25.7915000Z - Return value: 2023-07-07T19:59:25.7915279Z [2023-07-07 19:59:11,735] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7915427Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7915432Z 2023-07-07T19:59:25.7915629Z [2023-07-07 19:59:11,736] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7915863Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7915871Z 2023-07-07T19:59:25.7916056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7916311Z - self: 2023-07-07T19:59:25.7916518Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7916633Z - aten_name: 2023-07-07T19:59:25.7916768Z - function_overloads: 2023-07-07T19:59:25.7916885Z - onnx_args: 2023-07-07T19:59:25.7917006Z - onnx_kwargs: 2023-07-07T19:59:25.7917311Z - diagnostic_context: 2023-07-07T19:59:25.7917524Z - Return value: 2023-07-07T19:59:25.7917788Z [2023-07-07 19:59:11,801] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7917937Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7917942Z 2023-07-07T19:59:25.7918139Z [2023-07-07 19:59:11,801] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7918342Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7918348Z 2023-07-07T19:59:25.7918533Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7918828Z - self: 2023-07-07T19:59:25.7919036Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7919148Z - aten_name: 2023-07-07T19:59:25.7919285Z - function_overloads: 2023-07-07T19:59:25.7919390Z - onnx_args: 2023-07-07T19:59:25.7919507Z - onnx_kwargs: 2023-07-07T19:59:25.7919835Z - diagnostic_context: 2023-07-07T19:59:25.7920046Z - Return value: 2023-07-07T19:59:25.7920316Z [2023-07-07 19:59:11,861] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7920465Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7920471Z 2023-07-07T19:59:25.7920668Z [2023-07-07 19:59:11,861] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7920872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7920878Z 2023-07-07T19:59:25.7921046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7921316Z - self: 2023-07-07T19:59:25.7921523Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7921637Z - aten_name: 2023-07-07T19:59:25.7921771Z - function_overloads: 2023-07-07T19:59:25.7921887Z - onnx_args: 2023-07-07T19:59:25.7922005Z - onnx_kwargs: 2023-07-07T19:59:25.7922356Z - diagnostic_context: 2023-07-07T19:59:25.7922557Z - Return value: 2023-07-07T19:59:25.7922765Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7923219Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7923689Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7924128Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7924729Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7925172Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7925600Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7926026Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7926455Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7926878Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7927359Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7927777Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7928238Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7928664Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7928923Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int32 PASSED [0.4582s] [ 93%] 2023-07-07T19:59:25.7929428Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 [2023-07-07 19:59:11,935] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7929578Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7929587Z 2023-07-07T19:59:25.7929787Z [2023-07-07 19:59:11,935] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7929993Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7930000Z 2023-07-07T19:59:25.7930215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7930488Z - self: 2023-07-07T19:59:25.7930696Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7930797Z - aten_name: 2023-07-07T19:59:25.7930930Z - function_overloads: 2023-07-07T19:59:25.7931045Z - onnx_args: 2023-07-07T19:59:25.7931161Z - onnx_kwargs: 2023-07-07T19:59:25.7931505Z - diagnostic_context: 2023-07-07T19:59:25.7931719Z - Return value: 2023-07-07T19:59:25.7931991Z [2023-07-07 19:59:11,998] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7932139Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7932145Z 2023-07-07T19:59:25.7932333Z [2023-07-07 19:59:11,998] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7932536Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7932544Z 2023-07-07T19:59:25.7932730Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7932996Z - self: 2023-07-07T19:59:25.7933205Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7933322Z - aten_name: 2023-07-07T19:59:25.7933454Z - function_overloads: 2023-07-07T19:59:25.7933569Z - onnx_args: 2023-07-07T19:59:25.7933673Z - onnx_kwargs: 2023-07-07T19:59:25.7933976Z - diagnostic_context: 2023-07-07T19:59:25.7934189Z - Return value: 2023-07-07T19:59:25.7934458Z [2023-07-07 19:59:12,064] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7934632Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7934638Z 2023-07-07T19:59:25.7934837Z [2023-07-07 19:59:12,064] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7935041Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7935049Z 2023-07-07T19:59:25.7935233Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7935527Z - self: 2023-07-07T19:59:25.7935718Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7935831Z - aten_name: 2023-07-07T19:59:25.7935969Z - function_overloads: 2023-07-07T19:59:25.7936085Z - onnx_args: 2023-07-07T19:59:25.7936201Z - onnx_kwargs: 2023-07-07T19:59:25.7936508Z - diagnostic_context: 2023-07-07T19:59:25.7936720Z - Return value: 2023-07-07T19:59:25.7936992Z [2023-07-07 19:59:12,127] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7937129Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7937137Z 2023-07-07T19:59:25.7937336Z [2023-07-07 19:59:12,127] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7937536Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7937542Z 2023-07-07T19:59:25.7937749Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7938018Z - self: 2023-07-07T19:59:25.7938277Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7938442Z - aten_name: 2023-07-07T19:59:25.7938578Z - function_overloads: 2023-07-07T19:59:25.7938680Z - onnx_args: 2023-07-07T19:59:25.7938796Z - onnx_kwargs: 2023-07-07T19:59:25.7939138Z - diagnostic_context: 2023-07-07T19:59:25.7939354Z - Return value: 2023-07-07T19:59:25.7939628Z [2023-07-07 19:59:12,191] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7939775Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7939780Z 2023-07-07T19:59:25.7939979Z [2023-07-07 19:59:12,191] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7940185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7940191Z 2023-07-07T19:59:25.7940377Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7940631Z - self: 2023-07-07T19:59:25.7940839Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7940952Z - aten_name: 2023-07-07T19:59:25.7941087Z - function_overloads: 2023-07-07T19:59:25.7941205Z - onnx_args: 2023-07-07T19:59:25.7941321Z - onnx_kwargs: 2023-07-07T19:59:25.7941627Z - diagnostic_context: 2023-07-07T19:59:25.7941827Z - Return value: 2023-07-07T19:59:25.7942099Z [2023-07-07 19:59:12,254] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7942247Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7942288Z 2023-07-07T19:59:25.7942489Z [2023-07-07 19:59:12,255] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7942692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7942700Z 2023-07-07T19:59:25.7942884Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7943179Z - self: 2023-07-07T19:59:25.7943385Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7943497Z - aten_name: 2023-07-07T19:59:25.7943617Z - function_overloads: 2023-07-07T19:59:25.7943735Z - onnx_args: 2023-07-07T19:59:25.7943853Z - onnx_kwargs: 2023-07-07T19:59:25.7944161Z - diagnostic_context: 2023-07-07T19:59:25.7944374Z - Return value: 2023-07-07T19:59:25.7944649Z [2023-07-07 19:59:12,312] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7944799Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7944804Z 2023-07-07T19:59:25.7945002Z [2023-07-07 19:59:12,312] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7945191Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7945210Z 2023-07-07T19:59:25.7945381Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7945674Z - self: 2023-07-07T19:59:25.7945883Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7946001Z - aten_name: 2023-07-07T19:59:25.7946133Z - function_overloads: 2023-07-07T19:59:25.7946249Z - onnx_args: 2023-07-07T19:59:25.7946367Z - onnx_kwargs: 2023-07-07T19:59:25.7946660Z - diagnostic_context: 2023-07-07T19:59:25.7946901Z - Return value: 2023-07-07T19:59:25.7947112Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7947561Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7948003Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7948439Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7948867Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7949298Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7949726Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7950181Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7950608Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7951035Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7951494Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7951929Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7952358Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7952789Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 93%] 2023-07-07T19:59:25.7953046Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int64 PASSED [0.4485s] [ 93%] 2023-07-07T19:59:25.7953576Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 [2023-07-07 19:59:12,383] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7953727Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7953733Z 2023-07-07T19:59:25.7953937Z [2023-07-07 19:59:12,383] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7954144Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7954150Z 2023-07-07T19:59:25.7954335Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7954700Z - self: 2023-07-07T19:59:25.7954915Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7955017Z - aten_name: 2023-07-07T19:59:25.7955150Z - function_overloads: 2023-07-07T19:59:25.7955267Z - onnx_args: 2023-07-07T19:59:25.7955387Z - onnx_kwargs: 2023-07-07T19:59:25.7955695Z - diagnostic_context: 2023-07-07T19:59:25.7955908Z - Return value: 2023-07-07T19:59:25.7956188Z [2023-07-07 19:59:12,446] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7956324Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7956343Z 2023-07-07T19:59:25.7956532Z [2023-07-07 19:59:12,446] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7956737Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7956745Z 2023-07-07T19:59:25.7956931Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7957203Z - self: 2023-07-07T19:59:25.7957410Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7957527Z - aten_name: 2023-07-07T19:59:25.7957658Z - function_overloads: 2023-07-07T19:59:25.7957806Z - onnx_args: 2023-07-07T19:59:25.7957913Z - onnx_kwargs: 2023-07-07T19:59:25.7958218Z - diagnostic_context: 2023-07-07T19:59:25.7958429Z - Return value: 2023-07-07T19:59:25.7958704Z [2023-07-07 19:59:12,510] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7958878Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7958884Z 2023-07-07T19:59:25.7959081Z [2023-07-07 19:59:12,510] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7959288Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7959295Z 2023-07-07T19:59:25.7959478Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7959748Z - self: 2023-07-07T19:59:25.7959941Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7960054Z - aten_name: 2023-07-07T19:59:25.7960190Z - function_overloads: 2023-07-07T19:59:25.7960306Z - onnx_args: 2023-07-07T19:59:25.7960424Z - onnx_kwargs: 2023-07-07T19:59:25.7960732Z - diagnostic_context: 2023-07-07T19:59:25.7960944Z - Return value: 2023-07-07T19:59:25.7961205Z [2023-07-07 19:59:12,573] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7961379Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7961386Z 2023-07-07T19:59:25.7961585Z [2023-07-07 19:59:12,573] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7961794Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7961801Z 2023-07-07T19:59:25.7961983Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7962279Z - self: 2023-07-07T19:59:25.7962486Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7962602Z - aten_name: 2023-07-07T19:59:25.7962736Z - function_overloads: 2023-07-07T19:59:25.7962837Z - onnx_args: 2023-07-07T19:59:25.7962954Z - onnx_kwargs: 2023-07-07T19:59:25.7963262Z - diagnostic_context: 2023-07-07T19:59:25.7963475Z - Return value: 2023-07-07T19:59:25.7963752Z [2023-07-07 19:59:12,636] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7963904Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7963910Z 2023-07-07T19:59:25.7964106Z [2023-07-07 19:59:12,637] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7964310Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7964318Z 2023-07-07T19:59:25.7964586Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7964857Z - self: 2023-07-07T19:59:25.7965063Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7965177Z - aten_name: 2023-07-07T19:59:25.7965311Z - function_overloads: 2023-07-07T19:59:25.7965428Z - onnx_args: 2023-07-07T19:59:25.7965616Z - onnx_kwargs: 2023-07-07T19:59:25.7965922Z - diagnostic_context: 2023-07-07T19:59:25.7966120Z - Return value: 2023-07-07T19:59:25.7966395Z [2023-07-07 19:59:12,698] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7966579Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7966584Z 2023-07-07T19:59:25.7966784Z [2023-07-07 19:59:12,699] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7966990Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7966998Z 2023-07-07T19:59:25.7967180Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7967451Z - self: 2023-07-07T19:59:25.7967658Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7967772Z - aten_name: 2023-07-07T19:59:25.7967892Z - function_overloads: 2023-07-07T19:59:25.7968009Z - onnx_args: 2023-07-07T19:59:25.7968126Z - onnx_kwargs: 2023-07-07T19:59:25.7968433Z - diagnostic_context: 2023-07-07T19:59:25.7968646Z - Return value: 2023-07-07T19:59:25.7968917Z [2023-07-07 19:59:12,755] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7969114Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7969120Z 2023-07-07T19:59:25.7969305Z [2023-07-07 19:59:12,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7969508Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7969514Z 2023-07-07T19:59:25.7969699Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7970005Z - self: 2023-07-07T19:59:25.7970211Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7970326Z - aten_name: 2023-07-07T19:59:25.7970459Z - function_overloads: 2023-07-07T19:59:25.7970578Z - onnx_args: 2023-07-07T19:59:25.7970681Z - onnx_kwargs: 2023-07-07T19:59:25.7970987Z - diagnostic_context: 2023-07-07T19:59:25.7971200Z - Return value: 2023-07-07T19:59:25.7971408Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7971861Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7972299Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7972735Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7973166Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7973621Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7974047Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7974473Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7974922Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7975336Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7975764Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7976191Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7976622Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7977075Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7977327Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_int8 PASSED [0.4418s] [ 94%] 2023-07-07T19:59:25.7977837Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 [2023-07-07 19:59:12,825] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7978035Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7978043Z 2023-07-07T19:59:25.7978246Z [2023-07-07 19:59:12,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7978447Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7978453Z 2023-07-07T19:59:25.7978638Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7978906Z - self: 2023-07-07T19:59:25.7979099Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7979215Z - aten_name: 2023-07-07T19:59:25.7979351Z - function_overloads: 2023-07-07T19:59:25.7979467Z - onnx_args: 2023-07-07T19:59:25.7979584Z - onnx_kwargs: 2023-07-07T19:59:25.7979888Z - diagnostic_context: 2023-07-07T19:59:25.7980101Z - Return value: 2023-07-07T19:59:25.7980373Z [2023-07-07 19:59:12,887] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7980508Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7980513Z 2023-07-07T19:59:25.7980713Z [2023-07-07 19:59:12,887] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7980919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7980925Z 2023-07-07T19:59:25.7981142Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7981413Z - self: 2023-07-07T19:59:25.7981621Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7981735Z - aten_name: 2023-07-07T19:59:25.7981914Z - function_overloads: 2023-07-07T19:59:25.7982016Z - onnx_args: 2023-07-07T19:59:25.7982135Z - onnx_kwargs: 2023-07-07T19:59:25.7982441Z - diagnostic_context: 2023-07-07T19:59:25.7982652Z - Return value: 2023-07-07T19:59:25.7982927Z [2023-07-07 19:59:12,949] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7983075Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7983082Z 2023-07-07T19:59:25.7983279Z [2023-07-07 19:59:12,949] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7983482Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7983491Z 2023-07-07T19:59:25.7983673Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7983928Z - self: 2023-07-07T19:59:25.7984134Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7984250Z - aten_name: 2023-07-07T19:59:25.7984383Z - function_overloads: 2023-07-07T19:59:25.7984528Z - onnx_args: 2023-07-07T19:59:25.7984648Z - onnx_kwargs: 2023-07-07T19:59:25.7984953Z - diagnostic_context: 2023-07-07T19:59:25.7985155Z - Return value: 2023-07-07T19:59:25.7985426Z [2023-07-07 19:59:13,012] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7985602Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7985608Z 2023-07-07T19:59:25.7985809Z [2023-07-07 19:59:13,012] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7986011Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7986017Z 2023-07-07T19:59:25.7986202Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7986470Z - self: 2023-07-07T19:59:25.7986676Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7986791Z - aten_name: 2023-07-07T19:59:25.7986913Z - function_overloads: 2023-07-07T19:59:25.7987028Z - onnx_args: 2023-07-07T19:59:25.7987146Z - onnx_kwargs: 2023-07-07T19:59:25.7987451Z - diagnostic_context: 2023-07-07T19:59:25.7987663Z - Return value: 2023-07-07T19:59:25.7987936Z [2023-07-07 19:59:13,074] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7988083Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7988088Z 2023-07-07T19:59:25.7988289Z [2023-07-07 19:59:13,074] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7988477Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7988496Z 2023-07-07T19:59:25.7988695Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7988962Z - self: 2023-07-07T19:59:25.7989168Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7989283Z - aten_name: 2023-07-07T19:59:25.7989417Z - function_overloads: 2023-07-07T19:59:25.7989566Z - onnx_args: 2023-07-07T19:59:25.7989684Z - onnx_kwargs: 2023-07-07T19:59:25.7989976Z - diagnostic_context: 2023-07-07T19:59:25.7990186Z - Return value: 2023-07-07T19:59:25.7990456Z [2023-07-07 19:59:13,135] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7990606Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7990611Z 2023-07-07T19:59:25.7990813Z [2023-07-07 19:59:13,135] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7991015Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7991023Z 2023-07-07T19:59:25.7991206Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7991476Z - self: 2023-07-07T19:59:25.7991680Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7991781Z - aten_name: 2023-07-07T19:59:25.7991913Z - function_overloads: 2023-07-07T19:59:25.7992061Z - onnx_args: 2023-07-07T19:59:25.7992180Z - onnx_kwargs: 2023-07-07T19:59:25.7992488Z - diagnostic_context: 2023-07-07T19:59:25.7992700Z - Return value: 2023-07-07T19:59:25.7992972Z [2023-07-07 19:59:13,195] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.7993106Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.7993151Z 2023-07-07T19:59:25.7993336Z [2023-07-07 19:59:13,195] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.7993538Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.7993543Z 2023-07-07T19:59:25.7993727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.7993995Z - self: 2023-07-07T19:59:25.7994203Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.7994317Z - aten_name: 2023-07-07T19:59:25.7994534Z - function_overloads: 2023-07-07T19:59:25.7994659Z - onnx_args: 2023-07-07T19:59:25.7994763Z - onnx_kwargs: 2023-07-07T19:59:25.7995066Z - diagnostic_context: 2023-07-07T19:59:25.7995280Z - Return value: 2023-07-07T19:59:25.7995490Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7995943Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7996388Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7996866Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7997299Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7997754Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7998182Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7998611Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7999023Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7999452Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.7999877Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8000330Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8000758Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8001188Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8001472Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_prod_cpu_uint8 PASSED [0.4389s] [ 94%] 2023-07-07T19:59:25.8001977Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool [2023-07-07 19:59:13,267] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8002126Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8002131Z 2023-07-07T19:59:25.8002330Z [2023-07-07 19:59:13,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8002535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8002541Z 2023-07-07T19:59:25.8002727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8002996Z - self: 2023-07-07T19:59:25.8003195Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8003308Z - aten_name: 2023-07-07T19:59:25.8003442Z - function_overloads: 2023-07-07T19:59:25.8003562Z - onnx_args: 2023-07-07T19:59:25.8003680Z - onnx_kwargs: 2023-07-07T19:59:25.8003985Z - diagnostic_context: 2023-07-07T19:59:25.8004201Z - Return value: 2023-07-07T19:59:25.8004666Z [2023-07-07 19:59:13,329] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8004839Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8004845Z 2023-07-07T19:59:25.8005051Z [2023-07-07 19:59:13,329] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8005257Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8005299Z 2023-07-07T19:59:25.8005484Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8005754Z - self: 2023-07-07T19:59:25.8005962Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8006077Z - aten_name: 2023-07-07T19:59:25.8006213Z - function_overloads: 2023-07-07T19:59:25.8006317Z - onnx_args: 2023-07-07T19:59:25.8006437Z - onnx_kwargs: 2023-07-07T19:59:25.8006744Z - diagnostic_context: 2023-07-07T19:59:25.8006955Z - Return value: 2023-07-07T19:59:25.8007232Z [2023-07-07 19:59:13,392] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8007382Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8007387Z 2023-07-07T19:59:25.8007582Z [2023-07-07 19:59:13,392] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8007784Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8007831Z 2023-07-07T19:59:25.8008004Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8008273Z - self: 2023-07-07T19:59:25.8008480Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8008594Z - aten_name: 2023-07-07T19:59:25.8008726Z - function_overloads: 2023-07-07T19:59:25.8008879Z - onnx_args: 2023-07-07T19:59:25.8008995Z - onnx_kwargs: 2023-07-07T19:59:25.8009303Z - diagnostic_context: 2023-07-07T19:59:25.8009502Z - Return value: 2023-07-07T19:59:25.8009774Z [2023-07-07 19:59:13,453] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8009926Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8009932Z 2023-07-07T19:59:25.8010128Z [2023-07-07 19:59:13,453] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8010333Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8010339Z 2023-07-07T19:59:25.8010525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8010793Z - self: 2023-07-07T19:59:25.8011000Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8011112Z - aten_name: 2023-07-07T19:59:25.8011232Z - function_overloads: 2023-07-07T19:59:25.8011349Z - onnx_args: 2023-07-07T19:59:25.8011468Z - onnx_kwargs: 2023-07-07T19:59:25.8011774Z - diagnostic_context: 2023-07-07T19:59:25.8011987Z - Return value: 2023-07-07T19:59:25.8012287Z [2023-07-07 19:59:13,516] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8012436Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8012442Z 2023-07-07T19:59:25.8012627Z [2023-07-07 19:59:13,516] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8012836Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8012868Z 2023-07-07T19:59:25.8013052Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8013319Z - self: 2023-07-07T19:59:25.8013526Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8013640Z - aten_name: 2023-07-07T19:59:25.8013772Z - function_overloads: 2023-07-07T19:59:25.8013886Z - onnx_args: 2023-07-07T19:59:25.8013990Z - onnx_kwargs: 2023-07-07T19:59:25.8014300Z - diagnostic_context: 2023-07-07T19:59:25.8014512Z - Return value: 2023-07-07T19:59:25.8014785Z [2023-07-07 19:59:13,580] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8014938Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8014944Z 2023-07-07T19:59:25.8015141Z [2023-07-07 19:59:13,580] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8015342Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8015347Z 2023-07-07T19:59:25.8015558Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8015831Z - self: 2023-07-07T19:59:25.8016024Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8016139Z - aten_name: 2023-07-07T19:59:25.8016270Z - function_overloads: 2023-07-07T19:59:25.8016386Z - onnx_args: 2023-07-07T19:59:25.8016530Z - onnx_kwargs: 2023-07-07T19:59:25.8016839Z - diagnostic_context: 2023-07-07T19:59:25.8017054Z - Return value: 2023-07-07T19:59:25.8017327Z [2023-07-07 19:59:13,636] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8017465Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8017470Z 2023-07-07T19:59:25.8017666Z [2023-07-07 19:59:13,636] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8017868Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8017874Z 2023-07-07T19:59:25.8018058Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8018328Z - self: 2023-07-07T19:59:25.8018537Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8018652Z - aten_name: 2023-07-07T19:59:25.8018783Z - function_overloads: 2023-07-07T19:59:25.8018887Z - onnx_args: 2023-07-07T19:59:25.8019004Z - onnx_kwargs: 2023-07-07T19:59:25.8019306Z - diagnostic_context: 2023-07-07T19:59:25.8019519Z - Return value: 2023-07-07T19:59:25.8019725Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8020202Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8020645Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8021117Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8021561Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8021997Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8022434Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8022858Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8023295Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8023763Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8024199Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8024637Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8025099Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8025537Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8025787Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_bool PASSED [0.4422s] [ 94%] 2023-07-07T19:59:25.8026041Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float16 XFAIL [0.0044s] [ 94%] 2023-07-07T19:59:25.8026551Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 [2023-07-07 19:59:13,725] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8026705Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8026711Z 2023-07-07T19:59:25.8026916Z [2023-07-07 19:59:13,725] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8027118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8027126Z 2023-07-07T19:59:25.8027298Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8027597Z - self: 2023-07-07T19:59:25.8027806Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8027921Z - aten_name: 2023-07-07T19:59:25.8028055Z - function_overloads: 2023-07-07T19:59:25.8028172Z - onnx_args: 2023-07-07T19:59:25.8028289Z - onnx_kwargs: 2023-07-07T19:59:25.8028623Z - diagnostic_context: 2023-07-07T19:59:25.8028822Z - Return value: 2023-07-07T19:59:25.8029095Z [2023-07-07 19:59:13,811] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8029246Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8029251Z 2023-07-07T19:59:25.8029449Z [2023-07-07 19:59:13,812] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8029654Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8029660Z 2023-07-07T19:59:25.8029843Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8030114Z - self: 2023-07-07T19:59:25.8030319Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8030432Z - aten_name: 2023-07-07T19:59:25.8030553Z - function_overloads: 2023-07-07T19:59:25.8030669Z - onnx_args: 2023-07-07T19:59:25.8030788Z - onnx_kwargs: 2023-07-07T19:59:25.8031119Z - diagnostic_context: 2023-07-07T19:59:25.8031333Z - Return value: 2023-07-07T19:59:25.8031609Z [2023-07-07 19:59:13,889] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8031758Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8031764Z 2023-07-07T19:59:25.8031948Z [2023-07-07 19:59:13,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8032177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8032185Z 2023-07-07T19:59:25.8032369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8032641Z - self: 2023-07-07T19:59:25.8032848Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8032966Z - aten_name: 2023-07-07T19:59:25.8033100Z - function_overloads: 2023-07-07T19:59:25.8033216Z - onnx_args: 2023-07-07T19:59:25.8033322Z - onnx_kwargs: 2023-07-07T19:59:25.8033627Z - diagnostic_context: 2023-07-07T19:59:25.8033840Z - Return value: 2023-07-07T19:59:25.8034113Z [2023-07-07 19:59:13,957] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8034264Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8034269Z 2023-07-07T19:59:25.8034549Z [2023-07-07 19:59:13,957] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8034755Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8034761Z 2023-07-07T19:59:25.8034947Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8035220Z - self: 2023-07-07T19:59:25.8035447Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8035565Z - aten_name: 2023-07-07T19:59:25.8035701Z - function_overloads: 2023-07-07T19:59:25.8035817Z - onnx_args: 2023-07-07T19:59:25.8035938Z - onnx_kwargs: 2023-07-07T19:59:25.8036244Z - diagnostic_context: 2023-07-07T19:59:25.8036486Z - Return value: 2023-07-07T19:59:25.8036758Z [2023-07-07 19:59:14,018] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8036895Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8036903Z 2023-07-07T19:59:25.8037101Z [2023-07-07 19:59:14,018] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8037305Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8037311Z 2023-07-07T19:59:25.8037497Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8037767Z - self: 2023-07-07T19:59:25.8037974Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8038091Z - aten_name: 2023-07-07T19:59:25.8038224Z - function_overloads: 2023-07-07T19:59:25.8038327Z - onnx_args: 2023-07-07T19:59:25.8038444Z - onnx_kwargs: 2023-07-07T19:59:25.8038750Z - diagnostic_context: 2023-07-07T19:59:25.8038995Z - Return value: 2023-07-07T19:59:25.8039270Z [2023-07-07 19:59:14,082] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8039419Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8039425Z 2023-07-07T19:59:25.8039622Z [2023-07-07 19:59:14,082] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8039851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8039859Z 2023-07-07T19:59:25.8040044Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8040298Z - self: 2023-07-07T19:59:25.8040503Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8040619Z - aten_name: 2023-07-07T19:59:25.8040751Z - function_overloads: 2023-07-07T19:59:25.8040862Z - onnx_args: 2023-07-07T19:59:25.8040987Z - onnx_kwargs: 2023-07-07T19:59:25.8041294Z - diagnostic_context: 2023-07-07T19:59:25.8041505Z - Return value: 2023-07-07T19:59:25.8041804Z [2023-07-07 19:59:14,139] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8042003Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8042011Z 2023-07-07T19:59:25.8042214Z [2023-07-07 19:59:14,139] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8042417Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8042423Z 2023-07-07T19:59:25.8042623Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8042974Z - self: 2023-07-07T19:59:25.8043242Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8043358Z - aten_name: 2023-07-07T19:59:25.8043502Z - function_overloads: 2023-07-07T19:59:25.8043690Z - onnx_args: 2023-07-07T19:59:25.8043815Z - onnx_kwargs: 2023-07-07T19:59:25.8044116Z - diagnostic_context: 2023-07-07T19:59:25.8044363Z - Return value: 2023-07-07T19:59:25.8044657Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8045113Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8045561Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8045996Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8046431Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8046862Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8047342Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8047772Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8048200Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8048683Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8049123Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8049545Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8049975Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8050408Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 94%] 2023-07-07T19:59:25.8050662Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_float32 PASSED [0.4973s] [ 94%] 2023-07-07T19:59:25.8051168Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 [2023-07-07 19:59:14,213] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8051316Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8051367Z 2023-07-07T19:59:25.8051572Z [2023-07-07 19:59:14,213] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8051776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8051784Z 2023-07-07T19:59:25.8051969Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8052271Z - self: 2023-07-07T19:59:25.8052479Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8052579Z - aten_name: 2023-07-07T19:59:25.8052713Z - function_overloads: 2023-07-07T19:59:25.8052834Z - onnx_args: 2023-07-07T19:59:25.8052952Z - onnx_kwargs: 2023-07-07T19:59:25.8053257Z - diagnostic_context: 2023-07-07T19:59:25.8053472Z - Return value: 2023-07-07T19:59:25.8053748Z [2023-07-07 19:59:14,272] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8053898Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8053904Z 2023-07-07T19:59:25.8054089Z [2023-07-07 19:59:14,272] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8054294Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8054299Z 2023-07-07T19:59:25.8054483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8054779Z - self: 2023-07-07T19:59:25.8054986Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8055101Z - aten_name: 2023-07-07T19:59:25.8055235Z - function_overloads: 2023-07-07T19:59:25.8055352Z - onnx_args: 2023-07-07T19:59:25.8055456Z - onnx_kwargs: 2023-07-07T19:59:25.8055755Z - diagnostic_context: 2023-07-07T19:59:25.8055994Z - Return value: 2023-07-07T19:59:25.8056266Z [2023-07-07 19:59:14,330] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8056412Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8056418Z 2023-07-07T19:59:25.8056613Z [2023-07-07 19:59:14,330] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8056818Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8056823Z 2023-07-07T19:59:25.8057010Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8057277Z - self: 2023-07-07T19:59:25.8057470Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8057586Z - aten_name: 2023-07-07T19:59:25.8057720Z - function_overloads: 2023-07-07T19:59:25.8057837Z - onnx_args: 2023-07-07T19:59:25.8057954Z - onnx_kwargs: 2023-07-07T19:59:25.8058256Z - diagnostic_context: 2023-07-07T19:59:25.8058466Z - Return value: 2023-07-07T19:59:25.8058728Z [2023-07-07 19:59:14,389] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8058875Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8058881Z 2023-07-07T19:59:25.8059106Z [2023-07-07 19:59:14,389] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8059308Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8059316Z 2023-07-07T19:59:25.8059498Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8059820Z - self: 2023-07-07T19:59:25.8060025Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8060138Z - aten_name: 2023-07-07T19:59:25.8060268Z - function_overloads: 2023-07-07T19:59:25.8060371Z - onnx_args: 2023-07-07T19:59:25.8060491Z - onnx_kwargs: 2023-07-07T19:59:25.8060798Z - diagnostic_context: 2023-07-07T19:59:25.8061011Z - Return value: 2023-07-07T19:59:25.8061283Z [2023-07-07 19:59:14,447] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8061429Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8061437Z 2023-07-07T19:59:25.8061634Z [2023-07-07 19:59:14,447] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8061838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8061844Z 2023-07-07T19:59:25.8062025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8062306Z - self: 2023-07-07T19:59:25.8062514Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8062630Z - aten_name: 2023-07-07T19:59:25.8062765Z - function_overloads: 2023-07-07T19:59:25.8062883Z - onnx_args: 2023-07-07T19:59:25.8063000Z - onnx_kwargs: 2023-07-07T19:59:25.8063301Z - diagnostic_context: 2023-07-07T19:59:25.8063533Z - Return value: 2023-07-07T19:59:25.8063807Z [2023-07-07 19:59:14,506] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8063952Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8063958Z 2023-07-07T19:59:25.8064156Z [2023-07-07 19:59:14,506] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8064362Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8064368Z 2023-07-07T19:59:25.8064553Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8064819Z - self: 2023-07-07T19:59:25.8065022Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8065137Z - aten_name: 2023-07-07T19:59:25.8065258Z - function_overloads: 2023-07-07T19:59:25.8065375Z - onnx_args: 2023-07-07T19:59:25.8065492Z - onnx_kwargs: 2023-07-07T19:59:25.8065798Z - diagnostic_context: 2023-07-07T19:59:25.8066009Z - Return value: 2023-07-07T19:59:25.8066283Z [2023-07-07 19:59:14,560] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8066430Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8066435Z 2023-07-07T19:59:25.8066657Z [2023-07-07 19:59:14,560] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8066850Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8066856Z 2023-07-07T19:59:25.8067040Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8067307Z - self: 2023-07-07T19:59:25.8067540Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8067652Z - aten_name: 2023-07-07T19:59:25.8067783Z - function_overloads: 2023-07-07T19:59:25.8067898Z - onnx_args: 2023-07-07T19:59:25.8068017Z - onnx_kwargs: 2023-07-07T19:59:25.8068310Z - diagnostic_context: 2023-07-07T19:59:25.8068523Z - Return value: 2023-07-07T19:59:25.8068731Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8069178Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8069615Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8070048Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8070500Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8070929Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8071357Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8071811Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8072238Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8072661Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8073071Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8073512Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8073948Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8074380Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8074739Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int16 PASSED [0.4126s] [ 95%] 2023-07-07T19:59:25.8075254Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 [2023-07-07 19:59:14,626] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8075432Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8075439Z 2023-07-07T19:59:25.8075638Z [2023-07-07 19:59:14,626] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8075840Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8075848Z 2023-07-07T19:59:25.8076031Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8076299Z - self: 2023-07-07T19:59:25.8076509Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8076609Z - aten_name: 2023-07-07T19:59:25.8076742Z - function_overloads: 2023-07-07T19:59:25.8076862Z - onnx_args: 2023-07-07T19:59:25.8076982Z - onnx_kwargs: 2023-07-07T19:59:25.8077285Z - diagnostic_context: 2023-07-07T19:59:25.8077499Z - Return value: 2023-07-07T19:59:25.8077770Z [2023-07-07 19:59:14,686] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8077942Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8077962Z 2023-07-07T19:59:25.8078150Z [2023-07-07 19:59:14,686] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8078355Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8078361Z 2023-07-07T19:59:25.8078544Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8078809Z - self: 2023-07-07T19:59:25.8079087Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8079203Z - aten_name: 2023-07-07T19:59:25.8079334Z - function_overloads: 2023-07-07T19:59:25.8079449Z - onnx_args: 2023-07-07T19:59:25.8079553Z - onnx_kwargs: 2023-07-07T19:59:25.8079858Z - diagnostic_context: 2023-07-07T19:59:25.8080069Z - Return value: 2023-07-07T19:59:25.8080343Z [2023-07-07 19:59:14,744] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8080490Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8080495Z 2023-07-07T19:59:25.8080692Z [2023-07-07 19:59:14,744] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8080897Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8080904Z 2023-07-07T19:59:25.8081087Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8081343Z - self: 2023-07-07T19:59:25.8081547Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8081661Z - aten_name: 2023-07-07T19:59:25.8081795Z - function_overloads: 2023-07-07T19:59:25.8081911Z - onnx_args: 2023-07-07T19:59:25.8082026Z - onnx_kwargs: 2023-07-07T19:59:25.8082383Z - diagnostic_context: 2023-07-07T19:59:25.8082598Z - Return value: 2023-07-07T19:59:25.8082859Z [2023-07-07 19:59:14,803] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8083008Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8083040Z 2023-07-07T19:59:25.8083239Z [2023-07-07 19:59:14,803] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8083443Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8083448Z 2023-07-07T19:59:25.8083633Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8083900Z - self: 2023-07-07T19:59:25.8084106Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8084220Z - aten_name: 2023-07-07T19:59:25.8084340Z - function_overloads: 2023-07-07T19:59:25.8084617Z - onnx_args: 2023-07-07T19:59:25.8084773Z - onnx_kwargs: 2023-07-07T19:59:25.8085079Z - diagnostic_context: 2023-07-07T19:59:25.8085295Z - Return value: 2023-07-07T19:59:25.8085569Z [2023-07-07 19:59:14,862] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8085715Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8085781Z 2023-07-07T19:59:25.8085981Z [2023-07-07 19:59:14,862] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8086185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8086191Z 2023-07-07T19:59:25.8086361Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8086627Z - self: 2023-07-07T19:59:25.8086869Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8086986Z - aten_name: 2023-07-07T19:59:25.8087119Z - function_overloads: 2023-07-07T19:59:25.8087235Z - onnx_args: 2023-07-07T19:59:25.8087351Z - onnx_kwargs: 2023-07-07T19:59:25.8087642Z - diagnostic_context: 2023-07-07T19:59:25.8087859Z - Return value: 2023-07-07T19:59:25.8088129Z [2023-07-07 19:59:14,920] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8088278Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8088284Z 2023-07-07T19:59:25.8088482Z [2023-07-07 19:59:14,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8088685Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8088693Z 2023-07-07T19:59:25.8088878Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8089146Z - self: 2023-07-07T19:59:25.8089350Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8089451Z - aten_name: 2023-07-07T19:59:25.8089585Z - function_overloads: 2023-07-07T19:59:25.8089698Z - onnx_args: 2023-07-07T19:59:25.8089816Z - onnx_kwargs: 2023-07-07T19:59:25.8090153Z - diagnostic_context: 2023-07-07T19:59:25.8090369Z - Return value: 2023-07-07T19:59:25.8090638Z [2023-07-07 19:59:14,975] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8090788Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8090824Z 2023-07-07T19:59:25.8091010Z [2023-07-07 19:59:14,975] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8091212Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8091218Z 2023-07-07T19:59:25.8091403Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8091672Z - self: 2023-07-07T19:59:25.8091877Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8091991Z - aten_name: 2023-07-07T19:59:25.8092123Z - function_overloads: 2023-07-07T19:59:25.8092238Z - onnx_args: 2023-07-07T19:59:25.8092342Z - onnx_kwargs: 2023-07-07T19:59:25.8092648Z - diagnostic_context: 2023-07-07T19:59:25.8092861Z - Return value: 2023-07-07T19:59:25.8093068Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8093541Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8093981Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8094413Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8094866Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8095294Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8095718Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8096141Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8096565Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8096979Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8097401Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8097826Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8098274Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8098700Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8098979Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int32 PASSED [0.4135s] [ 95%] 2023-07-07T19:59:25.8099489Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 [2023-07-07 19:59:15,041] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8099638Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8099644Z 2023-07-07T19:59:25.8099846Z [2023-07-07 19:59:15,041] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8100049Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8100055Z 2023-07-07T19:59:25.8100240Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8100509Z - self: 2023-07-07T19:59:25.8100701Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8100846Z - aten_name: 2023-07-07T19:59:25.8100979Z - function_overloads: 2023-07-07T19:59:25.8101094Z - onnx_args: 2023-07-07T19:59:25.8101238Z - onnx_kwargs: 2023-07-07T19:59:25.8101543Z - diagnostic_context: 2023-07-07T19:59:25.8101757Z - Return value: 2023-07-07T19:59:25.8102017Z [2023-07-07 19:59:15,102] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8102165Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8102223Z 2023-07-07T19:59:25.8102423Z [2023-07-07 19:59:15,102] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8102629Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8102635Z 2023-07-07T19:59:25.8102820Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8103089Z - self: 2023-07-07T19:59:25.8103298Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8103413Z - aten_name: 2023-07-07T19:59:25.8103548Z - function_overloads: 2023-07-07T19:59:25.8103651Z - onnx_args: 2023-07-07T19:59:25.8103769Z - onnx_kwargs: 2023-07-07T19:59:25.8104073Z - diagnostic_context: 2023-07-07T19:59:25.8104289Z - Return value: 2023-07-07T19:59:25.8104561Z [2023-07-07 19:59:15,159] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8104710Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8104716Z 2023-07-07T19:59:25.8104913Z [2023-07-07 19:59:15,159] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8105121Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8105126Z 2023-07-07T19:59:25.8105307Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8105603Z - self: 2023-07-07T19:59:25.8105810Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8105926Z - aten_name: 2023-07-07T19:59:25.8106058Z - function_overloads: 2023-07-07T19:59:25.8106175Z - onnx_args: 2023-07-07T19:59:25.8106321Z - onnx_kwargs: 2023-07-07T19:59:25.8106625Z - diagnostic_context: 2023-07-07T19:59:25.8106823Z - Return value: 2023-07-07T19:59:25.8107099Z [2023-07-07 19:59:15,219] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8107246Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8107252Z 2023-07-07T19:59:25.8107450Z [2023-07-07 19:59:15,219] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8107651Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8107656Z 2023-07-07T19:59:25.8107839Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8108109Z - self: 2023-07-07T19:59:25.8108317Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8108430Z - aten_name: 2023-07-07T19:59:25.8108550Z - function_overloads: 2023-07-07T19:59:25.8108665Z - onnx_args: 2023-07-07T19:59:25.8108811Z - onnx_kwargs: 2023-07-07T19:59:25.8109119Z - diagnostic_context: 2023-07-07T19:59:25.8109331Z - Return value: 2023-07-07T19:59:25.8109606Z [2023-07-07 19:59:15,277] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8109754Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8109786Z 2023-07-07T19:59:25.8109986Z [2023-07-07 19:59:15,277] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8110181Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8110201Z 2023-07-07T19:59:25.8110371Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8110639Z - self: 2023-07-07T19:59:25.8110849Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8110963Z - aten_name: 2023-07-07T19:59:25.8111095Z - function_overloads: 2023-07-07T19:59:25.8111212Z - onnx_args: 2023-07-07T19:59:25.8111328Z - onnx_kwargs: 2023-07-07T19:59:25.8111619Z - diagnostic_context: 2023-07-07T19:59:25.8111830Z - Return value: 2023-07-07T19:59:25.8112105Z [2023-07-07 19:59:15,335] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8112255Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8112261Z 2023-07-07T19:59:25.8112457Z [2023-07-07 19:59:15,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8112662Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8112668Z 2023-07-07T19:59:25.8112851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8113153Z - self: 2023-07-07T19:59:25.8113361Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8113463Z - aten_name: 2023-07-07T19:59:25.8113598Z - function_overloads: 2023-07-07T19:59:25.8113714Z - onnx_args: 2023-07-07T19:59:25.8113861Z - onnx_kwargs: 2023-07-07T19:59:25.8114165Z - diagnostic_context: 2023-07-07T19:59:25.8114379Z - Return value: 2023-07-07T19:59:25.8114730Z [2023-07-07 19:59:15,390] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8114865Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8114884Z 2023-07-07T19:59:25.8115073Z [2023-07-07 19:59:15,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8115279Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8115285Z 2023-07-07T19:59:25.8115473Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8115744Z - self: 2023-07-07T19:59:25.8115950Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8116065Z - aten_name: 2023-07-07T19:59:25.8116198Z - function_overloads: 2023-07-07T19:59:25.8116313Z - onnx_args: 2023-07-07T19:59:25.8116416Z - onnx_kwargs: 2023-07-07T19:59:25.8116751Z - diagnostic_context: 2023-07-07T19:59:25.8116968Z - Return value: 2023-07-07T19:59:25.8117177Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8117622Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8118087Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8118520Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8118949Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8119380Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8119808Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8120237Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8120651Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8121102Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8121527Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8121951Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8122408Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8122832Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8123081Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int64 PASSED [0.4299s] [ 95%] 2023-07-07T19:59:25.8123589Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 [2023-07-07 19:59:15,473] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8123739Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8123748Z 2023-07-07T19:59:25.8123947Z [2023-07-07 19:59:15,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8124149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8124154Z 2023-07-07T19:59:25.8124363Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8124742Z - self: 2023-07-07T19:59:25.8124956Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8125070Z - aten_name: 2023-07-07T19:59:25.8125204Z - function_overloads: 2023-07-07T19:59:25.8125320Z - onnx_args: 2023-07-07T19:59:25.8125491Z - onnx_kwargs: 2023-07-07T19:59:25.8125793Z - diagnostic_context: 2023-07-07T19:59:25.8126007Z - Return value: 2023-07-07T19:59:25.8126269Z [2023-07-07 19:59:15,532] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8126414Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8126420Z 2023-07-07T19:59:25.8126619Z [2023-07-07 19:59:15,532] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8126823Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8126828Z 2023-07-07T19:59:25.8127010Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8127281Z - self: 2023-07-07T19:59:25.8127489Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8127605Z - aten_name: 2023-07-07T19:59:25.8127724Z - function_overloads: 2023-07-07T19:59:25.8127841Z - onnx_args: 2023-07-07T19:59:25.8127958Z - onnx_kwargs: 2023-07-07T19:59:25.8128262Z - diagnostic_context: 2023-07-07T19:59:25.8128476Z - Return value: 2023-07-07T19:59:25.8128749Z [2023-07-07 19:59:15,591] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8128936Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8128943Z 2023-07-07T19:59:25.8129141Z [2023-07-07 19:59:15,591] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8129344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8129353Z 2023-07-07T19:59:25.8129556Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8129823Z - self: 2023-07-07T19:59:25.8130028Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8130144Z - aten_name: 2023-07-07T19:59:25.8130277Z - function_overloads: 2023-07-07T19:59:25.8130392Z - onnx_args: 2023-07-07T19:59:25.8130507Z - onnx_kwargs: 2023-07-07T19:59:25.8130797Z - diagnostic_context: 2023-07-07T19:59:25.8131010Z - Return value: 2023-07-07T19:59:25.8131281Z [2023-07-07 19:59:15,650] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8131430Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8131437Z 2023-07-07T19:59:25.8131634Z [2023-07-07 19:59:15,650] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8131836Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8131842Z 2023-07-07T19:59:25.8132064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8132333Z - self: 2023-07-07T19:59:25.8132541Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8132643Z - aten_name: 2023-07-07T19:59:25.8132775Z - function_overloads: 2023-07-07T19:59:25.8132891Z - onnx_args: 2023-07-07T19:59:25.8133008Z - onnx_kwargs: 2023-07-07T19:59:25.8133344Z - diagnostic_context: 2023-07-07T19:59:25.8133558Z - Return value: 2023-07-07T19:59:25.8133829Z [2023-07-07 19:59:15,936] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8133975Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8133980Z 2023-07-07T19:59:25.8134166Z [2023-07-07 19:59:15,936] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8134372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8134378Z 2023-07-07T19:59:25.8134563Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8134829Z - self: 2023-07-07T19:59:25.8135037Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8135150Z - aten_name: 2023-07-07T19:59:25.8135283Z - function_overloads: 2023-07-07T19:59:25.8135398Z - onnx_args: 2023-07-07T19:59:25.8135502Z - onnx_kwargs: 2023-07-07T19:59:25.8135808Z - diagnostic_context: 2023-07-07T19:59:25.8136020Z - Return value: 2023-07-07T19:59:25.8136291Z [2023-07-07 19:59:15,994] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8136465Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8136472Z 2023-07-07T19:59:25.8136671Z [2023-07-07 19:59:15,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8143279Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8143289Z 2023-07-07T19:59:25.8143480Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8143881Z - self: 2023-07-07T19:59:25.8144094Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8144210Z - aten_name: 2023-07-07T19:59:25.8144335Z - function_overloads: 2023-07-07T19:59:25.8144453Z - onnx_args: 2023-07-07T19:59:25.8144570Z - onnx_kwargs: 2023-07-07T19:59:25.8144879Z - diagnostic_context: 2023-07-07T19:59:25.8145091Z - Return value: 2023-07-07T19:59:25.8145370Z [2023-07-07 19:59:16,048] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8145567Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8145573Z 2023-07-07T19:59:25.8145764Z [2023-07-07 19:59:16,048] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8145970Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8145976Z 2023-07-07T19:59:25.8146160Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8146462Z - self: 2023-07-07T19:59:25.8146672Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8146790Z - aten_name: 2023-07-07T19:59:25.8146923Z - function_overloads: 2023-07-07T19:59:25.8147040Z - onnx_args: 2023-07-07T19:59:25.8147147Z - onnx_kwargs: 2023-07-07T19:59:25.8147452Z - diagnostic_context: 2023-07-07T19:59:25.8147662Z - Return value: 2023-07-07T19:59:25.8147871Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8148326Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8148772Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8149215Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8149657Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8150094Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8150533Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8151011Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8151438Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8151910Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8152371Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8152804Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8153240Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8153671Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8153926Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_int8 PASSED [0.6404s] [ 95%] 2023-07-07T19:59:25.8154550Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 [2023-07-07 19:59:16,115] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8154711Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8154718Z 2023-07-07T19:59:25.8154924Z [2023-07-07 19:59:16,115] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8155130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8155139Z 2023-07-07T19:59:25.8155322Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8155590Z - self: 2023-07-07T19:59:25.8155790Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8155905Z - aten_name: 2023-07-07T19:59:25.8156039Z - function_overloads: 2023-07-07T19:59:25.8156155Z - onnx_args: 2023-07-07T19:59:25.8156273Z - onnx_kwargs: 2023-07-07T19:59:25.8156582Z - diagnostic_context: 2023-07-07T19:59:25.8156795Z - Return value: 2023-07-07T19:59:25.8157059Z [2023-07-07 19:59:16,173] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8157208Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8157216Z 2023-07-07T19:59:25.8157415Z [2023-07-07 19:59:16,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8157617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8157626Z 2023-07-07T19:59:25.8157810Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8158076Z - self: 2023-07-07T19:59:25.8158284Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8158397Z - aten_name: 2023-07-07T19:59:25.8158530Z - function_overloads: 2023-07-07T19:59:25.8158672Z - onnx_args: 2023-07-07T19:59:25.8158791Z - onnx_kwargs: 2023-07-07T19:59:25.8159097Z - diagnostic_context: 2023-07-07T19:59:25.8159349Z - Return value: 2023-07-07T19:59:25.8159622Z [2023-07-07 19:59:16,234] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8159799Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8159804Z 2023-07-07T19:59:25.8160004Z [2023-07-07 19:59:16,234] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8160212Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8160218Z 2023-07-07T19:59:25.8160389Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8160658Z - self: 2023-07-07T19:59:25.8160863Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8160979Z - aten_name: 2023-07-07T19:59:25.8161111Z - function_overloads: 2023-07-07T19:59:25.8161226Z - onnx_args: 2023-07-07T19:59:25.8161342Z - onnx_kwargs: 2023-07-07T19:59:25.8161648Z - diagnostic_context: 2023-07-07T19:59:25.8161847Z - Return value: 2023-07-07T19:59:25.8162117Z [2023-07-07 19:59:16,292] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8162290Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8162296Z 2023-07-07T19:59:25.8162495Z [2023-07-07 19:59:16,292] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8162699Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8162704Z 2023-07-07T19:59:25.8162889Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8163159Z - self: 2023-07-07T19:59:25.8163365Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8163478Z - aten_name: 2023-07-07T19:59:25.8163597Z - function_overloads: 2023-07-07T19:59:25.8163712Z - onnx_args: 2023-07-07T19:59:25.8163829Z - onnx_kwargs: 2023-07-07T19:59:25.8164137Z - diagnostic_context: 2023-07-07T19:59:25.8164347Z - Return value: 2023-07-07T19:59:25.8164832Z [2023-07-07 19:59:16,354] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8164983Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8164991Z 2023-07-07T19:59:25.8165190Z [2023-07-07 19:59:16,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8165379Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8165388Z 2023-07-07T19:59:25.8165575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8165843Z - self: 2023-07-07T19:59:25.8166052Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8166166Z - aten_name: 2023-07-07T19:59:25.8166299Z - function_overloads: 2023-07-07T19:59:25.8166415Z - onnx_args: 2023-07-07T19:59:25.8166591Z - onnx_kwargs: 2023-07-07T19:59:25.8166886Z - diagnostic_context: 2023-07-07T19:59:25.8167140Z - Return value: 2023-07-07T19:59:25.8167411Z [2023-07-07 19:59:16,412] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8167592Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8167598Z 2023-07-07T19:59:25.8167798Z [2023-07-07 19:59:16,412] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8168001Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8168010Z 2023-07-07T19:59:25.8168193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8168462Z - self: 2023-07-07T19:59:25.8168665Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8168765Z - aten_name: 2023-07-07T19:59:25.8168899Z - function_overloads: 2023-07-07T19:59:25.8169015Z - onnx_args: 2023-07-07T19:59:25.8169130Z - onnx_kwargs: 2023-07-07T19:59:25.8169434Z - diagnostic_context: 2023-07-07T19:59:25.8169645Z - Return value: 2023-07-07T19:59:25.8169917Z [2023-07-07 19:59:16,466] torch.onnx: [WARNING] FX Node: call_function:aten.scatter_reduce.two[name=scatter_reduce]. 2023-07-07T19:59:25.8170096Z ONNX Node: aten_scatter_reduce[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8170115Z 2023-07-07T19:59:25.8170300Z [2023-07-07 19:59:16,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8170503Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8170509Z 2023-07-07T19:59:25.8170690Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8170957Z - self: 2023-07-07T19:59:25.8171161Z - node: fx.Node(scatter_reduce[call_function]'aten.scatter_reduce.two') 2023-07-07T19:59:25.8171276Z - aten_name: 2023-07-07T19:59:25.8171407Z - function_overloads: 2023-07-07T19:59:25.8171522Z - onnx_args: 2023-07-07T19:59:25.8171627Z - onnx_kwargs: 2023-07-07T19:59:25.8171935Z - diagnostic_context: 2023-07-07T19:59:25.8172148Z - Return value: 2023-07-07T19:59:25.8172357Z SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8172806Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8173246Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8173676Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8174104Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8174561Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8174986Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8175429Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8175885Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8176307Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8176730Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8177153Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8177688Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8178192Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 SUBSKIP [0.0000s] (ONNX does't support include_self=False option) [ 95%] 2023-07-07T19:59:25.8178467Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_scatter_reduce_sum_cpu_uint8 PASSED [0.4166s] [ 95%] 2023-07-07T19:59:25.8178710Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_bool PASSED [0.1853s] [ 95%] 2023-07-07T19:59:25.8179248Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_float16 [2023-07-07 19:59:16,742] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8179397Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8179403Z 2023-07-07T19:59:25.8179605Z [2023-07-07 19:59:16,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8179877Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8179886Z 2023-07-07T19:59:25.8180058Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8180338Z - self: 2023-07-07T19:59:25.8180573Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8180708Z - aten_name: 2023-07-07T19:59:25.8180845Z - function_overloads: 2023-07-07T19:59:25.8180961Z - onnx_args: 2023-07-07T19:59:25.8181078Z - onnx_kwargs: 2023-07-07T19:59:25.8181448Z - diagnostic_context: 2023-07-07T19:59:25.8181601Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8181857Z [2023-07-07 19:59:16,816] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8182000Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8182009Z 2023-07-07T19:59:25.8182276Z [2023-07-07 19:59:16,816] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8182517Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8182523Z 2023-07-07T19:59:25.8182708Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8183082Z - self: 2023-07-07T19:59:25.8183268Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8183404Z - aten_name: 2023-07-07T19:59:25.8183539Z - function_overloads: 2023-07-07T19:59:25.8183677Z - onnx_args: 2023-07-07T19:59:25.8183841Z - onnx_kwargs: 2023-07-07T19:59:25.8184145Z - diagnostic_context: 2023-07-07T19:59:25.8184307Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8184636Z [2023-07-07 19:59:16,893] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8184783Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8184788Z 2023-07-07T19:59:25.8184977Z [2023-07-07 19:59:16,893] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8185184Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8185189Z 2023-07-07T19:59:25.8185376Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8185642Z - self: 2023-07-07T19:59:25.8185826Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8185942Z - aten_name: 2023-07-07T19:59:25.8186109Z - function_overloads: 2023-07-07T19:59:25.8186227Z - onnx_args: 2023-07-07T19:59:25.8186330Z - onnx_kwargs: 2023-07-07T19:59:25.8186636Z - diagnostic_context: 2023-07-07T19:59:25.8186794Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8186873Z PASSED [0.2502s] [ 96%] 2023-07-07T19:59:25.8187349Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_float32 [2023-07-07 19:59:16,980] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8187493Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8187499Z 2023-07-07T19:59:25.8187697Z [2023-07-07 19:59:16,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8187899Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8187908Z 2023-07-07T19:59:25.8188092Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8188348Z - self: 2023-07-07T19:59:25.8188533Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8188648Z - aten_name: 2023-07-07T19:59:25.8188786Z - function_overloads: 2023-07-07T19:59:25.8188903Z - onnx_args: 2023-07-07T19:59:25.8189020Z - onnx_kwargs: 2023-07-07T19:59:25.8189325Z - diagnostic_context: 2023-07-07T19:59:25.8189473Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8189728Z [2023-07-07 19:59:17,053] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8189869Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8189877Z 2023-07-07T19:59:25.8190075Z [2023-07-07 19:59:17,054] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8190311Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8190318Z 2023-07-07T19:59:25.8190503Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8190805Z - self: 2023-07-07T19:59:25.8190988Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8191132Z - aten_name: 2023-07-07T19:59:25.8191252Z - function_overloads: 2023-07-07T19:59:25.8191369Z - onnx_args: 2023-07-07T19:59:25.8191487Z - onnx_kwargs: 2023-07-07T19:59:25.8191792Z - diagnostic_context: 2023-07-07T19:59:25.8191956Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8192205Z [2023-07-07 19:59:17,122] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8192350Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8192357Z 2023-07-07T19:59:25.8192554Z [2023-07-07 19:59:17,122] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8192747Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8192764Z 2023-07-07T19:59:25.8192936Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8193206Z - self: 2023-07-07T19:59:25.8193387Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8193500Z - aten_name: 2023-07-07T19:59:25.8193664Z - function_overloads: 2023-07-07T19:59:25.8193779Z - onnx_args: 2023-07-07T19:59:25.8193895Z - onnx_kwargs: 2023-07-07T19:59:25.8194189Z - diagnostic_context: 2023-07-07T19:59:25.8194347Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8194425Z PASSED [0.2169s] [ 96%] 2023-07-07T19:59:25.8194974Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_int16 [2023-07-07 19:59:17,199] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8195119Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8195125Z 2023-07-07T19:59:25.8195323Z [2023-07-07 19:59:17,199] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8195524Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8195533Z 2023-07-07T19:59:25.8195716Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8195986Z - self: 2023-07-07T19:59:25.8196157Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8196269Z - aten_name: 2023-07-07T19:59:25.8196404Z - function_overloads: 2023-07-07T19:59:25.8196520Z - onnx_args: 2023-07-07T19:59:25.8196637Z - onnx_kwargs: 2023-07-07T19:59:25.8196943Z - diagnostic_context: 2023-07-07T19:59:25.8197104Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8197166Z XFAIL [0.0647s] [ 96%] 2023-07-07T19:59:25.8197639Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_int32 [2023-07-07 19:59:17,265] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8197778Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8197784Z 2023-07-07T19:59:25.8198016Z [2023-07-07 19:59:17,266] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8198218Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8198266Z 2023-07-07T19:59:25.8198450Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8198717Z - self: 2023-07-07T19:59:25.8198928Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8199041Z - aten_name: 2023-07-07T19:59:25.8199162Z - function_overloads: 2023-07-07T19:59:25.8199277Z - onnx_args: 2023-07-07T19:59:25.8199396Z - onnx_kwargs: 2023-07-07T19:59:25.8199701Z - diagnostic_context: 2023-07-07T19:59:25.8199859Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8200110Z [2023-07-07 19:59:17,343] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8200252Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8200260Z 2023-07-07T19:59:25.8200457Z [2023-07-07 19:59:17,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8200648Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8200669Z 2023-07-07T19:59:25.8200841Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8201107Z - self: 2023-07-07T19:59:25.8201316Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8201431Z - aten_name: 2023-07-07T19:59:25.8201564Z - function_overloads: 2023-07-07T19:59:25.8201681Z - onnx_args: 2023-07-07T19:59:25.8201800Z - onnx_kwargs: 2023-07-07T19:59:25.8202090Z - diagnostic_context: 2023-07-07T19:59:25.8202252Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8202503Z [2023-07-07 19:59:17,409] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8202647Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8202653Z 2023-07-07T19:59:25.8202850Z [2023-07-07 19:59:17,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8203050Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8203058Z 2023-07-07T19:59:25.8203239Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8203506Z - self: 2023-07-07T19:59:25.8203690Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8203792Z - aten_name: 2023-07-07T19:59:25.8203924Z - function_overloads: 2023-07-07T19:59:25.8204040Z - onnx_args: 2023-07-07T19:59:25.8204156Z - onnx_kwargs: 2023-07-07T19:59:25.8204588Z - diagnostic_context: 2023-07-07T19:59:25.8204753Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8204831Z PASSED [0.2086s] [ 96%] 2023-07-07T19:59:25.8205058Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_int64 PASSED [0.1800s] [ 96%] 2023-07-07T19:59:25.8205530Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_int8 [2023-07-07 19:59:17,654] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8205727Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8205734Z 2023-07-07T19:59:25.8205935Z [2023-07-07 19:59:17,654] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8206179Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8206185Z 2023-07-07T19:59:25.8206404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8206672Z - self: 2023-07-07T19:59:25.8206858Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8206972Z - aten_name: 2023-07-07T19:59:25.8207093Z - function_overloads: 2023-07-07T19:59:25.8207209Z - onnx_args: 2023-07-07T19:59:25.8207325Z - onnx_kwargs: 2023-07-07T19:59:25.8207632Z - diagnostic_context: 2023-07-07T19:59:25.8207793Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8207868Z XFAIL [0.0593s] [ 96%] 2023-07-07T19:59:25.8208343Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_square_cpu_uint8 [2023-07-07 19:59:17,716] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T19:59:25.8208487Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8208492Z 2023-07-07T19:59:25.8208679Z [2023-07-07 19:59:17,716] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8208917Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8208924Z 2023-07-07T19:59:25.8209109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8209378Z - self: 2023-07-07T19:59:25.8209561Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T19:59:25.8209674Z - aten_name: 2023-07-07T19:59:25.8209807Z - function_overloads: 2023-07-07T19:59:25.8209922Z - onnx_args: 2023-07-07T19:59:25.8210026Z - onnx_kwargs: 2023-07-07T19:59:25.8210331Z - diagnostic_context: 2023-07-07T19:59:25.8210489Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T19:59:25.8210750Z [2023-07-07 19:59:17,718] torch.onnx: [WARNING] FX Node: call_function:aten.pow.Tensor_Tensor[name=pow_1]. 2023-07-07T19:59:25.8210883Z ONNX Node: aten_pow[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8210889Z 2023-07-07T19:59:25.8211085Z [2023-07-07 19:59:17,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8211289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8211295Z 2023-07-07T19:59:25.8211478Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8211750Z - self: 2023-07-07T19:59:25.8211926Z - node: fx.Node(pow_1[call_function]'aten.pow.Tensor_Tensor') 2023-07-07T19:59:25.8212043Z - aten_name: 2023-07-07T19:59:25.8212175Z - function_overloads: 2023-07-07T19:59:25.8212290Z - onnx_args: 2023-07-07T19:59:25.8212406Z - onnx_kwargs: 2023-07-07T19:59:25.8212710Z - diagnostic_context: 2023-07-07T19:59:25.8212855Z - Return value: `OnnxFunction(aten_pow)` 2023-07-07T19:59:25.8212918Z XFAIL [0.0591s] [ 97%] 2023-07-07T19:59:25.8214082Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_bool 2023-07-07 19:59:18.204367079 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x93af460_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8214158Z 2023-07-07T19:59:25.8214221Z XFAIL [0.4808s] [ 97%] 2023-07-07T19:59:25.8215361Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float16 2023-07-07 19:59:18.713377015 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x903f720_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8215384Z 2023-07-07T19:59:25.8216433Z 2023-07-07 19:59:18.761497458 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x94faba0_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8216473Z 2023-07-07T19:59:25.8216628Z XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T19:59:25.8216936Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float16 XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T19:59:25.8217167Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float16 PASSED [0.5576s] [ 97%] 2023-07-07T19:59:25.8218300Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float32 2023-07-07 19:59:19.247734387 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x8dd7f90_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8218323Z 2023-07-07T19:59:25.8219333Z 2023-07-07 19:59:19.313552948 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x8dd7f90_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8219344Z 2023-07-07T19:59:25.8219496Z XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T19:59:25.8219803Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float32 XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T19:59:25.8220034Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float32 PASSED [0.5553s] [ 97%] 2023-07-07T19:59:25.8221191Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16 2023-07-07 19:59:19.814777534 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x92dc370_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8221265Z 2023-07-07T19:59:25.8222283Z 2023-07-07 19:59:19.881067838 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x92dc370_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8222290Z 2023-07-07T19:59:25.8222442Z XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T19:59:25.8222746Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16 XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T19:59:25.8222976Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16 PASSED [0.5616s] [ 97%] 2023-07-07T19:59:25.8224138Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32 2023-07-07 19:59:20.441796751 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x903f720_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8224149Z 2023-07-07T19:59:25.8225158Z 2023-07-07 19:59:20.508914531 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x903f720_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8225167Z 2023-07-07T19:59:25.8225319Z XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8225620Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32 XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8225864Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32 PASSED [0.6261s] [ 98%] 2023-07-07T19:59:25.8226997Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64 2023-07-07 19:59:21.111152874 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x901b3b0_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8227008Z 2023-07-07T19:59:25.8228044Z 2023-07-07 19:59:21.176969658 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x901b3b0_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8228106Z 2023-07-07T19:59:25.8228257Z XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8228559Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64 XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8228798Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64 PASSED [0.6663s] [ 98%] 2023-07-07T19:59:25.8229912Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8 2023-07-07 19:59:21.697470921 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x8dd7f90_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8229923Z 2023-07-07T19:59:25.8230961Z 2023-07-07 19:59:21.764670214 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x8dd7f90_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8230969Z 2023-07-07T19:59:25.8231122Z XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8231426Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8 XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8231669Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8 PASSED [0.5861s] [ 98%] 2023-07-07T19:59:25.8232797Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8 2023-07-07 19:59:22.331304908 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x92dc370_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8232807Z 2023-07-07T19:59:25.8233817Z 2023-07-07 19:59:22.383281248 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'_0x92dc370_n1' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:24 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) i < input_shape.NumDimensions() was false. The dimension with value zero exceeds the dimension size of the input tensor. 2023-07-07T19:59:25.8233826Z 2023-07-07T19:59:25.8233977Z XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8234307Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8 XFAIL [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T19:59:25.8234631Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8 PASSED [0.6158s] [ 98%] 2023-07-07T19:59:25.8235146Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_bool [2023-07-07 19:59:22,675] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8235323Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8235329Z 2023-07-07T19:59:25.8235535Z [2023-07-07 19:59:22,676] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8235740Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8235746Z 2023-07-07T19:59:25.8235933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8236206Z - self: 2023-07-07T19:59:25.8236410Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8236527Z - aten_name: 2023-07-07T19:59:25.8236661Z - function_overloads: 2023-07-07T19:59:25.8236767Z - onnx_args: 2023-07-07T19:59:25.8236887Z - onnx_kwargs: 2023-07-07T19:59:25.8237195Z - diagnostic_context: 2023-07-07T19:59:25.8237353Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8237657Z [2023-07-07 19:59:22,677] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8237802Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8237808Z 2023-07-07T19:59:25.8238009Z [2023-07-07 19:59:22,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8238212Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8238221Z 2023-07-07T19:59:25.8238405Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8238663Z - self: 2023-07-07T19:59:25.8238866Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8238980Z - aten_name: 2023-07-07T19:59:25.8239113Z - function_overloads: 2023-07-07T19:59:25.8239228Z - onnx_args: 2023-07-07T19:59:25.8239346Z - onnx_kwargs: 2023-07-07T19:59:25.8239650Z - diagnostic_context: 2023-07-07T19:59:25.8239796Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8240071Z [2023-07-07 19:59:22,678] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8240212Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8240220Z 2023-07-07T19:59:25.8240419Z [2023-07-07 19:59:22,678] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8240625Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8240631Z 2023-07-07T19:59:25.8240815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8241083Z - self: 2023-07-07T19:59:25.8241289Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8241402Z - aten_name: 2023-07-07T19:59:25.8241521Z - function_overloads: 2023-07-07T19:59:25.8241664Z - onnx_args: 2023-07-07T19:59:25.8241783Z - onnx_kwargs: 2023-07-07T19:59:25.8242087Z - diagnostic_context: 2023-07-07T19:59:25.8242274Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8242351Z PASSED [0.3495s] [ 98%] 2023-07-07T19:59:25.8242842Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float16 [2023-07-07 19:59:22,797] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8243000Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8243019Z 2023-07-07T19:59:25.8243206Z [2023-07-07 19:59:22,797] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8243408Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8243414Z 2023-07-07T19:59:25.8243596Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8243864Z - self: 2023-07-07T19:59:25.8244063Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8244177Z - aten_name: 2023-07-07T19:59:25.8244311Z - function_overloads: 2023-07-07T19:59:25.8244568Z - onnx_args: 2023-07-07T19:59:25.8244708Z - onnx_kwargs: 2023-07-07T19:59:25.8245016Z - diagnostic_context: 2023-07-07T19:59:25.8245172Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8245497Z [2023-07-07 19:59:22,798] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8245641Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8245647Z 2023-07-07T19:59:25.8245849Z [2023-07-07 19:59:22,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8246054Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8246062Z 2023-07-07T19:59:25.8246248Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8246520Z - self: 2023-07-07T19:59:25.8246710Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8246826Z - aten_name: 2023-07-07T19:59:25.8246959Z - function_overloads: 2023-07-07T19:59:25.8247077Z - onnx_args: 2023-07-07T19:59:25.8247195Z - onnx_kwargs: 2023-07-07T19:59:25.8247502Z - diagnostic_context: 2023-07-07T19:59:25.8247662Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8247922Z [2023-07-07 19:59:22,799] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8248068Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8248074Z 2023-07-07T19:59:25.8248272Z [2023-07-07 19:59:22,799] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8248479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8248485Z 2023-07-07T19:59:25.8248668Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8248940Z - self: 2023-07-07T19:59:25.8249143Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8249258Z - aten_name: 2023-07-07T19:59:25.8249391Z - function_overloads: 2023-07-07T19:59:25.8249530Z - onnx_args: 2023-07-07T19:59:25.8249649Z - onnx_kwargs: 2023-07-07T19:59:25.8249952Z - diagnostic_context: 2023-07-07T19:59:25.8250164Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8250243Z PASSED [0.1276s] [ 98%] 2023-07-07T19:59:25.8250775Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float32 [2023-07-07 19:59:22,947] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8250918Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8250924Z 2023-07-07T19:59:25.8251123Z [2023-07-07 19:59:22,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8251314Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8251319Z 2023-07-07T19:59:25.8251505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8251773Z - self: 2023-07-07T19:59:25.8251978Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8252093Z - aten_name: 2023-07-07T19:59:25.8252231Z - function_overloads: 2023-07-07T19:59:25.8252348Z - onnx_args: 2023-07-07T19:59:25.8252464Z - onnx_kwargs: 2023-07-07T19:59:25.8252755Z - diagnostic_context: 2023-07-07T19:59:25.8252912Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8253218Z [2023-07-07 19:59:22,949] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8253364Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8253372Z 2023-07-07T19:59:25.8253570Z [2023-07-07 19:59:22,949] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8253773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8253780Z 2023-07-07T19:59:25.8253963Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8254232Z - self: 2023-07-07T19:59:25.8254435Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8254538Z - aten_name: 2023-07-07T19:59:25.8254670Z - function_overloads: 2023-07-07T19:59:25.8254789Z - onnx_args: 2023-07-07T19:59:25.8254906Z - onnx_kwargs: 2023-07-07T19:59:25.8255210Z - diagnostic_context: 2023-07-07T19:59:25.8255368Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8255641Z [2023-07-07 19:59:22,950] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8255772Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8255778Z 2023-07-07T19:59:25.8255975Z [2023-07-07 19:59:22,950] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8256180Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8256185Z 2023-07-07T19:59:25.8256373Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8256643Z - self: 2023-07-07T19:59:25.8256848Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8256963Z - aten_name: 2023-07-07T19:59:25.8257122Z - function_overloads: 2023-07-07T19:59:25.8257226Z - onnx_args: 2023-07-07T19:59:25.8257342Z - onnx_kwargs: 2023-07-07T19:59:25.8257678Z - diagnostic_context: 2023-07-07T19:59:25.8257838Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8257947Z PASSED [0.1671s] [ 99%] 2023-07-07T19:59:25.8258433Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int16 [2023-07-07 19:59:23,111] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8258574Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8258581Z 2023-07-07T19:59:25.8258783Z [2023-07-07 19:59:23,111] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8258985Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8258994Z 2023-07-07T19:59:25.8259165Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8259436Z - self: 2023-07-07T19:59:25.8259634Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8259750Z - aten_name: 2023-07-07T19:59:25.8259884Z - function_overloads: 2023-07-07T19:59:25.8260001Z - onnx_args: 2023-07-07T19:59:25.8260119Z - onnx_kwargs: 2023-07-07T19:59:25.8260424Z - diagnostic_context: 2023-07-07T19:59:25.8260599Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8260873Z [2023-07-07 19:59:23,112] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8261019Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8261025Z 2023-07-07T19:59:25.8261222Z [2023-07-07 19:59:23,112] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8261427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8261433Z 2023-07-07T19:59:25.8261617Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8261887Z - self: 2023-07-07T19:59:25.8262090Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8262190Z - aten_name: 2023-07-07T19:59:25.8262325Z - function_overloads: 2023-07-07T19:59:25.8262440Z - onnx_args: 2023-07-07T19:59:25.8262557Z - onnx_kwargs: 2023-07-07T19:59:25.8262861Z - diagnostic_context: 2023-07-07T19:59:25.8263057Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8263398Z [2023-07-07 19:59:23,113] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8263543Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8263549Z 2023-07-07T19:59:25.8263735Z [2023-07-07 19:59:23,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8263939Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8263945Z 2023-07-07T19:59:25.8264128Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8264395Z - self: 2023-07-07T19:59:25.8264597Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8264709Z - aten_name: 2023-07-07T19:59:25.8264877Z - function_overloads: 2023-07-07T19:59:25.8264994Z - onnx_args: 2023-07-07T19:59:25.8265098Z - onnx_kwargs: 2023-07-07T19:59:25.8265433Z - diagnostic_context: 2023-07-07T19:59:25.8265589Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8265697Z PASSED [0.1362s] [ 99%] 2023-07-07T19:59:25.8266188Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int32 [2023-07-07 19:59:23,247] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8266329Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8266337Z 2023-07-07T19:59:25.8266534Z [2023-07-07 19:59:23,247] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8266736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8266742Z 2023-07-07T19:59:25.8266963Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8267272Z - self: 2023-07-07T19:59:25.8267472Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8267587Z - aten_name: 2023-07-07T19:59:25.8267719Z - function_overloads: 2023-07-07T19:59:25.8267834Z - onnx_args: 2023-07-07T19:59:25.8267950Z - onnx_kwargs: 2023-07-07T19:59:25.8268251Z - diagnostic_context: 2023-07-07T19:59:25.8268441Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8268704Z [2023-07-07 19:59:23,248] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8268848Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8268854Z 2023-07-07T19:59:25.8269050Z [2023-07-07 19:59:23,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8269254Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8269260Z 2023-07-07T19:59:25.8269444Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8269712Z - self: 2023-07-07T19:59:25.8269911Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8270025Z - aten_name: 2023-07-07T19:59:25.8270146Z - function_overloads: 2023-07-07T19:59:25.8270261Z - onnx_args: 2023-07-07T19:59:25.8270376Z - onnx_kwargs: 2023-07-07T19:59:25.8270679Z - diagnostic_context: 2023-07-07T19:59:25.8270835Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8271106Z [2023-07-07 19:59:23,249] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8271250Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8271256Z 2023-07-07T19:59:25.8271454Z [2023-07-07 19:59:23,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8271645Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8271663Z 2023-07-07T19:59:25.8271836Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8272104Z - self: 2023-07-07T19:59:25.8272305Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8272449Z - aten_name: 2023-07-07T19:59:25.8272583Z - function_overloads: 2023-07-07T19:59:25.8272698Z - onnx_args: 2023-07-07T19:59:25.8272865Z - onnx_kwargs: 2023-07-07T19:59:25.8273157Z - diagnostic_context: 2023-07-07T19:59:25.8273312Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8273424Z PASSED [0.1341s] [ 99%] 2023-07-07T19:59:25.8273911Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int64 [2023-07-07 19:59:23,369] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8274056Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8274062Z 2023-07-07T19:59:25.8274260Z [2023-07-07 19:59:23,369] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8274523Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8274529Z 2023-07-07T19:59:25.8274714Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8274986Z - self: 2023-07-07T19:59:25.8275174Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8275290Z - aten_name: 2023-07-07T19:59:25.8275423Z - function_overloads: 2023-07-07T19:59:25.8275539Z - onnx_args: 2023-07-07T19:59:25.8275655Z - onnx_kwargs: 2023-07-07T19:59:25.8276005Z - diagnostic_context: 2023-07-07T19:59:25.8276164Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8276438Z [2023-07-07 19:59:23,370] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8276571Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8276577Z 2023-07-07T19:59:25.8276774Z [2023-07-07 19:59:23,370] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8276980Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8276988Z 2023-07-07T19:59:25.8277170Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8277436Z - self: 2023-07-07T19:59:25.8277637Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8277752Z - aten_name: 2023-07-07T19:59:25.8277883Z - function_overloads: 2023-07-07T19:59:25.8277987Z - onnx_args: 2023-07-07T19:59:25.8278105Z - onnx_kwargs: 2023-07-07T19:59:25.8278411Z - diagnostic_context: 2023-07-07T19:59:25.8278566Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8278843Z [2023-07-07 19:59:23,371] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8278984Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8278992Z 2023-07-07T19:59:25.8279188Z [2023-07-07 19:59:23,371] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8279389Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8279395Z 2023-07-07T19:59:25.8279579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8279833Z - self: 2023-07-07T19:59:25.8280070Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8280185Z - aten_name: 2023-07-07T19:59:25.8280316Z - function_overloads: 2023-07-07T19:59:25.8280430Z - onnx_args: 2023-07-07T19:59:25.8280578Z - onnx_kwargs: 2023-07-07T19:59:25.8280880Z - diagnostic_context: 2023-07-07T19:59:25.8281054Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8281133Z PASSED [0.1196s] [ 99%] 2023-07-07T19:59:25.8281619Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int8 [2023-07-07 19:59:23,490] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8281763Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8281768Z 2023-07-07T19:59:25.8281965Z [2023-07-07 19:59:23,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8282168Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8282174Z 2023-07-07T19:59:25.8282356Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8282624Z - self: 2023-07-07T19:59:25.8282825Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8282927Z - aten_name: 2023-07-07T19:59:25.8283059Z - function_overloads: 2023-07-07T19:59:25.8283176Z - onnx_args: 2023-07-07T19:59:25.8283293Z - onnx_kwargs: 2023-07-07T19:59:25.8283622Z - diagnostic_context: 2023-07-07T19:59:25.8283779Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8284053Z [2023-07-07 19:59:23,491] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8284195Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8284200Z 2023-07-07T19:59:25.8284496Z [2023-07-07 19:59:23,491] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8284706Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8284714Z 2023-07-07T19:59:25.8284896Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8285166Z - self: 2023-07-07T19:59:25.8285368Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8285484Z - aten_name: 2023-07-07T19:59:25.8285616Z - function_overloads: 2023-07-07T19:59:25.8285731Z - onnx_args: 2023-07-07T19:59:25.8285836Z - onnx_kwargs: 2023-07-07T19:59:25.8286146Z - diagnostic_context: 2023-07-07T19:59:25.8286303Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8286576Z [2023-07-07 19:59:23,492] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8286718Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8286726Z 2023-07-07T19:59:25.8286922Z [2023-07-07 19:59:23,492] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8287123Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8287128Z 2023-07-07T19:59:25.8287314Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8287584Z - self: 2023-07-07T19:59:25.8287828Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8287946Z - aten_name: 2023-07-07T19:59:25.8288077Z - function_overloads: 2023-07-07T19:59:25.8288227Z - onnx_args: 2023-07-07T19:59:25.8288344Z - onnx_kwargs: 2023-07-07T19:59:25.8288648Z - diagnostic_context: 2023-07-07T19:59:25.8288837Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8288904Z PASSED [0.1232s] [ 99%] 2023-07-07T19:59:25.8289389Z onnx/test_fx_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_uint8 [2023-07-07 19:59:23,614] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T19:59:25.8289531Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8289536Z 2023-07-07T19:59:25.8289732Z [2023-07-07 19:59:23,614] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8289934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8289940Z 2023-07-07T19:59:25.8290122Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8290388Z - self: 2023-07-07T19:59:25.8290589Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8290702Z - aten_name: 2023-07-07T19:59:25.8290822Z - function_overloads: 2023-07-07T19:59:25.8290936Z - onnx_args: 2023-07-07T19:59:25.8291053Z - onnx_kwargs: 2023-07-07T19:59:25.8291395Z - diagnostic_context: 2023-07-07T19:59:25.8291555Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8291830Z [2023-07-07 19:59:23,615] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T19:59:25.8291973Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8291978Z 2023-07-07T19:59:25.8292178Z [2023-07-07 19:59:23,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8292370Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8292389Z 2023-07-07T19:59:25.8292559Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8292827Z - self: 2023-07-07T19:59:25.8293032Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8293145Z - aten_name: 2023-07-07T19:59:25.8293278Z - function_overloads: 2023-07-07T19:59:25.8293395Z - onnx_args: 2023-07-07T19:59:25.8293516Z - onnx_kwargs: 2023-07-07T19:59:25.8293809Z - diagnostic_context: 2023-07-07T19:59:25.8293966Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8294239Z [2023-07-07 19:59:23,616] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T19:59:25.8294385Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T19:59:25.8294391Z 2023-07-07T19:59:25.8294588Z [2023-07-07 19:59:23,616] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T19:59:25.8294789Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T19:59:25.8294795Z 2023-07-07T19:59:25.8294979Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T19:59:25.8295244Z - self: 2023-07-07T19:59:25.8295483Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T19:59:25.8295586Z - aten_name: 2023-07-07T19:59:25.8295718Z - function_overloads: 2023-07-07T19:59:25.8295864Z - onnx_args: 2023-07-07T19:59:25.8295980Z - onnx_kwargs: 2023-07-07T19:59:25.8296282Z - diagnostic_context: 2023-07-07T19:59:25.8296465Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T19:59:25.8296542Z PASSED [0.1188s] [100%] 2023-07-07T19:59:25.8296547Z 2023-07-07T19:59:25.8296915Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_fx_op_consistency/onnx.test_fx_op_consistency-8191c1211763578f.xml - 2023-07-07T19:59:25.8297044Z ========== 433 passed, 790 skipped, 167 xfailed in 219.09s (0:03:39) =========== 2023-07-07T19:59:25.8297049Z 2023-07-07T19:59:25.8297611Z ##[endgroup] 2023-07-07T19:59:25.8298110Z FINISHED PRINTING LOG FILE of onnx/test_fx_op_consistency 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_op_consistency_ic3ixqnn.log) 2023-07-07T19:59:25.8298118Z 2023-07-07T19:59:28.2798260Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T19:59:28.2807402Z Ignoring disabled issues: [''] 2023-07-07T19:59:29.6211360Z Running onnx/test_fx_to_onnx_with_onnxruntime 1/1 ... [2023-07-07 19:59:29.620721] 2023-07-07T19:59:29.6212594Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_fx_to_onnx_with_onnxruntime.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_fx_to_onnx_with_onnxruntime_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 19:59:29.620968] 2023-07-07T20:05:31.0677050Z 2023-07-07T20:05:31.0677530Z Expand the folded group to see the log file of onnx/test_fx_to_onnx_with_onnxruntime 1/1 2023-07-07T20:05:31.0678724Z ##[group]PRINTING LOG FILE of onnx/test_fx_to_onnx_with_onnxruntime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_to_onnx_with_onnxruntime_z0po2oya.log) 2023-07-07T20:05:31.0737115Z Test results will be stored in test-reports/python-pytest/onnx.test_fx_to_onnx_with_onnxruntime/onnx.test_fx_to_onnx_with_onnxruntime-530f37bf08510e84.xml 2023-07-07T20:05:31.0737790Z ============================= test session starts ============================== 2023-07-07T20:05:31.0738440Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:05:31.0738894Z cachedir: .pytest_cache 2023-07-07T20:05:31.0739574Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:05:31.0818316Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:05:31.0818674Z configfile: pytest.ini 2023-07-07T20:05:31.0819530Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:05:31.0944945Z collecting ... collected 108 items 2023-07-07T20:05:31.0974515Z Running 108 items in this shard: test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_arange, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_expand_as_fill_seperate_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_expand_as_fill_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_expand_as_fill_zero, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_flatten_dynamic_axes, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_func_with_args_and_tensor_kwargs, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_func_with_nested_input_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_func_with_nested_output_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_gpt2_tiny, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_large_scale_exporter_with_tiny_gpt2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_large_scale_exporter_with_toy_mlp, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_log_sigmoid, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_matmul, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_mnist, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_mutation, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_none_input, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_resnet18, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_scalar_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_shufflenet_v2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_sigmoid_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_simple_function, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_slice, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_squeeze_runtime_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_transpose_infer_shape, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_view_dynamic_zero_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_xfail_func_with_non_tensor_args, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_arange, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_expand_as_fill_seperate_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_expand_as_fill_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_expand_as_fill_zero, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_flatten_dynamic_axes, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_func_with_args_and_tensor_kwargs, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_func_with_nested_input_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_func_with_nested_output_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_gpt2_tiny, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_large_scale_exporter_with_tiny_gpt2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_large_scale_exporter_with_toy_mlp, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_log_sigmoid, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_matmul, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_mnist, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_mutation, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_none_input, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_resnet18, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_scalar_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_shufflenet_v2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_sigmoid_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_simple_function, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_slice, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_squeeze_runtime_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_transpose_infer_shape, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_view_dynamic_zero_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_xfail_func_with_non_tensor_args, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_arange, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_expand_as_fill_seperate_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_expand_as_fill_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_expand_as_fill_zero, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_flatten_dynamic_axes, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_func_with_args_and_tensor_kwargs, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_func_with_nested_input_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_func_with_nested_output_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_gpt2_tiny, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_large_scale_exporter_with_tiny_gpt2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_large_scale_exporter_with_toy_mlp, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_log_sigmoid, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_matmul, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_mnist, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_mutation, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_none_input, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_resnet18, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_scalar_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_shufflenet_v2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_sigmoid_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_simple_function, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_slice, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_squeeze_runtime_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_transpose_infer_shape, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_view_dynamic_zero_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_xfail_func_with_non_tensor_args, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_arange, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_expand_as_fill_seperate_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_expand_as_fill_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_expand_as_fill_zero, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_flatten_dynamic_axes, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_func_with_args_and_tensor_kwargs, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_func_with_nested_input_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_func_with_nested_output_structure, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_gpt2_tiny, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_large_scale_exporter_with_tiny_gpt2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_large_scale_exporter_with_toy_mlp, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_log_sigmoid, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_matmul, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_mnist, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_mutation, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_none_input, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_resnet18, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_scalar_tensor, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_shufflenet_v2, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_sigmoid_add, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_simple_function, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_slice, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_squeeze_runtime_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_transpose_infer_shape, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_view_dynamic_zero_dim, test/onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_xfail_func_with_non_tensor_args 2023-07-07T20:05:31.0999793Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:05:31.0999947Z 2023-07-07T20:05:31.1000212Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_add PASSED [0.8978s] [ 0%] 2023-07-07T20:05:31.1001447Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_arange /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:05:31.1002121Z _C._set_default_tensor_type(t) 2023-07-07T20:05:31.1002494Z [2023-07-07 19:59:33,724] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.1002821Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1002979Z 2023-07-07T20:05:31.1003182Z [2023-07-07 19:59:33,724] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1003543Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1003772Z 2023-07-07T20:05:31.1008899Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1009523Z - self: 2023-07-07T20:05:31.1010109Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.1010586Z - aten_name: 2023-07-07T20:05:31.1011058Z - function_overloads: 2023-07-07T20:05:31.1011522Z - onnx_args: 2023-07-07T20:05:31.1011972Z - onnx_kwargs: 2023-07-07T20:05:31.1012746Z - diagnostic_context: 2023-07-07T20:05:31.1013174Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1013583Z [2023-07-07 19:59:33,727] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange]. 2023-07-07T20:05:31.1013979Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1014136Z 2023-07-07T20:05:31.1014390Z [2023-07-07 19:59:33,727] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1014751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1014978Z 2023-07-07T20:05:31.1015164Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1015645Z - self: 2023-07-07T20:05:31.1016048Z - node: fx.Node(arange[call_function]'aten.arange.default') 2023-07-07T20:05:31.1016328Z - aten_name: 2023-07-07T20:05:31.1016575Z - function_overloads: 2023-07-07T20:05:31.1016806Z - onnx_args: 2023-07-07T20:05:31.1017039Z - onnx_kwargs: 2023-07-07T20:05:31.1017468Z - diagnostic_context: 2023-07-07T20:05:31.1017934Z - Return value: 2023-07-07T20:05:31.1018380Z [2023-07-07 19:59:33,731] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange_1]. 2023-07-07T20:05:31.1018826Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1019092Z 2023-07-07T20:05:31.1019303Z [2023-07-07 19:59:33,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1028055Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1028541Z 2023-07-07T20:05:31.1028827Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1029686Z - self: 2023-07-07T20:05:31.1030133Z - node: fx.Node(arange_1[call_function]'aten.arange.default') 2023-07-07T20:05:31.1030420Z - aten_name: 2023-07-07T20:05:31.1030734Z - function_overloads: 2023-07-07T20:05:31.1031135Z - onnx_args: 2023-07-07T20:05:31.1031549Z - onnx_kwargs: 2023-07-07T20:05:31.1032263Z - diagnostic_context: 2023-07-07T20:05:31.1032740Z - Return value: 2023-07-07T20:05:31.1033191Z [2023-07-07 19:59:33,735] torch.onnx: [WARNING] FX Node: call_function:[name=add]. 2023-07-07T20:05:31.1033521Z ONNX Node: aten_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1033732Z 2023-07-07T20:05:31.1034084Z [2023-07-07 19:59:33,735] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1034779Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1035193Z 2023-07-07T20:05:31.1035517Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1036354Z - self: 2023-07-07T20:05:31.1037124Z - node: fx.Node(add[call_function]'') 2023-07-07T20:05:31.1037637Z - aten_name: 2023-07-07T20:05:31.1038097Z - function_overloads: 2023-07-07T20:05:31.1038353Z - onnx_args: 2023-07-07T20:05:31.1038592Z - onnx_kwargs: 2023-07-07T20:05:31.1039023Z - diagnostic_context: 2023-07-07T20:05:31.1039631Z - Return value: `OnnxFunction(aten_add)` 2023-07-07T20:05:31.1040207Z [2023-07-07 19:59:33,741] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start[name=arange_2]. 2023-07-07T20:05:31.1040557Z ONNX Node: aten_arange_start[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1040781Z 2023-07-07T20:05:31.1040983Z [2023-07-07 19:59:33,741] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1041329Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1041603Z 2023-07-07T20:05:31.1041829Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1042664Z - self: 2023-07-07T20:05:31.1043438Z - node: fx.Node(arange_2[call_function]'aten.arange.start') 2023-07-07T20:05:31.1043958Z - aten_name: 2023-07-07T20:05:31.1044572Z - function_overloads: 2023-07-07T20:05:31.1044850Z - onnx_args: 2023-07-07T20:05:31.1045228Z - onnx_kwargs: 2023-07-07T20:05:31.1046034Z - diagnostic_context: 2023-07-07T20:05:31.1046506Z - Return value: 2023-07-07T20:05:31.1047038Z 2023-07-07 19:59:33.747197150 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1047845Z 2023-07-07 19:59:33.747227014 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1048517Z 2023-07-07 19:59:33.747514232 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1049818Z 2023-07-07 19:59:33.747526751 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1051174Z 2023-07-07 19:59:33.747779896 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1052525Z 2023-07-07 19:59:33.747791341 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1053873Z 2023-07-07 19:59:33.748049803 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1055204Z 2023-07-07 19:59:33.748062503 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1056548Z 2023-07-07 19:59:33.748312987 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1057860Z 2023-07-07 19:59:33.748324262 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1059190Z 2023-07-07 19:59:33.748592960 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1060527Z 2023-07-07 19:59:33.748606991 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1061851Z 2023-07-07 19:59:33.748855433 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1063175Z 2023-07-07 19:59:33.748866695 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1064581Z 2023-07-07 19:59:33.749115837 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1065922Z 2023-07-07 19:59:33.749127091 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1067336Z 2023-07-07 19:59:33.749374810 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1068818Z 2023-07-07 19:59:33.749385740 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1070139Z 2023-07-07 19:59:33.749631649 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1071472Z 2023-07-07 19:59:33.749642721 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1072797Z 2023-07-07 19:59:33.778748748 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1074143Z 2023-07-07 19:59:33.778787283 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1075538Z 2023-07-07 19:59:33.779060771 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1076930Z 2023-07-07 19:59:33.779072673 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1078268Z 2023-07-07 19:59:33.779321445 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1079591Z 2023-07-07 19:59:33.779332903 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1080929Z 2023-07-07 19:59:33.779592821 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1082239Z 2023-07-07 19:59:33.779604705 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1083573Z 2023-07-07 19:59:33.779851837 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1085135Z 2023-07-07 19:59:33.779862923 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1086488Z 2023-07-07 19:59:33.780108135 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1087853Z 2023-07-07 19:59:33.780119161 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1089201Z 2023-07-07 19:59:33.780363520 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1090518Z 2023-07-07 19:59:33.780374557 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1091873Z 2023-07-07 19:59:33.780639031 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1093313Z 2023-07-07 19:59:33.780653258 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1094725Z 2023-07-07 19:59:33.780900064 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1096107Z 2023-07-07 19:59:33.780911004 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1097447Z 2023-07-07 19:59:33.781158419 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:31.1098797Z 2023-07-07 19:59:33.781169494 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:31.1099516Z PASSED [0.1832s] [ 1%] 2023-07-07T20:05:31.1100931Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_expand_as_fill_seperate_tensor [2023-07-07 19:59:33,859] torch.onnx: [ERROR] Running Functionalize pass. Raised from: 2023-07-07T20:05:31.1102560Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:31.1103645Z [2023-07-07 19:59:33,859] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T20:05:31.1104355Z - self: 2023-07-07T20:05:31.1104911Z - args: 2023-07-07T20:05:31.1105341Z ### Exception log 2023-07-07T20:05:31.1105671Z ``` 2023-07-07T20:05:31.1106029Z Traceback (most recent call last): 2023-07-07T20:05:31.1106283Z 2023-07-07T20:05:31.1106879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1107425Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1107690Z 2023-07-07T20:05:31.1108207Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T20:05:31.1108763Z module = self._run(*args, **kwargs) 2023-07-07T20:05:31.1109013Z 2023-07-07T20:05:31.1109392Z File "<@beartype(torch.onnx._internal.fx.passes.functionalization.Functionalize._run) at 0x7f6710265670>", line 10, in _run 2023-07-07T20:05:31.1109905Z 2023-07-07T20:05:31.1110433Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 105, in _run 2023-07-07T20:05:31.1111060Z graph_module = proxy_tensor.make_fx( 2023-07-07T20:05:31.1111303Z 2023-07-07T20:05:31.1111854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T20:05:31.1112610Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T20:05:31.1113024Z 2023-07-07T20:05:31.1113505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T20:05:31.1114101Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T20:05:31.1114386Z 2023-07-07T20:05:31.1114939Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:31.1115436Z return fn(*args, **kwargs) 2023-07-07T20:05:31.1115646Z 2023-07-07T20:05:31.1116112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:31.1116653Z return fn(*args, **kwargs) 2023-07-07T20:05:31.1116864Z 2023-07-07T20:05:31.1117505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T20:05:31.1118134Z graph = tracer.trace(root, concrete_args) 2023-07-07T20:05:31.1118415Z 2023-07-07T20:05:31.1118927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:31.1119354Z return fn(*args, **kwargs) 2023-07-07T20:05:31.1119545Z 2023-07-07T20:05:31.1119831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:31.1120150Z return fn(*args, **kwargs) 2023-07-07T20:05:31.1120301Z 2023-07-07T20:05:31.1120648Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T20:05:31.1120948Z (self.create_arg(fn(*args)),), 2023-07-07T20:05:31.1121087Z 2023-07-07T20:05:31.1121547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T20:05:31.1122134Z out = f(*tensors) 2023-07-07T20:05:31.1122335Z 2023-07-07T20:05:31.1122518Z File "", line 1, in 2023-07-07T20:05:31.1122775Z 2023-07-07T20:05:31.1123364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 91, in wrapped 2023-07-07T20:05:31.1123997Z pytree.tree_map(torch._sync, out) 2023-07-07T20:05:31.1124264Z 2023-07-07T20:05:31.1125980Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T20:05:31.1126630Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:31.1126931Z 2023-07-07T20:05:31.1127477Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T20:05:31.1128241Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:31.1128546Z 2023-07-07T20:05:31.1129199Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:31.1129849Z 2023-07-07T20:05:31.1129972Z ``` 2023-07-07T20:05:31.1130305Z XFAIL [0.0770s] [ 2%] 2023-07-07T20:05:31.1131530Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_expand_as_fill_tensor [2023-07-07 19:59:34,335] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:31.1132484Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1132815Z 2023-07-07T20:05:31.1133213Z [2023-07-07 19:59:34,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1133919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1134338Z 2023-07-07T20:05:31.1134699Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1135646Z - self: 2023-07-07T20:05:31.1136444Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.1136961Z - aten_name: 2023-07-07T20:05:31.1137456Z - function_overloads: 2023-07-07T20:05:31.1137932Z - onnx_args: 2023-07-07T20:05:31.1138380Z - onnx_kwargs: 2023-07-07T20:05:31.1139214Z - diagnostic_context: 2023-07-07T20:05:31.1140136Z - Return value: 2023-07-07T20:05:31.1140991Z [2023-07-07 19:59:34,345] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.1141613Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1141943Z 2023-07-07T20:05:31.1142340Z [2023-07-07 19:59:34,345] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1143125Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1143575Z 2023-07-07T20:05:31.1143938Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1144912Z - self: 2023-07-07T20:05:31.1145756Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.1146274Z - aten_name: 2023-07-07T20:05:31.1146749Z - function_overloads: 2023-07-07T20:05:31.1147228Z - onnx_args: 2023-07-07T20:05:31.1147690Z - onnx_kwargs: 2023-07-07T20:05:31.1148509Z - diagnostic_context: 2023-07-07T20:05:31.1149311Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1150091Z [2023-07-07 19:59:34,347] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:31.1150725Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1151036Z 2023-07-07T20:05:31.1151426Z [2023-07-07 19:59:34,347] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1152077Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1152480Z 2023-07-07T20:05:31.1152833Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1153695Z - self: 2023-07-07T20:05:31.1154402Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.1154999Z - aten_name: 2023-07-07T20:05:31.1155460Z - function_overloads: 2023-07-07T20:05:31.1155895Z - onnx_args: 2023-07-07T20:05:31.1156347Z - onnx_kwargs: 2023-07-07T20:05:31.1156785Z - diagnostic_context: 2023-07-07T20:05:31.1157241Z - Return value: 2023-07-07T20:05:31.1157907Z [2023-07-07 19:59:34,407] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:31.1158488Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1158794Z 2023-07-07T20:05:31.1159153Z [2023-07-07 19:59:34,407] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1159760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1160148Z 2023-07-07T20:05:31.1160463Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1162922Z - self: 2023-07-07T20:05:31.1163612Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:31.1164059Z - aten_name: 2023-07-07T20:05:31.1164569Z - function_overloads: 2023-07-07T20:05:31.1165018Z - onnx_args: 2023-07-07T20:05:31.1165460Z - onnx_kwargs: 2023-07-07T20:05:31.1166189Z - diagnostic_context: 2023-07-07T20:05:31.1166925Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1167863Z [2023-07-07 19:59:34,417] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:31.1168605Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1168931Z 2023-07-07T20:05:31.1169326Z [2023-07-07 19:59:34,417] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1169822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1170057Z 2023-07-07T20:05:31.1170365Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1170857Z - self: 2023-07-07T20:05:31.1171417Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:31.1171680Z - aten_name: 2023-07-07T20:05:31.1172077Z - function_overloads: 2023-07-07T20:05:31.1172334Z - onnx_args: 2023-07-07T20:05:31.1172575Z - onnx_kwargs: 2023-07-07T20:05:31.1173070Z - diagnostic_context: 2023-07-07T20:05:31.1173521Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1173951Z [2023-07-07 19:59:34,418] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:31.1174313Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1174574Z 2023-07-07T20:05:31.1174847Z [2023-07-07 19:59:34,418] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1175437Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1175799Z 2023-07-07T20:05:31.1176094Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1176850Z - self: 2023-07-07T20:05:31.1178008Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:31.1178585Z - aten_name: 2023-07-07T20:05:31.1178981Z - function_overloads: 2023-07-07T20:05:31.1179363Z - onnx_args: 2023-07-07T20:05:31.1179807Z - onnx_kwargs: 2023-07-07T20:05:31.1180459Z - diagnostic_context: 2023-07-07T20:05:31.1181108Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1181719Z [2023-07-07 19:59:34,456] torch.onnx: [WARNING] FX Node: call_function:aten.copy.default[name=copy]. 2023-07-07T20:05:31.1182215Z ONNX Node: aten_copy[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1182743Z [2023-07-07 19:59:34,457] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.1183086Z ### Exception log 2023-07-07T20:05:31.1183350Z ``` 2023-07-07T20:05:31.1183621Z Traceback (most recent call last): 2023-07-07T20:05:31.1183823Z 2023-07-07T20:05:31.1184348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.1184877Z torch.testing.assert_close( 2023-07-07T20:05:31.1185088Z 2023-07-07T20:05:31.1185545Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.1186002Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.1186209Z 2023-07-07T20:05:31.1186591Z AssertionError: The values for attribute 'dtype' do not match: torch.int64 != torch.float32. 2023-07-07T20:05:31.1186892Z 2023-07-07T20:05:31.1186988Z ``` 2023-07-07T20:05:31.1187297Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1188010Z - diagnostic_context: 2023-07-07T20:05:31.1188697Z - node: fx.Node(copy[call_function]'aten.copy.default') 2023-07-07T20:05:31.1189172Z - symbolic_fn: `OnnxFunction(aten_copy)` 2023-07-07T20:05:31.1189555Z - torch_args: 2023-07-07T20:05:31.1189933Z - torch_kwargs: 2023-07-07T20:05:31.1190339Z - Return value: 2023-07-07T20:05:31.1190948Z [2023-07-07 19:59:34,458] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:31.1191469Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1191726Z 2023-07-07T20:05:31.1192091Z [2023-07-07 19:59:34,458] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1192634Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1193039Z 2023-07-07T20:05:31.1193323Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1194064Z - self: 2023-07-07T20:05:31.1194818Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.1195241Z - aten_name: 2023-07-07T20:05:31.1195642Z - function_overloads: 2023-07-07T20:05:31.1196046Z - onnx_args: 2023-07-07T20:05:31.1196413Z - onnx_kwargs: 2023-07-07T20:05:31.1197088Z - diagnostic_context: 2023-07-07T20:05:31.1197821Z - Return value: 2023-07-07T20:05:31.1198553Z [2023-07-07 19:59:34,538] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1199112Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1199391Z 2023-07-07T20:05:31.1199710Z [2023-07-07 19:59:34,538] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1200279Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1200638Z 2023-07-07T20:05:31.1200901Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1201648Z - self: 2023-07-07T20:05:31.1202377Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.1202835Z - aten_name: 2023-07-07T20:05:31.1203201Z - function_overloads: 2023-07-07T20:05:31.1203587Z - onnx_args: 2023-07-07T20:05:31.1203957Z - onnx_kwargs: 2023-07-07T20:05:31.1204742Z - diagnostic_context: 2023-07-07T20:05:31.1205476Z - Return value: 2023-07-07T20:05:31.1206520Z 2023-07-07 19:59:34.604508705 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1207474Z [2023-07-07 19:59:34,605] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1208027Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1209027Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1209896Z [2023-07-07 19:59:34,605] torch.onnx: [ERROR] ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1210656Z - diagnostic_context: 2023-07-07T20:05:31.1211354Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.1211975Z - symbolic_fn: 2023-07-07T20:05:31.1212463Z - torch_args: 2023-07-07T20:05:31.1212825Z - torch_kwargs: 2023-07-07T20:05:31.1213149Z ### Exception log 2023-07-07T20:05:31.1213412Z ``` 2023-07-07T20:05:31.1213688Z Traceback (most recent call last): 2023-07-07T20:05:31.1213892Z 2023-07-07T20:05:31.1214394Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1214896Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1215201Z 2023-07-07T20:05:31.1215729Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1216335Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1216574Z 2023-07-07T20:05:31.1216976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1217484Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1218408Z 2023-07-07T20:05:31.1220702Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.1222882Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.1223697Z 2023-07-07T20:05:31.1224931Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1225920Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1226584Z 2023-07-07T20:05:31.1227509Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1229762Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1231126Z 2023-07-07T20:05:31.1233806Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.1239422Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.1242519Z 2023-07-07T20:05:31.1244526Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.1245254Z return op( 2023-07-07T20:05:31.1245405Z 2023-07-07T20:05:31.1245822Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1246326Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1246571Z 2023-07-07T20:05:31.1246950Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1247472Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1247714Z 2023-07-07T20:05:31.1248137Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1249158Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1250262Z 2023-07-07T20:05:31.1253947Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.1258783Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.1260701Z 2023-07-07T20:05:31.1266905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.1269129Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.1270754Z 2023-07-07T20:05:31.1278054Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1279565Z 2023-07-07T20:05:31.1279667Z ``` 2023-07-07T20:05:31.1280310Z [2023-07-07 19:59:34,606] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.1282183Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1283545Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1284897Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1285803Z [2023-07-07 19:59:34,606] torch.onnx: [ERROR] ### PyTorch source information 2023-07-07T20:05:31.1286359Z ``` 2023-07-07T20:05:31.1286773Z File "onnx/test_fx_to_onnx_with_onnxruntime.py", line 539, in forward 2023-07-07T20:05:31.1287462Z x[:, x.size(0) :] = torch.tensor([1, 2, 3]) 2023-07-07T20:05:31.1288420Z 2023-07-07T20:05:31.1288589Z ``` 2023-07-07T20:05:31.1289360Z ### Function Signature FxOnnxInterpreter.run_node 2023-07-07T20:05:31.1291135Z - self: 2023-07-07T20:05:31.1291765Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.1292343Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.1293077Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.1293656Z - op_level_debug: 2023-07-07T20:05:31.1294258Z - onnxscript_graph: 2023-07-07T20:05:31.1295072Z - onnxscript_tracer: 2023-07-07T20:05:31.1295731Z - fx_name_to_onnxscript_value: 2023-07-07T20:05:31.1296042Z ### Exception log 2023-07-07T20:05:31.1296305Z ``` 2023-07-07T20:05:31.1296594Z Traceback (most recent call last): 2023-07-07T20:05:31.1296789Z 2023-07-07T20:05:31.1297282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1297812Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1298017Z 2023-07-07T20:05:31.1298583Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1299138Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1299358Z 2023-07-07T20:05:31.1299777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1300243Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1300440Z 2023-07-07T20:05:31.1300951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.1301542Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.1301797Z 2023-07-07T20:05:31.1302198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1302712Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1302964Z 2023-07-07T20:05:31.1303532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1304078Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1304334Z 2023-07-07T20:05:31.1304873Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.1305469Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.1305740Z 2023-07-07T20:05:31.1306242Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.1306718Z return op( 2023-07-07T20:05:31.1306866Z 2023-07-07T20:05:31.1307280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1307813Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1308055Z 2023-07-07T20:05:31.1308477Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1309024Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1309282Z 2023-07-07T20:05:31.1309722Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1310325Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1310578Z 2023-07-07T20:05:31.1311019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.1311559Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.1311807Z 2023-07-07T20:05:31.1312324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.1312912Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.1313169Z 2023-07-07T20:05:31.1314083Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1314770Z 2023-07-07T20:05:31.1314778Z 2023-07-07T20:05:31.1315013Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.1315274Z 2023-07-07T20:05:31.1315282Z 2023-07-07T20:05:31.1315437Z Traceback (most recent call last): 2023-07-07T20:05:31.1315649Z 2023-07-07T20:05:31.1316165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1316688Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1316904Z 2023-07-07T20:05:31.1317416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.1317891Z self.call_function( 2023-07-07T20:05:31.1318077Z 2023-07-07T20:05:31.1318468Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.1318893Z 2023-07-07T20:05:31.1319415Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.1319979Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.1320208Z 2023-07-07T20:05:31.1320606Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.1321007Z 2023-07-07T20:05:31.1321519Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.1322046Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.1322259Z 2023-07-07T20:05:31.1322800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.1323347Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.1323595Z 2023-07-07T20:05:31.1324099Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1341348Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1342398Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1342925Z 2023-07-07T20:05:31.1343008Z ``` 2023-07-07T20:05:31.1343509Z [2023-07-07 19:59:34,606] torch.onnx: [ERROR] FxOnnxInterpreter.run. Raised from: 2023-07-07T20:05:31.1344124Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.1344871Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1345453Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1346501Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1347479Z [2023-07-07 19:59:34,606] torch.onnx: [ERROR] ### Function Signature FxOnnxInterpreter.run 2023-07-07T20:05:31.1348134Z - self: 2023-07-07T20:05:31.1348721Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.1349445Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.1350041Z - op_level_debug: 2023-07-07T20:05:31.1350350Z ### Exception log 2023-07-07T20:05:31.1350615Z ``` 2023-07-07T20:05:31.1350909Z Traceback (most recent call last): 2023-07-07T20:05:31.1351107Z 2023-07-07T20:05:31.1351611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1352114Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1352320Z 2023-07-07T20:05:31.1352848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1353402Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1353640Z 2023-07-07T20:05:31.1354059Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1354553Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1354819Z 2023-07-07T20:05:31.1355320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.1355901Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.1356152Z 2023-07-07T20:05:31.1356569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1357122Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1357409Z 2023-07-07T20:05:31.1357853Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1358405Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1358647Z 2023-07-07T20:05:31.1359192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.1359783Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.1360050Z 2023-07-07T20:05:31.1360551Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.1361024Z return op( 2023-07-07T20:05:31.1361206Z 2023-07-07T20:05:31.1361633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1362163Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1362403Z 2023-07-07T20:05:31.1362830Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1363343Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1363596Z 2023-07-07T20:05:31.1364037Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1364691Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1364933Z 2023-07-07T20:05:31.1365361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.1365928Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.1366178Z 2023-07-07T20:05:31.1366686Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.1367310Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.1367609Z 2023-07-07T20:05:31.1368511Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1369153Z 2023-07-07T20:05:31.1369161Z 2023-07-07T20:05:31.1369401Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.1369665Z 2023-07-07T20:05:31.1369672Z 2023-07-07T20:05:31.1369833Z Traceback (most recent call last): 2023-07-07T20:05:31.1370039Z 2023-07-07T20:05:31.1370561Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1371074Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1371287Z 2023-07-07T20:05:31.1371783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.1372252Z self.call_function( 2023-07-07T20:05:31.1372444Z 2023-07-07T20:05:31.1372831Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.1373244Z 2023-07-07T20:05:31.1373774Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.1374331Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.1374559Z 2023-07-07T20:05:31.1374942Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.1375332Z 2023-07-07T20:05:31.1375843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.1376364Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.1376590Z 2023-07-07T20:05:31.1377123Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.1377675Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.1377911Z 2023-07-07T20:05:31.1378425Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1379197Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1380258Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1380759Z 2023-07-07T20:05:31.1380781Z 2023-07-07T20:05:31.1381002Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.1381273Z 2023-07-07T20:05:31.1381281Z 2023-07-07T20:05:31.1381427Z Traceback (most recent call last): 2023-07-07T20:05:31.1381631Z 2023-07-07T20:05:31.1382142Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1382666Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1382876Z 2023-07-07T20:05:31.1383344Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 456, in run 2023-07-07T20:05:31.1383834Z self.run_node( 2023-07-07T20:05:31.1384017Z 2023-07-07T20:05:31.1384411Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.run_node) at 0x7f670b6e3dc0>", line 126, in run_node 2023-07-07T20:05:31.1384800Z 2023-07-07T20:05:31.1385306Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.1385851Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.1386104Z 2023-07-07T20:05:31.1386695Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.1387264Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.1387415Z 2023-07-07T20:05:31.1387748Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.1388278Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1388658Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1389306Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1389640Z 2023-07-07T20:05:31.1389704Z ``` 2023-07-07T20:05:31.1389856Z XFAIL [1.1986s] [ 3%] 2023-07-07T20:05:31.1390480Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_expand_as_fill_zero [2023-07-07 19:59:35,372] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:31.1390966Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1391166Z 2023-07-07T20:05:31.1391372Z [2023-07-07 19:59:35,372] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1391724Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1391952Z 2023-07-07T20:05:31.1392137Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1392623Z - self: 2023-07-07T20:05:31.1393022Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.1393297Z - aten_name: 2023-07-07T20:05:31.1393548Z - function_overloads: 2023-07-07T20:05:31.1393793Z - onnx_args: 2023-07-07T20:05:31.1394018Z - onnx_kwargs: 2023-07-07T20:05:31.1394445Z - diagnostic_context: 2023-07-07T20:05:31.1394991Z - Return value: 2023-07-07T20:05:31.1395408Z [2023-07-07 19:59:35,381] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.1395732Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1395903Z 2023-07-07T20:05:31.1396103Z [2023-07-07 19:59:35,381] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1396470Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1396682Z 2023-07-07T20:05:31.1396872Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1397348Z - self: 2023-07-07T20:05:31.1397744Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.1397994Z - aten_name: 2023-07-07T20:05:31.1398242Z - function_overloads: 2023-07-07T20:05:31.1398487Z - onnx_args: 2023-07-07T20:05:31.1398708Z - onnx_kwargs: 2023-07-07T20:05:31.1399168Z - diagnostic_context: 2023-07-07T20:05:31.1399581Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1399976Z [2023-07-07 19:59:35,383] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:31.1400329Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1400496Z 2023-07-07T20:05:31.1400693Z [2023-07-07 19:59:35,383] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1401167Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1401511Z 2023-07-07T20:05:31.1401721Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1402197Z - self: 2023-07-07T20:05:31.1402611Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.1402885Z - aten_name: 2023-07-07T20:05:31.1403123Z - function_overloads: 2023-07-07T20:05:31.1403373Z - onnx_args: 2023-07-07T20:05:31.1403613Z - onnx_kwargs: 2023-07-07T20:05:31.1404028Z - diagnostic_context: 2023-07-07T20:05:31.1404642Z - Return value: 2023-07-07T20:05:31.1405135Z [2023-07-07 19:59:35,400] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:31.1405540Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1405740Z 2023-07-07T20:05:31.1405976Z [2023-07-07 19:59:35,400] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1406632Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1406949Z 2023-07-07T20:05:31.1407144Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1407745Z - self: 2023-07-07T20:05:31.1408219Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.1408658Z - aten_name: 2023-07-07T20:05:31.1408960Z - function_overloads: 2023-07-07T20:05:31.1409289Z - onnx_args: 2023-07-07T20:05:31.1409583Z - onnx_kwargs: 2023-07-07T20:05:31.1410123Z - diagnostic_context: 2023-07-07T20:05:31.1410681Z - Return value: 2023-07-07T20:05:31.1411269Z [2023-07-07 19:59:35,409] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1411727Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1411907Z 2023-07-07T20:05:31.1412112Z [2023-07-07 19:59:35,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1412505Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1412740Z 2023-07-07T20:05:31.1412933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1413471Z - self: 2023-07-07T20:05:31.1413961Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.1414246Z - aten_name: 2023-07-07T20:05:31.1414505Z - function_overloads: 2023-07-07T20:05:31.1414811Z - onnx_args: 2023-07-07T20:05:31.1415039Z - onnx_kwargs: 2023-07-07T20:05:31.1415518Z - diagnostic_context: 2023-07-07T20:05:31.1416004Z - Return value: 2023-07-07T20:05:31.1416839Z 2023-07-07 19:59:35.419180529 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1417521Z [2023-07-07 19:59:35,419] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1417994Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1418693Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1419325Z [2023-07-07 19:59:35,419] torch.onnx: [ERROR] ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1419829Z - diagnostic_context: 2023-07-07T20:05:31.1420354Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.1420808Z - symbolic_fn: 2023-07-07T20:05:31.1421326Z - torch_args: 2023-07-07T20:05:31.1421758Z - torch_kwargs: 2023-07-07T20:05:31.1422077Z ### Exception log 2023-07-07T20:05:31.1422255Z ``` 2023-07-07T20:05:31.1422430Z Traceback (most recent call last): 2023-07-07T20:05:31.1422568Z 2023-07-07T20:05:31.1422947Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1423286Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1423419Z 2023-07-07T20:05:31.1423862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1424233Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1424425Z 2023-07-07T20:05:31.1424699Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1425009Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1425184Z 2023-07-07T20:05:31.1425511Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.1425930Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.1426108Z 2023-07-07T20:05:31.1426373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1426784Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1426956Z 2023-07-07T20:05:31.1427238Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1427629Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1427800Z 2023-07-07T20:05:31.1428189Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.1428577Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.1428744Z 2023-07-07T20:05:31.1429106Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.1429397Z return op( 2023-07-07T20:05:31.1429511Z 2023-07-07T20:05:31.1429821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1430150Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1430311Z 2023-07-07T20:05:31.1430630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1430986Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1431197Z 2023-07-07T20:05:31.1431472Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1431955Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1432158Z 2023-07-07T20:05:31.1432465Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.1432936Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.1433123Z 2023-07-07T20:05:31.1433533Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.1433977Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.1434174Z 2023-07-07T20:05:31.1434934Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1435521Z 2023-07-07T20:05:31.1435614Z ``` 2023-07-07T20:05:31.1436260Z [2023-07-07 19:59:35,420] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.1436977Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1437648Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1438715Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1439739Z [2023-07-07 19:59:35,420] torch.onnx: [ERROR] ### PyTorch source information 2023-07-07T20:05:31.1440139Z ``` 2023-07-07T20:05:31.1440525Z File "onnx/test_fx_to_onnx_with_onnxruntime.py", line 522, in forward 2023-07-07T20:05:31.1440986Z x[:, x.size(0) :] = 0 2023-07-07T20:05:31.1441203Z 2023-07-07T20:05:31.1441323Z ``` 2023-07-07T20:05:31.1441712Z ### Function Signature FxOnnxInterpreter.run_node 2023-07-07T20:05:31.1442366Z - self: 2023-07-07T20:05:31.1443050Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.1443599Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.1444310Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.1445086Z - op_level_debug: 2023-07-07T20:05:31.1445706Z - onnxscript_graph: 2023-07-07T20:05:31.1446560Z - onnxscript_tracer: 2023-07-07T20:05:31.1447137Z - fx_name_to_onnxscript_value: 2023-07-07T20:05:31.1447471Z ### Exception log 2023-07-07T20:05:31.1447745Z ``` 2023-07-07T20:05:31.1448019Z Traceback (most recent call last): 2023-07-07T20:05:31.1448244Z 2023-07-07T20:05:31.1448773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1449301Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1449510Z 2023-07-07T20:05:31.1450054Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1450621Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1450867Z 2023-07-07T20:05:31.1451280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1451726Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1451926Z 2023-07-07T20:05:31.1452543Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.1453109Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.1453432Z 2023-07-07T20:05:31.1453862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1454426Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1454691Z 2023-07-07T20:05:31.1455137Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1455654Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1455918Z 2023-07-07T20:05:31.1456454Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.1457035Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.1457299Z 2023-07-07T20:05:31.1457811Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.1458277Z return op( 2023-07-07T20:05:31.1458448Z 2023-07-07T20:05:31.1458866Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1459389Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1459639Z 2023-07-07T20:05:31.1460055Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1460561Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1460815Z 2023-07-07T20:05:31.1461285Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1461818Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1462070Z 2023-07-07T20:05:31.1462513Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.1462998Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.1463250Z 2023-07-07T20:05:31.1463755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.1464341Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.1464613Z 2023-07-07T20:05:31.1465531Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1466223Z 2023-07-07T20:05:31.1466231Z 2023-07-07T20:05:31.1466447Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.1466719Z 2023-07-07T20:05:31.1466727Z 2023-07-07T20:05:31.1466888Z Traceback (most recent call last): 2023-07-07T20:05:31.1467097Z 2023-07-07T20:05:31.1467603Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1468101Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1468299Z 2023-07-07T20:05:31.1468759Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.1469233Z self.call_function( 2023-07-07T20:05:31.1469416Z 2023-07-07T20:05:31.1469781Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.1470182Z 2023-07-07T20:05:31.1470676Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.1471341Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.1471566Z 2023-07-07T20:05:31.1471938Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.1472378Z 2023-07-07T20:05:31.1472885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.1473460Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.1473669Z 2023-07-07T20:05:31.1474206Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.1474831Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.1475076Z 2023-07-07T20:05:31.1475576Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1476337Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1477363Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1477883Z 2023-07-07T20:05:31.1477962Z ``` 2023-07-07T20:05:31.1478467Z [2023-07-07 19:59:35,420] torch.onnx: [ERROR] FxOnnxInterpreter.run. Raised from: 2023-07-07T20:05:31.1479079Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.1479764Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1480399Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1481458Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1482369Z [2023-07-07 19:59:35,420] torch.onnx: [ERROR] ### Function Signature FxOnnxInterpreter.run 2023-07-07T20:05:31.1483046Z - self: 2023-07-07T20:05:31.1483625Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.1484369Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.1485071Z - op_level_debug: 2023-07-07T20:05:31.1485381Z ### Exception log 2023-07-07T20:05:31.1485648Z ``` 2023-07-07T20:05:31.1485947Z Traceback (most recent call last): 2023-07-07T20:05:31.1501876Z 2023-07-07T20:05:31.1502527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1503054Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1503262Z 2023-07-07T20:05:31.1503797Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1504372Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1504628Z 2023-07-07T20:05:31.1505016Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1505493Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1505704Z 2023-07-07T20:05:31.1506229Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.1506794Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.1507061Z 2023-07-07T20:05:31.1507464Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1508105Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1508365Z 2023-07-07T20:05:31.1508800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1509394Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1509650Z 2023-07-07T20:05:31.1510172Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.1510795Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.1511046Z 2023-07-07T20:05:31.1511520Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.1511968Z return op( 2023-07-07T20:05:31.1512134Z 2023-07-07T20:05:31.1512524Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1513030Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1513268Z 2023-07-07T20:05:31.1513664Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1514173Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1514396Z 2023-07-07T20:05:31.1514871Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1515370Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1515603Z 2023-07-07T20:05:31.1516008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.1516490Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.1516750Z 2023-07-07T20:05:31.1517237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.1517795Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.1518047Z 2023-07-07T20:05:31.1518897Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1519496Z 2023-07-07T20:05:31.1519502Z 2023-07-07T20:05:31.1519725Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.1519993Z 2023-07-07T20:05:31.1520000Z 2023-07-07T20:05:31.1520130Z Traceback (most recent call last): 2023-07-07T20:05:31.1520341Z 2023-07-07T20:05:31.1520829Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1521318Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1521517Z 2023-07-07T20:05:31.1521986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.1522424Z self.call_function( 2023-07-07T20:05:31.1522608Z 2023-07-07T20:05:31.1522972Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.1523366Z 2023-07-07T20:05:31.1523849Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.1524379Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.1524721Z 2023-07-07T20:05:31.1525273Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.1525645Z 2023-07-07T20:05:31.1526139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.1526684Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.1526892Z 2023-07-07T20:05:31.1527401Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.1527988Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.1528204Z 2023-07-07T20:05:31.1528672Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1529455Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1530457Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1530953Z 2023-07-07T20:05:31.1530960Z 2023-07-07T20:05:31.1531177Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.1531451Z 2023-07-07T20:05:31.1531458Z 2023-07-07T20:05:31.1531585Z Traceback (most recent call last): 2023-07-07T20:05:31.1531790Z 2023-07-07T20:05:31.1532280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.1532769Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.1532973Z 2023-07-07T20:05:31.1533424Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 456, in run 2023-07-07T20:05:31.1533854Z self.run_node( 2023-07-07T20:05:31.1534027Z 2023-07-07T20:05:31.1534419Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.run_node) at 0x7f670b6e3dc0>", line 126, in run_node 2023-07-07T20:05:31.1534803Z 2023-07-07T20:05:31.1535290Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.1535786Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.1535992Z 2023-07-07T20:05:31.1536482Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.1537003Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.1537229Z 2023-07-07T20:05:31.1537733Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.1538582Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.1539166Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.1540205Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.1540726Z 2023-07-07T20:05:31.1540826Z ``` 2023-07-07T20:05:31.1541083Z XFAIL [0.5852s] [ 4%] 2023-07-07T20:05:31.1542050Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_flatten_dynamic_axes [2023-07-07 19:59:35,888] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.1542805Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1543068Z 2023-07-07T20:05:31.1543391Z [2023-07-07 19:59:35,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1543969Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1544332Z 2023-07-07T20:05:31.1544606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1545361Z - self: 2023-07-07T20:05:31.1546033Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.1546456Z - aten_name: 2023-07-07T20:05:31.1546833Z - function_overloads: 2023-07-07T20:05:31.1547260Z - onnx_args: 2023-07-07T20:05:31.1547642Z - onnx_kwargs: 2023-07-07T20:05:31.1548311Z - diagnostic_context: 2023-07-07T20:05:31.1548989Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1549603Z [2023-07-07 19:59:35,890] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:31.1550083Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1550345Z 2023-07-07T20:05:31.1550662Z [2023-07-07 19:59:35,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1551218Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1551578Z 2023-07-07T20:05:31.1551877Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1552625Z - self: 2023-07-07T20:05:31.1553252Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:31.1553669Z - aten_name: 2023-07-07T20:05:31.1554066Z - function_overloads: 2023-07-07T20:05:31.1554444Z - onnx_args: 2023-07-07T20:05:31.1554884Z - onnx_kwargs: 2023-07-07T20:05:31.1555545Z - diagnostic_context: 2023-07-07T20:05:31.1556212Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1664397Z [2023-07-07 19:59:35,892] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:31.1664772Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1664959Z 2023-07-07T20:05:31.1665276Z [2023-07-07 19:59:35,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1665884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1666259Z 2023-07-07T20:05:31.1666574Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1667364Z - self: 2023-07-07T20:05:31.1668030Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:31.1668455Z - aten_name: 2023-07-07T20:05:31.1668863Z - function_overloads: 2023-07-07T20:05:31.1669279Z - onnx_args: 2023-07-07T20:05:31.1669667Z - onnx_kwargs: 2023-07-07T20:05:31.1670388Z - diagnostic_context: 2023-07-07T20:05:31.1671058Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1671694Z [2023-07-07 19:59:35,893] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:31.1672231Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1672502Z 2023-07-07T20:05:31.1672826Z [2023-07-07 19:59:35,893] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1673414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1673789Z 2023-07-07T20:05:31.1674086Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1674963Z - self: 2023-07-07T20:05:31.1675616Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:31.1676051Z - aten_name: 2023-07-07T20:05:31.1676442Z - function_overloads: 2023-07-07T20:05:31.1677072Z - onnx_args: 2023-07-07T20:05:31.1677475Z - onnx_kwargs: 2023-07-07T20:05:31.1678158Z - diagnostic_context: 2023-07-07T20:05:31.1678906Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1679273Z PASSED [0.2749s] [ 5%] 2023-07-07T20:05:31.1679982Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_func_with_args_and_tensor_kwargs XFAIL [0.0546s] [ 6%] 2023-07-07T20:05:31.1681306Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_func_with_nested_input_structure [2023-07-07 19:59:36,365] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_1]. 2023-07-07T20:05:31.1682138Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1682429Z 2023-07-07T20:05:31.1682764Z [2023-07-07 19:59:36,365] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1683344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1683699Z 2023-07-07T20:05:31.1684001Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1684968Z - self: 2023-07-07T20:05:31.1685625Z - node: fx.Node(sum_1[call_function]'aten.sum.default') 2023-07-07T20:05:31.1686045Z - aten_name: 2023-07-07T20:05:31.1686467Z - function_overloads: 2023-07-07T20:05:31.1686850Z - onnx_args: 2023-07-07T20:05:31.1687326Z - onnx_kwargs: 2023-07-07T20:05:31.1688037Z - diagnostic_context: 2023-07-07T20:05:31.1688791Z - Return value: 2023-07-07T20:05:31.1689525Z [2023-07-07 19:59:36,379] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_2]. 2023-07-07T20:05:31.1690063Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1690369Z 2023-07-07T20:05:31.1690714Z [2023-07-07 19:59:36,379] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1691312Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1691677Z 2023-07-07T20:05:31.1691986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1692742Z - self: 2023-07-07T20:05:31.1693407Z - node: fx.Node(sum_2[call_function]'aten.sum.default') 2023-07-07T20:05:31.1693856Z - aten_name: 2023-07-07T20:05:31.1694267Z - function_overloads: 2023-07-07T20:05:31.1694696Z - onnx_args: 2023-07-07T20:05:31.1695080Z - onnx_kwargs: 2023-07-07T20:05:31.1695796Z - diagnostic_context: 2023-07-07T20:05:31.1696544Z - Return value: 2023-07-07T20:05:31.1696978Z PASSED [0.4579s] [ 7%] 2023-07-07T20:05:31.1697619Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_func_with_nested_output_structure PASSED [0.1551s] [ 8%] 2023-07-07T20:05:31.1699547Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_gpt2_tiny SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/103743 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 9%] 2023-07-07T20:05:31.1701136Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_large_scale_exporter_with_tiny_gpt2 SKIPPED [0.0009s] (Skip verify dynamic shapes test for FX. FakeTensor exporting is not supported by dynamic axes.) [ 10%] 2023-07-07T20:05:31.1702443Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_large_scale_exporter_with_toy_mlp SKIPPED [0.0008s] (Skip verify dynamic shapes test for FX. FakeTensor exporting is not supported by dynamic axes.) [ 11%] 2023-07-07T20:05:31.1703974Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_log_sigmoid [2023-07-07 19:59:36,782] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T20:05:31.1704753Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1705268Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1705562Z 2023-07-07T20:05:31.1705906Z [2023-07-07 19:59:36,782] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1706484Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1706852Z 2023-07-07T20:05:31.1707153Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1707956Z - self: 2023-07-07T20:05:31.1708644Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T20:05:31.1709098Z - aten_name: 2023-07-07T20:05:31.1709576Z - function_overloads: 2023-07-07T20:05:31.1709987Z - onnx_args: 2023-07-07T20:05:31.1710356Z - onnx_kwargs: 2023-07-07T20:05:31.1711050Z - diagnostic_context: 2023-07-07T20:05:31.1711728Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T20:05:31.1712376Z [2023-07-07 19:59:36,808] torch.onnx: [WARNING] FX Node: call_function:aten.log1p.default[name=log1p]. 2023-07-07T20:05:31.1712923Z ONNX Node: aten_log1p[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1713504Z [2023-07-07 19:59:36,808] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.1713879Z ### Exception log 2023-07-07T20:05:31.1714138Z ``` 2023-07-07T20:05:31.1714456Z Traceback (most recent call last): 2023-07-07T20:05:31.1714754Z 2023-07-07T20:05:31.1715334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.1715886Z torch.testing.assert_close( 2023-07-07T20:05:31.1716104Z 2023-07-07T20:05:31.1716591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.1717099Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.1717312Z 2023-07-07T20:05:31.1717581Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.1717828Z 2023-07-07T20:05:31.1717983Z Mismatched elements: 1 / 2 (50.0%) 2023-07-07T20:05:31.1718423Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.1718925Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.1719212Z 2023-07-07T20:05:31.1719307Z ``` 2023-07-07T20:05:31.1720955Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1721774Z - diagnostic_context: 2023-07-07T20:05:31.1722520Z - node: fx.Node(log1p[call_function]'aten.log1p.default') 2023-07-07T20:05:31.1723008Z - symbolic_fn: `OnnxFunction(aten_log1p)` 2023-07-07T20:05:31.1723446Z - torch_args: 2023-07-07T20:05:31.1723854Z - torch_kwargs: 2023-07-07T20:05:31.1724349Z - Return value: 2023-07-07T20:05:31.1724799Z PASSED [0.2432s] [ 12%] 2023-07-07T20:05:31.1725778Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_matmul [2023-07-07 19:59:37,155] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.1726657Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1726973Z 2023-07-07T20:05:31.1727317Z [2023-07-07 19:59:37,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1727908Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1728284Z 2023-07-07T20:05:31.1728596Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1729386Z - self: 2023-07-07T20:05:31.1730021Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.1730457Z - aten_name: 2023-07-07T20:05:31.1730879Z - function_overloads: 2023-07-07T20:05:31.1731266Z - onnx_args: 2023-07-07T20:05:31.1731657Z - onnx_kwargs: 2023-07-07T20:05:31.1732366Z - diagnostic_context: 2023-07-07T20:05:31.1733030Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1733674Z [2023-07-07 19:59:37,157] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:31.1734214Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1734497Z 2023-07-07T20:05:31.1734907Z [2023-07-07 19:59:37,157] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1735493Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1735866Z 2023-07-07T20:05:31.1736178Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1736971Z - self: 2023-07-07T20:05:31.1737658Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:31.1738087Z - aten_name: 2023-07-07T20:05:31.1738506Z - function_overloads: 2023-07-07T20:05:31.1738909Z - onnx_args: 2023-07-07T20:05:31.1739297Z - onnx_kwargs: 2023-07-07T20:05:31.1739996Z - diagnostic_context: 2023-07-07T20:05:31.1740699Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1741336Z [2023-07-07 19:59:37,158] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:31.1741858Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1742129Z 2023-07-07T20:05:31.1742464Z [2023-07-07 19:59:37,158] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1743053Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1743425Z 2023-07-07T20:05:31.1743709Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1744483Z - self: 2023-07-07T20:05:31.1745145Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:31.1745582Z - aten_name: 2023-07-07T20:05:31.1745980Z - function_overloads: 2023-07-07T20:05:31.1746382Z - onnx_args: 2023-07-07T20:05:31.1746783Z - onnx_kwargs: 2023-07-07T20:05:31.1747457Z - diagnostic_context: 2023-07-07T20:05:31.1748197Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1748857Z [2023-07-07 19:59:37,167] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:31.1749428Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1749733Z 2023-07-07T20:05:31.1750057Z [2023-07-07 19:59:37,167] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1750710Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1751028Z 2023-07-07T20:05:31.1751283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1751998Z - self: 2023-07-07T20:05:31.1752610Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:31.1753027Z - aten_name: 2023-07-07T20:05:31.1753405Z - function_overloads: 2023-07-07T20:05:31.1753767Z - onnx_args: 2023-07-07T20:05:31.1754159Z - onnx_kwargs: 2023-07-07T20:05:31.1754859Z - diagnostic_context: 2023-07-07T20:05:31.1755452Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1756043Z [2023-07-07 19:59:37,169] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_4]. 2023-07-07T20:05:31.1756543Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1756792Z 2023-07-07T20:05:31.1757086Z [2023-07-07 19:59:37,169] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1757694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1758031Z 2023-07-07T20:05:31.1758302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1758992Z - self: 2023-07-07T20:05:31.1759586Z - node: fx.Node(sym_size_4[call_function]'aten.sym_size') 2023-07-07T20:05:31.1759967Z - aten_name: 2023-07-07T20:05:31.1760355Z - function_overloads: 2023-07-07T20:05:31.1760724Z - onnx_args: 2023-07-07T20:05:31.1761091Z - onnx_kwargs: 2023-07-07T20:05:31.1761800Z - diagnostic_context: 2023-07-07T20:05:31.1762421Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1762769Z PASSED [0.3874s] [ 12%] 2023-07-07T20:05:31.1763698Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_mnist [2023-07-07 19:59:39,423] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.1764703Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1765014Z 2023-07-07T20:05:31.1765352Z [2023-07-07 19:59:39,423] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1765848Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1766088Z 2023-07-07T20:05:31.1766381Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1766935Z - self: 2023-07-07T20:05:31.1767503Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.1767829Z - aten_name: 2023-07-07T20:05:31.1768170Z - function_overloads: 2023-07-07T20:05:31.1768455Z - onnx_args: 2023-07-07T20:05:31.1768772Z - onnx_kwargs: 2023-07-07T20:05:31.1769292Z - diagnostic_context: 2023-07-07T20:05:31.1769991Z - Return value: 2023-07-07T20:05:31.1771036Z 2023-07-07 19:59:39.429242484 [W:onnxruntime:, model.cc:183 Model] ONNX Runtime only *guarantees* support for models stamped with opset version 7 or above for opset domain 'ai.onnx'. Please upgrade your model to opset 7 or higher. For now, this opset 1 model may run depending upon legacy support of some older opset version operators. 2023-07-07T20:05:31.1772037Z 2023-07-07 19:59:39.429427758 [W:onnxruntime:, ort_transpose_optimizer.cc:24 ApplyImpl] Transpose optimizer failed: Unsupported ONNX opset: 1 2023-07-07T20:05:31.1772613Z [2023-07-07 19:59:39,431] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.1773094Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1773524Z [2023-07-07 19:59:39,431] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.1773856Z ### Exception log 2023-07-07T20:05:31.1774028Z ``` 2023-07-07T20:05:31.1774258Z Traceback (most recent call last): 2023-07-07T20:05:31.1774447Z 2023-07-07T20:05:31.1774831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1775291Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1775487Z 2023-07-07T20:05:31.1775804Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1776207Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1776342Z 2023-07-07T20:05:31.1776702Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.1777157Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.1777338Z 2023-07-07T20:05:31.1777691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1778071Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1778242Z 2023-07-07T20:05:31.1778608Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1778980Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1779165Z 2023-07-07T20:05:31.1779577Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.1779941Z result = op.Conv( 2023-07-07T20:05:31.1780122Z 2023-07-07T20:05:31.1780438Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.1780830Z return op( 2023-07-07T20:05:31.1781006Z 2023-07-07T20:05:31.1781282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1781752Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1781940Z 2023-07-07T20:05:31.1782231Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1787716Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1787971Z 2023-07-07T20:05:31.1788364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1788734Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1788917Z 2023-07-07T20:05:31.1789272Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.1789700Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.1790010Z 2023-07-07T20:05:31.1790288Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.1790587Z node.attribute.extend( 2023-07-07T20:05:31.1790868Z 2023-07-07T20:05:31.1791166Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.1791525Z make_attribute(key, value) 2023-07-07T20:05:31.1791724Z 2023-07-07T20:05:31.1792017Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.1792406Z raise ValueError( 2023-07-07T20:05:31.1792580Z 2023-07-07T20:05:31.1792759Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.1793002Z 2023-07-07T20:05:31.1793066Z ``` 2023-07-07T20:05:31.1793345Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1793836Z - diagnostic_context: 2023-07-07T20:05:31.1794438Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.1795014Z - symbolic_fn: 2023-07-07T20:05:31.1795365Z - torch_args: 2023-07-07T20:05:31.1795630Z - torch_kwargs: 2023-07-07T20:05:31.1795947Z - Return value: 2023-07-07T20:05:31.1796417Z [2023-07-07 19:59:39,515] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.1796894Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1797076Z 2023-07-07T20:05:31.1797320Z [2023-07-07 19:59:39,515] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1797817Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1798052Z 2023-07-07T20:05:31.1798279Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1798782Z - self: 2023-07-07T20:05:31.1799336Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.1799675Z - aten_name: 2023-07-07T20:05:31.1799993Z - function_overloads: 2023-07-07T20:05:31.1800404Z - onnx_args: 2023-07-07T20:05:31.1800820Z - onnx_kwargs: 2023-07-07T20:05:31.1801544Z - diagnostic_context: 2023-07-07T20:05:31.1802349Z - Return value: 2023-07-07T20:05:31.1803156Z [2023-07-07 19:59:39,541] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.1803777Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1805282Z [2023-07-07 19:59:39,542] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.1805699Z ### Exception log 2023-07-07T20:05:31.1805985Z ``` 2023-07-07T20:05:31.1806310Z Traceback (most recent call last): 2023-07-07T20:05:31.1806531Z 2023-07-07T20:05:31.1807138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1807923Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1808187Z 2023-07-07T20:05:31.1808655Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1809145Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1809372Z 2023-07-07T20:05:31.1809938Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.1810499Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.1810731Z 2023-07-07T20:05:31.1811194Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1811812Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1812106Z 2023-07-07T20:05:31.1812582Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1813230Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1813517Z 2023-07-07T20:05:31.1814105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.1814687Z result = op.Conv( 2023-07-07T20:05:31.1814887Z 2023-07-07T20:05:31.1815387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.1815872Z return op( 2023-07-07T20:05:31.1816055Z 2023-07-07T20:05:31.1816548Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1817088Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1817371Z 2023-07-07T20:05:31.1817825Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1818419Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1818702Z 2023-07-07T20:05:31.1819159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1819708Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1819971Z 2023-07-07T20:05:31.1820443Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.1821094Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.1821439Z 2023-07-07T20:05:31.1821879Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.1822347Z node.attribute.extend( 2023-07-07T20:05:31.1822564Z 2023-07-07T20:05:31.1823016Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.1823499Z make_attribute(key, value) 2023-07-07T20:05:31.1823719Z 2023-07-07T20:05:31.1824161Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.1824631Z raise ValueError( 2023-07-07T20:05:31.1824837Z 2023-07-07T20:05:31.1825136Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.1825485Z 2023-07-07T20:05:31.1825590Z ``` 2023-07-07T20:05:31.1825936Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1826729Z - diagnostic_context: 2023-07-07T20:05:31.1827539Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.1828201Z - symbolic_fn: 2023-07-07T20:05:31.1828723Z - torch_args: 2023-07-07T20:05:31.1829137Z - torch_kwargs: 2023-07-07T20:05:31.1829548Z - Return value: 2023-07-07T20:05:31.1830373Z [2023-07-07 19:59:39,673] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.1831023Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1831345Z 2023-07-07T20:05:31.1831691Z [2023-07-07 19:59:39,673] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1832290Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1832677Z 2023-07-07T20:05:31.1832995Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1833819Z - self: 2023-07-07T20:05:31.1834789Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.1835316Z - aten_name: 2023-07-07T20:05:31.1835784Z - function_overloads: 2023-07-07T20:05:31.1836205Z - onnx_args: 2023-07-07T20:05:31.1836600Z - onnx_kwargs: 2023-07-07T20:05:31.1837338Z - diagnostic_context: 2023-07-07T20:05:31.1838193Z - Return value: 2023-07-07T20:05:31.1838921Z [2023-07-07 19:59:39,830] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.1839473Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1839759Z 2023-07-07T20:05:31.1840102Z [2023-07-07 19:59:39,830] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1840713Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1841101Z 2023-07-07T20:05:31.1841403Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1842238Z - self: 2023-07-07T20:05:31.1842928Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.1843387Z - aten_name: 2023-07-07T20:05:31.1843803Z - function_overloads: 2023-07-07T20:05:31.1844229Z - onnx_args: 2023-07-07T20:05:31.1845330Z - onnx_kwargs: 2023-07-07T20:05:31.1846047Z - diagnostic_context: 2023-07-07T20:05:31.1846765Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1847428Z [2023-07-07 19:59:39,832] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:31.1847959Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1848237Z 2023-07-07T20:05:31.1848572Z [2023-07-07 19:59:39,832] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1849177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1849553Z 2023-07-07T20:05:31.1849864Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1850647Z - self: 2023-07-07T20:05:31.1851307Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:31.1851763Z - aten_name: 2023-07-07T20:05:31.1852175Z - function_overloads: 2023-07-07T20:05:31.1852601Z - onnx_args: 2023-07-07T20:05:31.1853010Z - onnx_kwargs: 2023-07-07T20:05:31.1853740Z - diagnostic_context: 2023-07-07T20:05:31.1854445Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1855118Z [2023-07-07 19:59:39,835] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:31.1855787Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1856083Z 2023-07-07T20:05:31.1856415Z [2023-07-07 19:59:39,835] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1857035Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1857430Z 2023-07-07T20:05:31.1857746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1858570Z - self: 2023-07-07T20:05:31.1859252Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:31.1859703Z - aten_name: 2023-07-07T20:05:31.1860186Z - function_overloads: 2023-07-07T20:05:31.1860600Z - onnx_args: 2023-07-07T20:05:31.1861009Z - onnx_kwargs: 2023-07-07T20:05:31.1861826Z - diagnostic_context: 2023-07-07T20:05:31.1862513Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1863264Z [2023-07-07 19:59:39,948] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:31.1863821Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1864109Z 2023-07-07T20:05:31.1864452Z [2023-07-07 19:59:39,948] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1865050Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1865438Z 2023-07-07T20:05:31.1865750Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1866579Z - self: 2023-07-07T20:05:31.1867275Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:31.1867727Z - aten_name: 2023-07-07T20:05:31.1868159Z - function_overloads: 2023-07-07T20:05:31.1868572Z - onnx_args: 2023-07-07T20:05:31.1868964Z - onnx_kwargs: 2023-07-07T20:05:31.1869702Z - diagnostic_context: 2023-07-07T20:05:31.1870394Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:31.1871052Z [2023-07-07 19:59:40,005] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:31.1871624Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1871932Z 2023-07-07T20:05:31.1872272Z [2023-07-07 19:59:40,005] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1872891Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1873266Z 2023-07-07T20:05:31.1873585Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1874406Z - self: 2023-07-07T20:05:31.1875168Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:31.1875621Z - aten_name: 2023-07-07T20:05:31.1876050Z - function_overloads: 2023-07-07T20:05:31.1876473Z - onnx_args: 2023-07-07T20:05:31.1876866Z - onnx_kwargs: 2023-07-07T20:05:31.1877599Z - diagnostic_context: 2023-07-07T20:05:31.1878398Z - Return value: 2023-07-07T20:05:31.1879137Z [2023-07-07 19:59:40,104] torch.onnx: [WARNING] FX Node: call_function:aten.log.default[name=log]. 2023-07-07T20:05:31.1879658Z ONNX Node: aten_log[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1880244Z [2023-07-07 19:59:40,104] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.1880631Z ### Exception log 2023-07-07T20:05:31.1880963Z ``` 2023-07-07T20:05:31.1881280Z Traceback (most recent call last): 2023-07-07T20:05:31.1881516Z 2023-07-07T20:05:31.1882101Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.1882674Z torch.testing.assert_close( 2023-07-07T20:05:31.1882892Z 2023-07-07T20:05:31.1883390Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.1883923Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.1884153Z 2023-07-07T20:05:31.1884519Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.1884780Z 2023-07-07T20:05:31.1884986Z Mismatched elements: 38 / 64 (59.4%) 2023-07-07T20:05:31.1885434Z Greatest absolute difference: nan at index (0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.1885940Z Greatest relative difference: nan at index (0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.1886279Z 2023-07-07T20:05:31.1886383Z ``` 2023-07-07T20:05:31.1886729Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1887564Z - diagnostic_context: 2023-07-07T20:05:31.1888300Z - node: fx.Node(log[call_function]'aten.log.default') 2023-07-07T20:05:31.1888787Z - symbolic_fn: `OnnxFunction(aten_log)` 2023-07-07T20:05:31.1889229Z - torch_args: 2023-07-07T20:05:31.1889645Z - torch_kwargs: 2023-07-07T20:05:31.1890057Z - Return value: 2023-07-07T20:05:31.1890401Z PASSED [3.1619s] [ 13%] 2023-07-07T20:05:31.1891464Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_mutation [2023-07-07 19:59:40,698] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.1892269Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1892543Z 2023-07-07T20:05:31.1892893Z [2023-07-07 19:59:40,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1893520Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1893911Z 2023-07-07T20:05:31.1894220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1895045Z - self: 2023-07-07T20:05:31.1895713Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.1896165Z - aten_name: 2023-07-07T20:05:31.1896599Z - function_overloads: 2023-07-07T20:05:31.1897016Z - onnx_args: 2023-07-07T20:05:31.1897417Z - onnx_kwargs: 2023-07-07T20:05:31.1898156Z - diagnostic_context: 2023-07-07T20:05:31.1898846Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.1899217Z PASSED [0.3419s] [ 14%] 2023-07-07T20:05:31.1899833Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_none_input PASSED [0.1180s] [ 15%] 2023-07-07T20:05:31.1901176Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_resnet18 [2023-07-07 19:59:48,565] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.1902009Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1902313Z 2023-07-07T20:05:31.1902657Z [2023-07-07 19:59:48,565] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1903276Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1903664Z 2023-07-07T20:05:31.1904063Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1904880Z - self: 2023-07-07T20:05:31.1905629Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.1906129Z - aten_name: 2023-07-07T20:05:31.1906547Z - function_overloads: 2023-07-07T20:05:31.1906969Z - onnx_args: 2023-07-07T20:05:31.1907381Z - onnx_kwargs: 2023-07-07T20:05:31.1908099Z - diagnostic_context: 2023-07-07T20:05:31.1908909Z - Return value: 2023-07-07T20:05:31.1909773Z [2023-07-07 19:59:48,578] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.1910393Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1911049Z [2023-07-07 19:59:48,578] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.1911447Z ### Exception log 2023-07-07T20:05:31.1911733Z ``` 2023-07-07T20:05:31.1912080Z Traceback (most recent call last): 2023-07-07T20:05:31.1912306Z 2023-07-07T20:05:31.1912903Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.1913525Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.1913791Z 2023-07-07T20:05:31.1914251Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.1914785Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.1915015Z 2023-07-07T20:05:31.1915586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.1916151Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.1916385Z 2023-07-07T20:05:31.1916849Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.1917406Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.1917695Z 2023-07-07T20:05:31.1918182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.1918770Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.1919056Z 2023-07-07T20:05:31.1919633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.1920162Z result = op.Conv( 2023-07-07T20:05:31.1920348Z 2023-07-07T20:05:31.1920823Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.1921318Z return op( 2023-07-07T20:05:31.1921512Z 2023-07-07T20:05:31.1921959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.1922516Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.1922794Z 2023-07-07T20:05:31.1923251Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.1923801Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1924075Z 2023-07-07T20:05:31.1924683Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.1925249Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.1925519Z 2023-07-07T20:05:31.1925994Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.1926652Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.1927005Z 2023-07-07T20:05:31.1927546Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.1928057Z node.attribute.extend( 2023-07-07T20:05:31.1928285Z 2023-07-07T20:05:31.1928727Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.1929219Z make_attribute(key, value) 2023-07-07T20:05:31.1929422Z 2023-07-07T20:05:31.1929878Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.1930358Z raise ValueError( 2023-07-07T20:05:31.1930560Z 2023-07-07T20:05:31.1930861Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.1931212Z 2023-07-07T20:05:31.1931377Z ``` 2023-07-07T20:05:31.1931729Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1932532Z - diagnostic_context: 2023-07-07T20:05:31.1933408Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.1934075Z - symbolic_fn: 2023-07-07T20:05:31.1934651Z - torch_args: 2023-07-07T20:05:31.1935071Z - torch_kwargs: 2023-07-07T20:05:31.1935488Z - Return value: 2023-07-07T20:05:31.1936250Z [2023-07-07 19:59:48,585] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:31.1936911Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1937295Z 2023-07-07T20:05:31.1937646Z [2023-07-07 19:59:48,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1938259Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1938649Z 2023-07-07T20:05:31.1938975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1939792Z - self: 2023-07-07T20:05:31.1940597Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.1941106Z - aten_name: 2023-07-07T20:05:31.1941530Z - function_overloads: 2023-07-07T20:05:31.1941949Z - onnx_args: 2023-07-07T20:05:31.1942340Z - onnx_kwargs: 2023-07-07T20:05:31.1943073Z - diagnostic_context: 2023-07-07T20:05:31.1943831Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.1944630Z [2023-07-07 19:59:48,589] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:31.1945282Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1945607Z 2023-07-07T20:05:31.1945955Z [2023-07-07 19:59:48,589] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1946573Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1946961Z 2023-07-07T20:05:31.1947262Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1948080Z - self: 2023-07-07T20:05:31.1948885Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.1949412Z - aten_name: 2023-07-07T20:05:31.1949822Z - function_overloads: 2023-07-07T20:05:31.1950254Z - onnx_args: 2023-07-07T20:05:31.1950653Z - onnx_kwargs: 2023-07-07T20:05:31.1951376Z - diagnostic_context: 2023-07-07T20:05:31.1952212Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.1952914Z [2023-07-07 19:59:48,612] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt]. 2023-07-07T20:05:31.1953443Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1954037Z [2023-07-07 19:59:48,612] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.1954423Z ### Exception log 2023-07-07T20:05:31.1954770Z ``` 2023-07-07T20:05:31.1955093Z Traceback (most recent call last): 2023-07-07T20:05:31.1955323Z 2023-07-07T20:05:31.1955912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.1956542Z torch.testing.assert_close( 2023-07-07T20:05:31.1956777Z 2023-07-07T20:05:31.1957258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.1957819Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.1958048Z 2023-07-07T20:05:31.1958319Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.1958611Z 2023-07-07T20:05:31.1958773Z Mismatched elements: 38 / 64 (59.4%) 2023-07-07T20:05:31.1959204Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.1959703Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.1959985Z 2023-07-07T20:05:31.1960089Z ``` 2023-07-07T20:05:31.1960434Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.1961223Z - diagnostic_context: 2023-07-07T20:05:31.1961966Z - node: fx.Node(sqrt[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.1962470Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.1962903Z - torch_args: 2023-07-07T20:05:31.1963317Z - torch_kwargs: 2023-07-07T20:05:31.1963737Z - Return value: 2023-07-07T20:05:31.1964502Z [2023-07-07 19:59:48,616] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:05:31.1965087Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1965386Z 2023-07-07T20:05:31.1965732Z [2023-07-07 19:59:48,616] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1966329Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1966711Z 2023-07-07T20:05:31.1967027Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1967847Z - self: 2023-07-07T20:05:31.1968558Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:05:31.1969007Z - aten_name: 2023-07-07T20:05:31.1969441Z - function_overloads: 2023-07-07T20:05:31.1969862Z - onnx_args: 2023-07-07T20:05:31.1970251Z - onnx_kwargs: 2023-07-07T20:05:31.1970998Z - diagnostic_context: 2023-07-07T20:05:31.1971707Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.1972406Z [2023-07-07 19:59:48,821] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:31.1973001Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1973304Z 2023-07-07T20:05:31.1973645Z [2023-07-07 19:59:48,821] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1974260Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1974649Z 2023-07-07T20:05:31.1974950Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1975865Z - self: 2023-07-07T20:05:31.1976602Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.1977097Z - aten_name: 2023-07-07T20:05:31.1977514Z - function_overloads: 2023-07-07T20:05:31.1977933Z - onnx_args: 2023-07-07T20:05:31.1978339Z - onnx_kwargs: 2023-07-07T20:05:31.1979058Z - diagnostic_context: 2023-07-07T20:05:31.1979764Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.1980487Z [2023-07-07 19:59:48,825] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:31.1981117Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1981413Z 2023-07-07T20:05:31.1981757Z [2023-07-07 19:59:48,825] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1982423Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1982807Z 2023-07-07T20:05:31.1983129Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1983988Z - self: 2023-07-07T20:05:31.1984728Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.1985221Z - aten_name: 2023-07-07T20:05:31.1985636Z - function_overloads: 2023-07-07T20:05:31.1986056Z - onnx_args: 2023-07-07T20:05:31.1986459Z - onnx_kwargs: 2023-07-07T20:05:31.1987181Z - diagnostic_context: 2023-07-07T20:05:31.1987896Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.1988621Z [2023-07-07 19:59:48,864] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:31.1989233Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1989528Z 2023-07-07T20:05:31.1989857Z [2023-07-07 19:59:48,864] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1990464Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1990849Z 2023-07-07T20:05:31.1991171Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.1991997Z - self: 2023-07-07T20:05:31.1992721Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.1993215Z - aten_name: 2023-07-07T20:05:31.1993649Z - function_overloads: 2023-07-07T20:05:31.1994050Z - onnx_args: 2023-07-07T20:05:31.1994456Z - onnx_kwargs: 2023-07-07T20:05:31.1995258Z - diagnostic_context: 2023-07-07T20:05:31.1995954Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.1996691Z [2023-07-07 19:59:48,867] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_3]. 2023-07-07T20:05:31.1997293Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.1997591Z 2023-07-07T20:05:31.1997929Z [2023-07-07 19:59:48,867] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.1998531Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.1998912Z 2023-07-07T20:05:31.1999236Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2000059Z - self: 2023-07-07T20:05:31.2000801Z - node: fx.Node(unsqueeze_3[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2001340Z - aten_name: 2023-07-07T20:05:31.2001766Z - function_overloads: 2023-07-07T20:05:31.2002188Z - onnx_args: 2023-07-07T20:05:31.2002576Z - onnx_kwargs: 2023-07-07T20:05:31.2003309Z - diagnostic_context: 2023-07-07T20:05:31.2004016Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2004932Z [2023-07-07 19:59:49,075] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_4]. 2023-07-07T20:05:31.2005540Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2005839Z 2023-07-07T20:05:31.2006247Z [2023-07-07 19:59:49,075] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2006857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2007272Z 2023-07-07T20:05:31.2007590Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2008405Z - self: 2023-07-07T20:05:31.2009189Z - node: fx.Node(unsqueeze_4[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2009665Z - aten_name: 2023-07-07T20:05:31.2010092Z - function_overloads: 2023-07-07T20:05:31.2010512Z - onnx_args: 2023-07-07T20:05:31.2010915Z - onnx_kwargs: 2023-07-07T20:05:31.2011637Z - diagnostic_context: 2023-07-07T20:05:31.2012353Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2013081Z [2023-07-07 19:59:49,079] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_5]. 2023-07-07T20:05:31.2013661Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2013959Z 2023-07-07T20:05:31.2014303Z [2023-07-07 19:59:49,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2014914Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2015309Z 2023-07-07T20:05:31.2015624Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2016423Z - self: 2023-07-07T20:05:31.2017154Z - node: fx.Node(unsqueeze_5[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2017649Z - aten_name: 2023-07-07T20:05:31.2018067Z - function_overloads: 2023-07-07T20:05:31.2018490Z - onnx_args: 2023-07-07T20:05:31.2018900Z - onnx_kwargs: 2023-07-07T20:05:31.2019622Z - diagnostic_context: 2023-07-07T20:05:31.2020335Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2021156Z [2023-07-07 19:59:49,162] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_6]. 2023-07-07T20:05:31.2021883Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2022344Z 2023-07-07T20:05:31.2022678Z [2023-07-07 19:59:49,163] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2023403Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2023830Z 2023-07-07T20:05:31.2024204Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2025138Z - self: 2023-07-07T20:05:31.2025903Z - node: fx.Node(unsqueeze_6[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2026175Z - aten_name: 2023-07-07T20:05:31.2026448Z - function_overloads: 2023-07-07T20:05:31.2026752Z - onnx_args: 2023-07-07T20:05:31.2027005Z - onnx_kwargs: 2023-07-07T20:05:31.2027573Z - diagnostic_context: 2023-07-07T20:05:31.2027827Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2028344Z [2023-07-07 19:59:49,166] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_7]. 2023-07-07T20:05:31.2028639Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2028649Z 2023-07-07T20:05:31.2029087Z [2023-07-07 19:59:49,166] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2029514Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2029523Z 2023-07-07T20:05:31.2029906Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2030470Z - self: 2023-07-07T20:05:31.2030860Z - node: fx.Node(unsqueeze_7[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2031167Z - aten_name: 2023-07-07T20:05:31.2031390Z - function_overloads: 2023-07-07T20:05:31.2031653Z - onnx_args: 2023-07-07T20:05:31.2031915Z - onnx_kwargs: 2023-07-07T20:05:31.2032506Z - diagnostic_context: 2023-07-07T20:05:31.2032824Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2033404Z [2023-07-07 19:59:49,315] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.2033715Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2033724Z 2023-07-07T20:05:31.2034099Z [2023-07-07 19:59:49,315] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2034486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2034501Z 2023-07-07T20:05:31.2034867Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2035371Z - self: 2023-07-07T20:05:31.2035830Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.2036096Z - aten_name: 2023-07-07T20:05:31.2036357Z - function_overloads: 2023-07-07T20:05:31.2036592Z - onnx_args: 2023-07-07T20:05:31.2036827Z - onnx_kwargs: 2023-07-07T20:05:31.2037398Z - diagnostic_context: 2023-07-07T20:05:31.2037752Z - Return value: 2023-07-07T20:05:31.2038333Z [2023-07-07 19:59:49,327] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.2038642Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2039030Z [2023-07-07 19:59:49,327] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2039220Z ### Exception log 2023-07-07T20:05:31.2039361Z ``` 2023-07-07T20:05:31.2039561Z Traceback (most recent call last): 2023-07-07T20:05:31.2039571Z 2023-07-07T20:05:31.2040194Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2040394Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2040403Z 2023-07-07T20:05:31.2040886Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2041084Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2041093Z 2023-07-07T20:05:31.2041759Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 834, in aten_max_pool2d_with_indices 2023-07-07T20:05:31.2042059Z kernel_shape, strides, pads, dilations = _adjust_attributes_of_max_pool( 2023-07-07T20:05:31.2042069Z 2023-07-07T20:05:31.2042718Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 738, in _adjust_attributes_of_max_pool 2023-07-07T20:05:31.2042882Z elif not stride: 2023-07-07T20:05:31.2042891Z 2023-07-07T20:05:31.2043231Z ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() 2023-07-07T20:05:31.2043240Z 2023-07-07T20:05:31.2043413Z ``` 2023-07-07T20:05:31.2043610Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2044188Z - diagnostic_context: 2023-07-07T20:05:31.2044808Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.2045209Z - symbolic_fn: 2023-07-07T20:05:31.2045521Z - torch_args: 2023-07-07T20:05:31.2045794Z - torch_kwargs: 2023-07-07T20:05:31.2046052Z - Return value: 2023-07-07T20:05:31.2046592Z [2023-07-07 19:59:49,330] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.2046830Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2046920Z 2023-07-07T20:05:31.2047248Z [2023-07-07 19:59:49,330] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2047626Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2047635Z 2023-07-07T20:05:31.2047990Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2048496Z - self: 2023-07-07T20:05:31.2048902Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2049153Z - aten_name: 2023-07-07T20:05:31.2049420Z - function_overloads: 2023-07-07T20:05:31.2049654Z - onnx_args: 2023-07-07T20:05:31.2049841Z - onnx_kwargs: 2023-07-07T20:05:31.2050405Z - diagnostic_context: 2023-07-07T20:05:31.2050805Z - Return value: 2023-07-07T20:05:31.2051331Z [2023-07-07 19:59:49,341] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.2051611Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2051998Z [2023-07-07 19:59:49,341] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2052238Z ### Exception log 2023-07-07T20:05:31.2052327Z ``` 2023-07-07T20:05:31.2052522Z Traceback (most recent call last): 2023-07-07T20:05:31.2052534Z 2023-07-07T20:05:31.2053153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2053431Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2053440Z 2023-07-07T20:05:31.2053924Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2054115Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2054126Z 2023-07-07T20:05:31.2054723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2054927Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2054938Z 2023-07-07T20:05:31.2055511Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2055779Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2055791Z 2023-07-07T20:05:31.2056263Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2056525Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2056534Z 2023-07-07T20:05:31.2057141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2057306Z result = op.Conv( 2023-07-07T20:05:31.2057314Z 2023-07-07T20:05:31.2057902Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2058059Z return op( 2023-07-07T20:05:31.2058067Z 2023-07-07T20:05:31.2058605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2058883Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2058969Z 2023-07-07T20:05:31.2059458Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2059668Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2059723Z 2023-07-07T20:05:31.2060165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2060417Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2060426Z 2023-07-07T20:05:31.2060927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2061262Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2061274Z 2023-07-07T20:05:31.2061748Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2061935Z node.attribute.extend( 2023-07-07T20:05:31.2061947Z 2023-07-07T20:05:31.2062445Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2062634Z make_attribute(key, value) 2023-07-07T20:05:31.2062642Z 2023-07-07T20:05:31.2063133Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2063255Z raise ValueError( 2023-07-07T20:05:31.2063263Z 2023-07-07T20:05:31.2063588Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2063597Z 2023-07-07T20:05:31.2063735Z ``` 2023-07-07T20:05:31.2063983Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2064549Z - diagnostic_context: 2023-07-07T20:05:31.2064959Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2065425Z - symbolic_fn: 2023-07-07T20:05:31.2065682Z - torch_args: 2023-07-07T20:05:31.2065872Z - torch_kwargs: 2023-07-07T20:05:31.2066130Z - Return value: 2023-07-07T20:05:31.2066712Z [2023-07-07 19:59:49,346] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:31.2067015Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2067024Z 2023-07-07T20:05:31.2067399Z [2023-07-07 19:59:49,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2067779Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2067788Z 2023-07-07T20:05:31.2068134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2068739Z - self: 2023-07-07T20:05:31.2069205Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2069390Z - aten_name: 2023-07-07T20:05:31.2069655Z - function_overloads: 2023-07-07T20:05:31.2069886Z - onnx_args: 2023-07-07T20:05:31.2070122Z - onnx_kwargs: 2023-07-07T20:05:31.2070680Z - diagnostic_context: 2023-07-07T20:05:31.2071039Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2071770Z [2023-07-07 19:59:49,357] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_3]. 2023-07-07T20:05:31.2072103Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2072163Z 2023-07-07T20:05:31.2072497Z [2023-07-07 19:59:49,357] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2072875Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2072923Z 2023-07-07T20:05:31.2073273Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2073781Z - self: 2023-07-07T20:05:31.2074236Z - node: fx.Node(convert_element_type_3[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2074466Z - aten_name: 2023-07-07T20:05:31.2074804Z - function_overloads: 2023-07-07T20:05:31.2075048Z - onnx_args: 2023-07-07T20:05:31.2075236Z - onnx_kwargs: 2023-07-07T20:05:31.2075832Z - diagnostic_context: 2023-07-07T20:05:31.2076188Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2076662Z [2023-07-07 19:59:49,389] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_1]. 2023-07-07T20:05:31.2076923Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2077320Z [2023-07-07 19:59:49,390] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2077479Z ### Exception log 2023-07-07T20:05:31.2077618Z ``` 2023-07-07T20:05:31.2077771Z Traceback (most recent call last): 2023-07-07T20:05:31.2077780Z 2023-07-07T20:05:31.2078397Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2078644Z torch.testing.assert_close( 2023-07-07T20:05:31.2078657Z 2023-07-07T20:05:31.2079198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2079393Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2079405Z 2023-07-07T20:05:31.2079711Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2079722Z 2023-07-07T20:05:31.2079912Z Mismatched elements: 29 / 64 (45.3%) 2023-07-07T20:05:31.2080180Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.2080395Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2080451Z 2023-07-07T20:05:31.2080541Z ``` 2023-07-07T20:05:31.2080781Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2081382Z - diagnostic_context: 2023-07-07T20:05:31.2081721Z - node: fx.Node(sqrt_1[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2082011Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2082283Z - torch_args: 2023-07-07T20:05:31.2082526Z - torch_kwargs: 2023-07-07T20:05:31.2082734Z - Return value: 2023-07-07T20:05:31.2083264Z [2023-07-07 19:59:49,393] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_1]. 2023-07-07T20:05:31.2083549Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2083558Z 2023-07-07T20:05:31.2083931Z [2023-07-07 19:59:49,393] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2084345Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2084354Z 2023-07-07T20:05:31.2084803Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2085313Z - self: 2023-07-07T20:05:31.2085743Z - node: fx.Node(tensor_int_1[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2085972Z - aten_name: 2023-07-07T20:05:31.2086187Z - function_overloads: 2023-07-07T20:05:31.2086480Z - onnx_args: 2023-07-07T20:05:31.2086725Z - onnx_kwargs: 2023-07-07T20:05:31.2087293Z - diagnostic_context: 2023-07-07T20:05:31.2087693Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2088244Z [2023-07-07 19:59:49,422] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_8]. 2023-07-07T20:05:31.2088522Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2088531Z 2023-07-07T20:05:31.2088851Z [2023-07-07 19:59:49,422] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2089244Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2089253Z 2023-07-07T20:05:31.2089604Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2090108Z - self: 2023-07-07T20:05:31.2090490Z - node: fx.Node(unsqueeze_8[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2090725Z - aten_name: 2023-07-07T20:05:31.2091018Z - function_overloads: 2023-07-07T20:05:31.2091258Z - onnx_args: 2023-07-07T20:05:31.2091446Z - onnx_kwargs: 2023-07-07T20:05:31.2092020Z - diagnostic_context: 2023-07-07T20:05:31.2092321Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2092834Z [2023-07-07 19:59:49,425] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_9]. 2023-07-07T20:05:31.2093109Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2093120Z 2023-07-07T20:05:31.2093488Z [2023-07-07 19:59:49,425] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2093877Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2093887Z 2023-07-07T20:05:31.2094305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2094817Z - self: 2023-07-07T20:05:31.2095152Z - node: fx.Node(unsqueeze_9[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2095383Z - aten_name: 2023-07-07T20:05:31.2095643Z - function_overloads: 2023-07-07T20:05:31.2095876Z - onnx_args: 2023-07-07T20:05:31.2096114Z - onnx_kwargs: 2023-07-07T20:05:31.2096683Z - diagnostic_context: 2023-07-07T20:05:31.2096985Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2097539Z [2023-07-07 19:59:49,428] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_10]. 2023-07-07T20:05:31.2097847Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2097857Z 2023-07-07T20:05:31.2098238Z [2023-07-07 19:59:49,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2098617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2098626Z 2023-07-07T20:05:31.2098970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2099478Z - self: 2023-07-07T20:05:31.2099868Z - node: fx.Node(unsqueeze_10[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2100147Z - aten_name: 2023-07-07T20:05:31.2100451Z - function_overloads: 2023-07-07T20:05:31.2100637Z - onnx_args: 2023-07-07T20:05:31.2100912Z - onnx_kwargs: 2023-07-07T20:05:31.2101515Z - diagnostic_context: 2023-07-07T20:05:31.2101820Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2102375Z [2023-07-07 19:59:49,430] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_11]. 2023-07-07T20:05:31.2102659Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2102671Z 2023-07-07T20:05:31.2103050Z [2023-07-07 19:59:49,430] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2103424Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2103433Z 2023-07-07T20:05:31.2103789Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2104244Z - self: 2023-07-07T20:05:31.2104666Z - node: fx.Node(unsqueeze_11[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2104898Z - aten_name: 2023-07-07T20:05:31.2105160Z - function_overloads: 2023-07-07T20:05:31.2105408Z - onnx_args: 2023-07-07T20:05:31.2105640Z - onnx_kwargs: 2023-07-07T20:05:31.2106239Z - diagnostic_context: 2023-07-07T20:05:31.2106495Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2107009Z [2023-07-07 19:59:49,499] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_12]. 2023-07-07T20:05:31.2107285Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2107294Z 2023-07-07T20:05:31.2107706Z [2023-07-07 19:59:49,499] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2108091Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2108103Z 2023-07-07T20:05:31.2108460Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2108966Z - self: 2023-07-07T20:05:31.2109355Z - node: fx.Node(unsqueeze_12[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2109586Z - aten_name: 2023-07-07T20:05:31.2109801Z - function_overloads: 2023-07-07T20:05:31.2110033Z - onnx_args: 2023-07-07T20:05:31.2110270Z - onnx_kwargs: 2023-07-07T20:05:31.2110859Z - diagnostic_context: 2023-07-07T20:05:31.2111175Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2111693Z [2023-07-07 19:59:49,503] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_13]. 2023-07-07T20:05:31.2111965Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2111980Z 2023-07-07T20:05:31.2112444Z [2023-07-07 19:59:49,503] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2112777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2112788Z 2023-07-07T20:05:31.2113138Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2113640Z - self: 2023-07-07T20:05:31.2114038Z - node: fx.Node(unsqueeze_13[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2114301Z - aten_name: 2023-07-07T20:05:31.2114566Z - function_overloads: 2023-07-07T20:05:31.2114918Z - onnx_args: 2023-07-07T20:05:31.2115160Z - onnx_kwargs: 2023-07-07T20:05:31.2115680Z - diagnostic_context: 2023-07-07T20:05:31.2116031Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2116564Z [2023-07-07 19:59:49,531] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_14]. 2023-07-07T20:05:31.2116873Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2116883Z 2023-07-07T20:05:31.2117263Z [2023-07-07 19:59:49,531] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2117671Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2117683Z 2023-07-07T20:05:31.2118029Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2118572Z - self: 2023-07-07T20:05:31.2118911Z - node: fx.Node(unsqueeze_14[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2119143Z - aten_name: 2023-07-07T20:05:31.2119420Z - function_overloads: 2023-07-07T20:05:31.2119660Z - onnx_args: 2023-07-07T20:05:31.2119896Z - onnx_kwargs: 2023-07-07T20:05:31.2120470Z - diagnostic_context: 2023-07-07T20:05:31.2120810Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2121318Z [2023-07-07 19:59:49,534] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_15]. 2023-07-07T20:05:31.2121547Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2121556Z 2023-07-07T20:05:31.2121933Z [2023-07-07 19:59:49,534] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2122322Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2122331Z 2023-07-07T20:05:31.2122675Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2123179Z - self: 2023-07-07T20:05:31.2123572Z - node: fx.Node(unsqueeze_15[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2123806Z - aten_name: 2023-07-07T20:05:31.2124108Z - function_overloads: 2023-07-07T20:05:31.2124297Z - onnx_args: 2023-07-07T20:05:31.2124637Z - onnx_kwargs: 2023-07-07T20:05:31.2125263Z - diagnostic_context: 2023-07-07T20:05:31.2125565Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2126093Z [2023-07-07 19:59:49,607] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.2126382Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2126393Z 2023-07-07T20:05:31.2126768Z [2023-07-07 19:59:49,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2127265Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2127278Z 2023-07-07T20:05:31.2127667Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2128130Z - self: 2023-07-07T20:05:31.2128531Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2128759Z - aten_name: 2023-07-07T20:05:31.2129021Z - function_overloads: 2023-07-07T20:05:31.2129255Z - onnx_args: 2023-07-07T20:05:31.2129488Z - onnx_kwargs: 2023-07-07T20:05:31.2130111Z - diagnostic_context: 2023-07-07T20:05:31.2130469Z - Return value: 2023-07-07T20:05:31.2131056Z [2023-07-07 19:59:49,617] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.2131409Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2131833Z [2023-07-07 19:59:49,617] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2131992Z ### Exception log 2023-07-07T20:05:31.2132133Z ``` 2023-07-07T20:05:31.2132329Z Traceback (most recent call last): 2023-07-07T20:05:31.2132338Z 2023-07-07T20:05:31.2132976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2133171Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2133226Z 2023-07-07T20:05:31.2133664Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2133858Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2133870Z 2023-07-07T20:05:31.2134504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2134704Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2134714Z 2023-07-07T20:05:31.2135203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2135468Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2135476Z 2023-07-07T20:05:31.2135999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2136264Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2136275Z 2023-07-07T20:05:31.2136884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2137003Z result = op.Conv( 2023-07-07T20:05:31.2137100Z 2023-07-07T20:05:31.2137580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2137767Z return op( 2023-07-07T20:05:31.2137776Z 2023-07-07T20:05:31.2138270Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2138521Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2138531Z 2023-07-07T20:05:31.2139031Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2139288Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2139297Z 2023-07-07T20:05:31.2139790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2140035Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2140044Z 2023-07-07T20:05:31.2140595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2140882Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2140973Z 2023-07-07T20:05:31.2141404Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2141599Z node.attribute.extend( 2023-07-07T20:05:31.2141608Z 2023-07-07T20:05:31.2142074Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2142257Z make_attribute(key, value) 2023-07-07T20:05:31.2142268Z 2023-07-07T20:05:31.2142759Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2143004Z raise ValueError( 2023-07-07T20:05:31.2143013Z 2023-07-07T20:05:31.2143345Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2143387Z 2023-07-07T20:05:31.2143535Z ``` 2023-07-07T20:05:31.2143733Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2144333Z - diagnostic_context: 2023-07-07T20:05:31.2144775Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2145170Z - symbolic_fn: 2023-07-07T20:05:31.2145408Z - torch_args: 2023-07-07T20:05:31.2145646Z - torch_kwargs: 2023-07-07T20:05:31.2145907Z - Return value: 2023-07-07T20:05:31.2146492Z [2023-07-07 19:59:49,625] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_4]. 2023-07-07T20:05:31.2146749Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2146812Z 2023-07-07T20:05:31.2147140Z [2023-07-07 19:59:49,625] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2147561Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2147575Z 2023-07-07T20:05:31.2147924Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2148432Z - self: 2023-07-07T20:05:31.2148888Z - node: fx.Node(convert_element_type_4[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2149152Z - aten_name: 2023-07-07T20:05:31.2149420Z - function_overloads: 2023-07-07T20:05:31.2149655Z - onnx_args: 2023-07-07T20:05:31.2149840Z - onnx_kwargs: 2023-07-07T20:05:31.2150415Z - diagnostic_context: 2023-07-07T20:05:31.2150804Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2151385Z [2023-07-07 19:59:49,628] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_5]. 2023-07-07T20:05:31.2151692Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2151702Z 2023-07-07T20:05:31.2152084Z [2023-07-07 19:59:49,628] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2152478Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2152487Z 2023-07-07T20:05:31.2152838Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2153287Z - self: 2023-07-07T20:05:31.2153742Z - node: fx.Node(convert_element_type_5[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2153967Z - aten_name: 2023-07-07T20:05:31.2154262Z - function_overloads: 2023-07-07T20:05:31.2154534Z - onnx_args: 2023-07-07T20:05:31.2154857Z - onnx_kwargs: 2023-07-07T20:05:31.2155468Z - diagnostic_context: 2023-07-07T20:05:31.2155823Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2156245Z [2023-07-07 19:59:49,636] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_2]. 2023-07-07T20:05:31.2156504Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2156858Z [2023-07-07 19:59:49,636] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2157023Z ### Exception log 2023-07-07T20:05:31.2157198Z ``` 2023-07-07T20:05:31.2157403Z Traceback (most recent call last): 2023-07-07T20:05:31.2157452Z 2023-07-07T20:05:31.2158073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2158304Z torch.testing.assert_close( 2023-07-07T20:05:31.2158315Z 2023-07-07T20:05:31.2158798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2159032Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2159041Z 2023-07-07T20:05:31.2159349Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2159358Z 2023-07-07T20:05:31.2159547Z Mismatched elements: 39 / 64 (60.9%) 2023-07-07T20:05:31.2159822Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.2160121Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2160130Z 2023-07-07T20:05:31.2160305Z ``` 2023-07-07T20:05:31.2160547Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2161064Z - diagnostic_context: 2023-07-07T20:05:31.2161405Z - node: fx.Node(sqrt_2[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2161693Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2161929Z - torch_args: 2023-07-07T20:05:31.2162181Z - torch_kwargs: 2023-07-07T20:05:31.2162437Z - Return value: 2023-07-07T20:05:31.2162943Z [2023-07-07 19:59:49,639] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_2]. 2023-07-07T20:05:31.2163219Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2163228Z 2023-07-07T20:05:31.2163557Z [2023-07-07 19:59:49,639] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2163935Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2163944Z 2023-07-07T20:05:31.2164295Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2164923Z - self: 2023-07-07T20:05:31.2165299Z - node: fx.Node(tensor_int_2[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2165528Z - aten_name: 2023-07-07T20:05:31.2165793Z - function_overloads: 2023-07-07T20:05:31.2166096Z - onnx_args: 2023-07-07T20:05:31.2166288Z - onnx_kwargs: 2023-07-07T20:05:31.2166844Z - diagnostic_context: 2023-07-07T20:05:31.2167151Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2167671Z [2023-07-07 19:59:49,656] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_16]. 2023-07-07T20:05:31.2167954Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2167966Z 2023-07-07T20:05:31.2168338Z [2023-07-07 19:59:49,656] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2168723Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2168809Z 2023-07-07T20:05:31.2169162Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2169699Z - self: 2023-07-07T20:05:31.2170048Z - node: fx.Node(unsqueeze_16[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2170281Z - aten_name: 2023-07-07T20:05:31.2170554Z - function_overloads: 2023-07-07T20:05:31.2170786Z - onnx_args: 2023-07-07T20:05:31.2171025Z - onnx_kwargs: 2023-07-07T20:05:31.2171586Z - diagnostic_context: 2023-07-07T20:05:31.2171941Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2172412Z [2023-07-07 19:59:49,659] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_17]. 2023-07-07T20:05:31.2172780Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2172791Z 2023-07-07T20:05:31.2173205Z [2023-07-07 19:59:49,659] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2173632Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2173641Z 2023-07-07T20:05:31.2173989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2174495Z - self: 2023-07-07T20:05:31.2174886Z - node: fx.Node(unsqueeze_17[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2175116Z - aten_name: 2023-07-07T20:05:31.2175381Z - function_overloads: 2023-07-07T20:05:31.2175568Z - onnx_args: 2023-07-07T20:05:31.2175811Z - onnx_kwargs: 2023-07-07T20:05:31.2176408Z - diagnostic_context: 2023-07-07T20:05:31.2176718Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2177232Z [2023-07-07 19:59:49,661] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_18]. 2023-07-07T20:05:31.2177507Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2177516Z 2023-07-07T20:05:31.2177886Z [2023-07-07 19:59:49,661] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2178304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2178313Z 2023-07-07T20:05:31.2178615Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2179128Z - self: 2023-07-07T20:05:31.2179517Z - node: fx.Node(unsqueeze_18[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2179785Z - aten_name: 2023-07-07T20:05:31.2180047Z - function_overloads: 2023-07-07T20:05:31.2180283Z - onnx_args: 2023-07-07T20:05:31.2180521Z - onnx_kwargs: 2023-07-07T20:05:31.2181081Z - diagnostic_context: 2023-07-07T20:05:31.2181339Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2181873Z [2023-07-07 19:59:49,663] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_19]. 2023-07-07T20:05:31.2182149Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2182158Z 2023-07-07T20:05:31.2182690Z [2023-07-07 19:59:49,663] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2183074Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2183083Z 2023-07-07T20:05:31.2183476Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2183983Z - self: 2023-07-07T20:05:31.2184391Z - node: fx.Node(unsqueeze_19[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2184662Z - aten_name: 2023-07-07T20:05:31.2184911Z - function_overloads: 2023-07-07T20:05:31.2185178Z - onnx_args: 2023-07-07T20:05:31.2185428Z - onnx_kwargs: 2023-07-07T20:05:31.2185987Z - diagnostic_context: 2023-07-07T20:05:31.2186295Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2186851Z [2023-07-07 19:59:49,700] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_20]. 2023-07-07T20:05:31.2187141Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2187185Z 2023-07-07T20:05:31.2187563Z [2023-07-07 19:59:49,700] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2187898Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2188016Z 2023-07-07T20:05:31.2188323Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2188829Z - self: 2023-07-07T20:05:31.2189215Z - node: fx.Node(unsqueeze_20[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2189443Z - aten_name: 2023-07-07T20:05:31.2189715Z - function_overloads: 2023-07-07T20:05:31.2189950Z - onnx_args: 2023-07-07T20:05:31.2190186Z - onnx_kwargs: 2023-07-07T20:05:31.2190705Z - diagnostic_context: 2023-07-07T20:05:31.2191052Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2191595Z [2023-07-07 19:59:49,703] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_21]. 2023-07-07T20:05:31.2191872Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2191881Z 2023-07-07T20:05:31.2192255Z [2023-07-07 19:59:49,703] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2192647Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2192656Z 2023-07-07T20:05:31.2193004Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2193502Z - self: 2023-07-07T20:05:31.2193895Z - node: fx.Node(unsqueeze_21[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2194079Z - aten_name: 2023-07-07T20:05:31.2194343Z - function_overloads: 2023-07-07T20:05:31.2194683Z - onnx_args: 2023-07-07T20:05:31.2194935Z - onnx_kwargs: 2023-07-07T20:05:31.2195505Z - diagnostic_context: 2023-07-07T20:05:31.2195815Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2196328Z [2023-07-07 19:59:49,717] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_22]. 2023-07-07T20:05:31.2196606Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2196618Z 2023-07-07T20:05:31.2196938Z [2023-07-07 19:59:49,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2197363Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2197372Z 2023-07-07T20:05:31.2197720Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2198307Z - self: 2023-07-07T20:05:31.2198716Z - node: fx.Node(unsqueeze_22[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2198948Z - aten_name: 2023-07-07T20:05:31.2199209Z - function_overloads: 2023-07-07T20:05:31.2199445Z - onnx_args: 2023-07-07T20:05:31.2199632Z - onnx_kwargs: 2023-07-07T20:05:31.2309150Z - diagnostic_context: 2023-07-07T20:05:31.2309575Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2310074Z [2023-07-07 19:59:49,720] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_23]. 2023-07-07T20:05:31.2310613Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2310628Z 2023-07-07T20:05:31.2310973Z [2023-07-07 19:59:49,720] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2311407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2311418Z 2023-07-07T20:05:31.2311790Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2312260Z - self: 2023-07-07T20:05:31.2312604Z - node: fx.Node(unsqueeze_23[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2312800Z - aten_name: 2023-07-07T20:05:31.2313027Z - function_overloads: 2023-07-07T20:05:31.2313224Z - onnx_args: 2023-07-07T20:05:31.2313421Z - onnx_kwargs: 2023-07-07T20:05:31.2313949Z - diagnostic_context: 2023-07-07T20:05:31.2314214Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2314782Z [2023-07-07 19:59:49,814] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.2315039Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2315049Z 2023-07-07T20:05:31.2315391Z [2023-07-07 19:59:49,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2315741Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2315752Z 2023-07-07T20:05:31.2316063Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2316535Z - self: 2023-07-07T20:05:31.2316896Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2317087Z - aten_name: 2023-07-07T20:05:31.2317314Z - function_overloads: 2023-07-07T20:05:31.2317499Z - onnx_args: 2023-07-07T20:05:31.2317701Z - onnx_kwargs: 2023-07-07T20:05:31.2318230Z - diagnostic_context: 2023-07-07T20:05:31.2318594Z - Return value: 2023-07-07T20:05:31.2319086Z [2023-07-07 19:59:49,832] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.2319327Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2319666Z [2023-07-07 19:59:49,832] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2319784Z ### Exception log 2023-07-07T20:05:31.2319873Z ``` 2023-07-07T20:05:31.2320034Z Traceback (most recent call last): 2023-07-07T20:05:31.2320044Z 2023-07-07T20:05:31.2320626Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2320825Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2320838Z 2023-07-07T20:05:31.2321365Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2321522Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2321533Z 2023-07-07T20:05:31.2322075Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2322239Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2322247Z 2023-07-07T20:05:31.2322696Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2322917Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2322926Z 2023-07-07T20:05:31.2323435Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2323661Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2323706Z 2023-07-07T20:05:31.2324277Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2324587Z result = op.Conv( 2023-07-07T20:05:31.2324596Z 2023-07-07T20:05:31.2325099Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2325212Z return op( 2023-07-07T20:05:31.2325220Z 2023-07-07T20:05:31.2325673Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2325886Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2325896Z 2023-07-07T20:05:31.2326354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2326564Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2326573Z 2023-07-07T20:05:31.2327019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2327225Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2327236Z 2023-07-07T20:05:31.2327707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2328003Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2328012Z 2023-07-07T20:05:31.2328443Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2328591Z node.attribute.extend( 2023-07-07T20:05:31.2328599Z 2023-07-07T20:05:31.2329039Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2329186Z make_attribute(key, value) 2023-07-07T20:05:31.2329194Z 2023-07-07T20:05:31.2329636Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2329768Z raise ValueError( 2023-07-07T20:05:31.2329776Z 2023-07-07T20:05:31.2330065Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2330076Z 2023-07-07T20:05:31.2330173Z ``` 2023-07-07T20:05:31.2330377Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2330899Z - diagnostic_context: 2023-07-07T20:05:31.2331269Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2331634Z - symbolic_fn: 2023-07-07T20:05:31.2331832Z - torch_args: 2023-07-07T20:05:31.2332028Z - torch_kwargs: 2023-07-07T20:05:31.2332248Z - Return value: 2023-07-07T20:05:31.2332793Z [2023-07-07 19:59:49,837] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_6]. 2023-07-07T20:05:31.2333109Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2333121Z 2023-07-07T20:05:31.2333466Z [2023-07-07 19:59:49,837] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2333801Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2333812Z 2023-07-07T20:05:31.2334121Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2334583Z - self: 2023-07-07T20:05:31.2334984Z - node: fx.Node(convert_element_type_6[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2335216Z - aten_name: 2023-07-07T20:05:31.2335444Z - function_overloads: 2023-07-07T20:05:31.2335640Z - onnx_args: 2023-07-07T20:05:31.2335883Z - onnx_kwargs: 2023-07-07T20:05:31.2336410Z - diagnostic_context: 2023-07-07T20:05:31.2336769Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2337316Z [2023-07-07 19:59:49,840] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_7]. 2023-07-07T20:05:31.2337574Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2337583Z 2023-07-07T20:05:31.2337920Z [2023-07-07 19:59:49,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2338265Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2338274Z 2023-07-07T20:05:31.2338586Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2339047Z - self: 2023-07-07T20:05:31.2339463Z - node: fx.Node(convert_element_type_7[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2339654Z - aten_name: 2023-07-07T20:05:31.2339879Z - function_overloads: 2023-07-07T20:05:31.2340070Z - onnx_args: 2023-07-07T20:05:31.2340262Z - onnx_kwargs: 2023-07-07T20:05:31.2340790Z - diagnostic_context: 2023-07-07T20:05:31.2341105Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2341539Z [2023-07-07 19:59:49,848] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_3]. 2023-07-07T20:05:31.2341762Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2342078Z [2023-07-07 19:59:49,848] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2342196Z ### Exception log 2023-07-07T20:05:31.2342292Z ``` 2023-07-07T20:05:31.2342447Z Traceback (most recent call last): 2023-07-07T20:05:31.2342458Z 2023-07-07T20:05:31.2343022Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2343187Z torch.testing.assert_close( 2023-07-07T20:05:31.2343196Z 2023-07-07T20:05:31.2343694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2343853Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2343861Z 2023-07-07T20:05:31.2344122Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2344131Z 2023-07-07T20:05:31.2344280Z Mismatched elements: 39 / 64 (60.9%) 2023-07-07T20:05:31.2344515Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.2344736Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2344744Z 2023-07-07T20:05:31.2344850Z ``` 2023-07-07T20:05:31.2345102Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2345638Z - diagnostic_context: 2023-07-07T20:05:31.2345948Z - node: fx.Node(sqrt_3[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2346191Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2346383Z - torch_args: 2023-07-07T20:05:31.2346576Z - torch_kwargs: 2023-07-07T20:05:31.2346790Z - Return value: 2023-07-07T20:05:31.2347231Z [2023-07-07 19:59:49,851] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_3]. 2023-07-07T20:05:31.2347470Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2347478Z 2023-07-07T20:05:31.2347845Z [2023-07-07 19:59:49,851] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2348192Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2348239Z 2023-07-07T20:05:31.2348552Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2349050Z - self: 2023-07-07T20:05:31.2349357Z - node: fx.Node(tensor_int_3[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2349540Z - aten_name: 2023-07-07T20:05:31.2349760Z - function_overloads: 2023-07-07T20:05:31.2349955Z - onnx_args: 2023-07-07T20:05:31.2350155Z - onnx_kwargs: 2023-07-07T20:05:31.2350675Z - diagnostic_context: 2023-07-07T20:05:31.2350938Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2351416Z [2023-07-07 19:59:49,870] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_24]. 2023-07-07T20:05:31.2351651Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2351671Z 2023-07-07T20:05:31.2351996Z [2023-07-07 19:59:49,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2352333Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2352342Z 2023-07-07T20:05:31.2352655Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2353119Z - self: 2023-07-07T20:05:31.2353466Z - node: fx.Node(unsqueeze_24[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2353657Z - aten_name: 2023-07-07T20:05:31.2353882Z - function_overloads: 2023-07-07T20:05:31.2354077Z - onnx_args: 2023-07-07T20:05:31.2354267Z - onnx_kwargs: 2023-07-07T20:05:31.2354859Z - diagnostic_context: 2023-07-07T20:05:31.2355136Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2355609Z [2023-07-07 19:59:49,872] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_25]. 2023-07-07T20:05:31.2355851Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2355859Z 2023-07-07T20:05:31.2356190Z [2023-07-07 19:59:49,872] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2356535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2356544Z 2023-07-07T20:05:31.2356852Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2357325Z - self: 2023-07-07T20:05:31.2357669Z - node: fx.Node(unsqueeze_25[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2357865Z - aten_name: 2023-07-07T20:05:31.2358134Z - function_overloads: 2023-07-07T20:05:31.2358330Z - onnx_args: 2023-07-07T20:05:31.2358533Z - onnx_kwargs: 2023-07-07T20:05:31.2359054Z - diagnostic_context: 2023-07-07T20:05:31.2359319Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2359781Z [2023-07-07 19:59:49,874] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_26]. 2023-07-07T20:05:31.2360018Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2360027Z 2023-07-07T20:05:31.2360359Z [2023-07-07 19:59:49,874] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2360724Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2360734Z 2023-07-07T20:05:31.2361038Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2361580Z - self: 2023-07-07T20:05:31.2361971Z - node: fx.Node(unsqueeze_26[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2362155Z - aten_name: 2023-07-07T20:05:31.2362369Z - function_overloads: 2023-07-07T20:05:31.2362566Z - onnx_args: 2023-07-07T20:05:31.2362762Z - onnx_kwargs: 2023-07-07T20:05:31.2363285Z - diagnostic_context: 2023-07-07T20:05:31.2363548Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2364029Z [2023-07-07 19:59:49,877] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_27]. 2023-07-07T20:05:31.2364264Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2364273Z 2023-07-07T20:05:31.2442049Z [2023-07-07 19:59:49,877] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2442408Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2442422Z 2023-07-07T20:05:31.2442723Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2443217Z - self: 2023-07-07T20:05:31.2443571Z - node: fx.Node(unsqueeze_27[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2443768Z - aten_name: 2023-07-07T20:05:31.2443996Z - function_overloads: 2023-07-07T20:05:31.2444193Z - onnx_args: 2023-07-07T20:05:31.2444514Z - onnx_kwargs: 2023-07-07T20:05:31.2445042Z - diagnostic_context: 2023-07-07T20:05:31.2445309Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2445797Z [2023-07-07 19:59:49,913] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_28]. 2023-07-07T20:05:31.2446043Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2446054Z 2023-07-07T20:05:31.2446391Z [2023-07-07 19:59:49,913] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2446736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2446745Z 2023-07-07T20:05:31.2447059Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2447519Z - self: 2023-07-07T20:05:31.2447874Z - node: fx.Node(unsqueeze_28[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2448052Z - aten_name: 2023-07-07T20:05:31.2448285Z - function_overloads: 2023-07-07T20:05:31.2448481Z - onnx_args: 2023-07-07T20:05:31.2448812Z - onnx_kwargs: 2023-07-07T20:05:31.2449343Z - diagnostic_context: 2023-07-07T20:05:31.2449611Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2450089Z [2023-07-07 19:59:49,916] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_29]. 2023-07-07T20:05:31.2450329Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2450337Z 2023-07-07T20:05:31.2450663Z [2023-07-07 19:59:49,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2451006Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2451085Z 2023-07-07T20:05:31.2451396Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2451865Z - self: 2023-07-07T20:05:31.2452277Z - node: fx.Node(unsqueeze_29[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2452519Z - aten_name: 2023-07-07T20:05:31.2452746Z - function_overloads: 2023-07-07T20:05:31.2452941Z - onnx_args: 2023-07-07T20:05:31.2453136Z - onnx_kwargs: 2023-07-07T20:05:31.2453663Z - diagnostic_context: 2023-07-07T20:05:31.2453930Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2454404Z [2023-07-07 19:59:49,925] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_30]. 2023-07-07T20:05:31.2454644Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2454655Z 2023-07-07T20:05:31.2454993Z [2023-07-07 19:59:49,925] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2455344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2455356Z 2023-07-07T20:05:31.2455670Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2456144Z - self: 2023-07-07T20:05:31.2456489Z - node: fx.Node(unsqueeze_30[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2456683Z - aten_name: 2023-07-07T20:05:31.2456908Z - function_overloads: 2023-07-07T20:05:31.2457098Z - onnx_args: 2023-07-07T20:05:31.2457303Z - onnx_kwargs: 2023-07-07T20:05:31.2457833Z - diagnostic_context: 2023-07-07T20:05:31.2458105Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2458572Z [2023-07-07 19:59:49,928] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_31]. 2023-07-07T20:05:31.2458814Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2458823Z 2023-07-07T20:05:31.2459158Z [2023-07-07 19:59:49,928] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2459504Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2459513Z 2023-07-07T20:05:31.2459827Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2460287Z - self: 2023-07-07T20:05:31.2460641Z - node: fx.Node(unsqueeze_31[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2460833Z - aten_name: 2023-07-07T20:05:31.2461064Z - function_overloads: 2023-07-07T20:05:31.2461252Z - onnx_args: 2023-07-07T20:05:31.2461446Z - onnx_kwargs: 2023-07-07T20:05:31.2462011Z - diagnostic_context: 2023-07-07T20:05:31.2462284Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2462774Z [2023-07-07 19:59:49,982] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.2463020Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2463029Z 2023-07-07T20:05:31.2463364Z [2023-07-07 19:59:49,982] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2463704Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2463712Z 2023-07-07T20:05:31.2464048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2464514Z - self: 2023-07-07T20:05:31.2464885Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2465116Z - aten_name: 2023-07-07T20:05:31.2465346Z - function_overloads: 2023-07-07T20:05:31.2465581Z - onnx_args: 2023-07-07T20:05:31.2465783Z - onnx_kwargs: 2023-07-07T20:05:31.2466308Z - diagnostic_context: 2023-07-07T20:05:31.2466658Z - Return value: 2023-07-07T20:05:31.2467148Z [2023-07-07 19:59:49,989] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.2467388Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2467731Z [2023-07-07 19:59:49,989] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2467857Z ### Exception log 2023-07-07T20:05:31.2467962Z ``` 2023-07-07T20:05:31.2468126Z Traceback (most recent call last): 2023-07-07T20:05:31.2468137Z 2023-07-07T20:05:31.2468725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2468923Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2468934Z 2023-07-07T20:05:31.2469391Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2469548Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2469556Z 2023-07-07T20:05:31.2470114Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2470273Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2470281Z 2023-07-07T20:05:31.2470733Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2470969Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2470980Z 2023-07-07T20:05:31.2471465Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2471696Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2471706Z 2023-07-07T20:05:31.2472287Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2472406Z result = op.Conv( 2023-07-07T20:05:31.2472414Z 2023-07-07T20:05:31.2472909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2473024Z return op( 2023-07-07T20:05:31.2473032Z 2023-07-07T20:05:31.2473488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2473704Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2473712Z 2023-07-07T20:05:31.2474198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2474423Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2474434Z 2023-07-07T20:05:31.2474975Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2475193Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2475201Z 2023-07-07T20:05:31.2475659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2475956Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2475966Z 2023-07-07T20:05:31.2476441Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2476597Z node.attribute.extend( 2023-07-07T20:05:31.2476606Z 2023-07-07T20:05:31.2477116Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2477268Z make_attribute(key, value) 2023-07-07T20:05:31.2477276Z 2023-07-07T20:05:31.2477771Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2477901Z raise ValueError( 2023-07-07T20:05:31.2477909Z 2023-07-07T20:05:31.2478209Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2478218Z 2023-07-07T20:05:31.2478316Z ``` 2023-07-07T20:05:31.2478511Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2479042Z - diagnostic_context: 2023-07-07T20:05:31.2479415Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2479775Z - symbolic_fn: 2023-07-07T20:05:31.2479977Z - torch_args: 2023-07-07T20:05:31.2480186Z - torch_kwargs: 2023-07-07T20:05:31.2480411Z - Return value: 2023-07-07T20:05:31.2480945Z [2023-07-07 19:59:49,993] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_8]. 2023-07-07T20:05:31.2481215Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2481225Z 2023-07-07T20:05:31.2481559Z [2023-07-07 19:59:49,993] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2481905Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2481916Z 2023-07-07T20:05:31.2482229Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2482693Z - self: 2023-07-07T20:05:31.2483109Z - node: fx.Node(convert_element_type_8[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2483308Z - aten_name: 2023-07-07T20:05:31.2483535Z - function_overloads: 2023-07-07T20:05:31.2483720Z - onnx_args: 2023-07-07T20:05:31.2483920Z - onnx_kwargs: 2023-07-07T20:05:31.2485315Z - diagnostic_context: 2023-07-07T20:05:31.2485691Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2486236Z [2023-07-07 19:59:49,995] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_9]. 2023-07-07T20:05:31.2486508Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2486519Z 2023-07-07T20:05:31.2486864Z [2023-07-07 19:59:49,995] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2487216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2487228Z 2023-07-07T20:05:31.2487650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2488114Z - self: 2023-07-07T20:05:31.2488531Z - node: fx.Node(convert_element_type_9[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2488727Z - aten_name: 2023-07-07T20:05:31.2488954Z - function_overloads: 2023-07-07T20:05:31.2489152Z - onnx_args: 2023-07-07T20:05:31.2489352Z - onnx_kwargs: 2023-07-07T20:05:31.2489883Z - diagnostic_context: 2023-07-07T20:05:31.2490241Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2490678Z [2023-07-07 19:59:50,001] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_4]. 2023-07-07T20:05:31.2490953Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2491272Z [2023-07-07 19:59:50,001] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2491448Z ### Exception log 2023-07-07T20:05:31.2491552Z ``` 2023-07-07T20:05:31.2491716Z Traceback (most recent call last): 2023-07-07T20:05:31.2491725Z 2023-07-07T20:05:31.2492307Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2492455Z torch.testing.assert_close( 2023-07-07T20:05:31.2492463Z 2023-07-07T20:05:31.2492958Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2493119Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2493131Z 2023-07-07T20:05:31.2493400Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2493408Z 2023-07-07T20:05:31.2493563Z Mismatched elements: 24 / 64 (37.5%) 2023-07-07T20:05:31.2493800Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.2494031Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2494043Z 2023-07-07T20:05:31.2494146Z ``` 2023-07-07T20:05:31.2494352Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2494875Z - diagnostic_context: 2023-07-07T20:05:31.2495186Z - node: fx.Node(sqrt_4[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2495430Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2495628Z - torch_args: 2023-07-07T20:05:31.2495833Z - torch_kwargs: 2023-07-07T20:05:31.2496059Z - Return value: 2023-07-07T20:05:31.2496508Z [2023-07-07 19:59:50,004] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_4]. 2023-07-07T20:05:31.2496734Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2496758Z 2023-07-07T20:05:31.2497084Z [2023-07-07 19:59:50,004] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2497431Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2497442Z 2023-07-07T20:05:31.2497754Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2498220Z - self: 2023-07-07T20:05:31.2498543Z - node: fx.Node(tensor_int_4[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2498738Z - aten_name: 2023-07-07T20:05:31.2498961Z - function_overloads: 2023-07-07T20:05:31.2499150Z - onnx_args: 2023-07-07T20:05:31.2499350Z - onnx_kwargs: 2023-07-07T20:05:31.2499870Z - diagnostic_context: 2023-07-07T20:05:31.2500189Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2500664Z [2023-07-07 19:59:50,016] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_32]. 2023-07-07T20:05:31.2500910Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2500919Z 2023-07-07T20:05:31.2501262Z [2023-07-07 19:59:50,016] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2501607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2501617Z 2023-07-07T20:05:31.2501930Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2502417Z - self: 2023-07-07T20:05:31.2502778Z - node: fx.Node(unsqueeze_32[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2502974Z - aten_name: 2023-07-07T20:05:31.2503234Z - function_overloads: 2023-07-07T20:05:31.2503431Z - onnx_args: 2023-07-07T20:05:31.2503631Z - onnx_kwargs: 2023-07-07T20:05:31.2504202Z - diagnostic_context: 2023-07-07T20:05:31.2504457Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2504934Z [2023-07-07 19:59:50,018] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_33]. 2023-07-07T20:05:31.2505174Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2505182Z 2023-07-07T20:05:31.2505520Z [2023-07-07 19:59:50,018] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2505869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2505878Z 2023-07-07T20:05:31.2506194Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2506664Z - self: 2023-07-07T20:05:31.2507015Z - node: fx.Node(unsqueeze_33[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2507211Z - aten_name: 2023-07-07T20:05:31.2507419Z - function_overloads: 2023-07-07T20:05:31.2507623Z - onnx_args: 2023-07-07T20:05:31.2507821Z - onnx_kwargs: 2023-07-07T20:05:31.2508345Z - diagnostic_context: 2023-07-07T20:05:31.2508613Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2509091Z [2023-07-07 19:59:50,020] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_34]. 2023-07-07T20:05:31.2509334Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2509343Z 2023-07-07T20:05:31.2509684Z [2023-07-07 19:59:50,020] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2510025Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2510049Z 2023-07-07T20:05:31.2510349Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2510819Z - self: 2023-07-07T20:05:31.2511170Z - node: fx.Node(unsqueeze_34[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2511365Z - aten_name: 2023-07-07T20:05:31.2511597Z - function_overloads: 2023-07-07T20:05:31.2511791Z - onnx_args: 2023-07-07T20:05:31.2511991Z - onnx_kwargs: 2023-07-07T20:05:31.2512513Z - diagnostic_context: 2023-07-07T20:05:31.2512783Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2513312Z [2023-07-07 19:59:50,023] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_35]. 2023-07-07T20:05:31.2513554Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2513565Z 2023-07-07T20:05:31.2513905Z [2023-07-07 19:59:50,023] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2514250Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2514258Z 2023-07-07T20:05:31.2514571Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2515113Z - self: 2023-07-07T20:05:31.2515500Z - node: fx.Node(unsqueeze_35[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2515687Z - aten_name: 2023-07-07T20:05:31.2515918Z - function_overloads: 2023-07-07T20:05:31.2516116Z - onnx_args: 2023-07-07T20:05:31.2516357Z - onnx_kwargs: 2023-07-07T20:05:31.2516890Z - diagnostic_context: 2023-07-07T20:05:31.2517202Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2517681Z [2023-07-07 19:59:50,036] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_36]. 2023-07-07T20:05:31.2517922Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2517952Z 2023-07-07T20:05:31.2518290Z [2023-07-07 19:59:50,036] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2518634Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2518644Z 2023-07-07T20:05:31.2518960Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2519422Z - self: 2023-07-07T20:05:31.2519782Z - node: fx.Node(unsqueeze_36[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2519981Z - aten_name: 2023-07-07T20:05:31.2520211Z - function_overloads: 2023-07-07T20:05:31.2520411Z - onnx_args: 2023-07-07T20:05:31.2520596Z - onnx_kwargs: 2023-07-07T20:05:31.2521136Z - diagnostic_context: 2023-07-07T20:05:31.2521405Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2521886Z [2023-07-07 19:59:50,039] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_37]. 2023-07-07T20:05:31.2522125Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2522133Z 2023-07-07T20:05:31.2522479Z [2023-07-07 19:59:50,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2522824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2522838Z 2023-07-07T20:05:31.2523151Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2523603Z - self: 2023-07-07T20:05:31.2523956Z - node: fx.Node(unsqueeze_37[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2524150Z - aten_name: 2023-07-07T20:05:31.2524378Z - function_overloads: 2023-07-07T20:05:31.2524693Z - onnx_args: 2023-07-07T20:05:31.2524896Z - onnx_kwargs: 2023-07-07T20:05:31.2525427Z - diagnostic_context: 2023-07-07T20:05:31.2525703Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2526169Z [2023-07-07 19:59:50,073] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_38]. 2023-07-07T20:05:31.2526415Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2526503Z 2023-07-07T20:05:31.2526844Z [2023-07-07 19:59:50,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2527195Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2527203Z 2023-07-07T20:05:31.2527518Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2527983Z - self: 2023-07-07T20:05:31.2528337Z - node: fx.Node(unsqueeze_38[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2528530Z - aten_name: 2023-07-07T20:05:31.2528807Z - function_overloads: 2023-07-07T20:05:31.2529005Z - onnx_args: 2023-07-07T20:05:31.2529203Z - onnx_kwargs: 2023-07-07T20:05:31.2529733Z - diagnostic_context: 2023-07-07T20:05:31.2530054Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2530533Z [2023-07-07 19:59:50,076] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_39]. 2023-07-07T20:05:31.2530823Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2530833Z 2023-07-07T20:05:31.2531168Z [2023-07-07 19:59:50,076] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2531514Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2531523Z 2023-07-07T20:05:31.2531821Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2532288Z - self: 2023-07-07T20:05:31.2532645Z - node: fx.Node(unsqueeze_39[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2532845Z - aten_name: 2023-07-07T20:05:31.2533076Z - function_overloads: 2023-07-07T20:05:31.2533273Z - onnx_args: 2023-07-07T20:05:31.2533474Z - onnx_kwargs: 2023-07-07T20:05:31.2533988Z - diagnostic_context: 2023-07-07T20:05:31.2534260Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2534748Z [2023-07-07 19:59:50,162] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.2534998Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2535006Z 2023-07-07T20:05:31.2535344Z [2023-07-07 19:59:50,162] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2535696Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2535705Z 2023-07-07T20:05:31.2536021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2536484Z - self: 2023-07-07T20:05:31.2536854Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2537035Z - aten_name: 2023-07-07T20:05:31.2537265Z - function_overloads: 2023-07-07T20:05:31.2537459Z - onnx_args: 2023-07-07T20:05:31.2537657Z - onnx_kwargs: 2023-07-07T20:05:31.2538186Z - diagnostic_context: 2023-07-07T20:05:31.2538557Z - Return value: 2023-07-07T20:05:31.2539052Z [2023-07-07 19:59:50,179] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.2539295Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2539673Z [2023-07-07 19:59:50,179] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2539794Z ### Exception log 2023-07-07T20:05:31.2539897Z ``` 2023-07-07T20:05:31.2540065Z Traceback (most recent call last): 2023-07-07T20:05:31.2540073Z 2023-07-07T20:05:31.2540652Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2540855Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2540866Z 2023-07-07T20:05:31.2541320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2541480Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2541489Z 2023-07-07T20:05:31.2542114Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2542279Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2542319Z 2023-07-07T20:05:31.2542775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2543006Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2543050Z 2023-07-07T20:05:31.2543531Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2543764Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2543773Z 2023-07-07T20:05:31.2544348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2544478Z result = op.Conv( 2023-07-07T20:05:31.2544488Z 2023-07-07T20:05:31.2544984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2545101Z return op( 2023-07-07T20:05:31.2545113Z 2023-07-07T20:05:31.2545552Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2545772Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2545785Z 2023-07-07T20:05:31.2546232Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2546455Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2546464Z 2023-07-07T20:05:31.2546923Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2547134Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2547142Z 2023-07-07T20:05:31.2547617Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2547914Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2547926Z 2023-07-07T20:05:31.2548369Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2548522Z node.attribute.extend( 2023-07-07T20:05:31.2548533Z 2023-07-07T20:05:31.2548966Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2549117Z make_attribute(key, value) 2023-07-07T20:05:31.2549125Z 2023-07-07T20:05:31.2549580Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2549715Z raise ValueError( 2023-07-07T20:05:31.2549723Z 2023-07-07T20:05:31.2550020Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2550027Z 2023-07-07T20:05:31.2550130Z ``` 2023-07-07T20:05:31.2550336Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2550866Z - diagnostic_context: 2023-07-07T20:05:31.2551273Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2551626Z - symbolic_fn: 2023-07-07T20:05:31.2551836Z - torch_args: 2023-07-07T20:05:31.2552035Z - torch_kwargs: 2023-07-07T20:05:31.2552257Z - Return value: 2023-07-07T20:05:31.2552799Z [2023-07-07 19:59:50,184] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_10]. 2023-07-07T20:05:31.2553070Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2553079Z 2023-07-07T20:05:31.2553415Z [2023-07-07 19:59:50,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2553805Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2553815Z 2023-07-07T20:05:31.2554156Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2554681Z - self: 2023-07-07T20:05:31.2555142Z - node: fx.Node(convert_element_type_10[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2555336Z - aten_name: 2023-07-07T20:05:31.2555563Z - function_overloads: 2023-07-07T20:05:31.2555761Z - onnx_args: 2023-07-07T20:05:31.2555963Z - onnx_kwargs: 2023-07-07T20:05:31.2556493Z - diagnostic_context: 2023-07-07T20:05:31.2556803Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2557359Z [2023-07-07 19:59:50,188] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_11]. 2023-07-07T20:05:31.2557630Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2557642Z 2023-07-07T20:05:31.2557978Z [2023-07-07 19:59:50,188] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2558327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2558336Z 2023-07-07T20:05:31.2558650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2559118Z - self: 2023-07-07T20:05:31.2559540Z - node: fx.Node(convert_element_type_11[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2559730Z - aten_name: 2023-07-07T20:05:31.2559946Z - function_overloads: 2023-07-07T20:05:31.2560147Z - onnx_args: 2023-07-07T20:05:31.2560350Z - onnx_kwargs: 2023-07-07T20:05:31.2560881Z - diagnostic_context: 2023-07-07T20:05:31.2561203Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2561638Z [2023-07-07 19:59:50,213] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_5]. 2023-07-07T20:05:31.2561865Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2562170Z [2023-07-07 19:59:50,213] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2562294Z ### Exception log 2023-07-07T20:05:31.2562392Z ``` 2023-07-07T20:05:31.2562556Z Traceback (most recent call last): 2023-07-07T20:05:31.2562564Z 2023-07-07T20:05:31.2563145Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2563315Z torch.testing.assert_close( 2023-07-07T20:05:31.2563323Z 2023-07-07T20:05:31.2563820Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2563985Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2564042Z 2023-07-07T20:05:31.2564316Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2564327Z 2023-07-07T20:05:31.2564564Z Mismatched elements: 67 / 128 (52.3%) 2023-07-07T20:05:31.2564803Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.2565034Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2565042Z 2023-07-07T20:05:31.2565145Z ``` 2023-07-07T20:05:31.2565350Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2565890Z - diagnostic_context: 2023-07-07T20:05:31.2566202Z - node: fx.Node(sqrt_5[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2566511Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2566700Z - torch_args: 2023-07-07T20:05:31.2566905Z - torch_kwargs: 2023-07-07T20:05:31.2567173Z - Return value: 2023-07-07T20:05:31.2567618Z [2023-07-07 19:59:50,217] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_5]. 2023-07-07T20:05:31.2567914Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2567923Z 2023-07-07T20:05:31.2568261Z [2023-07-07 19:59:50,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2568608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2568616Z 2023-07-07T20:05:31.2568936Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2569393Z - self: 2023-07-07T20:05:31.2569715Z - node: fx.Node(tensor_int_5[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2569907Z - aten_name: 2023-07-07T20:05:31.2570134Z - function_overloads: 2023-07-07T20:05:31.2570335Z - onnx_args: 2023-07-07T20:05:31.2570537Z - onnx_kwargs: 2023-07-07T20:05:31.2571061Z - diagnostic_context: 2023-07-07T20:05:31.2571322Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2571803Z [2023-07-07 19:59:50,252] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_40]. 2023-07-07T20:05:31.2572046Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2572055Z 2023-07-07T20:05:31.2572389Z [2023-07-07 19:59:50,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2572742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2572751Z 2023-07-07T20:05:31.2573065Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2573570Z - self: 2023-07-07T20:05:31.2573922Z - node: fx.Node(unsqueeze_40[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2574119Z - aten_name: 2023-07-07T20:05:31.2574334Z - function_overloads: 2023-07-07T20:05:31.2574529Z - onnx_args: 2023-07-07T20:05:31.2574726Z - onnx_kwargs: 2023-07-07T20:05:31.2575255Z - diagnostic_context: 2023-07-07T20:05:31.2575527Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2576003Z [2023-07-07 19:59:50,255] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_41]. 2023-07-07T20:05:31.2576247Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2576256Z 2023-07-07T20:05:31.2576596Z [2023-07-07 19:59:50,255] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2576995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2577019Z 2023-07-07T20:05:31.2577321Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2577789Z - self: 2023-07-07T20:05:31.2578145Z - node: fx.Node(unsqueeze_41[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2578339Z - aten_name: 2023-07-07T20:05:31.2578565Z - function_overloads: 2023-07-07T20:05:31.2578760Z - onnx_args: 2023-07-07T20:05:31.2578955Z - onnx_kwargs: 2023-07-07T20:05:31.2579505Z - diagnostic_context: 2023-07-07T20:05:31.2579775Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2580249Z [2023-07-07 19:59:50,299] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_42]. 2023-07-07T20:05:31.2580525Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2580534Z 2023-07-07T20:05:31.2580912Z [2023-07-07 19:59:50,299] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2581256Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2581264Z 2023-07-07T20:05:31.2581576Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2582034Z - self: 2023-07-07T20:05:31.2582390Z - node: fx.Node(unsqueeze_42[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2582574Z - aten_name: 2023-07-07T20:05:31.2582801Z - function_overloads: 2023-07-07T20:05:31.2583000Z - onnx_args: 2023-07-07T20:05:31.2583201Z - onnx_kwargs: 2023-07-07T20:05:31.2583733Z - diagnostic_context: 2023-07-07T20:05:31.2584007Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2584490Z [2023-07-07 19:59:50,302] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_43]. 2023-07-07T20:05:31.2584715Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2584736Z 2023-07-07T20:05:31.2585062Z [2023-07-07 19:59:50,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2585403Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2585411Z 2023-07-07T20:05:31.2585726Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2586195Z - self: 2023-07-07T20:05:31.2586557Z - node: fx.Node(unsqueeze_43[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2586752Z - aten_name: 2023-07-07T20:05:31.2586980Z - function_overloads: 2023-07-07T20:05:31.2587179Z - onnx_args: 2023-07-07T20:05:31.2587366Z - onnx_kwargs: 2023-07-07T20:05:31.2587892Z - diagnostic_context: 2023-07-07T20:05:31.2588163Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2588638Z [2023-07-07 19:59:50,360] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_44]. 2023-07-07T20:05:31.2588881Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2588890Z 2023-07-07T20:05:31.2589235Z [2023-07-07 19:59:50,360] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2589585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2589596Z 2023-07-07T20:05:31.2589963Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2590418Z - self: 2023-07-07T20:05:31.2590767Z - node: fx.Node(unsqueeze_44[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2590959Z - aten_name: 2023-07-07T20:05:31.2591184Z - function_overloads: 2023-07-07T20:05:31.2591379Z - onnx_args: 2023-07-07T20:05:31.2591579Z - onnx_kwargs: 2023-07-07T20:05:31.2592108Z - diagnostic_context: 2023-07-07T20:05:31.2592381Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2592884Z [2023-07-07 19:59:50,363] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_45]. 2023-07-07T20:05:31.2593127Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2593172Z 2023-07-07T20:05:31.2593515Z [2023-07-07 19:59:50,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2593890Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2593898Z 2023-07-07T20:05:31.2594210Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2594742Z - self: 2023-07-07T20:05:31.2595098Z - node: fx.Node(unsqueeze_45[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2595294Z - aten_name: 2023-07-07T20:05:31.2595507Z - function_overloads: 2023-07-07T20:05:31.2595707Z - onnx_args: 2023-07-07T20:05:31.2595908Z - onnx_kwargs: 2023-07-07T20:05:31.2596433Z - diagnostic_context: 2023-07-07T20:05:31.2596707Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2597186Z [2023-07-07 19:59:50,384] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_46]. 2023-07-07T20:05:31.2597431Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2597441Z 2023-07-07T20:05:31.2597782Z [2023-07-07 19:59:50,384] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2598113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2598135Z 2023-07-07T20:05:31.2598436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2598905Z - self: 2023-07-07T20:05:31.2599260Z - node: fx.Node(unsqueeze_46[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2599457Z - aten_name: 2023-07-07T20:05:31.2599685Z - function_overloads: 2023-07-07T20:05:31.2599883Z - onnx_args: 2023-07-07T20:05:31.2600083Z - onnx_kwargs: 2023-07-07T20:05:31.2600606Z - diagnostic_context: 2023-07-07T20:05:31.2600875Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2601354Z [2023-07-07 19:59:50,386] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_47]. 2023-07-07T20:05:31.2601594Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2601605Z 2023-07-07T20:05:31.2601945Z [2023-07-07 19:59:50,387] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2602291Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2602299Z 2023-07-07T20:05:31.2602607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2603135Z - self: 2023-07-07T20:05:31.2603497Z - node: fx.Node(unsqueeze_47[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2603726Z - aten_name: 2023-07-07T20:05:31.2603951Z - function_overloads: 2023-07-07T20:05:31.2604146Z - onnx_args: 2023-07-07T20:05:31.2604346Z - onnx_kwargs: 2023-07-07T20:05:31.2604975Z - diagnostic_context: 2023-07-07T20:05:31.2605245Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2605801Z [2023-07-07 19:59:50,483] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.2606037Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2606060Z 2023-07-07T20:05:31.2606386Z [2023-07-07 19:59:50,483] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2606782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2606834Z 2023-07-07T20:05:31.2607149Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2607617Z - self: 2023-07-07T20:05:31.2607987Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2608182Z - aten_name: 2023-07-07T20:05:31.2608412Z - function_overloads: 2023-07-07T20:05:31.2608609Z - onnx_args: 2023-07-07T20:05:31.2608795Z - onnx_kwargs: 2023-07-07T20:05:31.2609328Z - diagnostic_context: 2023-07-07T20:05:31.2609697Z - Return value: 2023-07-07T20:05:31.2610189Z [2023-07-07 19:59:50,499] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.2610435Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2610785Z [2023-07-07 19:59:50,500] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2610910Z ### Exception log 2023-07-07T20:05:31.2611010Z ``` 2023-07-07T20:05:31.2611171Z Traceback (most recent call last): 2023-07-07T20:05:31.2611180Z 2023-07-07T20:05:31.2611768Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2611973Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2611982Z 2023-07-07T20:05:31.2612439Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2612598Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2612609Z 2023-07-07T20:05:31.2613165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2613328Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2613337Z 2023-07-07T20:05:31.2613784Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2614016Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2614025Z 2023-07-07T20:05:31.2614488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2614718Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2614726Z 2023-07-07T20:05:31.2615307Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2615439Z result = op.Conv( 2023-07-07T20:05:31.2615448Z 2023-07-07T20:05:31.2615999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2616119Z return op( 2023-07-07T20:05:31.2616127Z 2023-07-07T20:05:31.2616573Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2616791Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2616800Z 2023-07-07T20:05:31.2617253Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2617477Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2617485Z 2023-07-07T20:05:31.2617980Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2618197Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2618242Z 2023-07-07T20:05:31.2618714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2619016Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2619058Z 2023-07-07T20:05:31.2619498Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2619652Z node.attribute.extend( 2023-07-07T20:05:31.2619661Z 2023-07-07T20:05:31.2620101Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2620255Z make_attribute(key, value) 2023-07-07T20:05:31.2620263Z 2023-07-07T20:05:31.2620718Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2620838Z raise ValueError( 2023-07-07T20:05:31.2620859Z 2023-07-07T20:05:31.2621147Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2621158Z 2023-07-07T20:05:31.2621264Z ``` 2023-07-07T20:05:31.2621470Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2622004Z - diagnostic_context: 2023-07-07T20:05:31.2622375Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2622741Z - symbolic_fn: 2023-07-07T20:05:31.2622947Z - torch_args: 2023-07-07T20:05:31.2623137Z - torch_kwargs: 2023-07-07T20:05:31.2623358Z - Return value: 2023-07-07T20:05:31.2623909Z [2023-07-07 19:59:50,516] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_12]. 2023-07-07T20:05:31.2624179Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2624187Z 2023-07-07T20:05:31.2624537Z [2023-07-07 19:59:50,517] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2624890Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2624903Z 2023-07-07T20:05:31.2625216Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2625689Z - self: 2023-07-07T20:05:31.2626111Z - node: fx.Node(convert_element_type_12[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2626293Z - aten_name: 2023-07-07T20:05:31.2626522Z - function_overloads: 2023-07-07T20:05:31.2626718Z - onnx_args: 2023-07-07T20:05:31.2626920Z - onnx_kwargs: 2023-07-07T20:05:31.2627451Z - diagnostic_context: 2023-07-07T20:05:31.2627769Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2628352Z [2023-07-07 19:59:50,521] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_13]. 2023-07-07T20:05:31.2628630Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2628639Z 2023-07-07T20:05:31.2628966Z [2023-07-07 19:59:50,521] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2629314Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2629325Z 2023-07-07T20:05:31.2629636Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2630135Z - self: 2023-07-07T20:05:31.2630559Z - node: fx.Node(convert_element_type_13[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2630752Z - aten_name: 2023-07-07T20:05:31.2631017Z - function_overloads: 2023-07-07T20:05:31.2631220Z - onnx_args: 2023-07-07T20:05:31.2631407Z - onnx_kwargs: 2023-07-07T20:05:31.2631974Z - diagnostic_context: 2023-07-07T20:05:31.2632292Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2632723Z [2023-07-07 19:59:50,536] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_6]. 2023-07-07T20:05:31.2632949Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2633267Z [2023-07-07 19:59:50,536] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2633393Z ### Exception log 2023-07-07T20:05:31.2633500Z ``` 2023-07-07T20:05:31.2633651Z Traceback (most recent call last): 2023-07-07T20:05:31.2633660Z 2023-07-07T20:05:31.2634245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2634411Z torch.testing.assert_close( 2023-07-07T20:05:31.2634421Z 2023-07-07T20:05:31.2634979Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2635144Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2635153Z 2023-07-07T20:05:31.2635421Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2635430Z 2023-07-07T20:05:31.2635589Z Mismatched elements: 57 / 128 (44.5%) 2023-07-07T20:05:31.2635819Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.2636050Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2636059Z 2023-07-07T20:05:31.2636149Z ``` 2023-07-07T20:05:31.2636359Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2636885Z - diagnostic_context: 2023-07-07T20:05:31.2637200Z - node: fx.Node(sqrt_6[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2637453Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2637654Z - torch_args: 2023-07-07T20:05:31.2637862Z - torch_kwargs: 2023-07-07T20:05:31.2638068Z - Return value: 2023-07-07T20:05:31.2638517Z [2023-07-07 19:59:50,540] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_6]. 2023-07-07T20:05:31.2638758Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2638767Z 2023-07-07T20:05:31.2639109Z [2023-07-07 19:59:50,548] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2639457Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2639469Z 2023-07-07T20:05:31.2639786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2640355Z - self: 2023-07-07T20:05:31.2640678Z - node: fx.Node(tensor_int_6[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2640875Z - aten_name: 2023-07-07T20:05:31.2641087Z - function_overloads: 2023-07-07T20:05:31.2641284Z - onnx_args: 2023-07-07T20:05:31.2641484Z - onnx_kwargs: 2023-07-07T20:05:31.2642008Z - diagnostic_context: 2023-07-07T20:05:31.2642282Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2642769Z [2023-07-07 19:59:50,561] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_48]. 2023-07-07T20:05:31.2643051Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2643061Z 2023-07-07T20:05:31.2643402Z [2023-07-07 19:59:50,561] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2643776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2643785Z 2023-07-07T20:05:31.2644104Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2644701Z - self: 2023-07-07T20:05:31.2645060Z - node: fx.Node(unsqueeze_48[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2645256Z - aten_name: 2023-07-07T20:05:31.2645485Z - function_overloads: 2023-07-07T20:05:31.2645682Z - onnx_args: 2023-07-07T20:05:31.2645884Z - onnx_kwargs: 2023-07-07T20:05:31.2646394Z - diagnostic_context: 2023-07-07T20:05:31.2646664Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2647141Z [2023-07-07 19:59:50,564] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_49]. 2023-07-07T20:05:31.2647390Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2647398Z 2023-07-07T20:05:31.2647738Z [2023-07-07 19:59:50,564] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2648089Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2648098Z 2023-07-07T20:05:31.2648416Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2648879Z - self: 2023-07-07T20:05:31.2649214Z - node: fx.Node(unsqueeze_49[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2649409Z - aten_name: 2023-07-07T20:05:31.2649641Z - function_overloads: 2023-07-07T20:05:31.2649836Z - onnx_args: 2023-07-07T20:05:31.2650039Z - onnx_kwargs: 2023-07-07T20:05:31.2650568Z - diagnostic_context: 2023-07-07T20:05:31.2650836Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2651319Z [2023-07-07 19:59:50,566] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_50]. 2023-07-07T20:05:31.2651544Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2651552Z 2023-07-07T20:05:31.2651889Z [2023-07-07 19:59:50,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2652230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2652239Z 2023-07-07T20:05:31.2652558Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2653020Z - self: 2023-07-07T20:05:31.2653371Z - node: fx.Node(unsqueeze_50[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2653652Z - aten_name: 2023-07-07T20:05:31.2653881Z - function_overloads: 2023-07-07T20:05:31.2654070Z - onnx_args: 2023-07-07T20:05:31.2654270Z - onnx_kwargs: 2023-07-07T20:05:31.2654793Z - diagnostic_context: 2023-07-07T20:05:31.2655064Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2655543Z [2023-07-07 19:59:50,569] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_51]. 2023-07-07T20:05:31.2655783Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2655795Z 2023-07-07T20:05:31.2656176Z [2023-07-07 19:59:50,569] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2656524Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2656577Z 2023-07-07T20:05:31.2656890Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2657345Z - self: 2023-07-07T20:05:31.2657763Z - node: fx.Node(unsqueeze_51[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2657958Z - aten_name: 2023-07-07T20:05:31.2658181Z - function_overloads: 2023-07-07T20:05:31.2658379Z - onnx_args: 2023-07-07T20:05:31.2658582Z - onnx_kwargs: 2023-07-07T20:05:31.2659110Z - diagnostic_context: 2023-07-07T20:05:31.2659367Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2659850Z [2023-07-07 19:59:50,602] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_52]. 2023-07-07T20:05:31.2660094Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2660106Z 2023-07-07T20:05:31.2660452Z [2023-07-07 19:59:50,602] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2660798Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2660810Z 2023-07-07T20:05:31.2661122Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2661590Z - self: 2023-07-07T20:05:31.2661940Z - node: fx.Node(unsqueeze_52[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2662136Z - aten_name: 2023-07-07T20:05:31.2662352Z - function_overloads: 2023-07-07T20:05:31.2662548Z - onnx_args: 2023-07-07T20:05:31.2662757Z - onnx_kwargs: 2023-07-07T20:05:31.2663283Z - diagnostic_context: 2023-07-07T20:05:31.2663557Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2664039Z [2023-07-07 19:59:50,605] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_53]. 2023-07-07T20:05:31.2664284Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2664293Z 2023-07-07T20:05:31.2664632Z [2023-07-07 19:59:50,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2664967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2664988Z 2023-07-07T20:05:31.2665292Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2665757Z - self: 2023-07-07T20:05:31.2666105Z - node: fx.Node(unsqueeze_53[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2666304Z - aten_name: 2023-07-07T20:05:31.2666534Z - function_overloads: 2023-07-07T20:05:31.2666777Z - onnx_args: 2023-07-07T20:05:31.2666979Z - onnx_kwargs: 2023-07-07T20:05:31.2667499Z - diagnostic_context: 2023-07-07T20:05:31.2667768Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2668247Z [2023-07-07 19:59:50,613] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_54]. 2023-07-07T20:05:31.2668484Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2668492Z 2023-07-07T20:05:31.2668833Z [2023-07-07 19:59:50,613] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2669212Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2669224Z 2023-07-07T20:05:31.2669537Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2670030Z - self: 2023-07-07T20:05:31.2670391Z - node: fx.Node(unsqueeze_54[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2670603Z - aten_name: 2023-07-07T20:05:31.2670830Z - function_overloads: 2023-07-07T20:05:31.2671030Z - onnx_args: 2023-07-07T20:05:31.2671234Z - onnx_kwargs: 2023-07-07T20:05:31.2671764Z - diagnostic_context: 2023-07-07T20:05:31.2672036Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2672521Z [2023-07-07 19:59:50,616] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_55]. 2023-07-07T20:05:31.2672749Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2672772Z 2023-07-07T20:05:31.2673096Z [2023-07-07 19:59:50,616] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2673446Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2673457Z 2023-07-07T20:05:31.2673772Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2674238Z - self: 2023-07-07T20:05:31.2674595Z - node: fx.Node(unsqueeze_55[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2674868Z - aten_name: 2023-07-07T20:05:31.2675097Z - function_overloads: 2023-07-07T20:05:31.2675294Z - onnx_args: 2023-07-07T20:05:31.2675482Z - onnx_kwargs: 2023-07-07T20:05:31.2676011Z - diagnostic_context: 2023-07-07T20:05:31.2676281Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2676778Z [2023-07-07 19:59:50,640] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.2677026Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2677037Z 2023-07-07T20:05:31.2677376Z [2023-07-07 19:59:50,640] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2677720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2677729Z 2023-07-07T20:05:31.2678043Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2678498Z - self: 2023-07-07T20:05:31.2678870Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2679062Z - aten_name: 2023-07-07T20:05:31.2679291Z - function_overloads: 2023-07-07T20:05:31.2679491Z - onnx_args: 2023-07-07T20:05:31.2679696Z - onnx_kwargs: 2023-07-07T20:05:31.2680265Z - diagnostic_context: 2023-07-07T20:05:31.2680637Z - Return value: 2023-07-07T20:05:31.2681118Z [2023-07-07 19:59:50,649] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.2681360Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2681705Z [2023-07-07 19:59:50,649] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2681832Z ### Exception log 2023-07-07T20:05:31.2681938Z ``` 2023-07-07T20:05:31.2682101Z Traceback (most recent call last): 2023-07-07T20:05:31.2682113Z 2023-07-07T20:05:31.2682731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2682939Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2682982Z 2023-07-07T20:05:31.2683428Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2683620Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2683629Z 2023-07-07T20:05:31.2684185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2684347Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2684356Z 2023-07-07T20:05:31.2684917Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2685150Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2685158Z 2023-07-07T20:05:31.2685643Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2685873Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2685885Z 2023-07-07T20:05:31.2686459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2686592Z result = op.Conv( 2023-07-07T20:05:31.2686600Z 2023-07-07T20:05:31.2687083Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2687198Z return op( 2023-07-07T20:05:31.2687206Z 2023-07-07T20:05:31.2687662Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2687876Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2687885Z 2023-07-07T20:05:31.2688348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2688566Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2688577Z 2023-07-07T20:05:31.2689035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2689244Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2689255Z 2023-07-07T20:05:31.2689722Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2690006Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2690028Z 2023-07-07T20:05:31.2690449Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2690605Z node.attribute.extend( 2023-07-07T20:05:31.2690613Z 2023-07-07T20:05:31.2691056Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2691206Z make_attribute(key, value) 2023-07-07T20:05:31.2691215Z 2023-07-07T20:05:31.2691743Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2691880Z raise ValueError( 2023-07-07T20:05:31.2691888Z 2023-07-07T20:05:31.2692187Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2692195Z 2023-07-07T20:05:31.2692295Z ``` 2023-07-07T20:05:31.2692501Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2693023Z - diagnostic_context: 2023-07-07T20:05:31.2693391Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2693752Z - symbolic_fn: 2023-07-07T20:05:31.2693949Z - torch_args: 2023-07-07T20:05:31.2694198Z - torch_kwargs: 2023-07-07T20:05:31.2694422Z - Return value: 2023-07-07T20:05:31.2694969Z [2023-07-07 19:59:50,654] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_14]. 2023-07-07T20:05:31.2695280Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2695344Z 2023-07-07T20:05:31.2695674Z [2023-07-07 19:59:50,654] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2696024Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2696035Z 2023-07-07T20:05:31.2696350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2696809Z - self: 2023-07-07T20:05:31.2697234Z - node: fx.Node(convert_element_type_14[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2697423Z - aten_name: 2023-07-07T20:05:31.2697650Z - function_overloads: 2023-07-07T20:05:31.2697845Z - onnx_args: 2023-07-07T20:05:31.2698036Z - onnx_kwargs: 2023-07-07T20:05:31.2698567Z - diagnostic_context: 2023-07-07T20:05:31.2698888Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2699435Z [2023-07-07 19:59:50,657] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_15]. 2023-07-07T20:05:31.2699703Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2699712Z 2023-07-07T20:05:31.2700056Z [2023-07-07 19:59:50,657] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2700409Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2700418Z 2023-07-07T20:05:31.2700735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2701209Z - self: 2023-07-07T20:05:31.2701623Z - node: fx.Node(convert_element_type_15[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2701818Z - aten_name: 2023-07-07T20:05:31.2702045Z - function_overloads: 2023-07-07T20:05:31.2702251Z - onnx_args: 2023-07-07T20:05:31.2702452Z - onnx_kwargs: 2023-07-07T20:05:31.2702981Z - diagnostic_context: 2023-07-07T20:05:31.2703299Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2703723Z [2023-07-07 19:59:50,665] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_7]. 2023-07-07T20:05:31.2703954Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2704275Z [2023-07-07 19:59:50,665] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2704401Z ### Exception log 2023-07-07T20:05:31.2704510Z ``` 2023-07-07T20:05:31.2704721Z Traceback (most recent call last): 2023-07-07T20:05:31.2704730Z 2023-07-07T20:05:31.2705313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2705476Z torch.testing.assert_close( 2023-07-07T20:05:31.2705485Z 2023-07-07T20:05:31.2705968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2706124Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2706132Z 2023-07-07T20:05:31.2706403Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2706412Z 2023-07-07T20:05:31.2706570Z Mismatched elements: 67 / 128 (52.3%) 2023-07-07T20:05:31.2706851Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.2707080Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2707123Z 2023-07-07T20:05:31.2707229Z ``` 2023-07-07T20:05:31.2707438Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2707971Z - diagnostic_context: 2023-07-07T20:05:31.2708300Z - node: fx.Node(sqrt_7[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2708549Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2708753Z - torch_args: 2023-07-07T20:05:31.2708958Z - torch_kwargs: 2023-07-07T20:05:31.2709177Z - Return value: 2023-07-07T20:05:31.2709630Z [2023-07-07 19:59:50,668] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_7]. 2023-07-07T20:05:31.2709870Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2709884Z 2023-07-07T20:05:31.2710214Z [2023-07-07 19:59:50,668] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2710554Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2710571Z 2023-07-07T20:05:31.2710886Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2711358Z - self: 2023-07-07T20:05:31.2711677Z - node: fx.Node(tensor_int_7[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2711875Z - aten_name: 2023-07-07T20:05:31.2712100Z - function_overloads: 2023-07-07T20:05:31.2712300Z - onnx_args: 2023-07-07T20:05:31.2712489Z - onnx_kwargs: 2023-07-07T20:05:31.2713016Z - diagnostic_context: 2023-07-07T20:05:31.2713290Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2713773Z [2023-07-07 19:59:50,681] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_56]. 2023-07-07T20:05:31.2714022Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2714030Z 2023-07-07T20:05:31.2714371Z [2023-07-07 19:59:50,681] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2714794Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2714804Z 2023-07-07T20:05:31.2715118Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2715584Z - self: 2023-07-07T20:05:31.2715926Z - node: fx.Node(unsqueeze_56[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2716121Z - aten_name: 2023-07-07T20:05:31.2716352Z - function_overloads: 2023-07-07T20:05:31.2716548Z - onnx_args: 2023-07-07T20:05:31.2716748Z - onnx_kwargs: 2023-07-07T20:05:31.2717328Z - diagnostic_context: 2023-07-07T20:05:31.2717603Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2718067Z [2023-07-07 19:59:50,685] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_57]. 2023-07-07T20:05:31.2718310Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2718318Z 2023-07-07T20:05:31.2718655Z [2023-07-07 19:59:50,685] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2719002Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2719011Z 2023-07-07T20:05:31.2719328Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2719823Z - self: 2023-07-07T20:05:31.2720175Z - node: fx.Node(unsqueeze_57[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2720400Z - aten_name: 2023-07-07T20:05:31.2720631Z - function_overloads: 2023-07-07T20:05:31.2720815Z - onnx_args: 2023-07-07T20:05:31.2721055Z - onnx_kwargs: 2023-07-07T20:05:31.2721577Z - diagnostic_context: 2023-07-07T20:05:31.2721849Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2722327Z [2023-07-07 19:59:50,687] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_58]. 2023-07-07T20:05:31.2722568Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2722578Z 2023-07-07T20:05:31.2722919Z [2023-07-07 19:59:50,687] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2723267Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2723277Z 2023-07-07T20:05:31.2723599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2724044Z - self: 2023-07-07T20:05:31.2724488Z - node: fx.Node(unsqueeze_58[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2724694Z - aten_name: 2023-07-07T20:05:31.2724925Z - function_overloads: 2023-07-07T20:05:31.2725126Z - onnx_args: 2023-07-07T20:05:31.2725327Z - onnx_kwargs: 2023-07-07T20:05:31.2725851Z - diagnostic_context: 2023-07-07T20:05:31.2726111Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2726593Z [2023-07-07 19:59:50,690] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_59]. 2023-07-07T20:05:31.2726837Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2726849Z 2023-07-07T20:05:31.2727185Z [2023-07-07 19:59:50,690] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2727530Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2727542Z 2023-07-07T20:05:31.2727854Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2728320Z - self: 2023-07-07T20:05:31.2728673Z - node: fx.Node(unsqueeze_59[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2728868Z - aten_name: 2023-07-07T20:05:31.2729086Z - function_overloads: 2023-07-07T20:05:31.2729285Z - onnx_args: 2023-07-07T20:05:31.2729486Z - onnx_kwargs: 2023-07-07T20:05:31.2730014Z - diagnostic_context: 2023-07-07T20:05:31.2730286Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2730857Z [2023-07-07 19:59:50,706] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_60]. 2023-07-07T20:05:31.2731103Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2731112Z 2023-07-07T20:05:31.2731450Z [2023-07-07 19:59:50,706] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2731783Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2731791Z 2023-07-07T20:05:31.2732108Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2732571Z - self: 2023-07-07T20:05:31.2732973Z - node: fx.Node(unsqueeze_60[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2733174Z - aten_name: 2023-07-07T20:05:31.2733404Z - function_overloads: 2023-07-07T20:05:31.2733652Z - onnx_args: 2023-07-07T20:05:31.2733856Z - onnx_kwargs: 2023-07-07T20:05:31.2734376Z - diagnostic_context: 2023-07-07T20:05:31.2734737Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2735219Z [2023-07-07 19:59:50,717] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_61]. 2023-07-07T20:05:31.2735457Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2735467Z 2023-07-07T20:05:31.2735805Z [2023-07-07 19:59:50,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2736155Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2736163Z 2023-07-07T20:05:31.2736475Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2736951Z - self: 2023-07-07T20:05:31.2737291Z - node: fx.Node(unsqueeze_61[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2737488Z - aten_name: 2023-07-07T20:05:31.2737712Z - function_overloads: 2023-07-07T20:05:31.2737909Z - onnx_args: 2023-07-07T20:05:31.2738111Z - onnx_kwargs: 2023-07-07T20:05:31.2738642Z - diagnostic_context: 2023-07-07T20:05:31.2738907Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2739382Z [2023-07-07 19:59:50,725] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_62]. 2023-07-07T20:05:31.2739618Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2739626Z 2023-07-07T20:05:31.2739968Z [2023-07-07 19:59:50,725] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2740313Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2740322Z 2023-07-07T20:05:31.2740632Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2741095Z - self: 2023-07-07T20:05:31.2741446Z - node: fx.Node(unsqueeze_62[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2741638Z - aten_name: 2023-07-07T20:05:31.2741863Z - function_overloads: 2023-07-07T20:05:31.2742046Z - onnx_args: 2023-07-07T20:05:31.2742244Z - onnx_kwargs: 2023-07-07T20:05:31.2742773Z - diagnostic_context: 2023-07-07T20:05:31.2743042Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2743524Z [2023-07-07 19:59:50,728] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_63]. 2023-07-07T20:05:31.2743803Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2743813Z 2023-07-07T20:05:31.2744160Z [2023-07-07 19:59:50,728] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2744507Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2744515Z 2023-07-07T20:05:31.2744832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2745276Z - self: 2023-07-07T20:05:31.2745632Z - node: fx.Node(unsqueeze_63[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2745858Z - aten_name: 2023-07-07T20:05:31.2746087Z - function_overloads: 2023-07-07T20:05:31.2746279Z - onnx_args: 2023-07-07T20:05:31.2746480Z - onnx_kwargs: 2023-07-07T20:05:31.2747047Z - diagnostic_context: 2023-07-07T20:05:31.2747306Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2747842Z [2023-07-07 19:59:50,821] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.2748090Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2748099Z 2023-07-07T20:05:31.2748439Z [2023-07-07 19:59:50,821] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2748781Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2748789Z 2023-07-07T20:05:31.2749101Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2749561Z - self: 2023-07-07T20:05:31.2749936Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2750133Z - aten_name: 2023-07-07T20:05:31.2750343Z - function_overloads: 2023-07-07T20:05:31.2750544Z - onnx_args: 2023-07-07T20:05:31.2750743Z - onnx_kwargs: 2023-07-07T20:05:31.2751266Z - diagnostic_context: 2023-07-07T20:05:31.2751631Z - Return value: 2023-07-07T20:05:31.2752127Z [2023-07-07 19:59:50,871] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.2752368Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2752718Z [2023-07-07 19:59:50,871] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2752829Z ### Exception log 2023-07-07T20:05:31.2752927Z ``` 2023-07-07T20:05:31.2753091Z Traceback (most recent call last): 2023-07-07T20:05:31.2753104Z 2023-07-07T20:05:31.2753684Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2753895Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2753904Z 2023-07-07T20:05:31.2754364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2754524Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2754532Z 2023-07-07T20:05:31.2755156Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2755303Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2755325Z 2023-07-07T20:05:31.2755770Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2755999Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2756010Z 2023-07-07T20:05:31.2756544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2756778Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2756786Z 2023-07-07T20:05:31.2757374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2757505Z result = op.Conv( 2023-07-07T20:05:31.2757513Z 2023-07-07T20:05:31.2758007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2758126Z return op( 2023-07-07T20:05:31.2758133Z 2023-07-07T20:05:31.2758621Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2758822Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2758878Z 2023-07-07T20:05:31.2759320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2759543Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2759585Z 2023-07-07T20:05:31.2760039Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2760248Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2760257Z 2023-07-07T20:05:31.2760723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2761017Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2761026Z 2023-07-07T20:05:31.2761472Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2761627Z node.attribute.extend( 2023-07-07T20:05:31.2761638Z 2023-07-07T20:05:31.2762083Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2762219Z make_attribute(key, value) 2023-07-07T20:05:31.2762230Z 2023-07-07T20:05:31.2762692Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2762821Z raise ValueError( 2023-07-07T20:05:31.2762829Z 2023-07-07T20:05:31.2763130Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2763138Z 2023-07-07T20:05:31.2763242Z ``` 2023-07-07T20:05:31.2763449Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2763979Z - diagnostic_context: 2023-07-07T20:05:31.2764348Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2764862Z - symbolic_fn: 2023-07-07T20:05:31.2765053Z - torch_args: 2023-07-07T20:05:31.2765261Z - torch_kwargs: 2023-07-07T20:05:31.2765485Z - Return value: 2023-07-07T20:05:31.2766037Z [2023-07-07 19:59:50,877] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_16]. 2023-07-07T20:05:31.2766306Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2766317Z 2023-07-07T20:05:31.2766651Z [2023-07-07 19:59:50,877] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2766997Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2767008Z 2023-07-07T20:05:31.2767323Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2767776Z - self: 2023-07-07T20:05:31.2768274Z - node: fx.Node(convert_element_type_16[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2768470Z - aten_name: 2023-07-07T20:05:31.2768699Z - function_overloads: 2023-07-07T20:05:31.2768900Z - onnx_args: 2023-07-07T20:05:31.2769108Z - onnx_kwargs: 2023-07-07T20:05:31.2769632Z - diagnostic_context: 2023-07-07T20:05:31.2769945Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2770476Z [2023-07-07 19:59:50,880] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_17]. 2023-07-07T20:05:31.2770747Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2770800Z 2023-07-07T20:05:31.2771139Z [2023-07-07 19:59:50,880] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2771485Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2771541Z 2023-07-07T20:05:31.2771857Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2772368Z - self: 2023-07-07T20:05:31.2772794Z - node: fx.Node(convert_element_type_17[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2772985Z - aten_name: 2023-07-07T20:05:31.2773212Z - function_overloads: 2023-07-07T20:05:31.2773401Z - onnx_args: 2023-07-07T20:05:31.2773599Z - onnx_kwargs: 2023-07-07T20:05:31.2774128Z - diagnostic_context: 2023-07-07T20:05:31.2774447Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2774878Z [2023-07-07 19:59:50,888] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_8]. 2023-07-07T20:05:31.2775105Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2775424Z [2023-07-07 19:59:50,889] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2775539Z ### Exception log 2023-07-07T20:05:31.2775642Z ``` 2023-07-07T20:05:31.2775803Z Traceback (most recent call last): 2023-07-07T20:05:31.2775813Z 2023-07-07T20:05:31.2776395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2776560Z torch.testing.assert_close( 2023-07-07T20:05:31.2776568Z 2023-07-07T20:05:31.2777062Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2777221Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2777229Z 2023-07-07T20:05:31.2777501Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2777509Z 2023-07-07T20:05:31.2777667Z Mismatched elements: 66 / 128 (51.6%) 2023-07-07T20:05:31.2777885Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.2778114Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2778125Z 2023-07-07T20:05:31.2778227Z ``` 2023-07-07T20:05:31.2778436Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2778963Z - diagnostic_context: 2023-07-07T20:05:31.2779269Z - node: fx.Node(sqrt_8[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2779511Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2779697Z - torch_args: 2023-07-07T20:05:31.2779902Z - torch_kwargs: 2023-07-07T20:05:31.2780122Z - Return value: 2023-07-07T20:05:31.2780569Z [2023-07-07 19:59:50,892] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_8]. 2023-07-07T20:05:31.2780816Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2780872Z 2023-07-07T20:05:31.2781211Z [2023-07-07 19:59:50,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2781562Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2781571Z 2023-07-07T20:05:31.2781890Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2782352Z - self: 2023-07-07T20:05:31.2782657Z - node: fx.Node(tensor_int_8[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2782847Z - aten_name: 2023-07-07T20:05:31.2783073Z - function_overloads: 2023-07-07T20:05:31.2783306Z - onnx_args: 2023-07-07T20:05:31.2783507Z - onnx_kwargs: 2023-07-07T20:05:31.2784039Z - diagnostic_context: 2023-07-07T20:05:31.2784350Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2784822Z [2023-07-07 19:59:50,906] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_64]. 2023-07-07T20:05:31.2785102Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2785110Z 2023-07-07T20:05:31.2785450Z [2023-07-07 19:59:50,906] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2785793Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2785802Z 2023-07-07T20:05:31.2786114Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2786585Z - self: 2023-07-07T20:05:31.2786936Z - node: fx.Node(unsqueeze_64[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2787136Z - aten_name: 2023-07-07T20:05:31.2787368Z - function_overloads: 2023-07-07T20:05:31.2787550Z - onnx_args: 2023-07-07T20:05:31.2787757Z - onnx_kwargs: 2023-07-07T20:05:31.2788279Z - diagnostic_context: 2023-07-07T20:05:31.2788549Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2789027Z [2023-07-07 19:59:50,909] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_65]. 2023-07-07T20:05:31.2789267Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2789276Z 2023-07-07T20:05:31.2789615Z [2023-07-07 19:59:50,909] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2789966Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2789975Z 2023-07-07T20:05:31.2790278Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2790747Z - self: 2023-07-07T20:05:31.2791108Z - node: fx.Node(unsqueeze_65[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2791300Z - aten_name: 2023-07-07T20:05:31.2791526Z - function_overloads: 2023-07-07T20:05:31.2791725Z - onnx_args: 2023-07-07T20:05:31.2791931Z - onnx_kwargs: 2023-07-07T20:05:31.2792456Z - diagnostic_context: 2023-07-07T20:05:31.2792711Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2793191Z [2023-07-07 19:59:50,911] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_66]. 2023-07-07T20:05:31.2793432Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2793443Z 2023-07-07T20:05:31.2793785Z [2023-07-07 19:59:50,911] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2794168Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2794182Z 2023-07-07T20:05:31.2794499Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2795038Z - self: 2023-07-07T20:05:31.2795396Z - node: fx.Node(unsqueeze_66[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2795590Z - aten_name: 2023-07-07T20:05:31.2795802Z - function_overloads: 2023-07-07T20:05:31.2796003Z - onnx_args: 2023-07-07T20:05:31.2796205Z - onnx_kwargs: 2023-07-07T20:05:31.2796800Z - diagnostic_context: 2023-07-07T20:05:31.2797072Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2797590Z [2023-07-07 19:59:50,914] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_67]. 2023-07-07T20:05:31.2797833Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2797874Z 2023-07-07T20:05:31.2798201Z [2023-07-07 19:59:50,914] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2798546Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2798555Z 2023-07-07T20:05:31.2798865Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2799338Z - self: 2023-07-07T20:05:31.2799694Z - node: fx.Node(unsqueeze_67[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2799886Z - aten_name: 2023-07-07T20:05:31.2800111Z - function_overloads: 2023-07-07T20:05:31.2800313Z - onnx_args: 2023-07-07T20:05:31.2800502Z - onnx_kwargs: 2023-07-07T20:05:31.2801030Z - diagnostic_context: 2023-07-07T20:05:31.2801305Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2801779Z [2023-07-07 19:59:50,950] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_68]. 2023-07-07T20:05:31.2802021Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2802030Z 2023-07-07T20:05:31.2802371Z [2023-07-07 19:59:50,950] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2802712Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2802724Z 2023-07-07T20:05:31.2803037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2803501Z - self: 2023-07-07T20:05:31.2803850Z - node: fx.Node(unsqueeze_68[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2804046Z - aten_name: 2023-07-07T20:05:31.2804271Z - function_overloads: 2023-07-07T20:05:31.2804566Z - onnx_args: 2023-07-07T20:05:31.2804778Z - onnx_kwargs: 2023-07-07T20:05:31.2805309Z - diagnostic_context: 2023-07-07T20:05:31.2805582Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2806065Z [2023-07-07 19:59:50,953] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_69]. 2023-07-07T20:05:31.2806293Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2806306Z 2023-07-07T20:05:31.2806645Z [2023-07-07 19:59:50,953] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2807062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2807073Z 2023-07-07T20:05:31.2807394Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2807869Z - self: 2023-07-07T20:05:31.2808219Z - node: fx.Node(unsqueeze_69[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2808414Z - aten_name: 2023-07-07T20:05:31.2808640Z - function_overloads: 2023-07-07T20:05:31.2808824Z - onnx_args: 2023-07-07T20:05:31.2809024Z - onnx_kwargs: 2023-07-07T20:05:31.2809552Z - diagnostic_context: 2023-07-07T20:05:31.2809862Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2810342Z [2023-07-07 19:59:50,960] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_70]. 2023-07-07T20:05:31.2810629Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2810638Z 2023-07-07T20:05:31.2810979Z [2023-07-07 19:59:50,960] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2811365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2811373Z 2023-07-07T20:05:31.2811688Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2812130Z - self: 2023-07-07T20:05:31.2812483Z - node: fx.Node(unsqueeze_70[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2812677Z - aten_name: 2023-07-07T20:05:31.2812905Z - function_overloads: 2023-07-07T20:05:31.2813116Z - onnx_args: 2023-07-07T20:05:31.2813320Z - onnx_kwargs: 2023-07-07T20:05:31.2813854Z - diagnostic_context: 2023-07-07T20:05:31.2814112Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2814599Z [2023-07-07 19:59:50,962] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_71]. 2023-07-07T20:05:31.2814837Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2814845Z 2023-07-07T20:05:31.2815182Z [2023-07-07 19:59:50,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2815529Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2815538Z 2023-07-07T20:05:31.2815852Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2816316Z - self: 2023-07-07T20:05:31.2816669Z - node: fx.Node(unsqueeze_71[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2816866Z - aten_name: 2023-07-07T20:05:31.2817078Z - function_overloads: 2023-07-07T20:05:31.2817280Z - onnx_args: 2023-07-07T20:05:31.2817476Z - onnx_kwargs: 2023-07-07T20:05:31.2818003Z - diagnostic_context: 2023-07-07T20:05:31.2818274Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2818769Z [2023-07-07 19:59:51,002] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.2819016Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2819024Z 2023-07-07T20:05:31.2819367Z [2023-07-07 19:59:51,002] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2819697Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2819709Z 2023-07-07T20:05:31.2820065Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2820527Z - self: 2023-07-07T20:05:31.2820902Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2821096Z - aten_name: 2023-07-07T20:05:31.2821322Z - function_overloads: 2023-07-07T20:05:31.2821520Z - onnx_args: 2023-07-07T20:05:31.2821717Z - onnx_kwargs: 2023-07-07T20:05:31.2822231Z - diagnostic_context: 2023-07-07T20:05:31.2822590Z - Return value: 2023-07-07T20:05:31.2823121Z [2023-07-07 19:59:51,010] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.2823365Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2823743Z [2023-07-07 19:59:51,010] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2823868Z ### Exception log 2023-07-07T20:05:31.2824003Z ``` 2023-07-07T20:05:31.2824154Z Traceback (most recent call last): 2023-07-07T20:05:31.2824175Z 2023-07-07T20:05:31.2824741Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2824949Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2824957Z 2023-07-07T20:05:31.2825414Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2825571Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2825582Z 2023-07-07T20:05:31.2826143Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2826307Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2826316Z 2023-07-07T20:05:31.2826765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2827000Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2827009Z 2023-07-07T20:05:31.2827490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2827704Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2827726Z 2023-07-07T20:05:31.2828289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2828419Z result = op.Conv( 2023-07-07T20:05:31.2828428Z 2023-07-07T20:05:31.2828921Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2829046Z return op( 2023-07-07T20:05:31.2829054Z 2023-07-07T20:05:31.2829500Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2829713Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2829722Z 2023-07-07T20:05:31.2830177Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2830399Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2830408Z 2023-07-07T20:05:31.2830855Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2831054Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2831062Z 2023-07-07T20:05:31.2831532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2831831Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2831843Z 2023-07-07T20:05:31.2832320Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2832478Z node.attribute.extend( 2023-07-07T20:05:31.2832487Z 2023-07-07T20:05:31.2832928Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2833081Z make_attribute(key, value) 2023-07-07T20:05:31.2833089Z 2023-07-07T20:05:31.2833553Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2833683Z raise ValueError( 2023-07-07T20:05:31.2833691Z 2023-07-07T20:05:31.2833996Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2834040Z 2023-07-07T20:05:31.2834136Z ``` 2023-07-07T20:05:31.2834340Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2834930Z - diagnostic_context: 2023-07-07T20:05:31.2835398Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2835807Z - symbolic_fn: 2023-07-07T20:05:31.2836011Z - torch_args: 2023-07-07T20:05:31.2836213Z - torch_kwargs: 2023-07-07T20:05:31.2836419Z - Return value: 2023-07-07T20:05:31.2836970Z [2023-07-07 19:59:51,015] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_18]. 2023-07-07T20:05:31.2837241Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2837250Z 2023-07-07T20:05:31.2837595Z [2023-07-07 19:59:51,015] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2837944Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2837956Z 2023-07-07T20:05:31.2838275Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2838742Z - self: 2023-07-07T20:05:31.2839168Z - node: fx.Node(convert_element_type_18[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2839363Z - aten_name: 2023-07-07T20:05:31.2839573Z - function_overloads: 2023-07-07T20:05:31.2839772Z - onnx_args: 2023-07-07T20:05:31.2839978Z - onnx_kwargs: 2023-07-07T20:05:31.2840503Z - diagnostic_context: 2023-07-07T20:05:31.2840821Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2841367Z [2023-07-07 19:59:51,018] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_19]. 2023-07-07T20:05:31.2841639Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2841651Z 2023-07-07T20:05:31.2841990Z [2023-07-07 19:59:51,018] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2842327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2842348Z 2023-07-07T20:05:31.2842644Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2843099Z - self: 2023-07-07T20:05:31.2843518Z - node: fx.Node(convert_element_type_19[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2843717Z - aten_name: 2023-07-07T20:05:31.2843943Z - function_overloads: 2023-07-07T20:05:31.2844142Z - onnx_args: 2023-07-07T20:05:31.2844343Z - onnx_kwargs: 2023-07-07T20:05:31.2845102Z - diagnostic_context: 2023-07-07T20:05:31.2845430Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2845863Z [2023-07-07 19:59:51,026] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_9]. 2023-07-07T20:05:31.2846112Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2846436Z [2023-07-07 19:59:51,026] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2846563Z ### Exception log 2023-07-07T20:05:31.2846665Z ``` 2023-07-07T20:05:31.2846832Z Traceback (most recent call last): 2023-07-07T20:05:31.2846842Z 2023-07-07T20:05:31.2847410Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2847623Z torch.testing.assert_close( 2023-07-07T20:05:31.2847633Z 2023-07-07T20:05:31.2848134Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2848348Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2848356Z 2023-07-07T20:05:31.2848626Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2848678Z 2023-07-07T20:05:31.2848836Z Mismatched elements: 62 / 128 (48.4%) 2023-07-07T20:05:31.2849064Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.2849299Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2849307Z 2023-07-07T20:05:31.2849406Z ``` 2023-07-07T20:05:31.2849601Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2850133Z - diagnostic_context: 2023-07-07T20:05:31.2850447Z - node: fx.Node(sqrt_9[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2850693Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2850897Z - torch_args: 2023-07-07T20:05:31.2851109Z - torch_kwargs: 2023-07-07T20:05:31.2851334Z - Return value: 2023-07-07T20:05:31.2851772Z [2023-07-07 19:59:51,029] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_9]. 2023-07-07T20:05:31.2852012Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2852022Z 2023-07-07T20:05:31.2852359Z [2023-07-07 19:59:51,029] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2852705Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2852714Z 2023-07-07T20:05:31.2853023Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2853493Z - self: 2023-07-07T20:05:31.2853807Z - node: fx.Node(tensor_int_9[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2854001Z - aten_name: 2023-07-07T20:05:31.2854227Z - function_overloads: 2023-07-07T20:05:31.2854414Z - onnx_args: 2023-07-07T20:05:31.2854615Z - onnx_kwargs: 2023-07-07T20:05:31.2855142Z - diagnostic_context: 2023-07-07T20:05:31.2855414Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2855891Z [2023-07-07 19:59:51,039] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_72]. 2023-07-07T20:05:31.2856127Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2856136Z 2023-07-07T20:05:31.2856468Z [2023-07-07 19:59:51,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2856812Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2856821Z 2023-07-07T20:05:31.2857119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2857621Z - self: 2023-07-07T20:05:31.2857973Z - node: fx.Node(unsqueeze_72[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2858171Z - aten_name: 2023-07-07T20:05:31.2858397Z - function_overloads: 2023-07-07T20:05:31.2858592Z - onnx_args: 2023-07-07T20:05:31.2858793Z - onnx_kwargs: 2023-07-07T20:05:31.2859303Z - diagnostic_context: 2023-07-07T20:05:31.2859576Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2860055Z [2023-07-07 19:59:51,041] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_73]. 2023-07-07T20:05:31.2860332Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2860341Z 2023-07-07T20:05:31.2860684Z [2023-07-07 19:59:51,042] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2861071Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2861112Z 2023-07-07T20:05:31.2861425Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2861892Z - self: 2023-07-07T20:05:31.2862246Z - node: fx.Node(unsqueeze_73[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2862425Z - aten_name: 2023-07-07T20:05:31.2862653Z - function_overloads: 2023-07-07T20:05:31.2862851Z - onnx_args: 2023-07-07T20:05:31.2863052Z - onnx_kwargs: 2023-07-07T20:05:31.2863582Z - diagnostic_context: 2023-07-07T20:05:31.2863855Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2864341Z [2023-07-07 19:59:51,044] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_74]. 2023-07-07T20:05:31.2864583Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2864594Z 2023-07-07T20:05:31.2864921Z [2023-07-07 19:59:51,044] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2865267Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2865276Z 2023-07-07T20:05:31.2865588Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2866050Z - self: 2023-07-07T20:05:31.2866412Z - node: fx.Node(unsqueeze_74[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2866606Z - aten_name: 2023-07-07T20:05:31.2866832Z - function_overloads: 2023-07-07T20:05:31.2867031Z - onnx_args: 2023-07-07T20:05:31.2867219Z - onnx_kwargs: 2023-07-07T20:05:31.2867751Z - diagnostic_context: 2023-07-07T20:05:31.2868023Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2868506Z [2023-07-07 19:59:51,046] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_75]. 2023-07-07T20:05:31.2868745Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2868754Z 2023-07-07T20:05:31.2869093Z [2023-07-07 19:59:51,046] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2869437Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2869446Z 2023-07-07T20:05:31.2869761Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2870224Z - self: 2023-07-07T20:05:31.2870601Z - node: fx.Node(unsqueeze_75[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2870794Z - aten_name: 2023-07-07T20:05:31.2871025Z - function_overloads: 2023-07-07T20:05:31.2871218Z - onnx_args: 2023-07-07T20:05:31.2871417Z - onnx_kwargs: 2023-07-07T20:05:31.2871947Z - diagnostic_context: 2023-07-07T20:05:31.2872221Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2872685Z [2023-07-07 19:59:51,078] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_76]. 2023-07-07T20:05:31.2872923Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2872932Z 2023-07-07T20:05:31.2873306Z [2023-07-07 19:59:51,078] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2873655Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2873702Z 2023-07-07T20:05:31.2874021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2874519Z - self: 2023-07-07T20:05:31.2874946Z - node: fx.Node(unsqueeze_76[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2875144Z - aten_name: 2023-07-07T20:05:31.2875368Z - function_overloads: 2023-07-07T20:05:31.2875554Z - onnx_args: 2023-07-07T20:05:31.2875755Z - onnx_kwargs: 2023-07-07T20:05:31.2876278Z - diagnostic_context: 2023-07-07T20:05:31.2876553Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2877033Z [2023-07-07 19:59:51,081] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_77]. 2023-07-07T20:05:31.2877279Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2877292Z 2023-07-07T20:05:31.2877627Z [2023-07-07 19:59:51,081] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2877973Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2877983Z 2023-07-07T20:05:31.2878279Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2878743Z - self: 2023-07-07T20:05:31.2879094Z - node: fx.Node(unsqueeze_77[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2879289Z - aten_name: 2023-07-07T20:05:31.2879516Z - function_overloads: 2023-07-07T20:05:31.2879715Z - onnx_args: 2023-07-07T20:05:31.2879918Z - onnx_kwargs: 2023-07-07T20:05:31.2880444Z - diagnostic_context: 2023-07-07T20:05:31.2880706Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2881187Z [2023-07-07 19:59:51,089] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_78]. 2023-07-07T20:05:31.2881431Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2881439Z 2023-07-07T20:05:31.2881775Z [2023-07-07 19:59:51,089] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2882118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2882127Z 2023-07-07T20:05:31.2882439Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2882913Z - self: 2023-07-07T20:05:31.2883270Z - node: fx.Node(unsqueeze_78[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2883466Z - aten_name: 2023-07-07T20:05:31.2883715Z - function_overloads: 2023-07-07T20:05:31.2883919Z - onnx_args: 2023-07-07T20:05:31.2884125Z - onnx_kwargs: 2023-07-07T20:05:31.2886072Z - diagnostic_context: 2023-07-07T20:05:31.2886411Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2886891Z [2023-07-07 19:59:51,091] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_79]. 2023-07-07T20:05:31.2887137Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2887146Z 2023-07-07T20:05:31.2887480Z [2023-07-07 19:59:51,091] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2887939Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2887951Z 2023-07-07T20:05:31.2888320Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2888789Z - self: 2023-07-07T20:05:31.2889192Z - node: fx.Node(unsqueeze_79[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2889387Z - aten_name: 2023-07-07T20:05:31.2889612Z - function_overloads: 2023-07-07T20:05:31.2889809Z - onnx_args: 2023-07-07T20:05:31.2889999Z - onnx_kwargs: 2023-07-07T20:05:31.2890528Z - diagnostic_context: 2023-07-07T20:05:31.2890796Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2891294Z [2023-07-07 19:59:51,166] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.2891541Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2891553Z 2023-07-07T20:05:31.2891900Z [2023-07-07 19:59:51,166] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2892246Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2892260Z 2023-07-07T20:05:31.2892569Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2893035Z - self: 2023-07-07T20:05:31.2893394Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2893589Z - aten_name: 2023-07-07T20:05:31.2893819Z - function_overloads: 2023-07-07T20:05:31.2894019Z - onnx_args: 2023-07-07T20:05:31.2894224Z - onnx_kwargs: 2023-07-07T20:05:31.2894751Z - diagnostic_context: 2023-07-07T20:05:31.2895121Z - Return value: 2023-07-07T20:05:31.2895633Z [2023-07-07 19:59:51,180] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.2895865Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2896206Z [2023-07-07 19:59:51,181] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2896336Z ### Exception log 2023-07-07T20:05:31.2896441Z ``` 2023-07-07T20:05:31.2896604Z Traceback (most recent call last): 2023-07-07T20:05:31.2896613Z 2023-07-07T20:05:31.2897199Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2897407Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2897419Z 2023-07-07T20:05:31.2897871Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2898018Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2898026Z 2023-07-07T20:05:31.2898640Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2898805Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2898814Z 2023-07-07T20:05:31.2899270Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2899501Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2899512Z 2023-07-07T20:05:31.2899993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2900220Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2900262Z 2023-07-07T20:05:31.2900843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2901006Z result = op.Conv( 2023-07-07T20:05:31.2901017Z 2023-07-07T20:05:31.2901511Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2901648Z return op( 2023-07-07T20:05:31.2901657Z 2023-07-07T20:05:31.2902109Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2902319Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2902327Z 2023-07-07T20:05:31.2902780Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2903002Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2903011Z 2023-07-07T20:05:31.2903469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2903682Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2903693Z 2023-07-07T20:05:31.2904160Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2904461Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2904470Z 2023-07-07T20:05:31.2904914Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2905058Z node.attribute.extend( 2023-07-07T20:05:31.2905066Z 2023-07-07T20:05:31.2905502Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2905651Z make_attribute(key, value) 2023-07-07T20:05:31.2905661Z 2023-07-07T20:05:31.2906125Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2906259Z raise ValueError( 2023-07-07T20:05:31.2906267Z 2023-07-07T20:05:31.2906562Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2906575Z 2023-07-07T20:05:31.2906678Z ``` 2023-07-07T20:05:31.2906885Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2907422Z - diagnostic_context: 2023-07-07T20:05:31.2907786Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2908150Z - symbolic_fn: 2023-07-07T20:05:31.2908355Z - torch_args: 2023-07-07T20:05:31.2908562Z - torch_kwargs: 2023-07-07T20:05:31.2908784Z - Return value: 2023-07-07T20:05:31.2909336Z [2023-07-07 19:59:51,206] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_20]. 2023-07-07T20:05:31.2909610Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2909621Z 2023-07-07T20:05:31.2910003Z [2023-07-07 19:59:51,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2910338Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2910350Z 2023-07-07T20:05:31.2910666Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2911124Z - self: 2023-07-07T20:05:31.2911535Z - node: fx.Node(convert_element_type_20[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2911731Z - aten_name: 2023-07-07T20:05:31.2911957Z - function_overloads: 2023-07-07T20:05:31.2912156Z - onnx_args: 2023-07-07T20:05:31.2912387Z - onnx_kwargs: 2023-07-07T20:05:31.2912907Z - diagnostic_context: 2023-07-07T20:05:31.2913256Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2913786Z [2023-07-07 19:59:51,210] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_21]. 2023-07-07T20:05:31.2914088Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2914096Z 2023-07-07T20:05:31.2914438Z [2023-07-07 19:59:51,210] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2914862Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2914871Z 2023-07-07T20:05:31.2915187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2915652Z - self: 2023-07-07T20:05:31.2916066Z - node: fx.Node(convert_element_type_21[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2916249Z - aten_name: 2023-07-07T20:05:31.2916475Z - function_overloads: 2023-07-07T20:05:31.2916673Z - onnx_args: 2023-07-07T20:05:31.2916878Z - onnx_kwargs: 2023-07-07T20:05:31.2917411Z - diagnostic_context: 2023-07-07T20:05:31.2917728Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2918165Z [2023-07-07 19:59:51,219] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_10]. 2023-07-07T20:05:31.2918374Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2918694Z [2023-07-07 19:59:51,219] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2918816Z ### Exception log 2023-07-07T20:05:31.2918920Z ``` 2023-07-07T20:05:31.2919094Z Traceback (most recent call last): 2023-07-07T20:05:31.2919102Z 2023-07-07T20:05:31.2919691Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2919853Z torch.testing.assert_close( 2023-07-07T20:05:31.2919864Z 2023-07-07T20:05:31.2920371Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2920517Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2920541Z 2023-07-07T20:05:31.2920791Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2920802Z 2023-07-07T20:05:31.2920956Z Mismatched elements: 133 / 256 (52.0%) 2023-07-07T20:05:31.2921187Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.2921420Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2921429Z 2023-07-07T20:05:31.2921531Z ``` 2023-07-07T20:05:31.2921735Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2922272Z - diagnostic_context: 2023-07-07T20:05:31.2922638Z - node: fx.Node(sqrt_10[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2922870Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2923074Z - torch_args: 2023-07-07T20:05:31.2923278Z - torch_kwargs: 2023-07-07T20:05:31.2923499Z - Return value: 2023-07-07T20:05:31.2923942Z [2023-07-07 19:59:51,235] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_10]. 2023-07-07T20:05:31.2924179Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2924187Z 2023-07-07T20:05:31.2924739Z [2023-07-07 19:59:51,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2925141Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2925168Z 2023-07-07T20:05:31.2925471Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2926008Z - self: 2023-07-07T20:05:31.2926337Z - node: fx.Node(tensor_int_10[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2926581Z - aten_name: 2023-07-07T20:05:31.2926810Z - function_overloads: 2023-07-07T20:05:31.2927007Z - onnx_args: 2023-07-07T20:05:31.2927206Z - onnx_kwargs: 2023-07-07T20:05:31.2927725Z - diagnostic_context: 2023-07-07T20:05:31.2928003Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2928481Z [2023-07-07 19:59:51,249] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_80]. 2023-07-07T20:05:31.2928727Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2928736Z 2023-07-07T20:05:31.2929072Z [2023-07-07 19:59:51,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2929426Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2929439Z 2023-07-07T20:05:31.2929752Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2930220Z - self: 2023-07-07T20:05:31.2930578Z - node: fx.Node(unsqueeze_80[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2930759Z - aten_name: 2023-07-07T20:05:31.2930991Z - function_overloads: 2023-07-07T20:05:31.2931185Z - onnx_args: 2023-07-07T20:05:31.2931389Z - onnx_kwargs: 2023-07-07T20:05:31.2931914Z - diagnostic_context: 2023-07-07T20:05:31.2932186Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2932673Z [2023-07-07 19:59:51,252] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_81]. 2023-07-07T20:05:31.2932919Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2932931Z 2023-07-07T20:05:31.2933251Z [2023-07-07 19:59:51,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2933599Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2933607Z 2023-07-07T20:05:31.2933923Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2934381Z - self: 2023-07-07T20:05:31.2934733Z - node: fx.Node(unsqueeze_81[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2934931Z - aten_name: 2023-07-07T20:05:31.2935157Z - function_overloads: 2023-07-07T20:05:31.2935351Z - onnx_args: 2023-07-07T20:05:31.2935542Z - onnx_kwargs: 2023-07-07T20:05:31.2936135Z - diagnostic_context: 2023-07-07T20:05:31.2936408Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2936887Z [2023-07-07 19:59:51,255] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_82]. 2023-07-07T20:05:31.2937128Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2937139Z 2023-07-07T20:05:31.2937476Z [2023-07-07 19:59:51,255] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2937827Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2937836Z 2023-07-07T20:05:31.2938235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2938705Z - self: 2023-07-07T20:05:31.2939085Z - node: fx.Node(unsqueeze_82[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2939276Z - aten_name: 2023-07-07T20:05:31.2939503Z - function_overloads: 2023-07-07T20:05:31.2939741Z - onnx_args: 2023-07-07T20:05:31.2939945Z - onnx_kwargs: 2023-07-07T20:05:31.2940470Z - diagnostic_context: 2023-07-07T20:05:31.2940737Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2941207Z [2023-07-07 19:59:51,258] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_83]. 2023-07-07T20:05:31.2941448Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2941457Z 2023-07-07T20:05:31.2941798Z [2023-07-07 19:59:51,258] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2942141Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2942153Z 2023-07-07T20:05:31.2942470Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2942930Z - self: 2023-07-07T20:05:31.2943285Z - node: fx.Node(unsqueeze_83[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2943478Z - aten_name: 2023-07-07T20:05:31.2943702Z - function_overloads: 2023-07-07T20:05:31.2943892Z - onnx_args: 2023-07-07T20:05:31.2944089Z - onnx_kwargs: 2023-07-07T20:05:31.2944614Z - diagnostic_context: 2023-07-07T20:05:31.2944884Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2945364Z [2023-07-07 19:59:51,298] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_84]. 2023-07-07T20:05:31.2945606Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2945620Z 2023-07-07T20:05:31.2945953Z [2023-07-07 19:59:51,298] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2946305Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2946314Z 2023-07-07T20:05:31.2946610Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2947071Z - self: 2023-07-07T20:05:31.2947421Z - node: fx.Node(unsqueeze_84[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2947616Z - aten_name: 2023-07-07T20:05:31.2947839Z - function_overloads: 2023-07-07T20:05:31.2948041Z - onnx_args: 2023-07-07T20:05:31.2948244Z - onnx_kwargs: 2023-07-07T20:05:31.2948767Z - diagnostic_context: 2023-07-07T20:05:31.2949068Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2949544Z [2023-07-07 19:59:51,301] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_85]. 2023-07-07T20:05:31.2949787Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2949797Z 2023-07-07T20:05:31.2950137Z [2023-07-07 19:59:51,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2950480Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2950488Z 2023-07-07T20:05:31.2950799Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2951294Z - self: 2023-07-07T20:05:31.2951648Z - node: fx.Node(unsqueeze_85[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2951866Z - aten_name: 2023-07-07T20:05:31.2952091Z - function_overloads: 2023-07-07T20:05:31.2952289Z - onnx_args: 2023-07-07T20:05:31.2952487Z - onnx_kwargs: 2023-07-07T20:05:31.2953053Z - diagnostic_context: 2023-07-07T20:05:31.2953325Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2953798Z [2023-07-07 19:59:51,318] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_86]. 2023-07-07T20:05:31.2954041Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2954050Z 2023-07-07T20:05:31.2954377Z [2023-07-07 19:59:51,318] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2954795Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2954804Z 2023-07-07T20:05:31.2955121Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2955598Z - self: 2023-07-07T20:05:31.2955956Z - node: fx.Node(unsqueeze_86[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2956151Z - aten_name: 2023-07-07T20:05:31.2956379Z - function_overloads: 2023-07-07T20:05:31.2956577Z - onnx_args: 2023-07-07T20:05:31.2956766Z - onnx_kwargs: 2023-07-07T20:05:31.2957300Z - diagnostic_context: 2023-07-07T20:05:31.2957570Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2958055Z [2023-07-07 19:59:51,321] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_87]. 2023-07-07T20:05:31.2958295Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2958304Z 2023-07-07T20:05:31.2958646Z [2023-07-07 19:59:51,321] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2958993Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2959003Z 2023-07-07T20:05:31.2959318Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2959782Z - self: 2023-07-07T20:05:31.2960121Z - node: fx.Node(unsqueeze_87[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.2960313Z - aten_name: 2023-07-07T20:05:31.2960541Z - function_overloads: 2023-07-07T20:05:31.2960736Z - onnx_args: 2023-07-07T20:05:31.2960935Z - onnx_kwargs: 2023-07-07T20:05:31.2961471Z - diagnostic_context: 2023-07-07T20:05:31.2961740Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.2962273Z [2023-07-07 19:59:51,501] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.2962526Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2962537Z 2023-07-07T20:05:31.2962875Z [2023-07-07 19:59:51,501] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2963216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2963225Z 2023-07-07T20:05:31.2963538Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2964002Z - self: 2023-07-07T20:05:31.2964509Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2964719Z - aten_name: 2023-07-07T20:05:31.2964950Z - function_overloads: 2023-07-07T20:05:31.2965188Z - onnx_args: 2023-07-07T20:05:31.2965392Z - onnx_kwargs: 2023-07-07T20:05:31.2965928Z - diagnostic_context: 2023-07-07T20:05:31.2966342Z - Return value: 2023-07-07T20:05:31.2966848Z [2023-07-07 19:59:51,520] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.2967088Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2967432Z [2023-07-07 19:59:51,521] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.2967561Z ### Exception log 2023-07-07T20:05:31.2967654Z ``` 2023-07-07T20:05:31.2967814Z Traceback (most recent call last): 2023-07-07T20:05:31.2967826Z 2023-07-07T20:05:31.2968413Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.2968624Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.2968633Z 2023-07-07T20:05:31.2969092Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.2969253Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.2969262Z 2023-07-07T20:05:31.2969822Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.2969983Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.2969991Z 2023-07-07T20:05:31.2970441Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.2970659Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.2970671Z 2023-07-07T20:05:31.2971153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.2971383Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.2971394Z 2023-07-07T20:05:31.2971965Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.2972102Z result = op.Conv( 2023-07-07T20:05:31.2972110Z 2023-07-07T20:05:31.2972610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.2972732Z return op( 2023-07-07T20:05:31.2972740Z 2023-07-07T20:05:31.2973188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.2973412Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.2973420Z 2023-07-07T20:05:31.2973881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.2974093Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2974104Z 2023-07-07T20:05:31.2974618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.2974837Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.2974846Z 2023-07-07T20:05:31.2975315Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.2975614Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.2975623Z 2023-07-07T20:05:31.2976059Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.2976213Z node.attribute.extend( 2023-07-07T20:05:31.2976222Z 2023-07-07T20:05:31.2976706Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.2976857Z make_attribute(key, value) 2023-07-07T20:05:31.2976897Z 2023-07-07T20:05:31.2977346Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.2977481Z raise ValueError( 2023-07-07T20:05:31.2977521Z 2023-07-07T20:05:31.2977824Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.2977832Z 2023-07-07T20:05:31.2977934Z ``` 2023-07-07T20:05:31.2978143Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2978672Z - diagnostic_context: 2023-07-07T20:05:31.2979047Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.2979411Z - symbolic_fn: 2023-07-07T20:05:31.2979603Z - torch_args: 2023-07-07T20:05:31.2979810Z - torch_kwargs: 2023-07-07T20:05:31.2980033Z - Return value: 2023-07-07T20:05:31.2980587Z [2023-07-07 19:59:51,527] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_22]. 2023-07-07T20:05:31.2980865Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2980876Z 2023-07-07T20:05:31.2981214Z [2023-07-07 19:59:51,527] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2981565Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2981574Z 2023-07-07T20:05:31.2981887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2982347Z - self: 2023-07-07T20:05:31.2982753Z - node: fx.Node(convert_element_type_22[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2982945Z - aten_name: 2023-07-07T20:05:31.2983171Z - function_overloads: 2023-07-07T20:05:31.2983374Z - onnx_args: 2023-07-07T20:05:31.2983579Z - onnx_kwargs: 2023-07-07T20:05:31.2984118Z - diagnostic_context: 2023-07-07T20:05:31.2984434Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2984976Z [2023-07-07 19:59:51,539] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_23]. 2023-07-07T20:05:31.2985234Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2985243Z 2023-07-07T20:05:31.2985586Z [2023-07-07 19:59:51,539] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2985933Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2985942Z 2023-07-07T20:05:31.2986251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2986760Z - self: 2023-07-07T20:05:31.2987184Z - node: fx.Node(convert_element_type_23[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.2987377Z - aten_name: 2023-07-07T20:05:31.2987608Z - function_overloads: 2023-07-07T20:05:31.2987791Z - onnx_args: 2023-07-07T20:05:31.2987992Z - onnx_kwargs: 2023-07-07T20:05:31.2988517Z - diagnostic_context: 2023-07-07T20:05:31.2988834Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.2989318Z [2023-07-07 19:59:51,563] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_11]. 2023-07-07T20:05:31.2989543Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2989864Z [2023-07-07 19:59:51,563] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.2990025Z ### Exception log 2023-07-07T20:05:31.2990118Z ``` 2023-07-07T20:05:31.2990277Z Traceback (most recent call last): 2023-07-07T20:05:31.2990285Z 2023-07-07T20:05:31.2990895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.2991058Z torch.testing.assert_close( 2023-07-07T20:05:31.2991067Z 2023-07-07T20:05:31.2991569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.2991728Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.2991737Z 2023-07-07T20:05:31.2992003Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.2992011Z 2023-07-07T20:05:31.2992175Z Mismatched elements: 127 / 256 (49.6%) 2023-07-07T20:05:31.2992403Z Greatest absolute difference: nan at index (6,) (up to 0.001 allowed) 2023-07-07T20:05:31.2992622Z Greatest relative difference: nan at index (6,) (up to 0.0001 allowed) 2023-07-07T20:05:31.2992634Z 2023-07-07T20:05:31.2992738Z ``` 2023-07-07T20:05:31.2992943Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.2993480Z - diagnostic_context: 2023-07-07T20:05:31.2993791Z - node: fx.Node(sqrt_11[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.2994034Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.2994237Z - torch_args: 2023-07-07T20:05:31.2994425Z - torch_kwargs: 2023-07-07T20:05:31.2994711Z - Return value: 2023-07-07T20:05:31.2995171Z [2023-07-07 19:59:51,588] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_11]. 2023-07-07T20:05:31.2995412Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2995421Z 2023-07-07T20:05:31.2995759Z [2023-07-07 19:59:51,588] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.2996106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.2996115Z 2023-07-07T20:05:31.2996430Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.2996891Z - self: 2023-07-07T20:05:31.2997216Z - node: fx.Node(tensor_int_11[call_function]'aten.tensor.int') 2023-07-07T20:05:31.2997394Z - aten_name: 2023-07-07T20:05:31.2997623Z - function_overloads: 2023-07-07T20:05:31.2997822Z - onnx_args: 2023-07-07T20:05:31.2998023Z - onnx_kwargs: 2023-07-07T20:05:31.2998552Z - diagnostic_context: 2023-07-07T20:05:31.2998826Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.2999306Z [2023-07-07 19:59:51,600] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_88]. 2023-07-07T20:05:31.2999586Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.2999609Z 2023-07-07T20:05:31.2999939Z [2023-07-07 19:59:51,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3000283Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3000293Z 2023-07-07T20:05:31.3000602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3001068Z - self: 2023-07-07T20:05:31.3001420Z - node: fx.Node(unsqueeze_88[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3001654Z - aten_name: 2023-07-07T20:05:31.3001883Z - function_overloads: 2023-07-07T20:05:31.3002084Z - onnx_args: 2023-07-07T20:05:31.3002270Z - onnx_kwargs: 2023-07-07T20:05:31.3002846Z - diagnostic_context: 2023-07-07T20:05:31.3003120Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3003630Z [2023-07-07 19:59:51,603] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_89]. 2023-07-07T20:05:31.3003873Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3003881Z 2023-07-07T20:05:31.3004219Z [2023-07-07 19:59:51,603] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3004667Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3004680Z 2023-07-07T20:05:31.3004997Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3005450Z - self: 2023-07-07T20:05:31.3005805Z - node: fx.Node(unsqueeze_89[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3005998Z - aten_name: 2023-07-07T20:05:31.3006222Z - function_overloads: 2023-07-07T20:05:31.3006425Z - onnx_args: 2023-07-07T20:05:31.3006630Z - onnx_kwargs: 2023-07-07T20:05:31.3007158Z - diagnostic_context: 2023-07-07T20:05:31.3007426Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3007894Z [2023-07-07 19:59:51,606] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_90]. 2023-07-07T20:05:31.3008134Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3008143Z 2023-07-07T20:05:31.3008485Z [2023-07-07 19:59:51,606] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3008831Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3008844Z 2023-07-07T20:05:31.3009160Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3009624Z - self: 2023-07-07T20:05:31.3009983Z - node: fx.Node(unsqueeze_90[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3010176Z - aten_name: 2023-07-07T20:05:31.3010388Z - function_overloads: 2023-07-07T20:05:31.3010587Z - onnx_args: 2023-07-07T20:05:31.3010787Z - onnx_kwargs: 2023-07-07T20:05:31.3011313Z - diagnostic_context: 2023-07-07T20:05:31.3011584Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3012061Z [2023-07-07 19:59:51,610] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_91]. 2023-07-07T20:05:31.3012302Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3012313Z 2023-07-07T20:05:31.3012736Z [2023-07-07 19:59:51,610] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3013069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3013090Z 2023-07-07T20:05:31.3013388Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3013855Z - self: 2023-07-07T20:05:31.3014207Z - node: fx.Node(unsqueeze_91[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3014398Z - aten_name: 2023-07-07T20:05:31.3014626Z - function_overloads: 2023-07-07T20:05:31.3014866Z - onnx_args: 2023-07-07T20:05:31.3015069Z - onnx_kwargs: 2023-07-07T20:05:31.3015585Z - diagnostic_context: 2023-07-07T20:05:31.3015912Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3016382Z [2023-07-07 19:59:51,623] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_92]. 2023-07-07T20:05:31.3016665Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3016673Z 2023-07-07T20:05:31.3017014Z [2023-07-07 19:59:51,623] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3017360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3017368Z 2023-07-07T20:05:31.3017685Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3018153Z - self: 2023-07-07T20:05:31.3018507Z - node: fx.Node(unsqueeze_92[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3018687Z - aten_name: 2023-07-07T20:05:31.3018911Z - function_overloads: 2023-07-07T20:05:31.3019110Z - onnx_args: 2023-07-07T20:05:31.3019311Z - onnx_kwargs: 2023-07-07T20:05:31.3019846Z - diagnostic_context: 2023-07-07T20:05:31.3020118Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3020598Z [2023-07-07 19:59:51,627] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_93]. 2023-07-07T20:05:31.3020838Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3020848Z 2023-07-07T20:05:31.3021171Z [2023-07-07 19:59:51,627] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3021524Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3021536Z 2023-07-07T20:05:31.3021852Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3022322Z - self: 2023-07-07T20:05:31.3022673Z - node: fx.Node(unsqueeze_93[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3022871Z - aten_name: 2023-07-07T20:05:31.3023099Z - function_overloads: 2023-07-07T20:05:31.3023296Z - onnx_args: 2023-07-07T20:05:31.3023483Z - onnx_kwargs: 2023-07-07T20:05:31.3024012Z - diagnostic_context: 2023-07-07T20:05:31.3024277Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3024768Z [2023-07-07 19:59:51,632] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_94]. 2023-07-07T20:05:31.3025010Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3025018Z 2023-07-07T20:05:31.3025354Z [2023-07-07 19:59:51,632] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3025745Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3025757Z 2023-07-07T20:05:31.3026073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3026549Z - self: 2023-07-07T20:05:31.3026890Z - node: fx.Node(unsqueeze_94[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3027084Z - aten_name: 2023-07-07T20:05:31.3027309Z - function_overloads: 2023-07-07T20:05:31.3027508Z - onnx_args: 2023-07-07T20:05:31.3027708Z - onnx_kwargs: 2023-07-07T20:05:31.3028276Z - diagnostic_context: 2023-07-07T20:05:31.3028550Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3029054Z [2023-07-07 19:59:51,635] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_95]. 2023-07-07T20:05:31.3029297Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3029339Z 2023-07-07T20:05:31.3029680Z [2023-07-07 19:59:51,635] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3030026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3030034Z 2023-07-07T20:05:31.3030346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3030813Z - self: 2023-07-07T20:05:31.3031168Z - node: fx.Node(unsqueeze_95[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3031364Z - aten_name: 2023-07-07T20:05:31.3031593Z - function_overloads: 2023-07-07T20:05:31.3031776Z - onnx_args: 2023-07-07T20:05:31.3031982Z - onnx_kwargs: 2023-07-07T20:05:31.3032522Z - diagnostic_context: 2023-07-07T20:05:31.3032793Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3033297Z [2023-07-07 19:59:51,641] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.3033543Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3033555Z 2023-07-07T20:05:31.3033894Z [2023-07-07 19:59:51,641] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3034236Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3034246Z 2023-07-07T20:05:31.3034550Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3035088Z - self: 2023-07-07T20:05:31.3035465Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3035784Z - aten_name: 2023-07-07T20:05:31.3036046Z - function_overloads: 2023-07-07T20:05:31.3036280Z - onnx_args: 2023-07-07T20:05:31.3036681Z - onnx_kwargs: 2023-07-07T20:05:31.3037201Z - diagnostic_context: 2023-07-07T20:05:31.3037609Z - Return value: 2023-07-07T20:05:31.3038138Z [2023-07-07 19:59:51,648] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.3038417Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3038801Z [2023-07-07 19:59:51,648] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3038962Z ### Exception log 2023-07-07T20:05:31.3039101Z ``` 2023-07-07T20:05:31.3039249Z Traceback (most recent call last): 2023-07-07T20:05:31.3039364Z 2023-07-07T20:05:31.3039934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3040214Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3040226Z 2023-07-07T20:05:31.3040711Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3040902Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3040911Z 2023-07-07T20:05:31.3041507Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3041780Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3041789Z 2023-07-07T20:05:31.3042274Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3042588Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3042598Z 2023-07-07T20:05:31.3043113Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3043369Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3043449Z 2023-07-07T20:05:31.3044011Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3044176Z result = op.Conv( 2023-07-07T20:05:31.3044184Z 2023-07-07T20:05:31.3044817Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3044969Z return op( 2023-07-07T20:05:31.3044985Z 2023-07-07T20:05:31.3045484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3045736Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3045748Z 2023-07-07T20:05:31.3046234Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3046493Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3046502Z 2023-07-07T20:05:31.3047019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3047217Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3047226Z 2023-07-07T20:05:31.3047735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3048112Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3048121Z 2023-07-07T20:05:31.3048611Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3048807Z node.attribute.extend( 2023-07-07T20:05:31.3048815Z 2023-07-07T20:05:31.3049291Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3049478Z make_attribute(key, value) 2023-07-07T20:05:31.3049489Z 2023-07-07T20:05:31.3049981Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3050172Z raise ValueError( 2023-07-07T20:05:31.3050183Z 2023-07-07T20:05:31.3050514Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3050523Z 2023-07-07T20:05:31.3050615Z ``` 2023-07-07T20:05:31.3050863Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3051441Z - diagnostic_context: 2023-07-07T20:05:31.3051848Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3052247Z - symbolic_fn: 2023-07-07T20:05:31.3052555Z - torch_args: 2023-07-07T20:05:31.3052796Z - torch_kwargs: 2023-07-07T20:05:31.3053004Z - Return value: 2023-07-07T20:05:31.3053621Z [2023-07-07 19:59:51,652] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_24]. 2023-07-07T20:05:31.3053965Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3053974Z 2023-07-07T20:05:31.3054352Z [2023-07-07 19:59:51,653] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3054743Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3054756Z 2023-07-07T20:05:31.3055148Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3055648Z - self: 2023-07-07T20:05:31.3056164Z - node: fx.Node(convert_element_type_24[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3056438Z - aten_name: 2023-07-07T20:05:31.3056647Z - function_overloads: 2023-07-07T20:05:31.3056910Z - onnx_args: 2023-07-07T20:05:31.3057145Z - onnx_kwargs: 2023-07-07T20:05:31.3057710Z - diagnostic_context: 2023-07-07T20:05:31.3058060Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3058641Z [2023-07-07 19:59:51,656] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_25]. 2023-07-07T20:05:31.3058955Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3058964Z 2023-07-07T20:05:31.3059337Z [2023-07-07 19:59:51,656] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3059686Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3059782Z 2023-07-07T20:05:31.3060086Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3060612Z - self: 2023-07-07T20:05:31.3061070Z - node: fx.Node(convert_element_type_25[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3061299Z - aten_name: 2023-07-07T20:05:31.3061564Z - function_overloads: 2023-07-07T20:05:31.3061806Z - onnx_args: 2023-07-07T20:05:31.3062039Z - onnx_kwargs: 2023-07-07T20:05:31.3062559Z - diagnostic_context: 2023-07-07T20:05:31.3062919Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3063397Z [2023-07-07 19:59:51,675] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_12]. 2023-07-07T20:05:31.3063680Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3064038Z [2023-07-07 19:59:51,676] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3064196Z ### Exception log 2023-07-07T20:05:31.3064341Z ``` 2023-07-07T20:05:31.3064543Z Traceback (most recent call last): 2023-07-07T20:05:31.3064552Z 2023-07-07T20:05:31.3065115Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3065312Z torch.testing.assert_close( 2023-07-07T20:05:31.3065321Z 2023-07-07T20:05:31.3065888Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3066080Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3066088Z 2023-07-07T20:05:31.3066420Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3066432Z 2023-07-07T20:05:31.3066685Z Mismatched elements: 120 / 256 (46.9%) 2023-07-07T20:05:31.3066954Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.3067220Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3067229Z 2023-07-07T20:05:31.3067364Z ``` 2023-07-07T20:05:31.3067557Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3068125Z - diagnostic_context: 2023-07-07T20:05:31.3068474Z - node: fx.Node(sqrt_12[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3068754Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3069027Z - torch_args: 2023-07-07T20:05:31.3069309Z - torch_kwargs: 2023-07-07T20:05:31.3069567Z - Return value: 2023-07-07T20:05:31.3070006Z [2023-07-07 19:59:51,679] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_12]. 2023-07-07T20:05:31.3070324Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3070333Z 2023-07-07T20:05:31.3070740Z [2023-07-07 19:59:51,679] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3071165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3071174Z 2023-07-07T20:05:31.3071529Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3072031Z - self: 2023-07-07T20:05:31.3072419Z - node: fx.Node(tensor_int_12[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3072650Z - aten_name: 2023-07-07T20:05:31.3072917Z - function_overloads: 2023-07-07T20:05:31.3073104Z - onnx_args: 2023-07-07T20:05:31.3073344Z - onnx_kwargs: 2023-07-07T20:05:31.3073910Z - diagnostic_context: 2023-07-07T20:05:31.3074223Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3074850Z [2023-07-07 19:59:51,691] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_96]. 2023-07-07T20:05:31.3075135Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3075145Z 2023-07-07T20:05:31.3075548Z [2023-07-07 19:59:51,692] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3075934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3075944Z 2023-07-07T20:05:31.3076243Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3076745Z - self: 2023-07-07T20:05:31.3077168Z - node: fx.Node(unsqueeze_96[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3077415Z - aten_name: 2023-07-07T20:05:31.3077679Z - function_overloads: 2023-07-07T20:05:31.3077918Z - onnx_args: 2023-07-07T20:05:31.3078152Z - onnx_kwargs: 2023-07-07T20:05:31.3078673Z - diagnostic_context: 2023-07-07T20:05:31.3079008Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3079518Z [2023-07-07 19:59:51,694] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_97]. 2023-07-07T20:05:31.3079791Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3079802Z 2023-07-07T20:05:31.3080185Z [2023-07-07 19:59:51,694] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3080562Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3080574Z 2023-07-07T20:05:31.3080975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3081479Z - self: 2023-07-07T20:05:31.3081865Z - node: fx.Node(unsqueeze_97[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3082044Z - aten_name: 2023-07-07T20:05:31.3082325Z - function_overloads: 2023-07-07T20:05:31.3082563Z - onnx_args: 2023-07-07T20:05:31.3082824Z - onnx_kwargs: 2023-07-07T20:05:31.3083390Z - diagnostic_context: 2023-07-07T20:05:31.3083689Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3084244Z [2023-07-07 19:59:51,696] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_98]. 2023-07-07T20:05:31.3084626Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3084702Z 2023-07-07T20:05:31.3085043Z [2023-07-07 19:59:51,696] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3085429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3085482Z 2023-07-07T20:05:31.3085861Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3086363Z - self: 2023-07-07T20:05:31.3086756Z - node: fx.Node(unsqueeze_98[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3086985Z - aten_name: 2023-07-07T20:05:31.3087246Z - function_overloads: 2023-07-07T20:05:31.3087484Z - onnx_args: 2023-07-07T20:05:31.3087677Z - onnx_kwargs: 2023-07-07T20:05:31.3088238Z - diagnostic_context: 2023-07-07T20:05:31.3088548Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3089131Z [2023-07-07 19:59:51,698] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_99]. 2023-07-07T20:05:31.3089413Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3089422Z 2023-07-07T20:05:31.3089794Z [2023-07-07 19:59:51,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3090172Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3090181Z 2023-07-07T20:05:31.3090531Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3091045Z - self: 2023-07-07T20:05:31.3091387Z - node: fx.Node(unsqueeze_99[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3091613Z - aten_name: 2023-07-07T20:05:31.3091879Z - function_overloads: 2023-07-07T20:05:31.3092144Z - onnx_args: 2023-07-07T20:05:31.3092382Z - onnx_kwargs: 2023-07-07T20:05:31.3092957Z - diagnostic_context: 2023-07-07T20:05:31.3093261Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3093732Z [2023-07-07 19:59:51,707] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_100]. 2023-07-07T20:05:31.3094019Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3094028Z 2023-07-07T20:05:31.3094392Z [2023-07-07 19:59:51,708] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3094779Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3094790Z 2023-07-07T20:05:31.3095135Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3095764Z - self: 2023-07-07T20:05:31.3096164Z - node: fx.Node(unsqueeze_100[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3096404Z - aten_name: 2023-07-07T20:05:31.3096666Z - function_overloads: 2023-07-07T20:05:31.3096850Z - onnx_args: 2023-07-07T20:05:31.3097084Z - onnx_kwargs: 2023-07-07T20:05:31.3097646Z - diagnostic_context: 2023-07-07T20:05:31.3097952Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3098468Z [2023-07-07 19:59:51,710] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_101]. 2023-07-07T20:05:31.3098820Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3098829Z 2023-07-07T20:05:31.3099224Z [2023-07-07 19:59:51,710] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3099654Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3099695Z 2023-07-07T20:05:31.3100000Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3100505Z - self: 2023-07-07T20:05:31.3100893Z - node: fx.Node(unsqueeze_101[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3101163Z - aten_name: 2023-07-07T20:05:31.3101422Z - function_overloads: 2023-07-07T20:05:31.3101663Z - onnx_args: 2023-07-07T20:05:31.3101949Z - onnx_kwargs: 2023-07-07T20:05:31.3102524Z - diagnostic_context: 2023-07-07T20:05:31.3102782Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3103304Z [2023-07-07 19:59:51,716] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_102]. 2023-07-07T20:05:31.3103585Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3103599Z 2023-07-07T20:05:31.3103968Z [2023-07-07 19:59:51,716] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3104346Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3104355Z 2023-07-07T20:05:31.3104711Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3105214Z - self: 2023-07-07T20:05:31.3105629Z - node: fx.Node(unsqueeze_102[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3105864Z - aten_name: 2023-07-07T20:05:31.3106079Z - function_overloads: 2023-07-07T20:05:31.3106315Z - onnx_args: 2023-07-07T20:05:31.3106550Z - onnx_kwargs: 2023-07-07T20:05:31.3107117Z - diagnostic_context: 2023-07-07T20:05:31.3107480Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3107991Z [2023-07-07 19:59:51,718] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_103]. 2023-07-07T20:05:31.3108266Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3108274Z 2023-07-07T20:05:31.3108602Z [2023-07-07 19:59:51,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3109011Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3109020Z 2023-07-07T20:05:31.3109368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3109869Z - self: 2023-07-07T20:05:31.3110303Z - node: fx.Node(unsqueeze_103[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3110533Z - aten_name: 2023-07-07T20:05:31.3110794Z - function_overloads: 2023-07-07T20:05:31.3111025Z - onnx_args: 2023-07-07T20:05:31.3111210Z - onnx_kwargs: 2023-07-07T20:05:31.3111769Z - diagnostic_context: 2023-07-07T20:05:31.3112097Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3112638Z [2023-07-07 19:59:51,761] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.3112924Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3112934Z 2023-07-07T20:05:31.3113377Z [2023-07-07 19:59:51,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3113760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3113804Z 2023-07-07T20:05:31.3114150Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3114758Z - self: 2023-07-07T20:05:31.3115117Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3115346Z - aten_name: 2023-07-07T20:05:31.3115646Z - function_overloads: 2023-07-07T20:05:31.3115878Z - onnx_args: 2023-07-07T20:05:31.3116112Z - onnx_kwargs: 2023-07-07T20:05:31.3116673Z - diagnostic_context: 2023-07-07T20:05:31.3117086Z - Return value: 2023-07-07T20:05:31.3117622Z [2023-07-07 19:59:51,777] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.3117862Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3118243Z [2023-07-07 19:59:51,777] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3118418Z ### Exception log 2023-07-07T20:05:31.3118585Z ``` 2023-07-07T20:05:31.3118782Z Traceback (most recent call last): 2023-07-07T20:05:31.3118793Z 2023-07-07T20:05:31.3119438Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3119680Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3119689Z 2023-07-07T20:05:31.3120172Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3120322Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3120331Z 2023-07-07T20:05:31.3120918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3121124Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3121132Z 2023-07-07T20:05:31.3121619Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3121938Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3121947Z 2023-07-07T20:05:31.3122459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3122725Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3122733Z 2023-07-07T20:05:31.3123342Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3123508Z result = op.Conv( 2023-07-07T20:05:31.3123517Z 2023-07-07T20:05:31.3124060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3124211Z return op( 2023-07-07T20:05:31.3124220Z 2023-07-07T20:05:31.3124821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3125084Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3125093Z 2023-07-07T20:05:31.3125623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3125910Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3125918Z 2023-07-07T20:05:31.3126411Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3126660Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3126731Z 2023-07-07T20:05:31.3127238Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3127623Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3127632Z 2023-07-07T20:05:31.3128102Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3128288Z node.attribute.extend( 2023-07-07T20:05:31.3128297Z 2023-07-07T20:05:31.3128777Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3128989Z make_attribute(key, value) 2023-07-07T20:05:31.3128998Z 2023-07-07T20:05:31.3129498Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3129665Z raise ValueError( 2023-07-07T20:05:31.3129673Z 2023-07-07T20:05:31.3130008Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3130017Z 2023-07-07T20:05:31.3130155Z ``` 2023-07-07T20:05:31.3130399Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3130972Z - diagnostic_context: 2023-07-07T20:05:31.3131333Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3131778Z - symbolic_fn: 2023-07-07T20:05:31.3132052Z - torch_args: 2023-07-07T20:05:31.3132298Z - torch_kwargs: 2023-07-07T20:05:31.3132556Z - Return value: 2023-07-07T20:05:31.3133130Z [2023-07-07 19:59:51,782] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_26]. 2023-07-07T20:05:31.3133433Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3133442Z 2023-07-07T20:05:31.3133818Z [2023-07-07 19:59:51,782] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3134151Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3134168Z 2023-07-07T20:05:31.3134516Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3135035Z - self: 2023-07-07T20:05:31.3135519Z - node: fx.Node(convert_element_type_26[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3135752Z - aten_name: 2023-07-07T20:05:31.3136015Z - function_overloads: 2023-07-07T20:05:31.3136248Z - onnx_args: 2023-07-07T20:05:31.3136483Z - onnx_kwargs: 2023-07-07T20:05:31.3136997Z - diagnostic_context: 2023-07-07T20:05:31.3137362Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3137990Z [2023-07-07 19:59:51,785] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_27]. 2023-07-07T20:05:31.3138355Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3138365Z 2023-07-07T20:05:31.3138773Z [2023-07-07 19:59:51,785] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3139155Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3139164Z 2023-07-07T20:05:31.3139515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3140018Z - self: 2023-07-07T20:05:31.3140476Z - node: fx.Node(convert_element_type_27[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3140694Z - aten_name: 2023-07-07T20:05:31.3140953Z - function_overloads: 2023-07-07T20:05:31.3141182Z - onnx_args: 2023-07-07T20:05:31.3141462Z - onnx_kwargs: 2023-07-07T20:05:31.3142059Z - diagnostic_context: 2023-07-07T20:05:31.3142413Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3142927Z [2023-07-07 19:59:51,794] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_13]. 2023-07-07T20:05:31.3143141Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3143491Z [2023-07-07 19:59:51,794] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3143689Z ### Exception log 2023-07-07T20:05:31.3143825Z ``` 2023-07-07T20:05:31.3144019Z Traceback (most recent call last): 2023-07-07T20:05:31.3144029Z 2023-07-07T20:05:31.3144647Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3144874Z torch.testing.assert_close( 2023-07-07T20:05:31.3144883Z 2023-07-07T20:05:31.3145426Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3145574Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3145634Z 2023-07-07T20:05:31.3145891Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3145899Z 2023-07-07T20:05:31.3146092Z Mismatched elements: 117 / 256 (45.7%) 2023-07-07T20:05:31.3146357Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.3146622Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3146631Z 2023-07-07T20:05:31.3146770Z ``` 2023-07-07T20:05:31.3147010Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3147618Z - diagnostic_context: 2023-07-07T20:05:31.3147967Z - node: fx.Node(sqrt_13[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3148202Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3148439Z - torch_args: 2023-07-07T20:05:31.3148726Z - torch_kwargs: 2023-07-07T20:05:31.3148980Z - Return value: 2023-07-07T20:05:31.3149465Z [2023-07-07 19:59:51,797] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_13]. 2023-07-07T20:05:31.3149739Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3149748Z 2023-07-07T20:05:31.3150134Z [2023-07-07 19:59:51,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3150466Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3150550Z 2023-07-07T20:05:31.3150855Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3151356Z - self: 2023-07-07T20:05:31.3151720Z - node: fx.Node(tensor_int_13[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3151983Z - aten_name: 2023-07-07T20:05:31.3152246Z - function_overloads: 2023-07-07T20:05:31.3152484Z - onnx_args: 2023-07-07T20:05:31.3152723Z - onnx_kwargs: 2023-07-07T20:05:31.3153243Z - diagnostic_context: 2023-07-07T20:05:31.3153554Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3154100Z [2023-07-07 19:59:51,811] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_104]. 2023-07-07T20:05:31.3154373Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3154382Z 2023-07-07T20:05:31.3154904Z [2023-07-07 19:59:51,811] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3155287Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3155336Z 2023-07-07T20:05:31.3155689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3156192Z - self: 2023-07-07T20:05:31.3156619Z - node: fx.Node(unsqueeze_104[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3156799Z - aten_name: 2023-07-07T20:05:31.3157059Z - function_overloads: 2023-07-07T20:05:31.3157317Z - onnx_args: 2023-07-07T20:05:31.3157553Z - onnx_kwargs: 2023-07-07T20:05:31.3158119Z - diagnostic_context: 2023-07-07T20:05:31.3158427Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3158949Z [2023-07-07 19:59:51,814] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_105]. 2023-07-07T20:05:31.3159221Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3159233Z 2023-07-07T20:05:31.3159565Z [2023-07-07 19:59:51,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3159941Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3159955Z 2023-07-07T20:05:31.3160305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3160862Z - self: 2023-07-07T20:05:31.3161266Z - node: fx.Node(unsqueeze_105[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3161491Z - aten_name: 2023-07-07T20:05:31.3161749Z - function_overloads: 2023-07-07T20:05:31.3161981Z - onnx_args: 2023-07-07T20:05:31.3162174Z - onnx_kwargs: 2023-07-07T20:05:31.3162744Z - diagnostic_context: 2023-07-07T20:05:31.3163050Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3163573Z [2023-07-07 19:59:51,817] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_106]. 2023-07-07T20:05:31.3163890Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3163899Z 2023-07-07T20:05:31.3164272Z [2023-07-07 19:59:51,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3164760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3164770Z 2023-07-07T20:05:31.3165117Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3165629Z - self: 2023-07-07T20:05:31.3165971Z - node: fx.Node(unsqueeze_106[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3166200Z - aten_name: 2023-07-07T20:05:31.3166464Z - function_overloads: 2023-07-07T20:05:31.3166822Z - onnx_args: 2023-07-07T20:05:31.3167090Z - onnx_kwargs: 2023-07-07T20:05:31.3167656Z - diagnostic_context: 2023-07-07T20:05:31.3167967Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3168439Z [2023-07-07 19:59:51,820] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_107]. 2023-07-07T20:05:31.3168717Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3168727Z 2023-07-07T20:05:31.3169099Z [2023-07-07 19:59:51,820] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3169542Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3169552Z 2023-07-07T20:05:31.3169904Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3170448Z - self: 2023-07-07T20:05:31.3170873Z - node: fx.Node(unsqueeze_107[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3171143Z - aten_name: 2023-07-07T20:05:31.3171407Z - function_overloads: 2023-07-07T20:05:31.3171594Z - onnx_args: 2023-07-07T20:05:31.3171834Z - onnx_kwargs: 2023-07-07T20:05:31.3172399Z - diagnostic_context: 2023-07-07T20:05:31.3172744Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3173259Z [2023-07-07 19:59:51,834] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_108]. 2023-07-07T20:05:31.3173541Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3173551Z 2023-07-07T20:05:31.3173957Z [2023-07-07 19:59:51,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3174339Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3174348Z 2023-07-07T20:05:31.3174652Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3175164Z - self: 2023-07-07T20:05:31.3175555Z - node: fx.Node(unsqueeze_108[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3175790Z - aten_name: 2023-07-07T20:05:31.3176052Z - function_overloads: 2023-07-07T20:05:31.3176288Z - onnx_args: 2023-07-07T20:05:31.3176522Z - onnx_kwargs: 2023-07-07T20:05:31.3177115Z - diagnostic_context: 2023-07-07T20:05:31.3177378Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3177914Z [2023-07-07 19:59:51,836] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_109]. 2023-07-07T20:05:31.3178192Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3178204Z 2023-07-07T20:05:31.3178575Z [2023-07-07 19:59:51,836] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3178957Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3178966Z 2023-07-07T20:05:31.3179350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3179848Z - self: 2023-07-07T20:05:31.3180236Z - node: fx.Node(unsqueeze_109[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3180498Z - aten_name: 2023-07-07T20:05:31.3180718Z - function_overloads: 2023-07-07T20:05:31.3180946Z - onnx_args: 2023-07-07T20:05:31.3181183Z - onnx_kwargs: 2023-07-07T20:05:31.3181780Z - diagnostic_context: 2023-07-07T20:05:31.3182094Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3182607Z [2023-07-07 19:59:51,844] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_110]. 2023-07-07T20:05:31.3182887Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3182896Z 2023-07-07T20:05:31.3183226Z [2023-07-07 19:59:51,844] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3183614Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3183622Z 2023-07-07T20:05:31.3184032Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3184533Z - self: 2023-07-07T20:05:31.3184965Z - node: fx.Node(unsqueeze_110[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3185230Z - aten_name: 2023-07-07T20:05:31.3185535Z - function_overloads: 2023-07-07T20:05:31.3185767Z - onnx_args: 2023-07-07T20:05:31.3185955Z - onnx_kwargs: 2023-07-07T20:05:31.3186518Z - diagnostic_context: 2023-07-07T20:05:31.3186823Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3187373Z [2023-07-07 19:59:51,847] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_111]. 2023-07-07T20:05:31.3187649Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3187658Z 2023-07-07T20:05:31.3188032Z [2023-07-07 19:59:51,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3188421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3188435Z 2023-07-07T20:05:31.3188788Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3189290Z - self: 2023-07-07T20:05:31.3189632Z - node: fx.Node(unsqueeze_111[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3189854Z - aten_name: 2023-07-07T20:05:31.3190115Z - function_overloads: 2023-07-07T20:05:31.3190375Z - onnx_args: 2023-07-07T20:05:31.3190614Z - onnx_kwargs: 2023-07-07T20:05:31.3191225Z - diagnostic_context: 2023-07-07T20:05:31.3191533Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3192024Z [2023-07-07 19:59:51,875] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.3192310Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3192323Z 2023-07-07T20:05:31.3192694Z [2023-07-07 19:59:51,876] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3193074Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3193083Z 2023-07-07T20:05:31.3193436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3193966Z - self: 2023-07-07T20:05:31.3194379Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3194671Z - aten_name: 2023-07-07T20:05:31.3194942Z - function_overloads: 2023-07-07T20:05:31.3195126Z - onnx_args: 2023-07-07T20:05:31.3195356Z - onnx_kwargs: 2023-07-07T20:05:31.3195916Z - diagnostic_context: 2023-07-07T20:05:31.3196359Z - Return value: 2023-07-07T20:05:31.3196905Z [2023-07-07 19:59:51,893] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.3197214Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3197630Z [2023-07-07 19:59:51,894] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3197791Z ### Exception log 2023-07-07T20:05:31.3197884Z ``` 2023-07-07T20:05:31.3198077Z Traceback (most recent call last): 2023-07-07T20:05:31.3198086Z 2023-07-07T20:05:31.3198735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3198977Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3198989Z 2023-07-07T20:05:31.3199481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3199710Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3199719Z 2023-07-07T20:05:31.3200371Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3200568Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3200578Z 2023-07-07T20:05:31.3201060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3201281Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3201290Z 2023-07-07T20:05:31.3201809Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3202084Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3202094Z 2023-07-07T20:05:31.3202711Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3202877Z result = op.Conv( 2023-07-07T20:05:31.3202886Z 2023-07-07T20:05:31.3203461Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3203639Z return op( 2023-07-07T20:05:31.3203648Z 2023-07-07T20:05:31.3204132Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3204378Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3204526Z 2023-07-07T20:05:31.3205034Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3205242Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3205250Z 2023-07-07T20:05:31.3205739Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3205992Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3206001Z 2023-07-07T20:05:31.3206500Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3206836Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3206845Z 2023-07-07T20:05:31.3207350Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3207541Z node.attribute.extend( 2023-07-07T20:05:31.3207550Z 2023-07-07T20:05:31.3208033Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3208221Z make_attribute(key, value) 2023-07-07T20:05:31.3208233Z 2023-07-07T20:05:31.3208718Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3208844Z raise ValueError( 2023-07-07T20:05:31.3208852Z 2023-07-07T20:05:31.3209248Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3209261Z 2023-07-07T20:05:31.3209440Z ``` 2023-07-07T20:05:31.3209681Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3210287Z - diagnostic_context: 2023-07-07T20:05:31.3210687Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3211083Z - symbolic_fn: 2023-07-07T20:05:31.3211315Z - torch_args: 2023-07-07T20:05:31.3211512Z - torch_kwargs: 2023-07-07T20:05:31.3211760Z - Return value: 2023-07-07T20:05:31.3212390Z [2023-07-07 19:59:51,899] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_28]. 2023-07-07T20:05:31.3212741Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3212753Z 2023-07-07T20:05:31.3213133Z [2023-07-07 19:59:51,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3213585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3213597Z 2023-07-07T20:05:31.3213951Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3214460Z - self: 2023-07-07T20:05:31.3214870Z - node: fx.Node(convert_element_type_28[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3215099Z - aten_name: 2023-07-07T20:05:31.3215396Z - function_overloads: 2023-07-07T20:05:31.3215640Z - onnx_args: 2023-07-07T20:05:31.3215872Z - onnx_kwargs: 2023-07-07T20:05:31.3216433Z - diagnostic_context: 2023-07-07T20:05:31.3216815Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3217399Z [2023-07-07 19:59:51,911] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_29]. 2023-07-07T20:05:31.3217656Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3217713Z 2023-07-07T20:05:31.3218037Z [2023-07-07 19:59:51,911] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3218414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3218424Z 2023-07-07T20:05:31.3218783Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3219290Z - self: 2023-07-07T20:05:31.3219757Z - node: fx.Node(convert_element_type_29[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3219984Z - aten_name: 2023-07-07T20:05:31.3220275Z - function_overloads: 2023-07-07T20:05:31.3220512Z - onnx_args: 2023-07-07T20:05:31.3220701Z - onnx_kwargs: 2023-07-07T20:05:31.3221262Z - diagnostic_context: 2023-07-07T20:05:31.3221658Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3222126Z [2023-07-07 19:59:51,936] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_14]. 2023-07-07T20:05:31.3222384Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3222740Z [2023-07-07 19:59:51,936] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3222901Z ### Exception log 2023-07-07T20:05:31.3222995Z ``` 2023-07-07T20:05:31.3223221Z Traceback (most recent call last): 2023-07-07T20:05:31.3223234Z 2023-07-07T20:05:31.3223901Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3224106Z torch.testing.assert_close( 2023-07-07T20:05:31.3224115Z 2023-07-07T20:05:31.3224653Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3224849Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3224860Z 2023-07-07T20:05:31.3225163Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3225172Z 2023-07-07T20:05:31.3225360Z Mismatched elements: 129 / 256 (50.4%) 2023-07-07T20:05:31.3225625Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.3225876Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3225885Z 2023-07-07T20:05:31.3226080Z ``` 2023-07-07T20:05:31.3226318Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3226961Z - diagnostic_context: 2023-07-07T20:05:31.3227306Z - node: fx.Node(sqrt_14[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3227623Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3227860Z - torch_args: 2023-07-07T20:05:31.3228055Z - torch_kwargs: 2023-07-07T20:05:31.3228316Z - Return value: 2023-07-07T20:05:31.3228808Z [2023-07-07 19:59:51,945] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_14]. 2023-07-07T20:05:31.3229110Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3229119Z 2023-07-07T20:05:31.3229493Z [2023-07-07 19:59:51,945] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3229872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3229882Z 2023-07-07T20:05:31.3230239Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3230735Z - self: 2023-07-07T20:05:31.3231104Z - node: fx.Node(tensor_int_14[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3231284Z - aten_name: 2023-07-07T20:05:31.3231538Z - function_overloads: 2023-07-07T20:05:31.3231776Z - onnx_args: 2023-07-07T20:05:31.3232077Z - onnx_kwargs: 2023-07-07T20:05:31.3232638Z - diagnostic_context: 2023-07-07T20:05:31.3232940Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3233457Z [2023-07-07 19:59:51,972] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_112]. 2023-07-07T20:05:31.3233682Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3233750Z 2023-07-07T20:05:31.3234084Z [2023-07-07 19:59:51,972] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3234462Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3234474Z 2023-07-07T20:05:31.3234892Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3235390Z - self: 2023-07-07T20:05:31.3235812Z - node: fx.Node(unsqueeze_112[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3236042Z - aten_name: 2023-07-07T20:05:31.3236301Z - function_overloads: 2023-07-07T20:05:31.3236539Z - onnx_args: 2023-07-07T20:05:31.3236733Z - onnx_kwargs: 2023-07-07T20:05:31.3237292Z - diagnostic_context: 2023-07-07T20:05:31.3237604Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3238154Z [2023-07-07 19:59:51,975] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_113]. 2023-07-07T20:05:31.3238474Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3238488Z 2023-07-07T20:05:31.3238891Z [2023-07-07 19:59:51,975] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3239277Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3239286Z 2023-07-07T20:05:31.3239630Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3240131Z - self: 2023-07-07T20:05:31.3240516Z - node: fx.Node(unsqueeze_113[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3240745Z - aten_name: 2023-07-07T20:05:31.3241040Z - function_overloads: 2023-07-07T20:05:31.3241276Z - onnx_args: 2023-07-07T20:05:31.3241517Z - onnx_kwargs: 2023-07-07T20:05:31.3242107Z - diagnostic_context: 2023-07-07T20:05:31.3242445Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3242914Z [2023-07-07 19:59:51,977] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_114]. 2023-07-07T20:05:31.3243191Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3243200Z 2023-07-07T20:05:31.3243576Z [2023-07-07 19:59:51,978] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3243958Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3243967Z 2023-07-07T20:05:31.3244351Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3244973Z - self: 2023-07-07T20:05:31.3245366Z - node: fx.Node(unsqueeze_114[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3245632Z - aten_name: 2023-07-07T20:05:31.3245893Z - function_overloads: 2023-07-07T20:05:31.3246083Z - onnx_args: 2023-07-07T20:05:31.3246316Z - onnx_kwargs: 2023-07-07T20:05:31.3246876Z - diagnostic_context: 2023-07-07T20:05:31.3440931Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3441746Z [2023-07-07 19:59:51,980] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_115]. 2023-07-07T20:05:31.3442017Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3442030Z 2023-07-07T20:05:31.3442371Z [2023-07-07 19:59:51,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3442731Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3442744Z 2023-07-07T20:05:31.3443064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3443527Z - self: 2023-07-07T20:05:31.3443881Z - node: fx.Node(unsqueeze_115[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3444069Z - aten_name: 2023-07-07T20:05:31.3444294Z - function_overloads: 2023-07-07T20:05:31.3445862Z - onnx_args: 2023-07-07T20:05:31.3446080Z - onnx_kwargs: 2023-07-07T20:05:31.3446608Z - diagnostic_context: 2023-07-07T20:05:31.3446869Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3447358Z [2023-07-07 19:59:51,993] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_116]. 2023-07-07T20:05:31.3447884Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3447899Z 2023-07-07T20:05:31.3448233Z [2023-07-07 19:59:51,993] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3448581Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3448590Z 2023-07-07T20:05:31.3448907Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3449370Z - self: 2023-07-07T20:05:31.3449724Z - node: fx.Node(unsqueeze_116[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3449984Z - aten_name: 2023-07-07T20:05:31.3450199Z - function_overloads: 2023-07-07T20:05:31.3450393Z - onnx_args: 2023-07-07T20:05:31.3450649Z - onnx_kwargs: 2023-07-07T20:05:31.3451178Z - diagnostic_context: 2023-07-07T20:05:31.3451444Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3452019Z [2023-07-07 19:59:51,996] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_117]. 2023-07-07T20:05:31.3452262Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3452272Z 2023-07-07T20:05:31.3452616Z [2023-07-07 19:59:51,996] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3452948Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3452964Z 2023-07-07T20:05:31.3453266Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3453728Z - self: 2023-07-07T20:05:31.3454089Z - node: fx.Node(unsqueeze_117[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3454278Z - aten_name: 2023-07-07T20:05:31.3454513Z - function_overloads: 2023-07-07T20:05:31.3454715Z - onnx_args: 2023-07-07T20:05:31.3454913Z - onnx_kwargs: 2023-07-07T20:05:31.3455430Z - diagnostic_context: 2023-07-07T20:05:31.3455701Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3456180Z [2023-07-07 19:59:52,004] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_118]. 2023-07-07T20:05:31.3456418Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3456429Z 2023-07-07T20:05:31.3456770Z [2023-07-07 19:59:52,004] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3457109Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3457122Z 2023-07-07T20:05:31.3457436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3457897Z - self: 2023-07-07T20:05:31.3458251Z - node: fx.Node(unsqueeze_118[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3458432Z - aten_name: 2023-07-07T20:05:31.3458662Z - function_overloads: 2023-07-07T20:05:31.3458855Z - onnx_args: 2023-07-07T20:05:31.3459052Z - onnx_kwargs: 2023-07-07T20:05:31.3459573Z - diagnostic_context: 2023-07-07T20:05:31.3459841Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3460331Z [2023-07-07 19:59:52,007] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_119]. 2023-07-07T20:05:31.3460559Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3460581Z 2023-07-07T20:05:31.3460939Z [2023-07-07 19:59:52,007] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3461282Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3461291Z 2023-07-07T20:05:31.3461571Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3462041Z - self: 2023-07-07T20:05:31.3462397Z - node: fx.Node(unsqueeze_119[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3462589Z - aten_name: 2023-07-07T20:05:31.3462811Z - function_overloads: 2023-07-07T20:05:31.3463037Z - onnx_args: 2023-07-07T20:05:31.3463227Z - onnx_kwargs: 2023-07-07T20:05:31.3463756Z - diagnostic_context: 2023-07-07T20:05:31.3464059Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3464558Z [2023-07-07 19:59:52,033] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.3464833Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3464842Z 2023-07-07T20:05:31.3465171Z [2023-07-07 19:59:52,033] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3465510Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3465518Z 2023-07-07T20:05:31.3465828Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3466289Z - self: 2023-07-07T20:05:31.3466648Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3466842Z - aten_name: 2023-07-07T20:05:31.3467073Z - function_overloads: 2023-07-07T20:05:31.3467268Z - onnx_args: 2023-07-07T20:05:31.3467469Z - onnx_kwargs: 2023-07-07T20:05:31.3467993Z - diagnostic_context: 2023-07-07T20:05:31.3468352Z - Return value: 2023-07-07T20:05:31.3468831Z [2023-07-07 19:59:52,056] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.3469067Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3469406Z [2023-07-07 19:59:52,056] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3469531Z ### Exception log 2023-07-07T20:05:31.3469641Z ``` 2023-07-07T20:05:31.3469803Z Traceback (most recent call last): 2023-07-07T20:05:31.3469813Z 2023-07-07T20:05:31.3470392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3470597Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3470610Z 2023-07-07T20:05:31.3471054Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3471208Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3471216Z 2023-07-07T20:05:31.3471777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3471933Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3471944Z 2023-07-07T20:05:31.3472392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3472625Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3472634Z 2023-07-07T20:05:31.3473164Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3473395Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3473408Z 2023-07-07T20:05:31.3473980Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3474107Z result = op.Conv( 2023-07-07T20:05:31.3474115Z 2023-07-07T20:05:31.3474600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3474799Z return op( 2023-07-07T20:05:31.3474807Z 2023-07-07T20:05:31.3475259Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3475516Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3475525Z 2023-07-07T20:05:31.3475977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3476238Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3476246Z 2023-07-07T20:05:31.3476731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3476942Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3476950Z 2023-07-07T20:05:31.3477415Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3477713Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3477721Z 2023-07-07T20:05:31.3478151Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3478300Z node.attribute.extend( 2023-07-07T20:05:31.3478309Z 2023-07-07T20:05:31.3478747Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3478900Z make_attribute(key, value) 2023-07-07T20:05:31.3478908Z 2023-07-07T20:05:31.3479364Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3479494Z raise ValueError( 2023-07-07T20:05:31.3479503Z 2023-07-07T20:05:31.3479799Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3479807Z 2023-07-07T20:05:31.3479907Z ``` 2023-07-07T20:05:31.3480120Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3480638Z - diagnostic_context: 2023-07-07T20:05:31.3481004Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3481368Z - symbolic_fn: 2023-07-07T20:05:31.3481567Z - torch_args: 2023-07-07T20:05:31.3481775Z - torch_kwargs: 2023-07-07T20:05:31.3481998Z - Return value: 2023-07-07T20:05:31.3482536Z [2023-07-07 19:59:52,061] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_30]. 2023-07-07T20:05:31.3482812Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3482820Z 2023-07-07T20:05:31.3483146Z [2023-07-07 19:59:52,061] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3483496Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3483505Z 2023-07-07T20:05:31.3483814Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3484285Z - self: 2023-07-07T20:05:31.3484837Z - node: fx.Node(convert_element_type_30[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3485036Z - aten_name: 2023-07-07T20:05:31.3485344Z - function_overloads: 2023-07-07T20:05:31.3485543Z - onnx_args: 2023-07-07T20:05:31.3485732Z - onnx_kwargs: 2023-07-07T20:05:31.3486251Z - diagnostic_context: 2023-07-07T20:05:31.3486563Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3487103Z [2023-07-07 19:59:52,065] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_31]. 2023-07-07T20:05:31.3487371Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3487381Z 2023-07-07T20:05:31.3487788Z [2023-07-07 19:59:52,065] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3488134Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3488195Z 2023-07-07T20:05:31.3488509Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3488970Z - self: 2023-07-07T20:05:31.3489435Z - node: fx.Node(convert_element_type_31[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3489630Z - aten_name: 2023-07-07T20:05:31.3489853Z - function_overloads: 2023-07-07T20:05:31.3490053Z - onnx_args: 2023-07-07T20:05:31.3490249Z - onnx_kwargs: 2023-07-07T20:05:31.3490781Z - diagnostic_context: 2023-07-07T20:05:31.3491097Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3491532Z [2023-07-07 19:59:52,076] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_15]. 2023-07-07T20:05:31.3491758Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3492084Z [2023-07-07 19:59:52,076] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3492209Z ### Exception log 2023-07-07T20:05:31.3492322Z ``` 2023-07-07T20:05:31.3492485Z Traceback (most recent call last): 2023-07-07T20:05:31.3492494Z 2023-07-07T20:05:31.3493076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3493239Z torch.testing.assert_close( 2023-07-07T20:05:31.3493247Z 2023-07-07T20:05:31.3493735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3493879Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3493888Z 2023-07-07T20:05:31.3494162Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3494170Z 2023-07-07T20:05:31.3494324Z Mismatched elements: 261 / 512 (51.0%) 2023-07-07T20:05:31.3494551Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.3494798Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3494807Z 2023-07-07T20:05:31.3494914Z ``` 2023-07-07T20:05:31.3495106Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3495633Z - diagnostic_context: 2023-07-07T20:05:31.3495939Z - node: fx.Node(sqrt_15[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3496185Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3496383Z - torch_args: 2023-07-07T20:05:31.3496590Z - torch_kwargs: 2023-07-07T20:05:31.3496804Z - Return value: 2023-07-07T20:05:31.3497246Z [2023-07-07 19:59:52,080] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_15]. 2023-07-07T20:05:31.3497490Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3497501Z 2023-07-07T20:05:31.3497888Z [2023-07-07 19:59:52,080] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3498237Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3498249Z 2023-07-07T20:05:31.3498558Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3499021Z - self: 2023-07-07T20:05:31.3499343Z - node: fx.Node(tensor_int_15[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3499536Z - aten_name: 2023-07-07T20:05:31.3499757Z - function_overloads: 2023-07-07T20:05:31.3499941Z - onnx_args: 2023-07-07T20:05:31.3500179Z - onnx_kwargs: 2023-07-07T20:05:31.3500702Z - diagnostic_context: 2023-07-07T20:05:31.3500972Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3501496Z [2023-07-07 19:59:52,095] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_120]. 2023-07-07T20:05:31.3501765Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3501776Z 2023-07-07T20:05:31.3502109Z [2023-07-07 19:59:52,095] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3502450Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3502461Z 2023-07-07T20:05:31.3502754Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3503213Z - self: 2023-07-07T20:05:31.3503567Z - node: fx.Node(unsqueeze_120[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3503760Z - aten_name: 2023-07-07T20:05:31.3503985Z - function_overloads: 2023-07-07T20:05:31.3504181Z - onnx_args: 2023-07-07T20:05:31.3504383Z - onnx_kwargs: 2023-07-07T20:05:31.3504909Z - diagnostic_context: 2023-07-07T20:05:31.3505170Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3505648Z [2023-07-07 19:59:52,098] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_121]. 2023-07-07T20:05:31.3505886Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3505895Z 2023-07-07T20:05:31.3506234Z [2023-07-07 19:59:52,098] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3506577Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3506586Z 2023-07-07T20:05:31.3506900Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3507372Z - self: 2023-07-07T20:05:31.3507724Z - node: fx.Node(unsqueeze_121[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3507909Z - aten_name: 2023-07-07T20:05:31.3508131Z - function_overloads: 2023-07-07T20:05:31.3508321Z - onnx_args: 2023-07-07T20:05:31.3508521Z - onnx_kwargs: 2023-07-07T20:05:31.3509041Z - diagnostic_context: 2023-07-07T20:05:31.3509310Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3509795Z [2023-07-07 19:59:52,102] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_122]. 2023-07-07T20:05:31.3510036Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3510045Z 2023-07-07T20:05:31.3510368Z [2023-07-07 19:59:52,102] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3510758Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3510768Z 2023-07-07T20:05:31.3511077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3511538Z - self: 2023-07-07T20:05:31.3511889Z - node: fx.Node(unsqueeze_122[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3512084Z - aten_name: 2023-07-07T20:05:31.3512310Z - function_overloads: 2023-07-07T20:05:31.3512507Z - onnx_args: 2023-07-07T20:05:31.3512695Z - onnx_kwargs: 2023-07-07T20:05:31.3513264Z - diagnostic_context: 2023-07-07T20:05:31.3513535Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3514026Z [2023-07-07 19:59:52,105] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_123]. 2023-07-07T20:05:31.3514323Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3514332Z 2023-07-07T20:05:31.3514779Z [2023-07-07 19:59:52,105] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3515127Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3515136Z 2023-07-07T20:05:31.3515455Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3515919Z - self: 2023-07-07T20:05:31.3516260Z - node: fx.Node(unsqueeze_123[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3516452Z - aten_name: 2023-07-07T20:05:31.3516679Z - function_overloads: 2023-07-07T20:05:31.3516878Z - onnx_args: 2023-07-07T20:05:31.3517079Z - onnx_kwargs: 2023-07-07T20:05:31.3517615Z - diagnostic_context: 2023-07-07T20:05:31.3517877Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3518359Z [2023-07-07 19:59:52,121] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_124]. 2023-07-07T20:05:31.3518603Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3518612Z 2023-07-07T20:05:31.3518944Z [2023-07-07 19:59:52,121] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3519289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3519298Z 2023-07-07T20:05:31.3519610Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3520078Z - self: 2023-07-07T20:05:31.3520440Z - node: fx.Node(unsqueeze_124[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3520635Z - aten_name: 2023-07-07T20:05:31.3520864Z - function_overloads: 2023-07-07T20:05:31.3521052Z - onnx_args: 2023-07-07T20:05:31.3521250Z - onnx_kwargs: 2023-07-07T20:05:31.3521776Z - diagnostic_context: 2023-07-07T20:05:31.3522044Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3522521Z [2023-07-07 19:59:52,124] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_125]. 2023-07-07T20:05:31.3522760Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3522769Z 2023-07-07T20:05:31.3523113Z [2023-07-07 19:59:52,124] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3523455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3523467Z 2023-07-07T20:05:31.3523832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3524282Z - self: 2023-07-07T20:05:31.3525035Z - node: fx.Node(unsqueeze_125[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3525433Z - aten_name: 2023-07-07T20:05:31.3525654Z - function_overloads: 2023-07-07T20:05:31.3525790Z - onnx_args: 2023-07-07T20:05:31.3525906Z - onnx_kwargs: 2023-07-07T20:05:31.3526226Z - diagnostic_context: 2023-07-07T20:05:31.3526375Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3526844Z [2023-07-07 19:59:52,131] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_126]. 2023-07-07T20:05:31.3526992Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3527053Z 2023-07-07T20:05:31.3527259Z [2023-07-07 19:59:52,131] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3527516Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3527523Z 2023-07-07T20:05:31.3527706Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3527976Z - self: 2023-07-07T20:05:31.3528183Z - node: fx.Node(unsqueeze_126[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3528295Z - aten_name: 2023-07-07T20:05:31.3528412Z - function_overloads: 2023-07-07T20:05:31.3528528Z - onnx_args: 2023-07-07T20:05:31.3528643Z - onnx_kwargs: 2023-07-07T20:05:31.3528948Z - diagnostic_context: 2023-07-07T20:05:31.3529110Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3529394Z [2023-07-07 19:59:52,134] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_127]. 2023-07-07T20:05:31.3529538Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3529544Z 2023-07-07T20:05:31.3529743Z [2023-07-07 19:59:52,134] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3529935Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3529941Z 2023-07-07T20:05:31.3530125Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3530393Z - self: 2023-07-07T20:05:31.3530597Z - node: fx.Node(unsqueeze_127[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3530711Z - aten_name: 2023-07-07T20:05:31.3530845Z - function_overloads: 2023-07-07T20:05:31.3530958Z - onnx_args: 2023-07-07T20:05:31.3531072Z - onnx_kwargs: 2023-07-07T20:05:31.3531366Z - diagnostic_context: 2023-07-07T20:05:31.3531519Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3531803Z [2023-07-07 19:59:52,156] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.3531949Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3531955Z 2023-07-07T20:05:31.3532151Z [2023-07-07 19:59:52,156] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3532356Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3532362Z 2023-07-07T20:05:31.3532548Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3532865Z - self: 2023-07-07T20:05:31.3533083Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3533185Z - aten_name: 2023-07-07T20:05:31.3533315Z - function_overloads: 2023-07-07T20:05:31.3533429Z - onnx_args: 2023-07-07T20:05:31.3533543Z - onnx_kwargs: 2023-07-07T20:05:31.3533848Z - diagnostic_context: 2023-07-07T20:05:31.3534059Z - Return value: 2023-07-07T20:05:31.3534376Z [2023-07-07 19:59:52,234] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.3534510Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3534710Z [2023-07-07 19:59:52,234] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3534817Z ### Exception log 2023-07-07T20:05:31.3534878Z ``` 2023-07-07T20:05:31.3534971Z Traceback (most recent call last): 2023-07-07T20:05:31.3535040Z 2023-07-07T20:05:31.3535375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3535495Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3535501Z 2023-07-07T20:05:31.3535763Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3535845Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3535863Z 2023-07-07T20:05:31.3536168Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3536263Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3536271Z 2023-07-07T20:05:31.3536530Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3536666Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3536674Z 2023-07-07T20:05:31.3536948Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3537085Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3537090Z 2023-07-07T20:05:31.3537421Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3537498Z result = op.Conv( 2023-07-07T20:05:31.3537504Z 2023-07-07T20:05:31.3537789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3537847Z return op( 2023-07-07T20:05:31.3537852Z 2023-07-07T20:05:31.3538112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3538239Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3538246Z 2023-07-07T20:05:31.3538504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3538633Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3538639Z 2023-07-07T20:05:31.3538896Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3539018Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3539024Z 2023-07-07T20:05:31.3539288Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3539463Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3539469Z 2023-07-07T20:05:31.3539759Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3539840Z node.attribute.extend( 2023-07-07T20:05:31.3539848Z 2023-07-07T20:05:31.3540106Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3540192Z make_attribute(key, value) 2023-07-07T20:05:31.3540199Z 2023-07-07T20:05:31.3540460Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3540540Z raise ValueError( 2023-07-07T20:05:31.3540545Z 2023-07-07T20:05:31.3540716Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3540722Z 2023-07-07T20:05:31.3540781Z ``` 2023-07-07T20:05:31.3540928Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3541236Z - diagnostic_context: 2023-07-07T20:05:31.3541471Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3541683Z - symbolic_fn: 2023-07-07T20:05:31.3541833Z - torch_args: 2023-07-07T20:05:31.3541952Z - torch_kwargs: 2023-07-07T20:05:31.3542082Z - Return value: 2023-07-07T20:05:31.3542396Z [2023-07-07 19:59:52,240] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_32]. 2023-07-07T20:05:31.3542555Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3542561Z 2023-07-07T20:05:31.3542758Z [2023-07-07 19:59:52,240] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3542958Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3542974Z 2023-07-07T20:05:31.3543146Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3543420Z - self: 2023-07-07T20:05:31.3543662Z - node: fx.Node(convert_element_type_32[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3543774Z - aten_name: 2023-07-07T20:05:31.3543907Z - function_overloads: 2023-07-07T20:05:31.3544024Z - onnx_args: 2023-07-07T20:05:31.3544141Z - onnx_kwargs: 2023-07-07T20:05:31.3544433Z - diagnostic_context: 2023-07-07T20:05:31.3544615Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3544934Z [2023-07-07 19:59:52,243] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_33]. 2023-07-07T20:05:31.3545092Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3545100Z 2023-07-07T20:05:31.3545298Z [2023-07-07 19:59:52,243] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3545498Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3545506Z 2023-07-07T20:05:31.3545689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3545956Z - self: 2023-07-07T20:05:31.3546194Z - node: fx.Node(convert_element_type_33[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3546297Z - aten_name: 2023-07-07T20:05:31.3546426Z - function_overloads: 2023-07-07T20:05:31.3546541Z - onnx_args: 2023-07-07T20:05:31.3546657Z - onnx_kwargs: 2023-07-07T20:05:31.3546958Z - diagnostic_context: 2023-07-07T20:05:31.3547177Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3547432Z [2023-07-07 19:59:52,252] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_16]. 2023-07-07T20:05:31.3547556Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3547742Z [2023-07-07 19:59:52,252] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3547814Z ### Exception log 2023-07-07T20:05:31.3547876Z ``` 2023-07-07T20:05:31.3547971Z Traceback (most recent call last): 2023-07-07T20:05:31.3547976Z 2023-07-07T20:05:31.3548308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3548402Z torch.testing.assert_close( 2023-07-07T20:05:31.3548437Z 2023-07-07T20:05:31.3548722Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3548856Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3548862Z 2023-07-07T20:05:31.3549008Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3549013Z 2023-07-07T20:05:31.3549132Z Mismatched elements: 255 / 512 (49.8%) 2023-07-07T20:05:31.3549265Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.3549400Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3549406Z 2023-07-07T20:05:31.3549467Z ``` 2023-07-07T20:05:31.3549587Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3549892Z - diagnostic_context: 2023-07-07T20:05:31.3550069Z - node: fx.Node(sqrt_16[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3550205Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3550322Z - torch_args: 2023-07-07T20:05:31.3550440Z - torch_kwargs: 2023-07-07T20:05:31.3550571Z - Return value: 2023-07-07T20:05:31.3550833Z [2023-07-07 19:59:52,256] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_16]. 2023-07-07T20:05:31.3550976Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3550981Z 2023-07-07T20:05:31.3551175Z [2023-07-07 19:59:52,256] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3551375Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3551381Z 2023-07-07T20:05:31.3551551Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3551818Z - self: 2023-07-07T20:05:31.3552006Z - node: fx.Node(tensor_int_16[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3552120Z - aten_name: 2023-07-07T20:05:31.3552249Z - function_overloads: 2023-07-07T20:05:31.3552367Z - onnx_args: 2023-07-07T20:05:31.3552485Z - onnx_kwargs: 2023-07-07T20:05:31.3552779Z - diagnostic_context: 2023-07-07T20:05:31.3552936Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3553213Z [2023-07-07 19:59:52,269] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_128]. 2023-07-07T20:05:31.3553353Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3553359Z 2023-07-07T20:05:31.3553554Z [2023-07-07 19:59:52,269] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3553757Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3553765Z 2023-07-07T20:05:31.3553946Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3554250Z - self: 2023-07-07T20:05:31.3554456Z - node: fx.Node(unsqueeze_128[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3554559Z - aten_name: 2023-07-07T20:05:31.3554791Z - function_overloads: 2023-07-07T20:05:31.3554915Z - onnx_args: 2023-07-07T20:05:31.3555034Z - onnx_kwargs: 2023-07-07T20:05:31.3555336Z - diagnostic_context: 2023-07-07T20:05:31.3555494Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3555780Z [2023-07-07 19:59:52,272] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_129]. 2023-07-07T20:05:31.3555960Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3555967Z 2023-07-07T20:05:31.3556155Z [2023-07-07 19:59:52,272] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3556396Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3556403Z 2023-07-07T20:05:31.3556586Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3556886Z - self: 2023-07-07T20:05:31.3557093Z - node: fx.Node(unsqueeze_129[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3557207Z - aten_name: 2023-07-07T20:05:31.3557339Z - function_overloads: 2023-07-07T20:05:31.3557454Z - onnx_args: 2023-07-07T20:05:31.3557559Z - onnx_kwargs: 2023-07-07T20:05:31.3557867Z - diagnostic_context: 2023-07-07T20:05:31.3558026Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3558307Z [2023-07-07 19:59:52,274] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_130]. 2023-07-07T20:05:31.3558453Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3558459Z 2023-07-07T20:05:31.3558660Z [2023-07-07 19:59:52,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3558863Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3558868Z 2023-07-07T20:05:31.3559052Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3559320Z - self: 2023-07-07T20:05:31.3559514Z - node: fx.Node(unsqueeze_130[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3559631Z - aten_name: 2023-07-07T20:05:31.3559764Z - function_overloads: 2023-07-07T20:05:31.3559883Z - onnx_args: 2023-07-07T20:05:31.3559999Z - onnx_kwargs: 2023-07-07T20:05:31.3560309Z - diagnostic_context: 2023-07-07T20:05:31.3560467Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3560735Z [2023-07-07 19:59:52,277] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_131]. 2023-07-07T20:05:31.3560877Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3560883Z 2023-07-07T20:05:31.3561077Z [2023-07-07 19:59:52,278] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3561280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3561285Z 2023-07-07T20:05:31.3561469Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3561739Z - self: 2023-07-07T20:05:31.3561952Z - node: fx.Node(unsqueeze_131[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3562110Z - aten_name: 2023-07-07T20:05:31.3562252Z - function_overloads: 2023-07-07T20:05:31.3562360Z - onnx_args: 2023-07-07T20:05:31.3562479Z - onnx_kwargs: 2023-07-07T20:05:31.3562782Z - diagnostic_context: 2023-07-07T20:05:31.3562944Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3563230Z [2023-07-07 19:59:52,289] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_132]. 2023-07-07T20:05:31.3563376Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3563382Z 2023-07-07T20:05:31.3563612Z [2023-07-07 19:59:52,289] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3563819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3563855Z 2023-07-07T20:05:31.3564030Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3564312Z - self: 2023-07-07T20:05:31.3564886Z - node: fx.Node(unsqueeze_132[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3565060Z - aten_name: 2023-07-07T20:05:31.3565273Z - function_overloads: 2023-07-07T20:05:31.3565470Z - onnx_args: 2023-07-07T20:05:31.3565651Z - onnx_kwargs: 2023-07-07T20:05:31.3566081Z - diagnostic_context: 2023-07-07T20:05:31.3566325Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3566762Z [2023-07-07 19:59:52,292] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_133]. 2023-07-07T20:05:31.3566991Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3567011Z 2023-07-07T20:05:31.3567478Z [2023-07-07 19:59:52,292] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3567850Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3567868Z 2023-07-07T20:05:31.3568193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3568686Z - self: 2023-07-07T20:05:31.3569062Z - node: fx.Node(unsqueeze_133[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3569271Z - aten_name: 2023-07-07T20:05:31.3569507Z - function_overloads: 2023-07-07T20:05:31.3569738Z - onnx_args: 2023-07-07T20:05:31.3569975Z - onnx_kwargs: 2023-07-07T20:05:31.3570636Z - diagnostic_context: 2023-07-07T20:05:31.3570930Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3571454Z [2023-07-07 19:59:52,299] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_134]. 2023-07-07T20:05:31.3571726Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3571738Z 2023-07-07T20:05:31.3572071Z [2023-07-07 19:59:52,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3572420Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3572430Z 2023-07-07T20:05:31.3572758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3573295Z - self: 2023-07-07T20:05:31.3573806Z - node: fx.Node(unsqueeze_134[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3574000Z - aten_name: 2023-07-07T20:05:31.3574228Z - function_overloads: 2023-07-07T20:05:31.3574585Z - onnx_args: 2023-07-07T20:05:31.3574780Z - onnx_kwargs: 2023-07-07T20:05:31.3575282Z - diagnostic_context: 2023-07-07T20:05:31.3575573Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3576072Z [2023-07-07 19:59:52,302] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_135]. 2023-07-07T20:05:31.3576319Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3576331Z 2023-07-07T20:05:31.3576695Z [2023-07-07 19:59:52,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3577118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3577132Z 2023-07-07T20:05:31.3577492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3578061Z - self: 2023-07-07T20:05:31.3578430Z - node: fx.Node(unsqueeze_135[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3578721Z - aten_name: 2023-07-07T20:05:31.3578967Z - function_overloads: 2023-07-07T20:05:31.3579188Z - onnx_args: 2023-07-07T20:05:31.3579395Z - onnx_kwargs: 2023-07-07T20:05:31.3579879Z - diagnostic_context: 2023-07-07T20:05:31.3580268Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3580778Z [2023-07-07 19:59:52,310] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.3581038Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3581050Z 2023-07-07T20:05:31.3581425Z [2023-07-07 19:59:52,311] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3581805Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3581822Z 2023-07-07T20:05:31.3582210Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3582750Z - self: 2023-07-07T20:05:31.3583237Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3583465Z - aten_name: 2023-07-07T20:05:31.3583711Z - function_overloads: 2023-07-07T20:05:31.3583906Z - onnx_args: 2023-07-07T20:05:31.3584128Z - onnx_kwargs: 2023-07-07T20:05:31.3584793Z - diagnostic_context: 2023-07-07T20:05:31.3585200Z - Return value: 2023-07-07T20:05:31.3585838Z [2023-07-07 19:59:52,337] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.3586151Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3586690Z [2023-07-07 19:59:52,337] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3586856Z ### Exception log 2023-07-07T20:05:31.3586960Z ``` 2023-07-07T20:05:31.3587144Z Traceback (most recent call last): 2023-07-07T20:05:31.3587154Z 2023-07-07T20:05:31.3587705Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3587892Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3587903Z 2023-07-07T20:05:31.3588383Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3588553Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3588565Z 2023-07-07T20:05:31.3589205Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3589372Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3589383Z 2023-07-07T20:05:31.3589836Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3590065Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3590092Z 2023-07-07T20:05:31.3590591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3590834Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3590843Z 2023-07-07T20:05:31.3591511Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3591650Z result = op.Conv( 2023-07-07T20:05:31.3591705Z 2023-07-07T20:05:31.3592177Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3592343Z return op( 2023-07-07T20:05:31.3592352Z 2023-07-07T20:05:31.3592782Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3593021Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3593034Z 2023-07-07T20:05:31.3593431Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3593606Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3593615Z 2023-07-07T20:05:31.3594026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3594224Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3594233Z 2023-07-07T20:05:31.3594775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3595098Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3595112Z 2023-07-07T20:05:31.3595514Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3595641Z node.attribute.extend( 2023-07-07T20:05:31.3595650Z 2023-07-07T20:05:31.3596018Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3596140Z make_attribute(key, value) 2023-07-07T20:05:31.3596148Z 2023-07-07T20:05:31.3596547Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3596654Z raise ValueError( 2023-07-07T20:05:31.3596662Z 2023-07-07T20:05:31.3596941Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3596953Z 2023-07-07T20:05:31.3597055Z ``` 2023-07-07T20:05:31.3597247Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3597771Z - diagnostic_context: 2023-07-07T20:05:31.3598165Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3598552Z - symbolic_fn: 2023-07-07T20:05:31.3598741Z - torch_args: 2023-07-07T20:05:31.3598912Z - torch_kwargs: 2023-07-07T20:05:31.3599119Z - Return value: 2023-07-07T20:05:31.3599643Z [2023-07-07 19:59:52,343] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_34]. 2023-07-07T20:05:31.3599910Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3599921Z 2023-07-07T20:05:31.3600244Z [2023-07-07 19:59:52,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3600672Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3600689Z 2023-07-07T20:05:31.3601019Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3601507Z - self: 2023-07-07T20:05:31.3601878Z - node: fx.Node(convert_element_type_34[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3602047Z - aten_name: 2023-07-07T20:05:31.3602258Z - function_overloads: 2023-07-07T20:05:31.3602455Z - onnx_args: 2023-07-07T20:05:31.3602649Z - onnx_kwargs: 2023-07-07T20:05:31.3603273Z - diagnostic_context: 2023-07-07T20:05:31.3603614Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3604232Z [2023-07-07 19:59:52,346] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_35]. 2023-07-07T20:05:31.3604693Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3604723Z 2023-07-07T20:05:31.3605095Z [2023-07-07 19:59:52,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3605442Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3605452Z 2023-07-07T20:05:31.3605735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3606179Z - self: 2023-07-07T20:05:31.3606593Z - node: fx.Node(convert_element_type_35[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3606784Z - aten_name: 2023-07-07T20:05:31.3606993Z - function_overloads: 2023-07-07T20:05:31.3607183Z - onnx_args: 2023-07-07T20:05:31.3607380Z - onnx_kwargs: 2023-07-07T20:05:31.3607911Z - diagnostic_context: 2023-07-07T20:05:31.3608224Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3608666Z [2023-07-07 19:59:52,355] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_17]. 2023-07-07T20:05:31.3608893Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3609241Z [2023-07-07 19:59:52,355] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3609367Z ### Exception log 2023-07-07T20:05:31.3609457Z ``` 2023-07-07T20:05:31.3609633Z Traceback (most recent call last): 2023-07-07T20:05:31.3609644Z 2023-07-07T20:05:31.3610245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3610420Z torch.testing.assert_close( 2023-07-07T20:05:31.3610431Z 2023-07-07T20:05:31.3610916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3611059Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3611067Z 2023-07-07T20:05:31.3611315Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3611323Z 2023-07-07T20:05:31.3611467Z Mismatched elements: 235 / 512 (45.9%) 2023-07-07T20:05:31.3611708Z Greatest absolute difference: nan at index (4,) (up to 0.001 allowed) 2023-07-07T20:05:31.3611943Z Greatest relative difference: nan at index (4,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3611953Z 2023-07-07T20:05:31.3612067Z ``` 2023-07-07T20:05:31.3612273Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3612854Z - diagnostic_context: 2023-07-07T20:05:31.3613205Z - node: fx.Node(sqrt_17[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3613590Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3613799Z - torch_args: 2023-07-07T20:05:31.3613989Z - torch_kwargs: 2023-07-07T20:05:31.3614188Z - Return value: 2023-07-07T20:05:31.3614626Z [2023-07-07 19:59:52,359] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_17]. 2023-07-07T20:05:31.3614871Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3614882Z 2023-07-07T20:05:31.3615237Z [2023-07-07 19:59:52,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3615608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3615726Z 2023-07-07T20:05:31.3616056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3616676Z - self: 2023-07-07T20:05:31.3616972Z - node: fx.Node(tensor_int_17[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3617249Z - aten_name: 2023-07-07T20:05:31.3617493Z - function_overloads: 2023-07-07T20:05:31.3617682Z - onnx_args: 2023-07-07T20:05:31.3617883Z - onnx_kwargs: 2023-07-07T20:05:31.3618457Z - diagnostic_context: 2023-07-07T20:05:31.3618758Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3619292Z [2023-07-07 19:59:52,372] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_136]. 2023-07-07T20:05:31.3619566Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3619578Z 2023-07-07T20:05:31.3619923Z [2023-07-07 19:59:52,372] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3620311Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3620324Z 2023-07-07T20:05:31.3620672Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3621118Z - self: 2023-07-07T20:05:31.3621457Z - node: fx.Node(unsqueeze_136[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3621621Z - aten_name: 2023-07-07T20:05:31.3621831Z - function_overloads: 2023-07-07T20:05:31.3621985Z - onnx_args: 2023-07-07T20:05:31.3622131Z - onnx_kwargs: 2023-07-07T20:05:31.3622577Z - diagnostic_context: 2023-07-07T20:05:31.3622808Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3623274Z [2023-07-07 19:59:52,375] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_137]. 2023-07-07T20:05:31.3623492Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3623502Z 2023-07-07T20:05:31.3623797Z [2023-07-07 19:59:52,375] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3624113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3624124Z 2023-07-07T20:05:31.3624424Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3624843Z - self: 2023-07-07T20:05:31.3625138Z - node: fx.Node(unsqueeze_137[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3625331Z - aten_name: 2023-07-07T20:05:31.3625538Z - function_overloads: 2023-07-07T20:05:31.3625710Z - onnx_args: 2023-07-07T20:05:31.3625889Z - onnx_kwargs: 2023-07-07T20:05:31.3626465Z - diagnostic_context: 2023-07-07T20:05:31.3626700Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3627114Z [2023-07-07 19:59:52,378] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_138]. 2023-07-07T20:05:31.3627334Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3627343Z 2023-07-07T20:05:31.3627662Z [2023-07-07 19:59:52,378] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3627941Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3627951Z 2023-07-07T20:05:31.3628310Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3628728Z - self: 2023-07-07T20:05:31.3629053Z - node: fx.Node(unsqueeze_138[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3629325Z - aten_name: 2023-07-07T20:05:31.3629526Z - function_overloads: 2023-07-07T20:05:31.3629740Z - onnx_args: 2023-07-07T20:05:31.3629914Z - onnx_kwargs: 2023-07-07T20:05:31.3630368Z - diagnostic_context: 2023-07-07T20:05:31.3630633Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3631090Z [2023-07-07 19:59:52,381] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_139]. 2023-07-07T20:05:31.3631314Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3631326Z 2023-07-07T20:05:31.3631644Z [2023-07-07 19:59:52,381] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3631998Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3632013Z 2023-07-07T20:05:31.3632306Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3632807Z - self: 2023-07-07T20:05:31.3633201Z - node: fx.Node(unsqueeze_139[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3633413Z - aten_name: 2023-07-07T20:05:31.3633634Z - function_overloads: 2023-07-07T20:05:31.3633838Z - onnx_args: 2023-07-07T20:05:31.3634056Z - onnx_kwargs: 2023-07-07T20:05:31.3634704Z - diagnostic_context: 2023-07-07T20:05:31.3634985Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3635515Z [2023-07-07 19:59:52,393] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_140]. 2023-07-07T20:05:31.3635781Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3635797Z 2023-07-07T20:05:31.3636170Z [2023-07-07 19:59:52,393] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3636551Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3636565Z 2023-07-07T20:05:31.3636917Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3637426Z - self: 2023-07-07T20:05:31.3637769Z - node: fx.Node(unsqueeze_140[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3637959Z - aten_name: 2023-07-07T20:05:31.3638176Z - function_overloads: 2023-07-07T20:05:31.3638373Z - onnx_args: 2023-07-07T20:05:31.3638586Z - onnx_kwargs: 2023-07-07T20:05:31.3639168Z - diagnostic_context: 2023-07-07T20:05:31.3639552Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3640090Z [2023-07-07 19:59:52,396] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_141]. 2023-07-07T20:05:31.3640361Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3640372Z 2023-07-07T20:05:31.3640722Z [2023-07-07 19:59:52,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3641103Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3641113Z 2023-07-07T20:05:31.3641462Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3642014Z - self: 2023-07-07T20:05:31.3642400Z - node: fx.Node(unsqueeze_141[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3642586Z - aten_name: 2023-07-07T20:05:31.3642866Z - function_overloads: 2023-07-07T20:05:31.3643046Z - onnx_args: 2023-07-07T20:05:31.3643217Z - onnx_kwargs: 2023-07-07T20:05:31.3643729Z - diagnostic_context: 2023-07-07T20:05:31.3643964Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3644361Z [2023-07-07 19:59:52,403] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_142]. 2023-07-07T20:05:31.3652872Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3652886Z 2023-07-07T20:05:31.3653294Z [2023-07-07 19:59:52,403] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3653673Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3653686Z 2023-07-07T20:05:31.3654076Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3654516Z - self: 2023-07-07T20:05:31.3654823Z - node: fx.Node(unsqueeze_142[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3654994Z - aten_name: 2023-07-07T20:05:31.3655189Z - function_overloads: 2023-07-07T20:05:31.3655376Z - onnx_args: 2023-07-07T20:05:31.3655545Z - onnx_kwargs: 2023-07-07T20:05:31.3656106Z - diagnostic_context: 2023-07-07T20:05:31.3656393Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3656903Z [2023-07-07 19:59:52,406] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_143]. 2023-07-07T20:05:31.3657167Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3657179Z 2023-07-07T20:05:31.3657539Z [2023-07-07 19:59:52,406] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3657904Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3657921Z 2023-07-07T20:05:31.3658270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3658829Z - self: 2023-07-07T20:05:31.3659274Z - node: fx.Node(unsqueeze_143[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3659499Z - aten_name: 2023-07-07T20:05:31.3659731Z - function_overloads: 2023-07-07T20:05:31.3659921Z - onnx_args: 2023-07-07T20:05:31.3660134Z - onnx_kwargs: 2023-07-07T20:05:31.3660696Z - diagnostic_context: 2023-07-07T20:05:31.3660973Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3661649Z [2023-07-07 19:59:52,433] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.3661932Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3661948Z 2023-07-07T20:05:31.3662313Z [2023-07-07 19:59:52,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3662808Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3662817Z 2023-07-07T20:05:31.3663138Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3663535Z - self: 2023-07-07T20:05:31.3663967Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3664172Z - aten_name: 2023-07-07T20:05:31.3664404Z - function_overloads: 2023-07-07T20:05:31.3664602Z - onnx_args: 2023-07-07T20:05:31.3664858Z - onnx_kwargs: 2023-07-07T20:05:31.3665384Z - diagnostic_context: 2023-07-07T20:05:31.3665760Z - Return value: 2023-07-07T20:05:31.3666294Z [2023-07-07 19:59:52,496] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.3666558Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3666910Z [2023-07-07 19:59:52,496] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3667042Z ### Exception log 2023-07-07T20:05:31.3667150Z ``` 2023-07-07T20:05:31.3667325Z Traceback (most recent call last): 2023-07-07T20:05:31.3667337Z 2023-07-07T20:05:31.3667967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3668169Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3668193Z 2023-07-07T20:05:31.3668612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3668754Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3668764Z 2023-07-07T20:05:31.3669407Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3669582Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3669595Z 2023-07-07T20:05:31.3670068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3670317Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3670327Z 2023-07-07T20:05:31.3670898Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3671182Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3671197Z 2023-07-07T20:05:31.3671895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3672041Z result = op.Conv( 2023-07-07T20:05:31.3672052Z 2023-07-07T20:05:31.3672577Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3672710Z return op( 2023-07-07T20:05:31.3672721Z 2023-07-07T20:05:31.3673292Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3673502Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3673511Z 2023-07-07T20:05:31.3674034Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3674315Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3674331Z 2023-07-07T20:05:31.3675103Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3675368Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3675384Z 2023-07-07T20:05:31.3676006Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3676265Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3676274Z 2023-07-07T20:05:31.3676683Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3676835Z node.attribute.extend( 2023-07-07T20:05:31.3676845Z 2023-07-07T20:05:31.3677366Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3677510Z make_attribute(key, value) 2023-07-07T20:05:31.3677517Z 2023-07-07T20:05:31.3677965Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3678087Z raise ValueError( 2023-07-07T20:05:31.3678095Z 2023-07-07T20:05:31.3678417Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3678428Z 2023-07-07T20:05:31.3678536Z ``` 2023-07-07T20:05:31.3678739Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3679309Z - diagnostic_context: 2023-07-07T20:05:31.3679701Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3680087Z - symbolic_fn: 2023-07-07T20:05:31.3680308Z - torch_args: 2023-07-07T20:05:31.3680530Z - torch_kwargs: 2023-07-07T20:05:31.3680747Z - Return value: 2023-07-07T20:05:31.3681268Z [2023-07-07 19:59:52,501] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_36]. 2023-07-07T20:05:31.3681515Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3681539Z 2023-07-07T20:05:31.3681878Z [2023-07-07 19:59:52,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3682178Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3682188Z 2023-07-07T20:05:31.3682456Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3682881Z - self: 2023-07-07T20:05:31.3683279Z - node: fx.Node(convert_element_type_36[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3683485Z - aten_name: 2023-07-07T20:05:31.3683734Z - function_overloads: 2023-07-07T20:05:31.3683909Z - onnx_args: 2023-07-07T20:05:31.3684083Z - onnx_kwargs: 2023-07-07T20:05:31.3684709Z - diagnostic_context: 2023-07-07T20:05:31.3684987Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3685473Z [2023-07-07 19:59:52,505] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_37]. 2023-07-07T20:05:31.3685724Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3685735Z 2023-07-07T20:05:31.3686055Z [2023-07-07 19:59:52,505] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3686391Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3686401Z 2023-07-07T20:05:31.3686693Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3687332Z - self: 2023-07-07T20:05:31.3687729Z - node: fx.Node(convert_element_type_37[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3687911Z - aten_name: 2023-07-07T20:05:31.3688124Z - function_overloads: 2023-07-07T20:05:31.3688299Z - onnx_args: 2023-07-07T20:05:31.3688496Z - onnx_kwargs: 2023-07-07T20:05:31.3689006Z - diagnostic_context: 2023-07-07T20:05:31.3689297Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3689681Z [2023-07-07 19:59:52,514] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_18]. 2023-07-07T20:05:31.3690045Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3690385Z [2023-07-07 19:59:52,514] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3690557Z ### Exception log 2023-07-07T20:05:31.3690645Z ``` 2023-07-07T20:05:31.3690801Z Traceback (most recent call last): 2023-07-07T20:05:31.3690812Z 2023-07-07T20:05:31.3691378Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3691589Z torch.testing.assert_close( 2023-07-07T20:05:31.3691616Z 2023-07-07T20:05:31.3692108Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3692282Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3692292Z 2023-07-07T20:05:31.3692557Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3692567Z 2023-07-07T20:05:31.3692716Z Mismatched elements: 262 / 512 (51.2%) 2023-07-07T20:05:31.3692954Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.3693188Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3693201Z 2023-07-07T20:05:31.3693295Z ``` 2023-07-07T20:05:31.3693515Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3694060Z - diagnostic_context: 2023-07-07T20:05:31.3694361Z - node: fx.Node(sqrt_18[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3694601Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3694807Z - torch_args: 2023-07-07T20:05:31.3695004Z - torch_kwargs: 2023-07-07T20:05:31.3695227Z - Return value: 2023-07-07T20:05:31.3695639Z [2023-07-07 19:59:52,517] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_18]. 2023-07-07T20:05:31.3695861Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3695889Z 2023-07-07T20:05:31.3696212Z [2023-07-07 19:59:52,518] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3696556Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3696570Z 2023-07-07T20:05:31.3696871Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3697351Z - self: 2023-07-07T20:05:31.3697694Z - node: fx.Node(tensor_int_18[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3697894Z - aten_name: 2023-07-07T20:05:31.3698128Z - function_overloads: 2023-07-07T20:05:31.3698338Z - onnx_args: 2023-07-07T20:05:31.3698530Z - onnx_kwargs: 2023-07-07T20:05:31.3699074Z - diagnostic_context: 2023-07-07T20:05:31.3699363Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3699789Z [2023-07-07 19:59:52,531] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_144]. 2023-07-07T20:05:31.3700127Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3700141Z 2023-07-07T20:05:31.3700514Z [2023-07-07 19:59:52,531] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3700890Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3700903Z 2023-07-07T20:05:31.3701242Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3701759Z - self: 2023-07-07T20:05:31.3702070Z - node: fx.Node(unsqueeze_144[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3702256Z - aten_name: 2023-07-07T20:05:31.3702546Z - function_overloads: 2023-07-07T20:05:31.3702735Z - onnx_args: 2023-07-07T20:05:31.3702935Z - onnx_kwargs: 2023-07-07T20:05:31.3703543Z - diagnostic_context: 2023-07-07T20:05:31.3703835Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3704369Z [2023-07-07 19:59:52,534] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_145]. 2023-07-07T20:05:31.3704620Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3704632Z 2023-07-07T20:05:31.3704983Z [2023-07-07 19:59:52,534] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3705287Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3705299Z 2023-07-07T20:05:31.3705646Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3706116Z - self: 2023-07-07T20:05:31.3706508Z - node: fx.Node(unsqueeze_145[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3706728Z - aten_name: 2023-07-07T20:05:31.3706973Z - function_overloads: 2023-07-07T20:05:31.3707177Z - onnx_args: 2023-07-07T20:05:31.3707391Z - onnx_kwargs: 2023-07-07T20:05:31.3707977Z - diagnostic_context: 2023-07-07T20:05:31.3708273Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3708798Z [2023-07-07 19:59:52,537] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_146]. 2023-07-07T20:05:31.3709065Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3709076Z 2023-07-07T20:05:31.3709392Z [2023-07-07 19:59:52,537] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3709720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3709734Z 2023-07-07T20:05:31.3709997Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3710368Z - self: 2023-07-07T20:05:31.3710680Z - node: fx.Node(unsqueeze_146[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3710852Z - aten_name: 2023-07-07T20:05:31.3711052Z - function_overloads: 2023-07-07T20:05:31.3711258Z - onnx_args: 2023-07-07T20:05:31.3711448Z - onnx_kwargs: 2023-07-07T20:05:31.3711888Z - diagnostic_context: 2023-07-07T20:05:31.3712130Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3712594Z [2023-07-07 19:59:52,773] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_147]. 2023-07-07T20:05:31.3712801Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3712813Z 2023-07-07T20:05:31.3713230Z [2023-07-07 19:59:52,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3713557Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3713571Z 2023-07-07T20:05:31.3713853Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3714265Z - self: 2023-07-07T20:05:31.3714568Z - node: fx.Node(unsqueeze_147[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3714835Z - aten_name: 2023-07-07T20:05:31.3715055Z - function_overloads: 2023-07-07T20:05:31.3715221Z - onnx_args: 2023-07-07T20:05:31.3715545Z - onnx_kwargs: 2023-07-07T20:05:31.3716011Z - diagnostic_context: 2023-07-07T20:05:31.3716311Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3716756Z [2023-07-07 19:59:52,783] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_148]. 2023-07-07T20:05:31.3717038Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3717049Z 2023-07-07T20:05:31.3717349Z [2023-07-07 19:59:52,783] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3717656Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3717666Z 2023-07-07T20:05:31.3717944Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3718407Z - self: 2023-07-07T20:05:31.3718739Z - node: fx.Node(unsqueeze_148[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3718917Z - aten_name: 2023-07-07T20:05:31.3719128Z - function_overloads: 2023-07-07T20:05:31.3719324Z - onnx_args: 2023-07-07T20:05:31.3719517Z - onnx_kwargs: 2023-07-07T20:05:31.3720054Z - diagnostic_context: 2023-07-07T20:05:31.3720348Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3720873Z [2023-07-07 19:59:52,785] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_149]. 2023-07-07T20:05:31.3721141Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3721153Z 2023-07-07T20:05:31.3721526Z [2023-07-07 19:59:52,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3721913Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3721925Z 2023-07-07T20:05:31.3722270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3722791Z - self: 2023-07-07T20:05:31.3723168Z - node: fx.Node(unsqueeze_149[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3723379Z - aten_name: 2023-07-07T20:05:31.3723629Z - function_overloads: 2023-07-07T20:05:31.3723842Z - onnx_args: 2023-07-07T20:05:31.3724059Z - onnx_kwargs: 2023-07-07T20:05:31.3724789Z - diagnostic_context: 2023-07-07T20:05:31.3725067Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3725524Z [2023-07-07 19:59:52,791] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_150]. 2023-07-07T20:05:31.3725779Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3725790Z 2023-07-07T20:05:31.3726147Z [2023-07-07 19:59:52,791] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3726649Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3726665Z 2023-07-07T20:05:31.3727017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3727535Z - self: 2023-07-07T20:05:31.3727925Z - node: fx.Node(unsqueeze_150[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3728137Z - aten_name: 2023-07-07T20:05:31.3728391Z - function_overloads: 2023-07-07T20:05:31.3728591Z - onnx_args: 2023-07-07T20:05:31.3728809Z - onnx_kwargs: 2023-07-07T20:05:31.3729497Z - diagnostic_context: 2023-07-07T20:05:31.3729784Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3730256Z [2023-07-07 19:59:52,793] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_151]. 2023-07-07T20:05:31.3730553Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3730616Z 2023-07-07T20:05:31.3730917Z [2023-07-07 19:59:52,793] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3731221Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3731230Z 2023-07-07T20:05:31.3731478Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3731880Z - self: 2023-07-07T20:05:31.3732175Z - node: fx.Node(unsqueeze_151[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3732358Z - aten_name: 2023-07-07T20:05:31.3732552Z - function_overloads: 2023-07-07T20:05:31.3732745Z - onnx_args: 2023-07-07T20:05:31.3732926Z - onnx_kwargs: 2023-07-07T20:05:31.3733472Z - diagnostic_context: 2023-07-07T20:05:31.3733749Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3734194Z [2023-07-07 19:59:52,810] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.3734435Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3734446Z 2023-07-07T20:05:31.3734793Z [2023-07-07 19:59:52,810] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3735094Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3735104Z 2023-07-07T20:05:31.3735375Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3735770Z - self: 2023-07-07T20:05:31.3736096Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3736273Z - aten_name: 2023-07-07T20:05:31.3736465Z - function_overloads: 2023-07-07T20:05:31.3736643Z - onnx_args: 2023-07-07T20:05:31.3736824Z - onnx_kwargs: 2023-07-07T20:05:31.3737286Z - diagnostic_context: 2023-07-07T20:05:31.3737620Z - Return value: 2023-07-07T20:05:31.3738040Z [2023-07-07 19:59:52,833] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.3738244Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3738531Z [2023-07-07 19:59:52,833] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3738640Z ### Exception log 2023-07-07T20:05:31.3738738Z ``` 2023-07-07T20:05:31.3738890Z Traceback (most recent call last): 2023-07-07T20:05:31.3738901Z 2023-07-07T20:05:31.3739518Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3739683Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3739690Z 2023-07-07T20:05:31.3739962Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3740058Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3740063Z 2023-07-07T20:05:31.3740386Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3740469Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3740526Z 2023-07-07T20:05:31.3740792Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3740965Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3740973Z 2023-07-07T20:05:31.3741249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3741421Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3741427Z 2023-07-07T20:05:31.3741755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3741833Z result = op.Conv( 2023-07-07T20:05:31.3741839Z 2023-07-07T20:05:31.3742127Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3742198Z return op( 2023-07-07T20:05:31.3742203Z 2023-07-07T20:05:31.3742462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3742578Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3742585Z 2023-07-07T20:05:31.3742847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3742979Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3742985Z 2023-07-07T20:05:31.3743243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3743369Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3743374Z 2023-07-07T20:05:31.3743641Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3743817Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3743826Z 2023-07-07T20:05:31.3744076Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3744171Z node.attribute.extend( 2023-07-07T20:05:31.3744176Z 2023-07-07T20:05:31.3744432Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3744510Z make_attribute(key, value) 2023-07-07T20:05:31.3744515Z 2023-07-07T20:05:31.3744775Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3744854Z raise ValueError( 2023-07-07T20:05:31.3744859Z 2023-07-07T20:05:31.3745034Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3745039Z 2023-07-07T20:05:31.3745100Z ``` 2023-07-07T20:05:31.3745220Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3745531Z - diagnostic_context: 2023-07-07T20:05:31.3745749Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3745948Z - symbolic_fn: 2023-07-07T20:05:31.3746125Z - torch_args: 2023-07-07T20:05:31.3746279Z - torch_kwargs: 2023-07-07T20:05:31.3746472Z - Return value: 2023-07-07T20:05:31.3746847Z [2023-07-07 19:59:52,838] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_38]. 2023-07-07T20:05:31.3747008Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3747015Z 2023-07-07T20:05:31.3747215Z [2023-07-07 19:59:52,838] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3747421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3747427Z 2023-07-07T20:05:31.3747649Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3747907Z - self: 2023-07-07T20:05:31.3748183Z - node: fx.Node(convert_element_type_38[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3748297Z - aten_name: 2023-07-07T20:05:31.3748459Z - function_overloads: 2023-07-07T20:05:31.3748575Z - onnx_args: 2023-07-07T20:05:31.3748691Z - onnx_kwargs: 2023-07-07T20:05:31.3748995Z - diagnostic_context: 2023-07-07T20:05:31.3749167Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3749478Z [2023-07-07 19:59:52,842] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_39]. 2023-07-07T20:05:31.3749639Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3749644Z 2023-07-07T20:05:31.3749843Z [2023-07-07 19:59:52,842] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3750053Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3750059Z 2023-07-07T20:05:31.3750243Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3750515Z - self: 2023-07-07T20:05:31.3750757Z - node: fx.Node(convert_element_type_39[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3750870Z - aten_name: 2023-07-07T20:05:31.3750990Z - function_overloads: 2023-07-07T20:05:31.3751107Z - onnx_args: 2023-07-07T20:05:31.3751224Z - onnx_kwargs: 2023-07-07T20:05:31.3751530Z - diagnostic_context: 2023-07-07T20:05:31.3751713Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3751970Z [2023-07-07 19:59:52,850] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_19]. 2023-07-07T20:05:31.3752105Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3752295Z [2023-07-07 19:59:52,850] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3752357Z ### Exception log 2023-07-07T20:05:31.3752418Z ``` 2023-07-07T20:05:31.3752514Z Traceback (most recent call last): 2023-07-07T20:05:31.3752520Z 2023-07-07T20:05:31.3752854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3752950Z torch.testing.assert_close( 2023-07-07T20:05:31.3752956Z 2023-07-07T20:05:31.3753244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3753337Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3753343Z 2023-07-07T20:05:31.3753503Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3753511Z 2023-07-07T20:05:31.3753619Z Mismatched elements: 249 / 512 (48.6%) 2023-07-07T20:05:31.3753760Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.3753899Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3753904Z 2023-07-07T20:05:31.3753965Z ``` 2023-07-07T20:05:31.3754087Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3754392Z - diagnostic_context: 2023-07-07T20:05:31.3754572Z - node: fx.Node(sqrt_19[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3754801Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3754909Z - torch_args: 2023-07-07T20:05:31.3755029Z - torch_kwargs: 2023-07-07T20:05:31.3755191Z - Return value: 2023-07-07T20:05:31.3755454Z [2023-07-07 19:59:52,854] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_19]. 2023-07-07T20:05:31.3755629Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3755634Z 2023-07-07T20:05:31.3755832Z [2023-07-07 19:59:52,854] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3756069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3756075Z 2023-07-07T20:05:31.3756260Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3756530Z - self: 2023-07-07T20:05:31.3756704Z - node: fx.Node(tensor_int_19[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3756818Z - aten_name: 2023-07-07T20:05:31.3756954Z - function_overloads: 2023-07-07T20:05:31.3757073Z - onnx_args: 2023-07-07T20:05:31.3757189Z - onnx_kwargs: 2023-07-07T20:05:31.3757501Z - diagnostic_context: 2023-07-07T20:05:31.3757660Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3757928Z [2023-07-07 19:59:52,867] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_152]. 2023-07-07T20:05:31.3758070Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3758075Z 2023-07-07T20:05:31.3758273Z [2023-07-07 19:59:52,867] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3758477Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3758483Z 2023-07-07T20:05:31.3758668Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3758935Z - self: 2023-07-07T20:05:31.3759140Z - node: fx.Node(unsqueeze_152[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3759258Z - aten_name: 2023-07-07T20:05:31.3759378Z - function_overloads: 2023-07-07T20:05:31.3759492Z - onnx_args: 2023-07-07T20:05:31.3759611Z - onnx_kwargs: 2023-07-07T20:05:31.3759914Z - diagnostic_context: 2023-07-07T20:05:31.3760072Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3760350Z [2023-07-07 19:59:52,870] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_153]. 2023-07-07T20:05:31.3760493Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3760498Z 2023-07-07T20:05:31.3760697Z [2023-07-07 19:59:52,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3760901Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3760908Z 2023-07-07T20:05:31.3761122Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3761392Z - self: 2023-07-07T20:05:31.3761602Z - node: fx.Node(unsqueeze_153[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3761719Z - aten_name: 2023-07-07T20:05:31.3761851Z - function_overloads: 2023-07-07T20:05:31.3761966Z - onnx_args: 2023-07-07T20:05:31.3762083Z - onnx_kwargs: 2023-07-07T20:05:31.3762374Z - diagnostic_context: 2023-07-07T20:05:31.3762531Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3762842Z [2023-07-07 19:59:52,873] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_154]. 2023-07-07T20:05:31.3762988Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3763022Z 2023-07-07T20:05:31.3763226Z [2023-07-07 19:59:52,873] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3763428Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3763464Z 2023-07-07T20:05:31.3763650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3763917Z - self: 2023-07-07T20:05:31.3764122Z - node: fx.Node(unsqueeze_154[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3764223Z - aten_name: 2023-07-07T20:05:31.3764357Z - function_overloads: 2023-07-07T20:05:31.3765743Z - onnx_args: 2023-07-07T20:05:31.3765929Z - onnx_kwargs: 2023-07-07T20:05:31.3766422Z - diagnostic_context: 2023-07-07T20:05:31.3766649Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3767059Z [2023-07-07 19:59:52,876] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_155]. 2023-07-07T20:05:31.3767271Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3767281Z 2023-07-07T20:05:31.3767551Z [2023-07-07 19:59:52,876] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3767836Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3767844Z 2023-07-07T20:05:31.3768104Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3768506Z - self: 2023-07-07T20:05:31.3768813Z - node: fx.Node(unsqueeze_155[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3768978Z - aten_name: 2023-07-07T20:05:31.3769170Z - function_overloads: 2023-07-07T20:05:31.3769332Z - onnx_args: 2023-07-07T20:05:31.3769484Z - onnx_kwargs: 2023-07-07T20:05:31.3769946Z - diagnostic_context: 2023-07-07T20:05:31.3770200Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3770654Z [2023-07-07 19:59:52,888] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_156]. 2023-07-07T20:05:31.3770879Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3770888Z 2023-07-07T20:05:31.3771203Z [2023-07-07 19:59:52,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3771522Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3771530Z 2023-07-07T20:05:31.3771809Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3772419Z - self: 2023-07-07T20:05:31.3772779Z - node: fx.Node(unsqueeze_156[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3772981Z - aten_name: 2023-07-07T20:05:31.3773204Z - function_overloads: 2023-07-07T20:05:31.3773393Z - onnx_args: 2023-07-07T20:05:31.3773578Z - onnx_kwargs: 2023-07-07T20:05:31.3774063Z - diagnostic_context: 2023-07-07T20:05:31.3774341Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3774745Z [2023-07-07 19:59:52,891] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_157]. 2023-07-07T20:05:31.3775058Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3775069Z 2023-07-07T20:05:31.3775403Z [2023-07-07 19:59:52,891] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3775800Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3775809Z 2023-07-07T20:05:31.3776132Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3776585Z - self: 2023-07-07T20:05:31.3776897Z - node: fx.Node(unsqueeze_157[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3777069Z - aten_name: 2023-07-07T20:05:31.3777273Z - function_overloads: 2023-07-07T20:05:31.3777431Z - onnx_args: 2023-07-07T20:05:31.3777627Z - onnx_kwargs: 2023-07-07T20:05:31.3778111Z - diagnostic_context: 2023-07-07T20:05:31.3778368Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3778862Z [2023-07-07 19:59:52,899] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_158]. 2023-07-07T20:05:31.3779090Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3779106Z 2023-07-07T20:05:31.3779417Z [2023-07-07 19:59:52,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3779742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3779753Z 2023-07-07T20:05:31.3780031Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3780474Z - self: 2023-07-07T20:05:31.3780783Z - node: fx.Node(unsqueeze_158[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3780959Z - aten_name: 2023-07-07T20:05:31.3781165Z - function_overloads: 2023-07-07T20:05:31.3781332Z - onnx_args: 2023-07-07T20:05:31.3781500Z - onnx_kwargs: 2023-07-07T20:05:31.3781957Z - diagnostic_context: 2023-07-07T20:05:31.3782182Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3782606Z [2023-07-07 19:59:52,902] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_159]. 2023-07-07T20:05:31.3782821Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3782831Z 2023-07-07T20:05:31.3783138Z [2023-07-07 19:59:52,902] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3783436Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3783445Z 2023-07-07T20:05:31.3783749Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3784192Z - self: 2023-07-07T20:05:31.3784594Z - node: fx.Node(unsqueeze_159[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3784777Z - aten_name: 2023-07-07T20:05:31.3784967Z - function_overloads: 2023-07-07T20:05:31.3785160Z - onnx_args: 2023-07-07T20:05:31.3785355Z - onnx_kwargs: 2023-07-07T20:05:31.3785901Z - diagnostic_context: 2023-07-07T20:05:31.3786161Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3786535Z [2023-07-07 19:59:52,925] torch.onnx: [WARNING] FX Node: call_function:aten.mean.dim[name=mean]. 2023-07-07T20:05:31.3786761Z ONNX Node: aten_mean_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3786772Z 2023-07-07T20:05:31.3787148Z [2023-07-07 19:59:52,926] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3787459Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3787510Z 2023-07-07T20:05:31.3787786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3788242Z - self: 2023-07-07T20:05:31.3788521Z - node: fx.Node(mean[call_function]'aten.mean.dim') 2023-07-07T20:05:31.3789013Z - aten_name: 2023-07-07T20:05:31.3789241Z - function_overloads: 2023-07-07T20:05:31.3789437Z - onnx_args: 2023-07-07T20:05:31.3789621Z - onnx_kwargs: 2023-07-07T20:05:31.3790138Z - diagnostic_context: 2023-07-07T20:05:31.3790396Z - Return value: `OnnxFunction(aten_mean_dim)` 2023-07-07T20:05:31.3790533Z PASSED [21.2356s] [ 16%] 2023-07-07T20:05:31.3791176Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_scalar_tensor SKIPPED [0.0013s] (Skip verify dynamic shapes test for FX. fx graph does not capture symbolic value for aten::scalar_tensor.) [ 17%] 2023-07-07T20:05:31.3791989Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_shufflenet_v2 [2023-07-07 20:00:24,714] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.3792202Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3792216Z 2023-07-07T20:05:31.3792550Z [2023-07-07 20:00:24,714] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3792893Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3792904Z 2023-07-07T20:05:31.3793247Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3793740Z - self: 2023-07-07T20:05:31.3794145Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3794355Z - aten_name: 2023-07-07T20:05:31.3794685Z - function_overloads: 2023-07-07T20:05:31.3794854Z - onnx_args: 2023-07-07T20:05:31.3795026Z - onnx_kwargs: 2023-07-07T20:05:31.3795552Z - diagnostic_context: 2023-07-07T20:05:31.3795904Z - Return value: 2023-07-07T20:05:31.3796337Z [2023-07-07 20:00:24,723] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.3796581Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3796940Z [2023-07-07 20:00:24,724] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3797068Z ### Exception log 2023-07-07T20:05:31.3797168Z ``` 2023-07-07T20:05:31.3797323Z Traceback (most recent call last): 2023-07-07T20:05:31.3797333Z 2023-07-07T20:05:31.3798020Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3798233Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3798259Z 2023-07-07T20:05:31.3798731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3798899Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3798908Z 2023-07-07T20:05:31.3799395Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3799528Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3799604Z 2023-07-07T20:05:31.3800086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3800383Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3800397Z 2023-07-07T20:05:31.3800918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3801231Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3801241Z 2023-07-07T20:05:31.3801856Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3801981Z result = op.Conv( 2023-07-07T20:05:31.3802006Z 2023-07-07T20:05:31.3802522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3802651Z return op( 2023-07-07T20:05:31.3802661Z 2023-07-07T20:05:31.3803101Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3803290Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3803301Z 2023-07-07T20:05:31.3803707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3803905Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3803912Z 2023-07-07T20:05:31.3804269Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3804609Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3804618Z 2023-07-07T20:05:31.3805056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3805301Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3805331Z 2023-07-07T20:05:31.3805701Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3805833Z node.attribute.extend( 2023-07-07T20:05:31.3805840Z 2023-07-07T20:05:31.3806221Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3806344Z make_attribute(key, value) 2023-07-07T20:05:31.3806352Z 2023-07-07T20:05:31.3806760Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3806890Z raise ValueError( 2023-07-07T20:05:31.3806900Z 2023-07-07T20:05:31.3807178Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3807187Z 2023-07-07T20:05:31.3807294Z ``` 2023-07-07T20:05:31.3807497Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3808042Z - diagnostic_context: 2023-07-07T20:05:31.3808367Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3808706Z - symbolic_fn: 2023-07-07T20:05:31.3809073Z - torch_args: 2023-07-07T20:05:31.3809261Z - torch_kwargs: 2023-07-07T20:05:31.3809451Z - Return value: 2023-07-07T20:05:31.3809928Z [2023-07-07 20:00:24,730] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:31.3810157Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3810183Z 2023-07-07T20:05:31.3810486Z [2023-07-07 20:00:24,730] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3810810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3810821Z 2023-07-07T20:05:31.3811229Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3811613Z - self: 2023-07-07T20:05:31.3812043Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3812213Z - aten_name: 2023-07-07T20:05:31.3812504Z - function_overloads: 2023-07-07T20:05:31.3812697Z - onnx_args: 2023-07-07T20:05:31.3812885Z - onnx_kwargs: 2023-07-07T20:05:31.3813384Z - diagnostic_context: 2023-07-07T20:05:31.3813700Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3814208Z [2023-07-07 20:00:24,734] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:31.3814509Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3814521Z 2023-07-07T20:05:31.3814889Z [2023-07-07 20:00:24,734] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3815245Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3815256Z 2023-07-07T20:05:31.3815569Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3815968Z - self: 2023-07-07T20:05:31.3816301Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3816469Z - aten_name: 2023-07-07T20:05:31.3816678Z - function_overloads: 2023-07-07T20:05:31.3816848Z - onnx_args: 2023-07-07T20:05:31.3817030Z - onnx_kwargs: 2023-07-07T20:05:31.3817494Z - diagnostic_context: 2023-07-07T20:05:31.3817806Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3818213Z [2023-07-07 20:00:24,744] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt]. 2023-07-07T20:05:31.3818425Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3818776Z [2023-07-07 20:00:24,744] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3818916Z ### Exception log 2023-07-07T20:05:31.3819012Z ``` 2023-07-07T20:05:31.3819160Z Traceback (most recent call last): 2023-07-07T20:05:31.3819170Z 2023-07-07T20:05:31.3819711Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3819889Z torch.testing.assert_close( 2023-07-07T20:05:31.3819899Z 2023-07-07T20:05:31.3820336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3820486Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3820497Z 2023-07-07T20:05:31.3820795Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3820808Z 2023-07-07T20:05:31.3820979Z Mismatched elements: 14 / 24 (58.3%) 2023-07-07T20:05:31.3821325Z Greatest absolute difference: nan at index (4,) (up to 0.001 allowed) 2023-07-07T20:05:31.3821574Z Greatest relative difference: nan at index (4,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3821583Z 2023-07-07T20:05:31.3821680Z ``` 2023-07-07T20:05:31.3821863Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3822335Z - diagnostic_context: 2023-07-07T20:05:31.3822643Z - node: fx.Node(sqrt[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3822891Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3823081Z - torch_args: 2023-07-07T20:05:31.3823261Z - torch_kwargs: 2023-07-07T20:05:31.3823520Z - Return value: 2023-07-07T20:05:31.3823930Z [2023-07-07 20:00:24,749] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:05:31.3824228Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3824240Z 2023-07-07T20:05:31.3824588Z [2023-07-07 20:00:24,749] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3825009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3825020Z 2023-07-07T20:05:31.3825352Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3825852Z - self: 2023-07-07T20:05:31.3826180Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3826350Z - aten_name: 2023-07-07T20:05:31.3826550Z - function_overloads: 2023-07-07T20:05:31.3826757Z - onnx_args: 2023-07-07T20:05:31.3826954Z - onnx_kwargs: 2023-07-07T20:05:31.3827442Z - diagnostic_context: 2023-07-07T20:05:31.3827683Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3828097Z [2023-07-07 20:00:24,781] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:31.3828305Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3828315Z 2023-07-07T20:05:31.3828620Z [2023-07-07 20:00:24,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3828928Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3828939Z 2023-07-07T20:05:31.3829267Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3829707Z - self: 2023-07-07T20:05:31.3829998Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3830163Z - aten_name: 2023-07-07T20:05:31.3830348Z - function_overloads: 2023-07-07T20:05:31.3830510Z - onnx_args: 2023-07-07T20:05:31.3830687Z - onnx_kwargs: 2023-07-07T20:05:31.3831129Z - diagnostic_context: 2023-07-07T20:05:31.3831387Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3831811Z [2023-07-07 20:00:24,784] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:31.3832024Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3832034Z 2023-07-07T20:05:31.3832358Z [2023-07-07 20:00:24,784] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3832674Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3832683Z 2023-07-07T20:05:31.3833046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3833456Z - self: 2023-07-07T20:05:31.3833782Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3833943Z - aten_name: 2023-07-07T20:05:31.3834153Z - function_overloads: 2023-07-07T20:05:31.3834326Z - onnx_args: 2023-07-07T20:05:31.3834535Z - onnx_kwargs: 2023-07-07T20:05:31.3835155Z - diagnostic_context: 2023-07-07T20:05:31.3835402Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3835930Z [2023-07-07 20:00:24,788] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:31.3836164Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3836175Z 2023-07-07T20:05:31.3836559Z [2023-07-07 20:00:24,788] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3836880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3836939Z 2023-07-07T20:05:31.3837234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3837714Z - self: 2023-07-07T20:05:31.3838074Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3838255Z - aten_name: 2023-07-07T20:05:31.3838465Z - function_overloads: 2023-07-07T20:05:31.3838650Z - onnx_args: 2023-07-07T20:05:31.3838839Z - onnx_kwargs: 2023-07-07T20:05:31.3839346Z - diagnostic_context: 2023-07-07T20:05:31.3839615Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3840133Z [2023-07-07 20:00:24,791] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_3]. 2023-07-07T20:05:31.3840369Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3840385Z 2023-07-07T20:05:31.3840726Z [2023-07-07 20:00:24,791] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3841061Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3841072Z 2023-07-07T20:05:31.3841357Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3841868Z - self: 2023-07-07T20:05:31.3842214Z - node: fx.Node(unsqueeze_3[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3842402Z - aten_name: 2023-07-07T20:05:31.3842605Z - function_overloads: 2023-07-07T20:05:31.3842787Z - onnx_args: 2023-07-07T20:05:31.3842985Z - onnx_kwargs: 2023-07-07T20:05:31.3843556Z - diagnostic_context: 2023-07-07T20:05:31.3843835Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3844295Z [2023-07-07 20:00:24,910] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_4]. 2023-07-07T20:05:31.3844717Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3844729Z 2023-07-07T20:05:31.3845052Z [2023-07-07 20:00:24,910] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3845433Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3845450Z 2023-07-07T20:05:31.3845768Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3846213Z - self: 2023-07-07T20:05:31.3846672Z - node: fx.Node(unsqueeze_4[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3846871Z - aten_name: 2023-07-07T20:05:31.3847081Z - function_overloads: 2023-07-07T20:05:31.3847265Z - onnx_args: 2023-07-07T20:05:31.3847457Z - onnx_kwargs: 2023-07-07T20:05:31.3847994Z - diagnostic_context: 2023-07-07T20:05:31.3848290Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3848730Z [2023-07-07 20:00:24,914] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_5]. 2023-07-07T20:05:31.3849068Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3849081Z 2023-07-07T20:05:31.3849427Z [2023-07-07 20:00:24,914] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3849770Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3849858Z 2023-07-07T20:05:31.3850211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3850743Z - self: 2023-07-07T20:05:31.3851082Z - node: fx.Node(unsqueeze_5[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3851272Z - aten_name: 2023-07-07T20:05:31.3851465Z - function_overloads: 2023-07-07T20:05:31.3851657Z - onnx_args: 2023-07-07T20:05:31.3851867Z - onnx_kwargs: 2023-07-07T20:05:31.3852422Z - diagnostic_context: 2023-07-07T20:05:31.3852687Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3853138Z [2023-07-07 20:00:24,958] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_6]. 2023-07-07T20:05:31.3853375Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3853387Z 2023-07-07T20:05:31.3853763Z [2023-07-07 20:00:24,958] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3854122Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3854132Z 2023-07-07T20:05:31.3854435Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3854911Z - self: 2023-07-07T20:05:31.3855257Z - node: fx.Node(unsqueeze_6[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3855470Z - aten_name: 2023-07-07T20:05:31.3855724Z - function_overloads: 2023-07-07T20:05:31.3855901Z - onnx_args: 2023-07-07T20:05:31.3856097Z - onnx_kwargs: 2023-07-07T20:05:31.3856629Z - diagnostic_context: 2023-07-07T20:05:31.3856915Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3857327Z [2023-07-07 20:00:24,961] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_7]. 2023-07-07T20:05:31.3857572Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3857582Z 2023-07-07T20:05:31.3857933Z [2023-07-07 20:00:24,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3858277Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3858288Z 2023-07-07T20:05:31.3858633Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3859065Z - self: 2023-07-07T20:05:31.3859407Z - node: fx.Node(unsqueeze_7[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3859710Z - aten_name: 2023-07-07T20:05:31.3859924Z - function_overloads: 2023-07-07T20:05:31.3860129Z - onnx_args: 2023-07-07T20:05:31.3860335Z - onnx_kwargs: 2023-07-07T20:05:31.3860867Z - diagnostic_context: 2023-07-07T20:05:31.3861134Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3861696Z [2023-07-07 20:00:25,075] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.3861980Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3861992Z 2023-07-07T20:05:31.3862432Z [2023-07-07 20:00:25,075] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3862804Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3862867Z 2023-07-07T20:05:31.3863208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3863720Z - self: 2023-07-07T20:05:31.3864170Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.3864378Z - aten_name: 2023-07-07T20:05:31.3864601Z - function_overloads: 2023-07-07T20:05:31.3864805Z - onnx_args: 2023-07-07T20:05:31.3865007Z - onnx_kwargs: 2023-07-07T20:05:31.3865562Z - diagnostic_context: 2023-07-07T20:05:31.3865953Z - Return value: 2023-07-07T20:05:31.3866521Z [2023-07-07 20:00:25,081] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.3866821Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3867127Z [2023-07-07 20:00:25,081] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3867224Z ### Exception log 2023-07-07T20:05:31.3867317Z ``` 2023-07-07T20:05:31.3867456Z Traceback (most recent call last): 2023-07-07T20:05:31.3867466Z 2023-07-07T20:05:31.3868066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3868278Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3868288Z 2023-07-07T20:05:31.3868787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3868945Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3868955Z 2023-07-07T20:05:31.3869565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 834, in aten_max_pool2d_with_indices 2023-07-07T20:05:31.3869790Z kernel_shape, strides, pads, dilations = _adjust_attributes_of_max_pool( 2023-07-07T20:05:31.3869801Z 2023-07-07T20:05:31.3870338Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 738, in _adjust_attributes_of_max_pool 2023-07-07T20:05:31.3870465Z elif not stride: 2023-07-07T20:05:31.3870474Z 2023-07-07T20:05:31.3870759Z ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() 2023-07-07T20:05:31.3870770Z 2023-07-07T20:05:31.3870870Z ``` 2023-07-07T20:05:31.3871069Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3871633Z - diagnostic_context: 2023-07-07T20:05:31.3872080Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.3872475Z - symbolic_fn: 2023-07-07T20:05:31.3872769Z - torch_args: 2023-07-07T20:05:31.3872993Z - torch_kwargs: 2023-07-07T20:05:31.3873227Z - Return value: 2023-07-07T20:05:31.3873745Z [2023-07-07 20:00:25,083] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.3874003Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3874014Z 2023-07-07T20:05:31.3874380Z [2023-07-07 20:00:25,083] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3874829Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3874842Z 2023-07-07T20:05:31.3875242Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3875738Z - self: 2023-07-07T20:05:31.3876180Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3876392Z - aten_name: 2023-07-07T20:05:31.3876679Z - function_overloads: 2023-07-07T20:05:31.3876893Z - onnx_args: 2023-07-07T20:05:31.3877080Z - onnx_kwargs: 2023-07-07T20:05:31.3877550Z - diagnostic_context: 2023-07-07T20:05:31.3877944Z - Return value: 2023-07-07T20:05:31.3878404Z [2023-07-07 20:00:25,092] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.3878677Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3879046Z [2023-07-07 20:00:25,092] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3879183Z ### Exception log 2023-07-07T20:05:31.3879293Z ``` 2023-07-07T20:05:31.3879473Z Traceback (most recent call last): 2023-07-07T20:05:31.3879484Z 2023-07-07T20:05:31.3880120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3880342Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3880353Z 2023-07-07T20:05:31.3880837Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3880986Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3880996Z 2023-07-07T20:05:31.3881599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3881774Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3881788Z 2023-07-07T20:05:31.3882261Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3882517Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3882531Z 2023-07-07T20:05:31.3883051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3883304Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3883314Z 2023-07-07T20:05:31.3883942Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3884070Z result = op.Conv( 2023-07-07T20:05:31.3884079Z 2023-07-07T20:05:31.3884772Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3884884Z return op( 2023-07-07T20:05:31.3884893Z 2023-07-07T20:05:31.3885393Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3885618Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3885631Z 2023-07-07T20:05:31.3886241Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3886493Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3886503Z 2023-07-07T20:05:31.3886936Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3887133Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3887143Z 2023-07-07T20:05:31.3887582Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3887877Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3887885Z 2023-07-07T20:05:31.3888383Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3888496Z node.attribute.extend( 2023-07-07T20:05:31.3888553Z 2023-07-07T20:05:31.3888907Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3889042Z make_attribute(key, value) 2023-07-07T20:05:31.3889103Z 2023-07-07T20:05:31.3889524Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3889635Z raise ValueError( 2023-07-07T20:05:31.3889645Z 2023-07-07T20:05:31.3889933Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3889942Z 2023-07-07T20:05:31.3890053Z ``` 2023-07-07T20:05:31.3890273Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3890749Z - diagnostic_context: 2023-07-07T20:05:31.3891089Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3891438Z - symbolic_fn: 2023-07-07T20:05:31.3891651Z - torch_args: 2023-07-07T20:05:31.3891865Z - torch_kwargs: 2023-07-07T20:05:31.3892068Z - Return value: 2023-07-07T20:05:31.3892634Z [2023-07-07 20:00:25,096] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:31.3892865Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3892875Z 2023-07-07T20:05:31.3893154Z [2023-07-07 20:00:25,096] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3893479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3893488Z 2023-07-07T20:05:31.3893757Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3894161Z - self: 2023-07-07T20:05:31.3894548Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3894719Z - aten_name: 2023-07-07T20:05:31.3894912Z - function_overloads: 2023-07-07T20:05:31.3895082Z - onnx_args: 2023-07-07T20:05:31.3895236Z - onnx_kwargs: 2023-07-07T20:05:31.3895710Z - diagnostic_context: 2023-07-07T20:05:31.3895997Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3896454Z [2023-07-07 20:00:25,100] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_3]. 2023-07-07T20:05:31.3896704Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3896716Z 2023-07-07T20:05:31.3897024Z [2023-07-07 20:00:25,100] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3897457Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3897473Z 2023-07-07T20:05:31.3897770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3898220Z - self: 2023-07-07T20:05:31.3898595Z - node: fx.Node(convert_element_type_3[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3898765Z - aten_name: 2023-07-07T20:05:31.3898974Z - function_overloads: 2023-07-07T20:05:31.3899182Z - onnx_args: 2023-07-07T20:05:31.3899358Z - onnx_kwargs: 2023-07-07T20:05:31.3899920Z - diagnostic_context: 2023-07-07T20:05:31.3900245Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3900641Z [2023-07-07 20:00:25,112] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_1]. 2023-07-07T20:05:31.3900888Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3901191Z [2023-07-07 20:00:25,128] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3901418Z ### Exception log 2023-07-07T20:05:31.3901522Z ``` 2023-07-07T20:05:31.3901690Z Traceback (most recent call last): 2023-07-07T20:05:31.3901700Z 2023-07-07T20:05:31.3902305Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3902479Z torch.testing.assert_close( 2023-07-07T20:05:31.3902490Z 2023-07-07T20:05:31.3903009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3903169Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3903180Z 2023-07-07T20:05:31.3903474Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3903488Z 2023-07-07T20:05:31.3903661Z Mismatched elements: 9 / 24 (37.5%) 2023-07-07T20:05:31.3903913Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.3904166Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3904176Z 2023-07-07T20:05:31.3904283Z ``` 2023-07-07T20:05:31.3904505Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3905095Z - diagnostic_context: 2023-07-07T20:05:31.3905417Z - node: fx.Node(sqrt_1[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3905682Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3905895Z - torch_args: 2023-07-07T20:05:31.3906118Z - torch_kwargs: 2023-07-07T20:05:31.3906361Z - Return value: 2023-07-07T20:05:31.3906846Z [2023-07-07 20:00:25,131] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_1]. 2023-07-07T20:05:31.3907111Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3907125Z 2023-07-07T20:05:31.3907498Z [2023-07-07 20:00:25,131] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3907869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3907893Z 2023-07-07T20:05:31.3908222Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3908738Z - self: 2023-07-07T20:05:31.3909088Z - node: fx.Node(tensor_int_1[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3909297Z - aten_name: 2023-07-07T20:05:31.3909548Z - function_overloads: 2023-07-07T20:05:31.3909763Z - onnx_args: 2023-07-07T20:05:31.3909983Z - onnx_kwargs: 2023-07-07T20:05:31.3910551Z - diagnostic_context: 2023-07-07T20:05:31.3910910Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3911437Z [2023-07-07 20:00:25,152] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_8]. 2023-07-07T20:05:31.3911707Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3911718Z 2023-07-07T20:05:31.3912088Z [2023-07-07 20:00:25,152] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3912470Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3912481Z 2023-07-07T20:05:31.3912828Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3913385Z - self: 2023-07-07T20:05:31.3913775Z - node: fx.Node(unsqueeze_8[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3914012Z - aten_name: 2023-07-07T20:05:31.3914244Z - function_overloads: 2023-07-07T20:05:31.3914433Z - onnx_args: 2023-07-07T20:05:31.3914759Z - onnx_kwargs: 2023-07-07T20:05:31.3915307Z - diagnostic_context: 2023-07-07T20:05:31.3915588Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3916080Z [2023-07-07 20:00:25,155] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_9]. 2023-07-07T20:05:31.3916326Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3916351Z 2023-07-07T20:05:31.3916706Z [2023-07-07 20:00:25,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3917094Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3917104Z 2023-07-07T20:05:31.3917462Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3917975Z - self: 2023-07-07T20:05:31.3918365Z - node: fx.Node(unsqueeze_9[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3918575Z - aten_name: 2023-07-07T20:05:31.3918826Z - function_overloads: 2023-07-07T20:05:31.3919043Z - onnx_args: 2023-07-07T20:05:31.3919247Z - onnx_kwargs: 2023-07-07T20:05:31.3919836Z - diagnostic_context: 2023-07-07T20:05:31.3920131Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3920657Z [2023-07-07 20:00:25,157] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_10]. 2023-07-07T20:05:31.3920924Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3920934Z 2023-07-07T20:05:31.3921310Z [2023-07-07 20:00:25,158] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3921690Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3921704Z 2023-07-07T20:05:31.3922053Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3922551Z - self: 2023-07-07T20:05:31.3922937Z - node: fx.Node(unsqueeze_10[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3923150Z - aten_name: 2023-07-07T20:05:31.3923404Z - function_overloads: 2023-07-07T20:05:31.3923623Z - onnx_args: 2023-07-07T20:05:31.3923830Z - onnx_kwargs: 2023-07-07T20:05:31.3924337Z - diagnostic_context: 2023-07-07T20:05:31.3935009Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3935587Z [2023-07-07 20:00:25,160] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_11]. 2023-07-07T20:05:31.3935810Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3935827Z 2023-07-07T20:05:31.3936137Z [2023-07-07 20:00:25,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3936436Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3936446Z 2023-07-07T20:05:31.3936745Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3937179Z - self: 2023-07-07T20:05:31.3937568Z - node: fx.Node(unsqueeze_11[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3937740Z - aten_name: 2023-07-07T20:05:31.3937926Z - function_overloads: 2023-07-07T20:05:31.3938182Z - onnx_args: 2023-07-07T20:05:31.3938375Z - onnx_kwargs: 2023-07-07T20:05:31.3938830Z - diagnostic_context: 2023-07-07T20:05:31.3939137Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3939552Z [2023-07-07 20:00:25,193] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_12]. 2023-07-07T20:05:31.3939770Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3939781Z 2023-07-07T20:05:31.3940107Z [2023-07-07 20:00:25,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3940442Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3940474Z 2023-07-07T20:05:31.3940798Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3941231Z - self: 2023-07-07T20:05:31.3941541Z - node: fx.Node(unsqueeze_12[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3941716Z - aten_name: 2023-07-07T20:05:31.3941940Z - function_overloads: 2023-07-07T20:05:31.3942123Z - onnx_args: 2023-07-07T20:05:31.3942293Z - onnx_kwargs: 2023-07-07T20:05:31.3942708Z - diagnostic_context: 2023-07-07T20:05:31.3942942Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3943373Z [2023-07-07 20:00:25,196] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_13]. 2023-07-07T20:05:31.3943599Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3943611Z 2023-07-07T20:05:31.3943918Z [2023-07-07 20:00:25,196] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3944269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3944279Z 2023-07-07T20:05:31.3944563Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3944969Z - self: 2023-07-07T20:05:31.3945278Z - node: fx.Node(unsqueeze_13[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3945453Z - aten_name: 2023-07-07T20:05:31.3945679Z - function_overloads: 2023-07-07T20:05:31.3945878Z - onnx_args: 2023-07-07T20:05:31.3946073Z - onnx_kwargs: 2023-07-07T20:05:31.3946607Z - diagnostic_context: 2023-07-07T20:05:31.3946886Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3947351Z [2023-07-07 20:00:25,212] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_14]. 2023-07-07T20:05:31.3947709Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3947722Z 2023-07-07T20:05:31.3948081Z [2023-07-07 20:00:25,212] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3948443Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3948453Z 2023-07-07T20:05:31.3948773Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3949159Z - self: 2023-07-07T20:05:31.3949458Z - node: fx.Node(unsqueeze_14[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3949620Z - aten_name: 2023-07-07T20:05:31.3949915Z - function_overloads: 2023-07-07T20:05:31.3950096Z - onnx_args: 2023-07-07T20:05:31.3950260Z - onnx_kwargs: 2023-07-07T20:05:31.3950837Z - diagnostic_context: 2023-07-07T20:05:31.3951122Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3951682Z [2023-07-07 20:00:25,214] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_15]. 2023-07-07T20:05:31.3951948Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3951959Z 2023-07-07T20:05:31.3952269Z [2023-07-07 20:00:25,214] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3952572Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3952583Z 2023-07-07T20:05:31.3952936Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3953373Z - self: 2023-07-07T20:05:31.3953718Z - node: fx.Node(unsqueeze_15[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3953936Z - aten_name: 2023-07-07T20:05:31.3954179Z - function_overloads: 2023-07-07T20:05:31.3954404Z - onnx_args: 2023-07-07T20:05:31.3954714Z - onnx_kwargs: 2023-07-07T20:05:31.3955194Z - diagnostic_context: 2023-07-07T20:05:31.3955435Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3955934Z [2023-07-07 20:00:25,248] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.3956160Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3956170Z 2023-07-07T20:05:31.3956476Z [2023-07-07 20:00:25,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3956778Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3956790Z 2023-07-07T20:05:31.3957083Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3957571Z - self: 2023-07-07T20:05:31.3957973Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3958177Z - aten_name: 2023-07-07T20:05:31.3958417Z - function_overloads: 2023-07-07T20:05:31.3958611Z - onnx_args: 2023-07-07T20:05:31.3958816Z - onnx_kwargs: 2023-07-07T20:05:31.3959369Z - diagnostic_context: 2023-07-07T20:05:31.3959691Z - Return value: 2023-07-07T20:05:31.3960149Z [2023-07-07 20:00:25,261] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.3960392Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3960793Z [2023-07-07 20:00:25,261] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.3960890Z ### Exception log 2023-07-07T20:05:31.3960978Z ``` 2023-07-07T20:05:31.3961119Z Traceback (most recent call last): 2023-07-07T20:05:31.3961130Z 2023-07-07T20:05:31.3961644Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.3961831Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.3961840Z 2023-07-07T20:05:31.3962303Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.3962475Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.3962485Z 2023-07-07T20:05:31.3963057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.3963232Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.3963241Z 2023-07-07T20:05:31.3963623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.3963883Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.3963892Z 2023-07-07T20:05:31.3964345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.3964716Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.3964726Z 2023-07-07T20:05:31.3965245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.3965359Z result = op.Conv( 2023-07-07T20:05:31.3965374Z 2023-07-07T20:05:31.3965824Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.3965926Z return op( 2023-07-07T20:05:31.3965934Z 2023-07-07T20:05:31.3966328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.3966520Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.3966529Z 2023-07-07T20:05:31.3966921Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.3967123Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3967130Z 2023-07-07T20:05:31.3967587Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.3967817Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.3967826Z 2023-07-07T20:05:31.3968258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.3968522Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.3968536Z 2023-07-07T20:05:31.3968940Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.3969077Z node.attribute.extend( 2023-07-07T20:05:31.3969086Z 2023-07-07T20:05:31.3969483Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.3969620Z make_attribute(key, value) 2023-07-07T20:05:31.3969629Z 2023-07-07T20:05:31.3970059Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.3970187Z raise ValueError( 2023-07-07T20:05:31.3970196Z 2023-07-07T20:05:31.3970522Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.3970532Z 2023-07-07T20:05:31.3970650Z ``` 2023-07-07T20:05:31.3970851Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3971485Z - diagnostic_context: 2023-07-07T20:05:31.3971851Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.3972218Z - symbolic_fn: 2023-07-07T20:05:31.3972421Z - torch_args: 2023-07-07T20:05:31.3972642Z - torch_kwargs: 2023-07-07T20:05:31.3972847Z - Return value: 2023-07-07T20:05:31.3973384Z [2023-07-07 20:00:25,267] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_4]. 2023-07-07T20:05:31.3973629Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3973639Z 2023-07-07T20:05:31.3974095Z [2023-07-07 20:00:25,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3974477Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3974552Z 2023-07-07T20:05:31.3974846Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3975287Z - self: 2023-07-07T20:05:31.3975783Z - node: fx.Node(convert_element_type_4[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3975999Z - aten_name: 2023-07-07T20:05:31.3976236Z - function_overloads: 2023-07-07T20:05:31.3976429Z - onnx_args: 2023-07-07T20:05:31.3976622Z - onnx_kwargs: 2023-07-07T20:05:31.3977135Z - diagnostic_context: 2023-07-07T20:05:31.3977472Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3978028Z [2023-07-07 20:00:25,281] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_5]. 2023-07-07T20:05:31.3978297Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3978312Z 2023-07-07T20:05:31.3978625Z [2023-07-07 20:00:25,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3978961Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3978969Z 2023-07-07T20:05:31.3979251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3979710Z - self: 2023-07-07T20:05:31.3980146Z - node: fx.Node(convert_element_type_5[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.3980360Z - aten_name: 2023-07-07T20:05:31.3980579Z - function_overloads: 2023-07-07T20:05:31.3980752Z - onnx_args: 2023-07-07T20:05:31.3980936Z - onnx_kwargs: 2023-07-07T20:05:31.3981456Z - diagnostic_context: 2023-07-07T20:05:31.3981786Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.3982264Z [2023-07-07 20:00:25,298] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_2]. 2023-07-07T20:05:31.3982483Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3982800Z [2023-07-07 20:00:25,298] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.3982929Z ### Exception log 2023-07-07T20:05:31.3983016Z ``` 2023-07-07T20:05:31.3983155Z Traceback (most recent call last): 2023-07-07T20:05:31.3983165Z 2023-07-07T20:05:31.3983776Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.3983954Z torch.testing.assert_close( 2023-07-07T20:05:31.3983965Z 2023-07-07T20:05:31.3984436Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.3984700Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.3984711Z 2023-07-07T20:05:31.3984989Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.3985004Z 2023-07-07T20:05:31.3985155Z Mismatched elements: 12 / 24 (50.0%) 2023-07-07T20:05:31.3985392Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.3985644Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.3985654Z 2023-07-07T20:05:31.3985751Z ``` 2023-07-07T20:05:31.3985952Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.3986480Z - diagnostic_context: 2023-07-07T20:05:31.3986871Z - node: fx.Node(sqrt_2[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.3987147Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.3987368Z - torch_args: 2023-07-07T20:05:31.3987598Z - torch_kwargs: 2023-07-07T20:05:31.3987816Z - Return value: 2023-07-07T20:05:31.3988250Z [2023-07-07 20:00:25,301] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_2]. 2023-07-07T20:05:31.3988784Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3988795Z 2023-07-07T20:05:31.3989138Z [2023-07-07 20:00:25,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3989501Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3989511Z 2023-07-07T20:05:31.3989815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3990325Z - self: 2023-07-07T20:05:31.3990643Z - node: fx.Node(tensor_int_2[call_function]'aten.tensor.int') 2023-07-07T20:05:31.3990827Z - aten_name: 2023-07-07T20:05:31.3991049Z - function_overloads: 2023-07-07T20:05:31.3991246Z - onnx_args: 2023-07-07T20:05:31.3991428Z - onnx_kwargs: 2023-07-07T20:05:31.3991968Z - diagnostic_context: 2023-07-07T20:05:31.3992249Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.3992749Z [2023-07-07 20:00:25,341] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_16]. 2023-07-07T20:05:31.3992986Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3992998Z 2023-07-07T20:05:31.3993360Z [2023-07-07 20:00:25,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3993728Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3993741Z 2023-07-07T20:05:31.3994067Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3994572Z - self: 2023-07-07T20:05:31.3995009Z - node: fx.Node(unsqueeze_16[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3995216Z - aten_name: 2023-07-07T20:05:31.3995434Z - function_overloads: 2023-07-07T20:05:31.3995625Z - onnx_args: 2023-07-07T20:05:31.3995831Z - onnx_kwargs: 2023-07-07T20:05:31.3996371Z - diagnostic_context: 2023-07-07T20:05:31.3996661Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.3997171Z [2023-07-07 20:00:25,344] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_17]. 2023-07-07T20:05:31.3997432Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.3997443Z 2023-07-07T20:05:31.3997808Z [2023-07-07 20:00:25,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.3998227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.3998242Z 2023-07-07T20:05:31.3998513Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.3999004Z - self: 2023-07-07T20:05:31.3999382Z - node: fx.Node(unsqueeze_17[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.3999597Z - aten_name: 2023-07-07T20:05:31.3999834Z - function_overloads: 2023-07-07T20:05:31.4000045Z - onnx_args: 2023-07-07T20:05:31.4000264Z - onnx_kwargs: 2023-07-07T20:05:31.4000844Z - diagnostic_context: 2023-07-07T20:05:31.4001092Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4001612Z [2023-07-07 20:00:25,359] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_18]. 2023-07-07T20:05:31.4001857Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4001922Z 2023-07-07T20:05:31.4002282Z [2023-07-07 20:00:25,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4002638Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4002649Z 2023-07-07T20:05:31.4002970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4003458Z - self: 2023-07-07T20:05:31.4003836Z - node: fx.Node(unsqueeze_18[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4004045Z - aten_name: 2023-07-07T20:05:31.4004264Z - function_overloads: 2023-07-07T20:05:31.4004783Z - onnx_args: 2023-07-07T20:05:31.4005012Z - onnx_kwargs: 2023-07-07T20:05:31.4005560Z - diagnostic_context: 2023-07-07T20:05:31.4005855Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4006360Z [2023-07-07 20:00:25,362] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_19]. 2023-07-07T20:05:31.4006612Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4006624Z 2023-07-07T20:05:31.4006993Z [2023-07-07 20:00:25,362] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4007319Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4007344Z 2023-07-07T20:05:31.4007597Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4008094Z - self: 2023-07-07T20:05:31.4008445Z - node: fx.Node(unsqueeze_19[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4008646Z - aten_name: 2023-07-07T20:05:31.4008900Z - function_overloads: 2023-07-07T20:05:31.4009111Z - onnx_args: 2023-07-07T20:05:31.4009324Z - onnx_kwargs: 2023-07-07T20:05:31.4009875Z - diagnostic_context: 2023-07-07T20:05:31.4010176Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4010687Z [2023-07-07 20:00:25,392] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_20]. 2023-07-07T20:05:31.4010944Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4010958Z 2023-07-07T20:05:31.4011314Z [2023-07-07 20:00:25,392] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4011691Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4011826Z 2023-07-07T20:05:31.4012178Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4012691Z - self: 2023-07-07T20:05:31.4013079Z - node: fx.Node(unsqueeze_20[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4013275Z - aten_name: 2023-07-07T20:05:31.4013515Z - function_overloads: 2023-07-07T20:05:31.4013722Z - onnx_args: 2023-07-07T20:05:31.4013938Z - onnx_kwargs: 2023-07-07T20:05:31.4014510Z - diagnostic_context: 2023-07-07T20:05:31.4014862Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4015392Z [2023-07-07 20:00:25,399] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_21]. 2023-07-07T20:05:31.4015746Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4015772Z 2023-07-07T20:05:31.4016133Z [2023-07-07 20:00:25,399] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4016566Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4016577Z 2023-07-07T20:05:31.4016873Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4017323Z - self: 2023-07-07T20:05:31.4017672Z - node: fx.Node(unsqueeze_21[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4017842Z - aten_name: 2023-07-07T20:05:31.4018065Z - function_overloads: 2023-07-07T20:05:31.4018253Z - onnx_args: 2023-07-07T20:05:31.4018395Z - onnx_kwargs: 2023-07-07T20:05:31.4018801Z - diagnostic_context: 2023-07-07T20:05:31.4019083Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4019491Z [2023-07-07 20:00:25,407] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_22]. 2023-07-07T20:05:31.4019750Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4019762Z 2023-07-07T20:05:31.4020124Z [2023-07-07 20:00:25,407] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4020440Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4020450Z 2023-07-07T20:05:31.4020735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4021166Z - self: 2023-07-07T20:05:31.4021539Z - node: fx.Node(unsqueeze_22[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4021729Z - aten_name: 2023-07-07T20:05:31.4021956Z - function_overloads: 2023-07-07T20:05:31.4022159Z - onnx_args: 2023-07-07T20:05:31.4022345Z - onnx_kwargs: 2023-07-07T20:05:31.4022787Z - diagnostic_context: 2023-07-07T20:05:31.4023050Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4023455Z [2023-07-07 20:00:25,410] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_23]. 2023-07-07T20:05:31.4023667Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4023677Z 2023-07-07T20:05:31.4023998Z [2023-07-07 20:00:25,410] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4024298Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4024308Z 2023-07-07T20:05:31.4024678Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4025121Z - self: 2023-07-07T20:05:31.4025456Z - node: fx.Node(unsqueeze_23[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4025631Z - aten_name: 2023-07-07T20:05:31.4025813Z - function_overloads: 2023-07-07T20:05:31.4025999Z - onnx_args: 2023-07-07T20:05:31.4026191Z - onnx_kwargs: 2023-07-07T20:05:31.4026680Z - diagnostic_context: 2023-07-07T20:05:31.4026928Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4027497Z [2023-07-07 20:00:25,429] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.4027721Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4027778Z 2023-07-07T20:05:31.4028110Z [2023-07-07 20:00:25,429] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4028414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4028485Z 2023-07-07T20:05:31.4028748Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4029219Z - self: 2023-07-07T20:05:31.4029558Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4029733Z - aten_name: 2023-07-07T20:05:31.4029946Z - function_overloads: 2023-07-07T20:05:31.4030130Z - onnx_args: 2023-07-07T20:05:31.4030348Z - onnx_kwargs: 2023-07-07T20:05:31.4030901Z - diagnostic_context: 2023-07-07T20:05:31.4031285Z - Return value: 2023-07-07T20:05:31.4031800Z [2023-07-07 20:00:25,444] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.4032069Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4032445Z [2023-07-07 20:00:25,445] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4032578Z ### Exception log 2023-07-07T20:05:31.4032690Z ``` 2023-07-07T20:05:31.4032865Z Traceback (most recent call last): 2023-07-07T20:05:31.4032876Z 2023-07-07T20:05:31.4033488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4033716Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4033731Z 2023-07-07T20:05:31.4034224Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4034397Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4034408Z 2023-07-07T20:05:31.4035117Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4035297Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4035307Z 2023-07-07T20:05:31.4035794Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4036049Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4036059Z 2023-07-07T20:05:31.4036586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4036832Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4036846Z 2023-07-07T20:05:31.4037459Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4037605Z result = op.Conv( 2023-07-07T20:05:31.4037701Z 2023-07-07T20:05:31.4038239Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4038374Z return op( 2023-07-07T20:05:31.4038384Z 2023-07-07T20:05:31.4038875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4039114Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4039124Z 2023-07-07T20:05:31.4039616Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4039857Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4039868Z 2023-07-07T20:05:31.4040416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4040649Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4040698Z 2023-07-07T20:05:31.4041197Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4041583Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4041592Z 2023-07-07T20:05:31.4042077Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4042241Z node.attribute.extend( 2023-07-07T20:05:31.4042252Z 2023-07-07T20:05:31.4042694Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4042845Z make_attribute(key, value) 2023-07-07T20:05:31.4042854Z 2023-07-07T20:05:31.4043320Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4043460Z raise ValueError( 2023-07-07T20:05:31.4043468Z 2023-07-07T20:05:31.4043770Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4043782Z 2023-07-07T20:05:31.4043876Z ``` 2023-07-07T20:05:31.4044089Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4060616Z - diagnostic_context: 2023-07-07T20:05:31.4061041Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4061368Z - symbolic_fn: 2023-07-07T20:05:31.4061555Z - torch_args: 2023-07-07T20:05:31.4061735Z - torch_kwargs: 2023-07-07T20:05:31.4061941Z - Return value: 2023-07-07T20:05:31.4062457Z [2023-07-07 20:00:25,459] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_6]. 2023-07-07T20:05:31.4062691Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4062707Z 2023-07-07T20:05:31.4063001Z [2023-07-07 20:00:25,459] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4063320Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4063335Z 2023-07-07T20:05:31.4063629Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4064039Z - self: 2023-07-07T20:05:31.4064412Z - node: fx.Node(convert_element_type_6[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4064581Z - aten_name: 2023-07-07T20:05:31.4064789Z - function_overloads: 2023-07-07T20:05:31.4064967Z - onnx_args: 2023-07-07T20:05:31.4065159Z - onnx_kwargs: 2023-07-07T20:05:31.4065703Z - diagnostic_context: 2023-07-07T20:05:31.4066044Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4066666Z [2023-07-07 20:00:25,463] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_7]. 2023-07-07T20:05:31.4066934Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4066945Z 2023-07-07T20:05:31.4067247Z [2023-07-07 20:00:25,463] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4067545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4067554Z 2023-07-07T20:05:31.4067822Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4068341Z - self: 2023-07-07T20:05:31.4068724Z - node: fx.Node(convert_element_type_7[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4068978Z - aten_name: 2023-07-07T20:05:31.4069202Z - function_overloads: 2023-07-07T20:05:31.4069367Z - onnx_args: 2023-07-07T20:05:31.4069598Z - onnx_kwargs: 2023-07-07T20:05:31.4070060Z - diagnostic_context: 2023-07-07T20:05:31.4070367Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4070796Z [2023-07-07 20:00:25,485] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_3]. 2023-07-07T20:05:31.4071024Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4071338Z [2023-07-07 20:00:25,485] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4071467Z ### Exception log 2023-07-07T20:05:31.4071574Z ``` 2023-07-07T20:05:31.4071742Z Traceback (most recent call last): 2023-07-07T20:05:31.4071754Z 2023-07-07T20:05:31.4072327Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4072499Z torch.testing.assert_close( 2023-07-07T20:05:31.4072509Z 2023-07-07T20:05:31.4073041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4073202Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4073211Z 2023-07-07T20:05:31.4073473Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4073481Z 2023-07-07T20:05:31.4073614Z Mismatched elements: 11 / 24 (45.8%) 2023-07-07T20:05:31.4073817Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.4074004Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4074011Z 2023-07-07T20:05:31.4074096Z ``` 2023-07-07T20:05:31.4074280Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4074860Z - diagnostic_context: 2023-07-07T20:05:31.4075179Z - node: fx.Node(sqrt_3[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4075443Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4075659Z - torch_args: 2023-07-07T20:05:31.4075848Z - torch_kwargs: 2023-07-07T20:05:31.4076088Z - Return value: 2023-07-07T20:05:31.4076545Z [2023-07-07 20:00:25,497] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_3]. 2023-07-07T20:05:31.4076750Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4076759Z 2023-07-07T20:05:31.4077081Z [2023-07-07 20:00:25,497] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4077473Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4077485Z 2023-07-07T20:05:31.4077764Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4078367Z - self: 2023-07-07T20:05:31.4078724Z - node: fx.Node(tensor_int_3[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4078942Z - aten_name: 2023-07-07T20:05:31.4079162Z - function_overloads: 2023-07-07T20:05:31.4079318Z - onnx_args: 2023-07-07T20:05:31.4079514Z - onnx_kwargs: 2023-07-07T20:05:31.4080022Z - diagnostic_context: 2023-07-07T20:05:31.4080303Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4080724Z [2023-07-07 20:00:25,523] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_24]. 2023-07-07T20:05:31.4081000Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4081012Z 2023-07-07T20:05:31.4081338Z [2023-07-07 20:00:25,523] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4081746Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4081758Z 2023-07-07T20:05:31.4082139Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4082621Z - self: 2023-07-07T20:05:31.4082997Z - node: fx.Node(unsqueeze_24[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4083205Z - aten_name: 2023-07-07T20:05:31.4083446Z - function_overloads: 2023-07-07T20:05:31.4083629Z - onnx_args: 2023-07-07T20:05:31.4083806Z - onnx_kwargs: 2023-07-07T20:05:31.4084281Z - diagnostic_context: 2023-07-07T20:05:31.4084698Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4085135Z [2023-07-07 20:00:25,526] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_25]. 2023-07-07T20:05:31.4085346Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4085359Z 2023-07-07T20:05:31.4085673Z [2023-07-07 20:00:25,526] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4085978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4085989Z 2023-07-07T20:05:31.4086280Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4086786Z - self: 2023-07-07T20:05:31.4087105Z - node: fx.Node(unsqueeze_25[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4087285Z - aten_name: 2023-07-07T20:05:31.4087465Z - function_overloads: 2023-07-07T20:05:31.4087635Z - onnx_args: 2023-07-07T20:05:31.4087822Z - onnx_kwargs: 2023-07-07T20:05:31.4088302Z - diagnostic_context: 2023-07-07T20:05:31.4088559Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4089004Z [2023-07-07 20:00:25,528] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_26]. 2023-07-07T20:05:31.4089231Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4089241Z 2023-07-07T20:05:31.4089556Z [2023-07-07 20:00:25,528] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4089840Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4089849Z 2023-07-07T20:05:31.4090120Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4090552Z - self: 2023-07-07T20:05:31.4091041Z - node: fx.Node(unsqueeze_26[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4091259Z - aten_name: 2023-07-07T20:05:31.4091490Z - function_overloads: 2023-07-07T20:05:31.4091677Z - onnx_args: 2023-07-07T20:05:31.4091856Z - onnx_kwargs: 2023-07-07T20:05:31.4092312Z - diagnostic_context: 2023-07-07T20:05:31.4092558Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4092996Z [2023-07-07 20:00:25,531] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_27]. 2023-07-07T20:05:31.4093221Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4093231Z 2023-07-07T20:05:31.4093694Z [2023-07-07 20:00:25,531] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4094075Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4094142Z 2023-07-07T20:05:31.4094454Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4094963Z - self: 2023-07-07T20:05:31.4095310Z - node: fx.Node(unsqueeze_27[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4095483Z - aten_name: 2023-07-07T20:05:31.4095711Z - function_overloads: 2023-07-07T20:05:31.4095928Z - onnx_args: 2023-07-07T20:05:31.4096144Z - onnx_kwargs: 2023-07-07T20:05:31.4096646Z - diagnostic_context: 2023-07-07T20:05:31.4096928Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4097379Z [2023-07-07 20:00:25,546] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_28]. 2023-07-07T20:05:31.4097632Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4097647Z 2023-07-07T20:05:31.4098014Z [2023-07-07 20:00:25,546] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4098343Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4098353Z 2023-07-07T20:05:31.4098647Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4099110Z - self: 2023-07-07T20:05:31.4099504Z - node: fx.Node(unsqueeze_28[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4099701Z - aten_name: 2023-07-07T20:05:31.4099929Z - function_overloads: 2023-07-07T20:05:31.4100113Z - onnx_args: 2023-07-07T20:05:31.4100320Z - onnx_kwargs: 2023-07-07T20:05:31.4100852Z - diagnostic_context: 2023-07-07T20:05:31.4101162Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4101636Z [2023-07-07 20:00:25,549] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_29]. 2023-07-07T20:05:31.4101855Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4101865Z 2023-07-07T20:05:31.4102251Z [2023-07-07 20:00:25,549] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4102575Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4102584Z 2023-07-07T20:05:31.4102890Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4103354Z - self: 2023-07-07T20:05:31.4103741Z - node: fx.Node(unsqueeze_29[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4103925Z - aten_name: 2023-07-07T20:05:31.4104240Z - function_overloads: 2023-07-07T20:05:31.4104443Z - onnx_args: 2023-07-07T20:05:31.4104640Z - onnx_kwargs: 2023-07-07T20:05:31.4105145Z - diagnostic_context: 2023-07-07T20:05:31.4105423Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4105902Z [2023-07-07 20:00:25,576] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_30]. 2023-07-07T20:05:31.4106138Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4106150Z 2023-07-07T20:05:31.4106491Z [2023-07-07 20:00:25,576] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4106937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4106951Z 2023-07-07T20:05:31.4107302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4107796Z - self: 2023-07-07T20:05:31.4108194Z - node: fx.Node(unsqueeze_30[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4108393Z - aten_name: 2023-07-07T20:05:31.4108604Z - function_overloads: 2023-07-07T20:05:31.4108821Z - onnx_args: 2023-07-07T20:05:31.4109036Z - onnx_kwargs: 2023-07-07T20:05:31.4109549Z - diagnostic_context: 2023-07-07T20:05:31.4109825Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4110301Z [2023-07-07 20:00:25,579] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_31]. 2023-07-07T20:05:31.4110569Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4110581Z 2023-07-07T20:05:31.4110931Z [2023-07-07 20:00:25,579] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4111272Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4111305Z 2023-07-07T20:05:31.4111586Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4112018Z - self: 2023-07-07T20:05:31.4112368Z - node: fx.Node(unsqueeze_31[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4112568Z - aten_name: 2023-07-07T20:05:31.4112809Z - function_overloads: 2023-07-07T20:05:31.4112993Z - onnx_args: 2023-07-07T20:05:31.4113202Z - onnx_kwargs: 2023-07-07T20:05:31.4113730Z - diagnostic_context: 2023-07-07T20:05:31.4114009Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4114493Z [2023-07-07 20:00:25,647] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.4114804Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4114820Z 2023-07-07T20:05:31.4115174Z [2023-07-07 20:00:25,648] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4115528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4115540Z 2023-07-07T20:05:31.4115869Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4116359Z - self: 2023-07-07T20:05:31.4116760Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4116952Z - aten_name: 2023-07-07T20:05:31.4117191Z - function_overloads: 2023-07-07T20:05:31.4117401Z - onnx_args: 2023-07-07T20:05:31.4117720Z - onnx_kwargs: 2023-07-07T20:05:31.4118248Z - diagnostic_context: 2023-07-07T20:05:31.4118641Z - Return value: 2023-07-07T20:05:31.4119157Z [2023-07-07 20:00:25,669] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.4119398Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4119770Z [2023-07-07 20:00:25,669] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4119899Z ### Exception log 2023-07-07T20:05:31.4120006Z ``` 2023-07-07T20:05:31.4120171Z Traceback (most recent call last): 2023-07-07T20:05:31.4120183Z 2023-07-07T20:05:31.4120887Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4121140Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4121153Z 2023-07-07T20:05:31.4121565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4121792Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4121802Z 2023-07-07T20:05:31.4122374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4122550Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4122561Z 2023-07-07T20:05:31.4123041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4123294Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4123309Z 2023-07-07T20:05:31.4123743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4123959Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4123972Z 2023-07-07T20:05:31.4124659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4124797Z result = op.Conv( 2023-07-07T20:05:31.4124807Z 2023-07-07T20:05:31.4125309Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4125419Z return op( 2023-07-07T20:05:31.4125445Z 2023-07-07T20:05:31.4125894Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4126119Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4126129Z 2023-07-07T20:05:31.4126607Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4126837Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4126851Z 2023-07-07T20:05:31.4127333Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4127558Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4127568Z 2023-07-07T20:05:31.4128058Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4128368Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4128380Z 2023-07-07T20:05:31.4128843Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4128988Z node.attribute.extend( 2023-07-07T20:05:31.4129014Z 2023-07-07T20:05:31.4129471Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4129627Z make_attribute(key, value) 2023-07-07T20:05:31.4129642Z 2023-07-07T20:05:31.4130269Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4130393Z raise ValueError( 2023-07-07T20:05:31.4130404Z 2023-07-07T20:05:31.4130675Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4130685Z 2023-07-07T20:05:31.4130790Z ``` 2023-07-07T20:05:31.4131010Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4131546Z - diagnostic_context: 2023-07-07T20:05:31.4131943Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4132343Z - symbolic_fn: 2023-07-07T20:05:31.4132704Z - torch_args: 2023-07-07T20:05:31.4132935Z - torch_kwargs: 2023-07-07T20:05:31.4133183Z - Return value: 2023-07-07T20:05:31.4133838Z [2023-07-07 20:00:25,674] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_8]. 2023-07-07T20:05:31.4134119Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4134186Z 2023-07-07T20:05:31.4134563Z [2023-07-07 20:00:25,674] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4134933Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4134958Z 2023-07-07T20:05:31.4135278Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4135797Z - self: 2023-07-07T20:05:31.4136260Z - node: fx.Node(convert_element_type_8[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4136459Z - aten_name: 2023-07-07T20:05:31.4136709Z - function_overloads: 2023-07-07T20:05:31.4136928Z - onnx_args: 2023-07-07T20:05:31.4137136Z - onnx_kwargs: 2023-07-07T20:05:31.4137694Z - diagnostic_context: 2023-07-07T20:05:31.4138037Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4138600Z [2023-07-07 20:00:25,677] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_9]. 2023-07-07T20:05:31.4138895Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4138906Z 2023-07-07T20:05:31.4139273Z [2023-07-07 20:00:25,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4139659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4139669Z 2023-07-07T20:05:31.4139947Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4140400Z - self: 2023-07-07T20:05:31.4140811Z - node: fx.Node(convert_element_type_9[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4140990Z - aten_name: 2023-07-07T20:05:31.4141203Z - function_overloads: 2023-07-07T20:05:31.4141360Z - onnx_args: 2023-07-07T20:05:31.4141520Z - onnx_kwargs: 2023-07-07T20:05:31.4141957Z - diagnostic_context: 2023-07-07T20:05:31.4142248Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4142649Z [2023-07-07 20:00:25,684] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_4]. 2023-07-07T20:05:31.4142897Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4143210Z [2023-07-07 20:00:25,684] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4143321Z ### Exception log 2023-07-07T20:05:31.4143420Z ``` 2023-07-07T20:05:31.4143645Z Traceback (most recent call last): 2023-07-07T20:05:31.4143661Z 2023-07-07T20:05:31.4144213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4144386Z torch.testing.assert_close( 2023-07-07T20:05:31.4144396Z 2023-07-07T20:05:31.4144888Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4145051Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4145060Z 2023-07-07T20:05:31.4145302Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4145311Z 2023-07-07T20:05:31.4145500Z Mismatched elements: 10 / 24 (41.7%) 2023-07-07T20:05:31.4145707Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.4145915Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4145968Z 2023-07-07T20:05:31.4146067Z ``` 2023-07-07T20:05:31.4146250Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4146784Z - diagnostic_context: 2023-07-07T20:05:31.4147067Z - node: fx.Node(sqrt_4[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4147263Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4147433Z - torch_args: 2023-07-07T20:05:31.4147608Z - torch_kwargs: 2023-07-07T20:05:31.4147804Z - Return value: 2023-07-07T20:05:31.4148213Z [2023-07-07 20:00:25,687] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_4]. 2023-07-07T20:05:31.4148461Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4148472Z 2023-07-07T20:05:31.4148763Z [2023-07-07 20:00:25,687] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4149089Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4149099Z 2023-07-07T20:05:31.4149369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4149811Z - self: 2023-07-07T20:05:31.4150128Z - node: fx.Node(tensor_int_4[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4150310Z - aten_name: 2023-07-07T20:05:31.4150534Z - function_overloads: 2023-07-07T20:05:31.4150702Z - onnx_args: 2023-07-07T20:05:31.4150889Z - onnx_kwargs: 2023-07-07T20:05:31.4151412Z - diagnostic_context: 2023-07-07T20:05:31.4151640Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4152098Z [2023-07-07 20:00:25,700] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_32]. 2023-07-07T20:05:31.4152347Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4152357Z 2023-07-07T20:05:31.4152668Z [2023-07-07 20:00:25,700] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4152994Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4153004Z 2023-07-07T20:05:31.4153304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4153799Z - self: 2023-07-07T20:05:31.4154172Z - node: fx.Node(unsqueeze_32[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4154374Z - aten_name: 2023-07-07T20:05:31.4154598Z - function_overloads: 2023-07-07T20:05:31.4154894Z - onnx_args: 2023-07-07T20:05:31.4155108Z - onnx_kwargs: 2023-07-07T20:05:31.4155801Z - diagnostic_context: 2023-07-07T20:05:31.4156102Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4156627Z [2023-07-07 20:00:25,703] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_33]. 2023-07-07T20:05:31.4156894Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4156906Z 2023-07-07T20:05:31.4157261Z [2023-07-07 20:00:25,703] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4157642Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4157653Z 2023-07-07T20:05:31.4158056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4158580Z - self: 2023-07-07T20:05:31.4158966Z - node: fx.Node(unsqueeze_33[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4159231Z - aten_name: 2023-07-07T20:05:31.4159478Z - function_overloads: 2023-07-07T20:05:31.4159732Z - onnx_args: 2023-07-07T20:05:31.4159935Z - onnx_kwargs: 2023-07-07T20:05:31.4160516Z - diagnostic_context: 2023-07-07T20:05:31.4160809Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4161323Z [2023-07-07 20:00:25,706] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_34]. 2023-07-07T20:05:31.4161591Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4161602Z 2023-07-07T20:05:31.4161977Z [2023-07-07 20:00:25,706] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4162349Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4162364Z 2023-07-07T20:05:31.4162708Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4163225Z - self: 2023-07-07T20:05:31.4163597Z - node: fx.Node(unsqueeze_34[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4163805Z - aten_name: 2023-07-07T20:05:31.4164050Z - function_overloads: 2023-07-07T20:05:31.4164268Z - onnx_args: 2023-07-07T20:05:31.4183103Z - onnx_kwargs: 2023-07-07T20:05:31.4183499Z - diagnostic_context: 2023-07-07T20:05:31.4183664Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4183957Z [2023-07-07 20:00:25,709] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_35]. 2023-07-07T20:05:31.4184094Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4184105Z 2023-07-07T20:05:31.4184310Z [2023-07-07 20:00:25,709] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4184515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4184524Z 2023-07-07T20:05:31.4184710Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4184979Z - self: 2023-07-07T20:05:31.4185185Z - node: fx.Node(unsqueeze_35[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4185300Z - aten_name: 2023-07-07T20:05:31.4185431Z - function_overloads: 2023-07-07T20:05:31.4185534Z - onnx_args: 2023-07-07T20:05:31.4185652Z - onnx_kwargs: 2023-07-07T20:05:31.4185954Z - diagnostic_context: 2023-07-07T20:05:31.4186114Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4186510Z [2023-07-07 20:00:25,721] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_36]. 2023-07-07T20:05:31.4186659Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4186665Z 2023-07-07T20:05:31.4186865Z [2023-07-07 20:00:25,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4187069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4187076Z 2023-07-07T20:05:31.4187260Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4187560Z - self: 2023-07-07T20:05:31.4187769Z - node: fx.Node(unsqueeze_36[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4187882Z - aten_name: 2023-07-07T20:05:31.4188059Z - function_overloads: 2023-07-07T20:05:31.4188176Z - onnx_args: 2023-07-07T20:05:31.4188294Z - onnx_kwargs: 2023-07-07T20:05:31.4188639Z - diagnostic_context: 2023-07-07T20:05:31.4188783Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4189059Z [2023-07-07 20:00:25,724] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_37]. 2023-07-07T20:05:31.4189201Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4189207Z 2023-07-07T20:05:31.4189402Z [2023-07-07 20:00:25,724] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4189606Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4189612Z 2023-07-07T20:05:31.4189796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4190068Z - self: 2023-07-07T20:05:31.4190270Z - node: fx.Node(unsqueeze_37[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4190385Z - aten_name: 2023-07-07T20:05:31.4190504Z - function_overloads: 2023-07-07T20:05:31.4190616Z - onnx_args: 2023-07-07T20:05:31.4190732Z - onnx_kwargs: 2023-07-07T20:05:31.4191032Z - diagnostic_context: 2023-07-07T20:05:31.4191189Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4191462Z [2023-07-07 20:00:25,731] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_38]. 2023-07-07T20:05:31.4191604Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4191611Z 2023-07-07T20:05:31.4191808Z [2023-07-07 20:00:25,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4192003Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4192011Z 2023-07-07T20:05:31.4192193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4192461Z - self: 2023-07-07T20:05:31.4192664Z - node: fx.Node(unsqueeze_38[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4192777Z - aten_name: 2023-07-07T20:05:31.4192907Z - function_overloads: 2023-07-07T20:05:31.4193021Z - onnx_args: 2023-07-07T20:05:31.4193136Z - onnx_kwargs: 2023-07-07T20:05:31.4193429Z - diagnostic_context: 2023-07-07T20:05:31.4193585Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4193889Z [2023-07-07 20:00:25,734] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_39]. 2023-07-07T20:05:31.4194035Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4194043Z 2023-07-07T20:05:31.4194239Z [2023-07-07 20:00:25,734] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4194441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4194447Z 2023-07-07T20:05:31.4194726Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4195000Z - self: 2023-07-07T20:05:31.4195205Z - node: fx.Node(unsqueeze_39[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4195339Z - aten_name: 2023-07-07T20:05:31.4195473Z - function_overloads: 2023-07-07T20:05:31.4195587Z - onnx_args: 2023-07-07T20:05:31.4195738Z - onnx_kwargs: 2023-07-07T20:05:31.4196046Z - diagnostic_context: 2023-07-07T20:05:31.4196232Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4196520Z [2023-07-07 20:00:25,742] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.4196651Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4196657Z 2023-07-07T20:05:31.4196856Z [2023-07-07 20:00:25,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4197057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4197063Z 2023-07-07T20:05:31.4197247Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4197513Z - self: 2023-07-07T20:05:31.4197731Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4197844Z - aten_name: 2023-07-07T20:05:31.4197979Z - function_overloads: 2023-07-07T20:05:31.4198081Z - onnx_args: 2023-07-07T20:05:31.4198196Z - onnx_kwargs: 2023-07-07T20:05:31.4198496Z - diagnostic_context: 2023-07-07T20:05:31.4198706Z - Return value: 2023-07-07T20:05:31.4198987Z [2023-07-07 20:00:25,747] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.4199131Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4199333Z [2023-07-07 20:00:25,747] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4199407Z ### Exception log 2023-07-07T20:05:31.4199457Z ``` 2023-07-07T20:05:31.4199553Z Traceback (most recent call last): 2023-07-07T20:05:31.4199560Z 2023-07-07T20:05:31.4199895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4200020Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4200025Z 2023-07-07T20:05:31.4200284Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4200377Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4200382Z 2023-07-07T20:05:31.4200701Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4200795Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4200802Z 2023-07-07T20:05:31.4201061Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4201189Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4201238Z 2023-07-07T20:05:31.4201503Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4201640Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4201646Z 2023-07-07T20:05:31.4201972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4202049Z result = op.Conv( 2023-07-07T20:05:31.4202054Z 2023-07-07T20:05:31.4202339Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4202411Z return op( 2023-07-07T20:05:31.4202416Z 2023-07-07T20:05:31.4202715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4202844Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4202878Z 2023-07-07T20:05:31.4203139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4203287Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4203305Z 2023-07-07T20:05:31.4203552Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4203676Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4203681Z 2023-07-07T20:05:31.4203946Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4204123Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4204130Z 2023-07-07T20:05:31.4204583Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4204686Z node.attribute.extend( 2023-07-07T20:05:31.4204694Z 2023-07-07T20:05:31.4204956Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4205045Z make_attribute(key, value) 2023-07-07T20:05:31.4205051Z 2023-07-07T20:05:31.4205313Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4205379Z raise ValueError( 2023-07-07T20:05:31.4205384Z 2023-07-07T20:05:31.4205557Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4205562Z 2023-07-07T20:05:31.4205623Z ``` 2023-07-07T20:05:31.4205744Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4206054Z - diagnostic_context: 2023-07-07T20:05:31.4206270Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4206480Z - symbolic_fn: 2023-07-07T20:05:31.4206602Z - torch_args: 2023-07-07T20:05:31.4206708Z - torch_kwargs: 2023-07-07T20:05:31.4206836Z - Return value: 2023-07-07T20:05:31.4207152Z [2023-07-07 20:00:25,752] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_10]. 2023-07-07T20:05:31.4207311Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4207317Z 2023-07-07T20:05:31.4207512Z [2023-07-07 20:00:25,752] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4207716Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4207722Z 2023-07-07T20:05:31.4207907Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4208176Z - self: 2023-07-07T20:05:31.4208469Z - node: fx.Node(convert_element_type_10[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4208572Z - aten_name: 2023-07-07T20:05:31.4208707Z - function_overloads: 2023-07-07T20:05:31.4208823Z - onnx_args: 2023-07-07T20:05:31.4208937Z - onnx_kwargs: 2023-07-07T20:05:31.4209239Z - diagnostic_context: 2023-07-07T20:05:31.4209423Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4209733Z [2023-07-07 20:00:25,755] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_11]. 2023-07-07T20:05:31.4209920Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4209940Z 2023-07-07T20:05:31.4210126Z [2023-07-07 20:00:25,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4210367Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4210372Z 2023-07-07T20:05:31.4210556Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4210861Z - self: 2023-07-07T20:05:31.4211098Z - node: fx.Node(convert_element_type_11[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4211209Z - aten_name: 2023-07-07T20:05:31.4211340Z - function_overloads: 2023-07-07T20:05:31.4211455Z - onnx_args: 2023-07-07T20:05:31.4211559Z - onnx_kwargs: 2023-07-07T20:05:31.4211866Z - diagnostic_context: 2023-07-07T20:05:31.4212047Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4212297Z [2023-07-07 20:00:25,763] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_5]. 2023-07-07T20:05:31.4212432Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4212617Z [2023-07-07 20:00:25,763] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4212693Z ### Exception log 2023-07-07T20:05:31.4212742Z ``` 2023-07-07T20:05:31.4212836Z Traceback (most recent call last): 2023-07-07T20:05:31.4212843Z 2023-07-07T20:05:31.4213171Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4213267Z torch.testing.assert_close( 2023-07-07T20:05:31.4213272Z 2023-07-07T20:05:31.4213558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4213651Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4213657Z 2023-07-07T20:05:31.4213813Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4213821Z 2023-07-07T20:05:31.4213915Z Mismatched elements: 13 / 24 (54.2%) 2023-07-07T20:05:31.4214051Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4214178Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4214197Z 2023-07-07T20:05:31.4214244Z ``` 2023-07-07T20:05:31.4214364Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4214668Z - diagnostic_context: 2023-07-07T20:05:31.4214843Z - node: fx.Node(sqrt_5[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4214986Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4215103Z - torch_args: 2023-07-07T20:05:31.4215221Z - torch_kwargs: 2023-07-07T20:05:31.4215338Z - Return value: 2023-07-07T20:05:31.4215593Z [2023-07-07 20:00:25,766] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_5]. 2023-07-07T20:05:31.4215766Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4215772Z 2023-07-07T20:05:31.4215970Z [2023-07-07 20:00:25,766] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4216175Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4216181Z 2023-07-07T20:05:31.4216362Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4216628Z - self: 2023-07-07T20:05:31.4216812Z - node: fx.Node(tensor_int_5[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4216912Z - aten_name: 2023-07-07T20:05:31.4217072Z - function_overloads: 2023-07-07T20:05:31.4217188Z - onnx_args: 2023-07-07T20:05:31.4217305Z - onnx_kwargs: 2023-07-07T20:05:31.4217611Z - diagnostic_context: 2023-07-07T20:05:31.4217798Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4218076Z [2023-07-07 20:00:25,778] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_40]. 2023-07-07T20:05:31.4218247Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4218253Z 2023-07-07T20:05:31.4218438Z [2023-07-07 20:00:25,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4218641Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4218646Z 2023-07-07T20:05:31.4218828Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4219098Z - self: 2023-07-07T20:05:31.4219302Z - node: fx.Node(unsqueeze_40[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4219416Z - aten_name: 2023-07-07T20:05:31.4219549Z - function_overloads: 2023-07-07T20:05:31.4219664Z - onnx_args: 2023-07-07T20:05:31.4219770Z - onnx_kwargs: 2023-07-07T20:05:31.4220071Z - diagnostic_context: 2023-07-07T20:05:31.4220228Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4220502Z [2023-07-07 20:00:25,781] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_41]. 2023-07-07T20:05:31.4220645Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4220650Z 2023-07-07T20:05:31.4220846Z [2023-07-07 20:00:25,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4221051Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4221057Z 2023-07-07T20:05:31.4221242Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4221508Z - self: 2023-07-07T20:05:31.4221700Z - node: fx.Node(unsqueeze_41[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4221812Z - aten_name: 2023-07-07T20:05:31.4221944Z - function_overloads: 2023-07-07T20:05:31.4222059Z - onnx_args: 2023-07-07T20:05:31.4222176Z - onnx_kwargs: 2023-07-07T20:05:31.4222479Z - diagnostic_context: 2023-07-07T20:05:31.4222636Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4222902Z [2023-07-07 20:00:25,783] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_42]. 2023-07-07T20:05:31.4223044Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4223051Z 2023-07-07T20:05:31.4223310Z [2023-07-07 20:00:25,783] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4223515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4223523Z 2023-07-07T20:05:31.4223707Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4223974Z - self: 2023-07-07T20:05:31.4224179Z - node: fx.Node(unsqueeze_42[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4224293Z - aten_name: 2023-07-07T20:05:31.4224424Z - function_overloads: 2023-07-07T20:05:31.4224526Z - onnx_args: 2023-07-07T20:05:31.4224677Z - onnx_kwargs: 2023-07-07T20:05:31.4224982Z - diagnostic_context: 2023-07-07T20:05:31.4225167Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4225444Z [2023-07-07 20:00:25,786] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_43]. 2023-07-07T20:05:31.4225625Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4225631Z 2023-07-07T20:05:31.4225826Z [2023-07-07 20:00:25,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4226028Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4226034Z 2023-07-07T20:05:31.4226204Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4226472Z - self: 2023-07-07T20:05:31.4226678Z - node: fx.Node(unsqueeze_43[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4226791Z - aten_name: 2023-07-07T20:05:31.4226923Z - function_overloads: 2023-07-07T20:05:31.4227042Z - onnx_args: 2023-07-07T20:05:31.4227157Z - onnx_kwargs: 2023-07-07T20:05:31.4227458Z - diagnostic_context: 2023-07-07T20:05:31.4227603Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4227875Z [2023-07-07 20:00:25,795] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_44]. 2023-07-07T20:05:31.4228017Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4228024Z 2023-07-07T20:05:31.4228220Z [2023-07-07 20:00:25,795] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4228424Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4228430Z 2023-07-07T20:05:31.4228615Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4228887Z - self: 2023-07-07T20:05:31.4229091Z - node: fx.Node(unsqueeze_44[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4229207Z - aten_name: 2023-07-07T20:05:31.4229326Z - function_overloads: 2023-07-07T20:05:31.4229440Z - onnx_args: 2023-07-07T20:05:31.4229557Z - onnx_kwargs: 2023-07-07T20:05:31.4229927Z - diagnostic_context: 2023-07-07T20:05:31.4230178Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4230600Z [2023-07-07 20:00:25,798] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_45]. 2023-07-07T20:05:31.4230749Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4230755Z 2023-07-07T20:05:31.4230944Z [2023-07-07 20:00:25,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4231189Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4231195Z 2023-07-07T20:05:31.4231381Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4231648Z - self: 2023-07-07T20:05:31.4231852Z - node: fx.Node(unsqueeze_45[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4231968Z - aten_name: 2023-07-07T20:05:31.4232099Z - function_overloads: 2023-07-07T20:05:31.4232215Z - onnx_args: 2023-07-07T20:05:31.4232318Z - onnx_kwargs: 2023-07-07T20:05:31.4232652Z - diagnostic_context: 2023-07-07T20:05:31.4232813Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4233091Z [2023-07-07 20:00:25,806] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_46]. 2023-07-07T20:05:31.4233265Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4233271Z 2023-07-07T20:05:31.4233497Z [2023-07-07 20:00:25,806] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4233699Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4233705Z 2023-07-07T20:05:31.4233887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4234156Z - self: 2023-07-07T20:05:31.4234348Z - node: fx.Node(unsqueeze_46[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4234463Z - aten_name: 2023-07-07T20:05:31.4234595Z - function_overloads: 2023-07-07T20:05:31.4234786Z - onnx_args: 2023-07-07T20:05:31.4234903Z - onnx_kwargs: 2023-07-07T20:05:31.4235208Z - diagnostic_context: 2023-07-07T20:05:31.4235366Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4235642Z [2023-07-07 20:00:25,808] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_47]. 2023-07-07T20:05:31.4235770Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4235776Z 2023-07-07T20:05:31.4235971Z [2023-07-07 20:00:25,809] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4236174Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4236180Z 2023-07-07T20:05:31.4236364Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4236632Z - self: 2023-07-07T20:05:31.4236841Z - node: fx.Node(unsqueeze_47[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4236954Z - aten_name: 2023-07-07T20:05:31.4237086Z - function_overloads: 2023-07-07T20:05:31.4237190Z - onnx_args: 2023-07-07T20:05:31.4237307Z - onnx_kwargs: 2023-07-07T20:05:31.4237609Z - diagnostic_context: 2023-07-07T20:05:31.4237768Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4238011Z [2023-07-07 20:00:25,827] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T20:05:31.4238144Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4238150Z 2023-07-07T20:05:31.4238346Z [2023-07-07 20:00:25,827] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4238545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4238553Z 2023-07-07T20:05:31.4238766Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4239023Z - self: 2023-07-07T20:05:31.4239195Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T20:05:31.4239307Z - aten_name: 2023-07-07T20:05:31.4239438Z - function_overloads: 2023-07-07T20:05:31.4239552Z - onnx_args: 2023-07-07T20:05:31.4239667Z - onnx_kwargs: 2023-07-07T20:05:31.4239966Z - diagnostic_context: 2023-07-07T20:05:31.4240096Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.4240361Z [2023-07-07 20:00:25,834] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.4240502Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4240536Z 2023-07-07T20:05:31.4240734Z [2023-07-07 20:00:25,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4240934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4240966Z 2023-07-07T20:05:31.4241148Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4241413Z - self: 2023-07-07T20:05:31.4241585Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.4241697Z - aten_name: 2023-07-07T20:05:31.4241815Z - function_overloads: 2023-07-07T20:05:31.4241929Z - onnx_args: 2023-07-07T20:05:31.4242047Z - onnx_kwargs: 2023-07-07T20:05:31.4242349Z - diagnostic_context: 2023-07-07T20:05:31.4242503Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.4242755Z [2023-07-07 20:00:25,835] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:31.4242896Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4242902Z 2023-07-07T20:05:31.4243084Z [2023-07-07 20:00:25,835] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4243285Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4243291Z 2023-07-07T20:05:31.4243471Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4243739Z - self: 2023-07-07T20:05:31.4243914Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:31.4244025Z - aten_name: 2023-07-07T20:05:31.4244156Z - function_overloads: 2023-07-07T20:05:31.4244273Z - onnx_args: 2023-07-07T20:05:31.4244557Z - onnx_kwargs: 2023-07-07T20:05:31.4244878Z - diagnostic_context: 2023-07-07T20:05:31.4245035Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.4245298Z [2023-07-07 20:00:25,844] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:31.4245441Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4245446Z 2023-07-07T20:05:31.4245642Z [2023-07-07 20:00:25,844] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4245845Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4245852Z 2023-07-07T20:05:31.4246035Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4246302Z - self: 2023-07-07T20:05:31.4246544Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:31.4246660Z - aten_name: 2023-07-07T20:05:31.4246794Z - function_overloads: 2023-07-07T20:05:31.4246909Z - onnx_args: 2023-07-07T20:05:31.4247025Z - onnx_kwargs: 2023-07-07T20:05:31.4247326Z - diagnostic_context: 2023-07-07T20:05:31.4247537Z - Return value: 2023-07-07T20:05:31.4247785Z [2023-07-07 20:00:25,848] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:31.4253641Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4253729Z 2023-07-07T20:05:31.4254242Z [2023-07-07 20:00:25,848] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4254447Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4254514Z 2023-07-07T20:05:31.4254693Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4255013Z - self: 2023-07-07T20:05:31.4255199Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:31.4255315Z - aten_name: 2023-07-07T20:05:31.4255449Z - function_overloads: 2023-07-07T20:05:31.4255568Z - onnx_args: 2023-07-07T20:05:31.4255690Z - onnx_kwargs: 2023-07-07T20:05:31.4255983Z - diagnostic_context: 2023-07-07T20:05:31.4256135Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.4256392Z [2023-07-07 20:00:25,858] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:31.4256535Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4256544Z 2023-07-07T20:05:31.4256745Z [2023-07-07 20:00:25,858] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4256957Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4256964Z 2023-07-07T20:05:31.4257151Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4257426Z - self: 2023-07-07T20:05:31.4257606Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.4257707Z - aten_name: 2023-07-07T20:05:31.4257839Z - function_overloads: 2023-07-07T20:05:31.4257958Z - onnx_args: 2023-07-07T20:05:31.4258076Z - onnx_kwargs: 2023-07-07T20:05:31.4258382Z - diagnostic_context: 2023-07-07T20:05:31.4258536Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.4258806Z [2023-07-07 20:00:25,870] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T20:05:31.4258934Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4258940Z 2023-07-07T20:05:31.4259139Z [2023-07-07 20:00:25,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4259342Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4259348Z 2023-07-07T20:05:31.4259532Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4259803Z - self: 2023-07-07T20:05:31.4260003Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T20:05:31.4260119Z - aten_name: 2023-07-07T20:05:31.4260295Z - function_overloads: 2023-07-07T20:05:31.4260401Z - onnx_args: 2023-07-07T20:05:31.4260520Z - onnx_kwargs: 2023-07-07T20:05:31.4260825Z - diagnostic_context: 2023-07-07T20:05:31.4260978Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4261249Z [2023-07-07 20:00:25,872] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T20:05:31.4261388Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4261394Z 2023-07-07T20:05:31.4261592Z [2023-07-07 20:00:25,872] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4261844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4261850Z 2023-07-07T20:05:31.4262037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4262326Z - self: 2023-07-07T20:05:31.4262557Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T20:05:31.4262671Z - aten_name: 2023-07-07T20:05:31.4262803Z - function_overloads: 2023-07-07T20:05:31.4262919Z - onnx_args: 2023-07-07T20:05:31.4263036Z - onnx_kwargs: 2023-07-07T20:05:31.4263341Z - diagnostic_context: 2023-07-07T20:05:31.4263482Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4263766Z [2023-07-07 20:00:25,874] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.4263912Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4263918Z 2023-07-07T20:05:31.4264119Z [2023-07-07 20:00:25,874] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4264325Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4264333Z 2023-07-07T20:05:31.4264517Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4264787Z - self: 2023-07-07T20:05:31.4265002Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4265116Z - aten_name: 2023-07-07T20:05:31.4265234Z - function_overloads: 2023-07-07T20:05:31.4265349Z - onnx_args: 2023-07-07T20:05:31.4265466Z - onnx_kwargs: 2023-07-07T20:05:31.4265772Z - diagnostic_context: 2023-07-07T20:05:31.4265984Z - Return value: 2023-07-07T20:05:31.4266270Z [2023-07-07 20:00:25,879] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.4266417Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4266618Z [2023-07-07 20:00:25,879] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4266680Z ### Exception log 2023-07-07T20:05:31.4266741Z ``` 2023-07-07T20:05:31.4266837Z Traceback (most recent call last): 2023-07-07T20:05:31.4266843Z 2023-07-07T20:05:31.4267177Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4267302Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4267308Z 2023-07-07T20:05:31.4267571Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4267666Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4267674Z 2023-07-07T20:05:31.4268022Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4268124Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4268130Z 2023-07-07T20:05:31.4268377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4268543Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4268549Z 2023-07-07T20:05:31.4268823Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4268958Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4268963Z 2023-07-07T20:05:31.4269325Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4269429Z result = op.Conv( 2023-07-07T20:05:31.4269435Z 2023-07-07T20:05:31.4269720Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4269820Z return op( 2023-07-07T20:05:31.4269825Z 2023-07-07T20:05:31.4270085Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4270199Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4270217Z 2023-07-07T20:05:31.4270461Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4270594Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4270599Z 2023-07-07T20:05:31.4270864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4270989Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4270997Z 2023-07-07T20:05:31.4271265Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4271441Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4271448Z 2023-07-07T20:05:31.4271701Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4271799Z node.attribute.extend( 2023-07-07T20:05:31.4271805Z 2023-07-07T20:05:31.4272058Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4272133Z make_attribute(key, value) 2023-07-07T20:05:31.4272151Z 2023-07-07T20:05:31.4272403Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4272483Z raise ValueError( 2023-07-07T20:05:31.4272488Z 2023-07-07T20:05:31.4272664Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4272673Z 2023-07-07T20:05:31.4272736Z ``` 2023-07-07T20:05:31.4272859Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4273167Z - diagnostic_context: 2023-07-07T20:05:31.4273382Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4273593Z - symbolic_fn: 2023-07-07T20:05:31.4273699Z - torch_args: 2023-07-07T20:05:31.4273819Z - torch_kwargs: 2023-07-07T20:05:31.4273947Z - Return value: 2023-07-07T20:05:31.4274263Z [2023-07-07 20:00:25,904] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_12]. 2023-07-07T20:05:31.4274423Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4274429Z 2023-07-07T20:05:31.4274717Z [2023-07-07 20:00:25,904] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4274969Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4274978Z 2023-07-07T20:05:31.4275167Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4275425Z - self: 2023-07-07T20:05:31.4275666Z - node: fx.Node(convert_element_type_12[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4275780Z - aten_name: 2023-07-07T20:05:31.4275913Z - function_overloads: 2023-07-07T20:05:31.4276031Z - onnx_args: 2023-07-07T20:05:31.4276177Z - onnx_kwargs: 2023-07-07T20:05:31.4276485Z - diagnostic_context: 2023-07-07T20:05:31.4276668Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4276999Z [2023-07-07 20:00:25,908] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_13]. 2023-07-07T20:05:31.4277188Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4277194Z 2023-07-07T20:05:31.4277393Z [2023-07-07 20:00:25,908] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4277598Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4277603Z 2023-07-07T20:05:31.4277788Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4278059Z - self: 2023-07-07T20:05:31.4278296Z - node: fx.Node(convert_element_type_13[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4278413Z - aten_name: 2023-07-07T20:05:31.4278551Z - function_overloads: 2023-07-07T20:05:31.4278655Z - onnx_args: 2023-07-07T20:05:31.4278771Z - onnx_kwargs: 2023-07-07T20:05:31.4279075Z - diagnostic_context: 2023-07-07T20:05:31.4279256Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4279509Z [2023-07-07 20:00:25,940] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_6]. 2023-07-07T20:05:31.4279643Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4279830Z [2023-07-07 20:00:25,941] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4279891Z ### Exception log 2023-07-07T20:05:31.4279952Z ``` 2023-07-07T20:05:31.4280047Z Traceback (most recent call last): 2023-07-07T20:05:31.4280053Z 2023-07-07T20:05:31.4280385Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4280487Z torch.testing.assert_close( 2023-07-07T20:05:31.4280492Z 2023-07-07T20:05:31.4280777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4280876Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4280882Z 2023-07-07T20:05:31.4281038Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4281044Z 2023-07-07T20:05:31.4281138Z Mismatched elements: 13 / 24 (54.2%) 2023-07-07T20:05:31.4281260Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4281397Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4281403Z 2023-07-07T20:05:31.4281468Z ``` 2023-07-07T20:05:31.4281589Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4281895Z - diagnostic_context: 2023-07-07T20:05:31.4282109Z - node: fx.Node(sqrt_6[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4282254Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4282360Z - torch_args: 2023-07-07T20:05:31.4282483Z - torch_kwargs: 2023-07-07T20:05:31.4282612Z - Return value: 2023-07-07T20:05:31.4282867Z [2023-07-07 20:00:25,966] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_6]. 2023-07-07T20:05:31.4283009Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4283014Z 2023-07-07T20:05:31.4283211Z [2023-07-07 20:00:25,966] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4283445Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4283452Z 2023-07-07T20:05:31.4283638Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4283931Z - self: 2023-07-07T20:05:31.4284104Z - node: fx.Node(tensor_int_6[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4284293Z - aten_name: 2023-07-07T20:05:31.4284583Z - function_overloads: 2023-07-07T20:05:31.4284722Z - onnx_args: 2023-07-07T20:05:31.4284840Z - onnx_kwargs: 2023-07-07T20:05:31.4285133Z - diagnostic_context: 2023-07-07T20:05:31.4285291Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4285567Z [2023-07-07 20:00:25,979] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_48]. 2023-07-07T20:05:31.4285713Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4285719Z 2023-07-07T20:05:31.4285916Z [2023-07-07 20:00:25,979] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4286124Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4286130Z 2023-07-07T20:05:31.4286315Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4286584Z - self: 2023-07-07T20:05:31.4286789Z - node: fx.Node(unsqueeze_48[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4286890Z - aten_name: 2023-07-07T20:05:31.4287023Z - function_overloads: 2023-07-07T20:05:31.4287139Z - onnx_args: 2023-07-07T20:05:31.4287251Z - onnx_kwargs: 2023-07-07T20:05:31.4287553Z - diagnostic_context: 2023-07-07T20:05:31.4287710Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4287985Z [2023-07-07 20:00:25,982] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_49]. 2023-07-07T20:05:31.4288133Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4288139Z 2023-07-07T20:05:31.4288325Z [2023-07-07 20:00:25,982] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4288524Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4288529Z 2023-07-07T20:05:31.4288710Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4288976Z - self: 2023-07-07T20:05:31.4289180Z - node: fx.Node(unsqueeze_49[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4289296Z - aten_name: 2023-07-07T20:05:31.4289429Z - function_overloads: 2023-07-07T20:05:31.4289543Z - onnx_args: 2023-07-07T20:05:31.4289646Z - onnx_kwargs: 2023-07-07T20:05:31.4290015Z - diagnostic_context: 2023-07-07T20:05:31.4290175Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4290448Z [2023-07-07 20:00:25,984] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_50]. 2023-07-07T20:05:31.4290592Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4290598Z 2023-07-07T20:05:31.4290796Z [2023-07-07 20:00:25,984] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4290999Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4291004Z 2023-07-07T20:05:31.4291231Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4291499Z - self: 2023-07-07T20:05:31.4291727Z - node: fx.Node(unsqueeze_50[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4291843Z - aten_name: 2023-07-07T20:05:31.4291973Z - function_overloads: 2023-07-07T20:05:31.4292125Z - onnx_args: 2023-07-07T20:05:31.4292239Z - onnx_kwargs: 2023-07-07T20:05:31.4292539Z - diagnostic_context: 2023-07-07T20:05:31.4292697Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4292961Z [2023-07-07 20:00:25,986] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_51]. 2023-07-07T20:05:31.4293100Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4293106Z 2023-07-07T20:05:31.4293302Z [2023-07-07 20:00:25,986] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4293502Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4293510Z 2023-07-07T20:05:31.4293694Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4293960Z - self: 2023-07-07T20:05:31.4294165Z - node: fx.Node(unsqueeze_51[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4294278Z - aten_name: 2023-07-07T20:05:31.4294407Z - function_overloads: 2023-07-07T20:05:31.4294509Z - onnx_args: 2023-07-07T20:05:31.4294623Z - onnx_kwargs: 2023-07-07T20:05:31.4294926Z - diagnostic_context: 2023-07-07T20:05:31.4295080Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4295357Z [2023-07-07 20:00:25,994] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_52]. 2023-07-07T20:05:31.4295497Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4295505Z 2023-07-07T20:05:31.4295701Z [2023-07-07 20:00:25,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4295903Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4295911Z 2023-07-07T20:05:31.4296083Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4296348Z - self: 2023-07-07T20:05:31.4296550Z - node: fx.Node(unsqueeze_52[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4296662Z - aten_name: 2023-07-07T20:05:31.4296790Z - function_overloads: 2023-07-07T20:05:31.4296905Z - onnx_args: 2023-07-07T20:05:31.4297021Z - onnx_kwargs: 2023-07-07T20:05:31.4297318Z - diagnostic_context: 2023-07-07T20:05:31.4297494Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4297768Z [2023-07-07 20:00:25,996] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_53]. 2023-07-07T20:05:31.4297911Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4297916Z 2023-07-07T20:05:31.4298111Z [2023-07-07 20:00:25,996] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4298310Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4298316Z 2023-07-07T20:05:31.4298493Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4298785Z - self: 2023-07-07T20:05:31.4298989Z - node: fx.Node(unsqueeze_53[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4299089Z - aten_name: 2023-07-07T20:05:31.4299246Z - function_overloads: 2023-07-07T20:05:31.4299362Z - onnx_args: 2023-07-07T20:05:31.4299475Z - onnx_kwargs: 2023-07-07T20:05:31.4299803Z - diagnostic_context: 2023-07-07T20:05:31.4299958Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4300229Z [2023-07-07 20:00:26,001] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_54]. 2023-07-07T20:05:31.4300369Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4300375Z 2023-07-07T20:05:31.4300559Z [2023-07-07 20:00:26,001] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4300761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4300767Z 2023-07-07T20:05:31.4300946Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4301212Z - self: 2023-07-07T20:05:31.4301413Z - node: fx.Node(unsqueeze_54[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4301523Z - aten_name: 2023-07-07T20:05:31.4301653Z - function_overloads: 2023-07-07T20:05:31.4301767Z - onnx_args: 2023-07-07T20:05:31.4301870Z - onnx_kwargs: 2023-07-07T20:05:31.4302170Z - diagnostic_context: 2023-07-07T20:05:31.4302326Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4302603Z [2023-07-07 20:00:26,004] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_55]. 2023-07-07T20:05:31.4302746Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4302751Z 2023-07-07T20:05:31.4302947Z [2023-07-07 20:00:26,004] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4303153Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4303161Z 2023-07-07T20:05:31.4303343Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4303608Z - self: 2023-07-07T20:05:31.4303797Z - node: fx.Node(unsqueeze_55[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4303911Z - aten_name: 2023-07-07T20:05:31.4304042Z - function_overloads: 2023-07-07T20:05:31.4304156Z - onnx_args: 2023-07-07T20:05:31.4304271Z - onnx_kwargs: 2023-07-07T20:05:31.4304575Z - diagnostic_context: 2023-07-07T20:05:31.4304731Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4305034Z [2023-07-07 20:00:26,017] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.4305182Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4305189Z 2023-07-07T20:05:31.4305384Z [2023-07-07 20:00:26,017] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4305585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4305590Z 2023-07-07T20:05:31.4305770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4306035Z - self: 2023-07-07T20:05:31.4306275Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4306388Z - aten_name: 2023-07-07T20:05:31.4306518Z - function_overloads: 2023-07-07T20:05:31.4306621Z - onnx_args: 2023-07-07T20:05:31.4306763Z - onnx_kwargs: 2023-07-07T20:05:31.4307066Z - diagnostic_context: 2023-07-07T20:05:31.4307314Z - Return value: 2023-07-07T20:05:31.4307593Z [2023-07-07 20:00:26,021] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.4307734Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4307932Z [2023-07-07 20:00:26,021] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4308007Z ### Exception log 2023-07-07T20:05:31.4308055Z ``` 2023-07-07T20:05:31.4308149Z Traceback (most recent call last): 2023-07-07T20:05:31.4308155Z 2023-07-07T20:05:31.4308487Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4308614Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4308620Z 2023-07-07T20:05:31.4308881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4308976Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4308982Z 2023-07-07T20:05:31.4309298Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4309393Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4309399Z 2023-07-07T20:05:31.4309657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4309781Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4309786Z 2023-07-07T20:05:31.4310062Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4310196Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4310204Z 2023-07-07T20:05:31.4310531Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4310611Z result = op.Conv( 2023-07-07T20:05:31.4310617Z 2023-07-07T20:05:31.4310899Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4310969Z return op( 2023-07-07T20:05:31.4310975Z 2023-07-07T20:05:31.4311232Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4311358Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4311364Z 2023-07-07T20:05:31.4311625Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4311742Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4311750Z 2023-07-07T20:05:31.4312044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4312169Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4312177Z 2023-07-07T20:05:31.4312443Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4312618Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4312623Z 2023-07-07T20:05:31.4312872Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4312964Z node.attribute.extend( 2023-07-07T20:05:31.4312970Z 2023-07-07T20:05:31.4313262Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4313350Z make_attribute(key, value) 2023-07-07T20:05:31.4313356Z 2023-07-07T20:05:31.4313636Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4313715Z raise ValueError( 2023-07-07T20:05:31.4313721Z 2023-07-07T20:05:31.4313921Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4313926Z 2023-07-07T20:05:31.4313986Z ``` 2023-07-07T20:05:31.4314109Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4314417Z - diagnostic_context: 2023-07-07T20:05:31.4314734Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4314954Z - symbolic_fn: 2023-07-07T20:05:31.4315071Z - torch_args: 2023-07-07T20:05:31.4315180Z - torch_kwargs: 2023-07-07T20:05:31.4315308Z - Return value: 2023-07-07T20:05:31.4315624Z [2023-07-07 20:00:26,025] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_14]. 2023-07-07T20:05:31.4315785Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4315794Z 2023-07-07T20:05:31.4315992Z [2023-07-07 20:00:26,025] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4316197Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4316203Z 2023-07-07T20:05:31.4316385Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4316655Z - self: 2023-07-07T20:05:31.4316888Z - node: fx.Node(convert_element_type_14[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4317003Z - aten_name: 2023-07-07T20:05:31.4317135Z - function_overloads: 2023-07-07T20:05:31.4317254Z - onnx_args: 2023-07-07T20:05:31.4317372Z - onnx_kwargs: 2023-07-07T20:05:31.4317677Z - diagnostic_context: 2023-07-07T20:05:31.4317862Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4318169Z [2023-07-07 20:00:26,027] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_15]. 2023-07-07T20:05:31.4318315Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4318321Z 2023-07-07T20:05:31.4318515Z [2023-07-07 20:00:26,027] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4318716Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4318723Z 2023-07-07T20:05:31.4318906Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4319217Z - self: 2023-07-07T20:05:31.4319462Z - node: fx.Node(convert_element_type_15[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4319578Z - aten_name: 2023-07-07T20:05:31.4319709Z - function_overloads: 2023-07-07T20:05:31.4319823Z - onnx_args: 2023-07-07T20:05:31.4319927Z - onnx_kwargs: 2023-07-07T20:05:31.4320228Z - diagnostic_context: 2023-07-07T20:05:31.4320411Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4320663Z [2023-07-07 20:00:26,033] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_7]. 2023-07-07T20:05:31.4320827Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4321017Z [2023-07-07 20:00:26,033] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4321123Z ### Exception log 2023-07-07T20:05:31.4321172Z ``` 2023-07-07T20:05:31.4321269Z Traceback (most recent call last): 2023-07-07T20:05:31.4321275Z 2023-07-07T20:05:31.4321607Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4321734Z torch.testing.assert_close( 2023-07-07T20:05:31.4321740Z 2023-07-07T20:05:31.4322021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4322114Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4322119Z 2023-07-07T20:05:31.4322276Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4322282Z 2023-07-07T20:05:31.4322374Z Mismatched elements: 13 / 24 (54.2%) 2023-07-07T20:05:31.4322513Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4322638Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4322645Z 2023-07-07T20:05:31.4322706Z ``` 2023-07-07T20:05:31.4322828Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4323131Z - diagnostic_context: 2023-07-07T20:05:31.4323311Z - node: fx.Node(sqrt_7[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4323452Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4323569Z - torch_args: 2023-07-07T20:05:31.4323676Z - torch_kwargs: 2023-07-07T20:05:31.4323804Z - Return value: 2023-07-07T20:05:31.4324059Z [2023-07-07 20:00:26,036] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_7]. 2023-07-07T20:05:31.4324200Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4324208Z 2023-07-07T20:05:31.4324525Z [2023-07-07 20:00:26,036] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4324734Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4324742Z 2023-07-07T20:05:31.4324925Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4325198Z - self: 2023-07-07T20:05:31.4325385Z - node: fx.Node(tensor_int_7[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4325485Z - aten_name: 2023-07-07T20:05:31.4325616Z - function_overloads: 2023-07-07T20:05:31.4325735Z - onnx_args: 2023-07-07T20:05:31.4325851Z - onnx_kwargs: 2023-07-07T20:05:31.4326155Z - diagnostic_context: 2023-07-07T20:05:31.4326316Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4326593Z [2023-07-07 20:00:26,047] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_56]. 2023-07-07T20:05:31.4326781Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4326801Z 2023-07-07T20:05:31.4326989Z [2023-07-07 20:00:26,047] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4327195Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4327201Z 2023-07-07T20:05:31.4327384Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4327651Z - self: 2023-07-07T20:05:31.4327857Z - node: fx.Node(unsqueeze_56[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4327970Z - aten_name: 2023-07-07T20:05:31.4328136Z - function_overloads: 2023-07-07T20:05:31.4328253Z - onnx_args: 2023-07-07T20:05:31.4328358Z - onnx_kwargs: 2023-07-07T20:05:31.4328701Z - diagnostic_context: 2023-07-07T20:05:31.4328857Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4329171Z [2023-07-07 20:00:26,050] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_57]. 2023-07-07T20:05:31.4329311Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4329316Z 2023-07-07T20:05:31.4329510Z [2023-07-07 20:00:26,050] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4329709Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4329714Z 2023-07-07T20:05:31.4329898Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4330162Z - self: 2023-07-07T20:05:31.4330353Z - node: fx.Node(unsqueeze_57[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4330470Z - aten_name: 2023-07-07T20:05:31.4330602Z - function_overloads: 2023-07-07T20:05:31.4330716Z - onnx_args: 2023-07-07T20:05:31.4330835Z - onnx_kwargs: 2023-07-07T20:05:31.4331136Z - diagnostic_context: 2023-07-07T20:05:31.4331293Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4331556Z [2023-07-07 20:00:26,053] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_58]. 2023-07-07T20:05:31.4331697Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4331703Z 2023-07-07T20:05:31.4331901Z [2023-07-07 20:00:26,053] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4332103Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4332110Z 2023-07-07T20:05:31.4332295Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4332560Z - self: 2023-07-07T20:05:31.4332766Z - node: fx.Node(unsqueeze_58[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4332879Z - aten_name: 2023-07-07T20:05:31.4332996Z - function_overloads: 2023-07-07T20:05:31.4333110Z - onnx_args: 2023-07-07T20:05:31.4333226Z - onnx_kwargs: 2023-07-07T20:05:31.4333527Z - diagnostic_context: 2023-07-07T20:05:31.4333683Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4333959Z [2023-07-07 20:00:26,055] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_59]. 2023-07-07T20:05:31.4334099Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4334107Z 2023-07-07T20:05:31.4334334Z [2023-07-07 20:00:26,055] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4334538Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4334546Z 2023-07-07T20:05:31.4334714Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4334980Z - self: 2023-07-07T20:05:31.4335182Z - node: fx.Node(unsqueeze_59[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4335295Z - aten_name: 2023-07-07T20:05:31.4335426Z - function_overloads: 2023-07-07T20:05:31.4335541Z - onnx_args: 2023-07-07T20:05:31.4335686Z - onnx_kwargs: 2023-07-07T20:05:31.4335978Z - diagnostic_context: 2023-07-07T20:05:31.4336163Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4336437Z [2023-07-07 20:00:26,065] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_60]. 2023-07-07T20:05:31.4336616Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4336623Z 2023-07-07T20:05:31.4336822Z [2023-07-07 20:00:26,065] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4337022Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4337028Z 2023-07-07T20:05:31.4337209Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4337475Z - self: 2023-07-07T20:05:31.4337685Z - node: fx.Node(unsqueeze_60[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4337785Z - aten_name: 2023-07-07T20:05:31.4337919Z - function_overloads: 2023-07-07T20:05:31.4338036Z - onnx_args: 2023-07-07T20:05:31.4338155Z - onnx_kwargs: 2023-07-07T20:05:31.4338456Z - diagnostic_context: 2023-07-07T20:05:31.4338616Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4338893Z [2023-07-07 20:00:26,067] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_61]. 2023-07-07T20:05:31.4339034Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4339040Z 2023-07-07T20:05:31.4339223Z [2023-07-07 20:00:26,067] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4339429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4339435Z 2023-07-07T20:05:31.4339616Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4339891Z - self: 2023-07-07T20:05:31.4340096Z - node: fx.Node(unsqueeze_61[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4340212Z - aten_name: 2023-07-07T20:05:31.4340343Z - function_overloads: 2023-07-07T20:05:31.4340459Z - onnx_args: 2023-07-07T20:05:31.4340562Z - onnx_kwargs: 2023-07-07T20:05:31.4340865Z - diagnostic_context: 2023-07-07T20:05:31.4341021Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4341294Z [2023-07-07 20:00:26,073] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_62]. 2023-07-07T20:05:31.4341438Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4341443Z 2023-07-07T20:05:31.4341643Z [2023-07-07 20:00:26,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4341886Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4341893Z 2023-07-07T20:05:31.4342077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4342344Z - self: 2023-07-07T20:05:31.4342533Z - node: fx.Node(unsqueeze_62[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4342646Z - aten_name: 2023-07-07T20:05:31.4342776Z - function_overloads: 2023-07-07T20:05:31.4342891Z - onnx_args: 2023-07-07T20:05:31.4343007Z - onnx_kwargs: 2023-07-07T20:05:31.4343341Z - diagnostic_context: 2023-07-07T20:05:31.4343499Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4343759Z [2023-07-07 20:00:26,075] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_63]. 2023-07-07T20:05:31.4343969Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4344007Z 2023-07-07T20:05:31.4344204Z [2023-07-07 20:00:26,075] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4344403Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4344408Z 2023-07-07T20:05:31.4344587Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4344852Z - self: 2023-07-07T20:05:31.4345058Z - node: fx.Node(unsqueeze_63[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4345173Z - aten_name: 2023-07-07T20:05:31.4345305Z - function_overloads: 2023-07-07T20:05:31.4345407Z - onnx_args: 2023-07-07T20:05:31.4345524Z - onnx_kwargs: 2023-07-07T20:05:31.4345825Z - diagnostic_context: 2023-07-07T20:05:31.4345980Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4346267Z [2023-07-07 20:00:26,081] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.4346411Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4346417Z 2023-07-07T20:05:31.4346613Z [2023-07-07 20:00:26,081] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4346814Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4346820Z 2023-07-07T20:05:31.4346991Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4347259Z - self: 2023-07-07T20:05:31.4347476Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4347590Z - aten_name: 2023-07-07T20:05:31.4347722Z - function_overloads: 2023-07-07T20:05:31.4347838Z - onnx_args: 2023-07-07T20:05:31.4347954Z - onnx_kwargs: 2023-07-07T20:05:31.4348255Z - diagnostic_context: 2023-07-07T20:05:31.4348454Z - Return value: 2023-07-07T20:05:31.4348737Z [2023-07-07 20:00:26,085] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.4348880Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4349081Z [2023-07-07 20:00:26,085] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4349156Z ### Exception log 2023-07-07T20:05:31.4349218Z ``` 2023-07-07T20:05:31.4349313Z Traceback (most recent call last): 2023-07-07T20:05:31.4349321Z 2023-07-07T20:05:31.4349688Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4349802Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4349808Z 2023-07-07T20:05:31.4350069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4350161Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4350167Z 2023-07-07T20:05:31.4350483Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4350576Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4350582Z 2023-07-07T20:05:31.4350868Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4351007Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4351039Z 2023-07-07T20:05:31.4351319Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4351485Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4351490Z 2023-07-07T20:05:31.4351818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4351883Z result = op.Conv( 2023-07-07T20:05:31.4351888Z 2023-07-07T20:05:31.4352169Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4352239Z return op( 2023-07-07T20:05:31.4352245Z 2023-07-07T20:05:31.4352502Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4352628Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4352636Z 2023-07-07T20:05:31.4352894Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4353025Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4353031Z 2023-07-07T20:05:31.4353289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4353412Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4353417Z 2023-07-07T20:05:31.4353670Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4353845Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4353852Z 2023-07-07T20:05:31.4354105Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4354197Z node.attribute.extend( 2023-07-07T20:05:31.4354205Z 2023-07-07T20:05:31.4354458Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4354545Z make_attribute(key, value) 2023-07-07T20:05:31.4354552Z 2023-07-07T20:05:31.4354889Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4354969Z raise ValueError( 2023-07-07T20:05:31.4354975Z 2023-07-07T20:05:31.4355146Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4355151Z 2023-07-07T20:05:31.4355211Z ``` 2023-07-07T20:05:31.4355321Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4355633Z - diagnostic_context: 2023-07-07T20:05:31.4355847Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4356056Z - symbolic_fn: 2023-07-07T20:05:31.4356177Z - torch_args: 2023-07-07T20:05:31.4356333Z - torch_kwargs: 2023-07-07T20:05:31.4356463Z - Return value: 2023-07-07T20:05:31.4356764Z [2023-07-07 20:00:26,089] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_16]. 2023-07-07T20:05:31.4356924Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4356930Z 2023-07-07T20:05:31.4357127Z [2023-07-07 20:00:26,089] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4357329Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4357334Z 2023-07-07T20:05:31.4357546Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4357816Z - self: 2023-07-07T20:05:31.4358089Z - node: fx.Node(convert_element_type_16[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4358203Z - aten_name: 2023-07-07T20:05:31.4358366Z - function_overloads: 2023-07-07T20:05:31.4358469Z - onnx_args: 2023-07-07T20:05:31.4358583Z - onnx_kwargs: 2023-07-07T20:05:31.4358885Z - diagnostic_context: 2023-07-07T20:05:31.4359068Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4359374Z [2023-07-07 20:00:26,092] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_17]. 2023-07-07T20:05:31.4359535Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4359542Z 2023-07-07T20:05:31.4359739Z [2023-07-07 20:00:26,092] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4359940Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4359948Z 2023-07-07T20:05:31.4360133Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4360389Z - self: 2023-07-07T20:05:31.4360627Z - node: fx.Node(convert_element_type_17[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4360739Z - aten_name: 2023-07-07T20:05:31.4360870Z - function_overloads: 2023-07-07T20:05:31.4360984Z - onnx_args: 2023-07-07T20:05:31.4361099Z - onnx_kwargs: 2023-07-07T20:05:31.4361405Z - diagnostic_context: 2023-07-07T20:05:31.4361577Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4361827Z [2023-07-07 20:00:26,098] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_8]. 2023-07-07T20:05:31.4361962Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4362147Z [2023-07-07 20:00:26,098] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4362223Z ### Exception log 2023-07-07T20:05:31.4362283Z ``` 2023-07-07T20:05:31.4362378Z Traceback (most recent call last): 2023-07-07T20:05:31.4362383Z 2023-07-07T20:05:31.4362713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4362798Z torch.testing.assert_close( 2023-07-07T20:05:31.4362803Z 2023-07-07T20:05:31.4363085Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4363179Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4363185Z 2023-07-07T20:05:31.4363341Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4363349Z 2023-07-07T20:05:31.4363441Z Mismatched elements: 15 / 24 (62.5%) 2023-07-07T20:05:31.4363605Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4363746Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4363752Z 2023-07-07T20:05:31.4363811Z ``` 2023-07-07T20:05:31.4363931Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4364227Z - diagnostic_context: 2023-07-07T20:05:31.4364528Z - node: fx.Node(sqrt_8[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4364752Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4364942Z - torch_args: 2023-07-07T20:05:31.4365122Z - torch_kwargs: 2023-07-07T20:05:31.4365397Z - Return value: 2023-07-07T20:05:31.4365795Z [2023-07-07 20:00:26,100] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_8]. 2023-07-07T20:05:31.4366040Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4366067Z 2023-07-07T20:05:31.4366355Z [2023-07-07 20:00:26,101] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4366698Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4366706Z 2023-07-07T20:05:31.4366977Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4367381Z - self: 2023-07-07T20:05:31.4367662Z - node: fx.Node(tensor_int_8[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4367835Z - aten_name: 2023-07-07T20:05:31.4368040Z - function_overloads: 2023-07-07T20:05:31.4368216Z - onnx_args: 2023-07-07T20:05:31.4368380Z - onnx_kwargs: 2023-07-07T20:05:31.4368841Z - diagnostic_context: 2023-07-07T20:05:31.4369087Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4369509Z [2023-07-07 20:00:26,113] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_64]. 2023-07-07T20:05:31.4369721Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4369728Z 2023-07-07T20:05:31.4370026Z [2023-07-07 20:00:26,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4370331Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4370339Z 2023-07-07T20:05:31.4370618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4371017Z - self: 2023-07-07T20:05:31.4371326Z - node: fx.Node(unsqueeze_64[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4371498Z - aten_name: 2023-07-07T20:05:31.4371701Z - function_overloads: 2023-07-07T20:05:31.4371875Z - onnx_args: 2023-07-07T20:05:31.4372055Z - onnx_kwargs: 2023-07-07T20:05:31.4372515Z - diagnostic_context: 2023-07-07T20:05:31.4372750Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4373157Z [2023-07-07 20:00:26,116] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_65]. 2023-07-07T20:05:31.4373428Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4373436Z 2023-07-07T20:05:31.4373733Z [2023-07-07 20:00:26,116] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4374038Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4374046Z 2023-07-07T20:05:31.4374370Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4374778Z - self: 2023-07-07T20:05:31.4375089Z - node: fx.Node(unsqueeze_65[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4375258Z - aten_name: 2023-07-07T20:05:31.4375444Z - function_overloads: 2023-07-07T20:05:31.4375618Z - onnx_args: 2023-07-07T20:05:31.4375794Z - onnx_kwargs: 2023-07-07T20:05:31.4376254Z - diagnostic_context: 2023-07-07T20:05:31.4376492Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4376952Z [2023-07-07 20:00:26,119] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_66]. 2023-07-07T20:05:31.4377165Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4377173Z 2023-07-07T20:05:31.4377504Z [2023-07-07 20:00:26,119] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4377796Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4377856Z 2023-07-07T20:05:31.4378119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4378524Z - self: 2023-07-07T20:05:31.4378833Z - node: fx.Node(unsqueeze_66[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4379004Z - aten_name: 2023-07-07T20:05:31.4379203Z - function_overloads: 2023-07-07T20:05:31.4379376Z - onnx_args: 2023-07-07T20:05:31.4379556Z - onnx_kwargs: 2023-07-07T20:05:31.4380004Z - diagnostic_context: 2023-07-07T20:05:31.4380239Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4380663Z [2023-07-07 20:00:26,121] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_67]. 2023-07-07T20:05:31.4380875Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4380885Z 2023-07-07T20:05:31.4381137Z [2023-07-07 20:00:26,122] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4381385Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4381393Z 2023-07-07T20:05:31.4381673Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4382046Z - self: 2023-07-07T20:05:31.4382259Z - node: fx.Node(unsqueeze_67[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4382359Z - aten_name: 2023-07-07T20:05:31.4382489Z - function_overloads: 2023-07-07T20:05:31.4382606Z - onnx_args: 2023-07-07T20:05:31.4382724Z - onnx_kwargs: 2023-07-07T20:05:31.4383025Z - diagnostic_context: 2023-07-07T20:05:31.4383185Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4383460Z [2023-07-07 20:00:26,133] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_68]. 2023-07-07T20:05:31.4383588Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4383607Z 2023-07-07T20:05:31.4383791Z [2023-07-07 20:00:26,133] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4383991Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4384000Z 2023-07-07T20:05:31.4384181Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4384501Z - self: 2023-07-07T20:05:31.4384710Z - node: fx.Node(unsqueeze_68[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4384826Z - aten_name: 2023-07-07T20:05:31.4384958Z - function_overloads: 2023-07-07T20:05:31.4385072Z - onnx_args: 2023-07-07T20:05:31.4385175Z - onnx_kwargs: 2023-07-07T20:05:31.4385475Z - diagnostic_context: 2023-07-07T20:05:31.4385630Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4385901Z [2023-07-07 20:00:26,136] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_69]. 2023-07-07T20:05:31.4386073Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4386079Z 2023-07-07T20:05:31.4386276Z [2023-07-07 20:00:26,136] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4386515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4386521Z 2023-07-07T20:05:31.4386702Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4387000Z - self: 2023-07-07T20:05:31.4387190Z - node: fx.Node(unsqueeze_69[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4387303Z - aten_name: 2023-07-07T20:05:31.4387435Z - function_overloads: 2023-07-07T20:05:31.4387549Z - onnx_args: 2023-07-07T20:05:31.4387663Z - onnx_kwargs: 2023-07-07T20:05:31.4387965Z - diagnostic_context: 2023-07-07T20:05:31.4388121Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4388384Z [2023-07-07 20:00:26,143] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_70]. 2023-07-07T20:05:31.4388529Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4388535Z 2023-07-07T20:05:31.4388731Z [2023-07-07 20:00:26,143] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4388937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4388942Z 2023-07-07T20:05:31.4389126Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4389390Z - self: 2023-07-07T20:05:31.4389593Z - node: fx.Node(unsqueeze_70[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4389704Z - aten_name: 2023-07-07T20:05:31.4389836Z - function_overloads: 2023-07-07T20:05:31.4389939Z - onnx_args: 2023-07-07T20:05:31.4390052Z - onnx_kwargs: 2023-07-07T20:05:31.4390360Z - diagnostic_context: 2023-07-07T20:05:31.4390516Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4390792Z [2023-07-07 20:00:26,146] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_71]. 2023-07-07T20:05:31.4390933Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4390938Z 2023-07-07T20:05:31.4391132Z [2023-07-07 20:00:26,146] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4391332Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4391338Z 2023-07-07T20:05:31.4391509Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4391773Z - self: 2023-07-07T20:05:31.4391976Z - node: fx.Node(unsqueeze_71[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4392124Z - aten_name: 2023-07-07T20:05:31.4392258Z - function_overloads: 2023-07-07T20:05:31.4392375Z - onnx_args: 2023-07-07T20:05:31.4392490Z - onnx_kwargs: 2023-07-07T20:05:31.4392781Z - diagnostic_context: 2023-07-07T20:05:31.4392937Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4393182Z [2023-07-07 20:00:26,164] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_1]. 2023-07-07T20:05:31.4393315Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4393321Z 2023-07-07T20:05:31.4393545Z [2023-07-07 20:00:26,164] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4393749Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4393782Z 2023-07-07T20:05:31.4393968Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4394238Z - self: 2023-07-07T20:05:31.4394452Z - node: fx.Node(cat_1[call_function]'aten.cat.default') 2023-07-07T20:05:31.4394553Z - aten_name: 2023-07-07T20:05:31.4394751Z - function_overloads: 2023-07-07T20:05:31.4394871Z - onnx_args: 2023-07-07T20:05:31.4394986Z - onnx_kwargs: 2023-07-07T20:05:31.4395288Z - diagnostic_context: 2023-07-07T20:05:31.4395431Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.4395699Z [2023-07-07 20:00:26,172] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:31.4395841Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4395849Z 2023-07-07T20:05:31.4396036Z [2023-07-07 20:00:26,172] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4396238Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4396246Z 2023-07-07T20:05:31.4396427Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4396692Z - self: 2023-07-07T20:05:31.4396885Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:31.4396998Z - aten_name: 2023-07-07T20:05:31.4397129Z - function_overloads: 2023-07-07T20:05:31.4397243Z - onnx_args: 2023-07-07T20:05:31.4397349Z - onnx_kwargs: 2023-07-07T20:05:31.4397653Z - diagnostic_context: 2023-07-07T20:05:31.4397863Z - Return value: 2023-07-07T20:05:31.4398122Z [2023-07-07 20:00:26,176] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:31.4398260Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4398265Z 2023-07-07T20:05:31.4398462Z [2023-07-07 20:00:26,176] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4398664Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4398670Z 2023-07-07T20:05:31.4398853Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4399118Z - self: 2023-07-07T20:05:31.4399290Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:31.4399403Z - aten_name: 2023-07-07T20:05:31.4399535Z - function_overloads: 2023-07-07T20:05:31.4399651Z - onnx_args: 2023-07-07T20:05:31.4399801Z - onnx_kwargs: 2023-07-07T20:05:31.4400103Z - diagnostic_context: 2023-07-07T20:05:31.4400254Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.4400495Z [2023-07-07 20:00:26,184] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:31.4400629Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4400634Z 2023-07-07T20:05:31.4400830Z [2023-07-07 20:00:26,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4401033Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4401067Z 2023-07-07T20:05:31.4401251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4401516Z - self: 2023-07-07T20:05:31.4401730Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.4401845Z - aten_name: 2023-07-07T20:05:31.4402230Z - function_overloads: 2023-07-07T20:05:31.4402335Z - onnx_args: 2023-07-07T20:05:31.4402452Z - onnx_kwargs: 2023-07-07T20:05:31.4402753Z - diagnostic_context: 2023-07-07T20:05:31.4402900Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.4403170Z [2023-07-07 20:00:26,188] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T20:05:31.4403308Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4403317Z 2023-07-07T20:05:31.4403514Z [2023-07-07 20:00:26,188] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4403719Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4403726Z 2023-07-07T20:05:31.4403897Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4404165Z - self: 2023-07-07T20:05:31.4404367Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T20:05:31.4404632Z - aten_name: 2023-07-07T20:05:31.4404767Z - function_overloads: 2023-07-07T20:05:31.4404883Z - onnx_args: 2023-07-07T20:05:31.4405001Z - onnx_kwargs: 2023-07-07T20:05:31.4405289Z - diagnostic_context: 2023-07-07T20:05:31.4405445Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4405712Z [2023-07-07 20:00:26,190] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_5]. 2023-07-07T20:05:31.4405856Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4405862Z 2023-07-07T20:05:31.4406059Z [2023-07-07 20:00:26,190] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4406263Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4406269Z 2023-07-07T20:05:31.4406450Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4406719Z - self: 2023-07-07T20:05:31.4406918Z - node: fx.Node(getitem_5[call_function]'') 2023-07-07T20:05:31.4407019Z - aten_name: 2023-07-07T20:05:31.4407152Z - function_overloads: 2023-07-07T20:05:31.4407267Z - onnx_args: 2023-07-07T20:05:31.4407384Z - onnx_kwargs: 2023-07-07T20:05:31.4407743Z - diagnostic_context: 2023-07-07T20:05:31.4407897Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4408186Z [2023-07-07 20:00:26,192] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.4408331Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4408337Z 2023-07-07T20:05:31.4408521Z [2023-07-07 20:00:26,192] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4408722Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4408728Z 2023-07-07T20:05:31.4408978Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4409250Z - self: 2023-07-07T20:05:31.4409462Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4409616Z - aten_name: 2023-07-07T20:05:31.4409746Z - function_overloads: 2023-07-07T20:05:31.4409862Z - onnx_args: 2023-07-07T20:05:31.4410007Z - onnx_kwargs: 2023-07-07T20:05:31.4410309Z - diagnostic_context: 2023-07-07T20:05:31.4410519Z - Return value: 2023-07-07T20:05:31.4410799Z [2023-07-07 20:00:26,197] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.4410941Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4411140Z [2023-07-07 20:00:26,197] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4411216Z ### Exception log 2023-07-07T20:05:31.4411277Z ``` 2023-07-07T20:05:31.4411360Z Traceback (most recent call last): 2023-07-07T20:05:31.4411366Z 2023-07-07T20:05:31.4411700Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4411825Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4411831Z 2023-07-07T20:05:31.4412091Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4412185Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4412191Z 2023-07-07T20:05:31.4412505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4412599Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4412604Z 2023-07-07T20:05:31.4412864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4413000Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4413008Z 2023-07-07T20:05:31.4413273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4413410Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4413418Z 2023-07-07T20:05:31.4413743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4413819Z result = op.Conv( 2023-07-07T20:05:31.4413825Z 2023-07-07T20:05:31.4414107Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4414177Z return op( 2023-07-07T20:05:31.4414183Z 2023-07-07T20:05:31.4414441Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4414568Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4414573Z 2023-07-07T20:05:31.4414860Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4414991Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4414999Z 2023-07-07T20:05:31.4415248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4415370Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4415376Z 2023-07-07T20:05:31.4415642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4415820Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4415826Z 2023-07-07T20:05:31.4416112Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4416206Z node.attribute.extend( 2023-07-07T20:05:31.4416211Z 2023-07-07T20:05:31.4416464Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4416583Z make_attribute(key, value) 2023-07-07T20:05:31.4416588Z 2023-07-07T20:05:31.4416879Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4416957Z raise ValueError( 2023-07-07T20:05:31.4416962Z 2023-07-07T20:05:31.4417122Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4417127Z 2023-07-07T20:05:31.4417186Z ``` 2023-07-07T20:05:31.4417307Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4417613Z - diagnostic_context: 2023-07-07T20:05:31.4417828Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4418038Z - symbolic_fn: 2023-07-07T20:05:31.4418153Z - torch_args: 2023-07-07T20:05:31.4418274Z - torch_kwargs: 2023-07-07T20:05:31.4418391Z - Return value: 2023-07-07T20:05:31.4418699Z [2023-07-07 20:00:26,203] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_18]. 2023-07-07T20:05:31.4418860Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4418866Z 2023-07-07T20:05:31.4419062Z [2023-07-07 20:00:26,203] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4419263Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4419269Z 2023-07-07T20:05:31.4419452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4419720Z - self: 2023-07-07T20:05:31.4419959Z - node: fx.Node(convert_element_type_18[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4420077Z - aten_name: 2023-07-07T20:05:31.4420196Z - function_overloads: 2023-07-07T20:05:31.4420313Z - onnx_args: 2023-07-07T20:05:31.4420430Z - onnx_kwargs: 2023-07-07T20:05:31.4420735Z - diagnostic_context: 2023-07-07T20:05:31.4420918Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4421225Z [2023-07-07 20:00:26,206] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_19]. 2023-07-07T20:05:31.4421384Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4421390Z 2023-07-07T20:05:31.4421574Z [2023-07-07 20:00:26,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4421776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4421784Z 2023-07-07T20:05:31.4421997Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4422265Z - self: 2023-07-07T20:05:31.4422504Z - node: fx.Node(convert_element_type_19[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4422615Z - aten_name: 2023-07-07T20:05:31.4422746Z - function_overloads: 2023-07-07T20:05:31.4422861Z - onnx_args: 2023-07-07T20:05:31.4422975Z - onnx_kwargs: 2023-07-07T20:05:31.4423263Z - diagnostic_context: 2023-07-07T20:05:31.4423486Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4423738Z [2023-07-07 20:00:26,214] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_9]. 2023-07-07T20:05:31.4423901Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4424091Z [2023-07-07 20:00:26,214] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4424193Z ### Exception log 2023-07-07T20:05:31.4424254Z ``` 2023-07-07T20:05:31.4424336Z Traceback (most recent call last): 2023-07-07T20:05:31.4424342Z 2023-07-07T20:05:31.4424672Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4424767Z torch.testing.assert_close( 2023-07-07T20:05:31.4424772Z 2023-07-07T20:05:31.4425055Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4425149Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4425156Z 2023-07-07T20:05:31.4425312Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4425318Z 2023-07-07T20:05:31.4425410Z Mismatched elements: 10 / 24 (41.7%) 2023-07-07T20:05:31.4425551Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4425687Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4425694Z 2023-07-07T20:05:31.4425740Z ``` 2023-07-07T20:05:31.4425860Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4426168Z - diagnostic_context: 2023-07-07T20:05:31.4426346Z - node: fx.Node(sqrt_9[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4426489Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4426605Z - torch_args: 2023-07-07T20:05:31.4426727Z - torch_kwargs: 2023-07-07T20:05:31.4426842Z - Return value: 2023-07-07T20:05:31.4427100Z [2023-07-07 20:00:26,218] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_9]. 2023-07-07T20:05:31.4427240Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4427247Z 2023-07-07T20:05:31.4427445Z [2023-07-07 20:00:26,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4427646Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4427653Z 2023-07-07T20:05:31.4427835Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4428104Z - self: 2023-07-07T20:05:31.4428290Z - node: fx.Node(tensor_int_9[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4428403Z - aten_name: 2023-07-07T20:05:31.4428521Z - function_overloads: 2023-07-07T20:05:31.4428635Z - onnx_args: 2023-07-07T20:05:31.4428753Z - onnx_kwargs: 2023-07-07T20:05:31.4429056Z - diagnostic_context: 2023-07-07T20:05:31.4429216Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4429527Z [2023-07-07 20:00:26,230] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_72]. 2023-07-07T20:05:31.4429671Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4429677Z 2023-07-07T20:05:31.4429874Z [2023-07-07 20:00:26,231] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4430063Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4430081Z 2023-07-07T20:05:31.4430252Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4430551Z - self: 2023-07-07T20:05:31.4430757Z - node: fx.Node(unsqueeze_72[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4430868Z - aten_name: 2023-07-07T20:05:31.4431029Z - function_overloads: 2023-07-07T20:05:31.4431147Z - onnx_args: 2023-07-07T20:05:31.4431263Z - onnx_kwargs: 2023-07-07T20:05:31.4431587Z - diagnostic_context: 2023-07-07T20:05:31.4431744Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4432017Z [2023-07-07 20:00:26,233] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_73]. 2023-07-07T20:05:31.4432156Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4432163Z 2023-07-07T20:05:31.4432358Z [2023-07-07 20:00:26,233] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4432559Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4432564Z 2023-07-07T20:05:31.4432746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4433017Z - self: 2023-07-07T20:05:31.4433222Z - node: fx.Node(unsqueeze_73[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4433326Z - aten_name: 2023-07-07T20:05:31.4433454Z - function_overloads: 2023-07-07T20:05:31.4433568Z - onnx_args: 2023-07-07T20:05:31.4433684Z - onnx_kwargs: 2023-07-07T20:05:31.4433986Z - diagnostic_context: 2023-07-07T20:05:31.4434141Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4434418Z [2023-07-07 20:00:26,236] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_74]. 2023-07-07T20:05:31.4434549Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4434568Z 2023-07-07T20:05:31.4434841Z [2023-07-07 20:00:26,236] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4435049Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4435057Z 2023-07-07T20:05:31.4435239Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4435503Z - self: 2023-07-07T20:05:31.4435706Z - node: fx.Node(unsqueeze_74[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4435820Z - aten_name: 2023-07-07T20:05:31.4435952Z - function_overloads: 2023-07-07T20:05:31.4436068Z - onnx_args: 2023-07-07T20:05:31.4436171Z - onnx_kwargs: 2023-07-07T20:05:31.4436473Z - diagnostic_context: 2023-07-07T20:05:31.4436629Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4436945Z [2023-07-07 20:00:26,239] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_75]. 2023-07-07T20:05:31.4437090Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4437097Z 2023-07-07T20:05:31.4437292Z [2023-07-07 20:00:26,239] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4437491Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4437497Z 2023-07-07T20:05:31.4437678Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4437934Z - self: 2023-07-07T20:05:31.4438138Z - node: fx.Node(unsqueeze_75[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4438281Z - aten_name: 2023-07-07T20:05:31.4438413Z - function_overloads: 2023-07-07T20:05:31.4438527Z - onnx_args: 2023-07-07T20:05:31.4438670Z - onnx_kwargs: 2023-07-07T20:05:31.4438975Z - diagnostic_context: 2023-07-07T20:05:31.4439163Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4439426Z [2023-07-07 20:00:26,249] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_76]. 2023-07-07T20:05:31.4439565Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4439570Z 2023-07-07T20:05:31.4439765Z [2023-07-07 20:00:26,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4439968Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4439975Z 2023-07-07T20:05:31.4440159Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4440424Z - self: 2023-07-07T20:05:31.4440632Z - node: fx.Node(unsqueeze_76[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4440744Z - aten_name: 2023-07-07T20:05:31.4440864Z - function_overloads: 2023-07-07T20:05:31.4440978Z - onnx_args: 2023-07-07T20:05:31.4441092Z - onnx_kwargs: 2023-07-07T20:05:31.4441391Z - diagnostic_context: 2023-07-07T20:05:31.4441544Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4441817Z [2023-07-07 20:00:26,252] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_77]. 2023-07-07T20:05:31.4441957Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4441963Z 2023-07-07T20:05:31.4442159Z [2023-07-07 20:00:26,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4442348Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4442368Z 2023-07-07T20:05:31.4442540Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4442807Z - self: 2023-07-07T20:05:31.4443008Z - node: fx.Node(unsqueeze_77[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4443120Z - aten_name: 2023-07-07T20:05:31.4443251Z - function_overloads: 2023-07-07T20:05:31.4443365Z - onnx_args: 2023-07-07T20:05:31.4443480Z - onnx_kwargs: 2023-07-07T20:05:31.4443772Z - diagnostic_context: 2023-07-07T20:05:31.4443928Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4444203Z [2023-07-07 20:00:26,259] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_78]. 2023-07-07T20:05:31.4444345Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4444489Z 2023-07-07T20:05:31.4444722Z [2023-07-07 20:00:26,259] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4444927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4444932Z 2023-07-07T20:05:31.4445115Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4445381Z - self: 2023-07-07T20:05:31.4445587Z - node: fx.Node(unsqueeze_78[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4445686Z - aten_name: 2023-07-07T20:05:31.4445819Z - function_overloads: 2023-07-07T20:05:31.4445982Z - onnx_args: 2023-07-07T20:05:31.4446102Z - onnx_kwargs: 2023-07-07T20:05:31.4446405Z - diagnostic_context: 2023-07-07T20:05:31.4446601Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4446879Z [2023-07-07 20:00:26,262] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_79]. 2023-07-07T20:05:31.4447054Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4447073Z 2023-07-07T20:05:31.4447257Z [2023-07-07 20:00:26,262] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4447457Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4447463Z 2023-07-07T20:05:31.4447646Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4447915Z - self: 2023-07-07T20:05:31.4448123Z - node: fx.Node(unsqueeze_79[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4448239Z - aten_name: 2023-07-07T20:05:31.4448373Z - function_overloads: 2023-07-07T20:05:31.4448488Z - onnx_args: 2023-07-07T20:05:31.4448593Z - onnx_kwargs: 2023-07-07T20:05:31.4448892Z - diagnostic_context: 2023-07-07T20:05:31.4449047Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4449331Z [2023-07-07 20:00:26,280] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.4449476Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4449481Z 2023-07-07T20:05:31.4449677Z [2023-07-07 20:00:26,280] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4449880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4449885Z 2023-07-07T20:05:31.4450071Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4450338Z - self: 2023-07-07T20:05:31.4450542Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4450654Z - aten_name: 2023-07-07T20:05:31.4450787Z - function_overloads: 2023-07-07T20:05:31.4450904Z - onnx_args: 2023-07-07T20:05:31.4451019Z - onnx_kwargs: 2023-07-07T20:05:31.4451322Z - diagnostic_context: 2023-07-07T20:05:31.4451532Z - Return value: 2023-07-07T20:05:31.4451807Z [2023-07-07 20:00:26,286] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.4451953Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4452194Z [2023-07-07 20:00:26,286] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4452272Z ### Exception log 2023-07-07T20:05:31.4452333Z ``` 2023-07-07T20:05:31.4452431Z Traceback (most recent call last): 2023-07-07T20:05:31.4452437Z 2023-07-07T20:05:31.4452767Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4452891Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4452897Z 2023-07-07T20:05:31.4453144Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4453240Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4453245Z 2023-07-07T20:05:31.4453594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4453691Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4453724Z 2023-07-07T20:05:31.4453992Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4454130Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4454165Z 2023-07-07T20:05:31.4454441Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4454576Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4454581Z 2023-07-07T20:05:31.4454908Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4454985Z result = op.Conv( 2023-07-07T20:05:31.4454991Z 2023-07-07T20:05:31.4455262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4455334Z return op( 2023-07-07T20:05:31.4455342Z 2023-07-07T20:05:31.4455602Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4455729Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4455737Z 2023-07-07T20:05:31.4455995Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4456124Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4456130Z 2023-07-07T20:05:31.4456391Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4456515Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4456520Z 2023-07-07T20:05:31.4456790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4456967Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4456975Z 2023-07-07T20:05:31.4457216Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4457312Z node.attribute.extend( 2023-07-07T20:05:31.4457319Z 2023-07-07T20:05:31.4457571Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4457658Z make_attribute(key, value) 2023-07-07T20:05:31.4457664Z 2023-07-07T20:05:31.4457924Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4458002Z raise ValueError( 2023-07-07T20:05:31.4458007Z 2023-07-07T20:05:31.4458180Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4458186Z 2023-07-07T20:05:31.4458248Z ``` 2023-07-07T20:05:31.4458371Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4458662Z - diagnostic_context: 2023-07-07T20:05:31.4458912Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4459123Z - symbolic_fn: 2023-07-07T20:05:31.4459243Z - torch_args: 2023-07-07T20:05:31.4459362Z - torch_kwargs: 2023-07-07T20:05:31.4459491Z - Return value: 2023-07-07T20:05:31.4459807Z [2023-07-07 20:00:26,291] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_20]. 2023-07-07T20:05:31.4459966Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4459971Z 2023-07-07T20:05:31.4460154Z [2023-07-07 20:00:26,291] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4460387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4460393Z 2023-07-07T20:05:31.4460607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4460875Z - self: 2023-07-07T20:05:31.4461145Z - node: fx.Node(convert_element_type_20[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4461259Z - aten_name: 2023-07-07T20:05:31.4461390Z - function_overloads: 2023-07-07T20:05:31.4461505Z - onnx_args: 2023-07-07T20:05:31.4461607Z - onnx_kwargs: 2023-07-07T20:05:31.4461910Z - diagnostic_context: 2023-07-07T20:05:31.4462091Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4462403Z [2023-07-07 20:00:26,294] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_21]. 2023-07-07T20:05:31.4462563Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4462571Z 2023-07-07T20:05:31.4462770Z [2023-07-07 20:00:26,294] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4462974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4462982Z 2023-07-07T20:05:31.4463166Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4463432Z - self: 2023-07-07T20:05:31.4463661Z - node: fx.Node(convert_element_type_21[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4463774Z - aten_name: 2023-07-07T20:05:31.4463904Z - function_overloads: 2023-07-07T20:05:31.4464020Z - onnx_args: 2023-07-07T20:05:31.4464137Z - onnx_kwargs: 2023-07-07T20:05:31.4464440Z - diagnostic_context: 2023-07-07T20:05:31.4464626Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4464865Z [2023-07-07 20:00:26,302] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_10]. 2023-07-07T20:05:31.4464999Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4465182Z [2023-07-07 20:00:26,302] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4465257Z ### Exception log 2023-07-07T20:05:31.4465317Z ``` 2023-07-07T20:05:31.4465412Z Traceback (most recent call last): 2023-07-07T20:05:31.4465417Z 2023-07-07T20:05:31.4465746Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4465844Z torch.testing.assert_close( 2023-07-07T20:05:31.4465849Z 2023-07-07T20:05:31.4466131Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4466214Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4466287Z 2023-07-07T20:05:31.4466445Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4466453Z 2023-07-07T20:05:31.4466546Z Mismatched elements: 12 / 24 (50.0%) 2023-07-07T20:05:31.4466680Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.4466814Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4466819Z 2023-07-07T20:05:31.4466878Z ``` 2023-07-07T20:05:31.4466998Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4467307Z - diagnostic_context: 2023-07-07T20:05:31.4467475Z - node: fx.Node(sqrt_10[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4467646Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4467765Z - torch_args: 2023-07-07T20:05:31.4467883Z - torch_kwargs: 2023-07-07T20:05:31.4468039Z - Return value: 2023-07-07T20:05:31.4468299Z [2023-07-07 20:00:26,305] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_10]. 2023-07-07T20:05:31.4468469Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4468475Z 2023-07-07T20:05:31.4468671Z [2023-07-07 20:00:26,305] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4468862Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4468867Z 2023-07-07T20:05:31.4469048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4469316Z - self: 2023-07-07T20:05:31.4469503Z - node: fx.Node(tensor_int_10[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4469616Z - aten_name: 2023-07-07T20:05:31.4469749Z - function_overloads: 2023-07-07T20:05:31.4469865Z - onnx_args: 2023-07-07T20:05:31.4469981Z - onnx_kwargs: 2023-07-07T20:05:31.4470272Z - diagnostic_context: 2023-07-07T20:05:31.4470430Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4470703Z [2023-07-07 20:00:26,319] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_80]. 2023-07-07T20:05:31.4470842Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4470848Z 2023-07-07T20:05:31.4471043Z [2023-07-07 20:00:26,319] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4471248Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4471254Z 2023-07-07T20:05:31.4471436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4471706Z - self: 2023-07-07T20:05:31.4471897Z - node: fx.Node(unsqueeze_80[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4472012Z - aten_name: 2023-07-07T20:05:31.4472142Z - function_overloads: 2023-07-07T20:05:31.4472256Z - onnx_args: 2023-07-07T20:05:31.4472371Z - onnx_kwargs: 2023-07-07T20:05:31.4472671Z - diagnostic_context: 2023-07-07T20:05:31.4472829Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4473105Z [2023-07-07 20:00:26,321] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_81]. 2023-07-07T20:05:31.4473237Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4473243Z 2023-07-07T20:05:31.4473438Z [2023-07-07 20:00:26,321] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4473675Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4473681Z 2023-07-07T20:05:31.4473866Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4474131Z - self: 2023-07-07T20:05:31.4474335Z - node: fx.Node(unsqueeze_81[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4474447Z - aten_name: 2023-07-07T20:05:31.4474577Z - function_overloads: 2023-07-07T20:05:31.4474762Z - onnx_args: 2023-07-07T20:05:31.4474881Z - onnx_kwargs: 2023-07-07T20:05:31.4475252Z - diagnostic_context: 2023-07-07T20:05:31.4475409Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4475685Z [2023-07-07 20:00:26,324] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_82]. 2023-07-07T20:05:31.4475863Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4475869Z 2023-07-07T20:05:31.4476095Z [2023-07-07 20:00:26,324] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4476297Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4476303Z 2023-07-07T20:05:31.4476487Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4476740Z - self: 2023-07-07T20:05:31.4476944Z - node: fx.Node(unsqueeze_82[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4477059Z - aten_name: 2023-07-07T20:05:31.4477191Z - function_overloads: 2023-07-07T20:05:31.4477307Z - onnx_args: 2023-07-07T20:05:31.4477425Z - onnx_kwargs: 2023-07-07T20:05:31.4477726Z - diagnostic_context: 2023-07-07T20:05:31.4477870Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4478146Z [2023-07-07 20:00:26,327] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_83]. 2023-07-07T20:05:31.4478287Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4478292Z 2023-07-07T20:05:31.4478485Z [2023-07-07 20:00:26,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4478686Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4478691Z 2023-07-07T20:05:31.4478874Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4479139Z - self: 2023-07-07T20:05:31.4479347Z - node: fx.Node(unsqueeze_83[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4479459Z - aten_name: 2023-07-07T20:05:31.4479578Z - function_overloads: 2023-07-07T20:05:31.4479694Z - onnx_args: 2023-07-07T20:05:31.4479810Z - onnx_kwargs: 2023-07-07T20:05:31.4480111Z - diagnostic_context: 2023-07-07T20:05:31.4480265Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4480540Z [2023-07-07 20:00:26,338] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_84]. 2023-07-07T20:05:31.4480680Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4480686Z 2023-07-07T20:05:31.4480882Z [2023-07-07 20:00:26,338] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4481070Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4481091Z 2023-07-07T20:05:31.4481300Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4481569Z - self: 2023-07-07T20:05:31.4481770Z - node: fx.Node(unsqueeze_84[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4481883Z - aten_name: 2023-07-07T20:05:31.4482014Z - function_overloads: 2023-07-07T20:05:31.4482127Z - onnx_args: 2023-07-07T20:05:31.4482242Z - onnx_kwargs: 2023-07-07T20:05:31.4482530Z - diagnostic_context: 2023-07-07T20:05:31.4482684Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4482988Z [2023-07-07 20:00:26,341] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_85]. 2023-07-07T20:05:31.4483130Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4483165Z 2023-07-07T20:05:31.4483363Z [2023-07-07 20:00:26,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4483593Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4483598Z 2023-07-07T20:05:31.4483783Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4484047Z - self: 2023-07-07T20:05:31.4484252Z - node: fx.Node(unsqueeze_85[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4484352Z - aten_name: 2023-07-07T20:05:31.4484649Z - function_overloads: 2023-07-07T20:05:31.4484772Z - onnx_args: 2023-07-07T20:05:31.4484889Z - onnx_kwargs: 2023-07-07T20:05:31.4485193Z - diagnostic_context: 2023-07-07T20:05:31.4485351Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4485628Z [2023-07-07 20:00:26,348] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_86]. 2023-07-07T20:05:31.4485760Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4485779Z 2023-07-07T20:05:31.4485963Z [2023-07-07 20:00:26,348] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4486166Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4486172Z 2023-07-07T20:05:31.4486356Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4486624Z - self: 2023-07-07T20:05:31.4486827Z - node: fx.Node(unsqueeze_86[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4486942Z - aten_name: 2023-07-07T20:05:31.4487076Z - function_overloads: 2023-07-07T20:05:31.4487190Z - onnx_args: 2023-07-07T20:05:31.4487294Z - onnx_kwargs: 2023-07-07T20:05:31.4487596Z - diagnostic_context: 2023-07-07T20:05:31.4487752Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4488024Z [2023-07-07 20:00:26,351] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_87]. 2023-07-07T20:05:31.4488163Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4488169Z 2023-07-07T20:05:31.4488364Z [2023-07-07 20:00:26,351] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4488566Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4488572Z 2023-07-07T20:05:31.4488751Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4489074Z - self: 2023-07-07T20:05:31.4489283Z - node: fx.Node(unsqueeze_87[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4489395Z - aten_name: 2023-07-07T20:05:31.4489524Z - function_overloads: 2023-07-07T20:05:31.4489639Z - onnx_args: 2023-07-07T20:05:31.4489754Z - onnx_kwargs: 2023-07-07T20:05:31.4490059Z - diagnostic_context: 2023-07-07T20:05:31.4490214Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4490525Z [2023-07-07 20:00:26,359] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.4490670Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4490676Z 2023-07-07T20:05:31.4490871Z [2023-07-07 20:00:26,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4491108Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4491150Z 2023-07-07T20:05:31.4491334Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4491601Z - self: 2023-07-07T20:05:31.4491813Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4491925Z - aten_name: 2023-07-07T20:05:31.4492043Z - function_overloads: 2023-07-07T20:05:31.4492157Z - onnx_args: 2023-07-07T20:05:31.4492273Z - onnx_kwargs: 2023-07-07T20:05:31.4492576Z - diagnostic_context: 2023-07-07T20:05:31.4492787Z - Return value: 2023-07-07T20:05:31.4493076Z [2023-07-07 20:00:26,365] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.4493221Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4493424Z [2023-07-07 20:00:26,365] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4493486Z ### Exception log 2023-07-07T20:05:31.4493546Z ``` 2023-07-07T20:05:31.4493641Z Traceback (most recent call last): 2023-07-07T20:05:31.4493647Z 2023-07-07T20:05:31.4493978Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4494100Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4494106Z 2023-07-07T20:05:31.4494368Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4494461Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4494469Z 2023-07-07T20:05:31.4494787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4494882Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4494888Z 2023-07-07T20:05:31.4495135Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4495271Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4495276Z 2023-07-07T20:05:31.4495550Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4495684Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4495690Z 2023-07-07T20:05:31.4496019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4496098Z result = op.Conv( 2023-07-07T20:05:31.4496103Z 2023-07-07T20:05:31.4496424Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4496498Z return op( 2023-07-07T20:05:31.4496503Z 2023-07-07T20:05:31.4496760Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4496875Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4496892Z 2023-07-07T20:05:31.4497139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4497267Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4497272Z 2023-07-07T20:05:31.4497566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4497691Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4497724Z 2023-07-07T20:05:31.4497993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4498167Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4498211Z 2023-07-07T20:05:31.4498464Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4498556Z node.attribute.extend( 2023-07-07T20:05:31.4498561Z 2023-07-07T20:05:31.4498814Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4498889Z make_attribute(key, value) 2023-07-07T20:05:31.4498907Z 2023-07-07T20:05:31.4499156Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4499234Z raise ValueError( 2023-07-07T20:05:31.4499239Z 2023-07-07T20:05:31.4499411Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4499419Z 2023-07-07T20:05:31.4499481Z ``` 2023-07-07T20:05:31.4499603Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4499912Z - diagnostic_context: 2023-07-07T20:05:31.4500128Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4500339Z - symbolic_fn: 2023-07-07T20:05:31.4500445Z - torch_args: 2023-07-07T20:05:31.4500565Z - torch_kwargs: 2023-07-07T20:05:31.4500693Z - Return value: 2023-07-07T20:05:31.4501009Z [2023-07-07 20:00:26,370] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_22]. 2023-07-07T20:05:31.4501168Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4501174Z 2023-07-07T20:05:31.4501372Z [2023-07-07 20:00:26,370] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4501579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4501587Z 2023-07-07T20:05:31.4501775Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4502030Z - self: 2023-07-07T20:05:31.4502272Z - node: fx.Node(convert_element_type_22[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4502386Z - aten_name: 2023-07-07T20:05:31.4502519Z - function_overloads: 2023-07-07T20:05:31.4502637Z - onnx_args: 2023-07-07T20:05:31.4502753Z - onnx_kwargs: 2023-07-07T20:05:31.4503060Z - diagnostic_context: 2023-07-07T20:05:31.4503242Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4503571Z [2023-07-07 20:00:26,373] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_23]. 2023-07-07T20:05:31.4503732Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4503738Z 2023-07-07T20:05:31.4503936Z [2023-07-07 20:00:26,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4504137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4504143Z 2023-07-07T20:05:31.4504327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4504622Z - self: 2023-07-07T20:05:31.4504864Z - node: fx.Node(convert_element_type_23[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4504978Z - aten_name: 2023-07-07T20:05:31.4505140Z - function_overloads: 2023-07-07T20:05:31.4505246Z - onnx_args: 2023-07-07T20:05:31.4505361Z - onnx_kwargs: 2023-07-07T20:05:31.4505711Z - diagnostic_context: 2023-07-07T20:05:31.4505983Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4506243Z [2023-07-07 20:00:26,381] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_11]. 2023-07-07T20:05:31.4506375Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4506561Z [2023-07-07 20:00:26,381] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4506623Z ### Exception log 2023-07-07T20:05:31.4506684Z ``` 2023-07-07T20:05:31.4506781Z Traceback (most recent call last): 2023-07-07T20:05:31.4506788Z 2023-07-07T20:05:31.4507122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4507223Z torch.testing.assert_close( 2023-07-07T20:05:31.4507229Z 2023-07-07T20:05:31.4507512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4507608Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4507613Z 2023-07-07T20:05:31.4507772Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4507778Z 2023-07-07T20:05:31.4507871Z Mismatched elements: 10 / 24 (41.7%) 2023-07-07T20:05:31.4507994Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.4508129Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4508135Z 2023-07-07T20:05:31.4508194Z ``` 2023-07-07T20:05:31.4508320Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4508627Z - diagnostic_context: 2023-07-07T20:05:31.4508811Z - node: fx.Node(sqrt_11[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4508957Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4509076Z - torch_args: 2023-07-07T20:05:31.4509185Z - torch_kwargs: 2023-07-07T20:05:31.4509312Z - Return value: 2023-07-07T20:05:31.4509570Z [2023-07-07 20:00:26,384] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_11]. 2023-07-07T20:05:31.4509711Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4509716Z 2023-07-07T20:05:31.4509912Z [2023-07-07 20:00:26,384] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4510117Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4510123Z 2023-07-07T20:05:31.4510306Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4510612Z - self: 2023-07-07T20:05:31.4510787Z - node: fx.Node(tensor_int_11[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4510904Z - aten_name: 2023-07-07T20:05:31.4511037Z - function_overloads: 2023-07-07T20:05:31.4511151Z - onnx_args: 2023-07-07T20:05:31.4511267Z - onnx_kwargs: 2023-07-07T20:05:31.4511571Z - diagnostic_context: 2023-07-07T20:05:31.4511729Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4511991Z [2023-07-07 20:00:26,396] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_88]. 2023-07-07T20:05:31.4512166Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4512172Z 2023-07-07T20:05:31.4512369Z [2023-07-07 20:00:26,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4512609Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4512615Z 2023-07-07T20:05:31.4512798Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4513094Z - self: 2023-07-07T20:05:31.4513297Z - node: fx.Node(unsqueeze_88[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4513411Z - aten_name: 2023-07-07T20:05:31.4513544Z - function_overloads: 2023-07-07T20:05:31.4513647Z - onnx_args: 2023-07-07T20:05:31.4513764Z - onnx_kwargs: 2023-07-07T20:05:31.4514067Z - diagnostic_context: 2023-07-07T20:05:31.4514223Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4514497Z [2023-07-07 20:00:26,399] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_89]. 2023-07-07T20:05:31.4514727Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4514733Z 2023-07-07T20:05:31.4514936Z [2023-07-07 20:00:26,399] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4515140Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4515146Z 2023-07-07T20:05:31.4515328Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4515585Z - self: 2023-07-07T20:05:31.4515790Z - node: fx.Node(unsqueeze_89[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4515903Z - aten_name: 2023-07-07T20:05:31.4516036Z - function_overloads: 2023-07-07T20:05:31.4516152Z - onnx_args: 2023-07-07T20:05:31.4516269Z - onnx_kwargs: 2023-07-07T20:05:31.4516576Z - diagnostic_context: 2023-07-07T20:05:31.4516720Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4516998Z [2023-07-07 20:00:26,402] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_90]. 2023-07-07T20:05:31.4517139Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4517145Z 2023-07-07T20:05:31.4517340Z [2023-07-07 20:00:26,402] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4517540Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4517546Z 2023-07-07T20:05:31.4517730Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4517995Z - self: 2023-07-07T20:05:31.4518204Z - node: fx.Node(unsqueeze_90[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4518352Z - aten_name: 2023-07-07T20:05:31.4518472Z - function_overloads: 2023-07-07T20:05:31.4518591Z - onnx_args: 2023-07-07T20:05:31.4518706Z - onnx_kwargs: 2023-07-07T20:05:31.4519009Z - diagnostic_context: 2023-07-07T20:05:31.4519165Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4519441Z [2023-07-07 20:00:26,405] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_91]. 2023-07-07T20:05:31.4519583Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4519588Z 2023-07-07T20:05:31.4519813Z [2023-07-07 20:00:26,405] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4520005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4520038Z 2023-07-07T20:05:31.4520223Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4520489Z - self: 2023-07-07T20:05:31.4520754Z - node: fx.Node(unsqueeze_91[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4520868Z - aten_name: 2023-07-07T20:05:31.4521001Z - function_overloads: 2023-07-07T20:05:31.4521116Z - onnx_args: 2023-07-07T20:05:31.4521234Z - onnx_kwargs: 2023-07-07T20:05:31.4521524Z - diagnostic_context: 2023-07-07T20:05:31.4521681Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4521957Z [2023-07-07 20:00:26,416] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_92]. 2023-07-07T20:05:31.4522098Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4522106Z 2023-07-07T20:05:31.4522303Z [2023-07-07 20:00:26,416] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4522505Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4522512Z 2023-07-07T20:05:31.4522695Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4522959Z - self: 2023-07-07T20:05:31.4523151Z - node: fx.Node(unsqueeze_92[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4523265Z - aten_name: 2023-07-07T20:05:31.4523394Z - function_overloads: 2023-07-07T20:05:31.4523512Z - onnx_args: 2023-07-07T20:05:31.4523628Z - onnx_kwargs: 2023-07-07T20:05:31.4523929Z - diagnostic_context: 2023-07-07T20:05:31.4524086Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4524365Z [2023-07-07 20:00:26,419] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_93]. 2023-07-07T20:05:31.4524648Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4524654Z 2023-07-07T20:05:31.4524860Z [2023-07-07 20:00:26,419] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4525062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4525067Z 2023-07-07T20:05:31.4525251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4525517Z - self: 2023-07-07T20:05:31.4525722Z - node: fx.Node(unsqueeze_93[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4525836Z - aten_name: 2023-07-07T20:05:31.4525971Z - function_overloads: 2023-07-07T20:05:31.4526136Z - onnx_args: 2023-07-07T20:05:31.4526257Z - onnx_kwargs: 2023-07-07T20:05:31.4526561Z - diagnostic_context: 2023-07-07T20:05:31.4526716Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4526990Z [2023-07-07 20:00:26,426] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_94]. 2023-07-07T20:05:31.4527131Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4527137Z 2023-07-07T20:05:31.4527332Z [2023-07-07 20:00:26,426] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4527581Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4527588Z 2023-07-07T20:05:31.4527773Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4528065Z - self: 2023-07-07T20:05:31.4528268Z - node: fx.Node(unsqueeze_94[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4528419Z - aten_name: 2023-07-07T20:05:31.4528551Z - function_overloads: 2023-07-07T20:05:31.4528666Z - onnx_args: 2023-07-07T20:05:31.4528782Z - onnx_kwargs: 2023-07-07T20:05:31.4529085Z - diagnostic_context: 2023-07-07T20:05:31.4529229Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4529506Z [2023-07-07 20:00:26,428] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_95]. 2023-07-07T20:05:31.4529648Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4529653Z 2023-07-07T20:05:31.4529848Z [2023-07-07 20:00:26,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4530055Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4530063Z 2023-07-07T20:05:31.4530245Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4530509Z - self: 2023-07-07T20:05:31.4530712Z - node: fx.Node(unsqueeze_95[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4530824Z - aten_name: 2023-07-07T20:05:31.4530944Z - function_overloads: 2023-07-07T20:05:31.4531058Z - onnx_args: 2023-07-07T20:05:31.4531173Z - onnx_kwargs: 2023-07-07T20:05:31.4531475Z - diagnostic_context: 2023-07-07T20:05:31.4531632Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4531878Z [2023-07-07 20:00:26,445] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_2]. 2023-07-07T20:05:31.4532013Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4532020Z 2023-07-07T20:05:31.4532216Z [2023-07-07 20:00:26,445] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4532403Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4532408Z 2023-07-07T20:05:31.4532589Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4532853Z - self: 2023-07-07T20:05:31.4533027Z - node: fx.Node(cat_2[call_function]'aten.cat.default') 2023-07-07T20:05:31.4533142Z - aten_name: 2023-07-07T20:05:31.4533272Z - function_overloads: 2023-07-07T20:05:31.4533386Z - onnx_args: 2023-07-07T20:05:31.4533504Z - onnx_kwargs: 2023-07-07T20:05:31.4533832Z - diagnostic_context: 2023-07-07T20:05:31.4533978Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.4534243Z [2023-07-07 20:00:26,454] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_2]. 2023-07-07T20:05:31.4534386Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4534392Z 2023-07-07T20:05:31.4534584Z [2023-07-07 20:00:26,454] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4534782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4534788Z 2023-07-07T20:05:31.4535001Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4535269Z - self: 2023-07-07T20:05:31.4535495Z - node: fx.Node(transpose_2[call_function]'aten.transpose.int') 2023-07-07T20:05:31.4535598Z - aten_name: 2023-07-07T20:05:31.4535729Z - function_overloads: 2023-07-07T20:05:31.4535873Z - onnx_args: 2023-07-07T20:05:31.4535988Z - onnx_kwargs: 2023-07-07T20:05:31.4536290Z - diagnostic_context: 2023-07-07T20:05:31.4536500Z - Return value: 2023-07-07T20:05:31.4536754Z [2023-07-07 20:00:26,457] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_2]. 2023-07-07T20:05:31.4536876Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4536882Z 2023-07-07T20:05:31.4537081Z [2023-07-07 20:00:26,457] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4537283Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4537291Z 2023-07-07T20:05:31.4537476Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4537740Z - self: 2023-07-07T20:05:31.4537925Z - node: fx.Node(clone_2[call_function]'aten.clone.default') 2023-07-07T20:05:31.4538038Z - aten_name: 2023-07-07T20:05:31.4538170Z - function_overloads: 2023-07-07T20:05:31.4538273Z - onnx_args: 2023-07-07T20:05:31.4538388Z - onnx_kwargs: 2023-07-07T20:05:31.4538689Z - diagnostic_context: 2023-07-07T20:05:31.4538838Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.4539095Z [2023-07-07 20:00:26,463] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_2]. 2023-07-07T20:05:31.4539229Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4539237Z 2023-07-07T20:05:31.4539434Z [2023-07-07 20:00:26,463] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4539635Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4539643Z 2023-07-07T20:05:31.4539826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4540079Z - self: 2023-07-07T20:05:31.4540262Z - node: fx.Node(split_2[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.4540374Z - aten_name: 2023-07-07T20:05:31.4540506Z - function_overloads: 2023-07-07T20:05:31.4540620Z - onnx_args: 2023-07-07T20:05:31.4540737Z - onnx_kwargs: 2023-07-07T20:05:31.4541039Z - diagnostic_context: 2023-07-07T20:05:31.4541176Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.4541491Z [2023-07-07 20:00:26,466] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_6]. 2023-07-07T20:05:31.4541632Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4541638Z 2023-07-07T20:05:31.4541832Z [2023-07-07 20:00:26,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4542033Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4542039Z 2023-07-07T20:05:31.4542221Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4542486Z - self: 2023-07-07T20:05:31.4542715Z - node: fx.Node(getitem_6[call_function]'') 2023-07-07T20:05:31.4542830Z - aten_name: 2023-07-07T20:05:31.4542978Z - function_overloads: 2023-07-07T20:05:31.4543096Z - onnx_args: 2023-07-07T20:05:31.4543212Z - onnx_kwargs: 2023-07-07T20:05:31.4543515Z - diagnostic_context: 2023-07-07T20:05:31.4543694Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4543965Z [2023-07-07 20:00:26,467] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_7]. 2023-07-07T20:05:31.4544101Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4544107Z 2023-07-07T20:05:31.4544303Z [2023-07-07 20:00:26,467] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4544494Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4544512Z 2023-07-07T20:05:31.4544680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4544951Z - self: 2023-07-07T20:05:31.4545154Z - node: fx.Node(getitem_7[call_function]'') 2023-07-07T20:05:31.4545268Z - aten_name: 2023-07-07T20:05:31.4545400Z - function_overloads: 2023-07-07T20:05:31.4545514Z - onnx_args: 2023-07-07T20:05:31.4545629Z - onnx_kwargs: 2023-07-07T20:05:31.4545918Z - diagnostic_context: 2023-07-07T20:05:31.4546070Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4546353Z [2023-07-07 20:00:26,468] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.4546500Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4546506Z 2023-07-07T20:05:31.4546700Z [2023-07-07 20:00:26,469] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4546904Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4546909Z 2023-07-07T20:05:31.4547090Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4547356Z - self: 2023-07-07T20:05:31.4547570Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4547670Z - aten_name: 2023-07-07T20:05:31.4547799Z - function_overloads: 2023-07-07T20:05:31.4547914Z - onnx_args: 2023-07-07T20:05:31.4548029Z - onnx_kwargs: 2023-07-07T20:05:31.4548335Z - diagnostic_context: 2023-07-07T20:05:31.4548546Z - Return value: 2023-07-07T20:05:31.4548860Z [2023-07-07 20:00:26,473] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.4548997Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4549200Z [2023-07-07 20:00:26,473] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4549275Z ### Exception log 2023-07-07T20:05:31.4549335Z ``` 2023-07-07T20:05:31.4549432Z Traceback (most recent call last): 2023-07-07T20:05:31.4549438Z 2023-07-07T20:05:31.4549771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4549894Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4549899Z 2023-07-07T20:05:31.4550188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4550272Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4550290Z 2023-07-07T20:05:31.4550627Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4550722Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4550766Z 2023-07-07T20:05:31.4551026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4551162Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4551167Z 2023-07-07T20:05:31.4551441Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4551575Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4551581Z 2023-07-07T20:05:31.4551910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4551986Z result = op.Conv( 2023-07-07T20:05:31.4551992Z 2023-07-07T20:05:31.4552280Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4552339Z return op( 2023-07-07T20:05:31.4552359Z 2023-07-07T20:05:31.4552604Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4552733Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4552738Z 2023-07-07T20:05:31.4552997Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4553128Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4553133Z 2023-07-07T20:05:31.4553394Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4553517Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4553522Z 2023-07-07T20:05:31.4553790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4553969Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4553977Z 2023-07-07T20:05:31.4554230Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4554311Z node.attribute.extend( 2023-07-07T20:05:31.4554329Z 2023-07-07T20:05:31.4554572Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4554742Z make_attribute(key, value) 2023-07-07T20:05:31.4554748Z 2023-07-07T20:05:31.4555012Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4555092Z raise ValueError( 2023-07-07T20:05:31.4555098Z 2023-07-07T20:05:31.4555273Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4555280Z 2023-07-07T20:05:31.4555342Z ``` 2023-07-07T20:05:31.4555509Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4555818Z - diagnostic_context: 2023-07-07T20:05:31.4556025Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4556237Z - symbolic_fn: 2023-07-07T20:05:31.4556355Z - torch_args: 2023-07-07T20:05:31.4556477Z - torch_kwargs: 2023-07-07T20:05:31.4556610Z - Return value: 2023-07-07T20:05:31.4556925Z [2023-07-07 20:00:26,477] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_24]. 2023-07-07T20:05:31.4557112Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4557118Z 2023-07-07T20:05:31.4557316Z [2023-07-07 20:00:26,477] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4557542Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4557562Z 2023-07-07T20:05:31.4557762Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4558031Z - self: 2023-07-07T20:05:31.4558272Z - node: fx.Node(convert_element_type_24[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4558386Z - aten_name: 2023-07-07T20:05:31.4558518Z - function_overloads: 2023-07-07T20:05:31.4558634Z - onnx_args: 2023-07-07T20:05:31.4558751Z - onnx_kwargs: 2023-07-07T20:05:31.4559044Z - diagnostic_context: 2023-07-07T20:05:31.4559226Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4559538Z [2023-07-07 20:00:26,479] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_25]. 2023-07-07T20:05:31.4559698Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4559706Z 2023-07-07T20:05:31.4559903Z [2023-07-07 20:00:26,479] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4560105Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4560110Z 2023-07-07T20:05:31.4560295Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4560564Z - self: 2023-07-07T20:05:31.4560806Z - node: fx.Node(convert_element_type_25[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4560908Z - aten_name: 2023-07-07T20:05:31.4561043Z - function_overloads: 2023-07-07T20:05:31.4561162Z - onnx_args: 2023-07-07T20:05:31.4561282Z - onnx_kwargs: 2023-07-07T20:05:31.4561587Z - diagnostic_context: 2023-07-07T20:05:31.4561770Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4562020Z [2023-07-07 20:00:26,485] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_12]. 2023-07-07T20:05:31.4562155Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4562329Z [2023-07-07 20:00:26,485] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4562403Z ### Exception log 2023-07-07T20:05:31.4562464Z ``` 2023-07-07T20:05:31.4562559Z Traceback (most recent call last): 2023-07-07T20:05:31.4562564Z 2023-07-07T20:05:31.4562898Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4562996Z torch.testing.assert_close( 2023-07-07T20:05:31.4563002Z 2023-07-07T20:05:31.4563325Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4563422Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4563427Z 2023-07-07T20:05:31.4563571Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4563576Z 2023-07-07T20:05:31.4563671Z Mismatched elements: 14 / 24 (58.3%) 2023-07-07T20:05:31.4563805Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4563944Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4563949Z 2023-07-07T20:05:31.4564010Z ``` 2023-07-07T20:05:31.4564131Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4564628Z - diagnostic_context: 2023-07-07T20:05:31.4564824Z - node: fx.Node(sqrt_12[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4564995Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4565114Z - torch_args: 2023-07-07T20:05:31.4565233Z - torch_kwargs: 2023-07-07T20:05:31.4565404Z - Return value: 2023-07-07T20:05:31.4565666Z [2023-07-07 20:00:26,488] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_12]. 2023-07-07T20:05:31.4565808Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4565814Z 2023-07-07T20:05:31.4566014Z [2023-07-07 20:00:26,488] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4566217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4566223Z 2023-07-07T20:05:31.4566453Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4568097Z - self: 2023-07-07T20:05:31.4568323Z - node: fx.Node(tensor_int_12[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4568439Z - aten_name: 2023-07-07T20:05:31.4568575Z - function_overloads: 2023-07-07T20:05:31.4568693Z - onnx_args: 2023-07-07T20:05:31.4568811Z - onnx_kwargs: 2023-07-07T20:05:31.4569118Z - diagnostic_context: 2023-07-07T20:05:31.4569265Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4569546Z [2023-07-07 20:00:26,497] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_96]. 2023-07-07T20:05:31.4569688Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4569695Z 2023-07-07T20:05:31.4569897Z [2023-07-07 20:00:26,497] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4570102Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4570112Z 2023-07-07T20:05:31.4570297Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4570568Z - self: 2023-07-07T20:05:31.4570774Z - node: fx.Node(unsqueeze_96[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4570886Z - aten_name: 2023-07-07T20:05:31.4571006Z - function_overloads: 2023-07-07T20:05:31.4571122Z - onnx_args: 2023-07-07T20:05:31.4571242Z - onnx_kwargs: 2023-07-07T20:05:31.4571544Z - diagnostic_context: 2023-07-07T20:05:31.4571702Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4571978Z [2023-07-07 20:00:26,499] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_97]. 2023-07-07T20:05:31.4572122Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4572196Z 2023-07-07T20:05:31.4572383Z [2023-07-07 20:00:26,499] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4572588Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4572594Z 2023-07-07T20:05:31.4572779Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4573045Z - self: 2023-07-07T20:05:31.4573250Z - node: fx.Node(unsqueeze_97[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4573364Z - aten_name: 2023-07-07T20:05:31.4573529Z - function_overloads: 2023-07-07T20:05:31.4573647Z - onnx_args: 2023-07-07T20:05:31.4573751Z - onnx_kwargs: 2023-07-07T20:05:31.4574059Z - diagnostic_context: 2023-07-07T20:05:31.4574247Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4574524Z [2023-07-07 20:00:26,501] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_98]. 2023-07-07T20:05:31.4574699Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4574706Z 2023-07-07T20:05:31.4574903Z [2023-07-07 20:00:26,501] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4575106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4575112Z 2023-07-07T20:05:31.4575294Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4575565Z - self: 2023-07-07T20:05:31.4575757Z - node: fx.Node(unsqueeze_98[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4575874Z - aten_name: 2023-07-07T20:05:31.4576007Z - function_overloads: 2023-07-07T20:05:31.4576122Z - onnx_args: 2023-07-07T20:05:31.4576240Z - onnx_kwargs: 2023-07-07T20:05:31.4576543Z - diagnostic_context: 2023-07-07T20:05:31.4576699Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4576960Z [2023-07-07 20:00:26,503] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_99]. 2023-07-07T20:05:31.4577102Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4577107Z 2023-07-07T20:05:31.4577304Z [2023-07-07 20:00:26,503] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4577509Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4577515Z 2023-07-07T20:05:31.4577700Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4577968Z - self: 2023-07-07T20:05:31.4578173Z - node: fx.Node(unsqueeze_99[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4578285Z - aten_name: 2023-07-07T20:05:31.4578415Z - function_overloads: 2023-07-07T20:05:31.4578518Z - onnx_args: 2023-07-07T20:05:31.4578634Z - onnx_kwargs: 2023-07-07T20:05:31.4578938Z - diagnostic_context: 2023-07-07T20:05:31.4579094Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4579374Z [2023-07-07 20:00:26,512] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_100]. 2023-07-07T20:05:31.4579514Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4579519Z 2023-07-07T20:05:31.4579751Z [2023-07-07 20:00:26,512] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4579956Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4579964Z 2023-07-07T20:05:31.4580144Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4580400Z - self: 2023-07-07T20:05:31.4580606Z - node: fx.Node(unsqueeze_100[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4580720Z - aten_name: 2023-07-07T20:05:31.4580850Z - function_overloads: 2023-07-07T20:05:31.4580965Z - onnx_args: 2023-07-07T20:05:31.4581123Z - onnx_kwargs: 2023-07-07T20:05:31.4581428Z - diagnostic_context: 2023-07-07T20:05:31.4581574Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4581908Z [2023-07-07 20:00:26,514] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_101]. 2023-07-07T20:05:31.4582077Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4582083Z 2023-07-07T20:05:31.4582278Z [2023-07-07 20:00:26,514] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4582478Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4582484Z 2023-07-07T20:05:31.4582670Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4582938Z - self: 2023-07-07T20:05:31.4583147Z - node: fx.Node(unsqueeze_101[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4583259Z - aten_name: 2023-07-07T20:05:31.4583381Z - function_overloads: 2023-07-07T20:05:31.4583498Z - onnx_args: 2023-07-07T20:05:31.4583618Z - onnx_kwargs: 2023-07-07T20:05:31.4583921Z - diagnostic_context: 2023-07-07T20:05:31.4584080Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4584358Z [2023-07-07 20:00:26,519] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_102]. 2023-07-07T20:05:31.4584500Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4584506Z 2023-07-07T20:05:31.4584704Z [2023-07-07 20:00:26,519] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4584896Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4584902Z 2023-07-07T20:05:31.4585084Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4585353Z - self: 2023-07-07T20:05:31.4585558Z - node: fx.Node(unsqueeze_102[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4585674Z - aten_name: 2023-07-07T20:05:31.4585805Z - function_overloads: 2023-07-07T20:05:31.4585921Z - onnx_args: 2023-07-07T20:05:31.4586037Z - onnx_kwargs: 2023-07-07T20:05:31.4586328Z - diagnostic_context: 2023-07-07T20:05:31.4586483Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4586759Z [2023-07-07 20:00:26,521] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_103]. 2023-07-07T20:05:31.4586900Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4586906Z 2023-07-07T20:05:31.4587102Z [2023-07-07 20:00:26,521] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4587336Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4587343Z 2023-07-07T20:05:31.4587527Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4587795Z - self: 2023-07-07T20:05:31.4587999Z - node: fx.Node(unsqueeze_103[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4588099Z - aten_name: 2023-07-07T20:05:31.4588230Z - function_overloads: 2023-07-07T20:05:31.4588344Z - onnx_args: 2023-07-07T20:05:31.4588461Z - onnx_kwargs: 2023-07-07T20:05:31.4588789Z - diagnostic_context: 2023-07-07T20:05:31.4588946Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4589233Z [2023-07-07 20:00:26,538] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.4589399Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4589405Z 2023-07-07T20:05:31.4589626Z [2023-07-07 20:00:26,538] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4589827Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4589832Z 2023-07-07T20:05:31.4590010Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4590273Z - self: 2023-07-07T20:05:31.4590487Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4590602Z - aten_name: 2023-07-07T20:05:31.4590735Z - function_overloads: 2023-07-07T20:05:31.4590837Z - onnx_args: 2023-07-07T20:05:31.4590952Z - onnx_kwargs: 2023-07-07T20:05:31.4591258Z - diagnostic_context: 2023-07-07T20:05:31.4591470Z - Return value: 2023-07-07T20:05:31.4591757Z [2023-07-07 20:00:26,543] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.4591903Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4592103Z [2023-07-07 20:00:26,543] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4592180Z ### Exception log 2023-07-07T20:05:31.4592228Z ``` 2023-07-07T20:05:31.4592323Z Traceback (most recent call last): 2023-07-07T20:05:31.4592329Z 2023-07-07T20:05:31.4592663Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4592784Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4592792Z 2023-07-07T20:05:31.4593053Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4593147Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4593155Z 2023-07-07T20:05:31.4593472Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4593569Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4593575Z 2023-07-07T20:05:31.4593834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4593957Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4593976Z 2023-07-07T20:05:31.4594240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4594375Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4594382Z 2023-07-07T20:05:31.4594827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4594910Z result = op.Conv( 2023-07-07T20:05:31.4594916Z 2023-07-07T20:05:31.4595202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4595274Z return op( 2023-07-07T20:05:31.4595279Z 2023-07-07T20:05:31.4595535Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4595661Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4595667Z 2023-07-07T20:05:31.4595959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4596079Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4596098Z 2023-07-07T20:05:31.4596377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4596502Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4596536Z 2023-07-07T20:05:31.4596802Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4596977Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4596983Z 2023-07-07T20:05:31.4597235Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4597328Z node.attribute.extend( 2023-07-07T20:05:31.4597334Z 2023-07-07T20:05:31.4597589Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4597678Z make_attribute(key, value) 2023-07-07T20:05:31.4597683Z 2023-07-07T20:05:31.4597942Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4598013Z raise ValueError( 2023-07-07T20:05:31.4598018Z 2023-07-07T20:05:31.4598193Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4598200Z 2023-07-07T20:05:31.4598260Z ``` 2023-07-07T20:05:31.4598380Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4598687Z - diagnostic_context: 2023-07-07T20:05:31.4598904Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4599112Z - symbolic_fn: 2023-07-07T20:05:31.4599229Z - torch_args: 2023-07-07T20:05:31.4599338Z - torch_kwargs: 2023-07-07T20:05:31.4599465Z - Return value: 2023-07-07T20:05:31.4599778Z [2023-07-07 20:00:26,547] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_26]. 2023-07-07T20:05:31.4599943Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4599949Z 2023-07-07T20:05:31.4600150Z [2023-07-07 20:00:26,547] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4600354Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4600359Z 2023-07-07T20:05:31.4600543Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4600811Z - self: 2023-07-07T20:05:31.4601051Z - node: fx.Node(convert_element_type_26[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4601156Z - aten_name: 2023-07-07T20:05:31.4601288Z - function_overloads: 2023-07-07T20:05:31.4601405Z - onnx_args: 2023-07-07T20:05:31.4601523Z - onnx_kwargs: 2023-07-07T20:05:31.4601858Z - diagnostic_context: 2023-07-07T20:05:31.4602045Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4602353Z [2023-07-07 20:00:26,550] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_27]. 2023-07-07T20:05:31.4602499Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4602516Z 2023-07-07T20:05:31.4602701Z [2023-07-07 20:00:26,550] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4602904Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4602909Z 2023-07-07T20:05:31.4603120Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4603390Z - self: 2023-07-07T20:05:31.4603662Z - node: fx.Node(convert_element_type_27[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4603816Z - aten_name: 2023-07-07T20:05:31.4603949Z - function_overloads: 2023-07-07T20:05:31.4604063Z - onnx_args: 2023-07-07T20:05:31.4604166Z - onnx_kwargs: 2023-07-07T20:05:31.4604625Z - diagnostic_context: 2023-07-07T20:05:31.4604913Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4605285Z [2023-07-07 20:00:26,556] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_13]. 2023-07-07T20:05:31.4605475Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4605758Z [2023-07-07 20:00:26,556] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4605841Z ### Exception log 2023-07-07T20:05:31.4605892Z ``` 2023-07-07T20:05:31.4605987Z Traceback (most recent call last): 2023-07-07T20:05:31.4605997Z 2023-07-07T20:05:31.4606329Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4606429Z torch.testing.assert_close( 2023-07-07T20:05:31.4606435Z 2023-07-07T20:05:31.4606719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4606813Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4606818Z 2023-07-07T20:05:31.4606973Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4606979Z 2023-07-07T20:05:31.4607070Z Mismatched elements: 12 / 24 (50.0%) 2023-07-07T20:05:31.4607208Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.4607332Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4607351Z 2023-07-07T20:05:31.4607401Z ``` 2023-07-07T20:05:31.4607523Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4607830Z - diagnostic_context: 2023-07-07T20:05:31.4608013Z - node: fx.Node(sqrt_13[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4608154Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4608272Z - torch_args: 2023-07-07T20:05:31.4608392Z - torch_kwargs: 2023-07-07T20:05:31.4608507Z - Return value: 2023-07-07T20:05:31.4608762Z [2023-07-07 20:00:26,559] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_13]. 2023-07-07T20:05:31.4608902Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4608908Z 2023-07-07T20:05:31.4609106Z [2023-07-07 20:00:26,559] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4609309Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4609317Z 2023-07-07T20:05:31.4609575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4609849Z - self: 2023-07-07T20:05:31.4610037Z - node: fx.Node(tensor_int_13[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4610137Z - aten_name: 2023-07-07T20:05:31.4610271Z - function_overloads: 2023-07-07T20:05:31.4610387Z - onnx_args: 2023-07-07T20:05:31.4610504Z - onnx_kwargs: 2023-07-07T20:05:31.4610809Z - diagnostic_context: 2023-07-07T20:05:31.4611009Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4611289Z [2023-07-07 20:00:26,568] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_104]. 2023-07-07T20:05:31.4611467Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4611475Z 2023-07-07T20:05:31.4611657Z [2023-07-07 20:00:26,568] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4611894Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4611899Z 2023-07-07T20:05:31.4612082Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4612349Z - self: 2023-07-07T20:05:31.4612556Z - node: fx.Node(unsqueeze_104[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4612670Z - aten_name: 2023-07-07T20:05:31.4612803Z - function_overloads: 2023-07-07T20:05:31.4612921Z - onnx_args: 2023-07-07T20:05:31.4613024Z - onnx_kwargs: 2023-07-07T20:05:31.4613332Z - diagnostic_context: 2023-07-07T20:05:31.4613493Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4613773Z [2023-07-07 20:00:26,570] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_105]. 2023-07-07T20:05:31.4613917Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4613923Z 2023-07-07T20:05:31.4614122Z [2023-07-07 20:00:26,570] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4614323Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4614329Z 2023-07-07T20:05:31.4614512Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4614781Z - self: 2023-07-07T20:05:31.4614975Z - node: fx.Node(unsqueeze_105[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4615094Z - aten_name: 2023-07-07T20:05:31.4615229Z - function_overloads: 2023-07-07T20:05:31.4615345Z - onnx_args: 2023-07-07T20:05:31.4615463Z - onnx_kwargs: 2023-07-07T20:05:31.4615766Z - diagnostic_context: 2023-07-07T20:05:31.4615923Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4616188Z [2023-07-07 20:00:26,572] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_106]. 2023-07-07T20:05:31.4616330Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4616335Z 2023-07-07T20:05:31.4616533Z [2023-07-07 20:00:26,572] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4616737Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4616744Z 2023-07-07T20:05:31.4616927Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4617226Z - self: 2023-07-07T20:05:31.4617436Z - node: fx.Node(unsqueeze_106[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4617550Z - aten_name: 2023-07-07T20:05:31.4617682Z - function_overloads: 2023-07-07T20:05:31.4617783Z - onnx_args: 2023-07-07T20:05:31.4617900Z - onnx_kwargs: 2023-07-07T20:05:31.4618201Z - diagnostic_context: 2023-07-07T20:05:31.4618356Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4618661Z [2023-07-07 20:00:26,574] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_107]. 2023-07-07T20:05:31.4618806Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4618811Z 2023-07-07T20:05:31.4619037Z [2023-07-07 20:00:26,574] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4619240Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4619274Z 2023-07-07T20:05:31.4619445Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4619712Z - self: 2023-07-07T20:05:31.4619918Z - node: fx.Node(unsqueeze_107[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4620031Z - aten_name: 2023-07-07T20:05:31.4620163Z - function_overloads: 2023-07-07T20:05:31.4620278Z - onnx_args: 2023-07-07T20:05:31.4620395Z - onnx_kwargs: 2023-07-07T20:05:31.4620701Z - diagnostic_context: 2023-07-07T20:05:31.4620846Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4621131Z [2023-07-07 20:00:26,583] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_108]. 2023-07-07T20:05:31.4621271Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4621279Z 2023-07-07T20:05:31.4621475Z [2023-07-07 20:00:26,583] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4621676Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4621681Z 2023-07-07T20:05:31.4621866Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4622132Z - self: 2023-07-07T20:05:31.4622339Z - node: fx.Node(unsqueeze_108[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4622452Z - aten_name: 2023-07-07T20:05:31.4622572Z - function_overloads: 2023-07-07T20:05:31.4622689Z - onnx_args: 2023-07-07T20:05:31.4622809Z - onnx_kwargs: 2023-07-07T20:05:31.4623111Z - diagnostic_context: 2023-07-07T20:05:31.4623272Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4623550Z [2023-07-07 20:00:26,585] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_109]. 2023-07-07T20:05:31.4623694Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4623699Z 2023-07-07T20:05:31.4623882Z [2023-07-07 20:00:26,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4624085Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4624093Z 2023-07-07T20:05:31.4624277Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4624543Z - self: 2023-07-07T20:05:31.4624781Z - node: fx.Node(unsqueeze_109[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4624899Z - aten_name: 2023-07-07T20:05:31.4625031Z - function_overloads: 2023-07-07T20:05:31.4625145Z - onnx_args: 2023-07-07T20:05:31.4625249Z - onnx_kwargs: 2023-07-07T20:05:31.4625549Z - diagnostic_context: 2023-07-07T20:05:31.4625705Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4625982Z [2023-07-07 20:00:26,591] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_110]. 2023-07-07T20:05:31.4626149Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4626156Z 2023-07-07T20:05:31.4626351Z [2023-07-07 20:00:26,591] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4626585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4626591Z 2023-07-07T20:05:31.4626773Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4627070Z - self: 2023-07-07T20:05:31.4627262Z - node: fx.Node(unsqueeze_110[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4627376Z - aten_name: 2023-07-07T20:05:31.4627506Z - function_overloads: 2023-07-07T20:05:31.4627621Z - onnx_args: 2023-07-07T20:05:31.4627737Z - onnx_kwargs: 2023-07-07T20:05:31.4628041Z - diagnostic_context: 2023-07-07T20:05:31.4628197Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4628475Z [2023-07-07 20:00:26,593] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_111]. 2023-07-07T20:05:31.4628608Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4628613Z 2023-07-07T20:05:31.4628808Z [2023-07-07 20:00:26,593] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4629010Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4629016Z 2023-07-07T20:05:31.4629197Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4629464Z - self: 2023-07-07T20:05:31.4629667Z - node: fx.Node(unsqueeze_111[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4629780Z - aten_name: 2023-07-07T20:05:31.4629914Z - function_overloads: 2023-07-07T20:05:31.4630016Z - onnx_args: 2023-07-07T20:05:31.4630132Z - onnx_kwargs: 2023-07-07T20:05:31.4630435Z - diagnostic_context: 2023-07-07T20:05:31.4630591Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4630877Z [2023-07-07 20:00:26,599] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.4631020Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4631026Z 2023-07-07T20:05:31.4631221Z [2023-07-07 20:00:26,599] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4631420Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4631426Z 2023-07-07T20:05:31.4631608Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4631861Z - self: 2023-07-07T20:05:31.4632075Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4632220Z - aten_name: 2023-07-07T20:05:31.4632352Z - function_overloads: 2023-07-07T20:05:31.4632468Z - onnx_args: 2023-07-07T20:05:31.4632584Z - onnx_kwargs: 2023-07-07T20:05:31.4632884Z - diagnostic_context: 2023-07-07T20:05:31.4633083Z - Return value: 2023-07-07T20:05:31.4633368Z [2023-07-07 20:00:26,603] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.4633508Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4633744Z [2023-07-07 20:00:26,603] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4633819Z ### Exception log 2023-07-07T20:05:31.4633880Z ``` 2023-07-07T20:05:31.4633975Z Traceback (most recent call last): 2023-07-07T20:05:31.4634008Z 2023-07-07T20:05:31.4634341Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4634480Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4634498Z 2023-07-07T20:05:31.4634834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4634931Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4634937Z 2023-07-07T20:05:31.4635257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4635353Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4635359Z 2023-07-07T20:05:31.4635621Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4635758Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4635766Z 2023-07-07T20:05:31.4636043Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4636181Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4636186Z 2023-07-07T20:05:31.4636510Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4636574Z result = op.Conv( 2023-07-07T20:05:31.4636592Z 2023-07-07T20:05:31.4636864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4636935Z return op( 2023-07-07T20:05:31.4636940Z 2023-07-07T20:05:31.4637198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4637325Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4637332Z 2023-07-07T20:05:31.4637592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4637723Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4637730Z 2023-07-07T20:05:31.4637990Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4638113Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4638119Z 2023-07-07T20:05:31.4638388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4638551Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4638570Z 2023-07-07T20:05:31.4638810Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4638903Z node.attribute.extend( 2023-07-07T20:05:31.4638910Z 2023-07-07T20:05:31.4639198Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4639288Z make_attribute(key, value) 2023-07-07T20:05:31.4639295Z 2023-07-07T20:05:31.4639554Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4639632Z raise ValueError( 2023-07-07T20:05:31.4639638Z 2023-07-07T20:05:31.4639808Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4639813Z 2023-07-07T20:05:31.4639874Z ``` 2023-07-07T20:05:31.4639983Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4640289Z - diagnostic_context: 2023-07-07T20:05:31.4640563Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4640775Z - symbolic_fn: 2023-07-07T20:05:31.4640920Z - torch_args: 2023-07-07T20:05:31.4641042Z - torch_kwargs: 2023-07-07T20:05:31.4641171Z - Return value: 2023-07-07T20:05:31.4641510Z [2023-07-07 20:00:26,607] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_28]. 2023-07-07T20:05:31.4641656Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4641662Z 2023-07-07T20:05:31.4641860Z [2023-07-07 20:00:26,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4642063Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4642069Z 2023-07-07T20:05:31.4642256Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4642523Z - self: 2023-07-07T20:05:31.4642771Z - node: fx.Node(convert_element_type_28[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4642886Z - aten_name: 2023-07-07T20:05:31.4643018Z - function_overloads: 2023-07-07T20:05:31.4643135Z - onnx_args: 2023-07-07T20:05:31.4643238Z - onnx_kwargs: 2023-07-07T20:05:31.4643543Z - diagnostic_context: 2023-07-07T20:05:31.4643726Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4644035Z [2023-07-07 20:00:26,609] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_29]. 2023-07-07T20:05:31.4644194Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4644202Z 2023-07-07T20:05:31.4644512Z [2023-07-07 20:00:26,609] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4644754Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4644764Z 2023-07-07T20:05:31.4644948Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4645206Z - self: 2023-07-07T20:05:31.4645448Z - node: fx.Node(convert_element_type_29[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4645561Z - aten_name: 2023-07-07T20:05:31.4645692Z - function_overloads: 2023-07-07T20:05:31.4645808Z - onnx_args: 2023-07-07T20:05:31.4645924Z - onnx_kwargs: 2023-07-07T20:05:31.4646229Z - diagnostic_context: 2023-07-07T20:05:31.4646412Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4646651Z [2023-07-07 20:00:26,615] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_14]. 2023-07-07T20:05:31.4646843Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4647033Z [2023-07-07 20:00:26,615] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4647109Z ### Exception log 2023-07-07T20:05:31.4647169Z ``` 2023-07-07T20:05:31.4647262Z Traceback (most recent call last): 2023-07-07T20:05:31.4647268Z 2023-07-07T20:05:31.4647597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4647692Z torch.testing.assert_close( 2023-07-07T20:05:31.4647698Z 2023-07-07T20:05:31.4647968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4648102Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4648108Z 2023-07-07T20:05:31.4648267Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4648272Z 2023-07-07T20:05:31.4648410Z Mismatched elements: 10 / 24 (41.7%) 2023-07-07T20:05:31.4648548Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.4648684Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4648721Z 2023-07-07T20:05:31.4648782Z ``` 2023-07-07T20:05:31.4648904Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4649200Z - diagnostic_context: 2023-07-07T20:05:31.4649381Z - node: fx.Node(sqrt_14[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4649522Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4649667Z - torch_args: 2023-07-07T20:05:31.4649845Z - torch_kwargs: 2023-07-07T20:05:31.4649979Z - Return value: 2023-07-07T20:05:31.4650238Z [2023-07-07 20:00:26,618] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_14]. 2023-07-07T20:05:31.4650381Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4650392Z 2023-07-07T20:05:31.4650629Z [2023-07-07 20:00:26,618] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4650837Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4650843Z 2023-07-07T20:05:31.4651027Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4651295Z - self: 2023-07-07T20:05:31.4651480Z - node: fx.Node(tensor_int_14[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4651594Z - aten_name: 2023-07-07T20:05:31.4651726Z - function_overloads: 2023-07-07T20:05:31.4651844Z - onnx_args: 2023-07-07T20:05:31.4651950Z - onnx_kwargs: 2023-07-07T20:05:31.4652252Z - diagnostic_context: 2023-07-07T20:05:31.4652412Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4652689Z [2023-07-07 20:00:26,627] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_112]. 2023-07-07T20:05:31.4652831Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4652837Z 2023-07-07T20:05:31.4653034Z [2023-07-07 20:00:26,627] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4653235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4653241Z 2023-07-07T20:05:31.4653423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4653693Z - self: 2023-07-07T20:05:31.4653886Z - node: fx.Node(unsqueeze_112[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4654001Z - aten_name: 2023-07-07T20:05:31.4654172Z - function_overloads: 2023-07-07T20:05:31.4654290Z - onnx_args: 2023-07-07T20:05:31.4654407Z - onnx_kwargs: 2023-07-07T20:05:31.4654712Z - diagnostic_context: 2023-07-07T20:05:31.4654869Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4655133Z [2023-07-07 20:00:26,629] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_113]. 2023-07-07T20:05:31.4655275Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4655281Z 2023-07-07T20:05:31.4655476Z [2023-07-07 20:00:26,629] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4655712Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4655718Z 2023-07-07T20:05:31.4655903Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4656200Z - self: 2023-07-07T20:05:31.4656451Z - node: fx.Node(unsqueeze_113[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4656564Z - aten_name: 2023-07-07T20:05:31.4656695Z - function_overloads: 2023-07-07T20:05:31.4656796Z - onnx_args: 2023-07-07T20:05:31.4656912Z - onnx_kwargs: 2023-07-07T20:05:31.4657216Z - diagnostic_context: 2023-07-07T20:05:31.4657373Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4657654Z [2023-07-07 20:00:26,632] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_114]. 2023-07-07T20:05:31.4657796Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4657803Z 2023-07-07T20:05:31.4658000Z [2023-07-07 20:00:26,632] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4658207Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4658215Z 2023-07-07T20:05:31.4658385Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4658654Z - self: 2023-07-07T20:05:31.4658858Z - node: fx.Node(unsqueeze_114[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4658970Z - aten_name: 2023-07-07T20:05:31.4659102Z - function_overloads: 2023-07-07T20:05:31.4659217Z - onnx_args: 2023-07-07T20:05:31.4659333Z - onnx_kwargs: 2023-07-07T20:05:31.4659638Z - diagnostic_context: 2023-07-07T20:05:31.4659781Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4660063Z [2023-07-07 20:00:26,634] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_115]. 2023-07-07T20:05:31.4660204Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4660212Z 2023-07-07T20:05:31.4660409Z [2023-07-07 20:00:26,634] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4660610Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4660616Z 2023-07-07T20:05:31.4660797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4661064Z - self: 2023-07-07T20:05:31.4661272Z - node: fx.Node(unsqueeze_115[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4661384Z - aten_name: 2023-07-07T20:05:31.4661503Z - function_overloads: 2023-07-07T20:05:31.4661618Z - onnx_args: 2023-07-07T20:05:31.4661766Z - onnx_kwargs: 2023-07-07T20:05:31.4662072Z - diagnostic_context: 2023-07-07T20:05:31.4662229Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4662508Z [2023-07-07 20:00:26,645] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_116]. 2023-07-07T20:05:31.4662649Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4662654Z 2023-07-07T20:05:31.4662837Z [2023-07-07 20:00:26,645] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4663039Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4663071Z 2023-07-07T20:05:31.4663257Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4663523Z - self: 2023-07-07T20:05:31.4663764Z - node: fx.Node(unsqueeze_116[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4663904Z - aten_name: 2023-07-07T20:05:31.4664035Z - function_overloads: 2023-07-07T20:05:31.4664150Z - onnx_args: 2023-07-07T20:05:31.4664254Z - onnx_kwargs: 2023-07-07T20:05:31.4664558Z - diagnostic_context: 2023-07-07T20:05:31.4664712Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4664990Z [2023-07-07 20:00:26,647] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_117]. 2023-07-07T20:05:31.4665130Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4665138Z 2023-07-07T20:05:31.4665332Z [2023-07-07 20:00:26,647] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4665538Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4665546Z 2023-07-07T20:05:31.4665729Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4665999Z - self: 2023-07-07T20:05:31.4666189Z - node: fx.Node(unsqueeze_117[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4666302Z - aten_name: 2023-07-07T20:05:31.4666433Z - function_overloads: 2023-07-07T20:05:31.4666549Z - onnx_args: 2023-07-07T20:05:31.4666666Z - onnx_kwargs: 2023-07-07T20:05:31.4666969Z - diagnostic_context: 2023-07-07T20:05:31.4667126Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4667405Z [2023-07-07 20:00:26,654] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_118]. 2023-07-07T20:05:31.4667539Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4667544Z 2023-07-07T20:05:31.4667738Z [2023-07-07 20:00:26,654] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4667946Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4667952Z 2023-07-07T20:05:31.4668133Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4668400Z - self: 2023-07-07T20:05:31.4668606Z - node: fx.Node(unsqueeze_118[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4668720Z - aten_name: 2023-07-07T20:05:31.4668853Z - function_overloads: 2023-07-07T20:05:31.4668955Z - onnx_args: 2023-07-07T20:05:31.4669071Z - onnx_kwargs: 2023-07-07T20:05:31.4669406Z - diagnostic_context: 2023-07-07T20:05:31.4669565Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4669844Z [2023-07-07 20:00:26,656] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_119]. 2023-07-07T20:05:31.4669985Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4669990Z 2023-07-07T20:05:31.4670188Z [2023-07-07 20:00:26,657] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4670391Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4670397Z 2023-07-07T20:05:31.4670606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4670863Z - self: 2023-07-07T20:05:31.4671068Z - node: fx.Node(unsqueeze_119[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4671216Z - aten_name: 2023-07-07T20:05:31.4671349Z - function_overloads: 2023-07-07T20:05:31.4671497Z - onnx_args: 2023-07-07T20:05:31.4671612Z - onnx_kwargs: 2023-07-07T20:05:31.4671913Z - diagnostic_context: 2023-07-07T20:05:31.4672055Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4672301Z [2023-07-07 20:00:26,670] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_3]. 2023-07-07T20:05:31.4672433Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4672439Z 2023-07-07T20:05:31.4672634Z [2023-07-07 20:00:26,670] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4672838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4672846Z 2023-07-07T20:05:31.4673030Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4673293Z - self: 2023-07-07T20:05:31.4673469Z - node: fx.Node(cat_3[call_function]'aten.cat.default') 2023-07-07T20:05:31.4673583Z - aten_name: 2023-07-07T20:05:31.4673700Z - function_overloads: 2023-07-07T20:05:31.4673813Z - onnx_args: 2023-07-07T20:05:31.4673930Z - onnx_kwargs: 2023-07-07T20:05:31.4674235Z - diagnostic_context: 2023-07-07T20:05:31.4674378Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.4674728Z [2023-07-07 20:00:26,676] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_3]. 2023-07-07T20:05:31.4674873Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4674878Z 2023-07-07T20:05:31.4675084Z [2023-07-07 20:00:26,676] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4675271Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4675280Z 2023-07-07T20:05:31.4675460Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4675726Z - self: 2023-07-07T20:05:31.4675920Z - node: fx.Node(transpose_3[call_function]'aten.transpose.int') 2023-07-07T20:05:31.4676035Z - aten_name: 2023-07-07T20:05:31.4676167Z - function_overloads: 2023-07-07T20:05:31.4676281Z - onnx_args: 2023-07-07T20:05:31.4676385Z - onnx_kwargs: 2023-07-07T20:05:31.4676694Z - diagnostic_context: 2023-07-07T20:05:31.4676905Z - Return value: 2023-07-07T20:05:31.4677199Z [2023-07-07 20:00:26,679] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_3]. 2023-07-07T20:05:31.4677337Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4677343Z 2023-07-07T20:05:31.4677540Z [2023-07-07 20:00:26,679] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4677742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4677747Z 2023-07-07T20:05:31.4677932Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4678202Z - self: 2023-07-07T20:05:31.4678402Z - node: fx.Node(clone_3[call_function]'aten.clone.default') 2023-07-07T20:05:31.4678517Z - aten_name: 2023-07-07T20:05:31.4678648Z - function_overloads: 2023-07-07T20:05:31.4678793Z - onnx_args: 2023-07-07T20:05:31.4678911Z - onnx_kwargs: 2023-07-07T20:05:31.4679215Z - diagnostic_context: 2023-07-07T20:05:31.4679396Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.4679680Z [2023-07-07 20:00:26,685] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.4679812Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4679817Z 2023-07-07T20:05:31.4680013Z [2023-07-07 20:00:26,685] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4680215Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4680223Z 2023-07-07T20:05:31.4680405Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4680672Z - self: 2023-07-07T20:05:31.4680892Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4681007Z - aten_name: 2023-07-07T20:05:31.4681139Z - function_overloads: 2023-07-07T20:05:31.4681240Z - onnx_args: 2023-07-07T20:05:31.4681356Z - onnx_kwargs: 2023-07-07T20:05:31.4681656Z - diagnostic_context: 2023-07-07T20:05:31.4681865Z - Return value: 2023-07-07T20:05:31.4682152Z [2023-07-07 20:00:26,693] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.4682298Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4682498Z [2023-07-07 20:00:26,693] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4682572Z ### Exception log 2023-07-07T20:05:31.4682621Z ``` 2023-07-07T20:05:31.4682717Z Traceback (most recent call last): 2023-07-07T20:05:31.4682723Z 2023-07-07T20:05:31.4683056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4683180Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4683185Z 2023-07-07T20:05:31.4683445Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4683539Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4683544Z 2023-07-07T20:05:31.4683862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4683958Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4683964Z 2023-07-07T20:05:31.4684220Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4684491Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4684517Z 2023-07-07T20:05:31.4684819Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4684959Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4684964Z 2023-07-07T20:05:31.4685289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4685366Z result = op.Conv( 2023-07-07T20:05:31.4685371Z 2023-07-07T20:05:31.4685657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4685798Z return op( 2023-07-07T20:05:31.4685804Z 2023-07-07T20:05:31.4686066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4686236Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4686242Z 2023-07-07T20:05:31.4686501Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4686654Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4686661Z 2023-07-07T20:05:31.4686922Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4687046Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4687051Z 2023-07-07T20:05:31.4687320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4687497Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4687503Z 2023-07-07T20:05:31.4687756Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4687850Z node.attribute.extend( 2023-07-07T20:05:31.4687858Z 2023-07-07T20:05:31.4688111Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4688200Z make_attribute(key, value) 2023-07-07T20:05:31.4688205Z 2023-07-07T20:05:31.4688463Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4688530Z raise ValueError( 2023-07-07T20:05:31.4688535Z 2023-07-07T20:05:31.4688706Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4688711Z 2023-07-07T20:05:31.4688771Z ``` 2023-07-07T20:05:31.4688891Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4689200Z - diagnostic_context: 2023-07-07T20:05:31.4689417Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4689631Z - symbolic_fn: 2023-07-07T20:05:31.4689748Z - torch_args: 2023-07-07T20:05:31.4689855Z - torch_kwargs: 2023-07-07T20:05:31.4689985Z - Return value: 2023-07-07T20:05:31.4690299Z [2023-07-07 20:00:26,698] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_30]. 2023-07-07T20:05:31.4690457Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4690462Z 2023-07-07T20:05:31.4690658Z [2023-07-07 20:00:26,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4690860Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4690869Z 2023-07-07T20:05:31.4691054Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4691360Z - self: 2023-07-07T20:05:31.4691602Z - node: fx.Node(convert_element_type_30[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4691706Z - aten_name: 2023-07-07T20:05:31.4691838Z - function_overloads: 2023-07-07T20:05:31.4691952Z - onnx_args: 2023-07-07T20:05:31.4692068Z - onnx_kwargs: 2023-07-07T20:05:31.4692370Z - diagnostic_context: 2023-07-07T20:05:31.4692554Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4692866Z [2023-07-07 20:00:26,710] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_31]. 2023-07-07T20:05:31.4693041Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4693060Z 2023-07-07T20:05:31.4693246Z [2023-07-07 20:00:26,710] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4693485Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4693518Z 2023-07-07T20:05:31.4693701Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4693968Z - self: 2023-07-07T20:05:31.4694207Z - node: fx.Node(convert_element_type_31[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4694319Z - aten_name: 2023-07-07T20:05:31.4694451Z - function_overloads: 2023-07-07T20:05:31.4694566Z - onnx_args: 2023-07-07T20:05:31.4694668Z - onnx_kwargs: 2023-07-07T20:05:31.4694970Z - diagnostic_context: 2023-07-07T20:05:31.4695150Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4695407Z [2023-07-07 20:00:26,736] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_15]. 2023-07-07T20:05:31.4695539Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4695727Z [2023-07-07 20:00:26,736] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4695801Z ### Exception log 2023-07-07T20:05:31.4695849Z ``` 2023-07-07T20:05:31.4695945Z Traceback (most recent call last): 2023-07-07T20:05:31.4695951Z 2023-07-07T20:05:31.4696283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4696378Z torch.testing.assert_close( 2023-07-07T20:05:31.4696384Z 2023-07-07T20:05:31.4696667Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4696758Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4696764Z 2023-07-07T20:05:31.4696921Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4696927Z 2023-07-07T20:05:31.4697020Z Mismatched elements: 19 / 48 (39.6%) 2023-07-07T20:05:31.4697154Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.4697278Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4697284Z 2023-07-07T20:05:31.4697344Z ``` 2023-07-07T20:05:31.4697464Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4697770Z - diagnostic_context: 2023-07-07T20:05:31.4697950Z - node: fx.Node(sqrt_15[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4698091Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4698208Z - torch_args: 2023-07-07T20:05:31.4698318Z - torch_kwargs: 2023-07-07T20:05:31.4698445Z - Return value: 2023-07-07T20:05:31.4698700Z [2023-07-07 20:00:26,765] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_15]. 2023-07-07T20:05:31.4698909Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4698915Z 2023-07-07T20:05:31.4699115Z [2023-07-07 20:00:26,765] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4699317Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4699323Z 2023-07-07T20:05:31.4699505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4699774Z - self: 2023-07-07T20:05:31.4699961Z - node: fx.Node(tensor_int_15[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4700089Z - aten_name: 2023-07-07T20:05:31.4700221Z - function_overloads: 2023-07-07T20:05:31.4700336Z - onnx_args: 2023-07-07T20:05:31.4700452Z - onnx_kwargs: 2023-07-07T20:05:31.4700785Z - diagnostic_context: 2023-07-07T20:05:31.4700945Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4701255Z [2023-07-07 20:00:26,820] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_120]. 2023-07-07T20:05:31.4701396Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4701402Z 2023-07-07T20:05:31.4701587Z [2023-07-07 20:00:26,820] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4701788Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4701794Z 2023-07-07T20:05:31.4701979Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4702245Z - self: 2023-07-07T20:05:31.4702459Z - node: fx.Node(unsqueeze_120[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4702572Z - aten_name: 2023-07-07T20:05:31.4702703Z - function_overloads: 2023-07-07T20:05:31.4702820Z - onnx_args: 2023-07-07T20:05:31.4702922Z - onnx_kwargs: 2023-07-07T20:05:31.4703225Z - diagnostic_context: 2023-07-07T20:05:31.4703381Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4703658Z [2023-07-07 20:00:26,824] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_121]. 2023-07-07T20:05:31.4703799Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4703805Z 2023-07-07T20:05:31.4704003Z [2023-07-07 20:00:26,824] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4704206Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4704214Z 2023-07-07T20:05:31.4704398Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4704668Z - self: 2023-07-07T20:05:31.4704860Z - node: fx.Node(unsqueeze_121[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4704973Z - aten_name: 2023-07-07T20:05:31.4705104Z - function_overloads: 2023-07-07T20:05:31.4705219Z - onnx_args: 2023-07-07T20:05:31.4705335Z - onnx_kwargs: 2023-07-07T20:05:31.4705634Z - diagnostic_context: 2023-07-07T20:05:31.4705791Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4706059Z [2023-07-07 20:00:26,828] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_122]. 2023-07-07T20:05:31.4706202Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4706210Z 2023-07-07T20:05:31.4706436Z [2023-07-07 20:00:26,828] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4706641Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4706646Z 2023-07-07T20:05:31.4706826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4707090Z - self: 2023-07-07T20:05:31.4707292Z - node: fx.Node(unsqueeze_122[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4707405Z - aten_name: 2023-07-07T20:05:31.4707538Z - function_overloads: 2023-07-07T20:05:31.4707669Z - onnx_args: 2023-07-07T20:05:31.4707787Z - onnx_kwargs: 2023-07-07T20:05:31.4708088Z - diagnostic_context: 2023-07-07T20:05:31.4708274Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4708550Z [2023-07-07 20:00:26,846] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_123]. 2023-07-07T20:05:31.4708727Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4708732Z 2023-07-07T20:05:31.4708929Z [2023-07-07 20:00:26,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4709129Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4709135Z 2023-07-07T20:05:31.4709305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4709573Z - self: 2023-07-07T20:05:31.4709777Z - node: fx.Node(unsqueeze_123[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4709893Z - aten_name: 2023-07-07T20:05:31.4710026Z - function_overloads: 2023-07-07T20:05:31.4710141Z - onnx_args: 2023-07-07T20:05:31.4710256Z - onnx_kwargs: 2023-07-07T20:05:31.4710557Z - diagnostic_context: 2023-07-07T20:05:31.4710700Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4710976Z [2023-07-07 20:00:26,861] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_124]. 2023-07-07T20:05:31.4711115Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4711120Z 2023-07-07T20:05:31.4711315Z [2023-07-07 20:00:26,861] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4711516Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4711521Z 2023-07-07T20:05:31.4711702Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4711976Z - self: 2023-07-07T20:05:31.4712182Z - node: fx.Node(unsqueeze_124[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4712283Z - aten_name: 2023-07-07T20:05:31.4712414Z - function_overloads: 2023-07-07T20:05:31.4712529Z - onnx_args: 2023-07-07T20:05:31.4712645Z - onnx_kwargs: 2023-07-07T20:05:31.4712952Z - diagnostic_context: 2023-07-07T20:05:31.4713111Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4713388Z [2023-07-07 20:00:26,863] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_125]. 2023-07-07T20:05:31.4713530Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4713535Z 2023-07-07T20:05:31.4713719Z [2023-07-07 20:00:26,863] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4713954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4713962Z 2023-07-07T20:05:31.4714145Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4714411Z - self: 2023-07-07T20:05:31.4714685Z - node: fx.Node(unsqueeze_125[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4714805Z - aten_name: 2023-07-07T20:05:31.4714936Z - function_overloads: 2023-07-07T20:05:31.4715052Z - onnx_args: 2023-07-07T20:05:31.4715154Z - onnx_kwargs: 2023-07-07T20:05:31.4715499Z - diagnostic_context: 2023-07-07T20:05:31.4715656Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4715966Z [2023-07-07 20:00:26,878] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_126]. 2023-07-07T20:05:31.4716128Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4716171Z 2023-07-07T20:05:31.4716421Z [2023-07-07 20:00:26,878] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4716627Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4716633Z 2023-07-07T20:05:31.4716814Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4717137Z - self: 2023-07-07T20:05:31.4717338Z - node: fx.Node(unsqueeze_126[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4717452Z - aten_name: 2023-07-07T20:05:31.4717584Z - function_overloads: 2023-07-07T20:05:31.4717701Z - onnx_args: 2023-07-07T20:05:31.4717894Z - onnx_kwargs: 2023-07-07T20:05:31.4718350Z - diagnostic_context: 2023-07-07T20:05:31.4718598Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4719005Z [2023-07-07 20:00:26,913] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_127]. 2023-07-07T20:05:31.4719217Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4719226Z 2023-07-07T20:05:31.4719522Z [2023-07-07 20:00:26,913] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4719824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4719835Z 2023-07-07T20:05:31.4720108Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4720514Z - self: 2023-07-07T20:05:31.4720831Z - node: fx.Node(unsqueeze_127[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4721005Z - aten_name: 2023-07-07T20:05:31.4721208Z - function_overloads: 2023-07-07T20:05:31.4721368Z - onnx_args: 2023-07-07T20:05:31.4721544Z - onnx_kwargs: 2023-07-07T20:05:31.4722003Z - diagnostic_context: 2023-07-07T20:05:31.4722242Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4722674Z [2023-07-07 20:00:26,920] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.4722892Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4722903Z 2023-07-07T20:05:31.4723201Z [2023-07-07 20:00:26,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4723552Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4723564Z 2023-07-07T20:05:31.4723839Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4724233Z - self: 2023-07-07T20:05:31.4724665Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4724841Z - aten_name: 2023-07-07T20:05:31.4725039Z - function_overloads: 2023-07-07T20:05:31.4725213Z - onnx_args: 2023-07-07T20:05:31.4725407Z - onnx_kwargs: 2023-07-07T20:05:31.4725869Z - diagnostic_context: 2023-07-07T20:05:31.4726253Z - Return value: 2023-07-07T20:05:31.4726695Z [2023-07-07 20:00:26,935] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.4726959Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4727286Z [2023-07-07 20:00:26,936] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4727441Z ### Exception log 2023-07-07T20:05:31.4727536Z ``` 2023-07-07T20:05:31.4727681Z Traceback (most recent call last): 2023-07-07T20:05:31.4727690Z 2023-07-07T20:05:31.4728207Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4728382Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4728405Z 2023-07-07T20:05:31.4728806Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4728950Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4728958Z 2023-07-07T20:05:31.4729439Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4729586Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4729594Z 2023-07-07T20:05:31.4729991Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4730193Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4730201Z 2023-07-07T20:05:31.4730636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4730841Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4730849Z 2023-07-07T20:05:31.4731353Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4731453Z result = op.Conv( 2023-07-07T20:05:31.4731460Z 2023-07-07T20:05:31.4731902Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4732010Z return op( 2023-07-07T20:05:31.4732018Z 2023-07-07T20:05:31.4732412Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4732603Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4732611Z 2023-07-07T20:05:31.4733005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4733199Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4733207Z 2023-07-07T20:05:31.4733601Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4733791Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4733799Z 2023-07-07T20:05:31.4734203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4734519Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4734528Z 2023-07-07T20:05:31.4734921Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4735054Z node.attribute.extend( 2023-07-07T20:05:31.4735062Z 2023-07-07T20:05:31.4735444Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4735574Z make_attribute(key, value) 2023-07-07T20:05:31.4735582Z 2023-07-07T20:05:31.4735984Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4736101Z raise ValueError( 2023-07-07T20:05:31.4736109Z 2023-07-07T20:05:31.4736402Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4736411Z 2023-07-07T20:05:31.4736501Z ``` 2023-07-07T20:05:31.4736703Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4737170Z - diagnostic_context: 2023-07-07T20:05:31.4737532Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4737848Z - symbolic_fn: 2023-07-07T20:05:31.4738026Z - torch_args: 2023-07-07T20:05:31.4738206Z - torch_kwargs: 2023-07-07T20:05:31.4738399Z - Return value: 2023-07-07T20:05:31.4738879Z [2023-07-07 20:00:26,950] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_32]. 2023-07-07T20:05:31.4739105Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4739117Z 2023-07-07T20:05:31.4739413Z [2023-07-07 20:00:26,950] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4739720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4739731Z 2023-07-07T20:05:31.4740007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4740415Z - self: 2023-07-07T20:05:31.4740784Z - node: fx.Node(convert_element_type_32[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4740958Z - aten_name: 2023-07-07T20:05:31.4741157Z - function_overloads: 2023-07-07T20:05:31.4741321Z - onnx_args: 2023-07-07T20:05:31.4741497Z - onnx_kwargs: 2023-07-07T20:05:31.4741962Z - diagnostic_context: 2023-07-07T20:05:31.4742244Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4742721Z [2023-07-07 20:00:26,960] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_33]. 2023-07-07T20:05:31.4742919Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4742928Z 2023-07-07T20:05:31.4743230Z [2023-07-07 20:00:26,960] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4743517Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4743527Z 2023-07-07T20:05:31.4743793Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4744075Z - self: 2023-07-07T20:05:31.4744321Z - node: fx.Node(convert_element_type_33[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4744434Z - aten_name: 2023-07-07T20:05:31.4744565Z - function_overloads: 2023-07-07T20:05:31.4744681Z - onnx_args: 2023-07-07T20:05:31.4744800Z - onnx_kwargs: 2023-07-07T20:05:31.4745149Z - diagnostic_context: 2023-07-07T20:05:31.4745335Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4745575Z [2023-07-07 20:00:26,978] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_16]. 2023-07-07T20:05:31.4745708Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4745893Z [2023-07-07 20:00:26,978] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4745967Z ### Exception log 2023-07-07T20:05:31.4746028Z ``` 2023-07-07T20:05:31.4746123Z Traceback (most recent call last): 2023-07-07T20:05:31.4746129Z 2023-07-07T20:05:31.4746501Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4746588Z torch.testing.assert_close( 2023-07-07T20:05:31.4746636Z 2023-07-07T20:05:31.4746910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4747034Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4747040Z 2023-07-07T20:05:31.4747195Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4747201Z 2023-07-07T20:05:31.4747293Z Mismatched elements: 24 / 48 (50.0%) 2023-07-07T20:05:31.4747427Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.4747562Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4747567Z 2023-07-07T20:05:31.4747627Z ``` 2023-07-07T20:05:31.4747746Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4748041Z - diagnostic_context: 2023-07-07T20:05:31.4748222Z - node: fx.Node(sqrt_16[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4748366Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4748487Z - torch_args: 2023-07-07T20:05:31.4748606Z - torch_kwargs: 2023-07-07T20:05:31.4748733Z - Return value: 2023-07-07T20:05:31.4748991Z [2023-07-07 20:00:26,983] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_16]. 2023-07-07T20:05:31.4749120Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4749138Z 2023-07-07T20:05:31.4749320Z [2023-07-07 20:00:26,983] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4749521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4749527Z 2023-07-07T20:05:31.4749712Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4749979Z - self: 2023-07-07T20:05:31.4750168Z - node: fx.Node(tensor_int_16[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4750283Z - aten_name: 2023-07-07T20:05:31.4750413Z - function_overloads: 2023-07-07T20:05:31.4750531Z - onnx_args: 2023-07-07T20:05:31.4750634Z - onnx_kwargs: 2023-07-07T20:05:31.4750935Z - diagnostic_context: 2023-07-07T20:05:31.4751092Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4751367Z [2023-07-07 20:00:27,012] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_128]. 2023-07-07T20:05:31.4751508Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4751514Z 2023-07-07T20:05:31.4751711Z [2023-07-07 20:00:27,012] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4751911Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4751919Z 2023-07-07T20:05:31.4752134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4752404Z - self: 2023-07-07T20:05:31.4752599Z - node: fx.Node(unsqueeze_128[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4752711Z - aten_name: 2023-07-07T20:05:31.4752841Z - function_overloads: 2023-07-07T20:05:31.4752957Z - onnx_args: 2023-07-07T20:05:31.4753074Z - onnx_kwargs: 2023-07-07T20:05:31.4753378Z - diagnostic_context: 2023-07-07T20:05:31.4753534Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4753831Z [2023-07-07 20:00:27,015] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_129]. 2023-07-07T20:05:31.4753976Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4754009Z 2023-07-07T20:05:31.4754206Z [2023-07-07 20:00:27,015] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4754410Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4754444Z 2023-07-07T20:05:31.4754702Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4754977Z - self: 2023-07-07T20:05:31.4755183Z - node: fx.Node(unsqueeze_129[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4755296Z - aten_name: 2023-07-07T20:05:31.4755426Z - function_overloads: 2023-07-07T20:05:31.4755532Z - onnx_args: 2023-07-07T20:05:31.4755649Z - onnx_kwargs: 2023-07-07T20:05:31.4755950Z - diagnostic_context: 2023-07-07T20:05:31.4756109Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4756389Z [2023-07-07 20:00:27,027] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_130]. 2023-07-07T20:05:31.4756530Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4756535Z 2023-07-07T20:05:31.4762373Z [2023-07-07 20:00:27,027] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4762616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4762624Z 2023-07-07T20:05:31.4762817Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4763117Z - self: 2023-07-07T20:05:31.4763318Z - node: fx.Node(unsqueeze_130[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4763437Z - aten_name: 2023-07-07T20:05:31.4763572Z - function_overloads: 2023-07-07T20:05:31.4763692Z - onnx_args: 2023-07-07T20:05:31.4763810Z - onnx_kwargs: 2023-07-07T20:05:31.4764125Z - diagnostic_context: 2023-07-07T20:05:31.4764283Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4764721Z [2023-07-07 20:00:27,030] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_131]. 2023-07-07T20:05:31.4764854Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4764861Z 2023-07-07T20:05:31.4765065Z [2023-07-07 20:00:27,030] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4765276Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4765282Z 2023-07-07T20:05:31.4765474Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4765866Z - self: 2023-07-07T20:05:31.4766075Z - node: fx.Node(unsqueeze_131[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4766197Z - aten_name: 2023-07-07T20:05:31.4766331Z - function_overloads: 2023-07-07T20:05:31.4766434Z - onnx_args: 2023-07-07T20:05:31.4766554Z - onnx_kwargs: 2023-07-07T20:05:31.4766859Z - diagnostic_context: 2023-07-07T20:05:31.4767020Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4767342Z [2023-07-07 20:00:27,053] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_132]. 2023-07-07T20:05:31.4767490Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4767495Z 2023-07-07T20:05:31.4767695Z [2023-07-07 20:00:27,053] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4767941Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4768027Z 2023-07-07T20:05:31.4768213Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4768469Z - self: 2023-07-07T20:05:31.4768675Z - node: fx.Node(unsqueeze_132[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4768790Z - aten_name: 2023-07-07T20:05:31.4768922Z - function_overloads: 2023-07-07T20:05:31.4769038Z - onnx_args: 2023-07-07T20:05:31.4769158Z - onnx_kwargs: 2023-07-07T20:05:31.4769467Z - diagnostic_context: 2023-07-07T20:05:31.4769611Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4769896Z [2023-07-07 20:00:27,066] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_133]. 2023-07-07T20:05:31.4770040Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4770048Z 2023-07-07T20:05:31.4770253Z [2023-07-07 20:00:27,066] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4770458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4770464Z 2023-07-07T20:05:31.4770649Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4770917Z - self: 2023-07-07T20:05:31.4771128Z - node: fx.Node(unsqueeze_133[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4771243Z - aten_name: 2023-07-07T20:05:31.4771362Z - function_overloads: 2023-07-07T20:05:31.4771481Z - onnx_args: 2023-07-07T20:05:31.4771599Z - onnx_kwargs: 2023-07-07T20:05:31.4771907Z - diagnostic_context: 2023-07-07T20:05:31.4772066Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4772345Z [2023-07-07 20:00:27,073] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_134]. 2023-07-07T20:05:31.4772488Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4772494Z 2023-07-07T20:05:31.4772693Z [2023-07-07 20:00:27,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4772884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4772890Z 2023-07-07T20:05:31.4773079Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4773348Z - self: 2023-07-07T20:05:31.4773589Z - node: fx.Node(unsqueeze_134[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4773707Z - aten_name: 2023-07-07T20:05:31.4773843Z - function_overloads: 2023-07-07T20:05:31.4773962Z - onnx_args: 2023-07-07T20:05:31.4774080Z - onnx_kwargs: 2023-07-07T20:05:31.4774371Z - diagnostic_context: 2023-07-07T20:05:31.4774528Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4774810Z [2023-07-07 20:00:27,076] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_135]. 2023-07-07T20:05:31.4774952Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4774986Z 2023-07-07T20:05:31.4775184Z [2023-07-07 20:00:27,076] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4775389Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4775435Z 2023-07-07T20:05:31.4775621Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4775929Z - self: 2023-07-07T20:05:31.4776136Z - node: fx.Node(unsqueeze_135[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4776237Z - aten_name: 2023-07-07T20:05:31.4776370Z - function_overloads: 2023-07-07T20:05:31.4776486Z - onnx_args: 2023-07-07T20:05:31.4776605Z - onnx_kwargs: 2023-07-07T20:05:31.4776908Z - diagnostic_context: 2023-07-07T20:05:31.4777071Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4777361Z [2023-07-07 20:00:27,094] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.4777499Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4777506Z 2023-07-07T20:05:31.4777704Z [2023-07-07 20:00:27,094] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4777909Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4777915Z 2023-07-07T20:05:31.4778098Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4778368Z - self: 2023-07-07T20:05:31.4778584Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4778699Z - aten_name: 2023-07-07T20:05:31.4778834Z - function_overloads: 2023-07-07T20:05:31.4778938Z - onnx_args: 2023-07-07T20:05:31.4779054Z - onnx_kwargs: 2023-07-07T20:05:31.4779362Z - diagnostic_context: 2023-07-07T20:05:31.4779574Z - Return value: 2023-07-07T20:05:31.4779859Z [2023-07-07 20:00:27,108] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.4780005Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4780208Z [2023-07-07 20:00:27,108] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4780287Z ### Exception log 2023-07-07T20:05:31.4780335Z ``` 2023-07-07T20:05:31.4780433Z Traceback (most recent call last): 2023-07-07T20:05:31.4780439Z 2023-07-07T20:05:31.4780775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4780898Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4780904Z 2023-07-07T20:05:31.4781201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4781298Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4781306Z 2023-07-07T20:05:31.4781627Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4781725Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4781730Z 2023-07-07T20:05:31.4781989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4782113Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4782134Z 2023-07-07T20:05:31.4782423Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4782563Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4782568Z 2023-07-07T20:05:31.4782956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4783037Z result = op.Conv( 2023-07-07T20:05:31.4783069Z 2023-07-07T20:05:31.4783358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4783432Z return op( 2023-07-07T20:05:31.4783437Z 2023-07-07T20:05:31.4783696Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4783827Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4783833Z 2023-07-07T20:05:31.4784095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4784215Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4784234Z 2023-07-07T20:05:31.4784482Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4784614Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4784619Z 2023-07-07T20:05:31.4784890Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4785067Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4785073Z 2023-07-07T20:05:31.4785328Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4785425Z node.attribute.extend( 2023-07-07T20:05:31.4785431Z 2023-07-07T20:05:31.4785686Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4785779Z make_attribute(key, value) 2023-07-07T20:05:31.4785785Z 2023-07-07T20:05:31.4786047Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4786116Z raise ValueError( 2023-07-07T20:05:31.4786124Z 2023-07-07T20:05:31.4786300Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4786308Z 2023-07-07T20:05:31.4786373Z ``` 2023-07-07T20:05:31.4786501Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4786810Z - diagnostic_context: 2023-07-07T20:05:31.4787030Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4787241Z - symbolic_fn: 2023-07-07T20:05:31.4787363Z - torch_args: 2023-07-07T20:05:31.4787472Z - torch_kwargs: 2023-07-07T20:05:31.4787604Z - Return value: 2023-07-07T20:05:31.4787920Z [2023-07-07 20:00:27,113] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_34]. 2023-07-07T20:05:31.4788114Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4788120Z 2023-07-07T20:05:31.4788320Z [2023-07-07 20:00:27,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4788525Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4788531Z 2023-07-07T20:05:31.4788717Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4788985Z - self: 2023-07-07T20:05:31.4789229Z - node: fx.Node(convert_element_type_34[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4789331Z - aten_name: 2023-07-07T20:05:31.4789498Z - function_overloads: 2023-07-07T20:05:31.4789618Z - onnx_args: 2023-07-07T20:05:31.4789737Z - onnx_kwargs: 2023-07-07T20:05:31.4790073Z - diagnostic_context: 2023-07-07T20:05:31.4790258Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4790596Z [2023-07-07 20:00:27,116] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_35]. 2023-07-07T20:05:31.4790742Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4790764Z 2023-07-07T20:05:31.4790948Z [2023-07-07 20:00:27,116] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4791150Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4791157Z 2023-07-07T20:05:31.4791343Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4791615Z - self: 2023-07-07T20:05:31.4791862Z - node: fx.Node(convert_element_type_35[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4791978Z - aten_name: 2023-07-07T20:05:31.4792114Z - function_overloads: 2023-07-07T20:05:31.4792232Z - onnx_args: 2023-07-07T20:05:31.4792335Z - onnx_kwargs: 2023-07-07T20:05:31.4792638Z - diagnostic_context: 2023-07-07T20:05:31.4792824Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4793076Z [2023-07-07 20:00:27,125] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_17]. 2023-07-07T20:05:31.4793210Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4793400Z [2023-07-07 20:00:27,125] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4793467Z ### Exception log 2023-07-07T20:05:31.4793531Z ``` 2023-07-07T20:05:31.4793627Z Traceback (most recent call last): 2023-07-07T20:05:31.4793635Z 2023-07-07T20:05:31.4793968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4794067Z torch.testing.assert_close( 2023-07-07T20:05:31.4794072Z 2023-07-07T20:05:31.4794356Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4794450Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4794456Z 2023-07-07T20:05:31.4794693Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4794701Z 2023-07-07T20:05:31.4794783Z Mismatched elements: 26 / 48 (54.2%) 2023-07-07T20:05:31.4794920Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4795060Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4795065Z 2023-07-07T20:05:31.4795127Z ``` 2023-07-07T20:05:31.4795248Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4795598Z - diagnostic_context: 2023-07-07T20:05:31.4795783Z - node: fx.Node(sqrt_17[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4795925Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4796030Z - torch_args: 2023-07-07T20:05:31.4796148Z - torch_kwargs: 2023-07-07T20:05:31.4796277Z - Return value: 2023-07-07T20:05:31.4796537Z [2023-07-07 20:00:27,128] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_17]. 2023-07-07T20:05:31.4796680Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4796685Z 2023-07-07T20:05:31.4796912Z [2023-07-07 20:00:27,128] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4797119Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4797152Z 2023-07-07T20:05:31.4797339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4797606Z - self: 2023-07-07T20:05:31.4797813Z - node: fx.Node(tensor_int_17[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4797926Z - aten_name: 2023-07-07T20:05:31.4798060Z - function_overloads: 2023-07-07T20:05:31.4798177Z - onnx_args: 2023-07-07T20:05:31.4798293Z - onnx_kwargs: 2023-07-07T20:05:31.4798598Z - diagnostic_context: 2023-07-07T20:05:31.4798755Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4799023Z [2023-07-07 20:00:27,142] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_136]. 2023-07-07T20:05:31.4799166Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4799174Z 2023-07-07T20:05:31.4799373Z [2023-07-07 20:00:27,142] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4799576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4799585Z 2023-07-07T20:05:31.4799768Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4800035Z - self: 2023-07-07T20:05:31.4800239Z - node: fx.Node(unsqueeze_136[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4800353Z - aten_name: 2023-07-07T20:05:31.4800484Z - function_overloads: 2023-07-07T20:05:31.4800589Z - onnx_args: 2023-07-07T20:05:31.4800705Z - onnx_kwargs: 2023-07-07T20:05:31.4801010Z - diagnostic_context: 2023-07-07T20:05:31.4801169Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4801447Z [2023-07-07 20:00:27,145] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_137]. 2023-07-07T20:05:31.4801591Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4801596Z 2023-07-07T20:05:31.4801794Z [2023-07-07 20:00:27,145] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4801994Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4802000Z 2023-07-07T20:05:31.4802168Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4802436Z - self: 2023-07-07T20:05:31.4802642Z - node: fx.Node(unsqueeze_137[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4802756Z - aten_name: 2023-07-07T20:05:31.4802890Z - function_overloads: 2023-07-07T20:05:31.4803035Z - onnx_args: 2023-07-07T20:05:31.4803153Z - onnx_kwargs: 2023-07-07T20:05:31.4803446Z - diagnostic_context: 2023-07-07T20:05:31.4803604Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4803881Z [2023-07-07 20:00:27,148] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_138]. 2023-07-07T20:05:31.4804022Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4804027Z 2023-07-07T20:05:31.4804222Z [2023-07-07 20:00:27,148] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4804714Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4804723Z 2023-07-07T20:05:31.4804913Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4805230Z - self: 2023-07-07T20:05:31.4805436Z - node: fx.Node(unsqueeze_138[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4805577Z - aten_name: 2023-07-07T20:05:31.4805709Z - function_overloads: 2023-07-07T20:05:31.4805825Z - onnx_args: 2023-07-07T20:05:31.4805941Z - onnx_kwargs: 2023-07-07T20:05:31.4806243Z - diagnostic_context: 2023-07-07T20:05:31.4806401Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4806678Z [2023-07-07 20:00:27,151] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_139]. 2023-07-07T20:05:31.4806821Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4806826Z 2023-07-07T20:05:31.4807010Z [2023-07-07 20:00:27,151] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4807217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4807224Z 2023-07-07T20:05:31.4807406Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4807673Z - self: 2023-07-07T20:05:31.4807876Z - node: fx.Node(unsqueeze_139[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4807989Z - aten_name: 2023-07-07T20:05:31.4808121Z - function_overloads: 2023-07-07T20:05:31.4808236Z - onnx_args: 2023-07-07T20:05:31.4808339Z - onnx_kwargs: 2023-07-07T20:05:31.4808645Z - diagnostic_context: 2023-07-07T20:05:31.4808799Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4809081Z [2023-07-07 20:00:27,165] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_140]. 2023-07-07T20:05:31.4809222Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4809230Z 2023-07-07T20:05:31.4809426Z [2023-07-07 20:00:27,165] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4809628Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4809634Z 2023-07-07T20:05:31.4809815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4810081Z - self: 2023-07-07T20:05:31.4810274Z - node: fx.Node(unsqueeze_140[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4810387Z - aten_name: 2023-07-07T20:05:31.4810518Z - function_overloads: 2023-07-07T20:05:31.4810633Z - onnx_args: 2023-07-07T20:05:31.4810752Z - onnx_kwargs: 2023-07-07T20:05:31.4811091Z - diagnostic_context: 2023-07-07T20:05:31.4811251Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4811518Z [2023-07-07 20:00:27,168] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_141]. 2023-07-07T20:05:31.4811658Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4811664Z 2023-07-07T20:05:31.4811859Z [2023-07-07 20:00:27,168] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4812060Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4812065Z 2023-07-07T20:05:31.4812278Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4812547Z - self: 2023-07-07T20:05:31.4812785Z - node: fx.Node(unsqueeze_141[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4812896Z - aten_name: 2023-07-07T20:05:31.4813060Z - function_overloads: 2023-07-07T20:05:31.4813162Z - onnx_args: 2023-07-07T20:05:31.4813295Z - onnx_kwargs: 2023-07-07T20:05:31.4813594Z - diagnostic_context: 2023-07-07T20:05:31.4813748Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4814023Z [2023-07-07 20:00:27,176] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_142]. 2023-07-07T20:05:31.4814165Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4814170Z 2023-07-07T20:05:31.4814367Z [2023-07-07 20:00:27,176] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4814570Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4814580Z 2023-07-07T20:05:31.4814749Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4815017Z - self: 2023-07-07T20:05:31.4815220Z - node: fx.Node(unsqueeze_142[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4815331Z - aten_name: 2023-07-07T20:05:31.4815461Z - function_overloads: 2023-07-07T20:05:31.4815575Z - onnx_args: 2023-07-07T20:05:31.4815691Z - onnx_kwargs: 2023-07-07T20:05:31.4815991Z - diagnostic_context: 2023-07-07T20:05:31.4816135Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4816414Z [2023-07-07 20:00:27,178] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_143]. 2023-07-07T20:05:31.4816558Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4816564Z 2023-07-07T20:05:31.4816758Z [2023-07-07 20:00:27,178] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4816961Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4816967Z 2023-07-07T20:05:31.4817149Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4817415Z - self: 2023-07-07T20:05:31.4817619Z - node: fx.Node(unsqueeze_143[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4817732Z - aten_name: 2023-07-07T20:05:31.4817853Z - function_overloads: 2023-07-07T20:05:31.4817967Z - onnx_args: 2023-07-07T20:05:31.4818083Z - onnx_kwargs: 2023-07-07T20:05:31.4818386Z - diagnostic_context: 2023-07-07T20:05:31.4818575Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4818859Z [2023-07-07 20:00:27,219] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.4819005Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4819011Z 2023-07-07T20:05:31.4819193Z [2023-07-07 20:00:27,219] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4819395Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4819400Z 2023-07-07T20:05:31.4819581Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4819877Z - self: 2023-07-07T20:05:31.4820093Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4820240Z - aten_name: 2023-07-07T20:05:31.4820373Z - function_overloads: 2023-07-07T20:05:31.4820487Z - onnx_args: 2023-07-07T20:05:31.4820618Z - onnx_kwargs: 2023-07-07T20:05:31.4820920Z - diagnostic_context: 2023-07-07T20:05:31.4821129Z - Return value: 2023-07-07T20:05:31.4821408Z [2023-07-07 20:00:27,228] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.4821552Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4821753Z [2023-07-07 20:00:27,228] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4821829Z ### Exception log 2023-07-07T20:05:31.4821890Z ``` 2023-07-07T20:05:31.4821972Z Traceback (most recent call last): 2023-07-07T20:05:31.4821978Z 2023-07-07T20:05:31.4822313Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4822434Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4822442Z 2023-07-07T20:05:31.4822700Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4822794Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4822799Z 2023-07-07T20:05:31.4823115Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4823210Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4823215Z 2023-07-07T20:05:31.4823475Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4823611Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4823618Z 2023-07-07T20:05:31.4823895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4824020Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4824027Z 2023-07-07T20:05:31.4824353Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4824428Z result = op.Conv( 2023-07-07T20:05:31.4824433Z 2023-07-07T20:05:31.4824717Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4824787Z return op( 2023-07-07T20:05:31.4824792Z 2023-07-07T20:05:31.4825047Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4825175Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4825180Z 2023-07-07T20:05:31.4825472Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4825605Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4825612Z 2023-07-07T20:05:31.4825870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4825982Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4825987Z 2023-07-07T20:05:31.4826254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4826428Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4826434Z 2023-07-07T20:05:31.4826713Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4826806Z node.attribute.extend( 2023-07-07T20:05:31.4826812Z 2023-07-07T20:05:31.4827066Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4827218Z make_attribute(key, value) 2023-07-07T20:05:31.4827224Z 2023-07-07T20:05:31.4827519Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4827599Z raise ValueError( 2023-07-07T20:05:31.4827604Z 2023-07-07T20:05:31.4827764Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4827785Z 2023-07-07T20:05:31.4827833Z ``` 2023-07-07T20:05:31.4827954Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4828258Z - diagnostic_context: 2023-07-07T20:05:31.4828477Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4828689Z - symbolic_fn: 2023-07-07T20:05:31.4828806Z - torch_args: 2023-07-07T20:05:31.4828929Z - torch_kwargs: 2023-07-07T20:05:31.4829049Z - Return value: 2023-07-07T20:05:31.4829359Z [2023-07-07 20:00:27,233] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_36]. 2023-07-07T20:05:31.4829521Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4829527Z 2023-07-07T20:05:31.4829722Z [2023-07-07 20:00:27,233] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4829927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4829933Z 2023-07-07T20:05:31.4830115Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4830380Z - self: 2023-07-07T20:05:31.4830620Z - node: fx.Node(convert_element_type_36[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4830737Z - aten_name: 2023-07-07T20:05:31.4830856Z - function_overloads: 2023-07-07T20:05:31.4830973Z - onnx_args: 2023-07-07T20:05:31.4831089Z - onnx_kwargs: 2023-07-07T20:05:31.4831391Z - diagnostic_context: 2023-07-07T20:05:31.4831572Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4831875Z [2023-07-07 20:00:27,237] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_37]. 2023-07-07T20:05:31.4832034Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4832040Z 2023-07-07T20:05:31.4832237Z [2023-07-07 20:00:27,237] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4832427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4832447Z 2023-07-07T20:05:31.4832648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4832917Z - self: 2023-07-07T20:05:31.4833155Z - node: fx.Node(convert_element_type_37[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4833268Z - aten_name: 2023-07-07T20:05:31.4833399Z - function_overloads: 2023-07-07T20:05:31.4833513Z - onnx_args: 2023-07-07T20:05:31.4833628Z - onnx_kwargs: 2023-07-07T20:05:31.4833918Z - diagnostic_context: 2023-07-07T20:05:31.4834136Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4834389Z [2023-07-07 20:00:27,245] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_18]. 2023-07-07T20:05:31.4834551Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4834827Z [2023-07-07 20:00:27,246] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4834903Z ### Exception log 2023-07-07T20:05:31.4834997Z ``` 2023-07-07T20:05:31.4835080Z Traceback (most recent call last): 2023-07-07T20:05:31.4835099Z 2023-07-07T20:05:31.4835417Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4835512Z torch.testing.assert_close( 2023-07-07T20:05:31.4835517Z 2023-07-07T20:05:31.4835798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4835890Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4835898Z 2023-07-07T20:05:31.4836055Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4836061Z 2023-07-07T20:05:31.4836152Z Mismatched elements: 24 / 48 (50.0%) 2023-07-07T20:05:31.4836293Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4836431Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4836438Z 2023-07-07T20:05:31.4836497Z ``` 2023-07-07T20:05:31.4836606Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4836909Z - diagnostic_context: 2023-07-07T20:05:31.4837088Z - node: fx.Node(sqrt_18[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4837229Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4837346Z - torch_args: 2023-07-07T20:05:31.4837464Z - torch_kwargs: 2023-07-07T20:05:31.4837592Z - Return value: 2023-07-07T20:05:31.4837841Z [2023-07-07 20:00:27,249] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_18]. 2023-07-07T20:05:31.4837982Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4837990Z 2023-07-07T20:05:31.4838185Z [2023-07-07 20:00:27,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4838388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4838396Z 2023-07-07T20:05:31.4838578Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4838845Z - self: 2023-07-07T20:05:31.4839031Z - node: fx.Node(tensor_int_18[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4839145Z - aten_name: 2023-07-07T20:05:31.4839264Z - function_overloads: 2023-07-07T20:05:31.4839379Z - onnx_args: 2023-07-07T20:05:31.4839496Z - onnx_kwargs: 2023-07-07T20:05:31.4839801Z - diagnostic_context: 2023-07-07T20:05:31.4839958Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4840268Z [2023-07-07 20:00:27,262] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_144]. 2023-07-07T20:05:31.4840411Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4840416Z 2023-07-07T20:05:31.4840616Z [2023-07-07 20:00:27,262] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4840806Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4840823Z 2023-07-07T20:05:31.4840993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4841290Z - self: 2023-07-07T20:05:31.4841499Z - node: fx.Node(unsqueeze_144[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4841612Z - aten_name: 2023-07-07T20:05:31.4841778Z - function_overloads: 2023-07-07T20:05:31.4841895Z - onnx_args: 2023-07-07T20:05:31.4842010Z - onnx_kwargs: 2023-07-07T20:05:31.4842338Z - diagnostic_context: 2023-07-07T20:05:31.4842494Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4842772Z [2023-07-07 20:00:27,265] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_145]. 2023-07-07T20:05:31.4842915Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4842920Z 2023-07-07T20:05:31.4843117Z [2023-07-07 20:00:27,265] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4843320Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4843325Z 2023-07-07T20:05:31.4843509Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4843782Z - self: 2023-07-07T20:05:31.4843988Z - node: fx.Node(unsqueeze_145[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4844090Z - aten_name: 2023-07-07T20:05:31.4844221Z - function_overloads: 2023-07-07T20:05:31.4844337Z - onnx_args: 2023-07-07T20:05:31.4845670Z - onnx_kwargs: 2023-07-07T20:05:31.4846208Z - diagnostic_context: 2023-07-07T20:05:31.4846466Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4846861Z [2023-07-07 20:00:27,268] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_146]. 2023-07-07T20:05:31.4847080Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4847091Z 2023-07-07T20:05:31.4847396Z [2023-07-07 20:00:27,268] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4847677Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4847692Z 2023-07-07T20:05:31.4848110Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4848612Z - self: 2023-07-07T20:05:31.4848993Z - node: fx.Node(unsqueeze_146[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4849196Z - aten_name: 2023-07-07T20:05:31.4849431Z - function_overloads: 2023-07-07T20:05:31.4849628Z - onnx_args: 2023-07-07T20:05:31.4849826Z - onnx_kwargs: 2023-07-07T20:05:31.4850403Z - diagnostic_context: 2023-07-07T20:05:31.4850714Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4851517Z [2023-07-07 20:00:27,271] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_147]. 2023-07-07T20:05:31.4851778Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4851796Z 2023-07-07T20:05:31.4852159Z [2023-07-07 20:00:27,271] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4852548Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4852560Z 2023-07-07T20:05:31.4852870Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4853370Z - self: 2023-07-07T20:05:31.4853756Z - node: fx.Node(unsqueeze_147[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4854085Z - aten_name: 2023-07-07T20:05:31.4854354Z - function_overloads: 2023-07-07T20:05:31.4854652Z - onnx_args: 2023-07-07T20:05:31.4854912Z - onnx_kwargs: 2023-07-07T20:05:31.4855357Z - diagnostic_context: 2023-07-07T20:05:31.4855679Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4856141Z [2023-07-07 20:00:27,285] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_148]. 2023-07-07T20:05:31.4856384Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4856395Z 2023-07-07T20:05:31.4856746Z [2023-07-07 20:00:27,285] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4857076Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4857087Z 2023-07-07T20:05:31.4857405Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4857843Z - self: 2023-07-07T20:05:31.4858242Z - node: fx.Node(unsqueeze_148[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4858455Z - aten_name: 2023-07-07T20:05:31.4858702Z - function_overloads: 2023-07-07T20:05:31.4858889Z - onnx_args: 2023-07-07T20:05:31.4859098Z - onnx_kwargs: 2023-07-07T20:05:31.4859676Z - diagnostic_context: 2023-07-07T20:05:31.4859967Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4860461Z [2023-07-07 20:00:27,288] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_149]. 2023-07-07T20:05:31.4860724Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4860735Z 2023-07-07T20:05:31.4861104Z [2023-07-07 20:00:27,288] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4861480Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4861493Z 2023-07-07T20:05:31.4861802Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4862302Z - self: 2023-07-07T20:05:31.4862677Z - node: fx.Node(unsqueeze_149[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4862887Z - aten_name: 2023-07-07T20:05:31.4863117Z - function_overloads: 2023-07-07T20:05:31.4863326Z - onnx_args: 2023-07-07T20:05:31.4863500Z - onnx_kwargs: 2023-07-07T20:05:31.4863971Z - diagnostic_context: 2023-07-07T20:05:31.4864203Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4864665Z [2023-07-07 20:00:27,296] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_150]. 2023-07-07T20:05:31.4864873Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4864979Z 2023-07-07T20:05:31.4865311Z [2023-07-07 20:00:27,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4865674Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4865686Z 2023-07-07T20:05:31.4865986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4866410Z - self: 2023-07-07T20:05:31.4866745Z - node: fx.Node(unsqueeze_150[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4866925Z - aten_name: 2023-07-07T20:05:31.4867240Z - function_overloads: 2023-07-07T20:05:31.4867438Z - onnx_args: 2023-07-07T20:05:31.4867640Z - onnx_kwargs: 2023-07-07T20:05:31.4868218Z - diagnostic_context: 2023-07-07T20:05:31.4868543Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4868999Z [2023-07-07 20:00:27,298] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_151]. 2023-07-07T20:05:31.4869299Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4869310Z 2023-07-07T20:05:31.4869645Z [2023-07-07 20:00:27,299] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4870019Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4870027Z 2023-07-07T20:05:31.4870308Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4870829Z - self: 2023-07-07T20:05:31.4871198Z - node: fx.Node(unsqueeze_151[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4871414Z - aten_name: 2023-07-07T20:05:31.4871659Z - function_overloads: 2023-07-07T20:05:31.4871876Z - onnx_args: 2023-07-07T20:05:31.4872083Z - onnx_kwargs: 2023-07-07T20:05:31.4872671Z - diagnostic_context: 2023-07-07T20:05:31.4872937Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4873421Z [2023-07-07 20:00:27,306] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.4873649Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4873659Z 2023-07-07T20:05:31.4874017Z [2023-07-07 20:00:27,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4874376Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4874387Z 2023-07-07T20:05:31.4874825Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4875270Z - self: 2023-07-07T20:05:31.4875606Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4875775Z - aten_name: 2023-07-07T20:05:31.4875995Z - function_overloads: 2023-07-07T20:05:31.4876183Z - onnx_args: 2023-07-07T20:05:31.4876392Z - onnx_kwargs: 2023-07-07T20:05:31.4876954Z - diagnostic_context: 2023-07-07T20:05:31.4877346Z - Return value: 2023-07-07T20:05:31.4877876Z [2023-07-07 20:00:27,312] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.4878127Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4878576Z [2023-07-07 20:00:27,312] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4878697Z ### Exception log 2023-07-07T20:05:31.4878793Z ``` 2023-07-07T20:05:31.4878967Z Traceback (most recent call last): 2023-07-07T20:05:31.4878982Z 2023-07-07T20:05:31.4879493Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4879677Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4879685Z 2023-07-07T20:05:31.4880076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4880216Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4880225Z 2023-07-07T20:05:31.4880811Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4880967Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4881018Z 2023-07-07T20:05:31.4881489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4881738Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4881791Z 2023-07-07T20:05:31.4882203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4882397Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4882405Z 2023-07-07T20:05:31.4882924Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4883037Z result = op.Conv( 2023-07-07T20:05:31.4883047Z 2023-07-07T20:05:31.4883522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4883617Z return op( 2023-07-07T20:05:31.4883630Z 2023-07-07T20:05:31.4884062Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4884273Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4884286Z 2023-07-07T20:05:31.4884911Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4885162Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4885179Z 2023-07-07T20:05:31.4885596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4885785Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4885795Z 2023-07-07T20:05:31.4886227Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4886516Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4886528Z 2023-07-07T20:05:31.4886965Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4887086Z node.attribute.extend( 2023-07-07T20:05:31.4887097Z 2023-07-07T20:05:31.4887524Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4887660Z make_attribute(key, value) 2023-07-07T20:05:31.4887668Z 2023-07-07T20:05:31.4888106Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4888230Z raise ValueError( 2023-07-07T20:05:31.4888239Z 2023-07-07T20:05:31.4888526Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4888536Z 2023-07-07T20:05:31.4888648Z ``` 2023-07-07T20:05:31.4888872Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4889363Z - diagnostic_context: 2023-07-07T20:05:31.4889856Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4890258Z - symbolic_fn: 2023-07-07T20:05:31.4890466Z - torch_args: 2023-07-07T20:05:31.4890661Z - torch_kwargs: 2023-07-07T20:05:31.4890896Z - Return value: 2023-07-07T20:05:31.4891442Z [2023-07-07 20:00:27,317] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_38]. 2023-07-07T20:05:31.4891719Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4891730Z 2023-07-07T20:05:31.4892027Z [2023-07-07 20:00:27,317] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4892485Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4892497Z 2023-07-07T20:05:31.4892840Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4893294Z - self: 2023-07-07T20:05:31.4893792Z - node: fx.Node(convert_element_type_38[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4894004Z - aten_name: 2023-07-07T20:05:31.4894245Z - function_overloads: 2023-07-07T20:05:31.4894450Z - onnx_args: 2023-07-07T20:05:31.4894627Z - onnx_kwargs: 2023-07-07T20:05:31.4895095Z - diagnostic_context: 2023-07-07T20:05:31.4895424Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4896003Z [2023-07-07 20:00:27,320] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_39]. 2023-07-07T20:05:31.4896305Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4896320Z 2023-07-07T20:05:31.4896685Z [2023-07-07 20:00:27,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4897072Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4897082Z 2023-07-07T20:05:31.4897364Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4897808Z - self: 2023-07-07T20:05:31.4898225Z - node: fx.Node(convert_element_type_39[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4898404Z - aten_name: 2023-07-07T20:05:31.4898648Z - function_overloads: 2023-07-07T20:05:31.4898864Z - onnx_args: 2023-07-07T20:05:31.4899065Z - onnx_kwargs: 2023-07-07T20:05:31.4899558Z - diagnostic_context: 2023-07-07T20:05:31.4899910Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4900355Z [2023-07-07 20:00:27,328] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_19]. 2023-07-07T20:05:31.4900593Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4900947Z [2023-07-07 20:00:27,328] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4901081Z ### Exception log 2023-07-07T20:05:31.4901195Z ``` 2023-07-07T20:05:31.4901343Z Traceback (most recent call last): 2023-07-07T20:05:31.4901353Z 2023-07-07T20:05:31.4901877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4902016Z torch.testing.assert_close( 2023-07-07T20:05:31.4902024Z 2023-07-07T20:05:31.4902427Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4902557Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4902689Z 2023-07-07T20:05:31.4902909Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4902921Z 2023-07-07T20:05:31.4903070Z Mismatched elements: 20 / 48 (41.7%) 2023-07-07T20:05:31.4903285Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.4903476Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4903484Z 2023-07-07T20:05:31.4903571Z ``` 2023-07-07T20:05:31.4903744Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4904235Z - diagnostic_context: 2023-07-07T20:05:31.4904488Z - node: fx.Node(sqrt_19[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4904796Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4904996Z - torch_args: 2023-07-07T20:05:31.4905189Z - torch_kwargs: 2023-07-07T20:05:31.4905432Z - Return value: 2023-07-07T20:05:31.4905837Z [2023-07-07 20:00:27,331] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_19]. 2023-07-07T20:05:31.4906096Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4906106Z 2023-07-07T20:05:31.4906421Z [2023-07-07 20:00:27,332] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4906719Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4906752Z 2023-07-07T20:05:31.4907032Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4907442Z - self: 2023-07-07T20:05:31.4907730Z - node: fx.Node(tensor_int_19[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4907920Z - aten_name: 2023-07-07T20:05:31.4908126Z - function_overloads: 2023-07-07T20:05:31.4908315Z - onnx_args: 2023-07-07T20:05:31.4908494Z - onnx_kwargs: 2023-07-07T20:05:31.4908950Z - diagnostic_context: 2023-07-07T20:05:31.4909199Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4909679Z [2023-07-07 20:00:27,344] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_152]. 2023-07-07T20:05:31.4909908Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4909920Z 2023-07-07T20:05:31.4910235Z [2023-07-07 20:00:27,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4910579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4910591Z 2023-07-07T20:05:31.4910886Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4911401Z - self: 2023-07-07T20:05:31.4911788Z - node: fx.Node(unsqueeze_152[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4911989Z - aten_name: 2023-07-07T20:05:31.4912230Z - function_overloads: 2023-07-07T20:05:31.4912446Z - onnx_args: 2023-07-07T20:05:31.4912662Z - onnx_kwargs: 2023-07-07T20:05:31.4913236Z - diagnostic_context: 2023-07-07T20:05:31.4913538Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4914061Z [2023-07-07 20:00:27,346] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_153]. 2023-07-07T20:05:31.4914288Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4914311Z 2023-07-07T20:05:31.4914748Z [2023-07-07 20:00:27,347] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4915239Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4915250Z 2023-07-07T20:05:31.4915609Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4916123Z - self: 2023-07-07T20:05:31.4916441Z - node: fx.Node(unsqueeze_153[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4916611Z - aten_name: 2023-07-07T20:05:31.4916823Z - function_overloads: 2023-07-07T20:05:31.4916987Z - onnx_args: 2023-07-07T20:05:31.4917149Z - onnx_kwargs: 2023-07-07T20:05:31.4917707Z - diagnostic_context: 2023-07-07T20:05:31.4917961Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4918382Z [2023-07-07 20:00:27,349] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_154]. 2023-07-07T20:05:31.4918671Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4918729Z 2023-07-07T20:05:31.4919071Z [2023-07-07 20:00:27,349] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4919444Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4919454Z 2023-07-07T20:05:31.4919780Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4920198Z - self: 2023-07-07T20:05:31.4920536Z - node: fx.Node(unsqueeze_154[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4920733Z - aten_name: 2023-07-07T20:05:31.4920950Z - function_overloads: 2023-07-07T20:05:31.4921119Z - onnx_args: 2023-07-07T20:05:31.4921288Z - onnx_kwargs: 2023-07-07T20:05:31.4921738Z - diagnostic_context: 2023-07-07T20:05:31.4921975Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4922409Z [2023-07-07 20:00:27,352] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_155]. 2023-07-07T20:05:31.4922628Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4922639Z 2023-07-07T20:05:31.4922969Z [2023-07-07 20:00:27,352] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4923280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4923290Z 2023-07-07T20:05:31.4923588Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4923981Z - self: 2023-07-07T20:05:31.4924291Z - node: fx.Node(unsqueeze_155[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4924700Z - aten_name: 2023-07-07T20:05:31.4924915Z - function_overloads: 2023-07-07T20:05:31.4925078Z - onnx_args: 2023-07-07T20:05:31.4925267Z - onnx_kwargs: 2023-07-07T20:05:31.4925777Z - diagnostic_context: 2023-07-07T20:05:31.4926044Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4926522Z [2023-07-07 20:00:27,363] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_156]. 2023-07-07T20:05:31.4926757Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4926770Z 2023-07-07T20:05:31.4927134Z [2023-07-07 20:00:27,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4927483Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4927498Z 2023-07-07T20:05:31.4927928Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4928369Z - self: 2023-07-07T20:05:31.4928710Z - node: fx.Node(unsqueeze_156[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4928883Z - aten_name: 2023-07-07T20:05:31.4929080Z - function_overloads: 2023-07-07T20:05:31.4929257Z - onnx_args: 2023-07-07T20:05:31.4929433Z - onnx_kwargs: 2023-07-07T20:05:31.4929890Z - diagnostic_context: 2023-07-07T20:05:31.4930263Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4930687Z [2023-07-07 20:00:27,366] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_157]. 2023-07-07T20:05:31.4930953Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4930969Z 2023-07-07T20:05:31.4931260Z [2023-07-07 20:00:27,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4931632Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4931642Z 2023-07-07T20:05:31.4931910Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4932315Z - self: 2023-07-07T20:05:31.4932624Z - node: fx.Node(unsqueeze_157[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4932766Z - aten_name: 2023-07-07T20:05:31.4932959Z - function_overloads: 2023-07-07T20:05:31.4933132Z - onnx_args: 2023-07-07T20:05:31.4933320Z - onnx_kwargs: 2023-07-07T20:05:31.4933787Z - diagnostic_context: 2023-07-07T20:05:31.4934048Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4934495Z [2023-07-07 20:00:27,373] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_158]. 2023-07-07T20:05:31.4934729Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4934740Z 2023-07-07T20:05:31.4935031Z [2023-07-07 20:00:27,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4935340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4935349Z 2023-07-07T20:05:31.4935654Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4936126Z - self: 2023-07-07T20:05:31.4936495Z - node: fx.Node(unsqueeze_158[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4936682Z - aten_name: 2023-07-07T20:05:31.4936905Z - function_overloads: 2023-07-07T20:05:31.4937088Z - onnx_args: 2023-07-07T20:05:31.4937254Z - onnx_kwargs: 2023-07-07T20:05:31.4937778Z - diagnostic_context: 2023-07-07T20:05:31.4938022Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4938438Z [2023-07-07 20:00:27,376] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_159]. 2023-07-07T20:05:31.4938666Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4938677Z 2023-07-07T20:05:31.4939011Z [2023-07-07 20:00:27,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4939342Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4939352Z 2023-07-07T20:05:31.4939619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4940177Z - self: 2023-07-07T20:05:31.4940485Z - node: fx.Node(unsqueeze_159[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4940660Z - aten_name: 2023-07-07T20:05:31.4940854Z - function_overloads: 2023-07-07T20:05:31.4941046Z - onnx_args: 2023-07-07T20:05:31.4941230Z - onnx_kwargs: 2023-07-07T20:05:31.4941700Z - diagnostic_context: 2023-07-07T20:05:31.4941958Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4942437Z [2023-07-07 20:00:27,393] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_4]. 2023-07-07T20:05:31.4942663Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4942675Z 2023-07-07T20:05:31.4942989Z [2023-07-07 20:00:27,393] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4943362Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4943419Z 2023-07-07T20:05:31.4943720Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4944155Z - self: 2023-07-07T20:05:31.4944405Z - node: fx.Node(cat_4[call_function]'aten.cat.default') 2023-07-07T20:05:31.4944576Z - aten_name: 2023-07-07T20:05:31.4944778Z - function_overloads: 2023-07-07T20:05:31.4944930Z - onnx_args: 2023-07-07T20:05:31.4945093Z - onnx_kwargs: 2023-07-07T20:05:31.4945547Z - diagnostic_context: 2023-07-07T20:05:31.4945770Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.4946140Z [2023-07-07 20:00:27,397] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:31.4946341Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4946355Z 2023-07-07T20:05:31.4946631Z [2023-07-07 20:00:27,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4946838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4946845Z 2023-07-07T20:05:31.4947021Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4947294Z - self: 2023-07-07T20:05:31.4947469Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:31.4947586Z - aten_name: 2023-07-07T20:05:31.4947717Z - function_overloads: 2023-07-07T20:05:31.4947833Z - onnx_args: 2023-07-07T20:05:31.4947952Z - onnx_kwargs: 2023-07-07T20:05:31.4948260Z - diagnostic_context: 2023-07-07T20:05:31.4948404Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.4948651Z [2023-07-07 20:00:27,399] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:31.4948791Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4948797Z 2023-07-07T20:05:31.4948997Z [2023-07-07 20:00:27,399] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4949202Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4949209Z 2023-07-07T20:05:31.4949394Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4949664Z - self: 2023-07-07T20:05:31.4949908Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:31.4950010Z - aten_name: 2023-07-07T20:05:31.4950141Z - function_overloads: 2023-07-07T20:05:31.4950258Z - onnx_args: 2023-07-07T20:05:31.4950376Z - onnx_kwargs: 2023-07-07T20:05:31.4950681Z - diagnostic_context: 2023-07-07T20:05:31.4950833Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.4951100Z [2023-07-07 20:00:27,406] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_4]. 2023-07-07T20:05:31.4951244Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4951250Z 2023-07-07T20:05:31.4951475Z [2023-07-07 20:00:27,406] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4951681Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4951714Z 2023-07-07T20:05:31.4951902Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4952200Z - self: 2023-07-07T20:05:31.4952399Z - node: fx.Node(transpose_4[call_function]'aten.transpose.int') 2023-07-07T20:05:31.4952512Z - aten_name: 2023-07-07T20:05:31.4952644Z - function_overloads: 2023-07-07T20:05:31.4952760Z - onnx_args: 2023-07-07T20:05:31.4952863Z - onnx_kwargs: 2023-07-07T20:05:31.4953165Z - diagnostic_context: 2023-07-07T20:05:31.4953376Z - Return value: 2023-07-07T20:05:31.4953634Z [2023-07-07 20:00:27,410] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_4]. 2023-07-07T20:05:31.4953769Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4953776Z 2023-07-07T20:05:31.4953996Z [2023-07-07 20:00:27,410] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4954284Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4954290Z 2023-07-07T20:05:31.4954474Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4954819Z - self: 2023-07-07T20:05:31.4954995Z - node: fx.Node(clone_4[call_function]'aten.clone.default') 2023-07-07T20:05:31.4955110Z - aten_name: 2023-07-07T20:05:31.4955241Z - function_overloads: 2023-07-07T20:05:31.4955359Z - onnx_args: 2023-07-07T20:05:31.4955476Z - onnx_kwargs: 2023-07-07T20:05:31.4955779Z - diagnostic_context: 2023-07-07T20:05:31.4955933Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.4956174Z [2023-07-07 20:00:27,419] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_3]. 2023-07-07T20:05:31.4956314Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4956320Z 2023-07-07T20:05:31.4956516Z [2023-07-07 20:00:27,419] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4956719Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4956725Z 2023-07-07T20:05:31.4956908Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4957179Z - self: 2023-07-07T20:05:31.4957363Z - node: fx.Node(split_3[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.4957478Z - aten_name: 2023-07-07T20:05:31.4957612Z - function_overloads: 2023-07-07T20:05:31.4957753Z - onnx_args: 2023-07-07T20:05:31.4957870Z - onnx_kwargs: 2023-07-07T20:05:31.4958172Z - diagnostic_context: 2023-07-07T20:05:31.4958322Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.4958590Z [2023-07-07 20:00:27,423] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_8]. 2023-07-07T20:05:31.4958729Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4958735Z 2023-07-07T20:05:31.4958932Z [2023-07-07 20:00:27,423] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4959164Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4959170Z 2023-07-07T20:05:31.4959341Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4959641Z - self: 2023-07-07T20:05:31.4959842Z - node: fx.Node(getitem_8[call_function]'') 2023-07-07T20:05:31.4959985Z - aten_name: 2023-07-07T20:05:31.4960118Z - function_overloads: 2023-07-07T20:05:31.4960233Z - onnx_args: 2023-07-07T20:05:31.4960348Z - onnx_kwargs: 2023-07-07T20:05:31.4960649Z - diagnostic_context: 2023-07-07T20:05:31.4960787Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4961091Z [2023-07-07 20:00:27,425] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_9]. 2023-07-07T20:05:31.4961267Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4961273Z 2023-07-07T20:05:31.4961474Z [2023-07-07 20:00:27,425] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4961682Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4961688Z 2023-07-07T20:05:31.4961873Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4962140Z - self: 2023-07-07T20:05:31.4962339Z - node: fx.Node(getitem_9[call_function]'') 2023-07-07T20:05:31.4962439Z - aten_name: 2023-07-07T20:05:31.4962570Z - function_overloads: 2023-07-07T20:05:31.4962684Z - onnx_args: 2023-07-07T20:05:31.4962802Z - onnx_kwargs: 2023-07-07T20:05:31.4963108Z - diagnostic_context: 2023-07-07T20:05:31.4963259Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.4963596Z [2023-07-07 20:00:27,427] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_20]. 2023-07-07T20:05:31.4963742Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4963750Z 2023-07-07T20:05:31.4963934Z [2023-07-07 20:00:27,427] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4964135Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4964141Z 2023-07-07T20:05:31.4964322Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4964753Z - self: 2023-07-07T20:05:31.4964973Z - node: fx.Node(convolution_20[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4965088Z - aten_name: 2023-07-07T20:05:31.4965221Z - function_overloads: 2023-07-07T20:05:31.4965335Z - onnx_args: 2023-07-07T20:05:31.4965442Z - onnx_kwargs: 2023-07-07T20:05:31.4965813Z - diagnostic_context: 2023-07-07T20:05:31.4966029Z - Return value: 2023-07-07T20:05:31.4966312Z [2023-07-07 20:00:27,439] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_20]. 2023-07-07T20:05:31.4966456Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4966658Z [2023-07-07 20:00:27,439] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.4966731Z ### Exception log 2023-07-07T20:05:31.4966793Z ``` 2023-07-07T20:05:31.4966876Z Traceback (most recent call last): 2023-07-07T20:05:31.4966883Z 2023-07-07T20:05:31.4967273Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.4967399Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.4967440Z 2023-07-07T20:05:31.4967707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.4967840Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.4967845Z 2023-07-07T20:05:31.4968165Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.4968263Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.4968268Z 2023-07-07T20:05:31.4968526Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.4968664Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.4968670Z 2023-07-07T20:05:31.4968948Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.4969072Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.4969079Z 2023-07-07T20:05:31.4969408Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.4969487Z result = op.Conv( 2023-07-07T20:05:31.4969493Z 2023-07-07T20:05:31.4969778Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.4969848Z return op( 2023-07-07T20:05:31.4969854Z 2023-07-07T20:05:31.4970110Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.4970237Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.4970244Z 2023-07-07T20:05:31.4970504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.4970634Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4970641Z 2023-07-07T20:05:31.4970903Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.4971015Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.4971022Z 2023-07-07T20:05:31.4971291Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.4971467Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.4971472Z 2023-07-07T20:05:31.4971722Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.4971814Z node.attribute.extend( 2023-07-07T20:05:31.4971819Z 2023-07-07T20:05:31.4972075Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.4972162Z make_attribute(key, value) 2023-07-07T20:05:31.4972167Z 2023-07-07T20:05:31.4972425Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.4972552Z raise ValueError( 2023-07-07T20:05:31.4972558Z 2023-07-07T20:05:31.4972720Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.4972740Z 2023-07-07T20:05:31.4972789Z ``` 2023-07-07T20:05:31.4972910Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4973218Z - diagnostic_context: 2023-07-07T20:05:31.4973435Z - node: fx.Node(convolution_20[call_function]'aten.convolution.default') 2023-07-07T20:05:31.4973644Z - symbolic_fn: 2023-07-07T20:05:31.4973761Z - torch_args: 2023-07-07T20:05:31.4973915Z - torch_kwargs: 2023-07-07T20:05:31.4974034Z - Return value: 2023-07-07T20:05:31.4974346Z [2023-07-07 20:00:27,445] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_40]. 2023-07-07T20:05:31.4974594Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4974630Z 2023-07-07T20:05:31.4974834Z [2023-07-07 20:00:27,445] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4975037Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4975044Z 2023-07-07T20:05:31.4975228Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4975495Z - self: 2023-07-07T20:05:31.4975738Z - node: fx.Node(convert_element_type_40[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4975851Z - aten_name: 2023-07-07T20:05:31.4975970Z - function_overloads: 2023-07-07T20:05:31.4976086Z - onnx_args: 2023-07-07T20:05:31.4976204Z - onnx_kwargs: 2023-07-07T20:05:31.4976510Z - diagnostic_context: 2023-07-07T20:05:31.4976692Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4976997Z [2023-07-07 20:00:27,448] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_41]. 2023-07-07T20:05:31.4977155Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4977161Z 2023-07-07T20:05:31.4977359Z [2023-07-07 20:00:27,448] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4977548Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4977556Z 2023-07-07T20:05:31.4977739Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4978003Z - self: 2023-07-07T20:05:31.4978248Z - node: fx.Node(convert_element_type_41[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.4978364Z - aten_name: 2023-07-07T20:05:31.4978495Z - function_overloads: 2023-07-07T20:05:31.4978609Z - onnx_args: 2023-07-07T20:05:31.4978724Z - onnx_kwargs: 2023-07-07T20:05:31.4979015Z - diagnostic_context: 2023-07-07T20:05:31.4979198Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.4979447Z [2023-07-07 20:00:27,456] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_20]. 2023-07-07T20:05:31.4979582Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4979767Z [2023-07-07 20:00:27,456] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.4979842Z ### Exception log 2023-07-07T20:05:31.4979904Z ``` 2023-07-07T20:05:31.4980019Z Traceback (most recent call last): 2023-07-07T20:05:31.4980038Z 2023-07-07T20:05:31.4980358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.4980456Z torch.testing.assert_close( 2023-07-07T20:05:31.4980461Z 2023-07-07T20:05:31.4980743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.4980836Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.4980841Z 2023-07-07T20:05:31.4980997Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.4981003Z 2023-07-07T20:05:31.4981094Z Mismatched elements: 27 / 48 (56.2%) 2023-07-07T20:05:31.4981258Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.4981396Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.4981428Z 2023-07-07T20:05:31.4981476Z ``` 2023-07-07T20:05:31.4981599Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.4981904Z - diagnostic_context: 2023-07-07T20:05:31.4982115Z - node: fx.Node(sqrt_20[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.4982256Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.4982374Z - torch_args: 2023-07-07T20:05:31.4982493Z - torch_kwargs: 2023-07-07T20:05:31.4982621Z - Return value: 2023-07-07T20:05:31.4982867Z [2023-07-07 20:00:27,460] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_20]. 2023-07-07T20:05:31.4983009Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4983016Z 2023-07-07T20:05:31.4983212Z [2023-07-07 20:00:27,460] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4983414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4983424Z 2023-07-07T20:05:31.4983606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4983875Z - self: 2023-07-07T20:05:31.4984061Z - node: fx.Node(tensor_int_20[call_function]'aten.tensor.int') 2023-07-07T20:05:31.4984174Z - aten_name: 2023-07-07T20:05:31.4984294Z - function_overloads: 2023-07-07T20:05:31.4984409Z - onnx_args: 2023-07-07T20:05:31.4984526Z - onnx_kwargs: 2023-07-07T20:05:31.4984827Z - diagnostic_context: 2023-07-07T20:05:31.4984987Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.4985263Z [2023-07-07 20:00:27,472] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_160]. 2023-07-07T20:05:31.4985406Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4985413Z 2023-07-07T20:05:31.4985609Z [2023-07-07 20:00:27,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4985799Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4985818Z 2023-07-07T20:05:31.4985988Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4986254Z - self: 2023-07-07T20:05:31.4986461Z - node: fx.Node(unsqueeze_160[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4986573Z - aten_name: 2023-07-07T20:05:31.4986707Z - function_overloads: 2023-07-07T20:05:31.4986822Z - onnx_args: 2023-07-07T20:05:31.4986938Z - onnx_kwargs: 2023-07-07T20:05:31.4987229Z - diagnostic_context: 2023-07-07T20:05:31.4987461Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4987745Z [2023-07-07 20:00:27,475] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_161]. 2023-07-07T20:05:31.4987888Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4987894Z 2023-07-07T20:05:31.4988092Z [2023-07-07 20:00:27,475] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4988296Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4988301Z 2023-07-07T20:05:31.4988484Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4988781Z - self: 2023-07-07T20:05:31.4988990Z - node: fx.Node(unsqueeze_161[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4989121Z - aten_name: 2023-07-07T20:05:31.4989257Z - function_overloads: 2023-07-07T20:05:31.4989373Z - onnx_args: 2023-07-07T20:05:31.4989532Z - onnx_kwargs: 2023-07-07T20:05:31.4989835Z - diagnostic_context: 2023-07-07T20:05:31.4989991Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4990269Z [2023-07-07 20:00:27,478] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_162]. 2023-07-07T20:05:31.4990397Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4990415Z 2023-07-07T20:05:31.4990602Z [2023-07-07 20:00:27,478] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4990806Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4990812Z 2023-07-07T20:05:31.4990997Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4991262Z - self: 2023-07-07T20:05:31.4991468Z - node: fx.Node(unsqueeze_162[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4991580Z - aten_name: 2023-07-07T20:05:31.4991712Z - function_overloads: 2023-07-07T20:05:31.4991828Z - onnx_args: 2023-07-07T20:05:31.4991932Z - onnx_kwargs: 2023-07-07T20:05:31.4992233Z - diagnostic_context: 2023-07-07T20:05:31.4992388Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4992665Z [2023-07-07 20:00:27,481] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_163]. 2023-07-07T20:05:31.4992806Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4992814Z 2023-07-07T20:05:31.4993012Z [2023-07-07 20:00:27,481] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4993213Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4993221Z 2023-07-07T20:05:31.4993403Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4993670Z - self: 2023-07-07T20:05:31.4993863Z - node: fx.Node(unsqueeze_163[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4993975Z - aten_name: 2023-07-07T20:05:31.4994106Z - function_overloads: 2023-07-07T20:05:31.4994223Z - onnx_args: 2023-07-07T20:05:31.4994342Z - onnx_kwargs: 2023-07-07T20:05:31.4994727Z - diagnostic_context: 2023-07-07T20:05:31.4994888Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4995201Z [2023-07-07 20:00:27,492] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_164]. 2023-07-07T20:05:31.4995349Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4995356Z 2023-07-07T20:05:31.4995553Z [2023-07-07 20:00:27,492] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4995755Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4995761Z 2023-07-07T20:05:31.4995944Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4996215Z - self: 2023-07-07T20:05:31.4996451Z - node: fx.Node(unsqueeze_164[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4996567Z - aten_name: 2023-07-07T20:05:31.4996698Z - function_overloads: 2023-07-07T20:05:31.4996829Z - onnx_args: 2023-07-07T20:05:31.4996949Z - onnx_kwargs: 2023-07-07T20:05:31.4997253Z - diagnostic_context: 2023-07-07T20:05:31.4997441Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.4997717Z [2023-07-07 20:00:27,495] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_165]. 2023-07-07T20:05:31.4997858Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.4997864Z 2023-07-07T20:05:31.4998059Z [2023-07-07 20:00:27,495] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.4998263Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.4998269Z 2023-07-07T20:05:31.4998438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.4998711Z - self: 2023-07-07T20:05:31.4998917Z - node: fx.Node(unsqueeze_165[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.4999033Z - aten_name: 2023-07-07T20:05:31.4999165Z - function_overloads: 2023-07-07T20:05:31.4999280Z - onnx_args: 2023-07-07T20:05:31.4999399Z - onnx_kwargs: 2023-07-07T20:05:31.4999689Z - diagnostic_context: 2023-07-07T20:05:31.4999845Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5000124Z [2023-07-07 20:00:27,502] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_166]. 2023-07-07T20:05:31.5000267Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5000273Z 2023-07-07T20:05:31.5000471Z [2023-07-07 20:00:27,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5000678Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5000684Z 2023-07-07T20:05:31.5000868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5001136Z - self: 2023-07-07T20:05:31.5001340Z - node: fx.Node(unsqueeze_166[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5001441Z - aten_name: 2023-07-07T20:05:31.5001573Z - function_overloads: 2023-07-07T20:05:31.5001687Z - onnx_args: 2023-07-07T20:05:31.5001805Z - onnx_kwargs: 2023-07-07T20:05:31.5002111Z - diagnostic_context: 2023-07-07T20:05:31.5002267Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5002546Z [2023-07-07 20:00:27,504] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_167]. 2023-07-07T20:05:31.5002724Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5002730Z 2023-07-07T20:05:31.5002918Z [2023-07-07 20:00:27,504] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5003120Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5003126Z 2023-07-07T20:05:31.5003309Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5003577Z - self: 2023-07-07T20:05:31.5003782Z - node: fx.Node(unsqueeze_167[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5003923Z - aten_name: 2023-07-07T20:05:31.5004056Z - function_overloads: 2023-07-07T20:05:31.5004172Z - onnx_args: 2023-07-07T20:05:31.5004274Z - onnx_kwargs: 2023-07-07T20:05:31.5004749Z - diagnostic_context: 2023-07-07T20:05:31.5004911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5005270Z [2023-07-07 20:00:27,522] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_21]. 2023-07-07T20:05:31.5005416Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5005422Z 2023-07-07T20:05:31.5005619Z [2023-07-07 20:00:27,522] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5005824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5005830Z 2023-07-07T20:05:31.5006015Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5006286Z - self: 2023-07-07T20:05:31.5006493Z - node: fx.Node(convolution_21[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5006607Z - aten_name: 2023-07-07T20:05:31.5006739Z - function_overloads: 2023-07-07T20:05:31.5006857Z - onnx_args: 2023-07-07T20:05:31.5006973Z - onnx_kwargs: 2023-07-07T20:05:31.5007277Z - diagnostic_context: 2023-07-07T20:05:31.5007489Z - Return value: 2023-07-07T20:05:31.5007761Z [2023-07-07 20:00:27,531] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_21]. 2023-07-07T20:05:31.5007908Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5008108Z [2023-07-07 20:00:27,532] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5008184Z ### Exception log 2023-07-07T20:05:31.5008246Z ``` 2023-07-07T20:05:31.5008342Z Traceback (most recent call last): 2023-07-07T20:05:31.5008350Z 2023-07-07T20:05:31.5008684Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5008808Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5008814Z 2023-07-07T20:05:31.5009075Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5009156Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5009162Z 2023-07-07T20:05:31.5009479Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5009575Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5009581Z 2023-07-07T20:05:31.5009843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5009979Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5009987Z 2023-07-07T20:05:31.5010310Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5010451Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5010457Z 2023-07-07T20:05:31.5010784Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5010860Z result = op.Conv( 2023-07-07T20:05:31.5010866Z 2023-07-07T20:05:31.5011147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5011205Z return op( 2023-07-07T20:05:31.5011210Z 2023-07-07T20:05:31.5011523Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5011654Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5011693Z 2023-07-07T20:05:31.5011956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5012086Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5012121Z 2023-07-07T20:05:31.5012381Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5012506Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5012512Z 2023-07-07T20:05:31.5012779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5012955Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5012960Z 2023-07-07T20:05:31.5013215Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5013295Z node.attribute.extend( 2023-07-07T20:05:31.5013302Z 2023-07-07T20:05:31.5013557Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5013645Z make_attribute(key, value) 2023-07-07T20:05:31.5013653Z 2023-07-07T20:05:31.5013914Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5013993Z raise ValueError( 2023-07-07T20:05:31.5013998Z 2023-07-07T20:05:31.5014192Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5014197Z 2023-07-07T20:05:31.5014258Z ``` 2023-07-07T20:05:31.5014380Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5014675Z - diagnostic_context: 2023-07-07T20:05:31.5014893Z - node: fx.Node(convolution_21[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5015102Z - symbolic_fn: 2023-07-07T20:05:31.5015222Z - torch_args: 2023-07-07T20:05:31.5015343Z - torch_kwargs: 2023-07-07T20:05:31.5015471Z - Return value: 2023-07-07T20:05:31.5015784Z [2023-07-07 20:00:27,536] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_42]. 2023-07-07T20:05:31.5015943Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5015949Z 2023-07-07T20:05:31.5016135Z [2023-07-07 20:00:27,537] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5016339Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5016345Z 2023-07-07T20:05:31.5016530Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5016800Z - self: 2023-07-07T20:05:31.5017075Z - node: fx.Node(convert_element_type_42[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5017191Z - aten_name: 2023-07-07T20:05:31.5017325Z - function_overloads: 2023-07-07T20:05:31.5017439Z - onnx_args: 2023-07-07T20:05:31.5017543Z - onnx_kwargs: 2023-07-07T20:05:31.5017844Z - diagnostic_context: 2023-07-07T20:05:31.5018026Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5018334Z [2023-07-07 20:00:27,828] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_43]. 2023-07-07T20:05:31.5018493Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5018541Z 2023-07-07T20:05:31.5018739Z [2023-07-07 20:00:27,828] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5018944Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5018976Z 2023-07-07T20:05:31.5019161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5019457Z - self: 2023-07-07T20:05:31.5019685Z - node: fx.Node(convert_element_type_43[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5019798Z - aten_name: 2023-07-07T20:05:31.5019929Z - function_overloads: 2023-07-07T20:05:31.5020042Z - onnx_args: 2023-07-07T20:05:31.5020160Z - onnx_kwargs: 2023-07-07T20:05:31.5020462Z - diagnostic_context: 2023-07-07T20:05:31.5020645Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5020895Z [2023-07-07 20:00:27,837] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_21]. 2023-07-07T20:05:31.5021020Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5021205Z [2023-07-07 20:00:27,837] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5021282Z ### Exception log 2023-07-07T20:05:31.5021342Z ``` 2023-07-07T20:05:31.5021436Z Traceback (most recent call last): 2023-07-07T20:05:31.5021442Z 2023-07-07T20:05:31.5021773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5021867Z torch.testing.assert_close( 2023-07-07T20:05:31.5021873Z 2023-07-07T20:05:31.5022157Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5022241Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5022246Z 2023-07-07T20:05:31.5022403Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5022409Z 2023-07-07T20:05:31.5022501Z Mismatched elements: 27 / 48 (56.2%) 2023-07-07T20:05:31.5022638Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5022774Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5022781Z 2023-07-07T20:05:31.5022840Z ``` 2023-07-07T20:05:31.5022960Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5023264Z - diagnostic_context: 2023-07-07T20:05:31.5023432Z - node: fx.Node(sqrt_21[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5023575Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5023692Z - torch_args: 2023-07-07T20:05:31.5023809Z - torch_kwargs: 2023-07-07T20:05:31.5023938Z - Return value: 2023-07-07T20:05:31.5024197Z [2023-07-07 20:00:27,841] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_21]. 2023-07-07T20:05:31.5024340Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5024378Z 2023-07-07T20:05:31.5024577Z [2023-07-07 20:00:27,841] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5024770Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5024787Z 2023-07-07T20:05:31.5024959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5025228Z - self: 2023-07-07T20:05:31.5025414Z - node: fx.Node(tensor_int_21[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5025528Z - aten_name: 2023-07-07T20:05:31.5025659Z - function_overloads: 2023-07-07T20:05:31.5025804Z - onnx_args: 2023-07-07T20:05:31.5025922Z - onnx_kwargs: 2023-07-07T20:05:31.5026213Z - diagnostic_context: 2023-07-07T20:05:31.5026404Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5026678Z [2023-07-07 20:00:27,853] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_168]. 2023-07-07T20:05:31.5026848Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5026854Z 2023-07-07T20:05:31.5027050Z [2023-07-07 20:00:27,854] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5027253Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5027258Z 2023-07-07T20:05:31.5027440Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5027710Z - self: 2023-07-07T20:05:31.5027914Z - node: fx.Node(unsqueeze_168[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5028017Z - aten_name: 2023-07-07T20:05:31.5028151Z - function_overloads: 2023-07-07T20:05:31.5028265Z - onnx_args: 2023-07-07T20:05:31.5028382Z - onnx_kwargs: 2023-07-07T20:05:31.5028686Z - diagnostic_context: 2023-07-07T20:05:31.5028842Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5029120Z [2023-07-07 20:00:27,856] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_169]. 2023-07-07T20:05:31.5029249Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5029268Z 2023-07-07T20:05:31.5029451Z [2023-07-07 20:00:27,856] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5029655Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5029661Z 2023-07-07T20:05:31.5029845Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5030114Z - self: 2023-07-07T20:05:31.5030321Z - node: fx.Node(unsqueeze_169[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5030435Z - aten_name: 2023-07-07T20:05:31.5030565Z - function_overloads: 2023-07-07T20:05:31.5030679Z - onnx_args: 2023-07-07T20:05:31.5030782Z - onnx_kwargs: 2023-07-07T20:05:31.5031083Z - diagnostic_context: 2023-07-07T20:05:31.5031240Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5031520Z [2023-07-07 20:00:27,859] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_170]. 2023-07-07T20:05:31.5031659Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5031664Z 2023-07-07T20:05:31.5031898Z [2023-07-07 20:00:27,859] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5032100Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5032108Z 2023-07-07T20:05:31.5032289Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5032542Z - self: 2023-07-07T20:05:31.5032748Z - node: fx.Node(unsqueeze_170[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5032862Z - aten_name: 2023-07-07T20:05:31.5032992Z - function_overloads: 2023-07-07T20:05:31.5033109Z - onnx_args: 2023-07-07T20:05:31.5033254Z - onnx_kwargs: 2023-07-07T20:05:31.5033557Z - diagnostic_context: 2023-07-07T20:05:31.5033715Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5034024Z [2023-07-07 20:00:27,862] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_171]. 2023-07-07T20:05:31.5034198Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5034204Z 2023-07-07T20:05:31.5034400Z [2023-07-07 20:00:27,862] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5034670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5034681Z 2023-07-07T20:05:31.5034868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5035139Z - self: 2023-07-07T20:05:31.5035347Z - node: fx.Node(unsqueeze_171[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5035460Z - aten_name: 2023-07-07T20:05:31.5035580Z - function_overloads: 2023-07-07T20:05:31.5035695Z - onnx_args: 2023-07-07T20:05:31.5035814Z - onnx_kwargs: 2023-07-07T20:05:31.5036118Z - diagnostic_context: 2023-07-07T20:05:31.5036277Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5036555Z [2023-07-07 20:00:27,874] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_172]. 2023-07-07T20:05:31.5036696Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5036701Z 2023-07-07T20:05:31.5036896Z [2023-07-07 20:00:27,875] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5037085Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5037106Z 2023-07-07T20:05:31.5037274Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5037546Z - self: 2023-07-07T20:05:31.5037751Z - node: fx.Node(unsqueeze_172[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5037866Z - aten_name: 2023-07-07T20:05:31.5037997Z - function_overloads: 2023-07-07T20:05:31.5038112Z - onnx_args: 2023-07-07T20:05:31.5038227Z - onnx_kwargs: 2023-07-07T20:05:31.5038520Z - diagnostic_context: 2023-07-07T20:05:31.5038675Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5038949Z [2023-07-07 20:00:27,878] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_173]. 2023-07-07T20:05:31.5039092Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5039098Z 2023-07-07T20:05:31.5039293Z [2023-07-07 20:00:27,879] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5039535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5039541Z 2023-07-07T20:05:31.5039727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5039998Z - self: 2023-07-07T20:05:31.5040202Z - node: fx.Node(unsqueeze_173[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5040303Z - aten_name: 2023-07-07T20:05:31.5040435Z - function_overloads: 2023-07-07T20:05:31.5040548Z - onnx_args: 2023-07-07T20:05:31.5040665Z - onnx_kwargs: 2023-07-07T20:05:31.5040996Z - diagnostic_context: 2023-07-07T20:05:31.5041153Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5041430Z [2023-07-07 20:00:27,888] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_174]. 2023-07-07T20:05:31.5041601Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5041608Z 2023-07-07T20:05:31.5041868Z [2023-07-07 20:00:27,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5042069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5042075Z 2023-07-07T20:05:31.5042258Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5042525Z - self: 2023-07-07T20:05:31.5042729Z - node: fx.Node(unsqueeze_174[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5042845Z - aten_name: 2023-07-07T20:05:31.5042977Z - function_overloads: 2023-07-07T20:05:31.5043092Z - onnx_args: 2023-07-07T20:05:31.5043195Z - onnx_kwargs: 2023-07-07T20:05:31.5043503Z - diagnostic_context: 2023-07-07T20:05:31.5043659Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5043938Z [2023-07-07 20:00:27,892] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_175]. 2023-07-07T20:05:31.5044079Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5044085Z 2023-07-07T20:05:31.5044282Z [2023-07-07 20:00:27,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5044623Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5044630Z 2023-07-07T20:05:31.5044816Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5045086Z - self: 2023-07-07T20:05:31.5045282Z - node: fx.Node(unsqueeze_175[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5045398Z - aten_name: 2023-07-07T20:05:31.5045534Z - function_overloads: 2023-07-07T20:05:31.5045652Z - onnx_args: 2023-07-07T20:05:31.5045768Z - onnx_kwargs: 2023-07-07T20:05:31.5046071Z - diagnostic_context: 2023-07-07T20:05:31.5046227Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5046499Z [2023-07-07 20:00:27,902] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_22]. 2023-07-07T20:05:31.5046642Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5046648Z 2023-07-07T20:05:31.5046845Z [2023-07-07 20:00:27,902] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5047043Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5047051Z 2023-07-07T20:05:31.5047293Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5047564Z - self: 2023-07-07T20:05:31.5047782Z - node: fx.Node(convolution_22[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5047897Z - aten_name: 2023-07-07T20:05:31.5048028Z - function_overloads: 2023-07-07T20:05:31.5048131Z - onnx_args: 2023-07-07T20:05:31.5048248Z - onnx_kwargs: 2023-07-07T20:05:31.5048549Z - diagnostic_context: 2023-07-07T20:05:31.5048761Z - Return value: 2023-07-07T20:05:31.5049087Z [2023-07-07 20:00:27,920] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_22]. 2023-07-07T20:05:31.5049265Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5049469Z [2023-07-07 20:00:27,920] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5049531Z ### Exception log 2023-07-07T20:05:31.5049630Z ``` 2023-07-07T20:05:31.5049727Z Traceback (most recent call last): 2023-07-07T20:05:31.5049733Z 2023-07-07T20:05:31.5050065Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5050187Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5050193Z 2023-07-07T20:05:31.5050455Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5050549Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5050557Z 2023-07-07T20:05:31.5050877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5050976Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5050983Z 2023-07-07T20:05:31.5051228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5051368Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5051374Z 2023-07-07T20:05:31.5051650Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5051787Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5051793Z 2023-07-07T20:05:31.5052122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5052201Z result = op.Conv( 2023-07-07T20:05:31.5052208Z 2023-07-07T20:05:31.5052492Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5052568Z return op( 2023-07-07T20:05:31.5052574Z 2023-07-07T20:05:31.5052834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5052965Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5052970Z 2023-07-07T20:05:31.5053216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5053347Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5053352Z 2023-07-07T20:05:31.5053612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5053737Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5053743Z 2023-07-07T20:05:31.5054013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5054191Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5054228Z 2023-07-07T20:05:31.5054606Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5054703Z node.attribute.extend( 2023-07-07T20:05:31.5054708Z 2023-07-07T20:05:31.5054963Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5055053Z make_attribute(key, value) 2023-07-07T20:05:31.5055058Z 2023-07-07T20:05:31.5055305Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5055384Z raise ValueError( 2023-07-07T20:05:31.5055389Z 2023-07-07T20:05:31.5055592Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5055598Z 2023-07-07T20:05:31.5055660Z ``` 2023-07-07T20:05:31.5055784Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5056125Z - diagnostic_context: 2023-07-07T20:05:31.5056341Z - node: fx.Node(convolution_22[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5056581Z - symbolic_fn: 2023-07-07T20:05:31.5056686Z - torch_args: 2023-07-07T20:05:31.5056807Z - torch_kwargs: 2023-07-07T20:05:31.5056935Z - Return value: 2023-07-07T20:05:31.5057253Z [2023-07-07 20:00:27,925] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_44]. 2023-07-07T20:05:31.5057413Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5057419Z 2023-07-07T20:05:31.5057617Z [2023-07-07 20:00:27,925] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5057822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5057830Z 2023-07-07T20:05:31.5058018Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5058289Z - self: 2023-07-07T20:05:31.5058521Z - node: fx.Node(convert_element_type_44[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5058636Z - aten_name: 2023-07-07T20:05:31.5058768Z - function_overloads: 2023-07-07T20:05:31.5058887Z - onnx_args: 2023-07-07T20:05:31.5059004Z - onnx_kwargs: 2023-07-07T20:05:31.5059310Z - diagnostic_context: 2023-07-07T20:05:31.5059494Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5059793Z [2023-07-07 20:00:27,930] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_45]. 2023-07-07T20:05:31.5059957Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5059963Z 2023-07-07T20:05:31.5060160Z [2023-07-07 20:00:27,930] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5060366Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5060372Z 2023-07-07T20:05:31.5060555Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5060826Z - self: 2023-07-07T20:05:31.5061067Z - node: fx.Node(convert_element_type_45[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5061180Z - aten_name: 2023-07-07T20:05:31.5061315Z - function_overloads: 2023-07-07T20:05:31.5061418Z - onnx_args: 2023-07-07T20:05:31.5061534Z - onnx_kwargs: 2023-07-07T20:05:31.5061873Z - diagnostic_context: 2023-07-07T20:05:31.5062056Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5062311Z [2023-07-07 20:00:27,940] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_22]. 2023-07-07T20:05:31.5062444Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5062630Z [2023-07-07 20:00:27,940] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5062705Z ### Exception log 2023-07-07T20:05:31.5062753Z ``` 2023-07-07T20:05:31.5062849Z Traceback (most recent call last): 2023-07-07T20:05:31.5062855Z 2023-07-07T20:05:31.5063216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5063316Z torch.testing.assert_close( 2023-07-07T20:05:31.5063322Z 2023-07-07T20:05:31.5063608Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5063730Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5063735Z 2023-07-07T20:05:31.5063921Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5063926Z 2023-07-07T20:05:31.5064019Z Mismatched elements: 26 / 48 (54.2%) 2023-07-07T20:05:31.5064141Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5064279Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5064285Z 2023-07-07T20:05:31.5064344Z ``` 2023-07-07T20:05:31.5064463Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5064769Z - diagnostic_context: 2023-07-07T20:05:31.5064949Z - node: fx.Node(sqrt_22[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5065093Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5065210Z - torch_args: 2023-07-07T20:05:31.5065319Z - torch_kwargs: 2023-07-07T20:05:31.5065451Z - Return value: 2023-07-07T20:05:31.5065708Z [2023-07-07 20:00:27,944] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_22]. 2023-07-07T20:05:31.5065853Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5065859Z 2023-07-07T20:05:31.5066057Z [2023-07-07 20:00:27,944] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5066260Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5066266Z 2023-07-07T20:05:31.5066448Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5066717Z - self: 2023-07-07T20:05:31.5066905Z - node: fx.Node(tensor_int_22[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5067008Z - aten_name: 2023-07-07T20:05:31.5067141Z - function_overloads: 2023-07-07T20:05:31.5067255Z - onnx_args: 2023-07-07T20:05:31.5067372Z - onnx_kwargs: 2023-07-07T20:05:31.5067676Z - diagnostic_context: 2023-07-07T20:05:31.5067834Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5068110Z [2023-07-07 20:00:27,960] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_176]. 2023-07-07T20:05:31.5068238Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5068243Z 2023-07-07T20:05:31.5068440Z [2023-07-07 20:00:27,961] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5068643Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5068649Z 2023-07-07T20:05:31.5068831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5069135Z - self: 2023-07-07T20:05:31.5069345Z - node: fx.Node(unsqueeze_176[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5069458Z - aten_name: 2023-07-07T20:05:31.5069588Z - function_overloads: 2023-07-07T20:05:31.5069691Z - onnx_args: 2023-07-07T20:05:31.5069807Z - onnx_kwargs: 2023-07-07T20:05:31.5070107Z - diagnostic_context: 2023-07-07T20:05:31.5070262Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5070586Z [2023-07-07 20:00:27,964] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_177]. 2023-07-07T20:05:31.5070728Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5070734Z 2023-07-07T20:05:31.5070967Z [2023-07-07 20:00:27,965] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5071172Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5071205Z 2023-07-07T20:05:31.5071391Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5071643Z - self: 2023-07-07T20:05:31.5071848Z - node: fx.Node(unsqueeze_177[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5071961Z - aten_name: 2023-07-07T20:05:31.5072092Z - function_overloads: 2023-07-07T20:05:31.5072206Z - onnx_args: 2023-07-07T20:05:31.5072322Z - onnx_kwargs: 2023-07-07T20:05:31.5072626Z - diagnostic_context: 2023-07-07T20:05:31.5072770Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5073052Z [2023-07-07 20:00:27,968] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_178]. 2023-07-07T20:05:31.5073193Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5073201Z 2023-07-07T20:05:31.5073395Z [2023-07-07 20:00:27,968] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5073595Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5073601Z 2023-07-07T20:05:31.5073782Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5074048Z - self: 2023-07-07T20:05:31.5074256Z - node: fx.Node(unsqueeze_178[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5074369Z - aten_name: 2023-07-07T20:05:31.5074488Z - function_overloads: 2023-07-07T20:05:31.5074672Z - onnx_args: 2023-07-07T20:05:31.5074804Z - onnx_kwargs: 2023-07-07T20:05:31.5075109Z - diagnostic_context: 2023-07-07T20:05:31.5075267Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5075546Z [2023-07-07 20:00:27,972] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_179]. 2023-07-07T20:05:31.5075688Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5075693Z 2023-07-07T20:05:31.5075889Z [2023-07-07 20:00:27,972] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5076081Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5076102Z 2023-07-07T20:05:31.5076272Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5076541Z - self: 2023-07-07T20:05:31.5076794Z - node: fx.Node(unsqueeze_179[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5076911Z - aten_name: 2023-07-07T20:05:31.5077043Z - function_overloads: 2023-07-07T20:05:31.5077159Z - onnx_args: 2023-07-07T20:05:31.5077274Z - onnx_kwargs: 2023-07-07T20:05:31.5077564Z - diagnostic_context: 2023-07-07T20:05:31.5077719Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5077995Z [2023-07-07 20:00:27,983] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_180]. 2023-07-07T20:05:31.5078164Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5078170Z 2023-07-07T20:05:31.5078368Z [2023-07-07 20:00:27,983] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5078572Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5078607Z 2023-07-07T20:05:31.5078791Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5079088Z - self: 2023-07-07T20:05:31.5079292Z - node: fx.Node(unsqueeze_180[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5079392Z - aten_name: 2023-07-07T20:05:31.5079523Z - function_overloads: 2023-07-07T20:05:31.5079640Z - onnx_args: 2023-07-07T20:05:31.5079755Z - onnx_kwargs: 2023-07-07T20:05:31.5080055Z - diagnostic_context: 2023-07-07T20:05:31.5080212Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5080489Z [2023-07-07 20:00:27,986] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_181]. 2023-07-07T20:05:31.5080623Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5080642Z 2023-07-07T20:05:31.5080825Z [2023-07-07 20:00:27,986] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5081029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5081035Z 2023-07-07T20:05:31.5081216Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5081482Z - self: 2023-07-07T20:05:31.5081684Z - node: fx.Node(unsqueeze_181[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5081800Z - aten_name: 2023-07-07T20:05:31.5081935Z - function_overloads: 2023-07-07T20:05:31.5082050Z - onnx_args: 2023-07-07T20:05:31.5082153Z - onnx_kwargs: 2023-07-07T20:05:31.5082461Z - diagnostic_context: 2023-07-07T20:05:31.5082620Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5082900Z [2023-07-07 20:00:27,993] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_182]. 2023-07-07T20:05:31.5083041Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5083047Z 2023-07-07T20:05:31.5083243Z [2023-07-07 20:00:27,993] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5083441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5083447Z 2023-07-07T20:05:31.5083631Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5083896Z - self: 2023-07-07T20:05:31.5084090Z - node: fx.Node(unsqueeze_182[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5084246Z - aten_name: 2023-07-07T20:05:31.5084546Z - function_overloads: 2023-07-07T20:05:31.5084676Z - onnx_args: 2023-07-07T20:05:31.5084792Z - onnx_kwargs: 2023-07-07T20:05:31.5085096Z - diagnostic_context: 2023-07-07T20:05:31.5085252Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5085519Z [2023-07-07 20:00:27,996] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_183]. 2023-07-07T20:05:31.5085658Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5085665Z 2023-07-07T20:05:31.5085918Z [2023-07-07 20:00:27,996] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5086126Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5086171Z 2023-07-07T20:05:31.5086358Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5086629Z - self: 2023-07-07T20:05:31.5086874Z - node: fx.Node(unsqueeze_183[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5086988Z - aten_name: 2023-07-07T20:05:31.5087119Z - function_overloads: 2023-07-07T20:05:31.5087221Z - onnx_args: 2023-07-07T20:05:31.5087337Z - onnx_kwargs: 2023-07-07T20:05:31.5087640Z - diagnostic_context: 2023-07-07T20:05:31.5087798Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5088043Z [2023-07-07 20:00:28,012] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_5]. 2023-07-07T20:05:31.5088175Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5088183Z 2023-07-07T20:05:31.5088380Z [2023-07-07 20:00:28,013] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5088579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5088587Z 2023-07-07T20:05:31.5088756Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5089023Z - self: 2023-07-07T20:05:31.5089197Z - node: fx.Node(cat_5[call_function]'aten.cat.default') 2023-07-07T20:05:31.5089310Z - aten_name: 2023-07-07T20:05:31.5089442Z - function_overloads: 2023-07-07T20:05:31.5089556Z - onnx_args: 2023-07-07T20:05:31.5089675Z - onnx_kwargs: 2023-07-07T20:05:31.5089967Z - diagnostic_context: 2023-07-07T20:05:31.5090113Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.5090376Z [2023-07-07 20:00:28,020] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_5]. 2023-07-07T20:05:31.5090521Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5090526Z 2023-07-07T20:05:31.5090721Z [2023-07-07 20:00:28,021] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5090919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5090925Z 2023-07-07T20:05:31.5091105Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5091370Z - self: 2023-07-07T20:05:31.5091566Z - node: fx.Node(transpose_5[call_function]'aten.transpose.int') 2023-07-07T20:05:31.5091666Z - aten_name: 2023-07-07T20:05:31.5091797Z - function_overloads: 2023-07-07T20:05:31.5091914Z - onnx_args: 2023-07-07T20:05:31.5092086Z - onnx_kwargs: 2023-07-07T20:05:31.5092390Z - diagnostic_context: 2023-07-07T20:05:31.5092606Z - Return value: 2023-07-07T20:05:31.5092858Z [2023-07-07 20:00:28,024] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_5]. 2023-07-07T20:05:31.5092992Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5092998Z 2023-07-07T20:05:31.5093181Z [2023-07-07 20:00:28,024] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5093413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5093419Z 2023-07-07T20:05:31.5093604Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5093911Z - self: 2023-07-07T20:05:31.5094093Z - node: fx.Node(clone_5[call_function]'aten.clone.default') 2023-07-07T20:05:31.5094257Z - aten_name: 2023-07-07T20:05:31.5094388Z - function_overloads: 2023-07-07T20:05:31.5094503Z - onnx_args: 2023-07-07T20:05:31.5094607Z - onnx_kwargs: 2023-07-07T20:05:31.5094910Z - diagnostic_context: 2023-07-07T20:05:31.5095056Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.5095309Z [2023-07-07 20:00:28,033] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_4]. 2023-07-07T20:05:31.5095444Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5095452Z 2023-07-07T20:05:31.5095650Z [2023-07-07 20:00:28,033] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5095854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5095862Z 2023-07-07T20:05:31.5096044Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5096313Z - self: 2023-07-07T20:05:31.5096481Z - node: fx.Node(split_4[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.5096592Z - aten_name: 2023-07-07T20:05:31.5096723Z - function_overloads: 2023-07-07T20:05:31.5096838Z - onnx_args: 2023-07-07T20:05:31.5096955Z - onnx_kwargs: 2023-07-07T20:05:31.5097255Z - diagnostic_context: 2023-07-07T20:05:31.5097404Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.5097665Z [2023-07-07 20:00:28,037] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_10]. 2023-07-07T20:05:31.5097806Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5097811Z 2023-07-07T20:05:31.5098006Z [2023-07-07 20:00:28,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5098206Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5098211Z 2023-07-07T20:05:31.5098394Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5098658Z - self: 2023-07-07T20:05:31.5098859Z - node: fx.Node(getitem_10[call_function]'') 2023-07-07T20:05:31.5098971Z - aten_name: 2023-07-07T20:05:31.5099103Z - function_overloads: 2023-07-07T20:05:31.5099206Z - onnx_args: 2023-07-07T20:05:31.5099321Z - onnx_kwargs: 2023-07-07T20:05:31.5099667Z - diagnostic_context: 2023-07-07T20:05:31.5099821Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5100096Z [2023-07-07 20:00:28,038] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_11]. 2023-07-07T20:05:31.5100233Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5100239Z 2023-07-07T20:05:31.5100433Z [2023-07-07 20:00:28,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5100632Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5100638Z 2023-07-07T20:05:31.5100836Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5101106Z - self: 2023-07-07T20:05:31.5101307Z - node: fx.Node(getitem_11[call_function]'') 2023-07-07T20:05:31.5101491Z - aten_name: 2023-07-07T20:05:31.5101624Z - function_overloads: 2023-07-07T20:05:31.5101738Z - onnx_args: 2023-07-07T20:05:31.5101905Z - onnx_kwargs: 2023-07-07T20:05:31.5102195Z - diagnostic_context: 2023-07-07T20:05:31.5102349Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5102636Z [2023-07-07 20:00:28,041] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_23]. 2023-07-07T20:05:31.5102781Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5102786Z 2023-07-07T20:05:31.5102985Z [2023-07-07 20:00:28,041] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5103189Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5103197Z 2023-07-07T20:05:31.5103382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5103650Z - self: 2023-07-07T20:05:31.5103867Z - node: fx.Node(convolution_23[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5103967Z - aten_name: 2023-07-07T20:05:31.5104099Z - function_overloads: 2023-07-07T20:05:31.5104215Z - onnx_args: 2023-07-07T20:05:31.5104332Z - onnx_kwargs: 2023-07-07T20:05:31.5104632Z - diagnostic_context: 2023-07-07T20:05:31.5104844Z - Return value: 2023-07-07T20:05:31.5105128Z [2023-07-07 20:00:28,046] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_23]. 2023-07-07T20:05:31.5105273Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5105465Z [2023-07-07 20:00:28,047] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5105541Z ### Exception log 2023-07-07T20:05:31.5105605Z ``` 2023-07-07T20:05:31.5105703Z Traceback (most recent call last): 2023-07-07T20:05:31.5105709Z 2023-07-07T20:05:31.5106042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5106165Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5106170Z 2023-07-07T20:05:31.5106431Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5106525Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5106530Z 2023-07-07T20:05:31.5106841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5106942Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5106947Z 2023-07-07T20:05:31.5107247Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5107389Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5107395Z 2023-07-07T20:05:31.5107672Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5107808Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5107814Z 2023-07-07T20:05:31.5108141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5108219Z result = op.Conv( 2023-07-07T20:05:31.5108224Z 2023-07-07T20:05:31.5108540Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5108615Z return op( 2023-07-07T20:05:31.5108646Z 2023-07-07T20:05:31.5108892Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5109057Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5109064Z 2023-07-07T20:05:31.5109324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5109454Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5109459Z 2023-07-07T20:05:31.5109719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5109844Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5109849Z 2023-07-07T20:05:31.5110118Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5110295Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5110302Z 2023-07-07T20:05:31.5110560Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5110655Z node.attribute.extend( 2023-07-07T20:05:31.5110660Z 2023-07-07T20:05:31.5110903Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5110991Z make_attribute(key, value) 2023-07-07T20:05:31.5110997Z 2023-07-07T20:05:31.5111261Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5111340Z raise ValueError( 2023-07-07T20:05:31.5111346Z 2023-07-07T20:05:31.5111523Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5111531Z 2023-07-07T20:05:31.5111592Z ``` 2023-07-07T20:05:31.5111714Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5112020Z - diagnostic_context: 2023-07-07T20:05:31.5112242Z - node: fx.Node(convolution_23[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5112443Z - symbolic_fn: 2023-07-07T20:05:31.5112561Z - torch_args: 2023-07-07T20:05:31.5112681Z - torch_kwargs: 2023-07-07T20:05:31.5112810Z - Return value: 2023-07-07T20:05:31.5113123Z [2023-07-07 20:00:28,051] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_46]. 2023-07-07T20:05:31.5113282Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5113288Z 2023-07-07T20:05:31.5113487Z [2023-07-07 20:00:28,051] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5113694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5113702Z 2023-07-07T20:05:31.5113909Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5114180Z - self: 2023-07-07T20:05:31.5114422Z - node: fx.Node(convert_element_type_46[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5114535Z - aten_name: 2023-07-07T20:05:31.5114734Z - function_overloads: 2023-07-07T20:05:31.5114855Z - onnx_args: 2023-07-07T20:05:31.5114972Z - onnx_kwargs: 2023-07-07T20:05:31.5115275Z - diagnostic_context: 2023-07-07T20:05:31.5115445Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5115792Z [2023-07-07 20:00:28,055] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_47]. 2023-07-07T20:05:31.5115978Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5115986Z 2023-07-07T20:05:31.5116184Z [2023-07-07 20:00:28,055] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5116419Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5116424Z 2023-07-07T20:05:31.5116609Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5116877Z - self: 2023-07-07T20:05:31.5117116Z - node: fx.Node(convert_element_type_47[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5117229Z - aten_name: 2023-07-07T20:05:31.5117350Z - function_overloads: 2023-07-07T20:05:31.5117466Z - onnx_args: 2023-07-07T20:05:31.5117584Z - onnx_kwargs: 2023-07-07T20:05:31.5117885Z - diagnostic_context: 2023-07-07T20:05:31.5118072Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5118327Z [2023-07-07 20:00:28,063] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_23]. 2023-07-07T20:05:31.5118459Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5118632Z [2023-07-07 20:00:28,063] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5118708Z ### Exception log 2023-07-07T20:05:31.5118769Z ``` 2023-07-07T20:05:31.5118864Z Traceback (most recent call last): 2023-07-07T20:05:31.5118870Z 2023-07-07T20:05:31.5119203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5119304Z torch.testing.assert_close( 2023-07-07T20:05:31.5119309Z 2023-07-07T20:05:31.5119596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5119693Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5119698Z 2023-07-07T20:05:31.5119854Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5119862Z 2023-07-07T20:05:31.5119943Z Mismatched elements: 23 / 48 (47.9%) 2023-07-07T20:05:31.5120077Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.5120214Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5120219Z 2023-07-07T20:05:31.5120282Z ``` 2023-07-07T20:05:31.5120402Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5120706Z - diagnostic_context: 2023-07-07T20:05:31.5120887Z - node: fx.Node(sqrt_23[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5121028Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5121133Z - torch_args: 2023-07-07T20:05:31.5121254Z - torch_kwargs: 2023-07-07T20:05:31.5121422Z - Return value: 2023-07-07T20:05:31.5121683Z [2023-07-07 20:00:28,066] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_23]. 2023-07-07T20:05:31.5121825Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5121831Z 2023-07-07T20:05:31.5122026Z [2023-07-07 20:00:28,066] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5122227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5122233Z 2023-07-07T20:05:31.5122414Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5122709Z - self: 2023-07-07T20:05:31.5122900Z - node: fx.Node(tensor_int_23[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5123011Z - aten_name: 2023-07-07T20:05:31.5123172Z - function_overloads: 2023-07-07T20:05:31.5123290Z - onnx_args: 2023-07-07T20:05:31.5123405Z - onnx_kwargs: 2023-07-07T20:05:31.5123740Z - diagnostic_context: 2023-07-07T20:05:31.5123886Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5124166Z [2023-07-07 20:00:28,080] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_184]. 2023-07-07T20:05:31.5124307Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5124313Z 2023-07-07T20:05:31.5124657Z [2023-07-07 20:00:28,080] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5124863Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5124869Z 2023-07-07T20:05:31.5125055Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5125333Z - self: 2023-07-07T20:05:31.5125540Z - node: fx.Node(unsqueeze_184[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5125656Z - aten_name: 2023-07-07T20:05:31.5125775Z - function_overloads: 2023-07-07T20:05:31.5125890Z - onnx_args: 2023-07-07T20:05:31.5126008Z - onnx_kwargs: 2023-07-07T20:05:31.5126312Z - diagnostic_context: 2023-07-07T20:05:31.5126469Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5126746Z [2023-07-07 20:00:28,082] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_185]. 2023-07-07T20:05:31.5126890Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5126896Z 2023-07-07T20:05:31.5127093Z [2023-07-07 20:00:28,083] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5127286Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5127305Z 2023-07-07T20:05:31.5127476Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5127743Z - self: 2023-07-07T20:05:31.5127946Z - node: fx.Node(unsqueeze_185[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5128060Z - aten_name: 2023-07-07T20:05:31.5128190Z - function_overloads: 2023-07-07T20:05:31.5128304Z - onnx_args: 2023-07-07T20:05:31.5128421Z - onnx_kwargs: 2023-07-07T20:05:31.5128711Z - diagnostic_context: 2023-07-07T20:05:31.5128868Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5129226Z [2023-07-07 20:00:28,085] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_186]. 2023-07-07T20:05:31.5129368Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5129376Z 2023-07-07T20:05:31.5129570Z [2023-07-07 20:00:28,085] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5129769Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5129775Z 2023-07-07T20:05:31.5129958Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5130223Z - self: 2023-07-07T20:05:31.5130472Z - node: fx.Node(unsqueeze_186[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5130576Z - aten_name: 2023-07-07T20:05:31.5130706Z - function_overloads: 2023-07-07T20:05:31.5130822Z - onnx_args: 2023-07-07T20:05:31.5130975Z - onnx_kwargs: 2023-07-07T20:05:31.5131283Z - diagnostic_context: 2023-07-07T20:05:31.5131477Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5131755Z [2023-07-07 20:00:28,088] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_187]. 2023-07-07T20:05:31.5131885Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5131903Z 2023-07-07T20:05:31.5132087Z [2023-07-07 20:00:28,088] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5132287Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5132293Z 2023-07-07T20:05:31.5132475Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5132741Z - self: 2023-07-07T20:05:31.5132948Z - node: fx.Node(unsqueeze_187[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5133062Z - aten_name: 2023-07-07T20:05:31.5133197Z - function_overloads: 2023-07-07T20:05:31.5133311Z - onnx_args: 2023-07-07T20:05:31.5133415Z - onnx_kwargs: 2023-07-07T20:05:31.5133719Z - diagnostic_context: 2023-07-07T20:05:31.5133875Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5134152Z [2023-07-07 20:00:28,099] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_188]. 2023-07-07T20:05:31.5134294Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5134299Z 2023-07-07T20:05:31.5134493Z [2023-07-07 20:00:28,099] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5134692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5134701Z 2023-07-07T20:05:31.5134883Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5135139Z - self: 2023-07-07T20:05:31.5135345Z - node: fx.Node(unsqueeze_188[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5135456Z - aten_name: 2023-07-07T20:05:31.5135588Z - function_overloads: 2023-07-07T20:05:31.5135703Z - onnx_args: 2023-07-07T20:05:31.5135819Z - onnx_kwargs: 2023-07-07T20:05:31.5136118Z - diagnostic_context: 2023-07-07T20:05:31.5136277Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5136543Z [2023-07-07 20:00:28,102] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_189]. 2023-07-07T20:05:31.5136731Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5136737Z 2023-07-07T20:05:31.5136932Z [2023-07-07 20:00:28,102] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5137134Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5137140Z 2023-07-07T20:05:31.5137320Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5137587Z - self: 2023-07-07T20:05:31.5137791Z - node: fx.Node(unsqueeze_189[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5137904Z - aten_name: 2023-07-07T20:05:31.5138056Z - function_overloads: 2023-07-07T20:05:31.5138172Z - onnx_args: 2023-07-07T20:05:31.5138287Z - onnx_kwargs: 2023-07-07T20:05:31.5138593Z - diagnostic_context: 2023-07-07T20:05:31.5138782Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5139061Z [2023-07-07 20:00:28,109] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_190]. 2023-07-07T20:05:31.5139232Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5139238Z 2023-07-07T20:05:31.5139433Z [2023-07-07 20:00:28,109] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5139623Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5139641Z 2023-07-07T20:05:31.5139810Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5140079Z - self: 2023-07-07T20:05:31.5140282Z - node: fx.Node(unsqueeze_190[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5140398Z - aten_name: 2023-07-07T20:05:31.5140530Z - function_overloads: 2023-07-07T20:05:31.5140645Z - onnx_args: 2023-07-07T20:05:31.5140762Z - onnx_kwargs: 2023-07-07T20:05:31.5141051Z - diagnostic_context: 2023-07-07T20:05:31.5141205Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5141481Z [2023-07-07 20:00:28,112] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_191]. 2023-07-07T20:05:31.5141623Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5141628Z 2023-07-07T20:05:31.5141823Z [2023-07-07 20:00:28,112] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5142026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5142032Z 2023-07-07T20:05:31.5142217Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5142481Z - self: 2023-07-07T20:05:31.5142688Z - node: fx.Node(unsqueeze_191[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5142788Z - aten_name: 2023-07-07T20:05:31.5142919Z - function_overloads: 2023-07-07T20:05:31.5143034Z - onnx_args: 2023-07-07T20:05:31.5143150Z - onnx_kwargs: 2023-07-07T20:05:31.5143453Z - diagnostic_context: 2023-07-07T20:05:31.5143609Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5143894Z [2023-07-07 20:00:28,129] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_24]. 2023-07-07T20:05:31.5144083Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5144092Z 2023-07-07T20:05:31.5144388Z [2023-07-07 20:00:28,129] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5144596Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5144604Z 2023-07-07T20:05:31.5144787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5145056Z - self: 2023-07-07T20:05:31.5145270Z - node: fx.Node(convolution_24[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5145383Z - aten_name: 2023-07-07T20:05:31.5145513Z - function_overloads: 2023-07-07T20:05:31.5145629Z - onnx_args: 2023-07-07T20:05:31.5145765Z - onnx_kwargs: 2023-07-07T20:05:31.5146070Z - diagnostic_context: 2023-07-07T20:05:31.5146325Z - Return value: 2023-07-07T20:05:31.5146613Z [2023-07-07 20:00:28,135] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_24]. 2023-07-07T20:05:31.5146803Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5147004Z [2023-07-07 20:00:28,135] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5147077Z ### Exception log 2023-07-07T20:05:31.5147137Z ``` 2023-07-07T20:05:31.5147221Z Traceback (most recent call last): 2023-07-07T20:05:31.5147227Z 2023-07-07T20:05:31.5147560Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5147686Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5147692Z 2023-07-07T20:05:31.5147952Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5148051Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5148058Z 2023-07-07T20:05:31.5148374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5148471Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5148476Z 2023-07-07T20:05:31.5148733Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5148869Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5148874Z 2023-07-07T20:05:31.5149134Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5149271Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5149278Z 2023-07-07T20:05:31.5149607Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5149687Z result = op.Conv( 2023-07-07T20:05:31.5149694Z 2023-07-07T20:05:31.5149977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5150049Z return op( 2023-07-07T20:05:31.5150055Z 2023-07-07T20:05:31.5150351Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5150506Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5150511Z 2023-07-07T20:05:31.5150771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5150902Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5150908Z 2023-07-07T20:05:31.5151157Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5151281Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5151289Z 2023-07-07T20:05:31.5151596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5151775Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5151781Z 2023-07-07T20:05:31.5152034Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5152125Z node.attribute.extend( 2023-07-07T20:05:31.5152130Z 2023-07-07T20:05:31.5152381Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5152469Z make_attribute(key, value) 2023-07-07T20:05:31.5152474Z 2023-07-07T20:05:31.5152765Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5152845Z raise ValueError( 2023-07-07T20:05:31.5152851Z 2023-07-07T20:05:31.5153041Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5153046Z 2023-07-07T20:05:31.5153108Z ``` 2023-07-07T20:05:31.5153230Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5153569Z - diagnostic_context: 2023-07-07T20:05:31.5153787Z - node: fx.Node(convolution_24[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5153998Z - symbolic_fn: 2023-07-07T20:05:31.5154116Z - torch_args: 2023-07-07T20:05:31.5154234Z - torch_kwargs: 2023-07-07T20:05:31.5154350Z - Return value: 2023-07-07T20:05:31.5154751Z [2023-07-07 20:00:28,140] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_48]. 2023-07-07T20:05:31.5154993Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5155006Z 2023-07-07T20:05:31.5155223Z [2023-07-07 20:00:28,140] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5155423Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5155431Z 2023-07-07T20:05:31.5155615Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5155887Z - self: 2023-07-07T20:05:31.5156128Z - node: fx.Node(convert_element_type_48[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5156230Z - aten_name: 2023-07-07T20:05:31.5156364Z - function_overloads: 2023-07-07T20:05:31.5156478Z - onnx_args: 2023-07-07T20:05:31.5156599Z - onnx_kwargs: 2023-07-07T20:05:31.5156903Z - diagnostic_context: 2023-07-07T20:05:31.5157094Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5157407Z [2023-07-07 20:00:28,143] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_49]. 2023-07-07T20:05:31.5157568Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5157575Z 2023-07-07T20:05:31.5157761Z [2023-07-07 20:00:28,143] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5157963Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5157969Z 2023-07-07T20:05:31.5158155Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5158426Z - self: 2023-07-07T20:05:31.5158666Z - node: fx.Node(convert_element_type_49[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5158782Z - aten_name: 2023-07-07T20:05:31.5158968Z - function_overloads: 2023-07-07T20:05:31.5159087Z - onnx_args: 2023-07-07T20:05:31.5159192Z - onnx_kwargs: 2023-07-07T20:05:31.5159495Z - diagnostic_context: 2023-07-07T20:05:31.5159675Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5159930Z [2023-07-07 20:00:28,152] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_24]. 2023-07-07T20:05:31.5160063Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5160249Z [2023-07-07 20:00:28,152] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5160323Z ### Exception log 2023-07-07T20:05:31.5160449Z ``` 2023-07-07T20:05:31.5160533Z Traceback (most recent call last): 2023-07-07T20:05:31.5160539Z 2023-07-07T20:05:31.5160872Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5160998Z torch.testing.assert_close( 2023-07-07T20:05:31.5161004Z 2023-07-07T20:05:31.5161320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5161414Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5161420Z 2023-07-07T20:05:31.5161578Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5161584Z 2023-07-07T20:05:31.5161676Z Mismatched elements: 26 / 48 (54.2%) 2023-07-07T20:05:31.5161814Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5161950Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5161956Z 2023-07-07T20:05:31.5162008Z ``` 2023-07-07T20:05:31.5162131Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5162438Z - diagnostic_context: 2023-07-07T20:05:31.5162625Z - node: fx.Node(sqrt_24[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5162770Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5162890Z - torch_args: 2023-07-07T20:05:31.5163009Z - torch_kwargs: 2023-07-07T20:05:31.5163125Z - Return value: 2023-07-07T20:05:31.5163385Z [2023-07-07 20:00:28,155] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_24]. 2023-07-07T20:05:31.5163526Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5163532Z 2023-07-07T20:05:31.5163730Z [2023-07-07 20:00:28,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5163934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5163940Z 2023-07-07T20:05:31.5164124Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5164507Z - self: 2023-07-07T20:05:31.5164720Z - node: fx.Node(tensor_int_24[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5164836Z - aten_name: 2023-07-07T20:05:31.5164954Z - function_overloads: 2023-07-07T20:05:31.5165070Z - onnx_args: 2023-07-07T20:05:31.5165187Z - onnx_kwargs: 2023-07-07T20:05:31.5165494Z - diagnostic_context: 2023-07-07T20:05:31.5165653Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5165931Z [2023-07-07 20:00:28,168] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_192]. 2023-07-07T20:05:31.5166075Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5166081Z 2023-07-07T20:05:31.5166277Z [2023-07-07 20:00:28,168] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5166539Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5166548Z 2023-07-07T20:05:31.5166733Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5167004Z - self: 2023-07-07T20:05:31.5167213Z - node: fx.Node(unsqueeze_192[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5167326Z - aten_name: 2023-07-07T20:05:31.5167459Z - function_overloads: 2023-07-07T20:05:31.5167575Z - onnx_args: 2023-07-07T20:05:31.5167691Z - onnx_kwargs: 2023-07-07T20:05:31.5168021Z - diagnostic_context: 2023-07-07T20:05:31.5168180Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5168462Z [2023-07-07 20:00:28,171] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_193]. 2023-07-07T20:05:31.5168642Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5168686Z 2023-07-07T20:05:31.5168885Z [2023-07-07 20:00:28,171] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5169091Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5169097Z 2023-07-07T20:05:31.5169281Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5169552Z - self: 2023-07-07T20:05:31.5169760Z - node: fx.Node(unsqueeze_193[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5169861Z - aten_name: 2023-07-07T20:05:31.5169994Z - function_overloads: 2023-07-07T20:05:31.5170110Z - onnx_args: 2023-07-07T20:05:31.5170230Z - onnx_kwargs: 2023-07-07T20:05:31.5170536Z - diagnostic_context: 2023-07-07T20:05:31.5170695Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5170972Z [2023-07-07 20:00:28,174] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_194]. 2023-07-07T20:05:31.5171103Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5171108Z 2023-07-07T20:05:31.5171305Z [2023-07-07 20:00:28,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5171505Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5171511Z 2023-07-07T20:05:31.5171695Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5171961Z - self: 2023-07-07T20:05:31.5172172Z - node: fx.Node(unsqueeze_194[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5172286Z - aten_name: 2023-07-07T20:05:31.5172420Z - function_overloads: 2023-07-07T20:05:31.5172534Z - onnx_args: 2023-07-07T20:05:31.5172638Z - onnx_kwargs: 2023-07-07T20:05:31.5172942Z - diagnostic_context: 2023-07-07T20:05:31.5173098Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5173374Z [2023-07-07 20:00:28,177] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_195]. 2023-07-07T20:05:31.5173513Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5173519Z 2023-07-07T20:05:31.5173715Z [2023-07-07 20:00:28,177] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5173915Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5173949Z 2023-07-07T20:05:31.5174132Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5174389Z - self: 2023-07-07T20:05:31.5174594Z - node: fx.Node(unsqueeze_195[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5174706Z - aten_name: 2023-07-07T20:05:31.5174836Z - function_overloads: 2023-07-07T20:05:31.5174950Z - onnx_args: 2023-07-07T20:05:31.5175066Z - onnx_kwargs: 2023-07-07T20:05:31.5175368Z - diagnostic_context: 2023-07-07T20:05:31.5175561Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5175829Z [2023-07-07 20:00:28,188] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_196]. 2023-07-07T20:05:31.5175997Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5176005Z 2023-07-07T20:05:31.5176202Z [2023-07-07 20:00:28,188] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5176430Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5176435Z 2023-07-07T20:05:31.5176687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5176959Z - self: 2023-07-07T20:05:31.5177165Z - node: fx.Node(unsqueeze_196[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5177278Z - aten_name: 2023-07-07T20:05:31.5177399Z - function_overloads: 2023-07-07T20:05:31.5177569Z - onnx_args: 2023-07-07T20:05:31.5177686Z - onnx_kwargs: 2023-07-07T20:05:31.5177987Z - diagnostic_context: 2023-07-07T20:05:31.5178147Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5178424Z [2023-07-07 20:00:28,191] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_197]. 2023-07-07T20:05:31.5178568Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5178574Z 2023-07-07T20:05:31.5178766Z [2023-07-07 20:00:28,191] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5178954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5178973Z 2023-07-07T20:05:31.5179143Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5179412Z - self: 2023-07-07T20:05:31.5179617Z - node: fx.Node(unsqueeze_197[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5179731Z - aten_name: 2023-07-07T20:05:31.5179864Z - function_overloads: 2023-07-07T20:05:31.5179978Z - onnx_args: 2023-07-07T20:05:31.5180097Z - onnx_kwargs: 2023-07-07T20:05:31.5180385Z - diagnostic_context: 2023-07-07T20:05:31.5180542Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5180821Z [2023-07-07 20:00:28,198] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_198]. 2023-07-07T20:05:31.5180963Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5180969Z 2023-07-07T20:05:31.5181165Z [2023-07-07 20:00:28,198] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5181365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5181371Z 2023-07-07T20:05:31.5181591Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5181862Z - self: 2023-07-07T20:05:31.5182068Z - node: fx.Node(unsqueeze_198[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5182168Z - aten_name: 2023-07-07T20:05:31.5182300Z - function_overloads: 2023-07-07T20:05:31.5182414Z - onnx_args: 2023-07-07T20:05:31.5182531Z - onnx_kwargs: 2023-07-07T20:05:31.5182834Z - diagnostic_context: 2023-07-07T20:05:31.5182990Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5183294Z [2023-07-07 20:00:28,201] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_199]. 2023-07-07T20:05:31.5183424Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5183442Z 2023-07-07T20:05:31.5183660Z [2023-07-07 20:00:28,201] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5183859Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5183891Z 2023-07-07T20:05:31.5184073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5184335Z - self: 2023-07-07T20:05:31.5184542Z - node: fx.Node(unsqueeze_199[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5184655Z - aten_name: 2023-07-07T20:05:31.5184786Z - function_overloads: 2023-07-07T20:05:31.5184900Z - onnx_args: 2023-07-07T20:05:31.5185006Z - onnx_kwargs: 2023-07-07T20:05:31.5185309Z - diagnostic_context: 2023-07-07T20:05:31.5185466Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5185755Z [2023-07-07 20:00:28,209] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_25]. 2023-07-07T20:05:31.5185902Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5185908Z 2023-07-07T20:05:31.5186106Z [2023-07-07 20:00:28,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5186308Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5186314Z 2023-07-07T20:05:31.5186497Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5186763Z - self: 2023-07-07T20:05:31.5186967Z - node: fx.Node(convolution_25[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5187081Z - aten_name: 2023-07-07T20:05:31.5187214Z - function_overloads: 2023-07-07T20:05:31.5187331Z - onnx_args: 2023-07-07T20:05:31.5187448Z - onnx_kwargs: 2023-07-07T20:05:31.5187751Z - diagnostic_context: 2023-07-07T20:05:31.5187964Z - Return value: 2023-07-07T20:05:31.5188236Z [2023-07-07 20:00:28,214] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_25]. 2023-07-07T20:05:31.5188379Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5188579Z [2023-07-07 20:00:28,215] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5188653Z ### Exception log 2023-07-07T20:05:31.5188714Z ``` 2023-07-07T20:05:31.5188812Z Traceback (most recent call last): 2023-07-07T20:05:31.5188817Z 2023-07-07T20:05:31.5189147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5189300Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5189307Z 2023-07-07T20:05:31.5189556Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5189654Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5189659Z 2023-07-07T20:05:31.5189977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5190072Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5190077Z 2023-07-07T20:05:31.5190337Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5190510Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5190517Z 2023-07-07T20:05:31.5190792Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5190960Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5190965Z 2023-07-07T20:05:31.5191291Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5191399Z result = op.Conv( 2023-07-07T20:05:31.5191404Z 2023-07-07T20:05:31.5191677Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5191748Z return op( 2023-07-07T20:05:31.5191753Z 2023-07-07T20:05:31.5192012Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5192140Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5192147Z 2023-07-07T20:05:31.5192407Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5192539Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5192546Z 2023-07-07T20:05:31.5192806Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5192932Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5192938Z 2023-07-07T20:05:31.5193201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5193377Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5193382Z 2023-07-07T20:05:31.5193624Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5193715Z node.attribute.extend( 2023-07-07T20:05:31.5193722Z 2023-07-07T20:05:31.5193974Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5194063Z make_attribute(key, value) 2023-07-07T20:05:31.5194070Z 2023-07-07T20:05:31.5194329Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5194412Z raise ValueError( 2023-07-07T20:05:31.5194418Z 2023-07-07T20:05:31.5194589Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5194595Z 2023-07-07T20:05:31.5194743Z ``` 2023-07-07T20:05:31.5194868Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5195167Z - diagnostic_context: 2023-07-07T20:05:31.5195383Z - node: fx.Node(convolution_25[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5195596Z - symbolic_fn: 2023-07-07T20:05:31.5195715Z - torch_args: 2023-07-07T20:05:31.5195835Z - torch_kwargs: 2023-07-07T20:05:31.5195963Z - Return value: 2023-07-07T20:05:31.5196314Z [2023-07-07 20:00:28,220] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_50]. 2023-07-07T20:05:31.5196478Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5196484Z 2023-07-07T20:05:31.5196671Z [2023-07-07 20:00:28,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5196871Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5196877Z 2023-07-07T20:05:31.5197057Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5197327Z - self: 2023-07-07T20:05:31.5197598Z - node: fx.Node(convert_element_type_50[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5197713Z - aten_name: 2023-07-07T20:05:31.5197875Z - function_overloads: 2023-07-07T20:05:31.5197992Z - onnx_args: 2023-07-07T20:05:31.5198095Z - onnx_kwargs: 2023-07-07T20:05:31.5198399Z - diagnostic_context: 2023-07-07T20:05:31.5198622Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5198931Z [2023-07-07 20:00:28,223] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_51]. 2023-07-07T20:05:31.5199088Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5199093Z 2023-07-07T20:05:31.5199291Z [2023-07-07 20:00:28,223] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5199494Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5199500Z 2023-07-07T20:05:31.5199681Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5199952Z - self: 2023-07-07T20:05:31.5200183Z - node: fx.Node(convert_element_type_51[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5200296Z - aten_name: 2023-07-07T20:05:31.5200428Z - function_overloads: 2023-07-07T20:05:31.5200545Z - onnx_args: 2023-07-07T20:05:31.5200661Z - onnx_kwargs: 2023-07-07T20:05:31.5200963Z - diagnostic_context: 2023-07-07T20:05:31.5201147Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5201400Z [2023-07-07 20:00:28,231] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_25]. 2023-07-07T20:05:31.5201520Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5201705Z [2023-07-07 20:00:28,231] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5201784Z ### Exception log 2023-07-07T20:05:31.5201845Z ``` 2023-07-07T20:05:31.5201941Z Traceback (most recent call last): 2023-07-07T20:05:31.5201949Z 2023-07-07T20:05:31.5202278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5202374Z torch.testing.assert_close( 2023-07-07T20:05:31.5202379Z 2023-07-07T20:05:31.5202664Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5202745Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5202750Z 2023-07-07T20:05:31.5202906Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5202912Z 2023-07-07T20:05:31.5203007Z Mismatched elements: 25 / 48 (52.1%) 2023-07-07T20:05:31.5203144Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5203281Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5203317Z 2023-07-07T20:05:31.5203378Z ``` 2023-07-07T20:05:31.5203499Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5203805Z - diagnostic_context: 2023-07-07T20:05:31.5203974Z - node: fx.Node(sqrt_25[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5204116Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5204232Z - torch_args: 2023-07-07T20:05:31.5204350Z - torch_kwargs: 2023-07-07T20:05:31.5204968Z - Return value: 2023-07-07T20:05:31.5205395Z [2023-07-07 20:00:28,235] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_25]. 2023-07-07T20:05:31.5205767Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5205777Z 2023-07-07T20:05:31.5206083Z [2023-07-07 20:00:28,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5206438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5206490Z 2023-07-07T20:05:31.5206764Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5207174Z - self: 2023-07-07T20:05:31.5207461Z - node: fx.Node(tensor_int_25[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5207630Z - aten_name: 2023-07-07T20:05:31.5207829Z - function_overloads: 2023-07-07T20:05:31.5208006Z - onnx_args: 2023-07-07T20:05:31.5208182Z - onnx_kwargs: 2023-07-07T20:05:31.5208632Z - diagnostic_context: 2023-07-07T20:05:31.5208871Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5209297Z [2023-07-07 20:00:28,244] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_200]. 2023-07-07T20:05:31.5209511Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5209522Z 2023-07-07T20:05:31.5209821Z [2023-07-07 20:00:28,244] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5210123Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5210131Z 2023-07-07T20:05:31.5210406Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5210808Z - self: 2023-07-07T20:05:31.5211122Z - node: fx.Node(unsqueeze_200[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5211284Z - aten_name: 2023-07-07T20:05:31.5211485Z - function_overloads: 2023-07-07T20:05:31.5211660Z - onnx_args: 2023-07-07T20:05:31.5211839Z - onnx_kwargs: 2023-07-07T20:05:31.5212296Z - diagnostic_context: 2023-07-07T20:05:31.5212538Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5212970Z [2023-07-07 20:00:28,246] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_201]. 2023-07-07T20:05:31.5213167Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5213174Z 2023-07-07T20:05:31.5213472Z [2023-07-07 20:00:28,246] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5213775Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5213783Z 2023-07-07T20:05:31.5214061Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5214465Z - self: 2023-07-07T20:05:31.5214835Z - node: fx.Node(unsqueeze_201[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5215007Z - aten_name: 2023-07-07T20:05:31.5215213Z - function_overloads: 2023-07-07T20:05:31.5215376Z - onnx_args: 2023-07-07T20:05:31.5215553Z - onnx_kwargs: 2023-07-07T20:05:31.5216015Z - diagnostic_context: 2023-07-07T20:05:31.5216254Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5216675Z [2023-07-07 20:00:28,248] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_202]. 2023-07-07T20:05:31.5216883Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5216891Z 2023-07-07T20:05:31.5217224Z [2023-07-07 20:00:28,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5217525Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5217565Z 2023-07-07T20:05:31.5217845Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5218264Z - self: 2023-07-07T20:05:31.5218574Z - node: fx.Node(unsqueeze_202[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5218745Z - aten_name: 2023-07-07T20:05:31.5218945Z - function_overloads: 2023-07-07T20:05:31.5219119Z - onnx_args: 2023-07-07T20:05:31.5219296Z - onnx_kwargs: 2023-07-07T20:05:31.5219754Z - diagnostic_context: 2023-07-07T20:05:31.5219982Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5220407Z [2023-07-07 20:00:28,251] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_203]. 2023-07-07T20:05:31.5220618Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5220629Z 2023-07-07T20:05:31.5220928Z [2023-07-07 20:00:28,251] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5221237Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5221246Z 2023-07-07T20:05:31.5221520Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5221926Z - self: 2023-07-07T20:05:31.5222239Z - node: fx.Node(unsqueeze_203[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5222410Z - aten_name: 2023-07-07T20:05:31.5222599Z - function_overloads: 2023-07-07T20:05:31.5222777Z - onnx_args: 2023-07-07T20:05:31.5222952Z - onnx_kwargs: 2023-07-07T20:05:31.5223407Z - diagnostic_context: 2023-07-07T20:05:31.5223650Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5224076Z [2023-07-07 20:00:28,259] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_204]. 2023-07-07T20:05:31.5224287Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5224295Z 2023-07-07T20:05:31.5224592Z [2023-07-07 20:00:28,259] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5224883Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5224905Z 2023-07-07T20:05:31.5225167Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5225573Z - self: 2023-07-07T20:05:31.5225884Z - node: fx.Node(unsqueeze_204[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5226057Z - aten_name: 2023-07-07T20:05:31.5226289Z - function_overloads: 2023-07-07T20:05:31.5226465Z - onnx_args: 2023-07-07T20:05:31.5226647Z - onnx_kwargs: 2023-07-07T20:05:31.5227095Z - diagnostic_context: 2023-07-07T20:05:31.5227330Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5227759Z [2023-07-07 20:00:28,261] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_205]. 2023-07-07T20:05:31.5227973Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5227981Z 2023-07-07T20:05:31.5228280Z [2023-07-07 20:00:28,261] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5228617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5228626Z 2023-07-07T20:05:31.5228898Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5229337Z - self: 2023-07-07T20:05:31.5229687Z - node: fx.Node(unsqueeze_205[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5229845Z - aten_name: 2023-07-07T20:05:31.5230041Z - function_overloads: 2023-07-07T20:05:31.5230219Z - onnx_args: 2023-07-07T20:05:31.5230393Z - onnx_kwargs: 2023-07-07T20:05:31.5230851Z - diagnostic_context: 2023-07-07T20:05:31.5231089Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5231515Z [2023-07-07 20:00:28,266] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_206]. 2023-07-07T20:05:31.5231713Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5231735Z 2023-07-07T20:05:31.5232024Z [2023-07-07 20:00:28,266] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5232324Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5232335Z 2023-07-07T20:05:31.5232607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5233014Z - self: 2023-07-07T20:05:31.5233325Z - node: fx.Node(unsqueeze_206[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5233497Z - aten_name: 2023-07-07T20:05:31.5233699Z - function_overloads: 2023-07-07T20:05:31.5233869Z - onnx_args: 2023-07-07T20:05:31.5234034Z - onnx_kwargs: 2023-07-07T20:05:31.5234500Z - diagnostic_context: 2023-07-07T20:05:31.5234815Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5235246Z [2023-07-07 20:00:28,268] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_207]. 2023-07-07T20:05:31.5235456Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5235467Z 2023-07-07T20:05:31.5235764Z [2023-07-07 20:00:28,269] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5236069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5236077Z 2023-07-07T20:05:31.5236351Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5236741Z - self: 2023-07-07T20:05:31.5237057Z - node: fx.Node(unsqueeze_207[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5237227Z - aten_name: 2023-07-07T20:05:31.5237427Z - function_overloads: 2023-07-07T20:05:31.5237601Z - onnx_args: 2023-07-07T20:05:31.5237818Z - onnx_kwargs: 2023-07-07T20:05:31.5238275Z - diagnostic_context: 2023-07-07T20:05:31.5238514Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5238873Z [2023-07-07 20:00:28,285] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_6]. 2023-07-07T20:05:31.5239066Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5239074Z 2023-07-07T20:05:31.5239371Z [2023-07-07 20:00:28,285] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5239674Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5239745Z 2023-07-07T20:05:31.5240025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5240428Z - self: 2023-07-07T20:05:31.5240728Z - node: fx.Node(cat_6[call_function]'aten.cat.default') 2023-07-07T20:05:31.5240898Z - aten_name: 2023-07-07T20:05:31.5241117Z - function_overloads: 2023-07-07T20:05:31.5241292Z - onnx_args: 2023-07-07T20:05:31.5241470Z - onnx_kwargs: 2023-07-07T20:05:31.5241929Z - diagnostic_context: 2023-07-07T20:05:31.5242145Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.5242545Z [2023-07-07 20:00:28,293] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_6]. 2023-07-07T20:05:31.5242758Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5242767Z 2023-07-07T20:05:31.5243050Z [2023-07-07 20:00:28,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5243327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5243358Z 2023-07-07T20:05:31.5243614Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5243931Z - self: 2023-07-07T20:05:31.5244127Z - node: fx.Node(transpose_6[call_function]'aten.transpose.int') 2023-07-07T20:05:31.5244240Z - aten_name: 2023-07-07T20:05:31.5244370Z - function_overloads: 2023-07-07T20:05:31.5244669Z - onnx_args: 2023-07-07T20:05:31.5244791Z - onnx_kwargs: 2023-07-07T20:05:31.5245083Z - diagnostic_context: 2023-07-07T20:05:31.5245297Z - Return value: 2023-07-07T20:05:31.5245553Z [2023-07-07 20:00:28,296] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_6]. 2023-07-07T20:05:31.5245694Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5245700Z 2023-07-07T20:05:31.5245897Z [2023-07-07 20:00:28,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5246101Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5246107Z 2023-07-07T20:05:31.5246289Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5246555Z - self: 2023-07-07T20:05:31.5246740Z - node: fx.Node(clone_6[call_function]'aten.clone.default') 2023-07-07T20:05:31.5246840Z - aten_name: 2023-07-07T20:05:31.5246975Z - function_overloads: 2023-07-07T20:05:31.5247090Z - onnx_args: 2023-07-07T20:05:31.5247205Z - onnx_kwargs: 2023-07-07T20:05:31.5247508Z - diagnostic_context: 2023-07-07T20:05:31.5247748Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.5248006Z [2023-07-07 20:00:28,303] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_5]. 2023-07-07T20:05:31.5248131Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5248150Z 2023-07-07T20:05:31.5248333Z [2023-07-07 20:00:28,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5248532Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5248538Z 2023-07-07T20:05:31.5248719Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5249020Z - self: 2023-07-07T20:05:31.5249207Z - node: fx.Node(split_5[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.5249359Z - aten_name: 2023-07-07T20:05:31.5249492Z - function_overloads: 2023-07-07T20:05:31.5249605Z - onnx_args: 2023-07-07T20:05:31.5249708Z - onnx_kwargs: 2023-07-07T20:05:31.5250080Z - diagnostic_context: 2023-07-07T20:05:31.5250227Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.5250500Z [2023-07-07 20:00:28,307] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_12]. 2023-07-07T20:05:31.5250636Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5250642Z 2023-07-07T20:05:31.5250837Z [2023-07-07 20:00:28,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5251042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5251047Z 2023-07-07T20:05:31.5251230Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5251489Z - self: 2023-07-07T20:05:31.5251694Z - node: fx.Node(getitem_12[call_function]'') 2023-07-07T20:05:31.5251807Z - aten_name: 2023-07-07T20:05:31.5251939Z - function_overloads: 2023-07-07T20:05:31.5252054Z - onnx_args: 2023-07-07T20:05:31.5252170Z - onnx_kwargs: 2023-07-07T20:05:31.5252473Z - diagnostic_context: 2023-07-07T20:05:31.5252623Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5252884Z [2023-07-07 20:00:28,309] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_13]. 2023-07-07T20:05:31.5253022Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5253028Z 2023-07-07T20:05:31.5253224Z [2023-07-07 20:00:28,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5253431Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5253438Z 2023-07-07T20:05:31.5253622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5253889Z - self: 2023-07-07T20:05:31.5254088Z - node: fx.Node(getitem_13[call_function]'') 2023-07-07T20:05:31.5254200Z - aten_name: 2023-07-07T20:05:31.5254319Z - function_overloads: 2023-07-07T20:05:31.5254433Z - onnx_args: 2023-07-07T20:05:31.5254549Z - onnx_kwargs: 2023-07-07T20:05:31.5254854Z - diagnostic_context: 2023-07-07T20:05:31.5255006Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5255319Z [2023-07-07 20:00:28,311] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_26]. 2023-07-07T20:05:31.5255466Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5255474Z 2023-07-07T20:05:31.5255669Z [2023-07-07 20:00:28,311] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5255856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5255874Z 2023-07-07T20:05:31.5256046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5256311Z - self: 2023-07-07T20:05:31.5256551Z - node: fx.Node(convolution_26[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5256666Z - aten_name: 2023-07-07T20:05:31.5256797Z - function_overloads: 2023-07-07T20:05:31.5256940Z - onnx_args: 2023-07-07T20:05:31.5257059Z - onnx_kwargs: 2023-07-07T20:05:31.5257351Z - diagnostic_context: 2023-07-07T20:05:31.5257588Z - Return value: 2023-07-07T20:05:31.5257873Z [2023-07-07 20:00:28,317] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_26]. 2023-07-07T20:05:31.5258015Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5258213Z [2023-07-07 20:00:28,317] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5258285Z ### Exception log 2023-07-07T20:05:31.5258348Z ``` 2023-07-07T20:05:31.5258443Z Traceback (most recent call last): 2023-07-07T20:05:31.5258451Z 2023-07-07T20:05:31.5258770Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5258895Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5258903Z 2023-07-07T20:05:31.5259162Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5259259Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5259264Z 2023-07-07T20:05:31.5259585Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5259679Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5259684Z 2023-07-07T20:05:31.5259943Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5260078Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5260086Z 2023-07-07T20:05:31.5260361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5260499Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5260507Z 2023-07-07T20:05:31.5260819Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5260899Z result = op.Conv( 2023-07-07T20:05:31.5260905Z 2023-07-07T20:05:31.5261188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5261258Z return op( 2023-07-07T20:05:31.5261263Z 2023-07-07T20:05:31.5261519Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5261645Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5261650Z 2023-07-07T20:05:31.5261913Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5262040Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5262048Z 2023-07-07T20:05:31.5262333Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5262460Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5262466Z 2023-07-07T20:05:31.5262719Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5262894Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5262900Z 2023-07-07T20:05:31.5263151Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5263242Z node.attribute.extend( 2023-07-07T20:05:31.5263248Z 2023-07-07T20:05:31.5263526Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5263615Z make_attribute(key, value) 2023-07-07T20:05:31.5263649Z 2023-07-07T20:05:31.5263913Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5263997Z raise ValueError( 2023-07-07T20:05:31.5264039Z 2023-07-07T20:05:31.5264209Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5264214Z 2023-07-07T20:05:31.5264274Z ``` 2023-07-07T20:05:31.5264382Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5264689Z - diagnostic_context: 2023-07-07T20:05:31.5264906Z - node: fx.Node(convolution_26[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5265115Z - symbolic_fn: 2023-07-07T20:05:31.5265234Z - torch_args: 2023-07-07T20:05:31.5265354Z - torch_kwargs: 2023-07-07T20:05:31.5265482Z - Return value: 2023-07-07T20:05:31.5265790Z [2023-07-07 20:00:28,322] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_52]. 2023-07-07T20:05:31.5265950Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5265958Z 2023-07-07T20:05:31.5266154Z [2023-07-07 20:00:28,322] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5266357Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5266362Z 2023-07-07T20:05:31.5266545Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5266813Z - self: 2023-07-07T20:05:31.5267057Z - node: fx.Node(convert_element_type_52[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5267170Z - aten_name: 2023-07-07T20:05:31.5267301Z - function_overloads: 2023-07-07T20:05:31.5267406Z - onnx_args: 2023-07-07T20:05:31.5267523Z - onnx_kwargs: 2023-07-07T20:05:31.5267825Z - diagnostic_context: 2023-07-07T20:05:31.5268010Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5268318Z [2023-07-07 20:00:28,325] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_53]. 2023-07-07T20:05:31.5268477Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5268483Z 2023-07-07T20:05:31.5268682Z [2023-07-07 20:00:28,325] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5268888Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5268894Z 2023-07-07T20:05:31.5269064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5269366Z - self: 2023-07-07T20:05:31.5269609Z - node: fx.Node(convert_element_type_53[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5269725Z - aten_name: 2023-07-07T20:05:31.5269855Z - function_overloads: 2023-07-07T20:05:31.5269970Z - onnx_args: 2023-07-07T20:05:31.5270087Z - onnx_kwargs: 2023-07-07T20:05:31.5270390Z - diagnostic_context: 2023-07-07T20:05:31.5270560Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5270841Z [2023-07-07 20:00:28,333] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_26]. 2023-07-07T20:05:31.5270976Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5271162Z [2023-07-07 20:00:28,333] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5271267Z ### Exception log 2023-07-07T20:05:31.5271329Z ``` 2023-07-07T20:05:31.5271425Z Traceback (most recent call last): 2023-07-07T20:05:31.5271431Z 2023-07-07T20:05:31.5271790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5271873Z torch.testing.assert_close( 2023-07-07T20:05:31.5271878Z 2023-07-07T20:05:31.5272160Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5272253Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5272258Z 2023-07-07T20:05:31.5272414Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5272420Z 2023-07-07T20:05:31.5272513Z Mismatched elements: 26 / 48 (54.2%) 2023-07-07T20:05:31.5272648Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.5272784Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5272791Z 2023-07-07T20:05:31.5272853Z ``` 2023-07-07T20:05:31.5272961Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5273270Z - diagnostic_context: 2023-07-07T20:05:31.5273449Z - node: fx.Node(sqrt_26[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5273591Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5273709Z - torch_args: 2023-07-07T20:05:31.5273828Z - torch_kwargs: 2023-07-07T20:05:31.5273955Z - Return value: 2023-07-07T20:05:31.5274214Z [2023-07-07 20:00:28,337] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_26]. 2023-07-07T20:05:31.5274345Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5274351Z 2023-07-07T20:05:31.5274546Z [2023-07-07 20:00:28,337] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5274843Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5274850Z 2023-07-07T20:05:31.5275034Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5275309Z - self: 2023-07-07T20:05:31.5275494Z - node: fx.Node(tensor_int_26[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5275607Z - aten_name: 2023-07-07T20:05:31.5275739Z - function_overloads: 2023-07-07T20:05:31.5275840Z - onnx_args: 2023-07-07T20:05:31.5275957Z - onnx_kwargs: 2023-07-07T20:05:31.5276263Z - diagnostic_context: 2023-07-07T20:05:31.5276422Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5276702Z [2023-07-07 20:00:28,349] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_208]. 2023-07-07T20:05:31.5276883Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5276889Z 2023-07-07T20:05:31.5277091Z [2023-07-07 20:00:28,349] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5277292Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5277298Z 2023-07-07T20:05:31.5277483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5277738Z - self: 2023-07-07T20:05:31.5277946Z - node: fx.Node(unsqueeze_208[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5278097Z - aten_name: 2023-07-07T20:05:31.5278232Z - function_overloads: 2023-07-07T20:05:31.5278346Z - onnx_args: 2023-07-07T20:05:31.5278463Z - onnx_kwargs: 2023-07-07T20:05:31.5278804Z - diagnostic_context: 2023-07-07T20:05:31.5278949Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5279262Z [2023-07-07 20:00:28,352] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_209]. 2023-07-07T20:05:31.5279403Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5279408Z 2023-07-07T20:05:31.5279603Z [2023-07-07 20:00:28,352] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5279803Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5279809Z 2023-07-07T20:05:31.5279994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5280267Z - self: 2023-07-07T20:05:31.5280476Z - node: fx.Node(unsqueeze_209[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5280591Z - aten_name: 2023-07-07T20:05:31.5280709Z - function_overloads: 2023-07-07T20:05:31.5280829Z - onnx_args: 2023-07-07T20:05:31.5280948Z - onnx_kwargs: 2023-07-07T20:05:31.5281255Z - diagnostic_context: 2023-07-07T20:05:31.5281412Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5281689Z [2023-07-07 20:00:28,355] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_210]. 2023-07-07T20:05:31.5281831Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5281837Z 2023-07-07T20:05:31.5282033Z [2023-07-07 20:00:28,355] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5282222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5282230Z 2023-07-07T20:05:31.5282415Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5282680Z - self: 2023-07-07T20:05:31.5282888Z - node: fx.Node(unsqueeze_210[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5283001Z - aten_name: 2023-07-07T20:05:31.5283133Z - function_overloads: 2023-07-07T20:05:31.5283250Z - onnx_args: 2023-07-07T20:05:31.5283367Z - onnx_kwargs: 2023-07-07T20:05:31.5283656Z - diagnostic_context: 2023-07-07T20:05:31.5283814Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5284091Z [2023-07-07 20:00:28,357] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_211]. 2023-07-07T20:05:31.5284233Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5284240Z 2023-07-07T20:05:31.5284679Z [2023-07-07 20:00:28,358] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5284921Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5284927Z 2023-07-07T20:05:31.5285111Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5285384Z - self: 2023-07-07T20:05:31.5285592Z - node: fx.Node(unsqueeze_211[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5285693Z - aten_name: 2023-07-07T20:05:31.5285825Z - function_overloads: 2023-07-07T20:05:31.5285980Z - onnx_args: 2023-07-07T20:05:31.5286100Z - onnx_kwargs: 2023-07-07T20:05:31.5286405Z - diagnostic_context: 2023-07-07T20:05:31.5286603Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5286883Z [2023-07-07 20:00:28,369] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_212]. 2023-07-07T20:05:31.5287045Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5287064Z 2023-07-07T20:05:31.5287249Z [2023-07-07 20:00:28,369] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5287448Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5287454Z 2023-07-07T20:05:31.5287637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5287907Z - self: 2023-07-07T20:05:31.5288112Z - node: fx.Node(unsqueeze_212[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5288225Z - aten_name: 2023-07-07T20:05:31.5288360Z - function_overloads: 2023-07-07T20:05:31.5288475Z - onnx_args: 2023-07-07T20:05:31.5288580Z - onnx_kwargs: 2023-07-07T20:05:31.5288889Z - diagnostic_context: 2023-07-07T20:05:31.5289045Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5289322Z [2023-07-07 20:00:28,371] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_213]. 2023-07-07T20:05:31.5289462Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5289468Z 2023-07-07T20:05:31.5289663Z [2023-07-07 20:00:28,371] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5289866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5289872Z 2023-07-07T20:05:31.5290054Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5290314Z - self: 2023-07-07T20:05:31.5290520Z - node: fx.Node(unsqueeze_213[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5290634Z - aten_name: 2023-07-07T20:05:31.5290767Z - function_overloads: 2023-07-07T20:05:31.5290882Z - onnx_args: 2023-07-07T20:05:31.5290998Z - onnx_kwargs: 2023-07-07T20:05:31.5291304Z - diagnostic_context: 2023-07-07T20:05:31.5291460Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5291730Z [2023-07-07 20:00:28,378] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_214]. 2023-07-07T20:05:31.5291871Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5291877Z 2023-07-07T20:05:31.5292073Z [2023-07-07 20:00:28,378] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5292308Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5292317Z 2023-07-07T20:05:31.5292504Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5292772Z - self: 2023-07-07T20:05:31.5292981Z - node: fx.Node(unsqueeze_214[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5293094Z - aten_name: 2023-07-07T20:05:31.5293214Z - function_overloads: 2023-07-07T20:05:31.5293328Z - onnx_args: 2023-07-07T20:05:31.5293443Z - onnx_kwargs: 2023-07-07T20:05:31.5293782Z - diagnostic_context: 2023-07-07T20:05:31.5293940Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5294248Z [2023-07-07 20:00:28,381] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_215]. 2023-07-07T20:05:31.5294390Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5294424Z 2023-07-07T20:05:31.5294623Z [2023-07-07 20:00:28,381] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5294814Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5294832Z 2023-07-07T20:05:31.5295003Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5295273Z - self: 2023-07-07T20:05:31.5295481Z - node: fx.Node(unsqueeze_215[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5295596Z - aten_name: 2023-07-07T20:05:31.5295728Z - function_overloads: 2023-07-07T20:05:31.5295846Z - onnx_args: 2023-07-07T20:05:31.5295963Z - onnx_kwargs: 2023-07-07T20:05:31.5296256Z - diagnostic_context: 2023-07-07T20:05:31.5296416Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5296699Z [2023-07-07 20:00:28,398] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_27]. 2023-07-07T20:05:31.5296847Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5296853Z 2023-07-07T20:05:31.5297050Z [2023-07-07 20:00:28,399] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5297250Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5297256Z 2023-07-07T20:05:31.5297439Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5297706Z - self: 2023-07-07T20:05:31.5297923Z - node: fx.Node(convolution_27[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5298023Z - aten_name: 2023-07-07T20:05:31.5298157Z - function_overloads: 2023-07-07T20:05:31.5298273Z - onnx_args: 2023-07-07T20:05:31.5298389Z - onnx_kwargs: 2023-07-07T20:05:31.5298691Z - diagnostic_context: 2023-07-07T20:05:31.5298903Z - Return value: 2023-07-07T20:05:31.5299189Z [2023-07-07 20:00:28,404] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_27]. 2023-07-07T20:05:31.5299335Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5299521Z [2023-07-07 20:00:28,404] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5299594Z ### Exception log 2023-07-07T20:05:31.5299658Z ``` 2023-07-07T20:05:31.5299753Z Traceback (most recent call last): 2023-07-07T20:05:31.5299787Z 2023-07-07T20:05:31.5300120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5300245Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5300251Z 2023-07-07T20:05:31.5300512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5300606Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5300612Z 2023-07-07T20:05:31.5300914Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5301036Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5301043Z 2023-07-07T20:05:31.5301301Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5301468Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5301474Z 2023-07-07T20:05:31.5301750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5301914Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5301919Z 2023-07-07T20:05:31.5302245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5302321Z result = op.Conv( 2023-07-07T20:05:31.5302327Z 2023-07-07T20:05:31.5302611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5302681Z return op( 2023-07-07T20:05:31.5302689Z 2023-07-07T20:05:31.5302935Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5303065Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5303072Z 2023-07-07T20:05:31.5303330Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5303462Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5303468Z 2023-07-07T20:05:31.5303727Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5303850Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5303856Z 2023-07-07T20:05:31.5304122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5304299Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5304305Z 2023-07-07T20:05:31.5304558Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5304651Z node.attribute.extend( 2023-07-07T20:05:31.5304657Z 2023-07-07T20:05:31.5304900Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5304990Z make_attribute(key, value) 2023-07-07T20:05:31.5304995Z 2023-07-07T20:05:31.5305256Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5305334Z raise ValueError( 2023-07-07T20:05:31.5305339Z 2023-07-07T20:05:31.5305512Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5305518Z 2023-07-07T20:05:31.5305578Z ``` 2023-07-07T20:05:31.5305698Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5306006Z - diagnostic_context: 2023-07-07T20:05:31.5306208Z - node: fx.Node(convolution_27[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5306417Z - symbolic_fn: 2023-07-07T20:05:31.5306561Z - torch_args: 2023-07-07T20:05:31.5306681Z - torch_kwargs: 2023-07-07T20:05:31.5306809Z - Return value: 2023-07-07T20:05:31.5312664Z [2023-07-07 20:00:28,409] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_54]. 2023-07-07T20:05:31.5312865Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5312872Z 2023-07-07T20:05:31.5313095Z [2023-07-07 20:00:28,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5313304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5313310Z 2023-07-07T20:05:31.5313566Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5313846Z - self: 2023-07-07T20:05:31.5314152Z - node: fx.Node(convert_element_type_54[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5314299Z - aten_name: 2023-07-07T20:05:31.5314433Z - function_overloads: 2023-07-07T20:05:31.5314551Z - onnx_args: 2023-07-07T20:05:31.5314754Z - onnx_kwargs: 2023-07-07T20:05:31.5315067Z - diagnostic_context: 2023-07-07T20:05:31.5315255Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5315569Z [2023-07-07 20:00:28,412] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_55]. 2023-07-07T20:05:31.5315718Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5315725Z 2023-07-07T20:05:31.5315926Z [2023-07-07 20:00:28,413] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5316137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5316143Z 2023-07-07T20:05:31.5316331Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5316604Z - self: 2023-07-07T20:05:31.5316849Z - node: fx.Node(convert_element_type_55[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5316966Z - aten_name: 2023-07-07T20:05:31.5317104Z - function_overloads: 2023-07-07T20:05:31.5317206Z - onnx_args: 2023-07-07T20:05:31.5317324Z - onnx_kwargs: 2023-07-07T20:05:31.5317630Z - diagnostic_context: 2023-07-07T20:05:31.5317816Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5318077Z [2023-07-07 20:00:28,421] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_27]. 2023-07-07T20:05:31.5318211Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5318403Z [2023-07-07 20:00:28,421] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5318481Z ### Exception log 2023-07-07T20:05:31.5318531Z ``` 2023-07-07T20:05:31.5318627Z Traceback (most recent call last): 2023-07-07T20:05:31.5318633Z 2023-07-07T20:05:31.5318968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5319066Z torch.testing.assert_close( 2023-07-07T20:05:31.5319072Z 2023-07-07T20:05:31.5319359Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5319456Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5319462Z 2023-07-07T20:05:31.5319618Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5319626Z 2023-07-07T20:05:31.5319757Z Mismatched elements: 31 / 48 (64.6%) 2023-07-07T20:05:31.5319883Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5320024Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5320030Z 2023-07-07T20:05:31.5320090Z ``` 2023-07-07T20:05:31.5320211Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5320520Z - diagnostic_context: 2023-07-07T20:05:31.5320701Z - node: fx.Node(sqrt_27[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5320844Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5320964Z - torch_args: 2023-07-07T20:05:31.5321100Z - torch_kwargs: 2023-07-07T20:05:31.5321231Z - Return value: 2023-07-07T20:05:31.5321492Z [2023-07-07 20:00:28,424] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_27]. 2023-07-07T20:05:31.5321666Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5321672Z 2023-07-07T20:05:31.5321911Z [2023-07-07 20:00:28,424] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5322118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5322123Z 2023-07-07T20:05:31.5322308Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5322581Z - self: 2023-07-07T20:05:31.5322770Z - node: fx.Node(tensor_int_27[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5322873Z - aten_name: 2023-07-07T20:05:31.5323008Z - function_overloads: 2023-07-07T20:05:31.5323123Z - onnx_args: 2023-07-07T20:05:31.5323240Z - onnx_kwargs: 2023-07-07T20:05:31.5323552Z - diagnostic_context: 2023-07-07T20:05:31.5323711Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5323994Z [2023-07-07 20:00:28,437] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_216]. 2023-07-07T20:05:31.5324124Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5324144Z 2023-07-07T20:05:31.5324329Z [2023-07-07 20:00:28,437] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5324700Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5324708Z 2023-07-07T20:05:31.5324897Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5325174Z - self: 2023-07-07T20:05:31.5325381Z - node: fx.Node(unsqueeze_216[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5325503Z - aten_name: 2023-07-07T20:05:31.5325636Z - function_overloads: 2023-07-07T20:05:31.5325756Z - onnx_args: 2023-07-07T20:05:31.5325860Z - onnx_kwargs: 2023-07-07T20:05:31.5326166Z - diagnostic_context: 2023-07-07T20:05:31.5326325Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5326604Z [2023-07-07 20:00:28,440] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_217]. 2023-07-07T20:05:31.5326750Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5326757Z 2023-07-07T20:05:31.5326958Z [2023-07-07 20:00:28,440] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5327163Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5327171Z 2023-07-07T20:05:31.5327418Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5327674Z - self: 2023-07-07T20:05:31.5327882Z - node: fx.Node(unsqueeze_217[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5327998Z - aten_name: 2023-07-07T20:05:31.5328132Z - function_overloads: 2023-07-07T20:05:31.5328251Z - onnx_args: 2023-07-07T20:05:31.5328370Z - onnx_kwargs: 2023-07-07T20:05:31.5328674Z - diagnostic_context: 2023-07-07T20:05:31.5328832Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5329133Z [2023-07-07 20:00:28,443] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_218]. 2023-07-07T20:05:31.5329279Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5329319Z 2023-07-07T20:05:31.5329520Z [2023-07-07 20:00:28,443] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5329721Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5329761Z 2023-07-07T20:05:31.5329948Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5330217Z - self: 2023-07-07T20:05:31.5330425Z - node: fx.Node(unsqueeze_218[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5330541Z - aten_name: 2023-07-07T20:05:31.5330661Z - function_overloads: 2023-07-07T20:05:31.5330779Z - onnx_args: 2023-07-07T20:05:31.5330895Z - onnx_kwargs: 2023-07-07T20:05:31.5331198Z - diagnostic_context: 2023-07-07T20:05:31.5331361Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5331638Z [2023-07-07 20:00:28,445] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_219]. 2023-07-07T20:05:31.5331784Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5331789Z 2023-07-07T20:05:31.5331988Z [2023-07-07 20:00:28,446] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5332178Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5332196Z 2023-07-07T20:05:31.5332368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5332639Z - self: 2023-07-07T20:05:31.5332846Z - node: fx.Node(unsqueeze_219[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5332960Z - aten_name: 2023-07-07T20:05:31.5333096Z - function_overloads: 2023-07-07T20:05:31.5333212Z - onnx_args: 2023-07-07T20:05:31.5333330Z - onnx_kwargs: 2023-07-07T20:05:31.5333623Z - diagnostic_context: 2023-07-07T20:05:31.5333781Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5334058Z [2023-07-07 20:00:28,456] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_220]. 2023-07-07T20:05:31.5334199Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5334204Z 2023-07-07T20:05:31.5334402Z [2023-07-07 20:00:28,456] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5334608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5334614Z 2023-07-07T20:05:31.5334797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5335094Z - self: 2023-07-07T20:05:31.5335302Z - node: fx.Node(unsqueeze_220[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5335405Z - aten_name: 2023-07-07T20:05:31.5335539Z - function_overloads: 2023-07-07T20:05:31.5335656Z - onnx_args: 2023-07-07T20:05:31.5335776Z - onnx_kwargs: 2023-07-07T20:05:31.5336080Z - diagnostic_context: 2023-07-07T20:05:31.5336239Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5336517Z [2023-07-07 20:00:28,459] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_221]. 2023-07-07T20:05:31.5336674Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5336694Z 2023-07-07T20:05:31.5336879Z [2023-07-07 20:00:28,459] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5337113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5337148Z 2023-07-07T20:05:31.5337332Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5337600Z - self: 2023-07-07T20:05:31.5337806Z - node: fx.Node(unsqueeze_221[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5337921Z - aten_name: 2023-07-07T20:05:31.5338052Z - function_overloads: 2023-07-07T20:05:31.5338167Z - onnx_args: 2023-07-07T20:05:31.5338271Z - onnx_kwargs: 2023-07-07T20:05:31.5338576Z - diagnostic_context: 2023-07-07T20:05:31.5338732Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5339013Z [2023-07-07 20:00:28,466] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_222]. 2023-07-07T20:05:31.5339156Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5339164Z 2023-07-07T20:05:31.5339361Z [2023-07-07 20:00:28,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5339563Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5339569Z 2023-07-07T20:05:31.5339752Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5340017Z - self: 2023-07-07T20:05:31.5340211Z - node: fx.Node(unsqueeze_222[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5340324Z - aten_name: 2023-07-07T20:05:31.5340457Z - function_overloads: 2023-07-07T20:05:31.5340574Z - onnx_args: 2023-07-07T20:05:31.5340693Z - onnx_kwargs: 2023-07-07T20:05:31.5340998Z - diagnostic_context: 2023-07-07T20:05:31.5341156Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5341421Z [2023-07-07 20:00:28,469] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_223]. 2023-07-07T20:05:31.5341563Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5341569Z 2023-07-07T20:05:31.5341767Z [2023-07-07 20:00:28,469] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5341971Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5341977Z 2023-07-07T20:05:31.5342163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5342433Z - self: 2023-07-07T20:05:31.5342669Z - node: fx.Node(unsqueeze_223[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5342785Z - aten_name: 2023-07-07T20:05:31.5342916Z - function_overloads: 2023-07-07T20:05:31.5343019Z - onnx_args: 2023-07-07T20:05:31.5343142Z - onnx_kwargs: 2023-07-07T20:05:31.5343444Z - diagnostic_context: 2023-07-07T20:05:31.5343600Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5343889Z [2023-07-07 20:00:28,476] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_28]. 2023-07-07T20:05:31.5344023Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5344074Z 2023-07-07T20:05:31.5344259Z [2023-07-07 20:00:28,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5344459Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5344496Z 2023-07-07T20:05:31.5344680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5344977Z - self: 2023-07-07T20:05:31.5345191Z - node: fx.Node(convolution_28[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5345302Z - aten_name: 2023-07-07T20:05:31.5345434Z - function_overloads: 2023-07-07T20:05:31.5345549Z - onnx_args: 2023-07-07T20:05:31.5345653Z - onnx_kwargs: 2023-07-07T20:05:31.5345953Z - diagnostic_context: 2023-07-07T20:05:31.5346164Z - Return value: 2023-07-07T20:05:31.5346447Z [2023-07-07 20:00:28,482] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_28]. 2023-07-07T20:05:31.5346594Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5346794Z [2023-07-07 20:00:28,482] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5346871Z ### Exception log 2023-07-07T20:05:31.5346920Z ``` 2023-07-07T20:05:31.5347016Z Traceback (most recent call last): 2023-07-07T20:05:31.5347021Z 2023-07-07T20:05:31.5347354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5347477Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5347483Z 2023-07-07T20:05:31.5347746Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5347844Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5347849Z 2023-07-07T20:05:31.5348167Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5348268Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5348273Z 2023-07-07T20:05:31.5348530Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5348669Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5348675Z 2023-07-07T20:05:31.5348937Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5349072Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5349077Z 2023-07-07T20:05:31.5349402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5349479Z result = op.Conv( 2023-07-07T20:05:31.5349485Z 2023-07-07T20:05:31.5349766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5349872Z return op( 2023-07-07T20:05:31.5349879Z 2023-07-07T20:05:31.5350138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5350267Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5350273Z 2023-07-07T20:05:31.5350528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5350659Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5350665Z 2023-07-07T20:05:31.5350909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5351072Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5351078Z 2023-07-07T20:05:31.5351345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5351556Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5351562Z 2023-07-07T20:05:31.5351811Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5351941Z node.attribute.extend( 2023-07-07T20:05:31.5351946Z 2023-07-07T20:05:31.5352197Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5352285Z make_attribute(key, value) 2023-07-07T20:05:31.5352290Z 2023-07-07T20:05:31.5352550Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5352615Z raise ValueError( 2023-07-07T20:05:31.5352633Z 2023-07-07T20:05:31.5352795Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5352801Z 2023-07-07T20:05:31.5352861Z ``` 2023-07-07T20:05:31.5352985Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5353296Z - diagnostic_context: 2023-07-07T20:05:31.5353515Z - node: fx.Node(convolution_28[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5353725Z - symbolic_fn: 2023-07-07T20:05:31.5353841Z - torch_args: 2023-07-07T20:05:31.5353948Z - torch_kwargs: 2023-07-07T20:05:31.5354076Z - Return value: 2023-07-07T20:05:31.5354386Z [2023-07-07 20:00:28,487] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_56]. 2023-07-07T20:05:31.5354544Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5354551Z 2023-07-07T20:05:31.5354839Z [2023-07-07 20:00:28,487] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5355045Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5355056Z 2023-07-07T20:05:31.5355241Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5355651Z - self: 2023-07-07T20:05:31.5356021Z - node: fx.Node(convert_element_type_56[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5356181Z - aten_name: 2023-07-07T20:05:31.5356381Z - function_overloads: 2023-07-07T20:05:31.5356554Z - onnx_args: 2023-07-07T20:05:31.5356732Z - onnx_kwargs: 2023-07-07T20:05:31.5357190Z - diagnostic_context: 2023-07-07T20:05:31.5357475Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5358205Z [2023-07-07 20:00:28,490] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_57]. 2023-07-07T20:05:31.5358503Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5358513Z 2023-07-07T20:05:31.5358806Z [2023-07-07 20:00:28,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5359112Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5359121Z 2023-07-07T20:05:31.5359396Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5359799Z - self: 2023-07-07T20:05:31.5360167Z - node: fx.Node(convert_element_type_57[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5360374Z - aten_name: 2023-07-07T20:05:31.5360581Z - function_overloads: 2023-07-07T20:05:31.5360963Z - onnx_args: 2023-07-07T20:05:31.5361220Z - onnx_kwargs: 2023-07-07T20:05:31.5361687Z - diagnostic_context: 2023-07-07T20:05:31.5362002Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5362390Z [2023-07-07 20:00:28,499] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_28]. 2023-07-07T20:05:31.5362587Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5362866Z [2023-07-07 20:00:28,499] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5362978Z ### Exception log 2023-07-07T20:05:31.5363073Z ``` 2023-07-07T20:05:31.5363202Z Traceback (most recent call last): 2023-07-07T20:05:31.5363211Z 2023-07-07T20:05:31.5363723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5363870Z torch.testing.assert_close( 2023-07-07T20:05:31.5363882Z 2023-07-07T20:05:31.5364323Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5364553Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5364565Z 2023-07-07T20:05:31.5364810Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5364819Z 2023-07-07T20:05:31.5364958Z Mismatched elements: 24 / 48 (50.0%) 2023-07-07T20:05:31.5365161Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.5365364Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5365373Z 2023-07-07T20:05:31.5365454Z ``` 2023-07-07T20:05:31.5365633Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5366104Z - diagnostic_context: 2023-07-07T20:05:31.5366388Z - node: fx.Node(sqrt_28[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5366603Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5366805Z - torch_args: 2023-07-07T20:05:31.5366993Z - torch_kwargs: 2023-07-07T20:05:31.5367174Z - Return value: 2023-07-07T20:05:31.5367572Z [2023-07-07 20:00:28,502] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_28]. 2023-07-07T20:05:31.5367783Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5367791Z 2023-07-07T20:05:31.5368091Z [2023-07-07 20:00:28,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5368394Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5368403Z 2023-07-07T20:05:31.5368680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5369087Z - self: 2023-07-07T20:05:31.5369371Z - node: fx.Node(tensor_int_28[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5369620Z - aten_name: 2023-07-07T20:05:31.5369809Z - function_overloads: 2023-07-07T20:05:31.5369988Z - onnx_args: 2023-07-07T20:05:31.5370166Z - onnx_kwargs: 2023-07-07T20:05:31.5370623Z - diagnostic_context: 2023-07-07T20:05:31.5370863Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5371289Z [2023-07-07 20:00:28,515] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_224]. 2023-07-07T20:05:31.5371504Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5371511Z 2023-07-07T20:05:31.5371855Z [2023-07-07 20:00:28,515] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5372149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5372197Z 2023-07-07T20:05:31.5372470Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5372878Z - self: 2023-07-07T20:05:31.5373236Z - node: fx.Node(unsqueeze_224[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5373406Z - aten_name: 2023-07-07T20:05:31.5373612Z - function_overloads: 2023-07-07T20:05:31.5373787Z - onnx_args: 2023-07-07T20:05:31.5373971Z - onnx_kwargs: 2023-07-07T20:05:31.5374420Z - diagnostic_context: 2023-07-07T20:05:31.5374657Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5375085Z [2023-07-07 20:00:28,517] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_225]. 2023-07-07T20:05:31.5375298Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5375309Z 2023-07-07T20:05:31.5375608Z [2023-07-07 20:00:28,517] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5375914Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5375925Z 2023-07-07T20:05:31.5376204Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5376605Z - self: 2023-07-07T20:05:31.5376902Z - node: fx.Node(unsqueeze_225[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5377075Z - aten_name: 2023-07-07T20:05:31.5377272Z - function_overloads: 2023-07-07T20:05:31.5377445Z - onnx_args: 2023-07-07T20:05:31.5377623Z - onnx_kwargs: 2023-07-07T20:05:31.5378075Z - diagnostic_context: 2023-07-07T20:05:31.5378320Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5378746Z [2023-07-07 20:00:28,520] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_226]. 2023-07-07T20:05:31.5378948Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5378956Z 2023-07-07T20:05:31.5379251Z [2023-07-07 20:00:28,520] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5379555Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5379563Z 2023-07-07T20:05:31.5379837Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5380244Z - self: 2023-07-07T20:05:31.5380558Z - node: fx.Node(unsqueeze_226[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5380730Z - aten_name: 2023-07-07T20:05:31.5380933Z - function_overloads: 2023-07-07T20:05:31.5381125Z - onnx_args: 2023-07-07T20:05:31.5381302Z - onnx_kwargs: 2023-07-07T20:05:31.5381764Z - diagnostic_context: 2023-07-07T20:05:31.5382002Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5382425Z [2023-07-07 20:00:28,523] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_227]. 2023-07-07T20:05:31.5382635Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5382643Z 2023-07-07T20:05:31.5382943Z [2023-07-07 20:00:28,523] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5383322Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5383331Z 2023-07-07T20:05:31.5383607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5384035Z - self: 2023-07-07T20:05:31.5384345Z - node: fx.Node(unsqueeze_227[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5384562Z - aten_name: 2023-07-07T20:05:31.5384762Z - function_overloads: 2023-07-07T20:05:31.5384937Z - onnx_args: 2023-07-07T20:05:31.5385114Z - onnx_kwargs: 2023-07-07T20:05:31.5385578Z - diagnostic_context: 2023-07-07T20:05:31.5385799Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5386226Z [2023-07-07 20:00:28,534] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_228]. 2023-07-07T20:05:31.5386440Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5386448Z 2023-07-07T20:05:31.5386743Z [2023-07-07 20:00:28,534] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5387052Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5387064Z 2023-07-07T20:05:31.5387336Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5387740Z - self: 2023-07-07T20:05:31.5388053Z - node: fx.Node(unsqueeze_228[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5388223Z - aten_name: 2023-07-07T20:05:31.5388803Z - function_overloads: 2023-07-07T20:05:31.5388984Z - onnx_args: 2023-07-07T20:05:31.5389160Z - onnx_kwargs: 2023-07-07T20:05:31.5389628Z - diagnostic_context: 2023-07-07T20:05:31.5389865Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5390296Z [2023-07-07 20:00:28,537] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_229]. 2023-07-07T20:05:31.5390510Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5390521Z 2023-07-07T20:05:31.5390819Z [2023-07-07 20:00:28,537] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5391110Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5391133Z 2023-07-07T20:05:31.5391395Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5391804Z - self: 2023-07-07T20:05:31.5392117Z - node: fx.Node(unsqueeze_229[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5392291Z - aten_name: 2023-07-07T20:05:31.5392495Z - function_overloads: 2023-07-07T20:05:31.5392670Z - onnx_args: 2023-07-07T20:05:31.5392848Z - onnx_kwargs: 2023-07-07T20:05:31.5393338Z - diagnostic_context: 2023-07-07T20:05:31.5393579Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5394002Z [2023-07-07 20:00:28,544] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_230]. 2023-07-07T20:05:31.5394211Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5394219Z 2023-07-07T20:05:31.5394510Z [2023-07-07 20:00:28,544] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5394886Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5394895Z 2023-07-07T20:05:31.5395205Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5395619Z - self: 2023-07-07T20:05:31.5395972Z - node: fx.Node(unsqueeze_230[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5396131Z - aten_name: 2023-07-07T20:05:31.5396368Z - function_overloads: 2023-07-07T20:05:31.5396542Z - onnx_args: 2023-07-07T20:05:31.5396720Z - onnx_kwargs: 2023-07-07T20:05:31.5397186Z - diagnostic_context: 2023-07-07T20:05:31.5397418Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5397842Z [2023-07-07 20:00:28,547] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_231]. 2023-07-07T20:05:31.5398042Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5398063Z 2023-07-07T20:05:31.5398351Z [2023-07-07 20:00:28,547] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5398652Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5398666Z 2023-07-07T20:05:31.5398942Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5399349Z - self: 2023-07-07T20:05:31.5399660Z - node: fx.Node(unsqueeze_231[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5399831Z - aten_name: 2023-07-07T20:05:31.5400034Z - function_overloads: 2023-07-07T20:05:31.5400214Z - onnx_args: 2023-07-07T20:05:31.5400376Z - onnx_kwargs: 2023-07-07T20:05:31.5400839Z - diagnostic_context: 2023-07-07T20:05:31.5401078Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5401455Z [2023-07-07 20:00:28,563] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_7]. 2023-07-07T20:05:31.5401652Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5401663Z 2023-07-07T20:05:31.5401957Z [2023-07-07 20:00:28,563] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5402262Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5402270Z 2023-07-07T20:05:31.5402546Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5402937Z - self: 2023-07-07T20:05:31.5403202Z - node: fx.Node(cat_7[call_function]'aten.cat.default') 2023-07-07T20:05:31.5403373Z - aten_name: 2023-07-07T20:05:31.5403574Z - function_overloads: 2023-07-07T20:05:31.5403752Z - onnx_args: 2023-07-07T20:05:31.5403928Z - onnx_kwargs: 2023-07-07T20:05:31.5404485Z - diagnostic_context: 2023-07-07T20:05:31.5404768Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.5405121Z [2023-07-07 20:00:28,571] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_7]. 2023-07-07T20:05:31.5405317Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5405325Z 2023-07-07T20:05:31.5405605Z [2023-07-07 20:00:28,571] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5405872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5405881Z 2023-07-07T20:05:31.5406138Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5407506Z - self: 2023-07-07T20:05:31.5407793Z - node: fx.Node(transpose_7[call_function]'aten.transpose.int') 2023-07-07T20:05:31.5407950Z - aten_name: 2023-07-07T20:05:31.5408211Z - function_overloads: 2023-07-07T20:05:31.5408384Z - onnx_args: 2023-07-07T20:05:31.5408561Z - onnx_kwargs: 2023-07-07T20:05:31.5409064Z - diagnostic_context: 2023-07-07T20:05:31.5409392Z - Return value: 2023-07-07T20:05:31.5409807Z [2023-07-07 20:00:28,574] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_7]. 2023-07-07T20:05:31.5410029Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5410039Z 2023-07-07T20:05:31.5410360Z [2023-07-07 20:00:28,574] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5410646Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5410673Z 2023-07-07T20:05:31.5410981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5411442Z - self: 2023-07-07T20:05:31.5411770Z - node: fx.Node(clone_7[call_function]'aten.clone.default') 2023-07-07T20:05:31.5411961Z - aten_name: 2023-07-07T20:05:31.5412175Z - function_overloads: 2023-07-07T20:05:31.5412373Z - onnx_args: 2023-07-07T20:05:31.5412850Z - onnx_kwargs: 2023-07-07T20:05:31.5413335Z - diagnostic_context: 2023-07-07T20:05:31.5413577Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.5413988Z [2023-07-07 20:00:28,582] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_6]. 2023-07-07T20:05:31.5414197Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5414207Z 2023-07-07T20:05:31.5414513Z [2023-07-07 20:00:28,582] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5414840Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5414851Z 2023-07-07T20:05:31.5415143Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5415581Z - self: 2023-07-07T20:05:31.5415905Z - node: fx.Node(split_6[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.5416083Z - aten_name: 2023-07-07T20:05:31.5416297Z - function_overloads: 2023-07-07T20:05:31.5416484Z - onnx_args: 2023-07-07T20:05:31.5416674Z - onnx_kwargs: 2023-07-07T20:05:31.5417171Z - diagnostic_context: 2023-07-07T20:05:31.5417433Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.5417926Z [2023-07-07 20:00:28,585] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_14]. 2023-07-07T20:05:31.5418273Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5418306Z 2023-07-07T20:05:31.5418641Z [2023-07-07 20:00:28,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5418995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5419006Z 2023-07-07T20:05:31.5419322Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5419800Z - self: 2023-07-07T20:05:31.5420132Z - node: fx.Node(getitem_14[call_function]'') 2023-07-07T20:05:31.5420396Z - aten_name: 2023-07-07T20:05:31.5420608Z - function_overloads: 2023-07-07T20:05:31.5420789Z - onnx_args: 2023-07-07T20:05:31.5421035Z - onnx_kwargs: 2023-07-07T20:05:31.5421567Z - diagnostic_context: 2023-07-07T20:05:31.5421828Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5422326Z [2023-07-07 20:00:28,587] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_15]. 2023-07-07T20:05:31.5422548Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5422560Z 2023-07-07T20:05:31.5422899Z [2023-07-07 20:00:28,587] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5423245Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5423257Z 2023-07-07T20:05:31.5423592Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5424065Z - self: 2023-07-07T20:05:31.5424430Z - node: fx.Node(getitem_15[call_function]'') 2023-07-07T20:05:31.5424632Z - aten_name: 2023-07-07T20:05:31.5424882Z - function_overloads: 2023-07-07T20:05:31.5425098Z - onnx_args: 2023-07-07T20:05:31.5425297Z - onnx_kwargs: 2023-07-07T20:05:31.5425861Z - diagnostic_context: 2023-07-07T20:05:31.5426140Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5426643Z [2023-07-07 20:00:28,589] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_29]. 2023-07-07T20:05:31.5426896Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5426907Z 2023-07-07T20:05:31.5427259Z [2023-07-07 20:00:28,589] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5427605Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5427620Z 2023-07-07T20:05:31.5427919Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5428358Z - self: 2023-07-07T20:05:31.5428727Z - node: fx.Node(convolution_29[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5428921Z - aten_name: 2023-07-07T20:05:31.5429133Z - function_overloads: 2023-07-07T20:05:31.5429335Z - onnx_args: 2023-07-07T20:05:31.5429536Z - onnx_kwargs: 2023-07-07T20:05:31.5430036Z - diagnostic_context: 2023-07-07T20:05:31.5430426Z - Return value: 2023-07-07T20:05:31.5430935Z [2023-07-07 20:00:28,595] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_29]. 2023-07-07T20:05:31.5431196Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5431689Z [2023-07-07 20:00:28,595] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5431791Z ### Exception log 2023-07-07T20:05:31.5431890Z ``` 2023-07-07T20:05:31.5432041Z Traceback (most recent call last): 2023-07-07T20:05:31.5432053Z 2023-07-07T20:05:31.5432610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5432810Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5432819Z 2023-07-07T20:05:31.5433255Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5433526Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5433536Z 2023-07-07T20:05:31.5434107Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5434324Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5434334Z 2023-07-07T20:05:31.5434839Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5435139Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5435148Z 2023-07-07T20:05:31.5435666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5435889Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5435900Z 2023-07-07T20:05:31.5436507Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5436652Z result = op.Conv( 2023-07-07T20:05:31.5436661Z 2023-07-07T20:05:31.5437163Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5437296Z return op( 2023-07-07T20:05:31.5437310Z 2023-07-07T20:05:31.5437787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5438022Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5438032Z 2023-07-07T20:05:31.5438498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5438741Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5438751Z 2023-07-07T20:05:31.5439228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5439440Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5439454Z 2023-07-07T20:05:31.5439958Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5440265Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5440279Z 2023-07-07T20:05:31.5440747Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5440919Z node.attribute.extend( 2023-07-07T20:05:31.5440929Z 2023-07-07T20:05:31.5441392Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5441550Z make_attribute(key, value) 2023-07-07T20:05:31.5441559Z 2023-07-07T20:05:31.5442015Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5442152Z raise ValueError( 2023-07-07T20:05:31.5442161Z 2023-07-07T20:05:31.5442462Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5442472Z 2023-07-07T20:05:31.5442561Z ``` 2023-07-07T20:05:31.5442749Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5443357Z - diagnostic_context: 2023-07-07T20:05:31.5443726Z - node: fx.Node(convolution_29[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5444075Z - symbolic_fn: 2023-07-07T20:05:31.5444267Z - torch_args: 2023-07-07T20:05:31.5444615Z - torch_kwargs: 2023-07-07T20:05:31.5444839Z - Return value: 2023-07-07T20:05:31.5445379Z [2023-07-07 20:00:28,600] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_58]. 2023-07-07T20:05:31.5445654Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5445666Z 2023-07-07T20:05:31.5446160Z [2023-07-07 20:00:28,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5446531Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5446603Z 2023-07-07T20:05:31.5446928Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5447475Z - self: 2023-07-07T20:05:31.5447902Z - node: fx.Node(convert_element_type_58[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5448106Z - aten_name: 2023-07-07T20:05:31.5448347Z - function_overloads: 2023-07-07T20:05:31.5448556Z - onnx_args: 2023-07-07T20:05:31.5448768Z - onnx_kwargs: 2023-07-07T20:05:31.5449305Z - diagnostic_context: 2023-07-07T20:05:31.5449654Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5450217Z [2023-07-07 20:00:28,603] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_59]. 2023-07-07T20:05:31.5450515Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5450527Z 2023-07-07T20:05:31.5450895Z [2023-07-07 20:00:28,603] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5451273Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5451284Z 2023-07-07T20:05:31.5451612Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5452116Z - self: 2023-07-07T20:05:31.5452562Z - node: fx.Node(convert_element_type_59[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5452777Z - aten_name: 2023-07-07T20:05:31.5453023Z - function_overloads: 2023-07-07T20:05:31.5453219Z - onnx_args: 2023-07-07T20:05:31.5453422Z - onnx_kwargs: 2023-07-07T20:05:31.5453988Z - diagnostic_context: 2023-07-07T20:05:31.5454303Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5454759Z [2023-07-07 20:00:28,612] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_29]. 2023-07-07T20:05:31.5454969Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5455266Z [2023-07-07 20:00:28,612] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5455391Z ### Exception log 2023-07-07T20:05:31.5455471Z ``` 2023-07-07T20:05:31.5455628Z Traceback (most recent call last): 2023-07-07T20:05:31.5455639Z 2023-07-07T20:05:31.5456199Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5456354Z torch.testing.assert_close( 2023-07-07T20:05:31.5456362Z 2023-07-07T20:05:31.5456989Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5457151Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5457166Z 2023-07-07T20:05:31.5457444Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5457453Z 2023-07-07T20:05:31.5457597Z Mismatched elements: 26 / 48 (54.2%) 2023-07-07T20:05:31.5457800Z Greatest absolute difference: nan at index (3,) (up to 0.001 allowed) 2023-07-07T20:05:31.5458022Z Greatest relative difference: nan at index (3,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5458032Z 2023-07-07T20:05:31.5458128Z ``` 2023-07-07T20:05:31.5458330Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5458934Z - diagnostic_context: 2023-07-07T20:05:31.5459271Z - node: fx.Node(sqrt_29[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5459527Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5459805Z - torch_args: 2023-07-07T20:05:31.5460011Z - torch_kwargs: 2023-07-07T20:05:31.5460244Z - Return value: 2023-07-07T20:05:31.5460708Z [2023-07-07 20:00:28,615] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_29]. 2023-07-07T20:05:31.5461018Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5461030Z 2023-07-07T20:05:31.5461399Z [2023-07-07 20:00:28,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5461764Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5461774Z 2023-07-07T20:05:31.5462105Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5462605Z - self: 2023-07-07T20:05:31.5462922Z - node: fx.Node(tensor_int_29[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5463125Z - aten_name: 2023-07-07T20:05:31.5463337Z - function_overloads: 2023-07-07T20:05:31.5463523Z - onnx_args: 2023-07-07T20:05:31.5463709Z - onnx_kwargs: 2023-07-07T20:05:31.5464236Z - diagnostic_context: 2023-07-07T20:05:31.5464521Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5465032Z [2023-07-07 20:00:28,628] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_232]. 2023-07-07T20:05:31.5465279Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5465290Z 2023-07-07T20:05:31.5465637Z [2023-07-07 20:00:28,628] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5466023Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5466034Z 2023-07-07T20:05:31.5466375Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5466877Z - self: 2023-07-07T20:05:31.5467258Z - node: fx.Node(unsqueeze_232[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5467460Z - aten_name: 2023-07-07T20:05:31.5467695Z - function_overloads: 2023-07-07T20:05:31.5467879Z - onnx_args: 2023-07-07T20:05:31.5468083Z - onnx_kwargs: 2023-07-07T20:05:31.5468564Z - diagnostic_context: 2023-07-07T20:05:31.5468843Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5469599Z [2023-07-07 20:00:28,630] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_233]. 2023-07-07T20:05:31.5469843Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5469860Z 2023-07-07T20:05:31.5470311Z [2023-07-07 20:00:28,631] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5470646Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5470662Z 2023-07-07T20:05:31.5470961Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5471372Z - self: 2023-07-07T20:05:31.5471691Z - node: fx.Node(unsqueeze_233[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5471868Z - aten_name: 2023-07-07T20:05:31.5472078Z - function_overloads: 2023-07-07T20:05:31.5472270Z - onnx_args: 2023-07-07T20:05:31.5472561Z - onnx_kwargs: 2023-07-07T20:05:31.5473098Z - diagnostic_context: 2023-07-07T20:05:31.5473371Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5473966Z [2023-07-07 20:00:28,633] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_234]. 2023-07-07T20:05:31.5474286Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5474299Z 2023-07-07T20:05:31.5474762Z [2023-07-07 20:00:28,633] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5475130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5475142Z 2023-07-07T20:05:31.5475484Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5475976Z - self: 2023-07-07T20:05:31.5476366Z - node: fx.Node(unsqueeze_234[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5476560Z - aten_name: 2023-07-07T20:05:31.5476771Z - function_overloads: 2023-07-07T20:05:31.5476980Z - onnx_args: 2023-07-07T20:05:31.5477185Z - onnx_kwargs: 2023-07-07T20:05:31.5477681Z - diagnostic_context: 2023-07-07T20:05:31.5477958Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5478437Z [2023-07-07 20:00:28,636] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_235]. 2023-07-07T20:05:31.5478680Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5478692Z 2023-07-07T20:05:31.5479041Z [2023-07-07 20:00:28,636] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5479372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5479384Z 2023-07-07T20:05:31.5479687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5480149Z - self: 2023-07-07T20:05:31.5480511Z - node: fx.Node(unsqueeze_235[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5480712Z - aten_name: 2023-07-07T20:05:31.5480941Z - function_overloads: 2023-07-07T20:05:31.5481147Z - onnx_args: 2023-07-07T20:05:31.5481356Z - onnx_kwargs: 2023-07-07T20:05:31.5481904Z - diagnostic_context: 2023-07-07T20:05:31.5482193Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5482696Z [2023-07-07 20:00:28,647] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_236]. 2023-07-07T20:05:31.5482965Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5482977Z 2023-07-07T20:05:31.5483337Z [2023-07-07 20:00:28,647] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5483972Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5483986Z 2023-07-07T20:05:31.5484323Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5484939Z - self: 2023-07-07T20:05:31.5485311Z - node: fx.Node(unsqueeze_236[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5485473Z - aten_name: 2023-07-07T20:05:31.5485685Z - function_overloads: 2023-07-07T20:05:31.5485870Z - onnx_args: 2023-07-07T20:05:31.5486072Z - onnx_kwargs: 2023-07-07T20:05:31.5486781Z - diagnostic_context: 2023-07-07T20:05:31.5487077Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5487576Z [2023-07-07 20:00:28,650] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_237]. 2023-07-07T20:05:31.5487902Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5487930Z 2023-07-07T20:05:31.5488339Z [2023-07-07 20:00:28,650] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5488699Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5488711Z 2023-07-07T20:05:31.5489054Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5489541Z - self: 2023-07-07T20:05:31.5489891Z - node: fx.Node(unsqueeze_237[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5490082Z - aten_name: 2023-07-07T20:05:31.5490276Z - function_overloads: 2023-07-07T20:05:31.5490457Z - onnx_args: 2023-07-07T20:05:31.5490620Z - onnx_kwargs: 2023-07-07T20:05:31.5491077Z - diagnostic_context: 2023-07-07T20:05:31.5491320Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5491779Z [2023-07-07 20:00:28,657] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_238]. 2023-07-07T20:05:31.5492014Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5492025Z 2023-07-07T20:05:31.5492366Z [2023-07-07 20:00:28,657] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5492720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5492731Z 2023-07-07T20:05:31.5493056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5493536Z - self: 2023-07-07T20:05:31.5493922Z - node: fx.Node(unsqueeze_238[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5494118Z - aten_name: 2023-07-07T20:05:31.5494333Z - function_overloads: 2023-07-07T20:05:31.5494516Z - onnx_args: 2023-07-07T20:05:31.5494697Z - onnx_kwargs: 2023-07-07T20:05:31.5495161Z - diagnostic_context: 2023-07-07T20:05:31.5495414Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5495873Z [2023-07-07 20:00:28,660] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_239]. 2023-07-07T20:05:31.5496106Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5496118Z 2023-07-07T20:05:31.5496461Z [2023-07-07 20:00:28,660] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5496808Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5496823Z 2023-07-07T20:05:31.5497265Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5497757Z - self: 2023-07-07T20:05:31.5498138Z - node: fx.Node(unsqueeze_239[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5498330Z - aten_name: 2023-07-07T20:05:31.5498554Z - function_overloads: 2023-07-07T20:05:31.5498766Z - onnx_args: 2023-07-07T20:05:31.5498970Z - onnx_kwargs: 2023-07-07T20:05:31.5499526Z - diagnostic_context: 2023-07-07T20:05:31.5499811Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5500406Z [2023-07-07 20:00:28,677] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_30]. 2023-07-07T20:05:31.5500682Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5500739Z 2023-07-07T20:05:31.5501107Z [2023-07-07 20:00:28,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5501512Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5501538Z 2023-07-07T20:05:31.5501849Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5502326Z - self: 2023-07-07T20:05:31.5502682Z - node: fx.Node(convolution_30[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5502873Z - aten_name: 2023-07-07T20:05:31.5503098Z - function_overloads: 2023-07-07T20:05:31.5503308Z - onnx_args: 2023-07-07T20:05:31.5503514Z - onnx_kwargs: 2023-07-07T20:05:31.5504037Z - diagnostic_context: 2023-07-07T20:05:31.5504430Z - Return value: 2023-07-07T20:05:31.5504905Z [2023-07-07 20:00:28,682] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_30]. 2023-07-07T20:05:31.5505145Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5505493Z [2023-07-07 20:00:28,682] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5505618Z ### Exception log 2023-07-07T20:05:31.5505715Z ``` 2023-07-07T20:05:31.5505875Z Traceback (most recent call last): 2023-07-07T20:05:31.5505885Z 2023-07-07T20:05:31.5506452Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5506674Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5506684Z 2023-07-07T20:05:31.5507109Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5507268Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5507278Z 2023-07-07T20:05:31.5507843Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5508020Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5508031Z 2023-07-07T20:05:31.5508498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5508740Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5508749Z 2023-07-07T20:05:31.5509239Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5509489Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5509499Z 2023-07-07T20:05:31.5510182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5510327Z result = op.Conv( 2023-07-07T20:05:31.5510335Z 2023-07-07T20:05:31.5510856Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5510975Z return op( 2023-07-07T20:05:31.5510986Z 2023-07-07T20:05:31.5511470Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5511689Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5511698Z 2023-07-07T20:05:31.5512158Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5512462Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5512473Z 2023-07-07T20:05:31.5512916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5513185Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5513196Z 2023-07-07T20:05:31.5513642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5513999Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5514010Z 2023-07-07T20:05:31.5514457Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5514740Z node.attribute.extend( 2023-07-07T20:05:31.5514749Z 2023-07-07T20:05:31.5515204Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5515360Z make_attribute(key, value) 2023-07-07T20:05:31.5515370Z 2023-07-07T20:05:31.5515837Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5515976Z raise ValueError( 2023-07-07T20:05:31.5515989Z 2023-07-07T20:05:31.5516261Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5516271Z 2023-07-07T20:05:31.5516373Z ``` 2023-07-07T20:05:31.5516671Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5517198Z - diagnostic_context: 2023-07-07T20:05:31.5517559Z - node: fx.Node(convolution_30[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5517906Z - symbolic_fn: 2023-07-07T20:05:31.5518114Z - torch_args: 2023-07-07T20:05:31.5518306Z - torch_kwargs: 2023-07-07T20:05:31.5518507Z - Return value: 2023-07-07T20:05:31.5519027Z [2023-07-07 20:00:28,687] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_60]. 2023-07-07T20:05:31.5519308Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5519324Z 2023-07-07T20:05:31.5519655Z [2023-07-07 20:00:28,687] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5520012Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5520023Z 2023-07-07T20:05:31.5520326Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5520794Z - self: 2023-07-07T20:05:31.5521225Z - node: fx.Node(convert_element_type_60[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5521424Z - aten_name: 2023-07-07T20:05:31.5521642Z - function_overloads: 2023-07-07T20:05:31.5521837Z - onnx_args: 2023-07-07T20:05:31.5522034Z - onnx_kwargs: 2023-07-07T20:05:31.5522548Z - diagnostic_context: 2023-07-07T20:05:31.5522980Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5523521Z [2023-07-07 20:00:28,690] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_61]. 2023-07-07T20:05:31.5523819Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5523832Z 2023-07-07T20:05:31.5524186Z [2023-07-07 20:00:28,690] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5524684Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5524697Z 2023-07-07T20:05:31.5525164Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5525649Z - self: 2023-07-07T20:05:31.5526079Z - node: fx.Node(convert_element_type_61[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5526371Z - aten_name: 2023-07-07T20:05:31.5526607Z - function_overloads: 2023-07-07T20:05:31.5526878Z - onnx_args: 2023-07-07T20:05:31.5527095Z - onnx_kwargs: 2023-07-07T20:05:31.5527658Z - diagnostic_context: 2023-07-07T20:05:31.5527982Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5528432Z [2023-07-07 20:00:28,698] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_30]. 2023-07-07T20:05:31.5528672Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5529017Z [2023-07-07 20:00:28,698] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5529160Z ### Exception log 2023-07-07T20:05:31.5529263Z ``` 2023-07-07T20:05:31.5529437Z Traceback (most recent call last): 2023-07-07T20:05:31.5529448Z 2023-07-07T20:05:31.5530070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5530224Z torch.testing.assert_close( 2023-07-07T20:05:31.5530238Z 2023-07-07T20:05:31.5530766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5530937Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5530947Z 2023-07-07T20:05:31.5531233Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5531243Z 2023-07-07T20:05:31.5531408Z Mismatched elements: 28 / 48 (58.3%) 2023-07-07T20:05:31.5531651Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5531898Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5531907Z 2023-07-07T20:05:31.5532015Z ``` 2023-07-07T20:05:31.5532240Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5532821Z - diagnostic_context: 2023-07-07T20:05:31.5533155Z - node: fx.Node(sqrt_30[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5533433Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5533639Z - torch_args: 2023-07-07T20:05:31.5533864Z - torch_kwargs: 2023-07-07T20:05:31.5534110Z - Return value: 2023-07-07T20:05:31.5534590Z [2023-07-07 20:00:28,702] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_30]. 2023-07-07T20:05:31.5534827Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5534837Z 2023-07-07T20:05:31.5535192Z [2023-07-07 20:00:28,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5535569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5535580Z 2023-07-07T20:05:31.5536071Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5536544Z - self: 2023-07-07T20:05:31.5536852Z - node: fx.Node(tensor_int_30[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5537030Z - aten_name: 2023-07-07T20:05:31.5537246Z - function_overloads: 2023-07-07T20:05:31.5537418Z - onnx_args: 2023-07-07T20:05:31.5537607Z - onnx_kwargs: 2023-07-07T20:05:31.5538118Z - diagnostic_context: 2023-07-07T20:05:31.5538385Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5538937Z [2023-07-07 20:00:28,715] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_240]. 2023-07-07T20:05:31.5539185Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5539198Z 2023-07-07T20:05:31.5539616Z [2023-07-07 20:00:28,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5539983Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5540048Z 2023-07-07T20:05:31.5540365Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5540826Z - self: 2023-07-07T20:05:31.5541201Z - node: fx.Node(unsqueeze_240[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5541405Z - aten_name: 2023-07-07T20:05:31.5541617Z - function_overloads: 2023-07-07T20:05:31.5541805Z - onnx_args: 2023-07-07T20:05:31.5542000Z - onnx_kwargs: 2023-07-07T20:05:31.5542519Z - diagnostic_context: 2023-07-07T20:05:31.5542777Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5543291Z [2023-07-07 20:00:28,718] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_241]. 2023-07-07T20:05:31.5543536Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5543547Z 2023-07-07T20:05:31.5543905Z [2023-07-07 20:00:28,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5544271Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5544283Z 2023-07-07T20:05:31.5544630Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5545118Z - self: 2023-07-07T20:05:31.5545513Z - node: fx.Node(unsqueeze_241[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5545717Z - aten_name: 2023-07-07T20:05:31.5545949Z - function_overloads: 2023-07-07T20:05:31.5546160Z - onnx_args: 2023-07-07T20:05:31.5546371Z - onnx_kwargs: 2023-07-07T20:05:31.5546925Z - diagnostic_context: 2023-07-07T20:05:31.5547223Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5547739Z [2023-07-07 20:00:28,721] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_242]. 2023-07-07T20:05:31.5548000Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5548012Z 2023-07-07T20:05:31.5548360Z [2023-07-07 20:00:28,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5548721Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5548751Z 2023-07-07T20:05:31.5549073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5549667Z - self: 2023-07-07T20:05:31.5550063Z - node: fx.Node(unsqueeze_242[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5550275Z - aten_name: 2023-07-07T20:05:31.5550510Z - function_overloads: 2023-07-07T20:05:31.5550726Z - onnx_args: 2023-07-07T20:05:31.5550948Z - onnx_kwargs: 2023-07-07T20:05:31.5551513Z - diagnostic_context: 2023-07-07T20:05:31.5551809Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5552308Z [2023-07-07 20:00:28,724] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_243]. 2023-07-07T20:05:31.5552647Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5552661Z 2023-07-07T20:05:31.5553015Z [2023-07-07 20:00:28,724] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5553437Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5553448Z 2023-07-07T20:05:31.5553770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5554265Z - self: 2023-07-07T20:05:31.5554705Z - node: fx.Node(unsqueeze_243[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5554882Z - aten_name: 2023-07-07T20:05:31.5555103Z - function_overloads: 2023-07-07T20:05:31.5555304Z - onnx_args: 2023-07-07T20:05:31.5555507Z - onnx_kwargs: 2023-07-07T20:05:31.5556016Z - diagnostic_context: 2023-07-07T20:05:31.5556289Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5556790Z [2023-07-07 20:00:28,735] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_244]. 2023-07-07T20:05:31.5557041Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5557069Z 2023-07-07T20:05:31.5557397Z [2023-07-07 20:00:28,735] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5557754Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5557764Z 2023-07-07T20:05:31.5558076Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5558556Z - self: 2023-07-07T20:05:31.5558927Z - node: fx.Node(unsqueeze_244[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5559131Z - aten_name: 2023-07-07T20:05:31.5559369Z - function_overloads: 2023-07-07T20:05:31.5559569Z - onnx_args: 2023-07-07T20:05:31.5559766Z - onnx_kwargs: 2023-07-07T20:05:31.5560315Z - diagnostic_context: 2023-07-07T20:05:31.5560602Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5561112Z [2023-07-07 20:00:28,737] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_245]. 2023-07-07T20:05:31.5561358Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5561370Z 2023-07-07T20:05:31.5561730Z [2023-07-07 20:00:28,737] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5562103Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5562115Z 2023-07-07T20:05:31.5562438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5562905Z - self: 2023-07-07T20:05:31.5563255Z - node: fx.Node(unsqueeze_245[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5563542Z - aten_name: 2023-07-07T20:05:31.5563766Z - function_overloads: 2023-07-07T20:05:31.5563975Z - onnx_args: 2023-07-07T20:05:31.5564173Z - onnx_kwargs: 2023-07-07T20:05:31.5564872Z - diagnostic_context: 2023-07-07T20:05:31.5565157Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5565650Z [2023-07-07 20:00:28,744] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_246]. 2023-07-07T20:05:31.5565906Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5565919Z 2023-07-07T20:05:31.5566391Z [2023-07-07 20:00:28,744] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5566741Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5566818Z 2023-07-07T20:05:31.5567121Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5567603Z - self: 2023-07-07T20:05:31.5568083Z - node: fx.Node(unsqueeze_246[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5568289Z - aten_name: 2023-07-07T20:05:31.5568513Z - function_overloads: 2023-07-07T20:05:31.5568719Z - onnx_args: 2023-07-07T20:05:31.5568912Z - onnx_kwargs: 2023-07-07T20:05:31.5569474Z - diagnostic_context: 2023-07-07T20:05:31.5569764Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5570280Z [2023-07-07 20:00:28,747] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_247]. 2023-07-07T20:05:31.5570534Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5570551Z 2023-07-07T20:05:31.5570910Z [2023-07-07 20:00:28,747] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5571254Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5571284Z 2023-07-07T20:05:31.5571591Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5572035Z - self: 2023-07-07T20:05:31.5572380Z - node: fx.Node(unsqueeze_247[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5572574Z - aten_name: 2023-07-07T20:05:31.5572801Z - function_overloads: 2023-07-07T20:05:31.5573004Z - onnx_args: 2023-07-07T20:05:31.5573202Z - onnx_kwargs: 2023-07-07T20:05:31.5573712Z - diagnostic_context: 2023-07-07T20:05:31.5573989Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5574468Z [2023-07-07 20:00:28,755] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_31]. 2023-07-07T20:05:31.5574715Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5574726Z 2023-07-07T20:05:31.5575079Z [2023-07-07 20:00:28,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5575438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5575451Z 2023-07-07T20:05:31.5575787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5576290Z - self: 2023-07-07T20:05:31.5576675Z - node: fx.Node(convolution_31[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5576873Z - aten_name: 2023-07-07T20:05:31.5577238Z - function_overloads: 2023-07-07T20:05:31.5577459Z - onnx_args: 2023-07-07T20:05:31.5577665Z - onnx_kwargs: 2023-07-07T20:05:31.5578233Z - diagnostic_context: 2023-07-07T20:05:31.5578611Z - Return value: 2023-07-07T20:05:31.5579118Z [2023-07-07 20:00:28,761] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_31]. 2023-07-07T20:05:31.5579349Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5579676Z [2023-07-07 20:00:28,761] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5579797Z ### Exception log 2023-07-07T20:05:31.5579988Z ``` 2023-07-07T20:05:31.5580161Z Traceback (most recent call last): 2023-07-07T20:05:31.5580172Z 2023-07-07T20:05:31.5580771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5581047Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5581149Z 2023-07-07T20:05:31.5581613Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5581778Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5581788Z 2023-07-07T20:05:31.5582349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5582524Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5582535Z 2023-07-07T20:05:31.5583002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5583247Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5583258Z 2023-07-07T20:05:31.5583766Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5584010Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5584024Z 2023-07-07T20:05:31.5584639Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5584774Z result = op.Conv( 2023-07-07T20:05:31.5584783Z 2023-07-07T20:05:31.5585317Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5585447Z return op( 2023-07-07T20:05:31.5585457Z 2023-07-07T20:05:31.5585930Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5586152Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5586163Z 2023-07-07T20:05:31.5586625Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5586879Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5586888Z 2023-07-07T20:05:31.5587322Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5587528Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5587538Z 2023-07-07T20:05:31.5587980Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5588256Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5588267Z 2023-07-07T20:05:31.5588830Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5588986Z node.attribute.extend( 2023-07-07T20:05:31.5588997Z 2023-07-07T20:05:31.5589435Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5589594Z make_attribute(key, value) 2023-07-07T20:05:31.5589705Z 2023-07-07T20:05:31.5590189Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5590330Z raise ValueError( 2023-07-07T20:05:31.5590339Z 2023-07-07T20:05:31.5590651Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5590660Z 2023-07-07T20:05:31.5590760Z ``` 2023-07-07T20:05:31.5590980Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5591549Z - diagnostic_context: 2023-07-07T20:05:31.5591952Z - node: fx.Node(convolution_31[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5592406Z - symbolic_fn: 2023-07-07T20:05:31.5592631Z - torch_args: 2023-07-07T20:05:31.5592849Z - torch_kwargs: 2023-07-07T20:05:31.5593138Z - Return value: 2023-07-07T20:05:31.5593717Z [2023-07-07 20:00:28,765] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_62]. 2023-07-07T20:05:31.5594063Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5594074Z 2023-07-07T20:05:31.5594437Z [2023-07-07 20:00:28,765] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5594889Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5594901Z 2023-07-07T20:05:31.5595223Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5595731Z - self: 2023-07-07T20:05:31.5596180Z - node: fx.Node(convert_element_type_62[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5596411Z - aten_name: 2023-07-07T20:05:31.5596653Z - function_overloads: 2023-07-07T20:05:31.5596853Z - onnx_args: 2023-07-07T20:05:31.5597073Z - onnx_kwargs: 2023-07-07T20:05:31.5597628Z - diagnostic_context: 2023-07-07T20:05:31.5597919Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5598438Z [2023-07-07 20:00:28,769] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_63]. 2023-07-07T20:05:31.5598693Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5598705Z 2023-07-07T20:05:31.5599050Z [2023-07-07 20:00:28,769] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5599397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5599412Z 2023-07-07T20:05:31.5599717Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5600207Z - self: 2023-07-07T20:05:31.5600648Z - node: fx.Node(convert_element_type_63[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5600849Z - aten_name: 2023-07-07T20:05:31.5601073Z - function_overloads: 2023-07-07T20:05:31.5601273Z - onnx_args: 2023-07-07T20:05:31.5601485Z - onnx_kwargs: 2023-07-07T20:05:31.5602031Z - diagnostic_context: 2023-07-07T20:05:31.5602365Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5602828Z [2023-07-07 20:00:28,777] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_31]. 2023-07-07T20:05:31.5603065Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5603499Z [2023-07-07 20:00:28,777] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5603638Z ### Exception log 2023-07-07T20:05:31.5603752Z ``` 2023-07-07T20:05:31.5603918Z Traceback (most recent call last): 2023-07-07T20:05:31.5603928Z 2023-07-07T20:05:31.5604652Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5604801Z torch.testing.assert_close( 2023-07-07T20:05:31.5604811Z 2023-07-07T20:05:31.5605265Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5605407Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5605415Z 2023-07-07T20:05:31.5605723Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5605731Z 2023-07-07T20:05:31.5605814Z Mismatched elements: 23 / 48 (47.9%) 2023-07-07T20:05:31.5605954Z Greatest absolute difference: nan at index (4,) (up to 0.001 allowed) 2023-07-07T20:05:31.5606138Z Greatest relative difference: nan at index (4,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5606144Z 2023-07-07T20:05:31.5606209Z ``` 2023-07-07T20:05:31.5606374Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5606689Z - diagnostic_context: 2023-07-07T20:05:31.5606872Z - node: fx.Node(sqrt_31[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5607015Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5607121Z - torch_args: 2023-07-07T20:05:31.5607242Z - torch_kwargs: 2023-07-07T20:05:31.5607370Z - Return value: 2023-07-07T20:05:31.5607634Z [2023-07-07 20:00:28,781] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_31]. 2023-07-07T20:05:31.5607777Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5607782Z 2023-07-07T20:05:31.5607983Z [2023-07-07 20:00:28,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5608188Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5608197Z 2023-07-07T20:05:31.5608382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5608640Z - self: 2023-07-07T20:05:31.5608828Z - node: fx.Node(tensor_int_31[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5608942Z - aten_name: 2023-07-07T20:05:31.5609075Z - function_overloads: 2023-07-07T20:05:31.5609190Z - onnx_args: 2023-07-07T20:05:31.5609307Z - onnx_kwargs: 2023-07-07T20:05:31.5609614Z - diagnostic_context: 2023-07-07T20:05:31.5609760Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5610043Z [2023-07-07 20:00:28,793] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_248]. 2023-07-07T20:05:31.5610185Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5610193Z 2023-07-07T20:05:31.5610391Z [2023-07-07 20:00:28,793] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5610594Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5610600Z 2023-07-07T20:05:31.5610782Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5611050Z - self: 2023-07-07T20:05:31.5611257Z - node: fx.Node(unsqueeze_248[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5611371Z - aten_name: 2023-07-07T20:05:31.5611489Z - function_overloads: 2023-07-07T20:05:31.5611608Z - onnx_args: 2023-07-07T20:05:31.5611759Z - onnx_kwargs: 2023-07-07T20:05:31.5612066Z - diagnostic_context: 2023-07-07T20:05:31.5612224Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5612506Z [2023-07-07 20:00:28,796] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_249]. 2023-07-07T20:05:31.5612647Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5612654Z 2023-07-07T20:05:31.5612852Z [2023-07-07 20:00:28,796] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5613043Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5613111Z 2023-07-07T20:05:31.5613298Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5613567Z - self: 2023-07-07T20:05:31.5613815Z - node: fx.Node(unsqueeze_249[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5613958Z - aten_name: 2023-07-07T20:05:31.5614090Z - function_overloads: 2023-07-07T20:05:31.5614206Z - onnx_args: 2023-07-07T20:05:31.5614325Z - onnx_kwargs: 2023-07-07T20:05:31.5614696Z - diagnostic_context: 2023-07-07T20:05:31.5614859Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5615139Z [2023-07-07 20:00:28,798] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_250]. 2023-07-07T20:05:31.5615285Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5615291Z 2023-07-07T20:05:31.5615487Z [2023-07-07 20:00:28,799] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5615693Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5615701Z 2023-07-07T20:05:31.5615883Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5616153Z - self: 2023-07-07T20:05:31.5616358Z - node: fx.Node(unsqueeze_250[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5616459Z - aten_name: 2023-07-07T20:05:31.5616592Z - function_overloads: 2023-07-07T20:05:31.5616707Z - onnx_args: 2023-07-07T20:05:31.5616824Z - onnx_kwargs: 2023-07-07T20:05:31.5617129Z - diagnostic_context: 2023-07-07T20:05:31.5617289Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5617569Z [2023-07-07 20:00:28,801] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_251]. 2023-07-07T20:05:31.5617703Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5617723Z 2023-07-07T20:05:31.5617906Z [2023-07-07 20:00:28,801] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5618112Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5618117Z 2023-07-07T20:05:31.5618303Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5618572Z - self: 2023-07-07T20:05:31.5618778Z - node: fx.Node(unsqueeze_251[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5618891Z - aten_name: 2023-07-07T20:05:31.5619024Z - function_overloads: 2023-07-07T20:05:31.5619140Z - onnx_args: 2023-07-07T20:05:31.5619244Z - onnx_kwargs: 2023-07-07T20:05:31.5619597Z - diagnostic_context: 2023-07-07T20:05:31.5619758Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5620039Z [2023-07-07 20:00:28,812] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_252]. 2023-07-07T20:05:31.5620182Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5620187Z 2023-07-07T20:05:31.5620382Z [2023-07-07 20:00:28,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5620585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5620591Z 2023-07-07T20:05:31.5620801Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5621058Z - self: 2023-07-07T20:05:31.5621265Z - node: fx.Node(unsqueeze_252[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5621410Z - aten_name: 2023-07-07T20:05:31.5621543Z - function_overloads: 2023-07-07T20:05:31.5621689Z - onnx_args: 2023-07-07T20:05:31.5621810Z - onnx_kwargs: 2023-07-07T20:05:31.5622111Z - diagnostic_context: 2023-07-07T20:05:31.5622269Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5622533Z [2023-07-07 20:00:28,815] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_253]. 2023-07-07T20:05:31.5622674Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5622680Z 2023-07-07T20:05:31.5622877Z [2023-07-07 20:00:28,815] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5623079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5623087Z 2023-07-07T20:05:31.5623273Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5623539Z - self: 2023-07-07T20:05:31.5623749Z - node: fx.Node(unsqueeze_253[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5623863Z - aten_name: 2023-07-07T20:05:31.5623982Z - function_overloads: 2023-07-07T20:05:31.5624165Z - onnx_args: 2023-07-07T20:05:31.5624285Z - onnx_kwargs: 2023-07-07T20:05:31.5624585Z - diagnostic_context: 2023-07-07T20:05:31.5624742Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5625121Z [2023-07-07 20:00:28,823] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_254]. 2023-07-07T20:05:31.5625264Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5625274Z 2023-07-07T20:05:31.5625473Z [2023-07-07 20:00:28,823] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5625664Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5625685Z 2023-07-07T20:05:31.5625858Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5626125Z - self: 2023-07-07T20:05:31.5626330Z - node: fx.Node(unsqueeze_254[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5626444Z - aten_name: 2023-07-07T20:05:31.5626579Z - function_overloads: 2023-07-07T20:05:31.5626694Z - onnx_args: 2023-07-07T20:05:31.5626812Z - onnx_kwargs: 2023-07-07T20:05:31.5627103Z - diagnostic_context: 2023-07-07T20:05:31.5627263Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5627571Z [2023-07-07 20:00:28,826] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_255]. 2023-07-07T20:05:31.5627717Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5627723Z 2023-07-07T20:05:31.5627921Z [2023-07-07 20:00:28,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5628123Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5628129Z 2023-07-07T20:05:31.5628309Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5628610Z - self: 2023-07-07T20:05:31.5628819Z - node: fx.Node(unsqueeze_255[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5628918Z - aten_name: 2023-07-07T20:05:31.5629084Z - function_overloads: 2023-07-07T20:05:31.5629200Z - onnx_args: 2023-07-07T20:05:31.5629317Z - onnx_kwargs: 2023-07-07T20:05:31.5629651Z - diagnostic_context: 2023-07-07T20:05:31.5629807Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5630053Z [2023-07-07 20:00:28,842] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_8]. 2023-07-07T20:05:31.5630171Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5630190Z 2023-07-07T20:05:31.5630371Z [2023-07-07 20:00:28,842] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5630576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5630582Z 2023-07-07T20:05:31.5630765Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5631036Z - self: 2023-07-07T20:05:31.5631209Z - node: fx.Node(cat_8[call_function]'aten.cat.default') 2023-07-07T20:05:31.5631325Z - aten_name: 2023-07-07T20:05:31.5631457Z - function_overloads: 2023-07-07T20:05:31.5631571Z - onnx_args: 2023-07-07T20:05:31.5631674Z - onnx_kwargs: 2023-07-07T20:05:31.5631977Z - diagnostic_context: 2023-07-07T20:05:31.5632121Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.5632385Z [2023-07-07 20:00:28,850] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_8]. 2023-07-07T20:05:31.5632527Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5632533Z 2023-07-07T20:05:31.5632728Z [2023-07-07 20:00:28,850] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5632934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5632940Z 2023-07-07T20:05:31.5633121Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5633388Z - self: 2023-07-07T20:05:31.5633570Z - node: fx.Node(transpose_8[call_function]'aten.transpose.int') 2023-07-07T20:05:31.5633682Z - aten_name: 2023-07-07T20:05:31.5633815Z - function_overloads: 2023-07-07T20:05:31.5633930Z - onnx_args: 2023-07-07T20:05:31.5634046Z - onnx_kwargs: 2023-07-07T20:05:31.5634355Z - diagnostic_context: 2023-07-07T20:05:31.5634563Z - Return value: 2023-07-07T20:05:31.5634888Z [2023-07-07 20:00:28,853] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_8]. 2023-07-07T20:05:31.5635061Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5635067Z 2023-07-07T20:05:31.5635267Z [2023-07-07 20:00:28,853] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5635470Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5635475Z 2023-07-07T20:05:31.5635658Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5635926Z - self: 2023-07-07T20:05:31.5636111Z - node: fx.Node(clone_8[call_function]'aten.clone.default') 2023-07-07T20:05:31.5636257Z - aten_name: 2023-07-07T20:05:31.5636377Z - function_overloads: 2023-07-07T20:05:31.5636495Z - onnx_args: 2023-07-07T20:05:31.5636611Z - onnx_kwargs: 2023-07-07T20:05:31.5636953Z - diagnostic_context: 2023-07-07T20:05:31.5637101Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.5637393Z [2023-07-07 20:00:28,861] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_7]. 2023-07-07T20:05:31.5637527Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5637534Z 2023-07-07T20:05:31.5637729Z [2023-07-07 20:00:28,861] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5637917Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5637937Z 2023-07-07T20:05:31.5638108Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5638374Z - self: 2023-07-07T20:05:31.5638559Z - node: fx.Node(split_7[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.5638679Z - aten_name: 2023-07-07T20:05:31.5638812Z - function_overloads: 2023-07-07T20:05:31.5638927Z - onnx_args: 2023-07-07T20:05:31.5639044Z - onnx_kwargs: 2023-07-07T20:05:31.5639334Z - diagnostic_context: 2023-07-07T20:05:31.5639483Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.5639753Z [2023-07-07 20:00:28,864] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_16]. 2023-07-07T20:05:31.5639892Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5639897Z 2023-07-07T20:05:31.5640094Z [2023-07-07 20:00:28,864] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5640296Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5640304Z 2023-07-07T20:05:31.5640488Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5640755Z - self: 2023-07-07T20:05:31.5640962Z - node: fx.Node(getitem_16[call_function]'') 2023-07-07T20:05:31.5641063Z - aten_name: 2023-07-07T20:05:31.5641196Z - function_overloads: 2023-07-07T20:05:31.5641312Z - onnx_args: 2023-07-07T20:05:31.5641428Z - onnx_kwargs: 2023-07-07T20:05:31.5641732Z - diagnostic_context: 2023-07-07T20:05:31.5641884Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5642159Z [2023-07-07 20:00:28,866] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_17]. 2023-07-07T20:05:31.5642295Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5642303Z 2023-07-07T20:05:31.5642517Z [2023-07-07 20:00:28,866] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5642722Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5642730Z 2023-07-07T20:05:31.5642912Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5643181Z - self: 2023-07-07T20:05:31.5643383Z - node: fx.Node(getitem_17[call_function]'') 2023-07-07T20:05:31.5643495Z - aten_name: 2023-07-07T20:05:31.5643626Z - function_overloads: 2023-07-07T20:05:31.5643740Z - onnx_args: 2023-07-07T20:05:31.5643870Z - onnx_kwargs: 2023-07-07T20:05:31.5644178Z - diagnostic_context: 2023-07-07T20:05:31.5644360Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5644846Z [2023-07-07 20:00:28,868] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_32]. 2023-07-07T20:05:31.5645051Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5645056Z 2023-07-07T20:05:31.5645253Z [2023-07-07 20:00:28,868] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5645456Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5645462Z 2023-07-07T20:05:31.5645645Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5645917Z - self: 2023-07-07T20:05:31.5646119Z - node: fx.Node(convolution_32[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5646232Z - aten_name: 2023-07-07T20:05:31.5646367Z - function_overloads: 2023-07-07T20:05:31.5646485Z - onnx_args: 2023-07-07T20:05:31.5646602Z - onnx_kwargs: 2023-07-07T20:05:31.5646911Z - diagnostic_context: 2023-07-07T20:05:31.5647123Z - Return value: 2023-07-07T20:05:31.5647473Z [2023-07-07 20:00:28,874] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_32]. 2023-07-07T20:05:31.5647653Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5647857Z [2023-07-07 20:00:28,874] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5647932Z ### Exception log 2023-07-07T20:05:31.5647993Z ``` 2023-07-07T20:05:31.5648090Z Traceback (most recent call last): 2023-07-07T20:05:31.5648096Z 2023-07-07T20:05:31.5648429Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5648555Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5648561Z 2023-07-07T20:05:31.5648813Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5648909Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5648914Z 2023-07-07T20:05:31.5649233Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5649327Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5649332Z 2023-07-07T20:05:31.5649592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5649729Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5649736Z 2023-07-07T20:05:31.5650008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5650197Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5650204Z 2023-07-07T20:05:31.5650534Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5650614Z result = op.Conv( 2023-07-07T20:05:31.5650620Z 2023-07-07T20:05:31.5650892Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5650963Z return op( 2023-07-07T20:05:31.5650968Z 2023-07-07T20:05:31.5651227Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5651385Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5651392Z 2023-07-07T20:05:31.5651655Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5651865Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5651870Z 2023-07-07T20:05:31.5652130Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5652285Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5652290Z 2023-07-07T20:05:31.5652556Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5652732Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5652738Z 2023-07-07T20:05:31.5652978Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5653074Z node.attribute.extend( 2023-07-07T20:05:31.5653080Z 2023-07-07T20:05:31.5653334Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5653426Z make_attribute(key, value) 2023-07-07T20:05:31.5653431Z 2023-07-07T20:05:31.5653695Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5653776Z raise ValueError( 2023-07-07T20:05:31.5653781Z 2023-07-07T20:05:31.5653957Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5653963Z 2023-07-07T20:05:31.5654024Z ``` 2023-07-07T20:05:31.5654146Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5654442Z - diagnostic_context: 2023-07-07T20:05:31.5654658Z - node: fx.Node(convolution_32[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5654870Z - symbolic_fn: 2023-07-07T20:05:31.5654987Z - torch_args: 2023-07-07T20:05:31.5655105Z - torch_kwargs: 2023-07-07T20:05:31.5655236Z - Return value: 2023-07-07T20:05:31.5655660Z [2023-07-07 20:00:28,879] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_64]. 2023-07-07T20:05:31.5655822Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5655828Z 2023-07-07T20:05:31.5656016Z [2023-07-07 20:00:28,879] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5656221Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5656227Z 2023-07-07T20:05:31.5656413Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5656683Z - self: 2023-07-07T20:05:31.5656926Z - node: fx.Node(convert_element_type_64[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5657039Z - aten_name: 2023-07-07T20:05:31.5657174Z - function_overloads: 2023-07-07T20:05:31.5657320Z - onnx_args: 2023-07-07T20:05:31.5657431Z - onnx_kwargs: 2023-07-07T20:05:31.5657896Z - diagnostic_context: 2023-07-07T20:05:31.5658183Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5658658Z [2023-07-07 20:00:28,882] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_65]. 2023-07-07T20:05:31.5658894Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5658901Z 2023-07-07T20:05:31.5659202Z [2023-07-07 20:00:28,882] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5659545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5659555Z 2023-07-07T20:05:31.5659832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5660278Z - self: 2023-07-07T20:05:31.5660673Z - node: fx.Node(convert_element_type_65[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5660841Z - aten_name: 2023-07-07T20:05:31.5661038Z - function_overloads: 2023-07-07T20:05:31.5661210Z - onnx_args: 2023-07-07T20:05:31.5661387Z - onnx_kwargs: 2023-07-07T20:05:31.5661846Z - diagnostic_context: 2023-07-07T20:05:31.5662124Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5662514Z [2023-07-07 20:00:28,891] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_32]. 2023-07-07T20:05:31.5662700Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5662983Z [2023-07-07 20:00:28,891] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5663097Z ### Exception log 2023-07-07T20:05:31.5663189Z ``` 2023-07-07T20:05:31.5663332Z Traceback (most recent call last): 2023-07-07T20:05:31.5663343Z 2023-07-07T20:05:31.5663851Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5663995Z torch.testing.assert_close( 2023-07-07T20:05:31.5664003Z 2023-07-07T20:05:31.5664432Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5664558Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5664566Z 2023-07-07T20:05:31.5664805Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5664816Z 2023-07-07T20:05:31.5664952Z Mismatched elements: 21 / 48 (43.8%) 2023-07-07T20:05:31.5665157Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.5665367Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5665375Z 2023-07-07T20:05:31.5665465Z ``` 2023-07-07T20:05:31.5665644Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5666111Z - diagnostic_context: 2023-07-07T20:05:31.5666370Z - node: fx.Node(sqrt_32[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5666587Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5666763Z - torch_args: 2023-07-07T20:05:31.5666947Z - torch_kwargs: 2023-07-07T20:05:31.5667140Z - Return value: 2023-07-07T20:05:31.5667533Z [2023-07-07 20:00:28,894] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_32]. 2023-07-07T20:05:31.5667745Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5667754Z 2023-07-07T20:05:31.5668053Z [2023-07-07 20:00:28,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5668384Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5668395Z 2023-07-07T20:05:31.5668675Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5669077Z - self: 2023-07-07T20:05:31.5669363Z - node: fx.Node(tensor_int_32[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5669491Z - aten_name: 2023-07-07T20:05:31.5669625Z - function_overloads: 2023-07-07T20:05:31.5669742Z - onnx_args: 2023-07-07T20:05:31.5669858Z - onnx_kwargs: 2023-07-07T20:05:31.5670202Z - diagnostic_context: 2023-07-07T20:05:31.5670363Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5670680Z [2023-07-07 20:00:28,907] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_256]. 2023-07-07T20:05:31.5670823Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5670859Z 2023-07-07T20:05:31.5671058Z [2023-07-07 20:00:28,907] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5671261Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5671267Z 2023-07-07T20:05:31.5671452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5671720Z - self: 2023-07-07T20:05:31.5671929Z - node: fx.Node(unsqueeze_256[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5672031Z - aten_name: 2023-07-07T20:05:31.5672163Z - function_overloads: 2023-07-07T20:05:31.5672279Z - onnx_args: 2023-07-07T20:05:31.5672397Z - onnx_kwargs: 2023-07-07T20:05:31.5672700Z - diagnostic_context: 2023-07-07T20:05:31.5672857Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5673135Z [2023-07-07 20:00:28,909] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_257]. 2023-07-07T20:05:31.5673265Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5673271Z 2023-07-07T20:05:31.5673468Z [2023-07-07 20:00:28,910] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5673668Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5673674Z 2023-07-07T20:05:31.5673858Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5674124Z - self: 2023-07-07T20:05:31.5674333Z - node: fx.Node(unsqueeze_257[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5674446Z - aten_name: 2023-07-07T20:05:31.5674580Z - function_overloads: 2023-07-07T20:05:31.5674761Z - onnx_args: 2023-07-07T20:05:31.5674882Z - onnx_kwargs: 2023-07-07T20:05:31.5675186Z - diagnostic_context: 2023-07-07T20:05:31.5675344Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5675622Z [2023-07-07 20:00:28,912] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_258]. 2023-07-07T20:05:31.5675763Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5675769Z 2023-07-07T20:05:31.5675969Z [2023-07-07 20:00:28,912] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5676173Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5676214Z 2023-07-07T20:05:31.5676401Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5676656Z - self: 2023-07-07T20:05:31.5676864Z - node: fx.Node(unsqueeze_258[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5676977Z - aten_name: 2023-07-07T20:05:31.5677108Z - function_overloads: 2023-07-07T20:05:31.5677222Z - onnx_args: 2023-07-07T20:05:31.5677338Z - onnx_kwargs: 2023-07-07T20:05:31.5677641Z - diagnostic_context: 2023-07-07T20:05:31.5677816Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5678096Z [2023-07-07 20:00:28,915] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_259]. 2023-07-07T20:05:31.5678266Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5678272Z 2023-07-07T20:05:31.5678468Z [2023-07-07 20:00:28,915] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5678701Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5678707Z 2023-07-07T20:05:31.5678890Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5679162Z - self: 2023-07-07T20:05:31.5679371Z - node: fx.Node(unsqueeze_259[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5679484Z - aten_name: 2023-07-07T20:05:31.5679606Z - function_overloads: 2023-07-07T20:05:31.5679723Z - onnx_args: 2023-07-07T20:05:31.5679838Z - onnx_kwargs: 2023-07-07T20:05:31.5680144Z - diagnostic_context: 2023-07-07T20:05:31.5680303Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5680583Z [2023-07-07 20:00:28,926] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_260]. 2023-07-07T20:05:31.5680729Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5680734Z 2023-07-07T20:05:31.5680929Z [2023-07-07 20:00:28,926] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5681120Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5681138Z 2023-07-07T20:05:31.5681308Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5681577Z - self: 2023-07-07T20:05:31.5681784Z - node: fx.Node(unsqueeze_260[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5681900Z - aten_name: 2023-07-07T20:05:31.5682034Z - function_overloads: 2023-07-07T20:05:31.5682148Z - onnx_args: 2023-07-07T20:05:31.5682266Z - onnx_kwargs: 2023-07-07T20:05:31.5682558Z - diagnostic_context: 2023-07-07T20:05:31.5682715Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5682991Z [2023-07-07 20:00:28,929] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_261]. 2023-07-07T20:05:31.5683133Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5683139Z 2023-07-07T20:05:31.5683333Z [2023-07-07 20:00:28,930] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5683538Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5683544Z 2023-07-07T20:05:31.5683756Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5684025Z - self: 2023-07-07T20:05:31.5684233Z - node: fx.Node(unsqueeze_261[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5684333Z - aten_name: 2023-07-07T20:05:31.5684626Z - function_overloads: 2023-07-07T20:05:31.5684745Z - onnx_args: 2023-07-07T20:05:31.5684861Z - onnx_kwargs: 2023-07-07T20:05:31.5685166Z - diagnostic_context: 2023-07-07T20:05:31.5685323Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5685656Z [2023-07-07 20:00:28,936] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_262]. 2023-07-07T20:05:31.5685788Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5685847Z 2023-07-07T20:05:31.5686035Z [2023-07-07 20:00:28,936] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5686240Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5686280Z 2023-07-07T20:05:31.5686463Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5686730Z - self: 2023-07-07T20:05:31.5686939Z - node: fx.Node(unsqueeze_262[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5687052Z - aten_name: 2023-07-07T20:05:31.5687217Z - function_overloads: 2023-07-07T20:05:31.5687388Z - onnx_args: 2023-07-07T20:05:31.5687559Z - onnx_kwargs: 2023-07-07T20:05:31.5687935Z - diagnostic_context: 2023-07-07T20:05:31.5688134Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5688417Z [2023-07-07 20:00:28,939] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_263]. 2023-07-07T20:05:31.5688560Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5688567Z 2023-07-07T20:05:31.5688764Z [2023-07-07 20:00:28,939] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5688963Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5688969Z 2023-07-07T20:05:31.5689153Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5689421Z - self: 2023-07-07T20:05:31.5689619Z - node: fx.Node(unsqueeze_263[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5689733Z - aten_name: 2023-07-07T20:05:31.5689871Z - function_overloads: 2023-07-07T20:05:31.5689990Z - onnx_args: 2023-07-07T20:05:31.5690107Z - onnx_kwargs: 2023-07-07T20:05:31.5690411Z - diagnostic_context: 2023-07-07T20:05:31.5690571Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5690845Z [2023-07-07 20:00:28,956] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_33]. 2023-07-07T20:05:31.5690987Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5690993Z 2023-07-07T20:05:31.5691189Z [2023-07-07 20:00:28,956] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5691389Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5691395Z 2023-07-07T20:05:31.5691576Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5691891Z - self: 2023-07-07T20:05:31.5692110Z - node: fx.Node(convolution_33[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5692225Z - aten_name: 2023-07-07T20:05:31.5692357Z - function_overloads: 2023-07-07T20:05:31.5692461Z - onnx_args: 2023-07-07T20:05:31.5692575Z - onnx_kwargs: 2023-07-07T20:05:31.5692879Z - diagnostic_context: 2023-07-07T20:05:31.5693091Z - Return value: 2023-07-07T20:05:31.5693375Z [2023-07-07 20:00:28,962] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_33]. 2023-07-07T20:05:31.5693551Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5693755Z [2023-07-07 20:00:28,962] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5693847Z ### Exception log 2023-07-07T20:05:31.5693909Z ``` 2023-07-07T20:05:31.5694007Z Traceback (most recent call last): 2023-07-07T20:05:31.5694013Z 2023-07-07T20:05:31.5694391Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5694515Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5694521Z 2023-07-07T20:05:31.5694783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5694877Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5694883Z 2023-07-07T20:05:31.5695204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5695300Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5695305Z 2023-07-07T20:05:31.5695553Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5695695Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5695701Z 2023-07-07T20:05:31.5695980Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5696115Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5696121Z 2023-07-07T20:05:31.5696449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5696524Z result = op.Conv( 2023-07-07T20:05:31.5696530Z 2023-07-07T20:05:31.5696816Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5696887Z return op( 2023-07-07T20:05:31.5696892Z 2023-07-07T20:05:31.5697148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5697281Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5697286Z 2023-07-07T20:05:31.5697532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5697663Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5697669Z 2023-07-07T20:05:31.5697929Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5698054Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5698060Z 2023-07-07T20:05:31.5698326Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5698506Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5698512Z 2023-07-07T20:05:31.5698766Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5698900Z node.attribute.extend( 2023-07-07T20:05:31.5698907Z 2023-07-07T20:05:31.5699160Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5699250Z make_attribute(key, value) 2023-07-07T20:05:31.5699256Z 2023-07-07T20:05:31.5699504Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5699583Z raise ValueError( 2023-07-07T20:05:31.5699588Z 2023-07-07T20:05:31.5699759Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5699764Z 2023-07-07T20:05:31.5699826Z ``` 2023-07-07T20:05:31.5699948Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5700288Z - diagnostic_context: 2023-07-07T20:05:31.5700505Z - node: fx.Node(convolution_33[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5700748Z - symbolic_fn: 2023-07-07T20:05:31.5700855Z - torch_args: 2023-07-07T20:05:31.5701012Z - torch_kwargs: 2023-07-07T20:05:31.5701143Z - Return value: 2023-07-07T20:05:31.5701454Z [2023-07-07 20:00:28,967] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_66]. 2023-07-07T20:05:31.5701613Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5701619Z 2023-07-07T20:05:31.5701819Z [2023-07-07 20:00:28,967] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5702024Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5702030Z 2023-07-07T20:05:31.5702213Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5702486Z - self: 2023-07-07T20:05:31.5702712Z - node: fx.Node(convert_element_type_66[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5702829Z - aten_name: 2023-07-07T20:05:31.5702963Z - function_overloads: 2023-07-07T20:05:31.5703078Z - onnx_args: 2023-07-07T20:05:31.5703193Z - onnx_kwargs: 2023-07-07T20:05:31.5703498Z - diagnostic_context: 2023-07-07T20:05:31.5703681Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5703981Z [2023-07-07 20:00:28,970] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_67]. 2023-07-07T20:05:31.5704139Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5704145Z 2023-07-07T20:05:31.5704343Z [2023-07-07 20:00:28,970] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5704547Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5704555Z 2023-07-07T20:05:31.5704738Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5705005Z - self: 2023-07-07T20:05:31.5705244Z - node: fx.Node(convert_element_type_67[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5705359Z - aten_name: 2023-07-07T20:05:31.5705491Z - function_overloads: 2023-07-07T20:05:31.5705594Z - onnx_args: 2023-07-07T20:05:31.5705714Z - onnx_kwargs: 2023-07-07T20:05:31.5706017Z - diagnostic_context: 2023-07-07T20:05:31.5706199Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5706489Z [2023-07-07 20:00:28,978] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_33]. 2023-07-07T20:05:31.5706626Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5706810Z [2023-07-07 20:00:28,979] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5706884Z ### Exception log 2023-07-07T20:05:31.5706932Z ``` 2023-07-07T20:05:31.5707027Z Traceback (most recent call last): 2023-07-07T20:05:31.5707032Z 2023-07-07T20:05:31.5707362Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5707459Z torch.testing.assert_close( 2023-07-07T20:05:31.5707464Z 2023-07-07T20:05:31.5707778Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5707875Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5707907Z 2023-07-07T20:05:31.5708068Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5708073Z 2023-07-07T20:05:31.5708166Z Mismatched elements: 18 / 48 (37.5%) 2023-07-07T20:05:31.5708320Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.5708459Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5708464Z 2023-07-07T20:05:31.5708522Z ``` 2023-07-07T20:05:31.5708643Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5708952Z - diagnostic_context: 2023-07-07T20:05:31.5709134Z - node: fx.Node(sqrt_33[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5709274Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5709396Z - torch_args: 2023-07-07T20:05:31.5709503Z - torch_kwargs: 2023-07-07T20:05:31.5709632Z - Return value: 2023-07-07T20:05:31.5709895Z [2023-07-07 20:00:28,982] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_33]. 2023-07-07T20:05:31.5710037Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5710045Z 2023-07-07T20:05:31.5710240Z [2023-07-07 20:00:28,982] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5710448Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5710454Z 2023-07-07T20:05:31.5710637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5710905Z - self: 2023-07-07T20:05:31.5711083Z - node: fx.Node(tensor_int_33[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5711199Z - aten_name: 2023-07-07T20:05:31.5711329Z - function_overloads: 2023-07-07T20:05:31.5711445Z - onnx_args: 2023-07-07T20:05:31.5711563Z - onnx_kwargs: 2023-07-07T20:05:31.5711870Z - diagnostic_context: 2023-07-07T20:05:31.5712033Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5712314Z [2023-07-07 20:00:28,995] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_264]. 2023-07-07T20:05:31.5712444Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5712450Z 2023-07-07T20:05:31.5712648Z [2023-07-07 20:00:28,995] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5712852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5712857Z 2023-07-07T20:05:31.5713042Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5713308Z - self: 2023-07-07T20:05:31.5713554Z - node: fx.Node(unsqueeze_264[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5713668Z - aten_name: 2023-07-07T20:05:31.5713801Z - function_overloads: 2023-07-07T20:05:31.5713903Z - onnx_args: 2023-07-07T20:05:31.5714019Z - onnx_kwargs: 2023-07-07T20:05:31.5714320Z - diagnostic_context: 2023-07-07T20:05:31.5714479Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5714846Z [2023-07-07 20:00:28,997] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_265]. 2023-07-07T20:05:31.5714991Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5714996Z 2023-07-07T20:05:31.5715264Z [2023-07-07 20:00:28,998] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5715467Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5715503Z 2023-07-07T20:05:31.5715688Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5715971Z - self: 2023-07-07T20:05:31.5716179Z - node: fx.Node(unsqueeze_265[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5716293Z - aten_name: 2023-07-07T20:05:31.5716425Z - function_overloads: 2023-07-07T20:05:31.5716542Z - onnx_args: 2023-07-07T20:05:31.5716657Z - onnx_kwargs: 2023-07-07T20:05:31.5716960Z - diagnostic_context: 2023-07-07T20:05:31.5717106Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5717387Z [2023-07-07 20:00:29,000] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_266]. 2023-07-07T20:05:31.5717531Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5717540Z 2023-07-07T20:05:31.5717737Z [2023-07-07 20:00:29,000] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5717942Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5717947Z 2023-07-07T20:05:31.5718131Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5718398Z - self: 2023-07-07T20:05:31.5718606Z - node: fx.Node(unsqueeze_266[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5718719Z - aten_name: 2023-07-07T20:05:31.5718841Z - function_overloads: 2023-07-07T20:05:31.5718960Z - onnx_args: 2023-07-07T20:05:31.5719078Z - onnx_kwargs: 2023-07-07T20:05:31.5719378Z - diagnostic_context: 2023-07-07T20:05:31.5719539Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5719818Z [2023-07-07 20:00:29,003] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_267]. 2023-07-07T20:05:31.5719961Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5719966Z 2023-07-07T20:05:31.5720161Z [2023-07-07 20:00:29,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5720349Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5720367Z 2023-07-07T20:05:31.5720536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5720805Z - self: 2023-07-07T20:05:31.5721012Z - node: fx.Node(unsqueeze_267[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5721129Z - aten_name: 2023-07-07T20:05:31.5721301Z - function_overloads: 2023-07-07T20:05:31.5721418Z - onnx_args: 2023-07-07T20:05:31.5721539Z - onnx_kwargs: 2023-07-07T20:05:31.5721830Z - diagnostic_context: 2023-07-07T20:05:31.5721987Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5722265Z [2023-07-07 20:00:29,014] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_268]. 2023-07-07T20:05:31.5722408Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5722413Z 2023-07-07T20:05:31.5722611Z [2023-07-07 20:00:29,014] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5722854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5722862Z 2023-07-07T20:05:31.5723151Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5723562Z - self: 2023-07-07T20:05:31.5723913Z - node: fx.Node(unsqueeze_268[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5724071Z - aten_name: 2023-07-07T20:05:31.5724272Z - function_overloads: 2023-07-07T20:05:31.5724562Z - onnx_args: 2023-07-07T20:05:31.5724749Z - onnx_kwargs: 2023-07-07T20:05:31.5725212Z - diagnostic_context: 2023-07-07T20:05:31.5725452Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5725877Z [2023-07-07 20:00:29,017] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_269]. 2023-07-07T20:05:31.5726075Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5726098Z 2023-07-07T20:05:31.5726391Z [2023-07-07 20:00:29,017] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5726693Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5726704Z 2023-07-07T20:05:31.5726979Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5727382Z - self: 2023-07-07T20:05:31.5727694Z - node: fx.Node(unsqueeze_269[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5727866Z - aten_name: 2023-07-07T20:05:31.5728069Z - function_overloads: 2023-07-07T20:05:31.5728240Z - onnx_args: 2023-07-07T20:05:31.5728408Z - onnx_kwargs: 2023-07-07T20:05:31.5728870Z - diagnostic_context: 2023-07-07T20:05:31.5729111Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5729540Z [2023-07-07 20:00:29,024] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_270]. 2023-07-07T20:05:31.5729756Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5729764Z 2023-07-07T20:05:31.5730063Z [2023-07-07 20:00:29,024] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5730368Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5730377Z 2023-07-07T20:05:31.5730655Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5731047Z - self: 2023-07-07T20:05:31.5731359Z - node: fx.Node(unsqueeze_270[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5731526Z - aten_name: 2023-07-07T20:05:31.5731728Z - function_overloads: 2023-07-07T20:05:31.5731907Z - onnx_args: 2023-07-07T20:05:31.5732161Z - onnx_kwargs: 2023-07-07T20:05:31.5732621Z - diagnostic_context: 2023-07-07T20:05:31.5732860Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5733264Z [2023-07-07 20:00:29,027] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_271]. 2023-07-07T20:05:31.5733474Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5733482Z 2023-07-07T20:05:31.5733779Z [2023-07-07 20:00:29,027] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5734130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5734139Z 2023-07-07T20:05:31.5734412Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5734864Z - self: 2023-07-07T20:05:31.5735175Z - node: fx.Node(unsqueeze_271[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5735389Z - aten_name: 2023-07-07T20:05:31.5735577Z - function_overloads: 2023-07-07T20:05:31.5735753Z - onnx_args: 2023-07-07T20:05:31.5735930Z - onnx_kwargs: 2023-07-07T20:05:31.5736392Z - diagnostic_context: 2023-07-07T20:05:31.5736628Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5737069Z [2023-07-07 20:00:29,035] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_34]. 2023-07-07T20:05:31.5737298Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5737305Z 2023-07-07T20:05:31.5737583Z [2023-07-07 20:00:29,035] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5737776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5737796Z 2023-07-07T20:05:31.5737966Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5738235Z - self: 2023-07-07T20:05:31.5738452Z - node: fx.Node(convolution_34[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5738569Z - aten_name: 2023-07-07T20:05:31.5738701Z - function_overloads: 2023-07-07T20:05:31.5738815Z - onnx_args: 2023-07-07T20:05:31.5738930Z - onnx_kwargs: 2023-07-07T20:05:31.5739223Z - diagnostic_context: 2023-07-07T20:05:31.5739435Z - Return value: 2023-07-07T20:05:31.5739723Z [2023-07-07 20:00:29,041] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_34]. 2023-07-07T20:05:31.5739868Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5740072Z [2023-07-07 20:00:29,041] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5740146Z ### Exception log 2023-07-07T20:05:31.5740205Z ``` 2023-07-07T20:05:31.5740303Z Traceback (most recent call last): 2023-07-07T20:05:31.5740309Z 2023-07-07T20:05:31.5740629Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5740755Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5740761Z 2023-07-07T20:05:31.5741025Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5741118Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5741124Z 2023-07-07T20:05:31.5741493Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5741594Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5741601Z 2023-07-07T20:05:31.5741860Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5741995Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5742002Z 2023-07-07T20:05:31.5742277Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5742412Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5742417Z 2023-07-07T20:05:31.5742761Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5742842Z result = op.Conv( 2023-07-07T20:05:31.5742847Z 2023-07-07T20:05:31.5743168Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5743238Z return op( 2023-07-07T20:05:31.5743243Z 2023-07-07T20:05:31.5743527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5743653Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5743658Z 2023-07-07T20:05:31.5743917Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5744046Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5744051Z 2023-07-07T20:05:31.5744311Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5744435Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5744440Z 2023-07-07T20:05:31.5744696Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5744878Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5744886Z 2023-07-07T20:05:31.5745139Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5745229Z node.attribute.extend( 2023-07-07T20:05:31.5745235Z 2023-07-07T20:05:31.5745488Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5745575Z make_attribute(key, value) 2023-07-07T20:05:31.5745580Z 2023-07-07T20:05:31.5745840Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5745918Z raise ValueError( 2023-07-07T20:05:31.5745926Z 2023-07-07T20:05:31.5746099Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5746104Z 2023-07-07T20:05:31.5746154Z ``` 2023-07-07T20:05:31.5746274Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5746582Z - diagnostic_context: 2023-07-07T20:05:31.5746799Z - node: fx.Node(convolution_34[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5747009Z - symbolic_fn: 2023-07-07T20:05:31.5747128Z - torch_args: 2023-07-07T20:05:31.5747247Z - torch_kwargs: 2023-07-07T20:05:31.5747375Z - Return value: 2023-07-07T20:05:31.5747673Z [2023-07-07 20:00:29,046] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_68]. 2023-07-07T20:05:31.5747837Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5747842Z 2023-07-07T20:05:31.5748037Z [2023-07-07 20:00:29,046] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5748272Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5748279Z 2023-07-07T20:05:31.5748465Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5748733Z - self: 2023-07-07T20:05:31.5748973Z - node: fx.Node(convert_element_type_68[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5749087Z - aten_name: 2023-07-07T20:05:31.5749219Z - function_overloads: 2023-07-07T20:05:31.5749321Z - onnx_args: 2023-07-07T20:05:31.5749438Z - onnx_kwargs: 2023-07-07T20:05:31.5749770Z - diagnostic_context: 2023-07-07T20:05:31.5749954Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5750265Z [2023-07-07 20:00:29,049] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_69]. 2023-07-07T20:05:31.5750452Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5750497Z 2023-07-07T20:05:31.5750695Z [2023-07-07 20:00:29,049] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5750898Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5750904Z 2023-07-07T20:05:31.5751075Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5751342Z - self: 2023-07-07T20:05:31.5751585Z - node: fx.Node(convert_element_type_69[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5751699Z - aten_name: 2023-07-07T20:05:31.5751829Z - function_overloads: 2023-07-07T20:05:31.5751946Z - onnx_args: 2023-07-07T20:05:31.5752066Z - onnx_kwargs: 2023-07-07T20:05:31.5752368Z - diagnostic_context: 2023-07-07T20:05:31.5752540Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5752792Z [2023-07-07 20:00:29,057] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_34]. 2023-07-07T20:05:31.5752924Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5753110Z [2023-07-07 20:00:29,057] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5753185Z ### Exception log 2023-07-07T20:05:31.5753245Z ``` 2023-07-07T20:05:31.5753341Z Traceback (most recent call last): 2023-07-07T20:05:31.5753347Z 2023-07-07T20:05:31.5753681Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5753767Z torch.testing.assert_close( 2023-07-07T20:05:31.5753773Z 2023-07-07T20:05:31.5754060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5754154Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5754159Z 2023-07-07T20:05:31.5754317Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5754323Z 2023-07-07T20:05:31.5754414Z Mismatched elements: 27 / 48 (56.2%) 2023-07-07T20:05:31.5754550Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5754764Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5754770Z 2023-07-07T20:05:31.5754830Z ``` 2023-07-07T20:05:31.5754939Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5755248Z - diagnostic_context: 2023-07-07T20:05:31.5755431Z - node: fx.Node(sqrt_34[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5755577Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5755733Z - torch_args: 2023-07-07T20:05:31.5755856Z - torch_kwargs: 2023-07-07T20:05:31.5755986Z - Return value: 2023-07-07T20:05:31.5756246Z [2023-07-07 20:00:29,061] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_34]. 2023-07-07T20:05:31.5756375Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5756381Z 2023-07-07T20:05:31.5756577Z [2023-07-07 20:00:29,061] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5756777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5756783Z 2023-07-07T20:05:31.5757003Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5757275Z - self: 2023-07-07T20:05:31.5757498Z - node: fx.Node(tensor_int_34[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5757613Z - aten_name: 2023-07-07T20:05:31.5757774Z - function_overloads: 2023-07-07T20:05:31.5757876Z - onnx_args: 2023-07-07T20:05:31.5757991Z - onnx_kwargs: 2023-07-07T20:05:31.5758295Z - diagnostic_context: 2023-07-07T20:05:31.5758456Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5758730Z [2023-07-07 20:00:29,073] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_272]. 2023-07-07T20:05:31.5758871Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5758876Z 2023-07-07T20:05:31.5759076Z [2023-07-07 20:00:29,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5759278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5759286Z 2023-07-07T20:05:31.5759470Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5759728Z - self: 2023-07-07T20:05:31.5759936Z - node: fx.Node(unsqueeze_272[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5760053Z - aten_name: 2023-07-07T20:05:31.5760183Z - function_overloads: 2023-07-07T20:05:31.5760300Z - onnx_args: 2023-07-07T20:05:31.5760418Z - onnx_kwargs: 2023-07-07T20:05:31.5760721Z - diagnostic_context: 2023-07-07T20:05:31.5760867Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5761147Z [2023-07-07 20:00:29,076] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_273]. 2023-07-07T20:05:31.5761289Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5761297Z 2023-07-07T20:05:31.5761494Z [2023-07-07 20:00:29,076] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5761698Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5761704Z 2023-07-07T20:05:31.5761887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5762152Z - self: 2023-07-07T20:05:31.5762359Z - node: fx.Node(unsqueeze_273[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5762473Z - aten_name: 2023-07-07T20:05:31.5762591Z - function_overloads: 2023-07-07T20:05:31.5762709Z - onnx_args: 2023-07-07T20:05:31.5762826Z - onnx_kwargs: 2023-07-07T20:05:31.5763126Z - diagnostic_context: 2023-07-07T20:05:31.5763318Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5763597Z [2023-07-07 20:00:29,079] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_274]. 2023-07-07T20:05:31.5763740Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5763746Z 2023-07-07T20:05:31.5763941Z [2023-07-07 20:00:29,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5764130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5764136Z 2023-07-07T20:05:31.5764316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5764807Z - self: 2023-07-07T20:05:31.5765024Z - node: fx.Node(unsqueeze_274[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5765175Z - aten_name: 2023-07-07T20:05:31.5765311Z - function_overloads: 2023-07-07T20:05:31.5765427Z - onnx_args: 2023-07-07T20:05:31.5765579Z - onnx_kwargs: 2023-07-07T20:05:31.5765870Z - diagnostic_context: 2023-07-07T20:05:31.5766027Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5766306Z [2023-07-07 20:00:29,082] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_275]. 2023-07-07T20:05:31.5766448Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5766455Z 2023-07-07T20:05:31.5766651Z [2023-07-07 20:00:29,082] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5766857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5766863Z 2023-07-07T20:05:31.5767047Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5767321Z - self: 2023-07-07T20:05:31.5767529Z - node: fx.Node(unsqueeze_275[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5767630Z - aten_name: 2023-07-07T20:05:31.5767760Z - function_overloads: 2023-07-07T20:05:31.5767875Z - onnx_args: 2023-07-07T20:05:31.5767991Z - onnx_kwargs: 2023-07-07T20:05:31.5768292Z - diagnostic_context: 2023-07-07T20:05:31.5768448Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5768729Z [2023-07-07 20:00:29,093] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_276]. 2023-07-07T20:05:31.5768857Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5768863Z 2023-07-07T20:05:31.5769065Z [2023-07-07 20:00:29,093] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5769268Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5769275Z 2023-07-07T20:05:31.5769457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5769725Z - self: 2023-07-07T20:05:31.5769928Z - node: fx.Node(unsqueeze_276[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5770041Z - aten_name: 2023-07-07T20:05:31.5770174Z - function_overloads: 2023-07-07T20:05:31.5770276Z - onnx_args: 2023-07-07T20:05:31.5770393Z - onnx_kwargs: 2023-07-07T20:05:31.5770695Z - diagnostic_context: 2023-07-07T20:05:31.5770852Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5771177Z [2023-07-07 20:00:29,095] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_277]. 2023-07-07T20:05:31.5771320Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5771328Z 2023-07-07T20:05:31.5771524Z [2023-07-07 20:00:29,096] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5771727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5771732Z 2023-07-07T20:05:31.5771912Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5772166Z - self: 2023-07-07T20:05:31.5772407Z - node: fx.Node(unsqueeze_277[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5772521Z - aten_name: 2023-07-07T20:05:31.5772653Z - function_overloads: 2023-07-07T20:05:31.5772804Z - onnx_args: 2023-07-07T20:05:31.5772922Z - onnx_kwargs: 2023-07-07T20:05:31.5773224Z - diagnostic_context: 2023-07-07T20:05:31.5773399Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5773677Z [2023-07-07 20:00:29,103] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_278]. 2023-07-07T20:05:31.5773818Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5773824Z 2023-07-07T20:05:31.5774021Z [2023-07-07 20:00:29,103] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5774223Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5774231Z 2023-07-07T20:05:31.5774412Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5774682Z - self: 2023-07-07T20:05:31.5774888Z - node: fx.Node(unsqueeze_278[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5775001Z - aten_name: 2023-07-07T20:05:31.5775120Z - function_overloads: 2023-07-07T20:05:31.5775235Z - onnx_args: 2023-07-07T20:05:31.5775351Z - onnx_kwargs: 2023-07-07T20:05:31.5775652Z - diagnostic_context: 2023-07-07T20:05:31.5775810Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5776086Z [2023-07-07 20:00:29,105] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_279]. 2023-07-07T20:05:31.5776232Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5776238Z 2023-07-07T20:05:31.5776434Z [2023-07-07 20:00:29,105] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5776626Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5776644Z 2023-07-07T20:05:31.5776815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5777083Z - self: 2023-07-07T20:05:31.5777288Z - node: fx.Node(unsqueeze_279[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5777402Z - aten_name: 2023-07-07T20:05:31.5777534Z - function_overloads: 2023-07-07T20:05:31.5777647Z - onnx_args: 2023-07-07T20:05:31.5777763Z - onnx_kwargs: 2023-07-07T20:05:31.5778052Z - diagnostic_context: 2023-07-07T20:05:31.5778208Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5778452Z [2023-07-07 20:00:29,122] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_9]. 2023-07-07T20:05:31.5778660Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5778667Z 2023-07-07T20:05:31.5778864Z [2023-07-07 20:00:29,122] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5779065Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5779071Z 2023-07-07T20:05:31.5779254Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5779521Z - self: 2023-07-07T20:05:31.5779694Z - node: fx.Node(cat_9[call_function]'aten.cat.default') 2023-07-07T20:05:31.5779794Z - aten_name: 2023-07-07T20:05:31.5779967Z - function_overloads: 2023-07-07T20:05:31.5780084Z - onnx_args: 2023-07-07T20:05:31.5780200Z - onnx_kwargs: 2023-07-07T20:05:31.5780536Z - diagnostic_context: 2023-07-07T20:05:31.5780680Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.5780972Z [2023-07-07 20:00:29,130] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_9]. 2023-07-07T20:05:31.5781103Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5781122Z 2023-07-07T20:05:31.5781304Z [2023-07-07 20:00:29,130] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5781505Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5781510Z 2023-07-07T20:05:31.5781690Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5781958Z - self: 2023-07-07T20:05:31.5782154Z - node: fx.Node(transpose_9[call_function]'aten.transpose.int') 2023-07-07T20:05:31.5782268Z - aten_name: 2023-07-07T20:05:31.5782400Z - function_overloads: 2023-07-07T20:05:31.5782515Z - onnx_args: 2023-07-07T20:05:31.5782620Z - onnx_kwargs: 2023-07-07T20:05:31.5782925Z - diagnostic_context: 2023-07-07T20:05:31.5783137Z - Return value: 2023-07-07T20:05:31.5783422Z [2023-07-07 20:00:29,133] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_9]. 2023-07-07T20:05:31.5783627Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5783635Z 2023-07-07T20:05:31.5783933Z [2023-07-07 20:00:29,133] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5784237Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5784245Z 2023-07-07T20:05:31.5784527Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5784915Z - self: 2023-07-07T20:05:31.5785197Z - node: fx.Node(clone_9[call_function]'aten.clone.default') 2023-07-07T20:05:31.5785370Z - aten_name: 2023-07-07T20:05:31.5785568Z - function_overloads: 2023-07-07T20:05:31.5785740Z - onnx_args: 2023-07-07T20:05:31.5785917Z - onnx_kwargs: 2023-07-07T20:05:31.5786378Z - diagnostic_context: 2023-07-07T20:05:31.5786599Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.5786977Z [2023-07-07 20:00:29,141] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_8]. 2023-07-07T20:05:31.5787178Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5787187Z 2023-07-07T20:05:31.5787488Z [2023-07-07 20:00:29,141] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5787829Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5787841Z 2023-07-07T20:05:31.5788118Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5788527Z - self: 2023-07-07T20:05:31.5788804Z - node: fx.Node(split_8[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.5788972Z - aten_name: 2023-07-07T20:05:31.5789161Z - function_overloads: 2023-07-07T20:05:31.5789339Z - onnx_args: 2023-07-07T20:05:31.5789512Z - onnx_kwargs: 2023-07-07T20:05:31.5790006Z - diagnostic_context: 2023-07-07T20:05:31.5790236Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.5790699Z [2023-07-07 20:00:29,144] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_18]. 2023-07-07T20:05:31.5790901Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5790944Z 2023-07-07T20:05:31.5791248Z [2023-07-07 20:00:29,144] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5791539Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5791559Z 2023-07-07T20:05:31.5791822Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5792229Z - self: 2023-07-07T20:05:31.5792539Z - node: fx.Node(getitem_18[call_function]'') 2023-07-07T20:05:31.5792708Z - aten_name: 2023-07-07T20:05:31.5792905Z - function_overloads: 2023-07-07T20:05:31.5793083Z - onnx_args: 2023-07-07T20:05:31.5793263Z - onnx_kwargs: 2023-07-07T20:05:31.5793713Z - diagnostic_context: 2023-07-07T20:05:31.5793943Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5794360Z [2023-07-07 20:00:29,146] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_19]. 2023-07-07T20:05:31.5794571Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5794579Z 2023-07-07T20:05:31.5794970Z [2023-07-07 20:00:29,146] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5795276Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5795286Z 2023-07-07T20:05:31.5795564Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5795970Z - self: 2023-07-07T20:05:31.5796285Z - node: fx.Node(getitem_19[call_function]'') 2023-07-07T20:05:31.5796446Z - aten_name: 2023-07-07T20:05:31.5796652Z - function_overloads: 2023-07-07T20:05:31.5796832Z - onnx_args: 2023-07-07T20:05:31.5797010Z - onnx_kwargs: 2023-07-07T20:05:31.5797467Z - diagnostic_context: 2023-07-07T20:05:31.5797700Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5798135Z [2023-07-07 20:00:29,148] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_35]. 2023-07-07T20:05:31.5798338Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5798364Z 2023-07-07T20:05:31.5798645Z [2023-07-07 20:00:29,149] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5799009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5799021Z 2023-07-07T20:05:31.5799294Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5799621Z - self: 2023-07-07T20:05:31.5799838Z - node: fx.Node(convolution_35[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5799951Z - aten_name: 2023-07-07T20:05:31.5800082Z - function_overloads: 2023-07-07T20:05:31.5800197Z - onnx_args: 2023-07-07T20:05:31.5800300Z - onnx_kwargs: 2023-07-07T20:05:31.5800606Z - diagnostic_context: 2023-07-07T20:05:31.5800850Z - Return value: 2023-07-07T20:05:31.5801137Z [2023-07-07 20:00:29,154] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_35]. 2023-07-07T20:05:31.5801328Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5801529Z [2023-07-07 20:00:29,154] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5801642Z ### Exception log 2023-07-07T20:05:31.5801691Z ``` 2023-07-07T20:05:31.5801786Z Traceback (most recent call last): 2023-07-07T20:05:31.5801792Z 2023-07-07T20:05:31.5802125Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5802248Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5802254Z 2023-07-07T20:05:31.5802517Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5802610Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5802616Z 2023-07-07T20:05:31.5802934Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5803033Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5803038Z 2023-07-07T20:05:31.5803298Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5803435Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5803441Z 2023-07-07T20:05:31.5803703Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5803839Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5803844Z 2023-07-07T20:05:31.5804173Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5804252Z result = op.Conv( 2023-07-07T20:05:31.5804258Z 2023-07-07T20:05:31.5804661Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5804738Z return op( 2023-07-07T20:05:31.5804744Z 2023-07-07T20:05:31.5805043Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5805239Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5805248Z 2023-07-07T20:05:31.5805631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5805765Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5805771Z 2023-07-07T20:05:31.5806021Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5806148Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5806153Z 2023-07-07T20:05:31.5806422Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5806688Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5806694Z 2023-07-07T20:05:31.5806953Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5807047Z node.attribute.extend( 2023-07-07T20:05:31.5807052Z 2023-07-07T20:05:31.5807305Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5807393Z make_attribute(key, value) 2023-07-07T20:05:31.5807399Z 2023-07-07T20:05:31.5807660Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5807725Z raise ValueError( 2023-07-07T20:05:31.5807744Z 2023-07-07T20:05:31.5807940Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5807947Z 2023-07-07T20:05:31.5808010Z ``` 2023-07-07T20:05:31.5808169Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5808479Z - diagnostic_context: 2023-07-07T20:05:31.5808743Z - node: fx.Node(convolution_35[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5808956Z - symbolic_fn: 2023-07-07T20:05:31.5809073Z - torch_args: 2023-07-07T20:05:31.5809180Z - torch_kwargs: 2023-07-07T20:05:31.5809310Z - Return value: 2023-07-07T20:05:31.5809622Z [2023-07-07 20:00:29,159] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_70]. 2023-07-07T20:05:31.5809779Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5809787Z 2023-07-07T20:05:31.5809986Z [2023-07-07 20:00:29,159] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5810192Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5810200Z 2023-07-07T20:05:31.5810384Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5810654Z - self: 2023-07-07T20:05:31.5810898Z - node: fx.Node(convert_element_type_70[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5810999Z - aten_name: 2023-07-07T20:05:31.5811133Z - function_overloads: 2023-07-07T20:05:31.5811250Z - onnx_args: 2023-07-07T20:05:31.5811366Z - onnx_kwargs: 2023-07-07T20:05:31.5811673Z - diagnostic_context: 2023-07-07T20:05:31.5811853Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5812161Z [2023-07-07 20:00:29,162] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_71]. 2023-07-07T20:05:31.5812323Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5812330Z 2023-07-07T20:05:31.5812512Z [2023-07-07 20:00:29,162] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5812717Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5812723Z 2023-07-07T20:05:31.5812908Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5813177Z - self: 2023-07-07T20:05:31.5813419Z - node: fx.Node(convert_element_type_71[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5813533Z - aten_name: 2023-07-07T20:05:31.5813665Z - function_overloads: 2023-07-07T20:05:31.5813780Z - onnx_args: 2023-07-07T20:05:31.5813887Z - onnx_kwargs: 2023-07-07T20:05:31.5814224Z - diagnostic_context: 2023-07-07T20:05:31.5814409Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5814660Z [2023-07-07 20:00:29,170] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_35]. 2023-07-07T20:05:31.5814792Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5814978Z [2023-07-07 20:00:29,171] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5815053Z ### Exception log 2023-07-07T20:05:31.5815129Z ``` 2023-07-07T20:05:31.5815214Z Traceback (most recent call last): 2023-07-07T20:05:31.5815219Z 2023-07-07T20:05:31.5815579Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5815675Z torch.testing.assert_close( 2023-07-07T20:05:31.5815717Z 2023-07-07T20:05:31.5816005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5816126Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5816131Z 2023-07-07T20:05:31.5816287Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5816293Z 2023-07-07T20:05:31.5816385Z Mismatched elements: 30 / 48 (62.5%) 2023-07-07T20:05:31.5816521Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5816657Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5816663Z 2023-07-07T20:05:31.5816710Z ``` 2023-07-07T20:05:31.5816830Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5817140Z - diagnostic_context: 2023-07-07T20:05:31.5817322Z - node: fx.Node(sqrt_35[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5817466Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5817586Z - torch_args: 2023-07-07T20:05:31.5817705Z - torch_kwargs: 2023-07-07T20:05:31.5817821Z - Return value: 2023-07-07T20:05:31.5818084Z [2023-07-07 20:00:29,174] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_35]. 2023-07-07T20:05:31.5818228Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5818233Z 2023-07-07T20:05:31.5818430Z [2023-07-07 20:00:29,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5818631Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5818637Z 2023-07-07T20:05:31.5818823Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5819091Z - self: 2023-07-07T20:05:31.5819280Z - node: fx.Node(tensor_int_35[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5819395Z - aten_name: 2023-07-07T20:05:31.5819515Z - function_overloads: 2023-07-07T20:05:31.5819632Z - onnx_args: 2023-07-07T20:05:31.5819748Z - onnx_kwargs: 2023-07-07T20:05:31.5820049Z - diagnostic_context: 2023-07-07T20:05:31.5820210Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5820487Z [2023-07-07 20:00:29,187] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_280]. 2023-07-07T20:05:31.5820629Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5820635Z 2023-07-07T20:05:31.5820832Z [2023-07-07 20:00:29,187] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5821020Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5821027Z 2023-07-07T20:05:31.5821239Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5821511Z - self: 2023-07-07T20:05:31.5821717Z - node: fx.Node(unsqueeze_280[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5821831Z - aten_name: 2023-07-07T20:05:31.5821963Z - function_overloads: 2023-07-07T20:05:31.5822076Z - onnx_args: 2023-07-07T20:05:31.5822193Z - onnx_kwargs: 2023-07-07T20:05:31.5822481Z - diagnostic_context: 2023-07-07T20:05:31.5822637Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5822949Z [2023-07-07 20:00:29,190] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_281]. 2023-07-07T20:05:31.5823091Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5823124Z 2023-07-07T20:05:31.5823323Z [2023-07-07 20:00:29,190] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5823555Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5823560Z 2023-07-07T20:05:31.5823742Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5824006Z - self: 2023-07-07T20:05:31.5824198Z - node: fx.Node(unsqueeze_281[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5824313Z - aten_name: 2023-07-07T20:05:31.5824445Z - function_overloads: 2023-07-07T20:05:31.5824561Z - onnx_args: 2023-07-07T20:05:31.5824678Z - onnx_kwargs: 2023-07-07T20:05:31.5824984Z - diagnostic_context: 2023-07-07T20:05:31.5825143Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5825421Z [2023-07-07 20:00:29,193] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_282]. 2023-07-07T20:05:31.5825551Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5825556Z 2023-07-07T20:05:31.5825752Z [2023-07-07 20:00:29,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5825952Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5825958Z 2023-07-07T20:05:31.5826144Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5826414Z - self: 2023-07-07T20:05:31.5826618Z - node: fx.Node(unsqueeze_282[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5826733Z - aten_name: 2023-07-07T20:05:31.5826867Z - function_overloads: 2023-07-07T20:05:31.5826971Z - onnx_args: 2023-07-07T20:05:31.5827091Z - onnx_kwargs: 2023-07-07T20:05:31.5827395Z - diagnostic_context: 2023-07-07T20:05:31.5827551Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5827829Z [2023-07-07 20:00:29,195] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_283]. 2023-07-07T20:05:31.5827970Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5827976Z 2023-07-07T20:05:31.5828171Z [2023-07-07 20:00:29,195] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5828374Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5828379Z 2023-07-07T20:05:31.5828562Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5828850Z - self: 2023-07-07T20:05:31.5829058Z - node: fx.Node(unsqueeze_283[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5829173Z - aten_name: 2023-07-07T20:05:31.5829304Z - function_overloads: 2023-07-07T20:05:31.5829420Z - onnx_args: 2023-07-07T20:05:31.5829534Z - onnx_kwargs: 2023-07-07T20:05:31.5829837Z - diagnostic_context: 2023-07-07T20:05:31.5829982Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5830287Z [2023-07-07 20:00:29,206] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_284]. 2023-07-07T20:05:31.5830431Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5830437Z 2023-07-07T20:05:31.5830637Z [2023-07-07 20:00:29,207] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5830871Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5830905Z 2023-07-07T20:05:31.5831091Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5831358Z - self: 2023-07-07T20:05:31.5831565Z - node: fx.Node(unsqueeze_284[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5831678Z - aten_name: 2023-07-07T20:05:31.5831797Z - function_overloads: 2023-07-07T20:05:31.5831914Z - onnx_args: 2023-07-07T20:05:31.5832031Z - onnx_kwargs: 2023-07-07T20:05:31.5832335Z - diagnostic_context: 2023-07-07T20:05:31.5832492Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5832775Z [2023-07-07 20:00:29,209] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_285]. 2023-07-07T20:05:31.5832916Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5832925Z 2023-07-07T20:05:31.5833121Z [2023-07-07 20:00:29,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5833308Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5833325Z 2023-07-07T20:05:31.5833493Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5833762Z - self: 2023-07-07T20:05:31.5833969Z - node: fx.Node(unsqueeze_285[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5834082Z - aten_name: 2023-07-07T20:05:31.5834215Z - function_overloads: 2023-07-07T20:05:31.5834333Z - onnx_args: 2023-07-07T20:05:31.5834451Z - onnx_kwargs: 2023-07-07T20:05:31.5834830Z - diagnostic_context: 2023-07-07T20:05:31.5834994Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5835271Z [2023-07-07 20:00:29,216] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_286]. 2023-07-07T20:05:31.5835412Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5835417Z 2023-07-07T20:05:31.5835611Z [2023-07-07 20:00:29,216] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5835812Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5835818Z 2023-07-07T20:05:31.5836003Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5836273Z - self: 2023-07-07T20:05:31.5836520Z - node: fx.Node(unsqueeze_286[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5836624Z - aten_name: 2023-07-07T20:05:31.5836758Z - function_overloads: 2023-07-07T20:05:31.5836871Z - onnx_args: 2023-07-07T20:05:31.5836987Z - onnx_kwargs: 2023-07-07T20:05:31.5837292Z - diagnostic_context: 2023-07-07T20:05:31.5837450Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5837728Z [2023-07-07 20:00:29,219] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_287]. 2023-07-07T20:05:31.5837855Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5837914Z 2023-07-07T20:05:31.5838099Z [2023-07-07 20:00:29,219] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5838302Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5838338Z 2023-07-07T20:05:31.5838525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5838856Z - self: 2023-07-07T20:05:31.5839061Z - node: fx.Node(unsqueeze_287[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5839174Z - aten_name: 2023-07-07T20:05:31.5839306Z - function_overloads: 2023-07-07T20:05:31.5839421Z - onnx_args: 2023-07-07T20:05:31.5839526Z - onnx_kwargs: 2023-07-07T20:05:31.5839830Z - diagnostic_context: 2023-07-07T20:05:31.5839990Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5840276Z [2023-07-07 20:00:29,236] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_36]. 2023-07-07T20:05:31.5840427Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5840432Z 2023-07-07T20:05:31.5840627Z [2023-07-07 20:00:29,237] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5840831Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5840836Z 2023-07-07T20:05:31.5841017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5841269Z - self: 2023-07-07T20:05:31.5841487Z - node: fx.Node(convolution_36[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5841600Z - aten_name: 2023-07-07T20:05:31.5841735Z - function_overloads: 2023-07-07T20:05:31.5841851Z - onnx_args: 2023-07-07T20:05:31.5841969Z - onnx_kwargs: 2023-07-07T20:05:31.5842276Z - diagnostic_context: 2023-07-07T20:05:31.5842488Z - Return value: 2023-07-07T20:05:31.5842759Z [2023-07-07 20:00:29,242] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_36]. 2023-07-07T20:05:31.5842903Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5843101Z [2023-07-07 20:00:29,242] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5843179Z ### Exception log 2023-07-07T20:05:31.5843240Z ``` 2023-07-07T20:05:31.5843337Z Traceback (most recent call last): 2023-07-07T20:05:31.5843343Z 2023-07-07T20:05:31.5843677Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5843799Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5843805Z 2023-07-07T20:05:31.5844086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5844184Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5844192Z 2023-07-07T20:05:31.5844750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5844849Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5844855Z 2023-07-07T20:05:31.5845120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5845258Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5845264Z 2023-07-07T20:05:31.5845607Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5845746Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5845752Z 2023-07-07T20:05:31.5846126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5846205Z result = op.Conv( 2023-07-07T20:05:31.5846248Z 2023-07-07T20:05:31.5846522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5846593Z return op( 2023-07-07T20:05:31.5846598Z 2023-07-07T20:05:31.5846854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5846980Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5846986Z 2023-07-07T20:05:31.5847244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5847377Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5847383Z 2023-07-07T20:05:31.5847645Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5847774Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5847780Z 2023-07-07T20:05:31.5848049Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5848227Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5848232Z 2023-07-07T20:05:31.5848473Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5848565Z node.attribute.extend( 2023-07-07T20:05:31.5848571Z 2023-07-07T20:05:31.5848823Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5848913Z make_attribute(key, value) 2023-07-07T20:05:31.5848918Z 2023-07-07T20:05:31.5849179Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5849261Z raise ValueError( 2023-07-07T20:05:31.5849268Z 2023-07-07T20:05:31.5849443Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5849450Z 2023-07-07T20:05:31.5849512Z ``` 2023-07-07T20:05:31.5849632Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5849927Z - diagnostic_context: 2023-07-07T20:05:31.5850143Z - node: fx.Node(convolution_36[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5850354Z - symbolic_fn: 2023-07-07T20:05:31.5850471Z - torch_args: 2023-07-07T20:05:31.5850592Z - torch_kwargs: 2023-07-07T20:05:31.5850723Z - Return value: 2023-07-07T20:05:31.5851038Z [2023-07-07 20:00:29,247] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_72]. 2023-07-07T20:05:31.5851226Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5851244Z 2023-07-07T20:05:31.5851432Z [2023-07-07 20:00:29,247] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5851638Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5851644Z 2023-07-07T20:05:31.5851826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5852093Z - self: 2023-07-07T20:05:31.5852334Z - node: fx.Node(convert_element_type_72[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5852448Z - aten_name: 2023-07-07T20:05:31.5852611Z - function_overloads: 2023-07-07T20:05:31.5852728Z - onnx_args: 2023-07-07T20:05:31.5852832Z - onnx_kwargs: 2023-07-07T20:05:31.5853170Z - diagnostic_context: 2023-07-07T20:05:31.5853353Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5853691Z [2023-07-07 20:00:29,250] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_73]. 2023-07-07T20:05:31.5853851Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5853857Z 2023-07-07T20:05:31.5854053Z [2023-07-07 20:00:29,250] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5854255Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5854261Z 2023-07-07T20:05:31.5854445Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5854712Z - self: 2023-07-07T20:05:31.5854945Z - node: fx.Node(convert_element_type_73[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5855060Z - aten_name: 2023-07-07T20:05:31.5855193Z - function_overloads: 2023-07-07T20:05:31.5855307Z - onnx_args: 2023-07-07T20:05:31.5855423Z - onnx_kwargs: 2023-07-07T20:05:31.5855726Z - diagnostic_context: 2023-07-07T20:05:31.5855907Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5856147Z [2023-07-07 20:00:29,259] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_36]. 2023-07-07T20:05:31.5856278Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5856468Z [2023-07-07 20:00:29,259] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5856542Z ### Exception log 2023-07-07T20:05:31.5856604Z ``` 2023-07-07T20:05:31.5856699Z Traceback (most recent call last): 2023-07-07T20:05:31.5856707Z 2023-07-07T20:05:31.5857039Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5857135Z torch.testing.assert_close( 2023-07-07T20:05:31.5857140Z 2023-07-07T20:05:31.5857411Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5857503Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5857508Z 2023-07-07T20:05:31.5857665Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5857670Z 2023-07-07T20:05:31.5857762Z Mismatched elements: 26 / 48 (54.2%) 2023-07-07T20:05:31.5857898Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5858037Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5858042Z 2023-07-07T20:05:31.5858102Z ``` 2023-07-07T20:05:31.5858226Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5858563Z - diagnostic_context: 2023-07-07T20:05:31.5858736Z - node: fx.Node(sqrt_36[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5858880Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5858999Z - torch_args: 2023-07-07T20:05:31.5859119Z - torch_kwargs: 2023-07-07T20:05:31.5859247Z - Return value: 2023-07-07T20:05:31.5859504Z [2023-07-07 20:00:29,263] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_36]. 2023-07-07T20:05:31.5859645Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5859651Z 2023-07-07T20:05:31.5859866Z [2023-07-07 20:00:29,263] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5860072Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5860107Z 2023-07-07T20:05:31.5860295Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5860563Z - self: 2023-07-07T20:05:31.5860789Z - node: fx.Node(tensor_int_36[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5860903Z - aten_name: 2023-07-07T20:05:31.5861036Z - function_overloads: 2023-07-07T20:05:31.5861149Z - onnx_args: 2023-07-07T20:05:31.5861252Z - onnx_kwargs: 2023-07-07T20:05:31.5861557Z - diagnostic_context: 2023-07-07T20:05:31.5861715Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5861996Z [2023-07-07 20:00:29,275] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_288]. 2023-07-07T20:05:31.5862137Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5862144Z 2023-07-07T20:05:31.5862343Z [2023-07-07 20:00:29,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5862546Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5862554Z 2023-07-07T20:05:31.5862737Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5863007Z - self: 2023-07-07T20:05:31.5863199Z - node: fx.Node(unsqueeze_288[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5863313Z - aten_name: 2023-07-07T20:05:31.5863446Z - function_overloads: 2023-07-07T20:05:31.5863563Z - onnx_args: 2023-07-07T20:05:31.5863679Z - onnx_kwargs: 2023-07-07T20:05:31.5863981Z - diagnostic_context: 2023-07-07T20:05:31.5864143Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5864419Z [2023-07-07 20:00:29,278] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_289]. 2023-07-07T20:05:31.5864550Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5864556Z 2023-07-07T20:05:31.5864751Z [2023-07-07 20:00:29,278] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5864951Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5864956Z 2023-07-07T20:05:31.5865137Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5865410Z - self: 2023-07-07T20:05:31.5865617Z - node: fx.Node(unsqueeze_289[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5865730Z - aten_name: 2023-07-07T20:05:31.5865862Z - function_overloads: 2023-07-07T20:05:31.5866001Z - onnx_args: 2023-07-07T20:05:31.5866119Z - onnx_kwargs: 2023-07-07T20:05:31.5866424Z - diagnostic_context: 2023-07-07T20:05:31.5866581Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5866861Z [2023-07-07 20:00:29,281] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_290]. 2023-07-07T20:05:31.5867000Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5867005Z 2023-07-07T20:05:31.5867203Z [2023-07-07 20:00:29,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5867434Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5867441Z 2023-07-07T20:05:31.5867626Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5867912Z - self: 2023-07-07T20:05:31.5868119Z - node: fx.Node(unsqueeze_290[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5868259Z - aten_name: 2023-07-07T20:05:31.5868391Z - function_overloads: 2023-07-07T20:05:31.5868506Z - onnx_args: 2023-07-07T20:05:31.5868623Z - onnx_kwargs: 2023-07-07T20:05:31.5868926Z - diagnostic_context: 2023-07-07T20:05:31.5869069Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5869346Z [2023-07-07 20:00:29,284] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_291]. 2023-07-07T20:05:31.5869489Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5869494Z 2023-07-07T20:05:31.5869689Z [2023-07-07 20:00:29,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5869893Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5869901Z 2023-07-07T20:05:31.5870083Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5870348Z - self: 2023-07-07T20:05:31.5870553Z - node: fx.Node(unsqueeze_291[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5870666Z - aten_name: 2023-07-07T20:05:31.5870785Z - function_overloads: 2023-07-07T20:05:31.5870900Z - onnx_args: 2023-07-07T20:05:31.5871018Z - onnx_kwargs: 2023-07-07T20:05:31.5871322Z - diagnostic_context: 2023-07-07T20:05:31.5871479Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5871759Z [2023-07-07 20:00:29,294] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_292]. 2023-07-07T20:05:31.5871900Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5871907Z 2023-07-07T20:05:31.5872101Z [2023-07-07 20:00:29,294] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5872289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5872296Z 2023-07-07T20:05:31.5872478Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5872742Z - self: 2023-07-07T20:05:31.5872948Z - node: fx.Node(unsqueeze_292[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5873060Z - aten_name: 2023-07-07T20:05:31.5873191Z - function_overloads: 2023-07-07T20:05:31.5873306Z - onnx_args: 2023-07-07T20:05:31.5873424Z - onnx_kwargs: 2023-07-07T20:05:31.5873750Z - diagnostic_context: 2023-07-07T20:05:31.5873911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5874186Z [2023-07-07 20:00:29,297] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_293]. 2023-07-07T20:05:31.5874329Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5874335Z 2023-07-07T20:05:31.5874532Z [2023-07-07 20:00:29,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5874822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5874828Z 2023-07-07T20:05:31.5875049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5875324Z - self: 2023-07-07T20:05:31.5875564Z - node: fx.Node(unsqueeze_293[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5875665Z - aten_name: 2023-07-07T20:05:31.5875825Z - function_overloads: 2023-07-07T20:05:31.5875940Z - onnx_args: 2023-07-07T20:05:31.5876057Z - onnx_kwargs: 2023-07-07T20:05:31.5876361Z - diagnostic_context: 2023-07-07T20:05:31.5876517Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5876793Z [2023-07-07 20:00:29,304] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_294]. 2023-07-07T20:05:31.5876922Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5876940Z 2023-07-07T20:05:31.5877127Z [2023-07-07 20:00:29,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5877327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5877337Z 2023-07-07T20:05:31.5877519Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5877789Z - self: 2023-07-07T20:05:31.5877993Z - node: fx.Node(unsqueeze_294[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5878107Z - aten_name: 2023-07-07T20:05:31.5878238Z - function_overloads: 2023-07-07T20:05:31.5878351Z - onnx_args: 2023-07-07T20:05:31.5878455Z - onnx_kwargs: 2023-07-07T20:05:31.5878757Z - diagnostic_context: 2023-07-07T20:05:31.5878916Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5879193Z [2023-07-07 20:00:29,307] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_295]. 2023-07-07T20:05:31.5879338Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5879344Z 2023-07-07T20:05:31.5879538Z [2023-07-07 20:00:29,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5879742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5879748Z 2023-07-07T20:05:31.5879928Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5880251Z - self: 2023-07-07T20:05:31.5880565Z - node: fx.Node(unsqueeze_295[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5880733Z - aten_name: 2023-07-07T20:05:31.5880936Z - function_overloads: 2023-07-07T20:05:31.5881110Z - onnx_args: 2023-07-07T20:05:31.5881289Z - onnx_kwargs: 2023-07-07T20:05:31.5881745Z - diagnostic_context: 2023-07-07T20:05:31.5882027Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5882450Z [2023-07-07 20:00:29,315] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_37]. 2023-07-07T20:05:31.5882670Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5882678Z 2023-07-07T20:05:31.5882980Z [2023-07-07 20:00:29,315] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5883283Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5883291Z 2023-07-07T20:05:31.5883565Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5884006Z - self: 2023-07-07T20:05:31.5884335Z - node: fx.Node(convolution_37[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5884668Z - aten_name: 2023-07-07T20:05:31.5884855Z - function_overloads: 2023-07-07T20:05:31.5885034Z - onnx_args: 2023-07-07T20:05:31.5885271Z - onnx_kwargs: 2023-07-07T20:05:31.5885732Z - diagnostic_context: 2023-07-07T20:05:31.5886052Z - Return value: 2023-07-07T20:05:31.5886487Z [2023-07-07 20:00:29,321] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_37]. 2023-07-07T20:05:31.5886703Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5887007Z [2023-07-07 20:00:29,321] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5887105Z ### Exception log 2023-07-07T20:05:31.5887196Z ``` 2023-07-07T20:05:31.5887342Z Traceback (most recent call last): 2023-07-07T20:05:31.5887350Z 2023-07-07T20:05:31.5887867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5888047Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5888058Z 2023-07-07T20:05:31.5888457Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5888599Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5888607Z 2023-07-07T20:05:31.5889094Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5889235Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5889242Z 2023-07-07T20:05:31.5889631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5889836Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5889847Z 2023-07-07T20:05:31.5890274Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5890476Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5890488Z 2023-07-07T20:05:31.5890986Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5891103Z result = op.Conv( 2023-07-07T20:05:31.5891111Z 2023-07-07T20:05:31.5891543Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5891650Z return op( 2023-07-07T20:05:31.5891657Z 2023-07-07T20:05:31.5892057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5892231Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5892252Z 2023-07-07T20:05:31.5892678Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5892879Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5892889Z 2023-07-07T20:05:31.5893293Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5893478Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5893485Z 2023-07-07T20:05:31.5893899Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5894163Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5894170Z 2023-07-07T20:05:31.5894606Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5894744Z node.attribute.extend( 2023-07-07T20:05:31.5894752Z 2023-07-07T20:05:31.5895135Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5895296Z make_attribute(key, value) 2023-07-07T20:05:31.5895317Z 2023-07-07T20:05:31.5895732Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5895850Z raise ValueError( 2023-07-07T20:05:31.5895858Z 2023-07-07T20:05:31.5896116Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5896124Z 2023-07-07T20:05:31.5896217Z ``` 2023-07-07T20:05:31.5896400Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5896867Z - diagnostic_context: 2023-07-07T20:05:31.5897197Z - node: fx.Node(convolution_37[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5897513Z - symbolic_fn: 2023-07-07T20:05:31.5897679Z - torch_args: 2023-07-07T20:05:31.5897865Z - torch_kwargs: 2023-07-07T20:05:31.5898065Z - Return value: 2023-07-07T20:05:31.5898544Z [2023-07-07 20:00:29,325] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_74]. 2023-07-07T20:05:31.5898782Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5898790Z 2023-07-07T20:05:31.5899086Z [2023-07-07 20:00:29,325] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5899387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5899396Z 2023-07-07T20:05:31.5899671Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5900084Z - self: 2023-07-07T20:05:31.5900441Z - node: fx.Node(convert_element_type_74[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5900615Z - aten_name: 2023-07-07T20:05:31.5900817Z - function_overloads: 2023-07-07T20:05:31.5900995Z - onnx_args: 2023-07-07T20:05:31.5901173Z - onnx_kwargs: 2023-07-07T20:05:31.5901635Z - diagnostic_context: 2023-07-07T20:05:31.5901914Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5902372Z [2023-07-07 20:00:29,329] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_75]. 2023-07-07T20:05:31.5902611Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5902619Z 2023-07-07T20:05:31.5902922Z [2023-07-07 20:00:29,329] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5903225Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5903236Z 2023-07-07T20:05:31.5903558Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5903969Z - self: 2023-07-07T20:05:31.5904332Z - node: fx.Node(convert_element_type_75[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5904504Z - aten_name: 2023-07-07T20:05:31.5904707Z - function_overloads: 2023-07-07T20:05:31.5904867Z - onnx_args: 2023-07-07T20:05:31.5905044Z - onnx_kwargs: 2023-07-07T20:05:31.5905502Z - diagnostic_context: 2023-07-07T20:05:31.5905813Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5906198Z [2023-07-07 20:00:29,337] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_37]. 2023-07-07T20:05:31.5906470Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5906756Z [2023-07-07 20:00:29,337] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5906852Z ### Exception log 2023-07-07T20:05:31.5906979Z ``` 2023-07-07T20:05:31.5907118Z Traceback (most recent call last): 2023-07-07T20:05:31.5907127Z 2023-07-07T20:05:31.5907637Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5907782Z torch.testing.assert_close( 2023-07-07T20:05:31.5907790Z 2023-07-07T20:05:31.5908222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5908362Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5908374Z 2023-07-07T20:05:31.5908612Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5908619Z 2023-07-07T20:05:31.5908758Z Mismatched elements: 21 / 48 (43.8%) 2023-07-07T20:05:31.5908950Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5909154Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5909164Z 2023-07-07T20:05:31.5909255Z ``` 2023-07-07T20:05:31.5909437Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5909905Z - diagnostic_context: 2023-07-07T20:05:31.5910180Z - node: fx.Node(sqrt_37[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5910396Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5910572Z - torch_args: 2023-07-07T20:05:31.5910739Z - torch_kwargs: 2023-07-07T20:05:31.5910930Z - Return value: 2023-07-07T20:05:31.5911322Z [2023-07-07 20:00:29,341] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_37]. 2023-07-07T20:05:31.5911534Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5911545Z 2023-07-07T20:05:31.5911844Z [2023-07-07 20:00:29,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5912147Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5912157Z 2023-07-07T20:05:31.5912432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5912841Z - self: 2023-07-07T20:05:31.5913112Z - node: fx.Node(tensor_int_37[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5913284Z - aten_name: 2023-07-07T20:05:31.5913483Z - function_overloads: 2023-07-07T20:05:31.5913657Z - onnx_args: 2023-07-07T20:05:31.5913837Z - onnx_kwargs: 2023-07-07T20:05:31.5914298Z - diagnostic_context: 2023-07-07T20:05:31.5914541Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5915088Z [2023-07-07 20:00:29,353] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_296]. 2023-07-07T20:05:31.5915293Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5915301Z 2023-07-07T20:05:31.5915602Z [2023-07-07 20:00:29,353] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5915905Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5915914Z 2023-07-07T20:05:31.5916189Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5916635Z - self: 2023-07-07T20:05:31.5916951Z - node: fx.Node(unsqueeze_296[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5917124Z - aten_name: 2023-07-07T20:05:31.5917360Z - function_overloads: 2023-07-07T20:05:31.5917523Z - onnx_args: 2023-07-07T20:05:31.5917701Z - onnx_kwargs: 2023-07-07T20:05:31.5918187Z - diagnostic_context: 2023-07-07T20:05:31.5918411Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5918838Z [2023-07-07 20:00:29,356] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_297]. 2023-07-07T20:05:31.5918997Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5919004Z 2023-07-07T20:05:31.5919204Z [2023-07-07 20:00:29,356] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5919409Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5919416Z 2023-07-07T20:05:31.5919598Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5919860Z - self: 2023-07-07T20:05:31.5920069Z - node: fx.Node(unsqueeze_297[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5920184Z - aten_name: 2023-07-07T20:05:31.5920316Z - function_overloads: 2023-07-07T20:05:31.5920432Z - onnx_args: 2023-07-07T20:05:31.5920546Z - onnx_kwargs: 2023-07-07T20:05:31.5920848Z - diagnostic_context: 2023-07-07T20:05:31.5920991Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5921270Z [2023-07-07 20:00:29,359] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_298]. 2023-07-07T20:05:31.5921414Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5921420Z 2023-07-07T20:05:31.5921616Z [2023-07-07 20:00:29,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5921824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5921831Z 2023-07-07T20:05:31.5922012Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5922280Z - self: 2023-07-07T20:05:31.5922488Z - node: fx.Node(unsqueeze_298[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5922601Z - aten_name: 2023-07-07T20:05:31.5922720Z - function_overloads: 2023-07-07T20:05:31.5922833Z - onnx_args: 2023-07-07T20:05:31.5922951Z - onnx_kwargs: 2023-07-07T20:05:31.5923257Z - diagnostic_context: 2023-07-07T20:05:31.5923412Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5923739Z [2023-07-07 20:00:29,362] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_299]. 2023-07-07T20:05:31.5923884Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5923892Z 2023-07-07T20:05:31.5924085Z [2023-07-07 20:00:29,362] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5924274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5924280Z 2023-07-07T20:05:31.5924593Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5924871Z - self: 2023-07-07T20:05:31.5925077Z - node: fx.Node(unsqueeze_299[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5925248Z - aten_name: 2023-07-07T20:05:31.5925381Z - function_overloads: 2023-07-07T20:05:31.5925495Z - onnx_args: 2023-07-07T20:05:31.5925650Z - onnx_kwargs: 2023-07-07T20:05:31.5925948Z - diagnostic_context: 2023-07-07T20:05:31.5926155Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5926434Z [2023-07-07 20:00:29,373] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_300]. 2023-07-07T20:05:31.5926575Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5926581Z 2023-07-07T20:05:31.5926776Z [2023-07-07 20:00:29,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5926980Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5926986Z 2023-07-07T20:05:31.5927171Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5927436Z - self: 2023-07-07T20:05:31.5927644Z - node: fx.Node(unsqueeze_300[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5927746Z - aten_name: 2023-07-07T20:05:31.5927879Z - function_overloads: 2023-07-07T20:05:31.5927995Z - onnx_args: 2023-07-07T20:05:31.5928113Z - onnx_kwargs: 2023-07-07T20:05:31.5928414Z - diagnostic_context: 2023-07-07T20:05:31.5928570Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5928845Z [2023-07-07 20:00:29,376] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_301]. 2023-07-07T20:05:31.5928973Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5928979Z 2023-07-07T20:05:31.5929178Z [2023-07-07 20:00:29,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5929382Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5929392Z 2023-07-07T20:05:31.5929575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5929845Z - self: 2023-07-07T20:05:31.5930051Z - node: fx.Node(unsqueeze_301[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5930164Z - aten_name: 2023-07-07T20:05:31.5930295Z - function_overloads: 2023-07-07T20:05:31.5930398Z - onnx_args: 2023-07-07T20:05:31.5930513Z - onnx_kwargs: 2023-07-07T20:05:31.5930817Z - diagnostic_context: 2023-07-07T20:05:31.5930975Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5931254Z [2023-07-07 20:00:29,383] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_302]. 2023-07-07T20:05:31.5931399Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5931445Z 2023-07-07T20:05:31.5931643Z [2023-07-07 20:00:29,383] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5938962Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5938978Z 2023-07-07T20:05:31.5939220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5939527Z - self: 2023-07-07T20:05:31.5939741Z - node: fx.Node(unsqueeze_302[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5939844Z - aten_name: 2023-07-07T20:05:31.5940058Z - function_overloads: 2023-07-07T20:05:31.5940178Z - onnx_args: 2023-07-07T20:05:31.5940295Z - onnx_kwargs: 2023-07-07T20:05:31.5940602Z - diagnostic_context: 2023-07-07T20:05:31.5940801Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5941085Z [2023-07-07 20:00:29,386] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_303]. 2023-07-07T20:05:31.5941275Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5941282Z 2023-07-07T20:05:31.5941467Z [2023-07-07 20:00:29,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5941673Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5941679Z 2023-07-07T20:05:31.5941863Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5942133Z - self: 2023-07-07T20:05:31.5942340Z - node: fx.Node(unsqueeze_303[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5942456Z - aten_name: 2023-07-07T20:05:31.5942592Z - function_overloads: 2023-07-07T20:05:31.5942709Z - onnx_args: 2023-07-07T20:05:31.5942815Z - onnx_kwargs: 2023-07-07T20:05:31.5943120Z - diagnostic_context: 2023-07-07T20:05:31.5943279Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5943528Z [2023-07-07 20:00:29,402] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_10]. 2023-07-07T20:05:31.5943662Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5943668Z 2023-07-07T20:05:31.5943865Z [2023-07-07 20:00:29,402] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5944070Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5944076Z 2023-07-07T20:05:31.5944258Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5944531Z - self: 2023-07-07T20:05:31.5944696Z - node: fx.Node(cat_10[call_function]'aten.cat.default') 2023-07-07T20:05:31.5944808Z - aten_name: 2023-07-07T20:05:31.5944938Z - function_overloads: 2023-07-07T20:05:31.5945052Z - onnx_args: 2023-07-07T20:05:31.5945167Z - onnx_kwargs: 2023-07-07T20:05:31.5945470Z - diagnostic_context: 2023-07-07T20:05:31.5945610Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.5945866Z [2023-07-07 20:00:29,410] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_10]. 2023-07-07T20:05:31.5946010Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5946016Z 2023-07-07T20:05:31.5946213Z [2023-07-07 20:00:29,410] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5946455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5946463Z 2023-07-07T20:05:31.5946648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5946915Z - self: 2023-07-07T20:05:31.5947111Z - node: fx.Node(transpose_10[call_function]'aten.transpose.int') 2023-07-07T20:05:31.5947222Z - aten_name: 2023-07-07T20:05:31.5947353Z - function_overloads: 2023-07-07T20:05:31.5947457Z - onnx_args: 2023-07-07T20:05:31.5947571Z - onnx_kwargs: 2023-07-07T20:05:31.5947905Z - diagnostic_context: 2023-07-07T20:05:31.5948117Z - Return value: 2023-07-07T20:05:31.5948408Z [2023-07-07 20:00:29,414] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_10]. 2023-07-07T20:05:31.5948546Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5948581Z 2023-07-07T20:05:31.5948779Z [2023-07-07 20:00:29,414] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5948981Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5948987Z 2023-07-07T20:05:31.5949158Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5949423Z - self: 2023-07-07T20:05:31.5949608Z - node: fx.Node(clone_10[call_function]'aten.clone.default') 2023-07-07T20:05:31.5949720Z - aten_name: 2023-07-07T20:05:31.5949849Z - function_overloads: 2023-07-07T20:05:31.5949961Z - onnx_args: 2023-07-07T20:05:31.5950079Z - onnx_kwargs: 2023-07-07T20:05:31.5950374Z - diagnostic_context: 2023-07-07T20:05:31.5950522Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.5950776Z [2023-07-07 20:00:29,421] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_9]. 2023-07-07T20:05:31.5950913Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5950919Z 2023-07-07T20:05:31.5951114Z [2023-07-07 20:00:29,421] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5951313Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5951319Z 2023-07-07T20:05:31.5951502Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5951766Z - self: 2023-07-07T20:05:31.5951952Z - node: fx.Node(split_9[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.5952052Z - aten_name: 2023-07-07T20:05:31.5952186Z - function_overloads: 2023-07-07T20:05:31.5952299Z - onnx_args: 2023-07-07T20:05:31.5952414Z - onnx_kwargs: 2023-07-07T20:05:31.5952715Z - diagnostic_context: 2023-07-07T20:05:31.5952861Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.5953132Z [2023-07-07 20:00:29,425] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_20]. 2023-07-07T20:05:31.5953268Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5953274Z 2023-07-07T20:05:31.5953459Z [2023-07-07 20:00:29,425] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5953662Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5953670Z 2023-07-07T20:05:31.5953880Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5954149Z - self: 2023-07-07T20:05:31.5954350Z - node: fx.Node(getitem_20[call_function]'') 2023-07-07T20:05:31.5954462Z - aten_name: 2023-07-07T20:05:31.5954593Z - function_overloads: 2023-07-07T20:05:31.5954796Z - onnx_args: 2023-07-07T20:05:31.5954900Z - onnx_kwargs: 2023-07-07T20:05:31.5955202Z - diagnostic_context: 2023-07-07T20:05:31.5955390Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5955664Z [2023-07-07 20:00:29,426] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_21]. 2023-07-07T20:05:31.5955832Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5955840Z 2023-07-07T20:05:31.5956037Z [2023-07-07 20:00:29,426] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5956269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5956276Z 2023-07-07T20:05:31.5956459Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5956727Z - self: 2023-07-07T20:05:31.5956914Z - node: fx.Node(getitem_21[call_function]'') 2023-07-07T20:05:31.5957029Z - aten_name: 2023-07-07T20:05:31.5957159Z - function_overloads: 2023-07-07T20:05:31.5957275Z - onnx_args: 2023-07-07T20:05:31.5957391Z - onnx_kwargs: 2023-07-07T20:05:31.5957693Z - diagnostic_context: 2023-07-07T20:05:31.5957850Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.5958123Z [2023-07-07 20:00:29,429] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_38]. 2023-07-07T20:05:31.5958271Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5958277Z 2023-07-07T20:05:31.5958472Z [2023-07-07 20:00:29,429] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5958674Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5958680Z 2023-07-07T20:05:31.5958860Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5959127Z - self: 2023-07-07T20:05:31.5959343Z - node: fx.Node(convolution_38[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5959459Z - aten_name: 2023-07-07T20:05:31.5959592Z - function_overloads: 2023-07-07T20:05:31.5959695Z - onnx_args: 2023-07-07T20:05:31.5959812Z - onnx_kwargs: 2023-07-07T20:05:31.5960116Z - diagnostic_context: 2023-07-07T20:05:31.5960327Z - Return value: 2023-07-07T20:05:31.5960609Z [2023-07-07 20:00:29,434] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_38]. 2023-07-07T20:05:31.5960752Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5960952Z [2023-07-07 20:00:29,434] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.5961016Z ### Exception log 2023-07-07T20:05:31.5961075Z ``` 2023-07-07T20:05:31.5961174Z Traceback (most recent call last): 2023-07-07T20:05:31.5961180Z 2023-07-07T20:05:31.5961544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.5961669Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.5961677Z 2023-07-07T20:05:31.5961936Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.5962029Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.5962034Z 2023-07-07T20:05:31.5962348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.5962442Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.5962447Z 2023-07-07T20:05:31.5962741Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.5962879Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.5962884Z 2023-07-07T20:05:31.5963189Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.5963325Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.5963359Z 2023-07-07T20:05:31.5963685Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.5963762Z result = op.Conv( 2023-07-07T20:05:31.5963767Z 2023-07-07T20:05:31.5964052Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.5964121Z return op( 2023-07-07T20:05:31.5964127Z 2023-07-07T20:05:31.5964521Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.5964664Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.5964671Z 2023-07-07T20:05:31.5964924Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.5965060Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5965065Z 2023-07-07T20:05:31.5965328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.5965452Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.5965457Z 2023-07-07T20:05:31.5965725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.5965903Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.5965908Z 2023-07-07T20:05:31.5966165Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.5966258Z node.attribute.extend( 2023-07-07T20:05:31.5966264Z 2023-07-07T20:05:31.5966516Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.5966609Z make_attribute(key, value) 2023-07-07T20:05:31.5966614Z 2023-07-07T20:05:31.5966862Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.5966944Z raise ValueError( 2023-07-07T20:05:31.5966949Z 2023-07-07T20:05:31.5967120Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.5967126Z 2023-07-07T20:05:31.5967185Z ``` 2023-07-07T20:05:31.5967306Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5967610Z - diagnostic_context: 2023-07-07T20:05:31.5967829Z - node: fx.Node(convolution_38[call_function]'aten.convolution.default') 2023-07-07T20:05:31.5968039Z - symbolic_fn: 2023-07-07T20:05:31.5968157Z - torch_args: 2023-07-07T20:05:31.5968278Z - torch_kwargs: 2023-07-07T20:05:31.5968467Z - Return value: 2023-07-07T20:05:31.5968768Z [2023-07-07 20:00:29,439] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_76]. 2023-07-07T20:05:31.5968932Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5968937Z 2023-07-07T20:05:31.5969137Z [2023-07-07 20:00:29,439] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5969340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5969346Z 2023-07-07T20:05:31.5969528Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5969840Z - self: 2023-07-07T20:05:31.5970088Z - node: fx.Node(convert_element_type_76[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5970242Z - aten_name: 2023-07-07T20:05:31.5970375Z - function_overloads: 2023-07-07T20:05:31.5970479Z - onnx_args: 2023-07-07T20:05:31.5970633Z - onnx_kwargs: 2023-07-07T20:05:31.5970936Z - diagnostic_context: 2023-07-07T20:05:31.5971118Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5971428Z [2023-07-07 20:00:29,442] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_77]. 2023-07-07T20:05:31.5971590Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5971595Z 2023-07-07T20:05:31.5971793Z [2023-07-07 20:00:29,442] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5971993Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5972001Z 2023-07-07T20:05:31.5972175Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5972442Z - self: 2023-07-07T20:05:31.5972686Z - node: fx.Node(convert_element_type_77[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.5972799Z - aten_name: 2023-07-07T20:05:31.5972931Z - function_overloads: 2023-07-07T20:05:31.5973047Z - onnx_args: 2023-07-07T20:05:31.5973162Z - onnx_kwargs: 2023-07-07T20:05:31.5973466Z - diagnostic_context: 2023-07-07T20:05:31.5973638Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.5973891Z [2023-07-07 20:00:29,450] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_38]. 2023-07-07T20:05:31.5974044Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5974234Z [2023-07-07 20:00:29,450] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.5974309Z ### Exception log 2023-07-07T20:05:31.5974373Z ``` 2023-07-07T20:05:31.5974470Z Traceback (most recent call last): 2023-07-07T20:05:31.5974476Z 2023-07-07T20:05:31.5974791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.5974888Z torch.testing.assert_close( 2023-07-07T20:05:31.5974893Z 2023-07-07T20:05:31.5975176Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.5975268Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.5975274Z 2023-07-07T20:05:31.5975433Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.5975439Z 2023-07-07T20:05:31.5975531Z Mismatched elements: 28 / 48 (58.3%) 2023-07-07T20:05:31.5975667Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.5975837Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.5975843Z 2023-07-07T20:05:31.5975905Z ``` 2023-07-07T20:05:31.5976017Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.5976323Z - diagnostic_context: 2023-07-07T20:05:31.5976504Z - node: fx.Node(sqrt_38[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.5976650Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.5976768Z - torch_args: 2023-07-07T20:05:31.5976888Z - torch_kwargs: 2023-07-07T20:05:31.5977017Z - Return value: 2023-07-07T20:05:31.5977330Z [2023-07-07 20:00:29,454] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_38]. 2023-07-07T20:05:31.5977474Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5977507Z 2023-07-07T20:05:31.5977707Z [2023-07-07 20:00:29,454] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5977909Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5977942Z 2023-07-07T20:05:31.5978131Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5978401Z - self: 2023-07-07T20:05:31.5978588Z - node: fx.Node(tensor_int_38[call_function]'aten.tensor.int') 2023-07-07T20:05:31.5978701Z - aten_name: 2023-07-07T20:05:31.5978833Z - function_overloads: 2023-07-07T20:05:31.5978936Z - onnx_args: 2023-07-07T20:05:31.5979056Z - onnx_kwargs: 2023-07-07T20:05:31.5979359Z - diagnostic_context: 2023-07-07T20:05:31.5979517Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.5979799Z [2023-07-07 20:00:29,466] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_304]. 2023-07-07T20:05:31.5979943Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5979949Z 2023-07-07T20:05:31.5980146Z [2023-07-07 20:00:29,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5980349Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5980355Z 2023-07-07T20:05:31.5980538Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5980793Z - self: 2023-07-07T20:05:31.5981000Z - node: fx.Node(unsqueeze_304[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5981113Z - aten_name: 2023-07-07T20:05:31.5981244Z - function_overloads: 2023-07-07T20:05:31.5981361Z - onnx_args: 2023-07-07T20:05:31.5981481Z - onnx_kwargs: 2023-07-07T20:05:31.5981784Z - diagnostic_context: 2023-07-07T20:05:31.5981929Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5982206Z [2023-07-07 20:00:29,469] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_305]. 2023-07-07T20:05:31.5982345Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5982351Z 2023-07-07T20:05:31.5982546Z [2023-07-07 20:00:29,469] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5982748Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5982754Z 2023-07-07T20:05:31.5982934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5983232Z - self: 2023-07-07T20:05:31.5983441Z - node: fx.Node(unsqueeze_305[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5983556Z - aten_name: 2023-07-07T20:05:31.5983675Z - function_overloads: 2023-07-07T20:05:31.5983788Z - onnx_args: 2023-07-07T20:05:31.5983904Z - onnx_kwargs: 2023-07-07T20:05:31.5984205Z - diagnostic_context: 2023-07-07T20:05:31.5984361Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5984639Z [2023-07-07 20:00:29,473] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_306]. 2023-07-07T20:05:31.5984810Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5984816Z 2023-07-07T20:05:31.5985015Z [2023-07-07 20:00:29,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5985235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5985241Z 2023-07-07T20:05:31.5985461Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5985725Z - self: 2023-07-07T20:05:31.5985929Z - node: fx.Node(unsqueeze_306[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5986041Z - aten_name: 2023-07-07T20:05:31.5986172Z - function_overloads: 2023-07-07T20:05:31.5986286Z - onnx_args: 2023-07-07T20:05:31.5986400Z - onnx_kwargs: 2023-07-07T20:05:31.5986689Z - diagnostic_context: 2023-07-07T20:05:31.5986846Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5987122Z [2023-07-07 20:00:29,475] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_307]. 2023-07-07T20:05:31.5987266Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5987272Z 2023-07-07T20:05:31.5987470Z [2023-07-07 20:00:29,475] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5987670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5987676Z 2023-07-07T20:05:31.5987858Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5988123Z - self: 2023-07-07T20:05:31.5988316Z - node: fx.Node(unsqueeze_307[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5988429Z - aten_name: 2023-07-07T20:05:31.5988559Z - function_overloads: 2023-07-07T20:05:31.5988674Z - onnx_args: 2023-07-07T20:05:31.5988791Z - onnx_kwargs: 2023-07-07T20:05:31.5989094Z - diagnostic_context: 2023-07-07T20:05:31.5989249Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5989526Z [2023-07-07 20:00:29,486] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_308]. 2023-07-07T20:05:31.5989654Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5989660Z 2023-07-07T20:05:31.5989855Z [2023-07-07 20:00:29,486] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5990054Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5990060Z 2023-07-07T20:05:31.5990243Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5990509Z - self: 2023-07-07T20:05:31.5990744Z - node: fx.Node(unsqueeze_308[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5990857Z - aten_name: 2023-07-07T20:05:31.5990987Z - function_overloads: 2023-07-07T20:05:31.5991092Z - onnx_args: 2023-07-07T20:05:31.5991208Z - onnx_kwargs: 2023-07-07T20:05:31.5991511Z - diagnostic_context: 2023-07-07T20:05:31.5991666Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5991942Z [2023-07-07 20:00:29,489] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_309]. 2023-07-07T20:05:31.5992082Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5992088Z 2023-07-07T20:05:31.5992313Z [2023-07-07 20:00:29,489] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5992516Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5992549Z 2023-07-07T20:05:31.5992732Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5993015Z - self: 2023-07-07T20:05:31.5993292Z - node: fx.Node(unsqueeze_309[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5993465Z - aten_name: 2023-07-07T20:05:31.5993665Z - function_overloads: 2023-07-07T20:05:31.5993839Z - onnx_args: 2023-07-07T20:05:31.5994018Z - onnx_kwargs: 2023-07-07T20:05:31.5994475Z - diagnostic_context: 2023-07-07T20:05:31.5994780Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5995206Z [2023-07-07 20:00:29,496] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_310]. 2023-07-07T20:05:31.5995416Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5995427Z 2023-07-07T20:05:31.5995726Z [2023-07-07 20:00:29,496] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5996032Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5996041Z 2023-07-07T20:05:31.5996313Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.5996719Z - self: 2023-07-07T20:05:31.5997032Z - node: fx.Node(unsqueeze_310[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.5997204Z - aten_name: 2023-07-07T20:05:31.5997391Z - function_overloads: 2023-07-07T20:05:31.5997569Z - onnx_args: 2023-07-07T20:05:31.5997747Z - onnx_kwargs: 2023-07-07T20:05:31.5998213Z - diagnostic_context: 2023-07-07T20:05:31.5998459Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.5998882Z [2023-07-07 20:00:29,499] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_311]. 2023-07-07T20:05:31.5999096Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.5999105Z 2023-07-07T20:05:31.5999403Z [2023-07-07 20:00:29,499] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.5999694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.5999715Z 2023-07-07T20:05:31.5999977Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6000381Z - self: 2023-07-07T20:05:31.6000694Z - node: fx.Node(unsqueeze_311[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6000867Z - aten_name: 2023-07-07T20:05:31.6001111Z - function_overloads: 2023-07-07T20:05:31.6001289Z - onnx_args: 2023-07-07T20:05:31.6001468Z - onnx_kwargs: 2023-07-07T20:05:31.6001918Z - diagnostic_context: 2023-07-07T20:05:31.6002159Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6002589Z [2023-07-07 20:00:29,516] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_39]. 2023-07-07T20:05:31.6002807Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6002815Z 2023-07-07T20:05:31.6003113Z [2023-07-07 20:00:29,516] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6003451Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6003460Z 2023-07-07T20:05:31.6003736Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6004182Z - self: 2023-07-07T20:05:31.6004657Z - node: fx.Node(convolution_39[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6004819Z - aten_name: 2023-07-07T20:05:31.6005023Z - function_overloads: 2023-07-07T20:05:31.6005197Z - onnx_args: 2023-07-07T20:05:31.6005375Z - onnx_kwargs: 2023-07-07T20:05:31.6005832Z - diagnostic_context: 2023-07-07T20:05:31.6006148Z - Return value: 2023-07-07T20:05:31.6006590Z [2023-07-07 20:00:29,522] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_39]. 2023-07-07T20:05:31.6006789Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6007096Z [2023-07-07 20:00:29,522] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6007208Z ### Exception log 2023-07-07T20:05:31.6007300Z ``` 2023-07-07T20:05:31.6007441Z Traceback (most recent call last): 2023-07-07T20:05:31.6007452Z 2023-07-07T20:05:31.6007956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6008141Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6008149Z 2023-07-07T20:05:31.6008542Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6008682Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6008690Z 2023-07-07T20:05:31.6009164Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6009304Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6009315Z 2023-07-07T20:05:31.6009710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6009914Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6009925Z 2023-07-07T20:05:31.6010345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6010550Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6010558Z 2023-07-07T20:05:31.6011068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6011183Z result = op.Conv( 2023-07-07T20:05:31.6011191Z 2023-07-07T20:05:31.6011624Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6011720Z return op( 2023-07-07T20:05:31.6011742Z 2023-07-07T20:05:31.6012196Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6012390Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6012400Z 2023-07-07T20:05:31.6012800Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6012998Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6013006Z 2023-07-07T20:05:31.6013402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6013588Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6013596Z 2023-07-07T20:05:31.6014069Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6014337Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6014344Z 2023-07-07T20:05:31.6014786Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6014908Z node.attribute.extend( 2023-07-07T20:05:31.6014971Z 2023-07-07T20:05:31.6015343Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6015478Z make_attribute(key, value) 2023-07-07T20:05:31.6015485Z 2023-07-07T20:05:31.6015888Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6016006Z raise ValueError( 2023-07-07T20:05:31.6016013Z 2023-07-07T20:05:31.6016371Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6016379Z 2023-07-07T20:05:31.6016471Z ``` 2023-07-07T20:05:31.6016656Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6017180Z - diagnostic_context: 2023-07-07T20:05:31.6017664Z - node: fx.Node(convolution_39[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6018024Z - symbolic_fn: 2023-07-07T20:05:31.6018212Z - torch_args: 2023-07-07T20:05:31.6018394Z - torch_kwargs: 2023-07-07T20:05:31.6018587Z - Return value: 2023-07-07T20:05:31.6019071Z [2023-07-07 20:00:29,527] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_78]. 2023-07-07T20:05:31.6019317Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6019325Z 2023-07-07T20:05:31.6019649Z [2023-07-07 20:00:29,527] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6019960Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6019969Z 2023-07-07T20:05:31.6020235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6020645Z - self: 2023-07-07T20:05:31.6021017Z - node: fx.Node(convert_element_type_78[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6021188Z - aten_name: 2023-07-07T20:05:31.6021388Z - function_overloads: 2023-07-07T20:05:31.6021566Z - onnx_args: 2023-07-07T20:05:31.6021742Z - onnx_kwargs: 2023-07-07T20:05:31.6022190Z - diagnostic_context: 2023-07-07T20:05:31.6022469Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6022949Z [2023-07-07 20:00:29,530] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_79]. 2023-07-07T20:05:31.6023187Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6023198Z 2023-07-07T20:05:31.6023533Z [2023-07-07 20:00:29,530] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6023837Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6023848Z 2023-07-07T20:05:31.6024120Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6024529Z - self: 2023-07-07T20:05:31.6024895Z - node: fx.Node(convert_element_type_79[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6025069Z - aten_name: 2023-07-07T20:05:31.6025255Z - function_overloads: 2023-07-07T20:05:31.6025476Z - onnx_args: 2023-07-07T20:05:31.6025655Z - onnx_kwargs: 2023-07-07T20:05:31.6026118Z - diagnostic_context: 2023-07-07T20:05:31.6026437Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6026824Z [2023-07-07 20:00:29,538] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_39]. 2023-07-07T20:05:31.6027060Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6027331Z [2023-07-07 20:00:29,538] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6027445Z ### Exception log 2023-07-07T20:05:31.6027534Z ``` 2023-07-07T20:05:31.6027679Z Traceback (most recent call last): 2023-07-07T20:05:31.6027688Z 2023-07-07T20:05:31.6028197Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6028341Z torch.testing.assert_close( 2023-07-07T20:05:31.6028352Z 2023-07-07T20:05:31.6028787Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6028928Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6028936Z 2023-07-07T20:05:31.6029156Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6029179Z 2023-07-07T20:05:31.6029307Z Mismatched elements: 21 / 48 (43.8%) 2023-07-07T20:05:31.6029513Z Greatest absolute difference: nan at index (4,) (up to 0.001 allowed) 2023-07-07T20:05:31.6029720Z Greatest relative difference: nan at index (4,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6029728Z 2023-07-07T20:05:31.6029822Z ``` 2023-07-07T20:05:31.6030070Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6030530Z - diagnostic_context: 2023-07-07T20:05:31.6030837Z - node: fx.Node(sqrt_39[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6031042Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6031219Z - torch_args: 2023-07-07T20:05:31.6031397Z - torch_kwargs: 2023-07-07T20:05:31.6031605Z - Return value: 2023-07-07T20:05:31.6031996Z [2023-07-07 20:00:29,542] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_39]. 2023-07-07T20:05:31.6032191Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6032197Z 2023-07-07T20:05:31.6032402Z [2023-07-07 20:00:29,542] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6032607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6032612Z 2023-07-07T20:05:31.6032797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6033056Z - self: 2023-07-07T20:05:31.6033247Z - node: fx.Node(tensor_int_39[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6033362Z - aten_name: 2023-07-07T20:05:31.6033497Z - function_overloads: 2023-07-07T20:05:31.6033617Z - onnx_args: 2023-07-07T20:05:31.6033783Z - onnx_kwargs: 2023-07-07T20:05:31.6034088Z - diagnostic_context: 2023-07-07T20:05:31.6034236Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6034518Z [2023-07-07 20:00:29,554] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_312]. 2023-07-07T20:05:31.6034737Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6034744Z 2023-07-07T20:05:31.6034948Z [2023-07-07 20:00:29,554] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6035193Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6035200Z 2023-07-07T20:05:31.6035387Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6035692Z - self: 2023-07-07T20:05:31.6035903Z - node: fx.Node(unsqueeze_312[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6036051Z - aten_name: 2023-07-07T20:05:31.6036172Z - function_overloads: 2023-07-07T20:05:31.6036286Z - onnx_args: 2023-07-07T20:05:31.6036405Z - onnx_kwargs: 2023-07-07T20:05:31.6036712Z - diagnostic_context: 2023-07-07T20:05:31.6036869Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6037149Z [2023-07-07 20:00:29,557] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_313]. 2023-07-07T20:05:31.6037292Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6037298Z 2023-07-07T20:05:31.6037494Z [2023-07-07 20:00:29,557] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6037689Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6037695Z 2023-07-07T20:05:31.6037876Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6038146Z - self: 2023-07-07T20:05:31.6038352Z - node: fx.Node(unsqueeze_313[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6038464Z - aten_name: 2023-07-07T20:05:31.6038596Z - function_overloads: 2023-07-07T20:05:31.6038711Z - onnx_args: 2023-07-07T20:05:31.6038827Z - onnx_kwargs: 2023-07-07T20:05:31.6039121Z - diagnostic_context: 2023-07-07T20:05:31.6039276Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6039551Z [2023-07-07 20:00:29,560] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_314]. 2023-07-07T20:05:31.6039700Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6039705Z 2023-07-07T20:05:31.6039905Z [2023-07-07 20:00:29,560] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6040107Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6040113Z 2023-07-07T20:05:31.6040294Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6040562Z - self: 2023-07-07T20:05:31.6040764Z - node: fx.Node(unsqueeze_314[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6040867Z - aten_name: 2023-07-07T20:05:31.6040998Z - function_overloads: 2023-07-07T20:05:31.6041111Z - onnx_args: 2023-07-07T20:05:31.6041226Z - onnx_kwargs: 2023-07-07T20:05:31.6041560Z - diagnostic_context: 2023-07-07T20:05:31.6041717Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6041997Z [2023-07-07 20:00:29,563] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_315]. 2023-07-07T20:05:31.6042125Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6042131Z 2023-07-07T20:05:31.6042325Z [2023-07-07 20:00:29,563] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6042527Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6042533Z 2023-07-07T20:05:31.6042746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6043013Z - self: 2023-07-07T20:05:31.6043247Z - node: fx.Node(unsqueeze_315[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6043363Z - aten_name: 2023-07-07T20:05:31.6043494Z - function_overloads: 2023-07-07T20:05:31.6043624Z - onnx_args: 2023-07-07T20:05:31.6043738Z - onnx_kwargs: 2023-07-07T20:05:31.6044045Z - diagnostic_context: 2023-07-07T20:05:31.6044203Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6044640Z [2023-07-07 20:00:29,574] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_316]. 2023-07-07T20:05:31.6044791Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6044796Z 2023-07-07T20:05:31.6045006Z [2023-07-07 20:00:29,574] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6045213Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6045222Z 2023-07-07T20:05:31.6045408Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6045662Z - self: 2023-07-07T20:05:31.6045870Z - node: fx.Node(unsqueeze_316[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6045984Z - aten_name: 2023-07-07T20:05:31.6046117Z - function_overloads: 2023-07-07T20:05:31.6046232Z - onnx_args: 2023-07-07T20:05:31.6046349Z - onnx_kwargs: 2023-07-07T20:05:31.6046652Z - diagnostic_context: 2023-07-07T20:05:31.6046800Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6047079Z [2023-07-07 20:00:29,576] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_317]. 2023-07-07T20:05:31.6047220Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6047228Z 2023-07-07T20:05:31.6047424Z [2023-07-07 20:00:29,577] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6047627Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6047633Z 2023-07-07T20:05:31.6047812Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6048078Z - self: 2023-07-07T20:05:31.6048282Z - node: fx.Node(unsqueeze_317[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6048393Z - aten_name: 2023-07-07T20:05:31.6048512Z - function_overloads: 2023-07-07T20:05:31.6048626Z - onnx_args: 2023-07-07T20:05:31.6048742Z - onnx_kwargs: 2023-07-07T20:05:31.6049046Z - diagnostic_context: 2023-07-07T20:05:31.6049294Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6049577Z [2023-07-07 20:00:29,584] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_318]. 2023-07-07T20:05:31.6049725Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6049731Z 2023-07-07T20:05:31.6049928Z [2023-07-07 20:00:29,584] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6050118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6050137Z 2023-07-07T20:05:31.6050309Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6050612Z - self: 2023-07-07T20:05:31.6050821Z - node: fx.Node(unsqueeze_318[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6050935Z - aten_name: 2023-07-07T20:05:31.6051110Z - function_overloads: 2023-07-07T20:05:31.6051224Z - onnx_args: 2023-07-07T20:05:31.6051340Z - onnx_kwargs: 2023-07-07T20:05:31.6051682Z - diagnostic_context: 2023-07-07T20:05:31.6051840Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6052119Z [2023-07-07 20:00:29,587] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_319]. 2023-07-07T20:05:31.6052259Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6052264Z 2023-07-07T20:05:31.6052463Z [2023-07-07 20:00:29,587] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6052666Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6052672Z 2023-07-07T20:05:31.6052852Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6053123Z - self: 2023-07-07T20:05:31.6053330Z - node: fx.Node(unsqueeze_319[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6053432Z - aten_name: 2023-07-07T20:05:31.6053564Z - function_overloads: 2023-07-07T20:05:31.6053680Z - onnx_args: 2023-07-07T20:05:31.6053801Z - onnx_kwargs: 2023-07-07T20:05:31.6054106Z - diagnostic_context: 2023-07-07T20:05:31.6054262Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6054553Z [2023-07-07 20:00:29,594] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_40]. 2023-07-07T20:05:31.6054689Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6054709Z 2023-07-07T20:05:31.6054894Z [2023-07-07 20:00:29,594] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6055099Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6055107Z 2023-07-07T20:05:31.6055289Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6055556Z - self: 2023-07-07T20:05:31.6055773Z - node: fx.Node(convolution_40[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6055890Z - aten_name: 2023-07-07T20:05:31.6056021Z - function_overloads: 2023-07-07T20:05:31.6056135Z - onnx_args: 2023-07-07T20:05:31.6056240Z - onnx_kwargs: 2023-07-07T20:05:31.6056543Z - diagnostic_context: 2023-07-07T20:05:31.6056756Z - Return value: 2023-07-07T20:05:31.6057071Z [2023-07-07 20:00:29,600] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_40]. 2023-07-07T20:05:31.6057216Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6057419Z [2023-07-07 20:00:29,600] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6057495Z ### Exception log 2023-07-07T20:05:31.6057546Z ``` 2023-07-07T20:05:31.6057641Z Traceback (most recent call last): 2023-07-07T20:05:31.6057646Z 2023-07-07T20:05:31.6057980Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6058104Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6058109Z 2023-07-07T20:05:31.6058396Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6058492Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6058523Z 2023-07-07T20:05:31.6058841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6058963Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6058968Z 2023-07-07T20:05:31.6059232Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6059368Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6059373Z 2023-07-07T20:05:31.6059636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6059770Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6059775Z 2023-07-07T20:05:31.6060100Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6060178Z result = op.Conv( 2023-07-07T20:05:31.6060185Z 2023-07-07T20:05:31.6060471Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6060543Z return op( 2023-07-07T20:05:31.6060549Z 2023-07-07T20:05:31.6060804Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6060929Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6060934Z 2023-07-07T20:05:31.6061193Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6061321Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6061327Z 2023-07-07T20:05:31.6061576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6061699Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6061704Z 2023-07-07T20:05:31.6061977Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6062153Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6062161Z 2023-07-07T20:05:31.6062410Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6062504Z node.attribute.extend( 2023-07-07T20:05:31.6062509Z 2023-07-07T20:05:31.6062763Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6062850Z make_attribute(key, value) 2023-07-07T20:05:31.6062855Z 2023-07-07T20:05:31.6063118Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6063185Z raise ValueError( 2023-07-07T20:05:31.6063201Z 2023-07-07T20:05:31.6063360Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6063371Z 2023-07-07T20:05:31.6063460Z ``` 2023-07-07T20:05:31.6063583Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6063892Z - diagnostic_context: 2023-07-07T20:05:31.6064108Z - node: fx.Node(convolution_40[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6064319Z - symbolic_fn: 2023-07-07T20:05:31.6064436Z - torch_args: 2023-07-07T20:05:31.6064544Z - torch_kwargs: 2023-07-07T20:05:31.6064671Z - Return value: 2023-07-07T20:05:31.6065014Z [2023-07-07 20:00:29,605] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_80]. 2023-07-07T20:05:31.6065177Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6065183Z 2023-07-07T20:05:31.6065382Z [2023-07-07 20:00:29,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6065616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6065649Z 2023-07-07T20:05:31.6065833Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6066102Z - self: 2023-07-07T20:05:31.6066342Z - node: fx.Node(convert_element_type_80[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6066443Z - aten_name: 2023-07-07T20:05:31.6066572Z - function_overloads: 2023-07-07T20:05:31.6066689Z - onnx_args: 2023-07-07T20:05:31.6066805Z - onnx_kwargs: 2023-07-07T20:05:31.6067107Z - diagnostic_context: 2023-07-07T20:05:31.6067290Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6067605Z [2023-07-07 20:00:29,608] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_81]. 2023-07-07T20:05:31.6067765Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6067770Z 2023-07-07T20:05:31.6067954Z [2023-07-07 20:00:29,608] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6068155Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6068161Z 2023-07-07T20:05:31.6068341Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6068612Z - self: 2023-07-07T20:05:31.6068856Z - node: fx.Node(convert_element_type_81[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6068970Z - aten_name: 2023-07-07T20:05:31.6069105Z - function_overloads: 2023-07-07T20:05:31.6069224Z - onnx_args: 2023-07-07T20:05:31.6069326Z - onnx_kwargs: 2023-07-07T20:05:31.6069632Z - diagnostic_context: 2023-07-07T20:05:31.6069814Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6070065Z [2023-07-07 20:00:29,617] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_40]. 2023-07-07T20:05:31.6070197Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6070384Z [2023-07-07 20:00:29,617] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6070460Z ### Exception log 2023-07-07T20:05:31.6070523Z ``` 2023-07-07T20:05:31.6070614Z Traceback (most recent call last): 2023-07-07T20:05:31.6070619Z 2023-07-07T20:05:31.6070954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6071086Z torch.testing.assert_close( 2023-07-07T20:05:31.6071093Z 2023-07-07T20:05:31.6071377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6071472Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6071479Z 2023-07-07T20:05:31.6071638Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6071643Z 2023-07-07T20:05:31.6071734Z Mismatched elements: 26 / 48 (54.2%) 2023-07-07T20:05:31.6071868Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.6072002Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6072008Z 2023-07-07T20:05:31.6072056Z ``` 2023-07-07T20:05:31.6072212Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6072524Z - diagnostic_context: 2023-07-07T20:05:31.6072737Z - node: fx.Node(sqrt_40[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6072885Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6073005Z - torch_args: 2023-07-07T20:05:31.6073151Z - torch_kwargs: 2023-07-07T20:05:31.6073267Z - Return value: 2023-07-07T20:05:31.6073523Z [2023-07-07 20:00:29,620] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_40]. 2023-07-07T20:05:31.6073662Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6073668Z 2023-07-07T20:05:31.6073865Z [2023-07-07 20:00:29,620] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6074068Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6074077Z 2023-07-07T20:05:31.6074257Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6074529Z - self: 2023-07-07T20:05:31.6074798Z - node: fx.Node(tensor_int_40[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6074922Z - aten_name: 2023-07-07T20:05:31.6075041Z - function_overloads: 2023-07-07T20:05:31.6075155Z - onnx_args: 2023-07-07T20:05:31.6075273Z - onnx_kwargs: 2023-07-07T20:05:31.6075577Z - diagnostic_context: 2023-07-07T20:05:31.6075736Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6076011Z [2023-07-07 20:00:29,633] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_320]. 2023-07-07T20:05:31.6076156Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6076162Z 2023-07-07T20:05:31.6076361Z [2023-07-07 20:00:29,633] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6076556Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6076561Z 2023-07-07T20:05:31.6076743Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6077012Z - self: 2023-07-07T20:05:31.6077219Z - node: fx.Node(unsqueeze_320[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6077333Z - aten_name: 2023-07-07T20:05:31.6077463Z - function_overloads: 2023-07-07T20:05:31.6077578Z - onnx_args: 2023-07-07T20:05:31.6077694Z - onnx_kwargs: 2023-07-07T20:05:31.6077985Z - diagnostic_context: 2023-07-07T20:05:31.6078143Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6078425Z [2023-07-07 20:00:29,636] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_321]. 2023-07-07T20:05:31.6078610Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6078616Z 2023-07-07T20:05:31.6078814Z [2023-07-07 20:00:29,636] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6079021Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6079027Z 2023-07-07T20:05:31.6079210Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6079477Z - self: 2023-07-07T20:05:31.6079670Z - node: fx.Node(unsqueeze_321[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6079785Z - aten_name: 2023-07-07T20:05:31.6079957Z - function_overloads: 2023-07-07T20:05:31.6080079Z - onnx_args: 2023-07-07T20:05:31.6080201Z - onnx_kwargs: 2023-07-07T20:05:31.6080536Z - diagnostic_context: 2023-07-07T20:05:31.6080694Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6081006Z [2023-07-07 20:00:29,638] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_322]. 2023-07-07T20:05:31.6081134Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6081140Z 2023-07-07T20:05:31.6081333Z [2023-07-07 20:00:29,638] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6081535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6081540Z 2023-07-07T20:05:31.6081727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6081996Z - self: 2023-07-07T20:05:31.6082206Z - node: fx.Node(unsqueeze_322[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6082325Z - aten_name: 2023-07-07T20:05:31.6082459Z - function_overloads: 2023-07-07T20:05:31.6082564Z - onnx_args: 2023-07-07T20:05:31.6082683Z - onnx_kwargs: 2023-07-07T20:05:31.6082993Z - diagnostic_context: 2023-07-07T20:05:31.6083151Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6083432Z [2023-07-07 20:00:29,641] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_323]. 2023-07-07T20:05:31.6083575Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6083581Z 2023-07-07T20:05:31.6083787Z [2023-07-07 20:00:29,641] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6083992Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6083999Z 2023-07-07T20:05:31.6084187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6084568Z - self: 2023-07-07T20:05:31.6084787Z - node: fx.Node(unsqueeze_323[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6084905Z - aten_name: 2023-07-07T20:05:31.6085042Z - function_overloads: 2023-07-07T20:05:31.6085159Z - onnx_args: 2023-07-07T20:05:31.6085277Z - onnx_kwargs: 2023-07-07T20:05:31.6085586Z - diagnostic_context: 2023-07-07T20:05:31.6085740Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6086026Z [2023-07-07 20:00:29,653] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_324]. 2023-07-07T20:05:31.6086169Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6086178Z 2023-07-07T20:05:31.6086433Z [2023-07-07 20:00:29,653] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6086637Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6086645Z 2023-07-07T20:05:31.6086832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6087102Z - self: 2023-07-07T20:05:31.6087313Z - node: fx.Node(unsqueeze_324[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6087430Z - aten_name: 2023-07-07T20:05:31.6087550Z - function_overloads: 2023-07-07T20:05:31.6087708Z - onnx_args: 2023-07-07T20:05:31.6087830Z - onnx_kwargs: 2023-07-07T20:05:31.6088135Z - diagnostic_context: 2023-07-07T20:05:31.6088331Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6088614Z [2023-07-07 20:00:29,655] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_325]. 2023-07-07T20:05:31.6088791Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6088797Z 2023-07-07T20:05:31.6088993Z [2023-07-07 20:00:29,656] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6089190Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6089209Z 2023-07-07T20:05:31.6089382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6089653Z - self: 2023-07-07T20:05:31.6089860Z - node: fx.Node(unsqueeze_325[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6089975Z - aten_name: 2023-07-07T20:05:31.6090108Z - function_overloads: 2023-07-07T20:05:31.6090231Z - onnx_args: 2023-07-07T20:05:31.6090354Z - onnx_kwargs: 2023-07-07T20:05:31.6090650Z - diagnostic_context: 2023-07-07T20:05:31.6090808Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6091083Z [2023-07-07 20:00:29,663] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_326]. 2023-07-07T20:05:31.6091226Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6091232Z 2023-07-07T20:05:31.6091432Z [2023-07-07 20:00:29,663] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6091638Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6091643Z 2023-07-07T20:05:31.6091833Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6092101Z - self: 2023-07-07T20:05:31.6092308Z - node: fx.Node(unsqueeze_326[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6092411Z - aten_name: 2023-07-07T20:05:31.6092544Z - function_overloads: 2023-07-07T20:05:31.6092658Z - onnx_args: 2023-07-07T20:05:31.6092776Z - onnx_kwargs: 2023-07-07T20:05:31.6093079Z - diagnostic_context: 2023-07-07T20:05:31.6093235Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6093510Z [2023-07-07 20:00:29,665] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_327]. 2023-07-07T20:05:31.6093641Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6093659Z 2023-07-07T20:05:31.6093844Z [2023-07-07 20:00:29,666] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6094086Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6094094Z 2023-07-07T20:05:31.6094284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6094553Z - self: 2023-07-07T20:05:31.6094762Z - node: fx.Node(unsqueeze_327[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6094878Z - aten_name: 2023-07-07T20:05:31.6095011Z - function_overloads: 2023-07-07T20:05:31.6095128Z - onnx_args: 2023-07-07T20:05:31.6095234Z - onnx_kwargs: 2023-07-07T20:05:31.6095581Z - diagnostic_context: 2023-07-07T20:05:31.6095739Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6096017Z [2023-07-07 20:00:29,682] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_11]. 2023-07-07T20:05:31.6096150Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6096183Z 2023-07-07T20:05:31.6096377Z [2023-07-07 20:00:29,682] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6096578Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6096584Z 2023-07-07T20:05:31.6096768Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6097019Z - self: 2023-07-07T20:05:31.6097194Z - node: fx.Node(cat_11[call_function]'aten.cat.default') 2023-07-07T20:05:31.6097310Z - aten_name: 2023-07-07T20:05:31.6097440Z - function_overloads: 2023-07-07T20:05:31.6097554Z - onnx_args: 2023-07-07T20:05:31.6097671Z - onnx_kwargs: 2023-07-07T20:05:31.6097979Z - diagnostic_context: 2023-07-07T20:05:31.6098123Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.6098377Z [2023-07-07 20:00:29,690] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_11]. 2023-07-07T20:05:31.6098522Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6098527Z 2023-07-07T20:05:31.6098721Z [2023-07-07 20:00:29,691] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6098921Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6098926Z 2023-07-07T20:05:31.6099109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6099379Z - self: 2023-07-07T20:05:31.6099578Z - node: fx.Node(transpose_11[call_function]'aten.transpose.int') 2023-07-07T20:05:31.6099692Z - aten_name: 2023-07-07T20:05:31.6099811Z - function_overloads: 2023-07-07T20:05:31.6099929Z - onnx_args: 2023-07-07T20:05:31.6100076Z - onnx_kwargs: 2023-07-07T20:05:31.6100538Z - diagnostic_context: 2023-07-07T20:05:31.6100858Z - Return value: 2023-07-07T20:05:31.6101122Z [2023-07-07 20:00:29,694] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_11]. 2023-07-07T20:05:31.6101262Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6101267Z 2023-07-07T20:05:31.6101467Z [2023-07-07 20:00:29,694] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6101659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6101681Z 2023-07-07T20:05:31.6101909Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6102183Z - self: 2023-07-07T20:05:31.6102369Z - node: fx.Node(clone_11[call_function]'aten.clone.default') 2023-07-07T20:05:31.6102483Z - aten_name: 2023-07-07T20:05:31.6102613Z - function_overloads: 2023-07-07T20:05:31.6102726Z - onnx_args: 2023-07-07T20:05:31.6102840Z - onnx_kwargs: 2023-07-07T20:05:31.6103129Z - diagnostic_context: 2023-07-07T20:05:31.6103276Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.6103597Z [2023-07-07 20:00:29,702] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_41]. 2023-07-07T20:05:31.6103744Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6103782Z 2023-07-07T20:05:31.6103983Z [2023-07-07 20:00:29,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6104270Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6104275Z 2023-07-07T20:05:31.6104463Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6104732Z - self: 2023-07-07T20:05:31.6104948Z - node: fx.Node(convolution_41[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6105049Z - aten_name: 2023-07-07T20:05:31.6105182Z - function_overloads: 2023-07-07T20:05:31.6105301Z - onnx_args: 2023-07-07T20:05:31.6105420Z - onnx_kwargs: 2023-07-07T20:05:31.6105722Z - diagnostic_context: 2023-07-07T20:05:31.6105939Z - Return value: 2023-07-07T20:05:31.6106225Z [2023-07-07 20:00:29,711] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_41]. 2023-07-07T20:05:31.6106359Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6106560Z [2023-07-07 20:00:29,711] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6106638Z ### Exception log 2023-07-07T20:05:31.6106700Z ``` 2023-07-07T20:05:31.6106798Z Traceback (most recent call last): 2023-07-07T20:05:31.6106803Z 2023-07-07T20:05:31.6107141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6107265Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6107271Z 2023-07-07T20:05:31.6107533Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6107632Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6107638Z 2023-07-07T20:05:31.6107946Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6108044Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6108049Z 2023-07-07T20:05:31.6108308Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6108443Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6108449Z 2023-07-07T20:05:31.6108724Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6108861Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6108867Z 2023-07-07T20:05:31.6109192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6109302Z result = op.Conv( 2023-07-07T20:05:31.6109309Z 2023-07-07T20:05:31.6109592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6109663Z return op( 2023-07-07T20:05:31.6109669Z 2023-07-07T20:05:31.6109916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6110044Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6110049Z 2023-07-07T20:05:31.6110307Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6110471Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6110477Z 2023-07-07T20:05:31.6110738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6110889Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6110897Z 2023-07-07T20:05:31.6111169Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6111370Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6111376Z 2023-07-07T20:05:31.6111631Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6111710Z node.attribute.extend( 2023-07-07T20:05:31.6111727Z 2023-07-07T20:05:31.6111966Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6112054Z make_attribute(key, value) 2023-07-07T20:05:31.6112060Z 2023-07-07T20:05:31.6112323Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6112401Z raise ValueError( 2023-07-07T20:05:31.6112409Z 2023-07-07T20:05:31.6112583Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6112588Z 2023-07-07T20:05:31.6112652Z ``` 2023-07-07T20:05:31.6112774Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6113079Z - diagnostic_context: 2023-07-07T20:05:31.6113286Z - node: fx.Node(convolution_41[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6113497Z - symbolic_fn: 2023-07-07T20:05:31.6113614Z - torch_args: 2023-07-07T20:05:31.6113733Z - torch_kwargs: 2023-07-07T20:05:31.6113862Z - Return value: 2023-07-07T20:05:31.6114175Z [2023-07-07 20:00:29,716] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_82]. 2023-07-07T20:05:31.6114335Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6114343Z 2023-07-07T20:05:31.6114543Z [2023-07-07 20:00:29,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6114832Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6114854Z 2023-07-07T20:05:31.6115027Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6115299Z - self: 2023-07-07T20:05:31.6115541Z - node: fx.Node(convert_element_type_82[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6115655Z - aten_name: 2023-07-07T20:05:31.6115786Z - function_overloads: 2023-07-07T20:05:31.6115904Z - onnx_args: 2023-07-07T20:05:31.6116021Z - onnx_kwargs: 2023-07-07T20:05:31.6116314Z - diagnostic_context: 2023-07-07T20:05:31.6116533Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6116845Z [2023-07-07 20:00:29,721] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_83]. 2023-07-07T20:05:31.6117005Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6117010Z 2023-07-07T20:05:31.6117207Z [2023-07-07 20:00:29,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6117411Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6117416Z 2023-07-07T20:05:31.6117625Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6117894Z - self: 2023-07-07T20:05:31.6118131Z - node: fx.Node(convert_element_type_83[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6118264Z - aten_name: 2023-07-07T20:05:31.6118395Z - function_overloads: 2023-07-07T20:05:31.6118537Z - onnx_args: 2023-07-07T20:05:31.6118650Z - onnx_kwargs: 2023-07-07T20:05:31.6118952Z - diagnostic_context: 2023-07-07T20:05:31.6119134Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6119390Z [2023-07-07 20:00:29,731] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_41]. 2023-07-07T20:05:31.6119522Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6119696Z [2023-07-07 20:00:29,731] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6119771Z ### Exception log 2023-07-07T20:05:31.6119832Z ``` 2023-07-07T20:05:31.6119930Z Traceback (most recent call last): 2023-07-07T20:05:31.6119936Z 2023-07-07T20:05:31.6120271Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6120367Z torch.testing.assert_close( 2023-07-07T20:05:31.6120375Z 2023-07-07T20:05:31.6120659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6120754Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6120759Z 2023-07-07T20:05:31.6120903Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6120921Z 2023-07-07T20:05:31.6121000Z Mismatched elements: 47 / 96 (49.0%) 2023-07-07T20:05:31.6121132Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.6121270Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6121275Z 2023-07-07T20:05:31.6121339Z ``` 2023-07-07T20:05:31.6121459Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6121769Z - diagnostic_context: 2023-07-07T20:05:31.6121948Z - node: fx.Node(sqrt_41[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6122081Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6122197Z - torch_args: 2023-07-07T20:05:31.6122316Z - torch_kwargs: 2023-07-07T20:05:31.6122444Z - Return value: 2023-07-07T20:05:31.6122700Z [2023-07-07 20:00:29,735] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_41]. 2023-07-07T20:05:31.6122841Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6122847Z 2023-07-07T20:05:31.6123049Z [2023-07-07 20:00:29,735] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6123252Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6123258Z 2023-07-07T20:05:31.6123471Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6123730Z - self: 2023-07-07T20:05:31.6123918Z - node: fx.Node(tensor_int_41[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6124031Z - aten_name: 2023-07-07T20:05:31.6124165Z - function_overloads: 2023-07-07T20:05:31.6124280Z - onnx_args: 2023-07-07T20:05:31.6124503Z - onnx_kwargs: 2023-07-07T20:05:31.6124845Z - diagnostic_context: 2023-07-07T20:05:31.6124991Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6125336Z [2023-07-07 20:00:29,750] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_328]. 2023-07-07T20:05:31.6125481Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6125488Z 2023-07-07T20:05:31.6125725Z [2023-07-07 20:00:29,750] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6125931Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6125972Z 2023-07-07T20:05:31.6126157Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6126424Z - self: 2023-07-07T20:05:31.6126633Z - node: fx.Node(unsqueeze_328[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6126746Z - aten_name: 2023-07-07T20:05:31.6126864Z - function_overloads: 2023-07-07T20:05:31.6126979Z - onnx_args: 2023-07-07T20:05:31.6127096Z - onnx_kwargs: 2023-07-07T20:05:31.6127401Z - diagnostic_context: 2023-07-07T20:05:31.6127561Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6127841Z [2023-07-07 20:00:29,753] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_329]. 2023-07-07T20:05:31.6127984Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6127993Z 2023-07-07T20:05:31.6128186Z [2023-07-07 20:00:29,753] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6128374Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6128380Z 2023-07-07T20:05:31.6128560Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6128829Z - self: 2023-07-07T20:05:31.6129038Z - node: fx.Node(unsqueeze_329[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6129150Z - aten_name: 2023-07-07T20:05:31.6129281Z - function_overloads: 2023-07-07T20:05:31.6129398Z - onnx_args: 2023-07-07T20:05:31.6129504Z - onnx_kwargs: 2023-07-07T20:05:31.6129809Z - diagnostic_context: 2023-07-07T20:05:31.6129967Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6130245Z [2023-07-07 20:00:29,757] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_330]. 2023-07-07T20:05:31.6130384Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6130390Z 2023-07-07T20:05:31.6130588Z [2023-07-07 20:00:29,757] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6130787Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6130795Z 2023-07-07T20:05:31.6130977Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6131246Z - self: 2023-07-07T20:05:31.6131482Z - node: fx.Node(unsqueeze_330[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6131599Z - aten_name: 2023-07-07T20:05:31.6131729Z - function_overloads: 2023-07-07T20:05:31.6131843Z - onnx_args: 2023-07-07T20:05:31.6131960Z - onnx_kwargs: 2023-07-07T20:05:31.6132262Z - diagnostic_context: 2023-07-07T20:05:31.6132419Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6132695Z [2023-07-07 20:00:29,760] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_331]. 2023-07-07T20:05:31.6132867Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6132873Z 2023-07-07T20:05:31.6133070Z [2023-07-07 20:00:29,760] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6133304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6133309Z 2023-07-07T20:05:31.6133491Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6133783Z - self: 2023-07-07T20:05:31.6133987Z - node: fx.Node(unsqueeze_331[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6134103Z - aten_name: 2023-07-07T20:05:31.6134234Z - function_overloads: 2023-07-07T20:05:31.6134336Z - onnx_args: 2023-07-07T20:05:31.6134455Z - onnx_kwargs: 2023-07-07T20:05:31.6134760Z - diagnostic_context: 2023-07-07T20:05:31.6134917Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6135194Z [2023-07-07 20:00:29,773] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_332]. 2023-07-07T20:05:31.6135342Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6135347Z 2023-07-07T20:05:31.6135544Z [2023-07-07 20:00:29,773] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6135753Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6135759Z 2023-07-07T20:05:31.6135943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6136198Z - self: 2023-07-07T20:05:31.6136409Z - node: fx.Node(unsqueeze_332[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6136523Z - aten_name: 2023-07-07T20:05:31.6136657Z - function_overloads: 2023-07-07T20:05:31.6136773Z - onnx_args: 2023-07-07T20:05:31.6136894Z - onnx_kwargs: 2023-07-07T20:05:31.6137204Z - diagnostic_context: 2023-07-07T20:05:31.6137348Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6137631Z [2023-07-07 20:00:29,776] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_333]. 2023-07-07T20:05:31.6137773Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6137778Z 2023-07-07T20:05:31.6137975Z [2023-07-07 20:00:29,776] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6138179Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6138184Z 2023-07-07T20:05:31.6138369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6138638Z - self: 2023-07-07T20:05:31.6138847Z - node: fx.Node(unsqueeze_333[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6138992Z - aten_name: 2023-07-07T20:05:31.6139113Z - function_overloads: 2023-07-07T20:05:31.6139233Z - onnx_args: 2023-07-07T20:05:31.6139349Z - onnx_kwargs: 2023-07-07T20:05:31.6139653Z - diagnostic_context: 2023-07-07T20:05:31.6139810Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6140089Z [2023-07-07 20:00:29,783] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_334]. 2023-07-07T20:05:31.6140232Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6140239Z 2023-07-07T20:05:31.6140474Z [2023-07-07 20:00:29,783] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6140665Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6140712Z 2023-07-07T20:05:31.6140886Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6141150Z - self: 2023-07-07T20:05:31.6141384Z - node: fx.Node(unsqueeze_334[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6141497Z - aten_name: 2023-07-07T20:05:31.6141630Z - function_overloads: 2023-07-07T20:05:31.6141746Z - onnx_args: 2023-07-07T20:05:31.6141869Z - onnx_kwargs: 2023-07-07T20:05:31.6142157Z - diagnostic_context: 2023-07-07T20:05:31.6142314Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6142594Z [2023-07-07 20:00:29,786] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_335]. 2023-07-07T20:05:31.6142738Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6142747Z 2023-07-07T20:05:31.6142947Z [2023-07-07 20:00:29,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6143149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6143157Z 2023-07-07T20:05:31.6143343Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6143612Z - self: 2023-07-07T20:05:31.6143820Z - node: fx.Node(unsqueeze_335[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6143921Z - aten_name: 2023-07-07T20:05:31.6144051Z - function_overloads: 2023-07-07T20:05:31.6144170Z - onnx_args: 2023-07-07T20:05:31.6144285Z - onnx_kwargs: 2023-07-07T20:05:31.6144590Z - diagnostic_context: 2023-07-07T20:05:31.6144751Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6145036Z [2023-07-07 20:00:29,794] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_42]. 2023-07-07T20:05:31.6145170Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6145188Z 2023-07-07T20:05:31.6145369Z [2023-07-07 20:00:29,794] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6145566Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6145572Z 2023-07-07T20:05:31.6145754Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6146023Z - self: 2023-07-07T20:05:31.6146237Z - node: fx.Node(convolution_42[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6146353Z - aten_name: 2023-07-07T20:05:31.6146488Z - function_overloads: 2023-07-07T20:05:31.6146632Z - onnx_args: 2023-07-07T20:05:31.6146739Z - onnx_kwargs: 2023-07-07T20:05:31.6147041Z - diagnostic_context: 2023-07-07T20:05:31.6147251Z - Return value: 2023-07-07T20:05:31.6147534Z [2023-07-07 20:00:29,806] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_42]. 2023-07-07T20:05:31.6147680Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6147881Z [2023-07-07 20:00:29,806] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6147954Z ### Exception log 2023-07-07T20:05:31.6148003Z ``` 2023-07-07T20:05:31.6148129Z Traceback (most recent call last): 2023-07-07T20:05:31.6148135Z 2023-07-07T20:05:31.6148469Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6148622Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6148655Z 2023-07-07T20:05:31.6148919Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6149014Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6149020Z 2023-07-07T20:05:31.6149335Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6149430Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6149436Z 2023-07-07T20:05:31.6149692Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6149831Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6149837Z 2023-07-07T20:05:31.6150099Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6150238Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6150243Z 2023-07-07T20:05:31.6150572Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6150648Z result = op.Conv( 2023-07-07T20:05:31.6150654Z 2023-07-07T20:05:31.6150938Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6151008Z return op( 2023-07-07T20:05:31.6151013Z 2023-07-07T20:05:31.6151267Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6151395Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6151401Z 2023-07-07T20:05:31.6151658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6151781Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6151797Z 2023-07-07T20:05:31.6152045Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6152171Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6152177Z 2023-07-07T20:05:31.6152442Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6152619Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6152624Z 2023-07-07T20:05:31.6152879Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6152972Z node.attribute.extend( 2023-07-07T20:05:31.6152978Z 2023-07-07T20:05:31.6153229Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6153319Z make_attribute(key, value) 2023-07-07T20:05:31.6153353Z 2023-07-07T20:05:31.6153617Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6153688Z raise ValueError( 2023-07-07T20:05:31.6153705Z 2023-07-07T20:05:31.6153864Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6153870Z 2023-07-07T20:05:31.6153930Z ``` 2023-07-07T20:05:31.6154052Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6154359Z - diagnostic_context: 2023-07-07T20:05:31.6154574Z - node: fx.Node(convolution_42[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6154923Z - symbolic_fn: 2023-07-07T20:05:31.6155044Z - torch_args: 2023-07-07T20:05:31.6155151Z - torch_kwargs: 2023-07-07T20:05:31.6155310Z - Return value: 2023-07-07T20:05:31.6155625Z [2023-07-07 20:00:29,811] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_84]. 2023-07-07T20:05:31.6155829Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6155835Z 2023-07-07T20:05:31.6156030Z [2023-07-07 20:00:29,811] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6156234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6156240Z 2023-07-07T20:05:31.6156424Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6156693Z - self: 2023-07-07T20:05:31.6156935Z - node: fx.Node(convert_element_type_84[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6157039Z - aten_name: 2023-07-07T20:05:31.6157173Z - function_overloads: 2023-07-07T20:05:31.6157288Z - onnx_args: 2023-07-07T20:05:31.6157404Z - onnx_kwargs: 2023-07-07T20:05:31.6157709Z - diagnostic_context: 2023-07-07T20:05:31.6157891Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6158199Z [2023-07-07 20:00:29,815] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_85]. 2023-07-07T20:05:31.6158358Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6158364Z 2023-07-07T20:05:31.6158546Z [2023-07-07 20:00:29,815] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6158748Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6158754Z 2023-07-07T20:05:31.6158940Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6159207Z - self: 2023-07-07T20:05:31.6159450Z - node: fx.Node(convert_element_type_85[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6159562Z - aten_name: 2023-07-07T20:05:31.6159692Z - function_overloads: 2023-07-07T20:05:31.6159805Z - onnx_args: 2023-07-07T20:05:31.6159909Z - onnx_kwargs: 2023-07-07T20:05:31.6160210Z - diagnostic_context: 2023-07-07T20:05:31.6160390Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6160643Z [2023-07-07 20:00:29,823] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_42]. 2023-07-07T20:05:31.6160775Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6160986Z [2023-07-07 20:00:29,823] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6161061Z ### Exception log 2023-07-07T20:05:31.6161122Z ``` 2023-07-07T20:05:31.6161208Z Traceback (most recent call last): 2023-07-07T20:05:31.6161214Z 2023-07-07T20:05:31.6161544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6161638Z torch.testing.assert_close( 2023-07-07T20:05:31.6161643Z 2023-07-07T20:05:31.6161924Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6162015Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6162021Z 2023-07-07T20:05:31.6162205Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6162211Z 2023-07-07T20:05:31.6162303Z Mismatched elements: 47 / 96 (49.0%) 2023-07-07T20:05:31.6162440Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.6162635Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6162653Z 2023-07-07T20:05:31.6162701Z ``` 2023-07-07T20:05:31.6162848Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6163156Z - diagnostic_context: 2023-07-07T20:05:31.6163335Z - node: fx.Node(sqrt_42[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6163478Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6163596Z - torch_args: 2023-07-07T20:05:31.6163715Z - torch_kwargs: 2023-07-07T20:05:31.6163831Z - Return value: 2023-07-07T20:05:31.6164089Z [2023-07-07 20:00:29,826] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_42]. 2023-07-07T20:05:31.6164232Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6164238Z 2023-07-07T20:05:31.6164571Z [2023-07-07 20:00:29,827] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6164783Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6164792Z 2023-07-07T20:05:31.6164974Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6165249Z - self: 2023-07-07T20:05:31.6165438Z - node: fx.Node(tensor_int_42[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6165551Z - aten_name: 2023-07-07T20:05:31.6165671Z - function_overloads: 2023-07-07T20:05:31.6165786Z - onnx_args: 2023-07-07T20:05:31.6165903Z - onnx_kwargs: 2023-07-07T20:05:31.6166207Z - diagnostic_context: 2023-07-07T20:05:31.6166366Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6166649Z [2023-07-07 20:00:29,839] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_336]. 2023-07-07T20:05:31.6166792Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6166800Z 2023-07-07T20:05:31.6166982Z [2023-07-07 20:00:29,839] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6167183Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6167189Z 2023-07-07T20:05:31.6167373Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6167639Z - self: 2023-07-07T20:05:31.6167848Z - node: fx.Node(unsqueeze_336[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6167961Z - aten_name: 2023-07-07T20:05:31.6168091Z - function_overloads: 2023-07-07T20:05:31.6168207Z - onnx_args: 2023-07-07T20:05:31.6168368Z - onnx_kwargs: 2023-07-07T20:05:31.6168674Z - diagnostic_context: 2023-07-07T20:05:31.6168834Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6169113Z [2023-07-07 20:00:29,842] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_337]. 2023-07-07T20:05:31.6169254Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6169259Z 2023-07-07T20:05:31.6169457Z [2023-07-07 20:00:29,842] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6169662Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6169703Z 2023-07-07T20:05:31.6169889Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6170161Z - self: 2023-07-07T20:05:31.6170395Z - node: fx.Node(unsqueeze_337[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6170542Z - aten_name: 2023-07-07T20:05:31.6170675Z - function_overloads: 2023-07-07T20:05:31.6170790Z - onnx_args: 2023-07-07T20:05:31.6170905Z - onnx_kwargs: 2023-07-07T20:05:31.6171205Z - diagnostic_context: 2023-07-07T20:05:31.6171361Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6171637Z [2023-07-07 20:00:29,844] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_338]. 2023-07-07T20:05:31.6171768Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6171777Z 2023-07-07T20:05:31.6171972Z [2023-07-07 20:00:29,845] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6172177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6172185Z 2023-07-07T20:05:31.6172366Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6172635Z - self: 2023-07-07T20:05:31.6172839Z - node: fx.Node(unsqueeze_338[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6172951Z - aten_name: 2023-07-07T20:05:31.6173080Z - function_overloads: 2023-07-07T20:05:31.6173183Z - onnx_args: 2023-07-07T20:05:31.6173299Z - onnx_kwargs: 2023-07-07T20:05:31.6173601Z - diagnostic_context: 2023-07-07T20:05:31.6173760Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6174116Z [2023-07-07 20:00:29,847] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_339]. 2023-07-07T20:05:31.6174334Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6174342Z 2023-07-07T20:05:31.6174639Z [2023-07-07 20:00:29,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6174941Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6174949Z 2023-07-07T20:05:31.6175221Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6175612Z - self: 2023-07-07T20:05:31.6175928Z - node: fx.Node(unsqueeze_339[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6176101Z - aten_name: 2023-07-07T20:05:31.6176305Z - function_overloads: 2023-07-07T20:05:31.6176480Z - onnx_args: 2023-07-07T20:05:31.6176658Z - onnx_kwargs: 2023-07-07T20:05:31.6177154Z - diagnostic_context: 2023-07-07T20:05:31.6177381Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6177810Z [2023-07-07 20:00:29,858] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_340]. 2023-07-07T20:05:31.6178022Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6178030Z 2023-07-07T20:05:31.6178326Z [2023-07-07 20:00:29,858] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6178630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6178638Z 2023-07-07T20:05:31.6178948Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6179359Z - self: 2023-07-07T20:05:31.6179667Z - node: fx.Node(unsqueeze_340[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6179880Z - aten_name: 2023-07-07T20:05:31.6180066Z - function_overloads: 2023-07-07T20:05:31.6180273Z - onnx_args: 2023-07-07T20:05:31.6180451Z - onnx_kwargs: 2023-07-07T20:05:31.6180910Z - diagnostic_context: 2023-07-07T20:05:31.6181147Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6181562Z [2023-07-07 20:00:29,861] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_341]. 2023-07-07T20:05:31.6181772Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6181780Z 2023-07-07T20:05:31.6182078Z [2023-07-07 20:00:29,861] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6182364Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6182376Z 2023-07-07T20:05:31.6182653Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6183057Z - self: 2023-07-07T20:05:31.6183369Z - node: fx.Node(unsqueeze_341[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6183540Z - aten_name: 2023-07-07T20:05:31.6183738Z - function_overloads: 2023-07-07T20:05:31.6183910Z - onnx_args: 2023-07-07T20:05:31.6184086Z - onnx_kwargs: 2023-07-07T20:05:31.6184533Z - diagnostic_context: 2023-07-07T20:05:31.6184769Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6185189Z [2023-07-07 20:00:29,867] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_342]. 2023-07-07T20:05:31.6185396Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6185407Z 2023-07-07T20:05:31.6185709Z [2023-07-07 20:00:29,867] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6186014Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6186025Z 2023-07-07T20:05:31.6186299Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6186706Z - self: 2023-07-07T20:05:31.6187018Z - node: fx.Node(unsqueeze_342[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6187173Z - aten_name: 2023-07-07T20:05:31.6187373Z - function_overloads: 2023-07-07T20:05:31.6187544Z - onnx_args: 2023-07-07T20:05:31.6187725Z - onnx_kwargs: 2023-07-07T20:05:31.6188185Z - diagnostic_context: 2023-07-07T20:05:31.6188426Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6188887Z [2023-07-07 20:00:29,870] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_343]. 2023-07-07T20:05:31.6189089Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6189096Z 2023-07-07T20:05:31.6189392Z [2023-07-07 20:00:29,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6189697Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6189705Z 2023-07-07T20:05:31.6189982Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6190434Z - self: 2023-07-07T20:05:31.6190756Z - node: fx.Node(unsqueeze_343[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6190875Z - aten_name: 2023-07-07T20:05:31.6191044Z - function_overloads: 2023-07-07T20:05:31.6191148Z - onnx_args: 2023-07-07T20:05:31.6191264Z - onnx_kwargs: 2023-07-07T20:05:31.6191600Z - diagnostic_context: 2023-07-07T20:05:31.6191757Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6192041Z [2023-07-07 20:00:29,888] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_43]. 2023-07-07T20:05:31.6192185Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6192192Z 2023-07-07T20:05:31.6192389Z [2023-07-07 20:00:29,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6192592Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6192597Z 2023-07-07T20:05:31.6192780Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6193038Z - self: 2023-07-07T20:05:31.6193256Z - node: fx.Node(convolution_43[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6193370Z - aten_name: 2023-07-07T20:05:31.6193501Z - function_overloads: 2023-07-07T20:05:31.6193619Z - onnx_args: 2023-07-07T20:05:31.6193733Z - onnx_kwargs: 2023-07-07T20:05:31.6194038Z - diagnostic_context: 2023-07-07T20:05:31.6194249Z - Return value: 2023-07-07T20:05:31.6194525Z [2023-07-07 20:00:29,895] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_43]. 2023-07-07T20:05:31.6194750Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6194952Z [2023-07-07 20:00:29,895] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6195029Z ### Exception log 2023-07-07T20:05:31.6195093Z ``` 2023-07-07T20:05:31.6195191Z Traceback (most recent call last): 2023-07-07T20:05:31.6195199Z 2023-07-07T20:05:31.6195532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6195657Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6195663Z 2023-07-07T20:05:31.6195912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6196008Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6196013Z 2023-07-07T20:05:31.6196334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6196430Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6196436Z 2023-07-07T20:05:31.6196732Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6196875Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6196883Z 2023-07-07T20:05:31.6197159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6197296Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6197302Z 2023-07-07T20:05:31.6197634Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6197711Z result = op.Conv( 2023-07-07T20:05:31.6197717Z 2023-07-07T20:05:31.6198018Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6198093Z return op( 2023-07-07T20:05:31.6198098Z 2023-07-07T20:05:31.6198354Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6198515Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6198520Z 2023-07-07T20:05:31.6198805Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6198936Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6198941Z 2023-07-07T20:05:31.6199202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6199328Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6199333Z 2023-07-07T20:05:31.6199604Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6199770Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6199790Z 2023-07-07T20:05:31.6200028Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6200125Z node.attribute.extend( 2023-07-07T20:05:31.6200131Z 2023-07-07T20:05:31.6200386Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6200475Z make_attribute(key, value) 2023-07-07T20:05:31.6200481Z 2023-07-07T20:05:31.6200744Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6200824Z raise ValueError( 2023-07-07T20:05:31.6200829Z 2023-07-07T20:05:31.6201004Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6201009Z 2023-07-07T20:05:31.6201072Z ``` 2023-07-07T20:05:31.6201196Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6201491Z - diagnostic_context: 2023-07-07T20:05:31.6201712Z - node: fx.Node(convolution_43[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6201926Z - symbolic_fn: 2023-07-07T20:05:31.6202048Z - torch_args: 2023-07-07T20:05:31.6202170Z - torch_kwargs: 2023-07-07T20:05:31.6202302Z - Return value: 2023-07-07T20:05:31.6202619Z [2023-07-07 20:00:29,900] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_86]. 2023-07-07T20:05:31.6202766Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6202786Z 2023-07-07T20:05:31.6202970Z [2023-07-07 20:00:29,900] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6203176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6203182Z 2023-07-07T20:05:31.6203368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6203665Z - self: 2023-07-07T20:05:31.6203910Z - node: fx.Node(convert_element_type_86[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6204026Z - aten_name: 2023-07-07T20:05:31.6204157Z - function_overloads: 2023-07-07T20:05:31.6204271Z - onnx_args: 2023-07-07T20:05:31.6204374Z - onnx_kwargs: 2023-07-07T20:05:31.6204853Z - diagnostic_context: 2023-07-07T20:05:31.6205038Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6205415Z [2023-07-07 20:00:29,904] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_87]. 2023-07-07T20:05:31.6205575Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6205581Z 2023-07-07T20:05:31.6205817Z [2023-07-07 20:00:29,904] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6206023Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6206063Z 2023-07-07T20:05:31.6206247Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6206517Z - self: 2023-07-07T20:05:31.6206747Z - node: fx.Node(convert_element_type_87[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6206861Z - aten_name: 2023-07-07T20:05:31.6206993Z - function_overloads: 2023-07-07T20:05:31.6207109Z - onnx_args: 2023-07-07T20:05:31.6207227Z - onnx_kwargs: 2023-07-07T20:05:31.6207531Z - diagnostic_context: 2023-07-07T20:05:31.6207714Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6207957Z [2023-07-07 20:00:29,912] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_43]. 2023-07-07T20:05:31.6208091Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6208278Z [2023-07-07 20:00:29,912] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6208352Z ### Exception log 2023-07-07T20:05:31.6208413Z ``` 2023-07-07T20:05:31.6208510Z Traceback (most recent call last): 2023-07-07T20:05:31.6208515Z 2023-07-07T20:05:31.6208847Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6208942Z torch.testing.assert_close( 2023-07-07T20:05:31.6208947Z 2023-07-07T20:05:31.6209222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6209314Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6209322Z 2023-07-07T20:05:31.6209480Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6209486Z 2023-07-07T20:05:31.6209576Z Mismatched elements: 48 / 96 (50.0%) 2023-07-07T20:05:31.6209713Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.6209848Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6209854Z 2023-07-07T20:05:31.6209914Z ``` 2023-07-07T20:05:31.6210035Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6210340Z - diagnostic_context: 2023-07-07T20:05:31.6210506Z - node: fx.Node(sqrt_43[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6210651Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6210772Z - torch_args: 2023-07-07T20:05:31.6210890Z - torch_kwargs: 2023-07-07T20:05:31.6211018Z - Return value: 2023-07-07T20:05:31.6211315Z [2023-07-07 20:00:29,916] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_43]. 2023-07-07T20:05:31.6211456Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6211464Z 2023-07-07T20:05:31.6211648Z [2023-07-07 20:00:29,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6211850Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6211855Z 2023-07-07T20:05:31.6212037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6212306Z - self: 2023-07-07T20:05:31.6212522Z - node: fx.Node(tensor_int_43[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6212637Z - aten_name: 2023-07-07T20:05:31.6212767Z - function_overloads: 2023-07-07T20:05:31.6212912Z - onnx_args: 2023-07-07T20:05:31.6213018Z - onnx_kwargs: 2023-07-07T20:05:31.6213319Z - diagnostic_context: 2023-07-07T20:05:31.6213514Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6213793Z [2023-07-07 20:00:29,930] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_344]. 2023-07-07T20:05:31.6213933Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6213939Z 2023-07-07T20:05:31.6214135Z [2023-07-07 20:00:29,930] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6214336Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6214342Z 2023-07-07T20:05:31.6214528Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6214796Z - self: 2023-07-07T20:05:31.6214993Z - node: fx.Node(unsqueeze_344[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6215105Z - aten_name: 2023-07-07T20:05:31.6215239Z - function_overloads: 2023-07-07T20:05:31.6215354Z - onnx_args: 2023-07-07T20:05:31.6215471Z - onnx_kwargs: 2023-07-07T20:05:31.6215774Z - diagnostic_context: 2023-07-07T20:05:31.6215930Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6216195Z [2023-07-07 20:00:29,933] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_345]. 2023-07-07T20:05:31.6216335Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6216342Z 2023-07-07T20:05:31.6216539Z [2023-07-07 20:00:29,933] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6216742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6216750Z 2023-07-07T20:05:31.6216930Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6217201Z - self: 2023-07-07T20:05:31.6217406Z - node: fx.Node(unsqueeze_345[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6217518Z - aten_name: 2023-07-07T20:05:31.6217648Z - function_overloads: 2023-07-07T20:05:31.6217749Z - onnx_args: 2023-07-07T20:05:31.6217864Z - onnx_kwargs: 2023-07-07T20:05:31.6218166Z - diagnostic_context: 2023-07-07T20:05:31.6218324Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6218599Z [2023-07-07 20:00:29,936] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_346]. 2023-07-07T20:05:31.6218774Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6218780Z 2023-07-07T20:05:31.6218976Z [2023-07-07 20:00:29,936] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6219177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6219183Z 2023-07-07T20:05:31.6219363Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6219614Z - self: 2023-07-07T20:05:31.6219819Z - node: fx.Node(unsqueeze_346[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6219935Z - aten_name: 2023-07-07T20:05:31.6220099Z - function_overloads: 2023-07-07T20:05:31.6220216Z - onnx_args: 2023-07-07T20:05:31.6220331Z - onnx_kwargs: 2023-07-07T20:05:31.6220663Z - diagnostic_context: 2023-07-07T20:05:31.6220806Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6221115Z [2023-07-07 20:00:29,938] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_347]. 2023-07-07T20:05:31.6221256Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6221262Z 2023-07-07T20:05:31.6221458Z [2023-07-07 20:00:29,938] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6221659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6221665Z 2023-07-07T20:05:31.6221846Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6222114Z - self: 2023-07-07T20:05:31.6222322Z - node: fx.Node(unsqueeze_347[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6222438Z - aten_name: 2023-07-07T20:05:31.6222557Z - function_overloads: 2023-07-07T20:05:31.6222671Z - onnx_args: 2023-07-07T20:05:31.6222788Z - onnx_kwargs: 2023-07-07T20:05:31.6223091Z - diagnostic_context: 2023-07-07T20:05:31.6223247Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6223522Z [2023-07-07 20:00:29,952] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_348]. 2023-07-07T20:05:31.6223661Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6223666Z 2023-07-07T20:05:31.6223865Z [2023-07-07 20:00:29,952] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6224052Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6224060Z 2023-07-07T20:05:31.6224244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6224509Z - self: 2023-07-07T20:05:31.6224717Z - node: fx.Node(unsqueeze_348[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6224829Z - aten_name: 2023-07-07T20:05:31.6224960Z - function_overloads: 2023-07-07T20:05:31.6225074Z - onnx_args: 2023-07-07T20:05:31.6225189Z - onnx_kwargs: 2023-07-07T20:05:31.6225480Z - diagnostic_context: 2023-07-07T20:05:31.6225637Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6225921Z [2023-07-07 20:00:29,955] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_349]. 2023-07-07T20:05:31.6226062Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6226070Z 2023-07-07T20:05:31.6226321Z [2023-07-07 20:00:29,955] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6226525Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6226533Z 2023-07-07T20:05:31.6226717Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6226982Z - self: 2023-07-07T20:05:31.6227176Z - node: fx.Node(unsqueeze_349[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6227288Z - aten_name: 2023-07-07T20:05:31.6227418Z - function_overloads: 2023-07-07T20:05:31.6227532Z - onnx_args: 2023-07-07T20:05:31.6227708Z - onnx_kwargs: 2023-07-07T20:05:31.6228014Z - diagnostic_context: 2023-07-07T20:05:31.6228197Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6228474Z [2023-07-07 20:00:29,962] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_350]. 2023-07-07T20:05:31.6228631Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6228637Z 2023-07-07T20:05:31.6228836Z [2023-07-07 20:00:29,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6229036Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6229042Z 2023-07-07T20:05:31.6229222Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6229490Z - self: 2023-07-07T20:05:31.6229695Z - node: fx.Node(unsqueeze_350[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6229811Z - aten_name: 2023-07-07T20:05:31.6229946Z - function_overloads: 2023-07-07T20:05:31.6230049Z - onnx_args: 2023-07-07T20:05:31.6230164Z - onnx_kwargs: 2023-07-07T20:05:31.6230466Z - diagnostic_context: 2023-07-07T20:05:31.6230625Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6230903Z [2023-07-07 20:00:29,964] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_351]. 2023-07-07T20:05:31.6231044Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6231050Z 2023-07-07T20:05:31.6231248Z [2023-07-07 20:00:29,965] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6231452Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6231458Z 2023-07-07T20:05:31.6231640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6231898Z - self: 2023-07-07T20:05:31.6232104Z - node: fx.Node(unsqueeze_351[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6232219Z - aten_name: 2023-07-07T20:05:31.6232349Z - function_overloads: 2023-07-07T20:05:31.6232466Z - onnx_args: 2023-07-07T20:05:31.6232581Z - onnx_kwargs: 2023-07-07T20:05:31.6232881Z - diagnostic_context: 2023-07-07T20:05:31.6233026Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6233308Z [2023-07-07 20:00:29,984] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_44]. 2023-07-07T20:05:31.6233453Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6233458Z 2023-07-07T20:05:31.6233654Z [2023-07-07 20:00:29,985] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6233899Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6233905Z 2023-07-07T20:05:31.6234089Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6234356Z - self: 2023-07-07T20:05:31.6234569Z - node: fx.Node(convolution_44[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6234777Z - aten_name: 2023-07-07T20:05:31.6234900Z - function_overloads: 2023-07-07T20:05:31.6235013Z - onnx_args: 2023-07-07T20:05:31.6235130Z - onnx_kwargs: 2023-07-07T20:05:31.6235472Z - diagnostic_context: 2023-07-07T20:05:31.6235687Z - Return value: 2023-07-07T20:05:31.6236004Z [2023-07-07 20:00:30,003] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_44]. 2023-07-07T20:05:31.6236147Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6236377Z [2023-07-07 20:00:30,003] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6236440Z ### Exception log 2023-07-07T20:05:31.6236500Z ``` 2023-07-07T20:05:31.6236599Z Traceback (most recent call last): 2023-07-07T20:05:31.6236605Z 2023-07-07T20:05:31.6236932Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6237055Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6237061Z 2023-07-07T20:05:31.6237324Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6237417Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6237423Z 2023-07-07T20:05:31.6237743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6237827Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6237845Z 2023-07-07T20:05:31.6238089Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6238226Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6238232Z 2023-07-07T20:05:31.6238505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6238638Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6238644Z 2023-07-07T20:05:31.6238972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6239049Z result = op.Conv( 2023-07-07T20:05:31.6239056Z 2023-07-07T20:05:31.6239340Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6239412Z return op( 2023-07-07T20:05:31.6239420Z 2023-07-07T20:05:31.6239676Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6239790Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6239807Z 2023-07-07T20:05:31.6240052Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6240181Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6240186Z 2023-07-07T20:05:31.6240444Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6240567Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6240572Z 2023-07-07T20:05:31.6240872Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6241050Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6241058Z 2023-07-07T20:05:31.6241310Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6241403Z node.attribute.extend( 2023-07-07T20:05:31.6241408Z 2023-07-07T20:05:31.6241657Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6241733Z make_attribute(key, value) 2023-07-07T20:05:31.6241738Z 2023-07-07T20:05:31.6241997Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6242113Z raise ValueError( 2023-07-07T20:05:31.6242119Z 2023-07-07T20:05:31.6242292Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6242326Z 2023-07-07T20:05:31.6242386Z ``` 2023-07-07T20:05:31.6242509Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6242815Z - diagnostic_context: 2023-07-07T20:05:31.6243058Z - node: fx.Node(convolution_44[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6243268Z - symbolic_fn: 2023-07-07T20:05:31.6243373Z - torch_args: 2023-07-07T20:05:31.6243491Z - torch_kwargs: 2023-07-07T20:05:31.6243618Z - Return value: 2023-07-07T20:05:31.6243933Z [2023-07-07 20:00:30,008] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_88]. 2023-07-07T20:05:31.6244094Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6244100Z 2023-07-07T20:05:31.6244296Z [2023-07-07 20:00:30,008] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6244734Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6244742Z 2023-07-07T20:05:31.6244931Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6245191Z - self: 2023-07-07T20:05:31.6245433Z - node: fx.Node(convert_element_type_88[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6245547Z - aten_name: 2023-07-07T20:05:31.6245679Z - function_overloads: 2023-07-07T20:05:31.6245794Z - onnx_args: 2023-07-07T20:05:31.6245911Z - onnx_kwargs: 2023-07-07T20:05:31.6246219Z - diagnostic_context: 2023-07-07T20:05:31.6246404Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6246704Z [2023-07-07 20:00:30,011] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_89]. 2023-07-07T20:05:31.6246862Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6246870Z 2023-07-07T20:05:31.6247066Z [2023-07-07 20:00:30,011] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6247266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6247272Z 2023-07-07T20:05:31.6247452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6247716Z - self: 2023-07-07T20:05:31.6247958Z - node: fx.Node(convert_element_type_89[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6248071Z - aten_name: 2023-07-07T20:05:31.6248202Z - function_overloads: 2023-07-07T20:05:31.6248307Z - onnx_args: 2023-07-07T20:05:31.6248486Z - onnx_kwargs: 2023-07-07T20:05:31.6248794Z - diagnostic_context: 2023-07-07T20:05:31.6248977Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6249235Z [2023-07-07 20:00:30,020] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_44]. 2023-07-07T20:05:31.6249369Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6249558Z [2023-07-07 20:00:30,020] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6249621Z ### Exception log 2023-07-07T20:05:31.6249683Z ``` 2023-07-07T20:05:31.6249779Z Traceback (most recent call last): 2023-07-07T20:05:31.6249822Z 2023-07-07T20:05:31.6250159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6250290Z torch.testing.assert_close( 2023-07-07T20:05:31.6250298Z 2023-07-07T20:05:31.6250585Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6250717Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6250723Z 2023-07-07T20:05:31.6250882Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6250887Z 2023-07-07T20:05:31.6250981Z Mismatched elements: 44 / 96 (45.8%) 2023-07-07T20:05:31.6251104Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.6251242Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6251248Z 2023-07-07T20:05:31.6251309Z ``` 2023-07-07T20:05:31.6251431Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6251743Z - diagnostic_context: 2023-07-07T20:05:31.6251924Z - node: fx.Node(sqrt_44[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6252074Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6252180Z - torch_args: 2023-07-07T20:05:31.6252302Z - torch_kwargs: 2023-07-07T20:05:31.6252435Z - Return value: 2023-07-07T20:05:31.6252698Z [2023-07-07 20:00:30,023] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_44]. 2023-07-07T20:05:31.6252844Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6252849Z 2023-07-07T20:05:31.6253051Z [2023-07-07 20:00:30,023] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6253256Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6253262Z 2023-07-07T20:05:31.6253449Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6253720Z - self: 2023-07-07T20:05:31.6253900Z - node: fx.Node(tensor_int_44[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6254016Z - aten_name: 2023-07-07T20:05:31.6254151Z - function_overloads: 2023-07-07T20:05:31.6254269Z - onnx_args: 2023-07-07T20:05:31.6254388Z - onnx_kwargs: 2023-07-07T20:05:31.6254691Z - diagnostic_context: 2023-07-07T20:05:31.6254851Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6255118Z [2023-07-07 20:00:30,036] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_352]. 2023-07-07T20:05:31.6255263Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6255269Z 2023-07-07T20:05:31.6255470Z [2023-07-07 20:00:30,036] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6255675Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6255717Z 2023-07-07T20:05:31.6255905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6256176Z - self: 2023-07-07T20:05:31.6256385Z - node: fx.Node(unsqueeze_352[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6256501Z - aten_name: 2023-07-07T20:05:31.6256634Z - function_overloads: 2023-07-07T20:05:31.6256737Z - onnx_args: 2023-07-07T20:05:31.6256854Z - onnx_kwargs: 2023-07-07T20:05:31.6257159Z - diagnostic_context: 2023-07-07T20:05:31.6257346Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6257629Z [2023-07-07 20:00:30,039] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_353]. 2023-07-07T20:05:31.6257805Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6257810Z 2023-07-07T20:05:31.6258009Z [2023-07-07 20:00:30,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6258245Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6258251Z 2023-07-07T20:05:31.6258422Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6258687Z - self: 2023-07-07T20:05:31.6258894Z - node: fx.Node(unsqueeze_353[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6259009Z - aten_name: 2023-07-07T20:05:31.6259143Z - function_overloads: 2023-07-07T20:05:31.6259258Z - onnx_args: 2023-07-07T20:05:31.6259379Z - onnx_kwargs: 2023-07-07T20:05:31.6259685Z - diagnostic_context: 2023-07-07T20:05:31.6259831Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6260116Z [2023-07-07 20:00:30,042] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_354]. 2023-07-07T20:05:31.6260324Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6260332Z 2023-07-07T20:05:31.6260630Z [2023-07-07 20:00:30,042] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6260935Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6260943Z 2023-07-07T20:05:31.6261219Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6261628Z - self: 2023-07-07T20:05:31.6261948Z - node: fx.Node(unsqueeze_354[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6262124Z - aten_name: 2023-07-07T20:05:31.6262314Z - function_overloads: 2023-07-07T20:05:31.6262489Z - onnx_args: 2023-07-07T20:05:31.6262667Z - onnx_kwargs: 2023-07-07T20:05:31.6263126Z - diagnostic_context: 2023-07-07T20:05:31.6263362Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6263788Z [2023-07-07 20:00:30,044] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_355]. 2023-07-07T20:05:31.6264003Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6264010Z 2023-07-07T20:05:31.6264296Z [2023-07-07 20:00:30,044] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6264604Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6264612Z 2023-07-07T20:05:31.6264941Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6265350Z - self: 2023-07-07T20:05:31.6265665Z - node: fx.Node(unsqueeze_355[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6265837Z - aten_name: 2023-07-07T20:05:31.6266036Z - function_overloads: 2023-07-07T20:05:31.6266214Z - onnx_args: 2023-07-07T20:05:31.6266378Z - onnx_kwargs: 2023-07-07T20:05:31.6266840Z - diagnostic_context: 2023-07-07T20:05:31.6267078Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6267539Z [2023-07-07 20:00:30,056] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_356]. 2023-07-07T20:05:31.6267756Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6267795Z 2023-07-07T20:05:31.6268099Z [2023-07-07 20:00:30,056] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6268404Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6268455Z 2023-07-07T20:05:31.6268732Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6269136Z - self: 2023-07-07T20:05:31.6269438Z - node: fx.Node(unsqueeze_356[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6269612Z - aten_name: 2023-07-07T20:05:31.6269813Z - function_overloads: 2023-07-07T20:05:31.6269988Z - onnx_args: 2023-07-07T20:05:31.6270171Z - onnx_kwargs: 2023-07-07T20:05:31.6270635Z - diagnostic_context: 2023-07-07T20:05:31.6270879Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6271308Z [2023-07-07 20:00:30,059] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_357]. 2023-07-07T20:05:31.6271512Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6271520Z 2023-07-07T20:05:31.6271814Z [2023-07-07 20:00:30,059] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6272118Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6272127Z 2023-07-07T20:05:31.6272400Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6272814Z - self: 2023-07-07T20:05:31.6273126Z - node: fx.Node(unsqueeze_357[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6273296Z - aten_name: 2023-07-07T20:05:31.6273503Z - function_overloads: 2023-07-07T20:05:31.6273670Z - onnx_args: 2023-07-07T20:05:31.6273850Z - onnx_kwargs: 2023-07-07T20:05:31.6274311Z - diagnostic_context: 2023-07-07T20:05:31.6274553Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6275059Z [2023-07-07 20:00:30,066] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_358]. 2023-07-07T20:05:31.6275271Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6275279Z 2023-07-07T20:05:31.6275578Z [2023-07-07 20:00:30,066] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6275884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6275892Z 2023-07-07T20:05:31.6276168Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6276612Z - self: 2023-07-07T20:05:31.6276926Z - node: fx.Node(unsqueeze_358[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6277101Z - aten_name: 2023-07-07T20:05:31.6277302Z - function_overloads: 2023-07-07T20:05:31.6277479Z - onnx_args: 2023-07-07T20:05:31.6277660Z - onnx_kwargs: 2023-07-07T20:05:31.6278123Z - diagnostic_context: 2023-07-07T20:05:31.6278344Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6278770Z [2023-07-07 20:00:30,068] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_359]. 2023-07-07T20:05:31.6279019Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6279028Z 2023-07-07T20:05:31.6279330Z [2023-07-07 20:00:30,068] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6279671Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6279679Z 2023-07-07T20:05:31.6279986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6280393Z - self: 2023-07-07T20:05:31.6280706Z - node: fx.Node(unsqueeze_359[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6280881Z - aten_name: 2023-07-07T20:05:31.6281069Z - function_overloads: 2023-07-07T20:05:31.6281243Z - onnx_args: 2023-07-07T20:05:31.6281420Z - onnx_kwargs: 2023-07-07T20:05:31.6281884Z - diagnostic_context: 2023-07-07T20:05:31.6282123Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6282559Z [2023-07-07 20:00:30,076] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_45]. 2023-07-07T20:05:31.6282786Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6282796Z 2023-07-07T20:05:31.6283093Z [2023-07-07 20:00:30,076] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6283380Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6283388Z 2023-07-07T20:05:31.6283664Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6284070Z - self: 2023-07-07T20:05:31.6284510Z - node: fx.Node(convolution_45[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6284692Z - aten_name: 2023-07-07T20:05:31.6284892Z - function_overloads: 2023-07-07T20:05:31.6285069Z - onnx_args: 2023-07-07T20:05:31.6285251Z - onnx_kwargs: 2023-07-07T20:05:31.6285703Z - diagnostic_context: 2023-07-07T20:05:31.6286025Z - Return value: 2023-07-07T20:05:31.6286464Z [2023-07-07 20:00:30,087] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_45]. 2023-07-07T20:05:31.6286678Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6286979Z [2023-07-07 20:00:30,087] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6287091Z ### Exception log 2023-07-07T20:05:31.6287184Z ``` 2023-07-07T20:05:31.6287312Z Traceback (most recent call last): 2023-07-07T20:05:31.6287335Z 2023-07-07T20:05:31.6287834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6288017Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6288028Z 2023-07-07T20:05:31.6288491Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6288634Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6288642Z 2023-07-07T20:05:31.6289136Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6289281Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6289288Z 2023-07-07T20:05:31.6289682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6289889Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6289897Z 2023-07-07T20:05:31.6290361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6290551Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6290614Z 2023-07-07T20:05:31.6291112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6291266Z result = op.Conv( 2023-07-07T20:05:31.6291274Z 2023-07-07T20:05:31.6291709Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6291811Z return op( 2023-07-07T20:05:31.6291820Z 2023-07-07T20:05:31.6292204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6292379Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6292385Z 2023-07-07T20:05:31.6292654Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6292785Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6292790Z 2023-07-07T20:05:31.6293056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6293205Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6293224Z 2023-07-07T20:05:31.6293479Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6293652Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6293657Z 2023-07-07T20:05:31.6293906Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6293996Z node.attribute.extend( 2023-07-07T20:05:31.6294001Z 2023-07-07T20:05:31.6294255Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6294344Z make_attribute(key, value) 2023-07-07T20:05:31.6294349Z 2023-07-07T20:05:31.6294607Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6294690Z raise ValueError( 2023-07-07T20:05:31.6294695Z 2023-07-07T20:05:31.6294867Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6294874Z 2023-07-07T20:05:31.6294923Z ``` 2023-07-07T20:05:31.6295044Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6295348Z - diagnostic_context: 2023-07-07T20:05:31.6295562Z - node: fx.Node(convolution_45[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6295771Z - symbolic_fn: 2023-07-07T20:05:31.6295887Z - torch_args: 2023-07-07T20:05:31.6296007Z - torch_kwargs: 2023-07-07T20:05:31.6296122Z - Return value: 2023-07-07T20:05:31.6296434Z [2023-07-07 20:00:30,092] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_90]. 2023-07-07T20:05:31.6296656Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6296665Z 2023-07-07T20:05:31.6296863Z [2023-07-07 20:00:30,092] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6297068Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6297074Z 2023-07-07T20:05:31.6297257Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6297523Z - self: 2023-07-07T20:05:31.6297794Z - node: fx.Node(convert_element_type_90[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6297909Z - aten_name: 2023-07-07T20:05:31.6298030Z - function_overloads: 2023-07-07T20:05:31.6298145Z - onnx_args: 2023-07-07T20:05:31.6298293Z - onnx_kwargs: 2023-07-07T20:05:31.6298599Z - diagnostic_context: 2023-07-07T20:05:31.6298813Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6299123Z [2023-07-07 20:00:30,096] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_91]. 2023-07-07T20:05:31.6299281Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6299287Z 2023-07-07T20:05:31.6299483Z [2023-07-07 20:00:30,096] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6299673Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6299692Z 2023-07-07T20:05:31.6299862Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6300129Z - self: 2023-07-07T20:05:31.6300372Z - node: fx.Node(convert_element_type_91[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6300486Z - aten_name: 2023-07-07T20:05:31.6300616Z - function_overloads: 2023-07-07T20:05:31.6300731Z - onnx_args: 2023-07-07T20:05:31.6300848Z - onnx_kwargs: 2023-07-07T20:05:31.6301137Z - diagnostic_context: 2023-07-07T20:05:31.6301318Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6301569Z [2023-07-07 20:00:30,104] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_45]. 2023-07-07T20:05:31.6301703Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6301887Z [2023-07-07 20:00:30,104] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6301961Z ### Exception log 2023-07-07T20:05:31.6302024Z ``` 2023-07-07T20:05:31.6302118Z Traceback (most recent call last): 2023-07-07T20:05:31.6302126Z 2023-07-07T20:05:31.6302444Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6302541Z torch.testing.assert_close( 2023-07-07T20:05:31.6302546Z 2023-07-07T20:05:31.6302828Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6302920Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6302925Z 2023-07-07T20:05:31.6303081Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6303086Z 2023-07-07T20:05:31.6303178Z Mismatched elements: 41 / 96 (42.7%) 2023-07-07T20:05:31.6303313Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.6303449Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6303456Z 2023-07-07T20:05:31.6303517Z ``` 2023-07-07T20:05:31.6303653Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6303963Z - diagnostic_context: 2023-07-07T20:05:31.6304145Z - node: fx.Node(sqrt_45[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6304288Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6304404Z - torch_args: 2023-07-07T20:05:31.6304523Z - torch_kwargs: 2023-07-07T20:05:31.6304650Z - Return value: 2023-07-07T20:05:31.6304897Z [2023-07-07 20:00:30,107] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_45]. 2023-07-07T20:05:31.6305037Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6305042Z 2023-07-07T20:05:31.6305280Z [2023-07-07 20:00:30,107] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6305486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6305520Z 2023-07-07T20:05:31.6305703Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6305996Z - self: 2023-07-07T20:05:31.6306181Z - node: fx.Node(tensor_int_45[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6306292Z - aten_name: 2023-07-07T20:05:31.6306422Z - function_overloads: 2023-07-07T20:05:31.6306526Z - onnx_args: 2023-07-07T20:05:31.6306642Z - onnx_kwargs: 2023-07-07T20:05:31.6306948Z - diagnostic_context: 2023-07-07T20:05:31.6307108Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6307387Z [2023-07-07 20:00:30,120] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_360]. 2023-07-07T20:05:31.6307531Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6307539Z 2023-07-07T20:05:31.6307736Z [2023-07-07 20:00:30,120] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6307940Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6307946Z 2023-07-07T20:05:31.6308116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6308387Z - self: 2023-07-07T20:05:31.6308594Z - node: fx.Node(unsqueeze_360[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6308708Z - aten_name: 2023-07-07T20:05:31.6308841Z - function_overloads: 2023-07-07T20:05:31.6308957Z - onnx_args: 2023-07-07T20:05:31.6309074Z - onnx_kwargs: 2023-07-07T20:05:31.6309375Z - diagnostic_context: 2023-07-07T20:05:31.6309522Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6309801Z [2023-07-07 20:00:30,123] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_361]. 2023-07-07T20:05:31.6309946Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6309951Z 2023-07-07T20:05:31.6310147Z [2023-07-07 20:00:30,123] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6310351Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6310356Z 2023-07-07T20:05:31.6310540Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6310808Z - self: 2023-07-07T20:05:31.6311012Z - node: fx.Node(unsqueeze_361[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6311115Z - aten_name: 2023-07-07T20:05:31.6311275Z - function_overloads: 2023-07-07T20:05:31.6311393Z - onnx_args: 2023-07-07T20:05:31.6311512Z - onnx_kwargs: 2023-07-07T20:05:31.6311814Z - diagnostic_context: 2023-07-07T20:05:31.6311970Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6312245Z [2023-07-07 20:00:30,126] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_362]. 2023-07-07T20:05:31.6312386Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6312391Z 2023-07-07T20:05:31.6312574Z [2023-07-07 20:00:30,126] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6312809Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6312814Z 2023-07-07T20:05:31.6313030Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6313293Z - self: 2023-07-07T20:05:31.6313526Z - node: fx.Node(unsqueeze_362[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6313638Z - aten_name: 2023-07-07T20:05:31.6313769Z - function_overloads: 2023-07-07T20:05:31.6313885Z - onnx_args: 2023-07-07T20:05:31.6313989Z - onnx_kwargs: 2023-07-07T20:05:31.6314294Z - diagnostic_context: 2023-07-07T20:05:31.6314451Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6314804Z [2023-07-07 20:00:30,128] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_363]. 2023-07-07T20:05:31.6314949Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6314954Z 2023-07-07T20:05:31.6315159Z [2023-07-07 20:00:30,129] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6315363Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6315372Z 2023-07-07T20:05:31.6315556Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6315825Z - self: 2023-07-07T20:05:31.6316019Z - node: fx.Node(unsqueeze_363[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6316133Z - aten_name: 2023-07-07T20:05:31.6316265Z - function_overloads: 2023-07-07T20:05:31.6316382Z - onnx_args: 2023-07-07T20:05:31.6316502Z - onnx_kwargs: 2023-07-07T20:05:31.6316808Z - diagnostic_context: 2023-07-07T20:05:31.6316965Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6317236Z [2023-07-07 20:00:30,139] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_364]. 2023-07-07T20:05:31.6317379Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6317385Z 2023-07-07T20:05:31.6317582Z [2023-07-07 20:00:30,139] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6317786Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6317792Z 2023-07-07T20:05:31.6317975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6318240Z - self: 2023-07-07T20:05:31.6318447Z - node: fx.Node(unsqueeze_364[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6318561Z - aten_name: 2023-07-07T20:05:31.6318696Z - function_overloads: 2023-07-07T20:05:31.6318802Z - onnx_args: 2023-07-07T20:05:31.6318956Z - onnx_kwargs: 2023-07-07T20:05:31.6319263Z - diagnostic_context: 2023-07-07T20:05:31.6319419Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6319697Z [2023-07-07 20:00:30,142] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_365]. 2023-07-07T20:05:31.6319839Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6319845Z 2023-07-07T20:05:31.6320042Z [2023-07-07 20:00:30,142] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6320273Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6320279Z 2023-07-07T20:05:31.6320463Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6320747Z - self: 2023-07-07T20:05:31.6320955Z - node: fx.Node(unsqueeze_365[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6321098Z - aten_name: 2023-07-07T20:05:31.6321229Z - function_overloads: 2023-07-07T20:05:31.6321347Z - onnx_args: 2023-07-07T20:05:31.6321469Z - onnx_kwargs: 2023-07-07T20:05:31.6321775Z - diagnostic_context: 2023-07-07T20:05:31.6321919Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6322200Z [2023-07-07 20:00:30,149] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_366]. 2023-07-07T20:05:31.6322347Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6322353Z 2023-07-07T20:05:31.6322554Z [2023-07-07 20:00:30,149] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6322761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6322766Z 2023-07-07T20:05:31.6322951Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6323221Z - self: 2023-07-07T20:05:31.6323426Z - node: fx.Node(unsqueeze_366[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6323542Z - aten_name: 2023-07-07T20:05:31.6323662Z - function_overloads: 2023-07-07T20:05:31.6323777Z - onnx_args: 2023-07-07T20:05:31.6323895Z - onnx_kwargs: 2023-07-07T20:05:31.6324199Z - diagnostic_context: 2023-07-07T20:05:31.6324357Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6324806Z [2023-07-07 20:00:30,152] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_367]. 2023-07-07T20:05:31.6324955Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6324961Z 2023-07-07T20:05:31.6325159Z [2023-07-07 20:00:30,152] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6325350Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6325355Z 2023-07-07T20:05:31.6325537Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6325805Z - self: 2023-07-07T20:05:31.6326011Z - node: fx.Node(unsqueeze_367[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6326127Z - aten_name: 2023-07-07T20:05:31.6326260Z - function_overloads: 2023-07-07T20:05:31.6326376Z - onnx_args: 2023-07-07T20:05:31.6326491Z - onnx_kwargs: 2023-07-07T20:05:31.6326846Z - diagnostic_context: 2023-07-07T20:05:31.6327006Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6327261Z [2023-07-07 20:00:30,168] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_12]. 2023-07-07T20:05:31.6327395Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6327401Z 2023-07-07T20:05:31.6327597Z [2023-07-07 20:00:30,168] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6327798Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6327804Z 2023-07-07T20:05:31.6328023Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6328295Z - self: 2023-07-07T20:05:31.6328457Z - node: fx.Node(cat_12[call_function]'aten.cat.default') 2023-07-07T20:05:31.6328615Z - aten_name: 2023-07-07T20:05:31.6328747Z - function_overloads: 2023-07-07T20:05:31.6328903Z - onnx_args: 2023-07-07T20:05:31.6329018Z - onnx_kwargs: 2023-07-07T20:05:31.6329320Z - diagnostic_context: 2023-07-07T20:05:31.6329460Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.6329703Z [2023-07-07 20:00:30,172] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_4]. 2023-07-07T20:05:31.6329830Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6329836Z 2023-07-07T20:05:31.6330031Z [2023-07-07 20:00:30,172] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6330235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6330241Z 2023-07-07T20:05:31.6330425Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6330693Z - self: 2023-07-07T20:05:31.6330868Z - node: fx.Node(sym_size_4[call_function]'aten.sym_size') 2023-07-07T20:05:31.6330981Z - aten_name: 2023-07-07T20:05:31.6331111Z - function_overloads: 2023-07-07T20:05:31.6331213Z - onnx_args: 2023-07-07T20:05:31.6331328Z - onnx_kwargs: 2023-07-07T20:05:31.6331633Z - diagnostic_context: 2023-07-07T20:05:31.6331787Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.6332031Z [2023-07-07 20:00:30,174] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_5]. 2023-07-07T20:05:31.6332170Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6332175Z 2023-07-07T20:05:31.6332376Z [2023-07-07 20:00:30,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6332578Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6332587Z 2023-07-07T20:05:31.6332766Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6333018Z - self: 2023-07-07T20:05:31.6333190Z - node: fx.Node(sym_size_5[call_function]'aten.sym_size') 2023-07-07T20:05:31.6333301Z - aten_name: 2023-07-07T20:05:31.6333432Z - function_overloads: 2023-07-07T20:05:31.6333548Z - onnx_args: 2023-07-07T20:05:31.6333663Z - onnx_kwargs: 2023-07-07T20:05:31.6333964Z - diagnostic_context: 2023-07-07T20:05:31.6334103Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.6334404Z [2023-07-07 20:00:30,180] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_12]. 2023-07-07T20:05:31.6334549Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6334557Z 2023-07-07T20:05:31.6334753Z [2023-07-07 20:00:30,180] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6334953Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6334958Z 2023-07-07T20:05:31.6335141Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6335407Z - self: 2023-07-07T20:05:31.6335627Z - node: fx.Node(transpose_12[call_function]'aten.transpose.int') 2023-07-07T20:05:31.6335742Z - aten_name: 2023-07-07T20:05:31.6335860Z - function_overloads: 2023-07-07T20:05:31.6336002Z - onnx_args: 2023-07-07T20:05:31.6336120Z - onnx_kwargs: 2023-07-07T20:05:31.6336420Z - diagnostic_context: 2023-07-07T20:05:31.6336662Z - Return value: 2023-07-07T20:05:31.6336917Z [2023-07-07 20:00:30,184] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_12]. 2023-07-07T20:05:31.6337052Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6337058Z 2023-07-07T20:05:31.6337253Z [2023-07-07 20:00:30,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6337441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6337449Z 2023-07-07T20:05:31.6337630Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6337893Z - self: 2023-07-07T20:05:31.6338080Z - node: fx.Node(clone_12[call_function]'aten.clone.default') 2023-07-07T20:05:31.6338193Z - aten_name: 2023-07-07T20:05:31.6338327Z - function_overloads: 2023-07-07T20:05:31.6338441Z - onnx_args: 2023-07-07T20:05:31.6338555Z - onnx_kwargs: 2023-07-07T20:05:31.6338846Z - diagnostic_context: 2023-07-07T20:05:31.6338997Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.6339250Z [2023-07-07 20:00:30,192] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_10]. 2023-07-07T20:05:31.6339383Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6339390Z 2023-07-07T20:05:31.6339585Z [2023-07-07 20:00:30,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6339785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6339798Z 2023-07-07T20:05:31.6339979Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6340250Z - self: 2023-07-07T20:05:31.6340421Z - node: fx.Node(split_10[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.6340533Z - aten_name: 2023-07-07T20:05:31.6340663Z - function_overloads: 2023-07-07T20:05:31.6340777Z - onnx_args: 2023-07-07T20:05:31.6340893Z - onnx_kwargs: 2023-07-07T20:05:31.6341194Z - diagnostic_context: 2023-07-07T20:05:31.6341343Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.6341611Z [2023-07-07 20:00:30,197] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_22]. 2023-07-07T20:05:31.6341772Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6341779Z 2023-07-07T20:05:31.6341975Z [2023-07-07 20:00:30,197] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6342176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6342182Z 2023-07-07T20:05:31.6342364Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6342629Z - self: 2023-07-07T20:05:31.6342832Z - node: fx.Node(getitem_22[call_function]'') 2023-07-07T20:05:31.6342944Z - aten_name: 2023-07-07T20:05:31.6343103Z - function_overloads: 2023-07-07T20:05:31.6343206Z - onnx_args: 2023-07-07T20:05:31.6343323Z - onnx_kwargs: 2023-07-07T20:05:31.6343625Z - diagnostic_context: 2023-07-07T20:05:31.6343808Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.6344082Z [2023-07-07 20:00:30,198] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_23]. 2023-07-07T20:05:31.6344245Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6344250Z 2023-07-07T20:05:31.6344447Z [2023-07-07 20:00:30,198] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6344647Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6344652Z 2023-07-07T20:05:31.6344832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6345091Z - self: 2023-07-07T20:05:31.6345292Z - node: fx.Node(getitem_23[call_function]'') 2023-07-07T20:05:31.6345408Z - aten_name: 2023-07-07T20:05:31.6345541Z - function_overloads: 2023-07-07T20:05:31.6345654Z - onnx_args: 2023-07-07T20:05:31.6345771Z - onnx_kwargs: 2023-07-07T20:05:31.6346073Z - diagnostic_context: 2023-07-07T20:05:31.6346212Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.6346496Z [2023-07-07 20:00:30,200] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_46]. 2023-07-07T20:05:31.6346640Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6346646Z 2023-07-07T20:05:31.6346840Z [2023-07-07 20:00:30,200] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6347039Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6347045Z 2023-07-07T20:05:31.6347230Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6347497Z - self: 2023-07-07T20:05:31.6347714Z - node: fx.Node(convolution_46[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6347826Z - aten_name: 2023-07-07T20:05:31.6347945Z - function_overloads: 2023-07-07T20:05:31.6348058Z - onnx_args: 2023-07-07T20:05:31.6348174Z - onnx_kwargs: 2023-07-07T20:05:31.6348472Z - diagnostic_context: 2023-07-07T20:05:31.6348683Z - Return value: 2023-07-07T20:05:31.6348967Z [2023-07-07 20:00:30,216] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_46]. 2023-07-07T20:05:31.6349110Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6349344Z [2023-07-07 20:00:30,216] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6349408Z ### Exception log 2023-07-07T20:05:31.6349468Z ``` 2023-07-07T20:05:31.6349565Z Traceback (most recent call last): 2023-07-07T20:05:31.6349570Z 2023-07-07T20:05:31.6349900Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6350021Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6350027Z 2023-07-07T20:05:31.6350289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6350384Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6350389Z 2023-07-07T20:05:31.6350737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6350822Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6350864Z 2023-07-07T20:05:31.6351112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6351296Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6351301Z 2023-07-07T20:05:31.6351576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6351710Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6351715Z 2023-07-07T20:05:31.6352040Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6352116Z result = op.Conv( 2023-07-07T20:05:31.6352121Z 2023-07-07T20:05:31.6352409Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6352480Z return op( 2023-07-07T20:05:31.6352487Z 2023-07-07T20:05:31.6352743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6352858Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6352880Z 2023-07-07T20:05:31.6353125Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6353255Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6353260Z 2023-07-07T20:05:31.6353520Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6353642Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6353648Z 2023-07-07T20:05:31.6353917Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6354097Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6354104Z 2023-07-07T20:05:31.6354359Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6354451Z node.attribute.extend( 2023-07-07T20:05:31.6354459Z 2023-07-07T20:05:31.6354794Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6354872Z make_attribute(key, value) 2023-07-07T20:05:31.6354878Z 2023-07-07T20:05:31.6355144Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6355222Z raise ValueError( 2023-07-07T20:05:31.6355227Z 2023-07-07T20:05:31.6355401Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6355406Z 2023-07-07T20:05:31.6355473Z ``` 2023-07-07T20:05:31.6355597Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6355905Z - diagnostic_context: 2023-07-07T20:05:31.6356162Z - node: fx.Node(convolution_46[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6356359Z - symbolic_fn: 2023-07-07T20:05:31.6356477Z - torch_args: 2023-07-07T20:05:31.6356598Z - torch_kwargs: 2023-07-07T20:05:31.6356730Z - Return value: 2023-07-07T20:05:31.6357045Z [2023-07-07 20:00:30,221] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_92]. 2023-07-07T20:05:31.6357207Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6357213Z 2023-07-07T20:05:31.6357448Z [2023-07-07 20:00:30,221] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6357796Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6357806Z 2023-07-07T20:05:31.6358115Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6358510Z - self: 2023-07-07T20:05:31.6358912Z - node: fx.Node(convert_element_type_92[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6359084Z - aten_name: 2023-07-07T20:05:31.6359286Z - function_overloads: 2023-07-07T20:05:31.6359461Z - onnx_args: 2023-07-07T20:05:31.6359639Z - onnx_kwargs: 2023-07-07T20:05:31.6360099Z - diagnostic_context: 2023-07-07T20:05:31.6360377Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6360842Z [2023-07-07 20:00:30,224] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_93]. 2023-07-07T20:05:31.6361079Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6361090Z 2023-07-07T20:05:31.6361391Z [2023-07-07 20:00:30,224] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6361699Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6361707Z 2023-07-07T20:05:31.6361982Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6362383Z - self: 2023-07-07T20:05:31.6362748Z - node: fx.Node(convert_element_type_93[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6362919Z - aten_name: 2023-07-07T20:05:31.6363109Z - function_overloads: 2023-07-07T20:05:31.6363285Z - onnx_args: 2023-07-07T20:05:31.6363461Z - onnx_kwargs: 2023-07-07T20:05:31.6363914Z - diagnostic_context: 2023-07-07T20:05:31.6364193Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6364686Z [2023-07-07 20:00:30,233] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_46]. 2023-07-07T20:05:31.6364887Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6365171Z [2023-07-07 20:00:30,233] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6365270Z ### Exception log 2023-07-07T20:05:31.6365364Z ``` 2023-07-07T20:05:31.6365508Z Traceback (most recent call last): 2023-07-07T20:05:31.6365516Z 2023-07-07T20:05:31.6366026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6366174Z torch.testing.assert_close( 2023-07-07T20:05:31.6366182Z 2023-07-07T20:05:31.6366614Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6366822Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6366830Z 2023-07-07T20:05:31.6367067Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6367077Z 2023-07-07T20:05:31.6367216Z Mismatched elements: 56 / 96 (58.3%) 2023-07-07T20:05:31.6367404Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.6367604Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6367611Z 2023-07-07T20:05:31.6367703Z ``` 2023-07-07T20:05:31.6367884Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6368350Z - diagnostic_context: 2023-07-07T20:05:31.6368663Z - node: fx.Node(sqrt_46[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6368882Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6369048Z - torch_args: 2023-07-07T20:05:31.6369230Z - torch_kwargs: 2023-07-07T20:05:31.6369461Z - Return value: 2023-07-07T20:05:31.6369853Z [2023-07-07 20:00:30,236] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_46]. 2023-07-07T20:05:31.6370102Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6370110Z 2023-07-07T20:05:31.6370406Z [2023-07-07 20:00:30,236] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6370710Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6370719Z 2023-07-07T20:05:31.6370993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6371402Z - self: 2023-07-07T20:05:31.6371674Z - node: fx.Node(tensor_int_46[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6371843Z - aten_name: 2023-07-07T20:05:31.6372047Z - function_overloads: 2023-07-07T20:05:31.6372226Z - onnx_args: 2023-07-07T20:05:31.6372405Z - onnx_kwargs: 2023-07-07T20:05:31.6372871Z - diagnostic_context: 2023-07-07T20:05:31.6373110Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6373516Z [2023-07-07 20:00:30,249] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_368]. 2023-07-07T20:05:31.6373733Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6373741Z 2023-07-07T20:05:31.6374033Z [2023-07-07 20:00:30,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6374339Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6374347Z 2023-07-07T20:05:31.6374626Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6375036Z - self: 2023-07-07T20:05:31.6375300Z - node: fx.Node(unsqueeze_368[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6375419Z - aten_name: 2023-07-07T20:05:31.6375550Z - function_overloads: 2023-07-07T20:05:31.6375653Z - onnx_args: 2023-07-07T20:05:31.6375771Z - onnx_kwargs: 2023-07-07T20:05:31.6376075Z - diagnostic_context: 2023-07-07T20:05:31.6376233Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6376516Z [2023-07-07 20:00:30,252] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_369]. 2023-07-07T20:05:31.6376662Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6376668Z 2023-07-07T20:05:31.6376866Z [2023-07-07 20:00:30,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6377113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6377122Z 2023-07-07T20:05:31.6377291Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6377560Z - self: 2023-07-07T20:05:31.6377766Z - node: fx.Node(unsqueeze_369[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6377881Z - aten_name: 2023-07-07T20:05:31.6378015Z - function_overloads: 2023-07-07T20:05:31.6378131Z - onnx_args: 2023-07-07T20:05:31.6378248Z - onnx_kwargs: 2023-07-07T20:05:31.6378586Z - diagnostic_context: 2023-07-07T20:05:31.6378733Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6379016Z [2023-07-07 20:00:30,254] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_370]. 2023-07-07T20:05:31.6379187Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6379228Z 2023-07-07T20:05:31.6379429Z [2023-07-07 20:00:30,255] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6379629Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6379635Z 2023-07-07T20:05:31.6379819Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6380088Z - self: 2023-07-07T20:05:31.6380294Z - node: fx.Node(unsqueeze_370[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6380396Z - aten_name: 2023-07-07T20:05:31.6380529Z - function_overloads: 2023-07-07T20:05:31.6380645Z - onnx_args: 2023-07-07T20:05:31.6380765Z - onnx_kwargs: 2023-07-07T20:05:31.6381076Z - diagnostic_context: 2023-07-07T20:05:31.6381235Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6381514Z [2023-07-07 20:00:30,257] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_371]. 2023-07-07T20:05:31.6381657Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6381663Z 2023-07-07T20:05:31.6381846Z [2023-07-07 20:00:30,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6382047Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6382054Z 2023-07-07T20:05:31.6382239Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6382507Z - self: 2023-07-07T20:05:31.6382718Z - node: fx.Node(unsqueeze_371[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6382835Z - aten_name: 2023-07-07T20:05:31.6382970Z - function_overloads: 2023-07-07T20:05:31.6383087Z - onnx_args: 2023-07-07T20:05:31.6383191Z - onnx_kwargs: 2023-07-07T20:05:31.6383495Z - diagnostic_context: 2023-07-07T20:05:31.6383653Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6383932Z [2023-07-07 20:00:30,268] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_372]. 2023-07-07T20:05:31.6384071Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6384077Z 2023-07-07T20:05:31.6384276Z [2023-07-07 20:00:30,268] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6384481Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6384488Z 2023-07-07T20:05:31.6384704Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6384971Z - self: 2023-07-07T20:05:31.6385163Z - node: fx.Node(unsqueeze_372[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6385275Z - aten_name: 2023-07-07T20:05:31.6385408Z - function_overloads: 2023-07-07T20:05:31.6385525Z - onnx_args: 2023-07-07T20:05:31.6385643Z - onnx_kwargs: 2023-07-07T20:05:31.6385949Z - diagnostic_context: 2023-07-07T20:05:31.6386142Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6386408Z [2023-07-07 20:00:30,271] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_373]. 2023-07-07T20:05:31.6386580Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6386588Z 2023-07-07T20:05:31.6386784Z [2023-07-07 20:00:30,271] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6387023Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6387028Z 2023-07-07T20:05:31.6387208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6387474Z - self: 2023-07-07T20:05:31.6387679Z - node: fx.Node(unsqueeze_373[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6387792Z - aten_name: 2023-07-07T20:05:31.6387925Z - function_overloads: 2023-07-07T20:05:31.6388029Z - onnx_args: 2023-07-07T20:05:31.6388144Z - onnx_kwargs: 2023-07-07T20:05:31.6388447Z - diagnostic_context: 2023-07-07T20:05:31.6388606Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6388881Z [2023-07-07 20:00:30,278] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_374]. 2023-07-07T20:05:31.6389023Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6389028Z 2023-07-07T20:05:31.6389224Z [2023-07-07 20:00:30,278] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6389425Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6389430Z 2023-07-07T20:05:31.6389611Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6389867Z - self: 2023-07-07T20:05:31.6390069Z - node: fx.Node(unsqueeze_374[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6390183Z - aten_name: 2023-07-07T20:05:31.6390317Z - function_overloads: 2023-07-07T20:05:31.6390431Z - onnx_args: 2023-07-07T20:05:31.6390550Z - onnx_kwargs: 2023-07-07T20:05:31.6390852Z - diagnostic_context: 2023-07-07T20:05:31.6390996Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6391269Z [2023-07-07 20:00:30,281] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_375]. 2023-07-07T20:05:31.6391407Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6391413Z 2023-07-07T20:05:31.6391608Z [2023-07-07 20:00:30,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6391809Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6391815Z 2023-07-07T20:05:31.6392036Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6392306Z - self: 2023-07-07T20:05:31.6392514Z - node: fx.Node(unsqueeze_375[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6392626Z - aten_name: 2023-07-07T20:05:31.6392746Z - function_overloads: 2023-07-07T20:05:31.6392858Z - onnx_args: 2023-07-07T20:05:31.6392973Z - onnx_kwargs: 2023-07-07T20:05:31.6393276Z - diagnostic_context: 2023-07-07T20:05:31.6393432Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6393751Z [2023-07-07 20:00:30,297] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_47]. 2023-07-07T20:05:31.6393897Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6393903Z 2023-07-07T20:05:31.6394127Z [2023-07-07 20:00:30,298] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6394317Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6394349Z 2023-07-07T20:05:31.6394529Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6394882Z - self: 2023-07-07T20:05:31.6395100Z - node: fx.Node(convolution_47[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6395214Z - aten_name: 2023-07-07T20:05:31.6395348Z - function_overloads: 2023-07-07T20:05:31.6395465Z - onnx_args: 2023-07-07T20:05:31.6395584Z - onnx_kwargs: 2023-07-07T20:05:31.6395876Z - diagnostic_context: 2023-07-07T20:05:31.6396088Z - Return value: 2023-07-07T20:05:31.6396377Z [2023-07-07 20:00:30,303] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_47]. 2023-07-07T20:05:31.6396521Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6396722Z [2023-07-07 20:00:30,304] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6396795Z ### Exception log 2023-07-07T20:05:31.6396855Z ``` 2023-07-07T20:05:31.6396939Z Traceback (most recent call last): 2023-07-07T20:05:31.6396956Z 2023-07-07T20:05:31.6397275Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6397398Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6397407Z 2023-07-07T20:05:31.6397669Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6397768Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6397774Z 2023-07-07T20:05:31.6398091Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6398186Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6398192Z 2023-07-07T20:05:31.6398449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6398584Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6398590Z 2023-07-07T20:05:31.6398862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6398984Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6399004Z 2023-07-07T20:05:31.6399316Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6399394Z result = op.Conv( 2023-07-07T20:05:31.6399399Z 2023-07-07T20:05:31.6399720Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6399795Z return op( 2023-07-07T20:05:31.6399801Z 2023-07-07T20:05:31.6400060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6400185Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6400190Z 2023-07-07T20:05:31.6400447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6400575Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6400581Z 2023-07-07T20:05:31.6400870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6400983Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6401013Z 2023-07-07T20:05:31.6401283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6401487Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6401492Z 2023-07-07T20:05:31.6401746Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6401838Z node.attribute.extend( 2023-07-07T20:05:31.6401844Z 2023-07-07T20:05:31.6402095Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6402184Z make_attribute(key, value) 2023-07-07T20:05:31.6402190Z 2023-07-07T20:05:31.6402452Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6402530Z raise ValueError( 2023-07-07T20:05:31.6402535Z 2023-07-07T20:05:31.6402707Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6402716Z 2023-07-07T20:05:31.6402765Z ``` 2023-07-07T20:05:31.6402884Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6403192Z - diagnostic_context: 2023-07-07T20:05:31.6403407Z - node: fx.Node(convolution_47[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6403616Z - symbolic_fn: 2023-07-07T20:05:31.6403733Z - torch_args: 2023-07-07T20:05:31.6403852Z - torch_kwargs: 2023-07-07T20:05:31.6403968Z - Return value: 2023-07-07T20:05:31.6404279Z [2023-07-07 20:00:30,308] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_94]. 2023-07-07T20:05:31.6404602Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6404609Z 2023-07-07T20:05:31.6404822Z [2023-07-07 20:00:30,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6405026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6405034Z 2023-07-07T20:05:31.6405218Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6405485Z - self: 2023-07-07T20:05:31.6405727Z - node: fx.Node(convert_element_type_94[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6405842Z - aten_name: 2023-07-07T20:05:31.6405961Z - function_overloads: 2023-07-07T20:05:31.6406078Z - onnx_args: 2023-07-07T20:05:31.6406197Z - onnx_kwargs: 2023-07-07T20:05:31.6406503Z - diagnostic_context: 2023-07-07T20:05:31.6406689Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6407073Z [2023-07-07 20:00:30,312] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_95]. 2023-07-07T20:05:31.6407236Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6407242Z 2023-07-07T20:05:31.6407438Z [2023-07-07 20:00:30,312] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6407624Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6407647Z 2023-07-07T20:05:31.6407816Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6408123Z - self: 2023-07-07T20:05:31.6408366Z - node: fx.Node(convert_element_type_95[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6408517Z - aten_name: 2023-07-07T20:05:31.6408653Z - function_overloads: 2023-07-07T20:05:31.6408768Z - onnx_args: 2023-07-07T20:05:31.6408884Z - onnx_kwargs: 2023-07-07T20:05:31.6409210Z - diagnostic_context: 2023-07-07T20:05:31.6409395Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6409646Z [2023-07-07 20:00:30,320] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_47]. 2023-07-07T20:05:31.6409778Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6409964Z [2023-07-07 20:00:30,320] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6410039Z ### Exception log 2023-07-07T20:05:31.6410099Z ``` 2023-07-07T20:05:31.6410199Z Traceback (most recent call last): 2023-07-07T20:05:31.6410206Z 2023-07-07T20:05:31.6410521Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6410623Z torch.testing.assert_close( 2023-07-07T20:05:31.6410628Z 2023-07-07T20:05:31.6410914Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6411006Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6411011Z 2023-07-07T20:05:31.6411167Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6411173Z 2023-07-07T20:05:31.6411264Z Mismatched elements: 49 / 96 (51.0%) 2023-07-07T20:05:31.6411401Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.6411537Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6411542Z 2023-07-07T20:05:31.6411600Z ``` 2023-07-07T20:05:31.6411711Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6412017Z - diagnostic_context: 2023-07-07T20:05:31.6412201Z - node: fx.Node(sqrt_47[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6412342Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6412462Z - torch_args: 2023-07-07T20:05:31.6412581Z - torch_kwargs: 2023-07-07T20:05:31.6412708Z - Return value: 2023-07-07T20:05:31.6412951Z [2023-07-07 20:00:30,324] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_47]. 2023-07-07T20:05:31.6413091Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6413096Z 2023-07-07T20:05:31.6413290Z [2023-07-07 20:00:30,324] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6413495Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6413501Z 2023-07-07T20:05:31.6413683Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6413994Z - self: 2023-07-07T20:05:31.6414183Z - node: fx.Node(tensor_int_47[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6414298Z - aten_name: 2023-07-07T20:05:31.6414429Z - function_overloads: 2023-07-07T20:05:31.6414532Z - onnx_args: 2023-07-07T20:05:31.6414646Z - onnx_kwargs: 2023-07-07T20:05:31.6414947Z - diagnostic_context: 2023-07-07T20:05:31.6415105Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6415381Z [2023-07-07 20:00:30,336] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_376]. 2023-07-07T20:05:31.6415568Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6415574Z 2023-07-07T20:05:31.6415771Z [2023-07-07 20:00:30,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6416025Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6416031Z 2023-07-07T20:05:31.6416229Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6416494Z - self: 2023-07-07T20:05:31.6416700Z - node: fx.Node(unsqueeze_376[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6416813Z - aten_name: 2023-07-07T20:05:31.6416946Z - function_overloads: 2023-07-07T20:05:31.6417063Z - onnx_args: 2023-07-07T20:05:31.6417178Z - onnx_kwargs: 2023-07-07T20:05:31.6417474Z - diagnostic_context: 2023-07-07T20:05:31.6417634Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6417912Z [2023-07-07 20:00:30,339] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_377]. 2023-07-07T20:05:31.6418062Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6418070Z 2023-07-07T20:05:31.6418267Z [2023-07-07 20:00:30,339] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6418470Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6418476Z 2023-07-07T20:05:31.6418663Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6418931Z - self: 2023-07-07T20:05:31.6419137Z - node: fx.Node(unsqueeze_377[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6419240Z - aten_name: 2023-07-07T20:05:31.6419371Z - function_overloads: 2023-07-07T20:05:31.6419485Z - onnx_args: 2023-07-07T20:05:31.6419604Z - onnx_kwargs: 2023-07-07T20:05:31.6419913Z - diagnostic_context: 2023-07-07T20:05:31.6420071Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6420348Z [2023-07-07 20:00:30,342] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_378]. 2023-07-07T20:05:31.6420489Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6420494Z 2023-07-07T20:05:31.6420682Z [2023-07-07 20:00:30,342] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6420880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6420890Z 2023-07-07T20:05:31.6421075Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6421339Z - self: 2023-07-07T20:05:31.6421585Z - node: fx.Node(unsqueeze_378[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6421699Z - aten_name: 2023-07-07T20:05:31.6421833Z - function_overloads: 2023-07-07T20:05:31.6421948Z - onnx_args: 2023-07-07T20:05:31.6422052Z - onnx_kwargs: 2023-07-07T20:05:31.6422353Z - diagnostic_context: 2023-07-07T20:05:31.6422510Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6422790Z [2023-07-07 20:00:30,345] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_379]. 2023-07-07T20:05:31.6422929Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6422935Z 2023-07-07T20:05:31.6423168Z [2023-07-07 20:00:30,345] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6423371Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6423407Z 2023-07-07T20:05:31.6423593Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6423891Z - self: 2023-07-07T20:05:31.6424084Z - node: fx.Node(unsqueeze_379[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6424196Z - aten_name: 2023-07-07T20:05:31.6424328Z - function_overloads: 2023-07-07T20:05:31.6424447Z - onnx_args: 2023-07-07T20:05:31.6424563Z - onnx_kwargs: 2023-07-07T20:05:31.6424866Z - diagnostic_context: 2023-07-07T20:05:31.6425024Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6425287Z [2023-07-07 20:00:30,356] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_380]. 2023-07-07T20:05:31.6425431Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6425439Z 2023-07-07T20:05:31.6425636Z [2023-07-07 20:00:30,356] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6425838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6425844Z 2023-07-07T20:05:31.6426027Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6426293Z - self: 2023-07-07T20:05:31.6426497Z - node: fx.Node(unsqueeze_380[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6426608Z - aten_name: 2023-07-07T20:05:31.6426739Z - function_overloads: 2023-07-07T20:05:31.6426843Z - onnx_args: 2023-07-07T20:05:31.6426958Z - onnx_kwargs: 2023-07-07T20:05:31.6427261Z - diagnostic_context: 2023-07-07T20:05:31.6427419Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6427696Z [2023-07-07 20:00:30,359] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_381]. 2023-07-07T20:05:31.6427838Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6427844Z 2023-07-07T20:05:31.6428039Z [2023-07-07 20:00:30,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6428242Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6428248Z 2023-07-07T20:05:31.6428418Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6428685Z - self: 2023-07-07T20:05:31.6428887Z - node: fx.Node(unsqueeze_381[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6429001Z - aten_name: 2023-07-07T20:05:31.6429170Z - function_overloads: 2023-07-07T20:05:31.6429287Z - onnx_args: 2023-07-07T20:05:31.6429404Z - onnx_kwargs: 2023-07-07T20:05:31.6429737Z - diagnostic_context: 2023-07-07T20:05:31.6429961Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6430379Z [2023-07-07 20:00:30,365] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_382]. 2023-07-07T20:05:31.6430593Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6430603Z 2023-07-07T20:05:31.6430902Z [2023-07-07 20:00:30,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6431240Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6431249Z 2023-07-07T20:05:31.6431526Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6431970Z - self: 2023-07-07T20:05:31.6432318Z - node: fx.Node(unsqueeze_382[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6432494Z - aten_name: 2023-07-07T20:05:31.6432680Z - function_overloads: 2023-07-07T20:05:31.6432855Z - onnx_args: 2023-07-07T20:05:31.6433033Z - onnx_kwargs: 2023-07-07T20:05:31.6433494Z - diagnostic_context: 2023-07-07T20:05:31.6433730Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6434162Z [2023-07-07 20:00:30,368] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_383]. 2023-07-07T20:05:31.6434376Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6434383Z 2023-07-07T20:05:31.6434751Z [2023-07-07 20:00:30,368] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6435056Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6435066Z 2023-07-07T20:05:31.6435344Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6435750Z - self: 2023-07-07T20:05:31.6436062Z - node: fx.Node(unsqueeze_383[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6436234Z - aten_name: 2023-07-07T20:05:31.6436438Z - function_overloads: 2023-07-07T20:05:31.6436615Z - onnx_args: 2023-07-07T20:05:31.6436781Z - onnx_kwargs: 2023-07-07T20:05:31.6437243Z - diagnostic_context: 2023-07-07T20:05:31.6437480Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6437925Z [2023-07-07 20:00:30,376] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_48]. 2023-07-07T20:05:31.6438141Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6438151Z 2023-07-07T20:05:31.6438448Z [2023-07-07 20:00:30,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6438750Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6438758Z 2023-07-07T20:05:31.6439035Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6439441Z - self: 2023-07-07T20:05:31.6439758Z - node: fx.Node(convolution_48[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6439931Z - aten_name: 2023-07-07T20:05:31.6440127Z - function_overloads: 2023-07-07T20:05:31.6440302Z - onnx_args: 2023-07-07T20:05:31.6440531Z - onnx_kwargs: 2023-07-07T20:05:31.6440998Z - diagnostic_context: 2023-07-07T20:05:31.6441324Z - Return value: 2023-07-07T20:05:31.6441761Z [2023-07-07 20:00:30,382] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_48]. 2023-07-07T20:05:31.6441962Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6442264Z [2023-07-07 20:00:30,382] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6442378Z ### Exception log 2023-07-07T20:05:31.6442470Z ``` 2023-07-07T20:05:31.6442617Z Traceback (most recent call last): 2023-07-07T20:05:31.6442657Z 2023-07-07T20:05:31.6443163Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6443384Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6443393Z 2023-07-07T20:05:31.6443790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6443958Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6443966Z 2023-07-07T20:05:31.6444576Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6444722Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6444730Z 2023-07-07T20:05:31.6445131Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6445340Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6445348Z 2023-07-07T20:05:31.6445769Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6445978Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6445986Z 2023-07-07T20:05:31.6446492Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6446609Z result = op.Conv( 2023-07-07T20:05:31.6446617Z 2023-07-07T20:05:31.6447049Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6447139Z return op( 2023-07-07T20:05:31.6447147Z 2023-07-07T20:05:31.6447538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6447729Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6447736Z 2023-07-07T20:05:31.6448139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6448334Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6448344Z 2023-07-07T20:05:31.6448785Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6448971Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6448979Z 2023-07-07T20:05:31.6449388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6449647Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6449655Z 2023-07-07T20:05:31.6450038Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6450162Z node.attribute.extend( 2023-07-07T20:05:31.6450170Z 2023-07-07T20:05:31.6450558Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6450693Z make_attribute(key, value) 2023-07-07T20:05:31.6450704Z 2023-07-07T20:05:31.6451187Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6451303Z raise ValueError( 2023-07-07T20:05:31.6451313Z 2023-07-07T20:05:31.6451573Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6451580Z 2023-07-07T20:05:31.6451671Z ``` 2023-07-07T20:05:31.6451853Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6452322Z - diagnostic_context: 2023-07-07T20:05:31.6452637Z - node: fx.Node(convolution_48[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6452954Z - symbolic_fn: 2023-07-07T20:05:31.6453175Z - torch_args: 2023-07-07T20:05:31.6453364Z - torch_kwargs: 2023-07-07T20:05:31.6453560Z - Return value: 2023-07-07T20:05:31.6454089Z [2023-07-07 20:00:30,387] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_96]. 2023-07-07T20:05:31.6454330Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6454382Z 2023-07-07T20:05:31.6454686Z [2023-07-07 20:00:30,387] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6454977Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6454985Z 2023-07-07T20:05:31.6455263Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6455672Z - self: 2023-07-07T20:05:31.6456049Z - node: fx.Node(convert_element_type_96[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6456224Z - aten_name: 2023-07-07T20:05:31.6456427Z - function_overloads: 2023-07-07T20:05:31.6456605Z - onnx_args: 2023-07-07T20:05:31.6456784Z - onnx_kwargs: 2023-07-07T20:05:31.6457227Z - diagnostic_context: 2023-07-07T20:05:31.6457510Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6457989Z [2023-07-07 20:00:30,391] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_97]. 2023-07-07T20:05:31.6458228Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6458236Z 2023-07-07T20:05:31.6458533Z [2023-07-07 20:00:30,391] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6458843Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6458851Z 2023-07-07T20:05:31.6459132Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6459544Z - self: 2023-07-07T20:05:31.6459911Z - node: fx.Node(convert_element_type_97[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6460075Z - aten_name: 2023-07-07T20:05:31.6460274Z - function_overloads: 2023-07-07T20:05:31.6460450Z - onnx_args: 2023-07-07T20:05:31.6460629Z - onnx_kwargs: 2023-07-07T20:05:31.6461093Z - diagnostic_context: 2023-07-07T20:05:31.6461373Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6461763Z [2023-07-07 20:00:30,399] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_48]. 2023-07-07T20:05:31.6461943Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6462145Z [2023-07-07 20:00:30,399] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6462225Z ### Exception log 2023-07-07T20:05:31.6462329Z ``` 2023-07-07T20:05:31.6462427Z Traceback (most recent call last): 2023-07-07T20:05:31.6462433Z 2023-07-07T20:05:31.6462770Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6462866Z torch.testing.assert_close( 2023-07-07T20:05:31.6462871Z 2023-07-07T20:05:31.6463152Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6463231Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6463248Z 2023-07-07T20:05:31.6463391Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6463397Z 2023-07-07T20:05:31.6463522Z Mismatched elements: 47 / 96 (49.0%) 2023-07-07T20:05:31.6463657Z Greatest absolute difference: nan at index (3,) (up to 0.001 allowed) 2023-07-07T20:05:31.6463792Z Greatest relative difference: nan at index (3,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6463825Z 2023-07-07T20:05:31.6463887Z ``` 2023-07-07T20:05:31.6464007Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6464342Z - diagnostic_context: 2023-07-07T20:05:31.6464521Z - node: fx.Node(sqrt_48[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6464652Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6464769Z - torch_args: 2023-07-07T20:05:31.6464888Z - torch_kwargs: 2023-07-07T20:05:31.6465016Z - Return value: 2023-07-07T20:05:31.6465277Z [2023-07-07 20:00:30,402] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_48]. 2023-07-07T20:05:31.6465419Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6465424Z 2023-07-07T20:05:31.6465619Z [2023-07-07 20:00:30,402] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6465816Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6465833Z 2023-07-07T20:05:31.6466006Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6466272Z - self: 2023-07-07T20:05:31.6466456Z - node: fx.Node(tensor_int_48[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6466567Z - aten_name: 2023-07-07T20:05:31.6466698Z - function_overloads: 2023-07-07T20:05:31.6466811Z - onnx_args: 2023-07-07T20:05:31.6466930Z - onnx_kwargs: 2023-07-07T20:05:31.6467223Z - diagnostic_context: 2023-07-07T20:05:31.6467380Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6467657Z [2023-07-07 20:00:30,415] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_384]. 2023-07-07T20:05:31.6467804Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6467810Z 2023-07-07T20:05:31.6468008Z [2023-07-07 20:00:30,415] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6475561Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6475578Z 2023-07-07T20:05:31.6475825Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6476134Z - self: 2023-07-07T20:05:31.6476336Z - node: fx.Node(unsqueeze_384[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6476460Z - aten_name: 2023-07-07T20:05:31.6476594Z - function_overloads: 2023-07-07T20:05:31.6476712Z - onnx_args: 2023-07-07T20:05:31.6476835Z - onnx_kwargs: 2023-07-07T20:05:31.6477245Z - diagnostic_context: 2023-07-07T20:05:31.6477408Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6477683Z [2023-07-07 20:00:30,418] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_385]. 2023-07-07T20:05:31.6477833Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6477840Z 2023-07-07T20:05:31.6478041Z [2023-07-07 20:00:30,418] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6478248Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6478255Z 2023-07-07T20:05:31.6478477Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6478749Z - self: 2023-07-07T20:05:31.6478990Z - node: fx.Node(unsqueeze_385[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6479106Z - aten_name: 2023-07-07T20:05:31.6479244Z - function_overloads: 2023-07-07T20:05:31.6479381Z - onnx_args: 2023-07-07T20:05:31.6479499Z - onnx_kwargs: 2023-07-07T20:05:31.6479805Z - diagnostic_context: 2023-07-07T20:05:31.6479963Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6480242Z [2023-07-07 20:00:30,420] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_386]. 2023-07-07T20:05:31.6480386Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6480393Z 2023-07-07T20:05:31.6480594Z [2023-07-07 20:00:30,420] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6480798Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6480806Z 2023-07-07T20:05:31.6480981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6481253Z - self: 2023-07-07T20:05:31.6481458Z - node: fx.Node(unsqueeze_386[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6481574Z - aten_name: 2023-07-07T20:05:31.6481708Z - function_overloads: 2023-07-07T20:05:31.6481824Z - onnx_args: 2023-07-07T20:05:31.6481942Z - onnx_kwargs: 2023-07-07T20:05:31.6482246Z - diagnostic_context: 2023-07-07T20:05:31.6482393Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6482672Z [2023-07-07 20:00:30,423] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_387]. 2023-07-07T20:05:31.6482817Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6482825Z 2023-07-07T20:05:31.6483025Z [2023-07-07 20:00:30,423] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6483230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6483236Z 2023-07-07T20:05:31.6483420Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6483687Z - self: 2023-07-07T20:05:31.6483891Z - node: fx.Node(unsqueeze_387[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6484006Z - aten_name: 2023-07-07T20:05:31.6484125Z - function_overloads: 2023-07-07T20:05:31.6484242Z - onnx_args: 2023-07-07T20:05:31.6484359Z - onnx_kwargs: 2023-07-07T20:05:31.6484839Z - diagnostic_context: 2023-07-07T20:05:31.6485064Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6485344Z [2023-07-07 20:00:30,434] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_388]. 2023-07-07T20:05:31.6485493Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6485498Z 2023-07-07T20:05:31.6485684Z [2023-07-07 20:00:30,434] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6485892Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6485898Z 2023-07-07T20:05:31.6486082Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6486404Z - self: 2023-07-07T20:05:31.6486609Z - node: fx.Node(unsqueeze_388[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6486761Z - aten_name: 2023-07-07T20:05:31.6486896Z - function_overloads: 2023-07-07T20:05:31.6487013Z - onnx_args: 2023-07-07T20:05:31.6487118Z - onnx_kwargs: 2023-07-07T20:05:31.6487458Z - diagnostic_context: 2023-07-07T20:05:31.6487615Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6487894Z [2023-07-07 20:00:30,437] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_389]. 2023-07-07T20:05:31.6488041Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6488047Z 2023-07-07T20:05:31.6488243Z [2023-07-07 20:00:30,437] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6488448Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6488454Z 2023-07-07T20:05:31.6488636Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6488910Z - self: 2023-07-07T20:05:31.6489104Z - node: fx.Node(unsqueeze_389[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6489217Z - aten_name: 2023-07-07T20:05:31.6489350Z - function_overloads: 2023-07-07T20:05:31.6489467Z - onnx_args: 2023-07-07T20:05:31.6489585Z - onnx_kwargs: 2023-07-07T20:05:31.6489887Z - diagnostic_context: 2023-07-07T20:05:31.6490044Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6490326Z [2023-07-07 20:00:30,443] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_390]. 2023-07-07T20:05:31.6490455Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6490461Z 2023-07-07T20:05:31.6490659Z [2023-07-07 20:00:30,444] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6490866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6490874Z 2023-07-07T20:05:31.6491058Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6491322Z - self: 2023-07-07T20:05:31.6491526Z - node: fx.Node(unsqueeze_390[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6491639Z - aten_name: 2023-07-07T20:05:31.6491771Z - function_overloads: 2023-07-07T20:05:31.6491873Z - onnx_args: 2023-07-07T20:05:31.6491990Z - onnx_kwargs: 2023-07-07T20:05:31.6492294Z - diagnostic_context: 2023-07-07T20:05:31.6492450Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6492758Z [2023-07-07 20:00:30,446] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_391]. 2023-07-07T20:05:31.6492904Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6492912Z 2023-07-07T20:05:31.6493108Z [2023-07-07 20:00:30,446] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6493312Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6493318Z 2023-07-07T20:05:31.6493503Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6493756Z - self: 2023-07-07T20:05:31.6494024Z - node: fx.Node(unsqueeze_391[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6494138Z - aten_name: 2023-07-07T20:05:31.6494271Z - function_overloads: 2023-07-07T20:05:31.6494413Z - onnx_args: 2023-07-07T20:05:31.6494534Z - onnx_kwargs: 2023-07-07T20:05:31.6494836Z - diagnostic_context: 2023-07-07T20:05:31.6495008Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6495255Z [2023-07-07 20:00:30,462] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_13]. 2023-07-07T20:05:31.6495387Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6495393Z 2023-07-07T20:05:31.6495591Z [2023-07-07 20:00:30,463] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6495794Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6495800Z 2023-07-07T20:05:31.6495989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6496256Z - self: 2023-07-07T20:05:31.6496436Z - node: fx.Node(cat_13[call_function]'aten.cat.default') 2023-07-07T20:05:31.6496552Z - aten_name: 2023-07-07T20:05:31.6496673Z - function_overloads: 2023-07-07T20:05:31.6496788Z - onnx_args: 2023-07-07T20:05:31.6496904Z - onnx_kwargs: 2023-07-07T20:05:31.6497208Z - diagnostic_context: 2023-07-07T20:05:31.6497354Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.6497620Z [2023-07-07 20:00:30,470] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_13]. 2023-07-07T20:05:31.6497768Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6497773Z 2023-07-07T20:05:31.6497974Z [2023-07-07 20:00:30,470] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6498165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6498173Z 2023-07-07T20:05:31.6498359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6498628Z - self: 2023-07-07T20:05:31.6498823Z - node: fx.Node(transpose_13[call_function]'aten.transpose.int') 2023-07-07T20:05:31.6498936Z - aten_name: 2023-07-07T20:05:31.6499070Z - function_overloads: 2023-07-07T20:05:31.6499186Z - onnx_args: 2023-07-07T20:05:31.6499293Z - onnx_kwargs: 2023-07-07T20:05:31.6499596Z - diagnostic_context: 2023-07-07T20:05:31.6499811Z - Return value: 2023-07-07T20:05:31.6500071Z [2023-07-07 20:00:30,473] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_13]. 2023-07-07T20:05:31.6500207Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6500242Z 2023-07-07T20:05:31.6500439Z [2023-07-07 20:00:30,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6500644Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6500650Z 2023-07-07T20:05:31.6500834Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6501102Z - self: 2023-07-07T20:05:31.6501275Z - node: fx.Node(clone_13[call_function]'aten.clone.default') 2023-07-07T20:05:31.6501389Z - aten_name: 2023-07-07T20:05:31.6501522Z - function_overloads: 2023-07-07T20:05:31.6501666Z - onnx_args: 2023-07-07T20:05:31.6501784Z - onnx_kwargs: 2023-07-07T20:05:31.6502090Z - diagnostic_context: 2023-07-07T20:05:31.6502269Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.6502524Z [2023-07-07 20:00:30,480] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_11]. 2023-07-07T20:05:31.6502675Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6502681Z 2023-07-07T20:05:31.6502881Z [2023-07-07 20:00:30,480] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6503081Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6503087Z 2023-07-07T20:05:31.6503269Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6503541Z - self: 2023-07-07T20:05:31.6503724Z - node: fx.Node(split_11[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.6503842Z - aten_name: 2023-07-07T20:05:31.6503977Z - function_overloads: 2023-07-07T20:05:31.6504079Z - onnx_args: 2023-07-07T20:05:31.6504211Z - onnx_kwargs: 2023-07-07T20:05:31.6504503Z - diagnostic_context: 2023-07-07T20:05:31.6504651Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.6504922Z [2023-07-07 20:00:30,484] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_24]. 2023-07-07T20:05:31.6505060Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6505066Z 2023-07-07T20:05:31.6505262Z [2023-07-07 20:00:30,484] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6505464Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6505470Z 2023-07-07T20:05:31.6505651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6505924Z - self: 2023-07-07T20:05:31.6506127Z - node: fx.Node(getitem_24[call_function]'') 2023-07-07T20:05:31.6506227Z - aten_name: 2023-07-07T20:05:31.6506360Z - function_overloads: 2023-07-07T20:05:31.6506475Z - onnx_args: 2023-07-07T20:05:31.6506592Z - onnx_kwargs: 2023-07-07T20:05:31.6506895Z - diagnostic_context: 2023-07-07T20:05:31.6507047Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.6507319Z [2023-07-07 20:00:30,486] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_25]. 2023-07-07T20:05:31.6507445Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6507463Z 2023-07-07T20:05:31.6507645Z [2023-07-07 20:00:30,486] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6507880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6507888Z 2023-07-07T20:05:31.6508074Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6508340Z - self: 2023-07-07T20:05:31.6508543Z - node: fx.Node(getitem_25[call_function]'') 2023-07-07T20:05:31.6508655Z - aten_name: 2023-07-07T20:05:31.6508786Z - function_overloads: 2023-07-07T20:05:31.6508901Z - onnx_args: 2023-07-07T20:05:31.6509005Z - onnx_kwargs: 2023-07-07T20:05:31.6509339Z - diagnostic_context: 2023-07-07T20:05:31.6509493Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.6509810Z [2023-07-07 20:00:30,488] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_49]. 2023-07-07T20:05:31.6509955Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6510002Z 2023-07-07T20:05:31.6510200Z [2023-07-07 20:00:30,488] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6510401Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6510406Z 2023-07-07T20:05:31.6510588Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6510842Z - self: 2023-07-07T20:05:31.6511059Z - node: fx.Node(convolution_49[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6511171Z - aten_name: 2023-07-07T20:05:31.6511303Z - function_overloads: 2023-07-07T20:05:31.6511420Z - onnx_args: 2023-07-07T20:05:31.6511538Z - onnx_kwargs: 2023-07-07T20:05:31.6511841Z - diagnostic_context: 2023-07-07T20:05:31.6512054Z - Return value: 2023-07-07T20:05:31.6512324Z [2023-07-07 20:00:30,493] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_49]. 2023-07-07T20:05:31.6512467Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6512667Z [2023-07-07 20:00:30,493] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6512744Z ### Exception log 2023-07-07T20:05:31.6512805Z ``` 2023-07-07T20:05:31.6512902Z Traceback (most recent call last): 2023-07-07T20:05:31.6512908Z 2023-07-07T20:05:31.6513244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6513368Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6513376Z 2023-07-07T20:05:31.6513626Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6513722Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6513728Z 2023-07-07T20:05:31.6514042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6514137Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6514142Z 2023-07-07T20:05:31.6514400Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6514537Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6514545Z 2023-07-07T20:05:31.6514909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6515047Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6515094Z 2023-07-07T20:05:31.6515427Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6515509Z result = op.Conv( 2023-07-07T20:05:31.6515515Z 2023-07-07T20:05:31.6515785Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6515857Z return op( 2023-07-07T20:05:31.6515862Z 2023-07-07T20:05:31.6516116Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6516244Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6516250Z 2023-07-07T20:05:31.6516541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6516675Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6516708Z 2023-07-07T20:05:31.6516971Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6517125Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6517130Z 2023-07-07T20:05:31.6517402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6517579Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6517584Z 2023-07-07T20:05:31.6517824Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6517915Z node.attribute.extend( 2023-07-07T20:05:31.6517920Z 2023-07-07T20:05:31.6518177Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6518265Z make_attribute(key, value) 2023-07-07T20:05:31.6518273Z 2023-07-07T20:05:31.6518536Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6518615Z raise ValueError( 2023-07-07T20:05:31.6518622Z 2023-07-07T20:05:31.6518795Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6518800Z 2023-07-07T20:05:31.6518862Z ``` 2023-07-07T20:05:31.6518983Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6519277Z - diagnostic_context: 2023-07-07T20:05:31.6519491Z - node: fx.Node(convolution_49[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6519703Z - symbolic_fn: 2023-07-07T20:05:31.6519821Z - torch_args: 2023-07-07T20:05:31.6519940Z - torch_kwargs: 2023-07-07T20:05:31.6520067Z - Return value: 2023-07-07T20:05:31.6520378Z [2023-07-07 20:00:30,499] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_98]. 2023-07-07T20:05:31.6520526Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6520546Z 2023-07-07T20:05:31.6520731Z [2023-07-07 20:00:30,499] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6520932Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6520938Z 2023-07-07T20:05:31.6521119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6521385Z - self: 2023-07-07T20:05:31.6521624Z - node: fx.Node(convert_element_type_98[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6521738Z - aten_name: 2023-07-07T20:05:31.6521869Z - function_overloads: 2023-07-07T20:05:31.6521985Z - onnx_args: 2023-07-07T20:05:31.6522120Z - onnx_kwargs: 2023-07-07T20:05:31.6522423Z - diagnostic_context: 2023-07-07T20:05:31.6522608Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6522916Z [2023-07-07 20:00:30,502] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_99]. 2023-07-07T20:05:31.6523074Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6523080Z 2023-07-07T20:05:31.6523276Z [2023-07-07 20:00:30,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6523505Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6523512Z 2023-07-07T20:05:31.6523694Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6523995Z - self: 2023-07-07T20:05:31.6524222Z - node: fx.Node(convert_element_type_99[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6524365Z - aten_name: 2023-07-07T20:05:31.6524659Z - function_overloads: 2023-07-07T20:05:31.6524776Z - onnx_args: 2023-07-07T20:05:31.6524892Z - onnx_kwargs: 2023-07-07T20:05:31.6525195Z - diagnostic_context: 2023-07-07T20:05:31.6525377Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6525618Z [2023-07-07 20:00:30,510] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_49]. 2023-07-07T20:05:31.6525755Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6525942Z [2023-07-07 20:00:30,510] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6526020Z ### Exception log 2023-07-07T20:05:31.6526082Z ``` 2023-07-07T20:05:31.6526179Z Traceback (most recent call last): 2023-07-07T20:05:31.6526185Z 2023-07-07T20:05:31.6526516Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6526618Z torch.testing.assert_close( 2023-07-07T20:05:31.6526623Z 2023-07-07T20:05:31.6526892Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6526986Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6526991Z 2023-07-07T20:05:31.6527148Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6527154Z 2023-07-07T20:05:31.6527246Z Mismatched elements: 45 / 96 (46.9%) 2023-07-07T20:05:31.6527385Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.6527520Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6527527Z 2023-07-07T20:05:31.6527588Z ``` 2023-07-07T20:05:31.6527709Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6528014Z - diagnostic_context: 2023-07-07T20:05:31.6528185Z - node: fx.Node(sqrt_49[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6528328Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6528449Z - torch_args: 2023-07-07T20:05:31.6528567Z - torch_kwargs: 2023-07-07T20:05:31.6528695Z - Return value: 2023-07-07T20:05:31.6528955Z [2023-07-07 20:00:30,514] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_49]. 2023-07-07T20:05:31.6529098Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6529104Z 2023-07-07T20:05:31.6529289Z [2023-07-07 20:00:30,514] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6529553Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6529561Z 2023-07-07T20:05:31.6529744Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6530016Z - self: 2023-07-07T20:05:31.6530203Z - node: fx.Node(tensor_int_49[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6530317Z - aten_name: 2023-07-07T20:05:31.6530448Z - function_overloads: 2023-07-07T20:05:31.6530563Z - onnx_args: 2023-07-07T20:05:31.6530667Z - onnx_kwargs: 2023-07-07T20:05:31.6530969Z - diagnostic_context: 2023-07-07T20:05:31.6531163Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6531445Z [2023-07-07 20:00:30,526] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_392]. 2023-07-07T20:05:31.6531630Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6531635Z 2023-07-07T20:05:31.6531832Z [2023-07-07 20:00:30,526] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6532067Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6532073Z 2023-07-07T20:05:31.6532255Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6532522Z - self: 2023-07-07T20:05:31.6532717Z - node: fx.Node(unsqueeze_392[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6532831Z - aten_name: 2023-07-07T20:05:31.6532965Z - function_overloads: 2023-07-07T20:05:31.6533079Z - onnx_args: 2023-07-07T20:05:31.6533194Z - onnx_kwargs: 2023-07-07T20:05:31.6533498Z - diagnostic_context: 2023-07-07T20:05:31.6533656Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6533936Z [2023-07-07 20:00:30,529] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_393]. 2023-07-07T20:05:31.6534069Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6534075Z 2023-07-07T20:05:31.6534271Z [2023-07-07 20:00:30,529] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6534471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6534477Z 2023-07-07T20:05:31.6534661Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6534925Z - self: 2023-07-07T20:05:31.6535129Z - node: fx.Node(unsqueeze_393[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6535246Z - aten_name: 2023-07-07T20:05:31.6535376Z - function_overloads: 2023-07-07T20:05:31.6535481Z - onnx_args: 2023-07-07T20:05:31.6535596Z - onnx_kwargs: 2023-07-07T20:05:31.6535896Z - diagnostic_context: 2023-07-07T20:05:31.6536053Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6536330Z [2023-07-07 20:00:30,532] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_394]. 2023-07-07T20:05:31.6536475Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6536480Z 2023-07-07T20:05:31.6536677Z [2023-07-07 20:00:30,532] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6536881Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6536889Z 2023-07-07T20:05:31.6537106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6537363Z - self: 2023-07-07T20:05:31.6537570Z - node: fx.Node(unsqueeze_394[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6537683Z - aten_name: 2023-07-07T20:05:31.6537814Z - function_overloads: 2023-07-07T20:05:31.6537929Z - onnx_args: 2023-07-07T20:05:31.6538044Z - onnx_kwargs: 2023-07-07T20:05:31.6538342Z - diagnostic_context: 2023-07-07T20:05:31.6538486Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6538799Z [2023-07-07 20:00:30,534] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_395]. 2023-07-07T20:05:31.6538942Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6538977Z 2023-07-07T20:05:31.6539180Z [2023-07-07 20:00:30,534] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6539382Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6539418Z 2023-07-07T20:05:31.6539602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6539869Z - self: 2023-07-07T20:05:31.6540077Z - node: fx.Node(unsqueeze_395[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6540189Z - aten_name: 2023-07-07T20:05:31.6540307Z - function_overloads: 2023-07-07T20:05:31.6540424Z - onnx_args: 2023-07-07T20:05:31.6540541Z - onnx_kwargs: 2023-07-07T20:05:31.6540841Z - diagnostic_context: 2023-07-07T20:05:31.6541000Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6541274Z [2023-07-07 20:00:30,545] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_396]. 2023-07-07T20:05:31.6541416Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6541421Z 2023-07-07T20:05:31.6541616Z [2023-07-07 20:00:30,545] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6541806Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6541811Z 2023-07-07T20:05:31.6541994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6542261Z - self: 2023-07-07T20:05:31.6542466Z - node: fx.Node(unsqueeze_396[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6542579Z - aten_name: 2023-07-07T20:05:31.6542713Z - function_overloads: 2023-07-07T20:05:31.6542829Z - onnx_args: 2023-07-07T20:05:31.6542946Z - onnx_kwargs: 2023-07-07T20:05:31.6543238Z - diagnostic_context: 2023-07-07T20:05:31.6543393Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6543670Z [2023-07-07 20:00:30,548] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_397]. 2023-07-07T20:05:31.6543811Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6543816Z 2023-07-07T20:05:31.6544013Z [2023-07-07 20:00:30,548] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6544216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6544222Z 2023-07-07T20:05:31.6544405Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6544852Z - self: 2023-07-07T20:05:31.6545170Z - node: fx.Node(unsqueeze_397[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6545332Z - aten_name: 2023-07-07T20:05:31.6545535Z - function_overloads: 2023-07-07T20:05:31.6545711Z - onnx_args: 2023-07-07T20:05:31.6545893Z - onnx_kwargs: 2023-07-07T20:05:31.6546353Z - diagnostic_context: 2023-07-07T20:05:31.6546590Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6547013Z [2023-07-07 20:00:30,554] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_398]. 2023-07-07T20:05:31.6547244Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6547268Z 2023-07-07T20:05:31.6547552Z [2023-07-07 20:00:30,554] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6547898Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6547937Z 2023-07-07T20:05:31.6548212Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6548614Z - self: 2023-07-07T20:05:31.6548923Z - node: fx.Node(unsqueeze_398[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6549092Z - aten_name: 2023-07-07T20:05:31.6549295Z - function_overloads: 2023-07-07T20:05:31.6549469Z - onnx_args: 2023-07-07T20:05:31.6549632Z - onnx_kwargs: 2023-07-07T20:05:31.6550089Z - diagnostic_context: 2023-07-07T20:05:31.6550324Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6550755Z [2023-07-07 20:00:30,557] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_399]. 2023-07-07T20:05:31.6550966Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6550977Z 2023-07-07T20:05:31.6551278Z [2023-07-07 20:00:30,557] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6551582Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6551590Z 2023-07-07T20:05:31.6551865Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6552256Z - self: 2023-07-07T20:05:31.6552572Z - node: fx.Node(unsqueeze_399[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6552741Z - aten_name: 2023-07-07T20:05:31.6552944Z - function_overloads: 2023-07-07T20:05:31.6553122Z - onnx_args: 2023-07-07T20:05:31.6553301Z - onnx_kwargs: 2023-07-07T20:05:31.6553761Z - diagnostic_context: 2023-07-07T20:05:31.6553998Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6554419Z [2023-07-07 20:00:30,574] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_50]. 2023-07-07T20:05:31.6554709Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6554718Z 2023-07-07T20:05:31.6555018Z [2023-07-07 20:00:30,574] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6555322Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6555330Z 2023-07-07T20:05:31.6555607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6556011Z - self: 2023-07-07T20:05:31.6556407Z - node: fx.Node(convolution_50[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6556581Z - aten_name: 2023-07-07T20:05:31.6556769Z - function_overloads: 2023-07-07T20:05:31.6556945Z - onnx_args: 2023-07-07T20:05:31.6557123Z - onnx_kwargs: 2023-07-07T20:05:31.6557583Z - diagnostic_context: 2023-07-07T20:05:31.6557903Z - Return value: 2023-07-07T20:05:31.6558332Z [2023-07-07 20:00:30,580] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_50]. 2023-07-07T20:05:31.6558546Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6558901Z [2023-07-07 20:00:30,580] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6559000Z ### Exception log 2023-07-07T20:05:31.6559124Z ``` 2023-07-07T20:05:31.6559266Z Traceback (most recent call last): 2023-07-07T20:05:31.6559278Z 2023-07-07T20:05:31.6559792Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6560008Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6560016Z 2023-07-07T20:05:31.6560412Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6560552Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6560561Z 2023-07-07T20:05:31.6561048Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6561194Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6561202Z 2023-07-07T20:05:31.6561584Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6561796Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6561805Z 2023-07-07T20:05:31.6562227Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6562431Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6562439Z 2023-07-07T20:05:31.6562939Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6563055Z result = op.Conv( 2023-07-07T20:05:31.6563063Z 2023-07-07T20:05:31.6563498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6563604Z return op( 2023-07-07T20:05:31.6563615Z 2023-07-07T20:05:31.6564007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6564179Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6564204Z 2023-07-07T20:05:31.6564705Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6564914Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6564922Z 2023-07-07T20:05:31.6565204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6565328Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6565334Z 2023-07-07T20:05:31.6565601Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6565777Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6565785Z 2023-07-07T20:05:31.6566039Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6566133Z node.attribute.extend( 2023-07-07T20:05:31.6566139Z 2023-07-07T20:05:31.6566472Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6566552Z make_attribute(key, value) 2023-07-07T20:05:31.6566571Z 2023-07-07T20:05:31.6566819Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6566899Z raise ValueError( 2023-07-07T20:05:31.6566904Z 2023-07-07T20:05:31.6567077Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6567082Z 2023-07-07T20:05:31.6567145Z ``` 2023-07-07T20:05:31.6567267Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6567619Z - diagnostic_context: 2023-07-07T20:05:31.6567837Z - node: fx.Node(convolution_50[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6568084Z - symbolic_fn: 2023-07-07T20:05:31.6568191Z - torch_args: 2023-07-07T20:05:31.6568310Z - torch_kwargs: 2023-07-07T20:05:31.6568491Z - Return value: 2023-07-07T20:05:31.6568807Z [2023-07-07 20:00:30,585] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_100]. 2023-07-07T20:05:31.6568966Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6568972Z 2023-07-07T20:05:31.6569169Z [2023-07-07 20:00:30,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6569374Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6569380Z 2023-07-07T20:05:31.6569565Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6569820Z - self: 2023-07-07T20:05:31.6570068Z - node: fx.Node(convert_element_type_100[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6570184Z - aten_name: 2023-07-07T20:05:31.6570316Z - function_overloads: 2023-07-07T20:05:31.6570432Z - onnx_args: 2023-07-07T20:05:31.6570551Z - onnx_kwargs: 2023-07-07T20:05:31.6570852Z - diagnostic_context: 2023-07-07T20:05:31.6571034Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6571335Z [2023-07-07 20:00:30,588] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_101]. 2023-07-07T20:05:31.6571496Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6571502Z 2023-07-07T20:05:31.6571698Z [2023-07-07 20:00:30,588] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6571905Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6571911Z 2023-07-07T20:05:31.6572096Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6572362Z - self: 2023-07-07T20:05:31.6572604Z - node: fx.Node(convert_element_type_101[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6572717Z - aten_name: 2023-07-07T20:05:31.6572850Z - function_overloads: 2023-07-07T20:05:31.6572952Z - onnx_args: 2023-07-07T20:05:31.6573067Z - onnx_kwargs: 2023-07-07T20:05:31.6573375Z - diagnostic_context: 2023-07-07T20:05:31.6573559Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6573850Z [2023-07-07 20:00:30,596] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_50]. 2023-07-07T20:05:31.6573983Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6574172Z [2023-07-07 20:00:30,596] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6574234Z ### Exception log 2023-07-07T20:05:31.6574295Z ``` 2023-07-07T20:05:31.6574390Z Traceback (most recent call last): 2023-07-07T20:05:31.6574396Z 2023-07-07T20:05:31.6574726Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6574822Z torch.testing.assert_close( 2023-07-07T20:05:31.6574827Z 2023-07-07T20:05:31.6575146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6575242Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6575247Z 2023-07-07T20:05:31.6575405Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6575445Z 2023-07-07T20:05:31.6575540Z Mismatched elements: 51 / 96 (53.1%) 2023-07-07T20:05:31.6575664Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.6575828Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6575833Z 2023-07-07T20:05:31.6575892Z ``` 2023-07-07T20:05:31.6576011Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6576313Z - diagnostic_context: 2023-07-07T20:05:31.6576490Z - node: fx.Node(sqrt_50[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6576633Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6576749Z - torch_args: 2023-07-07T20:05:31.6576858Z - torch_kwargs: 2023-07-07T20:05:31.6576986Z - Return value: 2023-07-07T20:05:31.6577243Z [2023-07-07 20:00:30,600] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_50]. 2023-07-07T20:05:31.6577388Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6577393Z 2023-07-07T20:05:31.6577588Z [2023-07-07 20:00:30,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6577794Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6577800Z 2023-07-07T20:05:31.6577984Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6578248Z - self: 2023-07-07T20:05:31.6578422Z - node: fx.Node(tensor_int_50[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6578535Z - aten_name: 2023-07-07T20:05:31.6578668Z - function_overloads: 2023-07-07T20:05:31.6578783Z - onnx_args: 2023-07-07T20:05:31.6578898Z - onnx_kwargs: 2023-07-07T20:05:31.6579206Z - diagnostic_context: 2023-07-07T20:05:31.6579363Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6579630Z [2023-07-07 20:00:30,612] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_400]. 2023-07-07T20:05:31.6579772Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6579778Z 2023-07-07T20:05:31.6579975Z [2023-07-07 20:00:30,612] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6580178Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6580184Z 2023-07-07T20:05:31.6580369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6580635Z - self: 2023-07-07T20:05:31.6580840Z - node: fx.Node(unsqueeze_400[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6580989Z - aten_name: 2023-07-07T20:05:31.6581123Z - function_overloads: 2023-07-07T20:05:31.6581228Z - onnx_args: 2023-07-07T20:05:31.6581343Z - onnx_kwargs: 2023-07-07T20:05:31.6581646Z - diagnostic_context: 2023-07-07T20:05:31.6581804Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6582082Z [2023-07-07 20:00:30,615] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_401]. 2023-07-07T20:05:31.6582223Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6582229Z 2023-07-07T20:05:31.6582454Z [2023-07-07 20:00:30,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6582657Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6582692Z 2023-07-07T20:05:31.6582876Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6583128Z - self: 2023-07-07T20:05:31.6583362Z - node: fx.Node(unsqueeze_401[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6583475Z - aten_name: 2023-07-07T20:05:31.6583607Z - function_overloads: 2023-07-07T20:05:31.6583722Z - onnx_args: 2023-07-07T20:05:31.6583837Z - onnx_kwargs: 2023-07-07T20:05:31.6584140Z - diagnostic_context: 2023-07-07T20:05:31.6584284Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6584564Z [2023-07-07 20:00:30,618] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_402]. 2023-07-07T20:05:31.6584703Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6584710Z 2023-07-07T20:05:31.6584908Z [2023-07-07 20:00:30,618] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6585108Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6585116Z 2023-07-07T20:05:31.6585298Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6585565Z - self: 2023-07-07T20:05:31.6585769Z - node: fx.Node(unsqueeze_402[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6585880Z - aten_name: 2023-07-07T20:05:31.6585998Z - function_overloads: 2023-07-07T20:05:31.6586112Z - onnx_args: 2023-07-07T20:05:31.6586228Z - onnx_kwargs: 2023-07-07T20:05:31.6586533Z - diagnostic_context: 2023-07-07T20:05:31.6586691Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6586968Z [2023-07-07 20:00:30,621] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_403]. 2023-07-07T20:05:31.6587111Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6587117Z 2023-07-07T20:05:31.6587312Z [2023-07-07 20:00:30,621] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6587504Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6587510Z 2023-07-07T20:05:31.6587692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6587960Z - self: 2023-07-07T20:05:31.6588162Z - node: fx.Node(unsqueeze_403[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6588274Z - aten_name: 2023-07-07T20:05:31.6588407Z - function_overloads: 2023-07-07T20:05:31.6588556Z - onnx_args: 2023-07-07T20:05:31.6588674Z - onnx_kwargs: 2023-07-07T20:05:31.6588969Z - diagnostic_context: 2023-07-07T20:05:31.6589126Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6589403Z [2023-07-07 20:00:30,632] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_404]. 2023-07-07T20:05:31.6589545Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6589551Z 2023-07-07T20:05:31.6589747Z [2023-07-07 20:00:30,632] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6589982Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6589988Z 2023-07-07T20:05:31.6590172Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6590468Z - self: 2023-07-07T20:05:31.6590672Z - node: fx.Node(unsqueeze_404[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6590801Z - aten_name: 2023-07-07T20:05:31.6590932Z - function_overloads: 2023-07-07T20:05:31.6591045Z - onnx_args: 2023-07-07T20:05:31.6591162Z - onnx_kwargs: 2023-07-07T20:05:31.6591465Z - diagnostic_context: 2023-07-07T20:05:31.6591620Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6591895Z [2023-07-07 20:00:30,634] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_405]. 2023-07-07T20:05:31.6592027Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6592033Z 2023-07-07T20:05:31.6592229Z [2023-07-07 20:00:30,634] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6592436Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6592443Z 2023-07-07T20:05:31.6592625Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6592892Z - self: 2023-07-07T20:05:31.6593096Z - node: fx.Node(unsqueeze_405[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6593208Z - aten_name: 2023-07-07T20:05:31.6593338Z - function_overloads: 2023-07-07T20:05:31.6593441Z - onnx_args: 2023-07-07T20:05:31.6593557Z - onnx_kwargs: 2023-07-07T20:05:31.6593861Z - diagnostic_context: 2023-07-07T20:05:31.6594017Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6594293Z [2023-07-07 20:00:30,641] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_406]. 2023-07-07T20:05:31.6594435Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6594442Z 2023-07-07T20:05:31.6594722Z [2023-07-07 20:00:30,641] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6594926Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6594931Z 2023-07-07T20:05:31.6595111Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6595368Z - self: 2023-07-07T20:05:31.6595575Z - node: fx.Node(unsqueeze_406[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6595688Z - aten_name: 2023-07-07T20:05:31.6595819Z - function_overloads: 2023-07-07T20:05:31.6595935Z - onnx_args: 2023-07-07T20:05:31.6596053Z - onnx_kwargs: 2023-07-07T20:05:31.6596400Z - diagnostic_context: 2023-07-07T20:05:31.6596549Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6596827Z [2023-07-07 20:00:30,644] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_407]. 2023-07-07T20:05:31.6596966Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6596972Z 2023-07-07T20:05:31.6597169Z [2023-07-07 20:00:30,644] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6597371Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6597377Z 2023-07-07T20:05:31.6597603Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6597870Z - self: 2023-07-07T20:05:31.6598107Z - node: fx.Node(unsqueeze_407[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6598219Z - aten_name: 2023-07-07T20:05:31.6598368Z - function_overloads: 2023-07-07T20:05:31.6598483Z - onnx_args: 2023-07-07T20:05:31.6598598Z - onnx_kwargs: 2023-07-07T20:05:31.6598899Z - diagnostic_context: 2023-07-07T20:05:31.6599055Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6599340Z [2023-07-07 20:00:30,652] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_51]. 2023-07-07T20:05:31.6599485Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6599490Z 2023-07-07T20:05:31.6599685Z [2023-07-07 20:00:30,652] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6599874Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6599896Z 2023-07-07T20:05:31.6600064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6600332Z - self: 2023-07-07T20:05:31.6600544Z - node: fx.Node(convolution_51[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6600655Z - aten_name: 2023-07-07T20:05:31.6600786Z - function_overloads: 2023-07-07T20:05:31.6600900Z - onnx_args: 2023-07-07T20:05:31.6601016Z - onnx_kwargs: 2023-07-07T20:05:31.6601306Z - diagnostic_context: 2023-07-07T20:05:31.6601518Z - Return value: 2023-07-07T20:05:31.6601800Z [2023-07-07 20:00:30,658] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_51]. 2023-07-07T20:05:31.6602001Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6602200Z [2023-07-07 20:00:30,658] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6602276Z ### Exception log 2023-07-07T20:05:31.6602337Z ``` 2023-07-07T20:05:31.6602421Z Traceback (most recent call last): 2023-07-07T20:05:31.6602438Z 2023-07-07T20:05:31.6602756Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6602877Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6602882Z 2023-07-07T20:05:31.6603141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6603236Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6603242Z 2023-07-07T20:05:31.6603557Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6603685Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6603692Z 2023-07-07T20:05:31.6603951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6604090Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6604096Z 2023-07-07T20:05:31.6604370Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6604657Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6604663Z 2023-07-07T20:05:31.6605048Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6605128Z result = op.Conv( 2023-07-07T20:05:31.6605134Z 2023-07-07T20:05:31.6605416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6605526Z return op( 2023-07-07T20:05:31.6605531Z 2023-07-07T20:05:31.6605792Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6605956Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6605962Z 2023-07-07T20:05:31.6606222Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6606353Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6606359Z 2023-07-07T20:05:31.6606623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6606737Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6606755Z 2023-07-07T20:05:31.6607009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6607190Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6607197Z 2023-07-07T20:05:31.6607449Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6607543Z node.attribute.extend( 2023-07-07T20:05:31.6607548Z 2023-07-07T20:05:31.6607802Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6607889Z make_attribute(key, value) 2023-07-07T20:05:31.6607895Z 2023-07-07T20:05:31.6608154Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6608233Z raise ValueError( 2023-07-07T20:05:31.6608238Z 2023-07-07T20:05:31.6608412Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6608417Z 2023-07-07T20:05:31.6608465Z ``` 2023-07-07T20:05:31.6608586Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6608895Z - diagnostic_context: 2023-07-07T20:05:31.6609111Z - node: fx.Node(convolution_51[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6609323Z - symbolic_fn: 2023-07-07T20:05:31.6609439Z - torch_args: 2023-07-07T20:05:31.6609558Z - torch_kwargs: 2023-07-07T20:05:31.6609672Z - Return value: 2023-07-07T20:05:31.6609984Z [2023-07-07 20:00:30,662] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_102]. 2023-07-07T20:05:31.6610142Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6610148Z 2023-07-07T20:05:31.6610346Z [2023-07-07 20:00:30,662] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6610548Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6610604Z 2023-07-07T20:05:31.6610789Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6611058Z - self: 2023-07-07T20:05:31.6611301Z - node: fx.Node(convert_element_type_102[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6611414Z - aten_name: 2023-07-07T20:05:31.6611533Z - function_overloads: 2023-07-07T20:05:31.6611647Z - onnx_args: 2023-07-07T20:05:31.6611763Z - onnx_kwargs: 2023-07-07T20:05:31.6612065Z - diagnostic_context: 2023-07-07T20:05:31.6612277Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6612592Z [2023-07-07 20:00:30,664] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_103]. 2023-07-07T20:05:31.6612781Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6612787Z 2023-07-07T20:05:31.6613043Z [2023-07-07 20:00:30,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6613245Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6613251Z 2023-07-07T20:05:31.6613422Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6613688Z - self: 2023-07-07T20:05:31.6613928Z - node: fx.Node(convert_element_type_103[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6614044Z - aten_name: 2023-07-07T20:05:31.6614177Z - function_overloads: 2023-07-07T20:05:31.6614292Z - onnx_args: 2023-07-07T20:05:31.6614412Z - onnx_kwargs: 2023-07-07T20:05:31.6614718Z - diagnostic_context: 2023-07-07T20:05:31.6614889Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6615140Z [2023-07-07 20:00:30,671] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_51]. 2023-07-07T20:05:31.6615273Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6615458Z [2023-07-07 20:00:30,671] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6615532Z ### Exception log 2023-07-07T20:05:31.6615596Z ``` 2023-07-07T20:05:31.6615692Z Traceback (most recent call last): 2023-07-07T20:05:31.6615697Z 2023-07-07T20:05:31.6616019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6616116Z torch.testing.assert_close( 2023-07-07T20:05:31.6616121Z 2023-07-07T20:05:31.6616410Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6616503Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6616512Z 2023-07-07T20:05:31.6616670Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6616676Z 2023-07-07T20:05:31.6616769Z Mismatched elements: 54 / 96 (56.2%) 2023-07-07T20:05:31.6616903Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.6617038Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6617043Z 2023-07-07T20:05:31.6617104Z ``` 2023-07-07T20:05:31.6617213Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6617519Z - diagnostic_context: 2023-07-07T20:05:31.6617700Z - node: fx.Node(sqrt_51[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6617843Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6617963Z - torch_args: 2023-07-07T20:05:31.6618121Z - torch_kwargs: 2023-07-07T20:05:31.6618251Z - Return value: 2023-07-07T20:05:31.6618498Z [2023-07-07 20:00:30,673] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_51]. 2023-07-07T20:05:31.6618639Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6618645Z 2023-07-07T20:05:31.6618839Z [2023-07-07 20:00:30,673] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6619042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6619047Z 2023-07-07T20:05:31.6619270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6619540Z - self: 2023-07-07T20:05:31.6619728Z - node: fx.Node(tensor_int_51[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6619875Z - aten_name: 2023-07-07T20:05:31.6620007Z - function_overloads: 2023-07-07T20:05:31.6620109Z - onnx_args: 2023-07-07T20:05:31.6620265Z - onnx_kwargs: 2023-07-07T20:05:31.6620569Z - diagnostic_context: 2023-07-07T20:05:31.6620728Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6621005Z [2023-07-07 20:00:30,683] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_408]. 2023-07-07T20:05:31.6621146Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6621151Z 2023-07-07T20:05:31.6621348Z [2023-07-07 20:00:30,683] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6621551Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6621559Z 2023-07-07T20:05:31.6621731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6621998Z - self: 2023-07-07T20:05:31.6622207Z - node: fx.Node(unsqueeze_408[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6622321Z - aten_name: 2023-07-07T20:05:31.6622452Z - function_overloads: 2023-07-07T20:05:31.6622567Z - onnx_args: 2023-07-07T20:05:31.6622683Z - onnx_kwargs: 2023-07-07T20:05:31.6622986Z - diagnostic_context: 2023-07-07T20:05:31.6623129Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6623409Z [2023-07-07 20:00:30,686] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_409]. 2023-07-07T20:05:31.6623550Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6623558Z 2023-07-07T20:05:31.6623757Z [2023-07-07 20:00:30,686] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6623959Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6623966Z 2023-07-07T20:05:31.6624148Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6624412Z - self: 2023-07-07T20:05:31.6624617Z - node: fx.Node(unsqueeze_409[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6624730Z - aten_name: 2023-07-07T20:05:31.6624848Z - function_overloads: 2023-07-07T20:05:31.6624963Z - onnx_args: 2023-07-07T20:05:31.6625082Z - onnx_kwargs: 2023-07-07T20:05:31.6625385Z - diagnostic_context: 2023-07-07T20:05:31.6625544Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6625850Z [2023-07-07 20:00:30,689] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_410]. 2023-07-07T20:05:31.6625994Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6626000Z 2023-07-07T20:05:31.6626181Z [2023-07-07 20:00:30,689] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6626384Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6626389Z 2023-07-07T20:05:31.6626571Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6626864Z - self: 2023-07-07T20:05:31.6627071Z - node: fx.Node(unsqueeze_410[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6627185Z - aten_name: 2023-07-07T20:05:31.6627343Z - function_overloads: 2023-07-07T20:05:31.6627460Z - onnx_args: 2023-07-07T20:05:31.6627563Z - onnx_kwargs: 2023-07-07T20:05:31.6627892Z - diagnostic_context: 2023-07-07T20:05:31.6628048Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6628325Z [2023-07-07 20:00:30,692] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_411]. 2023-07-07T20:05:31.6628465Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6628470Z 2023-07-07T20:05:31.6628667Z [2023-07-07 20:00:30,692] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6628870Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6628875Z 2023-07-07T20:05:31.6629058Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6629332Z - self: 2023-07-07T20:05:31.6629523Z - node: fx.Node(unsqueeze_411[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6629639Z - aten_name: 2023-07-07T20:05:31.6629770Z - function_overloads: 2023-07-07T20:05:31.6629885Z - onnx_args: 2023-07-07T20:05:31.6630001Z - onnx_kwargs: 2023-07-07T20:05:31.6630304Z - diagnostic_context: 2023-07-07T20:05:31.6630460Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6630735Z [2023-07-07 20:00:30,703] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_412]. 2023-07-07T20:05:31.6630865Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6630871Z 2023-07-07T20:05:31.6631063Z [2023-07-07 20:00:30,703] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6631267Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6631273Z 2023-07-07T20:05:31.6631457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6631722Z - self: 2023-07-07T20:05:31.6631928Z - node: fx.Node(unsqueeze_412[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6632040Z - aten_name: 2023-07-07T20:05:31.6632170Z - function_overloads: 2023-07-07T20:05:31.6632272Z - onnx_args: 2023-07-07T20:05:31.6632388Z - onnx_kwargs: 2023-07-07T20:05:31.6632692Z - diagnostic_context: 2023-07-07T20:05:31.6632847Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6633157Z [2023-07-07 20:00:30,706] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_413]. 2023-07-07T20:05:31.6633300Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6633308Z 2023-07-07T20:05:31.6633502Z [2023-07-07 20:00:30,706] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6633702Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6633708Z 2023-07-07T20:05:31.6633889Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6634143Z - self: 2023-07-07T20:05:31.6634346Z - node: fx.Node(unsqueeze_413[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6634487Z - aten_name: 2023-07-07T20:05:31.6634707Z - function_overloads: 2023-07-07T20:05:31.6634830Z - onnx_args: 2023-07-07T20:05:31.6634981Z - onnx_kwargs: 2023-07-07T20:05:31.6635287Z - diagnostic_context: 2023-07-07T20:05:31.6635460Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6635739Z [2023-07-07 20:00:30,712] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_414]. 2023-07-07T20:05:31.6635879Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6635885Z 2023-07-07T20:05:31.6636082Z [2023-07-07 20:00:30,713] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6636283Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6636288Z 2023-07-07T20:05:31.6636473Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6636741Z - self: 2023-07-07T20:05:31.6636951Z - node: fx.Node(unsqueeze_414[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6637063Z - aten_name: 2023-07-07T20:05:31.6637184Z - function_overloads: 2023-07-07T20:05:31.6637298Z - onnx_args: 2023-07-07T20:05:31.6637415Z - onnx_kwargs: 2023-07-07T20:05:31.6637717Z - diagnostic_context: 2023-07-07T20:05:31.6637872Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6638145Z [2023-07-07 20:00:30,715] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_415]. 2023-07-07T20:05:31.6638284Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6638290Z 2023-07-07T20:05:31.6638487Z [2023-07-07 20:00:30,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6638676Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6638683Z 2023-07-07T20:05:31.6638866Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6639130Z - self: 2023-07-07T20:05:31.6639334Z - node: fx.Node(unsqueeze_415[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6639446Z - aten_name: 2023-07-07T20:05:31.6639652Z - function_overloads: 2023-07-07T20:05:31.6639826Z - onnx_args: 2023-07-07T20:05:31.6640004Z - onnx_kwargs: 2023-07-07T20:05:31.6640450Z - diagnostic_context: 2023-07-07T20:05:31.6640689Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6641067Z [2023-07-07 20:00:30,731] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_14]. 2023-07-07T20:05:31.6641264Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6641273Z 2023-07-07T20:05:31.6641605Z [2023-07-07 20:00:30,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6641907Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6641915Z 2023-07-07T20:05:31.6642183Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6642574Z - self: 2023-07-07T20:05:31.6642842Z - node: fx.Node(cat_14[call_function]'aten.cat.default') 2023-07-07T20:05:31.6642997Z - aten_name: 2023-07-07T20:05:31.6643190Z - function_overloads: 2023-07-07T20:05:31.6643394Z - onnx_args: 2023-07-07T20:05:31.6643576Z - onnx_kwargs: 2023-07-07T20:05:31.6644033Z - diagnostic_context: 2023-07-07T20:05:31.6644289Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.6644805Z [2023-07-07 20:00:30,739] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_14]. 2023-07-07T20:05:31.6645067Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6645075Z 2023-07-07T20:05:31.6645380Z [2023-07-07 20:00:30,739] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6645684Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6645692Z 2023-07-07T20:05:31.6645966Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6646372Z - self: 2023-07-07T20:05:31.6646672Z - node: fx.Node(transpose_14[call_function]'aten.transpose.int') 2023-07-07T20:05:31.6646844Z - aten_name: 2023-07-07T20:05:31.6647050Z - function_overloads: 2023-07-07T20:05:31.6647215Z - onnx_args: 2023-07-07T20:05:31.6647392Z - onnx_kwargs: 2023-07-07T20:05:31.6647857Z - diagnostic_context: 2023-07-07T20:05:31.6648175Z - Return value: 2023-07-07T20:05:31.6648572Z [2023-07-07 20:00:30,742] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_14]. 2023-07-07T20:05:31.6648774Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6648783Z 2023-07-07T20:05:31.6649078Z [2023-07-07 20:00:30,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6649382Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6649390Z 2023-07-07T20:05:31.6649665Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6650060Z - self: 2023-07-07T20:05:31.6650338Z - node: fx.Node(clone_14[call_function]'aten.clone.default') 2023-07-07T20:05:31.6650514Z - aten_name: 2023-07-07T20:05:31.6650714Z - function_overloads: 2023-07-07T20:05:31.6650886Z - onnx_args: 2023-07-07T20:05:31.6651067Z - onnx_kwargs: 2023-07-07T20:05:31.6651527Z - diagnostic_context: 2023-07-07T20:05:31.6651735Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.6652126Z [2023-07-07 20:00:30,749] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_12]. 2023-07-07T20:05:31.6652329Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6652337Z 2023-07-07T20:05:31.6652626Z [2023-07-07 20:00:30,749] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6652976Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6652986Z 2023-07-07T20:05:31.6653261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6653671Z - self: 2023-07-07T20:05:31.6653950Z - node: fx.Node(split_12[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.6654122Z - aten_name: 2023-07-07T20:05:31.6654307Z - function_overloads: 2023-07-07T20:05:31.6654482Z - onnx_args: 2023-07-07T20:05:31.6654659Z - onnx_kwargs: 2023-07-07T20:05:31.6655169Z - diagnostic_context: 2023-07-07T20:05:31.6655397Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.6655807Z [2023-07-07 20:00:30,752] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_26]. 2023-07-07T20:05:31.6656053Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6656091Z 2023-07-07T20:05:31.6656392Z [2023-07-07 20:00:30,753] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6656682Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6656704Z 2023-07-07T20:05:31.6656965Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6657369Z - self: 2023-07-07T20:05:31.6657677Z - node: fx.Node(getitem_26[call_function]'') 2023-07-07T20:05:31.6657852Z - aten_name: 2023-07-07T20:05:31.6658050Z - function_overloads: 2023-07-07T20:05:31.6658226Z - onnx_args: 2023-07-07T20:05:31.6658407Z - onnx_kwargs: 2023-07-07T20:05:31.6658857Z - diagnostic_context: 2023-07-07T20:05:31.6659092Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.6659502Z [2023-07-07 20:00:30,754] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_27]. 2023-07-07T20:05:31.6659706Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6659714Z 2023-07-07T20:05:31.6660012Z [2023-07-07 20:00:30,754] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6660317Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6660325Z 2023-07-07T20:05:31.6660601Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6661006Z - self: 2023-07-07T20:05:31.6661317Z - node: fx.Node(getitem_27[call_function]'') 2023-07-07T20:05:31.6661473Z - aten_name: 2023-07-07T20:05:31.6661675Z - function_overloads: 2023-07-07T20:05:31.6661848Z - onnx_args: 2023-07-07T20:05:31.6662024Z - onnx_kwargs: 2023-07-07T20:05:31.6662481Z - diagnostic_context: 2023-07-07T20:05:31.6662713Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.6663141Z [2023-07-07 20:00:30,756] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_52]. 2023-07-07T20:05:31.6663343Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6663365Z 2023-07-07T20:05:31.6663652Z [2023-07-07 20:00:30,756] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6663958Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6663969Z 2023-07-07T20:05:31.6664275Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6664691Z - self: 2023-07-07T20:05:31.6665021Z - node: fx.Node(convolution_52[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6665192Z - aten_name: 2023-07-07T20:05:31.6665394Z - function_overloads: 2023-07-07T20:05:31.6665567Z - onnx_args: 2023-07-07T20:05:31.6665728Z - onnx_kwargs: 2023-07-07T20:05:31.6666184Z - diagnostic_context: 2023-07-07T20:05:31.6666536Z - Return value: 2023-07-07T20:05:31.6666980Z [2023-07-07 20:00:30,762] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_52]. 2023-07-07T20:05:31.6667228Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6667527Z [2023-07-07 20:00:30,762] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6667669Z ### Exception log 2023-07-07T20:05:31.6667746Z ``` 2023-07-07T20:05:31.6667892Z Traceback (most recent call last): 2023-07-07T20:05:31.6667900Z 2023-07-07T20:05:31.6668407Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6668589Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6668597Z 2023-07-07T20:05:31.6668998Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6669141Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6669149Z 2023-07-07T20:05:31.6669635Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6669781Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6669788Z 2023-07-07T20:05:31.6670180Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6670374Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6670396Z 2023-07-07T20:05:31.6670799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6671000Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6671007Z 2023-07-07T20:05:31.6671513Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6671630Z result = op.Conv( 2023-07-07T20:05:31.6671639Z 2023-07-07T20:05:31.6672077Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6672186Z return op( 2023-07-07T20:05:31.6672196Z 2023-07-07T20:05:31.6672590Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6672783Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6672791Z 2023-07-07T20:05:31.6673187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6673369Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6673391Z 2023-07-07T20:05:31.6673777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6673960Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6673970Z 2023-07-07T20:05:31.6674380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6674757Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6674767Z 2023-07-07T20:05:31.6675157Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6675295Z node.attribute.extend( 2023-07-07T20:05:31.6675303Z 2023-07-07T20:05:31.6675687Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6675818Z make_attribute(key, value) 2023-07-07T20:05:31.6675826Z 2023-07-07T20:05:31.6676228Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6676329Z raise ValueError( 2023-07-07T20:05:31.6676337Z 2023-07-07T20:05:31.6676640Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6676649Z 2023-07-07T20:05:31.6676741Z ``` 2023-07-07T20:05:31.6676925Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6677423Z - diagnostic_context: 2023-07-07T20:05:31.6677752Z - node: fx.Node(convolution_52[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6678098Z - symbolic_fn: 2023-07-07T20:05:31.6678277Z - torch_args: 2023-07-07T20:05:31.6678443Z - torch_kwargs: 2023-07-07T20:05:31.6678640Z - Return value: 2023-07-07T20:05:31.6679118Z [2023-07-07 20:00:30,767] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_104]. 2023-07-07T20:05:31.6679356Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6679364Z 2023-07-07T20:05:31.6679666Z [2023-07-07 20:00:30,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6679975Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6679987Z 2023-07-07T20:05:31.6680269Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6680674Z - self: 2023-07-07T20:05:31.6681042Z - node: fx.Node(convert_element_type_104[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6681203Z - aten_name: 2023-07-07T20:05:31.6681404Z - function_overloads: 2023-07-07T20:05:31.6681578Z - onnx_args: 2023-07-07T20:05:31.6681753Z - onnx_kwargs: 2023-07-07T20:05:31.6682213Z - diagnostic_context: 2023-07-07T20:05:31.6682496Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6682973Z [2023-07-07 20:00:30,770] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_105]. 2023-07-07T20:05:31.6683217Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6683225Z 2023-07-07T20:05:31.6683513Z [2023-07-07 20:00:30,770] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6683819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6683827Z 2023-07-07T20:05:31.6684105Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6684639Z - self: 2023-07-07T20:05:31.6685019Z - node: fx.Node(convert_element_type_105[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6685189Z - aten_name: 2023-07-07T20:05:31.6685324Z - function_overloads: 2023-07-07T20:05:31.6685441Z - onnx_args: 2023-07-07T20:05:31.6685546Z - onnx_kwargs: 2023-07-07T20:05:31.6685909Z - diagnostic_context: 2023-07-07T20:05:31.6686095Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6686350Z [2023-07-07 20:00:30,778] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_52]. 2023-07-07T20:05:31.6686483Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6686670Z [2023-07-07 20:00:30,778] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6686745Z ### Exception log 2023-07-07T20:05:31.6686807Z ``` 2023-07-07T20:05:31.6686889Z Traceback (most recent call last): 2023-07-07T20:05:31.6686895Z 2023-07-07T20:05:31.6687259Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6687358Z torch.testing.assert_close( 2023-07-07T20:05:31.6687363Z 2023-07-07T20:05:31.6687713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6687808Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6687855Z 2023-07-07T20:05:31.6688015Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6688020Z 2023-07-07T20:05:31.6688114Z Mismatched elements: 54 / 96 (56.2%) 2023-07-07T20:05:31.6688251Z Greatest absolute difference: nan at index (3,) (up to 0.001 allowed) 2023-07-07T20:05:31.6688375Z Greatest relative difference: nan at index (3,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6688394Z 2023-07-07T20:05:31.6688442Z ``` 2023-07-07T20:05:31.6688563Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6688870Z - diagnostic_context: 2023-07-07T20:05:31.6689051Z - node: fx.Node(sqrt_52[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6689194Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6689314Z - torch_args: 2023-07-07T20:05:31.6689435Z - torch_kwargs: 2023-07-07T20:05:31.6689551Z - Return value: 2023-07-07T20:05:31.6689811Z [2023-07-07 20:00:30,782] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_52]. 2023-07-07T20:05:31.6689952Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6689957Z 2023-07-07T20:05:31.6690152Z [2023-07-07 20:00:30,782] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6690355Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6690365Z 2023-07-07T20:05:31.6690548Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6690815Z - self: 2023-07-07T20:05:31.6691002Z - node: fx.Node(tensor_int_52[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6691117Z - aten_name: 2023-07-07T20:05:31.6691239Z - function_overloads: 2023-07-07T20:05:31.6691354Z - onnx_args: 2023-07-07T20:05:31.6691474Z - onnx_kwargs: 2023-07-07T20:05:31.6691776Z - diagnostic_context: 2023-07-07T20:05:31.6691933Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6692210Z [2023-07-07 20:00:30,794] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_416]. 2023-07-07T20:05:31.6692352Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6692358Z 2023-07-07T20:05:31.6692543Z [2023-07-07 20:00:30,794] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6692747Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6692753Z 2023-07-07T20:05:31.6692968Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6693241Z - self: 2023-07-07T20:05:31.6693452Z - node: fx.Node(unsqueeze_416[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6693566Z - aten_name: 2023-07-07T20:05:31.6693698Z - function_overloads: 2023-07-07T20:05:31.6693813Z - onnx_args: 2023-07-07T20:05:31.6693917Z - onnx_kwargs: 2023-07-07T20:05:31.6694217Z - diagnostic_context: 2023-07-07T20:05:31.6694373Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6694682Z [2023-07-07 20:00:30,797] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_417]. 2023-07-07T20:05:31.6694826Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6694857Z 2023-07-07T20:05:31.6695058Z [2023-07-07 20:00:30,797] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6695260Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6695292Z 2023-07-07T20:05:31.6695477Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6695744Z - self: 2023-07-07T20:05:31.6695936Z - node: fx.Node(unsqueeze_417[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6696049Z - aten_name: 2023-07-07T20:05:31.6696183Z - function_overloads: 2023-07-07T20:05:31.6696298Z - onnx_args: 2023-07-07T20:05:31.6696418Z - onnx_kwargs: 2023-07-07T20:05:31.6696720Z - diagnostic_context: 2023-07-07T20:05:31.6696878Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6697159Z [2023-07-07 20:00:30,800] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_418]. 2023-07-07T20:05:31.6697291Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6697297Z 2023-07-07T20:05:31.6697495Z [2023-07-07 20:00:30,800] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6697698Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6697703Z 2023-07-07T20:05:31.6697888Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6698153Z - self: 2023-07-07T20:05:31.6698361Z - node: fx.Node(unsqueeze_418[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6698475Z - aten_name: 2023-07-07T20:05:31.6698606Z - function_overloads: 2023-07-07T20:05:31.6698712Z - onnx_args: 2023-07-07T20:05:31.6698828Z - onnx_kwargs: 2023-07-07T20:05:31.6699130Z - diagnostic_context: 2023-07-07T20:05:31.6699289Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6699564Z [2023-07-07 20:00:30,803] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_419]. 2023-07-07T20:05:31.6699703Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6699709Z 2023-07-07T20:05:31.6699902Z [2023-07-07 20:00:30,803] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6700106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6700111Z 2023-07-07T20:05:31.6700291Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6700578Z - self: 2023-07-07T20:05:31.6700784Z - node: fx.Node(unsqueeze_419[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6700899Z - aten_name: 2023-07-07T20:05:31.6701030Z - function_overloads: 2023-07-07T20:05:31.6701143Z - onnx_args: 2023-07-07T20:05:31.6701259Z - onnx_kwargs: 2023-07-07T20:05:31.6701558Z - diagnostic_context: 2023-07-07T20:05:31.6701701Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6701979Z [2023-07-07 20:00:30,814] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_420]. 2023-07-07T20:05:31.6702150Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6702157Z 2023-07-07T20:05:31.6702356Z [2023-07-07 20:00:30,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6702588Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6702593Z 2023-07-07T20:05:31.6702803Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6703069Z - self: 2023-07-07T20:05:31.6703272Z - node: fx.Node(unsqueeze_420[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6703384Z - aten_name: 2023-07-07T20:05:31.6703504Z - function_overloads: 2023-07-07T20:05:31.6703617Z - onnx_args: 2023-07-07T20:05:31.6703732Z - onnx_kwargs: 2023-07-07T20:05:31.6704035Z - diagnostic_context: 2023-07-07T20:05:31.6704190Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6704466Z [2023-07-07 20:00:30,817] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_421]. 2023-07-07T20:05:31.6704610Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6704616Z 2023-07-07T20:05:31.6704812Z [2023-07-07 20:00:30,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6705001Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6705007Z 2023-07-07T20:05:31.6705194Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6705457Z - self: 2023-07-07T20:05:31.6705661Z - node: fx.Node(unsqueeze_421[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6705774Z - aten_name: 2023-07-07T20:05:31.6705904Z - function_overloads: 2023-07-07T20:05:31.6706019Z - onnx_args: 2023-07-07T20:05:31.6706136Z - onnx_kwargs: 2023-07-07T20:05:31.6706430Z - diagnostic_context: 2023-07-07T20:05:31.6706586Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6706866Z [2023-07-07 20:00:30,823] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_422]. 2023-07-07T20:05:31.6707008Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6707014Z 2023-07-07T20:05:31.6707210Z [2023-07-07 20:00:30,823] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6707410Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6707416Z 2023-07-07T20:05:31.6707599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6707864Z - self: 2023-07-07T20:05:31.6708095Z - node: fx.Node(unsqueeze_422[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6708198Z - aten_name: 2023-07-07T20:05:31.6708328Z - function_overloads: 2023-07-07T20:05:31.6708445Z - onnx_args: 2023-07-07T20:05:31.6708561Z - onnx_kwargs: 2023-07-07T20:05:31.6708862Z - diagnostic_context: 2023-07-07T20:05:31.6709017Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6709292Z [2023-07-07 20:00:30,826] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_423]. 2023-07-07T20:05:31.6709420Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6709426Z 2023-07-07T20:05:31.6709648Z [2023-07-07 20:00:30,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6709851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6709883Z 2023-07-07T20:05:31.6710067Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6710363Z - self: 2023-07-07T20:05:31.6710567Z - node: fx.Node(unsqueeze_423[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6710679Z - aten_name: 2023-07-07T20:05:31.6710810Z - function_overloads: 2023-07-07T20:05:31.6710911Z - onnx_args: 2023-07-07T20:05:31.6711027Z - onnx_kwargs: 2023-07-07T20:05:31.6711334Z - diagnostic_context: 2023-07-07T20:05:31.6711488Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6711776Z [2023-07-07 20:00:30,843] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_53]. 2023-07-07T20:05:31.6711922Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6711929Z 2023-07-07T20:05:31.6712126Z [2023-07-07 20:00:30,843] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6712330Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6712335Z 2023-07-07T20:05:31.6712516Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6712767Z - self: 2023-07-07T20:05:31.6712982Z - node: fx.Node(convolution_53[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6713093Z - aten_name: 2023-07-07T20:05:31.6713225Z - function_overloads: 2023-07-07T20:05:31.6713344Z - onnx_args: 2023-07-07T20:05:31.6713460Z - onnx_kwargs: 2023-07-07T20:05:31.6713762Z - diagnostic_context: 2023-07-07T20:05:31.6713965Z - Return value: 2023-07-07T20:05:31.6714248Z [2023-07-07 20:00:30,849] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_53]. 2023-07-07T20:05:31.6714393Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6714591Z [2023-07-07 20:00:30,849] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6714763Z ### Exception log 2023-07-07T20:05:31.6714826Z ``` 2023-07-07T20:05:31.6714923Z Traceback (most recent call last): 2023-07-07T20:05:31.6714930Z 2023-07-07T20:05:31.6715267Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6715379Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6715397Z 2023-07-07T20:05:31.6715646Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6715780Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6715786Z 2023-07-07T20:05:31.6716107Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6716203Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6716209Z 2023-07-07T20:05:31.6716465Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6716600Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6716605Z 2023-07-07T20:05:31.6716878Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6717049Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6717056Z 2023-07-07T20:05:31.6717386Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6717481Z result = op.Conv( 2023-07-07T20:05:31.6717498Z 2023-07-07T20:05:31.6717802Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6717875Z return op( 2023-07-07T20:05:31.6717880Z 2023-07-07T20:05:31.6718135Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6718261Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6718266Z 2023-07-07T20:05:31.6718525Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6718657Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6718663Z 2023-07-07T20:05:31.6718922Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6719050Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6719055Z 2023-07-07T20:05:31.6719320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6719485Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6719502Z 2023-07-07T20:05:31.6719742Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6719834Z node.attribute.extend( 2023-07-07T20:05:31.6719839Z 2023-07-07T20:05:31.6720090Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6720179Z make_attribute(key, value) 2023-07-07T20:05:31.6720186Z 2023-07-07T20:05:31.6720447Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6720526Z raise ValueError( 2023-07-07T20:05:31.6720533Z 2023-07-07T20:05:31.6720706Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6720712Z 2023-07-07T20:05:31.6720774Z ``` 2023-07-07T20:05:31.6720884Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6721190Z - diagnostic_context: 2023-07-07T20:05:31.6721405Z - node: fx.Node(convolution_53[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6721614Z - symbolic_fn: 2023-07-07T20:05:31.6721731Z - torch_args: 2023-07-07T20:05:31.6721849Z - torch_kwargs: 2023-07-07T20:05:31.6721976Z - Return value: 2023-07-07T20:05:31.6722370Z [2023-07-07 20:00:30,854] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_106]. 2023-07-07T20:05:31.6722593Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6722666Z 2023-07-07T20:05:31.6722923Z [2023-07-07 20:00:30,854] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6723133Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6723139Z 2023-07-07T20:05:31.6723324Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6723593Z - self: 2023-07-07T20:05:31.6723837Z - node: fx.Node(convert_element_type_106[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6723951Z - aten_name: 2023-07-07T20:05:31.6724117Z - function_overloads: 2023-07-07T20:05:31.6724234Z - onnx_args: 2023-07-07T20:05:31.6724339Z - onnx_kwargs: 2023-07-07T20:05:31.6724792Z - diagnostic_context: 2023-07-07T20:05:31.6725050Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6725365Z [2023-07-07 20:00:30,857] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_107]. 2023-07-07T20:05:31.6725561Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6725567Z 2023-07-07T20:05:31.6725766Z [2023-07-07 20:00:30,857] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6725970Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6725977Z 2023-07-07T20:05:31.6726164Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6726431Z - self: 2023-07-07T20:05:31.6726664Z - node: fx.Node(convert_element_type_107[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6726780Z - aten_name: 2023-07-07T20:05:31.6726913Z - function_overloads: 2023-07-07T20:05:31.6727032Z - onnx_args: 2023-07-07T20:05:31.6727148Z - onnx_kwargs: 2023-07-07T20:05:31.6727455Z - diagnostic_context: 2023-07-07T20:05:31.6727637Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6727876Z [2023-07-07 20:00:30,865] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_53]. 2023-07-07T20:05:31.6728008Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6728197Z [2023-07-07 20:00:30,865] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6728271Z ### Exception log 2023-07-07T20:05:31.6728332Z ``` 2023-07-07T20:05:31.6728426Z Traceback (most recent call last): 2023-07-07T20:05:31.6728433Z 2023-07-07T20:05:31.6728764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6728863Z torch.testing.assert_close( 2023-07-07T20:05:31.6728869Z 2023-07-07T20:05:31.6729139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6729233Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6729239Z 2023-07-07T20:05:31.6729395Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6729401Z 2023-07-07T20:05:31.6729492Z Mismatched elements: 49 / 96 (51.0%) 2023-07-07T20:05:31.6729628Z Greatest absolute difference: nan at index (2,) (up to 0.001 allowed) 2023-07-07T20:05:31.6729766Z Greatest relative difference: nan at index (2,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6729772Z 2023-07-07T20:05:31.6729832Z ``` 2023-07-07T20:05:31.6729952Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6730280Z - diagnostic_context: 2023-07-07T20:05:31.6730461Z - node: fx.Node(sqrt_53[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6730604Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6730721Z - torch_args: 2023-07-07T20:05:31.6730839Z - torch_kwargs: 2023-07-07T20:05:31.6730967Z - Return value: 2023-07-07T20:05:31.6731226Z [2023-07-07 20:00:30,869] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_53]. 2023-07-07T20:05:31.6731366Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6731372Z 2023-07-07T20:05:31.6731555Z [2023-07-07 20:00:30,869] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6731790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6731797Z 2023-07-07T20:05:31.6732011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6732280Z - self: 2023-07-07T20:05:31.6732493Z - node: fx.Node(tensor_int_53[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6732604Z - aten_name: 2023-07-07T20:05:31.6732736Z - function_overloads: 2023-07-07T20:05:31.6732851Z - onnx_args: 2023-07-07T20:05:31.6732955Z - onnx_kwargs: 2023-07-07T20:05:31.6733257Z - diagnostic_context: 2023-07-07T20:05:31.6733414Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6733696Z [2023-07-07 20:00:30,881] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_424]. 2023-07-07T20:05:31.6733838Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6733844Z 2023-07-07T20:05:31.6734044Z [2023-07-07 20:00:30,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6734247Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6734255Z 2023-07-07T20:05:31.6734438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6734705Z - self: 2023-07-07T20:05:31.6734899Z - node: fx.Node(unsqueeze_424[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6735011Z - aten_name: 2023-07-07T20:05:31.6735144Z - function_overloads: 2023-07-07T20:05:31.6735260Z - onnx_args: 2023-07-07T20:05:31.6735380Z - onnx_kwargs: 2023-07-07T20:05:31.6735683Z - diagnostic_context: 2023-07-07T20:05:31.6735840Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6736107Z [2023-07-07 20:00:30,884] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_425]. 2023-07-07T20:05:31.6736250Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6736256Z 2023-07-07T20:05:31.6736451Z [2023-07-07 20:00:30,884] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6736652Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6736658Z 2023-07-07T20:05:31.6736840Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6737107Z - self: 2023-07-07T20:05:31.6737314Z - node: fx.Node(unsqueeze_425[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6737426Z - aten_name: 2023-07-07T20:05:31.6737556Z - function_overloads: 2023-07-07T20:05:31.6737661Z - onnx_args: 2023-07-07T20:05:31.6737808Z - onnx_kwargs: 2023-07-07T20:05:31.6738114Z - diagnostic_context: 2023-07-07T20:05:31.6738273Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6738552Z [2023-07-07 20:00:30,887] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_426]. 2023-07-07T20:05:31.6738694Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6738699Z 2023-07-07T20:05:31.6738894Z [2023-07-07 20:00:30,887] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6739124Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6739131Z 2023-07-07T20:05:31.6739301Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6739603Z - self: 2023-07-07T20:05:31.6739808Z - node: fx.Node(unsqueeze_426[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6739960Z - aten_name: 2023-07-07T20:05:31.6740094Z - function_overloads: 2023-07-07T20:05:31.6740209Z - onnx_args: 2023-07-07T20:05:31.6740327Z - onnx_kwargs: 2023-07-07T20:05:31.6740627Z - diagnostic_context: 2023-07-07T20:05:31.6740771Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6741044Z [2023-07-07 20:00:30,889] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_427]. 2023-07-07T20:05:31.6741187Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6741193Z 2023-07-07T20:05:31.6741389Z [2023-07-07 20:00:30,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6741596Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6741602Z 2023-07-07T20:05:31.6741785Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6742053Z - self: 2023-07-07T20:05:31.6742257Z - node: fx.Node(unsqueeze_427[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6742369Z - aten_name: 2023-07-07T20:05:31.6742488Z - function_overloads: 2023-07-07T20:05:31.6742602Z - onnx_args: 2023-07-07T20:05:31.6742738Z - onnx_kwargs: 2023-07-07T20:05:31.6743123Z - diagnostic_context: 2023-07-07T20:05:31.6743283Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6743561Z [2023-07-07 20:00:30,900] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_428]. 2023-07-07T20:05:31.6743708Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6743714Z 2023-07-07T20:05:31.6743911Z [2023-07-07 20:00:30,900] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6744100Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6744106Z 2023-07-07T20:05:31.6744288Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6744555Z - self: 2023-07-07T20:05:31.6744760Z - node: fx.Node(unsqueeze_428[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6744875Z - aten_name: 2023-07-07T20:05:31.6745006Z - function_overloads: 2023-07-07T20:05:31.6745121Z - onnx_args: 2023-07-07T20:05:31.6745224Z - onnx_kwargs: 2023-07-07T20:05:31.6745568Z - diagnostic_context: 2023-07-07T20:05:31.6745725Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6746005Z [2023-07-07 20:00:30,903] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_429]. 2023-07-07T20:05:31.6746147Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6746153Z 2023-07-07T20:05:31.6746350Z [2023-07-07 20:00:30,903] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6746552Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6746557Z 2023-07-07T20:05:31.6746792Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6747059Z - self: 2023-07-07T20:05:31.6747285Z - node: fx.Node(unsqueeze_429[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6747401Z - aten_name: 2023-07-07T20:05:31.6747533Z - function_overloads: 2023-07-07T20:05:31.6747678Z - onnx_args: 2023-07-07T20:05:31.6747795Z - onnx_kwargs: 2023-07-07T20:05:31.6748099Z - diagnostic_context: 2023-07-07T20:05:31.6748257Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6748534Z [2023-07-07 20:00:30,910] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_430]. 2023-07-07T20:05:31.6748662Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6748667Z 2023-07-07T20:05:31.6748864Z [2023-07-07 20:00:30,910] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6749062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6749070Z 2023-07-07T20:05:31.6749256Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6749523Z - self: 2023-07-07T20:05:31.6749729Z - node: fx.Node(unsqueeze_430[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6749841Z - aten_name: 2023-07-07T20:05:31.6749971Z - function_overloads: 2023-07-07T20:05:31.6750072Z - onnx_args: 2023-07-07T20:05:31.6750189Z - onnx_kwargs: 2023-07-07T20:05:31.6750492Z - diagnostic_context: 2023-07-07T20:05:31.6750651Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6750929Z [2023-07-07 20:00:30,913] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_431]. 2023-07-07T20:05:31.6751071Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6751078Z 2023-07-07T20:05:31.6751276Z [2023-07-07 20:00:30,913] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6751480Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6751485Z 2023-07-07T20:05:31.6751666Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6751919Z - self: 2023-07-07T20:05:31.6752121Z - node: fx.Node(unsqueeze_431[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6752234Z - aten_name: 2023-07-07T20:05:31.6752365Z - function_overloads: 2023-07-07T20:05:31.6752482Z - onnx_args: 2023-07-07T20:05:31.6752598Z - onnx_kwargs: 2023-07-07T20:05:31.6752904Z - diagnostic_context: 2023-07-07T20:05:31.6753087Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6753373Z [2023-07-07 20:00:30,921] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_54]. 2023-07-07T20:05:31.6753524Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6753530Z 2023-07-07T20:05:31.6753725Z [2023-07-07 20:00:30,921] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6753925Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6753995Z 2023-07-07T20:05:31.6754175Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6754474Z - self: 2023-07-07T20:05:31.6754797Z - node: fx.Node(convolution_54[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6754951Z - aten_name: 2023-07-07T20:05:31.6755072Z - function_overloads: 2023-07-07T20:05:31.6755186Z - onnx_args: 2023-07-07T20:05:31.6755303Z - onnx_kwargs: 2023-07-07T20:05:31.6755640Z - diagnostic_context: 2023-07-07T20:05:31.6755852Z - Return value: 2023-07-07T20:05:31.6756138Z [2023-07-07 20:00:31,234] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_54]. 2023-07-07T20:05:31.6756281Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6756480Z [2023-07-07 20:00:31,234] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6756542Z ### Exception log 2023-07-07T20:05:31.6756605Z ``` 2023-07-07T20:05:31.6756702Z Traceback (most recent call last): 2023-07-07T20:05:31.6756710Z 2023-07-07T20:05:31.6757043Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6757167Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6757174Z 2023-07-07T20:05:31.6757435Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6757528Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6757534Z 2023-07-07T20:05:31.6757851Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6757932Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6757950Z 2023-07-07T20:05:31.6758198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6758334Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6758340Z 2023-07-07T20:05:31.6758612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6758748Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6758756Z 2023-07-07T20:05:31.6759084Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6759159Z result = op.Conv( 2023-07-07T20:05:31.6759165Z 2023-07-07T20:05:31.6759449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6759519Z return op( 2023-07-07T20:05:31.6759524Z 2023-07-07T20:05:31.6759781Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6759898Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6759916Z 2023-07-07T20:05:31.6760163Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6760337Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6760343Z 2023-07-07T20:05:31.6760604Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6760728Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6760734Z 2023-07-07T20:05:31.6761001Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6761176Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6761181Z 2023-07-07T20:05:31.6761434Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6761553Z node.attribute.extend( 2023-07-07T20:05:31.6761560Z 2023-07-07T20:05:31.6761811Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6761921Z make_attribute(key, value) 2023-07-07T20:05:31.6761927Z 2023-07-07T20:05:31.6762204Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6762363Z raise ValueError( 2023-07-07T20:05:31.6762371Z 2023-07-07T20:05:31.6762659Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6762667Z 2023-07-07T20:05:31.6762814Z ``` 2023-07-07T20:05:31.6763018Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6763557Z - diagnostic_context: 2023-07-07T20:05:31.6763937Z - node: fx.Node(convolution_54[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6764301Z - symbolic_fn: 2023-07-07T20:05:31.6764587Z - torch_args: 2023-07-07T20:05:31.6764794Z - torch_kwargs: 2023-07-07T20:05:31.6765015Z - Return value: 2023-07-07T20:05:31.6765564Z [2023-07-07 20:00:31,240] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_108]. 2023-07-07T20:05:31.6765839Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6765847Z 2023-07-07T20:05:31.6766192Z [2023-07-07 20:00:31,240] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6766539Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6766548Z 2023-07-07T20:05:31.6766866Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6767324Z - self: 2023-07-07T20:05:31.6767751Z - node: fx.Node(convert_element_type_108[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6767952Z - aten_name: 2023-07-07T20:05:31.6768185Z - function_overloads: 2023-07-07T20:05:31.6768388Z - onnx_args: 2023-07-07T20:05:31.6768591Z - onnx_kwargs: 2023-07-07T20:05:31.6769125Z - diagnostic_context: 2023-07-07T20:05:31.6769442Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6769976Z [2023-07-07 20:00:31,243] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_109]. 2023-07-07T20:05:31.6770247Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6770256Z 2023-07-07T20:05:31.6770597Z [2023-07-07 20:00:31,243] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6770943Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6770957Z 2023-07-07T20:05:31.6771350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6771819Z - self: 2023-07-07T20:05:31.6772255Z - node: fx.Node(convert_element_type_109[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6772452Z - aten_name: 2023-07-07T20:05:31.6772684Z - function_overloads: 2023-07-07T20:05:31.6772872Z - onnx_args: 2023-07-07T20:05:31.6773067Z - onnx_kwargs: 2023-07-07T20:05:31.6773598Z - diagnostic_context: 2023-07-07T20:05:31.6773920Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6774427Z [2023-07-07 20:00:31,252] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_54]. 2023-07-07T20:05:31.6774654Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6775030Z [2023-07-07 20:00:31,252] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6775143Z ### Exception log 2023-07-07T20:05:31.6775253Z ``` 2023-07-07T20:05:31.6775462Z Traceback (most recent call last): 2023-07-07T20:05:31.6775471Z 2023-07-07T20:05:31.6776050Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6776214Z torch.testing.assert_close( 2023-07-07T20:05:31.6776223Z 2023-07-07T20:05:31.6776717Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6776876Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6776884Z 2023-07-07T20:05:31.6777154Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6777163Z 2023-07-07T20:05:31.6777319Z Mismatched elements: 52 / 96 (54.2%) 2023-07-07T20:05:31.6777538Z Greatest absolute difference: nan at index (0,) (up to 0.001 allowed) 2023-07-07T20:05:31.6777776Z Greatest relative difference: nan at index (0,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6777784Z 2023-07-07T20:05:31.6777892Z ``` 2023-07-07T20:05:31.6778098Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6778629Z - diagnostic_context: 2023-07-07T20:05:31.6778941Z - node: fx.Node(sqrt_54[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6779188Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6779377Z - torch_args: 2023-07-07T20:05:31.6779585Z - torch_kwargs: 2023-07-07T20:05:31.6779800Z - Return value: 2023-07-07T20:05:31.6780252Z [2023-07-07 20:00:31,256] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_54]. 2023-07-07T20:05:31.6780496Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6780504Z 2023-07-07T20:05:31.6780857Z [2023-07-07 20:00:31,256] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6781204Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6781214Z 2023-07-07T20:05:31.6781525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6781988Z - self: 2023-07-07T20:05:31.6782294Z - node: fx.Node(tensor_int_54[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6782487Z - aten_name: 2023-07-07T20:05:31.6782715Z - function_overloads: 2023-07-07T20:05:31.6782911Z - onnx_args: 2023-07-07T20:05:31.6783115Z - onnx_kwargs: 2023-07-07T20:05:31.6783644Z - diagnostic_context: 2023-07-07T20:05:31.6783920Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6784435Z [2023-07-07 20:00:31,268] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_432]. 2023-07-07T20:05:31.6784683Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6784692Z 2023-07-07T20:05:31.6785033Z [2023-07-07 20:00:31,268] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6785381Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6785390Z 2023-07-07T20:05:31.6785704Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6786170Z - self: 2023-07-07T20:05:31.6786566Z - node: fx.Node(unsqueeze_432[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6786760Z - aten_name: 2023-07-07T20:05:31.6786990Z - function_overloads: 2023-07-07T20:05:31.6787208Z - onnx_args: 2023-07-07T20:05:31.6787414Z - onnx_kwargs: 2023-07-07T20:05:31.6787940Z - diagnostic_context: 2023-07-07T20:05:31.6788247Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6788738Z [2023-07-07 20:00:31,271] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_433]. 2023-07-07T20:05:31.6788980Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6788989Z 2023-07-07T20:05:31.6789330Z [2023-07-07 20:00:31,271] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6789676Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6789688Z 2023-07-07T20:05:31.6789989Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6790465Z - self: 2023-07-07T20:05:31.6790820Z - node: fx.Node(unsqueeze_433[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6791017Z - aten_name: 2023-07-07T20:05:31.6791245Z - function_overloads: 2023-07-07T20:05:31.6791444Z - onnx_args: 2023-07-07T20:05:31.6791650Z - onnx_kwargs: 2023-07-07T20:05:31.6792180Z - diagnostic_context: 2023-07-07T20:05:31.6792441Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6792918Z [2023-07-07 20:00:31,274] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_434]. 2023-07-07T20:05:31.6793163Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6793171Z 2023-07-07T20:05:31.6793509Z [2023-07-07 20:00:31,274] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6793863Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6793872Z 2023-07-07T20:05:31.6794186Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6794735Z - self: 2023-07-07T20:05:31.6795106Z - node: fx.Node(unsqueeze_434[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6795297Z - aten_name: 2023-07-07T20:05:31.6795512Z - function_overloads: 2023-07-07T20:05:31.6795710Z - onnx_args: 2023-07-07T20:05:31.6795916Z - onnx_kwargs: 2023-07-07T20:05:31.6796443Z - diagnostic_context: 2023-07-07T20:05:31.6796717Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6797203Z [2023-07-07 20:00:31,277] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_435]. 2023-07-07T20:05:31.6797503Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6797513Z 2023-07-07T20:05:31.6797842Z [2023-07-07 20:00:31,277] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6798189Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6798198Z 2023-07-07T20:05:31.6798512Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6798980Z - self: 2023-07-07T20:05:31.6799335Z - node: fx.Node(unsqueeze_435[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6799568Z - aten_name: 2023-07-07T20:05:31.6799794Z - function_overloads: 2023-07-07T20:05:31.6799993Z - onnx_args: 2023-07-07T20:05:31.6800182Z - onnx_kwargs: 2023-07-07T20:05:31.6800747Z - diagnostic_context: 2023-07-07T20:05:31.6801017Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6801539Z [2023-07-07 20:00:31,288] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_436]. 2023-07-07T20:05:31.6801778Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6801786Z 2023-07-07T20:05:31.6802127Z [2023-07-07 20:00:31,288] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6802472Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6802481Z 2023-07-07T20:05:31.6802799Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6803263Z - self: 2023-07-07T20:05:31.6803608Z - node: fx.Node(unsqueeze_436[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6803812Z - aten_name: 2023-07-07T20:05:31.6804036Z - function_overloads: 2023-07-07T20:05:31.6804239Z - onnx_args: 2023-07-07T20:05:31.6804532Z - onnx_kwargs: 2023-07-07T20:05:31.6805060Z - diagnostic_context: 2023-07-07T20:05:31.6805332Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6805811Z [2023-07-07 20:00:31,290] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_437]. 2023-07-07T20:05:31.6806039Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6806048Z 2023-07-07T20:05:31.6806396Z [2023-07-07 20:00:31,290] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6806742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6806754Z 2023-07-07T20:05:31.6807071Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6807539Z - self: 2023-07-07T20:05:31.6807901Z - node: fx.Node(unsqueeze_437[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6808096Z - aten_name: 2023-07-07T20:05:31.6808324Z - function_overloads: 2023-07-07T20:05:31.6808508Z - onnx_args: 2023-07-07T20:05:31.6808710Z - onnx_kwargs: 2023-07-07T20:05:31.6809239Z - diagnostic_context: 2023-07-07T20:05:31.6809515Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6809997Z [2023-07-07 20:00:31,297] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_438]. 2023-07-07T20:05:31.6810235Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6810246Z 2023-07-07T20:05:31.6810663Z [2023-07-07 20:00:31,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6811007Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6811019Z 2023-07-07T20:05:31.6811327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6811780Z - self: 2023-07-07T20:05:31.6812138Z - node: fx.Node(unsqueeze_438[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6812335Z - aten_name: 2023-07-07T20:05:31.6812565Z - function_overloads: 2023-07-07T20:05:31.6812810Z - onnx_args: 2023-07-07T20:05:31.6813016Z - onnx_kwargs: 2023-07-07T20:05:31.6813545Z - diagnostic_context: 2023-07-07T20:05:31.6813853Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6814331Z [2023-07-07 20:00:31,300] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_439]. 2023-07-07T20:05:31.6814628Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6814636Z 2023-07-07T20:05:31.6814974Z [2023-07-07 20:00:31,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6815326Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6815334Z 2023-07-07T20:05:31.6815647Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6816110Z - self: 2023-07-07T20:05:31.6816463Z - node: fx.Node(unsqueeze_439[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6816657Z - aten_name: 2023-07-07T20:05:31.6816877Z - function_overloads: 2023-07-07T20:05:31.6817079Z - onnx_args: 2023-07-07T20:05:31.6817282Z - onnx_kwargs: 2023-07-07T20:05:31.6817800Z - diagnostic_context: 2023-07-07T20:05:31.6818072Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6818508Z [2023-07-07 20:00:31,316] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_15]. 2023-07-07T20:05:31.6818733Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6818742Z 2023-07-07T20:05:31.6819084Z [2023-07-07 20:00:31,316] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6819421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6819429Z 2023-07-07T20:05:31.6819742Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6820207Z - self: 2023-07-07T20:05:31.6820510Z - node: fx.Node(cat_15[call_function]'aten.cat.default') 2023-07-07T20:05:31.6820706Z - aten_name: 2023-07-07T20:05:31.6820934Z - function_overloads: 2023-07-07T20:05:31.6821132Z - onnx_args: 2023-07-07T20:05:31.6821332Z - onnx_kwargs: 2023-07-07T20:05:31.6821854Z - diagnostic_context: 2023-07-07T20:05:31.6822098Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.6822560Z [2023-07-07 20:00:31,323] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_15]. 2023-07-07T20:05:31.6822804Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6822812Z 2023-07-07T20:05:31.6823153Z [2023-07-07 20:00:31,323] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6823562Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6823572Z 2023-07-07T20:05:31.6823890Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6824354Z - self: 2023-07-07T20:05:31.6824681Z - node: fx.Node(transpose_15[call_function]'aten.transpose.int') 2023-07-07T20:05:31.6824871Z - aten_name: 2023-07-07T20:05:31.6825098Z - function_overloads: 2023-07-07T20:05:31.6825294Z - onnx_args: 2023-07-07T20:05:31.6825495Z - onnx_kwargs: 2023-07-07T20:05:31.6826060Z - diagnostic_context: 2023-07-07T20:05:31.6826425Z - Return value: 2023-07-07T20:05:31.6826878Z [2023-07-07 20:00:31,327] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_15]. 2023-07-07T20:05:31.6827130Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6827173Z 2023-07-07T20:05:31.6827509Z [2023-07-07 20:00:31,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6827852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6827861Z 2023-07-07T20:05:31.6828176Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6828641Z - self: 2023-07-07T20:05:31.6828964Z - node: fx.Node(clone_15[call_function]'aten.clone.default') 2023-07-07T20:05:31.6829162Z - aten_name: 2023-07-07T20:05:31.6829388Z - function_overloads: 2023-07-07T20:05:31.6829573Z - onnx_args: 2023-07-07T20:05:31.6829776Z - onnx_kwargs: 2023-07-07T20:05:31.6830313Z - diagnostic_context: 2023-07-07T20:05:31.6830568Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.6831067Z [2023-07-07 20:00:31,334] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_55]. 2023-07-07T20:05:31.6831313Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6831321Z 2023-07-07T20:05:31.6831663Z [2023-07-07 20:00:31,334] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6832007Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6832016Z 2023-07-07T20:05:31.6832333Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6832777Z - self: 2023-07-07T20:05:31.6833153Z - node: fx.Node(convolution_55[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6833345Z - aten_name: 2023-07-07T20:05:31.6833571Z - function_overloads: 2023-07-07T20:05:31.6833774Z - onnx_args: 2023-07-07T20:05:31.6833977Z - onnx_kwargs: 2023-07-07T20:05:31.6834496Z - diagnostic_context: 2023-07-07T20:05:31.6834920Z - Return value: 2023-07-07T20:05:31.6835420Z [2023-07-07 20:00:31,345] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_55]. 2023-07-07T20:05:31.6835665Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6836010Z [2023-07-07 20:00:31,345] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6836140Z ### Exception log 2023-07-07T20:05:31.6836246Z ``` 2023-07-07T20:05:31.6836411Z Traceback (most recent call last): 2023-07-07T20:05:31.6836422Z 2023-07-07T20:05:31.6837090Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6837289Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6837314Z 2023-07-07T20:05:31.6837756Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6837918Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6837926Z 2023-07-07T20:05:31.6838488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6838655Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6838663Z 2023-07-07T20:05:31.6839155Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6839388Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6839431Z 2023-07-07T20:05:31.6839923Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6840194Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6840203Z 2023-07-07T20:05:31.6840771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6840889Z result = op.Conv( 2023-07-07T20:05:31.6840911Z 2023-07-07T20:05:31.6841397Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6841512Z return op( 2023-07-07T20:05:31.6841521Z 2023-07-07T20:05:31.6841973Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6842191Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6842203Z 2023-07-07T20:05:31.6842658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6842877Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6842887Z 2023-07-07T20:05:31.6843336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6843548Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6843556Z 2023-07-07T20:05:31.6844022Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6844307Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6844331Z 2023-07-07T20:05:31.6844857Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6845014Z node.attribute.extend( 2023-07-07T20:05:31.6845025Z 2023-07-07T20:05:31.6845470Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6845622Z make_attribute(key, value) 2023-07-07T20:05:31.6845632Z 2023-07-07T20:05:31.6846092Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6846226Z raise ValueError( 2023-07-07T20:05:31.6846234Z 2023-07-07T20:05:31.6846533Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6846541Z 2023-07-07T20:05:31.6846644Z ``` 2023-07-07T20:05:31.6846838Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6847378Z - diagnostic_context: 2023-07-07T20:05:31.6847750Z - node: fx.Node(convolution_55[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6848112Z - symbolic_fn: 2023-07-07T20:05:31.6848316Z - torch_args: 2023-07-07T20:05:31.6848601Z - torch_kwargs: 2023-07-07T20:05:31.6848827Z - Return value: 2023-07-07T20:05:31.6849384Z [2023-07-07 20:00:31,350] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_110]. 2023-07-07T20:05:31.6849643Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6849653Z 2023-07-07T20:05:31.6849996Z [2023-07-07 20:00:31,350] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6850340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6850348Z 2023-07-07T20:05:31.6850711Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6851179Z - self: 2023-07-07T20:05:31.6851650Z - node: fx.Node(convert_element_type_110[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6851843Z - aten_name: 2023-07-07T20:05:31.6852118Z - function_overloads: 2023-07-07T20:05:31.6852298Z - onnx_args: 2023-07-07T20:05:31.6852502Z - onnx_kwargs: 2023-07-07T20:05:31.6853032Z - diagnostic_context: 2023-07-07T20:05:31.6853351Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6853896Z [2023-07-07 20:00:31,354] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_111]. 2023-07-07T20:05:31.6854163Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6854178Z 2023-07-07T20:05:31.6854518Z [2023-07-07 20:00:31,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6854868Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6854880Z 2023-07-07T20:05:31.6855194Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6855652Z - self: 2023-07-07T20:05:31.6856081Z - node: fx.Node(convert_element_type_111[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.6856274Z - aten_name: 2023-07-07T20:05:31.6856502Z - function_overloads: 2023-07-07T20:05:31.6856703Z - onnx_args: 2023-07-07T20:05:31.6856905Z - onnx_kwargs: 2023-07-07T20:05:31.6857439Z - diagnostic_context: 2023-07-07T20:05:31.6857754Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.6858180Z [2023-07-07 20:00:31,365] torch.onnx: [WARNING] FX Node: call_function:aten.sqrt.default[name=sqrt_55]. 2023-07-07T20:05:31.6858413Z ONNX Node: aten_sqrt[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6858728Z [2023-07-07 20:00:31,365] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.6858855Z ### Exception log 2023-07-07T20:05:31.6858960Z ``` 2023-07-07T20:05:31.6859124Z Traceback (most recent call last): 2023-07-07T20:05:31.6859133Z 2023-07-07T20:05:31.6859709Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.6859871Z torch.testing.assert_close( 2023-07-07T20:05:31.6859880Z 2023-07-07T20:05:31.6860363Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.6860526Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.6860537Z 2023-07-07T20:05:31.6860810Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.6860821Z 2023-07-07T20:05:31.6860981Z Mismatched elements: 528 / 1024 (51.6%) 2023-07-07T20:05:31.6861254Z Greatest absolute difference: nan at index (4,) (up to 0.001 allowed) 2023-07-07T20:05:31.6861492Z Greatest relative difference: nan at index (4,) (up to 0.0001 allowed) 2023-07-07T20:05:31.6861501Z 2023-07-07T20:05:31.6861601Z ``` 2023-07-07T20:05:31.6861806Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6862327Z - diagnostic_context: 2023-07-07T20:05:31.6862636Z - node: fx.Node(sqrt_55[call_function]'aten.sqrt.default') 2023-07-07T20:05:31.6862882Z - symbolic_fn: `OnnxFunction(aten_sqrt)` 2023-07-07T20:05:31.6863080Z - torch_args: 2023-07-07T20:05:31.6863284Z - torch_kwargs: 2023-07-07T20:05:31.6863555Z - Return value: 2023-07-07T20:05:31.6864003Z [2023-07-07 20:00:31,369] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_55]. 2023-07-07T20:05:31.6864281Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6864293Z 2023-07-07T20:05:31.6864619Z [2023-07-07 20:00:31,369] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6864998Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6865006Z 2023-07-07T20:05:31.6865324Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6865790Z - self: 2023-07-07T20:05:31.6866113Z - node: fx.Node(tensor_int_55[call_function]'aten.tensor.int') 2023-07-07T20:05:31.6866305Z - aten_name: 2023-07-07T20:05:31.6866538Z - function_overloads: 2023-07-07T20:05:31.6866734Z - onnx_args: 2023-07-07T20:05:31.6866926Z - onnx_kwargs: 2023-07-07T20:05:31.6867448Z - diagnostic_context: 2023-07-07T20:05:31.6867729Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:31.6868206Z [2023-07-07 20:00:31,385] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_440]. 2023-07-07T20:05:31.6868449Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6868457Z 2023-07-07T20:05:31.6868794Z [2023-07-07 20:00:31,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6869139Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6869148Z 2023-07-07T20:05:31.6869462Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6869925Z - self: 2023-07-07T20:05:31.6870272Z - node: fx.Node(unsqueeze_440[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6870471Z - aten_name: 2023-07-07T20:05:31.6870701Z - function_overloads: 2023-07-07T20:05:31.6870899Z - onnx_args: 2023-07-07T20:05:31.6871114Z - onnx_kwargs: 2023-07-07T20:05:31.6871650Z - diagnostic_context: 2023-07-07T20:05:31.6871918Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6872394Z [2023-07-07 20:00:31,389] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_441]. 2023-07-07T20:05:31.6872632Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6872641Z 2023-07-07T20:05:31.6872975Z [2023-07-07 20:00:31,389] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6873322Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6873331Z 2023-07-07T20:05:31.6873693Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6874164Z - self: 2023-07-07T20:05:31.6874521Z - node: fx.Node(unsqueeze_441[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6874789Z - aten_name: 2023-07-07T20:05:31.6875019Z - function_overloads: 2023-07-07T20:05:31.6875207Z - onnx_args: 2023-07-07T20:05:31.6875408Z - onnx_kwargs: 2023-07-07T20:05:31.6875948Z - diagnostic_context: 2023-07-07T20:05:31.6876221Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6876747Z [2023-07-07 20:00:31,392] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_442]. 2023-07-07T20:05:31.6876987Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6876995Z 2023-07-07T20:05:31.6877375Z [2023-07-07 20:00:31,392] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6877719Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6877766Z 2023-07-07T20:05:31.6878066Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6878536Z - self: 2023-07-07T20:05:31.6878887Z - node: fx.Node(unsqueeze_442[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6879083Z - aten_name: 2023-07-07T20:05:31.6879308Z - function_overloads: 2023-07-07T20:05:31.6879508Z - onnx_args: 2023-07-07T20:05:31.6879715Z - onnx_kwargs: 2023-07-07T20:05:31.6880242Z - diagnostic_context: 2023-07-07T20:05:31.6880496Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6880985Z [2023-07-07 20:00:31,395] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_443]. 2023-07-07T20:05:31.6881227Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6881236Z 2023-07-07T20:05:31.6881575Z [2023-07-07 20:00:31,395] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6881926Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6881935Z 2023-07-07T20:05:31.6882251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6882713Z - self: 2023-07-07T20:05:31.6883065Z - node: fx.Node(unsqueeze_443[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6883253Z - aten_name: 2023-07-07T20:05:31.6883468Z - function_overloads: 2023-07-07T20:05:31.6883669Z - onnx_args: 2023-07-07T20:05:31.6883877Z - onnx_kwargs: 2023-07-07T20:05:31.6884504Z - diagnostic_context: 2023-07-07T20:05:31.6884788Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6885273Z [2023-07-07 20:00:31,510] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_444]. 2023-07-07T20:05:31.6885511Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6885520Z 2023-07-07T20:05:31.6885843Z [2023-07-07 20:00:31,510] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6886194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6886202Z 2023-07-07T20:05:31.6886515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6887039Z - self: 2023-07-07T20:05:31.6887398Z - node: fx.Node(unsqueeze_444[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6887600Z - aten_name: 2023-07-07T20:05:31.6887831Z - function_overloads: 2023-07-07T20:05:31.6888034Z - onnx_args: 2023-07-07T20:05:31.6888219Z - onnx_kwargs: 2023-07-07T20:05:31.6888749Z - diagnostic_context: 2023-07-07T20:05:31.6889019Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6889514Z [2023-07-07 20:00:31,514] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_445]. 2023-07-07T20:05:31.6889801Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6889811Z 2023-07-07T20:05:31.6890157Z [2023-07-07 20:00:31,514] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6890556Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6890564Z 2023-07-07T20:05:31.6890882Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6891388Z - self: 2023-07-07T20:05:31.6891728Z - node: fx.Node(unsqueeze_445[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6891924Z - aten_name: 2023-07-07T20:05:31.6892153Z - function_overloads: 2023-07-07T20:05:31.6892352Z - onnx_args: 2023-07-07T20:05:31.6892552Z - onnx_kwargs: 2023-07-07T20:05:31.6893081Z - diagnostic_context: 2023-07-07T20:05:31.6893354Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6893843Z [2023-07-07 20:00:31,566] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_446]. 2023-07-07T20:05:31.6894084Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6894092Z 2023-07-07T20:05:31.6894438Z [2023-07-07 20:00:31,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6894785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6894793Z 2023-07-07T20:05:31.6895103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6895568Z - self: 2023-07-07T20:05:31.6895920Z - node: fx.Node(unsqueeze_446[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6896119Z - aten_name: 2023-07-07T20:05:31.6896347Z - function_overloads: 2023-07-07T20:05:31.6896533Z - onnx_args: 2023-07-07T20:05:31.6896739Z - onnx_kwargs: 2023-07-07T20:05:31.6897276Z - diagnostic_context: 2023-07-07T20:05:31.6897547Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6898034Z [2023-07-07 20:00:31,570] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_447]. 2023-07-07T20:05:31.6898272Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6898280Z 2023-07-07T20:05:31.6898621Z [2023-07-07 20:00:31,570] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6898967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6898975Z 2023-07-07T20:05:31.6899292Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6899748Z - self: 2023-07-07T20:05:31.6900105Z - node: fx.Node(unsqueeze_447[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.6900340Z - aten_name: 2023-07-07T20:05:31.6900570Z - function_overloads: 2023-07-07T20:05:31.6900769Z - onnx_args: 2023-07-07T20:05:31.6900971Z - onnx_kwargs: 2023-07-07T20:05:31.6901496Z - diagnostic_context: 2023-07-07T20:05:31.6901753Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.6901882Z XFAIL [116.7301s] [ 18%] 2023-07-07T20:05:31.6902344Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_sigmoid_add PASSED [0.1938s] [ 19%] 2023-07-07T20:05:31.6902822Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_simple_function PASSED [0.1321s] [ 20%] 2023-07-07T20:05:31.6903684Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_slice [2023-07-07 20:01:59,703] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:31.6903990Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6903999Z 2023-07-07T20:05:31.6904342Z [2023-07-07 20:01:59,703] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6904688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6904697Z 2023-07-07T20:05:31.6905008Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6905475Z - self: 2023-07-07T20:05:31.6905779Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6905975Z - aten_name: 2023-07-07T20:05:31.6906198Z - function_overloads: 2023-07-07T20:05:31.6906401Z - onnx_args: 2023-07-07T20:05:31.6906601Z - onnx_kwargs: 2023-07-07T20:05:31.6907135Z - diagnostic_context: 2023-07-07T20:05:31.6907502Z - Return value: 2023-07-07T20:05:31.6907908Z [2023-07-07 20:01:59,710] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:31.6908151Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6908160Z 2023-07-07T20:05:31.6908497Z [2023-07-07 20:01:59,710] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6908847Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6908859Z 2023-07-07T20:05:31.6909174Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6909634Z - self: 2023-07-07T20:05:31.6909940Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:31.6910134Z - aten_name: 2023-07-07T20:05:31.6910363Z - function_overloads: 2023-07-07T20:05:31.6910543Z - onnx_args: 2023-07-07T20:05:31.6910745Z - onnx_kwargs: 2023-07-07T20:05:31.6911345Z - diagnostic_context: 2023-07-07T20:05:31.6911618Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.6912053Z [2023-07-07 20:01:59,712] torch.onnx: [WARNING] FX Node: call_function:[name=sub]. 2023-07-07T20:05:31.6912276Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6912288Z 2023-07-07T20:05:31.6912633Z [2023-07-07 20:01:59,712] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6912978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6913029Z 2023-07-07T20:05:31.6913334Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6913806Z - self: 2023-07-07T20:05:31.6914130Z - node: fx.Node(sub[call_function]'') 2023-07-07T20:05:31.6914332Z - aten_name: 2023-07-07T20:05:31.6914564Z - function_overloads: 2023-07-07T20:05:31.6914833Z - onnx_args: 2023-07-07T20:05:31.6915033Z - onnx_kwargs: 2023-07-07T20:05:31.6915569Z - diagnostic_context: 2023-07-07T20:05:31.6915844Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:31.6916285Z [2023-07-07 20:01:59,714] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:31.6916560Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6916572Z 2023-07-07T20:05:31.6916912Z [2023-07-07 20:01:59,714] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6917302Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6917311Z 2023-07-07T20:05:31.6917636Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6918098Z - self: 2023-07-07T20:05:31.6918411Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6918594Z - aten_name: 2023-07-07T20:05:31.6918819Z - function_overloads: 2023-07-07T20:05:31.6919026Z - onnx_args: 2023-07-07T20:05:31.6919227Z - onnx_kwargs: 2023-07-07T20:05:31.6919760Z - diagnostic_context: 2023-07-07T20:05:31.6920139Z - Return value: 2023-07-07T20:05:31.6920564Z [2023-07-07 20:01:59,721] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:31.6920804Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6920813Z 2023-07-07T20:05:31.6921138Z [2023-07-07 20:01:59,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6921487Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6921495Z 2023-07-07T20:05:31.6921811Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6922279Z - self: 2023-07-07T20:05:31.6922585Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:31.6922783Z - aten_name: 2023-07-07T20:05:31.6923015Z - function_overloads: 2023-07-07T20:05:31.6923213Z - onnx_args: 2023-07-07T20:05:31.6923401Z - onnx_kwargs: 2023-07-07T20:05:31.6923938Z - diagnostic_context: 2023-07-07T20:05:31.6924205Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:31.6924740Z [2023-07-07 20:01:59,723] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:31.6924969Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6924980Z 2023-07-07T20:05:31.6925326Z [2023-07-07 20:01:59,723] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6925675Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6925685Z 2023-07-07T20:05:31.6925998Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6926542Z - self: 2023-07-07T20:05:31.6926845Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6927039Z - aten_name: 2023-07-07T20:05:31.6927267Z - function_overloads: 2023-07-07T20:05:31.6927464Z - onnx_args: 2023-07-07T20:05:31.6927669Z - onnx_kwargs: 2023-07-07T20:05:31.6928193Z - diagnostic_context: 2023-07-07T20:05:31.6928562Z - Return value: 2023-07-07T20:05:31.6929024Z [2023-07-07 20:01:59,731] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:31.6929255Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6929264Z 2023-07-07T20:05:31.6929602Z [2023-07-07 20:01:59,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6929996Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6930079Z 2023-07-07T20:05:31.6930391Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6930859Z - self: 2023-07-07T20:05:31.6931165Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6931360Z - aten_name: 2023-07-07T20:05:31.6931590Z - function_overloads: 2023-07-07T20:05:31.6931777Z - onnx_args: 2023-07-07T20:05:31.6931980Z - onnx_kwargs: 2023-07-07T20:05:31.6932514Z - diagnostic_context: 2023-07-07T20:05:31.6932878Z - Return value: 2023-07-07T20:05:31.6933330Z [2023-07-07 20:01:59,738] torch.onnx: [WARNING] FX Node: call_function:[name=sub_1]. 2023-07-07T20:05:31.6933556Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6933567Z 2023-07-07T20:05:31.6933908Z [2023-07-07 20:01:59,738] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6934249Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6934257Z 2023-07-07T20:05:31.6934556Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6935019Z - self: 2023-07-07T20:05:31.6935339Z - node: fx.Node(sub_1[call_function]'') 2023-07-07T20:05:31.6935537Z - aten_name: 2023-07-07T20:05:31.6935765Z - function_overloads: 2023-07-07T20:05:31.6935968Z - onnx_args: 2023-07-07T20:05:31.6936174Z - onnx_kwargs: 2023-07-07T20:05:31.6936709Z - diagnostic_context: 2023-07-07T20:05:31.6936942Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:31.6937380Z [2023-07-07 20:01:59,740] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:31.6937608Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6937616Z 2023-07-07T20:05:31.6937958Z [2023-07-07 20:01:59,740] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6938301Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6938310Z 2023-07-07T20:05:31.6938624Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6939089Z - self: 2023-07-07T20:05:31.6939443Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6939624Z - aten_name: 2023-07-07T20:05:31.6939854Z - function_overloads: 2023-07-07T20:05:31.6940054Z - onnx_args: 2023-07-07T20:05:31.6940254Z - onnx_kwargs: 2023-07-07T20:05:31.6940787Z - diagnostic_context: 2023-07-07T20:05:31.6941151Z - Return value: 2023-07-07T20:05:31.6941594Z [2023-07-07 20:01:59,748] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:31.6941826Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6941834Z 2023-07-07T20:05:31.6942197Z [2023-07-07 20:01:59,748] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6942545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6942587Z 2023-07-07T20:05:31.6942903Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6943404Z - self: 2023-07-07T20:05:31.6943715Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6943913Z - aten_name: 2023-07-07T20:05:31.6944141Z - function_overloads: 2023-07-07T20:05:31.6944343Z - onnx_args: 2023-07-07T20:05:31.6944527Z - onnx_kwargs: 2023-07-07T20:05:31.6945058Z - diagnostic_context: 2023-07-07T20:05:31.6945424Z - Return value: 2023-07-07T20:05:31.6945861Z [2023-07-07 20:01:59,758] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:31.6946085Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6946095Z 2023-07-07T20:05:31.6946437Z [2023-07-07 20:01:59,758] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6946788Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6946797Z 2023-07-07T20:05:31.6947114Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6947580Z - self: 2023-07-07T20:05:31.6947881Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6948076Z - aten_name: 2023-07-07T20:05:31.6948302Z - function_overloads: 2023-07-07T20:05:31.6948501Z - onnx_args: 2023-07-07T20:05:31.6948703Z - onnx_kwargs: 2023-07-07T20:05:31.6949235Z - diagnostic_context: 2023-07-07T20:05:31.6949605Z - Return value: 2023-07-07T20:05:31.6950033Z [2023-07-07 20:01:59,768] torch.onnx: [WARNING] FX Node: call_function:[name=sub_2]. 2023-07-07T20:05:31.6950257Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6950268Z 2023-07-07T20:05:31.6950611Z [2023-07-07 20:01:59,768] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6950954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6950965Z 2023-07-07T20:05:31.6951281Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6951749Z - self: 2023-07-07T20:05:31.6952068Z - node: fx.Node(sub_2[call_function]'') 2023-07-07T20:05:31.6952261Z - aten_name: 2023-07-07T20:05:31.6952491Z - function_overloads: 2023-07-07T20:05:31.6952717Z - onnx_args: 2023-07-07T20:05:31.6952920Z - onnx_kwargs: 2023-07-07T20:05:31.6953453Z - diagnostic_context: 2023-07-07T20:05:31.6953699Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:31.6954136Z [2023-07-07 20:01:59,770] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:31.6954362Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6954371Z 2023-07-07T20:05:31.6954801Z [2023-07-07 20:01:59,770] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6955205Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6955214Z 2023-07-07T20:05:31.6955518Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6956021Z - self: 2023-07-07T20:05:31.6956329Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6956561Z - aten_name: 2023-07-07T20:05:31.6956788Z - function_overloads: 2023-07-07T20:05:31.6956987Z - onnx_args: 2023-07-07T20:05:31.6957188Z - onnx_kwargs: 2023-07-07T20:05:31.6957726Z - diagnostic_context: 2023-07-07T20:05:31.6958084Z - Return value: 2023-07-07T20:05:31.6958516Z [2023-07-07 20:01:59,778] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:31.6958744Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6958752Z 2023-07-07T20:05:31.6959093Z [2023-07-07 20:01:59,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6959445Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6959458Z 2023-07-07T20:05:31.6959770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6960232Z - self: 2023-07-07T20:05:31.6960544Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6960726Z - aten_name: 2023-07-07T20:05:31.6960954Z - function_overloads: 2023-07-07T20:05:31.6961147Z - onnx_args: 2023-07-07T20:05:31.6961351Z - onnx_kwargs: 2023-07-07T20:05:31.6961888Z - diagnostic_context: 2023-07-07T20:05:31.6962249Z - Return value: 2023-07-07T20:05:31.6962675Z [2023-07-07 20:01:59,786] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:31.6962882Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6962891Z 2023-07-07T20:05:31.6963180Z [2023-07-07 20:01:59,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6963476Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6963485Z 2023-07-07T20:05:31.6963783Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6964256Z - self: 2023-07-07T20:05:31.6964664Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.6964869Z - aten_name: 2023-07-07T20:05:31.6965096Z - function_overloads: 2023-07-07T20:05:31.6965296Z - onnx_args: 2023-07-07T20:05:31.6965488Z - onnx_kwargs: 2023-07-07T20:05:31.6966106Z - diagnostic_context: 2023-07-07T20:05:31.6966481Z - Return value: 2023-07-07T20:05:31.6966619Z PASSED [0.6639s] [ 21%] 2023-07-07T20:05:31.6967073Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_squeeze_runtime_dim XFAIL [0.0238s] [ 22%] 2023-07-07T20:05:31.6968037Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_transpose_infer_shape [2023-07-07 20:02:00,413] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.6968337Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6968348Z 2023-07-07T20:05:31.6968699Z [2023-07-07 20:02:00,413] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6969087Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6969099Z 2023-07-07T20:05:31.6969411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6969909Z - self: 2023-07-07T20:05:31.6970274Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6970469Z - aten_name: 2023-07-07T20:05:31.6970695Z - function_overloads: 2023-07-07T20:05:31.6970892Z - onnx_args: 2023-07-07T20:05:31.6971093Z - onnx_kwargs: 2023-07-07T20:05:31.6971614Z - diagnostic_context: 2023-07-07T20:05:31.6971966Z - Return value: 2023-07-07T20:05:31.6972456Z [2023-07-07 20:02:00,419] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.6972707Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6973055Z [2023-07-07 20:02:00,420] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.6973188Z ### Exception log 2023-07-07T20:05:31.6973291Z ``` 2023-07-07T20:05:31.6973456Z Traceback (most recent call last): 2023-07-07T20:05:31.6973465Z 2023-07-07T20:05:31.6974051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.6974244Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.6974268Z 2023-07-07T20:05:31.6974713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.6974877Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.6974885Z 2023-07-07T20:05:31.6975442Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.6975611Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.6975622Z 2023-07-07T20:05:31.6976080Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.6976313Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.6976322Z 2023-07-07T20:05:31.6976808Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.6977038Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.6977047Z 2023-07-07T20:05:31.6977633Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.6977750Z result = op.Conv( 2023-07-07T20:05:31.6977758Z 2023-07-07T20:05:31.6978289Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.6978415Z return op( 2023-07-07T20:05:31.6978423Z 2023-07-07T20:05:31.6978876Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.6979097Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.6979106Z 2023-07-07T20:05:31.6979562Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.6979786Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6985973Z 2023-07-07T20:05:31.6986482Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.6986748Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.6986760Z 2023-07-07T20:05:31.6987240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.6987547Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.6987594Z 2023-07-07T20:05:31.6988037Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.6988179Z node.attribute.extend( 2023-07-07T20:05:31.6988202Z 2023-07-07T20:05:31.6988633Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.6988787Z make_attribute(key, value) 2023-07-07T20:05:31.6988795Z 2023-07-07T20:05:31.6989257Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.6989621Z raise ValueError( 2023-07-07T20:05:31.6989633Z 2023-07-07T20:05:31.6989934Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.6989942Z 2023-07-07T20:05:31.6990047Z ``` 2023-07-07T20:05:31.6990245Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.6990787Z - diagnostic_context: 2023-07-07T20:05:31.6991156Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.6991522Z - symbolic_fn: 2023-07-07T20:05:31.6991728Z - torch_args: 2023-07-07T20:05:31.6991932Z - torch_kwargs: 2023-07-07T20:05:31.6992156Z - Return value: 2023-07-07T20:05:31.6992603Z [2023-07-07 20:02:00,421] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:31.6992848Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6992859Z 2023-07-07T20:05:31.6993202Z [2023-07-07 20:02:00,421] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6993552Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6993563Z 2023-07-07T20:05:31.6993874Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.6994349Z - self: 2023-07-07T20:05:31.6994750Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:31.6994950Z - aten_name: 2023-07-07T20:05:31.6995181Z - function_overloads: 2023-07-07T20:05:31.6995365Z - onnx_args: 2023-07-07T20:05:31.6995572Z - onnx_kwargs: 2023-07-07T20:05:31.6996111Z - diagnostic_context: 2023-07-07T20:05:31.6996485Z - Return value: 2023-07-07T20:05:31.6996622Z PASSED [0.6118s] [ 23%] 2023-07-07T20:05:31.6997124Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_view_dynamic_zero_dim PASSED [0.1417s] [ 24%] 2023-07-07T20:05:31.6997590Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_True::test_xfail_func_with_non_tensor_args XFAIL [0.1750s] [ 25%] 2023-07-07T20:05:31.6998006Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_add PASSED [0.0874s] [ 25%] 2023-07-07T20:05:31.6998856Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_arange [2023-07-07 20:02:00,985] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange]. 2023-07-07T20:05:31.6999141Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.6999182Z 2023-07-07T20:05:31.6999531Z [2023-07-07 20:02:00,985] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.6999882Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.6999891Z 2023-07-07T20:05:31.7000210Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7000714Z - self: 2023-07-07T20:05:31.7001035Z - node: fx.Node(arange[call_function]'aten.arange.default') 2023-07-07T20:05:31.7001232Z - aten_name: 2023-07-07T20:05:31.7001466Z - function_overloads: 2023-07-07T20:05:31.7001650Z - onnx_args: 2023-07-07T20:05:31.7001851Z - onnx_kwargs: 2023-07-07T20:05:31.7002389Z - diagnostic_context: 2023-07-07T20:05:31.7002759Z - Return value: 2023-07-07T20:05:31.7003217Z [2023-07-07 20:02:00,990] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange_1]. 2023-07-07T20:05:31.7003454Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7003463Z 2023-07-07T20:05:31.7003802Z [2023-07-07 20:02:00,990] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7004154Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7004163Z 2023-07-07T20:05:31.7004589Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7005036Z - self: 2023-07-07T20:05:31.7005374Z - node: fx.Node(arange_1[call_function]'aten.arange.default') 2023-07-07T20:05:31.7005573Z - aten_name: 2023-07-07T20:05:31.7005804Z - function_overloads: 2023-07-07T20:05:31.7006000Z - onnx_args: 2023-07-07T20:05:31.7006203Z - onnx_kwargs: 2023-07-07T20:05:31.7006741Z - diagnostic_context: 2023-07-07T20:05:31.7007097Z - Return value: 2023-07-07T20:05:31.7007547Z [2023-07-07 20:02:00,994] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start[name=arange_2]. 2023-07-07T20:05:31.7007792Z ONNX Node: aten_arange_start[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7007801Z 2023-07-07T20:05:31.7008145Z [2023-07-07 20:02:00,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7008492Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7008504Z 2023-07-07T20:05:31.7008826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7009291Z - self: 2023-07-07T20:05:31.7009609Z - node: fx.Node(arange_2[call_function]'aten.arange.start') 2023-07-07T20:05:31.7009863Z - aten_name: 2023-07-07T20:05:31.7010078Z - function_overloads: 2023-07-07T20:05:31.7010277Z - onnx_args: 2023-07-07T20:05:31.7010485Z - onnx_kwargs: 2023-07-07T20:05:31.7011015Z - diagnostic_context: 2023-07-07T20:05:31.7011385Z - Return value: 2023-07-07T20:05:31.7012005Z 2023-07-07 20:02:01.001421930 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7012726Z 2023-07-07 20:02:01.001456707 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7013342Z 2023-07-07 20:02:01.001468022 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7013947Z 2023-07-07 20:02:01.001478724 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7014606Z 2023-07-07 20:02:01.001498255 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7015215Z 2023-07-07 20:02:01.001667037 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7015834Z 2023-07-07 20:02:01.001678991 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7016455Z 2023-07-07 20:02:01.001689489 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7017063Z 2023-07-07 20:02:01.001699893 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7017678Z 2023-07-07 20:02:01.001709929 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7018281Z 2023-07-07 20:02:01.001855467 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7018888Z 2023-07-07 20:02:01.001867389 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7019513Z 2023-07-07 20:02:01.001877669 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7020134Z 2023-07-07 20:02:01.001888153 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7020736Z 2023-07-07 20:02:01.001898201 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7021350Z 2023-07-07 20:02:01.002041060 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7021952Z 2023-07-07 20:02:01.002052814 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7022572Z 2023-07-07 20:02:01.002062959 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7023209Z 2023-07-07 20:02:01.002073186 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7023819Z 2023-07-07 20:02:01.002083103 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7024427Z 2023-07-07 20:02:01.002224914 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7025036Z 2023-07-07 20:02:01.002236220 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7025725Z 2023-07-07 20:02:01.002246572 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7026312Z 2023-07-07 20:02:01.002256780 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7026921Z 2023-07-07 20:02:01.002266830 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7027572Z 2023-07-07 20:02:01.002410196 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7028178Z 2023-07-07 20:02:01.002421696 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7028797Z 2023-07-07 20:02:01.002431919 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7029393Z 2023-07-07 20:02:01.002446155 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7030017Z 2023-07-07 20:02:01.002456321 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7030625Z 2023-07-07 20:02:01.002596720 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7031239Z 2023-07-07 20:02:01.002608059 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7031847Z 2023-07-07 20:02:01.002618168 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7032463Z 2023-07-07 20:02:01.002628454 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7033067Z 2023-07-07 20:02:01.002638502 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7033688Z 2023-07-07 20:02:01.002780749 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7034301Z 2023-07-07 20:02:01.002791972 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7034972Z 2023-07-07 20:02:01.002802128 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7035586Z 2023-07-07 20:02:01.002812389 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7036239Z 2023-07-07 20:02:01.002822594 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7036849Z 2023-07-07 20:02:01.002964353 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7037455Z 2023-07-07 20:02:01.002975352 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7038067Z 2023-07-07 20:02:01.002985434 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7038758Z 2023-07-07 20:02:01.002995855 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7039373Z 2023-07-07 20:02:01.003005916 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7039972Z 2023-07-07 20:02:01.003146277 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:31.7040626Z 2023-07-07 20:02:01.003157344 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:31.7041243Z 2023-07-07 20:02:01.003167542 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:31.7041854Z 2023-07-07 20:02:01.003177790 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:31.7042472Z 2023-07-07 20:02:01.003187867 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:31.7042612Z PASSED [0.1063s] [ 26%] 2023-07-07T20:05:31.7043497Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_expand_as_fill_seperate_tensor [2023-07-07 20:02:01,061] torch.onnx: [ERROR] Running Functionalize pass. Raised from: 2023-07-07T20:05:31.7044060Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:31.7044521Z [2023-07-07 20:02:01,061] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T20:05:31.7044970Z - self: 2023-07-07T20:05:31.7045156Z - args: 2023-07-07T20:05:31.7045283Z ### Exception log 2023-07-07T20:05:31.7045388Z ``` 2023-07-07T20:05:31.7045555Z Traceback (most recent call last): 2023-07-07T20:05:31.7045565Z 2023-07-07T20:05:31.7046131Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7046296Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7046304Z 2023-07-07T20:05:31.7046775Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T20:05:31.7046920Z module = self._run(*args, **kwargs) 2023-07-07T20:05:31.7046928Z 2023-07-07T20:05:31.7047354Z File "<@beartype(torch.onnx._internal.fx.passes.functionalization.Functionalize._run) at 0x7f6710265670>", line 10, in _run 2023-07-07T20:05:31.7047366Z 2023-07-07T20:05:31.7047922Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 105, in _run 2023-07-07T20:05:31.7048097Z graph_module = proxy_tensor.make_fx( 2023-07-07T20:05:31.7048105Z 2023-07-07T20:05:31.7048674Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T20:05:31.7049007Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T20:05:31.7049019Z 2023-07-07T20:05:31.7049455Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T20:05:31.7049681Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T20:05:31.7049690Z 2023-07-07T20:05:31.7050149Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:31.7050344Z return fn(*args, **kwargs) 2023-07-07T20:05:31.7050352Z 2023-07-07T20:05:31.7050848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:31.7050993Z return fn(*args, **kwargs) 2023-07-07T20:05:31.7051001Z 2023-07-07T20:05:31.7051538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T20:05:31.7051730Z graph = tracer.trace(root, concrete_args) 2023-07-07T20:05:31.7051784Z 2023-07-07T20:05:31.7052244Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:31.7052387Z return fn(*args, **kwargs) 2023-07-07T20:05:31.7052397Z 2023-07-07T20:05:31.7052870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:31.7053016Z return fn(*args, **kwargs) 2023-07-07T20:05:31.7053028Z 2023-07-07T20:05:31.7053497Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T20:05:31.7053638Z (self.create_arg(fn(*args)),), 2023-07-07T20:05:31.7053658Z 2023-07-07T20:05:31.7054150Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T20:05:31.7054282Z out = f(*tensors) 2023-07-07T20:05:31.7054289Z 2023-07-07T20:05:31.7054445Z File "", line 1, in 2023-07-07T20:05:31.7054456Z 2023-07-07T20:05:31.7055019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 91, in wrapped 2023-07-07T20:05:31.7055188Z pytree.tree_map(torch._sync, out) 2023-07-07T20:05:31.7055196Z 2023-07-07T20:05:31.7055652Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T20:05:31.7055872Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:31.7055883Z 2023-07-07T20:05:31.7056351Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T20:05:31.7056564Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:31.7056572Z 2023-07-07T20:05:31.7057125Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:31.7057137Z 2023-07-07T20:05:31.7057230Z ``` 2023-07-07T20:05:31.7057354Z XFAIL [0.0661s] [ 27%] 2023-07-07T20:05:31.7058262Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_expand_as_fill_tensor [2023-07-07 20:02:01,190] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:31.7058493Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7058504Z 2023-07-07T20:05:31.7058848Z [2023-07-07 20:02:01,190] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7059205Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7059216Z 2023-07-07T20:05:31.7059579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7060051Z - self: 2023-07-07T20:05:31.7060367Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7060547Z - aten_name: 2023-07-07T20:05:31.7060781Z - function_overloads: 2023-07-07T20:05:31.7060979Z - onnx_args: 2023-07-07T20:05:31.7061182Z - onnx_kwargs: 2023-07-07T20:05:31.7061710Z - diagnostic_context: 2023-07-07T20:05:31.7062133Z - Return value: 2023-07-07T20:05:31.7062615Z [2023-07-07 20:02:01,199] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:31.7062844Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7062853Z 2023-07-07T20:05:31.7063183Z [2023-07-07 20:02:01,199] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7063526Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7063570Z 2023-07-07T20:05:31.7063883Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7064352Z - self: 2023-07-07T20:05:31.7064668Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7064860Z - aten_name: 2023-07-07T20:05:31.7065091Z - function_overloads: 2023-07-07T20:05:31.7065287Z - onnx_args: 2023-07-07T20:05:31.7065478Z - onnx_kwargs: 2023-07-07T20:05:31.7066009Z - diagnostic_context: 2023-07-07T20:05:31.7066378Z - Return value: 2023-07-07T20:05:31.7066814Z [2023-07-07 20:02:01,215] torch.onnx: [WARNING] FX Node: call_function:aten.copy.default[name=copy]. 2023-07-07T20:05:31.7067043Z ONNX Node: aten_copy[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7067364Z [2023-07-07 20:02:01,215] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.7067492Z ### Exception log 2023-07-07T20:05:31.7067584Z ``` 2023-07-07T20:05:31.7067749Z Traceback (most recent call last): 2023-07-07T20:05:31.7067757Z 2023-07-07T20:05:31.7068343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.7068507Z torch.testing.assert_close( 2023-07-07T20:05:31.7068516Z 2023-07-07T20:05:31.7069014Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.7069175Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.7069183Z 2023-07-07T20:05:31.7069613Z AssertionError: The values for attribute 'dtype' do not match: torch.int64 != torch.float32. 2023-07-07T20:05:31.7069621Z 2023-07-07T20:05:31.7069728Z ``` 2023-07-07T20:05:31.7069942Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7070465Z - diagnostic_context: 2023-07-07T20:05:31.7070775Z - node: fx.Node(copy[call_function]'aten.copy.default') 2023-07-07T20:05:31.7071026Z - symbolic_fn: `OnnxFunction(aten_copy)` 2023-07-07T20:05:31.7071233Z - torch_args: 2023-07-07T20:05:31.7071441Z - torch_kwargs: 2023-07-07T20:05:31.7071671Z - Return value: 2023-07-07T20:05:31.7072117Z [2023-07-07 20:02:01,217] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:31.7072353Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7072361Z 2023-07-07T20:05:31.7072727Z [2023-07-07 20:02:01,217] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7073079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7073091Z 2023-07-07T20:05:31.7073406Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7073871Z - self: 2023-07-07T20:05:31.7074190Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7074380Z - aten_name: 2023-07-07T20:05:31.7074682Z - function_overloads: 2023-07-07T20:05:31.7074944Z - onnx_args: 2023-07-07T20:05:31.7075129Z - onnx_kwargs: 2023-07-07T20:05:31.7075706Z - diagnostic_context: 2023-07-07T20:05:31.7076076Z - Return value: 2023-07-07T20:05:31.7076570Z [2023-07-07 20:02:01,225] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7076862Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7076871Z 2023-07-07T20:05:31.7077209Z [2023-07-07 20:02:01,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7077556Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7077565Z 2023-07-07T20:05:31.7077889Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7078357Z - self: 2023-07-07T20:05:31.7078710Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.7078901Z - aten_name: 2023-07-07T20:05:31.7079133Z - function_overloads: 2023-07-07T20:05:31.7079334Z - onnx_args: 2023-07-07T20:05:31.7079540Z - onnx_kwargs: 2023-07-07T20:05:31.7080070Z - diagnostic_context: 2023-07-07T20:05:31.7080435Z - Return value: 2023-07-07T20:05:31.7081287Z 2023-07-07 20:02:01.231196586 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7081768Z [2023-07-07 20:02:01,231] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7082045Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7082861Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7083275Z [2023-07-07 20:02:01,231] torch.onnx: [ERROR] ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7083819Z - diagnostic_context: 2023-07-07T20:05:31.7084186Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.7084623Z - symbolic_fn: 2023-07-07T20:05:31.7084831Z - torch_args: 2023-07-07T20:05:31.7085026Z - torch_kwargs: 2023-07-07T20:05:31.7085158Z ### Exception log 2023-07-07T20:05:31.7085265Z ``` 2023-07-07T20:05:31.7085427Z Traceback (most recent call last): 2023-07-07T20:05:31.7085435Z 2023-07-07T20:05:31.7085987Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7086148Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7086156Z 2023-07-07T20:05:31.7086807Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7087019Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7087028Z 2023-07-07T20:05:31.7087485Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7087632Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7087640Z 2023-07-07T20:05:31.7088207Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.7088551Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.7088560Z 2023-07-07T20:05:31.7089006Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7089239Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7089248Z 2023-07-07T20:05:31.7089726Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7090003Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7090011Z 2023-07-07T20:05:31.7090594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.7090821Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.7090832Z 2023-07-07T20:05:31.7091376Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.7091480Z return op( 2023-07-07T20:05:31.7091503Z 2023-07-07T20:05:31.7091951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7092170Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7092179Z 2023-07-07T20:05:31.7092631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7092855Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7092863Z 2023-07-07T20:05:31.7093318Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7093531Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7093539Z 2023-07-07T20:05:31.7094009Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.7094208Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.7094217Z 2023-07-07T20:05:31.7094765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.7094986Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.7095009Z 2023-07-07T20:05:31.7095963Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7095987Z 2023-07-07T20:05:31.7096079Z ``` 2023-07-07T20:05:31.7096594Z [2023-07-07 20:02:01,232] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.7096944Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7097219Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7098089Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7098436Z [2023-07-07 20:02:01,232] torch.onnx: [ERROR] ### PyTorch source information 2023-07-07T20:05:31.7098545Z ``` 2023-07-07T20:05:31.7098786Z File "onnx/test_fx_to_onnx_with_onnxruntime.py", line 539, in forward 2023-07-07T20:05:31.7098943Z x[:, x.size(0) :] = torch.tensor([1, 2, 3]) 2023-07-07T20:05:31.7098951Z 2023-07-07T20:05:31.7099053Z ``` 2023-07-07T20:05:31.7099265Z ### Function Signature FxOnnxInterpreter.run_node 2023-07-07T20:05:31.7099680Z - self: 2023-07-07T20:05:31.7100096Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.7100422Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.7100963Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.7101179Z - op_level_debug: 2023-07-07T20:05:31.7101648Z - onnxscript_graph: 2023-07-07T20:05:31.7102228Z - onnxscript_tracer: 2023-07-07T20:05:31.7102487Z - fx_name_to_onnxscript_value: 2023-07-07T20:05:31.7102615Z ### Exception log 2023-07-07T20:05:31.7102721Z ``` 2023-07-07T20:05:31.7102884Z Traceback (most recent call last): 2023-07-07T20:05:31.7102892Z 2023-07-07T20:05:31.7103453Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7103601Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7103626Z 2023-07-07T20:05:31.7104195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7104404Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7104413Z 2023-07-07T20:05:31.7104868Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7105033Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7105041Z 2023-07-07T20:05:31.7105605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.7105873Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.7105881Z 2023-07-07T20:05:31.7106330Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7106569Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7106578Z 2023-07-07T20:05:31.7107060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7107345Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7107354Z 2023-07-07T20:05:31.7107923Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.7108155Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.7108163Z 2023-07-07T20:05:31.7108698Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.7108819Z return op( 2023-07-07T20:05:31.7108827Z 2023-07-07T20:05:31.7109283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7109505Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7109513Z 2023-07-07T20:05:31.7109973Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7110251Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7110261Z 2023-07-07T20:05:31.7110727Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7110944Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7110956Z 2023-07-07T20:05:31.7111405Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.7111597Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.7111605Z 2023-07-07T20:05:31.7112151Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.7112460Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.7112468Z 2023-07-07T20:05:31.7113449Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7113460Z 2023-07-07T20:05:31.7113520Z 2023-07-07T20:05:31.7113764Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.7113772Z 2023-07-07T20:05:31.7113780Z 2023-07-07T20:05:31.7113945Z Traceback (most recent call last): 2023-07-07T20:05:31.7113953Z 2023-07-07T20:05:31.7114507Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7114749Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7114761Z 2023-07-07T20:05:31.7115297Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.7115438Z self.call_function( 2023-07-07T20:05:31.7115446Z 2023-07-07T20:05:31.7115867Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.7115875Z 2023-07-07T20:05:31.7116404Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.7116612Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.7116620Z 2023-07-07T20:05:31.7117011Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.7117019Z 2023-07-07T20:05:31.7117565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.7117736Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.7117744Z 2023-07-07T20:05:31.7118332Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.7118525Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.7118535Z 2023-07-07T20:05:31.7119078Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7119351Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7120156Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7120170Z 2023-07-07T20:05:31.7120287Z ``` 2023-07-07T20:05:31.7120656Z [2023-07-07 20:02:01,232] torch.onnx: [ERROR] FxOnnxInterpreter.run. Raised from: 2023-07-07T20:05:31.7121031Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.7121420Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7121693Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7122513Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7122921Z [2023-07-07 20:02:01,232] torch.onnx: [ERROR] ### Function Signature FxOnnxInterpreter.run 2023-07-07T20:05:31.7123334Z - self: 2023-07-07T20:05:31.7123667Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.7124253Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.7124542Z - op_level_debug: 2023-07-07T20:05:31.7124670Z ### Exception log 2023-07-07T20:05:31.7124773Z ``` 2023-07-07T20:05:31.7124940Z Traceback (most recent call last): 2023-07-07T20:05:31.7124952Z 2023-07-07T20:05:31.7125512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7125755Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7125764Z 2023-07-07T20:05:31.7126342Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7126556Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7126564Z 2023-07-07T20:05:31.7127019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7127167Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7127176Z 2023-07-07T20:05:31.7127742Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.7127987Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.7127995Z 2023-07-07T20:05:31.7128443Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7128678Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7128686Z 2023-07-07T20:05:31.7129176Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7129411Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7129422Z 2023-07-07T20:05:31.7130005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.7130237Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.7130245Z 2023-07-07T20:05:31.7130785Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.7130894Z return op( 2023-07-07T20:05:31.7130902Z 2023-07-07T20:05:31.7131357Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7131573Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7131582Z 2023-07-07T20:05:31.7132034Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7132261Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7132272Z 2023-07-07T20:05:31.7132733Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7132947Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7132955Z 2023-07-07T20:05:31.7133426Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.7133676Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.7133685Z 2023-07-07T20:05:31.7134237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.7134445Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.7134456Z 2023-07-07T20:05:31.7135423Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7135478Z 2023-07-07T20:05:31.7135504Z 2023-07-07T20:05:31.7135782Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.7135791Z 2023-07-07T20:05:31.7135799Z 2023-07-07T20:05:31.7135962Z Traceback (most recent call last): 2023-07-07T20:05:31.7135970Z 2023-07-07T20:05:31.7136531Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7136731Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7136739Z 2023-07-07T20:05:31.7137275Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.7137411Z self.call_function( 2023-07-07T20:05:31.7137420Z 2023-07-07T20:05:31.7137830Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.7137840Z 2023-07-07T20:05:31.7138389Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.7138597Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.7138605Z 2023-07-07T20:05:31.7139004Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.7139015Z 2023-07-07T20:05:31.7139568Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.7139716Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.7139724Z 2023-07-07T20:05:31.7140306Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.7140496Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.7140507Z 2023-07-07T20:05:31.7141042Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7141312Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7142133Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7142144Z 2023-07-07T20:05:31.7142151Z 2023-07-07T20:05:31.7142402Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.7142411Z 2023-07-07T20:05:31.7142418Z 2023-07-07T20:05:31.7142582Z Traceback (most recent call last): 2023-07-07T20:05:31.7142590Z 2023-07-07T20:05:31.7143139Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7143301Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7143309Z 2023-07-07T20:05:31.7143838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 456, in run 2023-07-07T20:05:31.7143962Z self.run_node( 2023-07-07T20:05:31.7143970Z 2023-07-07T20:05:31.7144349Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.run_node) at 0x7f670b6e3dc0>", line 126, in run_node 2023-07-07T20:05:31.7144358Z 2023-07-07T20:05:31.7144852Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.7144995Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.7145003Z 2023-07-07T20:05:31.7145596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.7145791Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.7145851Z 2023-07-07T20:05:31.7146447Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.7146796Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7147073Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7147887Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7147933Z 2023-07-07T20:05:31.7148032Z ``` 2023-07-07T20:05:31.7148143Z XFAIL [0.4651s] [ 28%] 2023-07-07T20:05:31.7149040Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_expand_as_fill_zero [2023-07-07 20:02:01,687] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:31.7149276Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7149289Z 2023-07-07T20:05:31.7149632Z [2023-07-07 20:02:01,688] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7149982Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7149991Z 2023-07-07T20:05:31.7150306Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7150781Z - self: 2023-07-07T20:05:31.7151102Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7151296Z - aten_name: 2023-07-07T20:05:31.7151516Z - function_overloads: 2023-07-07T20:05:31.7151716Z - onnx_args: 2023-07-07T20:05:31.7151923Z - onnx_kwargs: 2023-07-07T20:05:31.7152457Z - diagnostic_context: 2023-07-07T20:05:31.7152834Z - Return value: 2023-07-07T20:05:31.7153282Z [2023-07-07 20:02:01,696] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:31.7153515Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7153523Z 2023-07-07T20:05:31.7153866Z [2023-07-07 20:02:01,696] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7154206Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7154229Z 2023-07-07T20:05:31.7154538Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7155079Z - self: 2023-07-07T20:05:31.7155395Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7155593Z - aten_name: 2023-07-07T20:05:31.7155823Z - function_overloads: 2023-07-07T20:05:31.7156027Z - onnx_args: 2023-07-07T20:05:31.7156232Z - onnx_kwargs: 2023-07-07T20:05:31.7156800Z - diagnostic_context: 2023-07-07T20:05:31.7157172Z - Return value: 2023-07-07T20:05:31.7157612Z [2023-07-07 20:02:01,711] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:31.7157840Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7157849Z 2023-07-07T20:05:31.7158196Z [2023-07-07 20:02:01,711] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7158544Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7158615Z 2023-07-07T20:05:31.7158933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7159436Z - self: 2023-07-07T20:05:31.7159755Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7159936Z - aten_name: 2023-07-07T20:05:31.7160167Z - function_overloads: 2023-07-07T20:05:31.7160362Z - onnx_args: 2023-07-07T20:05:31.7160605Z - onnx_kwargs: 2023-07-07T20:05:31.7161136Z - diagnostic_context: 2023-07-07T20:05:31.7161504Z - Return value: 2023-07-07T20:05:31.7161992Z [2023-07-07 20:02:01,719] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7162228Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7162255Z 2023-07-07T20:05:31.7162585Z [2023-07-07 20:02:01,719] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7162934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7162943Z 2023-07-07T20:05:31.7163265Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7163730Z - self: 2023-07-07T20:05:31.7164092Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.7164293Z - aten_name: 2023-07-07T20:05:31.7164700Z - function_overloads: 2023-07-07T20:05:31.7164907Z - onnx_args: 2023-07-07T20:05:31.7165093Z - onnx_kwargs: 2023-07-07T20:05:31.7165627Z - diagnostic_context: 2023-07-07T20:05:31.7165999Z - Return value: 2023-07-07T20:05:31.7166870Z 2023-07-07 20:02:01.725220410 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7167356Z [2023-07-07 20:02:01,725] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7167626Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7168440Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7168858Z [2023-07-07 20:02:01,725] torch.onnx: [ERROR] ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7169394Z - diagnostic_context: 2023-07-07T20:05:31.7169744Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.7170110Z - symbolic_fn: 2023-07-07T20:05:31.7170320Z - torch_args: 2023-07-07T20:05:31.7170599Z - torch_kwargs: 2023-07-07T20:05:31.7170723Z ### Exception log 2023-07-07T20:05:31.7170830Z ``` 2023-07-07T20:05:31.7170998Z Traceback (most recent call last): 2023-07-07T20:05:31.7171007Z 2023-07-07T20:05:31.7171568Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7171715Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7171723Z 2023-07-07T20:05:31.7172299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7172562Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7172571Z 2023-07-07T20:05:31.7173066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7173232Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7173240Z 2023-07-07T20:05:31.7173801Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.7174093Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.7174102Z 2023-07-07T20:05:31.7174559Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7174795Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7174803Z 2023-07-07T20:05:31.7175278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7175502Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7175513Z 2023-07-07T20:05:31.7176095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.7176329Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.7176337Z 2023-07-07T20:05:31.7176878Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.7177006Z return op( 2023-07-07T20:05:31.7177014Z 2023-07-07T20:05:31.7177475Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7177693Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7177702Z 2023-07-07T20:05:31.7178159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7178386Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7178397Z 2023-07-07T20:05:31.7178856Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7179050Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7179058Z 2023-07-07T20:05:31.7179532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.7188431Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.7188450Z 2023-07-07T20:05:31.7189076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.7189311Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.7189323Z 2023-07-07T20:05:31.7190318Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7190333Z 2023-07-07T20:05:31.7190442Z ``` 2023-07-07T20:05:31.7191053Z [2023-07-07 20:02:01,726] torch.onnx: [ERROR] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.7191405Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7191685Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7192492Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7192845Z [2023-07-07 20:02:01,726] torch.onnx: [ERROR] ### PyTorch source information 2023-07-07T20:05:31.7193000Z ``` 2023-07-07T20:05:31.7193245Z File "onnx/test_fx_to_onnx_with_onnxruntime.py", line 522, in forward 2023-07-07T20:05:31.7193413Z x[:, x.size(0) :] = 0 2023-07-07T20:05:31.7193423Z 2023-07-07T20:05:31.7193524Z ``` 2023-07-07T20:05:31.7193741Z ### Function Signature FxOnnxInterpreter.run_node 2023-07-07T20:05:31.7194161Z - self: 2023-07-07T20:05:31.7194511Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:31.7194931Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.7195480Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.7195694Z - op_level_debug: 2023-07-07T20:05:31.7196173Z - onnxscript_graph: 2023-07-07T20:05:31.7196720Z - onnxscript_tracer: 2023-07-07T20:05:31.7196992Z - fx_name_to_onnxscript_value: 2023-07-07T20:05:31.7197106Z ### Exception log 2023-07-07T20:05:31.7197208Z ``` 2023-07-07T20:05:31.7197375Z Traceback (most recent call last): 2023-07-07T20:05:31.7197384Z 2023-07-07T20:05:31.7197939Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7198099Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7198112Z 2023-07-07T20:05:31.7198700Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7198910Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7198919Z 2023-07-07T20:05:31.7199375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7199537Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7199549Z 2023-07-07T20:05:31.7200115Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.7200341Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.7200351Z 2023-07-07T20:05:31.7200801Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7201033Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7201047Z 2023-07-07T20:05:31.7201527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7201758Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7201767Z 2023-07-07T20:05:31.7202347Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.7202576Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.7202585Z 2023-07-07T20:05:31.7203126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.7203246Z return op( 2023-07-07T20:05:31.7203254Z 2023-07-07T20:05:31.7203750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7203958Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7203968Z 2023-07-07T20:05:31.7204534Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7204759Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7204768Z 2023-07-07T20:05:31.7205223Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7205533Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7205541Z 2023-07-07T20:05:31.7206054Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.7206251Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.7206261Z 2023-07-07T20:05:31.7206818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.7207106Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.7207114Z 2023-07-07T20:05:31.7208097Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7208106Z 2023-07-07T20:05:31.7208113Z 2023-07-07T20:05:31.7208362Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.7208370Z 2023-07-07T20:05:31.7208377Z 2023-07-07T20:05:31.7208544Z Traceback (most recent call last): 2023-07-07T20:05:31.7208552Z 2023-07-07T20:05:31.7209086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7209248Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7209256Z 2023-07-07T20:05:31.7209789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.7209928Z self.call_function( 2023-07-07T20:05:31.7209937Z 2023-07-07T20:05:31.7210352Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.7210360Z 2023-07-07T20:05:31.7210919Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.7211128Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.7211139Z 2023-07-07T20:05:31.7211544Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.7211552Z 2023-07-07T20:05:31.7212105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.7212270Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.7212279Z 2023-07-07T20:05:31.7212864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.7213039Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.7213047Z 2023-07-07T20:05:31.7213585Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7213863Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7214684Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7214742Z 2023-07-07T20:05:31.7214847Z ``` 2023-07-07T20:05:31.7215232Z [2023-07-07 20:02:01,726] torch.onnx: [ERROR] FxOnnxInterpreter.run. Raised from: 2023-07-07T20:05:31.7215604Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.7215950Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7216221Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7217066Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7217490Z [2023-07-07 20:02:01,726] torch.onnx: [ERROR] ### Function Signature FxOnnxInterpreter.run 2023-07-07T20:05:31.7217911Z - self: 2023-07-07T20:05:31.7218203Z - fx_graph_module: torch.fx.GraphModule() 2023-07-07T20:05:31.7218749Z - onnxfunction_dispatcher: 2023-07-07T20:05:31.7219004Z - op_level_debug: 2023-07-07T20:05:31.7219135Z ### Exception log 2023-07-07T20:05:31.7219240Z ``` 2023-07-07T20:05:31.7219390Z Traceback (most recent call last): 2023-07-07T20:05:31.7219413Z 2023-07-07T20:05:31.7219959Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7220122Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7220130Z 2023-07-07T20:05:31.7220718Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7220928Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7220937Z 2023-07-07T20:05:31.7221392Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7221557Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7221565Z 2023-07-07T20:05:31.7222138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5800, in aten_slice_scatter 2023-07-07T20:05:31.7222385Z return _aten_slice_scatter_onnx(self, src, start, end, step, dim, perm) 2023-07-07T20:05:31.7222393Z 2023-07-07T20:05:31.7222842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7223080Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7223092Z 2023-07-07T20:05:31.7223562Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7223795Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7223807Z 2023-07-07T20:05:31.7224384Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 5830, in _aten_slice_scatter_onnx 2023-07-07T20:05:31.7224613Z return op.ScatterElements(self, indices, src, axis=dim) 2023-07-07T20:05:31.7224623Z 2023-07-07T20:05:31.7225162Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset18.py", line 1599, in ScatterElements 2023-07-07T20:05:31.7225282Z return op( 2023-07-07T20:05:31.7225290Z 2023-07-07T20:05:31.7225702Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7225927Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7225940Z 2023-07-07T20:05:31.7226399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7226625Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7226677Z 2023-07-07T20:05:31.7227122Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7227338Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7227349Z 2023-07-07T20:05:31.7227818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 472, in _call_ort 2023-07-07T20:05:31.7228009Z result = session.run(None, session_run_input) 2023-07-07T20:05:31.7228018Z 2023-07-07T20:05:31.7228567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run 2023-07-07T20:05:31.7228871Z return self._sess.run(output_names, input_feed, run_options) 2023-07-07T20:05:31.7228880Z 2023-07-07T20:05:31.7229858Z onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7229868Z 2023-07-07T20:05:31.7229910Z 2023-07-07T20:05:31.7230159Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.7230168Z 2023-07-07T20:05:31.7230175Z 2023-07-07T20:05:31.7230341Z Traceback (most recent call last): 2023-07-07T20:05:31.7230349Z 2023-07-07T20:05:31.7230909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7231069Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7231080Z 2023-07-07T20:05:31.7231615Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 397, in run_node 2023-07-07T20:05:31.7231749Z self.call_function( 2023-07-07T20:05:31.7231756Z 2023-07-07T20:05:31.7232178Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.call_function) at 0x7f670b6e9160>", line 107, in call_function 2023-07-07T20:05:31.7232186Z 2023-07-07T20:05:31.7232731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 600, in call_function 2023-07-07T20:05:31.7232939Z op_validation.validate_op_between_ort_torch( 2023-07-07T20:05:31.7232949Z 2023-07-07T20:05:31.7233351Z File "<@beartype(torch.onnx._internal.fx.op_validation.validate_op_between_ort_torch) at 0x7f670b6c3ca0>", line 114, in validate_op_between_ort_torch 2023-07-07T20:05:31.7233360Z 2023-07-07T20:05:31.7233911Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.7234081Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.7234090Z 2023-07-07T20:05:31.7234757Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.7234957Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.7234965Z 2023-07-07T20:05:31.7235505Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7235781Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7236596Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7236620Z 2023-07-07T20:05:31.7236630Z 2023-07-07T20:05:31.7236863Z The above exception was the direct cause of the following exception: 2023-07-07T20:05:31.7236886Z 2023-07-07T20:05:31.7236899Z 2023-07-07T20:05:31.7237047Z Traceback (most recent call last): 2023-07-07T20:05:31.7237055Z 2023-07-07T20:05:31.7237668Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:31.7237830Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:31.7237843Z 2023-07-07T20:05:31.7238364Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/fx_onnx_interpreter.py", line 456, in run 2023-07-07T20:05:31.7238494Z self.run_node( 2023-07-07T20:05:31.7238502Z 2023-07-07T20:05:31.7238899Z File "<@beartype(torch.onnx._internal.fx.fx_onnx_interpreter.FxOnnxInterpreter.run_node) at 0x7f670b6e3dc0>", line 126, in run_node 2023-07-07T20:05:31.7238907Z 2023-07-07T20:05:31.7239458Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 142, in wrapper 2023-07-07T20:05:31.7239688Z ctx.log_and_raise_if_error(diag) 2023-07-07T20:05:31.7239697Z 2023-07-07T20:05:31.7240276Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/context.py", line 265, in log_and_raise_if_error 2023-07-07T20:05:31.7240474Z raise RuntimeErrorWithDiagnostic( 2023-07-07T20:05:31.7240482Z 2023-07-07T20:05:31.7241026Z torch.onnx._internal.diagnostics.infra.context.RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. Raised from: 2023-07-07T20:05:31.7241406Z RuntimeErrorWithDiagnostic: FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:31.7241674Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib].Raised from: 2023-07-07T20:05:31.7242480Z InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Non-zero status code returned while running ScatterElements node. Name:'' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:31.7242492Z 2023-07-07T20:05:31.7242596Z ``` 2023-07-07T20:05:31.7242712Z XFAIL [0.4357s] [ 29%] 2023-07-07T20:05:31.7243172Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_flatten_dynamic_axes PASSED [0.0830s] [ 30%] 2023-07-07T20:05:31.7243636Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_func_with_args_and_tensor_kwargs XFAIL [0.0493s] [ 31%] 2023-07-07T20:05:31.7244659Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_func_with_nested_input_structure [2023-07-07 20:02:02,359] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_1]. 2023-07-07T20:05:31.7244909Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7244921Z 2023-07-07T20:05:31.7245269Z [2023-07-07 20:02:02,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7245625Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7245634Z 2023-07-07T20:05:31.7245948Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7246431Z - self: 2023-07-07T20:05:31.7246735Z - node: fx.Node(sum_1[call_function]'aten.sum.default') 2023-07-07T20:05:31.7246923Z - aten_name: 2023-07-07T20:05:31.7247150Z - function_overloads: 2023-07-07T20:05:31.7247349Z - onnx_args: 2023-07-07T20:05:31.7247535Z - onnx_kwargs: 2023-07-07T20:05:31.7248062Z - diagnostic_context: 2023-07-07T20:05:31.7248430Z - Return value: 2023-07-07T20:05:31.7248865Z [2023-07-07 20:02:02,374] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_2]. 2023-07-07T20:05:31.7249120Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7249128Z 2023-07-07T20:05:31.7249455Z [2023-07-07 20:02:02,374] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7249866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7249878Z 2023-07-07T20:05:31.7250195Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7250659Z - self: 2023-07-07T20:05:31.7250963Z - node: fx.Node(sum_2[call_function]'aten.sum.default') 2023-07-07T20:05:31.7251158Z - aten_name: 2023-07-07T20:05:31.7251386Z - function_overloads: 2023-07-07T20:05:31.7251656Z - onnx_args: 2023-07-07T20:05:31.7251848Z - onnx_kwargs: 2023-07-07T20:05:31.7252420Z - diagnostic_context: 2023-07-07T20:05:31.7252788Z - Return value: 2023-07-07T20:05:31.7252924Z PASSED [0.2885s] [ 32%] 2023-07-07T20:05:31.7253413Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_func_with_nested_output_structure PASSED [0.1139s] [ 33%] 2023-07-07T20:05:31.7254405Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_gpt2_tiny Some weights of the model checkpoint at sshleifer/tiny-gpt2 were not used when initializing GPT2Model: ['lm_head.weight'] 2023-07-07T20:05:31.7255283Z - This IS expected if you are initializing GPT2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2023-07-07T20:05:31.7256181Z - This IS NOT expected if you are initializing GPT2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2023-07-07T20:05:31.7256658Z [2023-07-07 20:02:04,693] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:31.7256904Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7256914Z 2023-07-07T20:05:31.7257242Z [2023-07-07 20:02:04,693] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7257588Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7257597Z 2023-07-07T20:05:31.7257910Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7258379Z - self: 2023-07-07T20:05:31.7258727Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.7258924Z - aten_name: 2023-07-07T20:05:31.7259152Z - function_overloads: 2023-07-07T20:05:31.7259350Z - onnx_args: 2023-07-07T20:05:31.7259544Z - onnx_kwargs: 2023-07-07T20:05:31.7260070Z - diagnostic_context: 2023-07-07T20:05:31.7260343Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.7260788Z [2023-07-07 20:02:04,704] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:31.7261017Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7261026Z 2023-07-07T20:05:31.7261367Z [2023-07-07 20:02:04,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7261715Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7261728Z 2023-07-07T20:05:31.7262041Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7262504Z - self: 2023-07-07T20:05:31.7262844Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7263039Z - aten_name: 2023-07-07T20:05:31.7263268Z - function_overloads: 2023-07-07T20:05:31.7263467Z - onnx_args: 2023-07-07T20:05:31.7263671Z - onnx_kwargs: 2023-07-07T20:05:31.7264202Z - diagnostic_context: 2023-07-07T20:05:31.7264566Z - Return value: 2023-07-07T20:05:31.7265041Z [2023-07-07 20:02:04,713] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:31.7265349Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7265359Z 2023-07-07T20:05:31.7265697Z [2023-07-07 20:02:04,713] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7266046Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7266054Z 2023-07-07T20:05:31.7266362Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7266865Z - self: 2023-07-07T20:05:31.7267216Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.7267409Z - aten_name: 2023-07-07T20:05:31.7267631Z - function_overloads: 2023-07-07T20:05:31.7267815Z - onnx_args: 2023-07-07T20:05:31.7268022Z - onnx_kwargs: 2023-07-07T20:05:31.7268548Z - diagnostic_context: 2023-07-07T20:05:31.7268825Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.7269301Z [2023-07-07 20:02:04,717] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:31.7269548Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7269557Z 2023-07-07T20:05:31.7269895Z [2023-07-07 20:02:04,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7270244Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7270252Z 2023-07-07T20:05:31.7270563Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7271014Z - self: 2023-07-07T20:05:31.7271369Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.7271564Z - aten_name: 2023-07-07T20:05:31.7271793Z - function_overloads: 2023-07-07T20:05:31.7271989Z - onnx_args: 2023-07-07T20:05:31.7272192Z - onnx_kwargs: 2023-07-07T20:05:31.7272720Z - diagnostic_context: 2023-07-07T20:05:31.7272977Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.7273429Z [2023-07-07 20:02:04,721] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:31.7273657Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7273666Z 2023-07-07T20:05:31.7274005Z [2023-07-07 20:02:04,721] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7274352Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7274364Z 2023-07-07T20:05:31.7274753Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7275227Z - self: 2023-07-07T20:05:31.7275543Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7275739Z - aten_name: 2023-07-07T20:05:31.7275995Z - function_overloads: 2023-07-07T20:05:31.7276193Z - onnx_args: 2023-07-07T20:05:31.7276393Z - onnx_kwargs: 2023-07-07T20:05:31.7276927Z - diagnostic_context: 2023-07-07T20:05:31.7277293Z - Return value: 2023-07-07T20:05:31.7277828Z [2023-07-07 20:02:04,727] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:31.7278097Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7278145Z 2023-07-07T20:05:31.7278519Z [2023-07-07 20:02:04,727] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7278853Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7278861Z 2023-07-07T20:05:31.7279181Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7279652Z - self: 2023-07-07T20:05:31.7280106Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.7280299Z - aten_name: 2023-07-07T20:05:31.7280528Z - function_overloads: 2023-07-07T20:05:31.7280727Z - onnx_args: 2023-07-07T20:05:31.7280926Z - onnx_kwargs: 2023-07-07T20:05:31.7281436Z - diagnostic_context: 2023-07-07T20:05:31.7281753Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.7282219Z [2023-07-07 20:02:04,752] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding]. 2023-07-07T20:05:31.7282457Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7282807Z [2023-07-07 20:02:04,752] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7282936Z ### Exception log 2023-07-07T20:05:31.7283044Z ``` 2023-07-07T20:05:31.7283195Z Traceback (most recent call last): 2023-07-07T20:05:31.7283217Z 2023-07-07T20:05:31.7283788Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 81, in validate_op_between_ort_torch 2023-07-07T20:05:31.7284066Z expected_outputs = node.target(*torch_args, **torch_kwargs) # type: ignore[operator] 2023-07-07T20:05:31.7284074Z 2023-07-07T20:05:31.7284595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 437, in __call__ 2023-07-07T20:05:31.7284772Z return self._op(*args, **kwargs or {}) 2023-07-07T20:05:31.7284781Z 2023-07-07T20:05:31.7284949Z IndexError: index out of range in self 2023-07-07T20:05:31.7284957Z 2023-07-07T20:05:31.7285063Z ``` 2023-07-07T20:05:31.7285268Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7285803Z - diagnostic_context: 2023-07-07T20:05:31.7286136Z - node: fx.Node(embedding[call_function]'aten.embedding.default') 2023-07-07T20:05:31.7286402Z - symbolic_fn: `OnnxFunction(aten_embedding)` 2023-07-07T20:05:31.7286606Z - torch_args: 2023-07-07T20:05:31.7286816Z - torch_kwargs: 2023-07-07T20:05:31.7287038Z - Return value: 2023-07-07T20:05:31.7287513Z [2023-07-07 20:02:04,763] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding_1]. 2023-07-07T20:05:31.7287755Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7288102Z [2023-07-07 20:02:04,763] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7288210Z ### Exception log 2023-07-07T20:05:31.7288312Z ``` 2023-07-07T20:05:31.7288471Z Traceback (most recent call last): 2023-07-07T20:05:31.7288482Z 2023-07-07T20:05:31.7289121Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 81, in validate_op_between_ort_torch 2023-07-07T20:05:31.7289407Z expected_outputs = node.target(*torch_args, **torch_kwargs) # type: ignore[operator] 2023-07-07T20:05:31.7289416Z 2023-07-07T20:05:31.7289845Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 437, in __call__ 2023-07-07T20:05:31.7290018Z return self._op(*args, **kwargs or {}) 2023-07-07T20:05:31.7290030Z 2023-07-07T20:05:31.7290200Z IndexError: index out of range in self 2023-07-07T20:05:31.7290250Z 2023-07-07T20:05:31.7290338Z ``` 2023-07-07T20:05:31.7290545Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7291121Z - diagnostic_context: 2023-07-07T20:05:31.7291471Z - node: fx.Node(embedding_1[call_function]'aten.embedding.default') 2023-07-07T20:05:31.7291745Z - symbolic_fn: `OnnxFunction(aten_embedding)` 2023-07-07T20:05:31.7291948Z - torch_args: 2023-07-07T20:05:31.7292157Z - torch_kwargs: 2023-07-07T20:05:31.7292421Z - Return value: 2023-07-07T20:05:31.7292847Z [2023-07-07 20:02:04,775] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm]. 2023-07-07T20:05:31.7293073Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7293083Z 2023-07-07T20:05:31.7293384Z [2023-07-07 20:02:04,775] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7293688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7293699Z 2023-07-07T20:05:31.7293977Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7294390Z - self: 2023-07-07T20:05:31.7294731Z - node: fx.Node(native_layer_norm[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7294900Z - aten_name: 2023-07-07T20:05:31.7295103Z - function_overloads: 2023-07-07T20:05:31.7295263Z - onnx_args: 2023-07-07T20:05:31.7295435Z - onnx_kwargs: 2023-07-07T20:05:31.7295899Z - diagnostic_context: 2023-07-07T20:05:31.7296220Z - Return value: 2023-07-07T20:05:31.7296604Z [2023-07-07 20:02:04,851] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:31.7296808Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7296819Z 2023-07-07T20:05:31.7297117Z [2023-07-07 20:02:04,851] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7297426Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7297435Z 2023-07-07T20:05:31.7297698Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7298107Z - self: 2023-07-07T20:05:31.7298377Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.7298549Z - aten_name: 2023-07-07T20:05:31.7298750Z - function_overloads: 2023-07-07T20:05:31.7298926Z - onnx_args: 2023-07-07T20:05:31.7299104Z - onnx_kwargs: 2023-07-07T20:05:31.7299552Z - diagnostic_context: 2023-07-07T20:05:31.7299780Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.7300184Z [2023-07-07 20:02:04,856] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T20:05:31.7300430Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7300439Z 2023-07-07T20:05:31.7300740Z [2023-07-07 20:02:04,856] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7301046Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7301054Z 2023-07-07T20:05:31.7301328Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7301734Z - self: 2023-07-07T20:05:31.7302038Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T20:05:31.7302233Z - aten_name: 2023-07-07T20:05:31.7302466Z - function_overloads: 2023-07-07T20:05:31.7302643Z - onnx_args: 2023-07-07T20:05:31.7302822Z - onnx_kwargs: 2023-07-07T20:05:31.7303292Z - diagnostic_context: 2023-07-07T20:05:31.7303524Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7303934Z [2023-07-07 20:02:04,857] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T20:05:31.7304177Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7304185Z 2023-07-07T20:05:31.7304468Z [2023-07-07 20:02:04,858] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7304772Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7304783Z 2023-07-07T20:05:31.7305058Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7305467Z - self: 2023-07-07T20:05:31.7305770Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T20:05:31.7305941Z - aten_name: 2023-07-07T20:05:31.7306144Z - function_overloads: 2023-07-07T20:05:31.7306324Z - onnx_args: 2023-07-07T20:05:31.7306491Z - onnx_kwargs: 2023-07-07T20:05:31.7306949Z - diagnostic_context: 2023-07-07T20:05:31.7307178Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7307592Z [2023-07-07 20:02:04,859] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_5]. 2023-07-07T20:05:31.7307795Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7307805Z 2023-07-07T20:05:31.7308105Z [2023-07-07 20:02:04,859] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7308411Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7308419Z 2023-07-07T20:05:31.7308700Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7309108Z - self: 2023-07-07T20:05:31.7309403Z - node: fx.Node(getitem_5[call_function]'') 2023-07-07T20:05:31.7309577Z - aten_name: 2023-07-07T20:05:31.7309776Z - function_overloads: 2023-07-07T20:05:31.7309951Z - onnx_args: 2023-07-07T20:05:31.7310128Z - onnx_kwargs: 2023-07-07T20:05:31.7310584Z - diagnostic_context: 2023-07-07T20:05:31.7310818Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7311205Z [2023-07-07 20:02:04,869] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute]. 2023-07-07T20:05:31.7311408Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7311415Z 2023-07-07T20:05:31.7311753Z [2023-07-07 20:02:04,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7312055Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7312066Z 2023-07-07T20:05:31.7312340Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7312753Z - self: 2023-07-07T20:05:31.7313044Z - node: fx.Node(permute[call_function]'aten.permute.default') 2023-07-07T20:05:31.7313214Z - aten_name: 2023-07-07T20:05:31.7313450Z - function_overloads: 2023-07-07T20:05:31.7313611Z - onnx_args: 2023-07-07T20:05:31.7313785Z - onnx_kwargs: 2023-07-07T20:05:31.7314275Z - diagnostic_context: 2023-07-07T20:05:31.7314508Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7314997Z [2023-07-07 20:02:04,882] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_1]. 2023-07-07T20:05:31.7315203Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7315247Z 2023-07-07T20:05:31.7315549Z [2023-07-07 20:02:04,882] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7315851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7315860Z 2023-07-07T20:05:31.7316118Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7316527Z - self: 2023-07-07T20:05:31.7316828Z - node: fx.Node(permute_1[call_function]'aten.permute.default') 2023-07-07T20:05:31.7317001Z - aten_name: 2023-07-07T20:05:31.7317202Z - function_overloads: 2023-07-07T20:05:31.7317379Z - onnx_args: 2023-07-07T20:05:31.7317558Z - onnx_kwargs: 2023-07-07T20:05:31.7318018Z - diagnostic_context: 2023-07-07T20:05:31.7318236Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7318640Z [2023-07-07 20:02:04,904] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_2]. 2023-07-07T20:05:31.7318842Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7318851Z 2023-07-07T20:05:31.7319148Z [2023-07-07 20:02:04,904] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7319455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7319466Z 2023-07-07T20:05:31.7319740Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7320146Z - self: 2023-07-07T20:05:31.7320448Z - node: fx.Node(permute_2[call_function]'aten.permute.default') 2023-07-07T20:05:31.7320606Z - aten_name: 2023-07-07T20:05:31.7320808Z - function_overloads: 2023-07-07T20:05:31.7320984Z - onnx_args: 2023-07-07T20:05:31.7321162Z - onnx_kwargs: 2023-07-07T20:05:31.7321620Z - diagnostic_context: 2023-07-07T20:05:31.7321851Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7322248Z [2023-07-07 20:02:04,907] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:31.7322462Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7322474Z 2023-07-07T20:05:31.7322756Z [2023-07-07 20:02:04,907] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7323060Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7323105Z 2023-07-07T20:05:31.7323382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7323787Z - self: 2023-07-07T20:05:31.7324075Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:31.7324244Z - aten_name: 2023-07-07T20:05:31.7324542Z - function_overloads: 2023-07-07T20:05:31.7324723Z - onnx_args: 2023-07-07T20:05:31.7324890Z - onnx_kwargs: 2023-07-07T20:05:31.7325418Z - diagnostic_context: 2023-07-07T20:05:31.7325780Z - Return value: 2023-07-07T20:05:31.7326158Z [2023-07-07 20:02:04,983] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T20:05:31.7326365Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7326374Z 2023-07-07T20:05:31.7326672Z [2023-07-07 20:02:04,983] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7327015Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7327025Z 2023-07-07T20:05:31.7327297Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7327698Z - self: 2023-07-07T20:05:31.7327949Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T20:05:31.7328125Z - aten_name: 2023-07-07T20:05:31.7328328Z - function_overloads: 2023-07-07T20:05:31.7328500Z - onnx_args: 2023-07-07T20:05:31.7328679Z - onnx_kwargs: 2023-07-07T20:05:31.7329136Z - diagnostic_context: 2023-07-07T20:05:31.7329356Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7329730Z [2023-07-07 20:02:04,991] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:31.7329930Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7329938Z 2023-07-07T20:05:31.7330230Z [2023-07-07 20:02:04,991] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7330531Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7330540Z 2023-07-07T20:05:31.7330815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7331219Z - self: 2023-07-07T20:05:31.7331491Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7331661Z - aten_name: 2023-07-07T20:05:31.7331861Z - function_overloads: 2023-07-07T20:05:31.7332022Z - onnx_args: 2023-07-07T20:05:31.7332197Z - onnx_kwargs: 2023-07-07T20:05:31.7332664Z - diagnostic_context: 2023-07-07T20:05:31.7332983Z - Return value: 2023-07-07T20:05:31.7333366Z [2023-07-07 20:02:05,043] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:31.7333565Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7333573Z 2023-07-07T20:05:31.7333873Z [2023-07-07 20:02:05,043] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7334182Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7334190Z 2023-07-07T20:05:31.7334452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7334906Z - self: 2023-07-07T20:05:31.7335180Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7335348Z - aten_name: 2023-07-07T20:05:31.7335548Z - function_overloads: 2023-07-07T20:05:31.7335726Z - onnx_args: 2023-07-07T20:05:31.7335902Z - onnx_kwargs: 2023-07-07T20:05:31.7336359Z - diagnostic_context: 2023-07-07T20:05:31.7336661Z - Return value: 2023-07-07T20:05:31.7337126Z [2023-07-07 20:02:05,143] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:31.7337325Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7337333Z 2023-07-07T20:05:31.7337631Z [2023-07-07 20:02:05,143] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7337937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7337979Z 2023-07-07T20:05:31.7338251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7338659Z - self: 2023-07-07T20:05:31.7338936Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7339093Z - aten_name: 2023-07-07T20:05:31.7339292Z - function_overloads: 2023-07-07T20:05:31.7339466Z - onnx_args: 2023-07-07T20:05:31.7339642Z - onnx_kwargs: 2023-07-07T20:05:31.7340105Z - diagnostic_context: 2023-07-07T20:05:31.7340424Z - Return value: 2023-07-07T20:05:31.7340811Z [2023-07-07 20:02:05,222] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:31.7341013Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7341024Z 2023-07-07T20:05:31.7341305Z [2023-07-07 20:02:05,222] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7341606Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7341614Z 2023-07-07T20:05:31.7341889Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7342298Z - self: 2023-07-07T20:05:31.7342576Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7342748Z - aten_name: 2023-07-07T20:05:31.7342950Z - function_overloads: 2023-07-07T20:05:31.7343124Z - onnx_args: 2023-07-07T20:05:31.7343288Z - onnx_kwargs: 2023-07-07T20:05:31.7343755Z - diagnostic_context: 2023-07-07T20:05:31.7344075Z - Return value: 2023-07-07T20:05:31.7344542Z [2023-07-07 20:02:05,243] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:31.7344779Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7344787Z 2023-07-07T20:05:31.7345085Z [2023-07-07 20:02:05,243] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7345389Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7345400Z 2023-07-07T20:05:31.7345672Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7346071Z - self: 2023-07-07T20:05:31.7346470Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.7346645Z - aten_name: 2023-07-07T20:05:31.7346848Z - function_overloads: 2023-07-07T20:05:31.7347022Z - onnx_args: 2023-07-07T20:05:31.7347197Z - onnx_kwargs: 2023-07-07T20:05:31.7347656Z - diagnostic_context: 2023-07-07T20:05:31.7347937Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.7348349Z [2023-07-07 20:02:05,249] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_1]. 2023-07-07T20:05:31.7348564Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7348573Z 2023-07-07T20:05:31.7348870Z [2023-07-07 20:02:05,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7349171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7349179Z 2023-07-07T20:05:31.7349451Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7349890Z - self: 2023-07-07T20:05:31.7350160Z - node: fx.Node(full_1[call_function]'aten.full.default') 2023-07-07T20:05:31.7350331Z - aten_name: 2023-07-07T20:05:31.7350528Z - function_overloads: 2023-07-07T20:05:31.7350688Z - onnx_args: 2023-07-07T20:05:31.7350867Z - onnx_kwargs: 2023-07-07T20:05:31.7351329Z - diagnostic_context: 2023-07-07T20:05:31.7351549Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7351925Z [2023-07-07 20:02:05,261] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:31.7352125Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7352133Z 2023-07-07T20:05:31.7352434Z [2023-07-07 20:02:05,261] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7352742Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7352751Z 2023-07-07T20:05:31.7353029Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7353420Z - self: 2023-07-07T20:05:31.7353684Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:31.7353855Z - aten_name: 2023-07-07T20:05:31.7354055Z - function_overloads: 2023-07-07T20:05:31.7354228Z - onnx_args: 2023-07-07T20:05:31.7354407Z - onnx_kwargs: 2023-07-07T20:05:31.7354945Z - diagnostic_context: 2023-07-07T20:05:31.7355152Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:31.7355529Z [2023-07-07 20:02:05,273] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:31.7355753Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7355761Z 2023-07-07T20:05:31.7356061Z [2023-07-07 20:02:05,273] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7356364Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7356375Z 2023-07-07T20:05:31.7356647Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7357055Z - self: 2023-07-07T20:05:31.7357330Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:31.7357499Z - aten_name: 2023-07-07T20:05:31.7357728Z - function_overloads: 2023-07-07T20:05:31.7357905Z - onnx_args: 2023-07-07T20:05:31.7358083Z - onnx_kwargs: 2023-07-07T20:05:31.7358537Z - diagnostic_context: 2023-07-07T20:05:31.7358858Z - Return value: 2023-07-07T20:05:31.7359266Z [2023-07-07 20:02:05,335] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_3]. 2023-07-07T20:05:31.7359471Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7359518Z 2023-07-07T20:05:31.7359802Z [2023-07-07 20:02:05,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7360142Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7360152Z 2023-07-07T20:05:31.7360430Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7360837Z - self: 2023-07-07T20:05:31.7361165Z - node: fx.Node(permute_3[call_function]'aten.permute.default') 2023-07-07T20:05:31.7361338Z - aten_name: 2023-07-07T20:05:31.7361537Z - function_overloads: 2023-07-07T20:05:31.7361714Z - onnx_args: 2023-07-07T20:05:31.7361877Z - onnx_kwargs: 2023-07-07T20:05:31.7362337Z - diagnostic_context: 2023-07-07T20:05:31.7362572Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7362959Z [2023-07-07 20:02:05,338] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:31.7363160Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7363168Z 2023-07-07T20:05:31.7363466Z [2023-07-07 20:02:05,338] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7363765Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7363776Z 2023-07-07T20:05:31.7364047Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7364609Z - self: 2023-07-07T20:05:31.7364874Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:31.7365045Z - aten_name: 2023-07-07T20:05:31.7365241Z - function_overloads: 2023-07-07T20:05:31.7365420Z - onnx_args: 2023-07-07T20:05:31.7365598Z - onnx_kwargs: 2023-07-07T20:05:31.7366060Z - diagnostic_context: 2023-07-07T20:05:31.7366282Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.7366730Z [2023-07-07 20:02:05,363] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_1]. 2023-07-07T20:05:31.7366944Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7366955Z 2023-07-07T20:05:31.7367258Z [2023-07-07 20:02:05,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7367557Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7367565Z 2023-07-07T20:05:31.7367838Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7368250Z - self: 2023-07-07T20:05:31.7368599Z - node: fx.Node(native_layer_norm_1[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7368771Z - aten_name: 2023-07-07T20:05:31.7368970Z - function_overloads: 2023-07-07T20:05:31.7369135Z - onnx_args: 2023-07-07T20:05:31.7369396Z - onnx_kwargs: 2023-07-07T20:05:31.7369862Z - diagnostic_context: 2023-07-07T20:05:31.7370186Z - Return value: 2023-07-07T20:05:31.7370628Z [2023-07-07 20:02:05,625] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_2]. 2023-07-07T20:05:31.7370857Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7370865Z 2023-07-07T20:05:31.7371163Z [2023-07-07 20:02:05,625] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7371548Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7371557Z 2023-07-07T20:05:31.7371832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7372225Z - self: 2023-07-07T20:05:31.7372568Z - node: fx.Node(native_layer_norm_2[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7372791Z - aten_name: 2023-07-07T20:05:31.7372992Z - function_overloads: 2023-07-07T20:05:31.7373166Z - onnx_args: 2023-07-07T20:05:31.7373346Z - onnx_kwargs: 2023-07-07T20:05:31.7373812Z - diagnostic_context: 2023-07-07T20:05:31.7374116Z - Return value: 2023-07-07T20:05:31.7374505Z [2023-07-07 20:02:05,700] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:31.7374705Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7374715Z 2023-07-07T20:05:31.7375016Z [2023-07-07 20:02:05,700] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7375325Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7375336Z 2023-07-07T20:05:31.7375611Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7376016Z - self: 2023-07-07T20:05:31.7376291Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.7376463Z - aten_name: 2023-07-07T20:05:31.7376651Z - function_overloads: 2023-07-07T20:05:31.7376828Z - onnx_args: 2023-07-07T20:05:31.7377003Z - onnx_kwargs: 2023-07-07T20:05:31.7377466Z - diagnostic_context: 2023-07-07T20:05:31.7377690Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.7378103Z [2023-07-07 20:02:05,704] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_12]. 2023-07-07T20:05:31.7378306Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7378317Z 2023-07-07T20:05:31.7378619Z [2023-07-07 20:02:05,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7378906Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7378927Z 2023-07-07T20:05:31.7379188Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7379594Z - self: 2023-07-07T20:05:31.7379908Z - node: fx.Node(getitem_12[call_function]'') 2023-07-07T20:05:31.7380079Z - aten_name: 2023-07-07T20:05:31.7380282Z - function_overloads: 2023-07-07T20:05:31.7380456Z - onnx_args: 2023-07-07T20:05:31.7380635Z - onnx_kwargs: 2023-07-07T20:05:31.7381123Z - diagnostic_context: 2023-07-07T20:05:31.7381357Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7381777Z [2023-07-07 20:02:05,720] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_13]. 2023-07-07T20:05:31.7381985Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7381994Z 2023-07-07T20:05:31.7382293Z [2023-07-07 20:02:05,720] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7382594Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7382640Z 2023-07-07T20:05:31.7382948Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7383356Z - self: 2023-07-07T20:05:31.7383669Z - node: fx.Node(getitem_13[call_function]'') 2023-07-07T20:05:31.7383823Z - aten_name: 2023-07-07T20:05:31.7384059Z - function_overloads: 2023-07-07T20:05:31.7384233Z - onnx_args: 2023-07-07T20:05:31.7384411Z - onnx_kwargs: 2023-07-07T20:05:31.7384870Z - diagnostic_context: 2023-07-07T20:05:31.7385100Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7385516Z [2023-07-07 20:02:05,722] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_14]. 2023-07-07T20:05:31.7385713Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7385734Z 2023-07-07T20:05:31.7386021Z [2023-07-07 20:02:05,722] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7386321Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7386333Z 2023-07-07T20:05:31.7386604Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7387012Z - self: 2023-07-07T20:05:31.7387320Z - node: fx.Node(getitem_14[call_function]'') 2023-07-07T20:05:31.7387491Z - aten_name: 2023-07-07T20:05:31.7387692Z - function_overloads: 2023-07-07T20:05:31.7387866Z - onnx_args: 2023-07-07T20:05:31.7388031Z - onnx_kwargs: 2023-07-07T20:05:31.7388497Z - diagnostic_context: 2023-07-07T20:05:31.7388730Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7389140Z [2023-07-07 20:02:05,741] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_4]. 2023-07-07T20:05:31.7389342Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7389352Z 2023-07-07T20:05:31.7389651Z [2023-07-07 20:02:05,741] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7389954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7389963Z 2023-07-07T20:05:31.7390238Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7390630Z - self: 2023-07-07T20:05:31.7390932Z - node: fx.Node(permute_4[call_function]'aten.permute.default') 2023-07-07T20:05:31.7391103Z - aten_name: 2023-07-07T20:05:31.7391307Z - function_overloads: 2023-07-07T20:05:31.7391483Z - onnx_args: 2023-07-07T20:05:31.7391660Z - onnx_kwargs: 2023-07-07T20:05:31.7392114Z - diagnostic_context: 2023-07-07T20:05:31.7392378Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7392775Z [2023-07-07 20:02:05,761] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_5]. 2023-07-07T20:05:31.7392981Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7392988Z 2023-07-07T20:05:31.7393283Z [2023-07-07 20:02:05,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7393584Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7393592Z 2023-07-07T20:05:31.7393896Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7394332Z - self: 2023-07-07T20:05:31.7394671Z - node: fx.Node(permute_5[call_function]'aten.permute.default') 2023-07-07T20:05:31.7394845Z - aten_name: 2023-07-07T20:05:31.7395036Z - function_overloads: 2023-07-07T20:05:31.7395211Z - onnx_args: 2023-07-07T20:05:31.7395390Z - onnx_kwargs: 2023-07-07T20:05:31.7395888Z - diagnostic_context: 2023-07-07T20:05:31.7396119Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7396527Z [2023-07-07 20:02:05,767] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_6]. 2023-07-07T20:05:31.7396734Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7396741Z 2023-07-07T20:05:31.7397043Z [2023-07-07 20:02:05,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7397332Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7397355Z 2023-07-07T20:05:31.7397620Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7398024Z - self: 2023-07-07T20:05:31.7398324Z - node: fx.Node(permute_6[call_function]'aten.permute.default') 2023-07-07T20:05:31.7398492Z - aten_name: 2023-07-07T20:05:31.7398691Z - function_overloads: 2023-07-07T20:05:31.7398865Z - onnx_args: 2023-07-07T20:05:31.7399041Z - onnx_kwargs: 2023-07-07T20:05:31.7399485Z - diagnostic_context: 2023-07-07T20:05:31.7399720Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7400126Z [2023-07-07 20:02:05,770] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:31.7400340Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7400348Z 2023-07-07T20:05:31.7400645Z [2023-07-07 20:02:05,770] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7400951Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7400962Z 2023-07-07T20:05:31.7401235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7401640Z - self: 2023-07-07T20:05:31.7401935Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:31.7402094Z - aten_name: 2023-07-07T20:05:31.7402292Z - function_overloads: 2023-07-07T20:05:31.7402471Z - onnx_args: 2023-07-07T20:05:31.7402649Z - onnx_kwargs: 2023-07-07T20:05:31.7403110Z - diagnostic_context: 2023-07-07T20:05:31.7403429Z - Return value: 2023-07-07T20:05:31.7403840Z [2023-07-07 20:02:05,842] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_2]. 2023-07-07T20:05:31.7404030Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7404055Z 2023-07-07T20:05:31.7404337Z [2023-07-07 20:02:05,842] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7404732Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7404741Z 2023-07-07T20:05:31.7405017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7405426Z - self: 2023-07-07T20:05:31.7405794Z - node: fx.Node(full_2[call_function]'aten.full.default') 2023-07-07T20:05:31.7405967Z - aten_name: 2023-07-07T20:05:31.7406168Z - function_overloads: 2023-07-07T20:05:31.7406344Z - onnx_args: 2023-07-07T20:05:31.7406508Z - onnx_kwargs: 2023-07-07T20:05:31.7406968Z - diagnostic_context: 2023-07-07T20:05:31.7407228Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7407610Z [2023-07-07 20:02:05,850] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:31.7407812Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7407819Z 2023-07-07T20:05:31.7408114Z [2023-07-07 20:02:05,851] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7408413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7408424Z 2023-07-07T20:05:31.7408698Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7409090Z - self: 2023-07-07T20:05:31.7409369Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7409539Z - aten_name: 2023-07-07T20:05:31.7409742Z - function_overloads: 2023-07-07T20:05:31.7409920Z - onnx_args: 2023-07-07T20:05:31.7410100Z - onnx_kwargs: 2023-07-07T20:05:31.7410560Z - diagnostic_context: 2023-07-07T20:05:31.7410879Z - Return value: 2023-07-07T20:05:31.7411247Z [2023-07-07 20:02:05,906] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:31.7411449Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7411457Z 2023-07-07T20:05:31.7411758Z [2023-07-07 20:02:05,906] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7412064Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7412073Z 2023-07-07T20:05:31.7412351Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7412758Z - self: 2023-07-07T20:05:31.7413030Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7413201Z - aten_name: 2023-07-07T20:05:31.7413386Z - function_overloads: 2023-07-07T20:05:31.7413560Z - onnx_args: 2023-07-07T20:05:31.7413736Z - onnx_kwargs: 2023-07-07T20:05:31.7414194Z - diagnostic_context: 2023-07-07T20:05:31.7414515Z - Return value: 2023-07-07T20:05:31.7414898Z [2023-07-07 20:02:05,941] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:31.7415096Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7415104Z 2023-07-07T20:05:31.7415441Z [2023-07-07 20:02:05,941] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7415734Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7415755Z 2023-07-07T20:05:31.7416016Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7416419Z - self: 2023-07-07T20:05:31.7416689Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7416904Z - aten_name: 2023-07-07T20:05:31.7417104Z - function_overloads: 2023-07-07T20:05:31.7417311Z - onnx_args: 2023-07-07T20:05:31.7417490Z - onnx_kwargs: 2023-07-07T20:05:31.7417933Z - diagnostic_context: 2023-07-07T20:05:31.7418251Z - Return value: 2023-07-07T20:05:31.7418636Z [2023-07-07 20:02:05,967] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:31.7418873Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7418882Z 2023-07-07T20:05:31.7419180Z [2023-07-07 20:02:05,968] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7419481Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7419489Z 2023-07-07T20:05:31.7419761Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7420169Z - self: 2023-07-07T20:05:31.7420446Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7420603Z - aten_name: 2023-07-07T20:05:31.7420801Z - function_overloads: 2023-07-07T20:05:31.7420975Z - onnx_args: 2023-07-07T20:05:31.7421150Z - onnx_kwargs: 2023-07-07T20:05:31.7421613Z - diagnostic_context: 2023-07-07T20:05:31.7421931Z - Return value: 2023-07-07T20:05:31.7422401Z [2023-07-07 20:02:05,976] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:31.7422639Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7422649Z 2023-07-07T20:05:31.7422931Z [2023-07-07 20:02:05,976] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7423233Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7423241Z 2023-07-07T20:05:31.7423520Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7423924Z - self: 2023-07-07T20:05:31.7424296Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.7424468Z - aten_name: 2023-07-07T20:05:31.7424668Z - function_overloads: 2023-07-07T20:05:31.7424841Z - onnx_args: 2023-07-07T20:05:31.7425004Z - onnx_kwargs: 2023-07-07T20:05:31.7425462Z - diagnostic_context: 2023-07-07T20:05:31.7425741Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.7426130Z [2023-07-07 20:02:05,979] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_3]. 2023-07-07T20:05:31.7426329Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7426337Z 2023-07-07T20:05:31.7426674Z [2023-07-07 20:02:05,979] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7426978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7426988Z 2023-07-07T20:05:31.7427263Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7427672Z - self: 2023-07-07T20:05:31.7427927Z - node: fx.Node(full_3[call_function]'aten.full.default') 2023-07-07T20:05:31.7428098Z - aten_name: 2023-07-07T20:05:31.7428335Z - function_overloads: 2023-07-07T20:05:31.7428507Z - onnx_args: 2023-07-07T20:05:31.7428722Z - onnx_kwargs: 2023-07-07T20:05:31.7429187Z - diagnostic_context: 2023-07-07T20:05:31.7429405Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7429771Z [2023-07-07 20:02:05,990] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax_1]. 2023-07-07T20:05:31.7429969Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7430018Z 2023-07-07T20:05:31.7430315Z [2023-07-07 20:02:05,990] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7430617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7430625Z 2023-07-07T20:05:31.7430898Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7431306Z - self: 2023-07-07T20:05:31.7431578Z - node: fx.Node(amax_1[call_function]'aten.amax.default') 2023-07-07T20:05:31.7431749Z - aten_name: 2023-07-07T20:05:31.7431948Z - function_overloads: 2023-07-07T20:05:31.7432111Z - onnx_args: 2023-07-07T20:05:31.7432290Z - onnx_kwargs: 2023-07-07T20:05:31.7432747Z - diagnostic_context: 2023-07-07T20:05:31.7432966Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:31.7433348Z [2023-07-07 20:02:05,999] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_2]. 2023-07-07T20:05:31.7433566Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7433575Z 2023-07-07T20:05:31.7433875Z [2023-07-07 20:02:05,999] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7434180Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7434188Z 2023-07-07T20:05:31.7434450Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7434921Z - self: 2023-07-07T20:05:31.7435200Z - node: fx.Node(sum_2[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:31.7435374Z - aten_name: 2023-07-07T20:05:31.7435576Z - function_overloads: 2023-07-07T20:05:31.7435750Z - onnx_args: 2023-07-07T20:05:31.7435925Z - onnx_kwargs: 2023-07-07T20:05:31.7436368Z - diagnostic_context: 2023-07-07T20:05:31.7436689Z - Return value: 2023-07-07T20:05:31.7437097Z [2023-07-07 20:02:06,029] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_7]. 2023-07-07T20:05:31.7437304Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7437315Z 2023-07-07T20:05:31.7437613Z [2023-07-07 20:02:06,029] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7437919Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7437969Z 2023-07-07T20:05:31.7438246Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7438655Z - self: 2023-07-07T20:05:31.7438952Z - node: fx.Node(permute_7[call_function]'aten.permute.default') 2023-07-07T20:05:31.7439112Z - aten_name: 2023-07-07T20:05:31.7439310Z - function_overloads: 2023-07-07T20:05:31.7439542Z - onnx_args: 2023-07-07T20:05:31.7439718Z - onnx_kwargs: 2023-07-07T20:05:31.7440213Z - diagnostic_context: 2023-07-07T20:05:31.7440478Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7440869Z [2023-07-07 20:02:06,032] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:31.7441069Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7441080Z 2023-07-07T20:05:31.7441363Z [2023-07-07 20:02:06,032] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7441701Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7441709Z 2023-07-07T20:05:31.7441982Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7442389Z - self: 2023-07-07T20:05:31.7442669Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:31.7442844Z - aten_name: 2023-07-07T20:05:31.7443044Z - function_overloads: 2023-07-07T20:05:31.7443215Z - onnx_args: 2023-07-07T20:05:31.7443378Z - onnx_kwargs: 2023-07-07T20:05:31.7443839Z - diagnostic_context: 2023-07-07T20:05:31.7444063Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.7444598Z [2023-07-07 20:02:06,054] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_3]. 2023-07-07T20:05:31.7444858Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7444867Z 2023-07-07T20:05:31.7445209Z [2023-07-07 20:02:06,054] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7445558Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7445570Z 2023-07-07T20:05:31.7445893Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7446364Z - self: 2023-07-07T20:05:31.7446745Z - node: fx.Node(native_layer_norm_3[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7446944Z - aten_name: 2023-07-07T20:05:31.7447174Z - function_overloads: 2023-07-07T20:05:31.7447372Z - onnx_args: 2023-07-07T20:05:31.7447576Z - onnx_kwargs: 2023-07-07T20:05:31.7448100Z - diagnostic_context: 2023-07-07T20:05:31.7448461Z - Return value: 2023-07-07T20:05:31.7448968Z [2023-07-07 20:02:06,115] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_4]. 2023-07-07T20:05:31.7449226Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7449237Z 2023-07-07T20:05:31.7449576Z [2023-07-07 20:02:06,115] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7449917Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7449926Z 2023-07-07T20:05:31.7450330Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7450800Z - self: 2023-07-07T20:05:31.7451177Z - node: fx.Node(native_layer_norm_4[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7451369Z - aten_name: 2023-07-07T20:05:31.7451598Z - function_overloads: 2023-07-07T20:05:31.7451780Z - onnx_args: 2023-07-07T20:05:31.7451979Z - onnx_kwargs: 2023-07-07T20:05:31.7452503Z - diagnostic_context: 2023-07-07T20:05:31.7452960Z - Return value: 2023-07-07T20:05:31.7453098Z PASSED [4.1827s] [ 34%] 2023-07-07T20:05:31.7454153Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_large_scale_exporter_with_tiny_gpt2 Some weights of the model checkpoint at sshleifer/tiny-gpt2 were not used when initializing GPT2Model: ['lm_head.weight'] 2023-07-07T20:05:31.7455106Z - This IS expected if you are initializing GPT2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2023-07-07T20:05:31.7456009Z - This IS NOT expected if you are initializing GPT2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2023-07-07T20:05:31.7456537Z Some weights of the model checkpoint at sshleifer/tiny-gpt2 were not used when initializing GPT2Model: ['lm_head.weight'] 2023-07-07T20:05:31.7457414Z - This IS expected if you are initializing GPT2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2023-07-07T20:05:31.7458291Z - This IS NOT expected if you are initializing GPT2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2023-07-07T20:05:31.7458759Z [2023-07-07 20:02:08,087] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:31.7459003Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7459012Z 2023-07-07T20:05:31.7459353Z [2023-07-07 20:02:08,087] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7459707Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7459719Z 2023-07-07T20:05:31.7460031Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7460506Z - self: 2023-07-07T20:05:31.7460855Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.7461050Z - aten_name: 2023-07-07T20:05:31.7461278Z - function_overloads: 2023-07-07T20:05:31.7461462Z - onnx_args: 2023-07-07T20:05:31.7461661Z - onnx_kwargs: 2023-07-07T20:05:31.7462194Z - diagnostic_context: 2023-07-07T20:05:31.7462466Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.7462909Z [2023-07-07 20:02:08,095] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:31.7463143Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7463155Z 2023-07-07T20:05:31.7463494Z [2023-07-07 20:02:08,095] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7463883Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7463893Z 2023-07-07T20:05:31.7464192Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7464657Z - self: 2023-07-07T20:05:31.7464969Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7465164Z - aten_name: 2023-07-07T20:05:31.7465387Z - function_overloads: 2023-07-07T20:05:31.7465583Z - onnx_args: 2023-07-07T20:05:31.7465789Z - onnx_kwargs: 2023-07-07T20:05:31.7466348Z - diagnostic_context: 2023-07-07T20:05:31.7466752Z - Return value: 2023-07-07T20:05:31.7467232Z [2023-07-07 20:02:08,102] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:31.7467474Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7467485Z 2023-07-07T20:05:31.7467821Z [2023-07-07 20:02:08,102] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7468199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7468208Z 2023-07-07T20:05:31.7468523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7468987Z - self: 2023-07-07T20:05:31.7469342Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.7469526Z - aten_name: 2023-07-07T20:05:31.7469760Z - function_overloads: 2023-07-07T20:05:31.7469957Z - onnx_args: 2023-07-07T20:05:31.7470158Z - onnx_kwargs: 2023-07-07T20:05:31.7470689Z - diagnostic_context: 2023-07-07T20:05:31.7470959Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.7471439Z [2023-07-07 20:02:08,104] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:31.7471682Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7471690Z 2023-07-07T20:05:31.7472018Z [2023-07-07 20:02:08,105] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7472360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7472371Z 2023-07-07T20:05:31.7472692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7473155Z - self: 2023-07-07T20:05:31.7473509Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:31.7473706Z - aten_name: 2023-07-07T20:05:31.7473932Z - function_overloads: 2023-07-07T20:05:31.7474133Z - onnx_args: 2023-07-07T20:05:31.7474322Z - onnx_kwargs: 2023-07-07T20:05:31.7474925Z - diagnostic_context: 2023-07-07T20:05:31.7475195Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:31.7475631Z [2023-07-07 20:02:08,107] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:31.7475859Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7475870Z 2023-07-07T20:05:31.7476215Z [2023-07-07 20:02:08,107] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7476557Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7476565Z 2023-07-07T20:05:31.7476920Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7477387Z - self: 2023-07-07T20:05:31.7477689Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7477883Z - aten_name: 2023-07-07T20:05:31.7478110Z - function_overloads: 2023-07-07T20:05:31.7478310Z - onnx_args: 2023-07-07T20:05:31.7478509Z - onnx_kwargs: 2023-07-07T20:05:31.7479039Z - diagnostic_context: 2023-07-07T20:05:31.7479450Z - Return value: 2023-07-07T20:05:31.7479999Z [2023-07-07 20:02:08,613] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:31.7480271Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7480279Z 2023-07-07T20:05:31.7480620Z [2023-07-07 20:02:08,614] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7480969Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7481011Z 2023-07-07T20:05:31.7481323Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7481790Z - self: 2023-07-07T20:05:31.7482211Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.7482409Z - aten_name: 2023-07-07T20:05:31.7482641Z - function_overloads: 2023-07-07T20:05:31.7482828Z - onnx_args: 2023-07-07T20:05:31.7483030Z - onnx_kwargs: 2023-07-07T20:05:31.7483559Z - diagnostic_context: 2023-07-07T20:05:31.7483882Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.7484353Z [2023-07-07 20:02:08,632] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding]. 2023-07-07T20:05:31.7484683Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7485033Z [2023-07-07 20:02:08,632] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7485163Z ### Exception log 2023-07-07T20:05:31.7485256Z ``` 2023-07-07T20:05:31.7485417Z Traceback (most recent call last): 2023-07-07T20:05:31.7485426Z 2023-07-07T20:05:31.7486013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 81, in validate_op_between_ort_torch 2023-07-07T20:05:31.7486296Z expected_outputs = node.target(*torch_args, **torch_kwargs) # type: ignore[operator] 2023-07-07T20:05:31.7486305Z 2023-07-07T20:05:31.7486731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 437, in __call__ 2023-07-07T20:05:31.7486908Z return self._op(*args, **kwargs or {}) 2023-07-07T20:05:31.7486916Z 2023-07-07T20:05:31.7487082Z IndexError: index out of range in self 2023-07-07T20:05:31.7487096Z 2023-07-07T20:05:31.7487200Z ``` 2023-07-07T20:05:31.7487391Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7487921Z - diagnostic_context: 2023-07-07T20:05:31.7488267Z - node: fx.Node(embedding[call_function]'aten.embedding.default') 2023-07-07T20:05:31.7488537Z - symbolic_fn: `OnnxFunction(aten_embedding)` 2023-07-07T20:05:31.7488743Z - torch_args: 2023-07-07T20:05:31.7488950Z - torch_kwargs: 2023-07-07T20:05:31.7489175Z - Return value: 2023-07-07T20:05:31.7489658Z [2023-07-07 20:02:08,642] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding_1]. 2023-07-07T20:05:31.7489881Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7490282Z [2023-07-07 20:02:08,642] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7490414Z ### Exception log 2023-07-07T20:05:31.7490517Z ``` 2023-07-07T20:05:31.7490681Z Traceback (most recent call last): 2023-07-07T20:05:31.7490690Z 2023-07-07T20:05:31.7491261Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 81, in validate_op_between_ort_torch 2023-07-07T20:05:31.7491539Z expected_outputs = node.target(*torch_args, **torch_kwargs) # type: ignore[operator] 2023-07-07T20:05:31.7491548Z 2023-07-07T20:05:31.7492025Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 437, in __call__ 2023-07-07T20:05:31.7492228Z return self._op(*args, **kwargs or {}) 2023-07-07T20:05:31.7492238Z 2023-07-07T20:05:31.7492411Z IndexError: index out of range in self 2023-07-07T20:05:31.7492419Z 2023-07-07T20:05:31.7492516Z ``` 2023-07-07T20:05:31.7492722Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7493253Z - diagnostic_context: 2023-07-07T20:05:31.7493653Z - node: fx.Node(embedding_1[call_function]'aten.embedding.default') 2023-07-07T20:05:31.7493919Z - symbolic_fn: `OnnxFunction(aten_embedding)` 2023-07-07T20:05:31.7494128Z - torch_args: 2023-07-07T20:05:31.7494321Z - torch_kwargs: 2023-07-07T20:05:31.7494544Z - Return value: 2023-07-07T20:05:31.7495043Z [2023-07-07 20:02:08,647] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm]. 2023-07-07T20:05:31.7495307Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7495320Z 2023-07-07T20:05:31.7495659Z [2023-07-07 20:02:08,647] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7496006Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7496021Z 2023-07-07T20:05:31.7496337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7496803Z - self: 2023-07-07T20:05:31.7497189Z - node: fx.Node(native_layer_norm[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7497365Z - aten_name: 2023-07-07T20:05:31.7497593Z - function_overloads: 2023-07-07T20:05:31.7497790Z - onnx_args: 2023-07-07T20:05:31.7497990Z - onnx_kwargs: 2023-07-07T20:05:31.7498530Z - diagnostic_context: 2023-07-07T20:05:31.7498901Z - Return value: 2023-07-07T20:05:31.7499340Z [2023-07-07 20:02:08,662] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:31.7499559Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7499568Z 2023-07-07T20:05:31.7499908Z [2023-07-07 20:02:08,662] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7500255Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7500264Z 2023-07-07T20:05:31.7500577Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7501039Z - self: 2023-07-07T20:05:31.7501353Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.7501552Z - aten_name: 2023-07-07T20:05:31.7501782Z - function_overloads: 2023-07-07T20:05:31.7501970Z - onnx_args: 2023-07-07T20:05:31.7502173Z - onnx_kwargs: 2023-07-07T20:05:31.7502743Z - diagnostic_context: 2023-07-07T20:05:31.7502997Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.7503469Z [2023-07-07 20:02:08,665] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T20:05:31.7503708Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7503718Z 2023-07-07T20:05:31.7504055Z [2023-07-07 20:02:08,666] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7504402Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7504455Z 2023-07-07T20:05:31.7504772Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7505257Z - self: 2023-07-07T20:05:31.7505610Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T20:05:31.7505803Z - aten_name: 2023-07-07T20:05:31.7506031Z - function_overloads: 2023-07-07T20:05:31.7506227Z - onnx_args: 2023-07-07T20:05:31.7506463Z - onnx_kwargs: 2023-07-07T20:05:31.7506994Z - diagnostic_context: 2023-07-07T20:05:31.7507242Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7507710Z [2023-07-07 20:02:08,667] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T20:05:31.7507942Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7507954Z 2023-07-07T20:05:31.7508293Z [2023-07-07 20:02:08,667] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7508645Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7508654Z 2023-07-07T20:05:31.7508970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7509437Z - self: 2023-07-07T20:05:31.7509786Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T20:05:31.7509980Z - aten_name: 2023-07-07T20:05:31.7510194Z - function_overloads: 2023-07-07T20:05:31.7510391Z - onnx_args: 2023-07-07T20:05:31.7510593Z - onnx_kwargs: 2023-07-07T20:05:31.7511122Z - diagnostic_context: 2023-07-07T20:05:31.7511381Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7511858Z [2023-07-07 20:02:08,669] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_5]. 2023-07-07T20:05:31.7512092Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7512101Z 2023-07-07T20:05:31.7512440Z [2023-07-07 20:02:08,669] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7512773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7512801Z 2023-07-07T20:05:31.7513101Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7513558Z - self: 2023-07-07T20:05:31.7513907Z - node: fx.Node(getitem_5[call_function]'') 2023-07-07T20:05:31.7514102Z - aten_name: 2023-07-07T20:05:31.7514329Z - function_overloads: 2023-07-07T20:05:31.7514529Z - onnx_args: 2023-07-07T20:05:31.7514805Z - onnx_kwargs: 2023-07-07T20:05:31.7515321Z - diagnostic_context: 2023-07-07T20:05:31.7515586Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7516131Z [2023-07-07 20:02:08,673] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute]. 2023-07-07T20:05:31.7516372Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7516381Z 2023-07-07T20:05:31.7516719Z [2023-07-07 20:02:08,673] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7517062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7517070Z 2023-07-07T20:05:31.7517384Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7517885Z - self: 2023-07-07T20:05:31.7518254Z - node: fx.Node(permute[call_function]'aten.permute.default') 2023-07-07T20:05:31.7518433Z - aten_name: 2023-07-07T20:05:31.7518660Z - function_overloads: 2023-07-07T20:05:31.7518860Z - onnx_args: 2023-07-07T20:05:31.7519061Z - onnx_kwargs: 2023-07-07T20:05:31.7519591Z - diagnostic_context: 2023-07-07T20:05:31.7519901Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7520365Z [2023-07-07 20:02:08,679] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_1]. 2023-07-07T20:05:31.7520588Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7520609Z 2023-07-07T20:05:31.7520938Z [2023-07-07 20:02:08,679] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7521286Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7521297Z 2023-07-07T20:05:31.7521618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7522080Z - self: 2023-07-07T20:05:31.7522424Z - node: fx.Node(permute_1[call_function]'aten.permute.default') 2023-07-07T20:05:31.7522624Z - aten_name: 2023-07-07T20:05:31.7522848Z - function_overloads: 2023-07-07T20:05:31.7523046Z - onnx_args: 2023-07-07T20:05:31.7523235Z - onnx_kwargs: 2023-07-07T20:05:31.7523757Z - diagnostic_context: 2023-07-07T20:05:31.7524021Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7524589Z [2023-07-07 20:02:08,685] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_2]. 2023-07-07T20:05:31.7524829Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7524841Z 2023-07-07T20:05:31.7525182Z [2023-07-07 20:02:08,685] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7525527Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7525536Z 2023-07-07T20:05:31.7525850Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7526297Z - self: 2023-07-07T20:05:31.7526635Z - node: fx.Node(permute_2[call_function]'aten.permute.default') 2023-07-07T20:05:31.7526828Z - aten_name: 2023-07-07T20:05:31.7527055Z - function_overloads: 2023-07-07T20:05:31.7527249Z - onnx_args: 2023-07-07T20:05:31.7527451Z - onnx_kwargs: 2023-07-07T20:05:31.7527985Z - diagnostic_context: 2023-07-07T20:05:31.7528259Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7528703Z [2023-07-07 20:02:08,688] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:31.7529002Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7529011Z 2023-07-07T20:05:31.7529348Z [2023-07-07 20:02:08,688] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7529694Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7529702Z 2023-07-07T20:05:31.7530014Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7530477Z - self: 2023-07-07T20:05:31.7530816Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:31.7531059Z - aten_name: 2023-07-07T20:05:31.7531316Z - function_overloads: 2023-07-07T20:05:31.7531517Z - onnx_args: 2023-07-07T20:05:31.7531722Z - onnx_kwargs: 2023-07-07T20:05:31.7532252Z - diagnostic_context: 2023-07-07T20:05:31.7532626Z - Return value: 2023-07-07T20:05:31.7533098Z [2023-07-07 20:02:08,709] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T20:05:31.7533327Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7533335Z 2023-07-07T20:05:31.7533678Z [2023-07-07 20:02:08,709] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7534009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7534036Z 2023-07-07T20:05:31.7534337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7534805Z - self: 2023-07-07T20:05:31.7535105Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T20:05:31.7535296Z - aten_name: 2023-07-07T20:05:31.7535527Z - function_overloads: 2023-07-07T20:05:31.7535724Z - onnx_args: 2023-07-07T20:05:31.7535924Z - onnx_kwargs: 2023-07-07T20:05:31.7536439Z - diagnostic_context: 2023-07-07T20:05:31.7536690Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7537130Z [2023-07-07 20:02:08,715] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:31.7537358Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7537370Z 2023-07-07T20:05:31.7537707Z [2023-07-07 20:02:08,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7538052Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7538061Z 2023-07-07T20:05:31.7538375Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7538840Z - self: 2023-07-07T20:05:31.7539158Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7539340Z - aten_name: 2023-07-07T20:05:31.7539570Z - function_overloads: 2023-07-07T20:05:31.7539768Z - onnx_args: 2023-07-07T20:05:31.7539970Z - onnx_kwargs: 2023-07-07T20:05:31.7540499Z - diagnostic_context: 2023-07-07T20:05:31.7540865Z - Return value: 2023-07-07T20:05:31.7541307Z [2023-07-07 20:02:08,746] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:31.7541522Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7541545Z 2023-07-07T20:05:31.7541872Z [2023-07-07 20:02:08,747] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7542256Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7542268Z 2023-07-07T20:05:31.7542579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7543048Z - self: 2023-07-07T20:05:31.7543357Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7543553Z - aten_name: 2023-07-07T20:05:31.7543782Z - function_overloads: 2023-07-07T20:05:31.7544017Z - onnx_args: 2023-07-07T20:05:31.7544202Z - onnx_kwargs: 2023-07-07T20:05:31.7544773Z - diagnostic_context: 2023-07-07T20:05:31.7545135Z - Return value: 2023-07-07T20:05:31.7545578Z [2023-07-07 20:02:08,778] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:31.7545810Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7545861Z 2023-07-07T20:05:31.7546200Z [2023-07-07 20:02:08,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7546544Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7546553Z 2023-07-07T20:05:31.7546867Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7547319Z - self: 2023-07-07T20:05:31.7547636Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7547833Z - aten_name: 2023-07-07T20:05:31.7548060Z - function_overloads: 2023-07-07T20:05:31.7548254Z - onnx_args: 2023-07-07T20:05:31.7548452Z - onnx_kwargs: 2023-07-07T20:05:31.7548985Z - diagnostic_context: 2023-07-07T20:05:31.7549352Z - Return value: 2023-07-07T20:05:31.7549776Z [2023-07-07 20:02:08,805] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:31.7550007Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7550015Z 2023-07-07T20:05:31.7550354Z [2023-07-07 20:02:08,805] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7550706Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7550717Z 2023-07-07T20:05:31.7551034Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7551501Z - self: 2023-07-07T20:05:31.7551818Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7552012Z - aten_name: 2023-07-07T20:05:31.7552223Z - function_overloads: 2023-07-07T20:05:31.7552426Z - onnx_args: 2023-07-07T20:05:31.7552624Z - onnx_kwargs: 2023-07-07T20:05:31.7553150Z - diagnostic_context: 2023-07-07T20:05:31.7553515Z - Return value: 2023-07-07T20:05:31.7554056Z [2023-07-07 20:02:08,814] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:31.7554332Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7554341Z 2023-07-07T20:05:31.7554759Z [2023-07-07 20:02:08,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7555131Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7555154Z 2023-07-07T20:05:31.7555458Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7555937Z - self: 2023-07-07T20:05:31.7556357Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.7556552Z - aten_name: 2023-07-07T20:05:31.7556749Z - function_overloads: 2023-07-07T20:05:31.7556927Z - onnx_args: 2023-07-07T20:05:31.7557163Z - onnx_kwargs: 2023-07-07T20:05:31.7557629Z - diagnostic_context: 2023-07-07T20:05:31.7557948Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.7558395Z [2023-07-07 20:02:08,818] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_1]. 2023-07-07T20:05:31.7558624Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7558634Z 2023-07-07T20:05:31.7559014Z [2023-07-07 20:02:08,818] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7559359Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7559368Z 2023-07-07T20:05:31.7559682Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7560147Z - self: 2023-07-07T20:05:31.7560460Z - node: fx.Node(full_1[call_function]'aten.full.default') 2023-07-07T20:05:31.7560643Z - aten_name: 2023-07-07T20:05:31.7560870Z - function_overloads: 2023-07-07T20:05:31.7561071Z - onnx_args: 2023-07-07T20:05:31.7561272Z - onnx_kwargs: 2023-07-07T20:05:31.7561804Z - diagnostic_context: 2023-07-07T20:05:31.7562059Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7562490Z [2023-07-07 20:02:08,828] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:31.7562716Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7562724Z 2023-07-07T20:05:31.7563050Z [2023-07-07 20:02:08,829] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7563396Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7563408Z 2023-07-07T20:05:31.7563725Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7564192Z - self: 2023-07-07T20:05:31.7564588Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:31.7564789Z - aten_name: 2023-07-07T20:05:31.7565018Z - function_overloads: 2023-07-07T20:05:31.7565214Z - onnx_args: 2023-07-07T20:05:31.7565409Z - onnx_kwargs: 2023-07-07T20:05:31.7565933Z - diagnostic_context: 2023-07-07T20:05:31.7566183Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:31.7566619Z [2023-07-07 20:02:08,838] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:31.7566874Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7566886Z 2023-07-07T20:05:31.7567221Z [2023-07-07 20:02:08,838] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7567570Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7567582Z 2023-07-07T20:05:31.7567966Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7568434Z - self: 2023-07-07T20:05:31.7568732Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:31.7568929Z - aten_name: 2023-07-07T20:05:31.7569161Z - function_overloads: 2023-07-07T20:05:31.7569359Z - onnx_args: 2023-07-07T20:05:31.7569564Z - onnx_kwargs: 2023-07-07T20:05:31.7570098Z - diagnostic_context: 2023-07-07T20:05:31.7570517Z - Return value: 2023-07-07T20:05:31.7571012Z [2023-07-07 20:02:08,867] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_3]. 2023-07-07T20:05:31.7571248Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7571258Z 2023-07-07T20:05:31.7571600Z [2023-07-07 20:02:08,868] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7571946Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7572003Z 2023-07-07T20:05:31.7572322Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7572784Z - self: 2023-07-07T20:05:31.7573118Z - node: fx.Node(permute_3[call_function]'aten.permute.default') 2023-07-07T20:05:31.7573312Z - aten_name: 2023-07-07T20:05:31.7573543Z - function_overloads: 2023-07-07T20:05:31.7573727Z - onnx_args: 2023-07-07T20:05:31.7573929Z - onnx_kwargs: 2023-07-07T20:05:31.7574461Z - diagnostic_context: 2023-07-07T20:05:31.7574725Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7575163Z [2023-07-07 20:02:08,870] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:31.7575396Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7575405Z 2023-07-07T20:05:31.7575743Z [2023-07-07 20:02:08,871] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7576086Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7576094Z 2023-07-07T20:05:31.7576383Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7576834Z - self: 2023-07-07T20:05:31.7577146Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:31.7577340Z - aten_name: 2023-07-07T20:05:31.7577564Z - function_overloads: 2023-07-07T20:05:31.7577760Z - onnx_args: 2023-07-07T20:05:31.7577958Z - onnx_kwargs: 2023-07-07T20:05:31.7578477Z - diagnostic_context: 2023-07-07T20:05:31.7578740Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.7579251Z [2023-07-07 20:02:08,891] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_1]. 2023-07-07T20:05:31.7579508Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7579519Z 2023-07-07T20:05:31.7579859Z [2023-07-07 20:02:08,891] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7580204Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7580218Z 2023-07-07T20:05:31.7580529Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7581028Z - self: 2023-07-07T20:05:31.7581425Z - node: fx.Node(native_layer_norm_1[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7581606Z - aten_name: 2023-07-07T20:05:31.7581830Z - function_overloads: 2023-07-07T20:05:31.7582029Z - onnx_args: 2023-07-07T20:05:31.7582229Z - onnx_kwargs: 2023-07-07T20:05:31.7582757Z - diagnostic_context: 2023-07-07T20:05:31.7583124Z - Return value: 2023-07-07T20:05:31.7583678Z [2023-07-07 20:02:08,948] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_2]. 2023-07-07T20:05:31.7583968Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7583977Z 2023-07-07T20:05:31.7584300Z [2023-07-07 20:02:08,949] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7584646Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7584695Z 2023-07-07T20:05:31.7585006Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7585473Z - self: 2023-07-07T20:05:31.7585870Z - node: fx.Node(native_layer_norm_2[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7586063Z - aten_name: 2023-07-07T20:05:31.7586292Z - function_overloads: 2023-07-07T20:05:31.7586490Z - onnx_args: 2023-07-07T20:05:31.7586681Z - onnx_kwargs: 2023-07-07T20:05:31.7587207Z - diagnostic_context: 2023-07-07T20:05:31.7587572Z - Return value: 2023-07-07T20:05:31.7588015Z [2023-07-07 20:02:08,965] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:31.7588239Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7588251Z 2023-07-07T20:05:31.7588589Z [2023-07-07 20:02:08,965] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7588936Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7588945Z 2023-07-07T20:05:31.7589264Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7589725Z - self: 2023-07-07T20:05:31.7590033Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.7590231Z - aten_name: 2023-07-07T20:05:31.7590461Z - function_overloads: 2023-07-07T20:05:31.7590657Z - onnx_args: 2023-07-07T20:05:31.7590859Z - onnx_kwargs: 2023-07-07T20:05:31.7591383Z - diagnostic_context: 2023-07-07T20:05:31.7591642Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.7592105Z [2023-07-07 20:02:08,968] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_12]. 2023-07-07T20:05:31.7592339Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7592349Z 2023-07-07T20:05:31.7592684Z [2023-07-07 20:02:08,968] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7593024Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7593038Z 2023-07-07T20:05:31.7593348Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7593820Z - self: 2023-07-07T20:05:31.7594211Z - node: fx.Node(getitem_12[call_function]'') 2023-07-07T20:05:31.7594407Z - aten_name: 2023-07-07T20:05:31.7594721Z - function_overloads: 2023-07-07T20:05:31.7594909Z - onnx_args: 2023-07-07T20:05:31.7595110Z - onnx_kwargs: 2023-07-07T20:05:31.7595641Z - diagnostic_context: 2023-07-07T20:05:31.7595904Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7596383Z [2023-07-07 20:02:08,969] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_13]. 2023-07-07T20:05:31.7596688Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7596697Z 2023-07-07T20:05:31.7597070Z [2023-07-07 20:02:08,969] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7597418Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7597430Z 2023-07-07T20:05:31.7597744Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7598230Z - self: 2023-07-07T20:05:31.7598581Z - node: fx.Node(getitem_13[call_function]'') 2023-07-07T20:05:31.7598772Z - aten_name: 2023-07-07T20:05:31.7599000Z - function_overloads: 2023-07-07T20:05:31.7599199Z - onnx_args: 2023-07-07T20:05:31.7599407Z - onnx_kwargs: 2023-07-07T20:05:31.7599937Z - diagnostic_context: 2023-07-07T20:05:31.7600189Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7600657Z [2023-07-07 20:02:08,971] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_14]. 2023-07-07T20:05:31.7600891Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7600902Z 2023-07-07T20:05:31.7601241Z [2023-07-07 20:02:08,971] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7601578Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7601586Z 2023-07-07T20:05:31.7601896Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7602355Z - self: 2023-07-07T20:05:31.7602705Z - node: fx.Node(getitem_14[call_function]'') 2023-07-07T20:05:31.7602903Z - aten_name: 2023-07-07T20:05:31.7603122Z - function_overloads: 2023-07-07T20:05:31.7603319Z - onnx_args: 2023-07-07T20:05:31.7603518Z - onnx_kwargs: 2023-07-07T20:05:31.7604057Z - diagnostic_context: 2023-07-07T20:05:31.7604321Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.7604882Z [2023-07-07 20:02:08,975] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_4]. 2023-07-07T20:05:31.7605122Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7605131Z 2023-07-07T20:05:31.7605471Z [2023-07-07 20:02:08,975] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7605799Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7605811Z 2023-07-07T20:05:31.7606119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7606582Z - self: 2023-07-07T20:05:31.7606920Z - node: fx.Node(permute_4[call_function]'aten.permute.default') 2023-07-07T20:05:31.7607113Z - aten_name: 2023-07-07T20:05:31.7607418Z - function_overloads: 2023-07-07T20:05:31.7607620Z - onnx_args: 2023-07-07T20:05:31.7607824Z - onnx_kwargs: 2023-07-07T20:05:31.7608339Z - diagnostic_context: 2023-07-07T20:05:31.7608609Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7609069Z [2023-07-07 20:02:08,981] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_5]. 2023-07-07T20:05:31.7609303Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7609356Z 2023-07-07T20:05:31.7609695Z [2023-07-07 20:02:08,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7610077Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7610090Z 2023-07-07T20:05:31.7610404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7610870Z - self: 2023-07-07T20:05:31.7611283Z - node: fx.Node(permute_5[call_function]'aten.permute.default') 2023-07-07T20:05:31.7611478Z - aten_name: 2023-07-07T20:05:31.7611706Z - function_overloads: 2023-07-07T20:05:31.7611902Z - onnx_args: 2023-07-07T20:05:31.7612101Z - onnx_kwargs: 2023-07-07T20:05:31.7612629Z - diagnostic_context: 2023-07-07T20:05:31.7612894Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7613360Z [2023-07-07 20:02:08,985] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_6]. 2023-07-07T20:05:31.7613583Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7613591Z 2023-07-07T20:05:31.7613932Z [2023-07-07 20:02:08,985] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7614280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7614291Z 2023-07-07T20:05:31.7614606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7615069Z - self: 2023-07-07T20:05:31.7615407Z - node: fx.Node(permute_6[call_function]'aten.permute.default') 2023-07-07T20:05:31.7615602Z - aten_name: 2023-07-07T20:05:31.7615826Z - function_overloads: 2023-07-07T20:05:31.7616013Z - onnx_args: 2023-07-07T20:05:31.7616216Z - onnx_kwargs: 2023-07-07T20:05:31.7616747Z - diagnostic_context: 2023-07-07T20:05:31.7617016Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7617480Z [2023-07-07 20:02:08,988] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:31.7617722Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7617734Z 2023-07-07T20:05:31.7618071Z [2023-07-07 20:02:08,988] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7618418Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7618428Z 2023-07-07T20:05:31.7618746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7619197Z - self: 2023-07-07T20:05:31.7619540Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:31.7619731Z - aten_name: 2023-07-07T20:05:31.7619962Z - function_overloads: 2023-07-07T20:05:31.7620159Z - onnx_args: 2023-07-07T20:05:31.7620364Z - onnx_kwargs: 2023-07-07T20:05:31.7620934Z - diagnostic_context: 2023-07-07T20:05:31.7621297Z - Return value: 2023-07-07T20:05:31.7621731Z [2023-07-07 20:02:09,039] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_2]. 2023-07-07T20:05:31.7621959Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7621967Z 2023-07-07T20:05:31.7622303Z [2023-07-07 20:02:09,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7622639Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7622686Z 2023-07-07T20:05:31.7623036Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7623504Z - self: 2023-07-07T20:05:31.7623815Z - node: fx.Node(full_2[call_function]'aten.full.default') 2023-07-07T20:05:31.7624008Z - aten_name: 2023-07-07T20:05:31.7624256Z - function_overloads: 2023-07-07T20:05:31.7624453Z - onnx_args: 2023-07-07T20:05:31.7624655Z - onnx_kwargs: 2023-07-07T20:05:31.7625181Z - diagnostic_context: 2023-07-07T20:05:31.7625433Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7625880Z [2023-07-07 20:02:09,045] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:31.7626110Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7626120Z 2023-07-07T20:05:31.7626460Z [2023-07-07 20:02:09,045] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7626790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7626799Z 2023-07-07T20:05:31.7627120Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7627590Z - self: 2023-07-07T20:05:31.7627909Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7628102Z - aten_name: 2023-07-07T20:05:31.7628329Z - function_overloads: 2023-07-07T20:05:31.7628528Z - onnx_args: 2023-07-07T20:05:31.7628727Z - onnx_kwargs: 2023-07-07T20:05:31.7629242Z - diagnostic_context: 2023-07-07T20:05:31.7629616Z - Return value: 2023-07-07T20:05:31.7630051Z [2023-07-07 20:02:09,077] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:31.7630282Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7630291Z 2023-07-07T20:05:31.7630635Z [2023-07-07 20:02:09,077] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7630984Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7630993Z 2023-07-07T20:05:31.7631310Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7631777Z - self: 2023-07-07T20:05:31.7632071Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7632268Z - aten_name: 2023-07-07T20:05:31.7632493Z - function_overloads: 2023-07-07T20:05:31.7632696Z - onnx_args: 2023-07-07T20:05:31.7632892Z - onnx_kwargs: 2023-07-07T20:05:31.7633413Z - diagnostic_context: 2023-07-07T20:05:31.7639764Z - Return value: 2023-07-07T20:05:31.7640262Z [2023-07-07 20:02:09,109] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:31.7640503Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7640513Z 2023-07-07T20:05:31.7640855Z [2023-07-07 20:02:09,109] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7641192Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7641216Z 2023-07-07T20:05:31.7641573Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7642072Z - self: 2023-07-07T20:05:31.7642384Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7642577Z - aten_name: 2023-07-07T20:05:31.7642803Z - function_overloads: 2023-07-07T20:05:31.7643048Z - onnx_args: 2023-07-07T20:05:31.7643236Z - onnx_kwargs: 2023-07-07T20:05:31.7643808Z - diagnostic_context: 2023-07-07T20:05:31.7644178Z - Return value: 2023-07-07T20:05:31.7644732Z [2023-07-07 20:02:09,136] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:31.7644963Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7644974Z 2023-07-07T20:05:31.7645324Z [2023-07-07 20:02:09,136] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7645677Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7645686Z 2023-07-07T20:05:31.7646003Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7646477Z - self: 2023-07-07T20:05:31.7646784Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:31.7646978Z - aten_name: 2023-07-07T20:05:31.7647204Z - function_overloads: 2023-07-07T20:05:31.7647404Z - onnx_args: 2023-07-07T20:05:31.7647605Z - onnx_kwargs: 2023-07-07T20:05:31.7648132Z - diagnostic_context: 2023-07-07T20:05:31.7648501Z - Return value: 2023-07-07T20:05:31.7649039Z [2023-07-07 20:02:09,144] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:31.7649316Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7649325Z 2023-07-07T20:05:31.7649666Z [2023-07-07 20:02:09,144] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7650016Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7650027Z 2023-07-07T20:05:31.7650339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7650803Z - self: 2023-07-07T20:05:31.7651230Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:31.7651430Z - aten_name: 2023-07-07T20:05:31.7651657Z - function_overloads: 2023-07-07T20:05:31.7651839Z - onnx_args: 2023-07-07T20:05:31.7652042Z - onnx_kwargs: 2023-07-07T20:05:31.7652572Z - diagnostic_context: 2023-07-07T20:05:31.7652891Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:31.7653389Z [2023-07-07 20:02:09,147] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_3]. 2023-07-07T20:05:31.7653591Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7653600Z 2023-07-07T20:05:31.7653910Z [2023-07-07 20:02:09,147] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7654210Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7654219Z 2023-07-07T20:05:31.7654493Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7654933Z - self: 2023-07-07T20:05:31.7655244Z - node: fx.Node(full_3[call_function]'aten.full.default') 2023-07-07T20:05:31.7655418Z - aten_name: 2023-07-07T20:05:31.7655617Z - function_overloads: 2023-07-07T20:05:31.7655790Z - onnx_args: 2023-07-07T20:05:31.7655970Z - onnx_kwargs: 2023-07-07T20:05:31.7656429Z - diagnostic_context: 2023-07-07T20:05:31.7656677Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:31.7657059Z [2023-07-07 20:02:09,158] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax_1]. 2023-07-07T20:05:31.7657260Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7657269Z 2023-07-07T20:05:31.7657568Z [2023-07-07 20:02:09,158] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7657872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7657883Z 2023-07-07T20:05:31.7658156Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7658564Z - self: 2023-07-07T20:05:31.7658838Z - node: fx.Node(amax_1[call_function]'aten.amax.default') 2023-07-07T20:05:31.7659013Z - aten_name: 2023-07-07T20:05:31.7659205Z - function_overloads: 2023-07-07T20:05:31.7659377Z - onnx_args: 2023-07-07T20:05:31.7659556Z - onnx_kwargs: 2023-07-07T20:05:31.7660012Z - diagnostic_context: 2023-07-07T20:05:31.7660232Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:31.7660613Z [2023-07-07 20:02:09,167] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_2]. 2023-07-07T20:05:31.7660839Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7660850Z 2023-07-07T20:05:31.7661147Z [2023-07-07 20:02:09,167] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7661434Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7661442Z 2023-07-07T20:05:31.7661718Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7662125Z - self: 2023-07-07T20:05:31.7662400Z - node: fx.Node(sum_2[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:31.7662572Z - aten_name: 2023-07-07T20:05:31.7662770Z - function_overloads: 2023-07-07T20:05:31.7662945Z - onnx_args: 2023-07-07T20:05:31.7663109Z - onnx_kwargs: 2023-07-07T20:05:31.7663575Z - diagnostic_context: 2023-07-07T20:05:31.7663897Z - Return value: 2023-07-07T20:05:31.7664300Z [2023-07-07 20:02:09,196] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_7]. 2023-07-07T20:05:31.7664507Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7664567Z 2023-07-07T20:05:31.7664868Z [2023-07-07 20:02:09,197] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7665173Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7665182Z 2023-07-07T20:05:31.7665455Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7665859Z - self: 2023-07-07T20:05:31.7666173Z - node: fx.Node(permute_7[call_function]'aten.permute.default') 2023-07-07T20:05:31.7666342Z - aten_name: 2023-07-07T20:05:31.7666572Z - function_overloads: 2023-07-07T20:05:31.7666750Z - onnx_args: 2023-07-07T20:05:31.7666927Z - onnx_kwargs: 2023-07-07T20:05:31.7667386Z - diagnostic_context: 2023-07-07T20:05:31.7667619Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:31.7668011Z [2023-07-07 20:02:09,199] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:31.7668236Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7668244Z 2023-07-07T20:05:31.7668541Z [2023-07-07 20:02:09,199] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7668851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7668862Z 2023-07-07T20:05:31.7669135Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7669543Z - self: 2023-07-07T20:05:31.7669820Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:31.7669991Z - aten_name: 2023-07-07T20:05:31.7670190Z - function_overloads: 2023-07-07T20:05:31.7670352Z - onnx_args: 2023-07-07T20:05:31.7670531Z - onnx_kwargs: 2023-07-07T20:05:31.7670988Z - diagnostic_context: 2023-07-07T20:05:31.7671211Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.7671662Z [2023-07-07 20:02:09,219] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_3]. 2023-07-07T20:05:31.7671885Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7671895Z 2023-07-07T20:05:31.7672192Z [2023-07-07 20:02:09,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7672495Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7672503Z 2023-07-07T20:05:31.7672776Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7673169Z - self: 2023-07-07T20:05:31.7673516Z - node: fx.Node(native_layer_norm_3[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7673684Z - aten_name: 2023-07-07T20:05:31.7673885Z - function_overloads: 2023-07-07T20:05:31.7674061Z - onnx_args: 2023-07-07T20:05:31.7674238Z - onnx_kwargs: 2023-07-07T20:05:31.7674776Z - diagnostic_context: 2023-07-07T20:05:31.7675088Z - Return value: 2023-07-07T20:05:31.7675537Z [2023-07-07 20:02:09,265] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_4]. 2023-07-07T20:05:31.7675761Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7675770Z 2023-07-07T20:05:31.7676105Z [2023-07-07 20:02:09,265] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7676408Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7676419Z 2023-07-07T20:05:31.7676693Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7677099Z - self: 2023-07-07T20:05:31.7677449Z - node: fx.Node(native_layer_norm_4[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:31.7677655Z - aten_name: 2023-07-07T20:05:31.7677838Z - function_overloads: 2023-07-07T20:05:31.7678055Z - onnx_args: 2023-07-07T20:05:31.7678232Z - onnx_kwargs: 2023-07-07T20:05:31.7678695Z - diagnostic_context: 2023-07-07T20:05:31.7679016Z - Return value: 2023-07-07T20:05:31.7680278Z 2023-07-07 20:02:09.531113095 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wte_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7681548Z 2023-07-07 20:02:09.531144287 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wpe_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7682801Z 2023-07-07 20:02:09.531151692 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7684039Z 2023-07-07 20:02:09.531158376 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7685391Z 2023-07-07 20:02:09.531165796 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7686647Z 2023-07-07 20:02:09.531174528 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7687984Z 2023-07-07 20:02:09.531181547 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7689287Z 2023-07-07 20:02:09.531188051 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7690571Z 2023-07-07 20:02:09.531206015 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7691864Z 2023-07-07 20:02:09.531212295 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7693110Z 2023-07-07 20:02:09.531218642 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7694358Z 2023-07-07 20:02:09.531225256 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7695621Z 2023-07-07 20:02:09.531232194 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7696871Z 2023-07-07 20:02:09.531238585 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7698127Z 2023-07-07 20:02:09.531244976 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7699399Z 2023-07-07 20:02:09.531251407 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7700680Z 2023-07-07 20:02:09.531257736 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7701950Z 2023-07-07 20:02:09.531266832 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7703244Z 2023-07-07 20:02:09.531275242 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7704508Z 2023-07-07 20:02:09.531281970 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7705766Z 2023-07-07 20:02:09.531288498 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7707043Z 2023-07-07 20:02:09.531294945 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7708287Z 2023-07-07 20:02:09.531301158 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7709565Z 2023-07-07 20:02:09.531307762 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7710815Z 2023-07-07 20:02:09.531314177 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7712146Z 2023-07-07 20:02:09.531320556 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7713423Z 2023-07-07 20:02:09.531326780 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7714763Z 2023-07-07 20:02:09.531336772 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7715993Z 2023-07-07 20:02:09.531343149 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7717233Z 2023-07-07 20:02:09.531350133 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7717902Z 2023-07-07 20:02:09.531359812 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'wte_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7719137Z 2023-07-07 20:02:09.531366485 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wte_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7719809Z 2023-07-07 20:02:09.531372711 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'wpe_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7721081Z 2023-07-07 20:02:09.531378507 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wpe_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7721766Z 2023-07-07 20:02:09.531384770 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_1_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7723068Z 2023-07-07 20:02:09.531390902 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7723736Z 2023-07-07 20:02:09.531396967 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_1_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7725086Z 2023-07-07 20:02:09.531403002 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7725766Z 2023-07-07 20:02:09.531411686 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7726998Z 2023-07-07 20:02:09.531417920 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7727699Z 2023-07-07 20:02:09.531425681 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_attn_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7728960Z 2023-07-07 20:02:09.531431827 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7729640Z 2023-07-07 20:02:09.531449904 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7730917Z 2023-07-07 20:02:09.531455821 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7731685Z 2023-07-07 20:02:09.531462056 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7732962Z 2023-07-07 20:02:09.531468152 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7733734Z 2023-07-07 20:02:09.531474331 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7734994Z 2023-07-07 20:02:09.531480358 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7735707Z 2023-07-07 20:02:09.531486542 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_2_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7736953Z 2023-07-07 20:02:09.531492401 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7737617Z 2023-07-07 20:02:09.531501699 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_2_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7738847Z 2023-07-07 20:02:09.531507767 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7739540Z 2023-07-07 20:02:09.531513814 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_fc_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7740795Z 2023-07-07 20:02:09.531519711 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7741473Z 2023-07-07 20:02:09.531526013 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_fc_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7742760Z 2023-07-07 20:02:09.531531981 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7743446Z 2023-07-07 20:02:09.531538104 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7744738Z 2023-07-07 20:02:09.531543894 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7745460Z 2023-07-07 20:02:09.531550008 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7746742Z 2023-07-07 20:02:09.531555949 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7747424Z 2023-07-07 20:02:09.531561827 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_1_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7748679Z 2023-07-07 20:02:09.531567864 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7749347Z 2023-07-07 20:02:09.531576416 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_1_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7750580Z 2023-07-07 20:02:09.531582385 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7751248Z 2023-07-07 20:02:09.531588340 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7752499Z 2023-07-07 20:02:09.531594544 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7753200Z 2023-07-07 20:02:09.531602147 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_attn_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7754531Z 2023-07-07 20:02:09.531608450 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7755362Z 2023-07-07 20:02:09.531614687 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7756692Z 2023-07-07 20:02:09.531620677 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7757422Z 2023-07-07 20:02:09.531626857 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7758693Z 2023-07-07 20:02:09.531632632 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7759376Z 2023-07-07 20:02:09.531638824 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7760649Z 2023-07-07 20:02:09.531644788 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7761327Z 2023-07-07 20:02:09.531653159 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_2_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7762560Z 2023-07-07 20:02:09.531658944 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7763224Z 2023-07-07 20:02:09.531665019 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_2_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7764590Z 2023-07-07 20:02:09.531671019 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7765354Z 2023-07-07 20:02:09.531676942 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_fc_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7766616Z 2023-07-07 20:02:09.531682949 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7767374Z 2023-07-07 20:02:09.531689163 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_fc_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7768617Z 2023-07-07 20:02:09.531694987 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7769345Z 2023-07-07 20:02:09.531701137 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7770615Z 2023-07-07 20:02:09.531707112 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7771312Z 2023-07-07 20:02:09.531712979 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7772555Z 2023-07-07 20:02:09.531718929 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7773220Z 2023-07-07 20:02:09.531725086 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'ln_f_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7774463Z 2023-07-07 20:02:09.531733517 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7775124Z 2023-07-07 20:02:09.531739385 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'ln_f_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:31.7776422Z 2023-07-07 20:02:09.531745355 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7777091Z 2023-07-07 20:02:09.539161517 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'lm_head_weight'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.7777796Z 2023-07-07 20:02:09.539183895 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'transformer_h_0_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.7778523Z 2023-07-07 20:02:09.539191601 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'h_0_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.7779231Z 2023-07-07 20:02:09.539206640 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'transformer_h_1_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.7779936Z 2023-07-07 20:02:09.539223075 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'h_1_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.7780055Z PASSED [3.6727s] [ 35%] 2023-07-07T20:05:31.7781760Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_large_scale_exporter_with_toy_mlp 2023-07-07 20:02:10.624544914 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc0_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7783008Z 2023-07-07 20:02:10.624565656 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc0_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7784249Z 2023-07-07 20:02:10.624570410 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7785485Z 2023-07-07 20:02:10.624574822 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7786727Z 2023-07-07 20:02:10.624584276 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7788039Z 2023-07-07 20:02:10.624588323 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7789302Z 2023-07-07 20:02:10.624592246 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc3_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7790587Z 2023-07-07 20:02:10.624596185 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc3_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:31.7790740Z PASSED [0.2829s] [ 36%] 2023-07-07T20:05:31.7791495Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_log_sigmoid [2023-07-07 20:02:10,908] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T20:05:31.7791711Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7791937Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7791948Z 2023-07-07T20:05:31.7792250Z [2023-07-07 20:02:10,908] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7792560Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7792569Z 2023-07-07T20:05:31.7792842Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7793255Z - self: 2023-07-07T20:05:31.7793545Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T20:05:31.7793718Z - aten_name: 2023-07-07T20:05:31.7793906Z - function_overloads: 2023-07-07T20:05:31.7794083Z - onnx_args: 2023-07-07T20:05:31.7794263Z - onnx_kwargs: 2023-07-07T20:05:31.7794766Z - diagnostic_context: 2023-07-07T20:05:31.7795005Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T20:05:31.7795387Z [2023-07-07 20:02:10,924] torch.onnx: [WARNING] FX Node: call_function:aten.log1p.default[name=log1p]. 2023-07-07T20:05:31.7795589Z ONNX Node: aten_log1p[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7795872Z [2023-07-07 20:02:10,924] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.7795974Z ### Exception log 2023-07-07T20:05:31.7796067Z ``` 2023-07-07T20:05:31.7796209Z Traceback (most recent call last): 2023-07-07T20:05:31.7796218Z 2023-07-07T20:05:31.7796730Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.7796871Z torch.testing.assert_close( 2023-07-07T20:05:31.7796879Z 2023-07-07T20:05:31.7797317Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.7797457Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.7797465Z 2023-07-07T20:05:31.7797702Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.7797711Z 2023-07-07T20:05:31.7797833Z Mismatched elements: 1 / 2 (50.0%) 2023-07-07T20:05:31.7798098Z Greatest absolute difference: nan at index (1,) (up to 0.001 allowed) 2023-07-07T20:05:31.7798301Z Greatest relative difference: nan at index (1,) (up to 0.0001 allowed) 2023-07-07T20:05:31.7798312Z 2023-07-07T20:05:31.7798404Z ``` 2023-07-07T20:05:31.7798586Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7799047Z - diagnostic_context: 2023-07-07T20:05:31.7799321Z - node: fx.Node(log1p[call_function]'aten.log1p.default') 2023-07-07T20:05:31.7799539Z - symbolic_fn: `OnnxFunction(aten_log1p)` 2023-07-07T20:05:31.7799740Z - torch_args: 2023-07-07T20:05:31.7799919Z - torch_kwargs: 2023-07-07T20:05:31.7800141Z - Return value: 2023-07-07T20:05:31.7800257Z PASSED [0.2634s] [ 37%] 2023-07-07T20:05:31.7800626Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_matmul PASSED [0.0975s] [ 37%] 2023-07-07T20:05:31.7801407Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_mnist [2023-07-07 20:02:11,257] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.7801659Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7801667Z 2023-07-07T20:05:31.7801967Z [2023-07-07 20:02:11,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7802277Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7802288Z 2023-07-07T20:05:31.7802553Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7802955Z - self: 2023-07-07T20:05:31.7803277Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7803447Z - aten_name: 2023-07-07T20:05:31.7803652Z - function_overloads: 2023-07-07T20:05:31.7803827Z - onnx_args: 2023-07-07T20:05:31.7804007Z - onnx_kwargs: 2023-07-07T20:05:31.7804535Z - diagnostic_context: 2023-07-07T20:05:31.7804906Z - Return value: 2023-07-07T20:05:31.7805397Z [2023-07-07 20:02:11,262] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.7805650Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7806005Z [2023-07-07 20:02:11,262] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7806133Z ### Exception log 2023-07-07T20:05:31.7806239Z ``` 2023-07-07T20:05:31.7806402Z Traceback (most recent call last): 2023-07-07T20:05:31.7806411Z 2023-07-07T20:05:31.7806982Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7807196Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7807205Z 2023-07-07T20:05:31.7807666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7807825Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7807833Z 2023-07-07T20:05:31.7808400Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.7808565Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.7808574Z 2023-07-07T20:05:31.7809026Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7809260Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7809269Z 2023-07-07T20:05:31.7809825Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7810061Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7810070Z 2023-07-07T20:05:31.7810637Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.7810764Z result = op.Conv( 2023-07-07T20:05:31.7810773Z 2023-07-07T20:05:31.7811267Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.7811431Z return op( 2023-07-07T20:05:31.7811439Z 2023-07-07T20:05:31.7811928Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7812147Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7812156Z 2023-07-07T20:05:31.7812612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7812835Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7812887Z 2023-07-07T20:05:31.7813346Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7813562Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7813570Z 2023-07-07T20:05:31.7814027Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.7814322Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.7814334Z 2023-07-07T20:05:31.7814779Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.7814933Z node.attribute.extend( 2023-07-07T20:05:31.7814942Z 2023-07-07T20:05:31.7815389Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.7815542Z make_attribute(key, value) 2023-07-07T20:05:31.7815550Z 2023-07-07T20:05:31.7816010Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.7816141Z raise ValueError( 2023-07-07T20:05:31.7816149Z 2023-07-07T20:05:31.7816447Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.7816455Z 2023-07-07T20:05:31.7816560Z ``` 2023-07-07T20:05:31.7816754Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7817293Z - diagnostic_context: 2023-07-07T20:05:31.7817667Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7818034Z - symbolic_fn: 2023-07-07T20:05:31.7818236Z - torch_args: 2023-07-07T20:05:31.7818449Z - torch_kwargs: 2023-07-07T20:05:31.7818670Z - Return value: 2023-07-07T20:05:31.7819149Z [2023-07-07 20:02:11,306] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.7819399Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7819407Z 2023-07-07T20:05:31.7819746Z [2023-07-07 20:02:11,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7820091Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7820103Z 2023-07-07T20:05:31.7820418Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7820885Z - self: 2023-07-07T20:05:31.7821255Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7821449Z - aten_name: 2023-07-07T20:05:31.7821735Z - function_overloads: 2023-07-07T20:05:31.7821922Z - onnx_args: 2023-07-07T20:05:31.7822122Z - onnx_kwargs: 2023-07-07T20:05:31.7822651Z - diagnostic_context: 2023-07-07T20:05:31.7823021Z - Return value: 2023-07-07T20:05:31.7823510Z [2023-07-07 20:02:11,322] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.7823753Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7824135Z [2023-07-07 20:02:11,322] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7824280Z ### Exception log 2023-07-07T20:05:31.7824395Z ``` 2023-07-07T20:05:31.7824562Z Traceback (most recent call last): 2023-07-07T20:05:31.7824573Z 2023-07-07T20:05:31.7825168Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7825375Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7825424Z 2023-07-07T20:05:31.7825879Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7826040Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7826049Z 2023-07-07T20:05:31.7826606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.7826773Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.7826782Z 2023-07-07T20:05:31.7827223Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7827458Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7827467Z 2023-07-07T20:05:31.7827953Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7828182Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7828195Z 2023-07-07T20:05:31.7828769Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.7828903Z result = op.Conv( 2023-07-07T20:05:31.7828911Z 2023-07-07T20:05:31.7829419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.7829545Z return op( 2023-07-07T20:05:31.7829553Z 2023-07-07T20:05:31.7830010Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7830221Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7830230Z 2023-07-07T20:05:31.7830671Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7830900Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7830911Z 2023-07-07T20:05:31.7831368Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7831582Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7831591Z 2023-07-07T20:05:31.7832050Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.7832351Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.7832362Z 2023-07-07T20:05:31.7832802Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.7832958Z node.attribute.extend( 2023-07-07T20:05:31.7832967Z 2023-07-07T20:05:31.7833409Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.7833619Z make_attribute(key, value) 2023-07-07T20:05:31.7833628Z 2023-07-07T20:05:31.7834070Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.7834203Z raise ValueError( 2023-07-07T20:05:31.7834211Z 2023-07-07T20:05:31.7834510Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.7834519Z 2023-07-07T20:05:31.7834696Z ``` 2023-07-07T20:05:31.7834903Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7835439Z - diagnostic_context: 2023-07-07T20:05:31.7835903Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7836269Z - symbolic_fn: 2023-07-07T20:05:31.7836461Z - torch_args: 2023-07-07T20:05:31.7836671Z - torch_kwargs: 2023-07-07T20:05:31.7836891Z - Return value: 2023-07-07T20:05:31.7837449Z [2023-07-07 20:02:11,405] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.7837761Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7837769Z 2023-07-07T20:05:31.7838114Z [2023-07-07 20:02:11,405] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7838467Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7838512Z 2023-07-07T20:05:31.7838824Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7839296Z - self: 2023-07-07T20:05:31.7839709Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.7839905Z - aten_name: 2023-07-07T20:05:31.7840136Z - function_overloads: 2023-07-07T20:05:31.7840341Z - onnx_args: 2023-07-07T20:05:31.7840546Z - onnx_kwargs: 2023-07-07T20:05:31.7841076Z - diagnostic_context: 2023-07-07T20:05:31.7841441Z - Return value: 2023-07-07T20:05:31.7841858Z [2023-07-07 20:02:11,551] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:31.7842084Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7842096Z 2023-07-07T20:05:31.7842437Z [2023-07-07 20:02:11,551] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7842780Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7842789Z 2023-07-07T20:05:31.7843103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7843569Z - self: 2023-07-07T20:05:31.7843874Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:31.7844074Z - aten_name: 2023-07-07T20:05:31.7844302Z - function_overloads: 2023-07-07T20:05:31.7844587Z - onnx_args: 2023-07-07T20:05:31.7844790Z - onnx_kwargs: 2023-07-07T20:05:31.7845326Z - diagnostic_context: 2023-07-07T20:05:31.7845580Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:31.7846019Z [2023-07-07 20:02:11,560] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:31.7846274Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7846284Z 2023-07-07T20:05:31.7846619Z [2023-07-07 20:02:11,560] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7847034Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7847049Z 2023-07-07T20:05:31.7847346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7847809Z - self: 2023-07-07T20:05:31.7848120Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:31.7848316Z - aten_name: 2023-07-07T20:05:31.7848595Z - function_overloads: 2023-07-07T20:05:31.7848794Z - onnx_args: 2023-07-07T20:05:31.7849037Z - onnx_kwargs: 2023-07-07T20:05:31.7849572Z - diagnostic_context: 2023-07-07T20:05:31.7849925Z - Return value: 2023-07-07T20:05:31.7850353Z [2023-07-07 20:02:11,566] torch.onnx: [WARNING] FX Node: call_function:aten.log.default[name=log]. 2023-07-07T20:05:31.7850616Z ONNX Node: aten_log[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7850936Z [2023-07-07 20:02:11,566] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.7851061Z ### Exception log 2023-07-07T20:05:31.7851168Z ``` 2023-07-07T20:05:31.7851331Z Traceback (most recent call last): 2023-07-07T20:05:31.7851340Z 2023-07-07T20:05:31.7851927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.7852085Z torch.testing.assert_close( 2023-07-07T20:05:31.7852093Z 2023-07-07T20:05:31.7852595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.7852752Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.7852762Z 2023-07-07T20:05:31.7853032Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.7853042Z 2023-07-07T20:05:31.7853197Z Mismatched elements: 38 / 64 (59.4%) 2023-07-07T20:05:31.7853431Z Greatest absolute difference: nan at index (0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.7853662Z Greatest relative difference: nan at index (0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.7853671Z 2023-07-07T20:05:31.7853776Z ``` 2023-07-07T20:05:31.7853970Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7854497Z - diagnostic_context: 2023-07-07T20:05:31.7854794Z - node: fx.Node(log[call_function]'aten.log.default') 2023-07-07T20:05:31.7855036Z - symbolic_fn: `OnnxFunction(aten_log)` 2023-07-07T20:05:31.7855237Z - torch_args: 2023-07-07T20:05:31.7855443Z - torch_kwargs: 2023-07-07T20:05:31.7855663Z - Return value: 2023-07-07T20:05:31.7855784Z PASSED [0.6891s] [ 38%] 2023-07-07T20:05:31.7856218Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_mutation PASSED [0.0671s] [ 39%] 2023-07-07T20:05:31.7856652Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_none_input PASSED [0.0551s] [ 40%] 2023-07-07T20:05:31.7857555Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_resnet18 [2023-07-07 20:02:13,980] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.7857807Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7857816Z 2023-07-07T20:05:31.7858160Z [2023-07-07 20:02:13,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7858514Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7858522Z 2023-07-07T20:05:31.7858872Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7859339Z - self: 2023-07-07T20:05:31.7859706Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7859888Z - aten_name: 2023-07-07T20:05:31.7860118Z - function_overloads: 2023-07-07T20:05:31.7860318Z - onnx_args: 2023-07-07T20:05:31.7860523Z - onnx_kwargs: 2023-07-07T20:05:31.7861049Z - diagnostic_context: 2023-07-07T20:05:31.7861457Z - Return value: 2023-07-07T20:05:31.7861972Z [2023-07-07 20:02:13,987] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.7862214Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7862546Z [2023-07-07 20:02:13,987] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7862672Z ### Exception log 2023-07-07T20:05:31.7862812Z ``` 2023-07-07T20:05:31.7862978Z Traceback (most recent call last): 2023-07-07T20:05:31.7862987Z 2023-07-07T20:05:31.7863578Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7863788Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7863797Z 2023-07-07T20:05:31.7864254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7864420Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7864431Z 2023-07-07T20:05:31.7864985Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.7865146Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.7865154Z 2023-07-07T20:05:31.7865605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7865835Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7865847Z 2023-07-07T20:05:31.7866323Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7866552Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7866561Z 2023-07-07T20:05:31.7867146Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.7867279Z result = op.Conv( 2023-07-07T20:05:31.7867290Z 2023-07-07T20:05:31.7867789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.7867910Z return op( 2023-07-07T20:05:31.7867918Z 2023-07-07T20:05:31.7868358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7868577Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7868585Z 2023-07-07T20:05:31.7869042Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7869264Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7869272Z 2023-07-07T20:05:31.7869721Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7869940Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7869948Z 2023-07-07T20:05:31.7870420Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.7870717Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.7870726Z 2023-07-07T20:05:31.7871201Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.7871360Z node.attribute.extend( 2023-07-07T20:05:31.7871369Z 2023-07-07T20:05:31.7871802Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.7871952Z make_attribute(key, value) 2023-07-07T20:05:31.7871960Z 2023-07-07T20:05:31.7872414Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.7872549Z raise ValueError( 2023-07-07T20:05:31.7872593Z 2023-07-07T20:05:31.7872926Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.7872935Z 2023-07-07T20:05:31.7873044Z ``` 2023-07-07T20:05:31.7873252Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7873782Z - diagnostic_context: 2023-07-07T20:05:31.7874151Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7874540Z - symbolic_fn: 2023-07-07T20:05:31.7874810Z - torch_args: 2023-07-07T20:05:31.7875020Z - torch_kwargs: 2023-07-07T20:05:31.7875241Z - Return value: 2023-07-07T20:05:31.7875749Z [2023-07-07 20:02:13,997] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm]. 2023-07-07T20:05:31.7876011Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7876022Z 2023-07-07T20:05:31.7876372Z [2023-07-07 20:02:13,997] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7876723Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7876732Z 2023-07-07T20:05:31.7877036Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7877508Z - self: 2023-07-07T20:05:31.7877894Z - node: fx.Node(native_batch_norm[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.7878088Z - aten_name: 2023-07-07T20:05:31.7878320Z - function_overloads: 2023-07-07T20:05:31.7878525Z - onnx_args: 2023-07-07T20:05:31.7878730Z - onnx_kwargs: 2023-07-07T20:05:31.7879257Z - diagnostic_context: 2023-07-07T20:05:31.7879612Z - Return value: 2023-07-07T20:05:31.7880121Z [2023-07-07 20:02:14,014] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm]. 2023-07-07T20:05:31.7880373Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7880694Z [2023-07-07 20:02:14,014] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.7880822Z ### Exception log 2023-07-07T20:05:31.7880932Z ``` 2023-07-07T20:05:31.7881092Z Traceback (most recent call last): 2023-07-07T20:05:31.7881101Z 2023-07-07T20:05:31.7881680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.7881829Z torch.testing.assert_close( 2023-07-07T20:05:31.7881839Z 2023-07-07T20:05:31.7882332Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.7882491Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.7882500Z 2023-07-07T20:05:31.7882771Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.7882780Z 2023-07-07T20:05:31.7882948Z Mismatched elements: 388864 / 802816 (48.4%) 2023-07-07T20:05:31.7883185Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.7883487Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.7883498Z 2023-07-07T20:05:31.7883602Z ``` 2023-07-07T20:05:31.7883794Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7884329Z - diagnostic_context: 2023-07-07T20:05:31.7884808Z - node: fx.Node(native_batch_norm[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.7885173Z - symbolic_fn: 2023-07-07T20:05:31.7885441Z - torch_args: 2023-07-07T20:05:31.7885646Z - torch_kwargs: 2023-07-07T20:05:31.7885916Z - Return value: 2023-07-07T20:05:31.7886462Z [2023-07-07 20:02:14,079] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.7886720Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7886745Z 2023-07-07T20:05:31.7887074Z [2023-07-07 20:02:14,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7887468Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7887478Z 2023-07-07T20:05:31.7887793Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7888257Z - self: 2023-07-07T20:05:31.7888693Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.7888889Z - aten_name: 2023-07-07T20:05:31.7889122Z - function_overloads: 2023-07-07T20:05:31.7889320Z - onnx_args: 2023-07-07T20:05:31.7889507Z - onnx_kwargs: 2023-07-07T20:05:31.7890035Z - diagnostic_context: 2023-07-07T20:05:31.7890406Z - Return value: 2023-07-07T20:05:31.7890952Z [2023-07-07 20:02:14,090] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.7891218Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7891569Z [2023-07-07 20:02:14,090] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7891693Z ### Exception log 2023-07-07T20:05:31.7891784Z ``` 2023-07-07T20:05:31.7891951Z Traceback (most recent call last): 2023-07-07T20:05:31.7891960Z 2023-07-07T20:05:31.7892545Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7892752Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7892761Z 2023-07-07T20:05:31.7893217Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7893376Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7893385Z 2023-07-07T20:05:31.7893964Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 834, in aten_max_pool2d_with_indices 2023-07-07T20:05:31.7894218Z kernel_shape, strides, pads, dilations = _adjust_attributes_of_max_pool( 2023-07-07T20:05:31.7894227Z 2023-07-07T20:05:31.7894824Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 738, in _adjust_attributes_of_max_pool 2023-07-07T20:05:31.7894954Z elif not stride: 2023-07-07T20:05:31.7894962Z 2023-07-07T20:05:31.7895252Z ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() 2023-07-07T20:05:31.7895274Z 2023-07-07T20:05:31.7895360Z ``` 2023-07-07T20:05:31.7895570Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7896144Z - diagnostic_context: 2023-07-07T20:05:31.7896580Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.7896942Z - symbolic_fn: 2023-07-07T20:05:31.7897145Z - torch_args: 2023-07-07T20:05:31.7897353Z - torch_kwargs: 2023-07-07T20:05:31.7897560Z - Return value: 2023-07-07T20:05:31.7898051Z [2023-07-07 20:02:14,093] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.7898370Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7898379Z 2023-07-07T20:05:31.7898724Z [2023-07-07 20:02:14,093] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7899073Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7899087Z 2023-07-07T20:05:31.7899399Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7899901Z - self: 2023-07-07T20:05:31.7900271Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7900462Z - aten_name: 2023-07-07T20:05:31.7900680Z - function_overloads: 2023-07-07T20:05:31.7900876Z - onnx_args: 2023-07-07T20:05:31.7901077Z - onnx_kwargs: 2023-07-07T20:05:31.7901613Z - diagnostic_context: 2023-07-07T20:05:31.7901979Z - Return value: 2023-07-07T20:05:31.7902478Z [2023-07-07 20:02:14,101] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.7902724Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7903054Z [2023-07-07 20:02:14,102] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7903185Z ### Exception log 2023-07-07T20:05:31.7903289Z ``` 2023-07-07T20:05:31.7903452Z Traceback (most recent call last): 2023-07-07T20:05:31.7903461Z 2023-07-07T20:05:31.7904036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7904246Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7904257Z 2023-07-07T20:05:31.7904716Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7904875Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7904884Z 2023-07-07T20:05:31.7905447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.7905599Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.7905610Z 2023-07-07T20:05:31.7906054Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7906290Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7906299Z 2023-07-07T20:05:31.7906777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7907010Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7907021Z 2023-07-07T20:05:31.7907598Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.7907727Z result = op.Conv( 2023-07-07T20:05:31.7907735Z 2023-07-07T20:05:31.7908236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.7908395Z return op( 2023-07-07T20:05:31.7908404Z 2023-07-07T20:05:31.7908861Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7909064Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7909072Z 2023-07-07T20:05:31.7909528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7909747Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7909756Z 2023-07-07T20:05:31.7910253Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7910499Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7910508Z 2023-07-07T20:05:31.7910981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.7911281Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.7911289Z 2023-07-07T20:05:31.7911773Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.7911926Z node.attribute.extend( 2023-07-07T20:05:31.7911935Z 2023-07-07T20:05:31.7912371Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.7912505Z make_attribute(key, value) 2023-07-07T20:05:31.7912513Z 2023-07-07T20:05:31.7912973Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.7913107Z raise ValueError( 2023-07-07T20:05:31.7913115Z 2023-07-07T20:05:31.7913413Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.7913421Z 2023-07-07T20:05:31.7913522Z ``` 2023-07-07T20:05:31.7913731Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7914264Z - diagnostic_context: 2023-07-07T20:05:31.7914714Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7915073Z - symbolic_fn: 2023-07-07T20:05:31.7915280Z - torch_args: 2023-07-07T20:05:31.7915484Z - torch_kwargs: 2023-07-07T20:05:31.7915673Z - Return value: 2023-07-07T20:05:31.7916120Z [2023-07-07 20:02:14,108] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_1]. 2023-07-07T20:05:31.7916342Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7916355Z 2023-07-07T20:05:31.7916661Z [2023-07-07 20:02:14,108] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7917015Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7917027Z 2023-07-07T20:05:31.7917346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7917806Z - self: 2023-07-07T20:05:31.7918196Z - node: fx.Node(native_batch_norm_1[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.7918392Z - aten_name: 2023-07-07T20:05:31.7918623Z - function_overloads: 2023-07-07T20:05:31.7918824Z - onnx_args: 2023-07-07T20:05:31.7919030Z - onnx_kwargs: 2023-07-07T20:05:31.7919562Z - diagnostic_context: 2023-07-07T20:05:31.7919912Z - Return value: 2023-07-07T20:05:31.7920428Z [2023-07-07 20:02:14,117] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_1]. 2023-07-07T20:05:31.7920739Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7921069Z [2023-07-07 20:02:14,117] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.7921198Z ### Exception log 2023-07-07T20:05:31.7921309Z ``` 2023-07-07T20:05:31.7921471Z Traceback (most recent call last): 2023-07-07T20:05:31.7921482Z 2023-07-07T20:05:31.7922068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.7922218Z torch.testing.assert_close( 2023-07-07T20:05:31.7922278Z 2023-07-07T20:05:31.7922818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.7922981Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.7922989Z 2023-07-07T20:05:31.7923260Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.7923269Z 2023-07-07T20:05:31.7923440Z Mismatched elements: 125440 / 200704 (62.5%) 2023-07-07T20:05:31.7923683Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.7923959Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.7923967Z 2023-07-07T20:05:31.7924073Z ``` 2023-07-07T20:05:31.7924278Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7924969Z - diagnostic_context: 2023-07-07T20:05:31.7925364Z - node: fx.Node(native_batch_norm_1[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.7925735Z - symbolic_fn: 2023-07-07T20:05:31.7925943Z - torch_args: 2023-07-07T20:05:31.7926153Z - torch_kwargs: 2023-07-07T20:05:31.7926372Z - Return value: 2023-07-07T20:05:31.7926869Z [2023-07-07 20:02:14,160] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.7927108Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7927133Z 2023-07-07T20:05:31.7927460Z [2023-07-07 20:02:14,161] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7927802Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7927811Z 2023-07-07T20:05:31.7928121Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7928594Z - self: 2023-07-07T20:05:31.7928971Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7929169Z - aten_name: 2023-07-07T20:05:31.7929401Z - function_overloads: 2023-07-07T20:05:31.7929602Z - onnx_args: 2023-07-07T20:05:31.7929787Z - onnx_kwargs: 2023-07-07T20:05:31.7930308Z - diagnostic_context: 2023-07-07T20:05:31.7930656Z - Return value: 2023-07-07T20:05:31.7931155Z [2023-07-07 20:02:14,180] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.7931399Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7931743Z [2023-07-07 20:02:14,181] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7931867Z ### Exception log 2023-07-07T20:05:31.7931959Z ``` 2023-07-07T20:05:31.7932120Z Traceback (most recent call last): 2023-07-07T20:05:31.7932128Z 2023-07-07T20:05:31.7932707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7932917Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7932928Z 2023-07-07T20:05:31.7933451Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7933618Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7933627Z 2023-07-07T20:05:31.7934185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.7934347Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.7934356Z 2023-07-07T20:05:31.7934808Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7935088Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7935097Z 2023-07-07T20:05:31.7935615Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7935846Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7935856Z 2023-07-07T20:05:31.7936433Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.7936602Z result = op.Conv( 2023-07-07T20:05:31.7936611Z 2023-07-07T20:05:31.7937110Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.7937229Z return op( 2023-07-07T20:05:31.7937238Z 2023-07-07T20:05:31.7937694Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7937913Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7937923Z 2023-07-07T20:05:31.7938346Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7938566Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7938574Z 2023-07-07T20:05:31.7939020Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7939235Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7939246Z 2023-07-07T20:05:31.7939712Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.7940013Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.7940022Z 2023-07-07T20:05:31.7940464Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.7940624Z node.attribute.extend( 2023-07-07T20:05:31.7940633Z 2023-07-07T20:05:31.7941083Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.7941235Z make_attribute(key, value) 2023-07-07T20:05:31.7941243Z 2023-07-07T20:05:31.7941697Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.7941820Z raise ValueError( 2023-07-07T20:05:31.7941842Z 2023-07-07T20:05:31.7942128Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.7942136Z 2023-07-07T20:05:31.7942244Z ``` 2023-07-07T20:05:31.7942450Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7942986Z - diagnostic_context: 2023-07-07T20:05:31.7943359Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7943727Z - symbolic_fn: 2023-07-07T20:05:31.7943930Z - torch_args: 2023-07-07T20:05:31.7944124Z - torch_kwargs: 2023-07-07T20:05:31.7944344Z - Return value: 2023-07-07T20:05:31.7944865Z [2023-07-07 20:02:14,195] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_2]. 2023-07-07T20:05:31.7945164Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7945176Z 2023-07-07T20:05:31.7945518Z [2023-07-07 20:02:14,196] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7945869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7945881Z 2023-07-07T20:05:31.7946194Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7946668Z - self: 2023-07-07T20:05:31.7947139Z - node: fx.Node(native_batch_norm_2[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.7947324Z - aten_name: 2023-07-07T20:05:31.7947555Z - function_overloads: 2023-07-07T20:05:31.7947755Z - onnx_args: 2023-07-07T20:05:31.7947958Z - onnx_kwargs: 2023-07-07T20:05:31.7948484Z - diagnostic_context: 2023-07-07T20:05:31.7948883Z - Return value: 2023-07-07T20:05:31.7949390Z [2023-07-07 20:02:14,204] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_2]. 2023-07-07T20:05:31.7949644Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7949952Z [2023-07-07 20:02:14,204] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.7950075Z ### Exception log 2023-07-07T20:05:31.7950181Z ``` 2023-07-07T20:05:31.7950345Z Traceback (most recent call last): 2023-07-07T20:05:31.7950353Z 2023-07-07T20:05:31.7950938Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.7951104Z torch.testing.assert_close( 2023-07-07T20:05:31.7951112Z 2023-07-07T20:05:31.7951615Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.7951777Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.7951787Z 2023-07-07T20:05:31.7952045Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.7952071Z 2023-07-07T20:05:31.7952228Z Mismatched elements: 78400 / 200704 (39.1%) 2023-07-07T20:05:31.7952466Z Greatest absolute difference: nan at index (0, 6, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.7952709Z Greatest relative difference: nan at index (0, 6, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.7952720Z 2023-07-07T20:05:31.7952824Z ``` 2023-07-07T20:05:31.7953028Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7953572Z - diagnostic_context: 2023-07-07T20:05:31.7953964Z - node: fx.Node(native_batch_norm_2[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.7954319Z - symbolic_fn: 2023-07-07T20:05:31.7954524Z - torch_args: 2023-07-07T20:05:31.7954796Z - torch_kwargs: 2023-07-07T20:05:31.7955024Z - Return value: 2023-07-07T20:05:31.7955513Z [2023-07-07 20:02:14,239] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.7955760Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7955768Z 2023-07-07T20:05:31.7956112Z [2023-07-07 20:02:14,239] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7956467Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7956480Z 2023-07-07T20:05:31.7956799Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7957253Z - self: 2023-07-07T20:05:31.7957671Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7957870Z - aten_name: 2023-07-07T20:05:31.7958096Z - function_overloads: 2023-07-07T20:05:31.7958295Z - onnx_args: 2023-07-07T20:05:31.7958494Z - onnx_kwargs: 2023-07-07T20:05:31.7959015Z - diagnostic_context: 2023-07-07T20:05:31.7959370Z - Return value: 2023-07-07T20:05:31.7959866Z [2023-07-07 20:02:14,247] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.7982405Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7982809Z [2023-07-07 20:02:14,247] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.7982942Z ### Exception log 2023-07-07T20:05:31.7983050Z ``` 2023-07-07T20:05:31.7983214Z Traceback (most recent call last): 2023-07-07T20:05:31.7983229Z 2023-07-07T20:05:31.7983817Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.7984085Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.7984095Z 2023-07-07T20:05:31.7984538Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.7984703Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.7984711Z 2023-07-07T20:05:31.7985281Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.7985446Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.7985454Z 2023-07-07T20:05:31.7985905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.7986144Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.7986153Z 2023-07-07T20:05:31.7986636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.7986866Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.7986874Z 2023-07-07T20:05:31.7987450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.7987578Z result = op.Conv( 2023-07-07T20:05:31.7987587Z 2023-07-07T20:05:31.7988074Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.7988198Z return op( 2023-07-07T20:05:31.7988206Z 2023-07-07T20:05:31.7988659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.7988875Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.7988884Z 2023-07-07T20:05:31.7989342Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.7989563Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7989571Z 2023-07-07T20:05:31.7990027Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.7990238Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.7990246Z 2023-07-07T20:05:31.7990715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.7991005Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.7991028Z 2023-07-07T20:05:31.7991458Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.7991616Z node.attribute.extend( 2023-07-07T20:05:31.7991625Z 2023-07-07T20:05:31.7992136Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.7992290Z make_attribute(key, value) 2023-07-07T20:05:31.7992299Z 2023-07-07T20:05:31.7992758Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.7992889Z raise ValueError( 2023-07-07T20:05:31.7992897Z 2023-07-07T20:05:31.7993192Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.7993250Z 2023-07-07T20:05:31.7993356Z ``` 2023-07-07T20:05:31.7993562Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.7994120Z - diagnostic_context: 2023-07-07T20:05:31.7994498Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.7994965Z - symbolic_fn: 2023-07-07T20:05:31.7995175Z - torch_args: 2023-07-07T20:05:31.7995384Z - torch_kwargs: 2023-07-07T20:05:31.7995646Z - Return value: 2023-07-07T20:05:31.7996162Z [2023-07-07 20:02:14,253] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_3]. 2023-07-07T20:05:31.7996404Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.7996430Z 2023-07-07T20:05:31.7996748Z [2023-07-07 20:02:14,254] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.7997102Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.7997114Z 2023-07-07T20:05:31.7997425Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.7997892Z - self: 2023-07-07T20:05:31.7998289Z - node: fx.Node(native_batch_norm_3[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.7998491Z - aten_name: 2023-07-07T20:05:31.7998722Z - function_overloads: 2023-07-07T20:05:31.7998921Z - onnx_args: 2023-07-07T20:05:31.7999110Z - onnx_kwargs: 2023-07-07T20:05:31.7999636Z - diagnostic_context: 2023-07-07T20:05:31.8000003Z - Return value: 2023-07-07T20:05:31.8000521Z [2023-07-07 20:02:14,261] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_3]. 2023-07-07T20:05:31.8000780Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8001099Z [2023-07-07 20:02:14,261] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8001227Z ### Exception log 2023-07-07T20:05:31.8001320Z ``` 2023-07-07T20:05:31.8001478Z Traceback (most recent call last): 2023-07-07T20:05:31.8001489Z 2023-07-07T20:05:31.8002065Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8002229Z torch.testing.assert_close( 2023-07-07T20:05:31.8002237Z 2023-07-07T20:05:31.8002738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8002897Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8002905Z 2023-07-07T20:05:31.8003178Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8003186Z 2023-07-07T20:05:31.8003356Z Mismatched elements: 106624 / 200704 (53.1%) 2023-07-07T20:05:31.8003594Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8003816Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8003841Z 2023-07-07T20:05:31.8003929Z ``` 2023-07-07T20:05:31.8004170Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8004809Z - diagnostic_context: 2023-07-07T20:05:31.8005206Z - node: fx.Node(native_batch_norm_3[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8005570Z - symbolic_fn: 2023-07-07T20:05:31.8005777Z - torch_args: 2023-07-07T20:05:31.8005985Z - torch_kwargs: 2023-07-07T20:05:31.8006196Z - Return value: 2023-07-07T20:05:31.8006757Z [2023-07-07 20:02:14,281] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.8007052Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8007062Z 2023-07-07T20:05:31.8007402Z [2023-07-07 20:02:14,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8007751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8007800Z 2023-07-07T20:05:31.8008120Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8008582Z - self: 2023-07-07T20:05:31.8008952Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8009145Z - aten_name: 2023-07-07T20:05:31.8009357Z - function_overloads: 2023-07-07T20:05:31.8009563Z - onnx_args: 2023-07-07T20:05:31.8009764Z - onnx_kwargs: 2023-07-07T20:05:31.8010298Z - diagnostic_context: 2023-07-07T20:05:31.8010670Z - Return value: 2023-07-07T20:05:31.8011167Z [2023-07-07 20:02:14,288] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.8011413Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8011746Z [2023-07-07 20:02:14,288] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8011874Z ### Exception log 2023-07-07T20:05:31.8011975Z ``` 2023-07-07T20:05:31.8012136Z Traceback (most recent call last): 2023-07-07T20:05:31.8012145Z 2023-07-07T20:05:31.8012732Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8012943Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8012951Z 2023-07-07T20:05:31.8013407Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8013568Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8013577Z 2023-07-07T20:05:31.8014147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8014298Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8014309Z 2023-07-07T20:05:31.8014761Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8014997Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8015005Z 2023-07-07T20:05:31.8015494Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8015728Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8015736Z 2023-07-07T20:05:31.8016315Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8016447Z result = op.Conv( 2023-07-07T20:05:31.8016456Z 2023-07-07T20:05:31.8016997Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8017122Z return op( 2023-07-07T20:05:31.8017133Z 2023-07-07T20:05:31.8017586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8017788Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8017797Z 2023-07-07T20:05:31.8018252Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8018475Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8018520Z 2023-07-07T20:05:31.8019008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8019223Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8019231Z 2023-07-07T20:05:31.8019701Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8020004Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8020052Z 2023-07-07T20:05:31.8020496Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8020650Z node.attribute.extend( 2023-07-07T20:05:31.8020658Z 2023-07-07T20:05:31.8021101Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8021237Z make_attribute(key, value) 2023-07-07T20:05:31.8021250Z 2023-07-07T20:05:31.8021707Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8021840Z raise ValueError( 2023-07-07T20:05:31.8021848Z 2023-07-07T20:05:31.8022143Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8022151Z 2023-07-07T20:05:31.8022253Z ``` 2023-07-07T20:05:31.8022461Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8022997Z - diagnostic_context: 2023-07-07T20:05:31.8023372Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8023724Z - symbolic_fn: 2023-07-07T20:05:31.8023927Z - torch_args: 2023-07-07T20:05:31.8024132Z - torch_kwargs: 2023-07-07T20:05:31.8024352Z - Return value: 2023-07-07T20:05:31.8024867Z [2023-07-07 20:02:14,293] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_4]. 2023-07-07T20:05:31.8025133Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8025141Z 2023-07-07T20:05:31.8025477Z [2023-07-07 20:02:14,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8025782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8025791Z 2023-07-07T20:05:31.8026110Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8026564Z - self: 2023-07-07T20:05:31.8026959Z - node: fx.Node(native_batch_norm_4[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8027155Z - aten_name: 2023-07-07T20:05:31.8027383Z - function_overloads: 2023-07-07T20:05:31.8027585Z - onnx_args: 2023-07-07T20:05:31.8027790Z - onnx_kwargs: 2023-07-07T20:05:31.8028327Z - diagnostic_context: 2023-07-07T20:05:31.8028687Z - Return value: 2023-07-07T20:05:31.8029249Z [2023-07-07 20:02:14,299] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_4]. 2023-07-07T20:05:31.8029505Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8029827Z [2023-07-07 20:02:14,299] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8029955Z ### Exception log 2023-07-07T20:05:31.8030064Z ``` 2023-07-07T20:05:31.8030226Z Traceback (most recent call last): 2023-07-07T20:05:31.8030235Z 2023-07-07T20:05:31.8030806Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8030993Z torch.testing.assert_close( 2023-07-07T20:05:31.8031016Z 2023-07-07T20:05:31.8031551Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8031718Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8031726Z 2023-07-07T20:05:31.8031996Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8032004Z 2023-07-07T20:05:31.8032178Z Mismatched elements: 128576 / 200704 (64.1%) 2023-07-07T20:05:31.8032449Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8032691Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8032700Z 2023-07-07T20:05:31.8032800Z ``` 2023-07-07T20:05:31.8032970Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8033500Z - diagnostic_context: 2023-07-07T20:05:31.8033898Z - node: fx.Node(native_batch_norm_4[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8034275Z - symbolic_fn: 2023-07-07T20:05:31.8034471Z - torch_args: 2023-07-07T20:05:31.8034747Z - torch_kwargs: 2023-07-07T20:05:31.8034973Z - Return value: 2023-07-07T20:05:31.8035470Z [2023-07-07 20:02:14,326] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.8035706Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8035734Z 2023-07-07T20:05:31.8036065Z [2023-07-07 20:02:14,326] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8036419Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8036430Z 2023-07-07T20:05:31.8036742Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8037219Z - self: 2023-07-07T20:05:31.8037594Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8037791Z - aten_name: 2023-07-07T20:05:31.8038023Z - function_overloads: 2023-07-07T20:05:31.8038221Z - onnx_args: 2023-07-07T20:05:31.8038412Z - onnx_kwargs: 2023-07-07T20:05:31.8038943Z - diagnostic_context: 2023-07-07T20:05:31.8039314Z - Return value: 2023-07-07T20:05:31.8039807Z [2023-07-07 20:02:14,335] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.8040051Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8040395Z [2023-07-07 20:02:14,335] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8040525Z ### Exception log 2023-07-07T20:05:31.8040618Z ``` 2023-07-07T20:05:31.8040781Z Traceback (most recent call last): 2023-07-07T20:05:31.8040792Z 2023-07-07T20:05:31.8041382Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8041594Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8041646Z 2023-07-07T20:05:31.8042098Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8042261Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8042270Z 2023-07-07T20:05:31.8042829Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8042993Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8043001Z 2023-07-07T20:05:31.8043449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8043753Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8043762Z 2023-07-07T20:05:31.8044234Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8044557Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8044566Z 2023-07-07T20:05:31.8045158Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8045350Z result = op.Conv( 2023-07-07T20:05:31.8045358Z 2023-07-07T20:05:31.8045861Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8045978Z return op( 2023-07-07T20:05:31.8045988Z 2023-07-07T20:05:31.8046438Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8046660Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8046673Z 2023-07-07T20:05:31.8047125Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8047348Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8047356Z 2023-07-07T20:05:31.8047801Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8048018Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8048026Z 2023-07-07T20:05:31.8048495Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8048790Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8048799Z 2023-07-07T20:05:31.8049243Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8049403Z node.attribute.extend( 2023-07-07T20:05:31.8049411Z 2023-07-07T20:05:31.8049850Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8050002Z make_attribute(key, value) 2023-07-07T20:05:31.8050010Z 2023-07-07T20:05:31.8050477Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8050600Z raise ValueError( 2023-07-07T20:05:31.8050625Z 2023-07-07T20:05:31.8050908Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8050916Z 2023-07-07T20:05:31.8051017Z ``` 2023-07-07T20:05:31.8051225Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8051762Z - diagnostic_context: 2023-07-07T20:05:31.8052135Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8052502Z - symbolic_fn: 2023-07-07T20:05:31.8052709Z - torch_args: 2023-07-07T20:05:31.8052901Z - torch_kwargs: 2023-07-07T20:05:31.8053121Z - Return value: 2023-07-07T20:05:31.8053676Z [2023-07-07 20:02:14,340] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_5]. 2023-07-07T20:05:31.8053938Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8053949Z 2023-07-07T20:05:31.8054288Z [2023-07-07 20:02:14,340] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8054644Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8054653Z 2023-07-07T20:05:31.8054976Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8055497Z - self: 2023-07-07T20:05:31.8055931Z - node: fx.Node(native_batch_norm_5[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8056113Z - aten_name: 2023-07-07T20:05:31.8056344Z - function_overloads: 2023-07-07T20:05:31.8056541Z - onnx_args: 2023-07-07T20:05:31.8056748Z - onnx_kwargs: 2023-07-07T20:05:31.8057277Z - diagnostic_context: 2023-07-07T20:05:31.8057678Z - Return value: 2023-07-07T20:05:31.8058192Z [2023-07-07 20:02:14,346] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_5]. 2023-07-07T20:05:31.8058448Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8058759Z [2023-07-07 20:02:14,346] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8058885Z ### Exception log 2023-07-07T20:05:31.8058991Z ``` 2023-07-07T20:05:31.8059154Z Traceback (most recent call last): 2023-07-07T20:05:31.8059166Z 2023-07-07T20:05:31.8059750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8059914Z torch.testing.assert_close( 2023-07-07T20:05:31.8059925Z 2023-07-07T20:05:31.8060422Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8060585Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8060593Z 2023-07-07T20:05:31.8060853Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8060877Z 2023-07-07T20:05:31.8061027Z Mismatched elements: 52528 / 100352 (52.3%) 2023-07-07T20:05:31.8061267Z Greatest absolute difference: nan at index (0, 9, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8061508Z Greatest relative difference: nan at index (0, 9, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8061519Z 2023-07-07T20:05:31.8061625Z ``` 2023-07-07T20:05:31.8061834Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8062371Z - diagnostic_context: 2023-07-07T20:05:31.8062762Z - node: fx.Node(native_batch_norm_5[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8063118Z - symbolic_fn: 2023-07-07T20:05:31.8063326Z - torch_args: 2023-07-07T20:05:31.8063532Z - torch_kwargs: 2023-07-07T20:05:31.8063755Z - Return value: 2023-07-07T20:05:31.8064246Z [2023-07-07 20:02:14,390] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.8064487Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8064497Z 2023-07-07T20:05:31.8064840Z [2023-07-07 20:02:14,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8065197Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8065206Z 2023-07-07T20:05:31.8065517Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8066010Z - self: 2023-07-07T20:05:31.8066386Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8066585Z - aten_name: 2023-07-07T20:05:31.8066810Z - function_overloads: 2023-07-07T20:05:31.8067011Z - onnx_args: 2023-07-07T20:05:31.8067212Z - onnx_kwargs: 2023-07-07T20:05:31.8067745Z - diagnostic_context: 2023-07-07T20:05:31.8068096Z - Return value: 2023-07-07T20:05:31.8068669Z [2023-07-07 20:02:14,399] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.8068917Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8069265Z [2023-07-07 20:02:14,399] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8069398Z ### Exception log 2023-07-07T20:05:31.8069503Z ``` 2023-07-07T20:05:31.8069672Z Traceback (most recent call last): 2023-07-07T20:05:31.8069713Z 2023-07-07T20:05:31.8070301Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8070493Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8070517Z 2023-07-07T20:05:31.8070958Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8071118Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8071129Z 2023-07-07T20:05:31.8071685Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8071847Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8071855Z 2023-07-07T20:05:31.8072307Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8072542Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8072552Z 2023-07-07T20:05:31.8073040Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8073271Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8073282Z 2023-07-07T20:05:31.8073852Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8073973Z result = op.Conv( 2023-07-07T20:05:31.8073993Z 2023-07-07T20:05:31.8074474Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8074599Z return op( 2023-07-07T20:05:31.8074675Z 2023-07-07T20:05:31.8075134Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8075352Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8075361Z 2023-07-07T20:05:31.8075818Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8076042Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8076049Z 2023-07-07T20:05:31.8076504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8076719Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8076730Z 2023-07-07T20:05:31.8077202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8077494Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8077518Z 2023-07-07T20:05:31.8077941Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8078189Z node.attribute.extend( 2023-07-07T20:05:31.8078198Z 2023-07-07T20:05:31.8078643Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8078797Z make_attribute(key, value) 2023-07-07T20:05:31.8078805Z 2023-07-07T20:05:31.8079265Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8079397Z raise ValueError( 2023-07-07T20:05:31.8079405Z 2023-07-07T20:05:31.8079698Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8079745Z 2023-07-07T20:05:31.8079853Z ``` 2023-07-07T20:05:31.8080079Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8080615Z - diagnostic_context: 2023-07-07T20:05:31.8080984Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8081348Z - symbolic_fn: 2023-07-07T20:05:31.8081589Z - torch_args: 2023-07-07T20:05:31.8081795Z - torch_kwargs: 2023-07-07T20:05:31.8082017Z - Return value: 2023-07-07T20:05:31.8082533Z [2023-07-07 20:02:14,405] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_6]. 2023-07-07T20:05:31.8082779Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8082788Z 2023-07-07T20:05:31.8083128Z [2023-07-07 20:02:14,405] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8083478Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8083486Z 2023-07-07T20:05:31.8083800Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8084273Z - self: 2023-07-07T20:05:31.8084771Z - node: fx.Node(native_batch_norm_6[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8084973Z - aten_name: 2023-07-07T20:05:31.8085201Z - function_overloads: 2023-07-07T20:05:31.8085387Z - onnx_args: 2023-07-07T20:05:31.8085592Z - onnx_kwargs: 2023-07-07T20:05:31.8086116Z - diagnostic_context: 2023-07-07T20:05:31.8086483Z - Return value: 2023-07-07T20:05:31.8087000Z [2023-07-07 20:02:14,419] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_6]. 2023-07-07T20:05:31.8087259Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8087587Z [2023-07-07 20:02:14,419] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8087710Z ### Exception log 2023-07-07T20:05:31.8087801Z ``` 2023-07-07T20:05:31.8087968Z Traceback (most recent call last): 2023-07-07T20:05:31.8087980Z 2023-07-07T20:05:31.8088566Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8088733Z torch.testing.assert_close( 2023-07-07T20:05:31.8088741Z 2023-07-07T20:05:31.8089239Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8089398Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8089408Z 2023-07-07T20:05:31.8089679Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8089687Z 2023-07-07T20:05:31.8089858Z Mismatched elements: 56448 / 100352 (56.2%) 2023-07-07T20:05:31.8090094Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8090315Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8090323Z 2023-07-07T20:05:31.8090496Z ``` 2023-07-07T20:05:31.8090702Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8091239Z - diagnostic_context: 2023-07-07T20:05:31.8091636Z - node: fx.Node(native_batch_norm_6[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8091999Z - symbolic_fn: 2023-07-07T20:05:31.8092203Z - torch_args: 2023-07-07T20:05:31.8092412Z - torch_kwargs: 2023-07-07T20:05:31.8092668Z - Return value: 2023-07-07T20:05:31.8093208Z [2023-07-07 20:02:14,422] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.8093457Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8093466Z 2023-07-07T20:05:31.8093808Z [2023-07-07 20:02:14,422] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8094158Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8094212Z 2023-07-07T20:05:31.8094527Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8094998Z - self: 2023-07-07T20:05:31.8095377Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8095555Z - aten_name: 2023-07-07T20:05:31.8095787Z - function_overloads: 2023-07-07T20:05:31.8095990Z - onnx_args: 2023-07-07T20:05:31.8096197Z - onnx_kwargs: 2023-07-07T20:05:31.8096733Z - diagnostic_context: 2023-07-07T20:05:31.8097101Z - Return value: 2023-07-07T20:05:31.8097603Z [2023-07-07 20:02:14,430] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.8097849Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8098181Z [2023-07-07 20:02:14,430] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8098314Z ### Exception log 2023-07-07T20:05:31.8098425Z ``` 2023-07-07T20:05:31.8098588Z Traceback (most recent call last): 2023-07-07T20:05:31.8098599Z 2023-07-07T20:05:31.8099183Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8099398Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8099409Z 2023-07-07T20:05:31.8099861Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8100022Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8100030Z 2023-07-07T20:05:31.8100584Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8100749Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8100757Z 2023-07-07T20:05:31.8101213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8101450Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8101459Z 2023-07-07T20:05:31.8101946Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8102183Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8102191Z 2023-07-07T20:05:31.8102773Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8102904Z result = op.Conv( 2023-07-07T20:05:31.8102915Z 2023-07-07T20:05:31.8103456Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8115139Z return op( 2023-07-07T20:05:31.8115162Z 2023-07-07T20:05:31.8115736Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8115934Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8115942Z 2023-07-07T20:05:31.8116398Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8116735Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8116744Z 2023-07-07T20:05:31.8117256Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8117455Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8117482Z 2023-07-07T20:05:31.8117940Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8118245Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8118296Z 2023-07-07T20:05:31.8118744Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8118905Z node.attribute.extend( 2023-07-07T20:05:31.8118913Z 2023-07-07T20:05:31.8119357Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8119513Z make_attribute(key, value) 2023-07-07T20:05:31.8119523Z 2023-07-07T20:05:31.8119987Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8120128Z raise ValueError( 2023-07-07T20:05:31.8120136Z 2023-07-07T20:05:31.8120433Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8120441Z 2023-07-07T20:05:31.8120535Z ``` 2023-07-07T20:05:31.8120746Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8121285Z - diagnostic_context: 2023-07-07T20:05:31.8121656Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8122026Z - symbolic_fn: 2023-07-07T20:05:31.8122230Z - torch_args: 2023-07-07T20:05:31.8122439Z - torch_kwargs: 2023-07-07T20:05:31.8122647Z - Return value: 2023-07-07T20:05:31.8123182Z [2023-07-07 20:02:14,435] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_7]. 2023-07-07T20:05:31.8123444Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8123452Z 2023-07-07T20:05:31.8123796Z [2023-07-07 20:02:14,435] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8124155Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8124169Z 2023-07-07T20:05:31.8124597Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8125081Z - self: 2023-07-07T20:05:31.8125475Z - node: fx.Node(native_batch_norm_7[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8125675Z - aten_name: 2023-07-07T20:05:31.8125894Z - function_overloads: 2023-07-07T20:05:31.8126098Z - onnx_args: 2023-07-07T20:05:31.8126303Z - onnx_kwargs: 2023-07-07T20:05:31.8126838Z - diagnostic_context: 2023-07-07T20:05:31.8127210Z - Return value: 2023-07-07T20:05:31.8127799Z [2023-07-07 20:02:14,440] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_7]. 2023-07-07T20:05:31.8128059Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8128384Z [2023-07-07 20:02:14,440] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8128498Z ### Exception log 2023-07-07T20:05:31.8128605Z ``` 2023-07-07T20:05:31.8128770Z Traceback (most recent call last): 2023-07-07T20:05:31.8128779Z 2023-07-07T20:05:31.8129366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8129582Z torch.testing.assert_close( 2023-07-07T20:05:31.8129590Z 2023-07-07T20:05:31.8130157Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8130326Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8130335Z 2023-07-07T20:05:31.8130613Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8130622Z 2023-07-07T20:05:31.8130777Z Mismatched elements: 54096 / 100352 (53.9%) 2023-07-07T20:05:31.8131068Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8131307Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8131317Z 2023-07-07T20:05:31.8131424Z ``` 2023-07-07T20:05:31.8131636Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8132173Z - diagnostic_context: 2023-07-07T20:05:31.8132584Z - node: fx.Node(native_batch_norm_7[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8132957Z - symbolic_fn: 2023-07-07T20:05:31.8133147Z - torch_args: 2023-07-07T20:05:31.8133356Z - torch_kwargs: 2023-07-07T20:05:31.8133580Z - Return value: 2023-07-07T20:05:31.8134087Z [2023-07-07 20:02:14,504] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.8134342Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8134351Z 2023-07-07T20:05:31.8134689Z [2023-07-07 20:02:14,504] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8135040Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8135049Z 2023-07-07T20:05:31.8135371Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8135845Z - self: 2023-07-07T20:05:31.8136205Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8136405Z - aten_name: 2023-07-07T20:05:31.8136639Z - function_overloads: 2023-07-07T20:05:31.8136843Z - onnx_args: 2023-07-07T20:05:31.8137049Z - onnx_kwargs: 2023-07-07T20:05:31.8137584Z - diagnostic_context: 2023-07-07T20:05:31.8137956Z - Return value: 2023-07-07T20:05:31.8138443Z [2023-07-07 20:02:14,512] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.8138696Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8139047Z [2023-07-07 20:02:14,512] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8139177Z ### Exception log 2023-07-07T20:05:31.8139284Z ``` 2023-07-07T20:05:31.8139456Z Traceback (most recent call last): 2023-07-07T20:05:31.8139465Z 2023-07-07T20:05:31.8140051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8140298Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8140308Z 2023-07-07T20:05:31.8140768Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8140914Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8140922Z 2023-07-07T20:05:31.8141484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8141651Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8141704Z 2023-07-07T20:05:31.8142158Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8142430Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8142440Z 2023-07-07T20:05:31.8142918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8143154Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8143165Z 2023-07-07T20:05:31.8143783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8143916Z result = op.Conv( 2023-07-07T20:05:31.8143924Z 2023-07-07T20:05:31.8144428Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8144532Z return op( 2023-07-07T20:05:31.8144542Z 2023-07-07T20:05:31.8144999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8145223Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8145234Z 2023-07-07T20:05:31.8145693Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8145919Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8145929Z 2023-07-07T20:05:31.8146390Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8146609Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8146617Z 2023-07-07T20:05:31.8147092Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8147396Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8147405Z 2023-07-07T20:05:31.8147852Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8147998Z node.attribute.extend( 2023-07-07T20:05:31.8148007Z 2023-07-07T20:05:31.8148450Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8148604Z make_attribute(key, value) 2023-07-07T20:05:31.8148612Z 2023-07-07T20:05:31.8149080Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8149220Z raise ValueError( 2023-07-07T20:05:31.8149228Z 2023-07-07T20:05:31.8149531Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8149539Z 2023-07-07T20:05:31.8149646Z ``` 2023-07-07T20:05:31.8149854Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8150374Z - diagnostic_context: 2023-07-07T20:05:31.8150754Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8151125Z - symbolic_fn: 2023-07-07T20:05:31.8151329Z - torch_args: 2023-07-07T20:05:31.8151538Z - torch_kwargs: 2023-07-07T20:05:31.8151766Z - Return value: 2023-07-07T20:05:31.8152316Z [2023-07-07 20:02:14,519] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_8]. 2023-07-07T20:05:31.8152579Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8152587Z 2023-07-07T20:05:31.8152913Z [2023-07-07 20:02:14,519] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8153265Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8153275Z 2023-07-07T20:05:31.8153596Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8154132Z - self: 2023-07-07T20:05:31.8154536Z - node: fx.Node(native_batch_norm_8[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8154809Z - aten_name: 2023-07-07T20:05:31.8155042Z - function_overloads: 2023-07-07T20:05:31.8155242Z - onnx_args: 2023-07-07T20:05:31.8155438Z - onnx_kwargs: 2023-07-07T20:05:31.8156019Z - diagnostic_context: 2023-07-07T20:05:31.8156392Z - Return value: 2023-07-07T20:05:31.8156903Z [2023-07-07 20:02:14,524] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_8]. 2023-07-07T20:05:31.8157156Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8157479Z [2023-07-07 20:02:14,524] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8157607Z ### Exception log 2023-07-07T20:05:31.8157715Z ``` 2023-07-07T20:05:31.8157866Z Traceback (most recent call last): 2023-07-07T20:05:31.8157875Z 2023-07-07T20:05:31.8158452Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8158616Z torch.testing.assert_close( 2023-07-07T20:05:31.8158624Z 2023-07-07T20:05:31.8159127Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8159289Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8159297Z 2023-07-07T20:05:31.8159571Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8159580Z 2023-07-07T20:05:31.8159748Z Mismatched elements: 43904 / 100352 (43.8%) 2023-07-07T20:05:31.8159989Z Greatest absolute difference: nan at index (0, 4, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8160234Z Greatest relative difference: nan at index (0, 4, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8160242Z 2023-07-07T20:05:31.8160331Z ``` 2023-07-07T20:05:31.8160543Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8161079Z - diagnostic_context: 2023-07-07T20:05:31.8161475Z - node: fx.Node(native_batch_norm_8[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8161852Z - symbolic_fn: 2023-07-07T20:05:31.8162059Z - torch_args: 2023-07-07T20:05:31.8162252Z - torch_kwargs: 2023-07-07T20:05:31.8162474Z - Return value: 2023-07-07T20:05:31.8162972Z [2023-07-07 20:02:14,537] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.8163221Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8163234Z 2023-07-07T20:05:31.8163579Z [2023-07-07 20:02:14,537] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8163926Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8163934Z 2023-07-07T20:05:31.8164246Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8164904Z - self: 2023-07-07T20:05:31.8165281Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8165461Z - aten_name: 2023-07-07T20:05:31.8165690Z - function_overloads: 2023-07-07T20:05:31.8165887Z - onnx_args: 2023-07-07T20:05:31.8166096Z - onnx_kwargs: 2023-07-07T20:05:31.8166628Z - diagnostic_context: 2023-07-07T20:05:31.8167046Z - Return value: 2023-07-07T20:05:31.8167589Z [2023-07-07 20:02:14,543] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.8167822Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8168168Z [2023-07-07 20:02:14,543] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8168293Z ### Exception log 2023-07-07T20:05:31.8168398Z ``` 2023-07-07T20:05:31.8168610Z Traceback (most recent call last): 2023-07-07T20:05:31.8168619Z 2023-07-07T20:05:31.8169209Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8169415Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8169424Z 2023-07-07T20:05:31.8169884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8170031Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8170055Z 2023-07-07T20:05:31.8170600Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8170761Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8170770Z 2023-07-07T20:05:31.8171223Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8171456Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8171467Z 2023-07-07T20:05:31.8171944Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8172173Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8172182Z 2023-07-07T20:05:31.8172762Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8172894Z result = op.Conv( 2023-07-07T20:05:31.8172904Z 2023-07-07T20:05:31.8173402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8173509Z return op( 2023-07-07T20:05:31.8173530Z 2023-07-07T20:05:31.8173973Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8174193Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8174206Z 2023-07-07T20:05:31.8174652Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8174877Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8174885Z 2023-07-07T20:05:31.8175344Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8175555Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8175565Z 2023-07-07T20:05:31.8176041Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8176342Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8176350Z 2023-07-07T20:05:31.8176859Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8176998Z node.attribute.extend( 2023-07-07T20:05:31.8177023Z 2023-07-07T20:05:31.8177446Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8177594Z make_attribute(key, value) 2023-07-07T20:05:31.8177602Z 2023-07-07T20:05:31.8178058Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8178193Z raise ValueError( 2023-07-07T20:05:31.8178201Z 2023-07-07T20:05:31.8178539Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8178547Z 2023-07-07T20:05:31.8178683Z ``` 2023-07-07T20:05:31.8178898Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8179433Z - diagnostic_context: 2023-07-07T20:05:31.8179797Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8180161Z - symbolic_fn: 2023-07-07T20:05:31.8180399Z - torch_args: 2023-07-07T20:05:31.8180604Z - torch_kwargs: 2023-07-07T20:05:31.8180826Z - Return value: 2023-07-07T20:05:31.8181337Z [2023-07-07 20:02:14,548] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_9]. 2023-07-07T20:05:31.8181594Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8181605Z 2023-07-07T20:05:31.8181941Z [2023-07-07 20:02:14,548] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8182275Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8182298Z 2023-07-07T20:05:31.8182599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8183065Z - self: 2023-07-07T20:05:31.8183457Z - node: fx.Node(native_batch_norm_9[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8183651Z - aten_name: 2023-07-07T20:05:31.8183880Z - function_overloads: 2023-07-07T20:05:31.8184075Z - onnx_args: 2023-07-07T20:05:31.8184276Z - onnx_kwargs: 2023-07-07T20:05:31.8184793Z - diagnostic_context: 2023-07-07T20:05:31.8185166Z - Return value: 2023-07-07T20:05:31.8185680Z [2023-07-07 20:02:14,553] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_9]. 2023-07-07T20:05:31.8185934Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8186251Z [2023-07-07 20:02:14,553] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8186380Z ### Exception log 2023-07-07T20:05:31.8186489Z ``` 2023-07-07T20:05:31.8186653Z Traceback (most recent call last): 2023-07-07T20:05:31.8186661Z 2023-07-07T20:05:31.8187246Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8187408Z torch.testing.assert_close( 2023-07-07T20:05:31.8187416Z 2023-07-07T20:05:31.8187916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8188076Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8188086Z 2023-07-07T20:05:31.8188361Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8188369Z 2023-07-07T20:05:31.8188534Z Mismatched elements: 43904 / 100352 (43.8%) 2023-07-07T20:05:31.8188772Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8189098Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8189110Z 2023-07-07T20:05:31.8189214Z ``` 2023-07-07T20:05:31.8189408Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8189945Z - diagnostic_context: 2023-07-07T20:05:31.8190334Z - node: fx.Node(native_batch_norm_9[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8190702Z - symbolic_fn: 2023-07-07T20:05:31.8190900Z - torch_args: 2023-07-07T20:05:31.8191148Z - torch_kwargs: 2023-07-07T20:05:31.8191369Z - Return value: 2023-07-07T20:05:31.8191886Z [2023-07-07 20:02:14,600] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.8192137Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8192145Z 2023-07-07T20:05:31.8192491Z [2023-07-07 20:02:14,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8192838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8192882Z 2023-07-07T20:05:31.8193198Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8193666Z - self: 2023-07-07T20:05:31.8194037Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8194235Z - aten_name: 2023-07-07T20:05:31.8194463Z - function_overloads: 2023-07-07T20:05:31.8194712Z - onnx_args: 2023-07-07T20:05:31.8194893Z - onnx_kwargs: 2023-07-07T20:05:31.8195421Z - diagnostic_context: 2023-07-07T20:05:31.8195785Z - Return value: 2023-07-07T20:05:31.8196292Z [2023-07-07 20:02:14,610] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.8196540Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8196888Z [2023-07-07 20:02:14,610] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8197012Z ### Exception log 2023-07-07T20:05:31.8197102Z ``` 2023-07-07T20:05:31.8197262Z Traceback (most recent call last): 2023-07-07T20:05:31.8197270Z 2023-07-07T20:05:31.8197858Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8198070Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8198079Z 2023-07-07T20:05:31.8198535Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8198697Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8198709Z 2023-07-07T20:05:31.8199268Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8199434Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8199442Z 2023-07-07T20:05:31.8199894Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8200112Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8200120Z 2023-07-07T20:05:31.8200565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8200803Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8200812Z 2023-07-07T20:05:31.8201386Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8201515Z result = op.Conv( 2023-07-07T20:05:31.8201567Z 2023-07-07T20:05:31.8202067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8202186Z return op( 2023-07-07T20:05:31.8202195Z 2023-07-07T20:05:31.8202642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8202859Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8202867Z 2023-07-07T20:05:31.8203322Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8203568Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8203616Z 2023-07-07T20:05:31.8204078Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8204295Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8204303Z 2023-07-07T20:05:31.8204878Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8205235Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8205244Z 2023-07-07T20:05:31.8205684Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8205840Z node.attribute.extend( 2023-07-07T20:05:31.8205849Z 2023-07-07T20:05:31.8206290Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8206444Z make_attribute(key, value) 2023-07-07T20:05:31.8206452Z 2023-07-07T20:05:31.8206892Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8207026Z raise ValueError( 2023-07-07T20:05:31.8207034Z 2023-07-07T20:05:31.8207334Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8207342Z 2023-07-07T20:05:31.8207448Z ``` 2023-07-07T20:05:31.8207659Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8208195Z - diagnostic_context: 2023-07-07T20:05:31.8208570Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8208930Z - symbolic_fn: 2023-07-07T20:05:31.8209120Z - torch_args: 2023-07-07T20:05:31.8209331Z - torch_kwargs: 2023-07-07T20:05:31.8209552Z - Return value: 2023-07-07T20:05:31.8210081Z [2023-07-07 20:02:14,616] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_10]. 2023-07-07T20:05:31.8210341Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8210349Z 2023-07-07T20:05:31.8210694Z [2023-07-07 20:02:14,616] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8211043Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8211054Z 2023-07-07T20:05:31.8211366Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8211833Z - self: 2023-07-07T20:05:31.8212211Z - node: fx.Node(native_batch_norm_10[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8212409Z - aten_name: 2023-07-07T20:05:31.8212635Z - function_overloads: 2023-07-07T20:05:31.8212842Z - onnx_args: 2023-07-07T20:05:31.8213039Z - onnx_kwargs: 2023-07-07T20:05:31.8213568Z - diagnostic_context: 2023-07-07T20:05:31.8213933Z - Return value: 2023-07-07T20:05:31.8214505Z [2023-07-07 20:02:14,623] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_10]. 2023-07-07T20:05:31.8214751Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8215071Z [2023-07-07 20:02:14,623] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8215200Z ### Exception log 2023-07-07T20:05:31.8215304Z ``` 2023-07-07T20:05:31.8215468Z Traceback (most recent call last): 2023-07-07T20:05:31.8215476Z 2023-07-07T20:05:31.8216059Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8216317Z torch.testing.assert_close( 2023-07-07T20:05:31.8216326Z 2023-07-07T20:05:31.8216825Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8216967Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8216978Z 2023-07-07T20:05:31.8217254Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8217296Z 2023-07-07T20:05:31.8217462Z Mismatched elements: 26068 / 50176 (52.0%) 2023-07-07T20:05:31.8217697Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8217934Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8217945Z 2023-07-07T20:05:31.8218045Z ``` 2023-07-07T20:05:31.8218248Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8218795Z - diagnostic_context: 2023-07-07T20:05:31.8219186Z - node: fx.Node(native_batch_norm_10[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8219553Z - symbolic_fn: 2023-07-07T20:05:31.8219754Z - torch_args: 2023-07-07T20:05:31.8219958Z - torch_kwargs: 2023-07-07T20:05:31.8220185Z - Return value: 2023-07-07T20:05:31.8220684Z [2023-07-07 20:02:14,660] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.8220930Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8220939Z 2023-07-07T20:05:31.8221278Z [2023-07-07 20:02:14,660] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8221610Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8221634Z 2023-07-07T20:05:31.8221931Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8222397Z - self: 2023-07-07T20:05:31.8222775Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8222967Z - aten_name: 2023-07-07T20:05:31.8223199Z - function_overloads: 2023-07-07T20:05:31.8223398Z - onnx_args: 2023-07-07T20:05:31.8223600Z - onnx_kwargs: 2023-07-07T20:05:31.8224125Z - diagnostic_context: 2023-07-07T20:05:31.8224490Z - Return value: 2023-07-07T20:05:31.8224983Z [2023-07-07 20:02:14,683] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.8225228Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8225574Z [2023-07-07 20:02:14,683] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8225707Z ### Exception log 2023-07-07T20:05:31.8225813Z ``` 2023-07-07T20:05:31.8225979Z Traceback (most recent call last): 2023-07-07T20:05:31.8225988Z 2023-07-07T20:05:31.8226589Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8226799Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8226810Z 2023-07-07T20:05:31.8227266Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8227430Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8227438Z 2023-07-07T20:05:31.8228007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8228204Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8228213Z 2023-07-07T20:05:31.8228705Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8228941Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8228950Z 2023-07-07T20:05:31.8229437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8229669Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8229715Z 2023-07-07T20:05:31.8230279Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8230411Z result = op.Conv( 2023-07-07T20:05:31.8230419Z 2023-07-07T20:05:31.8230917Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8231038Z return op( 2023-07-07T20:05:31.8231046Z 2023-07-07T20:05:31.8231505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8231721Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8231729Z 2023-07-07T20:05:31.8232182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8232404Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8232415Z 2023-07-07T20:05:31.8232864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8233065Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8233089Z 2023-07-07T20:05:31.8233541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8233841Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8233853Z 2023-07-07T20:05:31.8234289Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8234449Z node.attribute.extend( 2023-07-07T20:05:31.8234457Z 2023-07-07T20:05:31.8234992Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8235148Z make_attribute(key, value) 2023-07-07T20:05:31.8235156Z 2023-07-07T20:05:31.8235617Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8235759Z raise ValueError( 2023-07-07T20:05:31.8235767Z 2023-07-07T20:05:31.8236060Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8236068Z 2023-07-07T20:05:31.8236158Z ``` 2023-07-07T20:05:31.8236365Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8236903Z - diagnostic_context: 2023-07-07T20:05:31.8237284Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8237654Z - symbolic_fn: 2023-07-07T20:05:31.8237858Z - torch_args: 2023-07-07T20:05:31.8238070Z - torch_kwargs: 2023-07-07T20:05:31.8238288Z - Return value: 2023-07-07T20:05:31.8238848Z [2023-07-07 20:02:14,693] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_11]. 2023-07-07T20:05:31.8239114Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8239123Z 2023-07-07T20:05:31.8239469Z [2023-07-07 20:02:14,694] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8239819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8239864Z 2023-07-07T20:05:31.8240180Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8240685Z - self: 2023-07-07T20:05:31.8241075Z - node: fx.Node(native_batch_norm_11[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8241272Z - aten_name: 2023-07-07T20:05:31.8241489Z - function_overloads: 2023-07-07T20:05:31.8241683Z - onnx_args: 2023-07-07T20:05:31.8241919Z - onnx_kwargs: 2023-07-07T20:05:31.8242454Z - diagnostic_context: 2023-07-07T20:05:31.8242822Z - Return value: 2023-07-07T20:05:31.8243339Z [2023-07-07 20:02:14,699] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_11]. 2023-07-07T20:05:31.8243589Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8243918Z [2023-07-07 20:02:14,699] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8244036Z ### Exception log 2023-07-07T20:05:31.8244142Z ``` 2023-07-07T20:05:31.8244304Z Traceback (most recent call last): 2023-07-07T20:05:31.8244313Z 2023-07-07T20:05:31.8245008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8245175Z torch.testing.assert_close( 2023-07-07T20:05:31.8245186Z 2023-07-07T20:05:31.8245689Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8245849Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8245858Z 2023-07-07T20:05:31.8246125Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8246134Z 2023-07-07T20:05:31.8246299Z Mismatched elements: 25284 / 50176 (50.4%) 2023-07-07T20:05:31.8246526Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8246769Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8246778Z 2023-07-07T20:05:31.8246879Z ``` 2023-07-07T20:05:31.8247094Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8247637Z - diagnostic_context: 2023-07-07T20:05:31.8248035Z - node: fx.Node(native_batch_norm_11[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8248402Z - symbolic_fn: 2023-07-07T20:05:31.8248603Z - torch_args: 2023-07-07T20:05:31.8248797Z - torch_kwargs: 2023-07-07T20:05:31.8249019Z - Return value: 2023-07-07T20:05:31.8249518Z [2023-07-07 20:02:14,702] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.8249769Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8249779Z 2023-07-07T20:05:31.8250119Z [2023-07-07 20:02:14,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8250469Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8250478Z 2023-07-07T20:05:31.8250854Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8251326Z - self: 2023-07-07T20:05:31.8251687Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8251877Z - aten_name: 2023-07-07T20:05:31.8252108Z - function_overloads: 2023-07-07T20:05:31.8252310Z - onnx_args: 2023-07-07T20:05:31.8252509Z - onnx_kwargs: 2023-07-07T20:05:31.8253037Z - diagnostic_context: 2023-07-07T20:05:31.8253504Z - Return value: 2023-07-07T20:05:31.8254010Z [2023-07-07 20:02:14,710] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.8254240Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8254586Z [2023-07-07 20:02:14,710] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8254754Z ### Exception log 2023-07-07T20:05:31.8254863Z ``` 2023-07-07T20:05:31.8255021Z Traceback (most recent call last): 2023-07-07T20:05:31.8255032Z 2023-07-07T20:05:31.8255611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8255819Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8255827Z 2023-07-07T20:05:31.8256279Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8256429Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8256440Z 2023-07-07T20:05:31.8257002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8257164Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8257175Z 2023-07-07T20:05:31.8257630Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8257868Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8257877Z 2023-07-07T20:05:31.8258358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8258590Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8258598Z 2023-07-07T20:05:31.8259174Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8259308Z result = op.Conv( 2023-07-07T20:05:31.8259317Z 2023-07-07T20:05:31.8259817Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8259920Z return op( 2023-07-07T20:05:31.8259928Z 2023-07-07T20:05:31.8260387Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8260605Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8260612Z 2023-07-07T20:05:31.8261075Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8261297Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8261305Z 2023-07-07T20:05:31.8261763Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8261972Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8261979Z 2023-07-07T20:05:31.8262450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8262746Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8262754Z 2023-07-07T20:05:31.8263264Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8263411Z node.attribute.extend( 2023-07-07T20:05:31.8263419Z 2023-07-07T20:05:31.8263860Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8264009Z make_attribute(key, value) 2023-07-07T20:05:31.8264017Z 2023-07-07T20:05:31.8264484Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8264658Z raise ValueError( 2023-07-07T20:05:31.8264666Z 2023-07-07T20:05:31.8264996Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8265005Z 2023-07-07T20:05:31.8265109Z ``` 2023-07-07T20:05:31.8265317Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8265844Z - diagnostic_context: 2023-07-07T20:05:31.8266201Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8266603Z - symbolic_fn: 2023-07-07T20:05:31.8266807Z - torch_args: 2023-07-07T20:05:31.8267015Z - torch_kwargs: 2023-07-07T20:05:31.8267238Z - Return value: 2023-07-07T20:05:31.8267752Z [2023-07-07 20:02:14,717] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_12]. 2023-07-07T20:05:31.8268008Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8268019Z 2023-07-07T20:05:31.8268361Z [2023-07-07 20:02:14,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8268690Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8268698Z 2023-07-07T20:05:31.8269016Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8269483Z - self: 2023-07-07T20:05:31.8269886Z - node: fx.Node(native_batch_norm_12[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8270082Z - aten_name: 2023-07-07T20:05:31.8270310Z - function_overloads: 2023-07-07T20:05:31.8270505Z - onnx_args: 2023-07-07T20:05:31.8270711Z - onnx_kwargs: 2023-07-07T20:05:31.8271233Z - diagnostic_context: 2023-07-07T20:05:31.8271603Z - Return value: 2023-07-07T20:05:31.8272124Z [2023-07-07 20:02:14,722] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_12]. 2023-07-07T20:05:31.8272387Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8272713Z [2023-07-07 20:02:14,722] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8272840Z ### Exception log 2023-07-07T20:05:31.8272942Z ``` 2023-07-07T20:05:31.8273093Z Traceback (most recent call last): 2023-07-07T20:05:31.8273120Z 2023-07-07T20:05:31.8273693Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8273854Z torch.testing.assert_close( 2023-07-07T20:05:31.8273863Z 2023-07-07T20:05:31.8274361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8274520Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8274532Z 2023-07-07T20:05:31.8274886Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8274895Z 2023-07-07T20:05:31.8275060Z Mismatched elements: 21952 / 50176 (43.8%) 2023-07-07T20:05:31.8275300Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8275597Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8275609Z 2023-07-07T20:05:31.8275697Z ``` 2023-07-07T20:05:31.8275904Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8276442Z - diagnostic_context: 2023-07-07T20:05:31.8276833Z - node: fx.Node(native_batch_norm_12[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8277196Z - symbolic_fn: 2023-07-07T20:05:31.8277436Z - torch_args: 2023-07-07T20:05:31.8277646Z - torch_kwargs: 2023-07-07T20:05:31.8277901Z - Return value: 2023-07-07T20:05:31.8278385Z [2023-07-07 20:02:14,743] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.8278632Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8278646Z 2023-07-07T20:05:31.8278981Z [2023-07-07 20:02:14,743] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8279413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8279422Z 2023-07-07T20:05:31.8279736Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8280205Z - self: 2023-07-07T20:05:31.8280575Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8280770Z - aten_name: 2023-07-07T20:05:31.8281006Z - function_overloads: 2023-07-07T20:05:31.8281190Z - onnx_args: 2023-07-07T20:05:31.8281395Z - onnx_kwargs: 2023-07-07T20:05:31.8281922Z - diagnostic_context: 2023-07-07T20:05:31.8282293Z - Return value: 2023-07-07T20:05:31.8282787Z [2023-07-07 20:02:14,756] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.8283030Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8283374Z [2023-07-07 20:02:14,756] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8283485Z ### Exception log 2023-07-07T20:05:31.8283589Z ``` 2023-07-07T20:05:31.8283752Z Traceback (most recent call last): 2023-07-07T20:05:31.8283764Z 2023-07-07T20:05:31.8284350Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8284650Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8284662Z 2023-07-07T20:05:31.8285119Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8285282Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8285293Z 2023-07-07T20:05:31.8285854Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8286017Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8286026Z 2023-07-07T20:05:31.8286462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8286695Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8286706Z 2023-07-07T20:05:31.8287195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8287421Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8287431Z 2023-07-07T20:05:31.8288082Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8288213Z result = op.Conv( 2023-07-07T20:05:31.8288225Z 2023-07-07T20:05:31.8288723Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8288841Z return op( 2023-07-07T20:05:31.8288849Z 2023-07-07T20:05:31.8289300Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8289517Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8289574Z 2023-07-07T20:05:31.8290016Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8290278Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8290287Z 2023-07-07T20:05:31.8290749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8290967Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8290975Z 2023-07-07T20:05:31.8291483Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8291780Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8291789Z 2023-07-07T20:05:31.8292232Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8292389Z node.attribute.extend( 2023-07-07T20:05:31.8292397Z 2023-07-07T20:05:31.8292836Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8292989Z make_attribute(key, value) 2023-07-07T20:05:31.8292997Z 2023-07-07T20:05:31.8293440Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8293572Z raise ValueError( 2023-07-07T20:05:31.8293580Z 2023-07-07T20:05:31.8293877Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8293888Z 2023-07-07T20:05:31.8293993Z ``` 2023-07-07T20:05:31.8294199Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8294727Z - diagnostic_context: 2023-07-07T20:05:31.8295101Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8295465Z - symbolic_fn: 2023-07-07T20:05:31.8295657Z - torch_args: 2023-07-07T20:05:31.8295862Z - torch_kwargs: 2023-07-07T20:05:31.8296085Z - Return value: 2023-07-07T20:05:31.8296610Z [2023-07-07 20:02:14,761] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_13]. 2023-07-07T20:05:31.8296863Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8296872Z 2023-07-07T20:05:31.8297214Z [2023-07-07 20:02:14,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8297568Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8297576Z 2023-07-07T20:05:31.8297895Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8298357Z - self: 2023-07-07T20:05:31.8298734Z - node: fx.Node(native_batch_norm_13[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8298935Z - aten_name: 2023-07-07T20:05:31.8299170Z - function_overloads: 2023-07-07T20:05:31.8299367Z - onnx_args: 2023-07-07T20:05:31.8299567Z - onnx_kwargs: 2023-07-07T20:05:31.8300101Z - diagnostic_context: 2023-07-07T20:05:31.8300520Z - Return value: 2023-07-07T20:05:31.8301026Z [2023-07-07 20:02:14,767] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_13]. 2023-07-07T20:05:31.8301279Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8301598Z [2023-07-07 20:02:14,767] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8301723Z ### Exception log 2023-07-07T20:05:31.8301826Z ``` 2023-07-07T20:05:31.8301988Z Traceback (most recent call last): 2023-07-07T20:05:31.8302035Z 2023-07-07T20:05:31.8302659Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8302825Z torch.testing.assert_close( 2023-07-07T20:05:31.8302834Z 2023-07-07T20:05:31.8303312Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8303479Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8303525Z 2023-07-07T20:05:31.8303798Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8303806Z 2023-07-07T20:05:31.8303964Z Mismatched elements: 23324 / 50176 (46.5%) 2023-07-07T20:05:31.8304202Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8304439Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8304447Z 2023-07-07T20:05:31.8304551Z ``` 2023-07-07T20:05:31.8304762Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8305300Z - diagnostic_context: 2023-07-07T20:05:31.8305676Z - node: fx.Node(native_batch_norm_13[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8306037Z - symbolic_fn: 2023-07-07T20:05:31.8306243Z - torch_args: 2023-07-07T20:05:31.8306451Z - torch_kwargs: 2023-07-07T20:05:31.8306677Z - Return value: 2023-07-07T20:05:31.8307174Z [2023-07-07 20:02:14,789] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.8307418Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8307426Z 2023-07-07T20:05:31.8307768Z [2023-07-07 20:02:14,789] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8308098Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8308110Z 2023-07-07T20:05:31.8308429Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8308891Z - self: 2023-07-07T20:05:31.8309266Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8309458Z - aten_name: 2023-07-07T20:05:31.8309687Z - function_overloads: 2023-07-07T20:05:31.8309892Z - onnx_args: 2023-07-07T20:05:31.8310093Z - onnx_kwargs: 2023-07-07T20:05:31.8310616Z - diagnostic_context: 2023-07-07T20:05:31.8310977Z - Return value: 2023-07-07T20:05:31.8311477Z [2023-07-07 20:02:14,802] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.8311721Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8312071Z [2023-07-07 20:02:14,802] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8312194Z ### Exception log 2023-07-07T20:05:31.8312302Z ``` 2023-07-07T20:05:31.8312451Z Traceback (most recent call last): 2023-07-07T20:05:31.8312479Z 2023-07-07T20:05:31.8313100Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8313307Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8313316Z 2023-07-07T20:05:31.8313772Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8313938Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8313946Z 2023-07-07T20:05:31.8314514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8314790Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8314799Z 2023-07-07T20:05:31.8315293Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8315525Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8315535Z 2023-07-07T20:05:31.8316019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8316271Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8316294Z 2023-07-07T20:05:31.8316862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8316989Z result = op.Conv( 2023-07-07T20:05:31.8317000Z 2023-07-07T20:05:31.8317492Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8317615Z return op( 2023-07-07T20:05:31.8317623Z 2023-07-07T20:05:31.8318076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8318293Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8318302Z 2023-07-07T20:05:31.8318757Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8318983Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8318992Z 2023-07-07T20:05:31.8319450Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8319647Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8319656Z 2023-07-07T20:05:31.8320123Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8320421Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8320430Z 2023-07-07T20:05:31.8320870Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8321021Z node.attribute.extend( 2023-07-07T20:05:31.8321029Z 2023-07-07T20:05:31.8321477Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8321627Z make_attribute(key, value) 2023-07-07T20:05:31.8321640Z 2023-07-07T20:05:31.8322091Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8322226Z raise ValueError( 2023-07-07T20:05:31.8322234Z 2023-07-07T20:05:31.8322532Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8322540Z 2023-07-07T20:05:31.8322635Z ``` 2023-07-07T20:05:31.8322844Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8323381Z - diagnostic_context: 2023-07-07T20:05:31.8323765Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8324126Z - symbolic_fn: 2023-07-07T20:05:31.8324329Z - torch_args: 2023-07-07T20:05:31.8324721Z - torch_kwargs: 2023-07-07T20:05:31.8324939Z - Return value: 2023-07-07T20:05:31.8325470Z [2023-07-07 20:02:14,809] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_14]. 2023-07-07T20:05:31.8325726Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8325734Z 2023-07-07T20:05:31.8326077Z [2023-07-07 20:02:14,809] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8326427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8326488Z 2023-07-07T20:05:31.8326845Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8327313Z - self: 2023-07-07T20:05:31.8327706Z - node: fx.Node(native_batch_norm_14[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8327903Z - aten_name: 2023-07-07T20:05:31.8328116Z - function_overloads: 2023-07-07T20:05:31.8328360Z - onnx_args: 2023-07-07T20:05:31.8328567Z - onnx_kwargs: 2023-07-07T20:05:31.8329093Z - diagnostic_context: 2023-07-07T20:05:31.8329462Z - Return value: 2023-07-07T20:05:31.8329984Z [2023-07-07 20:02:14,815] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_14]. 2023-07-07T20:05:31.8330241Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8330561Z [2023-07-07 20:02:14,815] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8330674Z ### Exception log 2023-07-07T20:05:31.8330781Z ``` 2023-07-07T20:05:31.8330940Z Traceback (most recent call last): 2023-07-07T20:05:31.8330952Z 2023-07-07T20:05:31.8331536Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8331703Z torch.testing.assert_close( 2023-07-07T20:05:31.8331711Z 2023-07-07T20:05:31.8332202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8332362Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8332370Z 2023-07-07T20:05:31.8332645Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8332654Z 2023-07-07T20:05:31.8332808Z Mismatched elements: 24892 / 50176 (49.6%) 2023-07-07T20:05:31.8333047Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8333284Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8333294Z 2023-07-07T20:05:31.8333403Z ``` 2023-07-07T20:05:31.8333609Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8334150Z - diagnostic_context: 2023-07-07T20:05:31.8334547Z - node: fx.Node(native_batch_norm_14[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8334905Z - symbolic_fn: 2023-07-07T20:05:31.8335092Z - torch_args: 2023-07-07T20:05:31.8335298Z - torch_kwargs: 2023-07-07T20:05:31.8335514Z - Return value: 2023-07-07T20:05:31.8336021Z [2023-07-07 20:02:14,837] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.8336272Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8336283Z 2023-07-07T20:05:31.8336625Z [2023-07-07 20:02:14,837] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8336973Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8337021Z 2023-07-07T20:05:31.8337332Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8337806Z - self: 2023-07-07T20:05:31.8338163Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8338357Z - aten_name: 2023-07-07T20:05:31.8338589Z - function_overloads: 2023-07-07T20:05:31.8338789Z - onnx_args: 2023-07-07T20:05:31.8338990Z - onnx_kwargs: 2023-07-07T20:05:31.8339561Z - diagnostic_context: 2023-07-07T20:05:31.8339964Z - Return value: 2023-07-07T20:05:31.8340452Z [2023-07-07 20:02:14,855] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.8340697Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8341044Z [2023-07-07 20:02:14,855] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8341210Z ### Exception log 2023-07-07T20:05:31.8341314Z ``` 2023-07-07T20:05:31.8341476Z Traceback (most recent call last): 2023-07-07T20:05:31.8341485Z 2023-07-07T20:05:31.8342067Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8342272Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8342282Z 2023-07-07T20:05:31.8342738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8342884Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8342893Z 2023-07-07T20:05:31.8343456Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8343617Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8343626Z 2023-07-07T20:05:31.8344079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8344310Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8344319Z 2023-07-07T20:05:31.8344798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8345030Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8345043Z 2023-07-07T20:05:31.8345626Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8345755Z result = op.Conv( 2023-07-07T20:05:31.8345763Z 2023-07-07T20:05:31.8346259Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8346366Z return op( 2023-07-07T20:05:31.8346374Z 2023-07-07T20:05:31.8346823Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8347041Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8347049Z 2023-07-07T20:05:31.8347498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8347722Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8347730Z 2023-07-07T20:05:31.8348187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8348403Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8348411Z 2023-07-07T20:05:31.8348877Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8349232Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8349241Z 2023-07-07T20:05:31.8349673Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8349828Z node.attribute.extend( 2023-07-07T20:05:31.8349836Z 2023-07-07T20:05:31.8350276Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8350428Z make_attribute(key, value) 2023-07-07T20:05:31.8350437Z 2023-07-07T20:05:31.8350897Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8351064Z raise ValueError( 2023-07-07T20:05:31.8351072Z 2023-07-07T20:05:31.8351406Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8351415Z 2023-07-07T20:05:31.8351525Z ``` 2023-07-07T20:05:31.8351730Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8352249Z - diagnostic_context: 2023-07-07T20:05:31.8352665Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8353029Z - symbolic_fn: 2023-07-07T20:05:31.8353230Z - torch_args: 2023-07-07T20:05:31.8353440Z - torch_kwargs: 2023-07-07T20:05:31.8353659Z - Return value: 2023-07-07T20:05:31.8354180Z [2023-07-07 20:02:15,109] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_15]. 2023-07-07T20:05:31.8354438Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8354449Z 2023-07-07T20:05:31.8354844Z [2023-07-07 20:02:15,109] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8355194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8355203Z 2023-07-07T20:05:31.8355522Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8355994Z - self: 2023-07-07T20:05:31.8356379Z - node: fx.Node(native_batch_norm_15[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8356573Z - aten_name: 2023-07-07T20:05:31.8356805Z - function_overloads: 2023-07-07T20:05:31.8357004Z - onnx_args: 2023-07-07T20:05:31.8357199Z - onnx_kwargs: 2023-07-07T20:05:31.8357726Z - diagnostic_context: 2023-07-07T20:05:31.8358093Z - Return value: 2023-07-07T20:05:31.8358608Z [2023-07-07 20:02:15,116] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_15]. 2023-07-07T20:05:31.8358869Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8359192Z [2023-07-07 20:02:15,116] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8359320Z ### Exception log 2023-07-07T20:05:31.8359430Z ``` 2023-07-07T20:05:31.8359576Z Traceback (most recent call last): 2023-07-07T20:05:31.8359584Z 2023-07-07T20:05:31.8360166Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8360329Z torch.testing.assert_close( 2023-07-07T20:05:31.8360340Z 2023-07-07T20:05:31.8360840Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8361003Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8361011Z 2023-07-07T20:05:31.8361279Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8361287Z 2023-07-07T20:05:31.8361452Z Mismatched elements: 12789 / 25088 (51.0%) 2023-07-07T20:05:31.8361735Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8361974Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8361986Z 2023-07-07T20:05:31.8362076Z ``` 2023-07-07T20:05:31.8362285Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8362771Z - diagnostic_context: 2023-07-07T20:05:31.8363123Z - node: fx.Node(native_batch_norm_15[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8363479Z - symbolic_fn: 2023-07-07T20:05:31.8363692Z - torch_args: 2023-07-07T20:05:31.8363878Z - torch_kwargs: 2023-07-07T20:05:31.8364061Z - Return value: 2023-07-07T20:05:31.8364590Z [2023-07-07 20:02:15,129] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.8364813Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8364894Z 2023-07-07T20:05:31.8365202Z [2023-07-07 20:02:15,129] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8365509Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8365517Z 2023-07-07T20:05:31.8365789Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8366199Z - self: 2023-07-07T20:05:31.8366532Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8366706Z - aten_name: 2023-07-07T20:05:31.8366896Z - function_overloads: 2023-07-07T20:05:31.8367069Z - onnx_args: 2023-07-07T20:05:31.8367248Z - onnx_kwargs: 2023-07-07T20:05:31.8367712Z - diagnostic_context: 2023-07-07T20:05:31.8368039Z - Return value: 2023-07-07T20:05:31.8368470Z [2023-07-07 20:02:15,157] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.8368683Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8368993Z [2023-07-07 20:02:15,157] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8369090Z ### Exception log 2023-07-07T20:05:31.8369183Z ``` 2023-07-07T20:05:31.8369323Z Traceback (most recent call last): 2023-07-07T20:05:31.8369331Z 2023-07-07T20:05:31.8369842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8370025Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8370033Z 2023-07-07T20:05:31.8370434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8370579Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8370587Z 2023-07-07T20:05:31.8371076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8371219Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8371228Z 2023-07-07T20:05:31.8371609Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8371817Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8371824Z 2023-07-07T20:05:31.8372245Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8372447Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8372455Z 2023-07-07T20:05:31.8373014Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8373134Z result = op.Conv( 2023-07-07T20:05:31.8373142Z 2023-07-07T20:05:31.8373573Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8373675Z return op( 2023-07-07T20:05:31.8373683Z 2023-07-07T20:05:31.8374076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8374301Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8374323Z 2023-07-07T20:05:31.8374784Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8374982Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8374990Z 2023-07-07T20:05:31.8375394Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8375584Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8375624Z 2023-07-07T20:05:31.8376034Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8376297Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8376305Z 2023-07-07T20:05:31.8376686Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8376826Z node.attribute.extend( 2023-07-07T20:05:31.8376834Z 2023-07-07T20:05:31.8377223Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8377340Z make_attribute(key, value) 2023-07-07T20:05:31.8377362Z 2023-07-07T20:05:31.8377745Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8377867Z raise ValueError( 2023-07-07T20:05:31.8377875Z 2023-07-07T20:05:31.8378140Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8378147Z 2023-07-07T20:05:31.8378236Z ``` 2023-07-07T20:05:31.8378416Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8378878Z - diagnostic_context: 2023-07-07T20:05:31.8379203Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8379525Z - symbolic_fn: 2023-07-07T20:05:31.8379690Z - torch_args: 2023-07-07T20:05:31.8379875Z - torch_kwargs: 2023-07-07T20:05:31.8380072Z - Return value: 2023-07-07T20:05:31.8380528Z [2023-07-07 20:02:15,164] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_16]. 2023-07-07T20:05:31.8380758Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8380768Z 2023-07-07T20:05:31.8381068Z [2023-07-07 20:02:15,164] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8381373Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8381382Z 2023-07-07T20:05:31.8381661Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8382056Z - self: 2023-07-07T20:05:31.8382402Z - node: fx.Node(native_batch_norm_16[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8382572Z - aten_name: 2023-07-07T20:05:31.8382773Z - function_overloads: 2023-07-07T20:05:31.8382945Z - onnx_args: 2023-07-07T20:05:31.8383120Z - onnx_kwargs: 2023-07-07T20:05:31.8383611Z - diagnostic_context: 2023-07-07T20:05:31.8383936Z - Return value: 2023-07-07T20:05:31.8384372Z [2023-07-07 20:02:15,169] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_16]. 2023-07-07T20:05:31.8384594Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8384875Z [2023-07-07 20:02:15,169] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8384990Z ### Exception log 2023-07-07T20:05:31.8385118Z ``` 2023-07-07T20:05:31.8385260Z Traceback (most recent call last): 2023-07-07T20:05:31.8385268Z 2023-07-07T20:05:31.8385821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8385963Z torch.testing.assert_close( 2023-07-07T20:05:31.8385971Z 2023-07-07T20:05:31.8386394Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8386623Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8386631Z 2023-07-07T20:05:31.8386866Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8386874Z 2023-07-07T20:05:31.8387017Z Mismatched elements: 11319 / 25088 (45.1%) 2023-07-07T20:05:31.8387223Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8387431Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8387441Z 2023-07-07T20:05:31.8387531Z ``` 2023-07-07T20:05:31.8387711Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8388159Z - diagnostic_context: 2023-07-07T20:05:31.8388501Z - node: fx.Node(native_batch_norm_16[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8388822Z - symbolic_fn: 2023-07-07T20:05:31.8389000Z - torch_args: 2023-07-07T20:05:31.8389182Z - torch_kwargs: 2023-07-07T20:05:31.8389375Z - Return value: 2023-07-07T20:05:31.8389811Z [2023-07-07 20:02:15,172] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.8390025Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8390032Z 2023-07-07T20:05:31.8390315Z [2023-07-07 20:02:15,172] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8390620Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8390631Z 2023-07-07T20:05:31.8390904Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8391309Z - self: 2023-07-07T20:05:31.8391641Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8391814Z - aten_name: 2023-07-07T20:05:31.8392015Z - function_overloads: 2023-07-07T20:05:31.8392190Z - onnx_args: 2023-07-07T20:05:31.8392354Z - onnx_kwargs: 2023-07-07T20:05:31.8392820Z - diagnostic_context: 2023-07-07T20:05:31.8393134Z - Return value: 2023-07-07T20:05:31.8393575Z [2023-07-07 20:02:15,178] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.8393790Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8394081Z [2023-07-07 20:02:15,178] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8394188Z ### Exception log 2023-07-07T20:05:31.8394283Z ``` 2023-07-07T20:05:31.8394427Z Traceback (most recent call last): 2023-07-07T20:05:31.8394492Z 2023-07-07T20:05:31.8395148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8395361Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8395370Z 2023-07-07T20:05:31.8395826Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8395983Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8395992Z 2023-07-07T20:05:31.8396596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8396792Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8396804Z 2023-07-07T20:05:31.8397249Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8397487Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8397496Z 2023-07-07T20:05:31.8397968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8398235Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8398243Z 2023-07-07T20:05:31.8398822Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8398951Z result = op.Conv( 2023-07-07T20:05:31.8398960Z 2023-07-07T20:05:31.8399462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8399584Z return op( 2023-07-07T20:05:31.8399592Z 2023-07-07T20:05:31.8400038Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8400253Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8400261Z 2023-07-07T20:05:31.8400714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8400937Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8400947Z 2023-07-07T20:05:31.8401410Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8401605Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8401614Z 2023-07-07T20:05:31.8402086Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8402391Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8402400Z 2023-07-07T20:05:31.8402842Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8402994Z node.attribute.extend( 2023-07-07T20:05:31.8403002Z 2023-07-07T20:05:31.8403446Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8403596Z make_attribute(key, value) 2023-07-07T20:05:31.8403605Z 2023-07-07T20:05:31.8404062Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8404192Z raise ValueError( 2023-07-07T20:05:31.8404200Z 2023-07-07T20:05:31.8404570Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8404598Z 2023-07-07T20:05:31.8404690Z ``` 2023-07-07T20:05:31.8404904Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8405443Z - diagnostic_context: 2023-07-07T20:05:31.8405816Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8406178Z - symbolic_fn: 2023-07-07T20:05:31.8406447Z - torch_args: 2023-07-07T20:05:31.8406659Z - torch_kwargs: 2023-07-07T20:05:31.8406871Z - Return value: 2023-07-07T20:05:31.8407398Z [2023-07-07 20:02:15,183] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_17]. 2023-07-07T20:05:31.8407657Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8407666Z 2023-07-07T20:05:31.8408007Z [2023-07-07 20:02:15,183] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8408430Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8408481Z 2023-07-07T20:05:31.8408800Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8409272Z - self: 2023-07-07T20:05:31.8409669Z - node: fx.Node(native_batch_norm_17[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8409916Z - aten_name: 2023-07-07T20:05:31.8410133Z - function_overloads: 2023-07-07T20:05:31.8410329Z - onnx_args: 2023-07-07T20:05:31.8410531Z - onnx_kwargs: 2023-07-07T20:05:31.8411061Z - diagnostic_context: 2023-07-07T20:05:31.8411432Z - Return value: 2023-07-07T20:05:31.8411952Z [2023-07-07 20:02:15,187] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_17]. 2023-07-07T20:05:31.8412213Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8412519Z [2023-07-07 20:02:15,188] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8412648Z ### Exception log 2023-07-07T20:05:31.8412754Z ``` 2023-07-07T20:05:31.8412917Z Traceback (most recent call last): 2023-07-07T20:05:31.8412929Z 2023-07-07T20:05:31.8413516Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8413681Z torch.testing.assert_close( 2023-07-07T20:05:31.8413689Z 2023-07-07T20:05:31.8414191Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8414348Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8414357Z 2023-07-07T20:05:31.8414631Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8414640Z 2023-07-07T20:05:31.8414788Z Mismatched elements: 13426 / 25088 (53.5%) 2023-07-07T20:05:31.8415026Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8415264Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8415272Z 2023-07-07T20:05:31.8415377Z ``` 2023-07-07T20:05:31.8415584Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8416122Z - diagnostic_context: 2023-07-07T20:05:31.8416513Z - node: fx.Node(native_batch_norm_17[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8416876Z - symbolic_fn: 2023-07-07T20:05:31.8417063Z - torch_args: 2023-07-07T20:05:31.8417268Z - torch_kwargs: 2023-07-07T20:05:31.8417484Z - Return value: 2023-07-07T20:05:31.8417985Z [2023-07-07 20:02:15,201] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.8418235Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8418243Z 2023-07-07T20:05:31.8418580Z [2023-07-07 20:02:15,201] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8418957Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8418969Z 2023-07-07T20:05:31.8419280Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8419733Z - self: 2023-07-07T20:05:31.8420104Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8420301Z - aten_name: 2023-07-07T20:05:31.8420531Z - function_overloads: 2023-07-07T20:05:31.8420765Z - onnx_args: 2023-07-07T20:05:31.8420966Z - onnx_kwargs: 2023-07-07T20:05:31.8421530Z - diagnostic_context: 2023-07-07T20:05:31.8421900Z - Return value: 2023-07-07T20:05:31.8422392Z [2023-07-07 20:02:15,222] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.8422636Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8423018Z [2023-07-07 20:02:15,222] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8423143Z ### Exception log 2023-07-07T20:05:31.8423248Z ``` 2023-07-07T20:05:31.8423409Z Traceback (most recent call last): 2023-07-07T20:05:31.8423418Z 2023-07-07T20:05:31.8423999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8424206Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8424215Z 2023-07-07T20:05:31.8424658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8424822Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8424830Z 2023-07-07T20:05:31.8425393Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8425554Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8425563Z 2023-07-07T20:05:31.8426010Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8426245Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8426253Z 2023-07-07T20:05:31.8426743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8426974Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8426984Z 2023-07-07T20:05:31.8427563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8427697Z result = op.Conv( 2023-07-07T20:05:31.8427705Z 2023-07-07T20:05:31.8428192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8428315Z return op( 2023-07-07T20:05:31.8428323Z 2023-07-07T20:05:31.8428778Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8428995Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8429004Z 2023-07-07T20:05:31.8429456Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8429673Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8429686Z 2023-07-07T20:05:31.8430147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8430355Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8430364Z 2023-07-07T20:05:31.8430829Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8431185Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8431198Z 2023-07-07T20:05:31.8431625Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8431778Z node.attribute.extend( 2023-07-07T20:05:31.8431787Z 2023-07-07T20:05:31.8432224Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8432371Z make_attribute(key, value) 2023-07-07T20:05:31.8432417Z 2023-07-07T20:05:31.8432878Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8433049Z raise ValueError( 2023-07-07T20:05:31.8433061Z 2023-07-07T20:05:31.8433362Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8433370Z 2023-07-07T20:05:31.8433478Z ``` 2023-07-07T20:05:31.8433691Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8434211Z - diagnostic_context: 2023-07-07T20:05:31.8434680Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8435051Z - symbolic_fn: 2023-07-07T20:05:31.8435255Z - torch_args: 2023-07-07T20:05:31.8435464Z - torch_kwargs: 2023-07-07T20:05:31.8435682Z - Return value: 2023-07-07T20:05:31.8436203Z [2023-07-07 20:02:15,227] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_18]. 2023-07-07T20:05:31.8436447Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8436470Z 2023-07-07T20:05:31.8436801Z [2023-07-07 20:02:15,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8437152Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8437166Z 2023-07-07T20:05:31.8437480Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8437955Z - self: 2023-07-07T20:05:31.8438348Z - node: fx.Node(native_batch_norm_18[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8438543Z - aten_name: 2023-07-07T20:05:31.8438774Z - function_overloads: 2023-07-07T20:05:31.8438978Z - onnx_args: 2023-07-07T20:05:31.8439168Z - onnx_kwargs: 2023-07-07T20:05:31.8439698Z - diagnostic_context: 2023-07-07T20:05:31.8440060Z - Return value: 2023-07-07T20:05:31.8440626Z [2023-07-07 20:02:15,231] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_18]. 2023-07-07T20:05:31.8440880Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8441202Z [2023-07-07 20:02:15,231] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8441328Z ### Exception log 2023-07-07T20:05:31.8441430Z ``` 2023-07-07T20:05:31.8441580Z Traceback (most recent call last): 2023-07-07T20:05:31.8441589Z 2023-07-07T20:05:31.8442170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8442337Z torch.testing.assert_close( 2023-07-07T20:05:31.8442345Z 2023-07-07T20:05:31.8442848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8443007Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8443016Z 2023-07-07T20:05:31.8443286Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8443294Z 2023-07-07T20:05:31.8443501Z Mismatched elements: 12495 / 25088 (49.8%) 2023-07-07T20:05:31.8443741Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8443967Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8443988Z 2023-07-07T20:05:31.8444081Z ``` 2023-07-07T20:05:31.8444290Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8445053Z - diagnostic_context: 2023-07-07T20:05:31.8445529Z - node: fx.Node(native_batch_norm_18[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8445938Z - symbolic_fn: 2023-07-07T20:05:31.8446142Z - torch_args: 2023-07-07T20:05:31.8446353Z - torch_kwargs: 2023-07-07T20:05:31.8446565Z - Return value: 2023-07-07T20:05:31.8447063Z [2023-07-07 20:02:15,243] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.8447360Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8447368Z 2023-07-07T20:05:31.8447709Z [2023-07-07 20:02:15,243] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8448054Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8448063Z 2023-07-07T20:05:31.8448378Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8448852Z - self: 2023-07-07T20:05:31.8449232Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8449422Z - aten_name: 2023-07-07T20:05:31.8449637Z - function_overloads: 2023-07-07T20:05:31.8449839Z - onnx_args: 2023-07-07T20:05:31.8450047Z - onnx_kwargs: 2023-07-07T20:05:31.8450575Z - diagnostic_context: 2023-07-07T20:05:31.8450946Z - Return value: 2023-07-07T20:05:31.8451443Z [2023-07-07 20:02:15,269] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.8451686Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8452012Z [2023-07-07 20:02:15,269] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8452138Z ### Exception log 2023-07-07T20:05:31.8452246Z ``` 2023-07-07T20:05:31.8452413Z Traceback (most recent call last): 2023-07-07T20:05:31.8452422Z 2023-07-07T20:05:31.8453000Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8453205Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8453217Z 2023-07-07T20:05:31.8453675Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8453837Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8453845Z 2023-07-07T20:05:31.8454399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8454547Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8454556Z 2023-07-07T20:05:31.8455008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8455247Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8455255Z 2023-07-07T20:05:31.8455738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8455964Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8456032Z 2023-07-07T20:05:31.8456615Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8456748Z result = op.Conv( 2023-07-07T20:05:31.8456758Z 2023-07-07T20:05:31.8457250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8457367Z return op( 2023-07-07T20:05:31.8457375Z 2023-07-07T20:05:31.8457827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8458067Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8458107Z 2023-07-07T20:05:31.8458561Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8458783Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8458792Z 2023-07-07T20:05:31.8459246Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8459491Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8459499Z 2023-07-07T20:05:31.8459968Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8460264Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8460273Z 2023-07-07T20:05:31.8460717Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8460874Z node.attribute.extend( 2023-07-07T20:05:31.8460885Z 2023-07-07T20:05:31.8461333Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8461469Z make_attribute(key, value) 2023-07-07T20:05:31.8461477Z 2023-07-07T20:05:31.8461940Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8462075Z raise ValueError( 2023-07-07T20:05:31.8462084Z 2023-07-07T20:05:31.8462387Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8462395Z 2023-07-07T20:05:31.8462496Z ``` 2023-07-07T20:05:31.8462703Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8463235Z - diagnostic_context: 2023-07-07T20:05:31.8463610Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8463967Z - symbolic_fn: 2023-07-07T20:05:31.8464174Z - torch_args: 2023-07-07T20:05:31.8464380Z - torch_kwargs: 2023-07-07T20:05:31.8464601Z - Return value: 2023-07-07T20:05:31.8465122Z [2023-07-07 20:02:15,277] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_19]. 2023-07-07T20:05:31.8465374Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8465388Z 2023-07-07T20:05:31.8465731Z [2023-07-07 20:02:15,277] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8466079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8466088Z 2023-07-07T20:05:31.8466401Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8466863Z - self: 2023-07-07T20:05:31.8467262Z - node: fx.Node(native_batch_norm_19[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8467457Z - aten_name: 2023-07-07T20:05:31.8467681Z - function_overloads: 2023-07-07T20:05:31.8467881Z - onnx_args: 2023-07-07T20:05:31.8468130Z - onnx_kwargs: 2023-07-07T20:05:31.8468667Z - diagnostic_context: 2023-07-07T20:05:31.8469020Z - Return value: 2023-07-07T20:05:31.8469531Z [2023-07-07 20:02:15,282] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_19]. 2023-07-07T20:05:31.8469783Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8470099Z [2023-07-07 20:02:15,283] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8470304Z ### Exception log 2023-07-07T20:05:31.8470409Z ``` 2023-07-07T20:05:31.8470615Z Traceback (most recent call last): 2023-07-07T20:05:31.8470625Z 2023-07-07T20:05:31.8471210Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8471360Z torch.testing.assert_close( 2023-07-07T20:05:31.8471384Z 2023-07-07T20:05:31.8471862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8472057Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8472065Z 2023-07-07T20:05:31.8472335Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8472343Z 2023-07-07T20:05:31.8472507Z Mismatched elements: 12446 / 25088 (49.6%) 2023-07-07T20:05:31.8472746Z Greatest absolute difference: nan at index (0, 5, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8472987Z Greatest relative difference: nan at index (0, 5, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8472995Z 2023-07-07T20:05:31.8473097Z ``` 2023-07-07T20:05:31.8473308Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8473826Z - diagnostic_context: 2023-07-07T20:05:31.8474227Z - node: fx.Node(native_batch_norm_19[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8474682Z - symbolic_fn: 2023-07-07T20:05:31.8474895Z - torch_args: 2023-07-07T20:05:31.8475102Z - torch_kwargs: 2023-07-07T20:05:31.8475326Z - Return value: 2023-07-07T20:05:31.8475737Z [2023-07-07 20:02:15,301] torch.onnx: [WARNING] FX Node: call_function:aten.mean.dim[name=mean]. 2023-07-07T20:05:31.8475959Z ONNX Node: aten_mean_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8475983Z 2023-07-07T20:05:31.8476299Z [2023-07-07 20:02:15,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8476649Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8476658Z 2023-07-07T20:05:31.8476972Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8477444Z - self: 2023-07-07T20:05:31.8477735Z - node: fx.Node(mean[call_function]'aten.mean.dim') 2023-07-07T20:05:31.8477935Z - aten_name: 2023-07-07T20:05:31.8478162Z - function_overloads: 2023-07-07T20:05:31.8478361Z - onnx_args: 2023-07-07T20:05:31.8478544Z - onnx_kwargs: 2023-07-07T20:05:31.8479069Z - diagnostic_context: 2023-07-07T20:05:31.8479333Z - Return value: `OnnxFunction(aten_mean_dim)` 2023-07-07T20:05:31.8480067Z 2023-07-07 20:02:15.953486116 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '434'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8480780Z 2023-07-07 20:02:15.953516938 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '412'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8481525Z 2023-07-07 20:02:15.953525012 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '348'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8482246Z 2023-07-07 20:02:15.953531539 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '280'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8482952Z 2023-07-07 20:02:15.953538502 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '239'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8483732Z 2023-07-07 20:02:15.953545100 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '216'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8484549Z 2023-07-07 20:02:15.953551940 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '194'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8485257Z 2023-07-07 20:02:15.953558439 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '152'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8486005Z 2023-07-07 20:02:15.953563940 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '130'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8486693Z 2023-07-07 20:02:15.953571262 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '107'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8487407Z 2023-07-07 20:02:15.953576389 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '370'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8488119Z 2023-07-07 20:02:15.953588420 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '62'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8488816Z 2023-07-07 20:02:15.953600267 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '303'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8489527Z 2023-07-07 20:02:15.953607594 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '171'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8490243Z 2023-07-07 20:02:15.953616368 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '16'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8490953Z 2023-07-07 20:02:15.953625959 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '389'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8491654Z 2023-07-07 20:02:15.953642224 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '261'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8492348Z 2023-07-07 20:02:15.953658964 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '325'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8493041Z 2023-07-07 20:02:15.953670523 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '40'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8493751Z 2023-07-07 20:02:15.953685165 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '85'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:31.8493884Z PASSED [5.5323s] [ 41%] 2023-07-07T20:05:31.8494878Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_scalar_tensor [2023-07-07 20:02:17,442] torch.onnx: [WARNING] FX Node: call_function:aten.scalar_tensor.default[name=scalar_tensor]. 2023-07-07T20:05:31.8495120Z ONNX Node: aten_scalar_tensor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8495131Z 2023-07-07T20:05:31.8495478Z [2023-07-07 20:02:17,442] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8495818Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8495827Z 2023-07-07T20:05:31.8496184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8496689Z - self: 2023-07-07T20:05:31.8497061Z - node: fx.Node(scalar_tensor[call_function]'aten.scalar_tensor.default') 2023-07-07T20:05:31.8497261Z - aten_name: 2023-07-07T20:05:31.8497487Z - function_overloads: 2023-07-07T20:05:31.8497678Z - onnx_args: 2023-07-07T20:05:31.8497881Z - onnx_kwargs: 2023-07-07T20:05:31.8498439Z - diagnostic_context: 2023-07-07T20:05:31.8498729Z - Return value: `OnnxFunction(aten_scalar_tensor)` 2023-07-07T20:05:31.8499230Z [2023-07-07 20:02:17,444] torch.onnx: [WARNING] FX Node: call_function:aten.scalar_tensor.default[name=scalar_tensor_1]. 2023-07-07T20:05:31.8499479Z ONNX Node: aten_scalar_tensor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8499491Z 2023-07-07T20:05:31.8499829Z [2023-07-07 20:02:17,444] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8500190Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8500199Z 2023-07-07T20:05:31.8500513Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8500968Z - self: 2023-07-07T20:05:31.8501340Z - node: fx.Node(scalar_tensor_1[call_function]'aten.scalar_tensor.default') 2023-07-07T20:05:31.8501533Z - aten_name: 2023-07-07T20:05:31.8501761Z - function_overloads: 2023-07-07T20:05:31.8501959Z - onnx_args: 2023-07-07T20:05:31.8502162Z - onnx_kwargs: 2023-07-07T20:05:31.8502693Z - diagnostic_context: 2023-07-07T20:05:31.8502977Z - Return value: `OnnxFunction(aten_scalar_tensor)` 2023-07-07T20:05:31.8503095Z PASSED [0.0598s] [ 42%] 2023-07-07T20:05:31.8504018Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_shufflenet_v2 [2023-07-07 20:02:24,823] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.8504268Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8504276Z 2023-07-07T20:05:31.8504616Z [2023-07-07 20:02:24,823] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8504962Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8504971Z 2023-07-07T20:05:31.8505283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8505752Z - self: 2023-07-07T20:05:31.8506124Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8506324Z - aten_name: 2023-07-07T20:05:31.8506538Z - function_overloads: 2023-07-07T20:05:31.8506740Z - onnx_args: 2023-07-07T20:05:31.8506941Z - onnx_kwargs: 2023-07-07T20:05:31.8507505Z - diagnostic_context: 2023-07-07T20:05:31.8507873Z - Return value: 2023-07-07T20:05:31.8508361Z [2023-07-07 20:02:24,831] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:31.8508607Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8508938Z [2023-07-07 20:02:24,832] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8509064Z ### Exception log 2023-07-07T20:05:31.8509171Z ``` 2023-07-07T20:05:31.8509337Z Traceback (most recent call last): 2023-07-07T20:05:31.8509379Z 2023-07-07T20:05:31.8510005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8510215Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8510223Z 2023-07-07T20:05:31.8510687Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8510847Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8510887Z 2023-07-07T20:05:31.8511453Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8511599Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8511607Z 2023-07-07T20:05:31.8512065Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8512295Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8512307Z 2023-07-07T20:05:31.8512790Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8513019Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8513028Z 2023-07-07T20:05:31.8513608Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8513740Z result = op.Conv( 2023-07-07T20:05:31.8513748Z 2023-07-07T20:05:31.8514250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8514372Z return op( 2023-07-07T20:05:31.8514381Z 2023-07-07T20:05:31.8514865Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8515069Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8515081Z 2023-07-07T20:05:31.8515540Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8515766Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8515774Z 2023-07-07T20:05:31.8516226Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8516441Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8516452Z 2023-07-07T20:05:31.8516921Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8517224Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8517232Z 2023-07-07T20:05:31.8517678Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8517831Z node.attribute.extend( 2023-07-07T20:05:31.8517842Z 2023-07-07T20:05:31.8518283Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8518425Z make_attribute(key, value) 2023-07-07T20:05:31.8518434Z 2023-07-07T20:05:31.8518889Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8519027Z raise ValueError( 2023-07-07T20:05:31.8519035Z 2023-07-07T20:05:31.8519391Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8519404Z 2023-07-07T20:05:31.8519505Z ``` 2023-07-07T20:05:31.8519713Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8520250Z - diagnostic_context: 2023-07-07T20:05:31.8520617Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8520966Z - symbolic_fn: 2023-07-07T20:05:31.8521207Z - torch_args: 2023-07-07T20:05:31.8521414Z - torch_kwargs: 2023-07-07T20:05:31.8521670Z - Return value: 2023-07-07T20:05:31.8522176Z [2023-07-07 20:02:24,840] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm]. 2023-07-07T20:05:31.8522433Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8522444Z 2023-07-07T20:05:31.8522784Z [2023-07-07 20:02:24,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8523170Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8523179Z 2023-07-07T20:05:31.8523492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8523948Z - self: 2023-07-07T20:05:31.8524338Z - node: fx.Node(native_batch_norm[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8524629Z - aten_name: 2023-07-07T20:05:31.8524864Z - function_overloads: 2023-07-07T20:05:31.8525065Z - onnx_args: 2023-07-07T20:05:31.8525265Z - onnx_kwargs: 2023-07-07T20:05:31.8525794Z - diagnostic_context: 2023-07-07T20:05:31.8526148Z - Return value: 2023-07-07T20:05:31.8526653Z [2023-07-07 20:02:24,853] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm]. 2023-07-07T20:05:31.8526906Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8527233Z [2023-07-07 20:02:24,853] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8527355Z ### Exception log 2023-07-07T20:05:31.8527459Z ``` 2023-07-07T20:05:31.8527624Z Traceback (most recent call last): 2023-07-07T20:05:31.8527636Z 2023-07-07T20:05:31.8528219Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8528371Z torch.testing.assert_close( 2023-07-07T20:05:31.8528393Z 2023-07-07T20:05:31.8528875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8529035Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8529046Z 2023-07-07T20:05:31.8529320Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8529328Z 2023-07-07T20:05:31.8529496Z Mismatched elements: 137984 / 301056 (45.8%) 2023-07-07T20:05:31.8529735Z Greatest absolute difference: nan at index (0, 7, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8529973Z Greatest relative difference: nan at index (0, 7, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8529981Z 2023-07-07T20:05:31.8530086Z ``` 2023-07-07T20:05:31.8530289Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8530817Z - diagnostic_context: 2023-07-07T20:05:31.8531204Z - node: fx.Node(native_batch_norm[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8531567Z - symbolic_fn: 2023-07-07T20:05:31.8531827Z - torch_args: 2023-07-07T20:05:31.8532035Z - torch_kwargs: 2023-07-07T20:05:31.8532258Z - Return value: 2023-07-07T20:05:31.8532797Z [2023-07-07 20:02:24,929] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.8533068Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8533077Z 2023-07-07T20:05:31.8533403Z [2023-07-07 20:02:24,929] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8533796Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8533805Z 2023-07-07T20:05:31.8534169Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8534639Z - self: 2023-07-07T20:05:31.8535074Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.8535309Z - aten_name: 2023-07-07T20:05:31.8535534Z - function_overloads: 2023-07-07T20:05:31.8535738Z - onnx_args: 2023-07-07T20:05:31.8535927Z - onnx_kwargs: 2023-07-07T20:05:31.8536457Z - diagnostic_context: 2023-07-07T20:05:31.8536828Z - Return value: 2023-07-07T20:05:31.8537378Z [2023-07-07 20:02:24,935] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:31.8537652Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8537995Z [2023-07-07 20:02:24,935] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8538120Z ### Exception log 2023-07-07T20:05:31.8538223Z ``` 2023-07-07T20:05:31.8538378Z Traceback (most recent call last): 2023-07-07T20:05:31.8538387Z 2023-07-07T20:05:31.8538966Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8539175Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8539187Z 2023-07-07T20:05:31.8539639Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8539797Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8539809Z 2023-07-07T20:05:31.8540385Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 834, in aten_max_pool2d_with_indices 2023-07-07T20:05:31.8540641Z kernel_shape, strides, pads, dilations = _adjust_attributes_of_max_pool( 2023-07-07T20:05:31.8540652Z 2023-07-07T20:05:31.8541240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/nn.py", line 738, in _adjust_attributes_of_max_pool 2023-07-07T20:05:31.8541366Z elif not stride: 2023-07-07T20:05:31.8541377Z 2023-07-07T20:05:31.8541679Z ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() 2023-07-07T20:05:31.8541690Z 2023-07-07T20:05:31.8541784Z ``` 2023-07-07T20:05:31.8541989Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8542517Z - diagnostic_context: 2023-07-07T20:05:31.8542941Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:31.8543314Z - symbolic_fn: 2023-07-07T20:05:31.8543516Z - torch_args: 2023-07-07T20:05:31.8543721Z - torch_kwargs: 2023-07-07T20:05:31.8543930Z - Return value: 2023-07-07T20:05:31.8544458Z [2023-07-07 20:02:24,938] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.8544708Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8544720Z 2023-07-07T20:05:31.8545057Z [2023-07-07 20:02:24,938] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8545399Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8545410Z 2023-07-07T20:05:31.8545728Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8546230Z - self: 2023-07-07T20:05:31.8546635Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8546833Z - aten_name: 2023-07-07T20:05:31.8547051Z - function_overloads: 2023-07-07T20:05:31.8547249Z - onnx_args: 2023-07-07T20:05:31.8547448Z - onnx_kwargs: 2023-07-07T20:05:31.8547984Z - diagnostic_context: 2023-07-07T20:05:31.8548391Z - Return value: 2023-07-07T20:05:31.8548888Z [2023-07-07 20:02:24,946] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:31.8549131Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8549482Z [2023-07-07 20:02:24,946] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8549599Z ### Exception log 2023-07-07T20:05:31.8549698Z ``` 2023-07-07T20:05:31.8549860Z Traceback (most recent call last): 2023-07-07T20:05:31.8549871Z 2023-07-07T20:05:31.8550448Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8550656Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8550665Z 2023-07-07T20:05:31.8551124Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8551287Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8551295Z 2023-07-07T20:05:31.8551857Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8552008Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8552030Z 2023-07-07T20:05:31.8552471Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8552706Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8552718Z 2023-07-07T20:05:31.8553203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8553439Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8553448Z 2023-07-07T20:05:31.8554031Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8554164Z result = op.Conv( 2023-07-07T20:05:31.8554172Z 2023-07-07T20:05:31.8554726Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8554846Z return op( 2023-07-07T20:05:31.8554857Z 2023-07-07T20:05:31.8555318Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8555525Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8555549Z 2023-07-07T20:05:31.8555988Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8556209Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8556217Z 2023-07-07T20:05:31.8556715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8556931Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8556940Z 2023-07-07T20:05:31.8557414Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8557718Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8557727Z 2023-07-07T20:05:31.8558165Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8558356Z node.attribute.extend( 2023-07-07T20:05:31.8558364Z 2023-07-07T20:05:31.8558852Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8558988Z make_attribute(key, value) 2023-07-07T20:05:31.8559012Z 2023-07-07T20:05:31.8559458Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8559592Z raise ValueError( 2023-07-07T20:05:31.8559634Z 2023-07-07T20:05:31.8559930Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8559940Z 2023-07-07T20:05:31.8560041Z ``` 2023-07-07T20:05:31.8560246Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8560779Z - diagnostic_context: 2023-07-07T20:05:31.8561154Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8561516Z - symbolic_fn: 2023-07-07T20:05:31.8561708Z - torch_args: 2023-07-07T20:05:31.8561912Z - torch_kwargs: 2023-07-07T20:05:31.8562131Z - Return value: 2023-07-07T20:05:31.8562647Z [2023-07-07 20:02:24,953] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_1]. 2023-07-07T20:05:31.8562904Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8562916Z 2023-07-07T20:05:31.8563258Z [2023-07-07 20:02:24,953] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8563607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8563616Z 2023-07-07T20:05:31.8563928Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8564471Z - self: 2023-07-07T20:05:31.8564878Z - node: fx.Node(native_batch_norm_1[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8565070Z - aten_name: 2023-07-07T20:05:31.8565302Z - function_overloads: 2023-07-07T20:05:31.8565501Z - onnx_args: 2023-07-07T20:05:31.8565707Z - onnx_kwargs: 2023-07-07T20:05:31.8566242Z - diagnostic_context: 2023-07-07T20:05:31.8566608Z - Return value: 2023-07-07T20:05:31.8567103Z [2023-07-07 20:02:24,960] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_1]. 2023-07-07T20:05:31.8567357Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8567680Z [2023-07-07 20:02:24,960] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8567812Z ### Exception log 2023-07-07T20:05:31.8567920Z ``` 2023-07-07T20:05:31.8568084Z Traceback (most recent call last): 2023-07-07T20:05:31.8568096Z 2023-07-07T20:05:31.8568671Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8568837Z torch.testing.assert_close( 2023-07-07T20:05:31.8568845Z 2023-07-07T20:05:31.8569429Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8569596Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8569604Z 2023-07-07T20:05:31.8569874Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8569883Z 2023-07-07T20:05:31.8570048Z Mismatched elements: 7840 / 18816 (41.7%) 2023-07-07T20:05:31.8570283Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8570523Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8570572Z 2023-07-07T20:05:31.8570681Z ``` 2023-07-07T20:05:31.8570939Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8571464Z - diagnostic_context: 2023-07-07T20:05:31.8571851Z - node: fx.Node(native_batch_norm_1[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8572213Z - symbolic_fn: 2023-07-07T20:05:31.8572459Z - torch_args: 2023-07-07T20:05:31.8572670Z - torch_kwargs: 2023-07-07T20:05:31.8572890Z - Return value: 2023-07-07T20:05:31.8573383Z [2023-07-07 20:02:24,963] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.8573627Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8573635Z 2023-07-07T20:05:31.8573960Z [2023-07-07 20:02:24,963] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8574288Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8574298Z 2023-07-07T20:05:31.8574582Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8574997Z - self: 2023-07-07T20:05:31.8575325Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8575498Z - aten_name: 2023-07-07T20:05:31.8575697Z - function_overloads: 2023-07-07T20:05:31.8575872Z - onnx_args: 2023-07-07T20:05:31.8576034Z - onnx_kwargs: 2023-07-07T20:05:31.8576496Z - diagnostic_context: 2023-07-07T20:05:31.8576814Z - Return value: 2023-07-07T20:05:31.8577251Z [2023-07-07 20:02:24,972] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:31.8577468Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8577773Z [2023-07-07 20:02:24,972] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8577883Z ### Exception log 2023-07-07T20:05:31.8577975Z ``` 2023-07-07T20:05:31.8578108Z Traceback (most recent call last): 2023-07-07T20:05:31.8578116Z 2023-07-07T20:05:31.8578621Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8578802Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8578811Z 2023-07-07T20:05:31.8579205Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8579346Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8579356Z 2023-07-07T20:05:31.8579846Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8579988Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8579996Z 2023-07-07T20:05:31.8580393Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8580634Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8580645Z 2023-07-07T20:05:31.8581064Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8581251Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8581259Z 2023-07-07T20:05:31.8581754Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8581866Z result = op.Conv( 2023-07-07T20:05:31.8581907Z 2023-07-07T20:05:31.8582375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8582482Z return op( 2023-07-07T20:05:31.8582490Z 2023-07-07T20:05:31.8582884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8583077Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8583084Z 2023-07-07T20:05:31.8583512Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8583705Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8583712Z 2023-07-07T20:05:31.8584109Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8584281Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8584289Z 2023-07-07T20:05:31.8584716Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8585006Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8585014Z 2023-07-07T20:05:31.8585416Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8585550Z node.attribute.extend( 2023-07-07T20:05:31.8585559Z 2023-07-07T20:05:31.8585988Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8586142Z make_attribute(key, value) 2023-07-07T20:05:31.8586150Z 2023-07-07T20:05:31.8586612Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8586747Z raise ValueError( 2023-07-07T20:05:31.8586755Z 2023-07-07T20:05:31.8587041Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8587066Z 2023-07-07T20:05:31.8587160Z ``` 2023-07-07T20:05:31.8587366Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8587900Z - diagnostic_context: 2023-07-07T20:05:31.8588283Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8588647Z - symbolic_fn: 2023-07-07T20:05:31.8588854Z - torch_args: 2023-07-07T20:05:31.8589064Z - torch_kwargs: 2023-07-07T20:05:31.8589269Z - Return value: 2023-07-07T20:05:31.8589788Z [2023-07-07 20:02:24,979] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_2]. 2023-07-07T20:05:31.8590047Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8590057Z 2023-07-07T20:05:31.8590396Z [2023-07-07 20:02:24,979] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8590769Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8590779Z 2023-07-07T20:05:31.8591095Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8591556Z - self: 2023-07-07T20:05:31.8592000Z - node: fx.Node(native_batch_norm_2[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8592200Z - aten_name: 2023-07-07T20:05:31.8592415Z - function_overloads: 2023-07-07T20:05:31.8592611Z - onnx_args: 2023-07-07T20:05:31.8592812Z - onnx_kwargs: 2023-07-07T20:05:31.8593337Z - diagnostic_context: 2023-07-07T20:05:31.8593697Z - Return value: 2023-07-07T20:05:31.8594289Z [2023-07-07 20:02:25,008] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_2]. 2023-07-07T20:05:31.8594546Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8594935Z [2023-07-07 20:02:25,008] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8595059Z ### Exception log 2023-07-07T20:05:31.8595168Z ``` 2023-07-07T20:05:31.8595336Z Traceback (most recent call last): 2023-07-07T20:05:31.8595380Z 2023-07-07T20:05:31.8595960Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8596126Z torch.testing.assert_close( 2023-07-07T20:05:31.8596134Z 2023-07-07T20:05:31.8596631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8596788Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8596802Z 2023-07-07T20:05:31.8597074Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8597082Z 2023-07-07T20:05:31.8597235Z Mismatched elements: 8624 / 18816 (45.8%) 2023-07-07T20:05:31.8597475Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8597714Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8597722Z 2023-07-07T20:05:31.8597826Z ``` 2023-07-07T20:05:31.8598032Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8598565Z - diagnostic_context: 2023-07-07T20:05:31.8598956Z - node: fx.Node(native_batch_norm_2[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8599319Z - symbolic_fn: 2023-07-07T20:05:31.8599506Z - torch_args: 2023-07-07T20:05:31.8599713Z - torch_kwargs: 2023-07-07T20:05:31.8599941Z - Return value: 2023-07-07T20:05:31.8600444Z [2023-07-07 20:02:25,022] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.8600692Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8600700Z 2023-07-07T20:05:31.8601042Z [2023-07-07 20:02:25,022] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8601388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8601399Z 2023-07-07T20:05:31.8601708Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8602160Z - self: 2023-07-07T20:05:31.8602536Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8602730Z - aten_name: 2023-07-07T20:05:31.8602963Z - function_overloads: 2023-07-07T20:05:31.8603157Z - onnx_args: 2023-07-07T20:05:31.8603364Z - onnx_kwargs: 2023-07-07T20:05:31.8603896Z - diagnostic_context: 2023-07-07T20:05:31.8604263Z - Return value: 2023-07-07T20:05:31.8604928Z [2023-07-07 20:02:25,034] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:31.8605183Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8605535Z [2023-07-07 20:02:25,034] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8605664Z ### Exception log 2023-07-07T20:05:31.8605768Z ``` 2023-07-07T20:05:31.8605931Z Traceback (most recent call last): 2023-07-07T20:05:31.8605942Z 2023-07-07T20:05:31.8606522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8606785Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8606796Z 2023-07-07T20:05:31.8607283Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8607447Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8607455Z 2023-07-07T20:05:31.8608019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8608223Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8608231Z 2023-07-07T20:05:31.8608693Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8608925Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8608933Z 2023-07-07T20:05:31.8609420Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8609654Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8609662Z 2023-07-07T20:05:31.8610240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8610370Z result = op.Conv( 2023-07-07T20:05:31.8610378Z 2023-07-07T20:05:31.8610866Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8610985Z return op( 2023-07-07T20:05:31.8610993Z 2023-07-07T20:05:31.8611447Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8611666Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8611674Z 2023-07-07T20:05:31.8612127Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8612349Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8612357Z 2023-07-07T20:05:31.8612812Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8613026Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8613034Z 2023-07-07T20:05:31.8613496Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8613797Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8613808Z 2023-07-07T20:05:31.8614228Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8614384Z node.attribute.extend( 2023-07-07T20:05:31.8614392Z 2023-07-07T20:05:31.8614840Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8614990Z make_attribute(key, value) 2023-07-07T20:05:31.8615002Z 2023-07-07T20:05:31.8615461Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8615594Z raise ValueError( 2023-07-07T20:05:31.8615602Z 2023-07-07T20:05:31.8615899Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8615907Z 2023-07-07T20:05:31.8616011Z ``` 2023-07-07T20:05:31.8616253Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8616777Z - diagnostic_context: 2023-07-07T20:05:31.8617156Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8617516Z - symbolic_fn: 2023-07-07T20:05:31.8617722Z - torch_args: 2023-07-07T20:05:31.8617933Z - torch_kwargs: 2023-07-07T20:05:31.8618159Z - Return value: 2023-07-07T20:05:31.8618742Z [2023-07-07 20:02:25,041] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_3]. 2023-07-07T20:05:31.8618986Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8619008Z 2023-07-07T20:05:31.8619333Z [2023-07-07 20:02:25,041] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8619681Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8619722Z 2023-07-07T20:05:31.8620041Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8620509Z - self: 2023-07-07T20:05:31.8620901Z - node: fx.Node(native_batch_norm_3[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8621094Z - aten_name: 2023-07-07T20:05:31.8621324Z - function_overloads: 2023-07-07T20:05:31.8621527Z - onnx_args: 2023-07-07T20:05:31.8621717Z - onnx_kwargs: 2023-07-07T20:05:31.8622241Z - diagnostic_context: 2023-07-07T20:05:31.8622602Z - Return value: 2023-07-07T20:05:31.8623123Z [2023-07-07 20:02:25,065] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_3]. 2023-07-07T20:05:31.8623375Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8623697Z [2023-07-07 20:02:25,066] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8623824Z ### Exception log 2023-07-07T20:05:31.8623913Z ``` 2023-07-07T20:05:31.8624075Z Traceback (most recent call last): 2023-07-07T20:05:31.8624084Z 2023-07-07T20:05:31.8624666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8624837Z torch.testing.assert_close( 2023-07-07T20:05:31.8624845Z 2023-07-07T20:05:31.8625344Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8625500Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8625511Z 2023-07-07T20:05:31.8625779Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8625790Z 2023-07-07T20:05:31.8625953Z Mismatched elements: 25088 / 75264 (33.3%) 2023-07-07T20:05:31.8626192Z Greatest absolute difference: nan at index (0, 8, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8626416Z Greatest relative difference: nan at index (0, 8, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8626439Z 2023-07-07T20:05:31.8626528Z ``` 2023-07-07T20:05:31.8626735Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8627261Z - diagnostic_context: 2023-07-07T20:05:31.8627663Z - node: fx.Node(native_batch_norm_3[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8628029Z - symbolic_fn: 2023-07-07T20:05:31.8628234Z - torch_args: 2023-07-07T20:05:31.8628440Z - torch_kwargs: 2023-07-07T20:05:31.8628649Z - Return value: 2023-07-07T20:05:31.8629184Z [2023-07-07 20:02:25,107] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.8629435Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8629443Z 2023-07-07T20:05:31.8629784Z [2023-07-07 20:02:25,107] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8630131Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8630140Z 2023-07-07T20:05:31.8630455Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8630988Z - self: 2023-07-07T20:05:31.8631359Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8631556Z - aten_name: 2023-07-07T20:05:31.8631769Z - function_overloads: 2023-07-07T20:05:31.8631971Z - onnx_args: 2023-07-07T20:05:31.8632172Z - onnx_kwargs: 2023-07-07T20:05:31.8632733Z - diagnostic_context: 2023-07-07T20:05:31.8633095Z - Return value: 2023-07-07T20:05:31.8633587Z [2023-07-07 20:02:25,120] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:31.8633832Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8634164Z [2023-07-07 20:02:25,120] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8634289Z ### Exception log 2023-07-07T20:05:31.8634399Z ``` 2023-07-07T20:05:31.8634566Z Traceback (most recent call last): 2023-07-07T20:05:31.8634574Z 2023-07-07T20:05:31.8635225Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8635435Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8635444Z 2023-07-07T20:05:31.8635903Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8636064Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8636072Z 2023-07-07T20:05:31.8636631Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8636782Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8636790Z 2023-07-07T20:05:31.8637243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8637480Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8637489Z 2023-07-07T20:05:31.8637971Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8638201Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8638210Z 2023-07-07T20:05:31.8638789Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8638922Z result = op.Conv( 2023-07-07T20:05:31.8638930Z 2023-07-07T20:05:31.8639433Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8639552Z return op( 2023-07-07T20:05:31.8639560Z 2023-07-07T20:05:31.8640008Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8640218Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8640226Z 2023-07-07T20:05:31.8640681Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8640902Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8640910Z 2023-07-07T20:05:31.8641405Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8641622Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8641630Z 2023-07-07T20:05:31.8642098Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8642398Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8642407Z 2023-07-07T20:05:31.8642886Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8643084Z node.attribute.extend( 2023-07-07T20:05:31.8643093Z 2023-07-07T20:05:31.8643534Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8643672Z make_attribute(key, value) 2023-07-07T20:05:31.8643680Z 2023-07-07T20:05:31.8644142Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8644309Z raise ValueError( 2023-07-07T20:05:31.8644318Z 2023-07-07T20:05:31.8644900Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8644921Z 2023-07-07T20:05:31.8645006Z ``` 2023-07-07T20:05:31.8645140Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8645490Z - diagnostic_context: 2023-07-07T20:05:31.8645713Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8645914Z - symbolic_fn: 2023-07-07T20:05:31.8646034Z - torch_args: 2023-07-07T20:05:31.8646154Z - torch_kwargs: 2023-07-07T20:05:31.8646284Z - Return value: 2023-07-07T20:05:31.8646579Z [2023-07-07 20:02:25,128] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_4]. 2023-07-07T20:05:31.8646737Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8646742Z 2023-07-07T20:05:31.8646940Z [2023-07-07 20:02:25,129] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8647146Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8647152Z 2023-07-07T20:05:31.8647335Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8647594Z - self: 2023-07-07T20:05:31.8647821Z - node: fx.Node(native_batch_norm_4[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8647934Z - aten_name: 2023-07-07T20:05:31.8648067Z - function_overloads: 2023-07-07T20:05:31.8648182Z - onnx_args: 2023-07-07T20:05:31.8648299Z - onnx_kwargs: 2023-07-07T20:05:31.8648604Z - diagnostic_context: 2023-07-07T20:05:31.8648806Z - Return value: 2023-07-07T20:05:31.8649098Z [2023-07-07 20:02:25,135] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_4]. 2023-07-07T20:05:31.8649246Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8649432Z [2023-07-07 20:02:25,135] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8649509Z ### Exception log 2023-07-07T20:05:31.8649570Z ``` 2023-07-07T20:05:31.8649666Z Traceback (most recent call last): 2023-07-07T20:05:31.8649672Z 2023-07-07T20:05:31.8650002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8650192Z torch.testing.assert_close( 2023-07-07T20:05:31.8650213Z 2023-07-07T20:05:31.8650487Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8650584Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8650591Z 2023-07-07T20:05:31.8650748Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8650754Z 2023-07-07T20:05:31.8650852Z Mismatched elements: 10976 / 18816 (58.3%) 2023-07-07T20:05:31.8650991Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8651172Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8651177Z 2023-07-07T20:05:31.8651274Z ``` 2023-07-07T20:05:31.8651398Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8651693Z - diagnostic_context: 2023-07-07T20:05:31.8651921Z - node: fx.Node(native_batch_norm_4[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8652130Z - symbolic_fn: 2023-07-07T20:05:31.8652290Z - torch_args: 2023-07-07T20:05:31.8652410Z - torch_kwargs: 2023-07-07T20:05:31.8652539Z - Return value: 2023-07-07T20:05:31.8652822Z [2023-07-07 20:02:25,138] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.8652966Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8652973Z 2023-07-07T20:05:31.8653156Z [2023-07-07 20:02:25,138] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8653360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8653366Z 2023-07-07T20:05:31.8653549Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8653820Z - self: 2023-07-07T20:05:31.8654037Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8654151Z - aten_name: 2023-07-07T20:05:31.8654283Z - function_overloads: 2023-07-07T20:05:31.8654398Z - onnx_args: 2023-07-07T20:05:31.8654502Z - onnx_kwargs: 2023-07-07T20:05:31.8654808Z - diagnostic_context: 2023-07-07T20:05:31.8655019Z - Return value: 2023-07-07T20:05:31.8655302Z [2023-07-07 20:02:25,145] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:31.8655444Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8655642Z [2023-07-07 20:02:25,146] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8655716Z ### Exception log 2023-07-07T20:05:31.8655778Z ``` 2023-07-07T20:05:31.8655863Z Traceback (most recent call last): 2023-07-07T20:05:31.8655870Z 2023-07-07T20:05:31.8656200Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8656322Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8656327Z 2023-07-07T20:05:31.8656585Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8656683Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8656688Z 2023-07-07T20:05:31.8657005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8657099Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8657105Z 2023-07-07T20:05:31.8657391Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8657530Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8657538Z 2023-07-07T20:05:31.8657803Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8657938Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8657943Z 2023-07-07T20:05:31.8658271Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8658407Z result = op.Conv( 2023-07-07T20:05:31.8658412Z 2023-07-07T20:05:31.8658724Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8658796Z return op( 2023-07-07T20:05:31.8658801Z 2023-07-07T20:05:31.8659058Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8659188Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8659220Z 2023-07-07T20:05:31.8659480Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8659609Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8659615Z 2023-07-07T20:05:31.8659860Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8659984Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8659992Z 2023-07-07T20:05:31.8660261Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8660440Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8660445Z 2023-07-07T20:05:31.8660704Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8660795Z node.attribute.extend( 2023-07-07T20:05:31.8660803Z 2023-07-07T20:05:31.8661056Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8661143Z make_attribute(key, value) 2023-07-07T20:05:31.8661148Z 2023-07-07T20:05:31.8661407Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8661473Z raise ValueError( 2023-07-07T20:05:31.8661491Z 2023-07-07T20:05:31.8661651Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8661659Z 2023-07-07T20:05:31.8661721Z ``` 2023-07-07T20:05:31.8661843Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8662148Z - diagnostic_context: 2023-07-07T20:05:31.8662361Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8662572Z - symbolic_fn: 2023-07-07T20:05:31.8662693Z - torch_args: 2023-07-07T20:05:31.8662799Z - torch_kwargs: 2023-07-07T20:05:31.8662928Z - Return value: 2023-07-07T20:05:31.8663222Z [2023-07-07 20:02:25,154] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_5]. 2023-07-07T20:05:31.8663372Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8663378Z 2023-07-07T20:05:31.8663580Z [2023-07-07 20:02:25,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8663785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8663791Z 2023-07-07T20:05:31.8663975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8664268Z - self: 2023-07-07T20:05:31.8664498Z - node: fx.Node(native_batch_norm_5[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8664598Z - aten_name: 2023-07-07T20:05:31.8664728Z - function_overloads: 2023-07-07T20:05:31.8664843Z - onnx_args: 2023-07-07T20:05:31.8664959Z - onnx_kwargs: 2023-07-07T20:05:31.8665261Z - diagnostic_context: 2023-07-07T20:05:31.8665505Z - Return value: 2023-07-07T20:05:31.8665824Z [2023-07-07 20:02:25,161] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_5]. 2023-07-07T20:05:31.8665976Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8666151Z [2023-07-07 20:02:25,161] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8666228Z ### Exception log 2023-07-07T20:05:31.8666288Z ``` 2023-07-07T20:05:31.8666383Z Traceback (most recent call last): 2023-07-07T20:05:31.8666415Z 2023-07-07T20:05:31.8666745Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8666841Z torch.testing.assert_close( 2023-07-07T20:05:31.8666846Z 2023-07-07T20:05:31.8667128Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8667225Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8667230Z 2023-07-07T20:05:31.8667374Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8667394Z 2023-07-07T20:05:31.8667479Z Mismatched elements: 10192 / 18816 (54.2%) 2023-07-07T20:05:31.8667618Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8667760Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8667765Z 2023-07-07T20:05:31.8667826Z ``` 2023-07-07T20:05:31.8667947Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8668254Z - diagnostic_context: 2023-07-07T20:05:31.8668479Z - node: fx.Node(native_batch_norm_5[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8668678Z - symbolic_fn: 2023-07-07T20:05:31.8668795Z - torch_args: 2023-07-07T20:05:31.8668915Z - torch_kwargs: 2023-07-07T20:05:31.8669042Z - Return value: 2023-07-07T20:05:31.8669287Z [2023-07-07 20:02:25,175] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T20:05:31.8669419Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8669425Z 2023-07-07T20:05:31.8669621Z [2023-07-07 20:02:25,175] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8669824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8669831Z 2023-07-07T20:05:31.8670013Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8670267Z - self: 2023-07-07T20:05:31.8670436Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T20:05:31.8670549Z - aten_name: 2023-07-07T20:05:31.8670682Z - function_overloads: 2023-07-07T20:05:31.8670796Z - onnx_args: 2023-07-07T20:05:31.8670913Z - onnx_kwargs: 2023-07-07T20:05:31.8671220Z - diagnostic_context: 2023-07-07T20:05:31.8671349Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.8671639Z [2023-07-07 20:02:25,184] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:31.8671782Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8671790Z 2023-07-07T20:05:31.8671985Z [2023-07-07 20:02:25,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8672188Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8672194Z 2023-07-07T20:05:31.8672379Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8672695Z - self: 2023-07-07T20:05:31.8672911Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:31.8673025Z - aten_name: 2023-07-07T20:05:31.8673144Z - function_overloads: 2023-07-07T20:05:31.8673259Z - onnx_args: 2023-07-07T20:05:31.8673375Z - onnx_kwargs: 2023-07-07T20:05:31.8673681Z - diagnostic_context: 2023-07-07T20:05:31.8673923Z - Return value: 2023-07-07T20:05:31.8674178Z [2023-07-07 20:02:25,188] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:31.8674314Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8674319Z 2023-07-07T20:05:31.8674515Z [2023-07-07 20:02:25,188] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8674787Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8674798Z 2023-07-07T20:05:31.8674985Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8675254Z - self: 2023-07-07T20:05:31.8675435Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:31.8675589Z - aten_name: 2023-07-07T20:05:31.8675782Z - function_overloads: 2023-07-07T20:05:31.8675970Z - onnx_args: 2023-07-07T20:05:31.8676178Z - onnx_kwargs: 2023-07-07T20:05:31.8676700Z - diagnostic_context: 2023-07-07T20:05:31.8676952Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.8677380Z [2023-07-07 20:02:25,196] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:31.8677614Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8677623Z 2023-07-07T20:05:31.8677969Z [2023-07-07 20:02:25,196] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8678316Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8678324Z 2023-07-07T20:05:31.8678642Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8679104Z - self: 2023-07-07T20:05:31.8679399Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.8679590Z - aten_name: 2023-07-07T20:05:31.8679817Z - function_overloads: 2023-07-07T20:05:31.8680012Z - onnx_args: 2023-07-07T20:05:31.8680216Z - onnx_kwargs: 2023-07-07T20:05:31.8680746Z - diagnostic_context: 2023-07-07T20:05:31.8680999Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.8681470Z [2023-07-07 20:02:25,201] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_20]. 2023-07-07T20:05:31.8681690Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8681699Z 2023-07-07T20:05:31.8682086Z [2023-07-07 20:02:25,201] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8682435Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8682444Z 2023-07-07T20:05:31.8682763Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8683229Z - self: 2023-07-07T20:05:31.8683581Z - node: fx.Node(getitem_20[call_function]'') 2023-07-07T20:05:31.8683821Z - aten_name: 2023-07-07T20:05:31.8684083Z - function_overloads: 2023-07-07T20:05:31.8684269Z - onnx_args: 2023-07-07T20:05:31.8684575Z - onnx_kwargs: 2023-07-07T20:05:31.8685116Z - diagnostic_context: 2023-07-07T20:05:31.8685385Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.8685868Z [2023-07-07 20:02:25,203] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_21]. 2023-07-07T20:05:31.8686166Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8686175Z 2023-07-07T20:05:31.8686515Z [2023-07-07 20:02:25,203] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8686864Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8686879Z 2023-07-07T20:05:31.8687191Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8687645Z - self: 2023-07-07T20:05:31.8688001Z - node: fx.Node(getitem_21[call_function]'') 2023-07-07T20:05:31.8688192Z - aten_name: 2023-07-07T20:05:31.8688422Z - function_overloads: 2023-07-07T20:05:31.8688620Z - onnx_args: 2023-07-07T20:05:31.8688822Z - onnx_kwargs: 2023-07-07T20:05:31.8689348Z - diagnostic_context: 2023-07-07T20:05:31.8689600Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.8690091Z [2023-07-07 20:02:25,205] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.8690341Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8690352Z 2023-07-07T20:05:31.8690688Z [2023-07-07 20:02:25,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8691030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8691038Z 2023-07-07T20:05:31.8691345Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8691812Z - self: 2023-07-07T20:05:31.8692187Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8692381Z - aten_name: 2023-07-07T20:05:31.8692595Z - function_overloads: 2023-07-07T20:05:31.8692791Z - onnx_args: 2023-07-07T20:05:31.8692996Z - onnx_kwargs: 2023-07-07T20:05:31.8693521Z - diagnostic_context: 2023-07-07T20:05:31.8693922Z - Return value: 2023-07-07T20:05:31.8694414Z [2023-07-07 20:02:25,219] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:31.8694659Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8695003Z [2023-07-07 20:02:25,219] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8695161Z ### Exception log 2023-07-07T20:05:31.8695267Z ``` 2023-07-07T20:05:31.8695434Z Traceback (most recent call last): 2023-07-07T20:05:31.8695443Z 2023-07-07T20:05:31.8696024Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8696236Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8696245Z 2023-07-07T20:05:31.8696697Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8696899Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8696907Z 2023-07-07T20:05:31.8697506Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8697656Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8697682Z 2023-07-07T20:05:31.8698118Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8698348Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8698391Z 2023-07-07T20:05:31.8698869Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8699097Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8699106Z 2023-07-07T20:05:31.8699682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8699818Z result = op.Conv( 2023-07-07T20:05:31.8699826Z 2023-07-07T20:05:31.8700326Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8700447Z return op( 2023-07-07T20:05:31.8700456Z 2023-07-07T20:05:31.8700908Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8701107Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8701134Z 2023-07-07T20:05:31.8701574Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8701797Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8701807Z 2023-07-07T20:05:31.8702258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8702474Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8702490Z 2023-07-07T20:05:31.8702965Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8703265Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8703274Z 2023-07-07T20:05:31.8703720Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8703875Z node.attribute.extend( 2023-07-07T20:05:31.8703886Z 2023-07-07T20:05:31.8704324Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8704456Z make_attribute(key, value) 2023-07-07T20:05:31.8704465Z 2023-07-07T20:05:31.8704919Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8705047Z raise ValueError( 2023-07-07T20:05:31.8705055Z 2023-07-07T20:05:31.8705359Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8705367Z 2023-07-07T20:05:31.8705473Z ``` 2023-07-07T20:05:31.8705682Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8706217Z - diagnostic_context: 2023-07-07T20:05:31.8706621Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8706985Z - symbolic_fn: 2023-07-07T20:05:31.8707179Z - torch_args: 2023-07-07T20:05:31.8707383Z - torch_kwargs: 2023-07-07T20:05:31.8707604Z - Return value: 2023-07-07T20:05:31.8708118Z [2023-07-07 20:02:25,225] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_6]. 2023-07-07T20:05:31.8708372Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8708415Z 2023-07-07T20:05:31.8708757Z [2023-07-07 20:02:25,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8709132Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8709142Z 2023-07-07T20:05:31.8709452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8709917Z - self: 2023-07-07T20:05:31.8710359Z - node: fx.Node(native_batch_norm_6[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8710556Z - aten_name: 2023-07-07T20:05:31.8710784Z - function_overloads: 2023-07-07T20:05:31.8710980Z - onnx_args: 2023-07-07T20:05:31.8711184Z - onnx_kwargs: 2023-07-07T20:05:31.8711712Z - diagnostic_context: 2023-07-07T20:05:31.8712071Z - Return value: 2023-07-07T20:05:31.8712588Z [2023-07-07 20:02:25,230] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_6]. 2023-07-07T20:05:31.8712839Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8713155Z [2023-07-07 20:02:25,230] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8713287Z ### Exception log 2023-07-07T20:05:31.8713391Z ``` 2023-07-07T20:05:31.8713557Z Traceback (most recent call last): 2023-07-07T20:05:31.8713565Z 2023-07-07T20:05:31.8714156Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8714307Z torch.testing.assert_close( 2023-07-07T20:05:31.8714330Z 2023-07-07T20:05:31.8714882Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8715040Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8715052Z 2023-07-07T20:05:31.8715324Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8715333Z 2023-07-07T20:05:31.8715494Z Mismatched elements: 9408 / 18816 (50.0%) 2023-07-07T20:05:31.8715732Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8715974Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8715983Z 2023-07-07T20:05:31.8716091Z ``` 2023-07-07T20:05:31.8716295Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8716816Z - diagnostic_context: 2023-07-07T20:05:31.8717209Z - node: fx.Node(native_batch_norm_6[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8717574Z - symbolic_fn: 2023-07-07T20:05:31.8717776Z - torch_args: 2023-07-07T20:05:31.8717988Z - torch_kwargs: 2023-07-07T20:05:31.8718209Z - Return value: 2023-07-07T20:05:31.8718714Z [2023-07-07 20:02:25,245] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.8718960Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8718969Z 2023-07-07T20:05:31.8719335Z [2023-07-07 20:02:25,245] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8719684Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8719697Z 2023-07-07T20:05:31.8720007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8720473Z - self: 2023-07-07T20:05:31.8720845Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8721076Z - aten_name: 2023-07-07T20:05:31.8721301Z - function_overloads: 2023-07-07T20:05:31.8721533Z - onnx_args: 2023-07-07T20:05:31.8721723Z - onnx_kwargs: 2023-07-07T20:05:31.8722253Z - diagnostic_context: 2023-07-07T20:05:31.8722619Z - Return value: 2023-07-07T20:05:31.8723108Z [2023-07-07 20:02:25,252] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:31.8723388Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8723734Z [2023-07-07 20:02:25,252] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8723864Z ### Exception log 2023-07-07T20:05:31.8723967Z ``` 2023-07-07T20:05:31.8724118Z Traceback (most recent call last): 2023-07-07T20:05:31.8724127Z 2023-07-07T20:05:31.8724802Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8725018Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8725026Z 2023-07-07T20:05:31.8725485Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8725644Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8725655Z 2023-07-07T20:05:31.8726213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8726378Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8726386Z 2023-07-07T20:05:31.8726834Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8727065Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8727074Z 2023-07-07T20:05:31.8727560Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8727781Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8727789Z 2023-07-07T20:05:31.8728358Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8728489Z result = op.Conv( 2023-07-07T20:05:31.8728500Z 2023-07-07T20:05:31.8728993Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8729116Z return op( 2023-07-07T20:05:31.8729125Z 2023-07-07T20:05:31.8729580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8729801Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8729809Z 2023-07-07T20:05:31.8730258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8730483Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8730494Z 2023-07-07T20:05:31.8730930Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8731141Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8731150Z 2023-07-07T20:05:31.8731675Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8731976Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8731985Z 2023-07-07T20:05:31.8732423Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8732580Z node.attribute.extend( 2023-07-07T20:05:31.8732588Z 2023-07-07T20:05:31.8733022Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8733225Z make_attribute(key, value) 2023-07-07T20:05:31.8733233Z 2023-07-07T20:05:31.8733726Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8733860Z raise ValueError( 2023-07-07T20:05:31.8733869Z 2023-07-07T20:05:31.8734151Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8734176Z 2023-07-07T20:05:31.8734265Z ``` 2023-07-07T20:05:31.8734509Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8735046Z - diagnostic_context: 2023-07-07T20:05:31.8735416Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8735781Z - symbolic_fn: 2023-07-07T20:05:31.8735985Z - torch_args: 2023-07-07T20:05:31.8736193Z - torch_kwargs: 2023-07-07T20:05:31.8736402Z - Return value: 2023-07-07T20:05:31.8736923Z [2023-07-07 20:02:25,260] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_7]. 2023-07-07T20:05:31.8737178Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8737190Z 2023-07-07T20:05:31.8737533Z [2023-07-07 20:02:25,260] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8737880Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8737893Z 2023-07-07T20:05:31.8738206Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8738681Z - self: 2023-07-07T20:05:31.8739072Z - node: fx.Node(native_batch_norm_7[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8739267Z - aten_name: 2023-07-07T20:05:31.8739481Z - function_overloads: 2023-07-07T20:05:31.8739681Z - onnx_args: 2023-07-07T20:05:31.8739887Z - onnx_kwargs: 2023-07-07T20:05:31.8740413Z - diagnostic_context: 2023-07-07T20:05:31.8740776Z - Return value: 2023-07-07T20:05:31.8741300Z [2023-07-07 20:02:25,266] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_7]. 2023-07-07T20:05:31.8741556Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8741864Z [2023-07-07 20:02:25,266] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8741990Z ### Exception log 2023-07-07T20:05:31.8742096Z ``` 2023-07-07T20:05:31.8742258Z Traceback (most recent call last): 2023-07-07T20:05:31.8742268Z 2023-07-07T20:05:31.8742849Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8743018Z torch.testing.assert_close( 2023-07-07T20:05:31.8743027Z 2023-07-07T20:05:31.8743532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8743687Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8743695Z 2023-07-07T20:05:31.8744037Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8744049Z 2023-07-07T20:05:31.8744199Z Mismatched elements: 10192 / 18816 (54.2%) 2023-07-07T20:05:31.8744435Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8744672Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8744680Z 2023-07-07T20:05:31.8744788Z ``` 2023-07-07T20:05:31.8744994Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8745560Z - diagnostic_context: 2023-07-07T20:05:31.8745985Z - node: fx.Node(native_batch_norm_7[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8746349Z - symbolic_fn: 2023-07-07T20:05:31.8746536Z - torch_args: 2023-07-07T20:05:31.8746740Z - torch_kwargs: 2023-07-07T20:05:31.8746966Z - Return value: 2023-07-07T20:05:31.8747461Z [2023-07-07 20:02:25,269] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.8747738Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8747746Z 2023-07-07T20:05:31.8748090Z [2023-07-07 20:02:25,269] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8748444Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8748456Z 2023-07-07T20:05:31.8748771Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8749225Z - self: 2023-07-07T20:05:31.8749590Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8749787Z - aten_name: 2023-07-07T20:05:31.8750018Z - function_overloads: 2023-07-07T20:05:31.8750219Z - onnx_args: 2023-07-07T20:05:31.8750423Z - onnx_kwargs: 2023-07-07T20:05:31.8750953Z - diagnostic_context: 2023-07-07T20:05:31.8751320Z - Return value: 2023-07-07T20:05:31.8751804Z [2023-07-07 20:02:25,283] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:31.8752049Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8752395Z [2023-07-07 20:02:25,283] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8752520Z ### Exception log 2023-07-07T20:05:31.8752626Z ``` 2023-07-07T20:05:31.8752786Z Traceback (most recent call last): 2023-07-07T20:05:31.8752797Z 2023-07-07T20:05:31.8753377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8753586Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8753597Z 2023-07-07T20:05:31.8754035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8754195Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8754203Z 2023-07-07T20:05:31.8754838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8755009Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8755018Z 2023-07-07T20:05:31.8755472Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8755705Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8755713Z 2023-07-07T20:05:31.8756190Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8756458Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8756471Z 2023-07-07T20:05:31.8757044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8757177Z result = op.Conv( 2023-07-07T20:05:31.8757185Z 2023-07-07T20:05:31.8757669Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8757790Z return op( 2023-07-07T20:05:31.8757849Z 2023-07-07T20:05:31.8758336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8758554Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8758563Z 2023-07-07T20:05:31.8759015Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8759242Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8759285Z 2023-07-07T20:05:31.8759743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8759953Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8759961Z 2023-07-07T20:05:31.8760426Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8760714Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8760739Z 2023-07-07T20:05:31.8761173Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8761330Z node.attribute.extend( 2023-07-07T20:05:31.8761338Z 2023-07-07T20:05:31.8761778Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8761925Z make_attribute(key, value) 2023-07-07T20:05:31.8761936Z 2023-07-07T20:05:31.8762390Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8762526Z raise ValueError( 2023-07-07T20:05:31.8762535Z 2023-07-07T20:05:31.8762837Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8762846Z 2023-07-07T20:05:31.8762950Z ``` 2023-07-07T20:05:31.8763154Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8763673Z - diagnostic_context: 2023-07-07T20:05:31.8764053Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8764518Z - symbolic_fn: 2023-07-07T20:05:31.8764723Z - torch_args: 2023-07-07T20:05:31.8764929Z - torch_kwargs: 2023-07-07T20:05:31.8765150Z - Return value: 2023-07-07T20:05:31.8765670Z [2023-07-07 20:02:25,291] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_8]. 2023-07-07T20:05:31.8765917Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8765942Z 2023-07-07T20:05:31.8766272Z [2023-07-07 20:02:25,291] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8766621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8766632Z 2023-07-07T20:05:31.8766949Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8767419Z - self: 2023-07-07T20:05:31.8767814Z - node: fx.Node(native_batch_norm_8[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8768006Z - aten_name: 2023-07-07T20:05:31.8768295Z - function_overloads: 2023-07-07T20:05:31.8768497Z - onnx_args: 2023-07-07T20:05:31.8768690Z - onnx_kwargs: 2023-07-07T20:05:31.8769224Z - diagnostic_context: 2023-07-07T20:05:31.8769591Z - Return value: 2023-07-07T20:05:31.8770102Z [2023-07-07 20:02:25,309] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_8]. 2023-07-07T20:05:31.8770356Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8770727Z [2023-07-07 20:02:25,309] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8770901Z ### Exception log 2023-07-07T20:05:31.8770989Z ``` 2023-07-07T20:05:31.8771155Z Traceback (most recent call last): 2023-07-07T20:05:31.8771163Z 2023-07-07T20:05:31.8771744Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8771909Z torch.testing.assert_close( 2023-07-07T20:05:31.8771957Z 2023-07-07T20:05:31.8772457Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8772615Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8772624Z 2023-07-07T20:05:31.8772891Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8772900Z 2023-07-07T20:05:31.8773063Z Mismatched elements: 11760 / 18816 (62.5%) 2023-07-07T20:05:31.8773306Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8773535Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8773558Z 2023-07-07T20:05:31.8773646Z ``` 2023-07-07T20:05:31.8773852Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8774392Z - diagnostic_context: 2023-07-07T20:05:31.8774786Z - node: fx.Node(native_batch_norm_8[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8775155Z - symbolic_fn: 2023-07-07T20:05:31.8775361Z - torch_args: 2023-07-07T20:05:31.8775565Z - torch_kwargs: 2023-07-07T20:05:31.8775775Z - Return value: 2023-07-07T20:05:31.8776208Z [2023-07-07 20:02:25,323] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_1]. 2023-07-07T20:05:31.8776428Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8776439Z 2023-07-07T20:05:31.8776784Z [2023-07-07 20:02:25,323] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8777130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8777139Z 2023-07-07T20:05:31.8777466Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8777935Z - self: 2023-07-07T20:05:31.8778234Z - node: fx.Node(cat_1[call_function]'aten.cat.default') 2023-07-07T20:05:31.8778428Z - aten_name: 2023-07-07T20:05:31.8778642Z - function_overloads: 2023-07-07T20:05:31.8778835Z - onnx_args: 2023-07-07T20:05:31.8779033Z - onnx_kwargs: 2023-07-07T20:05:31.8779569Z - diagnostic_context: 2023-07-07T20:05:31.8779815Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.8780277Z [2023-07-07 20:02:25,334] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:31.8780517Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8780526Z 2023-07-07T20:05:31.8780847Z [2023-07-07 20:02:25,334] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8781232Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8781244Z 2023-07-07T20:05:31.8781557Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8782030Z - self: 2023-07-07T20:05:31.8782369Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:31.8782565Z - aten_name: 2023-07-07T20:05:31.8782827Z - function_overloads: 2023-07-07T20:05:31.8783029Z - onnx_args: 2023-07-07T20:05:31.8783248Z - onnx_kwargs: 2023-07-07T20:05:31.8783784Z - diagnostic_context: 2023-07-07T20:05:31.8784152Z - Return value: 2023-07-07T20:05:31.8784597Z [2023-07-07 20:02:25,338] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:31.8784857Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8784866Z 2023-07-07T20:05:31.8785202Z [2023-07-07 20:02:25,338] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8785548Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8785556Z 2023-07-07T20:05:31.8785871Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8786339Z - self: 2023-07-07T20:05:31.8786646Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:31.8786842Z - aten_name: 2023-07-07T20:05:31.8787069Z - function_overloads: 2023-07-07T20:05:31.8787266Z - onnx_args: 2023-07-07T20:05:31.8787468Z - onnx_kwargs: 2023-07-07T20:05:31.8787999Z - diagnostic_context: 2023-07-07T20:05:31.8788256Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.8788685Z [2023-07-07 20:02:25,360] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:31.8788915Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8788924Z 2023-07-07T20:05:31.8789262Z [2023-07-07 20:02:25,360] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8789613Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8789625Z 2023-07-07T20:05:31.8789937Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8790405Z - self: 2023-07-07T20:05:31.8790719Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.8790910Z - aten_name: 2023-07-07T20:05:31.8791141Z - function_overloads: 2023-07-07T20:05:31.8791325Z - onnx_args: 2023-07-07T20:05:31.8791522Z - onnx_kwargs: 2023-07-07T20:05:31.8792053Z - diagnostic_context: 2023-07-07T20:05:31.8792309Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.8792783Z [2023-07-07 20:02:25,365] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_31]. 2023-07-07T20:05:31.8793017Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8793031Z 2023-07-07T20:05:31.8793369Z [2023-07-07 20:02:25,365] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8793720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8793730Z 2023-07-07T20:05:31.8794066Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8794529Z - self: 2023-07-07T20:05:31.8794953Z - node: fx.Node(getitem_31[call_function]'') 2023-07-07T20:05:31.8795150Z - aten_name: 2023-07-07T20:05:31.8795379Z - function_overloads: 2023-07-07T20:05:31.8795578Z - onnx_args: 2023-07-07T20:05:31.8795783Z - onnx_kwargs: 2023-07-07T20:05:31.8796357Z - diagnostic_context: 2023-07-07T20:05:31.8796639Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.8797119Z [2023-07-07 20:02:25,366] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_32]. 2023-07-07T20:05:31.8797353Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8797364Z 2023-07-07T20:05:31.8797702Z [2023-07-07 20:02:25,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8798092Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8798102Z 2023-07-07T20:05:31.8798414Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8798889Z - self: 2023-07-07T20:05:31.8799243Z - node: fx.Node(getitem_32[call_function]'') 2023-07-07T20:05:31.8799435Z - aten_name: 2023-07-07T20:05:31.8799656Z - function_overloads: 2023-07-07T20:05:31.8799851Z - onnx_args: 2023-07-07T20:05:31.8800053Z - onnx_kwargs: 2023-07-07T20:05:31.8800586Z - diagnostic_context: 2023-07-07T20:05:31.8800851Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.8801348Z [2023-07-07 20:02:25,368] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.8801592Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8801601Z 2023-07-07T20:05:31.8801925Z [2023-07-07 20:02:25,368] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8802275Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8802286Z 2023-07-07T20:05:31.8802603Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8803069Z - self: 2023-07-07T20:05:31.8803441Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8803632Z - aten_name: 2023-07-07T20:05:31.8803858Z - function_overloads: 2023-07-07T20:05:31.8804064Z - onnx_args: 2023-07-07T20:05:31.8804252Z - onnx_kwargs: 2023-07-07T20:05:31.8804872Z - diagnostic_context: 2023-07-07T20:05:31.8805243Z - Return value: 2023-07-07T20:05:31.8805737Z [2023-07-07 20:02:25,375] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:31.8805987Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8806337Z [2023-07-07 20:02:25,375] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8806468Z ### Exception log 2023-07-07T20:05:31.8806574Z ``` 2023-07-07T20:05:31.8806724Z Traceback (most recent call last): 2023-07-07T20:05:31.8806733Z 2023-07-07T20:05:31.8807375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8807591Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8807601Z 2023-07-07T20:05:31.8808051Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8808212Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8808220Z 2023-07-07T20:05:31.8808782Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8808989Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8808997Z 2023-07-07T20:05:31.8809489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8809724Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8809733Z 2023-07-07T20:05:31.8810218Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8810435Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8810485Z 2023-07-07T20:05:31.8811066Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8811194Z result = op.Conv( 2023-07-07T20:05:31.8811201Z 2023-07-07T20:05:31.8811698Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8811820Z return op( 2023-07-07T20:05:31.8811828Z 2023-07-07T20:05:31.8812278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8812492Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8812502Z 2023-07-07T20:05:31.8812956Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8813180Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8813195Z 2023-07-07T20:05:31.8813656Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8813850Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8813858Z 2023-07-07T20:05:31.8814330Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8814629Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8814640Z 2023-07-07T20:05:31.8815087Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8815242Z node.attribute.extend( 2023-07-07T20:05:31.8815253Z 2023-07-07T20:05:31.8815697Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8815850Z make_attribute(key, value) 2023-07-07T20:05:31.8815858Z 2023-07-07T20:05:31.8816314Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8816446Z raise ValueError( 2023-07-07T20:05:31.8816454Z 2023-07-07T20:05:31.8816738Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8816759Z 2023-07-07T20:05:31.8816850Z ``` 2023-07-07T20:05:31.8817060Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8817594Z - diagnostic_context: 2023-07-07T20:05:31.8817966Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8818335Z - symbolic_fn: 2023-07-07T20:05:31.8818536Z - torch_args: 2023-07-07T20:05:31.8818739Z - torch_kwargs: 2023-07-07T20:05:31.8818980Z - Return value: 2023-07-07T20:05:31.8819501Z [2023-07-07 20:02:25,381] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_9]. 2023-07-07T20:05:31.8819761Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8819770Z 2023-07-07T20:05:31.8820109Z [2023-07-07 20:02:25,382] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8820458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8820507Z 2023-07-07T20:05:31.8820824Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8821324Z - self: 2023-07-07T20:05:31.8821718Z - node: fx.Node(native_batch_norm_9[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8821912Z - aten_name: 2023-07-07T20:05:31.8822130Z - function_overloads: 2023-07-07T20:05:31.8822363Z - onnx_args: 2023-07-07T20:05:31.8822563Z - onnx_kwargs: 2023-07-07T20:05:31.8823102Z - diagnostic_context: 2023-07-07T20:05:31.8823469Z - Return value: 2023-07-07T20:05:31.8823984Z [2023-07-07 20:02:25,387] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_9]. 2023-07-07T20:05:31.8824243Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8824552Z [2023-07-07 20:02:25,387] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8824680Z ### Exception log 2023-07-07T20:05:31.8824782Z ``` 2023-07-07T20:05:31.8824943Z Traceback (most recent call last): 2023-07-07T20:05:31.8824952Z 2023-07-07T20:05:31.8825546Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8825713Z torch.testing.assert_close( 2023-07-07T20:05:31.8825721Z 2023-07-07T20:05:31.8826216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8826372Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8826380Z 2023-07-07T20:05:31.8826649Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8826657Z 2023-07-07T20:05:31.8826808Z Mismatched elements: 10192 / 18816 (54.2%) 2023-07-07T20:05:31.8827044Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8827285Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8827294Z 2023-07-07T20:05:31.8827394Z ``` 2023-07-07T20:05:31.8827603Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8828137Z - diagnostic_context: 2023-07-07T20:05:31.8828530Z - node: fx.Node(native_batch_norm_9[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8828896Z - symbolic_fn: 2023-07-07T20:05:31.8829084Z - torch_args: 2023-07-07T20:05:31.8829291Z - torch_kwargs: 2023-07-07T20:05:31.8829514Z - Return value: 2023-07-07T20:05:31.8830014Z [2023-07-07 20:02:25,400] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.8830262Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8830270Z 2023-07-07T20:05:31.8830610Z [2023-07-07 20:02:25,400] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8830954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8830963Z 2023-07-07T20:05:31.8831313Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8831783Z - self: 2023-07-07T20:05:31.8832139Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8832337Z - aten_name: 2023-07-07T20:05:31.8832562Z - function_overloads: 2023-07-07T20:05:31.8832764Z - onnx_args: 2023-07-07T20:05:31.8832966Z - onnx_kwargs: 2023-07-07T20:05:31.8833499Z - diagnostic_context: 2023-07-07T20:05:31.8833942Z - Return value: 2023-07-07T20:05:31.8834433Z [2023-07-07 20:02:25,407] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:31.8834746Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8835100Z [2023-07-07 20:02:25,407] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8835291Z ### Exception log 2023-07-07T20:05:31.8835395Z ``` 2023-07-07T20:05:31.8835559Z Traceback (most recent call last): 2023-07-07T20:05:31.8835569Z 2023-07-07T20:05:31.8836159Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8836369Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8836378Z 2023-07-07T20:05:31.8836819Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8836980Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8836988Z 2023-07-07T20:05:31.8837543Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8837706Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8837718Z 2023-07-07T20:05:31.8838169Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8838404Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8838412Z 2023-07-07T20:05:31.8838900Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8839129Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8839138Z 2023-07-07T20:05:31.8839710Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8839848Z result = op.Conv( 2023-07-07T20:05:31.8839857Z 2023-07-07T20:05:31.8840341Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8840456Z return op( 2023-07-07T20:05:31.8840464Z 2023-07-07T20:05:31.8840921Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8841140Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8841148Z 2023-07-07T20:05:31.8841601Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8841823Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8841831Z 2023-07-07T20:05:31.8842281Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8842497Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8842508Z 2023-07-07T20:05:31.8842980Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8843279Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8843287Z 2023-07-07T20:05:31.8843752Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8843905Z node.attribute.extend( 2023-07-07T20:05:31.8843914Z 2023-07-07T20:05:31.8844350Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8844625Z make_attribute(key, value) 2023-07-07T20:05:31.8844635Z 2023-07-07T20:05:31.8845099Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8845305Z raise ValueError( 2023-07-07T20:05:31.8845313Z 2023-07-07T20:05:31.8845647Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8845656Z 2023-07-07T20:05:31.8845763Z ``` 2023-07-07T20:05:31.8845973Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8846496Z - diagnostic_context: 2023-07-07T20:05:31.8846873Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8847283Z - symbolic_fn: 2023-07-07T20:05:31.8847483Z - torch_args: 2023-07-07T20:05:31.8847691Z - torch_kwargs: 2023-07-07T20:05:31.8847916Z - Return value: 2023-07-07T20:05:31.8848441Z [2023-07-07 20:02:25,413] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_10]. 2023-07-07T20:05:31.8848700Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8848709Z 2023-07-07T20:05:31.8849039Z [2023-07-07 20:02:25,414] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8849388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8849396Z 2023-07-07T20:05:31.8849715Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8850184Z - self: 2023-07-07T20:05:31.8850579Z - node: fx.Node(native_batch_norm_10[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8850772Z - aten_name: 2023-07-07T20:05:31.8850999Z - function_overloads: 2023-07-07T20:05:31.8851197Z - onnx_args: 2023-07-07T20:05:31.8851383Z - onnx_kwargs: 2023-07-07T20:05:31.8851924Z - diagnostic_context: 2023-07-07T20:05:31.8852295Z - Return value: 2023-07-07T20:05:31.8852817Z [2023-07-07 20:02:25,419] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_10]. 2023-07-07T20:05:31.8853072Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8853397Z [2023-07-07 20:02:25,419] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8853524Z ### Exception log 2023-07-07T20:05:31.8853627Z ``` 2023-07-07T20:05:31.8853778Z Traceback (most recent call last): 2023-07-07T20:05:31.8853786Z 2023-07-07T20:05:31.8854365Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8854527Z torch.testing.assert_close( 2023-07-07T20:05:31.8854535Z 2023-07-07T20:05:31.8855036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8855198Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8855209Z 2023-07-07T20:05:31.8855476Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8855485Z 2023-07-07T20:05:31.8855649Z Mismatched elements: 9408 / 18816 (50.0%) 2023-07-07T20:05:31.8855932Z Greatest absolute difference: nan at index (0, 4, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8856170Z Greatest relative difference: nan at index (0, 4, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8856181Z 2023-07-07T20:05:31.8856269Z ``` 2023-07-07T20:05:31.8856471Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8857008Z - diagnostic_context: 2023-07-07T20:05:31.8857402Z - node: fx.Node(native_batch_norm_10[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8857765Z - symbolic_fn: 2023-07-07T20:05:31.8858008Z - torch_args: 2023-07-07T20:05:31.8858244Z - torch_kwargs: 2023-07-07T20:05:31.8858451Z - Return value: 2023-07-07T20:05:31.8858954Z [2023-07-07 20:02:25,421] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.8859206Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8859215Z 2023-07-07T20:05:31.8859552Z [2023-07-07 20:02:25,421] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8859932Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8859941Z 2023-07-07T20:05:31.8860261Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8860730Z - self: 2023-07-07T20:05:31.8861108Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8861305Z - aten_name: 2023-07-07T20:05:31.8861520Z - function_overloads: 2023-07-07T20:05:31.8861718Z - onnx_args: 2023-07-07T20:05:31.8861922Z - onnx_kwargs: 2023-07-07T20:05:31.8862443Z - diagnostic_context: 2023-07-07T20:05:31.8862815Z - Return value: 2023-07-07T20:05:31.8863318Z [2023-07-07 20:02:25,426] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:31.8863561Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8863900Z [2023-07-07 20:02:25,426] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8864010Z ### Exception log 2023-07-07T20:05:31.8864110Z ``` 2023-07-07T20:05:31.8864273Z Traceback (most recent call last): 2023-07-07T20:05:31.8864284Z 2023-07-07T20:05:31.8864870Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8865076Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8865085Z 2023-07-07T20:05:31.8865546Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8865701Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8865715Z 2023-07-07T20:05:31.8866272Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8866418Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8866440Z 2023-07-07T20:05:31.8866875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8867110Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8867121Z 2023-07-07T20:05:31.8867604Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8867839Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8867846Z 2023-07-07T20:05:31.8868458Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8868589Z result = op.Conv( 2023-07-07T20:05:31.8868600Z 2023-07-07T20:05:31.8869102Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8869223Z return op( 2023-07-07T20:05:31.8869232Z 2023-07-07T20:05:31.8869686Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8869890Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8869941Z 2023-07-07T20:05:31.8870432Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8870660Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8870668Z 2023-07-07T20:05:31.8871132Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8871346Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8871392Z 2023-07-07T20:05:31.8871862Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8872162Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8872170Z 2023-07-07T20:05:31.8872614Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8872762Z node.attribute.extend( 2023-07-07T20:05:31.8872774Z 2023-07-07T20:05:31.8873217Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8873354Z make_attribute(key, value) 2023-07-07T20:05:31.8873362Z 2023-07-07T20:05:31.8873819Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8873946Z raise ValueError( 2023-07-07T20:05:31.8873954Z 2023-07-07T20:05:31.8874254Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8874265Z 2023-07-07T20:05:31.8874369Z ``` 2023-07-07T20:05:31.8874573Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8875184Z - diagnostic_context: 2023-07-07T20:05:31.8875557Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8875909Z - symbolic_fn: 2023-07-07T20:05:31.8876116Z - torch_args: 2023-07-07T20:05:31.8876326Z - torch_kwargs: 2023-07-07T20:05:31.8876550Z - Return value: 2023-07-07T20:05:31.8877066Z [2023-07-07 20:02:25,431] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_11]. 2023-07-07T20:05:31.8877325Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8877338Z 2023-07-07T20:05:31.8877671Z [2023-07-07 20:02:25,431] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8878021Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8878030Z 2023-07-07T20:05:31.8878343Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8878800Z - self: 2023-07-07T20:05:31.8879195Z - node: fx.Node(native_batch_norm_11[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8879387Z - aten_name: 2023-07-07T20:05:31.8879619Z - function_overloads: 2023-07-07T20:05:31.8879817Z - onnx_args: 2023-07-07T20:05:31.8880020Z - onnx_kwargs: 2023-07-07T20:05:31.8880581Z - diagnostic_context: 2023-07-07T20:05:31.8880938Z - Return value: 2023-07-07T20:05:31.8881461Z [2023-07-07 20:02:25,435] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_11]. 2023-07-07T20:05:31.8881713Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8882036Z [2023-07-07 20:02:25,435] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8882165Z ### Exception log 2023-07-07T20:05:31.8882270Z ``` 2023-07-07T20:05:31.8882433Z Traceback (most recent call last): 2023-07-07T20:05:31.8882476Z 2023-07-07T20:05:31.8883104Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8883254Z torch.testing.assert_close( 2023-07-07T20:05:31.8883278Z 2023-07-07T20:05:31.8883767Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8883930Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8883983Z 2023-07-07T20:05:31.8884250Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8884259Z 2023-07-07T20:05:31.8885819Z Mismatched elements: 9408 / 18816 (50.0%) 2023-07-07T20:05:31.8886117Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8886357Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8886366Z 2023-07-07T20:05:31.8886469Z ``` 2023-07-07T20:05:31.8886681Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8887236Z - diagnostic_context: 2023-07-07T20:05:31.8887630Z - node: fx.Node(native_batch_norm_11[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8887993Z - symbolic_fn: 2023-07-07T20:05:31.8888200Z - torch_args: 2023-07-07T20:05:31.8888401Z - torch_kwargs: 2023-07-07T20:05:31.8888632Z - Return value: 2023-07-07T20:05:31.8889065Z [2023-07-07 20:02:25,447] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_2]. 2023-07-07T20:05:31.8889287Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8889296Z 2023-07-07T20:05:31.8889617Z [2023-07-07 20:02:25,447] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8889963Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8889975Z 2023-07-07T20:05:31.8890298Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8890760Z - self: 2023-07-07T20:05:31.8891055Z - node: fx.Node(cat_2[call_function]'aten.cat.default') 2023-07-07T20:05:31.8891254Z - aten_name: 2023-07-07T20:05:31.8891485Z - function_overloads: 2023-07-07T20:05:31.8891686Z - onnx_args: 2023-07-07T20:05:31.8891873Z - onnx_kwargs: 2023-07-07T20:05:31.8892403Z - diagnostic_context: 2023-07-07T20:05:31.8892654Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.8893118Z [2023-07-07 20:02:25,453] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_2]. 2023-07-07T20:05:31.8893366Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8893375Z 2023-07-07T20:05:31.8893714Z [2023-07-07 20:02:25,453] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8894060Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8894070Z 2023-07-07T20:05:31.8894487Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8894956Z - self: 2023-07-07T20:05:31.8895282Z - node: fx.Node(transpose_2[call_function]'aten.transpose.int') 2023-07-07T20:05:31.8895476Z - aten_name: 2023-07-07T20:05:31.8895704Z - function_overloads: 2023-07-07T20:05:31.8895900Z - onnx_args: 2023-07-07T20:05:31.8896102Z - onnx_kwargs: 2023-07-07T20:05:31.8896639Z - diagnostic_context: 2023-07-07T20:05:31.8897062Z - Return value: 2023-07-07T20:05:31.8897535Z [2023-07-07 20:02:25,457] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_2]. 2023-07-07T20:05:31.8897766Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8897775Z 2023-07-07T20:05:31.8898116Z [2023-07-07 20:02:25,457] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8898458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8898511Z 2023-07-07T20:05:31.8898825Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8899291Z - self: 2023-07-07T20:05:31.8899605Z - node: fx.Node(clone_2[call_function]'aten.clone.default') 2023-07-07T20:05:31.8899802Z - aten_name: 2023-07-07T20:05:31.8900024Z - function_overloads: 2023-07-07T20:05:31.8900207Z - onnx_args: 2023-07-07T20:05:31.8900409Z - onnx_kwargs: 2023-07-07T20:05:31.8900937Z - diagnostic_context: 2023-07-07T20:05:31.8901193Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.8901634Z [2023-07-07 20:02:25,463] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_2]. 2023-07-07T20:05:31.8901869Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8901877Z 2023-07-07T20:05:31.8902216Z [2023-07-07 20:02:25,463] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8902560Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8902569Z 2023-07-07T20:05:31.8902868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8903333Z - self: 2023-07-07T20:05:31.8903651Z - node: fx.Node(split_2[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.8903842Z - aten_name: 2023-07-07T20:05:31.8904070Z - function_overloads: 2023-07-07T20:05:31.8904269Z - onnx_args: 2023-07-07T20:05:31.8904473Z - onnx_kwargs: 2023-07-07T20:05:31.8904986Z - diagnostic_context: 2023-07-07T20:05:31.8905246Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.8905716Z [2023-07-07 20:02:25,466] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_42]. 2023-07-07T20:05:31.8905948Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8905956Z 2023-07-07T20:05:31.8906297Z [2023-07-07 20:02:25,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8906657Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8906668Z 2023-07-07T20:05:31.8906980Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8907445Z - self: 2023-07-07T20:05:31.8907828Z - node: fx.Node(getitem_42[call_function]'') 2023-07-07T20:05:31.8908016Z - aten_name: 2023-07-07T20:05:31.8908242Z - function_overloads: 2023-07-07T20:05:31.8908436Z - onnx_args: 2023-07-07T20:05:31.8908638Z - onnx_kwargs: 2023-07-07T20:05:31.8909168Z - diagnostic_context: 2023-07-07T20:05:31.8909433Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.8909902Z [2023-07-07 20:02:25,468] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_43]. 2023-07-07T20:05:31.8910199Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8910209Z 2023-07-07T20:05:31.8910531Z [2023-07-07 20:02:25,468] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8910879Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8910890Z 2023-07-07T20:05:31.8911234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8911697Z - self: 2023-07-07T20:05:31.8912044Z - node: fx.Node(getitem_43[call_function]'') 2023-07-07T20:05:31.8912240Z - aten_name: 2023-07-07T20:05:31.8912468Z - function_overloads: 2023-07-07T20:05:31.8912669Z - onnx_args: 2023-07-07T20:05:31.8912859Z - onnx_kwargs: 2023-07-07T20:05:31.8913389Z - diagnostic_context: 2023-07-07T20:05:31.8913651Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.8914147Z [2023-07-07 20:02:25,469] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.8914396Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8914406Z 2023-07-07T20:05:31.8914830Z [2023-07-07 20:02:25,469] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8915176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8915185Z 2023-07-07T20:05:31.8915496Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8915959Z - self: 2023-07-07T20:05:31.8916322Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8916521Z - aten_name: 2023-07-07T20:05:31.8916751Z - function_overloads: 2023-07-07T20:05:31.8916952Z - onnx_args: 2023-07-07T20:05:31.8917152Z - onnx_kwargs: 2023-07-07T20:05:31.8917682Z - diagnostic_context: 2023-07-07T20:05:31.8918050Z - Return value: 2023-07-07T20:05:31.8918535Z [2023-07-07 20:02:25,475] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:31.8918782Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8919132Z [2023-07-07 20:02:25,475] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8919262Z ### Exception log 2023-07-07T20:05:31.8919366Z ``` 2023-07-07T20:05:31.8919527Z Traceback (most recent call last): 2023-07-07T20:05:31.8919536Z 2023-07-07T20:05:31.8928724Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8928986Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8928997Z 2023-07-07T20:05:31.8929603Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8929773Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8929782Z 2023-07-07T20:05:31.8930357Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8930510Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8930519Z 2023-07-07T20:05:31.8930976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8931265Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8931274Z 2023-07-07T20:05:31.8931808Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8932047Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8932055Z 2023-07-07T20:05:31.8932642Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8932824Z result = op.Conv( 2023-07-07T20:05:31.8932833Z 2023-07-07T20:05:31.8933334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8933456Z return op( 2023-07-07T20:05:31.8933464Z 2023-07-07T20:05:31.8933930Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8934133Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8934145Z 2023-07-07T20:05:31.8934606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8934829Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8934837Z 2023-07-07T20:05:31.8935301Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8935517Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8935528Z 2023-07-07T20:05:31.8936005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8936308Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8936317Z 2023-07-07T20:05:31.8936763Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8936922Z node.attribute.extend( 2023-07-07T20:05:31.8936931Z 2023-07-07T20:05:31.8937369Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8937524Z make_attribute(key, value) 2023-07-07T20:05:31.8937532Z 2023-07-07T20:05:31.8937992Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8938130Z raise ValueError( 2023-07-07T20:05:31.8938139Z 2023-07-07T20:05:31.8938439Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8938450Z 2023-07-07T20:05:31.8938555Z ``` 2023-07-07T20:05:31.8938767Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8939302Z - diagnostic_context: 2023-07-07T20:05:31.8939681Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8940034Z - symbolic_fn: 2023-07-07T20:05:31.8940245Z - torch_args: 2023-07-07T20:05:31.8940467Z - torch_kwargs: 2023-07-07T20:05:31.8940694Z - Return value: 2023-07-07T20:05:31.8941230Z [2023-07-07 20:02:25,480] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_12]. 2023-07-07T20:05:31.8941525Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8941535Z 2023-07-07T20:05:31.8941886Z [2023-07-07 20:02:25,480] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8942239Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8942249Z 2023-07-07T20:05:31.8942548Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8943019Z - self: 2023-07-07T20:05:31.8943463Z - node: fx.Node(native_batch_norm_12[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8943724Z - aten_name: 2023-07-07T20:05:31.8943964Z - function_overloads: 2023-07-07T20:05:31.8944165Z - onnx_args: 2023-07-07T20:05:31.8944369Z - onnx_kwargs: 2023-07-07T20:05:31.8944908Z - diagnostic_context: 2023-07-07T20:05:31.8945294Z - Return value: 2023-07-07T20:05:31.8945818Z [2023-07-07 20:02:25,484] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_12]. 2023-07-07T20:05:31.8946074Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8946397Z [2023-07-07 20:02:25,484] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8946530Z ### Exception log 2023-07-07T20:05:31.8946643Z ``` 2023-07-07T20:05:31.8946812Z Traceback (most recent call last): 2023-07-07T20:05:31.8946821Z 2023-07-07T20:05:31.8947408Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8947557Z torch.testing.assert_close( 2023-07-07T20:05:31.8947565Z 2023-07-07T20:05:31.8948073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8948236Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8948244Z 2023-07-07T20:05:31.8948518Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8948527Z 2023-07-07T20:05:31.8948696Z Mismatched elements: 8624 / 18816 (45.8%) 2023-07-07T20:05:31.8948943Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8949186Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8949200Z 2023-07-07T20:05:31.8949311Z ``` 2023-07-07T20:05:31.8949521Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8950043Z - diagnostic_context: 2023-07-07T20:05:31.8950445Z - node: fx.Node(native_batch_norm_12[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8950811Z - symbolic_fn: 2023-07-07T20:05:31.8951025Z - torch_args: 2023-07-07T20:05:31.8951237Z - torch_kwargs: 2023-07-07T20:05:31.8951461Z - Return value: 2023-07-07T20:05:31.8951971Z [2023-07-07 20:02:25,495] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.8952207Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8952234Z 2023-07-07T20:05:31.8952560Z [2023-07-07 20:02:25,495] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8952910Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8952924Z 2023-07-07T20:05:31.8953242Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8953717Z - self: 2023-07-07T20:05:31.8954132Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8954331Z - aten_name: 2023-07-07T20:05:31.8954564Z - function_overloads: 2023-07-07T20:05:31.8954866Z - onnx_args: 2023-07-07T20:05:31.8955055Z - onnx_kwargs: 2023-07-07T20:05:31.8955597Z - diagnostic_context: 2023-07-07T20:05:31.8955969Z - Return value: 2023-07-07T20:05:31.8956471Z [2023-07-07 20:02:25,500] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:31.8956799Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8957151Z [2023-07-07 20:02:25,500] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8957277Z ### Exception log 2023-07-07T20:05:31.8957370Z ``` 2023-07-07T20:05:31.8957538Z Traceback (most recent call last): 2023-07-07T20:05:31.8957547Z 2023-07-07T20:05:31.8958129Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8958374Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8958383Z 2023-07-07T20:05:31.8958841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8959004Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8959013Z 2023-07-07T20:05:31.8959580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8959751Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8959760Z 2023-07-07T20:05:31.8960207Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8960449Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8960460Z 2023-07-07T20:05:31.8960927Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8961162Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8961170Z 2023-07-07T20:05:31.8961749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8961883Z result = op.Conv( 2023-07-07T20:05:31.8961891Z 2023-07-07T20:05:31.8962398Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8962523Z return op( 2023-07-07T20:05:31.8962531Z 2023-07-07T20:05:31.8962985Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8963205Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8963214Z 2023-07-07T20:05:31.8963673Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8963884Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8963909Z 2023-07-07T20:05:31.8964360Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8964708Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8964718Z 2023-07-07T20:05:31.8965197Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8965509Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8965517Z 2023-07-07T20:05:31.8965961Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8966123Z node.attribute.extend( 2023-07-07T20:05:31.8966132Z 2023-07-07T20:05:31.8966646Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8966802Z make_attribute(key, value) 2023-07-07T20:05:31.8966810Z 2023-07-07T20:05:31.8967268Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8967391Z raise ValueError( 2023-07-07T20:05:31.8967416Z 2023-07-07T20:05:31.8967702Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8967711Z 2023-07-07T20:05:31.8967858Z ``` 2023-07-07T20:05:31.8968071Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8968644Z - diagnostic_context: 2023-07-07T20:05:31.8969031Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8969397Z - symbolic_fn: 2023-07-07T20:05:31.8969608Z - torch_args: 2023-07-07T20:05:31.8969800Z - torch_kwargs: 2023-07-07T20:05:31.8970068Z - Return value: 2023-07-07T20:05:31.8970602Z [2023-07-07 20:02:25,506] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_13]. 2023-07-07T20:05:31.8970861Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8970869Z 2023-07-07T20:05:31.8971215Z [2023-07-07 20:02:25,506] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8971569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8971577Z 2023-07-07T20:05:31.8971901Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8972374Z - self: 2023-07-07T20:05:31.8972775Z - node: fx.Node(native_batch_norm_13[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8972956Z - aten_name: 2023-07-07T20:05:31.8973190Z - function_overloads: 2023-07-07T20:05:31.8973390Z - onnx_args: 2023-07-07T20:05:31.8973593Z - onnx_kwargs: 2023-07-07T20:05:31.8974123Z - diagnostic_context: 2023-07-07T20:05:31.8974494Z - Return value: 2023-07-07T20:05:31.8975012Z [2023-07-07 20:02:25,510] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_13]. 2023-07-07T20:05:31.8975276Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8975586Z [2023-07-07 20:02:25,510] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.8975715Z ### Exception log 2023-07-07T20:05:31.8975822Z ``` 2023-07-07T20:05:31.8975996Z Traceback (most recent call last): 2023-07-07T20:05:31.8976008Z 2023-07-07T20:05:31.8976588Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.8976753Z torch.testing.assert_close( 2023-07-07T20:05:31.8976762Z 2023-07-07T20:05:31.8977250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.8977410Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.8977418Z 2023-07-07T20:05:31.8977688Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.8977699Z 2023-07-07T20:05:31.8977862Z Mismatched elements: 5488 / 18816 (29.2%) 2023-07-07T20:05:31.8978100Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.8978340Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.8978348Z 2023-07-07T20:05:31.8978450Z ``` 2023-07-07T20:05:31.8978697Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8979219Z - diagnostic_context: 2023-07-07T20:05:31.8979612Z - node: fx.Node(native_batch_norm_13[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.8979981Z - symbolic_fn: 2023-07-07T20:05:31.8980182Z - torch_args: 2023-07-07T20:05:31.8980390Z - torch_kwargs: 2023-07-07T20:05:31.8980613Z - Return value: 2023-07-07T20:05:31.8981148Z [2023-07-07 20:02:25,512] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.8981425Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8981435Z 2023-07-07T20:05:31.8981763Z [2023-07-07 20:02:25,512] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.8982113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.8982122Z 2023-07-07T20:05:31.8982483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.8982947Z - self: 2023-07-07T20:05:31.8983323Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8983519Z - aten_name: 2023-07-07T20:05:31.8983747Z - function_overloads: 2023-07-07T20:05:31.8983951Z - onnx_args: 2023-07-07T20:05:31.8984138Z - onnx_kwargs: 2023-07-07T20:05:31.8984668Z - diagnostic_context: 2023-07-07T20:05:31.8985037Z - Return value: 2023-07-07T20:05:31.8985532Z [2023-07-07 20:02:25,516] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:31.8985784Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8986131Z [2023-07-07 20:02:25,516] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.8986256Z ### Exception log 2023-07-07T20:05:31.8986362Z ``` 2023-07-07T20:05:31.8986512Z Traceback (most recent call last): 2023-07-07T20:05:31.8986521Z 2023-07-07T20:05:31.8987095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.8987306Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.8987315Z 2023-07-07T20:05:31.8987762Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.8987923Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.8987931Z 2023-07-07T20:05:31.8988491Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.8988654Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.8988665Z 2023-07-07T20:05:31.8989115Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.8989351Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.8989360Z 2023-07-07T20:05:31.8989841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.8990059Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.8990072Z 2023-07-07T20:05:31.8990657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.8990785Z result = op.Conv( 2023-07-07T20:05:31.8990794Z 2023-07-07T20:05:31.8991334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.8991458Z return op( 2023-07-07T20:05:31.8991470Z 2023-07-07T20:05:31.8991923Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.8992137Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.8992147Z 2023-07-07T20:05:31.8992602Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.8992824Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8992870Z 2023-07-07T20:05:31.8993361Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.8993561Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.8993570Z 2023-07-07T20:05:31.8994036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.8994339Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.8994389Z 2023-07-07T20:05:31.8994907Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.8995064Z node.attribute.extend( 2023-07-07T20:05:31.8995075Z 2023-07-07T20:05:31.8995529Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.8995681Z make_attribute(key, value) 2023-07-07T20:05:31.8995689Z 2023-07-07T20:05:31.8996152Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.8996287Z raise ValueError( 2023-07-07T20:05:31.8996295Z 2023-07-07T20:05:31.8996581Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.8996603Z 2023-07-07T20:05:31.8996696Z ``` 2023-07-07T20:05:31.8996911Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.8997445Z - diagnostic_context: 2023-07-07T20:05:31.8997819Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:31.8998188Z - symbolic_fn: 2023-07-07T20:05:31.8998390Z - torch_args: 2023-07-07T20:05:31.8998594Z - torch_kwargs: 2023-07-07T20:05:31.8998806Z - Return value: 2023-07-07T20:05:31.8999323Z [2023-07-07 20:02:25,522] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_14]. 2023-07-07T20:05:31.8999593Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.8999602Z 2023-07-07T20:05:31.8999944Z [2023-07-07 20:02:25,522] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9000295Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9000304Z 2023-07-07T20:05:31.9000622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9001090Z - self: 2023-07-07T20:05:31.9001490Z - node: fx.Node(native_batch_norm_14[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9001682Z - aten_name: 2023-07-07T20:05:31.9001901Z - function_overloads: 2023-07-07T20:05:31.9002101Z - onnx_args: 2023-07-07T20:05:31.9002298Z - onnx_kwargs: 2023-07-07T20:05:31.9002824Z - diagnostic_context: 2023-07-07T20:05:31.9003192Z - Return value: 2023-07-07T20:05:31.9003749Z [2023-07-07 20:02:25,526] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_14]. 2023-07-07T20:05:31.9004006Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9004322Z [2023-07-07 20:02:25,526] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9004646Z ### Exception log 2023-07-07T20:05:31.9004752Z ``` 2023-07-07T20:05:31.9004915Z Traceback (most recent call last): 2023-07-07T20:05:31.9004924Z 2023-07-07T20:05:31.9005502Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9005726Z torch.testing.assert_close( 2023-07-07T20:05:31.9005735Z 2023-07-07T20:05:31.9006274Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9006439Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9006448Z 2023-07-07T20:05:31.9006717Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9006726Z 2023-07-07T20:05:31.9006880Z Mismatched elements: 14112 / 18816 (75.0%) 2023-07-07T20:05:31.9007116Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9007401Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9007410Z 2023-07-07T20:05:31.9007511Z ``` 2023-07-07T20:05:31.9007715Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9008250Z - diagnostic_context: 2023-07-07T20:05:31.9008642Z - node: fx.Node(native_batch_norm_14[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9009011Z - symbolic_fn: 2023-07-07T20:05:31.9009203Z - torch_args: 2023-07-07T20:05:31.9009406Z - torch_kwargs: 2023-07-07T20:05:31.9009627Z - Return value: 2023-07-07T20:05:31.9010057Z [2023-07-07 20:02:25,536] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_3]. 2023-07-07T20:05:31.9010283Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9010295Z 2023-07-07T20:05:31.9010636Z [2023-07-07 20:02:25,537] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9010983Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9010992Z 2023-07-07T20:05:31.9011309Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9011772Z - self: 2023-07-07T20:05:31.9012074Z - node: fx.Node(cat_3[call_function]'aten.cat.default') 2023-07-07T20:05:31.9012265Z - aten_name: 2023-07-07T20:05:31.9012493Z - function_overloads: 2023-07-07T20:05:31.9012689Z - onnx_args: 2023-07-07T20:05:31.9012888Z - onnx_kwargs: 2023-07-07T20:05:31.9013421Z - diagnostic_context: 2023-07-07T20:05:31.9013669Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9014119Z [2023-07-07 20:02:25,545] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_3]. 2023-07-07T20:05:31.9014362Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9014371Z 2023-07-07T20:05:31.9014712Z [2023-07-07 20:02:25,545] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9015058Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9015072Z 2023-07-07T20:05:31.9015395Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9015858Z - self: 2023-07-07T20:05:31.9016248Z - node: fx.Node(transpose_3[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9016444Z - aten_name: 2023-07-07T20:05:31.9016659Z - function_overloads: 2023-07-07T20:05:31.9016857Z - onnx_args: 2023-07-07T20:05:31.9017059Z - onnx_kwargs: 2023-07-07T20:05:31.9017590Z - diagnostic_context: 2023-07-07T20:05:31.9017960Z - Return value: 2023-07-07T20:05:31.9018399Z [2023-07-07 20:02:25,548] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_3]. 2023-07-07T20:05:31.9018667Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9018676Z 2023-07-07T20:05:31.9019052Z [2023-07-07 20:02:25,548] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9019388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9019411Z 2023-07-07T20:05:31.9019717Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9020219Z - self: 2023-07-07T20:05:31.9020541Z - node: fx.Node(clone_3[call_function]'aten.clone.default') 2023-07-07T20:05:31.9020739Z - aten_name: 2023-07-07T20:05:31.9020970Z - function_overloads: 2023-07-07T20:05:31.9021164Z - onnx_args: 2023-07-07T20:05:31.9021370Z - onnx_kwargs: 2023-07-07T20:05:31.9021893Z - diagnostic_context: 2023-07-07T20:05:31.9022149Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9022640Z [2023-07-07 20:02:25,554] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.9022883Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9022892Z 2023-07-07T20:05:31.9023239Z [2023-07-07 20:02:25,554] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9023589Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9023597Z 2023-07-07T20:05:31.9023912Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9024371Z - self: 2023-07-07T20:05:31.9024745Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9024925Z - aten_name: 2023-07-07T20:05:31.9025154Z - function_overloads: 2023-07-07T20:05:31.9025350Z - onnx_args: 2023-07-07T20:05:31.9025553Z - onnx_kwargs: 2023-07-07T20:05:31.9026086Z - diagnostic_context: 2023-07-07T20:05:31.9026457Z - Return value: 2023-07-07T20:05:31.9026965Z [2023-07-07 20:02:25,559] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:31.9027208Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9027539Z [2023-07-07 20:02:25,559] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9027666Z ### Exception log 2023-07-07T20:05:31.9027769Z ``` 2023-07-07T20:05:31.9027930Z Traceback (most recent call last): 2023-07-07T20:05:31.9027939Z 2023-07-07T20:05:31.9028524Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9028729Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9028738Z 2023-07-07T20:05:31.9029188Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9029384Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9029394Z 2023-07-07T20:05:31.9029948Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9030115Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9030123Z 2023-07-07T20:05:31.9030565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9030801Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9030856Z 2023-07-07T20:05:31.9031336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9031613Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9031624Z 2023-07-07T20:05:31.9032200Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9032336Z result = op.Conv( 2023-07-07T20:05:31.9032345Z 2023-07-07T20:05:31.9032876Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9032994Z return op( 2023-07-07T20:05:31.9033003Z 2023-07-07T20:05:31.9033439Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9033653Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9033662Z 2023-07-07T20:05:31.9034118Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9034342Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9034350Z 2023-07-07T20:05:31.9034884Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9035101Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9035112Z 2023-07-07T20:05:31.9035589Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9035890Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9035899Z 2023-07-07T20:05:31.9036336Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9036492Z node.attribute.extend( 2023-07-07T20:05:31.9036500Z 2023-07-07T20:05:31.9036924Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9037076Z make_attribute(key, value) 2023-07-07T20:05:31.9037087Z 2023-07-07T20:05:31.9037544Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9037675Z raise ValueError( 2023-07-07T20:05:31.9037683Z 2023-07-07T20:05:31.9037981Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9037992Z 2023-07-07T20:05:31.9038099Z ``` 2023-07-07T20:05:31.9038307Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9038837Z - diagnostic_context: 2023-07-07T20:05:31.9039196Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9039559Z - symbolic_fn: 2023-07-07T20:05:31.9039761Z - torch_args: 2023-07-07T20:05:31.9039969Z - torch_kwargs: 2023-07-07T20:05:31.9040192Z - Return value: 2023-07-07T20:05:31.9040712Z [2023-07-07 20:02:25,565] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_15]. 2023-07-07T20:05:31.9040968Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9040977Z 2023-07-07T20:05:31.9041376Z [2023-07-07 20:02:25,565] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9041711Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9041734Z 2023-07-07T20:05:31.9042032Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9042503Z - self: 2023-07-07T20:05:31.9042892Z - node: fx.Node(native_batch_norm_15[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9043154Z - aten_name: 2023-07-07T20:05:31.9043412Z - function_overloads: 2023-07-07T20:05:31.9043613Z - onnx_args: 2023-07-07T20:05:31.9043815Z - onnx_kwargs: 2023-07-07T20:05:31.9044326Z - diagnostic_context: 2023-07-07T20:05:31.9044791Z - Return value: 2023-07-07T20:05:31.9045314Z [2023-07-07 20:02:25,570] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_15]. 2023-07-07T20:05:31.9045628Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9045952Z [2023-07-07 20:02:25,570] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9046076Z ### Exception log 2023-07-07T20:05:31.9046184Z ``` 2023-07-07T20:05:31.9046343Z Traceback (most recent call last): 2023-07-07T20:05:31.9046356Z 2023-07-07T20:05:31.9046926Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9047092Z torch.testing.assert_close( 2023-07-07T20:05:31.9047100Z 2023-07-07T20:05:31.9047595Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9047762Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9047770Z 2023-07-07T20:05:31.9048043Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9048052Z 2023-07-07T20:05:31.9048216Z Mismatched elements: 5292 / 9408 (56.2%) 2023-07-07T20:05:31.9048453Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9048688Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9048696Z 2023-07-07T20:05:31.9048801Z ``` 2023-07-07T20:05:31.9048993Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9049530Z - diagnostic_context: 2023-07-07T20:05:31.9049931Z - node: fx.Node(native_batch_norm_15[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9050297Z - symbolic_fn: 2023-07-07T20:05:31.9050501Z - torch_args: 2023-07-07T20:05:31.9050710Z - torch_kwargs: 2023-07-07T20:05:31.9050936Z - Return value: 2023-07-07T20:05:31.9051432Z [2023-07-07 20:02:25,573] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.9051665Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9051674Z 2023-07-07T20:05:31.9052019Z [2023-07-07 20:02:25,573] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9052365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9052378Z 2023-07-07T20:05:31.9052699Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9053168Z - self: 2023-07-07T20:05:31.9053544Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9053786Z - aten_name: 2023-07-07T20:05:31.9054015Z - function_overloads: 2023-07-07T20:05:31.9054205Z - onnx_args: 2023-07-07T20:05:31.9054410Z - onnx_kwargs: 2023-07-07T20:05:31.9054934Z - diagnostic_context: 2023-07-07T20:05:31.9055299Z - Return value: 2023-07-07T20:05:31.9055801Z [2023-07-07 20:02:25,578] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:31.9056086Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9056467Z [2023-07-07 20:02:25,578] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9056595Z ### Exception log 2023-07-07T20:05:31.9056684Z ``` 2023-07-07T20:05:31.9056848Z Traceback (most recent call last): 2023-07-07T20:05:31.9056857Z 2023-07-07T20:05:31.9057445Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9057690Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9057699Z 2023-07-07T20:05:31.9058148Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9058308Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9058316Z 2023-07-07T20:05:31.9058864Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9059028Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9059037Z 2023-07-07T20:05:31.9059490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9059708Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9059719Z 2023-07-07T20:05:31.9060203Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9060436Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9060445Z 2023-07-07T20:05:31.9061019Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9061152Z result = op.Conv( 2023-07-07T20:05:31.9061160Z 2023-07-07T20:05:31.9061661Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9061786Z return op( 2023-07-07T20:05:31.9061795Z 2023-07-07T20:05:31.9062243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9062456Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9062464Z 2023-07-07T20:05:31.9062918Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9063129Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9063140Z 2023-07-07T20:05:31.9063592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9063804Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9063813Z 2023-07-07T20:05:31.9064277Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9064575Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9064587Z 2023-07-07T20:05:31.9065035Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9065195Z node.attribute.extend( 2023-07-07T20:05:31.9065203Z 2023-07-07T20:05:31.9065644Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9065834Z make_attribute(key, value) 2023-07-07T20:05:31.9065846Z 2023-07-07T20:05:31.9066308Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9066427Z raise ValueError( 2023-07-07T20:05:31.9066437Z 2023-07-07T20:05:31.9066731Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9066740Z 2023-07-07T20:05:31.9066839Z ``` 2023-07-07T20:05:31.9067047Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9067614Z - diagnostic_context: 2023-07-07T20:05:31.9068017Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9068383Z - symbolic_fn: 2023-07-07T20:05:31.9068583Z - torch_args: 2023-07-07T20:05:31.9068778Z - torch_kwargs: 2023-07-07T20:05:31.9069001Z - Return value: 2023-07-07T20:05:31.9069565Z [2023-07-07 20:02:25,590] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_16]. 2023-07-07T20:05:31.9069819Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9069828Z 2023-07-07T20:05:31.9070168Z [2023-07-07 20:02:25,590] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9070517Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9070529Z 2023-07-07T20:05:31.9070849Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9071312Z - self: 2023-07-07T20:05:31.9071706Z - node: fx.Node(native_batch_norm_16[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9071890Z - aten_name: 2023-07-07T20:05:31.9072110Z - function_overloads: 2023-07-07T20:05:31.9072314Z - onnx_args: 2023-07-07T20:05:31.9072512Z - onnx_kwargs: 2023-07-07T20:05:31.9073044Z - diagnostic_context: 2023-07-07T20:05:31.9073410Z - Return value: 2023-07-07T20:05:31.9073932Z [2023-07-07 20:02:25,595] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_16]. 2023-07-07T20:05:31.9074173Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9074500Z [2023-07-07 20:02:25,595] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9074686Z ### Exception log 2023-07-07T20:05:31.9074795Z ``` 2023-07-07T20:05:31.9074962Z Traceback (most recent call last): 2023-07-07T20:05:31.9074971Z 2023-07-07T20:05:31.9075555Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9075723Z torch.testing.assert_close( 2023-07-07T20:05:31.9075732Z 2023-07-07T20:05:31.9076228Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9076375Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9076397Z 2023-07-07T20:05:31.9076652Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9076661Z 2023-07-07T20:05:31.9076821Z Mismatched elements: 5292 / 9408 (56.2%) 2023-07-07T20:05:31.9077064Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9077301Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9077309Z 2023-07-07T20:05:31.9077415Z ``` 2023-07-07T20:05:31.9077621Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9078187Z - diagnostic_context: 2023-07-07T20:05:31.9078586Z - node: fx.Node(native_batch_norm_16[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9078938Z - symbolic_fn: 2023-07-07T20:05:31.9079142Z - torch_args: 2023-07-07T20:05:31.9079349Z - torch_kwargs: 2023-07-07T20:05:31.9079571Z - Return value: 2023-07-07T20:05:31.9080075Z [2023-07-07 20:02:25,608] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.9080366Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9080377Z 2023-07-07T20:05:31.9080746Z [2023-07-07 20:02:25,608] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9081094Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9081103Z 2023-07-07T20:05:31.9081408Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9081911Z - self: 2023-07-07T20:05:31.9082276Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9082476Z - aten_name: 2023-07-07T20:05:31.9082701Z - function_overloads: 2023-07-07T20:05:31.9082904Z - onnx_args: 2023-07-07T20:05:31.9083104Z - onnx_kwargs: 2023-07-07T20:05:31.9083623Z - diagnostic_context: 2023-07-07T20:05:31.9083992Z - Return value: 2023-07-07T20:05:31.9084562Z [2023-07-07 20:02:25,614] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:31.9084801Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9085125Z [2023-07-07 20:02:25,614] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9085235Z ### Exception log 2023-07-07T20:05:31.9085326Z ``` 2023-07-07T20:05:31.9085465Z Traceback (most recent call last): 2023-07-07T20:05:31.9085475Z 2023-07-07T20:05:31.9086032Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9086243Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9086252Z 2023-07-07T20:05:31.9086706Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9086872Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9086880Z 2023-07-07T20:05:31.9087443Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9087604Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9087617Z 2023-07-07T20:05:31.9088073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9088306Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9088315Z 2023-07-07T20:05:31.9088793Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9089025Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9089034Z 2023-07-07T20:05:31.9089605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9089737Z result = op.Conv( 2023-07-07T20:05:31.9089746Z 2023-07-07T20:05:31.9090242Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9090369Z return op( 2023-07-07T20:05:31.9090377Z 2023-07-07T20:05:31.9090933Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9091156Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9091165Z 2023-07-07T20:05:31.9091618Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9091857Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9091866Z 2023-07-07T20:05:31.9092323Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9092627Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9092636Z 2023-07-07T20:05:31.9093095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9093394Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9093406Z 2023-07-07T20:05:31.9093846Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9094053Z node.attribute.extend( 2023-07-07T20:05:31.9094062Z 2023-07-07T20:05:31.9094500Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9094655Z make_attribute(key, value) 2023-07-07T20:05:31.9094663Z 2023-07-07T20:05:31.9095122Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9095257Z raise ValueError( 2023-07-07T20:05:31.9095265Z 2023-07-07T20:05:31.9095565Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9095573Z 2023-07-07T20:05:31.9095675Z ``` 2023-07-07T20:05:31.9095868Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9096404Z - diagnostic_context: 2023-07-07T20:05:31.9096785Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9097151Z - symbolic_fn: 2023-07-07T20:05:31.9097351Z - torch_args: 2023-07-07T20:05:31.9097561Z - torch_kwargs: 2023-07-07T20:05:31.9097782Z - Return value: 2023-07-07T20:05:31.9098286Z [2023-07-07 20:02:25,619] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_17]. 2023-07-07T20:05:31.9098549Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9098558Z 2023-07-07T20:05:31.9098897Z [2023-07-07 20:02:25,620] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9099243Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9099253Z 2023-07-07T20:05:31.9099570Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9100037Z - self: 2023-07-07T20:05:31.9100443Z - node: fx.Node(native_batch_norm_17[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9100640Z - aten_name: 2023-07-07T20:05:31.9100874Z - function_overloads: 2023-07-07T20:05:31.9101082Z - onnx_args: 2023-07-07T20:05:31.9101285Z - onnx_kwargs: 2023-07-07T20:05:31.9101811Z - diagnostic_context: 2023-07-07T20:05:31.9102177Z - Return value: 2023-07-07T20:05:31.9102688Z [2023-07-07 20:02:25,626] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_17]. 2023-07-07T20:05:31.9102990Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9103317Z [2023-07-07 20:02:25,626] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9103435Z ### Exception log 2023-07-07T20:05:31.9103538Z ``` 2023-07-07T20:05:31.9103702Z Traceback (most recent call last): 2023-07-07T20:05:31.9103710Z 2023-07-07T20:05:31.9104298Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9104463Z torch.testing.assert_close( 2023-07-07T20:05:31.9104471Z 2023-07-07T20:05:31.9105007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9105198Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9105207Z 2023-07-07T20:05:31.9105474Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9105483Z 2023-07-07T20:05:31.9105647Z Mismatched elements: 15680 / 37632 (41.7%) 2023-07-07T20:05:31.9105876Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9106152Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9106160Z 2023-07-07T20:05:31.9106259Z ``` 2023-07-07T20:05:31.9106470Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9107001Z - diagnostic_context: 2023-07-07T20:05:31.9107399Z - node: fx.Node(native_batch_norm_17[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9107765Z - symbolic_fn: 2023-07-07T20:05:31.9107970Z - torch_args: 2023-07-07T20:05:31.9108171Z - torch_kwargs: 2023-07-07T20:05:31.9108394Z - Return value: 2023-07-07T20:05:31.9108887Z [2023-07-07 20:02:25,647] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.9109135Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9109144Z 2023-07-07T20:05:31.9109486Z [2023-07-07 20:02:25,647] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9109834Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9109842Z 2023-07-07T20:05:31.9110158Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9110622Z - self: 2023-07-07T20:05:31.9110992Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9111179Z - aten_name: 2023-07-07T20:05:31.9111405Z - function_overloads: 2023-07-07T20:05:31.9111610Z - onnx_args: 2023-07-07T20:05:31.9111808Z - onnx_kwargs: 2023-07-07T20:05:31.9112343Z - diagnostic_context: 2023-07-07T20:05:31.9112706Z - Return value: 2023-07-07T20:05:31.9113206Z [2023-07-07 20:02:25,659] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:31.9113437Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9113785Z [2023-07-07 20:02:25,659] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9113913Z ### Exception log 2023-07-07T20:05:31.9114022Z ``` 2023-07-07T20:05:31.9114188Z Traceback (most recent call last): 2023-07-07T20:05:31.9114199Z 2023-07-07T20:05:31.9114907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9115115Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9115125Z 2023-07-07T20:05:31.9115626Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9115776Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9115802Z 2023-07-07T20:05:31.9116345Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9116510Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9116518Z 2023-07-07T20:05:31.9116974Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9117204Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9117259Z 2023-07-07T20:05:31.9117777Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9118010Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9118019Z 2023-07-07T20:05:31.9118599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9118768Z result = op.Conv( 2023-07-07T20:05:31.9118777Z 2023-07-07T20:05:31.9119278Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9119384Z return op( 2023-07-07T20:05:31.9119405Z 2023-07-07T20:05:31.9119841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9120059Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9120072Z 2023-07-07T20:05:31.9120528Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9120751Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9120759Z 2023-07-07T20:05:31.9121216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9121430Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9121441Z 2023-07-07T20:05:31.9121912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9122215Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9122224Z 2023-07-07T20:05:31.9122660Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9122802Z node.attribute.extend( 2023-07-07T20:05:31.9122827Z 2023-07-07T20:05:31.9123247Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9123398Z make_attribute(key, value) 2023-07-07T20:05:31.9123408Z 2023-07-07T20:05:31.9123860Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9123995Z raise ValueError( 2023-07-07T20:05:31.9124006Z 2023-07-07T20:05:31.9124304Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9124315Z 2023-07-07T20:05:31.9124508Z ``` 2023-07-07T20:05:31.9124710Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9125248Z - diagnostic_context: 2023-07-07T20:05:31.9125614Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9125976Z - symbolic_fn: 2023-07-07T20:05:31.9126185Z - torch_args: 2023-07-07T20:05:31.9126394Z - torch_kwargs: 2023-07-07T20:05:31.9126619Z - Return value: 2023-07-07T20:05:31.9127130Z [2023-07-07 20:02:25,667] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_18]. 2023-07-07T20:05:31.9127452Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9127462Z 2023-07-07T20:05:31.9127810Z [2023-07-07 20:02:25,667] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9128144Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9128167Z 2023-07-07T20:05:31.9128467Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9128932Z - self: 2023-07-07T20:05:31.9129373Z - node: fx.Node(native_batch_norm_18[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9129618Z - aten_name: 2023-07-07T20:05:31.9129847Z - function_overloads: 2023-07-07T20:05:31.9130049Z - onnx_args: 2023-07-07T20:05:31.9130252Z - onnx_kwargs: 2023-07-07T20:05:31.9130770Z - diagnostic_context: 2023-07-07T20:05:31.9131133Z - Return value: 2023-07-07T20:05:31.9131695Z [2023-07-07 20:02:25,671] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_18]. 2023-07-07T20:05:31.9131950Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9132269Z [2023-07-07 20:02:25,671] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9132397Z ### Exception log 2023-07-07T20:05:31.9132503Z ``` 2023-07-07T20:05:31.9132652Z Traceback (most recent call last): 2023-07-07T20:05:31.9132678Z 2023-07-07T20:05:31.9133240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9133408Z torch.testing.assert_close( 2023-07-07T20:05:31.9133417Z 2023-07-07T20:05:31.9133916Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9134073Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9134085Z 2023-07-07T20:05:31.9134356Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9134365Z 2023-07-07T20:05:31.9134529Z Mismatched elements: 5096 / 9408 (54.2%) 2023-07-07T20:05:31.9134772Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9135012Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9135020Z 2023-07-07T20:05:31.9135124Z ``` 2023-07-07T20:05:31.9135316Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9135847Z - diagnostic_context: 2023-07-07T20:05:31.9136244Z - node: fx.Node(native_batch_norm_18[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9136606Z - symbolic_fn: 2023-07-07T20:05:31.9136813Z - torch_args: 2023-07-07T20:05:31.9137025Z - torch_kwargs: 2023-07-07T20:05:31.9137249Z - Return value: 2023-07-07T20:05:31.9137733Z [2023-07-07 20:02:25,673] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.9137980Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9137988Z 2023-07-07T20:05:31.9138329Z [2023-07-07 20:02:25,673] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9138679Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9138688Z 2023-07-07T20:05:31.9139003Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9139461Z - self: 2023-07-07T20:05:31.9139896Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9140096Z - aten_name: 2023-07-07T20:05:31.9140327Z - function_overloads: 2023-07-07T20:05:31.9140517Z - onnx_args: 2023-07-07T20:05:31.9140720Z - onnx_kwargs: 2023-07-07T20:05:31.9141248Z - diagnostic_context: 2023-07-07T20:05:31.9141616Z - Return value: 2023-07-07T20:05:31.9142110Z [2023-07-07 20:02:25,677] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:31.9142388Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9142769Z [2023-07-07 20:02:25,677] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9142884Z ### Exception log 2023-07-07T20:05:31.9142993Z ``` 2023-07-07T20:05:31.9143157Z Traceback (most recent call last): 2023-07-07T20:05:31.9143166Z 2023-07-07T20:05:31.9143748Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9143987Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9143996Z 2023-07-07T20:05:31.9144457Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9144618Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9144626Z 2023-07-07T20:05:31.9145185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9145355Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9145364Z 2023-07-07T20:05:31.9145810Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9146029Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9146040Z 2023-07-07T20:05:31.9146516Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9146748Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9146757Z 2023-07-07T20:05:31.9147332Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9147461Z result = op.Conv( 2023-07-07T20:05:31.9147469Z 2023-07-07T20:05:31.9147970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9148095Z return op( 2023-07-07T20:05:31.9148106Z 2023-07-07T20:05:31.9148557Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9148771Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9148779Z 2023-07-07T20:05:31.9149219Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9149446Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9149454Z 2023-07-07T20:05:31.9149910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9150124Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9150133Z 2023-07-07T20:05:31.9150598Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9150904Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9150913Z 2023-07-07T20:05:31.9151353Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9151508Z node.attribute.extend( 2023-07-07T20:05:31.9151517Z 2023-07-07T20:05:31.9151993Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9152153Z make_attribute(key, value) 2023-07-07T20:05:31.9152162Z 2023-07-07T20:05:31.9152601Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9152734Z raise ValueError( 2023-07-07T20:05:31.9152743Z 2023-07-07T20:05:31.9153036Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9153044Z 2023-07-07T20:05:31.9153184Z ``` 2023-07-07T20:05:31.9153392Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9153960Z - diagnostic_context: 2023-07-07T20:05:31.9154339Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9154781Z - symbolic_fn: 2023-07-07T20:05:31.9154981Z - torch_args: 2023-07-07T20:05:31.9155190Z - torch_kwargs: 2023-07-07T20:05:31.9155463Z - Return value: 2023-07-07T20:05:31.9155989Z [2023-07-07 20:02:25,683] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_19]. 2023-07-07T20:05:31.9156250Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9156259Z 2023-07-07T20:05:31.9156597Z [2023-07-07 20:02:25,683] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9156948Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9156962Z 2023-07-07T20:05:31.9157278Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9157749Z - self: 2023-07-07T20:05:31.9158132Z - node: fx.Node(native_batch_norm_19[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9158325Z - aten_name: 2023-07-07T20:05:31.9158560Z - function_overloads: 2023-07-07T20:05:31.9158755Z - onnx_args: 2023-07-07T20:05:31.9158955Z - onnx_kwargs: 2023-07-07T20:05:31.9159482Z - diagnostic_context: 2023-07-07T20:05:31.9159847Z - Return value: 2023-07-07T20:05:31.9160352Z [2023-07-07 20:02:25,686] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_19]. 2023-07-07T20:05:31.9160613Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9160934Z [2023-07-07 20:02:25,686] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9161061Z ### Exception log 2023-07-07T20:05:31.9161168Z ``` 2023-07-07T20:05:31.9161331Z Traceback (most recent call last): 2023-07-07T20:05:31.9161340Z 2023-07-07T20:05:31.9161914Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9162080Z torch.testing.assert_close( 2023-07-07T20:05:31.9162089Z 2023-07-07T20:05:31.9162587Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9162729Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9162740Z 2023-07-07T20:05:31.9163008Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9163020Z 2023-07-07T20:05:31.9163181Z Mismatched elements: 4900 / 9408 (52.1%) 2023-07-07T20:05:31.9163421Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9163661Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9163669Z 2023-07-07T20:05:31.9163772Z ``` 2023-07-07T20:05:31.9164017Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9164831Z - diagnostic_context: 2023-07-07T20:05:31.9165225Z - node: fx.Node(native_batch_norm_19[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9165584Z - symbolic_fn: 2023-07-07T20:05:31.9165785Z - torch_args: 2023-07-07T20:05:31.9165986Z - torch_kwargs: 2023-07-07T20:05:31.9166208Z - Return value: 2023-07-07T20:05:31.9166639Z [2023-07-07 20:02:25,695] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_4]. 2023-07-07T20:05:31.9166961Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9166971Z 2023-07-07T20:05:31.9167312Z [2023-07-07 20:02:25,695] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9167645Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9167673Z 2023-07-07T20:05:31.9167974Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9168483Z - self: 2023-07-07T20:05:31.9168779Z - node: fx.Node(cat_4[call_function]'aten.cat.default') 2023-07-07T20:05:31.9168977Z - aten_name: 2023-07-07T20:05:31.9169204Z - function_overloads: 2023-07-07T20:05:31.9169405Z - onnx_args: 2023-07-07T20:05:31.9169609Z - onnx_kwargs: 2023-07-07T20:05:31.9170133Z - diagnostic_context: 2023-07-07T20:05:31.9170383Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9170847Z [2023-07-07 20:02:25,701] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_4]. 2023-07-07T20:05:31.9171087Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9171099Z 2023-07-07T20:05:31.9171441Z [2023-07-07 20:02:25,701] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9171790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9171799Z 2023-07-07T20:05:31.9172116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9172579Z - self: 2023-07-07T20:05:31.9172916Z - node: fx.Node(transpose_4[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9173096Z - aten_name: 2023-07-07T20:05:31.9173327Z - function_overloads: 2023-07-07T20:05:31.9173524Z - onnx_args: 2023-07-07T20:05:31.9173728Z - onnx_kwargs: 2023-07-07T20:05:31.9174267Z - diagnostic_context: 2023-07-07T20:05:31.9174633Z - Return value: 2023-07-07T20:05:31.9175083Z [2023-07-07 20:02:25,703] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_4]. 2023-07-07T20:05:31.9175298Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9175320Z 2023-07-07T20:05:31.9175648Z [2023-07-07 20:02:25,704] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9175998Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9176009Z 2023-07-07T20:05:31.9176327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9176794Z - self: 2023-07-07T20:05:31.9177110Z - node: fx.Node(clone_4[call_function]'aten.clone.default') 2023-07-07T20:05:31.9177306Z - aten_name: 2023-07-07T20:05:31.9177590Z - function_overloads: 2023-07-07T20:05:31.9177778Z - onnx_args: 2023-07-07T20:05:31.9177986Z - onnx_kwargs: 2023-07-07T20:05:31.9178510Z - diagnostic_context: 2023-07-07T20:05:31.9178767Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9179218Z [2023-07-07 20:02:25,709] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_3]. 2023-07-07T20:05:31.9179453Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9179503Z 2023-07-07T20:05:31.9179844Z [2023-07-07 20:02:25,709] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9180223Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9180233Z 2023-07-07T20:05:31.9180549Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9181002Z - self: 2023-07-07T20:05:31.9181359Z - node: fx.Node(split_3[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.9181551Z - aten_name: 2023-07-07T20:05:31.9181778Z - function_overloads: 2023-07-07T20:05:31.9181977Z - onnx_args: 2023-07-07T20:05:31.9182185Z - onnx_kwargs: 2023-07-07T20:05:31.9182712Z - diagnostic_context: 2023-07-07T20:05:31.9182958Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.9183433Z [2023-07-07 20:02:25,712] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_68]. 2023-07-07T20:05:31.9183665Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9183674Z 2023-07-07T20:05:31.9184010Z [2023-07-07 20:02:25,712] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9184360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9184371Z 2023-07-07T20:05:31.9184683Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9185147Z - self: 2023-07-07T20:05:31.9185499Z - node: fx.Node(getitem_68[call_function]'') 2023-07-07T20:05:31.9185692Z - aten_name: 2023-07-07T20:05:31.9185906Z - function_overloads: 2023-07-07T20:05:31.9186103Z - onnx_args: 2023-07-07T20:05:31.9186309Z - onnx_kwargs: 2023-07-07T20:05:31.9186845Z - diagnostic_context: 2023-07-07T20:05:31.9187105Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9187576Z [2023-07-07 20:02:25,713] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_69]. 2023-07-07T20:05:31.9187810Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9187821Z 2023-07-07T20:05:31.9188159Z [2023-07-07 20:02:25,713] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9188487Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9188509Z 2023-07-07T20:05:31.9188814Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9189276Z - self: 2023-07-07T20:05:31.9189633Z - node: fx.Node(getitem_69[call_function]'') 2023-07-07T20:05:31.9189829Z - aten_name: 2023-07-07T20:05:31.9190056Z - function_overloads: 2023-07-07T20:05:31.9190259Z - onnx_args: 2023-07-07T20:05:31.9190459Z - onnx_kwargs: 2023-07-07T20:05:31.9191011Z - diagnostic_context: 2023-07-07T20:05:31.9191279Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9191773Z [2023-07-07 20:02:25,714] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_20]. 2023-07-07T20:05:31.9192018Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9192026Z 2023-07-07T20:05:31.9192365Z [2023-07-07 20:02:25,715] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9192747Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9192789Z 2023-07-07T20:05:31.9193103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9193572Z - self: 2023-07-07T20:05:31.9193948Z - node: fx.Node(convolution_20[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9194165Z - aten_name: 2023-07-07T20:05:31.9194392Z - function_overloads: 2023-07-07T20:05:31.9194586Z - onnx_args: 2023-07-07T20:05:31.9194855Z - onnx_kwargs: 2023-07-07T20:05:31.9195379Z - diagnostic_context: 2023-07-07T20:05:31.9195748Z - Return value: 2023-07-07T20:05:31.9196243Z [2023-07-07 20:02:25,719] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_20]. 2023-07-07T20:05:31.9196480Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9196826Z [2023-07-07 20:02:25,719] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9196948Z ### Exception log 2023-07-07T20:05:31.9197053Z ``` 2023-07-07T20:05:31.9197215Z Traceback (most recent call last): 2023-07-07T20:05:31.9197227Z 2023-07-07T20:05:31.9197809Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9198020Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9198029Z 2023-07-07T20:05:31.9198481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9198640Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9198649Z 2023-07-07T20:05:31.9199201Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9199367Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9199375Z 2023-07-07T20:05:31.9199821Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9200057Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9200066Z 2023-07-07T20:05:31.9200549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9200779Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9200790Z 2023-07-07T20:05:31.9201365Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9201496Z result = op.Conv( 2023-07-07T20:05:31.9201504Z 2023-07-07T20:05:31.9202004Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9202120Z return op( 2023-07-07T20:05:31.9202129Z 2023-07-07T20:05:31.9202562Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9202778Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9202825Z 2023-07-07T20:05:31.9203282Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9203509Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9203518Z 2023-07-07T20:05:31.9203974Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9204186Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9204195Z 2023-07-07T20:05:31.9204780Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9205205Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9205215Z 2023-07-07T20:05:31.9205670Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9205810Z node.attribute.extend( 2023-07-07T20:05:31.9205832Z 2023-07-07T20:05:31.9206257Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9206451Z make_attribute(key, value) 2023-07-07T20:05:31.9206459Z 2023-07-07T20:05:31.9206921Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9207054Z raise ValueError( 2023-07-07T20:05:31.9207062Z 2023-07-07T20:05:31.9207361Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9207372Z 2023-07-07T20:05:31.9207477Z ``` 2023-07-07T20:05:31.9207682Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9208217Z - diagnostic_context: 2023-07-07T20:05:31.9208577Z - node: fx.Node(convolution_20[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9208941Z - symbolic_fn: 2023-07-07T20:05:31.9209144Z - torch_args: 2023-07-07T20:05:31.9209352Z - torch_kwargs: 2023-07-07T20:05:31.9209570Z - Return value: 2023-07-07T20:05:31.9210095Z [2023-07-07 20:02:25,723] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_20]. 2023-07-07T20:05:31.9210352Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9210361Z 2023-07-07T20:05:31.9210700Z [2023-07-07 20:02:25,724] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9211038Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9211065Z 2023-07-07T20:05:31.9211369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9211833Z - self: 2023-07-07T20:05:31.9212232Z - node: fx.Node(native_batch_norm_20[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9212427Z - aten_name: 2023-07-07T20:05:31.9212656Z - function_overloads: 2023-07-07T20:05:31.9212853Z - onnx_args: 2023-07-07T20:05:31.9213056Z - onnx_kwargs: 2023-07-07T20:05:31.9213571Z - diagnostic_context: 2023-07-07T20:05:31.9213934Z - Return value: 2023-07-07T20:05:31.9214452Z [2023-07-07 20:02:25,727] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_20]. 2023-07-07T20:05:31.9214712Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9215036Z [2023-07-07 20:02:25,727] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9215160Z ### Exception log 2023-07-07T20:05:31.9215262Z ``` 2023-07-07T20:05:31.9215480Z Traceback (most recent call last): 2023-07-07T20:05:31.9215490Z 2023-07-07T20:05:31.9216063Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9216228Z torch.testing.assert_close( 2023-07-07T20:05:31.9216238Z 2023-07-07T20:05:31.9216731Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9216892Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9216900Z 2023-07-07T20:05:31.9217205Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9217214Z 2023-07-07T20:05:31.9217372Z Mismatched elements: 6272 / 9408 (66.7%) 2023-07-07T20:05:31.9217643Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9217883Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9217891Z 2023-07-07T20:05:31.9217997Z ``` 2023-07-07T20:05:31.9218191Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9218767Z - diagnostic_context: 2023-07-07T20:05:31.9219161Z - node: fx.Node(native_batch_norm_20[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9219525Z - symbolic_fn: 2023-07-07T20:05:31.9219726Z - torch_args: 2023-07-07T20:05:31.9219933Z - torch_kwargs: 2023-07-07T20:05:31.9220154Z - Return value: 2023-07-07T20:05:31.9220649Z [2023-07-07 20:02:25,737] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_21]. 2023-07-07T20:05:31.9220903Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9220911Z 2023-07-07T20:05:31.9221248Z [2023-07-07 20:02:25,737] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9221597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9221609Z 2023-07-07T20:05:31.9221920Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9222385Z - self: 2023-07-07T20:05:31.9222758Z - node: fx.Node(convolution_21[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9222953Z - aten_name: 2023-07-07T20:05:31.9223184Z - function_overloads: 2023-07-07T20:05:31.9223373Z - onnx_args: 2023-07-07T20:05:31.9223577Z - onnx_kwargs: 2023-07-07T20:05:31.9224104Z - diagnostic_context: 2023-07-07T20:05:31.9224469Z - Return value: 2023-07-07T20:05:31.9224971Z [2023-07-07 20:02:25,742] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_21]. 2023-07-07T20:05:31.9225219Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9225563Z [2023-07-07 20:02:25,742] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9225687Z ### Exception log 2023-07-07T20:05:31.9225776Z ``` 2023-07-07T20:05:31.9225939Z Traceback (most recent call last): 2023-07-07T20:05:31.9225948Z 2023-07-07T20:05:31.9226532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9226739Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9226748Z 2023-07-07T20:05:31.9227208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9227368Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9227377Z 2023-07-07T20:05:31.9227981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9228145Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9228155Z 2023-07-07T20:05:31.9228602Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9228818Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9228826Z 2023-07-07T20:05:31.9229304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9229570Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9229579Z 2023-07-07T20:05:31.9230187Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9230319Z result = op.Conv( 2023-07-07T20:05:31.9230327Z 2023-07-07T20:05:31.9230830Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9231011Z return op( 2023-07-07T20:05:31.9231019Z 2023-07-07T20:05:31.9231466Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9231686Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9231694Z 2023-07-07T20:05:31.9232149Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9232360Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9232371Z 2023-07-07T20:05:31.9232831Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9233041Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9233049Z 2023-07-07T20:05:31.9233525Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9233828Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9233839Z 2023-07-07T20:05:31.9234287Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9234439Z node.attribute.extend( 2023-07-07T20:05:31.9234447Z 2023-07-07T20:05:31.9234952Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9235105Z make_attribute(key, value) 2023-07-07T20:05:31.9235116Z 2023-07-07T20:05:31.9235567Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9235706Z raise ValueError( 2023-07-07T20:05:31.9235715Z 2023-07-07T20:05:31.9236009Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9236019Z 2023-07-07T20:05:31.9236123Z ``` 2023-07-07T20:05:31.9236331Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9236866Z - diagnostic_context: 2023-07-07T20:05:31.9237241Z - node: fx.Node(convolution_21[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9237609Z - symbolic_fn: 2023-07-07T20:05:31.9237812Z - torch_args: 2023-07-07T20:05:31.9238003Z - torch_kwargs: 2023-07-07T20:05:31.9238225Z - Return value: 2023-07-07T20:05:31.9238743Z [2023-07-07 20:02:25,747] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_21]. 2023-07-07T20:05:31.9239002Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9239011Z 2023-07-07T20:05:31.9239355Z [2023-07-07 20:02:25,747] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9239748Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9239761Z 2023-07-07T20:05:31.9240073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9240537Z - self: 2023-07-07T20:05:31.9240919Z - node: fx.Node(native_batch_norm_21[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9241115Z - aten_name: 2023-07-07T20:05:31.9241343Z - function_overloads: 2023-07-07T20:05:31.9241577Z - onnx_args: 2023-07-07T20:05:31.9241778Z - onnx_kwargs: 2023-07-07T20:05:31.9242340Z - diagnostic_context: 2023-07-07T20:05:31.9242708Z - Return value: 2023-07-07T20:05:31.9243230Z [2023-07-07 20:02:25,751] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_21]. 2023-07-07T20:05:31.9243473Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9243842Z [2023-07-07 20:02:25,751] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9243967Z ### Exception log 2023-07-07T20:05:31.9244070Z ``` 2023-07-07T20:05:31.9244232Z Traceback (most recent call last): 2023-07-07T20:05:31.9244241Z 2023-07-07T20:05:31.9245385Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9245640Z torch.testing.assert_close( 2023-07-07T20:05:31.9245652Z 2023-07-07T20:05:31.9246262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9246413Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9246422Z 2023-07-07T20:05:31.9246707Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9246716Z 2023-07-07T20:05:31.9246887Z Mismatched elements: 4900 / 9408 (52.1%) 2023-07-07T20:05:31.9247137Z Greatest absolute difference: nan at index (0, 3, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9247379Z Greatest relative difference: nan at index (0, 3, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9247388Z 2023-07-07T20:05:31.9247495Z ``` 2023-07-07T20:05:31.9247704Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9248243Z - diagnostic_context: 2023-07-07T20:05:31.9248625Z - node: fx.Node(native_batch_norm_21[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9248997Z - symbolic_fn: 2023-07-07T20:05:31.9249205Z - torch_args: 2023-07-07T20:05:31.9249409Z - torch_kwargs: 2023-07-07T20:05:31.9249635Z - Return value: 2023-07-07T20:05:31.9250146Z [2023-07-07 20:02:25,753] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_22]. 2023-07-07T20:05:31.9250398Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9250408Z 2023-07-07T20:05:31.9250757Z [2023-07-07 20:02:25,753] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9251100Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9251125Z 2023-07-07T20:05:31.9251432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9251921Z - self: 2023-07-07T20:05:31.9252306Z - node: fx.Node(convolution_22[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9252511Z - aten_name: 2023-07-07T20:05:31.9252745Z - function_overloads: 2023-07-07T20:05:31.9252946Z - onnx_args: 2023-07-07T20:05:31.9253386Z - onnx_kwargs: 2023-07-07T20:05:31.9253924Z - diagnostic_context: 2023-07-07T20:05:31.9254308Z - Return value: 2023-07-07T20:05:31.9254812Z [2023-07-07 20:02:25,758] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_22]. 2023-07-07T20:05:31.9255066Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9255427Z [2023-07-07 20:02:25,758] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9255632Z ### Exception log 2023-07-07T20:05:31.9255743Z ``` 2023-07-07T20:05:31.9255971Z Traceback (most recent call last): 2023-07-07T20:05:31.9255982Z 2023-07-07T20:05:31.9256567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9256781Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9256793Z 2023-07-07T20:05:31.9257254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9257472Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9257481Z 2023-07-07T20:05:31.9258072Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9258239Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9258248Z 2023-07-07T20:05:31.9258713Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9258964Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9258975Z 2023-07-07T20:05:31.9259478Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9259713Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9259725Z 2023-07-07T20:05:31.9260298Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9260436Z result = op.Conv( 2023-07-07T20:05:31.9260445Z 2023-07-07T20:05:31.9260942Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9261061Z return op( 2023-07-07T20:05:31.9261070Z 2023-07-07T20:05:31.9261537Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9261758Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9261769Z 2023-07-07T20:05:31.9262227Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9262449Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9262457Z 2023-07-07T20:05:31.9262909Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9263131Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9263141Z 2023-07-07T20:05:31.9263606Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9263910Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9263919Z 2023-07-07T20:05:31.9264373Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9264535Z node.attribute.extend( 2023-07-07T20:05:31.9264546Z 2023-07-07T20:05:31.9264986Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9265139Z make_attribute(key, value) 2023-07-07T20:05:31.9265147Z 2023-07-07T20:05:31.9265642Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9266041Z raise ValueError( 2023-07-07T20:05:31.9266055Z 2023-07-07T20:05:31.9266369Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9266377Z 2023-07-07T20:05:31.9266472Z ``` 2023-07-07T20:05:31.9266683Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9267226Z - diagnostic_context: 2023-07-07T20:05:31.9267613Z - node: fx.Node(convolution_22[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9268083Z - symbolic_fn: 2023-07-07T20:05:31.9268288Z - torch_args: 2023-07-07T20:05:31.9268498Z - torch_kwargs: 2023-07-07T20:05:31.9268722Z - Return value: 2023-07-07T20:05:31.9269243Z [2023-07-07 20:02:25,763] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_22]. 2023-07-07T20:05:31.9269498Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9269543Z 2023-07-07T20:05:31.9269887Z [2023-07-07 20:02:25,763] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9270246Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9270255Z 2023-07-07T20:05:31.9270580Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9271067Z - self: 2023-07-07T20:05:31.9271471Z - node: fx.Node(native_batch_norm_22[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9271670Z - aten_name: 2023-07-07T20:05:31.9271902Z - function_overloads: 2023-07-07T20:05:31.9272092Z - onnx_args: 2023-07-07T20:05:31.9272294Z - onnx_kwargs: 2023-07-07T20:05:31.9272844Z - diagnostic_context: 2023-07-07T20:05:31.9273226Z - Return value: 2023-07-07T20:05:31.9273748Z [2023-07-07 20:02:25,767] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_22]. 2023-07-07T20:05:31.9274007Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9274336Z [2023-07-07 20:02:25,767] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9274453Z ### Exception log 2023-07-07T20:05:31.9274570Z ``` 2023-07-07T20:05:31.9274823Z Traceback (most recent call last): 2023-07-07T20:05:31.9274834Z 2023-07-07T20:05:31.9275440Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9275608Z torch.testing.assert_close( 2023-07-07T20:05:31.9275620Z 2023-07-07T20:05:31.9276121Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9276285Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9276294Z 2023-07-07T20:05:31.9276567Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9276575Z 2023-07-07T20:05:31.9276737Z Mismatched elements: 4704 / 9408 (50.0%) 2023-07-07T20:05:31.9276961Z Greatest absolute difference: nan at index (0, 3, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9277209Z Greatest relative difference: nan at index (0, 3, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9277218Z 2023-07-07T20:05:31.9277325Z ``` 2023-07-07T20:05:31.9277536Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9278085Z - diagnostic_context: 2023-07-07T20:05:31.9278536Z - node: fx.Node(native_batch_norm_22[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9278907Z - symbolic_fn: 2023-07-07T20:05:31.9279112Z - torch_args: 2023-07-07T20:05:31.9279309Z - torch_kwargs: 2023-07-07T20:05:31.9279528Z - Return value: 2023-07-07T20:05:31.9279963Z [2023-07-07 20:02:25,776] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_5]. 2023-07-07T20:05:31.9280191Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9280199Z 2023-07-07T20:05:31.9280543Z [2023-07-07 20:02:25,776] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9280976Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9280986Z 2023-07-07T20:05:31.9281306Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9281780Z - self: 2023-07-07T20:05:31.9282074Z - node: fx.Node(cat_5[call_function]'aten.cat.default') 2023-07-07T20:05:31.9282307Z - aten_name: 2023-07-07T20:05:31.9282535Z - function_overloads: 2023-07-07T20:05:31.9282743Z - onnx_args: 2023-07-07T20:05:31.9282953Z - onnx_kwargs: 2023-07-07T20:05:31.9283485Z - diagnostic_context: 2023-07-07T20:05:31.9283735Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9284212Z [2023-07-07 20:02:25,781] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_5]. 2023-07-07T20:05:31.9284642Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9284653Z 2023-07-07T20:05:31.9285004Z [2023-07-07 20:02:25,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9285354Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9285363Z 2023-07-07T20:05:31.9285687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9286162Z - self: 2023-07-07T20:05:31.9286504Z - node: fx.Node(transpose_5[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9286701Z - aten_name: 2023-07-07T20:05:31.9286934Z - function_overloads: 2023-07-07T20:05:31.9287122Z - onnx_args: 2023-07-07T20:05:31.9287329Z - onnx_kwargs: 2023-07-07T20:05:31.9287869Z - diagnostic_context: 2023-07-07T20:05:31.9288242Z - Return value: 2023-07-07T20:05:31.9288693Z [2023-07-07 20:02:25,784] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_5]. 2023-07-07T20:05:31.9288928Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9288937Z 2023-07-07T20:05:31.9289280Z [2023-07-07 20:02:25,784] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9289632Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9289640Z 2023-07-07T20:05:31.9289957Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9290416Z - self: 2023-07-07T20:05:31.9290742Z - node: fx.Node(clone_5[call_function]'aten.clone.default') 2023-07-07T20:05:31.9290946Z - aten_name: 2023-07-07T20:05:31.9291175Z - function_overloads: 2023-07-07T20:05:31.9291376Z - onnx_args: 2023-07-07T20:05:31.9291577Z - onnx_kwargs: 2023-07-07T20:05:31.9292200Z - diagnostic_context: 2023-07-07T20:05:31.9292449Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9292891Z [2023-07-07 20:02:25,790] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_4]. 2023-07-07T20:05:31.9293126Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9293134Z 2023-07-07T20:05:31.9293473Z [2023-07-07 20:02:25,790] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9293821Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9293879Z 2023-07-07T20:05:31.9294235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9294701Z - self: 2023-07-07T20:05:31.9295021Z - node: fx.Node(split_4[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.9295213Z - aten_name: 2023-07-07T20:05:31.9295436Z - function_overloads: 2023-07-07T20:05:31.9295687Z - onnx_args: 2023-07-07T20:05:31.9295890Z - onnx_kwargs: 2023-07-07T20:05:31.9296423Z - diagnostic_context: 2023-07-07T20:05:31.9296679Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.9297165Z [2023-07-07 20:02:25,793] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_79]. 2023-07-07T20:05:31.9297401Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9297414Z 2023-07-07T20:05:31.9297765Z [2023-07-07 20:02:25,793] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9298096Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9298105Z 2023-07-07T20:05:31.9298423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9298890Z - self: 2023-07-07T20:05:31.9299245Z - node: fx.Node(getitem_79[call_function]'') 2023-07-07T20:05:31.9299437Z - aten_name: 2023-07-07T20:05:31.9299669Z - function_overloads: 2023-07-07T20:05:31.9299865Z - onnx_args: 2023-07-07T20:05:31.9300067Z - onnx_kwargs: 2023-07-07T20:05:31.9300585Z - diagnostic_context: 2023-07-07T20:05:31.9300861Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9301333Z [2023-07-07 20:02:25,794] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_80]. 2023-07-07T20:05:31.9301568Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9301577Z 2023-07-07T20:05:31.9301928Z [2023-07-07 20:02:25,794] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9302274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9302286Z 2023-07-07T20:05:31.9302599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9303069Z - self: 2023-07-07T20:05:31.9303410Z - node: fx.Node(getitem_80[call_function]'') 2023-07-07T20:05:31.9303606Z - aten_name: 2023-07-07T20:05:31.9303833Z - function_overloads: 2023-07-07T20:05:31.9304032Z - onnx_args: 2023-07-07T20:05:31.9304241Z - onnx_kwargs: 2023-07-07T20:05:31.9304781Z - diagnostic_context: 2023-07-07T20:05:31.9305054Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9305600Z [2023-07-07 20:02:25,795] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_23]. 2023-07-07T20:05:31.9305837Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9305845Z 2023-07-07T20:05:31.9306195Z [2023-07-07 20:02:25,795] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9306538Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9306547Z 2023-07-07T20:05:31.9306860Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9307410Z - self: 2023-07-07T20:05:31.9307789Z - node: fx.Node(convolution_23[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9307983Z - aten_name: 2023-07-07T20:05:31.9308206Z - function_overloads: 2023-07-07T20:05:31.9308394Z - onnx_args: 2023-07-07T20:05:31.9308597Z - onnx_kwargs: 2023-07-07T20:05:31.9309165Z - diagnostic_context: 2023-07-07T20:05:31.9309538Z - Return value: 2023-07-07T20:05:31.9310046Z [2023-07-07 20:02:25,800] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_23]. 2023-07-07T20:05:31.9310288Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9310641Z [2023-07-07 20:02:25,800] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9310780Z ### Exception log 2023-07-07T20:05:31.9310867Z ``` 2023-07-07T20:05:31.9311034Z Traceback (most recent call last): 2023-07-07T20:05:31.9311043Z 2023-07-07T20:05:31.9311639Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9311857Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9311868Z 2023-07-07T20:05:31.9312334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9312494Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9312502Z 2023-07-07T20:05:31.9313055Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9313216Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9313224Z 2023-07-07T20:05:31.9313673Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9313901Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9313927Z 2023-07-07T20:05:31.9314393Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9314707Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9314716Z 2023-07-07T20:05:31.9315305Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9315435Z result = op.Conv( 2023-07-07T20:05:31.9315443Z 2023-07-07T20:05:31.9315954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9316076Z return op( 2023-07-07T20:05:31.9316084Z 2023-07-07T20:05:31.9316554Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9316774Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9316783Z 2023-07-07T20:05:31.9317243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9317456Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9317511Z 2023-07-07T20:05:31.9317967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9318189Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9318198Z 2023-07-07T20:05:31.9318670Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9318967Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9318976Z 2023-07-07T20:05:31.9319457Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9319649Z node.attribute.extend( 2023-07-07T20:05:31.9319658Z 2023-07-07T20:05:31.9320103Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9320252Z make_attribute(key, value) 2023-07-07T20:05:31.9320261Z 2023-07-07T20:05:31.9320719Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9320875Z raise ValueError( 2023-07-07T20:05:31.9320884Z 2023-07-07T20:05:31.9321185Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9321196Z 2023-07-07T20:05:31.9321304Z ``` 2023-07-07T20:05:31.9321511Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9322047Z - diagnostic_context: 2023-07-07T20:05:31.9322434Z - node: fx.Node(convolution_23[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9322806Z - symbolic_fn: 2023-07-07T20:05:31.9323014Z - torch_args: 2023-07-07T20:05:31.9323212Z - torch_kwargs: 2023-07-07T20:05:31.9323431Z - Return value: 2023-07-07T20:05:31.9323955Z [2023-07-07 20:02:25,804] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_23]. 2023-07-07T20:05:31.9324218Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9324229Z 2023-07-07T20:05:31.9324689Z [2023-07-07 20:02:25,804] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9325042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9325052Z 2023-07-07T20:05:31.9325370Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9325852Z - self: 2023-07-07T20:05:31.9326247Z - node: fx.Node(native_batch_norm_23[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9326430Z - aten_name: 2023-07-07T20:05:31.9326659Z - function_overloads: 2023-07-07T20:05:31.9326865Z - onnx_args: 2023-07-07T20:05:31.9327063Z - onnx_kwargs: 2023-07-07T20:05:31.9327599Z - diagnostic_context: 2023-07-07T20:05:31.9327969Z - Return value: 2023-07-07T20:05:31.9328488Z [2023-07-07 20:02:25,809] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_23]. 2023-07-07T20:05:31.9328724Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9329052Z [2023-07-07 20:02:25,809] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9329179Z ### Exception log 2023-07-07T20:05:31.9329283Z ``` 2023-07-07T20:05:31.9329451Z Traceback (most recent call last): 2023-07-07T20:05:31.9329460Z 2023-07-07T20:05:31.9330056Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9330294Z torch.testing.assert_close( 2023-07-07T20:05:31.9330303Z 2023-07-07T20:05:31.9330803Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9330944Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9330969Z 2023-07-07T20:05:31.9331221Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9331231Z 2023-07-07T20:05:31.9331389Z Mismatched elements: 4508 / 9408 (47.9%) 2023-07-07T20:05:31.9331625Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9331911Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9331919Z 2023-07-07T20:05:31.9332078Z ``` 2023-07-07T20:05:31.9332289Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9332822Z - diagnostic_context: 2023-07-07T20:05:31.9333213Z - node: fx.Node(native_batch_norm_23[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9333611Z - symbolic_fn: 2023-07-07T20:05:31.9333815Z - torch_args: 2023-07-07T20:05:31.9334021Z - torch_kwargs: 2023-07-07T20:05:31.9334239Z - Return value: 2023-07-07T20:05:31.9334743Z [2023-07-07 20:02:25,818] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_24]. 2023-07-07T20:05:31.9334987Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9334998Z 2023-07-07T20:05:31.9335338Z [2023-07-07 20:02:25,818] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9335686Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9335695Z 2023-07-07T20:05:31.9335996Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9336459Z - self: 2023-07-07T20:05:31.9336832Z - node: fx.Node(convolution_24[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9337031Z - aten_name: 2023-07-07T20:05:31.9337257Z - function_overloads: 2023-07-07T20:05:31.9337461Z - onnx_args: 2023-07-07T20:05:31.9337665Z - onnx_kwargs: 2023-07-07T20:05:31.9338194Z - diagnostic_context: 2023-07-07T20:05:31.9338548Z - Return value: 2023-07-07T20:05:31.9339057Z [2023-07-07 20:02:25,822] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_24]. 2023-07-07T20:05:31.9339304Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9339651Z [2023-07-07 20:02:25,822] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9339783Z ### Exception log 2023-07-07T20:05:31.9339887Z ``` 2023-07-07T20:05:31.9340055Z Traceback (most recent call last): 2023-07-07T20:05:31.9340064Z 2023-07-07T20:05:31.9340636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9340846Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9340855Z 2023-07-07T20:05:31.9341309Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9341470Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9341479Z 2023-07-07T20:05:31.9342045Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9342211Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9342219Z 2023-07-07T20:05:31.9342715Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9342952Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9342964Z 2023-07-07T20:05:31.9343441Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9343672Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9343683Z 2023-07-07T20:05:31.9344262Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9344417Z result = op.Conv( 2023-07-07T20:05:31.9344425Z 2023-07-07T20:05:31.9344976Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9345102Z return op( 2023-07-07T20:05:31.9345111Z 2023-07-07T20:05:31.9345569Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9345789Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9345835Z 2023-07-07T20:05:31.9346287Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9346511Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9346519Z 2023-07-07T20:05:31.9346983Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9347192Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9347204Z 2023-07-07T20:05:31.9347665Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9347964Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9347973Z 2023-07-07T20:05:31.9348419Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9348571Z node.attribute.extend( 2023-07-07T20:05:31.9348583Z 2023-07-07T20:05:31.9349029Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9349178Z make_attribute(key, value) 2023-07-07T20:05:31.9349187Z 2023-07-07T20:05:31.9349642Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9349771Z raise ValueError( 2023-07-07T20:05:31.9349780Z 2023-07-07T20:05:31.9350082Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9350090Z 2023-07-07T20:05:31.9350198Z ``` 2023-07-07T20:05:31.9350392Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9350925Z - diagnostic_context: 2023-07-07T20:05:31.9351304Z - node: fx.Node(convolution_24[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9351670Z - symbolic_fn: 2023-07-07T20:05:31.9351875Z - torch_args: 2023-07-07T20:05:31.9352086Z - torch_kwargs: 2023-07-07T20:05:31.9352306Z - Return value: 2023-07-07T20:05:31.9352806Z [2023-07-07 20:02:25,828] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_24]. 2023-07-07T20:05:31.9353067Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9353078Z 2023-07-07T20:05:31.9353418Z [2023-07-07 20:02:25,828] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9353768Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9353777Z 2023-07-07T20:05:31.9354093Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9354665Z - self: 2023-07-07T20:05:31.9355077Z - node: fx.Node(native_batch_norm_24[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9355274Z - aten_name: 2023-07-07T20:05:31.9355504Z - function_overloads: 2023-07-07T20:05:31.9355690Z - onnx_args: 2023-07-07T20:05:31.9355894Z - onnx_kwargs: 2023-07-07T20:05:31.9356436Z - diagnostic_context: 2023-07-07T20:05:31.9356854Z - Return value: 2023-07-07T20:05:31.9357405Z [2023-07-07 20:02:25,831] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_24]. 2023-07-07T20:05:31.9357663Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9357984Z [2023-07-07 20:02:25,831] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9358112Z ### Exception log 2023-07-07T20:05:31.9358203Z ``` 2023-07-07T20:05:31.9358406Z Traceback (most recent call last): 2023-07-07T20:05:31.9358415Z 2023-07-07T20:05:31.9359011Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9359180Z torch.testing.assert_close( 2023-07-07T20:05:31.9359188Z 2023-07-07T20:05:31.9359687Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9359851Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9359862Z 2023-07-07T20:05:31.9360130Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9360139Z 2023-07-07T20:05:31.9360300Z Mismatched elements: 2548 / 9408 (27.1%) 2023-07-07T20:05:31.9360528Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9360773Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9360781Z 2023-07-07T20:05:31.9360887Z ``` 2023-07-07T20:05:31.9361093Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9361636Z - diagnostic_context: 2023-07-07T20:05:31.9362035Z - node: fx.Node(native_batch_norm_24[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9362400Z - symbolic_fn: 2023-07-07T20:05:31.9362602Z - torch_args: 2023-07-07T20:05:31.9362799Z - torch_kwargs: 2023-07-07T20:05:31.9363022Z - Return value: 2023-07-07T20:05:31.9363520Z [2023-07-07 20:02:25,834] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_25]. 2023-07-07T20:05:31.9363770Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9363779Z 2023-07-07T20:05:31.9364119Z [2023-07-07 20:02:25,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9364585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9364597Z 2023-07-07T20:05:31.9364919Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9365377Z - self: 2023-07-07T20:05:31.9365755Z - node: fx.Node(convolution_25[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9365940Z - aten_name: 2023-07-07T20:05:31.9366169Z - function_overloads: 2023-07-07T20:05:31.9366377Z - onnx_args: 2023-07-07T20:05:31.9366579Z - onnx_kwargs: 2023-07-07T20:05:31.9367120Z - diagnostic_context: 2023-07-07T20:05:31.9367489Z - Return value: 2023-07-07T20:05:31.9368077Z [2023-07-07 20:02:25,838] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_25]. 2023-07-07T20:05:31.9368313Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9368662Z [2023-07-07 20:02:25,838] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9368786Z ### Exception log 2023-07-07T20:05:31.9368892Z ``` 2023-07-07T20:05:31.9369056Z Traceback (most recent call last): 2023-07-07T20:05:31.9369065Z 2023-07-07T20:05:31.9369648Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9369938Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9369948Z 2023-07-07T20:05:31.9370397Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9370545Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9370574Z 2023-07-07T20:05:31.9371116Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9371320Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9371328Z 2023-07-07T20:05:31.9371780Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9372014Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9372023Z 2023-07-07T20:05:31.9372505Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9372738Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9372749Z 2023-07-07T20:05:31.9373328Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9373463Z result = op.Conv( 2023-07-07T20:05:31.9373474Z 2023-07-07T20:05:31.9373967Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9374072Z return op( 2023-07-07T20:05:31.9374094Z 2023-07-07T20:05:31.9374530Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9374748Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9374756Z 2023-07-07T20:05:31.9375214Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9375438Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9375450Z 2023-07-07T20:05:31.9375897Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9376105Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9376116Z 2023-07-07T20:05:31.9376586Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9376890Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9376901Z 2023-07-07T20:05:31.9377337Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9377474Z node.attribute.extend( 2023-07-07T20:05:31.9377496Z 2023-07-07T20:05:31.9377921Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9378078Z make_attribute(key, value) 2023-07-07T20:05:31.9378087Z 2023-07-07T20:05:31.9378546Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9378674Z raise ValueError( 2023-07-07T20:05:31.9378684Z 2023-07-07T20:05:31.9379032Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9379041Z 2023-07-07T20:05:31.9379149Z ``` 2023-07-07T20:05:31.9379359Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9379889Z - diagnostic_context: 2023-07-07T20:05:31.9380248Z - node: fx.Node(convolution_25[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9380613Z - symbolic_fn: 2023-07-07T20:05:31.9380815Z - torch_args: 2023-07-07T20:05:31.9381058Z - torch_kwargs: 2023-07-07T20:05:31.9381274Z - Return value: 2023-07-07T20:05:31.9381822Z [2023-07-07 20:02:25,843] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_25]. 2023-07-07T20:05:31.9382077Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9382086Z 2023-07-07T20:05:31.9382427Z [2023-07-07 20:02:25,843] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9382758Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9382814Z 2023-07-07T20:05:31.9383116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9383577Z - self: 2023-07-07T20:05:31.9383971Z - node: fx.Node(native_batch_norm_25[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9384169Z - aten_name: 2023-07-07T20:05:31.9384395Z - function_overloads: 2023-07-07T20:05:31.9384602Z - onnx_args: 2023-07-07T20:05:31.9384802Z - onnx_kwargs: 2023-07-07T20:05:31.9385327Z - diagnostic_context: 2023-07-07T20:05:31.9385692Z - Return value: 2023-07-07T20:05:31.9386215Z [2023-07-07 20:02:25,846] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_25]. 2023-07-07T20:05:31.9386475Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9386794Z [2023-07-07 20:02:25,847] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9386921Z ### Exception log 2023-07-07T20:05:31.9387024Z ``` 2023-07-07T20:05:31.9387187Z Traceback (most recent call last): 2023-07-07T20:05:31.9387197Z 2023-07-07T20:05:31.9387756Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9387927Z torch.testing.assert_close( 2023-07-07T20:05:31.9387935Z 2023-07-07T20:05:31.9388430Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9388595Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9388607Z 2023-07-07T20:05:31.9388874Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9388885Z 2023-07-07T20:05:31.9389047Z Mismatched elements: 5292 / 9408 (56.2%) 2023-07-07T20:05:31.9389281Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9389519Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9389529Z 2023-07-07T20:05:31.9389632Z ``` 2023-07-07T20:05:31.9389822Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9390363Z - diagnostic_context: 2023-07-07T20:05:31.9390755Z - node: fx.Node(native_batch_norm_25[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9391120Z - symbolic_fn: 2023-07-07T20:05:31.9391320Z - torch_args: 2023-07-07T20:05:31.9391527Z - torch_kwargs: 2023-07-07T20:05:31.9391788Z - Return value: 2023-07-07T20:05:31.9392205Z [2023-07-07 20:02:25,856] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_6]. 2023-07-07T20:05:31.9392439Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9392448Z 2023-07-07T20:05:31.9392786Z [2023-07-07 20:02:25,856] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9393132Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9393141Z 2023-07-07T20:05:31.9393505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9394002Z - self: 2023-07-07T20:05:31.9394304Z - node: fx.Node(cat_6[call_function]'aten.cat.default') 2023-07-07T20:05:31.9394498Z - aten_name: 2023-07-07T20:05:31.9394798Z - function_overloads: 2023-07-07T20:05:31.9394989Z - onnx_args: 2023-07-07T20:05:31.9395191Z - onnx_kwargs: 2023-07-07T20:05:31.9395768Z - diagnostic_context: 2023-07-07T20:05:31.9396016Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9396479Z [2023-07-07 20:02:25,862] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_6]. 2023-07-07T20:05:31.9396727Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9396736Z 2023-07-07T20:05:31.9397075Z [2023-07-07 20:02:25,862] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9397424Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9397434Z 2023-07-07T20:05:31.9397730Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9398200Z - self: 2023-07-07T20:05:31.9398542Z - node: fx.Node(transpose_6[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9398738Z - aten_name: 2023-07-07T20:05:31.9398966Z - function_overloads: 2023-07-07T20:05:31.9399164Z - onnx_args: 2023-07-07T20:05:31.9399370Z - onnx_kwargs: 2023-07-07T20:05:31.9399892Z - diagnostic_context: 2023-07-07T20:05:31.9400246Z - Return value: 2023-07-07T20:05:31.9400693Z [2023-07-07 20:02:25,864] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_6]. 2023-07-07T20:05:31.9400921Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9400932Z 2023-07-07T20:05:31.9401272Z [2023-07-07 20:02:25,864] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9401621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9401635Z 2023-07-07T20:05:31.9401946Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9402415Z - self: 2023-07-07T20:05:31.9402732Z - node: fx.Node(clone_6[call_function]'aten.clone.default') 2023-07-07T20:05:31.9402918Z - aten_name: 2023-07-07T20:05:31.9403143Z - function_overloads: 2023-07-07T20:05:31.9403348Z - onnx_args: 2023-07-07T20:05:31.9403547Z - onnx_kwargs: 2023-07-07T20:05:31.9404081Z - diagnostic_context: 2023-07-07T20:05:31.9404333Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9404890Z [2023-07-07 20:02:25,870] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_5]. 2023-07-07T20:05:31.9405195Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9405208Z 2023-07-07T20:05:31.9405535Z [2023-07-07 20:02:25,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9405884Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9405893Z 2023-07-07T20:05:31.9406209Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9406673Z - self: 2023-07-07T20:05:31.9407034Z - node: fx.Node(split_5[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.9407272Z - aten_name: 2023-07-07T20:05:31.9407505Z - function_overloads: 2023-07-07T20:05:31.9407703Z - onnx_args: 2023-07-07T20:05:31.9407889Z - onnx_kwargs: 2023-07-07T20:05:31.9408415Z - diagnostic_context: 2023-07-07T20:05:31.9408713Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.9409185Z [2023-07-07 20:02:25,873] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_90]. 2023-07-07T20:05:31.9409420Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9409428Z 2023-07-07T20:05:31.9409764Z [2023-07-07 20:02:25,873] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9410108Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9410120Z 2023-07-07T20:05:31.9410437Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9410899Z - self: 2023-07-07T20:05:31.9411242Z - node: fx.Node(getitem_90[call_function]'') 2023-07-07T20:05:31.9411437Z - aten_name: 2023-07-07T20:05:31.9411671Z - function_overloads: 2023-07-07T20:05:31.9411869Z - onnx_args: 2023-07-07T20:05:31.9412070Z - onnx_kwargs: 2023-07-07T20:05:31.9412601Z - diagnostic_context: 2023-07-07T20:05:31.9412867Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9413332Z [2023-07-07 20:02:25,874] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_91]. 2023-07-07T20:05:31.9413569Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9413578Z 2023-07-07T20:05:31.9413920Z [2023-07-07 20:02:25,874] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9414267Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9414276Z 2023-07-07T20:05:31.9414595Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9415061Z - self: 2023-07-07T20:05:31.9415413Z - node: fx.Node(getitem_91[call_function]'') 2023-07-07T20:05:31.9415606Z - aten_name: 2023-07-07T20:05:31.9415834Z - function_overloads: 2023-07-07T20:05:31.9416019Z - onnx_args: 2023-07-07T20:05:31.9416224Z - onnx_kwargs: 2023-07-07T20:05:31.9416756Z - diagnostic_context: 2023-07-07T20:05:31.9417031Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9417524Z [2023-07-07 20:02:25,876] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_26]. 2023-07-07T20:05:31.9417770Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9417779Z 2023-07-07T20:05:31.9418158Z [2023-07-07 20:02:25,876] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9418506Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9418514Z 2023-07-07T20:05:31.9418813Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9419282Z - self: 2023-07-07T20:05:31.9419647Z - node: fx.Node(convolution_26[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9419877Z - aten_name: 2023-07-07T20:05:31.9420106Z - function_overloads: 2023-07-07T20:05:31.9420343Z - onnx_args: 2023-07-07T20:05:31.9420552Z - onnx_kwargs: 2023-07-07T20:05:31.9421081Z - diagnostic_context: 2023-07-07T20:05:31.9421437Z - Return value: 2023-07-07T20:05:31.9421931Z [2023-07-07 20:02:25,880] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_26]. 2023-07-07T20:05:31.9422207Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9422550Z [2023-07-07 20:02:25,880] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9422673Z ### Exception log 2023-07-07T20:05:31.9422780Z ``` 2023-07-07T20:05:31.9422951Z Traceback (most recent call last): 2023-07-07T20:05:31.9422959Z 2023-07-07T20:05:31.9423544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9423742Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9423751Z 2023-07-07T20:05:31.9424208Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9424369Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9424378Z 2023-07-07T20:05:31.9424946Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9425108Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9425117Z 2023-07-07T20:05:31.9425571Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9425803Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9425815Z 2023-07-07T20:05:31.9426295Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9426530Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9426539Z 2023-07-07T20:05:31.9427119Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9427240Z result = op.Conv( 2023-07-07T20:05:31.9427249Z 2023-07-07T20:05:31.9427748Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9427864Z return op( 2023-07-07T20:05:31.9427875Z 2023-07-07T20:05:31.9428320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9428535Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9428543Z 2023-07-07T20:05:31.9429005Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9429228Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9429237Z 2023-07-07T20:05:31.9429695Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9429912Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9429966Z 2023-07-07T20:05:31.9430434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9430725Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9430734Z 2023-07-07T20:05:31.9431175Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9431333Z node.attribute.extend( 2023-07-07T20:05:31.9431341Z 2023-07-07T20:05:31.9431780Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9431979Z make_attribute(key, value) 2023-07-07T20:05:31.9432021Z 2023-07-07T20:05:31.9432479Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9432613Z raise ValueError( 2023-07-07T20:05:31.9432623Z 2023-07-07T20:05:31.9432923Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9432969Z 2023-07-07T20:05:31.9433073Z ``` 2023-07-07T20:05:31.9433266Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9433796Z - diagnostic_context: 2023-07-07T20:05:31.9434169Z - node: fx.Node(convolution_26[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9434530Z - symbolic_fn: 2023-07-07T20:05:31.9434810Z - torch_args: 2023-07-07T20:05:31.9435025Z - torch_kwargs: 2023-07-07T20:05:31.9435249Z - Return value: 2023-07-07T20:05:31.9435761Z [2023-07-07 20:02:25,885] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_26]. 2023-07-07T20:05:31.9436023Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9436032Z 2023-07-07T20:05:31.9436376Z [2023-07-07 20:02:25,885] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9436727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9436737Z 2023-07-07T20:05:31.9437055Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9437518Z - self: 2023-07-07T20:05:31.9437917Z - node: fx.Node(native_batch_norm_26[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9438116Z - aten_name: 2023-07-07T20:05:31.9438353Z - function_overloads: 2023-07-07T20:05:31.9438538Z - onnx_args: 2023-07-07T20:05:31.9438746Z - onnx_kwargs: 2023-07-07T20:05:31.9439276Z - diagnostic_context: 2023-07-07T20:05:31.9439643Z - Return value: 2023-07-07T20:05:31.9440144Z [2023-07-07 20:02:25,889] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_26]. 2023-07-07T20:05:31.9440400Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9440728Z [2023-07-07 20:02:25,889] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9440855Z ### Exception log 2023-07-07T20:05:31.9440942Z ``` 2023-07-07T20:05:31.9441105Z Traceback (most recent call last): 2023-07-07T20:05:31.9441116Z 2023-07-07T20:05:31.9441707Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9441871Z torch.testing.assert_close( 2023-07-07T20:05:31.9441879Z 2023-07-07T20:05:31.9442374Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9442581Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9442591Z 2023-07-07T20:05:31.9442864Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9442875Z 2023-07-07T20:05:31.9443039Z Mismatched elements: 4116 / 9408 (43.8%) 2023-07-07T20:05:31.9443260Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9443502Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9443510Z 2023-07-07T20:05:31.9443615Z ``` 2023-07-07T20:05:31.9443819Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9444504Z - diagnostic_context: 2023-07-07T20:05:31.9444971Z - node: fx.Node(native_batch_norm_26[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9445341Z - symbolic_fn: 2023-07-07T20:05:31.9445544Z - torch_args: 2023-07-07T20:05:31.9445737Z - torch_kwargs: 2023-07-07T20:05:31.9445961Z - Return value: 2023-07-07T20:05:31.9446516Z [2023-07-07 20:02:25,900] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_27]. 2023-07-07T20:05:31.9446765Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9446774Z 2023-07-07T20:05:31.9447113Z [2023-07-07 20:02:25,900] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9447458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9447470Z 2023-07-07T20:05:31.9447787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9448248Z - self: 2023-07-07T20:05:31.9448617Z - node: fx.Node(convolution_27[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9448796Z - aten_name: 2023-07-07T20:05:31.9449029Z - function_overloads: 2023-07-07T20:05:31.9449230Z - onnx_args: 2023-07-07T20:05:31.9449433Z - onnx_kwargs: 2023-07-07T20:05:31.9449965Z - diagnostic_context: 2023-07-07T20:05:31.9450332Z - Return value: 2023-07-07T20:05:31.9450825Z [2023-07-07 20:02:25,905] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_27]. 2023-07-07T20:05:31.9451063Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9451410Z [2023-07-07 20:02:25,905] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9451534Z ### Exception log 2023-07-07T20:05:31.9451639Z ``` 2023-07-07T20:05:31.9451804Z Traceback (most recent call last): 2023-07-07T20:05:31.9451813Z 2023-07-07T20:05:31.9452402Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9452611Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9452619Z 2023-07-07T20:05:31.9453079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9453234Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9453242Z 2023-07-07T20:05:31.9453782Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9453949Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9453957Z 2023-07-07T20:05:31.9454406Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9454638Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9454647Z 2023-07-07T20:05:31.9455182Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9455418Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9455427Z 2023-07-07T20:05:31.9455999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9456144Z result = op.Conv( 2023-07-07T20:05:31.9456153Z 2023-07-07T20:05:31.9456650Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9456813Z return op( 2023-07-07T20:05:31.9456821Z 2023-07-07T20:05:31.9457292Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9457512Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9457520Z 2023-07-07T20:05:31.9457971Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9458193Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9458265Z 2023-07-07T20:05:31.9458725Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9458934Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9458942Z 2023-07-07T20:05:31.9459406Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9459699Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9459710Z 2023-07-07T20:05:31.9460157Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9460307Z node.attribute.extend( 2023-07-07T20:05:31.9460318Z 2023-07-07T20:05:31.9460745Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9460898Z make_attribute(key, value) 2023-07-07T20:05:31.9460909Z 2023-07-07T20:05:31.9461371Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9461503Z raise ValueError( 2023-07-07T20:05:31.9461511Z 2023-07-07T20:05:31.9461812Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9461820Z 2023-07-07T20:05:31.9461921Z ``` 2023-07-07T20:05:31.9462130Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9462668Z - diagnostic_context: 2023-07-07T20:05:31.9463033Z - node: fx.Node(convolution_27[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9463398Z - symbolic_fn: 2023-07-07T20:05:31.9463599Z - torch_args: 2023-07-07T20:05:31.9463803Z - torch_kwargs: 2023-07-07T20:05:31.9464030Z - Return value: 2023-07-07T20:05:31.9464559Z [2023-07-07 20:02:25,911] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_27]. 2023-07-07T20:05:31.9464814Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9464823Z 2023-07-07T20:05:31.9465162Z [2023-07-07 20:02:25,911] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9465502Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9465526Z 2023-07-07T20:05:31.9465830Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9466296Z - self: 2023-07-07T20:05:31.9466690Z - node: fx.Node(native_batch_norm_27[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9466933Z - aten_name: 2023-07-07T20:05:31.9467169Z - function_overloads: 2023-07-07T20:05:31.9467369Z - onnx_args: 2023-07-07T20:05:31.9467571Z - onnx_kwargs: 2023-07-07T20:05:31.9468088Z - diagnostic_context: 2023-07-07T20:05:31.9468452Z - Return value: 2023-07-07T20:05:31.9468965Z [2023-07-07 20:02:25,914] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_27]. 2023-07-07T20:05:31.9469260Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9469609Z [2023-07-07 20:02:25,914] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9469739Z ### Exception log 2023-07-07T20:05:31.9469844Z ``` 2023-07-07T20:05:31.9470006Z Traceback (most recent call last): 2023-07-07T20:05:31.9470014Z 2023-07-07T20:05:31.9470581Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9470776Z torch.testing.assert_close( 2023-07-07T20:05:31.9470784Z 2023-07-07T20:05:31.9471285Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9471441Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9471450Z 2023-07-07T20:05:31.9471717Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9471726Z 2023-07-07T20:05:31.9471888Z Mismatched elements: 5684 / 9408 (60.4%) 2023-07-07T20:05:31.9472136Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9472380Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9472390Z 2023-07-07T20:05:31.9472495Z ``` 2023-07-07T20:05:31.9472688Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9473222Z - diagnostic_context: 2023-07-07T20:05:31.9473621Z - node: fx.Node(native_batch_norm_27[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9473982Z - symbolic_fn: 2023-07-07T20:05:31.9474182Z - torch_args: 2023-07-07T20:05:31.9474390Z - torch_kwargs: 2023-07-07T20:05:31.9474671Z - Return value: 2023-07-07T20:05:31.9475171Z [2023-07-07 20:02:25,916] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_28]. 2023-07-07T20:05:31.9475410Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9475419Z 2023-07-07T20:05:31.9475760Z [2023-07-07 20:02:25,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9476102Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9476111Z 2023-07-07T20:05:31.9476430Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9476895Z - self: 2023-07-07T20:05:31.9477267Z - node: fx.Node(convolution_28[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9477464Z - aten_name: 2023-07-07T20:05:31.9477689Z - function_overloads: 2023-07-07T20:05:31.9477875Z - onnx_args: 2023-07-07T20:05:31.9478080Z - onnx_kwargs: 2023-07-07T20:05:31.9478614Z - diagnostic_context: 2023-07-07T20:05:31.9478983Z - Return value: 2023-07-07T20:05:31.9479484Z [2023-07-07 20:02:25,921] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_28]. 2023-07-07T20:05:31.9479730Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9480115Z [2023-07-07 20:02:25,921] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9480245Z ### Exception log 2023-07-07T20:05:31.9480332Z ``` 2023-07-07T20:05:31.9480492Z Traceback (most recent call last): 2023-07-07T20:05:31.9480500Z 2023-07-07T20:05:31.9481079Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9481288Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9481296Z 2023-07-07T20:05:31.9481791Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9481984Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9481993Z 2023-07-07T20:05:31.9482547Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9482707Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9482719Z 2023-07-07T20:05:31.9483169Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9483415Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9483427Z 2023-07-07T20:05:31.9483907Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9484141Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9484150Z 2023-07-07T20:05:31.9484848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9484982Z result = op.Conv( 2023-07-07T20:05:31.9484991Z 2023-07-07T20:05:31.9485504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9485622Z return op( 2023-07-07T20:05:31.9485630Z 2023-07-07T20:05:31.9486083Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9486300Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9486308Z 2023-07-07T20:05:31.9486764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9486973Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9486981Z 2023-07-07T20:05:31.9487436Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9487653Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9487664Z 2023-07-07T20:05:31.9488136Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9488436Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9488447Z 2023-07-07T20:05:31.9488886Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9489044Z node.attribute.extend( 2023-07-07T20:05:31.9489053Z 2023-07-07T20:05:31.9489490Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9489639Z make_attribute(key, value) 2023-07-07T20:05:31.9489648Z 2023-07-07T20:05:31.9490105Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9490226Z raise ValueError( 2023-07-07T20:05:31.9490236Z 2023-07-07T20:05:31.9490533Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9490542Z 2023-07-07T20:05:31.9490640Z ``` 2023-07-07T20:05:31.9490849Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9491442Z - diagnostic_context: 2023-07-07T20:05:31.9491814Z - node: fx.Node(convolution_28[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9492183Z - symbolic_fn: 2023-07-07T20:05:31.9492387Z - torch_args: 2023-07-07T20:05:31.9492579Z - torch_kwargs: 2023-07-07T20:05:31.9492800Z - Return value: 2023-07-07T20:05:31.9493317Z [2023-07-07 20:02:25,926] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_28]. 2023-07-07T20:05:31.9493619Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9493628Z 2023-07-07T20:05:31.9494007Z [2023-07-07 20:02:25,926] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9494364Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9494373Z 2023-07-07T20:05:31.9494689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9495202Z - self: 2023-07-07T20:05:31.9495587Z - node: fx.Node(native_batch_norm_28[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9495780Z - aten_name: 2023-07-07T20:05:31.9496006Z - function_overloads: 2023-07-07T20:05:31.9496201Z - onnx_args: 2023-07-07T20:05:31.9496399Z - onnx_kwargs: 2023-07-07T20:05:31.9496927Z - diagnostic_context: 2023-07-07T20:05:31.9497298Z - Return value: 2023-07-07T20:05:31.9497820Z [2023-07-07 20:02:25,930] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_28]. 2023-07-07T20:05:31.9498061Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9498380Z [2023-07-07 20:02:25,930] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9498507Z ### Exception log 2023-07-07T20:05:31.9498613Z ``` 2023-07-07T20:05:31.9498776Z Traceback (most recent call last): 2023-07-07T20:05:31.9498785Z 2023-07-07T20:05:31.9499366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9499530Z torch.testing.assert_close( 2023-07-07T20:05:31.9499539Z 2023-07-07T20:05:31.9500044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9500190Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9500215Z 2023-07-07T20:05:31.9500471Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9500481Z 2023-07-07T20:05:31.9500639Z Mismatched elements: 2940 / 9408 (31.2%) 2023-07-07T20:05:31.9500878Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9501116Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9501127Z 2023-07-07T20:05:31.9501229Z ``` 2023-07-07T20:05:31.9501440Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9501972Z - diagnostic_context: 2023-07-07T20:05:31.9502364Z - node: fx.Node(native_batch_norm_28[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9502720Z - symbolic_fn: 2023-07-07T20:05:31.9502922Z - torch_args: 2023-07-07T20:05:31.9503133Z - torch_kwargs: 2023-07-07T20:05:31.9503355Z - Return value: 2023-07-07T20:05:31.9503791Z [2023-07-07 20:02:25,939] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_7]. 2023-07-07T20:05:31.9504018Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9504061Z 2023-07-07T20:05:31.9504406Z [2023-07-07 20:02:25,939] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9504745Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9504767Z 2023-07-07T20:05:31.9505069Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9505542Z - self: 2023-07-07T20:05:31.9505880Z - node: fx.Node(cat_7[call_function]'aten.cat.default') 2023-07-07T20:05:31.9506077Z - aten_name: 2023-07-07T20:05:31.9506350Z - function_overloads: 2023-07-07T20:05:31.9506553Z - onnx_args: 2023-07-07T20:05:31.9506752Z - onnx_kwargs: 2023-07-07T20:05:31.9507266Z - diagnostic_context: 2023-07-07T20:05:31.9507517Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9508010Z [2023-07-07 20:02:25,944] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_7]. 2023-07-07T20:05:31.9508253Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9508262Z 2023-07-07T20:05:31.9508600Z [2023-07-07 20:02:25,945] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9508941Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9508954Z 2023-07-07T20:05:31.9509272Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9509741Z - self: 2023-07-07T20:05:31.9510082Z - node: fx.Node(transpose_7[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9510267Z - aten_name: 2023-07-07T20:05:31.9510508Z - function_overloads: 2023-07-07T20:05:31.9510706Z - onnx_args: 2023-07-07T20:05:31.9510909Z - onnx_kwargs: 2023-07-07T20:05:31.9511437Z - diagnostic_context: 2023-07-07T20:05:31.9511806Z - Return value: 2023-07-07T20:05:31.9512242Z [2023-07-07 20:02:25,947] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_7]. 2023-07-07T20:05:31.9512455Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9512481Z 2023-07-07T20:05:31.9512806Z [2023-07-07 20:02:25,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9513153Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9513163Z 2023-07-07T20:05:31.9513475Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9513937Z - self: 2023-07-07T20:05:31.9514257Z - node: fx.Node(clone_7[call_function]'aten.clone.default') 2023-07-07T20:05:31.9514448Z - aten_name: 2023-07-07T20:05:31.9514734Z - function_overloads: 2023-07-07T20:05:31.9514941Z - onnx_args: 2023-07-07T20:05:31.9515131Z - onnx_kwargs: 2023-07-07T20:05:31.9515663Z - diagnostic_context: 2023-07-07T20:05:31.9515922Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9516368Z [2023-07-07 20:02:25,953] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_6]. 2023-07-07T20:05:31.9516602Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9516610Z 2023-07-07T20:05:31.9516956Z [2023-07-07 20:02:25,953] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9517359Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9517372Z 2023-07-07T20:05:31.9517689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9518159Z - self: 2023-07-07T20:05:31.9518461Z - node: fx.Node(split_6[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.9518656Z - aten_name: 2023-07-07T20:05:31.9518881Z - function_overloads: 2023-07-07T20:05:31.9519117Z - onnx_args: 2023-07-07T20:05:31.9519318Z - onnx_kwargs: 2023-07-07T20:05:31.9519884Z - diagnostic_context: 2023-07-07T20:05:31.9520139Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.9520591Z [2023-07-07 20:02:25,956] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_101]. 2023-07-07T20:05:31.9520827Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9520873Z 2023-07-07T20:05:31.9521210Z [2023-07-07 20:02:25,956] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9521551Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9521562Z 2023-07-07T20:05:31.9521874Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9522342Z - self: 2023-07-07T20:05:31.9522701Z - node: fx.Node(getitem_101[call_function]'') 2023-07-07T20:05:31.9522896Z - aten_name: 2023-07-07T20:05:31.9523125Z - function_overloads: 2023-07-07T20:05:31.9523307Z - onnx_args: 2023-07-07T20:05:31.9523505Z - onnx_kwargs: 2023-07-07T20:05:31.9524032Z - diagnostic_context: 2023-07-07T20:05:31.9524302Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9524896Z [2023-07-07 20:02:25,957] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_102]. 2023-07-07T20:05:31.9525135Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9525143Z 2023-07-07T20:05:31.9525487Z [2023-07-07 20:02:25,957] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9525841Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9525855Z 2023-07-07T20:05:31.9526160Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9526623Z - self: 2023-07-07T20:05:31.9526979Z - node: fx.Node(getitem_102[call_function]'') 2023-07-07T20:05:31.9527174Z - aten_name: 2023-07-07T20:05:31.9527405Z - function_overloads: 2023-07-07T20:05:31.9527607Z - onnx_args: 2023-07-07T20:05:31.9527810Z - onnx_kwargs: 2023-07-07T20:05:31.9528328Z - diagnostic_context: 2023-07-07T20:05:31.9528589Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9529095Z [2023-07-07 20:02:25,959] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_29]. 2023-07-07T20:05:31.9529351Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9529360Z 2023-07-07T20:05:31.9529702Z [2023-07-07 20:02:25,959] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9530048Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9530120Z 2023-07-07T20:05:31.9530438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9530919Z - self: 2023-07-07T20:05:31.9531294Z - node: fx.Node(convolution_29[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9531475Z - aten_name: 2023-07-07T20:05:31.9531701Z - function_overloads: 2023-07-07T20:05:31.9531898Z - onnx_args: 2023-07-07T20:05:31.9532146Z - onnx_kwargs: 2023-07-07T20:05:31.9532677Z - diagnostic_context: 2023-07-07T20:05:31.9533091Z - Return value: 2023-07-07T20:05:31.9533589Z [2023-07-07 20:02:25,963] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_29]. 2023-07-07T20:05:31.9533837Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9534173Z [2023-07-07 20:02:25,963] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9534346Z ### Exception log 2023-07-07T20:05:31.9534447Z ``` 2023-07-07T20:05:31.9534610Z Traceback (most recent call last): 2023-07-07T20:05:31.9534619Z 2023-07-07T20:05:31.9535210Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9535421Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9535432Z 2023-07-07T20:05:31.9535887Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9536049Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9536057Z 2023-07-07T20:05:31.9536592Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9536755Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9536763Z 2023-07-07T20:05:31.9537215Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9537450Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9537458Z 2023-07-07T20:05:31.9537944Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9538174Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9538188Z 2023-07-07T20:05:31.9538765Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9538901Z result = op.Conv( 2023-07-07T20:05:31.9538909Z 2023-07-07T20:05:31.9539403Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9539527Z return op( 2023-07-07T20:05:31.9539535Z 2023-07-07T20:05:31.9539972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9540195Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9540203Z 2023-07-07T20:05:31.9540656Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9540878Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9540887Z 2023-07-07T20:05:31.9541349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9541564Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9541573Z 2023-07-07T20:05:31.9542036Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9542382Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9542391Z 2023-07-07T20:05:31.9542844Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9543004Z node.attribute.extend( 2023-07-07T20:05:31.9543012Z 2023-07-07T20:05:31.9543439Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9543595Z make_attribute(key, value) 2023-07-07T20:05:31.9543603Z 2023-07-07T20:05:31.9544054Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9544228Z raise ValueError( 2023-07-07T20:05:31.9544237Z 2023-07-07T20:05:31.9544564Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9544574Z 2023-07-07T20:05:31.9544680Z ``` 2023-07-07T20:05:31.9544885Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9545421Z - diagnostic_context: 2023-07-07T20:05:31.9545835Z - node: fx.Node(convolution_29[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9546185Z - symbolic_fn: 2023-07-07T20:05:31.9546388Z - torch_args: 2023-07-07T20:05:31.9546595Z - torch_kwargs: 2023-07-07T20:05:31.9546820Z - Return value: 2023-07-07T20:05:31.9547339Z [2023-07-07 20:02:25,968] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_29]. 2023-07-07T20:05:31.9547603Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9547617Z 2023-07-07T20:05:31.9547962Z [2023-07-07 20:02:25,968] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9548309Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9548320Z 2023-07-07T20:05:31.9548621Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9549093Z - self: 2023-07-07T20:05:31.9549489Z - node: fx.Node(native_batch_norm_29[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9549685Z - aten_name: 2023-07-07T20:05:31.9549918Z - function_overloads: 2023-07-07T20:05:31.9550119Z - onnx_args: 2023-07-07T20:05:31.9550325Z - onnx_kwargs: 2023-07-07T20:05:31.9550853Z - diagnostic_context: 2023-07-07T20:05:31.9551211Z - Return value: 2023-07-07T20:05:31.9551732Z [2023-07-07 20:02:25,971] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_29]. 2023-07-07T20:05:31.9551992Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9552318Z [2023-07-07 20:02:25,972] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9552444Z ### Exception log 2023-07-07T20:05:31.9552551Z ``` 2023-07-07T20:05:31.9552711Z Traceback (most recent call last): 2023-07-07T20:05:31.9552720Z 2023-07-07T20:05:31.9553303Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9553455Z torch.testing.assert_close( 2023-07-07T20:05:31.9553466Z 2023-07-07T20:05:31.9553970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9554126Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9554135Z 2023-07-07T20:05:31.9554409Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9554418Z 2023-07-07T20:05:31.9554583Z Mismatched elements: 5684 / 9408 (60.4%) 2023-07-07T20:05:31.9554957Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9555202Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9555211Z 2023-07-07T20:05:31.9555318Z ``` 2023-07-07T20:05:31.9555511Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9556042Z - diagnostic_context: 2023-07-07T20:05:31.9556435Z - node: fx.Node(native_batch_norm_29[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9556835Z - symbolic_fn: 2023-07-07T20:05:31.9557102Z - torch_args: 2023-07-07T20:05:31.9557312Z - torch_kwargs: 2023-07-07T20:05:31.9557532Z - Return value: 2023-07-07T20:05:31.9558032Z [2023-07-07 20:02:25,981] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_30]. 2023-07-07T20:05:31.9558270Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9558312Z 2023-07-07T20:05:31.9558654Z [2023-07-07 20:02:25,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9559005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9559014Z 2023-07-07T20:05:31.9559328Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9559796Z - self: 2023-07-07T20:05:31.9560182Z - node: fx.Node(convolution_30[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9560379Z - aten_name: 2023-07-07T20:05:31.9560610Z - function_overloads: 2023-07-07T20:05:31.9560792Z - onnx_args: 2023-07-07T20:05:31.9560999Z - onnx_kwargs: 2023-07-07T20:05:31.9561539Z - diagnostic_context: 2023-07-07T20:05:31.9561906Z - Return value: 2023-07-07T20:05:31.9562404Z [2023-07-07 20:02:25,986] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_30]. 2023-07-07T20:05:31.9562648Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9562996Z [2023-07-07 20:02:25,986] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9563120Z ### Exception log 2023-07-07T20:05:31.9563214Z ``` 2023-07-07T20:05:31.9563379Z Traceback (most recent call last): 2023-07-07T20:05:31.9563387Z 2023-07-07T20:05:31.9563966Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9564175Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9564183Z 2023-07-07T20:05:31.9564748Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9564915Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9564923Z 2023-07-07T20:05:31.9565504Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9565667Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9565675Z 2023-07-07T20:05:31.9566130Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9566352Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9566375Z 2023-07-07T20:05:31.9566838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9567073Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9567082Z 2023-07-07T20:05:31.9567736Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9567872Z result = op.Conv( 2023-07-07T20:05:31.9567880Z 2023-07-07T20:05:31.9568377Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9568496Z return op( 2023-07-07T20:05:31.9568505Z 2023-07-07T20:05:31.9568951Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9569210Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9569218Z 2023-07-07T20:05:31.9569714Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9569922Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9569944Z 2023-07-07T20:05:31.9570388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9570606Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9570660Z 2023-07-07T20:05:31.9571133Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9571429Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9571438Z 2023-07-07T20:05:31.9571879Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9572034Z node.attribute.extend( 2023-07-07T20:05:31.9572043Z 2023-07-07T20:05:31.9572497Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9572647Z make_attribute(key, value) 2023-07-07T20:05:31.9572655Z 2023-07-07T20:05:31.9573114Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9573234Z raise ValueError( 2023-07-07T20:05:31.9573241Z 2023-07-07T20:05:31.9573548Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9573556Z 2023-07-07T20:05:31.9573661Z ``` 2023-07-07T20:05:31.9573868Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9574395Z - diagnostic_context: 2023-07-07T20:05:31.9574769Z - node: fx.Node(convolution_30[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9575135Z - symbolic_fn: 2023-07-07T20:05:31.9575343Z - torch_args: 2023-07-07T20:05:31.9575534Z - torch_kwargs: 2023-07-07T20:05:31.9575755Z - Return value: 2023-07-07T20:05:31.9576276Z [2023-07-07 20:02:25,991] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_30]. 2023-07-07T20:05:31.9576534Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9576545Z 2023-07-07T20:05:31.9576888Z [2023-07-07 20:02:25,991] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9577234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9577245Z 2023-07-07T20:05:31.9577559Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9578023Z - self: 2023-07-07T20:05:31.9578423Z - node: fx.Node(native_batch_norm_30[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9578602Z - aten_name: 2023-07-07T20:05:31.9578831Z - function_overloads: 2023-07-07T20:05:31.9579031Z - onnx_args: 2023-07-07T20:05:31.9579233Z - onnx_kwargs: 2023-07-07T20:05:31.9579802Z - diagnostic_context: 2023-07-07T20:05:31.9580171Z - Return value: 2023-07-07T20:05:31.9580684Z [2023-07-07 20:02:25,995] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_30]. 2023-07-07T20:05:31.9580927Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9581250Z [2023-07-07 20:02:25,995] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9581373Z ### Exception log 2023-07-07T20:05:31.9581516Z ``` 2023-07-07T20:05:31.9581682Z Traceback (most recent call last): 2023-07-07T20:05:31.9581691Z 2023-07-07T20:05:31.9582303Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9582467Z torch.testing.assert_close( 2023-07-07T20:05:31.9582475Z 2023-07-07T20:05:31.9582970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9583152Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9583174Z 2023-07-07T20:05:31.9583429Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9583438Z 2023-07-07T20:05:31.9583596Z Mismatched elements: 4900 / 9408 (52.1%) 2023-07-07T20:05:31.9583832Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9584070Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9584081Z 2023-07-07T20:05:31.9584185Z ``` 2023-07-07T20:05:31.9584392Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9584933Z - diagnostic_context: 2023-07-07T20:05:31.9585326Z - node: fx.Node(native_batch_norm_30[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9585681Z - symbolic_fn: 2023-07-07T20:05:31.9585888Z - torch_args: 2023-07-07T20:05:31.9586096Z - torch_kwargs: 2023-07-07T20:05:31.9586315Z - Return value: 2023-07-07T20:05:31.9586815Z [2023-07-07 20:02:25,997] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_31]. 2023-07-07T20:05:31.9587064Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9587072Z 2023-07-07T20:05:31.9587413Z [2023-07-07 20:02:25,997] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9587763Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9587774Z 2023-07-07T20:05:31.9588078Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9588544Z - self: 2023-07-07T20:05:31.9588917Z - node: fx.Node(convolution_31[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9589111Z - aten_name: 2023-07-07T20:05:31.9589340Z - function_overloads: 2023-07-07T20:05:31.9589539Z - onnx_args: 2023-07-07T20:05:31.9589741Z - onnx_kwargs: 2023-07-07T20:05:31.9590277Z - diagnostic_context: 2023-07-07T20:05:31.9590636Z - Return value: 2023-07-07T20:05:31.9591131Z [2023-07-07 20:02:26,001] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_31]. 2023-07-07T20:05:31.9591382Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9591733Z [2023-07-07 20:02:26,001] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9591862Z ### Exception log 2023-07-07T20:05:31.9591968Z ``` 2023-07-07T20:05:31.9592129Z Traceback (most recent call last): 2023-07-07T20:05:31.9592172Z 2023-07-07T20:05:31.9592756Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9592950Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9592959Z 2023-07-07T20:05:31.9593416Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9593574Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9593585Z 2023-07-07T20:05:31.9594180Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9594388Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9594397Z 2023-07-07T20:05:31.9594921Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9595155Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9595164Z 2023-07-07T20:05:31.9595647Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9595913Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9595922Z 2023-07-07T20:05:31.9596492Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9596607Z result = op.Conv( 2023-07-07T20:05:31.9596615Z 2023-07-07T20:05:31.9597111Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9597230Z return op( 2023-07-07T20:05:31.9597241Z 2023-07-07T20:05:31.9597690Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9597910Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9597923Z 2023-07-07T20:05:31.9598375Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9598596Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9598604Z 2023-07-07T20:05:31.9599064Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9599275Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9599283Z 2023-07-07T20:05:31.9599739Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9600043Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9600052Z 2023-07-07T20:05:31.9600496Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9600649Z node.attribute.extend( 2023-07-07T20:05:31.9600658Z 2023-07-07T20:05:31.9601101Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9601255Z make_attribute(key, value) 2023-07-07T20:05:31.9601263Z 2023-07-07T20:05:31.9601723Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9601855Z raise ValueError( 2023-07-07T20:05:31.9601863Z 2023-07-07T20:05:31.9602159Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9602169Z 2023-07-07T20:05:31.9602274Z ``` 2023-07-07T20:05:31.9602464Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9602999Z - diagnostic_context: 2023-07-07T20:05:31.9603374Z - node: fx.Node(convolution_31[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9603734Z - symbolic_fn: 2023-07-07T20:05:31.9603970Z - torch_args: 2023-07-07T20:05:31.9604180Z - torch_kwargs: 2023-07-07T20:05:31.9604507Z - Return value: 2023-07-07T20:05:31.9605019Z [2023-07-07 20:02:26,006] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_31]. 2023-07-07T20:05:31.9605278Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9605287Z 2023-07-07T20:05:31.9605628Z [2023-07-07 20:02:26,006] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9606043Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9606091Z 2023-07-07T20:05:31.9606409Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9606872Z - self: 2023-07-07T20:05:31.9607270Z - node: fx.Node(native_batch_norm_31[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9607513Z - aten_name: 2023-07-07T20:05:31.9607741Z - function_overloads: 2023-07-07T20:05:31.9607932Z - onnx_args: 2023-07-07T20:05:31.9608136Z - onnx_kwargs: 2023-07-07T20:05:31.9608663Z - diagnostic_context: 2023-07-07T20:05:31.9609027Z - Return value: 2023-07-07T20:05:31.9609550Z [2023-07-07 20:02:26,011] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_31]. 2023-07-07T20:05:31.9609813Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9610133Z [2023-07-07 20:02:26,011] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9610254Z ### Exception log 2023-07-07T20:05:31.9610352Z ``` 2023-07-07T20:05:31.9610513Z Traceback (most recent call last): 2023-07-07T20:05:31.9610524Z 2023-07-07T20:05:31.9611120Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9611285Z torch.testing.assert_close( 2023-07-07T20:05:31.9611294Z 2023-07-07T20:05:31.9611783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9611944Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9611953Z 2023-07-07T20:05:31.9612224Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9612233Z 2023-07-07T20:05:31.9612398Z Mismatched elements: 5096 / 9408 (54.2%) 2023-07-07T20:05:31.9612622Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9612860Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9612871Z 2023-07-07T20:05:31.9612979Z ``` 2023-07-07T20:05:31.9613188Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9613728Z - diagnostic_context: 2023-07-07T20:05:31.9614122Z - node: fx.Node(native_batch_norm_31[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9614488Z - symbolic_fn: 2023-07-07T20:05:31.9614691Z - torch_args: 2023-07-07T20:05:31.9614881Z - torch_kwargs: 2023-07-07T20:05:31.9615097Z - Return value: 2023-07-07T20:05:31.9615532Z [2023-07-07 20:02:26,020] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_8]. 2023-07-07T20:05:31.9615758Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9615766Z 2023-07-07T20:05:31.9616105Z [2023-07-07 20:02:26,020] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9616500Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9616510Z 2023-07-07T20:05:31.9616830Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9617300Z - self: 2023-07-07T20:05:31.9617600Z - node: fx.Node(cat_8[call_function]'aten.cat.default') 2023-07-07T20:05:31.9617780Z - aten_name: 2023-07-07T20:05:31.9618011Z - function_overloads: 2023-07-07T20:05:31.9618213Z - onnx_args: 2023-07-07T20:05:31.9618449Z - onnx_kwargs: 2023-07-07T20:05:31.9619015Z - diagnostic_context: 2023-07-07T20:05:31.9619264Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9619717Z [2023-07-07 20:02:26,026] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_8]. 2023-07-07T20:05:31.9619949Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9619957Z 2023-07-07T20:05:31.9620328Z [2023-07-07 20:02:26,026] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9620674Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9620682Z 2023-07-07T20:05:31.9620994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9621465Z - self: 2023-07-07T20:05:31.9621805Z - node: fx.Node(transpose_8[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9621999Z - aten_name: 2023-07-07T20:05:31.9622228Z - function_overloads: 2023-07-07T20:05:31.9622411Z - onnx_args: 2023-07-07T20:05:31.9622608Z - onnx_kwargs: 2023-07-07T20:05:31.9623138Z - diagnostic_context: 2023-07-07T20:05:31.9623507Z - Return value: 2023-07-07T20:05:31.9623949Z [2023-07-07 20:02:26,029] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_8]. 2023-07-07T20:05:31.9624179Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9624188Z 2023-07-07T20:05:31.9624529Z [2023-07-07 20:02:26,029] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9624872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9624884Z 2023-07-07T20:05:31.9625196Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9625650Z - self: 2023-07-07T20:05:31.9625964Z - node: fx.Node(clone_8[call_function]'aten.clone.default') 2023-07-07T20:05:31.9626164Z - aten_name: 2023-07-07T20:05:31.9626392Z - function_overloads: 2023-07-07T20:05:31.9626593Z - onnx_args: 2023-07-07T20:05:31.9626791Z - onnx_kwargs: 2023-07-07T20:05:31.9627321Z - diagnostic_context: 2023-07-07T20:05:31.9627559Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9627998Z [2023-07-07 20:02:26,035] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_7]. 2023-07-07T20:05:31.9628223Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9628237Z 2023-07-07T20:05:31.9628576Z [2023-07-07 20:02:26,035] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9628925Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9628937Z 2023-07-07T20:05:31.9629286Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9629754Z - self: 2023-07-07T20:05:31.9630078Z - node: fx.Node(split_7[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.9630273Z - aten_name: 2023-07-07T20:05:31.9630486Z - function_overloads: 2023-07-07T20:05:31.9630686Z - onnx_args: 2023-07-07T20:05:31.9630886Z - onnx_kwargs: 2023-07-07T20:05:31.9631415Z - diagnostic_context: 2023-07-07T20:05:31.9631703Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.9632212Z [2023-07-07 20:02:26,037] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_112]. 2023-07-07T20:05:31.9632446Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9632454Z 2023-07-07T20:05:31.9632799Z [2023-07-07 20:02:26,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9633130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9633186Z 2023-07-07T20:05:31.9633485Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9633951Z - self: 2023-07-07T20:05:31.9634303Z - node: fx.Node(getitem_112[call_function]'') 2023-07-07T20:05:31.9634498Z - aten_name: 2023-07-07T20:05:31.9634809Z - function_overloads: 2023-07-07T20:05:31.9635011Z - onnx_args: 2023-07-07T20:05:31.9635217Z - onnx_kwargs: 2023-07-07T20:05:31.9635730Z - diagnostic_context: 2023-07-07T20:05:31.9635991Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9636475Z [2023-07-07 20:02:26,039] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_113]. 2023-07-07T20:05:31.9636714Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9636723Z 2023-07-07T20:05:31.9637064Z [2023-07-07 20:02:26,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9637412Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9637420Z 2023-07-07T20:05:31.9637740Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9638210Z - self: 2023-07-07T20:05:31.9638562Z - node: fx.Node(getitem_113[call_function]'') 2023-07-07T20:05:31.9638739Z - aten_name: 2023-07-07T20:05:31.9638969Z - function_overloads: 2023-07-07T20:05:31.9639165Z - onnx_args: 2023-07-07T20:05:31.9639369Z - onnx_kwargs: 2023-07-07T20:05:31.9639900Z - diagnostic_context: 2023-07-07T20:05:31.9640168Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9640659Z [2023-07-07 20:02:26,040] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_32]. 2023-07-07T20:05:31.9640894Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9640920Z 2023-07-07T20:05:31.9641243Z [2023-07-07 20:02:26,040] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9641597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9641605Z 2023-07-07T20:05:31.9641921Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9642440Z - self: 2023-07-07T20:05:31.9642814Z - node: fx.Node(convolution_32[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9643015Z - aten_name: 2023-07-07T20:05:31.9643244Z - function_overloads: 2023-07-07T20:05:31.9643448Z - onnx_args: 2023-07-07T20:05:31.9643636Z - onnx_kwargs: 2023-07-07T20:05:31.9644162Z - diagnostic_context: 2023-07-07T20:05:31.9644638Z - Return value: 2023-07-07T20:05:31.9645203Z [2023-07-07 20:02:26,045] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_32]. 2023-07-07T20:05:31.9645489Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9645838Z [2023-07-07 20:02:26,045] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9645967Z ### Exception log 2023-07-07T20:05:31.9646056Z ``` 2023-07-07T20:05:31.9646221Z Traceback (most recent call last): 2023-07-07T20:05:31.9646230Z 2023-07-07T20:05:31.9646861Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9647068Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9647077Z 2023-07-07T20:05:31.9647532Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9647691Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9647703Z 2023-07-07T20:05:31.9648257Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9648421Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9648429Z 2023-07-07T20:05:31.9648881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9649114Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9649124Z 2023-07-07T20:05:31.9649594Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9649823Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9649832Z 2023-07-07T20:05:31.9650412Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9650543Z result = op.Conv( 2023-07-07T20:05:31.9650555Z 2023-07-07T20:05:31.9651057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9651178Z return op( 2023-07-07T20:05:31.9651186Z 2023-07-07T20:05:31.9651639Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9651856Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9651865Z 2023-07-07T20:05:31.9652327Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9652535Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9652557Z 2023-07-07T20:05:31.9653004Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9653216Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9653224Z 2023-07-07T20:05:31.9653696Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9653996Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9654005Z 2023-07-07T20:05:31.9654445Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9654653Z node.attribute.extend( 2023-07-07T20:05:31.9654663Z 2023-07-07T20:05:31.9655108Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9655265Z make_attribute(key, value) 2023-07-07T20:05:31.9655273Z 2023-07-07T20:05:31.9655731Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9655850Z raise ValueError( 2023-07-07T20:05:31.9655873Z 2023-07-07T20:05:31.9656153Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9656223Z 2023-07-07T20:05:31.9656329Z ``` 2023-07-07T20:05:31.9656574Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9657109Z - diagnostic_context: 2023-07-07T20:05:31.9657482Z - node: fx.Node(convolution_32[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9657841Z - symbolic_fn: 2023-07-07T20:05:31.9658048Z - torch_args: 2023-07-07T20:05:31.9658277Z - torch_kwargs: 2023-07-07T20:05:31.9658502Z - Return value: 2023-07-07T20:05:31.9659024Z [2023-07-07 20:02:26,049] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_32]. 2023-07-07T20:05:31.9659278Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9659287Z 2023-07-07T20:05:31.9659631Z [2023-07-07 20:02:26,049] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9659981Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9659990Z 2023-07-07T20:05:31.9660306Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9660776Z - self: 2023-07-07T20:05:31.9661170Z - node: fx.Node(native_batch_norm_32[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9661353Z - aten_name: 2023-07-07T20:05:31.9661586Z - function_overloads: 2023-07-07T20:05:31.9661781Z - onnx_args: 2023-07-07T20:05:31.9661983Z - onnx_kwargs: 2023-07-07T20:05:31.9662516Z - diagnostic_context: 2023-07-07T20:05:31.9662881Z - Return value: 2023-07-07T20:05:31.9663403Z [2023-07-07 20:02:26,053] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_32]. 2023-07-07T20:05:31.9663653Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9663958Z [2023-07-07 20:02:26,053] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9664083Z ### Exception log 2023-07-07T20:05:31.9664191Z ``` 2023-07-07T20:05:31.9664356Z Traceback (most recent call last): 2023-07-07T20:05:31.9664367Z 2023-07-07T20:05:31.9664949Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9665108Z torch.testing.assert_close( 2023-07-07T20:05:31.9665117Z 2023-07-07T20:05:31.9665610Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9665770Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9665781Z 2023-07-07T20:05:31.9666037Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9666045Z 2023-07-07T20:05:31.9666209Z Mismatched elements: 5292 / 9408 (56.2%) 2023-07-07T20:05:31.9666449Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9666692Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9666700Z 2023-07-07T20:05:31.9666841Z ``` 2023-07-07T20:05:31.9667051Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9667579Z - diagnostic_context: 2023-07-07T20:05:31.9667978Z - node: fx.Node(native_batch_norm_32[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9668329Z - symbolic_fn: 2023-07-07T20:05:31.9668530Z - torch_args: 2023-07-07T20:05:31.9668734Z - torch_kwargs: 2023-07-07T20:05:31.9668995Z - Return value: 2023-07-07T20:05:31.9669527Z [2023-07-07 20:02:26,063] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_33]. 2023-07-07T20:05:31.9669774Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9669782Z 2023-07-07T20:05:31.9670129Z [2023-07-07 20:02:26,063] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9670479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9670521Z 2023-07-07T20:05:31.9670840Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9671293Z - self: 2023-07-07T20:05:31.9671658Z - node: fx.Node(convolution_33[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9671847Z - aten_name: 2023-07-07T20:05:31.9672081Z - function_overloads: 2023-07-07T20:05:31.9672278Z - onnx_args: 2023-07-07T20:05:31.9672483Z - onnx_kwargs: 2023-07-07T20:05:31.9673014Z - diagnostic_context: 2023-07-07T20:05:31.9673366Z - Return value: 2023-07-07T20:05:31.9673871Z [2023-07-07 20:02:26,067] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_33]. 2023-07-07T20:05:31.9674116Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9674466Z [2023-07-07 20:02:26,068] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9674592Z ### Exception log 2023-07-07T20:05:31.9674759Z ``` 2023-07-07T20:05:31.9674924Z Traceback (most recent call last): 2023-07-07T20:05:31.9674932Z 2023-07-07T20:05:31.9675510Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9675702Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9675714Z 2023-07-07T20:05:31.9676170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9676333Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9676341Z 2023-07-07T20:05:31.9676904Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9677067Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9677075Z 2023-07-07T20:05:31.9677531Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9677763Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9677771Z 2023-07-07T20:05:31.9678248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9678485Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9678494Z 2023-07-07T20:05:31.9679073Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9679188Z result = op.Conv( 2023-07-07T20:05:31.9679196Z 2023-07-07T20:05:31.9679735Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9679858Z return op( 2023-07-07T20:05:31.9679866Z 2023-07-07T20:05:31.9680320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9680538Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9680547Z 2023-07-07T20:05:31.9680999Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9681260Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9681268Z 2023-07-07T20:05:31.9681771Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9681986Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9681994Z 2023-07-07T20:05:31.9682457Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9682741Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9682786Z 2023-07-07T20:05:31.9683223Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9683373Z node.attribute.extend( 2023-07-07T20:05:31.9683382Z 2023-07-07T20:05:31.9683826Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9683978Z make_attribute(key, value) 2023-07-07T20:05:31.9683986Z 2023-07-07T20:05:31.9684556Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9684696Z raise ValueError( 2023-07-07T20:05:31.9684705Z 2023-07-07T20:05:31.9685000Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9685010Z 2023-07-07T20:05:31.9685114Z ``` 2023-07-07T20:05:31.9685309Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9685846Z - diagnostic_context: 2023-07-07T20:05:31.9686223Z - node: fx.Node(convolution_33[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9686589Z - symbolic_fn: 2023-07-07T20:05:31.9686792Z - torch_args: 2023-07-07T20:05:31.9687001Z - torch_kwargs: 2023-07-07T20:05:31.9687219Z - Return value: 2023-07-07T20:05:31.9687752Z [2023-07-07 20:02:26,073] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_33]. 2023-07-07T20:05:31.9687995Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9688004Z 2023-07-07T20:05:31.9688346Z [2023-07-07 20:02:26,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9688696Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9688709Z 2023-07-07T20:05:31.9689018Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9689333Z - self: 2023-07-07T20:05:31.9689555Z - node: fx.Node(native_batch_norm_33[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9689668Z - aten_name: 2023-07-07T20:05:31.9689801Z - function_overloads: 2023-07-07T20:05:31.9689903Z - onnx_args: 2023-07-07T20:05:31.9690018Z - onnx_kwargs: 2023-07-07T20:05:31.9690323Z - diagnostic_context: 2023-07-07T20:05:31.9690533Z - Return value: 2023-07-07T20:05:31.9690881Z [2023-07-07 20:02:26,076] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_33]. 2023-07-07T20:05:31.9691035Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9691219Z [2023-07-07 20:02:26,077] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9691293Z ### Exception log 2023-07-07T20:05:31.9691341Z ``` 2023-07-07T20:05:31.9691436Z Traceback (most recent call last): 2023-07-07T20:05:31.9691441Z 2023-07-07T20:05:31.9691774Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9691905Z torch.testing.assert_close( 2023-07-07T20:05:31.9691910Z 2023-07-07T20:05:31.9692230Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9692324Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9692330Z 2023-07-07T20:05:31.9692488Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9692494Z 2023-07-07T20:05:31.9692589Z Mismatched elements: 4312 / 9408 (45.8%) 2023-07-07T20:05:31.9692761Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9692889Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9692894Z 2023-07-07T20:05:31.9692954Z ``` 2023-07-07T20:05:31.9693074Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9693376Z - diagnostic_context: 2023-07-07T20:05:31.9693605Z - node: fx.Node(native_batch_norm_33[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9693815Z - symbolic_fn: 2023-07-07T20:05:31.9693933Z - torch_args: 2023-07-07T20:05:31.9694039Z - torch_kwargs: 2023-07-07T20:05:31.9694166Z - Return value: 2023-07-07T20:05:31.9694453Z [2023-07-07 20:02:26,079] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_34]. 2023-07-07T20:05:31.9694598Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9694603Z 2023-07-07T20:05:31.9694803Z [2023-07-07 20:02:26,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9695005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9695010Z 2023-07-07T20:05:31.9695193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9695465Z - self: 2023-07-07T20:05:31.9695677Z - node: fx.Node(convolution_34[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9695777Z - aten_name: 2023-07-07T20:05:31.9695909Z - function_overloads: 2023-07-07T20:05:31.9696026Z - onnx_args: 2023-07-07T20:05:31.9696143Z - onnx_kwargs: 2023-07-07T20:05:31.9696447Z - diagnostic_context: 2023-07-07T20:05:31.9696657Z - Return value: 2023-07-07T20:05:31.9696941Z [2023-07-07 20:02:26,083] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_34]. 2023-07-07T20:05:31.9697084Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9697270Z [2023-07-07 20:02:26,083] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9697345Z ### Exception log 2023-07-07T20:05:31.9697405Z ``` 2023-07-07T20:05:31.9697502Z Traceback (most recent call last): 2023-07-07T20:05:31.9697508Z 2023-07-07T20:05:31.9697838Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9697986Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9697993Z 2023-07-07T20:05:31.9698254Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9698349Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9698354Z 2023-07-07T20:05:31.9698657Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9698754Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9698785Z 2023-07-07T20:05:31.9699044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9699207Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9699214Z 2023-07-07T20:05:31.9699488Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9699624Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9699630Z 2023-07-07T20:05:31.9699984Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9700062Z result = op.Conv( 2023-07-07T20:05:31.9700067Z 2023-07-07T20:05:31.9700349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9700421Z return op( 2023-07-07T20:05:31.9700426Z 2023-07-07T20:05:31.9700673Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9700804Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9700809Z 2023-07-07T20:05:31.9701068Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9701198Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9701206Z 2023-07-07T20:05:31.9701466Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9701592Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9701598Z 2023-07-07T20:05:31.9701867Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9702042Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9702048Z 2023-07-07T20:05:31.9702303Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9702397Z node.attribute.extend( 2023-07-07T20:05:31.9702402Z 2023-07-07T20:05:31.9702640Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9702729Z make_attribute(key, value) 2023-07-07T20:05:31.9702734Z 2023-07-07T20:05:31.9702993Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9703076Z raise ValueError( 2023-07-07T20:05:31.9703082Z 2023-07-07T20:05:31.9703256Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9703261Z 2023-07-07T20:05:31.9703321Z ``` 2023-07-07T20:05:31.9703443Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9703750Z - diagnostic_context: 2023-07-07T20:05:31.9703955Z - node: fx.Node(convolution_34[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9704167Z - symbolic_fn: 2023-07-07T20:05:31.9704284Z - torch_args: 2023-07-07T20:05:31.9704408Z - torch_kwargs: 2023-07-07T20:05:31.9704537Z - Return value: 2023-07-07T20:05:31.9704862Z [2023-07-07 20:02:26,088] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_34]. 2023-07-07T20:05:31.9705018Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9705024Z 2023-07-07T20:05:31.9705220Z [2023-07-07 20:02:26,088] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9705424Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9705430Z 2023-07-07T20:05:31.9705600Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9705924Z - self: 2023-07-07T20:05:31.9706152Z - node: fx.Node(native_batch_norm_34[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9706265Z - aten_name: 2023-07-07T20:05:31.9706395Z - function_overloads: 2023-07-07T20:05:31.9706513Z - onnx_args: 2023-07-07T20:05:31.9706629Z - onnx_kwargs: 2023-07-07T20:05:31.9706947Z - diagnostic_context: 2023-07-07T20:05:31.9707160Z - Return value: 2023-07-07T20:05:31.9707454Z [2023-07-07 20:02:26,092] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_34]. 2023-07-07T20:05:31.9707604Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9707793Z [2023-07-07 20:02:26,092] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9707869Z ### Exception log 2023-07-07T20:05:31.9707930Z ``` 2023-07-07T20:05:31.9708028Z Traceback (most recent call last): 2023-07-07T20:05:31.9708033Z 2023-07-07T20:05:31.9708352Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9708452Z torch.testing.assert_close( 2023-07-07T20:05:31.9708458Z 2023-07-07T20:05:31.9708743Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9708837Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9708842Z 2023-07-07T20:05:31.9709001Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9709006Z 2023-07-07T20:05:31.9709101Z Mismatched elements: 4312 / 9408 (45.8%) 2023-07-07T20:05:31.9709240Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9709383Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9709388Z 2023-07-07T20:05:31.9709452Z ``` 2023-07-07T20:05:31.9709561Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9709865Z - diagnostic_context: 2023-07-07T20:05:31.9710089Z - node: fx.Node(native_batch_norm_34[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9710300Z - symbolic_fn: 2023-07-07T20:05:31.9710417Z - torch_args: 2023-07-07T20:05:31.9710535Z - torch_kwargs: 2023-07-07T20:05:31.9710662Z - Return value: 2023-07-07T20:05:31.9710908Z [2023-07-07 20:02:26,101] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_9]. 2023-07-07T20:05:31.9711027Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9711035Z 2023-07-07T20:05:31.9711229Z [2023-07-07 20:02:26,101] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9711435Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9711440Z 2023-07-07T20:05:31.9711624Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9711933Z - self: 2023-07-07T20:05:31.9712109Z - node: fx.Node(cat_9[call_function]'aten.cat.default') 2023-07-07T20:05:31.9712222Z - aten_name: 2023-07-07T20:05:31.9712353Z - function_overloads: 2023-07-07T20:05:31.9712456Z - onnx_args: 2023-07-07T20:05:31.9712572Z - onnx_kwargs: 2023-07-07T20:05:31.9712876Z - diagnostic_context: 2023-07-07T20:05:31.9713019Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9713313Z [2023-07-07 20:02:26,107] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_9]. 2023-07-07T20:05:31.9713483Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9713490Z 2023-07-07T20:05:31.9713687Z [2023-07-07 20:02:26,107] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9713895Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9713927Z 2023-07-07T20:05:31.9714113Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9714368Z - self: 2023-07-07T20:05:31.9714561Z - node: fx.Node(transpose_9[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9714779Z - aten_name: 2023-07-07T20:05:31.9714917Z - function_overloads: 2023-07-07T20:05:31.9715035Z - onnx_args: 2023-07-07T20:05:31.9715151Z - onnx_kwargs: 2023-07-07T20:05:31.9715455Z - diagnostic_context: 2023-07-07T20:05:31.9715653Z - Return value: 2023-07-07T20:05:31.9715907Z [2023-07-07 20:02:26,110] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_9]. 2023-07-07T20:05:31.9716043Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9716051Z 2023-07-07T20:05:31.9716248Z [2023-07-07 20:02:26,110] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9716450Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9716456Z 2023-07-07T20:05:31.9716637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9716905Z - self: 2023-07-07T20:05:31.9717094Z - node: fx.Node(clone_9[call_function]'aten.clone.default') 2023-07-07T20:05:31.9717208Z - aten_name: 2023-07-07T20:05:31.9717327Z - function_overloads: 2023-07-07T20:05:31.9717441Z - onnx_args: 2023-07-07T20:05:31.9717576Z - onnx_kwargs: 2023-07-07T20:05:31.9717965Z - diagnostic_context: 2023-07-07T20:05:31.9718117Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9718372Z [2023-07-07 20:02:26,115] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_8]. 2023-07-07T20:05:31.9718507Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9718512Z 2023-07-07T20:05:31.9718708Z [2023-07-07 20:02:26,115] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9718894Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9718903Z 2023-07-07T20:05:31.9719085Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9719352Z - self: 2023-07-07T20:05:31.9719532Z - node: fx.Node(split_8[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.9719688Z - aten_name: 2023-07-07T20:05:31.9719821Z - function_overloads: 2023-07-07T20:05:31.9719938Z - onnx_args: 2023-07-07T20:05:31.9720042Z - onnx_kwargs: 2023-07-07T20:05:31.9720345Z - diagnostic_context: 2023-07-07T20:05:31.9720492Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.9720766Z [2023-07-07 20:02:26,118] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_123]. 2023-07-07T20:05:31.9720931Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9720937Z 2023-07-07T20:05:31.9721160Z [2023-07-07 20:02:26,118] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9721365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9721371Z 2023-07-07T20:05:31.9721555Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9721850Z - self: 2023-07-07T20:05:31.9722039Z - node: fx.Node(getitem_123[call_function]'') 2023-07-07T20:05:31.9722153Z - aten_name: 2023-07-07T20:05:31.9722286Z - function_overloads: 2023-07-07T20:05:31.9722401Z - onnx_args: 2023-07-07T20:05:31.9722517Z - onnx_kwargs: 2023-07-07T20:05:31.9722818Z - diagnostic_context: 2023-07-07T20:05:31.9722973Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9723246Z [2023-07-07 20:02:26,119] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_124]. 2023-07-07T20:05:31.9723371Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9723376Z 2023-07-07T20:05:31.9723573Z [2023-07-07 20:02:26,119] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9723776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9723782Z 2023-07-07T20:05:31.9723962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9724229Z - self: 2023-07-07T20:05:31.9724547Z - node: fx.Node(getitem_124[call_function]'') 2023-07-07T20:05:31.9724735Z - aten_name: 2023-07-07T20:05:31.9724922Z - function_overloads: 2023-07-07T20:05:31.9725029Z - onnx_args: 2023-07-07T20:05:31.9725148Z - onnx_kwargs: 2023-07-07T20:05:31.9725453Z - diagnostic_context: 2023-07-07T20:05:31.9725606Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9725895Z [2023-07-07 20:02:26,121] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_35]. 2023-07-07T20:05:31.9726042Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9726049Z 2023-07-07T20:05:31.9726244Z [2023-07-07 20:02:26,121] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9726446Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9726452Z 2023-07-07T20:05:31.9726638Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9726892Z - self: 2023-07-07T20:05:31.9727106Z - node: fx.Node(convolution_35[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9727220Z - aten_name: 2023-07-07T20:05:31.9727353Z - function_overloads: 2023-07-07T20:05:31.9727563Z - onnx_args: 2023-07-07T20:05:31.9727686Z - onnx_kwargs: 2023-07-07T20:05:31.9727988Z - diagnostic_context: 2023-07-07T20:05:31.9734838Z - Return value: 2023-07-07T20:05:31.9735256Z [2023-07-07 20:02:26,127] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_35]. 2023-07-07T20:05:31.9735399Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9735728Z [2023-07-07 20:02:26,127] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9735806Z ### Exception log 2023-07-07T20:05:31.9735918Z ``` 2023-07-07T20:05:31.9736021Z Traceback (most recent call last): 2023-07-07T20:05:31.9736029Z 2023-07-07T20:05:31.9736372Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9736501Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9736554Z 2023-07-07T20:05:31.9736820Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9736903Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9736922Z 2023-07-07T20:05:31.9737229Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9737325Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9737333Z 2023-07-07T20:05:31.9737593Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9737731Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9737737Z 2023-07-07T20:05:31.9738013Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9738151Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9738158Z 2023-07-07T20:05:31.9738486Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9738564Z result = op.Conv( 2023-07-07T20:05:31.9738570Z 2023-07-07T20:05:31.9738853Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9738912Z return op( 2023-07-07T20:05:31.9738933Z 2023-07-07T20:05:31.9739176Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9739304Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9739310Z 2023-07-07T20:05:31.9739571Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9739705Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9739711Z 2023-07-07T20:05:31.9739970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9740093Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9740098Z 2023-07-07T20:05:31.9740366Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9740542Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9740551Z 2023-07-07T20:05:31.9740806Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9740887Z node.attribute.extend( 2023-07-07T20:05:31.9740905Z 2023-07-07T20:05:31.9741148Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9741237Z make_attribute(key, value) 2023-07-07T20:05:31.9741273Z 2023-07-07T20:05:31.9741535Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9741618Z raise ValueError( 2023-07-07T20:05:31.9741624Z 2023-07-07T20:05:31.9741799Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9741805Z 2023-07-07T20:05:31.9741866Z ``` 2023-07-07T20:05:31.9741987Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9742295Z - diagnostic_context: 2023-07-07T20:05:31.9742572Z - node: fx.Node(convolution_35[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9742785Z - symbolic_fn: 2023-07-07T20:05:31.9742903Z - torch_args: 2023-07-07T20:05:31.9743026Z - torch_kwargs: 2023-07-07T20:05:31.9743154Z - Return value: 2023-07-07T20:05:31.9743455Z [2023-07-07 20:02:26,132] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_35]. 2023-07-07T20:05:31.9743636Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9743641Z 2023-07-07T20:05:31.9743838Z [2023-07-07 20:02:26,133] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9744031Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9744049Z 2023-07-07T20:05:31.9744225Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9744499Z - self: 2023-07-07T20:05:31.9744727Z - node: fx.Node(native_batch_norm_35[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9744842Z - aten_name: 2023-07-07T20:05:31.9744976Z - function_overloads: 2023-07-07T20:05:31.9745094Z - onnx_args: 2023-07-07T20:05:31.9745214Z - onnx_kwargs: 2023-07-07T20:05:31.9745507Z - diagnostic_context: 2023-07-07T20:05:31.9745720Z - Return value: 2023-07-07T20:05:31.9746016Z [2023-07-07 20:02:26,136] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_35]. 2023-07-07T20:05:31.9746166Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9746354Z [2023-07-07 20:02:26,136] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9746430Z ### Exception log 2023-07-07T20:05:31.9746492Z ``` 2023-07-07T20:05:31.9746576Z Traceback (most recent call last): 2023-07-07T20:05:31.9746594Z 2023-07-07T20:05:31.9746914Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9747014Z torch.testing.assert_close( 2023-07-07T20:05:31.9747021Z 2023-07-07T20:05:31.9747306Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9747398Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9747405Z 2023-07-07T20:05:31.9747562Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9747568Z 2023-07-07T20:05:31.9747664Z Mismatched elements: 4704 / 9408 (50.0%) 2023-07-07T20:05:31.9747806Z Greatest absolute difference: nan at index (0, 3, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9747954Z Greatest relative difference: nan at index (0, 3, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9747960Z 2023-07-07T20:05:31.9748021Z ``` 2023-07-07T20:05:31.9748128Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9748437Z - diagnostic_context: 2023-07-07T20:05:31.9748692Z - node: fx.Node(native_batch_norm_35[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9748909Z - symbolic_fn: 2023-07-07T20:05:31.9749028Z - torch_args: 2023-07-07T20:05:31.9749149Z - torch_kwargs: 2023-07-07T20:05:31.9749278Z - Return value: 2023-07-07T20:05:31.9749552Z [2023-07-07 20:02:26,147] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_36]. 2023-07-07T20:05:31.9749698Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9749734Z 2023-07-07T20:05:31.9749968Z [2023-07-07 20:02:26,147] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9750174Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9750180Z 2023-07-07T20:05:31.9750367Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9750632Z - self: 2023-07-07T20:05:31.9750876Z - node: fx.Node(convolution_36[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9750992Z - aten_name: 2023-07-07T20:05:31.9751124Z - function_overloads: 2023-07-07T20:05:31.9751227Z - onnx_args: 2023-07-07T20:05:31.9751345Z - onnx_kwargs: 2023-07-07T20:05:31.9751651Z - diagnostic_context: 2023-07-07T20:05:31.9751867Z - Return value: 2023-07-07T20:05:31.9752157Z [2023-07-07 20:02:26,153] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_36]. 2023-07-07T20:05:31.9752302Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9752504Z [2023-07-07 20:02:26,153] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9752566Z ### Exception log 2023-07-07T20:05:31.9752630Z ``` 2023-07-07T20:05:31.9752725Z Traceback (most recent call last): 2023-07-07T20:05:31.9752731Z 2023-07-07T20:05:31.9753064Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9753188Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9753194Z 2023-07-07T20:05:31.9753454Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9753552Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9753557Z 2023-07-07T20:05:31.9753878Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9753975Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9753981Z 2023-07-07T20:05:31.9754243Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9754367Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9754373Z 2023-07-07T20:05:31.9754742Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9754881Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9754886Z 2023-07-07T20:05:31.9755216Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9755301Z result = op.Conv( 2023-07-07T20:05:31.9755309Z 2023-07-07T20:05:31.9755597Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9755669Z return op( 2023-07-07T20:05:31.9755674Z 2023-07-07T20:05:31.9755965Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9756096Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9756102Z 2023-07-07T20:05:31.9756349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9756480Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9756486Z 2023-07-07T20:05:31.9756747Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9756901Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9756907Z 2023-07-07T20:05:31.9757204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9757382Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9757387Z 2023-07-07T20:05:31.9757642Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9757761Z node.attribute.extend( 2023-07-07T20:05:31.9757767Z 2023-07-07T20:05:31.9758020Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9758108Z make_attribute(key, value) 2023-07-07T20:05:31.9758113Z 2023-07-07T20:05:31.9758361Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9758440Z raise ValueError( 2023-07-07T20:05:31.9758448Z 2023-07-07T20:05:31.9758621Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9758629Z 2023-07-07T20:05:31.9758690Z ``` 2023-07-07T20:05:31.9758811Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9759119Z - diagnostic_context: 2023-07-07T20:05:31.9759337Z - node: fx.Node(convolution_36[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9759550Z - symbolic_fn: 2023-07-07T20:05:31.9759656Z - torch_args: 2023-07-07T20:05:31.9759776Z - torch_kwargs: 2023-07-07T20:05:31.9759905Z - Return value: 2023-07-07T20:05:31.9760205Z [2023-07-07 20:02:26,160] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_36]. 2023-07-07T20:05:31.9760357Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9760365Z 2023-07-07T20:05:31.9760565Z [2023-07-07 20:02:26,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9760768Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9760774Z 2023-07-07T20:05:31.9760962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9761232Z - self: 2023-07-07T20:05:31.9761448Z - node: fx.Node(native_batch_norm_36[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9761563Z - aten_name: 2023-07-07T20:05:31.9761696Z - function_overloads: 2023-07-07T20:05:31.9761812Z - onnx_args: 2023-07-07T20:05:31.9761927Z - onnx_kwargs: 2023-07-07T20:05:31.9762235Z - diagnostic_context: 2023-07-07T20:05:31.9762439Z - Return value: 2023-07-07T20:05:31.9762739Z [2023-07-07 20:02:26,165] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_36]. 2023-07-07T20:05:31.9762889Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9763106Z [2023-07-07 20:02:26,165] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9763186Z ### Exception log 2023-07-07T20:05:31.9763252Z ``` 2023-07-07T20:05:31.9763348Z Traceback (most recent call last): 2023-07-07T20:05:31.9763354Z 2023-07-07T20:05:31.9763683Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9763767Z torch.testing.assert_close( 2023-07-07T20:05:31.9763772Z 2023-07-07T20:05:31.9764057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9764182Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9764188Z 2023-07-07T20:05:31.9764372Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9764504Z 2023-07-07T20:05:31.9764644Z Mismatched elements: 4116 / 9408 (43.8%) 2023-07-07T20:05:31.9764795Z Greatest absolute difference: nan at index (0, 3, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9764942Z Greatest relative difference: nan at index (0, 3, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9764998Z 2023-07-07T20:05:31.9765060Z ``` 2023-07-07T20:05:31.9765182Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9765483Z - diagnostic_context: 2023-07-07T20:05:31.9765713Z - node: fx.Node(native_batch_norm_36[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9765924Z - symbolic_fn: 2023-07-07T20:05:31.9766047Z - torch_args: 2023-07-07T20:05:31.9766167Z - torch_kwargs: 2023-07-07T20:05:31.9766297Z - Return value: 2023-07-07T20:05:31.9766587Z [2023-07-07 20:02:26,168] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_37]. 2023-07-07T20:05:31.9766718Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9766738Z 2023-07-07T20:05:31.9766925Z [2023-07-07 20:02:26,168] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9767129Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9767135Z 2023-07-07T20:05:31.9767317Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9767586Z - self: 2023-07-07T20:05:31.9767801Z - node: fx.Node(convolution_37[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9767919Z - aten_name: 2023-07-07T20:05:31.9768057Z - function_overloads: 2023-07-07T20:05:31.9768172Z - onnx_args: 2023-07-07T20:05:31.9768276Z - onnx_kwargs: 2023-07-07T20:05:31.9768584Z - diagnostic_context: 2023-07-07T20:05:31.9768797Z - Return value: 2023-07-07T20:05:31.9769083Z [2023-07-07 20:02:26,173] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_37]. 2023-07-07T20:05:31.9769229Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9769428Z [2023-07-07 20:02:26,173] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9769503Z ### Exception log 2023-07-07T20:05:31.9769552Z ``` 2023-07-07T20:05:31.9769647Z Traceback (most recent call last): 2023-07-07T20:05:31.9769653Z 2023-07-07T20:05:31.9769988Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9770112Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9770118Z 2023-07-07T20:05:31.9770380Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9770523Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9770529Z 2023-07-07T20:05:31.9770851Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9770946Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9770951Z 2023-07-07T20:05:31.9771211Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9771347Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9771387Z 2023-07-07T20:05:31.9771649Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9771818Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9771824Z 2023-07-07T20:05:31.9772152Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9772231Z result = op.Conv( 2023-07-07T20:05:31.9772237Z 2023-07-07T20:05:31.9772549Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9772619Z return op( 2023-07-07T20:05:31.9772625Z 2023-07-07T20:05:31.9772882Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9773008Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9773014Z 2023-07-07T20:05:31.9773277Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9773408Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9773414Z 2023-07-07T20:05:31.9773660Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9773784Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9773792Z 2023-07-07T20:05:31.9774058Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9774236Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9774241Z 2023-07-07T20:05:31.9774492Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9774586Z node.attribute.extend( 2023-07-07T20:05:31.9774592Z 2023-07-07T20:05:31.9774847Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9774937Z make_attribute(key, value) 2023-07-07T20:05:31.9774945Z 2023-07-07T20:05:31.9775205Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9775299Z raise ValueError( 2023-07-07T20:05:31.9775318Z 2023-07-07T20:05:31.9775480Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9775487Z 2023-07-07T20:05:31.9775547Z ``` 2023-07-07T20:05:31.9775668Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9775972Z - diagnostic_context: 2023-07-07T20:05:31.9776188Z - node: fx.Node(convolution_37[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9776398Z - symbolic_fn: 2023-07-07T20:05:31.9776516Z - torch_args: 2023-07-07T20:05:31.9776627Z - torch_kwargs: 2023-07-07T20:05:31.9776754Z - Return value: 2023-07-07T20:05:31.9777049Z [2023-07-07 20:02:26,180] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_37]. 2023-07-07T20:05:31.9777201Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9777207Z 2023-07-07T20:05:31.9777431Z [2023-07-07 20:02:26,180] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9777639Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9777645Z 2023-07-07T20:05:31.9777830Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9778096Z - self: 2023-07-07T20:05:31.9778320Z - node: fx.Node(native_batch_norm_37[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9778448Z - aten_name: 2023-07-07T20:05:31.9778616Z - function_overloads: 2023-07-07T20:05:31.9778735Z - onnx_args: 2023-07-07T20:05:31.9778852Z - onnx_kwargs: 2023-07-07T20:05:31.9779153Z - diagnostic_context: 2023-07-07T20:05:31.9779365Z - Return value: 2023-07-07T20:05:31.9779660Z [2023-07-07 20:02:26,185] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_37]. 2023-07-07T20:05:31.9779838Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9780011Z [2023-07-07 20:02:26,185] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9780084Z ### Exception log 2023-07-07T20:05:31.9780145Z ``` 2023-07-07T20:05:31.9780239Z Traceback (most recent call last): 2023-07-07T20:05:31.9780247Z 2023-07-07T20:05:31.9780575Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9780670Z torch.testing.assert_close( 2023-07-07T20:05:31.9780676Z 2023-07-07T20:05:31.9780961Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9781057Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9781063Z 2023-07-07T20:05:31.9781209Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9781215Z 2023-07-07T20:05:31.9781311Z Mismatched elements: 4900 / 9408 (52.1%) 2023-07-07T20:05:31.9781450Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9781590Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9781595Z 2023-07-07T20:05:31.9781656Z ``` 2023-07-07T20:05:31.9781777Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9782084Z - diagnostic_context: 2023-07-07T20:05:31.9782311Z - node: fx.Node(native_batch_norm_37[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9782509Z - symbolic_fn: 2023-07-07T20:05:31.9782627Z - torch_args: 2023-07-07T20:05:31.9782748Z - torch_kwargs: 2023-07-07T20:05:31.9782878Z - Return value: 2023-07-07T20:05:31.9783129Z [2023-07-07 20:02:26,197] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_10]. 2023-07-07T20:05:31.9783263Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9783269Z 2023-07-07T20:05:31.9783462Z [2023-07-07 20:02:26,198] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9783665Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9783673Z 2023-07-07T20:05:31.9783857Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9784113Z - self: 2023-07-07T20:05:31.9784290Z - node: fx.Node(cat_10[call_function]'aten.cat.default') 2023-07-07T20:05:31.9784470Z - aten_name: 2023-07-07T20:05:31.9784684Z - function_overloads: 2023-07-07T20:05:31.9784803Z - onnx_args: 2023-07-07T20:05:31.9784923Z - onnx_kwargs: 2023-07-07T20:05:31.9785227Z - diagnostic_context: 2023-07-07T20:05:31.9785358Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9785623Z [2023-07-07 20:02:26,205] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_10]. 2023-07-07T20:05:31.9785766Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9785806Z 2023-07-07T20:05:31.9786006Z [2023-07-07 20:02:26,205] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9786234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9786241Z 2023-07-07T20:05:31.9786426Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9786697Z - self: 2023-07-07T20:05:31.9786945Z - node: fx.Node(transpose_10[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9787057Z - aten_name: 2023-07-07T20:05:31.9787177Z - function_overloads: 2023-07-07T20:05:31.9787293Z - onnx_args: 2023-07-07T20:05:31.9787408Z - onnx_kwargs: 2023-07-07T20:05:31.9787793Z - diagnostic_context: 2023-07-07T20:05:31.9788012Z - Return value: 2023-07-07T20:05:31.9788272Z [2023-07-07 20:02:26,208] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_10]. 2023-07-07T20:05:31.9788407Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9788415Z 2023-07-07T20:05:31.9788598Z [2023-07-07 20:02:26,208] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9788803Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9788811Z 2023-07-07T20:05:31.9788995Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9789263Z - self: 2023-07-07T20:05:31.9789519Z - node: fx.Node(clone_10[call_function]'aten.clone.default') 2023-07-07T20:05:31.9789686Z - aten_name: 2023-07-07T20:05:31.9789904Z - function_overloads: 2023-07-07T20:05:31.9790097Z - onnx_args: 2023-07-07T20:05:31.9790264Z - onnx_kwargs: 2023-07-07T20:05:31.9790701Z - diagnostic_context: 2023-07-07T20:05:31.9790943Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9791370Z [2023-07-07 20:02:26,215] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_9]. 2023-07-07T20:05:31.9791593Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9791610Z 2023-07-07T20:05:31.9791925Z [2023-07-07 20:02:26,215] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9792223Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9792232Z 2023-07-07T20:05:31.9792526Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9793007Z - self: 2023-07-07T20:05:31.9793340Z - node: fx.Node(split_9[call_function]'aten.split.Tensor') 2023-07-07T20:05:31.9793552Z - aten_name: 2023-07-07T20:05:31.9793772Z - function_overloads: 2023-07-07T20:05:31.9793950Z - onnx_args: 2023-07-07T20:05:31.9794141Z - onnx_kwargs: 2023-07-07T20:05:31.9794879Z - diagnostic_context: 2023-07-07T20:05:31.9795146Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:31.9795594Z [2023-07-07 20:02:26,219] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_134]. 2023-07-07T20:05:31.9795819Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9795830Z 2023-07-07T20:05:31.9796176Z [2023-07-07 20:02:26,219] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9796577Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9796663Z 2023-07-07T20:05:31.9796961Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9797440Z - self: 2023-07-07T20:05:31.9797802Z - node: fx.Node(getitem_134[call_function]'') 2023-07-07T20:05:31.9798053Z - aten_name: 2023-07-07T20:05:31.9798275Z - function_overloads: 2023-07-07T20:05:31.9798460Z - onnx_args: 2023-07-07T20:05:31.9798662Z - onnx_kwargs: 2023-07-07T20:05:31.9799172Z - diagnostic_context: 2023-07-07T20:05:31.9799457Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9799966Z [2023-07-07 20:02:26,220] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_135]. 2023-07-07T20:05:31.9800214Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9800230Z 2023-07-07T20:05:31.9800590Z [2023-07-07 20:02:26,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9800967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9800981Z 2023-07-07T20:05:31.9801329Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9801798Z - self: 2023-07-07T20:05:31.9802179Z - node: fx.Node(getitem_135[call_function]'') 2023-07-07T20:05:31.9802390Z - aten_name: 2023-07-07T20:05:31.9802635Z - function_overloads: 2023-07-07T20:05:31.9802843Z - onnx_args: 2023-07-07T20:05:31.9803047Z - onnx_kwargs: 2023-07-07T20:05:31.9803622Z - diagnostic_context: 2023-07-07T20:05:31.9803892Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:31.9804529Z [2023-07-07 20:02:26,222] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_38]. 2023-07-07T20:05:31.9804772Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9804781Z 2023-07-07T20:05:31.9805106Z [2023-07-07 20:02:26,222] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9805487Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9805498Z 2023-07-07T20:05:31.9805831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9806312Z - self: 2023-07-07T20:05:31.9806645Z - node: fx.Node(convolution_38[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9806824Z - aten_name: 2023-07-07T20:05:31.9807053Z - function_overloads: 2023-07-07T20:05:31.9807219Z - onnx_args: 2023-07-07T20:05:31.9807404Z - onnx_kwargs: 2023-07-07T20:05:31.9807909Z - diagnostic_context: 2023-07-07T20:05:31.9808410Z - Return value: 2023-07-07T20:05:31.9808951Z [2023-07-07 20:02:26,228] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_38]. 2023-07-07T20:05:31.9809197Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9809568Z [2023-07-07 20:02:26,228] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9809699Z ### Exception log 2023-07-07T20:05:31.9809793Z ``` 2023-07-07T20:05:31.9809952Z Traceback (most recent call last): 2023-07-07T20:05:31.9810044Z 2023-07-07T20:05:31.9810711Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9810935Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9810944Z 2023-07-07T20:05:31.9811399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9811577Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9811645Z 2023-07-07T20:05:31.9812250Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9812412Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9812421Z 2023-07-07T20:05:31.9812898Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9813144Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9813157Z 2023-07-07T20:05:31.9813680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9813921Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9813931Z 2023-07-07T20:05:31.9814558Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9814702Z result = op.Conv( 2023-07-07T20:05:31.9814716Z 2023-07-07T20:05:31.9815258Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9815386Z return op( 2023-07-07T20:05:31.9815395Z 2023-07-07T20:05:31.9815858Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9816045Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9816058Z 2023-07-07T20:05:31.9816514Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9816753Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9816763Z 2023-07-07T20:05:31.9817236Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9817470Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9817480Z 2023-07-07T20:05:31.9817944Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9818212Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9818221Z 2023-07-07T20:05:31.9818633Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9818797Z node.attribute.extend( 2023-07-07T20:05:31.9818811Z 2023-07-07T20:05:31.9819281Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9819429Z make_attribute(key, value) 2023-07-07T20:05:31.9819438Z 2023-07-07T20:05:31.9819918Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9820053Z raise ValueError( 2023-07-07T20:05:31.9820064Z 2023-07-07T20:05:31.9820466Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9820481Z 2023-07-07T20:05:31.9820585Z ``` 2023-07-07T20:05:31.9820811Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9821363Z - diagnostic_context: 2023-07-07T20:05:31.9821719Z - node: fx.Node(convolution_38[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9822045Z - symbolic_fn: 2023-07-07T20:05:31.9822387Z - torch_args: 2023-07-07T20:05:31.9822572Z - torch_kwargs: 2023-07-07T20:05:31.9822825Z - Return value: 2023-07-07T20:05:31.9823320Z [2023-07-07 20:02:26,235] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_38]. 2023-07-07T20:05:31.9823553Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9823571Z 2023-07-07T20:05:31.9823934Z [2023-07-07 20:02:26,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9824334Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9824344Z 2023-07-07T20:05:31.9824624Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9825017Z - self: 2023-07-07T20:05:31.9825365Z - node: fx.Node(native_batch_norm_38[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9825542Z - aten_name: 2023-07-07T20:05:31.9825766Z - function_overloads: 2023-07-07T20:05:31.9825954Z - onnx_args: 2023-07-07T20:05:31.9826153Z - onnx_kwargs: 2023-07-07T20:05:31.9826664Z - diagnostic_context: 2023-07-07T20:05:31.9827053Z - Return value: 2023-07-07T20:05:31.9827556Z [2023-07-07 20:02:26,240] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_38]. 2023-07-07T20:05:31.9827797Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9828104Z [2023-07-07 20:02:26,240] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9828229Z ### Exception log 2023-07-07T20:05:31.9828331Z ``` 2023-07-07T20:05:31.9828491Z Traceback (most recent call last): 2023-07-07T20:05:31.9828512Z 2023-07-07T20:05:31.9829103Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9829269Z torch.testing.assert_close( 2023-07-07T20:05:31.9829293Z 2023-07-07T20:05:31.9829779Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9829954Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9829968Z 2023-07-07T20:05:31.9830260Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9830270Z 2023-07-07T20:05:31.9830423Z Mismatched elements: 4508 / 9408 (47.9%) 2023-07-07T20:05:31.9830647Z Greatest absolute difference: nan at index (0, 3, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9830862Z Greatest relative difference: nan at index (0, 3, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9830872Z 2023-07-07T20:05:31.9830968Z ``` 2023-07-07T20:05:31.9831153Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9831687Z - diagnostic_context: 2023-07-07T20:05:31.9832096Z - node: fx.Node(native_batch_norm_38[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9832452Z - symbolic_fn: 2023-07-07T20:05:31.9832761Z - torch_args: 2023-07-07T20:05:31.9832961Z - torch_kwargs: 2023-07-07T20:05:31.9833165Z - Return value: 2023-07-07T20:05:31.9833648Z [2023-07-07 20:02:26,252] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_39]. 2023-07-07T20:05:31.9833913Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9833925Z 2023-07-07T20:05:31.9834268Z [2023-07-07 20:02:26,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9834585Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9834792Z 2023-07-07T20:05:31.9835156Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9835585Z - self: 2023-07-07T20:05:31.9835924Z - node: fx.Node(convolution_39[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9836123Z - aten_name: 2023-07-07T20:05:31.9836432Z - function_overloads: 2023-07-07T20:05:31.9836642Z - onnx_args: 2023-07-07T20:05:31.9836811Z - onnx_kwargs: 2023-07-07T20:05:31.9837295Z - diagnostic_context: 2023-07-07T20:05:31.9837663Z - Return value: 2023-07-07T20:05:31.9838089Z [2023-07-07 20:02:26,258] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_39]. 2023-07-07T20:05:31.9838331Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9838672Z [2023-07-07 20:02:26,258] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9838807Z ### Exception log 2023-07-07T20:05:31.9838910Z ``` 2023-07-07T20:05:31.9839045Z Traceback (most recent call last): 2023-07-07T20:05:31.9839058Z 2023-07-07T20:05:31.9839629Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9839835Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9839844Z 2023-07-07T20:05:31.9840284Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9840427Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9840436Z 2023-07-07T20:05:31.9841033Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9841189Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9841202Z 2023-07-07T20:05:31.9841623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9841851Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9841861Z 2023-07-07T20:05:31.9842306Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9842542Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9842551Z 2023-07-07T20:05:31.9843153Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9843271Z result = op.Conv( 2023-07-07T20:05:31.9843281Z 2023-07-07T20:05:31.9843755Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9843903Z return op( 2023-07-07T20:05:31.9843913Z 2023-07-07T20:05:31.9844352Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9844724Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9844735Z 2023-07-07T20:05:31.9845325Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9845556Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9845565Z 2023-07-07T20:05:31.9845970Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9846185Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9846194Z 2023-07-07T20:05:31.9846640Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9847055Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9847124Z 2023-07-07T20:05:31.9847576Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9847715Z node.attribute.extend( 2023-07-07T20:05:31.9847724Z 2023-07-07T20:05:31.9848120Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9848356Z make_attribute(key, value) 2023-07-07T20:05:31.9848366Z 2023-07-07T20:05:31.9848857Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9848993Z raise ValueError( 2023-07-07T20:05:31.9849003Z 2023-07-07T20:05:31.9849315Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9849324Z 2023-07-07T20:05:31.9849435Z ``` 2023-07-07T20:05:31.9849654Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9850222Z - diagnostic_context: 2023-07-07T20:05:31.9850566Z - node: fx.Node(convolution_39[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9850923Z - symbolic_fn: 2023-07-07T20:05:31.9851114Z - torch_args: 2023-07-07T20:05:31.9851322Z - torch_kwargs: 2023-07-07T20:05:31.9851538Z - Return value: 2023-07-07T20:05:31.9852067Z [2023-07-07 20:02:26,265] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_39]. 2023-07-07T20:05:31.9852292Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9852301Z 2023-07-07T20:05:31.9852654Z [2023-07-07 20:02:26,265] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9853025Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9853040Z 2023-07-07T20:05:31.9853363Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9853872Z - self: 2023-07-07T20:05:31.9854307Z - node: fx.Node(native_batch_norm_39[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9854505Z - aten_name: 2023-07-07T20:05:31.9854758Z - function_overloads: 2023-07-07T20:05:31.9854958Z - onnx_args: 2023-07-07T20:05:31.9855139Z - onnx_kwargs: 2023-07-07T20:05:31.9855609Z - diagnostic_context: 2023-07-07T20:05:31.9855908Z - Return value: 2023-07-07T20:05:31.9856357Z [2023-07-07 20:02:26,269] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_39]. 2023-07-07T20:05:31.9856595Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9856892Z [2023-07-07 20:02:26,269] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9857002Z ### Exception log 2023-07-07T20:05:31.9857092Z ``` 2023-07-07T20:05:31.9857232Z Traceback (most recent call last): 2023-07-07T20:05:31.9857242Z 2023-07-07T20:05:31.9857895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9858062Z torch.testing.assert_close( 2023-07-07T20:05:31.9858073Z 2023-07-07T20:05:31.9858536Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9858688Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9858696Z 2023-07-07T20:05:31.9858927Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9859017Z 2023-07-07T20:05:31.9859150Z Mismatched elements: 3920 / 9408 (41.7%) 2023-07-07T20:05:31.9859413Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9859619Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9859629Z 2023-07-07T20:05:31.9859721Z ``` 2023-07-07T20:05:31.9859900Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9860390Z - diagnostic_context: 2023-07-07T20:05:31.9860788Z - node: fx.Node(native_batch_norm_39[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9861092Z - symbolic_fn: 2023-07-07T20:05:31.9861282Z - torch_args: 2023-07-07T20:05:31.9861466Z - torch_kwargs: 2023-07-07T20:05:31.9861662Z - Return value: 2023-07-07T20:05:31.9862119Z [2023-07-07 20:02:26,272] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_40]. 2023-07-07T20:05:31.9862361Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9862370Z 2023-07-07T20:05:31.9862678Z [2023-07-07 20:02:26,272] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9863022Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9863036Z 2023-07-07T20:05:31.9863349Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9863770Z - self: 2023-07-07T20:05:31.9864110Z - node: fx.Node(convolution_40[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9864293Z - aten_name: 2023-07-07T20:05:31.9864513Z - function_overloads: 2023-07-07T20:05:31.9864699Z - onnx_args: 2023-07-07T20:05:31.9864914Z - onnx_kwargs: 2023-07-07T20:05:31.9865388Z - diagnostic_context: 2023-07-07T20:05:31.9865691Z - Return value: 2023-07-07T20:05:31.9866111Z [2023-07-07 20:02:26,278] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_40]. 2023-07-07T20:05:31.9866333Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9866625Z [2023-07-07 20:02:26,278] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9866746Z ### Exception log 2023-07-07T20:05:31.9866837Z ``` 2023-07-07T20:05:31.9866979Z Traceback (most recent call last): 2023-07-07T20:05:31.9866989Z 2023-07-07T20:05:31.9867560Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9867764Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9867795Z 2023-07-07T20:05:31.9868237Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9868372Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9868380Z 2023-07-07T20:05:31.9868885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9869138Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9869154Z 2023-07-07T20:05:31.9869588Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9869787Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9869796Z 2023-07-07T20:05:31.9870221Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9870414Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9870506Z 2023-07-07T20:05:31.9871096Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9871204Z result = op.Conv( 2023-07-07T20:05:31.9871231Z 2023-07-07T20:05:31.9871656Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9871761Z return op( 2023-07-07T20:05:31.9871769Z 2023-07-07T20:05:31.9872223Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9872416Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9872425Z 2023-07-07T20:05:31.9872813Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9873005Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9873015Z 2023-07-07T20:05:31.9873316Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9873446Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9873452Z 2023-07-07T20:05:31.9873841Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9874105Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9874135Z 2023-07-07T20:05:31.9874504Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9874720Z node.attribute.extend( 2023-07-07T20:05:31.9874728Z 2023-07-07T20:05:31.9875103Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9875226Z make_attribute(key, value) 2023-07-07T20:05:31.9875234Z 2023-07-07T20:05:31.9875621Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9875740Z raise ValueError( 2023-07-07T20:05:31.9875752Z 2023-07-07T20:05:31.9876033Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9876041Z 2023-07-07T20:05:31.9876126Z ``` 2023-07-07T20:05:31.9876299Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9876752Z - diagnostic_context: 2023-07-07T20:05:31.9877072Z - node: fx.Node(convolution_40[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9877377Z - symbolic_fn: 2023-07-07T20:05:31.9877569Z - torch_args: 2023-07-07T20:05:31.9877746Z - torch_kwargs: 2023-07-07T20:05:31.9877946Z - Return value: 2023-07-07T20:05:31.9878436Z [2023-07-07 20:02:26,284] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_40]. 2023-07-07T20:05:31.9878669Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9878678Z 2023-07-07T20:05:31.9878999Z [2023-07-07 20:02:26,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9879304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9879421Z 2023-07-07T20:05:31.9879715Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9880185Z - self: 2023-07-07T20:05:31.9880587Z - node: fx.Node(native_batch_norm_40[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9880793Z - aten_name: 2023-07-07T20:05:31.9881010Z - function_overloads: 2023-07-07T20:05:31.9881194Z - onnx_args: 2023-07-07T20:05:31.9881435Z - onnx_kwargs: 2023-07-07T20:05:31.9882024Z - diagnostic_context: 2023-07-07T20:05:31.9882360Z - Return value: 2023-07-07T20:05:31.9882815Z [2023-07-07 20:02:26,289] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_40]. 2023-07-07T20:05:31.9883063Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9883445Z [2023-07-07 20:02:26,289] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9883565Z ### Exception log 2023-07-07T20:05:31.9883636Z ``` 2023-07-07T20:05:31.9883778Z Traceback (most recent call last): 2023-07-07T20:05:31.9883789Z 2023-07-07T20:05:31.9884349Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9884649Z torch.testing.assert_close( 2023-07-07T20:05:31.9884666Z 2023-07-07T20:05:31.9885098Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9885243Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9885250Z 2023-07-07T20:05:31.9885479Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9885487Z 2023-07-07T20:05:31.9885632Z Mismatched elements: 4900 / 9408 (52.1%) 2023-07-07T20:05:31.9885849Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9886049Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9886057Z 2023-07-07T20:05:31.9886145Z ``` 2023-07-07T20:05:31.9886338Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9886852Z - diagnostic_context: 2023-07-07T20:05:31.9887241Z - node: fx.Node(native_batch_norm_40[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9887587Z - symbolic_fn: 2023-07-07T20:05:31.9887777Z - torch_args: 2023-07-07T20:05:31.9887974Z - torch_kwargs: 2023-07-07T20:05:31.9888165Z - Return value: 2023-07-07T20:05:31.9888569Z [2023-07-07 20:02:26,301] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_11]. 2023-07-07T20:05:31.9888764Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9888775Z 2023-07-07T20:05:31.9889074Z [2023-07-07 20:02:26,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9889385Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9889395Z 2023-07-07T20:05:31.9889653Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9890070Z - self: 2023-07-07T20:05:31.9890348Z - node: fx.Node(cat_11[call_function]'aten.cat.default') 2023-07-07T20:05:31.9890500Z - aten_name: 2023-07-07T20:05:31.9890697Z - function_overloads: 2023-07-07T20:05:31.9890874Z - onnx_args: 2023-07-07T20:05:31.9891058Z - onnx_kwargs: 2023-07-07T20:05:31.9891624Z - diagnostic_context: 2023-07-07T20:05:31.9891859Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:31.9892324Z [2023-07-07 20:02:26,309] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_11]. 2023-07-07T20:05:31.9892519Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9892528Z 2023-07-07T20:05:31.9892815Z [2023-07-07 20:02:26,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9893152Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9893242Z 2023-07-07T20:05:31.9893627Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9894096Z - self: 2023-07-07T20:05:31.9894413Z - node: fx.Node(transpose_11[call_function]'aten.transpose.int') 2023-07-07T20:05:31.9894598Z - aten_name: 2023-07-07T20:05:31.9894810Z - function_overloads: 2023-07-07T20:05:31.9895072Z - onnx_args: 2023-07-07T20:05:31.9895237Z - onnx_kwargs: 2023-07-07T20:05:31.9895697Z - diagnostic_context: 2023-07-07T20:05:31.9896016Z - Return value: 2023-07-07T20:05:31.9896422Z [2023-07-07 20:02:26,312] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_11]. 2023-07-07T20:05:31.9896649Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9896660Z 2023-07-07T20:05:31.9896985Z [2023-07-07 20:02:26,312] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9897631Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9897644Z 2023-07-07T20:05:31.9897963Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9898447Z - self: 2023-07-07T20:05:31.9898739Z - node: fx.Node(clone_11[call_function]'aten.clone.default') 2023-07-07T20:05:31.9898929Z - aten_name: 2023-07-07T20:05:31.9899129Z - function_overloads: 2023-07-07T20:05:31.9899319Z - onnx_args: 2023-07-07T20:05:31.9899492Z - onnx_kwargs: 2023-07-07T20:05:31.9899946Z - diagnostic_context: 2023-07-07T20:05:31.9900190Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:31.9900665Z [2023-07-07 20:02:26,320] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_41]. 2023-07-07T20:05:31.9900936Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9900946Z 2023-07-07T20:05:31.9901314Z [2023-07-07 20:02:26,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9901680Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9901694Z 2023-07-07T20:05:31.9902037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9902533Z - self: 2023-07-07T20:05:31.9902855Z - node: fx.Node(convolution_41[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9903052Z - aten_name: 2023-07-07T20:05:31.9903289Z - function_overloads: 2023-07-07T20:05:31.9903481Z - onnx_args: 2023-07-07T20:05:31.9903683Z - onnx_kwargs: 2023-07-07T20:05:31.9904169Z - diagnostic_context: 2023-07-07T20:05:31.9904533Z - Return value: 2023-07-07T20:05:31.9905112Z [2023-07-07 20:02:26,326] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_41]. 2023-07-07T20:05:31.9905372Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9905719Z [2023-07-07 20:02:26,326] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9905838Z ### Exception log 2023-07-07T20:05:31.9905949Z ``` 2023-07-07T20:05:31.9906122Z Traceback (most recent call last): 2023-07-07T20:05:31.9906132Z 2023-07-07T20:05:31.9906738Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9907009Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9907021Z 2023-07-07T20:05:31.9907410Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9907582Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9907596Z 2023-07-07T20:05:31.9908192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9908411Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9908425Z 2023-07-07T20:05:31.9908912Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9909153Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9909162Z 2023-07-07T20:05:31.9909682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9909937Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9909947Z 2023-07-07T20:05:31.9910562Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9910688Z result = op.Conv( 2023-07-07T20:05:31.9910702Z 2023-07-07T20:05:31.9911149Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9911258Z return op( 2023-07-07T20:05:31.9911265Z 2023-07-07T20:05:31.9911653Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9911851Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9911860Z 2023-07-07T20:05:31.9912419Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9912675Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9912688Z 2023-07-07T20:05:31.9913174Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9913394Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9913404Z 2023-07-07T20:05:31.9913875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9914198Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9914209Z 2023-07-07T20:05:31.9914819Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9915001Z node.attribute.extend( 2023-07-07T20:05:31.9915013Z 2023-07-07T20:05:31.9915531Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9915721Z make_attribute(key, value) 2023-07-07T20:05:31.9915732Z 2023-07-07T20:05:31.9916273Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9916413Z raise ValueError( 2023-07-07T20:05:31.9916423Z 2023-07-07T20:05:31.9916854Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9916868Z 2023-07-07T20:05:31.9916988Z ``` 2023-07-07T20:05:31.9917216Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9917767Z - diagnostic_context: 2023-07-07T20:05:31.9918181Z - node: fx.Node(convolution_41[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9918585Z - symbolic_fn: 2023-07-07T20:05:31.9918863Z - torch_args: 2023-07-07T20:05:31.9919131Z - torch_kwargs: 2023-07-07T20:05:31.9919360Z - Return value: 2023-07-07T20:05:31.9919891Z [2023-07-07 20:02:26,333] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_41]. 2023-07-07T20:05:31.9920130Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9920141Z 2023-07-07T20:05:31.9920456Z [2023-07-07 20:02:26,333] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9920776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9920850Z 2023-07-07T20:05:31.9921167Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9921636Z - self: 2023-07-07T20:05:31.9922017Z - node: fx.Node(native_batch_norm_41[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9922226Z - aten_name: 2023-07-07T20:05:31.9922465Z - function_overloads: 2023-07-07T20:05:31.9922681Z - onnx_args: 2023-07-07T20:05:31.9922898Z - onnx_kwargs: 2023-07-07T20:05:31.9923434Z - diagnostic_context: 2023-07-07T20:05:31.9923802Z - Return value: 2023-07-07T20:05:31.9924345Z [2023-07-07 20:02:26,338] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_41]. 2023-07-07T20:05:31.9924769Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9925101Z [2023-07-07 20:02:26,338] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9925235Z ### Exception log 2023-07-07T20:05:31.9925346Z ``` 2023-07-07T20:05:31.9925519Z Traceback (most recent call last): 2023-07-07T20:05:31.9925530Z 2023-07-07T20:05:31.9926141Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9926315Z torch.testing.assert_close( 2023-07-07T20:05:31.9926324Z 2023-07-07T20:05:31.9926830Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9926990Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9927004Z 2023-07-07T20:05:31.9927298Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9927311Z 2023-07-07T20:05:31.9927480Z Mismatched elements: 2499 / 4704 (53.1%) 2023-07-07T20:05:31.9927720Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9927965Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9927974Z 2023-07-07T20:05:31.9928057Z ``` 2023-07-07T20:05:31.9928228Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9928811Z - diagnostic_context: 2023-07-07T20:05:31.9929215Z - node: fx.Node(native_batch_norm_41[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9929589Z - symbolic_fn: 2023-07-07T20:05:31.9929799Z - torch_args: 2023-07-07T20:05:31.9930010Z - torch_kwargs: 2023-07-07T20:05:31.9930379Z - Return value: 2023-07-07T20:05:31.9930890Z [2023-07-07 20:02:26,341] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_42]. 2023-07-07T20:05:31.9931153Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9931165Z 2023-07-07T20:05:31.9931528Z [2023-07-07 20:02:26,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9931885Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9931982Z 2023-07-07T20:05:31.9932293Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9932843Z - self: 2023-07-07T20:05:31.9933237Z - node: fx.Node(convolution_42[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9933437Z - aten_name: 2023-07-07T20:05:31.9933679Z - function_overloads: 2023-07-07T20:05:31.9933891Z - onnx_args: 2023-07-07T20:05:31.9934156Z - onnx_kwargs: 2023-07-07T20:05:31.9934696Z - diagnostic_context: 2023-07-07T20:05:31.9935058Z - Return value: 2023-07-07T20:05:31.9935559Z [2023-07-07 20:02:26,358] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_42]. 2023-07-07T20:05:31.9935823Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9936187Z [2023-07-07 20:02:26,359] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9936316Z ### Exception log 2023-07-07T20:05:31.9936421Z ``` 2023-07-07T20:05:31.9936576Z Traceback (most recent call last): 2023-07-07T20:05:31.9936601Z 2023-07-07T20:05:31.9937202Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9937421Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9937434Z 2023-07-07T20:05:31.9937905Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9938075Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9938086Z 2023-07-07T20:05:31.9938680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9938854Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9938862Z 2023-07-07T20:05:31.9939336Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9939587Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9939597Z 2023-07-07T20:05:31.9940104Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9940320Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9940346Z 2023-07-07T20:05:31.9940954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9941119Z result = op.Conv( 2023-07-07T20:05:31.9941128Z 2023-07-07T20:05:31.9941644Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9941773Z return op( 2023-07-07T20:05:31.9941783Z 2023-07-07T20:05:31.9942192Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9942376Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9942384Z 2023-07-07T20:05:31.9942873Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9943184Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9943198Z 2023-07-07T20:05:31.9943668Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9943871Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9943896Z 2023-07-07T20:05:31.9944382Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9944693Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9944744Z 2023-07-07T20:05:31.9945247Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9945411Z node.attribute.extend( 2023-07-07T20:05:31.9945421Z 2023-07-07T20:05:31.9945891Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9946042Z make_attribute(key, value) 2023-07-07T20:05:31.9946050Z 2023-07-07T20:05:31.9946567Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9946710Z raise ValueError( 2023-07-07T20:05:31.9946720Z 2023-07-07T20:05:31.9947042Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9947051Z 2023-07-07T20:05:31.9947143Z ``` 2023-07-07T20:05:31.9947352Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9947888Z - diagnostic_context: 2023-07-07T20:05:31.9948301Z - node: fx.Node(convolution_42[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9948682Z - symbolic_fn: 2023-07-07T20:05:31.9948889Z - torch_args: 2023-07-07T20:05:31.9949099Z - torch_kwargs: 2023-07-07T20:05:31.9949311Z - Return value: 2023-07-07T20:05:31.9949863Z [2023-07-07 20:02:26,365] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_42]. 2023-07-07T20:05:31.9950131Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9950141Z 2023-07-07T20:05:31.9950485Z [2023-07-07 20:02:26,365] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9950856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9950870Z 2023-07-07T20:05:31.9951208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9951680Z - self: 2023-07-07T20:05:31.9952105Z - node: fx.Node(native_batch_norm_42[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9952312Z - aten_name: 2023-07-07T20:05:31.9952545Z - function_overloads: 2023-07-07T20:05:31.9952746Z - onnx_args: 2023-07-07T20:05:31.9952953Z - onnx_kwargs: 2023-07-07T20:05:31.9953526Z - diagnostic_context: 2023-07-07T20:05:31.9953916Z - Return value: 2023-07-07T20:05:31.9954438Z [2023-07-07 20:02:26,375] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_42]. 2023-07-07T20:05:31.9954777Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9955133Z [2023-07-07 20:02:26,375] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9955246Z ### Exception log 2023-07-07T20:05:31.9955359Z ``` 2023-07-07T20:05:31.9955523Z Traceback (most recent call last): 2023-07-07T20:05:31.9955532Z 2023-07-07T20:05:31.9956209Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9956388Z torch.testing.assert_close( 2023-07-07T20:05:31.9956401Z 2023-07-07T20:05:31.9956913Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9957072Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9957082Z 2023-07-07T20:05:31.9957374Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9957384Z 2023-07-07T20:05:31.9957555Z Mismatched elements: 2891 / 4704 (61.5%) 2023-07-07T20:05:31.9957842Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9958123Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9958133Z 2023-07-07T20:05:31.9958240Z ``` 2023-07-07T20:05:31.9958457Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9958917Z - diagnostic_context: 2023-07-07T20:05:31.9959300Z - node: fx.Node(native_batch_norm_42[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9959734Z - symbolic_fn: 2023-07-07T20:05:31.9959928Z - torch_args: 2023-07-07T20:05:31.9960126Z - torch_kwargs: 2023-07-07T20:05:31.9960305Z - Return value: 2023-07-07T20:05:31.9960780Z [2023-07-07 20:02:26,386] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_43]. 2023-07-07T20:05:31.9961035Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9961046Z 2023-07-07T20:05:31.9961406Z [2023-07-07 20:02:26,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9961772Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9961782Z 2023-07-07T20:05:31.9962109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9962519Z - self: 2023-07-07T20:05:31.9962855Z - node: fx.Node(convolution_43[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9963051Z - aten_name: 2023-07-07T20:05:31.9963287Z - function_overloads: 2023-07-07T20:05:31.9963494Z - onnx_args: 2023-07-07T20:05:31.9963694Z - onnx_kwargs: 2023-07-07T20:05:31.9964253Z - diagnostic_context: 2023-07-07T20:05:31.9964809Z - Return value: 2023-07-07T20:05:31.9965294Z [2023-07-07 20:02:26,392] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_43]. 2023-07-07T20:05:31.9965533Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9965875Z [2023-07-07 20:02:26,392] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9965997Z ### Exception log 2023-07-07T20:05:31.9966105Z ``` 2023-07-07T20:05:31.9966279Z Traceback (most recent call last): 2023-07-07T20:05:31.9966290Z 2023-07-07T20:05:31.9966848Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9967036Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9967047Z 2023-07-07T20:05:31.9967540Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9967694Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9967709Z 2023-07-07T20:05:31.9968316Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9968496Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9968506Z 2023-07-07T20:05:31.9969119Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9969380Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9969390Z 2023-07-07T20:05:31.9969915Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9970160Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9970171Z 2023-07-07T20:05:31.9970783Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:31.9971050Z result = op.Conv( 2023-07-07T20:05:31.9971061Z 2023-07-07T20:05:31.9971599Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:31.9971715Z return op( 2023-07-07T20:05:31.9971725Z 2023-07-07T20:05:31.9972209Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:31.9972500Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:31.9972510Z 2023-07-07T20:05:31.9973003Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:31.9973234Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9973243Z 2023-07-07T20:05:31.9973737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:31.9973964Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:31.9973973Z 2023-07-07T20:05:31.9974485Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:31.9974804Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:31.9974815Z 2023-07-07T20:05:31.9975287Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:31.9975443Z node.attribute.extend( 2023-07-07T20:05:31.9975453Z 2023-07-07T20:05:31.9975932Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:31.9976094Z make_attribute(key, value) 2023-07-07T20:05:31.9976104Z 2023-07-07T20:05:31.9976594Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:31.9976741Z raise ValueError( 2023-07-07T20:05:31.9976751Z 2023-07-07T20:05:31.9977080Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:31.9977090Z 2023-07-07T20:05:31.9977193Z ``` 2023-07-07T20:05:31.9977418Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9977978Z - diagnostic_context: 2023-07-07T20:05:31.9978393Z - node: fx.Node(convolution_43[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9978794Z - symbolic_fn: 2023-07-07T20:05:31.9979013Z - torch_args: 2023-07-07T20:05:31.9979234Z - torch_kwargs: 2023-07-07T20:05:31.9979475Z - Return value: 2023-07-07T20:05:31.9980039Z [2023-07-07 20:02:26,399] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_43]. 2023-07-07T20:05:31.9980325Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9980335Z 2023-07-07T20:05:31.9980691Z [2023-07-07 20:02:26,399] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9981069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9981079Z 2023-07-07T20:05:31.9981477Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9981991Z - self: 2023-07-07T20:05:31.9982417Z - node: fx.Node(native_batch_norm_43[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9982634Z - aten_name: 2023-07-07T20:05:31.9982881Z - function_overloads: 2023-07-07T20:05:31.9983095Z - onnx_args: 2023-07-07T20:05:31.9983301Z - onnx_kwargs: 2023-07-07T20:05:31.9983883Z - diagnostic_context: 2023-07-07T20:05:31.9984354Z - Return value: 2023-07-07T20:05:31.9984884Z [2023-07-07 20:02:26,405] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_43]. 2023-07-07T20:05:31.9985136Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9985431Z [2023-07-07 20:02:26,405] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:31.9985600Z ### Exception log 2023-07-07T20:05:31.9985706Z ``` 2023-07-07T20:05:31.9985856Z Traceback (most recent call last): 2023-07-07T20:05:31.9985868Z 2023-07-07T20:05:31.9986462Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:31.9986637Z torch.testing.assert_close( 2023-07-07T20:05:31.9986647Z 2023-07-07T20:05:31.9987150Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:31.9987318Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:31.9987332Z 2023-07-07T20:05:31.9987618Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:31.9987628Z 2023-07-07T20:05:31.9987802Z Mismatched elements: 8428 / 18816 (44.8%) 2023-07-07T20:05:31.9988054Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:31.9988296Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:31.9988309Z 2023-07-07T20:05:31.9988400Z ``` 2023-07-07T20:05:31.9988620Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:31.9989206Z - diagnostic_context: 2023-07-07T20:05:31.9989631Z - node: fx.Node(native_batch_norm_43[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:31.9989971Z - symbolic_fn: 2023-07-07T20:05:31.9990191Z - torch_args: 2023-07-07T20:05:31.9990409Z - torch_kwargs: 2023-07-07T20:05:31.9990618Z - Return value: 2023-07-07T20:05:31.9991049Z [2023-07-07 20:02:26,434] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_44]. 2023-07-07T20:05:31.9991292Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9991306Z 2023-07-07T20:05:31.9991668Z [2023-07-07 20:02:26,434] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:31.9992042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:31.9992052Z 2023-07-07T20:05:31.9992388Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:31.9992885Z - self: 2023-07-07T20:05:31.9993291Z - node: fx.Node(convolution_44[call_function]'aten.convolution.default') 2023-07-07T20:05:31.9993501Z - aten_name: 2023-07-07T20:05:31.9993735Z - function_overloads: 2023-07-07T20:05:31.9993945Z - onnx_args: 2023-07-07T20:05:31.9994159Z - onnx_kwargs: 2023-07-07T20:05:31.9994739Z - diagnostic_context: 2023-07-07T20:05:31.9995186Z - Return value: 2023-07-07T20:05:31.9995658Z [2023-07-07 20:02:26,439] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_44]. 2023-07-07T20:05:31.9995892Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:31.9996197Z [2023-07-07 20:02:26,440] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:31.9996295Z ### Exception log 2023-07-07T20:05:31.9996381Z ``` 2023-07-07T20:05:31.9996533Z Traceback (most recent call last): 2023-07-07T20:05:31.9996605Z 2023-07-07T20:05:31.9997177Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:31.9997385Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:31.9997394Z 2023-07-07T20:05:31.9997882Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:31.9998024Z return self.func(*args, **kwargs) 2023-07-07T20:05:31.9998079Z 2023-07-07T20:05:31.9998556Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:31.9998691Z result = _aten_convolution_onnx( 2023-07-07T20:05:31.9998699Z 2023-07-07T20:05:31.9999082Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:31.9999294Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:31.9999308Z 2023-07-07T20:05:31.9999764Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:31.9999979Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:31.9999989Z 2023-07-07T20:05:32.0000522Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0000665Z result = op.Conv( 2023-07-07T20:05:32.0000679Z 2023-07-07T20:05:32.0001179Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0001284Z return op( 2023-07-07T20:05:32.0001294Z 2023-07-07T20:05:32.0001711Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0001920Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0001934Z 2023-07-07T20:05:32.0002312Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0002536Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0002547Z 2023-07-07T20:05:32.0003035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0003231Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0003240Z 2023-07-07T20:05:32.0003680Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0003953Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0003962Z 2023-07-07T20:05:32.0004528Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0004681Z node.attribute.extend( 2023-07-07T20:05:32.0004696Z 2023-07-07T20:05:32.0005120Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0005235Z make_attribute(key, value) 2023-07-07T20:05:32.0005258Z 2023-07-07T20:05:32.0005656Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0005763Z raise ValueError( 2023-07-07T20:05:32.0005772Z 2023-07-07T20:05:32.0006176Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0006191Z 2023-07-07T20:05:32.0006298Z ``` 2023-07-07T20:05:32.0006520Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0007048Z - diagnostic_context: 2023-07-07T20:05:32.0007382Z - node: fx.Node(convolution_44[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0007715Z - symbolic_fn: 2023-07-07T20:05:32.0008011Z - torch_args: 2023-07-07T20:05:32.0008223Z - torch_kwargs: 2023-07-07T20:05:32.0008521Z - Return value: 2023-07-07T20:05:32.0009024Z [2023-07-07 20:02:26,446] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_44]. 2023-07-07T20:05:32.0009270Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0009287Z 2023-07-07T20:05:32.0009609Z [2023-07-07 20:02:26,446] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0010021Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0010032Z 2023-07-07T20:05:32.0010330Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0010773Z - self: 2023-07-07T20:05:32.0011135Z - node: fx.Node(native_batch_norm_44[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0011344Z - aten_name: 2023-07-07T20:05:32.0011593Z - function_overloads: 2023-07-07T20:05:32.0011782Z - onnx_args: 2023-07-07T20:05:32.0011964Z - onnx_kwargs: 2023-07-07T20:05:32.0012469Z - diagnostic_context: 2023-07-07T20:05:32.0012844Z - Return value: 2023-07-07T20:05:32.0013341Z [2023-07-07 20:02:26,450] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_44]. 2023-07-07T20:05:32.0013620Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0013961Z [2023-07-07 20:02:26,450] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0014083Z ### Exception log 2023-07-07T20:05:32.0014180Z ``` 2023-07-07T20:05:32.0014334Z Traceback (most recent call last): 2023-07-07T20:05:32.0014351Z 2023-07-07T20:05:32.0014894Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0015057Z torch.testing.assert_close( 2023-07-07T20:05:32.0015068Z 2023-07-07T20:05:32.0015541Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0015701Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0015715Z 2023-07-07T20:05:32.0015981Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0015990Z 2023-07-07T20:05:32.0016159Z Mismatched elements: 2401 / 4704 (51.0%) 2023-07-07T20:05:32.0016413Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0016652Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0016661Z 2023-07-07T20:05:32.0016758Z ``` 2023-07-07T20:05:32.0016953Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0017451Z - diagnostic_context: 2023-07-07T20:05:32.0017837Z - node: fx.Node(native_batch_norm_44[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0018186Z - symbolic_fn: 2023-07-07T20:05:32.0018364Z - torch_args: 2023-07-07T20:05:32.0018691Z - torch_kwargs: 2023-07-07T20:05:32.0018935Z - Return value: 2023-07-07T20:05:32.0019441Z [2023-07-07 20:02:26,453] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_45]. 2023-07-07T20:05:32.0019696Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0019707Z 2023-07-07T20:05:32.0020070Z [2023-07-07 20:02:26,453] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0020416Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0020496Z 2023-07-07T20:05:32.0020868Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0021348Z - self: 2023-07-07T20:05:32.0021758Z - node: fx.Node(convolution_45[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0021950Z - aten_name: 2023-07-07T20:05:32.0022162Z - function_overloads: 2023-07-07T20:05:32.0022407Z - onnx_args: 2023-07-07T20:05:32.0022598Z - onnx_kwargs: 2023-07-07T20:05:32.0023076Z - diagnostic_context: 2023-07-07T20:05:32.0023439Z - Return value: 2023-07-07T20:05:32.0023903Z [2023-07-07 20:02:26,459] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_45]. 2023-07-07T20:05:32.0024128Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0024444Z [2023-07-07 20:02:26,459] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0024561Z ### Exception log 2023-07-07T20:05:32.0024666Z ``` 2023-07-07T20:05:32.0024822Z Traceback (most recent call last): 2023-07-07T20:05:32.0024834Z 2023-07-07T20:05:32.0025420Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0025621Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0025630Z 2023-07-07T20:05:32.0026057Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0026208Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0026218Z 2023-07-07T20:05:32.0026802Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0026984Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0026995Z 2023-07-07T20:05:32.0027429Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0027647Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0027658Z 2023-07-07T20:05:32.0028106Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0028313Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0028323Z 2023-07-07T20:05:32.0028894Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0029033Z result = op.Conv( 2023-07-07T20:05:32.0029044Z 2023-07-07T20:05:32.0029544Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0029665Z return op( 2023-07-07T20:05:32.0029673Z 2023-07-07T20:05:32.0030110Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0030315Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0030326Z 2023-07-07T20:05:32.0030910Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0031137Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0031148Z 2023-07-07T20:05:32.0031591Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0031790Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0031800Z 2023-07-07T20:05:32.0032240Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0032639Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0032650Z 2023-07-07T20:05:32.0033171Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0033315Z node.attribute.extend( 2023-07-07T20:05:32.0033325Z 2023-07-07T20:05:32.0033751Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0033892Z make_attribute(key, value) 2023-07-07T20:05:32.0033960Z 2023-07-07T20:05:32.0034426Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0034569Z raise ValueError( 2023-07-07T20:05:32.0034579Z 2023-07-07T20:05:32.0034980Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0035006Z 2023-07-07T20:05:32.0035090Z ``` 2023-07-07T20:05:32.0035291Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0035827Z - diagnostic_context: 2023-07-07T20:05:32.0036173Z - node: fx.Node(convolution_45[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0036510Z - symbolic_fn: 2023-07-07T20:05:32.0036705Z - torch_args: 2023-07-07T20:05:32.0036929Z - torch_kwargs: 2023-07-07T20:05:32.0037154Z - Return value: 2023-07-07T20:05:32.0037656Z [2023-07-07 20:02:26,464] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_45]. 2023-07-07T20:05:32.0037898Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0037909Z 2023-07-07T20:05:32.0038240Z [2023-07-07 20:02:26,464] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0038593Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0038611Z 2023-07-07T20:05:32.0038965Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0039424Z - self: 2023-07-07T20:05:32.0039812Z - node: fx.Node(native_batch_norm_45[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0040002Z - aten_name: 2023-07-07T20:05:32.0040213Z - function_overloads: 2023-07-07T20:05:32.0040420Z - onnx_args: 2023-07-07T20:05:32.0040635Z - onnx_kwargs: 2023-07-07T20:05:32.0041168Z - diagnostic_context: 2023-07-07T20:05:32.0041530Z - Return value: 2023-07-07T20:05:32.0042045Z [2023-07-07 20:02:26,467] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_45]. 2023-07-07T20:05:32.0042297Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0042623Z [2023-07-07 20:02:26,468] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0042729Z ### Exception log 2023-07-07T20:05:32.0042825Z ``` 2023-07-07T20:05:32.0042986Z Traceback (most recent call last): 2023-07-07T20:05:32.0042997Z 2023-07-07T20:05:32.0043685Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0043876Z torch.testing.assert_close( 2023-07-07T20:05:32.0043886Z 2023-07-07T20:05:32.0044362Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0044668Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0044677Z 2023-07-07T20:05:32.0044934Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0044942Z 2023-07-07T20:05:32.0045201Z Mismatched elements: 2205 / 4704 (46.9%) 2023-07-07T20:05:32.0045491Z Greatest absolute difference: nan at index (0, 4, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0045736Z Greatest relative difference: nan at index (0, 4, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0045746Z 2023-07-07T20:05:32.0045844Z ``` 2023-07-07T20:05:32.0046044Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0046566Z - diagnostic_context: 2023-07-07T20:05:32.0047048Z - node: fx.Node(native_batch_norm_45[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0047421Z - symbolic_fn: 2023-07-07T20:05:32.0047605Z - torch_args: 2023-07-07T20:05:32.0047809Z - torch_kwargs: 2023-07-07T20:05:32.0048019Z - Return value: 2023-07-07T20:05:32.0048443Z [2023-07-07 20:02:26,476] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_12]. 2023-07-07T20:05:32.0048672Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0048687Z 2023-07-07T20:05:32.0049021Z [2023-07-07 20:02:26,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0049382Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0049392Z 2023-07-07T20:05:32.0049735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0050168Z - self: 2023-07-07T20:05:32.0050437Z - node: fx.Node(cat_12[call_function]'aten.cat.default') 2023-07-07T20:05:32.0050628Z - aten_name: 2023-07-07T20:05:32.0050853Z - function_overloads: 2023-07-07T20:05:32.0051046Z - onnx_args: 2023-07-07T20:05:32.0051244Z - onnx_kwargs: 2023-07-07T20:05:32.0051718Z - diagnostic_context: 2023-07-07T20:05:32.0051968Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.0052448Z [2023-07-07 20:02:26,482] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_12]. 2023-07-07T20:05:32.0052687Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0052697Z 2023-07-07T20:05:32.0053068Z [2023-07-07 20:02:26,482] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0053422Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0053432Z 2023-07-07T20:05:32.0053759Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0054190Z - self: 2023-07-07T20:05:32.0054515Z - node: fx.Node(transpose_12[call_function]'aten.transpose.int') 2023-07-07T20:05:32.0054722Z - aten_name: 2023-07-07T20:05:32.0054932Z - function_overloads: 2023-07-07T20:05:32.0055142Z - onnx_args: 2023-07-07T20:05:32.0055342Z - onnx_kwargs: 2023-07-07T20:05:32.0055879Z - diagnostic_context: 2023-07-07T20:05:32.0056412Z - Return value: 2023-07-07T20:05:32.0056889Z [2023-07-07 20:02:26,484] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_12]. 2023-07-07T20:05:32.0057133Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0057146Z 2023-07-07T20:05:32.0057505Z [2023-07-07 20:02:26,484] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0057856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0057950Z 2023-07-07T20:05:32.0058266Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0058820Z - self: 2023-07-07T20:05:32.0059166Z - node: fx.Node(clone_12[call_function]'aten.clone.default') 2023-07-07T20:05:32.0059376Z - aten_name: 2023-07-07T20:05:32.0059612Z - function_overloads: 2023-07-07T20:05:32.0059829Z - onnx_args: 2023-07-07T20:05:32.0060095Z - onnx_kwargs: 2023-07-07T20:05:32.0060623Z - diagnostic_context: 2023-07-07T20:05:32.0060894Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.0061354Z [2023-07-07 20:02:26,490] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_10]. 2023-07-07T20:05:32.0061592Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0061604Z 2023-07-07T20:05:32.0061967Z [2023-07-07 20:02:26,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0062324Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0062336Z 2023-07-07T20:05:32.0062667Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0063160Z - self: 2023-07-07T20:05:32.0063466Z - node: fx.Node(split_10[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.0063634Z - aten_name: 2023-07-07T20:05:32.0063831Z - function_overloads: 2023-07-07T20:05:32.0064008Z - onnx_args: 2023-07-07T20:05:32.0064189Z - onnx_kwargs: 2023-07-07T20:05:32.0064761Z - diagnostic_context: 2023-07-07T20:05:32.0065003Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.0065538Z [2023-07-07 20:02:26,492] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_160]. 2023-07-07T20:05:32.0065770Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0065797Z 2023-07-07T20:05:32.0066148Z [2023-07-07 20:02:26,492] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0066460Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0066472Z 2023-07-07T20:05:32.0066781Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0067203Z - self: 2023-07-07T20:05:32.0067567Z - node: fx.Node(getitem_160[call_function]'') 2023-07-07T20:05:32.0067759Z - aten_name: 2023-07-07T20:05:32.0067976Z - function_overloads: 2023-07-07T20:05:32.0068185Z - onnx_args: 2023-07-07T20:05:32.0068370Z - onnx_kwargs: 2023-07-07T20:05:32.0068923Z - diagnostic_context: 2023-07-07T20:05:32.0069199Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0069804Z [2023-07-07 20:02:26,493] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_161]. 2023-07-07T20:05:32.0070058Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0070074Z 2023-07-07T20:05:32.0070441Z [2023-07-07 20:02:26,494] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0070807Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0070819Z 2023-07-07T20:05:32.0071150Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0071705Z - self: 2023-07-07T20:05:32.0072116Z - node: fx.Node(getitem_161[call_function]'') 2023-07-07T20:05:32.0072323Z - aten_name: 2023-07-07T20:05:32.0072564Z - function_overloads: 2023-07-07T20:05:32.0072767Z - onnx_args: 2023-07-07T20:05:32.0072945Z - onnx_kwargs: 2023-07-07T20:05:32.0073447Z - diagnostic_context: 2023-07-07T20:05:32.0073803Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0074321Z [2023-07-07 20:02:26,495] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_46]. 2023-07-07T20:05:32.0074580Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0074591Z 2023-07-07T20:05:32.0075058Z [2023-07-07 20:02:26,495] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0075442Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0075453Z 2023-07-07T20:05:32.0075810Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0076320Z - self: 2023-07-07T20:05:32.0076725Z - node: fx.Node(convolution_46[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0076939Z - aten_name: 2023-07-07T20:05:32.0077174Z - function_overloads: 2023-07-07T20:05:32.0077368Z - onnx_args: 2023-07-07T20:05:32.0077590Z - onnx_kwargs: 2023-07-07T20:05:32.0078171Z - diagnostic_context: 2023-07-07T20:05:32.0078571Z - Return value: 2023-07-07T20:05:32.0079106Z [2023-07-07 20:02:26,500] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_46]. 2023-07-07T20:05:32.0079379Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0079757Z [2023-07-07 20:02:26,500] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0079872Z ### Exception log 2023-07-07T20:05:32.0079983Z ``` 2023-07-07T20:05:32.0080161Z Traceback (most recent call last): 2023-07-07T20:05:32.0080172Z 2023-07-07T20:05:32.0080804Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0081019Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0081029Z 2023-07-07T20:05:32.0081460Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0081600Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0081610Z 2023-07-07T20:05:32.0082147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0082314Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0082321Z 2023-07-07T20:05:32.0082716Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0082901Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0083029Z 2023-07-07T20:05:32.0083489Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0083700Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0083708Z 2023-07-07T20:05:32.0084284Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0084566Z result = op.Conv( 2023-07-07T20:05:32.0084579Z 2023-07-07T20:05:32.0084965Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0085129Z return op( 2023-07-07T20:05:32.0085173Z 2023-07-07T20:05:32.0085439Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0085568Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0085574Z 2023-07-07T20:05:32.0085823Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0085995Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0086001Z 2023-07-07T20:05:32.0086263Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0086385Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0086391Z 2023-07-07T20:05:32.0086658Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0086838Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0086844Z 2023-07-07T20:05:32.0087096Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0087190Z node.attribute.extend( 2023-07-07T20:05:32.0087196Z 2023-07-07T20:05:32.0087453Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0087544Z make_attribute(key, value) 2023-07-07T20:05:32.0087553Z 2023-07-07T20:05:32.0087801Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0087880Z raise ValueError( 2023-07-07T20:05:32.0087885Z 2023-07-07T20:05:32.0088057Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0088062Z 2023-07-07T20:05:32.0088124Z ``` 2023-07-07T20:05:32.0088246Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0088559Z - diagnostic_context: 2023-07-07T20:05:32.0088775Z - node: fx.Node(convolution_46[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0088985Z - symbolic_fn: 2023-07-07T20:05:32.0089093Z - torch_args: 2023-07-07T20:05:32.0089213Z - torch_kwargs: 2023-07-07T20:05:32.0089344Z - Return value: 2023-07-07T20:05:32.0089642Z [2023-07-07 20:02:26,505] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_46]. 2023-07-07T20:05:32.0089793Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0089799Z 2023-07-07T20:05:32.0089996Z [2023-07-07 20:02:26,505] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0090203Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0090209Z 2023-07-07T20:05:32.0090396Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0090665Z - self: 2023-07-07T20:05:32.0090923Z - node: fx.Node(native_batch_norm_46[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0091040Z - aten_name: 2023-07-07T20:05:32.0091174Z - function_overloads: 2023-07-07T20:05:32.0091289Z - onnx_args: 2023-07-07T20:05:32.0091405Z - onnx_kwargs: 2023-07-07T20:05:32.0091710Z - diagnostic_context: 2023-07-07T20:05:32.0091921Z - Return value: 2023-07-07T20:05:32.0092202Z [2023-07-07 20:02:26,509] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_46]. 2023-07-07T20:05:32.0092407Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0092593Z [2023-07-07 20:02:26,509] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0092669Z ### Exception log 2023-07-07T20:05:32.0092730Z ``` 2023-07-07T20:05:32.0092826Z Traceback (most recent call last): 2023-07-07T20:05:32.0092833Z 2023-07-07T20:05:32.0093163Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0093287Z torch.testing.assert_close( 2023-07-07T20:05:32.0093292Z 2023-07-07T20:05:32.0093580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0093662Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0093667Z 2023-07-07T20:05:32.0093825Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0093833Z 2023-07-07T20:05:32.0093929Z Mismatched elements: 2254 / 4704 (47.9%) 2023-07-07T20:05:32.0094072Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0094212Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0094218Z 2023-07-07T20:05:32.0094278Z ``` 2023-07-07T20:05:32.0094400Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0094707Z - diagnostic_context: 2023-07-07T20:05:32.0094925Z - node: fx.Node(native_batch_norm_46[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0095136Z - symbolic_fn: 2023-07-07T20:05:32.0095254Z - torch_args: 2023-07-07T20:05:32.0095374Z - torch_kwargs: 2023-07-07T20:05:32.0095502Z - Return value: 2023-07-07T20:05:32.0095790Z [2023-07-07 20:02:26,518] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_47]. 2023-07-07T20:05:32.0095938Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0095943Z 2023-07-07T20:05:32.0096141Z [2023-07-07 20:02:26,518] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0096335Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0096341Z 2023-07-07T20:05:32.0096529Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0096797Z - self: 2023-07-07T20:05:32.0097013Z - node: fx.Node(convolution_47[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0097126Z - aten_name: 2023-07-07T20:05:32.0097260Z - function_overloads: 2023-07-07T20:05:32.0097377Z - onnx_args: 2023-07-07T20:05:32.0097496Z - onnx_kwargs: 2023-07-07T20:05:32.0097790Z - diagnostic_context: 2023-07-07T20:05:32.0098005Z - Return value: 2023-07-07T20:05:32.0098294Z [2023-07-07 20:02:26,522] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_47]. 2023-07-07T20:05:32.0098481Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0098688Z [2023-07-07 20:02:26,522] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0098766Z ### Exception log 2023-07-07T20:05:32.0098827Z ``` 2023-07-07T20:05:32.0098911Z Traceback (most recent call last): 2023-07-07T20:05:32.0098929Z 2023-07-07T20:05:32.0099248Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0099398Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0099404Z 2023-07-07T20:05:32.0099690Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0099788Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0099793Z 2023-07-07T20:05:32.0100112Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0100207Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0100239Z 2023-07-07T20:05:32.0100500Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0100639Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0100645Z 2023-07-07T20:05:32.0100921Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0101044Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0101066Z 2023-07-07T20:05:32.0101381Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0101459Z result = op.Conv( 2023-07-07T20:05:32.0101465Z 2023-07-07T20:05:32.0101752Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0101824Z return op( 2023-07-07T20:05:32.0101831Z 2023-07-07T20:05:32.0102088Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0102217Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0102223Z 2023-07-07T20:05:32.0102481Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0102612Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0102619Z 2023-07-07T20:05:32.0102881Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0102991Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0103010Z 2023-07-07T20:05:32.0103265Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0103444Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0103451Z 2023-07-07T20:05:32.0103744Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0103837Z node.attribute.extend( 2023-07-07T20:05:32.0103843Z 2023-07-07T20:05:32.0104095Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0104183Z make_attribute(key, value) 2023-07-07T20:05:32.0104188Z 2023-07-07T20:05:32.0104452Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0104533Z raise ValueError( 2023-07-07T20:05:32.0104538Z 2023-07-07T20:05:32.0104712Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0104718Z 2023-07-07T20:05:32.0104765Z ``` 2023-07-07T20:05:32.0104916Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0105227Z - diagnostic_context: 2023-07-07T20:05:32.0105446Z - node: fx.Node(convolution_47[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0105655Z - symbolic_fn: 2023-07-07T20:05:32.0105774Z - torch_args: 2023-07-07T20:05:32.0105892Z - torch_kwargs: 2023-07-07T20:05:32.0106008Z - Return value: 2023-07-07T20:05:32.0106302Z [2023-07-07 20:02:26,527] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_47]. 2023-07-07T20:05:32.0106509Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0106515Z 2023-07-07T20:05:32.0106712Z [2023-07-07 20:02:26,528] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0106918Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0106924Z 2023-07-07T20:05:32.0107135Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0107404Z - self: 2023-07-07T20:05:32.0107628Z - node: fx.Node(native_batch_norm_47[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0107742Z - aten_name: 2023-07-07T20:05:32.0107862Z - function_overloads: 2023-07-07T20:05:32.0107976Z - onnx_args: 2023-07-07T20:05:32.0108096Z - onnx_kwargs: 2023-07-07T20:05:32.0108400Z - diagnostic_context: 2023-07-07T20:05:32.0108610Z - Return value: 2023-07-07T20:05:32.0108907Z [2023-07-07 20:02:26,531] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_47]. 2023-07-07T20:05:32.0109059Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0109248Z [2023-07-07 20:02:26,531] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0109310Z ### Exception log 2023-07-07T20:05:32.0109371Z ``` 2023-07-07T20:05:32.0109469Z Traceback (most recent call last): 2023-07-07T20:05:32.0109474Z 2023-07-07T20:05:32.0109806Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0109905Z torch.testing.assert_close( 2023-07-07T20:05:32.0109910Z 2023-07-07T20:05:32.0110195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0110288Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0110293Z 2023-07-07T20:05:32.0110450Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0110455Z 2023-07-07T20:05:32.0110541Z Mismatched elements: 2548 / 4704 (54.2%) 2023-07-07T20:05:32.0110682Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0110822Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0110828Z 2023-07-07T20:05:32.0110888Z ``` 2023-07-07T20:05:32.0111008Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0111313Z - diagnostic_context: 2023-07-07T20:05:32.0111538Z - node: fx.Node(native_batch_norm_47[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0111749Z - symbolic_fn: 2023-07-07T20:05:32.0111855Z - torch_args: 2023-07-07T20:05:32.0111974Z - torch_kwargs: 2023-07-07T20:05:32.0112102Z - Return value: 2023-07-07T20:05:32.0112414Z [2023-07-07 20:02:26,533] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_48]. 2023-07-07T20:05:32.0112560Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0112568Z 2023-07-07T20:05:32.0112764Z [2023-07-07 20:02:26,533] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0112967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0112973Z 2023-07-07T20:05:32.0113156Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0113468Z - self: 2023-07-07T20:05:32.0113699Z - node: fx.Node(convolution_48[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0113815Z - aten_name: 2023-07-07T20:05:32.0113945Z - function_overloads: 2023-07-07T20:05:32.0114059Z - onnx_args: 2023-07-07T20:05:32.0114174Z - onnx_kwargs: 2023-07-07T20:05:32.0114480Z - diagnostic_context: 2023-07-07T20:05:32.0114819Z - Return value: 2023-07-07T20:05:32.0115097Z [2023-07-07 20:02:26,538] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_48]. 2023-07-07T20:05:32.0115242Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0115443Z [2023-07-07 20:02:26,539] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0115521Z ### Exception log 2023-07-07T20:05:32.0115583Z ``` 2023-07-07T20:05:32.0115678Z Traceback (most recent call last): 2023-07-07T20:05:32.0115686Z 2023-07-07T20:05:32.0116018Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0116140Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0116147Z 2023-07-07T20:05:32.0116409Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0116493Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0116498Z 2023-07-07T20:05:32.0116816Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0116911Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0116917Z 2023-07-07T20:05:32.0117175Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0117313Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0117321Z 2023-07-07T20:05:32.0117596Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0117729Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0117735Z 2023-07-07T20:05:32.0118063Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0118141Z result = op.Conv( 2023-07-07T20:05:32.0118146Z 2023-07-07T20:05:32.0118429Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0118487Z return op( 2023-07-07T20:05:32.0118492Z 2023-07-07T20:05:32.0118749Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0118878Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0118883Z 2023-07-07T20:05:32.0119143Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0119271Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0119276Z 2023-07-07T20:05:32.0119572Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0119699Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0119705Z 2023-07-07T20:05:32.0119971Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0120144Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0120150Z 2023-07-07T20:05:32.0120404Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0120512Z node.attribute.extend( 2023-07-07T20:05:32.0120518Z 2023-07-07T20:05:32.0120805Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0120896Z make_attribute(key, value) 2023-07-07T20:05:32.0120901Z 2023-07-07T20:05:32.0121164Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0121243Z raise ValueError( 2023-07-07T20:05:32.0121274Z 2023-07-07T20:05:32.0121449Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0121454Z 2023-07-07T20:05:32.0121514Z ``` 2023-07-07T20:05:32.0121634Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0121926Z - diagnostic_context: 2023-07-07T20:05:32.0122143Z - node: fx.Node(convolution_48[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0122356Z - symbolic_fn: 2023-07-07T20:05:32.0122475Z - torch_args: 2023-07-07T20:05:32.0122595Z - torch_kwargs: 2023-07-07T20:05:32.0122722Z - Return value: 2023-07-07T20:05:32.0123021Z [2023-07-07 20:02:26,544] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_48]. 2023-07-07T20:05:32.0123172Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0123180Z 2023-07-07T20:05:32.0123364Z [2023-07-07 20:02:26,544] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0123567Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0123572Z 2023-07-07T20:05:32.0123755Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0124025Z - self: 2023-07-07T20:05:32.0124252Z - node: fx.Node(native_batch_norm_48[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0124513Z - aten_name: 2023-07-07T20:05:32.0124647Z - function_overloads: 2023-07-07T20:05:32.0124763Z - onnx_args: 2023-07-07T20:05:32.0124866Z - onnx_kwargs: 2023-07-07T20:05:32.0125172Z - diagnostic_context: 2023-07-07T20:05:32.0125386Z - Return value: 2023-07-07T20:05:32.0125681Z [2023-07-07 20:02:26,547] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_48]. 2023-07-07T20:05:32.0125831Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0126018Z [2023-07-07 20:02:26,547] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0126096Z ### Exception log 2023-07-07T20:05:32.0126157Z ``` 2023-07-07T20:05:32.0126240Z Traceback (most recent call last): 2023-07-07T20:05:32.0126247Z 2023-07-07T20:05:32.0126580Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0126675Z torch.testing.assert_close( 2023-07-07T20:05:32.0126681Z 2023-07-07T20:05:32.0127018Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0127116Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0127121Z 2023-07-07T20:05:32.0127279Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0127285Z 2023-07-07T20:05:32.0127382Z Mismatched elements: 2548 / 4704 (54.2%) 2023-07-07T20:05:32.0127523Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0127663Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0127704Z 2023-07-07T20:05:32.0127752Z ``` 2023-07-07T20:05:32.0127908Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0128217Z - diagnostic_context: 2023-07-07T20:05:32.0128447Z - node: fx.Node(native_batch_norm_48[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0128658Z - symbolic_fn: 2023-07-07T20:05:32.0128812Z - torch_args: 2023-07-07T20:05:32.0128930Z - torch_kwargs: 2023-07-07T20:05:32.0129044Z - Return value: 2023-07-07T20:05:32.0129291Z [2023-07-07 20:02:26,556] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_13]. 2023-07-07T20:05:32.0129422Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0129428Z 2023-07-07T20:05:32.0129626Z [2023-07-07 20:02:26,556] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0129833Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0129839Z 2023-07-07T20:05:32.0130026Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0130295Z - self: 2023-07-07T20:05:32.0130472Z - node: fx.Node(cat_13[call_function]'aten.cat.default') 2023-07-07T20:05:32.0130586Z - aten_name: 2023-07-07T20:05:32.0130705Z - function_overloads: 2023-07-07T20:05:32.0130821Z - onnx_args: 2023-07-07T20:05:32.0130937Z - onnx_kwargs: 2023-07-07T20:05:32.0131240Z - diagnostic_context: 2023-07-07T20:05:32.0131381Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.0131645Z [2023-07-07 20:02:26,562] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_13]. 2023-07-07T20:05:32.0131793Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0131799Z 2023-07-07T20:05:32.0131995Z [2023-07-07 20:02:26,562] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0132184Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0132204Z 2023-07-07T20:05:32.0132374Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0132643Z - self: 2023-07-07T20:05:32.0132838Z - node: fx.Node(transpose_13[call_function]'aten.transpose.int') 2023-07-07T20:05:32.0132950Z - aten_name: 2023-07-07T20:05:32.0133081Z - function_overloads: 2023-07-07T20:05:32.0133195Z - onnx_args: 2023-07-07T20:05:32.0133312Z - onnx_kwargs: 2023-07-07T20:05:32.0133603Z - diagnostic_context: 2023-07-07T20:05:32.0133814Z - Return value: 2023-07-07T20:05:32.0134066Z [2023-07-07 20:02:26,564] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_13]. 2023-07-07T20:05:32.0134227Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0134233Z 2023-07-07T20:05:32.0134431Z [2023-07-07 20:02:26,564] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0134633Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0134639Z 2023-07-07T20:05:32.0134822Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0135088Z - self: 2023-07-07T20:05:32.0135302Z - node: fx.Node(clone_13[call_function]'aten.clone.default') 2023-07-07T20:05:32.0135402Z - aten_name: 2023-07-07T20:05:32.0135560Z - function_overloads: 2023-07-07T20:05:32.0135675Z - onnx_args: 2023-07-07T20:05:32.0135791Z - onnx_kwargs: 2023-07-07T20:05:32.0136096Z - diagnostic_context: 2023-07-07T20:05:32.0136245Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.0136551Z [2023-07-07 20:02:26,569] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_11]. 2023-07-07T20:05:32.0136675Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0136681Z 2023-07-07T20:05:32.0136877Z [2023-07-07 20:02:26,569] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0137076Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0137085Z 2023-07-07T20:05:32.0137269Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0137537Z - self: 2023-07-07T20:05:32.0137720Z - node: fx.Node(split_11[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.0137833Z - aten_name: 2023-07-07T20:05:32.0137965Z - function_overloads: 2023-07-07T20:05:32.0138066Z - onnx_args: 2023-07-07T20:05:32.0138184Z - onnx_kwargs: 2023-07-07T20:05:32.0138485Z - diagnostic_context: 2023-07-07T20:05:32.0138632Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.0138904Z [2023-07-07 20:02:26,572] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_171]. 2023-07-07T20:05:32.0139044Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0139051Z 2023-07-07T20:05:32.0139245Z [2023-07-07 20:02:26,572] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0139448Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0139453Z 2023-07-07T20:05:32.0139634Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0139888Z - self: 2023-07-07T20:05:32.0140095Z - node: fx.Node(getitem_171[call_function]'') 2023-07-07T20:05:32.0140208Z - aten_name: 2023-07-07T20:05:32.0140339Z - function_overloads: 2023-07-07T20:05:32.0140453Z - onnx_args: 2023-07-07T20:05:32.0140569Z - onnx_kwargs: 2023-07-07T20:05:32.0140872Z - diagnostic_context: 2023-07-07T20:05:32.0141015Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0141290Z [2023-07-07 20:02:26,574] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_172]. 2023-07-07T20:05:32.0141427Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0141433Z 2023-07-07T20:05:32.0141627Z [2023-07-07 20:02:26,574] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0141856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0141864Z 2023-07-07T20:05:32.0142048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0142314Z - self: 2023-07-07T20:05:32.0142517Z - node: fx.Node(getitem_172[call_function]'') 2023-07-07T20:05:32.0142629Z - aten_name: 2023-07-07T20:05:32.0142775Z - function_overloads: 2023-07-07T20:05:32.0142889Z - onnx_args: 2023-07-07T20:05:32.0143030Z - onnx_kwargs: 2023-07-07T20:05:32.0143333Z - diagnostic_context: 2023-07-07T20:05:32.0143485Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0143773Z [2023-07-07 20:02:26,575] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_49]. 2023-07-07T20:05:32.0143943Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0143949Z 2023-07-07T20:05:32.0144143Z [2023-07-07 20:02:26,575] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0144329Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0144346Z 2023-07-07T20:05:32.0144515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0144788Z - self: 2023-07-07T20:05:32.0145003Z - node: fx.Node(convolution_49[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0145116Z - aten_name: 2023-07-07T20:05:32.0145248Z - function_overloads: 2023-07-07T20:05:32.0145362Z - onnx_args: 2023-07-07T20:05:32.0145481Z - onnx_kwargs: 2023-07-07T20:05:32.0145770Z - diagnostic_context: 2023-07-07T20:05:32.0145985Z - Return value: 2023-07-07T20:05:32.0146266Z [2023-07-07 20:02:26,579] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_49]. 2023-07-07T20:05:32.0146409Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0146609Z [2023-07-07 20:02:26,579] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0146684Z ### Exception log 2023-07-07T20:05:32.0146746Z ``` 2023-07-07T20:05:32.0146841Z Traceback (most recent call last): 2023-07-07T20:05:32.0146847Z 2023-07-07T20:05:32.0147167Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0147291Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0147297Z 2023-07-07T20:05:32.0147560Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0147654Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0147660Z 2023-07-07T20:05:32.0147975Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0148069Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0148074Z 2023-07-07T20:05:32.0148334Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0148470Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0148476Z 2023-07-07T20:05:32.0148750Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0148928Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0148934Z 2023-07-07T20:05:32.0149251Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0149330Z result = op.Conv( 2023-07-07T20:05:32.0149335Z 2023-07-07T20:05:32.0149619Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0149689Z return op( 2023-07-07T20:05:32.0149694Z 2023-07-07T20:05:32.0149952Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0150134Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0150140Z 2023-07-07T20:05:32.0150399Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0150530Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0150535Z 2023-07-07T20:05:32.0150798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0150936Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0150955Z 2023-07-07T20:05:32.0151211Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0151388Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0151393Z 2023-07-07T20:05:32.0151647Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0151741Z node.attribute.extend( 2023-07-07T20:05:32.0151748Z 2023-07-07T20:05:32.0152005Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0152093Z make_attribute(key, value) 2023-07-07T20:05:32.0152098Z 2023-07-07T20:05:32.0152362Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0152443Z raise ValueError( 2023-07-07T20:05:32.0152448Z 2023-07-07T20:05:32.0152619Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0152624Z 2023-07-07T20:05:32.0152671Z ``` 2023-07-07T20:05:32.0152794Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0153099Z - diagnostic_context: 2023-07-07T20:05:32.0153317Z - node: fx.Node(convolution_49[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0153529Z - symbolic_fn: 2023-07-07T20:05:32.0153647Z - torch_args: 2023-07-07T20:05:32.0153768Z - torch_kwargs: 2023-07-07T20:05:32.0153894Z - Return value: 2023-07-07T20:05:32.0154178Z [2023-07-07 20:02:26,584] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_49]. 2023-07-07T20:05:32.0154333Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0154338Z 2023-07-07T20:05:32.0154533Z [2023-07-07 20:02:26,584] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0154838Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0154844Z 2023-07-07T20:05:32.0155029Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0155303Z - self: 2023-07-07T20:05:32.0155533Z - node: fx.Node(native_batch_norm_49[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0155648Z - aten_name: 2023-07-07T20:05:32.0155767Z - function_overloads: 2023-07-07T20:05:32.0155882Z - onnx_args: 2023-07-07T20:05:32.0156036Z - onnx_kwargs: 2023-07-07T20:05:32.0156343Z - diagnostic_context: 2023-07-07T20:05:32.0156556Z - Return value: 2023-07-07T20:05:32.0156853Z [2023-07-07 20:02:26,588] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_49]. 2023-07-07T20:05:32.0157002Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0157188Z [2023-07-07 20:02:26,588] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0157276Z ### Exception log 2023-07-07T20:05:32.0157339Z ``` 2023-07-07T20:05:32.0157460Z Traceback (most recent call last): 2023-07-07T20:05:32.0157467Z 2023-07-07T20:05:32.0157798Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0157896Z torch.testing.assert_close( 2023-07-07T20:05:32.0157902Z 2023-07-07T20:05:32.0158186Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0158308Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0158313Z 2023-07-07T20:05:32.0158469Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0158475Z 2023-07-07T20:05:32.0158570Z Mismatched elements: 2401 / 4704 (51.0%) 2023-07-07T20:05:32.0158698Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0158839Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0158844Z 2023-07-07T20:05:32.0158906Z ``` 2023-07-07T20:05:32.0159027Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0159335Z - diagnostic_context: 2023-07-07T20:05:32.0159563Z - node: fx.Node(native_batch_norm_49[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0159772Z - symbolic_fn: 2023-07-07T20:05:32.0159892Z - torch_args: 2023-07-07T20:05:32.0159999Z - torch_kwargs: 2023-07-07T20:05:32.0160127Z - Return value: 2023-07-07T20:05:32.0160413Z [2023-07-07 20:02:26,598] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_50]. 2023-07-07T20:05:32.0160556Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0160564Z 2023-07-07T20:05:32.0160760Z [2023-07-07 20:02:26,598] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0160966Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0160971Z 2023-07-07T20:05:32.0161155Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0161426Z - self: 2023-07-07T20:05:32.0161629Z - node: fx.Node(convolution_50[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0161743Z - aten_name: 2023-07-07T20:05:32.0161874Z - function_overloads: 2023-07-07T20:05:32.0161990Z - onnx_args: 2023-07-07T20:05:32.0162107Z - onnx_kwargs: 2023-07-07T20:05:32.0162410Z - diagnostic_context: 2023-07-07T20:05:32.0162622Z - Return value: 2023-07-07T20:05:32.0162910Z [2023-07-07 20:02:26,602] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_50]. 2023-07-07T20:05:32.0163042Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0163241Z [2023-07-07 20:02:26,602] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0163315Z ### Exception log 2023-07-07T20:05:32.0163404Z ``` 2023-07-07T20:05:32.0163502Z Traceback (most recent call last): 2023-07-07T20:05:32.0163510Z 2023-07-07T20:05:32.0163839Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0163960Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0163966Z 2023-07-07T20:05:32.0164227Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0164337Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0164342Z 2023-07-07T20:05:32.0164814Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0164913Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0164918Z 2023-07-07T20:05:32.0165181Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0165321Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0165358Z 2023-07-07T20:05:32.0165636Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0165771Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0165776Z 2023-07-07T20:05:32.0166105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0166187Z result = op.Conv( 2023-07-07T20:05:32.0166192Z 2023-07-07T20:05:32.0166477Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0166536Z return op( 2023-07-07T20:05:32.0166541Z 2023-07-07T20:05:32.0166799Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0166927Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0166934Z 2023-07-07T20:05:32.0167195Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0167323Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0167328Z 2023-07-07T20:05:32.0167589Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0167712Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0167719Z 2023-07-07T20:05:32.0167988Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0168163Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0168169Z 2023-07-07T20:05:32.0168423Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0168503Z node.attribute.extend( 2023-07-07T20:05:32.0168510Z 2023-07-07T20:05:32.0168763Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0168850Z make_attribute(key, value) 2023-07-07T20:05:32.0168856Z 2023-07-07T20:05:32.0169120Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0169199Z raise ValueError( 2023-07-07T20:05:32.0169204Z 2023-07-07T20:05:32.0169376Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0169384Z 2023-07-07T20:05:32.0169444Z ``` 2023-07-07T20:05:32.0169565Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0169870Z - diagnostic_context: 2023-07-07T20:05:32.0170073Z - node: fx.Node(convolution_50[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0170319Z - symbolic_fn: 2023-07-07T20:05:32.0170441Z - torch_args: 2023-07-07T20:05:32.0170560Z - torch_kwargs: 2023-07-07T20:05:32.0170688Z - Return value: 2023-07-07T20:05:32.0170985Z [2023-07-07 20:02:26,607] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_50]. 2023-07-07T20:05:32.0171135Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0171141Z 2023-07-07T20:05:32.0171369Z [2023-07-07 20:02:26,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0171597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0171604Z 2023-07-07T20:05:32.0171786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0172053Z - self: 2023-07-07T20:05:32.0172309Z - node: fx.Node(native_batch_norm_50[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0172422Z - aten_name: 2023-07-07T20:05:32.0172555Z - function_overloads: 2023-07-07T20:05:32.0172670Z - onnx_args: 2023-07-07T20:05:32.0172786Z - onnx_kwargs: 2023-07-07T20:05:32.0173078Z - diagnostic_context: 2023-07-07T20:05:32.0173290Z - Return value: 2023-07-07T20:05:32.0173588Z [2023-07-07 20:02:26,611] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_50]. 2023-07-07T20:05:32.0173736Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0173923Z [2023-07-07 20:02:26,611] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0174001Z ### Exception log 2023-07-07T20:05:32.0174063Z ``` 2023-07-07T20:05:32.0174146Z Traceback (most recent call last): 2023-07-07T20:05:32.0174154Z 2023-07-07T20:05:32.0174483Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0174579Z torch.testing.assert_close( 2023-07-07T20:05:32.0174584Z 2023-07-07T20:05:32.0174871Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0174967Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0174973Z 2023-07-07T20:05:32.0175128Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0175136Z 2023-07-07T20:05:32.0175232Z Mismatched elements: 2401 / 4704 (51.0%) 2023-07-07T20:05:32.0175372Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0175514Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0175520Z 2023-07-07T20:05:32.0175567Z ``` 2023-07-07T20:05:32.0175688Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0175991Z - diagnostic_context: 2023-07-07T20:05:32.0176218Z - node: fx.Node(native_batch_norm_50[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0176428Z - symbolic_fn: 2023-07-07T20:05:32.0176545Z - torch_args: 2023-07-07T20:05:32.0176665Z - torch_kwargs: 2023-07-07T20:05:32.0176792Z - Return value: 2023-07-07T20:05:32.0177069Z [2023-07-07 20:02:26,613] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_51]. 2023-07-07T20:05:32.0177214Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0177220Z 2023-07-07T20:05:32.0177441Z [2023-07-07 20:02:26,613] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0177647Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0177654Z 2023-07-07T20:05:32.0177838Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0178108Z - self: 2023-07-07T20:05:32.0178321Z - node: fx.Node(convolution_51[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0178463Z - aten_name: 2023-07-07T20:05:32.0178583Z - function_overloads: 2023-07-07T20:05:32.0178698Z - onnx_args: 2023-07-07T20:05:32.0178840Z - onnx_kwargs: 2023-07-07T20:05:32.0179147Z - diagnostic_context: 2023-07-07T20:05:32.0179355Z - Return value: 2023-07-07T20:05:32.0179640Z [2023-07-07 20:02:26,618] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_51]. 2023-07-07T20:05:32.0179817Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0180018Z [2023-07-07 20:02:26,618] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0180079Z ### Exception log 2023-07-07T20:05:32.0180139Z ``` 2023-07-07T20:05:32.0180233Z Traceback (most recent call last): 2023-07-07T20:05:32.0180238Z 2023-07-07T20:05:32.0180567Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0180692Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0180698Z 2023-07-07T20:05:32.0180957Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0181049Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0181054Z 2023-07-07T20:05:32.0181373Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0181470Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0181476Z 2023-07-07T20:05:32.0181722Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0181858Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0181864Z 2023-07-07T20:05:32.0182136Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0182273Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0182278Z 2023-07-07T20:05:32.0182605Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0182682Z result = op.Conv( 2023-07-07T20:05:32.0182689Z 2023-07-07T20:05:32.0182972Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0183044Z return op( 2023-07-07T20:05:32.0183049Z 2023-07-07T20:05:32.0183304Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0183429Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0183434Z 2023-07-07T20:05:32.0183682Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0183813Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0183820Z 2023-07-07T20:05:32.0184080Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0184203Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0184208Z 2023-07-07T20:05:32.0184502Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0184681Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0184687Z 2023-07-07T20:05:32.0184939Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0185030Z node.attribute.extend( 2023-07-07T20:05:32.0185036Z 2023-07-07T20:05:32.0185290Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0185405Z make_attribute(key, value) 2023-07-07T20:05:32.0185410Z 2023-07-07T20:05:32.0185686Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0185768Z raise ValueError( 2023-07-07T20:05:32.0185773Z 2023-07-07T20:05:32.0185945Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0185952Z 2023-07-07T20:05:32.0186012Z ``` 2023-07-07T20:05:32.0186164Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0186470Z - diagnostic_context: 2023-07-07T20:05:32.0186682Z - node: fx.Node(convolution_51[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0186894Z - symbolic_fn: 2023-07-07T20:05:32.0186998Z - torch_args: 2023-07-07T20:05:32.0187115Z - torch_kwargs: 2023-07-07T20:05:32.0187244Z - Return value: 2023-07-07T20:05:32.0187542Z [2023-07-07 20:02:26,624] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_51]. 2023-07-07T20:05:32.0187692Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0187697Z 2023-07-07T20:05:32.0187895Z [2023-07-07 20:02:26,624] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0188095Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0188103Z 2023-07-07T20:05:32.0188285Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0188552Z - self: 2023-07-07T20:05:32.0188763Z - node: fx.Node(native_batch_norm_51[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0188879Z - aten_name: 2023-07-07T20:05:32.0189010Z - function_overloads: 2023-07-07T20:05:32.0189125Z - onnx_args: 2023-07-07T20:05:32.0189244Z - onnx_kwargs: 2023-07-07T20:05:32.0189547Z - diagnostic_context: 2023-07-07T20:05:32.0189757Z - Return value: 2023-07-07T20:05:32.0190042Z [2023-07-07 20:02:26,628] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_51]. 2023-07-07T20:05:32.0190192Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0190378Z [2023-07-07 20:02:26,628] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0190451Z ### Exception log 2023-07-07T20:05:32.0190512Z ``` 2023-07-07T20:05:32.0190607Z Traceback (most recent call last): 2023-07-07T20:05:32.0190612Z 2023-07-07T20:05:32.0190941Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0191040Z torch.testing.assert_close( 2023-07-07T20:05:32.0191046Z 2023-07-07T20:05:32.0191319Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0191412Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0191418Z 2023-07-07T20:05:32.0191603Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0191612Z 2023-07-07T20:05:32.0191709Z Mismatched elements: 2205 / 4704 (46.9%) 2023-07-07T20:05:32.0191849Z Greatest absolute difference: nan at index (0, 1, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0191987Z Greatest relative difference: nan at index (0, 1, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0191992Z 2023-07-07T20:05:32.0192054Z ``` 2023-07-07T20:05:32.0192174Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0192478Z - diagnostic_context: 2023-07-07T20:05:32.0192772Z - node: fx.Node(native_batch_norm_51[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0192983Z - symbolic_fn: 2023-07-07T20:05:32.0193098Z - torch_args: 2023-07-07T20:05:32.0193216Z - torch_kwargs: 2023-07-07T20:05:32.0193345Z - Return value: 2023-07-07T20:05:32.0193593Z [2023-07-07 20:02:26,875] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_14]. 2023-07-07T20:05:32.0193754Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0193759Z 2023-07-07T20:05:32.0193955Z [2023-07-07 20:02:26,875] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0194146Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0194153Z 2023-07-07T20:05:32.0194342Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0194685Z - self: 2023-07-07T20:05:32.0194866Z - node: fx.Node(cat_14[call_function]'aten.cat.default') 2023-07-07T20:05:32.0194979Z - aten_name: 2023-07-07T20:05:32.0195109Z - function_overloads: 2023-07-07T20:05:32.0195226Z - onnx_args: 2023-07-07T20:05:32.0195331Z - onnx_kwargs: 2023-07-07T20:05:32.0195638Z - diagnostic_context: 2023-07-07T20:05:32.0195780Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.0196048Z [2023-07-07 20:02:26,880] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_14]. 2023-07-07T20:05:32.0196192Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0196197Z 2023-07-07T20:05:32.0196394Z [2023-07-07 20:02:26,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0196602Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0196607Z 2023-07-07T20:05:32.0196791Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0197059Z - self: 2023-07-07T20:05:32.0197241Z - node: fx.Node(transpose_14[call_function]'aten.transpose.int') 2023-07-07T20:05:32.0197357Z - aten_name: 2023-07-07T20:05:32.0197488Z - function_overloads: 2023-07-07T20:05:32.0197602Z - onnx_args: 2023-07-07T20:05:32.0197717Z - onnx_kwargs: 2023-07-07T20:05:32.0198019Z - diagnostic_context: 2023-07-07T20:05:32.0198230Z - Return value: 2023-07-07T20:05:32.0198486Z [2023-07-07 20:02:26,883] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_14]. 2023-07-07T20:05:32.0198611Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0198617Z 2023-07-07T20:05:32.0198811Z [2023-07-07 20:02:26,883] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0199060Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0199069Z 2023-07-07T20:05:32.0199253Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0199520Z - self: 2023-07-07T20:05:32.0199703Z - node: fx.Node(clone_14[call_function]'aten.clone.default') 2023-07-07T20:05:32.0199815Z - aten_name: 2023-07-07T20:05:32.0199946Z - function_overloads: 2023-07-07T20:05:32.0200076Z - onnx_args: 2023-07-07T20:05:32.0200194Z - onnx_kwargs: 2023-07-07T20:05:32.0200523Z - diagnostic_context: 2023-07-07T20:05:32.0200671Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.0200927Z [2023-07-07 20:02:26,888] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_12]. 2023-07-07T20:05:32.0201064Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0201100Z 2023-07-07T20:05:32.0201297Z [2023-07-07 20:02:26,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0201498Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0201504Z 2023-07-07T20:05:32.0201687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0201941Z - self: 2023-07-07T20:05:32.0202126Z - node: fx.Node(split_12[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.0202241Z - aten_name: 2023-07-07T20:05:32.0202371Z - function_overloads: 2023-07-07T20:05:32.0202486Z - onnx_args: 2023-07-07T20:05:32.0202602Z - onnx_kwargs: 2023-07-07T20:05:32.0202907Z - diagnostic_context: 2023-07-07T20:05:32.0203041Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.0203316Z [2023-07-07 20:02:26,891] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_182]. 2023-07-07T20:05:32.0203453Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0203459Z 2023-07-07T20:05:32.0203653Z [2023-07-07 20:02:26,891] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0203856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0203864Z 2023-07-07T20:05:32.0204048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0204314Z - self: 2023-07-07T20:05:32.0204709Z - node: fx.Node(getitem_182[call_function]'') 2023-07-07T20:05:32.0204834Z - aten_name: 2023-07-07T20:05:32.0204953Z - function_overloads: 2023-07-07T20:05:32.0205070Z - onnx_args: 2023-07-07T20:05:32.0205187Z - onnx_kwargs: 2023-07-07T20:05:32.0205490Z - diagnostic_context: 2023-07-07T20:05:32.0205644Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0205919Z [2023-07-07 20:02:26,892] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_183]. 2023-07-07T20:05:32.0206061Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0206067Z 2023-07-07T20:05:32.0206265Z [2023-07-07 20:02:26,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0206453Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0206459Z 2023-07-07T20:05:32.0206696Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0206972Z - self: 2023-07-07T20:05:32.0207174Z - node: fx.Node(getitem_183[call_function]'') 2023-07-07T20:05:32.0207288Z - aten_name: 2023-07-07T20:05:32.0207420Z - function_overloads: 2023-07-07T20:05:32.0207536Z - onnx_args: 2023-07-07T20:05:32.0207652Z - onnx_kwargs: 2023-07-07T20:05:32.0207943Z - diagnostic_context: 2023-07-07T20:05:32.0208132Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0208450Z [2023-07-07 20:02:26,894] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_52]. 2023-07-07T20:05:32.0208596Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0208601Z 2023-07-07T20:05:32.0208801Z [2023-07-07 20:02:26,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0209037Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0209043Z 2023-07-07T20:05:32.0209223Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0209489Z - self: 2023-07-07T20:05:32.0209704Z - node: fx.Node(convolution_52[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0209805Z - aten_name: 2023-07-07T20:05:32.0209937Z - function_overloads: 2023-07-07T20:05:32.0210053Z - onnx_args: 2023-07-07T20:05:32.0210171Z - onnx_kwargs: 2023-07-07T20:05:32.0210472Z - diagnostic_context: 2023-07-07T20:05:32.0210683Z - Return value: 2023-07-07T20:05:32.0210968Z [2023-07-07 20:02:26,899] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_52]. 2023-07-07T20:05:32.0211101Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0211301Z [2023-07-07 20:02:26,899] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0211376Z ### Exception log 2023-07-07T20:05:32.0211440Z ``` 2023-07-07T20:05:32.0211536Z Traceback (most recent call last): 2023-07-07T20:05:32.0211542Z 2023-07-07T20:05:32.0211875Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0211999Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0212005Z 2023-07-07T20:05:32.0212266Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0212349Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0212368Z 2023-07-07T20:05:32.0212675Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0212773Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0212778Z 2023-07-07T20:05:32.0213033Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0213169Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0213177Z 2023-07-07T20:05:32.0213449Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0213585Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0213591Z 2023-07-07T20:05:32.0213920Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0214026Z result = op.Conv( 2023-07-07T20:05:32.0214032Z 2023-07-07T20:05:32.0214320Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0214377Z return op( 2023-07-07T20:05:32.0214395Z 2023-07-07T20:05:32.0214640Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0214766Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0214771Z 2023-07-07T20:05:32.0215032Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0215219Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0215224Z 2023-07-07T20:05:32.0215484Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0215610Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0215618Z 2023-07-07T20:05:32.0215885Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0216089Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0216095Z 2023-07-07T20:05:32.0216348Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0216427Z node.attribute.extend( 2023-07-07T20:05:32.0216432Z 2023-07-07T20:05:32.0216684Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0216775Z make_attribute(key, value) 2023-07-07T20:05:32.0216784Z 2023-07-07T20:05:32.0217045Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0217125Z raise ValueError( 2023-07-07T20:05:32.0217131Z 2023-07-07T20:05:32.0217307Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0217315Z 2023-07-07T20:05:32.0217376Z ``` 2023-07-07T20:05:32.0217496Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0217802Z - diagnostic_context: 2023-07-07T20:05:32.0218005Z - node: fx.Node(convolution_52[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0218214Z - symbolic_fn: 2023-07-07T20:05:32.0218332Z - torch_args: 2023-07-07T20:05:32.0218457Z - torch_kwargs: 2023-07-07T20:05:32.0218585Z - Return value: 2023-07-07T20:05:32.0218881Z [2023-07-07 20:02:26,906] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_52]. 2023-07-07T20:05:32.0219032Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0219038Z 2023-07-07T20:05:32.0219236Z [2023-07-07 20:02:26,906] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0219428Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0219447Z 2023-07-07T20:05:32.0219618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0219884Z - self: 2023-07-07T20:05:32.0220106Z - node: fx.Node(native_batch_norm_52[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0220221Z - aten_name: 2023-07-07T20:05:32.0220354Z - function_overloads: 2023-07-07T20:05:32.0220470Z - onnx_args: 2023-07-07T20:05:32.0220585Z - onnx_kwargs: 2023-07-07T20:05:32.0220875Z - diagnostic_context: 2023-07-07T20:05:32.0221113Z - Return value: 2023-07-07T20:05:32.0221409Z [2023-07-07 20:02:26,910] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_52]. 2023-07-07T20:05:32.0221563Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0221746Z [2023-07-07 20:02:26,911] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0221819Z ### Exception log 2023-07-07T20:05:32.0221878Z ``` 2023-07-07T20:05:32.0221961Z Traceback (most recent call last): 2023-07-07T20:05:32.0221979Z 2023-07-07T20:05:32.0222357Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0222454Z torch.testing.assert_close( 2023-07-07T20:05:32.0222459Z 2023-07-07T20:05:32.0222744Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0222840Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0222846Z 2023-07-07T20:05:32.0223001Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0223034Z 2023-07-07T20:05:32.0223130Z Mismatched elements: 2058 / 4704 (43.8%) 2023-07-07T20:05:32.0223273Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0223413Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0223418Z 2023-07-07T20:05:32.0223477Z ``` 2023-07-07T20:05:32.0223587Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0223892Z - diagnostic_context: 2023-07-07T20:05:32.0224120Z - node: fx.Node(native_batch_norm_52[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0224331Z - symbolic_fn: 2023-07-07T20:05:32.0224448Z - torch_args: 2023-07-07T20:05:32.0224566Z - torch_kwargs: 2023-07-07T20:05:32.0224695Z - Return value: 2023-07-07T20:05:32.0224972Z [2023-07-07 20:02:26,923] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_53]. 2023-07-07T20:05:32.0225115Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0225121Z 2023-07-07T20:05:32.0225314Z [2023-07-07 20:02:26,923] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0225515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0225523Z 2023-07-07T20:05:32.0225708Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0225976Z - self: 2023-07-07T20:05:32.0226188Z - node: fx.Node(convolution_53[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0226301Z - aten_name: 2023-07-07T20:05:32.0226433Z - function_overloads: 2023-07-07T20:05:32.0226538Z - onnx_args: 2023-07-07T20:05:32.0226652Z - onnx_kwargs: 2023-07-07T20:05:32.0226958Z - diagnostic_context: 2023-07-07T20:05:32.0227168Z - Return value: 2023-07-07T20:05:32.0227454Z [2023-07-07 20:02:26,929] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_53]. 2023-07-07T20:05:32.0227599Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0227798Z [2023-07-07 20:02:26,929] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0227859Z ### Exception log 2023-07-07T20:05:32.0227919Z ``` 2023-07-07T20:05:32.0228013Z Traceback (most recent call last): 2023-07-07T20:05:32.0228019Z 2023-07-07T20:05:32.0228379Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0228503Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0228510Z 2023-07-07T20:05:32.0228770Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0228865Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0228870Z 2023-07-07T20:05:32.0229186Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0229308Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0229314Z 2023-07-07T20:05:32.0229584Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0229722Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0229728Z 2023-07-07T20:05:32.0230002Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0230164Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0230170Z 2023-07-07T20:05:32.0230498Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0230575Z result = op.Conv( 2023-07-07T20:05:32.0230580Z 2023-07-07T20:05:32.0230863Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0230937Z return op( 2023-07-07T20:05:32.0230942Z 2023-07-07T20:05:32.0231198Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0231326Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0231331Z 2023-07-07T20:05:32.0231579Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0231708Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0231716Z 2023-07-07T20:05:32.0231975Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0232097Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0232103Z 2023-07-07T20:05:32.0232371Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0232547Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0232555Z 2023-07-07T20:05:32.0232809Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0232900Z node.attribute.extend( 2023-07-07T20:05:32.0232905Z 2023-07-07T20:05:32.0233156Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0233245Z make_attribute(key, value) 2023-07-07T20:05:32.0233252Z 2023-07-07T20:05:32.0233498Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0233577Z raise ValueError( 2023-07-07T20:05:32.0233582Z 2023-07-07T20:05:32.0233753Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0233758Z 2023-07-07T20:05:32.0233818Z ``` 2023-07-07T20:05:32.0233938Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0234245Z - diagnostic_context: 2023-07-07T20:05:32.0234462Z - node: fx.Node(convolution_53[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0234760Z - symbolic_fn: 2023-07-07T20:05:32.0234871Z - torch_args: 2023-07-07T20:05:32.0234993Z - torch_kwargs: 2023-07-07T20:05:32.0235156Z - Return value: 2023-07-07T20:05:32.0235456Z [2023-07-07 20:02:26,936] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_53]. 2023-07-07T20:05:32.0235612Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0235617Z 2023-07-07T20:05:32.0235812Z [2023-07-07 20:02:26,936] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0236017Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0236050Z 2023-07-07T20:05:32.0236265Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0236537Z - self: 2023-07-07T20:05:32.0236750Z - node: fx.Node(native_batch_norm_53[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0236862Z - aten_name: 2023-07-07T20:05:32.0236994Z - function_overloads: 2023-07-07T20:05:32.0237136Z - onnx_args: 2023-07-07T20:05:32.0237252Z - onnx_kwargs: 2023-07-07T20:05:32.0237558Z - diagnostic_context: 2023-07-07T20:05:32.0237770Z - Return value: 2023-07-07T20:05:32.0238051Z [2023-07-07 20:02:26,940] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_53]. 2023-07-07T20:05:32.0238203Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0238392Z [2023-07-07 20:02:26,940] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0238465Z ### Exception log 2023-07-07T20:05:32.0238524Z ``` 2023-07-07T20:05:32.0238619Z Traceback (most recent call last): 2023-07-07T20:05:32.0238624Z 2023-07-07T20:05:32.0238955Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0239053Z torch.testing.assert_close( 2023-07-07T20:05:32.0239058Z 2023-07-07T20:05:32.0239341Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0239421Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0239427Z 2023-07-07T20:05:32.0239583Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0239589Z 2023-07-07T20:05:32.0239684Z Mismatched elements: 2597 / 4704 (55.2%) 2023-07-07T20:05:32.0239825Z Greatest absolute difference: nan at index (0, 3, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0239966Z Greatest relative difference: nan at index (0, 3, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0239971Z 2023-07-07T20:05:32.0240031Z ``` 2023-07-07T20:05:32.0240152Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0240461Z - diagnostic_context: 2023-07-07T20:05:32.0240675Z - node: fx.Node(native_batch_norm_53[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0240887Z - symbolic_fn: 2023-07-07T20:05:32.0241003Z - torch_args: 2023-07-07T20:05:32.0241121Z - torch_kwargs: 2023-07-07T20:05:32.0241248Z - Return value: 2023-07-07T20:05:32.0241533Z [2023-07-07 20:02:26,943] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_54]. 2023-07-07T20:05:32.0241681Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0241686Z 2023-07-07T20:05:32.0241883Z [2023-07-07 20:02:26,943] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0242072Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0242089Z 2023-07-07T20:05:32.0242300Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0242572Z - self: 2023-07-07T20:05:32.0242785Z - node: fx.Node(convolution_54[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0242897Z - aten_name: 2023-07-07T20:05:32.0243029Z - function_overloads: 2023-07-07T20:05:32.0243146Z - onnx_args: 2023-07-07T20:05:32.0243261Z - onnx_kwargs: 2023-07-07T20:05:32.0243582Z - diagnostic_context: 2023-07-07T20:05:32.0243823Z - Return value: 2023-07-07T20:05:32.0244112Z [2023-07-07 20:02:26,949] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_54]. 2023-07-07T20:05:32.0244256Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0244616Z [2023-07-07 20:02:26,949] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0244765Z ### Exception log 2023-07-07T20:05:32.0244827Z ``` 2023-07-07T20:05:32.0244911Z Traceback (most recent call last): 2023-07-07T20:05:32.0244929Z 2023-07-07T20:05:32.0245251Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0245375Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0245380Z 2023-07-07T20:05:32.0245643Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0245739Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0245745Z 2023-07-07T20:05:32.0246060Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0246155Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0246163Z 2023-07-07T20:05:32.0246422Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0246561Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0246567Z 2023-07-07T20:05:32.0246842Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0246965Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0246984Z 2023-07-07T20:05:32.0247299Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0247377Z result = op.Conv( 2023-07-07T20:05:32.0247382Z 2023-07-07T20:05:32.0247666Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0247737Z return op( 2023-07-07T20:05:32.0247743Z 2023-07-07T20:05:32.0248001Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0248131Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0248136Z 2023-07-07T20:05:32.0248396Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0248527Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0248533Z 2023-07-07T20:05:32.0248794Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0248909Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0248929Z 2023-07-07T20:05:32.0249185Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0249360Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0249414Z 2023-07-07T20:05:32.0249669Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0249763Z node.attribute.extend( 2023-07-07T20:05:32.0249768Z 2023-07-07T20:05:32.0250018Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0250107Z make_attribute(key, value) 2023-07-07T20:05:32.0250113Z 2023-07-07T20:05:32.0250372Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0250516Z raise ValueError( 2023-07-07T20:05:32.0250522Z 2023-07-07T20:05:32.0250727Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0250733Z 2023-07-07T20:05:32.0250781Z ``` 2023-07-07T20:05:32.0250902Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0251210Z - diagnostic_context: 2023-07-07T20:05:32.0251423Z - node: fx.Node(convolution_54[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0251663Z - symbolic_fn: 2023-07-07T20:05:32.0251781Z - torch_args: 2023-07-07T20:05:32.0251899Z - torch_kwargs: 2023-07-07T20:05:32.0252013Z - Return value: 2023-07-07T20:05:32.0252311Z [2023-07-07 20:02:26,956] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_54]. 2023-07-07T20:05:32.0252463Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0252469Z 2023-07-07T20:05:32.0252663Z [2023-07-07 20:02:26,956] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0252868Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0252874Z 2023-07-07T20:05:32.0253059Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0253329Z - self: 2023-07-07T20:05:32.0253555Z - node: fx.Node(native_batch_norm_54[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0253668Z - aten_name: 2023-07-07T20:05:32.0253789Z - function_overloads: 2023-07-07T20:05:32.0253902Z - onnx_args: 2023-07-07T20:05:32.0254018Z - onnx_kwargs: 2023-07-07T20:05:32.0254323Z - diagnostic_context: 2023-07-07T20:05:32.0254536Z - Return value: 2023-07-07T20:05:32.0254832Z [2023-07-07 20:02:26,960] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_54]. 2023-07-07T20:05:32.0254981Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0255170Z [2023-07-07 20:02:26,961] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0255234Z ### Exception log 2023-07-07T20:05:32.0255296Z ``` 2023-07-07T20:05:32.0255389Z Traceback (most recent call last): 2023-07-07T20:05:32.0255394Z 2023-07-07T20:05:32.0255721Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0255816Z torch.testing.assert_close( 2023-07-07T20:05:32.0255821Z 2023-07-07T20:05:32.0256105Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0256200Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0256206Z 2023-07-07T20:05:32.0256361Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0256367Z 2023-07-07T20:05:32.0256463Z Mismatched elements: 2205 / 4704 (46.9%) 2023-07-07T20:05:32.0256617Z Greatest absolute difference: nan at index (0, 0, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0256758Z Greatest relative difference: nan at index (0, 0, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0256766Z 2023-07-07T20:05:32.0256828Z ``` 2023-07-07T20:05:32.0256951Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0257256Z - diagnostic_context: 2023-07-07T20:05:32.0257481Z - node: fx.Node(native_batch_norm_54[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0257689Z - symbolic_fn: 2023-07-07T20:05:32.0257820Z - torch_args: 2023-07-07T20:05:32.0257968Z - torch_kwargs: 2023-07-07T20:05:32.0258098Z - Return value: 2023-07-07T20:05:32.0258348Z [2023-07-07 20:02:26,973] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_15]. 2023-07-07T20:05:32.0258480Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0258488Z 2023-07-07T20:05:32.0258684Z [2023-07-07 20:02:26,973] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0258915Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0258920Z 2023-07-07T20:05:32.0259103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0259371Z - self: 2023-07-07T20:05:32.0259536Z - node: fx.Node(cat_15[call_function]'aten.cat.default') 2023-07-07T20:05:32.0259650Z - aten_name: 2023-07-07T20:05:32.0259784Z - function_overloads: 2023-07-07T20:05:32.0259900Z - onnx_args: 2023-07-07T20:05:32.0260019Z - onnx_kwargs: 2023-07-07T20:05:32.0260323Z - diagnostic_context: 2023-07-07T20:05:32.0260467Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.0260718Z [2023-07-07 20:02:26,980] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_15]. 2023-07-07T20:05:32.0260865Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0260870Z 2023-07-07T20:05:32.0261067Z [2023-07-07 20:02:26,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0261269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0261277Z 2023-07-07T20:05:32.0261462Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0261730Z - self: 2023-07-07T20:05:32.0261925Z - node: fx.Node(transpose_15[call_function]'aten.transpose.int') 2023-07-07T20:05:32.0262039Z - aten_name: 2023-07-07T20:05:32.0262172Z - function_overloads: 2023-07-07T20:05:32.0262274Z - onnx_args: 2023-07-07T20:05:32.0262392Z - onnx_kwargs: 2023-07-07T20:05:32.0262695Z - diagnostic_context: 2023-07-07T20:05:32.0262906Z - Return value: 2023-07-07T20:05:32.0263164Z [2023-07-07 20:02:26,983] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_15]. 2023-07-07T20:05:32.0263298Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0263306Z 2023-07-07T20:05:32.0263503Z [2023-07-07 20:02:26,983] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0263705Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0263711Z 2023-07-07T20:05:32.0263881Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0264177Z - self: 2023-07-07T20:05:32.0264367Z - node: fx.Node(clone_15[call_function]'aten.clone.default') 2023-07-07T20:05:32.0264479Z - aten_name: 2023-07-07T20:05:32.0264614Z - function_overloads: 2023-07-07T20:05:32.0264729Z - onnx_args: 2023-07-07T20:05:32.0264846Z - onnx_kwargs: 2023-07-07T20:05:32.0265148Z - diagnostic_context: 2023-07-07T20:05:32.0265309Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.0265624Z [2023-07-07 20:02:26,991] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_55]. 2023-07-07T20:05:32.0265771Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0265777Z 2023-07-07T20:05:32.0265974Z [2023-07-07 20:02:26,991] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0266178Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0266210Z 2023-07-07T20:05:32.0266394Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0266662Z - self: 2023-07-07T20:05:32.0266877Z - node: fx.Node(convolution_55[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0266990Z - aten_name: 2023-07-07T20:05:32.0267112Z - function_overloads: 2023-07-07T20:05:32.0267226Z - onnx_args: 2023-07-07T20:05:32.0267347Z - onnx_kwargs: 2023-07-07T20:05:32.0267649Z - diagnostic_context: 2023-07-07T20:05:32.0267860Z - Return value: 2023-07-07T20:05:32.0268145Z [2023-07-07 20:02:26,998] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_55]. 2023-07-07T20:05:32.0268290Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0268478Z [2023-07-07 20:02:26,999] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0268552Z ### Exception log 2023-07-07T20:05:32.0268614Z ``` 2023-07-07T20:05:32.0268709Z Traceback (most recent call last): 2023-07-07T20:05:32.0268714Z 2023-07-07T20:05:32.0269044Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0269170Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0269177Z 2023-07-07T20:05:32.0269437Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0269531Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0269537Z 2023-07-07T20:05:32.0269856Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0269941Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0269946Z 2023-07-07T20:05:32.0270204Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0270340Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0270346Z 2023-07-07T20:05:32.0270623Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0270761Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0270768Z 2023-07-07T20:05:32.0271095Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0271174Z result = op.Conv( 2023-07-07T20:05:32.0271179Z 2023-07-07T20:05:32.0271496Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0271571Z return op( 2023-07-07T20:05:32.0271577Z 2023-07-07T20:05:32.0271833Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0271950Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0271955Z 2023-07-07T20:05:32.0272213Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0272372Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0272377Z 2023-07-07T20:05:32.0272675Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0272802Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0272808Z 2023-07-07T20:05:32.0273076Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0273278Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0273284Z 2023-07-07T20:05:32.0273536Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0273627Z node.attribute.extend( 2023-07-07T20:05:32.0273632Z 2023-07-07T20:05:32.0273871Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0273961Z make_attribute(key, value) 2023-07-07T20:05:32.0273966Z 2023-07-07T20:05:32.0274225Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0274304Z raise ValueError( 2023-07-07T20:05:32.0274310Z 2023-07-07T20:05:32.0274484Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0274489Z 2023-07-07T20:05:32.0274551Z ``` 2023-07-07T20:05:32.0274765Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0275078Z - diagnostic_context: 2023-07-07T20:05:32.0275294Z - node: fx.Node(convolution_55[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0275491Z - symbolic_fn: 2023-07-07T20:05:32.0275609Z - torch_args: 2023-07-07T20:05:32.0275729Z - torch_kwargs: 2023-07-07T20:05:32.0275860Z - Return value: 2023-07-07T20:05:32.0276162Z [2023-07-07 20:02:27,005] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_55]. 2023-07-07T20:05:32.0276313Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0276319Z 2023-07-07T20:05:32.0276516Z [2023-07-07 20:02:27,005] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0276721Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0276729Z 2023-07-07T20:05:32.0276900Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0277173Z - self: 2023-07-07T20:05:32.0277398Z - node: fx.Node(native_batch_norm_55[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0277511Z - aten_name: 2023-07-07T20:05:32.0277645Z - function_overloads: 2023-07-07T20:05:32.0277760Z - onnx_args: 2023-07-07T20:05:32.0277877Z - onnx_kwargs: 2023-07-07T20:05:32.0278179Z - diagnostic_context: 2023-07-07T20:05:32.0278378Z - Return value: 2023-07-07T20:05:32.0278707Z [2023-07-07 20:02:27,012] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_55]. 2023-07-07T20:05:32.0278858Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0279044Z [2023-07-07 20:02:27,012] torch.onnx: [WARNING] ### Validation failed 2023-07-07T20:05:32.0279119Z ### Exception log 2023-07-07T20:05:32.0279178Z ``` 2023-07-07T20:05:32.0279274Z Traceback (most recent call last): 2023-07-07T20:05:32.0279280Z 2023-07-07T20:05:32.0279611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 169, in validate_op_between_ort_torch 2023-07-07T20:05:32.0279723Z torch.testing.assert_close( 2023-07-07T20:05:32.0279753Z 2023-07-07T20:05:32.0280040Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_comparison.py", line 1511, in assert_close 2023-07-07T20:05:32.0280133Z raise error_metas[0].to_error(msg) 2023-07-07T20:05:32.0280138Z 2023-07-07T20:05:32.0280298Z AssertionError: Tensor-likes are not close! 2023-07-07T20:05:32.0280304Z 2023-07-07T20:05:32.0280426Z Mismatched elements: 24745 / 50176 (49.3%) 2023-07-07T20:05:32.0280564Z Greatest absolute difference: nan at index (0, 2, 0, 0) (up to 0.001 allowed) 2023-07-07T20:05:32.0280703Z Greatest relative difference: nan at index (0, 2, 0, 0) (up to 0.0001 allowed) 2023-07-07T20:05:32.0280709Z 2023-07-07T20:05:32.0280768Z ``` 2023-07-07T20:05:32.0280890Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0281184Z - diagnostic_context: 2023-07-07T20:05:32.0281409Z - node: fx.Node(native_batch_norm_55[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.0281620Z - symbolic_fn: 2023-07-07T20:05:32.0281738Z - torch_args: 2023-07-07T20:05:32.0281857Z - torch_kwargs: 2023-07-07T20:05:32.0281984Z - Return value: 2023-07-07T20:05:32.0282398Z 2023-07-07 20:02:27.318365198 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1377'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0282809Z 2023-07-07 20:02:27.318394388 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1347'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0283204Z 2023-07-07 20:02:27.318401598 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1328'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0283614Z 2023-07-07 20:02:27.318407597 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1306'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0284016Z 2023-07-07 20:02:27.318414480 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1270'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0284512Z 2023-07-07 20:02:27.318421390 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1193'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0284914Z 2023-07-07 20:02:27.318427530 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1174'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0285312Z 2023-07-07 20:02:27.318434277 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1116'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0285717Z 2023-07-07 20:02:27.318439860 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1097'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0286165Z 2023-07-07 20:02:27.318446144 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1053'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0286574Z 2023-07-07 20:02:27.318457349 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '383'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0286969Z 2023-07-07 20:02:27.318469041 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1251'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0287435Z 2023-07-07 20:02:27.318475205 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '276'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0287835Z 2023-07-07 20:02:27.318487097 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '542'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0288228Z 2023-07-07 20:02:27.318500260 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '199'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0288658Z 2023-07-07 20:02:27.318506702 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '501'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0289053Z 2023-07-07 20:02:27.318514857 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1229'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0289446Z 2023-07-07 20:02:27.318522309 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '59'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0289847Z 2023-07-07 20:02:27.318527808 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1152'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0290239Z 2023-07-07 20:02:27.318533177 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '122'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0290632Z 2023-07-07 20:02:27.318539728 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '600'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0291017Z 2023-07-07 20:02:27.318549527 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '523'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0291411Z 2023-07-07 20:02:27.318570969 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '809'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0291802Z 2023-07-07 20:02:27.318580393 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '696'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0292189Z 2023-07-07 20:02:27.318586359 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '424'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0292574Z 2023-07-07 20:02:27.318592122 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '235'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0292964Z 2023-07-07 20:02:27.318603901 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '773'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0293351Z 2023-07-07 20:02:27.318611721 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '446'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0293781Z 2023-07-07 20:02:27.318620104 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1004'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0294185Z 2023-07-07 20:02:27.318630452 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '16'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0294580Z 2023-07-07 20:02:27.318636186 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '40'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0295018Z 2023-07-07 20:02:27.318644055 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '81'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0295417Z 2023-07-07 20:02:27.318650228 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '103'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0295813Z 2023-07-07 20:02:27.318658880 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '158'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0296229Z 2023-07-07 20:02:27.318664752 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '578'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0296621Z 2023-07-07 20:02:27.318669887 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '180'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0297014Z 2023-07-07 20:02:27.318677203 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '850'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0297406Z 2023-07-07 20:02:27.318684262 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '257'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0297796Z 2023-07-07 20:02:27.318689663 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '312'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0298183Z 2023-07-07 20:02:27.318694918 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '619'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0298583Z 2023-07-07 20:02:27.318702976 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1075'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0298976Z 2023-07-07 20:02:27.318709585 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '402'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0299371Z 2023-07-07 20:02:27.318715503 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '831'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0299762Z 2023-07-07 20:02:27.318720507 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '465'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0300152Z 2023-07-07 20:02:27.318731949 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '908'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0300545Z 2023-07-07 20:02:27.318738788 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '353'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0300959Z 2023-07-07 20:02:27.318744385 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '655'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0301350Z 2023-07-07 20:02:27.318751789 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '334'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0301739Z 2023-07-07 20:02:27.318757079 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '732'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0302122Z 2023-07-07 20:02:27.318763371 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '754'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0302570Z 2023-07-07 20:02:27.318771154 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '886'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0302960Z 2023-07-07 20:02:27.318778143 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '927'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0303371Z 2023-07-07 20:02:27.318786014 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '677'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0303755Z 2023-07-07 20:02:27.318791278 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '963'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0304142Z 2023-07-07 20:02:27.318797192 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '985'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0304540Z 2023-07-07 20:02:27.318802502 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1034'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.0304619Z XFAIL [17.2354s] [ 43%] 2023-07-07T20:05:32.0304893Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_sigmoid_add PASSED [0.0808s] [ 44%] 2023-07-07T20:05:32.0305154Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_simple_function PASSED [0.0568s] [ 45%] 2023-07-07T20:05:32.0305628Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_slice [2023-07-07 20:02:34,936] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.0305767Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0305777Z 2023-07-07T20:05:32.0305974Z [2023-07-07 20:02:34,936] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0306177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0306186Z 2023-07-07T20:05:32.0306371Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0306641Z - self: 2023-07-07T20:05:32.0306824Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0306937Z - aten_name: 2023-07-07T20:05:32.0307073Z - function_overloads: 2023-07-07T20:05:32.0307176Z - onnx_args: 2023-07-07T20:05:32.0307291Z - onnx_kwargs: 2023-07-07T20:05:32.0307595Z - diagnostic_context: 2023-07-07T20:05:32.0307808Z - Return value: 2023-07-07T20:05:32.0308064Z [2023-07-07 20:02:34,942] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.0308197Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0308255Z 2023-07-07T20:05:32.0308455Z [2023-07-07 20:02:34,942] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0308660Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0308666Z 2023-07-07T20:05:32.0308837Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0309103Z - self: 2023-07-07T20:05:32.0309313Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0309425Z - aten_name: 2023-07-07T20:05:32.0309584Z - function_overloads: 2023-07-07T20:05:32.0309701Z - onnx_args: 2023-07-07T20:05:32.0309818Z - onnx_kwargs: 2023-07-07T20:05:32.0310125Z - diagnostic_context: 2023-07-07T20:05:32.0310325Z - Return value: 2023-07-07T20:05:32.0310605Z [2023-07-07 20:02:34,953] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.0310738Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0310744Z 2023-07-07T20:05:32.0310941Z [2023-07-07 20:02:34,953] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0311143Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0311150Z 2023-07-07T20:05:32.0311335Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0311602Z - self: 2023-07-07T20:05:32.0311780Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0311892Z - aten_name: 2023-07-07T20:05:32.0312013Z - function_overloads: 2023-07-07T20:05:32.0312127Z - onnx_args: 2023-07-07T20:05:32.0312245Z - onnx_kwargs: 2023-07-07T20:05:32.0312548Z - diagnostic_context: 2023-07-07T20:05:32.0312758Z - Return value: 2023-07-07T20:05:32.0313010Z [2023-07-07 20:02:34,962] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.0313144Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0313153Z 2023-07-07T20:05:32.0313336Z [2023-07-07 20:02:34,962] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0313541Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0313547Z 2023-07-07T20:05:32.0313728Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0313994Z - self: 2023-07-07T20:05:32.0314175Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0314286Z - aten_name: 2023-07-07T20:05:32.0314419Z - function_overloads: 2023-07-07T20:05:32.0314532Z - onnx_args: 2023-07-07T20:05:32.0314731Z - onnx_kwargs: 2023-07-07T20:05:32.0315046Z - diagnostic_context: 2023-07-07T20:05:32.0315258Z - Return value: 2023-07-07T20:05:32.0315513Z [2023-07-07 20:02:34,970] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.0315648Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0315654Z 2023-07-07T20:05:32.0315851Z [2023-07-07 20:02:34,970] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0316090Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0316099Z 2023-07-07T20:05:32.0316281Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0316549Z - self: 2023-07-07T20:05:32.0316716Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0316829Z - aten_name: 2023-07-07T20:05:32.0316993Z - function_overloads: 2023-07-07T20:05:32.0317107Z - onnx_args: 2023-07-07T20:05:32.0317248Z - onnx_kwargs: 2023-07-07T20:05:32.0317555Z - diagnostic_context: 2023-07-07T20:05:32.0317764Z - Return value: 2023-07-07T20:05:32.0318007Z [2023-07-07 20:02:34,979] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:32.0318172Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0318177Z 2023-07-07T20:05:32.0318373Z [2023-07-07 20:02:34,979] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0318576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0318582Z 2023-07-07T20:05:32.0318763Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0319030Z - self: 2023-07-07T20:05:32.0319212Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0319324Z - aten_name: 2023-07-07T20:05:32.0319454Z - function_overloads: 2023-07-07T20:05:32.0319556Z - onnx_args: 2023-07-07T20:05:32.0319671Z - onnx_kwargs: 2023-07-07T20:05:32.0319975Z - diagnostic_context: 2023-07-07T20:05:32.0320184Z - Return value: 2023-07-07T20:05:32.0320435Z [2023-07-07 20:02:34,986] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:32.0320568Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0320574Z 2023-07-07T20:05:32.0320770Z [2023-07-07 20:02:34,986] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0320974Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0320982Z 2023-07-07T20:05:32.0321151Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0321417Z - self: 2023-07-07T20:05:32.0321599Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0321714Z - aten_name: 2023-07-07T20:05:32.0321845Z - function_overloads: 2023-07-07T20:05:32.0321959Z - onnx_args: 2023-07-07T20:05:32.0322076Z - onnx_kwargs: 2023-07-07T20:05:32.0322379Z - diagnostic_context: 2023-07-07T20:05:32.0322577Z - Return value: 2023-07-07T20:05:32.0322829Z [2023-07-07 20:02:35,003] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:32.0322968Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0322974Z 2023-07-07T20:05:32.0323168Z [2023-07-07 20:02:35,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0323369Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0323407Z 2023-07-07T20:05:32.0323592Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0323859Z - self: 2023-07-07T20:05:32.0324039Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0324150Z - aten_name: 2023-07-07T20:05:32.0324270Z - function_overloads: 2023-07-07T20:05:32.0324519Z - onnx_args: 2023-07-07T20:05:32.0324680Z - onnx_kwargs: 2023-07-07T20:05:32.0325046Z - diagnostic_context: 2023-07-07T20:05:32.0325299Z - Return value: 2023-07-07T20:05:32.0325556Z [2023-07-07 20:02:35,011] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:32.0325691Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0325699Z 2023-07-07T20:05:32.0325882Z [2023-07-07 20:02:35,011] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0326119Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0326124Z 2023-07-07T20:05:32.0326308Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0326575Z - self: 2023-07-07T20:05:32.0326757Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0326870Z - aten_name: 2023-07-07T20:05:32.0327005Z - function_overloads: 2023-07-07T20:05:32.0327120Z - onnx_args: 2023-07-07T20:05:32.0327224Z - onnx_kwargs: 2023-07-07T20:05:32.0327528Z - diagnostic_context: 2023-07-07T20:05:32.0327739Z - Return value: 2023-07-07T20:05:32.0327997Z [2023-07-07 20:02:35,028] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:32.0328132Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0328137Z 2023-07-07T20:05:32.0328333Z [2023-07-07 20:02:35,028] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0328534Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0328543Z 2023-07-07T20:05:32.0328730Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0328998Z - self: 2023-07-07T20:05:32.0329168Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0329283Z - aten_name: 2023-07-07T20:05:32.0329417Z - function_overloads: 2023-07-07T20:05:32.0329533Z - onnx_args: 2023-07-07T20:05:32.0329652Z - onnx_kwargs: 2023-07-07T20:05:32.0329955Z - diagnostic_context: 2023-07-07T20:05:32.0330166Z - Return value: 2023-07-07T20:05:32.0330233Z PASSED [0.2296s] [ 46%] 2023-07-07T20:05:32.0330494Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_squeeze_runtime_dim XFAIL [0.0184s] [ 47%] 2023-07-07T20:05:32.0331036Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_transpose_infer_shape [2023-07-07 20:02:35,156] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.0331181Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0331187Z 2023-07-07T20:05:32.0331420Z [2023-07-07 20:02:35,156] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0331626Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0331632Z 2023-07-07T20:05:32.0331817Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0332087Z - self: 2023-07-07T20:05:32.0332296Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0332439Z - aten_name: 2023-07-07T20:05:32.0332585Z - function_overloads: 2023-07-07T20:05:32.0332701Z - onnx_args: 2023-07-07T20:05:32.0332819Z - onnx_kwargs: 2023-07-07T20:05:32.0333123Z - diagnostic_context: 2023-07-07T20:05:32.0333337Z - Return value: 2023-07-07T20:05:32.0333624Z [2023-07-07 20:02:35,164] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.0333797Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0334001Z [2023-07-07 20:02:35,164] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:32.0334063Z ### Exception log 2023-07-07T20:05:32.0334124Z ``` 2023-07-07T20:05:32.0334221Z Traceback (most recent call last): 2023-07-07T20:05:32.0334226Z 2023-07-07T20:05:32.0334565Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:32.0334688Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:32.0334694Z 2023-07-07T20:05:32.0334954Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:32.0335052Z return self.func(*args, **kwargs) 2023-07-07T20:05:32.0335058Z 2023-07-07T20:05:32.0335376Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:32.0335458Z result = _aten_convolution_onnx( 2023-07-07T20:05:32.0335477Z 2023-07-07T20:05:32.0335721Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:32.0335858Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:32.0335866Z 2023-07-07T20:05:32.0336140Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:32.0336276Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:32.0336281Z 2023-07-07T20:05:32.0336608Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:32.0336687Z result = op.Conv( 2023-07-07T20:05:32.0336693Z 2023-07-07T20:05:32.0336981Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:32.0337053Z return op( 2023-07-07T20:05:32.0337059Z 2023-07-07T20:05:32.0337316Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:32.0337432Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:32.0337450Z 2023-07-07T20:05:32.0337700Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:32.0337831Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0337837Z 2023-07-07T20:05:32.0338096Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:32.0338222Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:32.0338259Z 2023-07-07T20:05:32.0338529Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:32.0338707Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:32.0338713Z 2023-07-07T20:05:32.0338964Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:32.0339055Z node.attribute.extend( 2023-07-07T20:05:32.0339061Z 2023-07-07T20:05:32.0339311Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:32.0339416Z make_attribute(key, value) 2023-07-07T20:05:32.0339447Z 2023-07-07T20:05:32.0339711Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:32.0339788Z raise ValueError( 2023-07-07T20:05:32.0339794Z 2023-07-07T20:05:32.0339968Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:32.0340002Z 2023-07-07T20:05:32.0340065Z ``` 2023-07-07T20:05:32.0340186Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:32.0340492Z - diagnostic_context: 2023-07-07T20:05:32.0340705Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0340913Z - symbolic_fn: 2023-07-07T20:05:32.0341017Z - torch_args: 2023-07-07T20:05:32.0341138Z - torch_kwargs: 2023-07-07T20:05:32.0341265Z - Return value: 2023-07-07T20:05:32.0341531Z [2023-07-07 20:02:35,165] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.0341674Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0341680Z 2023-07-07T20:05:32.0341881Z [2023-07-07 20:02:35,165] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0342083Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0342091Z 2023-07-07T20:05:32.0342274Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0342532Z - self: 2023-07-07T20:05:32.0342723Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.0342837Z - aten_name: 2023-07-07T20:05:32.0342968Z - function_overloads: 2023-07-07T20:05:32.0343084Z - onnx_args: 2023-07-07T20:05:32.0343199Z - onnx_kwargs: 2023-07-07T20:05:32.0343502Z - diagnostic_context: 2023-07-07T20:05:32.0343700Z - Return value: 2023-07-07T20:05:32.0343782Z PASSED [0.0983s] [ 48%] 2023-07-07T20:05:32.0344044Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_view_dynamic_zero_dim PASSED [0.0711s] [ 49%] 2023-07-07T20:05:32.0344312Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_True_dynamic_shapes_False::test_xfail_func_with_non_tensor_args XFAIL [0.1052s] [ 50%] 2023-07-07T20:05:32.0344553Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_add PASSED [0.1295s] [ 50%] 2023-07-07T20:05:32.0345031Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_arange [2023-07-07 20:02:35,614] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0345169Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0345175Z 2023-07-07T20:05:32.0345405Z [2023-07-07 20:02:35,614] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0345608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0345614Z 2023-07-07T20:05:32.0345797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0346063Z - self: 2023-07-07T20:05:32.0346221Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0346364Z - aten_name: 2023-07-07T20:05:32.0346497Z - function_overloads: 2023-07-07T20:05:32.0346637Z - onnx_args: 2023-07-07T20:05:32.0346755Z - onnx_kwargs: 2023-07-07T20:05:32.0347059Z - diagnostic_context: 2023-07-07T20:05:32.0347212Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0347463Z [2023-07-07 20:02:35,615] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange]. 2023-07-07T20:05:32.0347628Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0347634Z 2023-07-07T20:05:32.0347831Z [2023-07-07 20:02:35,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0348033Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0348038Z 2023-07-07T20:05:32.0348222Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0348493Z - self: 2023-07-07T20:05:32.0348679Z - node: fx.Node(arange[call_function]'aten.arange.default') 2023-07-07T20:05:32.0348792Z - aten_name: 2023-07-07T20:05:32.0348910Z - function_overloads: 2023-07-07T20:05:32.0349024Z - onnx_args: 2023-07-07T20:05:32.0349141Z - onnx_kwargs: 2023-07-07T20:05:32.0349446Z - diagnostic_context: 2023-07-07T20:05:32.0349656Z - Return value: 2023-07-07T20:05:32.0349916Z [2023-07-07 20:02:35,617] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange_1]. 2023-07-07T20:05:32.0350052Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0350058Z 2023-07-07T20:05:32.0350256Z [2023-07-07 20:02:35,617] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0350449Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0350467Z 2023-07-07T20:05:32.0350637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0350908Z - self: 2023-07-07T20:05:32.0351095Z - node: fx.Node(arange_1[call_function]'aten.arange.default') 2023-07-07T20:05:32.0351210Z - aten_name: 2023-07-07T20:05:32.0351339Z - function_overloads: 2023-07-07T20:05:32.0351454Z - onnx_args: 2023-07-07T20:05:32.0351569Z - onnx_kwargs: 2023-07-07T20:05:32.0351861Z - diagnostic_context: 2023-07-07T20:05:32.0352071Z - Return value: 2023-07-07T20:05:32.0352320Z [2023-07-07 20:02:35,619] torch.onnx: [WARNING] FX Node: call_function:[name=add]. 2023-07-07T20:05:32.0358991Z ONNX Node: aten_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0359007Z 2023-07-07T20:05:32.0359266Z [2023-07-07 20:02:35,619] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0359588Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0359599Z 2023-07-07T20:05:32.0359788Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0360066Z - self: 2023-07-07T20:05:32.0360255Z - node: fx.Node(add[call_function]'') 2023-07-07T20:05:32.0360369Z - aten_name: 2023-07-07T20:05:32.0360489Z - function_overloads: 2023-07-07T20:05:32.0360638Z - onnx_args: 2023-07-07T20:05:32.0360754Z - onnx_kwargs: 2023-07-07T20:05:32.0361091Z - diagnostic_context: 2023-07-07T20:05:32.0361236Z - Return value: `OnnxFunction(aten_add)` 2023-07-07T20:05:32.0361491Z [2023-07-07 20:02:35,621] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start[name=arange_2]. 2023-07-07T20:05:32.0361639Z ONNX Node: aten_arange_start[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0361676Z 2023-07-07T20:05:32.0361876Z [2023-07-07 20:02:35,621] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0362068Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0362086Z 2023-07-07T20:05:32.0362259Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0362533Z - self: 2023-07-07T20:05:32.0362722Z - node: fx.Node(arange_2[call_function]'aten.arange.start') 2023-07-07T20:05:32.0362838Z - aten_name: 2023-07-07T20:05:32.0362975Z - function_overloads: 2023-07-07T20:05:32.0363090Z - onnx_args: 2023-07-07T20:05:32.0363207Z - onnx_kwargs: 2023-07-07T20:05:32.0363501Z - diagnostic_context: 2023-07-07T20:05:32.0363710Z - Return value: 2023-07-07T20:05:32.0364067Z 2023-07-07 20:02:35.625291879 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0364626Z 2023-07-07 20:02:35.625318040 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0364999Z 2023-07-07 20:02:35.625590980 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0365350Z 2023-07-07 20:02:35.625603187 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0365699Z 2023-07-07 20:02:35.625852490 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0366044Z 2023-07-07 20:02:35.625863915 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0366386Z 2023-07-07 20:02:35.626110393 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0366725Z 2023-07-07 20:02:35.626121754 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0367071Z 2023-07-07 20:02:35.626369428 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0367470Z 2023-07-07 20:02:35.626380792 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0367802Z 2023-07-07 20:02:35.626625729 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0368145Z 2023-07-07 20:02:35.626637012 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0368485Z 2023-07-07 20:02:35.626881924 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0368894Z 2023-07-07 20:02:35.626893254 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0369239Z 2023-07-07 20:02:35.627135713 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0369581Z 2023-07-07 20:02:35.627146968 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0369981Z 2023-07-07 20:02:35.627400476 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0370321Z 2023-07-07 20:02:35.627411667 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0370665Z 2023-07-07 20:02:35.627668719 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0371002Z 2023-07-07 20:02:35.627680409 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0371343Z 2023-07-07 20:02:35.633472388 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0371682Z 2023-07-07 20:02:35.633496095 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0372008Z 2023-07-07 20:02:35.633768829 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0372347Z 2023-07-07 20:02:35.633781052 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0372687Z 2023-07-07 20:02:35.634030984 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0373028Z 2023-07-07 20:02:35.634042353 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0373368Z 2023-07-07 20:02:35.634292122 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0373707Z 2023-07-07 20:02:35.634303603 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0374047Z 2023-07-07 20:02:35.634551231 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0374385Z 2023-07-07 20:02:35.634562390 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0374760Z 2023-07-07 20:02:35.634809464 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0375098Z 2023-07-07 20:02:35.634820722 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0375438Z 2023-07-07 20:02:35.635065545 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0375773Z 2023-07-07 20:02:35.635076793 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0376160Z 2023-07-07 20:02:35.635322766 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0376500Z 2023-07-07 20:02:35.635333901 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0376996Z 2023-07-07 20:02:35.635587795 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0377379Z 2023-07-07 20:02:35.635599252 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0377719Z 2023-07-07 20:02:35.635845543 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_11' 2023-07-07T20:05:32.0378061Z 2023-07-07 20:02:35.635856601 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_8' 2023-07-07T20:05:32.0378143Z PASSED [0.1444s] [ 51%] 2023-07-07T20:05:32.0378654Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_expand_as_fill_seperate_tensor [2023-07-07 20:02:35,715] torch.onnx: [ERROR] Running Functionalize pass. Raised from: 2023-07-07T20:05:32.0378981Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:32.0379195Z [2023-07-07 20:02:35,715] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T20:05:32.0379468Z - self: 2023-07-07T20:05:32.0379579Z - args: 2023-07-07T20:05:32.0379642Z ### Exception log 2023-07-07T20:05:32.0379702Z ``` 2023-07-07T20:05:32.0379801Z Traceback (most recent call last): 2023-07-07T20:05:32.0379810Z 2023-07-07T20:05:32.0380126Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:32.0380223Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:32.0380229Z 2023-07-07T20:05:32.0380502Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T20:05:32.0380594Z module = self._run(*args, **kwargs) 2023-07-07T20:05:32.0380600Z 2023-07-07T20:05:32.0380852Z File "<@beartype(torch.onnx._internal.fx.passes.functionalization.Functionalize._run) at 0x7f6710265670>", line 10, in _run 2023-07-07T20:05:32.0380858Z 2023-07-07T20:05:32.0381170Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 105, in _run 2023-07-07T20:05:32.0381264Z graph_module = proxy_tensor.make_fx( 2023-07-07T20:05:32.0381271Z 2023-07-07T20:05:32.0381563Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T20:05:32.0381759Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T20:05:32.0381814Z 2023-07-07T20:05:32.0382065Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T20:05:32.0382202Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T20:05:32.0382208Z 2023-07-07T20:05:32.0382467Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:32.0382551Z return fn(*args, **kwargs) 2023-07-07T20:05:32.0382557Z 2023-07-07T20:05:32.0382827Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:32.0382940Z return fn(*args, **kwargs) 2023-07-07T20:05:32.0382981Z 2023-07-07T20:05:32.0383284Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T20:05:32.0383382Z graph = tracer.trace(root, concrete_args) 2023-07-07T20:05:32.0383388Z 2023-07-07T20:05:32.0383650Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:32.0383760Z return fn(*args, **kwargs) 2023-07-07T20:05:32.0383765Z 2023-07-07T20:05:32.0384035Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:32.0384118Z return fn(*args, **kwargs) 2023-07-07T20:05:32.0384123Z 2023-07-07T20:05:32.0384384Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T20:05:32.0384477Z (self.create_arg(fn(*args)),), 2023-07-07T20:05:32.0384483Z 2023-07-07T20:05:32.0384769Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T20:05:32.0384844Z out = f(*tensors) 2023-07-07T20:05:32.0384849Z 2023-07-07T20:05:32.0384928Z File "", line 1, in 2023-07-07T20:05:32.0384946Z 2023-07-07T20:05:32.0385247Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 91, in wrapped 2023-07-07T20:05:32.0385348Z pytree.tree_map(torch._sync, out) 2023-07-07T20:05:32.0385353Z 2023-07-07T20:05:32.0385611Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T20:05:32.0385737Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:32.0385743Z 2023-07-07T20:05:32.0386007Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T20:05:32.0386131Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:32.0386139Z 2023-07-07T20:05:32.0386467Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:32.0386473Z 2023-07-07T20:05:32.0386535Z ``` 2023-07-07T20:05:32.0386613Z XFAIL [0.0814s] [ 52%] 2023-07-07T20:05:32.0387114Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_expand_as_fill_tensor [2023-07-07 20:02:36,003] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.0387249Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0387255Z 2023-07-07T20:05:32.0387452Z [2023-07-07 20:02:36,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0387659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0387667Z 2023-07-07T20:05:32.0387851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0388122Z - self: 2023-07-07T20:05:32.0388338Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0388454Z - aten_name: 2023-07-07T20:05:32.0388588Z - function_overloads: 2023-07-07T20:05:32.0388692Z - onnx_args: 2023-07-07T20:05:32.0388808Z - onnx_kwargs: 2023-07-07T20:05:32.0389115Z - diagnostic_context: 2023-07-07T20:05:32.0389327Z - Return value: 2023-07-07T20:05:32.0389569Z [2023-07-07 20:02:36,006] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0389736Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0389768Z 2023-07-07T20:05:32.0389967Z [2023-07-07 20:02:36,006] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0390171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0390179Z 2023-07-07T20:05:32.0390363Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0390649Z - self: 2023-07-07T20:05:32.0390818Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0390931Z - aten_name: 2023-07-07T20:05:32.0391063Z - function_overloads: 2023-07-07T20:05:32.0391177Z - onnx_args: 2023-07-07T20:05:32.0391292Z - onnx_kwargs: 2023-07-07T20:05:32.0391600Z - diagnostic_context: 2023-07-07T20:05:32.0391743Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0391994Z [2023-07-07 20:02:36,007] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.0392129Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0392135Z 2023-07-07T20:05:32.0392331Z [2023-07-07 20:02:36,007] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0392535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0392541Z 2023-07-07T20:05:32.0392723Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0392991Z - self: 2023-07-07T20:05:32.0393171Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0393283Z - aten_name: 2023-07-07T20:05:32.0393404Z - function_overloads: 2023-07-07T20:05:32.0393524Z - onnx_args: 2023-07-07T20:05:32.0393642Z - onnx_kwargs: 2023-07-07T20:05:32.0393943Z - diagnostic_context: 2023-07-07T20:05:32.0394157Z - Return value: 2023-07-07T20:05:32.0394403Z [2023-07-07 20:02:36,011] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:32.0394531Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0394537Z 2023-07-07T20:05:32.0394814Z [2023-07-07 20:02:36,011] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0395016Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0395025Z 2023-07-07T20:05:32.0395208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0395481Z - self: 2023-07-07T20:05:32.0395657Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:32.0395770Z - aten_name: 2023-07-07T20:05:32.0395903Z - function_overloads: 2023-07-07T20:05:32.0396039Z - onnx_args: 2023-07-07T20:05:32.0396161Z - onnx_kwargs: 2023-07-07T20:05:32.0396465Z - diagnostic_context: 2023-07-07T20:05:32.0396618Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0396862Z [2023-07-07 20:02:36,012] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:32.0397000Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0397035Z 2023-07-07T20:05:32.0397234Z [2023-07-07 20:02:36,012] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0397463Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0397469Z 2023-07-07T20:05:32.0397656Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0397912Z - self: 2023-07-07T20:05:32.0398117Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:32.0398230Z - aten_name: 2023-07-07T20:05:32.0398361Z - function_overloads: 2023-07-07T20:05:32.0398476Z - onnx_args: 2023-07-07T20:05:32.0398592Z - onnx_kwargs: 2023-07-07T20:05:32.0398894Z - diagnostic_context: 2023-07-07T20:05:32.0399034Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0399281Z [2023-07-07 20:02:36,013] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:32.0399419Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0399425Z 2023-07-07T20:05:32.0399622Z [2023-07-07 20:02:36,013] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0399829Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0399836Z 2023-07-07T20:05:32.0400019Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0400287Z - self: 2023-07-07T20:05:32.0400461Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:32.0400575Z - aten_name: 2023-07-07T20:05:32.0400693Z - function_overloads: 2023-07-07T20:05:32.0400810Z - onnx_args: 2023-07-07T20:05:32.0400927Z - onnx_kwargs: 2023-07-07T20:05:32.0401229Z - diagnostic_context: 2023-07-07T20:05:32.0401382Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0401634Z [2023-07-07 20:02:36,017] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.0401771Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0401778Z 2023-07-07T20:05:32.0401975Z [2023-07-07 20:02:36,017] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0402163Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0402169Z 2023-07-07T20:05:32.0402351Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0402618Z - self: 2023-07-07T20:05:32.0402803Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0402919Z - aten_name: 2023-07-07T20:05:32.0403050Z - function_overloads: 2023-07-07T20:05:32.0403165Z - onnx_args: 2023-07-07T20:05:32.0403280Z - onnx_kwargs: 2023-07-07T20:05:32.0403596Z - diagnostic_context: 2023-07-07T20:05:32.0403812Z - Return value: 2023-07-07T20:05:32.0404090Z [2023-07-07 20:02:36,020] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:32.0404236Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0404241Z 2023-07-07T20:05:32.0404580Z [2023-07-07 20:02:36,020] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0404800Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0404859Z 2023-07-07T20:05:32.0405078Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0405358Z - self: 2023-07-07T20:05:32.0405569Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.0405670Z - aten_name: 2023-07-07T20:05:32.0405838Z - function_overloads: 2023-07-07T20:05:32.0405954Z - onnx_args: 2023-07-07T20:05:32.0406071Z - onnx_kwargs: 2023-07-07T20:05:32.0406377Z - diagnostic_context: 2023-07-07T20:05:32.0406588Z - Return value: 2023-07-07T20:05:32.0406871Z [2023-07-07 20:02:36,022] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter_1]. 2023-07-07T20:05:32.0407008Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0407029Z 2023-07-07T20:05:32.0407213Z [2023-07-07 20:02:36,022] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0407413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0407419Z 2023-07-07T20:05:32.0407604Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0407874Z - self: 2023-07-07T20:05:32.0408083Z - node: fx.Node(slice_scatter_1[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.0408196Z - aten_name: 2023-07-07T20:05:32.0408328Z - function_overloads: 2023-07-07T20:05:32.0408443Z - onnx_args: 2023-07-07T20:05:32.0408548Z - onnx_kwargs: 2023-07-07T20:05:32.0408853Z - diagnostic_context: 2023-07-07T20:05:32.0409065Z - Return value: 2023-07-07T20:05:32.0409318Z [2023-07-07 20:02:36,023] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.0409452Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0409461Z 2023-07-07T20:05:32.0409656Z [2023-07-07 20:02:36,024] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0409861Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0409867Z 2023-07-07T20:05:32.0410047Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0410301Z - self: 2023-07-07T20:05:32.0410483Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0410595Z - aten_name: 2023-07-07T20:05:32.0410728Z - function_overloads: 2023-07-07T20:05:32.0410843Z - onnx_args: 2023-07-07T20:05:32.0410958Z - onnx_kwargs: 2023-07-07T20:05:32.0411262Z - diagnostic_context: 2023-07-07T20:05:32.0411520Z - Return value: 2023-07-07T20:05:32.0411765Z [2023-07-07 20:02:36,026] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.0411900Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0411906Z 2023-07-07T20:05:32.0412103Z [2023-07-07 20:02:36,026] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0412306Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0412339Z 2023-07-07T20:05:32.0412551Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0412821Z - self: 2023-07-07T20:05:32.0413001Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0413113Z - aten_name: 2023-07-07T20:05:32.0413234Z - function_overloads: 2023-07-07T20:05:32.0413349Z - onnx_args: 2023-07-07T20:05:32.0413493Z - onnx_kwargs: 2023-07-07T20:05:32.0413796Z - diagnostic_context: 2023-07-07T20:05:32.0414006Z - Return value: 2023-07-07T20:05:32.0414080Z XFAIL [0.3100s] [ 53%] 2023-07-07T20:05:32.0414591Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_expand_as_fill_zero [2023-07-07 20:02:36,224] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.0414733Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0414739Z 2023-07-07T20:05:32.0414936Z [2023-07-07 20:02:36,224] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0415126Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0415132Z 2023-07-07T20:05:32.0415316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0415582Z - self: 2023-07-07T20:05:32.0415763Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0415877Z - aten_name: 2023-07-07T20:05:32.0416009Z - function_overloads: 2023-07-07T20:05:32.0416123Z - onnx_args: 2023-07-07T20:05:32.0416230Z - onnx_kwargs: 2023-07-07T20:05:32.0416536Z - diagnostic_context: 2023-07-07T20:05:32.0416745Z - Return value: 2023-07-07T20:05:32.0416986Z [2023-07-07 20:02:36,227] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0417125Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0417130Z 2023-07-07T20:05:32.0417330Z [2023-07-07 20:02:36,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0417534Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0417539Z 2023-07-07T20:05:32.0417722Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0417989Z - self: 2023-07-07T20:05:32.0418149Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0418264Z - aten_name: 2023-07-07T20:05:32.0418396Z - function_overloads: 2023-07-07T20:05:32.0418512Z - onnx_args: 2023-07-07T20:05:32.0418628Z - onnx_kwargs: 2023-07-07T20:05:32.0418959Z - diagnostic_context: 2023-07-07T20:05:32.0419114Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0419368Z [2023-07-07 20:02:36,228] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.0419491Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0419496Z 2023-07-07T20:05:32.0419692Z [2023-07-07 20:02:36,228] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0419891Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0419925Z 2023-07-07T20:05:32.0420135Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0420403Z - self: 2023-07-07T20:05:32.0420582Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0420694Z - aten_name: 2023-07-07T20:05:32.0420828Z - function_overloads: 2023-07-07T20:05:32.0420959Z - onnx_args: 2023-07-07T20:05:32.0421075Z - onnx_kwargs: 2023-07-07T20:05:32.0421375Z - diagnostic_context: 2023-07-07T20:05:32.0421586Z - Return value: 2023-07-07T20:05:32.0421837Z [2023-07-07 20:02:36,233] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.0421970Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0421978Z 2023-07-07T20:05:32.0422177Z [2023-07-07 20:02:36,233] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0422380Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0422386Z 2023-07-07T20:05:32.0422569Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0422823Z - self: 2023-07-07T20:05:32.0423005Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0423118Z - aten_name: 2023-07-07T20:05:32.0423249Z - function_overloads: 2023-07-07T20:05:32.0423363Z - onnx_args: 2023-07-07T20:05:32.0423478Z - onnx_kwargs: 2023-07-07T20:05:32.0423781Z - diagnostic_context: 2023-07-07T20:05:32.0423983Z - Return value: 2023-07-07T20:05:32.0424263Z [2023-07-07 20:02:36,236] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:32.0424409Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0424414Z 2023-07-07T20:05:32.0424611Z [2023-07-07 20:02:36,236] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0424811Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0424819Z 2023-07-07T20:05:32.0425000Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0425263Z - self: 2023-07-07T20:05:32.0425473Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.0425587Z - aten_name: 2023-07-07T20:05:32.0425708Z - function_overloads: 2023-07-07T20:05:32.0425826Z - onnx_args: 2023-07-07T20:05:32.0425943Z - onnx_kwargs: 2023-07-07T20:05:32.0426245Z - diagnostic_context: 2023-07-07T20:05:32.0426452Z - Return value: 2023-07-07T20:05:32.0426765Z [2023-07-07 20:02:36,238] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter_1]. 2023-07-07T20:05:32.0426916Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0426921Z 2023-07-07T20:05:32.0427117Z [2023-07-07 20:02:36,238] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0427305Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0427324Z 2023-07-07T20:05:32.0427522Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0427838Z - self: 2023-07-07T20:05:32.0428051Z - node: fx.Node(slice_scatter_1[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.0428163Z - aten_name: 2023-07-07T20:05:32.0428295Z - function_overloads: 2023-07-07T20:05:32.0428412Z - onnx_args: 2023-07-07T20:05:32.0428558Z - onnx_kwargs: 2023-07-07T20:05:32.0428849Z - diagnostic_context: 2023-07-07T20:05:32.0429059Z - Return value: 2023-07-07T20:05:32.0429311Z [2023-07-07 20:02:36,239] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.0429446Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0429455Z 2023-07-07T20:05:32.0429651Z [2023-07-07 20:02:36,239] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0429854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0429860Z 2023-07-07T20:05:32.0430043Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0430310Z - self: 2023-07-07T20:05:32.0430492Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0430593Z - aten_name: 2023-07-07T20:05:32.0430724Z - function_overloads: 2023-07-07T20:05:32.0430837Z - onnx_args: 2023-07-07T20:05:32.0430953Z - onnx_kwargs: 2023-07-07T20:05:32.0431256Z - diagnostic_context: 2023-07-07T20:05:32.0431466Z - Return value: 2023-07-07T20:05:32.0431725Z [2023-07-07 20:02:36,242] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.0431847Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0431866Z 2023-07-07T20:05:32.0432051Z [2023-07-07 20:02:36,242] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0432256Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0432264Z 2023-07-07T20:05:32.0432447Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0432712Z - self: 2023-07-07T20:05:32.0432891Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0433004Z - aten_name: 2023-07-07T20:05:32.0433135Z - function_overloads: 2023-07-07T20:05:32.0433239Z - onnx_args: 2023-07-07T20:05:32.0433354Z - onnx_kwargs: 2023-07-07T20:05:32.0433660Z - diagnostic_context: 2023-07-07T20:05:32.0433869Z - Return value: 2023-07-07T20:05:32.0434405Z 2023-07-07 20:02:36.271946915 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x2cea6a40_n17' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:32.0434487Z XFAIL [0.2341s] [ 54%] 2023-07-07T20:05:32.0435075Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_flatten_dynamic_axes [2023-07-07 20:02:36,430] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0435214Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0435256Z 2023-07-07T20:05:32.0435457Z [2023-07-07 20:02:36,431] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0435699Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0435706Z 2023-07-07T20:05:32.0435875Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0436146Z - self: 2023-07-07T20:05:32.0436348Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0436462Z - aten_name: 2023-07-07T20:05:32.0436592Z - function_overloads: 2023-07-07T20:05:32.0436706Z - onnx_args: 2023-07-07T20:05:32.0436823Z - onnx_kwargs: 2023-07-07T20:05:32.0437115Z - diagnostic_context: 2023-07-07T20:05:32.0437272Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0437519Z [2023-07-07 20:02:36,433] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:32.0437656Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0437662Z 2023-07-07T20:05:32.0437855Z [2023-07-07 20:02:36,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0438057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0438064Z 2023-07-07T20:05:32.0438244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0438509Z - self: 2023-07-07T20:05:32.0438682Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:32.0438782Z - aten_name: 2023-07-07T20:05:32.0438914Z - function_overloads: 2023-07-07T20:05:32.0439032Z - onnx_args: 2023-07-07T20:05:32.0439149Z - onnx_kwargs: 2023-07-07T20:05:32.0439455Z - diagnostic_context: 2023-07-07T20:05:32.0439609Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0439853Z [2023-07-07 20:02:36,435] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:32.0439990Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0439997Z 2023-07-07T20:05:32.0440180Z [2023-07-07 20:02:36,435] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0440383Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0440389Z 2023-07-07T20:05:32.0440570Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0440840Z - self: 2023-07-07T20:05:32.0441014Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:32.0441127Z - aten_name: 2023-07-07T20:05:32.0441258Z - function_overloads: 2023-07-07T20:05:32.0441373Z - onnx_args: 2023-07-07T20:05:32.0441476Z - onnx_kwargs: 2023-07-07T20:05:32.0441817Z - diagnostic_context: 2023-07-07T20:05:32.0441974Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0442218Z [2023-07-07 20:02:36,438] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:32.0442356Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0442362Z 2023-07-07T20:05:32.0442557Z [2023-07-07 20:02:36,438] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0442760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0442796Z 2023-07-07T20:05:32.0443007Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0443278Z - self: 2023-07-07T20:05:32.0443438Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:32.0443552Z - aten_name: 2023-07-07T20:05:32.0443713Z - function_overloads: 2023-07-07T20:05:32.0443829Z - onnx_args: 2023-07-07T20:05:32.0443945Z - onnx_kwargs: 2023-07-07T20:05:32.0444247Z - diagnostic_context: 2023-07-07T20:05:32.0444535Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0444635Z PASSED [0.2111s] [ 55%] 2023-07-07T20:05:32.0444933Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_func_with_args_and_tensor_kwargs XFAIL [0.0491s] [ 56%] 2023-07-07T20:05:32.0445466Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_func_with_nested_input_structure [2023-07-07 20:02:36,851] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_1]. 2023-07-07T20:05:32.0445617Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0445625Z 2023-07-07T20:05:32.0445822Z [2023-07-07 20:02:36,852] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0446025Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0446031Z 2023-07-07T20:05:32.0446213Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0446480Z - self: 2023-07-07T20:05:32.0446656Z - node: fx.Node(sum_1[call_function]'aten.sum.default') 2023-07-07T20:05:32.0446772Z - aten_name: 2023-07-07T20:05:32.0446892Z - function_overloads: 2023-07-07T20:05:32.0447008Z - onnx_args: 2023-07-07T20:05:32.0447126Z - onnx_kwargs: 2023-07-07T20:05:32.0447433Z - diagnostic_context: 2023-07-07T20:05:32.0447646Z - Return value: 2023-07-07T20:05:32.0447897Z [2023-07-07 20:02:36,855] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_2]. 2023-07-07T20:05:32.0448043Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0448049Z 2023-07-07T20:05:32.0448234Z [2023-07-07 20:02:36,855] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0448437Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0448445Z 2023-07-07T20:05:32.0448631Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0448901Z - self: 2023-07-07T20:05:32.0449077Z - node: fx.Node(sum_2[call_function]'aten.sum.default') 2023-07-07T20:05:32.0449249Z - aten_name: 2023-07-07T20:05:32.0449386Z - function_overloads: 2023-07-07T20:05:32.0449505Z - onnx_args: 2023-07-07T20:05:32.0449606Z - onnx_kwargs: 2023-07-07T20:05:32.0449912Z - diagnostic_context: 2023-07-07T20:05:32.0450121Z - Return value: 2023-07-07T20:05:32.0450201Z PASSED [0.3392s] [ 57%] 2023-07-07T20:05:32.0450479Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_func_with_nested_output_structure PASSED [0.1327s] [ 58%] 2023-07-07T20:05:32.0451084Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_gpt2_tiny Some weights of the model checkpoint at sshleifer/tiny-gpt2 were not used when initializing GPT2Model: ['lm_head.weight'] 2023-07-07T20:05:32.0451592Z - This IS expected if you are initializing GPT2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2023-07-07T20:05:32.0452132Z - This IS NOT expected if you are initializing GPT2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2023-07-07T20:05:32.0452374Z [2023-07-07 20:02:41,248] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0452516Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0452522Z 2023-07-07T20:05:32.0452723Z [2023-07-07 20:02:41,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0452916Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0452922Z 2023-07-07T20:05:32.0453108Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0453380Z - self: 2023-07-07T20:05:32.0453549Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0453663Z - aten_name: 2023-07-07T20:05:32.0453795Z - function_overloads: 2023-07-07T20:05:32.0453943Z - onnx_args: 2023-07-07T20:05:32.0454121Z - onnx_kwargs: 2023-07-07T20:05:32.0454753Z - diagnostic_context: 2023-07-07T20:05:32.0455061Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0455577Z [2023-07-07 20:02:41,251] torch.onnx: [WARNING] FX Node: call_function:[name=add]. 2023-07-07T20:05:32.0455834Z ONNX Node: aten_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0455845Z 2023-07-07T20:05:32.0456238Z [2023-07-07 20:02:41,251] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0456634Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0456647Z 2023-07-07T20:05:32.0457008Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0457547Z - self: 2023-07-07T20:05:32.0457900Z - node: fx.Node(add[call_function]'') 2023-07-07T20:05:32.0458130Z - aten_name: 2023-07-07T20:05:32.0458393Z - function_overloads: 2023-07-07T20:05:32.0458619Z - onnx_args: 2023-07-07T20:05:32.0458853Z - onnx_kwargs: 2023-07-07T20:05:32.0459471Z - diagnostic_context: 2023-07-07T20:05:32.0459762Z - Return value: `OnnxFunction(aten_add)` 2023-07-07T20:05:32.0460358Z [2023-07-07 20:02:41,254] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:32.0460629Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0460642Z 2023-07-07T20:05:32.0461031Z [2023-07-07 20:02:41,254] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0461431Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0461444Z 2023-07-07T20:05:32.0461900Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0462438Z - self: 2023-07-07T20:05:32.0462786Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0462983Z - aten_name: 2023-07-07T20:05:32.0463211Z - function_overloads: 2023-07-07T20:05:32.0463397Z - onnx_args: 2023-07-07T20:05:32.0463603Z - onnx_kwargs: 2023-07-07T20:05:32.0464168Z - diagnostic_context: 2023-07-07T20:05:32.0464441Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0464880Z [2023-07-07 20:02:41,258] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.0465104Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0465113Z 2023-07-07T20:05:32.0465455Z [2023-07-07 20:02:41,258] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0465804Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0465815Z 2023-07-07T20:05:32.0466124Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0466575Z - self: 2023-07-07T20:05:32.0466895Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0467093Z - aten_name: 2023-07-07T20:05:32.0467318Z - function_overloads: 2023-07-07T20:05:32.0467519Z - onnx_args: 2023-07-07T20:05:32.0467722Z - onnx_kwargs: 2023-07-07T20:05:32.0468258Z - diagnostic_context: 2023-07-07T20:05:32.0468611Z - Return value: 2023-07-07T20:05:32.0469084Z [2023-07-07 20:02:41,261] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:32.0469332Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0469340Z 2023-07-07T20:05:32.0469678Z [2023-07-07 20:02:41,261] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0470026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0470035Z 2023-07-07T20:05:32.0470353Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0470816Z - self: 2023-07-07T20:05:32.0471171Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0471367Z - aten_name: 2023-07-07T20:05:32.0471581Z - function_overloads: 2023-07-07T20:05:32.0471779Z - onnx_args: 2023-07-07T20:05:32.0471981Z - onnx_kwargs: 2023-07-07T20:05:32.0472511Z - diagnostic_context: 2023-07-07T20:05:32.0472780Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0473252Z [2023-07-07 20:02:41,262] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:32.0473542Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0473555Z 2023-07-07T20:05:32.0473896Z [2023-07-07 20:02:41,262] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0474233Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0474242Z 2023-07-07T20:05:32.0474558Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0475102Z - self: 2023-07-07T20:05:32.0475500Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0475733Z - aten_name: 2023-07-07T20:05:32.0475960Z - function_overloads: 2023-07-07T20:05:32.0476161Z - onnx_args: 2023-07-07T20:05:32.0476359Z - onnx_kwargs: 2023-07-07T20:05:32.0476883Z - diagnostic_context: 2023-07-07T20:05:32.0477150Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0477636Z [2023-07-07 20:02:41,263] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.0477870Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0477879Z 2023-07-07T20:05:32.0478216Z [2023-07-07 20:02:41,263] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0478555Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0478569Z 2023-07-07T20:05:32.0478883Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0479339Z - self: 2023-07-07T20:05:32.0479646Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0479828Z - aten_name: 2023-07-07T20:05:32.0480053Z - function_overloads: 2023-07-07T20:05:32.0480257Z - onnx_args: 2023-07-07T20:05:32.0480459Z - onnx_kwargs: 2023-07-07T20:05:32.0480996Z - diagnostic_context: 2023-07-07T20:05:32.0481361Z - Return value: 2023-07-07T20:05:32.0481901Z [2023-07-07 20:02:41,266] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:32.0482164Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0482173Z 2023-07-07T20:05:32.0482520Z [2023-07-07 20:02:41,266] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0482862Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0482874Z 2023-07-07T20:05:32.0483188Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0483653Z - self: 2023-07-07T20:05:32.0484064Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0484259Z - aten_name: 2023-07-07T20:05:32.0484587Z - function_overloads: 2023-07-07T20:05:32.0484792Z - onnx_args: 2023-07-07T20:05:32.0484980Z - onnx_kwargs: 2023-07-07T20:05:32.0485511Z - diagnostic_context: 2023-07-07T20:05:32.0485835Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0486348Z [2023-07-07 20:02:41,275] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm]. 2023-07-07T20:05:32.0486678Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0486688Z 2023-07-07T20:05:32.0487032Z [2023-07-07 20:02:41,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0487375Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0487384Z 2023-07-07T20:05:32.0487697Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0488146Z - self: 2023-07-07T20:05:32.0488580Z - node: fx.Node(native_layer_norm[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.0488819Z - aten_name: 2023-07-07T20:05:32.0489049Z - function_overloads: 2023-07-07T20:05:32.0489250Z - onnx_args: 2023-07-07T20:05:32.0489450Z - onnx_kwargs: 2023-07-07T20:05:32.0489986Z - diagnostic_context: 2023-07-07T20:05:32.0490349Z - Return value: 2023-07-07T20:05:32.0490820Z [2023-07-07 20:02:41,282] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:32.0491054Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0491065Z 2023-07-07T20:05:32.0491402Z [2023-07-07 20:02:41,282] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0491749Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0491762Z 2023-07-07T20:05:32.0492080Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0492545Z - self: 2023-07-07T20:05:32.0492856Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.0493050Z - aten_name: 2023-07-07T20:05:32.0493262Z - function_overloads: 2023-07-07T20:05:32.0493461Z - onnx_args: 2023-07-07T20:05:32.0493662Z - onnx_kwargs: 2023-07-07T20:05:32.0494189Z - diagnostic_context: 2023-07-07T20:05:32.0494445Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.0494916Z [2023-07-07 20:02:41,284] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T20:05:32.0495153Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0495165Z 2023-07-07T20:05:32.0495503Z [2023-07-07 20:02:41,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0495833Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0495854Z 2023-07-07T20:05:32.0496155Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0496624Z - self: 2023-07-07T20:05:32.0496975Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T20:05:32.0497168Z - aten_name: 2023-07-07T20:05:32.0497395Z - function_overloads: 2023-07-07T20:05:32.0497591Z - onnx_args: 2023-07-07T20:05:32.0497794Z - onnx_kwargs: 2023-07-07T20:05:32.0498314Z - diagnostic_context: 2023-07-07T20:05:32.0498583Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0499051Z [2023-07-07 20:02:41,285] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T20:05:32.0499285Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0499293Z 2023-07-07T20:05:32.0499669Z [2023-07-07 20:02:41,285] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0500017Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0500031Z 2023-07-07T20:05:32.0500343Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0500809Z - self: 2023-07-07T20:05:32.0501159Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T20:05:32.0501374Z - aten_name: 2023-07-07T20:05:32.0501601Z - function_overloads: 2023-07-07T20:05:32.0501801Z - onnx_args: 2023-07-07T20:05:32.0502035Z - onnx_kwargs: 2023-07-07T20:05:32.0502566Z - diagnostic_context: 2023-07-07T20:05:32.0502834Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0503312Z [2023-07-07 20:02:41,286] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_5]. 2023-07-07T20:05:32.0503585Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0503594Z 2023-07-07T20:05:32.0503915Z [2023-07-07 20:02:41,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0504261Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0504270Z 2023-07-07T20:05:32.0504583Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0505056Z - self: 2023-07-07T20:05:32.0505401Z - node: fx.Node(getitem_5[call_function]'') 2023-07-07T20:05:32.0505591Z - aten_name: 2023-07-07T20:05:32.0505818Z - function_overloads: 2023-07-07T20:05:32.0506016Z - onnx_args: 2023-07-07T20:05:32.0506205Z - onnx_kwargs: 2023-07-07T20:05:32.0506731Z - diagnostic_context: 2023-07-07T20:05:32.0506995Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0507422Z [2023-07-07 20:02:41,287] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:32.0507656Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0507665Z 2023-07-07T20:05:32.0508003Z [2023-07-07 20:02:41,287] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0508350Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0508359Z 2023-07-07T20:05:32.0508668Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0509136Z - self: 2023-07-07T20:05:32.0509420Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:32.0509616Z - aten_name: 2023-07-07T20:05:32.0509847Z - function_overloads: 2023-07-07T20:05:32.0510044Z - onnx_args: 2023-07-07T20:05:32.0510251Z - onnx_kwargs: 2023-07-07T20:05:32.0510782Z - diagnostic_context: 2023-07-07T20:05:32.0511044Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0511488Z [2023-07-07 20:02:41,290] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute]. 2023-07-07T20:05:32.0511730Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0511739Z 2023-07-07T20:05:32.0512075Z [2023-07-07 20:02:41,290] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0512458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0512468Z 2023-07-07T20:05:32.0512777Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0513249Z - self: 2023-07-07T20:05:32.0513585Z - node: fx.Node(permute[call_function]'aten.permute.default') 2023-07-07T20:05:32.0513779Z - aten_name: 2023-07-07T20:05:32.0514008Z - function_overloads: 2023-07-07T20:05:32.0514194Z - onnx_args: 2023-07-07T20:05:32.0514463Z - onnx_kwargs: 2023-07-07T20:05:32.0515118Z - diagnostic_context: 2023-07-07T20:05:32.0515382Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0515841Z [2023-07-07 20:02:41,293] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_1]. 2023-07-07T20:05:32.0516080Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0516089Z 2023-07-07T20:05:32.0516462Z [2023-07-07 20:02:41,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0516806Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0516816Z 2023-07-07T20:05:32.0517115Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0517575Z - self: 2023-07-07T20:05:32.0517920Z - node: fx.Node(permute_1[call_function]'aten.permute.default') 2023-07-07T20:05:32.0518112Z - aten_name: 2023-07-07T20:05:32.0518347Z - function_overloads: 2023-07-07T20:05:32.0518545Z - onnx_args: 2023-07-07T20:05:32.0518746Z - onnx_kwargs: 2023-07-07T20:05:32.0519264Z - diagnostic_context: 2023-07-07T20:05:32.0519531Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0519994Z [2023-07-07 20:02:41,295] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_2]. 2023-07-07T20:05:32.0520228Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0520236Z 2023-07-07T20:05:32.0520571Z [2023-07-07 20:02:41,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0520915Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0520926Z 2023-07-07T20:05:32.0521243Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0521710Z - self: 2023-07-07T20:05:32.0522050Z - node: fx.Node(permute_2[call_function]'aten.permute.default') 2023-07-07T20:05:32.0522226Z - aten_name: 2023-07-07T20:05:32.0522455Z - function_overloads: 2023-07-07T20:05:32.0522655Z - onnx_args: 2023-07-07T20:05:32.0522859Z - onnx_kwargs: 2023-07-07T20:05:32.0523385Z - diagnostic_context: 2023-07-07T20:05:32.0523652Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0524108Z [2023-07-07 20:02:41,297] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.0524351Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0524363Z 2023-07-07T20:05:32.0524879Z [2023-07-07 20:02:41,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0525234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0525242Z 2023-07-07T20:05:32.0525558Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0526099Z - self: 2023-07-07T20:05:32.0526437Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.0526632Z - aten_name: 2023-07-07T20:05:32.0526863Z - function_overloads: 2023-07-07T20:05:32.0527061Z - onnx_args: 2023-07-07T20:05:32.0527246Z - onnx_kwargs: 2023-07-07T20:05:32.0527775Z - diagnostic_context: 2023-07-07T20:05:32.0528188Z - Return value: 2023-07-07T20:05:32.0528658Z [2023-07-07 20:02:41,307] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T20:05:32.0528888Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0528897Z 2023-07-07T20:05:32.0529237Z [2023-07-07 20:02:41,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0529588Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0529635Z 2023-07-07T20:05:32.0529953Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0530419Z - self: 2023-07-07T20:05:32.0530707Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T20:05:32.0530901Z - aten_name: 2023-07-07T20:05:32.0531132Z - function_overloads: 2023-07-07T20:05:32.0531329Z - onnx_args: 2023-07-07T20:05:32.0531533Z - onnx_kwargs: 2023-07-07T20:05:32.0532057Z - diagnostic_context: 2023-07-07T20:05:32.0532308Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.0532739Z [2023-07-07 20:02:41,310] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.0532968Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0532980Z 2023-07-07T20:05:32.0533319Z [2023-07-07 20:02:41,310] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0533665Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0533673Z 2023-07-07T20:05:32.0533988Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0534458Z - self: 2023-07-07T20:05:32.0534772Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0534969Z - aten_name: 2023-07-07T20:05:32.0535200Z - function_overloads: 2023-07-07T20:05:32.0535382Z - onnx_args: 2023-07-07T20:05:32.0535584Z - onnx_kwargs: 2023-07-07T20:05:32.0536114Z - diagnostic_context: 2023-07-07T20:05:32.0536486Z - Return value: 2023-07-07T20:05:32.0536926Z [2023-07-07 20:02:41,313] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.0537150Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0537159Z 2023-07-07T20:05:32.0537504Z [2023-07-07 20:02:41,313] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0537852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0537863Z 2023-07-07T20:05:32.0538162Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0538626Z - self: 2023-07-07T20:05:32.0538987Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0539183Z - aten_name: 2023-07-07T20:05:32.0539416Z - function_overloads: 2023-07-07T20:05:32.0539616Z - onnx_args: 2023-07-07T20:05:32.0539816Z - onnx_kwargs: 2023-07-07T20:05:32.0540325Z - diagnostic_context: 2023-07-07T20:05:32.0540687Z - Return value: 2023-07-07T20:05:32.0541120Z [2023-07-07 20:02:41,316] torch.onnx: [WARNING] FX Node: call_function:[name=sub]. 2023-07-07T20:05:32.0541383Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0541424Z 2023-07-07T20:05:32.0541766Z [2023-07-07 20:02:41,316] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0542112Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0542121Z 2023-07-07T20:05:32.0542434Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0542936Z - self: 2023-07-07T20:05:32.0543252Z - node: fx.Node(sub[call_function]'') 2023-07-07T20:05:32.0543433Z - aten_name: 2023-07-07T20:05:32.0543661Z - function_overloads: 2023-07-07T20:05:32.0543860Z - onnx_args: 2023-07-07T20:05:32.0544059Z - onnx_kwargs: 2023-07-07T20:05:32.0544591Z - diagnostic_context: 2023-07-07T20:05:32.0544837Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:32.0545284Z [2023-07-07 20:02:41,317] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.0545509Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0545517Z 2023-07-07T20:05:32.0545853Z [2023-07-07 20:02:41,317] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0546200Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0546208Z 2023-07-07T20:05:32.0546524Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0546996Z - self: 2023-07-07T20:05:32.0547308Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0547506Z - aten_name: 2023-07-07T20:05:32.0547733Z - function_overloads: 2023-07-07T20:05:32.0547934Z - onnx_args: 2023-07-07T20:05:32.0548118Z - onnx_kwargs: 2023-07-07T20:05:32.0548638Z - diagnostic_context: 2023-07-07T20:05:32.0549009Z - Return value: 2023-07-07T20:05:32.0549445Z [2023-07-07 20:02:41,320] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:32.0549674Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0549682Z 2023-07-07T20:05:32.0550018Z [2023-07-07 20:02:41,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0550365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0550377Z 2023-07-07T20:05:32.0550692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0551159Z - self: 2023-07-07T20:05:32.0551452Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0551647Z - aten_name: 2023-07-07T20:05:32.0551868Z - function_overloads: 2023-07-07T20:05:32.0552110Z - onnx_args: 2023-07-07T20:05:32.0552314Z - onnx_kwargs: 2023-07-07T20:05:32.0552850Z - diagnostic_context: 2023-07-07T20:05:32.0553214Z - Return value: 2023-07-07T20:05:32.0553746Z [2023-07-07 20:02:41,322] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:32.0554016Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0554059Z 2023-07-07T20:05:32.0554430Z [2023-07-07 20:02:41,322] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0554844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0554853Z 2023-07-07T20:05:32.0555175Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0555640Z - self: 2023-07-07T20:05:32.0556093Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0556289Z - aten_name: 2023-07-07T20:05:32.0556515Z - function_overloads: 2023-07-07T20:05:32.0556700Z - onnx_args: 2023-07-07T20:05:32.0556904Z - onnx_kwargs: 2023-07-07T20:05:32.0557429Z - diagnostic_context: 2023-07-07T20:05:32.0557749Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0558187Z [2023-07-07 20:02:41,323] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_1]. 2023-07-07T20:05:32.0558415Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0558423Z 2023-07-07T20:05:32.0558770Z [2023-07-07 20:02:41,323] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0559116Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0559133Z 2023-07-07T20:05:32.0559432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0559893Z - self: 2023-07-07T20:05:32.0560199Z - node: fx.Node(full_1[call_function]'aten.full.default') 2023-07-07T20:05:32.0560392Z - aten_name: 2023-07-07T20:05:32.0560627Z - function_overloads: 2023-07-07T20:05:32.0560824Z - onnx_args: 2023-07-07T20:05:32.0561028Z - onnx_kwargs: 2023-07-07T20:05:32.0561557Z - diagnostic_context: 2023-07-07T20:05:32.0561794Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.0562217Z [2023-07-07 20:02:41,327] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:32.0562445Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0562454Z 2023-07-07T20:05:32.0562791Z [2023-07-07 20:02:41,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0563135Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0563144Z 2023-07-07T20:05:32.0563460Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0563925Z - self: 2023-07-07T20:05:32.0564228Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:32.0564503Z - aten_name: 2023-07-07T20:05:32.0564736Z - function_overloads: 2023-07-07T20:05:32.0564933Z - onnx_args: 2023-07-07T20:05:32.0565214Z - onnx_kwargs: 2023-07-07T20:05:32.0565751Z - diagnostic_context: 2023-07-07T20:05:32.0566005Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.0566437Z [2023-07-07 20:02:41,331] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:32.0566687Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0566696Z 2023-07-07T20:05:32.0567024Z [2023-07-07 20:02:41,331] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0567415Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0567461Z 2023-07-07T20:05:32.0567778Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0568238Z - self: 2023-07-07T20:05:32.0568554Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.0568793Z - aten_name: 2023-07-07T20:05:32.0569020Z - function_overloads: 2023-07-07T20:05:32.0569215Z - onnx_args: 2023-07-07T20:05:32.0569399Z - onnx_kwargs: 2023-07-07T20:05:32.0569928Z - diagnostic_context: 2023-07-07T20:05:32.0570292Z - Return value: 2023-07-07T20:05:32.0570719Z [2023-07-07 20:02:41,335] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:32.0570960Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0570968Z 2023-07-07T20:05:32.0571305Z [2023-07-07 20:02:41,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0571653Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0571664Z 2023-07-07T20:05:32.0571983Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0572447Z - self: 2023-07-07T20:05:32.0572733Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:32.0572929Z - aten_name: 2023-07-07T20:05:32.0573154Z - function_overloads: 2023-07-07T20:05:32.0573351Z - onnx_args: 2023-07-07T20:05:32.0573550Z - onnx_kwargs: 2023-07-07T20:05:32.0574085Z - diagnostic_context: 2023-07-07T20:05:32.0574353Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0574766Z [2023-07-07 20:02:41,336] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:32.0575005Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0575016Z 2023-07-07T20:05:32.0575352Z [2023-07-07 20:02:41,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0575705Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0575713Z 2023-07-07T20:05:32.0576029Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0576493Z - self: 2023-07-07T20:05:32.0576799Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:32.0576992Z - aten_name: 2023-07-07T20:05:32.0577225Z - function_overloads: 2023-07-07T20:05:32.0577408Z - onnx_args: 2023-07-07T20:05:32.0577609Z - onnx_kwargs: 2023-07-07T20:05:32.0578144Z - diagnostic_context: 2023-07-07T20:05:32.0578446Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0578908Z [2023-07-07 20:02:41,347] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_3]. 2023-07-07T20:05:32.0579148Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0579157Z 2023-07-07T20:05:32.0579501Z [2023-07-07 20:02:41,347] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0579844Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0579886Z 2023-07-07T20:05:32.0580183Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0580683Z - self: 2023-07-07T20:05:32.0581023Z - node: fx.Node(permute_3[call_function]'aten.permute.default') 2023-07-07T20:05:32.0581215Z - aten_name: 2023-07-07T20:05:32.0581448Z - function_overloads: 2023-07-07T20:05:32.0581649Z - onnx_args: 2023-07-07T20:05:32.0581887Z - onnx_kwargs: 2023-07-07T20:05:32.0582416Z - diagnostic_context: 2023-07-07T20:05:32.0582663Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0583093Z [2023-07-07 20:02:41,348] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:32.0583320Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0583332Z 2023-07-07T20:05:32.0583669Z [2023-07-07 20:02:41,348] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0584017Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0584026Z 2023-07-07T20:05:32.0584341Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0584807Z - self: 2023-07-07T20:05:32.0585123Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:32.0585302Z - aten_name: 2023-07-07T20:05:32.0585531Z - function_overloads: 2023-07-07T20:05:32.0585732Z - onnx_args: 2023-07-07T20:05:32.0585933Z - onnx_kwargs: 2023-07-07T20:05:32.0586470Z - diagnostic_context: 2023-07-07T20:05:32.0586722Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.0587243Z [2023-07-07 20:02:41,358] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_1]. 2023-07-07T20:05:32.0587505Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0587514Z 2023-07-07T20:05:32.0587836Z [2023-07-07 20:02:41,358] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0588185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0588197Z 2023-07-07T20:05:32.0588508Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0588976Z - self: 2023-07-07T20:05:32.0589372Z - node: fx.Node(native_layer_norm_1[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.0589567Z - aten_name: 2023-07-07T20:05:32.0589796Z - function_overloads: 2023-07-07T20:05:32.0589997Z - onnx_args: 2023-07-07T20:05:32.0590184Z - onnx_kwargs: 2023-07-07T20:05:32.0590716Z - diagnostic_context: 2023-07-07T20:05:32.0591083Z - Return value: 2023-07-07T20:05:32.0591553Z [2023-07-07 20:02:41,363] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_4]. 2023-07-07T20:05:32.0591794Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0591802Z 2023-07-07T20:05:32.0592146Z [2023-07-07 20:02:41,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0592488Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0592496Z 2023-07-07T20:05:32.0592810Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0593311Z - self: 2023-07-07T20:05:32.0593628Z - node: fx.Node(sym_size_4[call_function]'aten.sym_size') 2023-07-07T20:05:32.0593821Z - aten_name: 2023-07-07T20:05:32.0594051Z - function_overloads: 2023-07-07T20:05:32.0594246Z - onnx_args: 2023-07-07T20:05:32.0594449Z - onnx_kwargs: 2023-07-07T20:05:32.0595046Z - diagnostic_context: 2023-07-07T20:05:32.0595354Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0595763Z [2023-07-07 20:02:41,380] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_5]. 2023-07-07T20:05:32.0596001Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0596009Z 2023-07-07T20:05:32.0596347Z [2023-07-07 20:02:41,380] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0596698Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0596710Z 2023-07-07T20:05:32.0597024Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0597483Z - self: 2023-07-07T20:05:32.0597784Z - node: fx.Node(sym_size_5[call_function]'aten.sym_size') 2023-07-07T20:05:32.0597985Z - aten_name: 2023-07-07T20:05:32.0598213Z - function_overloads: 2023-07-07T20:05:32.0598396Z - onnx_args: 2023-07-07T20:05:32.0598595Z - onnx_kwargs: 2023-07-07T20:05:32.0599121Z - diagnostic_context: 2023-07-07T20:05:32.0599390Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0599906Z [2023-07-07 20:02:41,384] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_2]. 2023-07-07T20:05:32.0600169Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0600178Z 2023-07-07T20:05:32.0600513Z [2023-07-07 20:02:41,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0600861Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0600873Z 2023-07-07T20:05:32.0601187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0601641Z - self: 2023-07-07T20:05:32.0602025Z - node: fx.Node(native_layer_norm_2[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.0602221Z - aten_name: 2023-07-07T20:05:32.0602447Z - function_overloads: 2023-07-07T20:05:32.0602646Z - onnx_args: 2023-07-07T20:05:32.0602851Z - onnx_kwargs: 2023-07-07T20:05:32.0603386Z - diagnostic_context: 2023-07-07T20:05:32.0603743Z - Return value: 2023-07-07T20:05:32.0604180Z [2023-07-07 20:02:41,391] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:32.0604600Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0604611Z 2023-07-07T20:05:32.0604963Z [2023-07-07 20:02:41,391] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0605306Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0605315Z 2023-07-07T20:05:32.0605625Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0606092Z - self: 2023-07-07T20:05:32.0606455Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.0606706Z - aten_name: 2023-07-07T20:05:32.0606919Z - function_overloads: 2023-07-07T20:05:32.0607112Z - onnx_args: 2023-07-07T20:05:32.0607310Z - onnx_kwargs: 2023-07-07T20:05:32.0607840Z - diagnostic_context: 2023-07-07T20:05:32.0608095Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.0608612Z [2023-07-07 20:02:41,392] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_12]. 2023-07-07T20:05:32.0608847Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0608857Z 2023-07-07T20:05:32.0609201Z [2023-07-07 20:02:41,392] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0609535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0609549Z 2023-07-07T20:05:32.0609860Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0610324Z - self: 2023-07-07T20:05:32.0610673Z - node: fx.Node(getitem_12[call_function]'') 2023-07-07T20:05:32.0610870Z - aten_name: 2023-07-07T20:05:32.0611095Z - function_overloads: 2023-07-07T20:05:32.0611295Z - onnx_args: 2023-07-07T20:05:32.0611491Z - onnx_kwargs: 2023-07-07T20:05:32.0612008Z - diagnostic_context: 2023-07-07T20:05:32.0612270Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0612746Z [2023-07-07 20:02:41,394] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_13]. 2023-07-07T20:05:32.0612982Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0612993Z 2023-07-07T20:05:32.0613338Z [2023-07-07 20:02:41,394] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0613683Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0613691Z 2023-07-07T20:05:32.0614005Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0614473Z - self: 2023-07-07T20:05:32.0614828Z - node: fx.Node(getitem_13[call_function]'') 2023-07-07T20:05:32.0615005Z - aten_name: 2023-07-07T20:05:32.0615233Z - function_overloads: 2023-07-07T20:05:32.0615435Z - onnx_args: 2023-07-07T20:05:32.0615638Z - onnx_kwargs: 2023-07-07T20:05:32.0616164Z - diagnostic_context: 2023-07-07T20:05:32.0616430Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0616907Z [2023-07-07 20:02:41,395] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_14]. 2023-07-07T20:05:32.0617128Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0617139Z 2023-07-07T20:05:32.0617545Z [2023-07-07 20:02:41,395] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0617891Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0617902Z 2023-07-07T20:05:32.0618216Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0618679Z - self: 2023-07-07T20:05:32.0619026Z - node: fx.Node(getitem_14[call_function]'') 2023-07-07T20:05:32.0619257Z - aten_name: 2023-07-07T20:05:32.0619484Z - function_overloads: 2023-07-07T20:05:32.0619704Z - onnx_args: 2023-07-07T20:05:32.0619908Z - onnx_kwargs: 2023-07-07T20:05:32.0620435Z - diagnostic_context: 2023-07-07T20:05:32.0620695Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.0621127Z [2023-07-07 20:02:41,396] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_6]. 2023-07-07T20:05:32.0621398Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0621407Z 2023-07-07T20:05:32.0621752Z [2023-07-07 20:02:41,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0622099Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0622108Z 2023-07-07T20:05:32.0622421Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0622874Z - self: 2023-07-07T20:05:32.0623171Z - node: fx.Node(sym_size_6[call_function]'aten.sym_size') 2023-07-07T20:05:32.0623363Z - aten_name: 2023-07-07T20:05:32.0623592Z - function_overloads: 2023-07-07T20:05:32.0623790Z - onnx_args: 2023-07-07T20:05:32.0624000Z - onnx_kwargs: 2023-07-07T20:05:32.0624528Z - diagnostic_context: 2023-07-07T20:05:32.0624779Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0625245Z [2023-07-07 20:02:41,399] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_4]. 2023-07-07T20:05:32.0625479Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0625487Z 2023-07-07T20:05:32.0625829Z [2023-07-07 20:02:41,399] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0626175Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0626183Z 2023-07-07T20:05:32.0626494Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0626966Z - self: 2023-07-07T20:05:32.0627309Z - node: fx.Node(permute_4[call_function]'aten.permute.default') 2023-07-07T20:05:32.0627508Z - aten_name: 2023-07-07T20:05:32.0627726Z - function_overloads: 2023-07-07T20:05:32.0627923Z - onnx_args: 2023-07-07T20:05:32.0628124Z - onnx_kwargs: 2023-07-07T20:05:32.0628659Z - diagnostic_context: 2023-07-07T20:05:32.0628924Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0629390Z [2023-07-07 20:02:41,401] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_5]. 2023-07-07T20:05:32.0629627Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0629636Z 2023-07-07T20:05:32.0629976Z [2023-07-07 20:02:41,401] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0630361Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0630383Z 2023-07-07T20:05:32.0630686Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0631149Z - self: 2023-07-07T20:05:32.0631491Z - node: fx.Node(permute_5[call_function]'aten.permute.default') 2023-07-07T20:05:32.0631683Z - aten_name: 2023-07-07T20:05:32.0631910Z - function_overloads: 2023-07-07T20:05:32.0632105Z - onnx_args: 2023-07-07T20:05:32.0632346Z - onnx_kwargs: 2023-07-07T20:05:32.0632896Z - diagnostic_context: 2023-07-07T20:05:32.0633160Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0633627Z [2023-07-07 20:02:41,404] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_6]. 2023-07-07T20:05:32.0633864Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0633872Z 2023-07-07T20:05:32.0634248Z [2023-07-07 20:02:41,404] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0634597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0634671Z 2023-07-07T20:05:32.0634986Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0635460Z - self: 2023-07-07T20:05:32.0635803Z - node: fx.Node(permute_6[call_function]'aten.permute.default') 2023-07-07T20:05:32.0635988Z - aten_name: 2023-07-07T20:05:32.0636215Z - function_overloads: 2023-07-07T20:05:32.0636416Z - onnx_args: 2023-07-07T20:05:32.0636620Z - onnx_kwargs: 2023-07-07T20:05:32.0637155Z - diagnostic_context: 2023-07-07T20:05:32.0637422Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0637890Z [2023-07-07 20:02:41,405] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:32.0638118Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0638127Z 2023-07-07T20:05:32.0638467Z [2023-07-07 20:02:41,405] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0638814Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0638826Z 2023-07-07T20:05:32.0639145Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0639604Z - self: 2023-07-07T20:05:32.0639938Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:32.0640135Z - aten_name: 2023-07-07T20:05:32.0640369Z - function_overloads: 2023-07-07T20:05:32.0640557Z - onnx_args: 2023-07-07T20:05:32.0640755Z - onnx_kwargs: 2023-07-07T20:05:32.0641284Z - diagnostic_context: 2023-07-07T20:05:32.0641649Z - Return value: 2023-07-07T20:05:32.0642084Z [2023-07-07 20:02:41,803] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_2]. 2023-07-07T20:05:32.0642308Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0642320Z 2023-07-07T20:05:32.0642665Z [2023-07-07 20:02:41,803] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0643009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0643018Z 2023-07-07T20:05:32.0643377Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0643833Z - self: 2023-07-07T20:05:32.0644149Z - node: fx.Node(full_2[call_function]'aten.full.default') 2023-07-07T20:05:32.0644342Z - aten_name: 2023-07-07T20:05:32.0644680Z - function_overloads: 2023-07-07T20:05:32.0644877Z - onnx_args: 2023-07-07T20:05:32.0645082Z - onnx_kwargs: 2023-07-07T20:05:32.0645609Z - diagnostic_context: 2023-07-07T20:05:32.0645927Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.0646406Z [2023-07-07 20:02:41,807] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:32.0646637Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0646647Z 2023-07-07T20:05:32.0646987Z [2023-07-07 20:02:41,807] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0647334Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0647383Z 2023-07-07T20:05:32.0647699Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0648171Z - self: 2023-07-07T20:05:32.0648480Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0648673Z - aten_name: 2023-07-07T20:05:32.0648892Z - function_overloads: 2023-07-07T20:05:32.0649091Z - onnx_args: 2023-07-07T20:05:32.0649297Z - onnx_kwargs: 2023-07-07T20:05:32.0649827Z - diagnostic_context: 2023-07-07T20:05:32.0650192Z - Return value: 2023-07-07T20:05:32.0650632Z [2023-07-07 20:02:41,810] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:32.0650867Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0650876Z 2023-07-07T20:05:32.0651215Z [2023-07-07 20:02:41,810] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0651547Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0651569Z 2023-07-07T20:05:32.0651866Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0652329Z - self: 2023-07-07T20:05:32.0652646Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0652840Z - aten_name: 2023-07-07T20:05:32.0653066Z - function_overloads: 2023-07-07T20:05:32.0653265Z - onnx_args: 2023-07-07T20:05:32.0653469Z - onnx_kwargs: 2023-07-07T20:05:32.0653979Z - diagnostic_context: 2023-07-07T20:05:32.0654353Z - Return value: 2023-07-07T20:05:32.0654789Z [2023-07-07 20:02:41,813] torch.onnx: [WARNING] FX Node: call_function:[name=sub_2]. 2023-07-07T20:05:32.0655017Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0655026Z 2023-07-07T20:05:32.0655364Z [2023-07-07 20:02:41,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0655716Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0655724Z 2023-07-07T20:05:32.0656039Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0656510Z - self: 2023-07-07T20:05:32.0656901Z - node: fx.Node(sub_2[call_function]'') 2023-07-07T20:05:32.0657086Z - aten_name: 2023-07-07T20:05:32.0657308Z - function_overloads: 2023-07-07T20:05:32.0657504Z - onnx_args: 2023-07-07T20:05:32.0657704Z - onnx_kwargs: 2023-07-07T20:05:32.0658236Z - diagnostic_context: 2023-07-07T20:05:32.0658482Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:32.0658917Z [2023-07-07 20:02:41,814] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:32.0659166Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0659207Z 2023-07-07T20:05:32.0659546Z [2023-07-07 20:02:41,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0659888Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0659899Z 2023-07-07T20:05:32.0660216Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0660717Z - self: 2023-07-07T20:05:32.0661032Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0661226Z - aten_name: 2023-07-07T20:05:32.0661453Z - function_overloads: 2023-07-07T20:05:32.0661639Z - onnx_args: 2023-07-07T20:05:32.0661837Z - onnx_kwargs: 2023-07-07T20:05:32.0662372Z - diagnostic_context: 2023-07-07T20:05:32.0662735Z - Return value: 2023-07-07T20:05:32.0663176Z [2023-07-07 20:02:41,817] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:32.0663406Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0663418Z 2023-07-07T20:05:32.0663759Z [2023-07-07 20:02:41,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0664110Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0664119Z 2023-07-07T20:05:32.0664437Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0664890Z - self: 2023-07-07T20:05:32.0665210Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.0665403Z - aten_name: 2023-07-07T20:05:32.0665633Z - function_overloads: 2023-07-07T20:05:32.0665829Z - onnx_args: 2023-07-07T20:05:32.0666029Z - onnx_kwargs: 2023-07-07T20:05:32.0666563Z - diagnostic_context: 2023-07-07T20:05:32.0666915Z - Return value: 2023-07-07T20:05:32.0667458Z [2023-07-07 20:02:41,820] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:32.0667732Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0667741Z 2023-07-07T20:05:32.0668075Z [2023-07-07 20:02:41,820] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0668422Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0668434Z 2023-07-07T20:05:32.0668747Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0669216Z - self: 2023-07-07T20:05:32.0669638Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0669868Z - aten_name: 2023-07-07T20:05:32.0670081Z - function_overloads: 2023-07-07T20:05:32.0670282Z - onnx_args: 2023-07-07T20:05:32.0670482Z - onnx_kwargs: 2023-07-07T20:05:32.0671012Z - diagnostic_context: 2023-07-07T20:05:32.0671337Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0671766Z [2023-07-07 20:02:41,821] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_3]. 2023-07-07T20:05:32.0672031Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0672040Z 2023-07-07T20:05:32.0672409Z [2023-07-07 20:02:41,821] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0672739Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0672761Z 2023-07-07T20:05:32.0673064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0673564Z - self: 2023-07-07T20:05:32.0673873Z - node: fx.Node(full_3[call_function]'aten.full.default') 2023-07-07T20:05:32.0674073Z - aten_name: 2023-07-07T20:05:32.0674303Z - function_overloads: 2023-07-07T20:05:32.0674507Z - onnx_args: 2023-07-07T20:05:32.0674787Z - onnx_kwargs: 2023-07-07T20:05:32.0675309Z - diagnostic_context: 2023-07-07T20:05:32.0675560Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.0675996Z [2023-07-07 20:02:41,825] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax_1]. 2023-07-07T20:05:32.0676221Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0676231Z 2023-07-07T20:05:32.0676572Z [2023-07-07 20:02:41,825] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0676920Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0676932Z 2023-07-07T20:05:32.0677248Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0677722Z - self: 2023-07-07T20:05:32.0678036Z - node: fx.Node(amax_1[call_function]'aten.amax.default') 2023-07-07T20:05:32.0678215Z - aten_name: 2023-07-07T20:05:32.0678445Z - function_overloads: 2023-07-07T20:05:32.0678634Z - onnx_args: 2023-07-07T20:05:32.0678836Z - onnx_kwargs: 2023-07-07T20:05:32.0679522Z - diagnostic_context: 2023-07-07T20:05:32.0679812Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.0680320Z [2023-07-07 20:02:41,830] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_2]. 2023-07-07T20:05:32.0680597Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0680622Z 2023-07-07T20:05:32.0680999Z [2023-07-07 20:02:41,830] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0681402Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0681412Z 2023-07-07T20:05:32.0681775Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0682322Z - self: 2023-07-07T20:05:32.0682680Z - node: fx.Node(sum_2[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.0682902Z - aten_name: 2023-07-07T20:05:32.0683163Z - function_overloads: 2023-07-07T20:05:32.0683394Z - onnx_args: 2023-07-07T20:05:32.0683658Z - onnx_kwargs: 2023-07-07T20:05:32.0684280Z - diagnostic_context: 2023-07-07T20:05:32.0684822Z - Return value: 2023-07-07T20:05:32.0685320Z [2023-07-07 20:02:41,834] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_7]. 2023-07-07T20:05:32.0685597Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0685607Z 2023-07-07T20:05:32.0686006Z [2023-07-07 20:02:41,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0686551Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0686561Z 2023-07-07T20:05:32.0686878Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0687347Z - self: 2023-07-07T20:05:32.0687633Z - node: fx.Node(sym_size_7[call_function]'aten.sym_size') 2023-07-07T20:05:32.0687872Z - aten_name: 2023-07-07T20:05:32.0688099Z - function_overloads: 2023-07-07T20:05:32.0688297Z - onnx_args: 2023-07-07T20:05:32.0688498Z - onnx_kwargs: 2023-07-07T20:05:32.0689029Z - diagnostic_context: 2023-07-07T20:05:32.0689299Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0689710Z [2023-07-07 20:02:41,836] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_8]. 2023-07-07T20:05:32.0689948Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0689957Z 2023-07-07T20:05:32.0690316Z [2023-07-07 20:02:41,836] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0690663Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0690672Z 2023-07-07T20:05:32.0690992Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0691458Z - self: 2023-07-07T20:05:32.0691764Z - node: fx.Node(sym_size_8[call_function]'aten.sym_size') 2023-07-07T20:05:32.0691957Z - aten_name: 2023-07-07T20:05:32.0692173Z - function_overloads: 2023-07-07T20:05:32.0692372Z - onnx_args: 2023-07-07T20:05:32.0692577Z - onnx_kwargs: 2023-07-07T20:05:32.0693103Z - diagnostic_context: 2023-07-07T20:05:32.0693370Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0693833Z [2023-07-07 20:02:41,847] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_7]. 2023-07-07T20:05:32.0694072Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0694081Z 2023-07-07T20:05:32.0694419Z [2023-07-07 20:02:41,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0694756Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0694777Z 2023-07-07T20:05:32.0695075Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0695540Z - self: 2023-07-07T20:05:32.0695883Z - node: fx.Node(permute_7[call_function]'aten.permute.default') 2023-07-07T20:05:32.0696072Z - aten_name: 2023-07-07T20:05:32.0696302Z - function_overloads: 2023-07-07T20:05:32.0696499Z - onnx_args: 2023-07-07T20:05:32.0696697Z - onnx_kwargs: 2023-07-07T20:05:32.0697202Z - diagnostic_context: 2023-07-07T20:05:32.0697511Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.0697956Z [2023-07-07 20:02:41,849] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:32.0698181Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0698189Z 2023-07-07T20:05:32.0698526Z [2023-07-07 20:02:41,849] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0698869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0698923Z 2023-07-07T20:05:32.0699280Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0699748Z - self: 2023-07-07T20:05:32.0700068Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:32.0700244Z - aten_name: 2023-07-07T20:05:32.0700477Z - function_overloads: 2023-07-07T20:05:32.0700675Z - onnx_args: 2023-07-07T20:05:32.0700912Z - onnx_kwargs: 2023-07-07T20:05:32.0701431Z - diagnostic_context: 2023-07-07T20:05:32.0701682Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.0702194Z [2023-07-07 20:02:41,859] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_3]. 2023-07-07T20:05:32.0702435Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0702462Z 2023-07-07T20:05:32.0702787Z [2023-07-07 20:02:41,859] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0703132Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0703141Z 2023-07-07T20:05:32.0703459Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0703921Z - self: 2023-07-07T20:05:32.0704311Z - node: fx.Node(native_layer_norm_3[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.0704503Z - aten_name: 2023-07-07T20:05:32.0704735Z - function_overloads: 2023-07-07T20:05:32.0704930Z - onnx_args: 2023-07-07T20:05:32.0705117Z - onnx_kwargs: 2023-07-07T20:05:32.0705641Z - diagnostic_context: 2023-07-07T20:05:32.0706015Z - Return value: 2023-07-07T20:05:32.0706447Z [2023-07-07 20:02:41,864] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_9]. 2023-07-07T20:05:32.0706680Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0706688Z 2023-07-07T20:05:32.0707034Z [2023-07-07 20:02:41,864] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0707378Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0707389Z 2023-07-07T20:05:32.0707707Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0708177Z - self: 2023-07-07T20:05:32.0708464Z - node: fx.Node(sym_size_9[call_function]'aten.sym_size') 2023-07-07T20:05:32.0708657Z - aten_name: 2023-07-07T20:05:32.0708884Z - function_overloads: 2023-07-07T20:05:32.0709082Z - onnx_args: 2023-07-07T20:05:32.0709285Z - onnx_kwargs: 2023-07-07T20:05:32.0709812Z - diagnostic_context: 2023-07-07T20:05:32.0710080Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0710537Z [2023-07-07 20:02:41,881] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_10]. 2023-07-07T20:05:32.0710780Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0710788Z 2023-07-07T20:05:32.0711120Z [2023-07-07 20:02:41,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0711470Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0711479Z 2023-07-07T20:05:32.0711790Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0712319Z - self: 2023-07-07T20:05:32.0712624Z - node: fx.Node(sym_size_10[call_function]'aten.sym_size') 2023-07-07T20:05:32.0712818Z - aten_name: 2023-07-07T20:05:32.0713047Z - function_overloads: 2023-07-07T20:05:32.0713231Z - onnx_args: 2023-07-07T20:05:32.0713433Z - onnx_kwargs: 2023-07-07T20:05:32.0713967Z - diagnostic_context: 2023-07-07T20:05:32.0714293Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0714868Z [2023-07-07 20:02:41,886] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_4]. 2023-07-07T20:05:32.0715125Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0715134Z 2023-07-07T20:05:32.0715472Z [2023-07-07 20:02:41,886] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0715824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0715835Z 2023-07-07T20:05:32.0716136Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0716603Z - self: 2023-07-07T20:05:32.0716995Z - node: fx.Node(native_layer_norm_4[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.0717194Z - aten_name: 2023-07-07T20:05:32.0717425Z - function_overloads: 2023-07-07T20:05:32.0717627Z - onnx_args: 2023-07-07T20:05:32.0717831Z - onnx_kwargs: 2023-07-07T20:05:32.0718352Z - diagnostic_context: 2023-07-07T20:05:32.0718709Z - Return value: 2023-07-07T20:05:32.0718842Z PASSED [6.5117s] [ 59%] 2023-07-07T20:05:32.0719532Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_large_scale_exporter_with_tiny_gpt2 SKIPPED [0.0010s] (Skip verify dynamic shapes test for FX. FakeTensor exporting is not supported by dynamic axes.) [ 60%] 2023-07-07T20:05:32.0720191Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_large_scale_exporter_with_toy_mlp SKIPPED [0.0008s] (Skip verify dynamic shapes test for FX. FakeTensor exporting is not supported by dynamic axes.) [ 61%] 2023-07-07T20:05:32.0721089Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_log_sigmoid [2023-07-07 20:02:43,685] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T20:05:32.0721329Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0721582Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0721592Z 2023-07-07T20:05:32.0721942Z [2023-07-07 20:02:43,685] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0722289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0722297Z 2023-07-07T20:05:32.0722651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0723109Z - self: 2023-07-07T20:05:32.0723444Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T20:05:32.0723642Z - aten_name: 2023-07-07T20:05:32.0723872Z - function_overloads: 2023-07-07T20:05:32.0724072Z - onnx_args: 2023-07-07T20:05:32.0724272Z - onnx_kwargs: 2023-07-07T20:05:32.0724941Z - diagnostic_context: 2023-07-07T20:05:32.0725264Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T20:05:32.0725380Z PASSED [0.1683s] [ 62%] 2023-07-07T20:05:32.0726219Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_matmul [2023-07-07 20:02:43,920] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0726456Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0726511Z 2023-07-07T20:05:32.0726852Z [2023-07-07 20:02:43,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0727198Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0727207Z 2023-07-07T20:05:32.0727517Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0727986Z - self: 2023-07-07T20:05:32.0728282Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0728476Z - aten_name: 2023-07-07T20:05:32.0728690Z - function_overloads: 2023-07-07T20:05:32.0728887Z - onnx_args: 2023-07-07T20:05:32.0729090Z - onnx_kwargs: 2023-07-07T20:05:32.0729623Z - diagnostic_context: 2023-07-07T20:05:32.0729889Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0730317Z [2023-07-07 20:02:43,921] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:32.0730547Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0730557Z 2023-07-07T20:05:32.0730882Z [2023-07-07 20:02:43,921] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0731221Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0731233Z 2023-07-07T20:05:32.0731545Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0732002Z - self: 2023-07-07T20:05:32.0732315Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:32.0732508Z - aten_name: 2023-07-07T20:05:32.0732740Z - function_overloads: 2023-07-07T20:05:32.0732938Z - onnx_args: 2023-07-07T20:05:32.0733127Z - onnx_kwargs: 2023-07-07T20:05:32.0733657Z - diagnostic_context: 2023-07-07T20:05:32.0733920Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0734347Z [2023-07-07 20:02:43,922] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:32.0734584Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0734593Z 2023-07-07T20:05:32.0734935Z [2023-07-07 20:02:43,922] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0735287Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0735296Z 2023-07-07T20:05:32.0735664Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0736126Z - self: 2023-07-07T20:05:32.0736411Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:32.0736601Z - aten_name: 2023-07-07T20:05:32.0736826Z - function_overloads: 2023-07-07T20:05:32.0737025Z - onnx_args: 2023-07-07T20:05:32.0737230Z - onnx_kwargs: 2023-07-07T20:05:32.0737756Z - diagnostic_context: 2023-07-07T20:05:32.0738067Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0738527Z [2023-07-07 20:02:43,927] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:32.0738748Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0738756Z 2023-07-07T20:05:32.0739096Z [2023-07-07 20:02:43,927] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0739479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0739488Z 2023-07-07T20:05:32.0739800Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0740265Z - self: 2023-07-07T20:05:32.0740562Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:32.0740761Z - aten_name: 2023-07-07T20:05:32.0740985Z - function_overloads: 2023-07-07T20:05:32.0741170Z - onnx_args: 2023-07-07T20:05:32.0741374Z - onnx_kwargs: 2023-07-07T20:05:32.0741900Z - diagnostic_context: 2023-07-07T20:05:32.0742164Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0742592Z [2023-07-07 20:02:43,928] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_4]. 2023-07-07T20:05:32.0742832Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0742841Z 2023-07-07T20:05:32.0743181Z [2023-07-07 20:02:43,928] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0743523Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0743531Z 2023-07-07T20:05:32.0743841Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0744295Z - self: 2023-07-07T20:05:32.0744587Z - node: fx.Node(sym_size_4[call_function]'aten.sym_size') 2023-07-07T20:05:32.0744779Z - aten_name: 2023-07-07T20:05:32.0745004Z - function_overloads: 2023-07-07T20:05:32.0745198Z - onnx_args: 2023-07-07T20:05:32.0745402Z - onnx_kwargs: 2023-07-07T20:05:32.0745935Z - diagnostic_context: 2023-07-07T20:05:32.0746185Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0746316Z PASSED [0.2615s] [ 62%] 2023-07-07T20:05:32.0747210Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_mnist [2023-07-07 20:02:45,569] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.0747458Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0747467Z 2023-07-07T20:05:32.0747817Z [2023-07-07 20:02:45,569] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0748159Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0748168Z 2023-07-07T20:05:32.0748540Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0749009Z - self: 2023-07-07T20:05:32.0749378Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0749555Z - aten_name: 2023-07-07T20:05:32.0749784Z - function_overloads: 2023-07-07T20:05:32.0749984Z - onnx_args: 2023-07-07T20:05:32.0750182Z - onnx_kwargs: 2023-07-07T20:05:32.0750751Z - diagnostic_context: 2023-07-07T20:05:32.0751145Z - Return value: 2023-07-07T20:05:32.0751640Z [2023-07-07 20:02:45,574] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:32.0751886Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0751895Z 2023-07-07T20:05:32.0752220Z [2023-07-07 20:02:45,574] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0752606Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0752615Z 2023-07-07T20:05:32.0752928Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0753390Z - self: 2023-07-07T20:05:32.0753760Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0753962Z - aten_name: 2023-07-07T20:05:32.0754192Z - function_overloads: 2023-07-07T20:05:32.0754395Z - onnx_args: 2023-07-07T20:05:32.0754584Z - onnx_kwargs: 2023-07-07T20:05:32.0755183Z - diagnostic_context: 2023-07-07T20:05:32.0755554Z - Return value: 2023-07-07T20:05:32.0756104Z [2023-07-07 20:02:45,577] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:32.0756380Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0756389Z 2023-07-07T20:05:32.0756729Z [2023-07-07 20:02:45,577] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0757078Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0757091Z 2023-07-07T20:05:32.0757405Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0757869Z - self: 2023-07-07T20:05:32.0758282Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:32.0758477Z - aten_name: 2023-07-07T20:05:32.0758708Z - function_overloads: 2023-07-07T20:05:32.0758908Z - onnx_args: 2023-07-07T20:05:32.0759107Z - onnx_kwargs: 2023-07-07T20:05:32.0759635Z - diagnostic_context: 2023-07-07T20:05:32.0760005Z - Return value: 2023-07-07T20:05:32.0760409Z [2023-07-07 20:02:45,579] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0760652Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0760660Z 2023-07-07T20:05:32.0761007Z [2023-07-07 20:02:45,579] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0761353Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0761361Z 2023-07-07T20:05:32.0761731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0762200Z - self: 2023-07-07T20:05:32.0762492Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0762688Z - aten_name: 2023-07-07T20:05:32.0762911Z - function_overloads: 2023-07-07T20:05:32.0763102Z - onnx_args: 2023-07-07T20:05:32.0763304Z - onnx_kwargs: 2023-07-07T20:05:32.0763840Z - diagnostic_context: 2023-07-07T20:05:32.0764145Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0764745Z [2023-07-07 20:02:45,580] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:32.0764982Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0764993Z 2023-07-07T20:05:32.0765339Z [2023-07-07 20:02:45,580] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0765688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0765739Z 2023-07-07T20:05:32.0766036Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0766495Z - self: 2023-07-07T20:05:32.0766795Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:32.0766994Z - aten_name: 2023-07-07T20:05:32.0767219Z - function_overloads: 2023-07-07T20:05:32.0767418Z - onnx_args: 2023-07-07T20:05:32.0767623Z - onnx_kwargs: 2023-07-07T20:05:32.0768158Z - diagnostic_context: 2023-07-07T20:05:32.0768409Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0768838Z [2023-07-07 20:02:45,583] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:32.0769079Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0769088Z 2023-07-07T20:05:32.0769421Z [2023-07-07 20:02:45,583] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0769763Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0769772Z 2023-07-07T20:05:32.0770079Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0770545Z - self: 2023-07-07T20:05:32.0770842Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:32.0771034Z - aten_name: 2023-07-07T20:05:32.0771250Z - function_overloads: 2023-07-07T20:05:32.0771444Z - onnx_args: 2023-07-07T20:05:32.0771654Z - onnx_kwargs: 2023-07-07T20:05:32.0772174Z - diagnostic_context: 2023-07-07T20:05:32.0772442Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0772866Z [2023-07-07 20:02:45,596] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:32.0773093Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0773102Z 2023-07-07T20:05:32.0773430Z [2023-07-07 20:02:45,596] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0773786Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0773795Z 2023-07-07T20:05:32.0774109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0774569Z - self: 2023-07-07T20:05:32.0774929Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:32.0775152Z - aten_name: 2023-07-07T20:05:32.0775382Z - function_overloads: 2023-07-07T20:05:32.0775579Z - onnx_args: 2023-07-07T20:05:32.0775764Z - onnx_kwargs: 2023-07-07T20:05:32.0776290Z - diagnostic_context: 2023-07-07T20:05:32.0776540Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.0776973Z [2023-07-07 20:02:45,599] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:32.0777301Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0777311Z 2023-07-07T20:05:32.0777649Z [2023-07-07 20:02:45,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0777995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0778011Z 2023-07-07T20:05:32.0778329Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0778822Z - self: 2023-07-07T20:05:32.0779128Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.0779322Z - aten_name: 2023-07-07T20:05:32.0779548Z - function_overloads: 2023-07-07T20:05:32.0779751Z - onnx_args: 2023-07-07T20:05:32.0779956Z - onnx_kwargs: 2023-07-07T20:05:32.0780491Z - diagnostic_context: 2023-07-07T20:05:32.0780861Z - Return value: 2023-07-07T20:05:32.0780978Z PASSED [1.9150s] [ 63%] 2023-07-07T20:05:32.0781815Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_mutation [2023-07-07 20:02:46,093] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.0782058Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0782067Z 2023-07-07T20:05:32.0782407Z [2023-07-07 20:02:46,093] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0782756Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0782765Z 2023-07-07T20:05:32.0783077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0783544Z - self: 2023-07-07T20:05:32.0783835Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.0784030Z - aten_name: 2023-07-07T20:05:32.0784243Z - function_overloads: 2023-07-07T20:05:32.0784446Z - onnx_args: 2023-07-07T20:05:32.0784646Z - onnx_kwargs: 2023-07-07T20:05:32.0785173Z - diagnostic_context: 2023-07-07T20:05:32.0785440Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.0785571Z PASSED [0.2235s] [ 64%] 2023-07-07T20:05:32.0785998Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_none_input PASSED [0.0924s] [ 65%] 2023-07-07T20:05:32.0786905Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_resnet18 [2023-07-07 20:02:52,961] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.0787155Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0787164Z 2023-07-07T20:05:32.0787489Z [2023-07-07 20:02:52,961] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0787875Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0787888Z 2023-07-07T20:05:32.0788200Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0788665Z - self: 2023-07-07T20:05:32.0789030Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0789228Z - aten_name: 2023-07-07T20:05:32.0789455Z - function_overloads: 2023-07-07T20:05:32.0789688Z - onnx_args: 2023-07-07T20:05:32.0789874Z - onnx_kwargs: 2023-07-07T20:05:32.0790450Z - diagnostic_context: 2023-07-07T20:05:32.0790815Z - Return value: 2023-07-07T20:05:32.0791356Z [2023-07-07 20:02:52,965] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:32.0791663Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0791671Z 2023-07-07T20:05:32.0792012Z [2023-07-07 20:02:52,965] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0792359Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0792368Z 2023-07-07T20:05:32.0792680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0793148Z - self: 2023-07-07T20:05:32.0793553Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0793743Z - aten_name: 2023-07-07T20:05:32.0793975Z - function_overloads: 2023-07-07T20:05:32.0794178Z - onnx_args: 2023-07-07T20:05:32.0794383Z - onnx_kwargs: 2023-07-07T20:05:32.0794984Z - diagnostic_context: 2023-07-07T20:05:32.0795308Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0795835Z [2023-07-07 20:02:52,966] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:32.0796108Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0796118Z 2023-07-07T20:05:32.0796463Z [2023-07-07 20:02:52,966] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0796811Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0796820Z 2023-07-07T20:05:32.0797133Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0797602Z - self: 2023-07-07T20:05:32.0798028Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0798222Z - aten_name: 2023-07-07T20:05:32.0798448Z - function_overloads: 2023-07-07T20:05:32.0798638Z - onnx_args: 2023-07-07T20:05:32.0798839Z - onnx_kwargs: 2023-07-07T20:05:32.0799366Z - diagnostic_context: 2023-07-07T20:05:32.0799686Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0800125Z [2023-07-07 20:02:52,971] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:05:32.0800364Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0800372Z 2023-07-07T20:05:32.0800710Z [2023-07-07 20:02:52,971] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0801101Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0801113Z 2023-07-07T20:05:32.0801431Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0801883Z - self: 2023-07-07T20:05:32.0802202Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:05:32.0802395Z - aten_name: 2023-07-07T20:05:32.0802626Z - function_overloads: 2023-07-07T20:05:32.0802863Z - onnx_args: 2023-07-07T20:05:32.0803071Z - onnx_kwargs: 2023-07-07T20:05:32.0803629Z - diagnostic_context: 2023-07-07T20:05:32.0803893Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.0804366Z [2023-07-07 20:02:52,976] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:32.0804717Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0804790Z 2023-07-07T20:05:32.0805134Z [2023-07-07 20:02:52,976] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0805482Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0805491Z 2023-07-07T20:05:32.0805804Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0806267Z - self: 2023-07-07T20:05:32.0806617Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0806814Z - aten_name: 2023-07-07T20:05:32.0807024Z - function_overloads: 2023-07-07T20:05:32.0807222Z - onnx_args: 2023-07-07T20:05:32.0807424Z - onnx_kwargs: 2023-07-07T20:05:32.0807958Z - diagnostic_context: 2023-07-07T20:05:32.0808233Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0808706Z [2023-07-07 20:02:52,977] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:32.0808948Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0808956Z 2023-07-07T20:05:32.0809296Z [2023-07-07 20:02:52,977] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0809629Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0809641Z 2023-07-07T20:05:32.0809959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0810416Z - self: 2023-07-07T20:05:32.0810771Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0810970Z - aten_name: 2023-07-07T20:05:32.0811197Z - function_overloads: 2023-07-07T20:05:32.0811396Z - onnx_args: 2023-07-07T20:05:32.0811597Z - onnx_kwargs: 2023-07-07T20:05:32.0812119Z - diagnostic_context: 2023-07-07T20:05:32.0812387Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0812869Z [2023-07-07 20:02:52,978] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:32.0813113Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0813124Z 2023-07-07T20:05:32.0813461Z [2023-07-07 20:02:52,978] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0813809Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0813818Z 2023-07-07T20:05:32.0814181Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0814650Z - self: 2023-07-07T20:05:32.0814999Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0815177Z - aten_name: 2023-07-07T20:05:32.0815403Z - function_overloads: 2023-07-07T20:05:32.0815599Z - onnx_args: 2023-07-07T20:05:32.0815797Z - onnx_kwargs: 2023-07-07T20:05:32.0816365Z - diagnostic_context: 2023-07-07T20:05:32.0816707Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0817183Z [2023-07-07 20:02:52,979] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_3]. 2023-07-07T20:05:32.0817413Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0817424Z 2023-07-07T20:05:32.0817768Z [2023-07-07 20:02:52,979] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0818149Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0818158Z 2023-07-07T20:05:32.0818470Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0818940Z - self: 2023-07-07T20:05:32.0819304Z - node: fx.Node(unsqueeze_3[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0819497Z - aten_name: 2023-07-07T20:05:32.0819726Z - function_overloads: 2023-07-07T20:05:32.0819910Z - onnx_args: 2023-07-07T20:05:32.0820109Z - onnx_kwargs: 2023-07-07T20:05:32.0820634Z - diagnostic_context: 2023-07-07T20:05:32.0820908Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0821392Z [2023-07-07 20:02:52,983] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_4]. 2023-07-07T20:05:32.0821631Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0821640Z 2023-07-07T20:05:32.0821979Z [2023-07-07 20:02:52,983] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0822321Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0822333Z 2023-07-07T20:05:32.0822641Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0823105Z - self: 2023-07-07T20:05:32.0823454Z - node: fx.Node(unsqueeze_4[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0823645Z - aten_name: 2023-07-07T20:05:32.0823874Z - function_overloads: 2023-07-07T20:05:32.0824067Z - onnx_args: 2023-07-07T20:05:32.0824272Z - onnx_kwargs: 2023-07-07T20:05:32.0824799Z - diagnostic_context: 2023-07-07T20:05:32.0825056Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0825528Z [2023-07-07 20:02:52,984] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_5]. 2023-07-07T20:05:32.0825767Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0825778Z 2023-07-07T20:05:32.0826117Z [2023-07-07 20:02:52,984] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0826463Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0826472Z 2023-07-07T20:05:32.0826783Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0827282Z - self: 2023-07-07T20:05:32.0827640Z - node: fx.Node(unsqueeze_5[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0827837Z - aten_name: 2023-07-07T20:05:32.0828049Z - function_overloads: 2023-07-07T20:05:32.0828252Z - onnx_args: 2023-07-07T20:05:32.0828451Z - onnx_kwargs: 2023-07-07T20:05:32.0828978Z - diagnostic_context: 2023-07-07T20:05:32.0829291Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0829799Z [2023-07-07 20:02:52,987] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_6]. 2023-07-07T20:05:32.0830043Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0830054Z 2023-07-07T20:05:32.0830398Z [2023-07-07 20:02:52,987] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0830727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0830785Z 2023-07-07T20:05:32.0831085Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0831548Z - self: 2023-07-07T20:05:32.0831901Z - node: fx.Node(unsqueeze_6[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0832094Z - aten_name: 2023-07-07T20:05:32.0832329Z - function_overloads: 2023-07-07T20:05:32.0832524Z - onnx_args: 2023-07-07T20:05:32.0832727Z - onnx_kwargs: 2023-07-07T20:05:32.0833240Z - diagnostic_context: 2023-07-07T20:05:32.0833512Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0833992Z [2023-07-07 20:02:52,988] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_7]. 2023-07-07T20:05:32.0834237Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0834246Z 2023-07-07T20:05:32.0834590Z [2023-07-07 20:02:52,988] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0835009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0835018Z 2023-07-07T20:05:32.0835331Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0835803Z - self: 2023-07-07T20:05:32.0836155Z - node: fx.Node(unsqueeze_7[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0836337Z - aten_name: 2023-07-07T20:05:32.0836566Z - function_overloads: 2023-07-07T20:05:32.0836764Z - onnx_args: 2023-07-07T20:05:32.0836969Z - onnx_kwargs: 2023-07-07T20:05:32.0837494Z - diagnostic_context: 2023-07-07T20:05:32.0837771Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0838326Z [2023-07-07 20:02:52,996] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:32.0838584Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0838609Z 2023-07-07T20:05:32.0838927Z [2023-07-07 20:02:52,996] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0839276Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0839285Z 2023-07-07T20:05:32.0839599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0840118Z - self: 2023-07-07T20:05:32.0840552Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:32.0840751Z - aten_name: 2023-07-07T20:05:32.0840981Z - function_overloads: 2023-07-07T20:05:32.0841181Z - onnx_args: 2023-07-07T20:05:32.0841372Z - onnx_kwargs: 2023-07-07T20:05:32.0841903Z - diagnostic_context: 2023-07-07T20:05:32.0842267Z - Return value: 2023-07-07T20:05:32.0842836Z [2023-07-07 20:02:52,998] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:32.0843082Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0843095Z 2023-07-07T20:05:32.0843439Z [2023-07-07 20:02:52,998] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0843792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0843839Z 2023-07-07T20:05:32.0844161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0844733Z - self: 2023-07-07T20:05:32.0845095Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0845287Z - aten_name: 2023-07-07T20:05:32.0845517Z - function_overloads: 2023-07-07T20:05:32.0845716Z - onnx_args: 2023-07-07T20:05:32.0845916Z - onnx_kwargs: 2023-07-07T20:05:32.0846444Z - diagnostic_context: 2023-07-07T20:05:32.0846818Z - Return value: 2023-07-07T20:05:32.0847351Z [2023-07-07 20:02:53,001] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:32.0847625Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0847634Z 2023-07-07T20:05:32.0847977Z [2023-07-07 20:02:53,001] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0848321Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0848330Z 2023-07-07T20:05:32.0848642Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0849109Z - self: 2023-07-07T20:05:32.0849527Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0849721Z - aten_name: 2023-07-07T20:05:32.0849951Z - function_overloads: 2023-07-07T20:05:32.0850140Z - onnx_args: 2023-07-07T20:05:32.0850341Z - onnx_kwargs: 2023-07-07T20:05:32.0850871Z - diagnostic_context: 2023-07-07T20:05:32.0851176Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0851710Z [2023-07-07 20:02:53,003] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_3]. 2023-07-07T20:05:32.0851979Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0851991Z 2023-07-07T20:05:32.0852332Z [2023-07-07 20:02:53,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0852677Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0852686Z 2023-07-07T20:05:32.0853001Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0853512Z - self: 2023-07-07T20:05:32.0853938Z - node: fx.Node(convert_element_type_3[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0854136Z - aten_name: 2023-07-07T20:05:32.0854368Z - function_overloads: 2023-07-07T20:05:32.0854564Z - onnx_args: 2023-07-07T20:05:32.0854767Z - onnx_kwargs: 2023-07-07T20:05:32.0855296Z - diagnostic_context: 2023-07-07T20:05:32.0855641Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0856122Z [2023-07-07 20:02:53,007] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_1]. 2023-07-07T20:05:32.0856365Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0856374Z 2023-07-07T20:05:32.0856717Z [2023-07-07 20:02:53,007] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0857069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0857117Z 2023-07-07T20:05:32.0857434Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0857903Z - self: 2023-07-07T20:05:32.0858225Z - node: fx.Node(tensor_int_1[call_function]'aten.tensor.int') 2023-07-07T20:05:32.0858422Z - aten_name: 2023-07-07T20:05:32.0858642Z - function_overloads: 2023-07-07T20:05:32.0858839Z - onnx_args: 2023-07-07T20:05:32.0859047Z - onnx_kwargs: 2023-07-07T20:05:32.0859575Z - diagnostic_context: 2023-07-07T20:05:32.0859848Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.0860331Z [2023-07-07 20:02:53,012] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_8]. 2023-07-07T20:05:32.0860573Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0860584Z 2023-07-07T20:05:32.0860928Z [2023-07-07 20:02:53,012] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0861257Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0861268Z 2023-07-07T20:05:32.0861580Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0862047Z - self: 2023-07-07T20:05:32.0862406Z - node: fx.Node(unsqueeze_8[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0862601Z - aten_name: 2023-07-07T20:05:32.0862833Z - function_overloads: 2023-07-07T20:05:32.0863027Z - onnx_args: 2023-07-07T20:05:32.0863232Z - onnx_kwargs: 2023-07-07T20:05:32.0863746Z - diagnostic_context: 2023-07-07T20:05:32.0864020Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0864494Z [2023-07-07 20:02:53,013] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_9]. 2023-07-07T20:05:32.0864734Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0864743Z 2023-07-07T20:05:32.0865080Z [2023-07-07 20:02:53,013] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0865432Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0865440Z 2023-07-07T20:05:32.0865759Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0866227Z - self: 2023-07-07T20:05:32.0866621Z - node: fx.Node(unsqueeze_9[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0866807Z - aten_name: 2023-07-07T20:05:32.0867028Z - function_overloads: 2023-07-07T20:05:32.0867228Z - onnx_args: 2023-07-07T20:05:32.0867427Z - onnx_kwargs: 2023-07-07T20:05:32.0867959Z - diagnostic_context: 2023-07-07T20:05:32.0868231Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0868716Z [2023-07-07 20:02:53,014] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_10]. 2023-07-07T20:05:32.0869010Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0869019Z 2023-07-07T20:05:32.0869357Z [2023-07-07 20:02:53,014] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0869700Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0869712Z 2023-07-07T20:05:32.0870025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0870532Z - self: 2023-07-07T20:05:32.0870887Z - node: fx.Node(unsqueeze_10[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0871083Z - aten_name: 2023-07-07T20:05:32.0871313Z - function_overloads: 2023-07-07T20:05:32.0871495Z - onnx_args: 2023-07-07T20:05:32.0871698Z - onnx_kwargs: 2023-07-07T20:05:32.0872227Z - diagnostic_context: 2023-07-07T20:05:32.0872500Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0872978Z [2023-07-07 20:02:53,016] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_11]. 2023-07-07T20:05:32.0873218Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0873227Z 2023-07-07T20:05:32.0873567Z [2023-07-07 20:02:53,016] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0873917Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0873926Z 2023-07-07T20:05:32.0874240Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0874754Z - self: 2023-07-07T20:05:32.0875116Z - node: fx.Node(unsqueeze_11[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0875314Z - aten_name: 2023-07-07T20:05:32.0875541Z - function_overloads: 2023-07-07T20:05:32.0875738Z - onnx_args: 2023-07-07T20:05:32.0875941Z - onnx_kwargs: 2023-07-07T20:05:32.0876479Z - diagnostic_context: 2023-07-07T20:05:32.0876735Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0877216Z [2023-07-07 20:02:53,020] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_12]. 2023-07-07T20:05:32.0877456Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0877465Z 2023-07-07T20:05:32.0877804Z [2023-07-07 20:02:53,020] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0878150Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0878161Z 2023-07-07T20:05:32.0878485Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0878948Z - self: 2023-07-07T20:05:32.0879303Z - node: fx.Node(unsqueeze_12[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0879536Z - aten_name: 2023-07-07T20:05:32.0879753Z - function_overloads: 2023-07-07T20:05:32.0879956Z - onnx_args: 2023-07-07T20:05:32.0880161Z - onnx_kwargs: 2023-07-07T20:05:32.0880694Z - diagnostic_context: 2023-07-07T20:05:32.0880966Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0881445Z [2023-07-07 20:02:53,021] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_13]. 2023-07-07T20:05:32.0881686Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0881733Z 2023-07-07T20:05:32.0882119Z [2023-07-07 20:02:53,021] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0882451Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0882474Z 2023-07-07T20:05:32.0882776Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0883241Z - self: 2023-07-07T20:05:32.0883632Z - node: fx.Node(unsqueeze_13[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0883827Z - aten_name: 2023-07-07T20:05:32.0884051Z - function_overloads: 2023-07-07T20:05:32.0884252Z - onnx_args: 2023-07-07T20:05:32.0884559Z - onnx_kwargs: 2023-07-07T20:05:32.0885079Z - diagnostic_context: 2023-07-07T20:05:32.0885354Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0885835Z [2023-07-07 20:02:53,023] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_14]. 2023-07-07T20:05:32.0886076Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0886085Z 2023-07-07T20:05:32.0886430Z [2023-07-07 20:02:53,023] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0886775Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0886786Z 2023-07-07T20:05:32.0887103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0887571Z - self: 2023-07-07T20:05:32.0887926Z - node: fx.Node(unsqueeze_14[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0888112Z - aten_name: 2023-07-07T20:05:32.0888338Z - function_overloads: 2023-07-07T20:05:32.0888540Z - onnx_args: 2023-07-07T20:05:32.0888744Z - onnx_kwargs: 2023-07-07T20:05:32.0889273Z - diagnostic_context: 2023-07-07T20:05:32.0889544Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0890027Z [2023-07-07 20:02:53,024] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_15]. 2023-07-07T20:05:32.0890251Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0890276Z 2023-07-07T20:05:32.0890603Z [2023-07-07 20:02:53,025] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0890950Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0890958Z 2023-07-07T20:05:32.0891269Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0891740Z - self: 2023-07-07T20:05:32.0892093Z - node: fx.Node(unsqueeze_15[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0892288Z - aten_name: 2023-07-07T20:05:32.0892518Z - function_overloads: 2023-07-07T20:05:32.0892778Z - onnx_args: 2023-07-07T20:05:32.0892967Z - onnx_kwargs: 2023-07-07T20:05:32.0893493Z - diagnostic_context: 2023-07-07T20:05:32.0893766Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0894254Z [2023-07-07 20:02:53,032] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:32.0894501Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0894510Z 2023-07-07T20:05:32.0894895Z [2023-07-07 20:02:53,032] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0895284Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0895293Z 2023-07-07T20:05:32.0895605Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0896059Z - self: 2023-07-07T20:05:32.0896427Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0896662Z - aten_name: 2023-07-07T20:05:32.0896892Z - function_overloads: 2023-07-07T20:05:32.0897092Z - onnx_args: 2023-07-07T20:05:32.0897312Z - onnx_kwargs: 2023-07-07T20:05:32.0897841Z - diagnostic_context: 2023-07-07T20:05:32.0898211Z - Return value: 2023-07-07T20:05:32.0898740Z [2023-07-07 20:02:53,035] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_4]. 2023-07-07T20:05:32.0899011Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0899020Z 2023-07-07T20:05:32.0899363Z [2023-07-07 20:02:53,035] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0899706Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0899718Z 2023-07-07T20:05:32.0900032Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0900495Z - self: 2023-07-07T20:05:32.0900915Z - node: fx.Node(convert_element_type_4[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0901109Z - aten_name: 2023-07-07T20:05:32.0901339Z - function_overloads: 2023-07-07T20:05:32.0901523Z - onnx_args: 2023-07-07T20:05:32.0901722Z - onnx_kwargs: 2023-07-07T20:05:32.0902248Z - diagnostic_context: 2023-07-07T20:05:32.0902565Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0903108Z [2023-07-07 20:02:53,037] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_5]. 2023-07-07T20:05:32.0903381Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0903389Z 2023-07-07T20:05:32.0903734Z [2023-07-07 20:02:53,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0904073Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0904082Z 2023-07-07T20:05:32.0904379Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0904851Z - self: 2023-07-07T20:05:32.0905273Z - node: fx.Node(convert_element_type_5[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0905471Z - aten_name: 2023-07-07T20:05:32.0905698Z - function_overloads: 2023-07-07T20:05:32.0905943Z - onnx_args: 2023-07-07T20:05:32.0906145Z - onnx_kwargs: 2023-07-07T20:05:32.0906673Z - diagnostic_context: 2023-07-07T20:05:32.0906980Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0907419Z [2023-07-07 20:02:53,042] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_2]. 2023-07-07T20:05:32.0907658Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0907705Z 2023-07-07T20:05:32.0908043Z [2023-07-07 20:02:53,042] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0908420Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0908431Z 2023-07-07T20:05:32.0908745Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0909218Z - self: 2023-07-07T20:05:32.0909577Z - node: fx.Node(tensor_int_2[call_function]'aten.tensor.int') 2023-07-07T20:05:32.0909768Z - aten_name: 2023-07-07T20:05:32.0909978Z - function_overloads: 2023-07-07T20:05:32.0910179Z - onnx_args: 2023-07-07T20:05:32.0910379Z - onnx_kwargs: 2023-07-07T20:05:32.0910903Z - diagnostic_context: 2023-07-07T20:05:32.0911176Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.0911662Z [2023-07-07 20:02:53,047] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_16]. 2023-07-07T20:05:32.0911905Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0911916Z 2023-07-07T20:05:32.0912240Z [2023-07-07 20:02:53,047] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0912591Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0912602Z 2023-07-07T20:05:32.0912913Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0913380Z - self: 2023-07-07T20:05:32.0913739Z - node: fx.Node(unsqueeze_16[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0913931Z - aten_name: 2023-07-07T20:05:32.0914162Z - function_overloads: 2023-07-07T20:05:32.0914365Z - onnx_args: 2023-07-07T20:05:32.0914557Z - onnx_kwargs: 2023-07-07T20:05:32.0915186Z - diagnostic_context: 2023-07-07T20:05:32.0915463Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0915948Z [2023-07-07 20:02:53,048] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_17]. 2023-07-07T20:05:32.0916188Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0916200Z 2023-07-07T20:05:32.0916545Z [2023-07-07 20:02:53,048] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0916897Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0916905Z 2023-07-07T20:05:32.0917219Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0917684Z - self: 2023-07-07T20:05:32.0918031Z - node: fx.Node(unsqueeze_17[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0918231Z - aten_name: 2023-07-07T20:05:32.0918458Z - function_overloads: 2023-07-07T20:05:32.0918659Z - onnx_args: 2023-07-07T20:05:32.0918857Z - onnx_kwargs: 2023-07-07T20:05:32.0919430Z - diagnostic_context: 2023-07-07T20:05:32.0919708Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0920181Z [2023-07-07 20:02:53,049] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_18]. 2023-07-07T20:05:32.0920410Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0920418Z 2023-07-07T20:05:32.0920756Z [2023-07-07 20:02:53,049] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0921162Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0921171Z 2023-07-07T20:05:32.0921523Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0921989Z - self: 2023-07-07T20:05:32.0922352Z - node: fx.Node(unsqueeze_18[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0922549Z - aten_name: 2023-07-07T20:05:32.0922807Z - function_overloads: 2023-07-07T20:05:32.0922989Z - onnx_args: 2023-07-07T20:05:32.0923194Z - onnx_kwargs: 2023-07-07T20:05:32.0923731Z - diagnostic_context: 2023-07-07T20:05:32.0924002Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0924578Z [2023-07-07 20:02:53,050] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_19]. 2023-07-07T20:05:32.0924823Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0924835Z 2023-07-07T20:05:32.0925182Z [2023-07-07 20:02:53,051] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0925530Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0925539Z 2023-07-07T20:05:32.0925855Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0926310Z - self: 2023-07-07T20:05:32.0926662Z - node: fx.Node(unsqueeze_19[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0926856Z - aten_name: 2023-07-07T20:05:32.0927083Z - function_overloads: 2023-07-07T20:05:32.0927282Z - onnx_args: 2023-07-07T20:05:32.0927481Z - onnx_kwargs: 2023-07-07T20:05:32.0928016Z - diagnostic_context: 2023-07-07T20:05:32.0928274Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0928755Z [2023-07-07 20:02:53,055] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_20]. 2023-07-07T20:05:32.0928996Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0929006Z 2023-07-07T20:05:32.0929344Z [2023-07-07 20:02:53,055] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0929690Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0929699Z 2023-07-07T20:05:32.0930014Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0930474Z - self: 2023-07-07T20:05:32.0930836Z - node: fx.Node(unsqueeze_20[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0931024Z - aten_name: 2023-07-07T20:05:32.0931240Z - function_overloads: 2023-07-07T20:05:32.0931438Z - onnx_args: 2023-07-07T20:05:32.0931641Z - onnx_kwargs: 2023-07-07T20:05:32.0932168Z - diagnostic_context: 2023-07-07T20:05:32.0932522Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0933010Z [2023-07-07 20:02:53,056] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_21]. 2023-07-07T20:05:32.0933248Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0933256Z 2023-07-07T20:05:32.0933597Z [2023-07-07 20:02:53,056] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0933929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0933982Z 2023-07-07T20:05:32.0934295Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0934815Z - self: 2023-07-07T20:05:32.0935172Z - node: fx.Node(unsqueeze_21[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0935369Z - aten_name: 2023-07-07T20:05:32.0935596Z - function_overloads: 2023-07-07T20:05:32.0935796Z - onnx_args: 2023-07-07T20:05:32.0936040Z - onnx_kwargs: 2023-07-07T20:05:32.0936562Z - diagnostic_context: 2023-07-07T20:05:32.0936831Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0937309Z [2023-07-07 20:02:53,059] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_22]. 2023-07-07T20:05:32.0937551Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0937562Z 2023-07-07T20:05:32.0937905Z [2023-07-07 20:02:53,059] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0938252Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0938260Z 2023-07-07T20:05:32.0938574Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0939039Z - self: 2023-07-07T20:05:32.0939392Z - node: fx.Node(unsqueeze_22[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0939568Z - aten_name: 2023-07-07T20:05:32.0939799Z - function_overloads: 2023-07-07T20:05:32.0939995Z - onnx_args: 2023-07-07T20:05:32.0940197Z - onnx_kwargs: 2023-07-07T20:05:32.0940725Z - diagnostic_context: 2023-07-07T20:05:32.0941001Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0941478Z [2023-07-07 20:02:53,060] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_23]. 2023-07-07T20:05:32.0941706Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0941715Z 2023-07-07T20:05:32.0942048Z [2023-07-07 20:02:53,060] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0942397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0942408Z 2023-07-07T20:05:32.0942720Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0943183Z - self: 2023-07-07T20:05:32.0943534Z - node: fx.Node(unsqueeze_23[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0943726Z - aten_name: 2023-07-07T20:05:32.0943959Z - function_overloads: 2023-07-07T20:05:32.0944143Z - onnx_args: 2023-07-07T20:05:32.0944346Z - onnx_kwargs: 2023-07-07T20:05:32.0944873Z - diagnostic_context: 2023-07-07T20:05:32.0945144Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0945679Z [2023-07-07 20:02:53,068] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:32.0945930Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0945938Z 2023-07-07T20:05:32.0946277Z [2023-07-07 20:02:53,068] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0946617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0946626Z 2023-07-07T20:05:32.0946933Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0947416Z - self: 2023-07-07T20:05:32.0947822Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0948018Z - aten_name: 2023-07-07T20:05:32.0948249Z - function_overloads: 2023-07-07T20:05:32.0948444Z - onnx_args: 2023-07-07T20:05:32.0948648Z - onnx_kwargs: 2023-07-07T20:05:32.0949181Z - diagnostic_context: 2023-07-07T20:05:32.0949565Z - Return value: 2023-07-07T20:05:32.0950114Z [2023-07-07 20:02:53,072] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_6]. 2023-07-07T20:05:32.0950381Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0950392Z 2023-07-07T20:05:32.0950732Z [2023-07-07 20:02:53,072] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0951078Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0951089Z 2023-07-07T20:05:32.0951398Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0951861Z - self: 2023-07-07T20:05:32.0952284Z - node: fx.Node(convert_element_type_6[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0952482Z - aten_name: 2023-07-07T20:05:32.0952696Z - function_overloads: 2023-07-07T20:05:32.0952890Z - onnx_args: 2023-07-07T20:05:32.0953090Z - onnx_kwargs: 2023-07-07T20:05:32.0953615Z - diagnostic_context: 2023-07-07T20:05:32.0953938Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0954483Z [2023-07-07 20:02:53,073] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_7]. 2023-07-07T20:05:32.0954831Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0954840Z 2023-07-07T20:05:32.0955182Z [2023-07-07 20:02:53,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0955525Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0955536Z 2023-07-07T20:05:32.0955844Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0956307Z - self: 2023-07-07T20:05:32.0956725Z - node: fx.Node(convert_element_type_7[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.0956925Z - aten_name: 2023-07-07T20:05:32.0957151Z - function_overloads: 2023-07-07T20:05:32.0957353Z - onnx_args: 2023-07-07T20:05:32.0957557Z - onnx_kwargs: 2023-07-07T20:05:32.0958079Z - diagnostic_context: 2023-07-07T20:05:32.0958397Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.0958880Z [2023-07-07 20:02:53,079] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_3]. 2023-07-07T20:05:32.0959127Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0959136Z 2023-07-07T20:05:32.0959473Z [2023-07-07 20:02:53,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0959817Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0959826Z 2023-07-07T20:05:32.0960138Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0960666Z - self: 2023-07-07T20:05:32.0960986Z - node: fx.Node(tensor_int_3[call_function]'aten.tensor.int') 2023-07-07T20:05:32.0961167Z - aten_name: 2023-07-07T20:05:32.0961394Z - function_overloads: 2023-07-07T20:05:32.0961595Z - onnx_args: 2023-07-07T20:05:32.0961801Z - onnx_kwargs: 2023-07-07T20:05:32.0962363Z - diagnostic_context: 2023-07-07T20:05:32.0962634Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.0963118Z [2023-07-07 20:02:53,086] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_24]. 2023-07-07T20:05:32.0963359Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0963367Z 2023-07-07T20:05:32.0963690Z [2023-07-07 20:02:53,086] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0964039Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0964047Z 2023-07-07T20:05:32.0964359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0964935Z - self: 2023-07-07T20:05:32.0965296Z - node: fx.Node(unsqueeze_24[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0965491Z - aten_name: 2023-07-07T20:05:32.0965723Z - function_overloads: 2023-07-07T20:05:32.0965918Z - onnx_args: 2023-07-07T20:05:32.0966100Z - onnx_kwargs: 2023-07-07T20:05:32.0966629Z - diagnostic_context: 2023-07-07T20:05:32.0966901Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0967386Z [2023-07-07 20:02:53,087] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_25]. 2023-07-07T20:05:32.0967633Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0967642Z 2023-07-07T20:05:32.0967981Z [2023-07-07 20:02:53,087] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0968330Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0968341Z 2023-07-07T20:05:32.0968655Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0969118Z - self: 2023-07-07T20:05:32.0969457Z - node: fx.Node(unsqueeze_25[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0969650Z - aten_name: 2023-07-07T20:05:32.0969883Z - function_overloads: 2023-07-07T20:05:32.0970086Z - onnx_args: 2023-07-07T20:05:32.0970288Z - onnx_kwargs: 2023-07-07T20:05:32.0970822Z - diagnostic_context: 2023-07-07T20:05:32.0971093Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0971554Z [2023-07-07 20:02:53,088] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_26]. 2023-07-07T20:05:32.0971870Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0971882Z 2023-07-07T20:05:32.0972228Z [2023-07-07 20:02:53,089] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0972579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0972588Z 2023-07-07T20:05:32.0972904Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0973365Z - self: 2023-07-07T20:05:32.0973764Z - node: fx.Node(unsqueeze_26[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0974019Z - aten_name: 2023-07-07T20:05:32.0974249Z - function_overloads: 2023-07-07T20:05:32.0974432Z - onnx_args: 2023-07-07T20:05:32.0974632Z - onnx_kwargs: 2023-07-07T20:05:32.0975157Z - diagnostic_context: 2023-07-07T20:05:32.0975473Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0975941Z [2023-07-07 20:02:53,090] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_27]. 2023-07-07T20:05:32.0976181Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0976189Z 2023-07-07T20:05:32.0976531Z [2023-07-07 20:02:53,090] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0976874Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0976886Z 2023-07-07T20:05:32.0977185Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0977651Z - self: 2023-07-07T20:05:32.0978005Z - node: fx.Node(unsqueeze_27[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0978199Z - aten_name: 2023-07-07T20:05:32.0978432Z - function_overloads: 2023-07-07T20:05:32.0978632Z - onnx_args: 2023-07-07T20:05:32.0978832Z - onnx_kwargs: 2023-07-07T20:05:32.0979357Z - diagnostic_context: 2023-07-07T20:05:32.0979611Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0980101Z [2023-07-07 20:02:53,095] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_28]. 2023-07-07T20:05:32.0980344Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0980353Z 2023-07-07T20:05:32.0980691Z [2023-07-07 20:02:53,095] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0981040Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0981049Z 2023-07-07T20:05:32.0981364Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0981837Z - self: 2023-07-07T20:05:32.0982190Z - node: fx.Node(unsqueeze_28[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0982386Z - aten_name: 2023-07-07T20:05:32.0982600Z - function_overloads: 2023-07-07T20:05:32.0982795Z - onnx_args: 2023-07-07T20:05:32.0982999Z - onnx_kwargs: 2023-07-07T20:05:32.0983528Z - diagnostic_context: 2023-07-07T20:05:32.0983799Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0984273Z [2023-07-07 20:02:53,097] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_29]. 2023-07-07T20:05:32.0984512Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0984521Z 2023-07-07T20:05:32.0984878Z [2023-07-07 20:02:53,097] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0985229Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0985238Z 2023-07-07T20:05:32.0985550Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0986012Z - self: 2023-07-07T20:05:32.0986369Z - node: fx.Node(unsqueeze_29[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0986596Z - aten_name: 2023-07-07T20:05:32.0986829Z - function_overloads: 2023-07-07T20:05:32.0987066Z - onnx_args: 2023-07-07T20:05:32.0987255Z - onnx_kwargs: 2023-07-07T20:05:32.0987780Z - diagnostic_context: 2023-07-07T20:05:32.0988056Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0988541Z [2023-07-07 20:02:53,100] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_30]. 2023-07-07T20:05:32.0988826Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0988835Z 2023-07-07T20:05:32.0989173Z [2023-07-07 20:02:53,100] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0989526Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0989537Z 2023-07-07T20:05:32.0989856Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0990322Z - self: 2023-07-07T20:05:32.0990664Z - node: fx.Node(unsqueeze_30[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0990856Z - aten_name: 2023-07-07T20:05:32.0991083Z - function_overloads: 2023-07-07T20:05:32.0991285Z - onnx_args: 2023-07-07T20:05:32.0991486Z - onnx_kwargs: 2023-07-07T20:05:32.0992017Z - diagnostic_context: 2023-07-07T20:05:32.0992285Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0992763Z [2023-07-07 20:02:53,101] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_31]. 2023-07-07T20:05:32.0992990Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0993001Z 2023-07-07T20:05:32.0993339Z [2023-07-07 20:02:53,101] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0993686Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0993695Z 2023-07-07T20:05:32.0994006Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0994477Z - self: 2023-07-07T20:05:32.0994896Z - node: fx.Node(unsqueeze_31[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.0995093Z - aten_name: 2023-07-07T20:05:32.0995322Z - function_overloads: 2023-07-07T20:05:32.0995504Z - onnx_args: 2023-07-07T20:05:32.0995700Z - onnx_kwargs: 2023-07-07T20:05:32.0996232Z - diagnostic_context: 2023-07-07T20:05:32.0996504Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.0997000Z [2023-07-07 20:02:53,108] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:32.0997249Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.0997259Z 2023-07-07T20:05:32.0997600Z [2023-07-07 20:02:53,108] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.0997993Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.0998005Z 2023-07-07T20:05:32.0998320Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.0998781Z - self: 2023-07-07T20:05:32.0999148Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:32.0999340Z - aten_name: 2023-07-07T20:05:32.0999599Z - function_overloads: 2023-07-07T20:05:32.0999795Z - onnx_args: 2023-07-07T20:05:32.1000031Z - onnx_kwargs: 2023-07-07T20:05:32.1000564Z - diagnostic_context: 2023-07-07T20:05:32.1000917Z - Return value: 2023-07-07T20:05:32.1001466Z [2023-07-07 20:02:53,112] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_8]. 2023-07-07T20:05:32.1001767Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1001775Z 2023-07-07T20:05:32.1002118Z [2023-07-07 20:02:53,112] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1002468Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1002478Z 2023-07-07T20:05:32.1002793Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1003266Z - self: 2023-07-07T20:05:32.1003680Z - node: fx.Node(convert_element_type_8[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1003878Z - aten_name: 2023-07-07T20:05:32.1004090Z - function_overloads: 2023-07-07T20:05:32.1004291Z - onnx_args: 2023-07-07T20:05:32.1004593Z - onnx_kwargs: 2023-07-07T20:05:32.1005130Z - diagnostic_context: 2023-07-07T20:05:32.1005451Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1005993Z [2023-07-07 20:02:53,113] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_9]. 2023-07-07T20:05:32.1006267Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1006278Z 2023-07-07T20:05:32.1006618Z [2023-07-07 20:02:53,113] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1006950Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1006978Z 2023-07-07T20:05:32.1007279Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1007749Z - self: 2023-07-07T20:05:32.1008173Z - node: fx.Node(convert_element_type_9[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1008368Z - aten_name: 2023-07-07T20:05:32.1008596Z - function_overloads: 2023-07-07T20:05:32.1008797Z - onnx_args: 2023-07-07T20:05:32.1008999Z - onnx_kwargs: 2023-07-07T20:05:32.1009508Z - diagnostic_context: 2023-07-07T20:05:32.1009830Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1010282Z [2023-07-07 20:02:53,117] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_4]. 2023-07-07T20:05:32.1010523Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1010532Z 2023-07-07T20:05:32.1010870Z [2023-07-07 20:02:53,117] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1011274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1011287Z 2023-07-07T20:05:32.1011601Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1012070Z - self: 2023-07-07T20:05:32.1012388Z - node: fx.Node(tensor_int_4[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1012569Z - aten_name: 2023-07-07T20:05:32.1012838Z - function_overloads: 2023-07-07T20:05:32.1013034Z - onnx_args: 2023-07-07T20:05:32.1013277Z - onnx_kwargs: 2023-07-07T20:05:32.1013805Z - diagnostic_context: 2023-07-07T20:05:32.1014080Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1014562Z [2023-07-07 20:02:53,122] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_32]. 2023-07-07T20:05:32.1014846Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1014855Z 2023-07-07T20:05:32.1015173Z [2023-07-07 20:02:53,122] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1015518Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1015527Z 2023-07-07T20:05:32.1015845Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1016317Z - self: 2023-07-07T20:05:32.1016680Z - node: fx.Node(unsqueeze_32[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1016874Z - aten_name: 2023-07-07T20:05:32.1017103Z - function_overloads: 2023-07-07T20:05:32.1017299Z - onnx_args: 2023-07-07T20:05:32.1017491Z - onnx_kwargs: 2023-07-07T20:05:32.1018012Z - diagnostic_context: 2023-07-07T20:05:32.1018285Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1018764Z [2023-07-07 20:02:53,123] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_33]. 2023-07-07T20:05:32.1019002Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1019011Z 2023-07-07T20:05:32.1019349Z [2023-07-07 20:02:53,123] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1019701Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1019710Z 2023-07-07T20:05:32.1020023Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1020485Z - self: 2023-07-07T20:05:32.1020827Z - node: fx.Node(unsqueeze_33[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1021023Z - aten_name: 2023-07-07T20:05:32.1021252Z - function_overloads: 2023-07-07T20:05:32.1021450Z - onnx_args: 2023-07-07T20:05:32.1021650Z - onnx_kwargs: 2023-07-07T20:05:32.1022177Z - diagnostic_context: 2023-07-07T20:05:32.1022452Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1022917Z [2023-07-07 20:02:53,124] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_34]. 2023-07-07T20:05:32.1023167Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1023175Z 2023-07-07T20:05:32.1023514Z [2023-07-07 20:02:53,124] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1023937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1023947Z 2023-07-07T20:05:32.1024266Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1024727Z - self: 2023-07-07T20:05:32.1025084Z - node: fx.Node(unsqueeze_34[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1025281Z - aten_name: 2023-07-07T20:05:32.1025513Z - function_overloads: 2023-07-07T20:05:32.1025698Z - onnx_args: 2023-07-07T20:05:32.1025938Z - onnx_kwargs: 2023-07-07T20:05:32.1026501Z - diagnostic_context: 2023-07-07T20:05:32.1026772Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1027250Z [2023-07-07 20:02:53,125] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_35]. 2023-07-07T20:05:32.1027496Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1027850Z 2023-07-07T20:05:32.1028212Z [2023-07-07 20:02:53,126] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1028842Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1029229Z 2023-07-07T20:05:32.1029548Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1030374Z - self: 2023-07-07T20:05:32.1031117Z - node: fx.Node(unsqueeze_35[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1031616Z - aten_name: 2023-07-07T20:05:32.1032044Z - function_overloads: 2023-07-07T20:05:32.1032457Z - onnx_args: 2023-07-07T20:05:32.1032867Z - onnx_kwargs: 2023-07-07T20:05:32.1033601Z - diagnostic_context: 2023-07-07T20:05:32.1034321Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1035108Z [2023-07-07 20:02:53,130] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_36]. 2023-07-07T20:05:32.1035708Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1036005Z 2023-07-07T20:05:32.1036352Z [2023-07-07 20:02:53,130] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1036973Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1037349Z 2023-07-07T20:05:32.1037680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1038539Z - self: 2023-07-07T20:05:32.1039282Z - node: fx.Node(unsqueeze_36[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1039784Z - aten_name: 2023-07-07T20:05:32.1040197Z - function_overloads: 2023-07-07T20:05:32.1040623Z - onnx_args: 2023-07-07T20:05:32.1041024Z - onnx_kwargs: 2023-07-07T20:05:32.1041750Z - diagnostic_context: 2023-07-07T20:05:32.1042465Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1043196Z [2023-07-07 20:02:53,131] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_37]. 2023-07-07T20:05:32.1043780Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1044074Z 2023-07-07T20:05:32.1044517Z [2023-07-07 20:02:53,131] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1045145Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1045528Z 2023-07-07T20:05:32.1045918Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1046737Z - self: 2023-07-07T20:05:32.1047483Z - node: fx.Node(unsqueeze_37[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1047972Z - aten_name: 2023-07-07T20:05:32.1048382Z - function_overloads: 2023-07-07T20:05:32.1048811Z - onnx_args: 2023-07-07T20:05:32.1049211Z - onnx_kwargs: 2023-07-07T20:05:32.1049952Z - diagnostic_context: 2023-07-07T20:05:32.1050703Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1051495Z [2023-07-07 20:02:53,134] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_38]. 2023-07-07T20:05:32.1052094Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1052387Z 2023-07-07T20:05:32.1052720Z [2023-07-07 20:02:53,134] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1053387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1053764Z 2023-07-07T20:05:32.1054081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1054906Z - self: 2023-07-07T20:05:32.1055636Z - node: fx.Node(unsqueeze_38[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1056145Z - aten_name: 2023-07-07T20:05:32.1056573Z - function_overloads: 2023-07-07T20:05:32.1056992Z - onnx_args: 2023-07-07T20:05:32.1057390Z - onnx_kwargs: 2023-07-07T20:05:32.1058120Z - diagnostic_context: 2023-07-07T20:05:32.1058818Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1059546Z [2023-07-07 20:02:53,135] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_39]. 2023-07-07T20:05:32.1060150Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1060445Z 2023-07-07T20:05:32.1060786Z [2023-07-07 20:02:53,135] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1061390Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1061775Z 2023-07-07T20:05:32.1062089Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1062912Z - self: 2023-07-07T20:05:32.1063647Z - node: fx.Node(unsqueeze_39[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1064132Z - aten_name: 2023-07-07T20:05:32.1064572Z - function_overloads: 2023-07-07T20:05:32.1064992Z - onnx_args: 2023-07-07T20:05:32.1065383Z - onnx_kwargs: 2023-07-07T20:05:32.1066140Z - diagnostic_context: 2023-07-07T20:05:32.1066849Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1067587Z [2023-07-07 20:02:53,142] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:32.1068204Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1068506Z 2023-07-07T20:05:32.1068854Z [2023-07-07 20:02:53,143] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1069472Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1069858Z 2023-07-07T20:05:32.1070161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1071030Z - self: 2023-07-07T20:05:32.1071792Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1072295Z - aten_name: 2023-07-07T20:05:32.1072708Z - function_overloads: 2023-07-07T20:05:32.1073132Z - onnx_args: 2023-07-07T20:05:32.1073537Z - onnx_kwargs: 2023-07-07T20:05:32.1074269Z - diagnostic_context: 2023-07-07T20:05:32.1075139Z - Return value: 2023-07-07T20:05:32.1076086Z [2023-07-07 20:02:53,146] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_10]. 2023-07-07T20:05:32.1076740Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1077066Z 2023-07-07T20:05:32.1077410Z [2023-07-07 20:02:53,146] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1078024Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1078447Z 2023-07-07T20:05:32.1078763Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1079564Z - self: 2023-07-07T20:05:32.1080371Z - node: fx.Node(convert_element_type_10[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1080898Z - aten_name: 2023-07-07T20:05:32.1081332Z - function_overloads: 2023-07-07T20:05:32.1081748Z - onnx_args: 2023-07-07T20:05:32.1082153Z - onnx_kwargs: 2023-07-07T20:05:32.1082895Z - diagnostic_context: 2023-07-07T20:05:32.1083637Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1084577Z [2023-07-07 20:02:53,147] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_11]. 2023-07-07T20:05:32.1085248Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1085571Z 2023-07-07T20:05:32.1085906Z [2023-07-07 20:02:53,148] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1086521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1086914Z 2023-07-07T20:05:32.1087236Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1088062Z - self: 2023-07-07T20:05:32.1088856Z - node: fx.Node(convert_element_type_11[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1089384Z - aten_name: 2023-07-07T20:05:32.1089815Z - function_overloads: 2023-07-07T20:05:32.1090227Z - onnx_args: 2023-07-07T20:05:32.1090632Z - onnx_kwargs: 2023-07-07T20:05:32.1091376Z - diagnostic_context: 2023-07-07T20:05:32.1092142Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1092857Z [2023-07-07 20:02:53,152] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_5]. 2023-07-07T20:05:32.1093439Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1093736Z 2023-07-07T20:05:32.1094078Z [2023-07-07 20:02:53,152] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1094688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1095071Z 2023-07-07T20:05:32.1095383Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1096325Z - self: 2023-07-07T20:05:32.1097068Z - node: fx.Node(tensor_int_5[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1097545Z - aten_name: 2023-07-07T20:05:32.1097979Z - function_overloads: 2023-07-07T20:05:32.1098401Z - onnx_args: 2023-07-07T20:05:32.1098796Z - onnx_kwargs: 2023-07-07T20:05:32.1099550Z - diagnostic_context: 2023-07-07T20:05:32.1100339Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1101159Z [2023-07-07 20:02:53,157] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_40]. 2023-07-07T20:05:32.1101760Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1102060Z 2023-07-07T20:05:32.1102399Z [2023-07-07 20:02:53,157] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1103024Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1103469Z 2023-07-07T20:05:32.1103770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1104586Z - self: 2023-07-07T20:05:32.1105330Z - node: fx.Node(unsqueeze_40[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1105817Z - aten_name: 2023-07-07T20:05:32.1106228Z - function_overloads: 2023-07-07T20:05:32.1106654Z - onnx_args: 2023-07-07T20:05:32.1107063Z - onnx_kwargs: 2023-07-07T20:05:32.1107799Z - diagnostic_context: 2023-07-07T20:05:32.1108508Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1109239Z [2023-07-07 20:02:53,158] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_41]. 2023-07-07T20:05:32.1109826Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1110122Z 2023-07-07T20:05:32.1110462Z [2023-07-07 20:02:53,158] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1111081Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1111464Z 2023-07-07T20:05:32.1111786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1112603Z - self: 2023-07-07T20:05:32.1113358Z - node: fx.Node(unsqueeze_41[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1113851Z - aten_name: 2023-07-07T20:05:32.1114282Z - function_overloads: 2023-07-07T20:05:32.1114749Z - onnx_args: 2023-07-07T20:05:32.1115156Z - onnx_kwargs: 2023-07-07T20:05:32.1115891Z - diagnostic_context: 2023-07-07T20:05:32.1116597Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1117330Z [2023-07-07 20:02:53,160] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_42]. 2023-07-07T20:05:32.1117929Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1118224Z 2023-07-07T20:05:32.1118554Z [2023-07-07 20:02:53,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1119180Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1119577Z 2023-07-07T20:05:32.1119895Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1120720Z - self: 2023-07-07T20:05:32.1121524Z - node: fx.Node(unsqueeze_42[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1122019Z - aten_name: 2023-07-07T20:05:32.1122449Z - function_overloads: 2023-07-07T20:05:32.1122855Z - onnx_args: 2023-07-07T20:05:32.1123256Z - onnx_kwargs: 2023-07-07T20:05:32.1123990Z - diagnostic_context: 2023-07-07T20:05:32.1124813Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1125536Z [2023-07-07 20:02:53,161] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_43]. 2023-07-07T20:05:32.1126239Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1126534Z 2023-07-07T20:05:32.1126879Z [2023-07-07 20:02:53,161] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1127476Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1127866Z 2023-07-07T20:05:32.1128178Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1129051Z - self: 2023-07-07T20:05:32.1129810Z - node: fx.Node(unsqueeze_43[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1130286Z - aten_name: 2023-07-07T20:05:32.1130716Z - function_overloads: 2023-07-07T20:05:32.1131136Z - onnx_args: 2023-07-07T20:05:32.1131532Z - onnx_kwargs: 2023-07-07T20:05:32.1132267Z - diagnostic_context: 2023-07-07T20:05:32.1132977Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1133696Z [2023-07-07 20:02:53,165] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_44]. 2023-07-07T20:05:32.1134287Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1134585Z 2023-07-07T20:05:32.1134927Z [2023-07-07 20:02:53,165] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1135537Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1135922Z 2023-07-07T20:05:32.1136231Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1137046Z - self: 2023-07-07T20:05:32.1137787Z - node: fx.Node(unsqueeze_44[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1148605Z - aten_name: 2023-07-07T20:05:32.1149061Z - function_overloads: 2023-07-07T20:05:32.1149499Z - onnx_args: 2023-07-07T20:05:32.1149909Z - onnx_kwargs: 2023-07-07T20:05:32.1150634Z - diagnostic_context: 2023-07-07T20:05:32.1151361Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1152113Z [2023-07-07 20:02:53,166] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_45]. 2023-07-07T20:05:32.1152700Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1153006Z 2023-07-07T20:05:32.1153351Z [2023-07-07 20:02:53,166] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1153971Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1154356Z 2023-07-07T20:05:32.1154770Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1155594Z - self: 2023-07-07T20:05:32.1156338Z - node: fx.Node(unsqueeze_45[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1156838Z - aten_name: 2023-07-07T20:05:32.1157444Z - function_overloads: 2023-07-07T20:05:32.1157859Z - onnx_args: 2023-07-07T20:05:32.1158268Z - onnx_kwargs: 2023-07-07T20:05:32.1159001Z - diagnostic_context: 2023-07-07T20:05:32.1159698Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1160425Z [2023-07-07 20:02:53,169] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_46]. 2023-07-07T20:05:32.1161025Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1161362Z 2023-07-07T20:05:32.1161730Z [2023-07-07 20:02:53,169] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1162354Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1162740Z 2023-07-07T20:05:32.1163061Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1163886Z - self: 2023-07-07T20:05:32.1164767Z - node: fx.Node(unsqueeze_46[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1165264Z - aten_name: 2023-07-07T20:05:32.1165701Z - function_overloads: 2023-07-07T20:05:32.1166114Z - onnx_args: 2023-07-07T20:05:32.1166523Z - onnx_kwargs: 2023-07-07T20:05:32.1167270Z - diagnostic_context: 2023-07-07T20:05:32.1167991Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1168714Z [2023-07-07 20:02:53,170] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_47]. 2023-07-07T20:05:32.1169316Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1169613Z 2023-07-07T20:05:32.1169958Z [2023-07-07 20:02:53,170] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1170563Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1170951Z 2023-07-07T20:05:32.1171265Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1172089Z - self: 2023-07-07T20:05:32.1172831Z - node: fx.Node(unsqueeze_47[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1173309Z - aten_name: 2023-07-07T20:05:32.1173742Z - function_overloads: 2023-07-07T20:05:32.1174167Z - onnx_args: 2023-07-07T20:05:32.1174557Z - onnx_kwargs: 2023-07-07T20:05:32.1175293Z - diagnostic_context: 2023-07-07T20:05:32.1176006Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1176740Z [2023-07-07 20:02:53,177] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:32.1177360Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1177664Z 2023-07-07T20:05:32.1178004Z [2023-07-07 20:02:53,177] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1178622Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1179002Z 2023-07-07T20:05:32.1179307Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1180132Z - self: 2023-07-07T20:05:32.1180891Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1181395Z - aten_name: 2023-07-07T20:05:32.1181808Z - function_overloads: 2023-07-07T20:05:32.1182231Z - onnx_args: 2023-07-07T20:05:32.1182700Z - onnx_kwargs: 2023-07-07T20:05:32.1183432Z - diagnostic_context: 2023-07-07T20:05:32.1184237Z - Return value: 2023-07-07T20:05:32.1185115Z [2023-07-07 20:02:53,181] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_12]. 2023-07-07T20:05:32.1185771Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1186145Z 2023-07-07T20:05:32.1186492Z [2023-07-07 20:02:53,181] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1187150Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1187541Z 2023-07-07T20:05:32.1187858Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1188678Z - self: 2023-07-07T20:05:32.1189539Z - node: fx.Node(convert_element_type_12[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1190074Z - aten_name: 2023-07-07T20:05:32.1190506Z - function_overloads: 2023-07-07T20:05:32.1190914Z - onnx_args: 2023-07-07T20:05:32.1191319Z - onnx_kwargs: 2023-07-07T20:05:32.1192054Z - diagnostic_context: 2023-07-07T20:05:32.1192799Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1193618Z [2023-07-07 20:02:53,182] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_13]. 2023-07-07T20:05:32.1194267Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1194595Z 2023-07-07T20:05:32.1195018Z [2023-07-07 20:02:53,182] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1195628Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1196019Z 2023-07-07T20:05:32.1196368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1197181Z - self: 2023-07-07T20:05:32.1197993Z - node: fx.Node(convert_element_type_13[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1198526Z - aten_name: 2023-07-07T20:05:32.1198944Z - function_overloads: 2023-07-07T20:05:32.1199373Z - onnx_args: 2023-07-07T20:05:32.1199779Z - onnx_kwargs: 2023-07-07T20:05:32.1200502Z - diagnostic_context: 2023-07-07T20:05:32.1201256Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1201984Z [2023-07-07 20:02:53,187] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_6]. 2023-07-07T20:05:32.1202556Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1202836Z 2023-07-07T20:05:32.1203180Z [2023-07-07 20:02:53,187] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1203790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1204176Z 2023-07-07T20:05:32.1204599Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1205434Z - self: 2023-07-07T20:05:32.1206124Z - node: fx.Node(tensor_int_6[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1206593Z - aten_name: 2023-07-07T20:05:32.1207018Z - function_overloads: 2023-07-07T20:05:32.1207514Z - onnx_args: 2023-07-07T20:05:32.1207925Z - onnx_kwargs: 2023-07-07T20:05:32.1208662Z - diagnostic_context: 2023-07-07T20:05:32.1209362Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1210094Z [2023-07-07 20:02:53,192] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_48]. 2023-07-07T20:05:32.1210693Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1210993Z 2023-07-07T20:05:32.1211378Z [2023-07-07 20:02:53,192] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1212020Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1212414Z 2023-07-07T20:05:32.1212733Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1213561Z - self: 2023-07-07T20:05:32.1214360Z - node: fx.Node(unsqueeze_48[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1214857Z - aten_name: 2023-07-07T20:05:32.1215289Z - function_overloads: 2023-07-07T20:05:32.1215709Z - onnx_args: 2023-07-07T20:05:32.1216101Z - onnx_kwargs: 2023-07-07T20:05:32.1216839Z - diagnostic_context: 2023-07-07T20:05:32.1217553Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1218275Z [2023-07-07 20:02:53,193] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_49]. 2023-07-07T20:05:32.1218869Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1219164Z 2023-07-07T20:05:32.1219508Z [2023-07-07 20:02:53,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1220111Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1220497Z 2023-07-07T20:05:32.1220812Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1221630Z - self: 2023-07-07T20:05:32.1222377Z - node: fx.Node(unsqueeze_49[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1222850Z - aten_name: 2023-07-07T20:05:32.1223281Z - function_overloads: 2023-07-07T20:05:32.1223707Z - onnx_args: 2023-07-07T20:05:32.1224096Z - onnx_kwargs: 2023-07-07T20:05:32.1224836Z - diagnostic_context: 2023-07-07T20:05:32.1225549Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1226288Z [2023-07-07 20:02:53,194] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_50]. 2023-07-07T20:05:32.1226869Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1227169Z 2023-07-07T20:05:32.1227518Z [2023-07-07 20:02:53,194] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1228133Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1228518Z 2023-07-07T20:05:32.1228832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1229643Z - self: 2023-07-07T20:05:32.1230377Z - node: fx.Node(unsqueeze_50[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1230873Z - aten_name: 2023-07-07T20:05:32.1231298Z - function_overloads: 2023-07-07T20:05:32.1231725Z - onnx_args: 2023-07-07T20:05:32.1232132Z - onnx_kwargs: 2023-07-07T20:05:32.1232907Z - diagnostic_context: 2023-07-07T20:05:32.1233618Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1234347Z [2023-07-07 20:02:53,195] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_51]. 2023-07-07T20:05:32.1235025Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1235306Z 2023-07-07T20:05:32.1235648Z [2023-07-07 20:02:53,195] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1236265Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1236695Z 2023-07-07T20:05:32.1237044Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1237856Z - self: 2023-07-07T20:05:32.1238606Z - node: fx.Node(unsqueeze_51[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1239101Z - aten_name: 2023-07-07T20:05:32.1239569Z - function_overloads: 2023-07-07T20:05:32.1239977Z - onnx_args: 2023-07-07T20:05:32.1240376Z - onnx_kwargs: 2023-07-07T20:05:32.1241114Z - diagnostic_context: 2023-07-07T20:05:32.1241805Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1242535Z [2023-07-07 20:02:53,200] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_52]. 2023-07-07T20:05:32.1243138Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1243440Z 2023-07-07T20:05:32.1243782Z [2023-07-07 20:02:53,200] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1244485Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1244871Z 2023-07-07T20:05:32.1245191Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1246021Z - self: 2023-07-07T20:05:32.1246753Z - node: fx.Node(unsqueeze_52[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1247246Z - aten_name: 2023-07-07T20:05:32.1247672Z - function_overloads: 2023-07-07T20:05:32.1248079Z - onnx_args: 2023-07-07T20:05:32.1248489Z - onnx_kwargs: 2023-07-07T20:05:32.1249210Z - diagnostic_context: 2023-07-07T20:05:32.1249926Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1250642Z [2023-07-07 20:02:53,201] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_53]. 2023-07-07T20:05:32.1251241Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1251539Z 2023-07-07T20:05:32.1251886Z [2023-07-07 20:02:53,201] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1252486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1252868Z 2023-07-07T20:05:32.1253186Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1254006Z - self: 2023-07-07T20:05:32.1254743Z - node: fx.Node(unsqueeze_53[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1255224Z - aten_name: 2023-07-07T20:05:32.1255655Z - function_overloads: 2023-07-07T20:05:32.1256076Z - onnx_args: 2023-07-07T20:05:32.1256469Z - onnx_kwargs: 2023-07-07T20:05:32.1257204Z - diagnostic_context: 2023-07-07T20:05:32.1257992Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1258732Z [2023-07-07 20:02:53,204] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_54]. 2023-07-07T20:05:32.1259327Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1259626Z 2023-07-07T20:05:32.1259974Z [2023-07-07 20:02:53,204] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1260593Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1261036Z 2023-07-07T20:05:32.1261339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1262202Z - self: 2023-07-07T20:05:32.1262950Z - node: fx.Node(unsqueeze_54[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1263440Z - aten_name: 2023-07-07T20:05:32.1263860Z - function_overloads: 2023-07-07T20:05:32.1264284Z - onnx_args: 2023-07-07T20:05:32.1264741Z - onnx_kwargs: 2023-07-07T20:05:32.1265467Z - diagnostic_context: 2023-07-07T20:05:32.1266176Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1266915Z [2023-07-07 20:02:53,205] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_55]. 2023-07-07T20:05:32.1267493Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1267795Z 2023-07-07T20:05:32.1268138Z [2023-07-07 20:02:53,205] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1268758Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1269139Z 2023-07-07T20:05:32.1269456Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1270265Z - self: 2023-07-07T20:05:32.1271012Z - node: fx.Node(unsqueeze_55[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1271512Z - aten_name: 2023-07-07T20:05:32.1271940Z - function_overloads: 2023-07-07T20:05:32.1272343Z - onnx_args: 2023-07-07T20:05:32.1272741Z - onnx_kwargs: 2023-07-07T20:05:32.1273481Z - diagnostic_context: 2023-07-07T20:05:32.1274187Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1274998Z [2023-07-07 20:02:53,208] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:32.1275650Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1275953Z 2023-07-07T20:05:32.1276276Z [2023-07-07 20:02:53,208] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1276886Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1277272Z 2023-07-07T20:05:32.1277594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1278419Z - self: 2023-07-07T20:05:32.1279156Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1279660Z - aten_name: 2023-07-07T20:05:32.1280096Z - function_overloads: 2023-07-07T20:05:32.1280505Z - onnx_args: 2023-07-07T20:05:32.1280910Z - onnx_kwargs: 2023-07-07T20:05:32.1281651Z - diagnostic_context: 2023-07-07T20:05:32.1282448Z - Return value: 2023-07-07T20:05:32.1283340Z [2023-07-07 20:02:53,212] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_14]. 2023-07-07T20:05:32.1284019Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1284343Z 2023-07-07T20:05:32.1284794Z [2023-07-07 20:02:53,212] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1285392Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1285779Z 2023-07-07T20:05:32.1286094Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1287046Z - self: 2023-07-07T20:05:32.1287866Z - node: fx.Node(convert_element_type_14[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1288388Z - aten_name: 2023-07-07T20:05:32.1288815Z - function_overloads: 2023-07-07T20:05:32.1289242Z - onnx_args: 2023-07-07T20:05:32.1289631Z - onnx_kwargs: 2023-07-07T20:05:32.1290414Z - diagnostic_context: 2023-07-07T20:05:32.1291171Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1291994Z [2023-07-07 20:02:53,213] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_15]. 2023-07-07T20:05:32.1292640Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1292965Z 2023-07-07T20:05:32.1293304Z [2023-07-07 20:02:53,213] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1293912Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1294294Z 2023-07-07T20:05:32.1294612Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1295425Z - self: 2023-07-07T20:05:32.1296240Z - node: fx.Node(convert_element_type_15[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1296773Z - aten_name: 2023-07-07T20:05:32.1297187Z - function_overloads: 2023-07-07T20:05:32.1297609Z - onnx_args: 2023-07-07T20:05:32.1298012Z - onnx_kwargs: 2023-07-07T20:05:32.1298740Z - diagnostic_context: 2023-07-07T20:05:32.1299499Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1300226Z [2023-07-07 20:02:53,218] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_7]. 2023-07-07T20:05:32.1300792Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1301073Z 2023-07-07T20:05:32.1301417Z [2023-07-07 20:02:53,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1302024Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1302410Z 2023-07-07T20:05:32.1302726Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1303558Z - self: 2023-07-07T20:05:32.1304250Z - node: fx.Node(tensor_int_7[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1304728Z - aten_name: 2023-07-07T20:05:32.1305158Z - function_overloads: 2023-07-07T20:05:32.1305566Z - onnx_args: 2023-07-07T20:05:32.1305972Z - onnx_kwargs: 2023-07-07T20:05:32.1306712Z - diagnostic_context: 2023-07-07T20:05:32.1307405Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1308187Z [2023-07-07 20:02:53,224] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_56]. 2023-07-07T20:05:32.1308787Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1309082Z 2023-07-07T20:05:32.1309427Z [2023-07-07 20:02:53,224] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1310027Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1310416Z 2023-07-07T20:05:32.1310731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1311634Z - self: 2023-07-07T20:05:32.1312361Z - node: fx.Node(unsqueeze_56[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1312856Z - aten_name: 2023-07-07T20:05:32.1313287Z - function_overloads: 2023-07-07T20:05:32.1313704Z - onnx_args: 2023-07-07T20:05:32.1314095Z - onnx_kwargs: 2023-07-07T20:05:32.1314961Z - diagnostic_context: 2023-07-07T20:05:32.1315674Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1316394Z [2023-07-07 20:02:53,225] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_57]. 2023-07-07T20:05:32.1316991Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1317290Z 2023-07-07T20:05:32.1317636Z [2023-07-07 20:02:53,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1318261Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1318631Z 2023-07-07T20:05:32.1318956Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1319777Z - self: 2023-07-07T20:05:32.1320519Z - node: fx.Node(unsqueeze_57[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1320996Z - aten_name: 2023-07-07T20:05:32.1321423Z - function_overloads: 2023-07-07T20:05:32.1321845Z - onnx_args: 2023-07-07T20:05:32.1322240Z - onnx_kwargs: 2023-07-07T20:05:32.1322976Z - diagnostic_context: 2023-07-07T20:05:32.1323679Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1324502Z [2023-07-07 20:02:53,226] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_58]. 2023-07-07T20:05:32.1325094Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1325390Z 2023-07-07T20:05:32.1325739Z [2023-07-07 20:02:53,226] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1326351Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1326733Z 2023-07-07T20:05:32.1327050Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1327864Z - self: 2023-07-07T20:05:32.1328603Z - node: fx.Node(unsqueeze_58[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1329098Z - aten_name: 2023-07-07T20:05:32.1329511Z - function_overloads: 2023-07-07T20:05:32.1329938Z - onnx_args: 2023-07-07T20:05:32.1330340Z - onnx_kwargs: 2023-07-07T20:05:32.1331079Z - diagnostic_context: 2023-07-07T20:05:32.1331787Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1332513Z [2023-07-07 20:02:53,227] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_59]. 2023-07-07T20:05:32.1333199Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1333487Z 2023-07-07T20:05:32.1333829Z [2023-07-07 20:02:53,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1334448Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1334840Z 2023-07-07T20:05:32.1335157Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1335973Z - self: 2023-07-07T20:05:32.1336759Z - node: fx.Node(unsqueeze_59[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1337290Z - aten_name: 2023-07-07T20:05:32.1337719Z - function_overloads: 2023-07-07T20:05:32.1338123Z - onnx_args: 2023-07-07T20:05:32.1338528Z - onnx_kwargs: 2023-07-07T20:05:32.1339272Z - diagnostic_context: 2023-07-07T20:05:32.1340012Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1340736Z [2023-07-07 20:02:53,231] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_60]. 2023-07-07T20:05:32.1341327Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1341622Z 2023-07-07T20:05:32.1341959Z [2023-07-07 20:02:53,231] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1342555Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1342937Z 2023-07-07T20:05:32.1343254Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1344070Z - self: 2023-07-07T20:05:32.1344794Z - node: fx.Node(unsqueeze_60[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1345285Z - aten_name: 2023-07-07T20:05:32.1345711Z - function_overloads: 2023-07-07T20:05:32.1346129Z - onnx_args: 2023-07-07T20:05:32.1346516Z - onnx_kwargs: 2023-07-07T20:05:32.1347242Z - diagnostic_context: 2023-07-07T20:05:32.1347950Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1348659Z [2023-07-07 20:02:53,232] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_61]. 2023-07-07T20:05:32.1349259Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1349556Z 2023-07-07T20:05:32.1349899Z [2023-07-07 20:02:53,232] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1350490Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1350879Z 2023-07-07T20:05:32.1351206Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1352031Z - self: 2023-07-07T20:05:32.1352767Z - node: fx.Node(unsqueeze_61[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1353243Z - aten_name: 2023-07-07T20:05:32.1353670Z - function_overloads: 2023-07-07T20:05:32.1353867Z - onnx_args: 2023-07-07T20:05:32.1354068Z - onnx_kwargs: 2023-07-07T20:05:32.1354595Z - diagnostic_context: 2023-07-07T20:05:32.1354945Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1355423Z [2023-07-07 20:02:53,235] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_62]. 2023-07-07T20:05:32.1355670Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1355679Z 2023-07-07T20:05:32.1356081Z [2023-07-07 20:02:53,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1356433Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1356442Z 2023-07-07T20:05:32.1356758Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1357221Z - self: 2023-07-07T20:05:32.1357574Z - node: fx.Node(unsqueeze_62[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1357809Z - aten_name: 2023-07-07T20:05:32.1358023Z - function_overloads: 2023-07-07T20:05:32.1358253Z - onnx_args: 2023-07-07T20:05:32.1358457Z - onnx_kwargs: 2023-07-07T20:05:32.1358987Z - diagnostic_context: 2023-07-07T20:05:32.1359257Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1359733Z [2023-07-07 20:02:53,236] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_63]. 2023-07-07T20:05:32.1360013Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1360022Z 2023-07-07T20:05:32.1360358Z [2023-07-07 20:02:53,236] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1360690Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1360715Z 2023-07-07T20:05:32.1361014Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1361474Z - self: 2023-07-07T20:05:32.1361831Z - node: fx.Node(unsqueeze_63[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1362029Z - aten_name: 2023-07-07T20:05:32.1362261Z - function_overloads: 2023-07-07T20:05:32.1362463Z - onnx_args: 2023-07-07T20:05:32.1362669Z - onnx_kwargs: 2023-07-07T20:05:32.1363185Z - diagnostic_context: 2023-07-07T20:05:32.1363457Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1363946Z [2023-07-07 20:02:53,245] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:32.1364194Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1364205Z 2023-07-07T20:05:32.1364646Z [2023-07-07 20:02:53,245] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1364997Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1365008Z 2023-07-07T20:05:32.1365321Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1365800Z - self: 2023-07-07T20:05:32.1366179Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1366363Z - aten_name: 2023-07-07T20:05:32.1366595Z - function_overloads: 2023-07-07T20:05:32.1366793Z - onnx_args: 2023-07-07T20:05:32.1366998Z - onnx_kwargs: 2023-07-07T20:05:32.1367532Z - diagnostic_context: 2023-07-07T20:05:32.1367901Z - Return value: 2023-07-07T20:05:32.1368452Z [2023-07-07 20:02:53,248] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_16]. 2023-07-07T20:05:32.1368722Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1368731Z 2023-07-07T20:05:32.1369135Z [2023-07-07 20:02:53,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1369479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1369492Z 2023-07-07T20:05:32.1369804Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1370273Z - self: 2023-07-07T20:05:32.1370696Z - node: fx.Node(convert_element_type_16[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1370945Z - aten_name: 2023-07-07T20:05:32.1371175Z - function_overloads: 2023-07-07T20:05:32.1371418Z - onnx_args: 2023-07-07T20:05:32.1371602Z - onnx_kwargs: 2023-07-07T20:05:32.1372138Z - diagnostic_context: 2023-07-07T20:05:32.1372452Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1372995Z [2023-07-07 20:02:53,249] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_17]. 2023-07-07T20:05:32.1373314Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1373323Z 2023-07-07T20:05:32.1373661Z [2023-07-07 20:02:53,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1374009Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1374021Z 2023-07-07T20:05:32.1374331Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1374797Z - self: 2023-07-07T20:05:32.1375202Z - node: fx.Node(convert_element_type_17[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1375397Z - aten_name: 2023-07-07T20:05:32.1375634Z - function_overloads: 2023-07-07T20:05:32.1375828Z - onnx_args: 2023-07-07T20:05:32.1376030Z - onnx_kwargs: 2023-07-07T20:05:32.1376565Z - diagnostic_context: 2023-07-07T20:05:32.1376882Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1377328Z [2023-07-07 20:02:53,254] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_8]. 2023-07-07T20:05:32.1377557Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1377568Z 2023-07-07T20:05:32.1377903Z [2023-07-07 20:02:53,254] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1378249Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1378258Z 2023-07-07T20:05:32.1378572Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1379036Z - self: 2023-07-07T20:05:32.1379360Z - node: fx.Node(tensor_int_8[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1379552Z - aten_name: 2023-07-07T20:05:32.1379782Z - function_overloads: 2023-07-07T20:05:32.1379967Z - onnx_args: 2023-07-07T20:05:32.1380169Z - onnx_kwargs: 2023-07-07T20:05:32.1380702Z - diagnostic_context: 2023-07-07T20:05:32.1380979Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1381456Z [2023-07-07 20:02:53,259] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_64]. 2023-07-07T20:05:32.1381702Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1381711Z 2023-07-07T20:05:32.1382045Z [2023-07-07 20:02:53,259] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1382429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1382441Z 2023-07-07T20:05:32.1382756Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1383206Z - self: 2023-07-07T20:05:32.1383560Z - node: fx.Node(unsqueeze_64[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1383755Z - aten_name: 2023-07-07T20:05:32.1384018Z - function_overloads: 2023-07-07T20:05:32.1384216Z - onnx_args: 2023-07-07T20:05:32.1384481Z - onnx_kwargs: 2023-07-07T20:05:32.1385005Z - diagnostic_context: 2023-07-07T20:05:32.1385263Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1385750Z [2023-07-07 20:02:53,260] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_65]. 2023-07-07T20:05:32.1386029Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1386037Z 2023-07-07T20:05:32.1386377Z [2023-07-07 20:02:53,261] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1386724Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1386733Z 2023-07-07T20:05:32.1387046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1387514Z - self: 2023-07-07T20:05:32.1387874Z - node: fx.Node(unsqueeze_65[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1388072Z - aten_name: 2023-07-07T20:05:32.1388286Z - function_overloads: 2023-07-07T20:05:32.1388484Z - onnx_args: 2023-07-07T20:05:32.1388688Z - onnx_kwargs: 2023-07-07T20:05:32.1389217Z - diagnostic_context: 2023-07-07T20:05:32.1389491Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1389972Z [2023-07-07 20:02:53,262] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_66]. 2023-07-07T20:05:32.1390210Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1390219Z 2023-07-07T20:05:32.1390557Z [2023-07-07 20:02:53,262] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1390893Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1390902Z 2023-07-07T20:05:32.1391215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1391680Z - self: 2023-07-07T20:05:32.1392041Z - node: fx.Node(unsqueeze_66[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1392238Z - aten_name: 2023-07-07T20:05:32.1392466Z - function_overloads: 2023-07-07T20:05:32.1392666Z - onnx_args: 2023-07-07T20:05:32.1392868Z - onnx_kwargs: 2023-07-07T20:05:32.1393382Z - diagnostic_context: 2023-07-07T20:05:32.1393655Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1394133Z [2023-07-07 20:02:53,263] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_67]. 2023-07-07T20:05:32.1394379Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1394387Z 2023-07-07T20:05:32.1394799Z [2023-07-07 20:02:53,263] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1395193Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1395203Z 2023-07-07T20:05:32.1395519Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1395986Z - self: 2023-07-07T20:05:32.1396342Z - node: fx.Node(unsqueeze_67[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1396525Z - aten_name: 2023-07-07T20:05:32.1396752Z - function_overloads: 2023-07-07T20:05:32.1396947Z - onnx_args: 2023-07-07T20:05:32.1397185Z - onnx_kwargs: 2023-07-07T20:05:32.1397750Z - diagnostic_context: 2023-07-07T20:05:32.1398026Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1398506Z [2023-07-07 20:02:53,267] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_68]. 2023-07-07T20:05:32.1398737Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1398746Z 2023-07-07T20:05:32.1399118Z [2023-07-07 20:02:53,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1399465Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1399474Z 2023-07-07T20:05:32.1399786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1400250Z - self: 2023-07-07T20:05:32.1400608Z - node: fx.Node(unsqueeze_68[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1400804Z - aten_name: 2023-07-07T20:05:32.1401032Z - function_overloads: 2023-07-07T20:05:32.1401216Z - onnx_args: 2023-07-07T20:05:32.1401413Z - onnx_kwargs: 2023-07-07T20:05:32.1401945Z - diagnostic_context: 2023-07-07T20:05:32.1402215Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1402697Z [2023-07-07 20:02:53,268] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_69]. 2023-07-07T20:05:32.1402936Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1402945Z 2023-07-07T20:05:32.1403283Z [2023-07-07 20:02:53,268] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1403633Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1403645Z 2023-07-07T20:05:32.1403962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1404564Z - self: 2023-07-07T20:05:32.1404924Z - node: fx.Node(unsqueeze_69[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1405121Z - aten_name: 2023-07-07T20:05:32.1405351Z - function_overloads: 2023-07-07T20:05:32.1405552Z - onnx_args: 2023-07-07T20:05:32.1405756Z - onnx_kwargs: 2023-07-07T20:05:32.1406286Z - diagnostic_context: 2023-07-07T20:05:32.1406541Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1407019Z [2023-07-07 20:02:53,271] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_70]. 2023-07-07T20:05:32.1407263Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1407273Z 2023-07-07T20:05:32.1407614Z [2023-07-07 20:02:53,271] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1407955Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1407964Z 2023-07-07T20:05:32.1408353Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1408816Z - self: 2023-07-07T20:05:32.1409167Z - node: fx.Node(unsqueeze_70[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1409357Z - aten_name: 2023-07-07T20:05:32.1409570Z - function_overloads: 2023-07-07T20:05:32.1409766Z - onnx_args: 2023-07-07T20:05:32.1409967Z - onnx_kwargs: 2023-07-07T20:05:32.1410494Z - diagnostic_context: 2023-07-07T20:05:32.1410807Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1411339Z [2023-07-07 20:02:53,272] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_71]. 2023-07-07T20:05:32.1411581Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1411590Z 2023-07-07T20:05:32.1411931Z [2023-07-07 20:02:53,272] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1412307Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1412330Z 2023-07-07T20:05:32.1412629Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1413096Z - self: 2023-07-07T20:05:32.1413451Z - node: fx.Node(unsqueeze_71[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1413650Z - aten_name: 2023-07-07T20:05:32.1413878Z - function_overloads: 2023-07-07T20:05:32.1414079Z - onnx_args: 2023-07-07T20:05:32.1414280Z - onnx_kwargs: 2023-07-07T20:05:32.1414796Z - diagnostic_context: 2023-07-07T20:05:32.1415065Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1415564Z [2023-07-07 20:02:53,279] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:32.1415812Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1415821Z 2023-07-07T20:05:32.1416162Z [2023-07-07 20:02:53,279] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1416509Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1416517Z 2023-07-07T20:05:32.1416831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1417309Z - self: 2023-07-07T20:05:32.1417679Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1417858Z - aten_name: 2023-07-07T20:05:32.1418084Z - function_overloads: 2023-07-07T20:05:32.1418287Z - onnx_args: 2023-07-07T20:05:32.1418490Z - onnx_kwargs: 2023-07-07T20:05:32.1419022Z - diagnostic_context: 2023-07-07T20:05:32.1419382Z - Return value: 2023-07-07T20:05:32.1419936Z [2023-07-07 20:02:53,282] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_18]. 2023-07-07T20:05:32.1420193Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1420219Z 2023-07-07T20:05:32.1420542Z [2023-07-07 20:02:53,282] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1420892Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1420900Z 2023-07-07T20:05:32.1421215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1421709Z - self: 2023-07-07T20:05:32.1422133Z - node: fx.Node(convert_element_type_18[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1422331Z - aten_name: 2023-07-07T20:05:32.1422558Z - function_overloads: 2023-07-07T20:05:32.1422755Z - onnx_args: 2023-07-07T20:05:32.1422942Z - onnx_kwargs: 2023-07-07T20:05:32.1423468Z - diagnostic_context: 2023-07-07T20:05:32.1423825Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1424408Z [2023-07-07 20:02:53,284] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_19]. 2023-07-07T20:05:32.1424680Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1424689Z 2023-07-07T20:05:32.1425031Z [2023-07-07 20:02:53,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1425407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1425415Z 2023-07-07T20:05:32.1425728Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1426187Z - self: 2023-07-07T20:05:32.1426594Z - node: fx.Node(convert_element_type_19[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1426793Z - aten_name: 2023-07-07T20:05:32.1427017Z - function_overloads: 2023-07-07T20:05:32.1427228Z - onnx_args: 2023-07-07T20:05:32.1427432Z - onnx_kwargs: 2023-07-07T20:05:32.1427959Z - diagnostic_context: 2023-07-07T20:05:32.1428278Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1428705Z [2023-07-07 20:02:53,289] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_9]. 2023-07-07T20:05:32.1428948Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1428957Z 2023-07-07T20:05:32.1429296Z [2023-07-07 20:02:53,289] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1429643Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1429653Z 2023-07-07T20:05:32.1429970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1430437Z - self: 2023-07-07T20:05:32.1430760Z - node: fx.Node(tensor_int_9[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1430952Z - aten_name: 2023-07-07T20:05:32.1431182Z - function_overloads: 2023-07-07T20:05:32.1431369Z - onnx_args: 2023-07-07T20:05:32.1431575Z - onnx_kwargs: 2023-07-07T20:05:32.1432105Z - diagnostic_context: 2023-07-07T20:05:32.1432383Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1432858Z [2023-07-07 20:02:53,293] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_72]. 2023-07-07T20:05:32.1433097Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1433109Z 2023-07-07T20:05:32.1433448Z [2023-07-07 20:02:53,294] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1433793Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1433802Z 2023-07-07T20:05:32.1434102Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1434682Z - self: 2023-07-07T20:05:32.1435046Z - node: fx.Node(unsqueeze_72[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1435238Z - aten_name: 2023-07-07T20:05:32.1435464Z - function_overloads: 2023-07-07T20:05:32.1435663Z - onnx_args: 2023-07-07T20:05:32.1435864Z - onnx_kwargs: 2023-07-07T20:05:32.1436396Z - diagnostic_context: 2023-07-07T20:05:32.1436696Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1437217Z [2023-07-07 20:02:53,295] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_73]. 2023-07-07T20:05:32.1437459Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1437468Z 2023-07-07T20:05:32.1437807Z [2023-07-07 20:02:53,295] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1438155Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1438198Z 2023-07-07T20:05:32.1438512Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1438977Z - self: 2023-07-07T20:05:32.1439330Z - node: fx.Node(unsqueeze_73[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1439521Z - aten_name: 2023-07-07T20:05:32.1439733Z - function_overloads: 2023-07-07T20:05:32.1439933Z - onnx_args: 2023-07-07T20:05:32.1440136Z - onnx_kwargs: 2023-07-07T20:05:32.1440664Z - diagnostic_context: 2023-07-07T20:05:32.1440933Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1441416Z [2023-07-07 20:02:53,296] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_74]. 2023-07-07T20:05:32.1441654Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1441669Z 2023-07-07T20:05:32.1441991Z [2023-07-07 20:02:53,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1442339Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1442348Z 2023-07-07T20:05:32.1442667Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1443125Z - self: 2023-07-07T20:05:32.1443486Z - node: fx.Node(unsqueeze_74[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1443678Z - aten_name: 2023-07-07T20:05:32.1443905Z - function_overloads: 2023-07-07T20:05:32.1444107Z - onnx_args: 2023-07-07T20:05:32.1444293Z - onnx_kwargs: 2023-07-07T20:05:32.1444972Z - diagnostic_context: 2023-07-07T20:05:32.1445250Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1445729Z [2023-07-07 20:02:53,297] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_75]. 2023-07-07T20:05:32.1445970Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1445979Z 2023-07-07T20:05:32.1446316Z [2023-07-07 20:02:53,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1446668Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1446682Z 2023-07-07T20:05:32.1446994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1447462Z - self: 2023-07-07T20:05:32.1447874Z - node: fx.Node(unsqueeze_75[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1448083Z - aten_name: 2023-07-07T20:05:32.1448311Z - function_overloads: 2023-07-07T20:05:32.1448512Z - onnx_args: 2023-07-07T20:05:32.1448713Z - onnx_kwargs: 2023-07-07T20:05:32.1449247Z - diagnostic_context: 2023-07-07T20:05:32.1449518Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1449996Z [2023-07-07 20:02:53,301] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_76]. 2023-07-07T20:05:32.1450268Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1450320Z 2023-07-07T20:05:32.1450658Z [2023-07-07 20:02:53,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1451006Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1451020Z 2023-07-07T20:05:32.1451336Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1451843Z - self: 2023-07-07T20:05:32.1452194Z - node: fx.Node(unsqueeze_76[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1452387Z - aten_name: 2023-07-07T20:05:32.1452616Z - function_overloads: 2023-07-07T20:05:32.1452800Z - onnx_args: 2023-07-07T20:05:32.1453002Z - onnx_kwargs: 2023-07-07T20:05:32.1453532Z - diagnostic_context: 2023-07-07T20:05:32.1453805Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1454283Z [2023-07-07 20:02:53,302] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_77]. 2023-07-07T20:05:32.1454525Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1454537Z 2023-07-07T20:05:32.1454877Z [2023-07-07 20:02:53,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1455222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1455231Z 2023-07-07T20:05:32.1455542Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1455995Z - self: 2023-07-07T20:05:32.1456348Z - node: fx.Node(unsqueeze_77[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1456544Z - aten_name: 2023-07-07T20:05:32.1456775Z - function_overloads: 2023-07-07T20:05:32.1456970Z - onnx_args: 2023-07-07T20:05:32.1457169Z - onnx_kwargs: 2023-07-07T20:05:32.1457692Z - diagnostic_context: 2023-07-07T20:05:32.1457951Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1458434Z [2023-07-07 20:02:53,305] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_78]. 2023-07-07T20:05:32.1458672Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1458681Z 2023-07-07T20:05:32.1459021Z [2023-07-07 20:02:53,305] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1459363Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1459375Z 2023-07-07T20:05:32.1459689Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1460149Z - self: 2023-07-07T20:05:32.1460508Z - node: fx.Node(unsqueeze_78[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1460705Z - aten_name: 2023-07-07T20:05:32.1460981Z - function_overloads: 2023-07-07T20:05:32.1461187Z - onnx_args: 2023-07-07T20:05:32.1461390Z - onnx_kwargs: 2023-07-07T20:05:32.1461922Z - diagnostic_context: 2023-07-07T20:05:32.1462190Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1462667Z [2023-07-07 20:02:53,306] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_79]. 2023-07-07T20:05:32.1462911Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1462957Z 2023-07-07T20:05:32.1463332Z [2023-07-07 20:02:53,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1463662Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1463671Z 2023-07-07T20:05:32.1463991Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1464455Z - self: 2023-07-07T20:05:32.1464843Z - node: fx.Node(unsqueeze_79[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1465035Z - aten_name: 2023-07-07T20:05:32.1465266Z - function_overloads: 2023-07-07T20:05:32.1465466Z - onnx_args: 2023-07-07T20:05:32.1465666Z - onnx_kwargs: 2023-07-07T20:05:32.1466174Z - diagnostic_context: 2023-07-07T20:05:32.1466446Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1466945Z [2023-07-07 20:02:53,314] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:32.1467195Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1467203Z 2023-07-07T20:05:32.1467544Z [2023-07-07 20:02:53,314] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1467887Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1467898Z 2023-07-07T20:05:32.1468211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1468673Z - self: 2023-07-07T20:05:32.1469042Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1469224Z - aten_name: 2023-07-07T20:05:32.1469451Z - function_overloads: 2023-07-07T20:05:32.1469648Z - onnx_args: 2023-07-07T20:05:32.1469852Z - onnx_kwargs: 2023-07-07T20:05:32.1470375Z - diagnostic_context: 2023-07-07T20:05:32.1470738Z - Return value: 2023-07-07T20:05:32.1471279Z [2023-07-07 20:02:53,318] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_20]. 2023-07-07T20:05:32.1471538Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1471562Z 2023-07-07T20:05:32.1471888Z [2023-07-07 20:02:53,318] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1472231Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1472240Z 2023-07-07T20:05:32.1472555Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1473016Z - self: 2023-07-07T20:05:32.1473438Z - node: fx.Node(convert_element_type_20[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1473633Z - aten_name: 2023-07-07T20:05:32.1473906Z - function_overloads: 2023-07-07T20:05:32.1474104Z - onnx_args: 2023-07-07T20:05:32.1474291Z - onnx_kwargs: 2023-07-07T20:05:32.1474887Z - diagnostic_context: 2023-07-07T20:05:32.1475209Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1475746Z [2023-07-07 20:02:53,319] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_21]. 2023-07-07T20:05:32.1476016Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1476065Z 2023-07-07T20:05:32.1476435Z [2023-07-07 20:02:53,319] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1476779Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1476788Z 2023-07-07T20:05:32.1477107Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1477567Z - self: 2023-07-07T20:05:32.1478024Z - node: fx.Node(convert_element_type_21[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1478216Z - aten_name: 2023-07-07T20:05:32.1478444Z - function_overloads: 2023-07-07T20:05:32.1478642Z - onnx_args: 2023-07-07T20:05:32.1478849Z - onnx_kwargs: 2023-07-07T20:05:32.1479377Z - diagnostic_context: 2023-07-07T20:05:32.1479700Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1480135Z [2023-07-07 20:02:53,324] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_10]. 2023-07-07T20:05:32.1480376Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1480386Z 2023-07-07T20:05:32.1480729Z [2023-07-07 20:02:53,324] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1481079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1481088Z 2023-07-07T20:05:32.1481402Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1481869Z - self: 2023-07-07T20:05:32.1482194Z - node: fx.Node(tensor_int_10[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1482391Z - aten_name: 2023-07-07T20:05:32.1482620Z - function_overloads: 2023-07-07T20:05:32.1482805Z - onnx_args: 2023-07-07T20:05:32.1483007Z - onnx_kwargs: 2023-07-07T20:05:32.1483534Z - diagnostic_context: 2023-07-07T20:05:32.1483807Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1484290Z [2023-07-07 20:02:53,329] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_80]. 2023-07-07T20:05:32.1484634Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1484644Z 2023-07-07T20:05:32.1484985Z [2023-07-07 20:02:53,329] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1485327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1485336Z 2023-07-07T20:05:32.1485637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1486106Z - self: 2023-07-07T20:05:32.1486465Z - node: fx.Node(unsqueeze_80[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1486660Z - aten_name: 2023-07-07T20:05:32.1486884Z - function_overloads: 2023-07-07T20:05:32.1487142Z - onnx_args: 2023-07-07T20:05:32.1487349Z - onnx_kwargs: 2023-07-07T20:05:32.1487888Z - diagnostic_context: 2023-07-07T20:05:32.1488147Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1488625Z [2023-07-07 20:02:53,330] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_81]. 2023-07-07T20:05:32.1488863Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1488871Z 2023-07-07T20:05:32.1489293Z [2023-07-07 20:02:53,330] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1489681Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1489691Z 2023-07-07T20:05:32.1490008Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1490473Z - self: 2023-07-07T20:05:32.1490869Z - node: fx.Node(unsqueeze_81[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1491054Z - aten_name: 2023-07-07T20:05:32.1491279Z - function_overloads: 2023-07-07T20:05:32.1491484Z - onnx_args: 2023-07-07T20:05:32.1491688Z - onnx_kwargs: 2023-07-07T20:05:32.1492217Z - diagnostic_context: 2023-07-07T20:05:32.1492487Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1492973Z [2023-07-07 20:02:53,331] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_82]. 2023-07-07T20:05:32.1493215Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1493223Z 2023-07-07T20:05:32.1493550Z [2023-07-07 20:02:53,331] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1493895Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1493905Z 2023-07-07T20:05:32.1494215Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1494680Z - self: 2023-07-07T20:05:32.1495032Z - node: fx.Node(unsqueeze_82[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1495227Z - aten_name: 2023-07-07T20:05:32.1495454Z - function_overloads: 2023-07-07T20:05:32.1495654Z - onnx_args: 2023-07-07T20:05:32.1495849Z - onnx_kwargs: 2023-07-07T20:05:32.1496384Z - diagnostic_context: 2023-07-07T20:05:32.1496655Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1497128Z [2023-07-07 20:02:53,332] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_83]. 2023-07-07T20:05:32.1497369Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1497380Z 2023-07-07T20:05:32.1497725Z [2023-07-07 20:02:53,332] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1498071Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1498080Z 2023-07-07T20:05:32.1498392Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1498856Z - self: 2023-07-07T20:05:32.1499200Z - node: fx.Node(unsqueeze_83[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1499389Z - aten_name: 2023-07-07T20:05:32.1499615Z - function_overloads: 2023-07-07T20:05:32.1499810Z - onnx_args: 2023-07-07T20:05:32.1500012Z - onnx_kwargs: 2023-07-07T20:05:32.1500578Z - diagnostic_context: 2023-07-07T20:05:32.1500852Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1501317Z [2023-07-07 20:02:53,337] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_84]. 2023-07-07T20:05:32.1501554Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1501563Z 2023-07-07T20:05:32.1501899Z [2023-07-07 20:02:53,337] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1502278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1502286Z 2023-07-07T20:05:32.1502640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1503108Z - self: 2023-07-07T20:05:32.1503469Z - node: fx.Node(unsqueeze_84[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1503665Z - aten_name: 2023-07-07T20:05:32.1503925Z - function_overloads: 2023-07-07T20:05:32.1504106Z - onnx_args: 2023-07-07T20:05:32.1504307Z - onnx_kwargs: 2023-07-07T20:05:32.1504837Z - diagnostic_context: 2023-07-07T20:05:32.1505108Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1505595Z [2023-07-07 20:02:53,339] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_85]. 2023-07-07T20:05:32.1505840Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1505852Z 2023-07-07T20:05:32.1506191Z [2023-07-07 20:02:53,339] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1506536Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1506546Z 2023-07-07T20:05:32.1506851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1507315Z - self: 2023-07-07T20:05:32.1507665Z - node: fx.Node(unsqueeze_85[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1507857Z - aten_name: 2023-07-07T20:05:32.1508088Z - function_overloads: 2023-07-07T20:05:32.1508280Z - onnx_args: 2023-07-07T20:05:32.1508483Z - onnx_kwargs: 2023-07-07T20:05:32.1509024Z - diagnostic_context: 2023-07-07T20:05:32.1509288Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1509764Z [2023-07-07 20:02:53,341] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_86]. 2023-07-07T20:05:32.1510006Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1510017Z 2023-07-07T20:05:32.1510356Z [2023-07-07 20:02:53,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1510702Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1510711Z 2023-07-07T20:05:32.1511024Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1511486Z - self: 2023-07-07T20:05:32.1511834Z - node: fx.Node(unsqueeze_86[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1512032Z - aten_name: 2023-07-07T20:05:32.1512249Z - function_overloads: 2023-07-07T20:05:32.1512442Z - onnx_args: 2023-07-07T20:05:32.1512643Z - onnx_kwargs: 2023-07-07T20:05:32.1513173Z - diagnostic_context: 2023-07-07T20:05:32.1513479Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1513957Z [2023-07-07 20:02:53,342] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_87]. 2023-07-07T20:05:32.1514196Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1514204Z 2023-07-07T20:05:32.1514531Z [2023-07-07 20:02:53,342] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1514978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1515027Z 2023-07-07T20:05:32.1515346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1515850Z - self: 2023-07-07T20:05:32.1516205Z - node: fx.Node(unsqueeze_87[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1516403Z - aten_name: 2023-07-07T20:05:32.1516634Z - function_overloads: 2023-07-07T20:05:32.1516833Z - onnx_args: 2023-07-07T20:05:32.1517052Z - onnx_kwargs: 2023-07-07T20:05:32.1517577Z - diagnostic_context: 2023-07-07T20:05:32.1517844Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1518337Z [2023-07-07 20:02:53,349] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:32.1518586Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1518597Z 2023-07-07T20:05:32.1518935Z [2023-07-07 20:02:53,349] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1519281Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1519290Z 2023-07-07T20:05:32.1519606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1520079Z - self: 2023-07-07T20:05:32.1520441Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1520636Z - aten_name: 2023-07-07T20:05:32.1520862Z - function_overloads: 2023-07-07T20:05:32.1521060Z - onnx_args: 2023-07-07T20:05:32.1521260Z - onnx_kwargs: 2023-07-07T20:05:32.1521782Z - diagnostic_context: 2023-07-07T20:05:32.1522151Z - Return value: 2023-07-07T20:05:32.1522704Z [2023-07-07 20:02:53,353] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_22]. 2023-07-07T20:05:32.1522962Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1522971Z 2023-07-07T20:05:32.1523314Z [2023-07-07 20:02:53,353] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1523659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1523667Z 2023-07-07T20:05:32.1523981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1524533Z - self: 2023-07-07T20:05:32.1524969Z - node: fx.Node(convert_element_type_22[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1525168Z - aten_name: 2023-07-07T20:05:32.1525400Z - function_overloads: 2023-07-07T20:05:32.1525584Z - onnx_args: 2023-07-07T20:05:32.1525785Z - onnx_kwargs: 2023-07-07T20:05:32.1526315Z - diagnostic_context: 2023-07-07T20:05:32.1526704Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1527254Z [2023-07-07 20:02:53,354] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_23]. 2023-07-07T20:05:32.1527527Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1527538Z 2023-07-07T20:05:32.1527880Z [2023-07-07 20:02:53,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1528228Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1528278Z 2023-07-07T20:05:32.1528594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1529081Z - self: 2023-07-07T20:05:32.1529503Z - node: fx.Node(convert_element_type_23[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1529697Z - aten_name: 2023-07-07T20:05:32.1529923Z - function_overloads: 2023-07-07T20:05:32.1530163Z - onnx_args: 2023-07-07T20:05:32.1530365Z - onnx_kwargs: 2023-07-07T20:05:32.1530898Z - diagnostic_context: 2023-07-07T20:05:32.1531212Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1531647Z [2023-07-07 20:02:53,359] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_11]. 2023-07-07T20:05:32.1531888Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1531899Z 2023-07-07T20:05:32.1532236Z [2023-07-07 20:02:53,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1532579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1532588Z 2023-07-07T20:05:32.1532907Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1533371Z - self: 2023-07-07T20:05:32.1533701Z - node: fx.Node(tensor_int_11[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1533890Z - aten_name: 2023-07-07T20:05:32.1534109Z - function_overloads: 2023-07-07T20:05:32.1534304Z - onnx_args: 2023-07-07T20:05:32.1534507Z - onnx_kwargs: 2023-07-07T20:05:32.1535040Z - diagnostic_context: 2023-07-07T20:05:32.1535315Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1535799Z [2023-07-07 20:02:53,364] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_88]. 2023-07-07T20:05:32.1536042Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1536050Z 2023-07-07T20:05:32.1536398Z [2023-07-07 20:02:53,364] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1536725Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1536751Z 2023-07-07T20:05:32.1537049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1537503Z - self: 2023-07-07T20:05:32.1537855Z - node: fx.Node(unsqueeze_88[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1538058Z - aten_name: 2023-07-07T20:05:32.1538281Z - function_overloads: 2023-07-07T20:05:32.1538482Z - onnx_args: 2023-07-07T20:05:32.1538685Z - onnx_kwargs: 2023-07-07T20:05:32.1539206Z - diagnostic_context: 2023-07-07T20:05:32.1539475Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1539998Z [2023-07-07 20:02:53,365] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_89]. 2023-07-07T20:05:32.1540244Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1540252Z 2023-07-07T20:05:32.1540590Z [2023-07-07 20:02:53,365] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1540935Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1540944Z 2023-07-07T20:05:32.1541262Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1541795Z - self: 2023-07-07T20:05:32.1542148Z - node: fx.Node(unsqueeze_89[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1542326Z - aten_name: 2023-07-07T20:05:32.1542556Z - function_overloads: 2023-07-07T20:05:32.1542752Z - onnx_args: 2023-07-07T20:05:32.1542954Z - onnx_kwargs: 2023-07-07T20:05:32.1543521Z - diagnostic_context: 2023-07-07T20:05:32.1543790Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1544280Z [2023-07-07 20:02:53,366] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_90]. 2023-07-07T20:05:32.1544527Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1544536Z 2023-07-07T20:05:32.1544855Z [2023-07-07 20:02:53,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1545204Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1545214Z 2023-07-07T20:05:32.1545527Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1545994Z - self: 2023-07-07T20:05:32.1546345Z - node: fx.Node(unsqueeze_90[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1546539Z - aten_name: 2023-07-07T20:05:32.1546768Z - function_overloads: 2023-07-07T20:05:32.1546965Z - onnx_args: 2023-07-07T20:05:32.1547150Z - onnx_kwargs: 2023-07-07T20:05:32.1547677Z - diagnostic_context: 2023-07-07T20:05:32.1547947Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1548430Z [2023-07-07 20:02:53,367] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_91]. 2023-07-07T20:05:32.1548671Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1548680Z 2023-07-07T20:05:32.1549017Z [2023-07-07 20:02:53,367] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1549363Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1549374Z 2023-07-07T20:05:32.1549687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1550156Z - self: 2023-07-07T20:05:32.1550498Z - node: fx.Node(unsqueeze_91[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1550688Z - aten_name: 2023-07-07T20:05:32.1550918Z - function_overloads: 2023-07-07T20:05:32.1551120Z - onnx_args: 2023-07-07T20:05:32.1551321Z - onnx_kwargs: 2023-07-07T20:05:32.1551846Z - diagnostic_context: 2023-07-07T20:05:32.1552114Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1552587Z [2023-07-07 20:02:53,372] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_92]. 2023-07-07T20:05:32.1552889Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1552905Z 2023-07-07T20:05:32.1553242Z [2023-07-07 20:02:53,372] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1553591Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1553600Z 2023-07-07T20:05:32.1553913Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1554376Z - self: 2023-07-07T20:05:32.1554840Z - node: fx.Node(unsqueeze_92[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1555084Z - aten_name: 2023-07-07T20:05:32.1555313Z - function_overloads: 2023-07-07T20:05:32.1555502Z - onnx_args: 2023-07-07T20:05:32.1555704Z - onnx_kwargs: 2023-07-07T20:05:32.1556239Z - diagnostic_context: 2023-07-07T20:05:32.1556549Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1557033Z [2023-07-07 20:02:53,373] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_93]. 2023-07-07T20:05:32.1557276Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1557285Z 2023-07-07T20:05:32.1557627Z [2023-07-07 20:02:53,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1557970Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1557981Z 2023-07-07T20:05:32.1558279Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1558744Z - self: 2023-07-07T20:05:32.1559106Z - node: fx.Node(unsqueeze_93[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1559300Z - aten_name: 2023-07-07T20:05:32.1559532Z - function_overloads: 2023-07-07T20:05:32.1559735Z - onnx_args: 2023-07-07T20:05:32.1559936Z - onnx_kwargs: 2023-07-07T20:05:32.1560466Z - diagnostic_context: 2023-07-07T20:05:32.1560722Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1561204Z [2023-07-07 20:02:53,376] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_94]. 2023-07-07T20:05:32.1561448Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1561457Z 2023-07-07T20:05:32.1561798Z [2023-07-07 20:02:53,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1562140Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1562148Z 2023-07-07T20:05:32.1562465Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1562931Z - self: 2023-07-07T20:05:32.1563280Z - node: fx.Node(unsqueeze_94[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1563465Z - aten_name: 2023-07-07T20:05:32.1563692Z - function_overloads: 2023-07-07T20:05:32.1563886Z - onnx_args: 2023-07-07T20:05:32.1564089Z - onnx_kwargs: 2023-07-07T20:05:32.1564718Z - diagnostic_context: 2023-07-07T20:05:32.1564997Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1565478Z [2023-07-07 20:02:53,377] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_95]. 2023-07-07T20:05:32.1565719Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1565729Z 2023-07-07T20:05:32.1566119Z [2023-07-07 20:02:53,377] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1566469Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1566477Z 2023-07-07T20:05:32.1566795Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1567261Z - self: 2023-07-07T20:05:32.1567620Z - node: fx.Node(unsqueeze_95[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1567859Z - aten_name: 2023-07-07T20:05:32.1568090Z - function_overloads: 2023-07-07T20:05:32.1568327Z - onnx_args: 2023-07-07T20:05:32.1568519Z - onnx_kwargs: 2023-07-07T20:05:32.1569053Z - diagnostic_context: 2023-07-07T20:05:32.1569324Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1569819Z [2023-07-07 20:02:53,380] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:32.1570114Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1570123Z 2023-07-07T20:05:32.1570459Z [2023-07-07 20:02:53,380] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1570802Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1570813Z 2023-07-07T20:05:32.1571126Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1571595Z - self: 2023-07-07T20:05:32.1571953Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1572145Z - aten_name: 2023-07-07T20:05:32.1572378Z - function_overloads: 2023-07-07T20:05:32.1572580Z - onnx_args: 2023-07-07T20:05:32.1572783Z - onnx_kwargs: 2023-07-07T20:05:32.1573313Z - diagnostic_context: 2023-07-07T20:05:32.1573682Z - Return value: 2023-07-07T20:05:32.1574227Z [2023-07-07 20:02:53,383] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_24]. 2023-07-07T20:05:32.1574482Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1574494Z 2023-07-07T20:05:32.1574839Z [2023-07-07 20:02:53,383] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1575185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1575194Z 2023-07-07T20:05:32.1575509Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1575972Z - self: 2023-07-07T20:05:32.1576398Z - node: fx.Node(convert_element_type_24[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1576592Z - aten_name: 2023-07-07T20:05:32.1576821Z - function_overloads: 2023-07-07T20:05:32.1577008Z - onnx_args: 2023-07-07T20:05:32.1577215Z - onnx_kwargs: 2023-07-07T20:05:32.1577741Z - diagnostic_context: 2023-07-07T20:05:32.1578064Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1578621Z [2023-07-07 20:02:53,385] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_25]. 2023-07-07T20:05:32.1578890Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1578900Z 2023-07-07T20:05:32.1579271Z [2023-07-07 20:02:53,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1579621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1579630Z 2023-07-07T20:05:32.1579945Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1580396Z - self: 2023-07-07T20:05:32.1580817Z - node: fx.Node(convert_element_type_25[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1581052Z - aten_name: 2023-07-07T20:05:32.1581315Z - function_overloads: 2023-07-07T20:05:32.1581518Z - onnx_args: 2023-07-07T20:05:32.1581716Z - onnx_kwargs: 2023-07-07T20:05:32.1582243Z - diagnostic_context: 2023-07-07T20:05:32.1582565Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1583034Z [2023-07-07 20:02:53,389] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_12]. 2023-07-07T20:05:32.1583279Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1583287Z 2023-07-07T20:05:32.1583629Z [2023-07-07 20:02:53,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1583977Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1583989Z 2023-07-07T20:05:32.1584302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1584763Z - self: 2023-07-07T20:05:32.1585087Z - node: fx.Node(tensor_int_12[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1585281Z - aten_name: 2023-07-07T20:05:32.1585496Z - function_overloads: 2023-07-07T20:05:32.1585694Z - onnx_args: 2023-07-07T20:05:32.1585899Z - onnx_kwargs: 2023-07-07T20:05:32.1586423Z - diagnostic_context: 2023-07-07T20:05:32.1586699Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1587175Z [2023-07-07 20:02:53,394] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_96]. 2023-07-07T20:05:32.1587416Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1587427Z 2023-07-07T20:05:32.1587764Z [2023-07-07 20:02:53,394] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1588102Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1588127Z 2023-07-07T20:05:32.1588429Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1588889Z - self: 2023-07-07T20:05:32.1589242Z - node: fx.Node(unsqueeze_96[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1589437Z - aten_name: 2023-07-07T20:05:32.1589664Z - function_overloads: 2023-07-07T20:05:32.1589863Z - onnx_args: 2023-07-07T20:05:32.1590066Z - onnx_kwargs: 2023-07-07T20:05:32.1590578Z - diagnostic_context: 2023-07-07T20:05:32.1590845Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1591321Z [2023-07-07 20:02:53,395] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_97]. 2023-07-07T20:05:32.1591560Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1591569Z 2023-07-07T20:05:32.1591907Z [2023-07-07 20:02:53,395] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1592323Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1592335Z 2023-07-07T20:05:32.1592643Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1593098Z - self: 2023-07-07T20:05:32.1593450Z - node: fx.Node(unsqueeze_97[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1593626Z - aten_name: 2023-07-07T20:05:32.1593889Z - function_overloads: 2023-07-07T20:05:32.1594087Z - onnx_args: 2023-07-07T20:05:32.1594329Z - onnx_kwargs: 2023-07-07T20:05:32.1594925Z - diagnostic_context: 2023-07-07T20:05:32.1595197Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1595678Z [2023-07-07 20:02:53,397] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_98]. 2023-07-07T20:05:32.1595943Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1595970Z 2023-07-07T20:05:32.1596290Z [2023-07-07 20:02:53,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1596634Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1596642Z 2023-07-07T20:05:32.1596955Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1597423Z - self: 2023-07-07T20:05:32.1597782Z - node: fx.Node(unsqueeze_98[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1597978Z - aten_name: 2023-07-07T20:05:32.1598208Z - function_overloads: 2023-07-07T20:05:32.1598406Z - onnx_args: 2023-07-07T20:05:32.1598597Z - onnx_kwargs: 2023-07-07T20:05:32.1599126Z - diagnostic_context: 2023-07-07T20:05:32.1599400Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1599885Z [2023-07-07 20:02:53,398] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_99]. 2023-07-07T20:05:32.1600123Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1600131Z 2023-07-07T20:05:32.1600474Z [2023-07-07 20:02:53,398] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1600825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1600834Z 2023-07-07T20:05:32.1601152Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1601612Z - self: 2023-07-07T20:05:32.1601955Z - node: fx.Node(unsqueeze_99[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1602150Z - aten_name: 2023-07-07T20:05:32.1602383Z - function_overloads: 2023-07-07T20:05:32.1602579Z - onnx_args: 2023-07-07T20:05:32.1602781Z - onnx_kwargs: 2023-07-07T20:05:32.1603303Z - diagnostic_context: 2023-07-07T20:05:32.1603571Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1604043Z [2023-07-07 20:02:53,402] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_100]. 2023-07-07T20:05:32.1604289Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1604298Z 2023-07-07T20:05:32.1604744Z [2023-07-07 20:02:53,402] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1605161Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1605170Z 2023-07-07T20:05:32.1605487Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1605958Z - self: 2023-07-07T20:05:32.1606312Z - node: fx.Node(unsqueeze_100[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1606511Z - aten_name: 2023-07-07T20:05:32.1606722Z - function_overloads: 2023-07-07T20:05:32.1606924Z - onnx_args: 2023-07-07T20:05:32.1607167Z - onnx_kwargs: 2023-07-07T20:05:32.1607740Z - diagnostic_context: 2023-07-07T20:05:32.1608016Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1608497Z [2023-07-07 20:02:53,403] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_101]. 2023-07-07T20:05:32.1608740Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1608752Z 2023-07-07T20:05:32.1609130Z [2023-07-07 20:02:53,403] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1609472Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1609481Z 2023-07-07T20:05:32.1609784Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1610250Z - self: 2023-07-07T20:05:32.1610608Z - node: fx.Node(unsqueeze_101[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1610804Z - aten_name: 2023-07-07T20:05:32.1611032Z - function_overloads: 2023-07-07T20:05:32.1611232Z - onnx_args: 2023-07-07T20:05:32.1611440Z - onnx_kwargs: 2023-07-07T20:05:32.1611956Z - diagnostic_context: 2023-07-07T20:05:32.1612227Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1612712Z [2023-07-07 20:02:53,406] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_102]. 2023-07-07T20:05:32.1612954Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1612962Z 2023-07-07T20:05:32.1613300Z [2023-07-07 20:02:53,406] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1613643Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1613655Z 2023-07-07T20:05:32.1613972Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1614434Z - self: 2023-07-07T20:05:32.1614789Z - node: fx.Node(unsqueeze_102[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1614973Z - aten_name: 2023-07-07T20:05:32.1615197Z - function_overloads: 2023-07-07T20:05:32.1615396Z - onnx_args: 2023-07-07T20:05:32.1615595Z - onnx_kwargs: 2023-07-07T20:05:32.1616125Z - diagnostic_context: 2023-07-07T20:05:32.1616383Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1616859Z [2023-07-07 20:02:53,407] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_103]. 2023-07-07T20:05:32.1617104Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1617112Z 2023-07-07T20:05:32.1617440Z [2023-07-07 20:02:53,407] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1617790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1617799Z 2023-07-07T20:05:32.1618154Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1618627Z - self: 2023-07-07T20:05:32.1618982Z - node: fx.Node(unsqueeze_103[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1619176Z - aten_name: 2023-07-07T20:05:32.1619406Z - function_overloads: 2023-07-07T20:05:32.1619603Z - onnx_args: 2023-07-07T20:05:32.1619792Z - onnx_kwargs: 2023-07-07T20:05:32.1620322Z - diagnostic_context: 2023-07-07T20:05:32.1620628Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1621173Z [2023-07-07 20:02:53,416] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:32.1621420Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1621429Z 2023-07-07T20:05:32.1621771Z [2023-07-07 20:02:53,416] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1622145Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1622153Z 2023-07-07T20:05:32.1622464Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1622922Z - self: 2023-07-07T20:05:32.1623276Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1623474Z - aten_name: 2023-07-07T20:05:32.1623700Z - function_overloads: 2023-07-07T20:05:32.1623906Z - onnx_args: 2023-07-07T20:05:32.1624110Z - onnx_kwargs: 2023-07-07T20:05:32.1624645Z - diagnostic_context: 2023-07-07T20:05:32.1625015Z - Return value: 2023-07-07T20:05:32.1625550Z [2023-07-07 20:02:53,420] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_26]. 2023-07-07T20:05:32.1625825Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1625833Z 2023-07-07T20:05:32.1626173Z [2023-07-07 20:02:53,420] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1626511Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1626522Z 2023-07-07T20:05:32.1626842Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1627315Z - self: 2023-07-07T20:05:32.1627738Z - node: fx.Node(convert_element_type_26[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1627932Z - aten_name: 2023-07-07T20:05:32.1628163Z - function_overloads: 2023-07-07T20:05:32.1628351Z - onnx_args: 2023-07-07T20:05:32.1628550Z - onnx_kwargs: 2023-07-07T20:05:32.1629078Z - diagnostic_context: 2023-07-07T20:05:32.1629393Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1629937Z [2023-07-07 20:02:53,421] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_27]. 2023-07-07T20:05:32.1630209Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1630218Z 2023-07-07T20:05:32.1630562Z [2023-07-07 20:02:53,421] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1630901Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1630910Z 2023-07-07T20:05:32.1631266Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1631719Z - self: 2023-07-07T20:05:32.1632137Z - node: fx.Node(convert_element_type_27[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1632329Z - aten_name: 2023-07-07T20:05:32.1632556Z - function_overloads: 2023-07-07T20:05:32.1632752Z - onnx_args: 2023-07-07T20:05:32.1632951Z - onnx_kwargs: 2023-07-07T20:05:32.1633514Z - diagnostic_context: 2023-07-07T20:05:32.1633846Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1634294Z [2023-07-07 20:02:53,426] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_13]. 2023-07-07T20:05:32.1634534Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1634542Z 2023-07-07T20:05:32.1634955Z [2023-07-07 20:02:53,426] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1635336Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1635348Z 2023-07-07T20:05:32.1635660Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1636124Z - self: 2023-07-07T20:05:32.1636446Z - node: fx.Node(tensor_int_13[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1636644Z - aten_name: 2023-07-07T20:05:32.1636863Z - function_overloads: 2023-07-07T20:05:32.1637059Z - onnx_args: 2023-07-07T20:05:32.1637263Z - onnx_kwargs: 2023-07-07T20:05:32.1637798Z - diagnostic_context: 2023-07-07T20:05:32.1638073Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1638558Z [2023-07-07 20:02:53,431] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_104]. 2023-07-07T20:05:32.1638804Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1638813Z 2023-07-07T20:05:32.1639155Z [2023-07-07 20:02:53,431] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1639487Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1639512Z 2023-07-07T20:05:32.1639809Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1640278Z - self: 2023-07-07T20:05:32.1640629Z - node: fx.Node(unsqueeze_104[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1640822Z - aten_name: 2023-07-07T20:05:32.1641054Z - function_overloads: 2023-07-07T20:05:32.1641253Z - onnx_args: 2023-07-07T20:05:32.1641455Z - onnx_kwargs: 2023-07-07T20:05:32.1641971Z - diagnostic_context: 2023-07-07T20:05:32.1642244Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1642720Z [2023-07-07 20:02:53,432] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_105]. 2023-07-07T20:05:32.1642960Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1642971Z 2023-07-07T20:05:32.1643310Z [2023-07-07 20:02:53,432] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1643658Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1643666Z 2023-07-07T20:05:32.1643978Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1644618Z - self: 2023-07-07T20:05:32.1644988Z - node: fx.Node(unsqueeze_105[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1645168Z - aten_name: 2023-07-07T20:05:32.1645395Z - function_overloads: 2023-07-07T20:05:32.1645593Z - onnx_args: 2023-07-07T20:05:32.1645799Z - onnx_kwargs: 2023-07-07T20:05:32.1646327Z - diagnostic_context: 2023-07-07T20:05:32.1646646Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1647179Z [2023-07-07 20:02:53,433] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_106]. 2023-07-07T20:05:32.1647407Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1647432Z 2023-07-07T20:05:32.1647757Z [2023-07-07 20:02:53,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1648109Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1648158Z 2023-07-07T20:05:32.1648473Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1648938Z - self: 2023-07-07T20:05:32.1649293Z - node: fx.Node(unsqueeze_106[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1649484Z - aten_name: 2023-07-07T20:05:32.1649718Z - function_overloads: 2023-07-07T20:05:32.1649920Z - onnx_args: 2023-07-07T20:05:32.1650107Z - onnx_kwargs: 2023-07-07T20:05:32.1650637Z - diagnostic_context: 2023-07-07T20:05:32.1650911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1651395Z [2023-07-07 20:02:53,434] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_107]. 2023-07-07T20:05:32.1651636Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1651646Z 2023-07-07T20:05:32.1651984Z [2023-07-07 20:02:53,434] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1652333Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1652341Z 2023-07-07T20:05:32.1652650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1653101Z - self: 2023-07-07T20:05:32.1653458Z - node: fx.Node(unsqueeze_107[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1653654Z - aten_name: 2023-07-07T20:05:32.1653882Z - function_overloads: 2023-07-07T20:05:32.1654080Z - onnx_args: 2023-07-07T20:05:32.1654286Z - onnx_kwargs: 2023-07-07T20:05:32.1654810Z - diagnostic_context: 2023-07-07T20:05:32.1655080Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1655555Z [2023-07-07 20:02:53,439] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_108]. 2023-07-07T20:05:32.1655797Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1655806Z 2023-07-07T20:05:32.1656144Z [2023-07-07 20:02:53,439] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1656495Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1656504Z 2023-07-07T20:05:32.1656819Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1657292Z - self: 2023-07-07T20:05:32.1657692Z - node: fx.Node(unsqueeze_108[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1657894Z - aten_name: 2023-07-07T20:05:32.1658102Z - function_overloads: 2023-07-07T20:05:32.1658296Z - onnx_args: 2023-07-07T20:05:32.1658499Z - onnx_kwargs: 2023-07-07T20:05:32.1659023Z - diagnostic_context: 2023-07-07T20:05:32.1659293Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1659775Z [2023-07-07 20:02:53,440] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_109]. 2023-07-07T20:05:32.1660078Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1660088Z 2023-07-07T20:05:32.1660428Z [2023-07-07 20:02:53,440] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1660763Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1660786Z 2023-07-07T20:05:32.1661093Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1661587Z - self: 2023-07-07T20:05:32.1661942Z - node: fx.Node(unsqueeze_109[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1662135Z - aten_name: 2023-07-07T20:05:32.1662360Z - function_overloads: 2023-07-07T20:05:32.1662556Z - onnx_args: 2023-07-07T20:05:32.1662759Z - onnx_kwargs: 2023-07-07T20:05:32.1663275Z - diagnostic_context: 2023-07-07T20:05:32.1663546Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1664028Z [2023-07-07 20:02:53,443] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_110]. 2023-07-07T20:05:32.1664271Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1664282Z 2023-07-07T20:05:32.1664621Z [2023-07-07 20:02:53,443] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1664966Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1664975Z 2023-07-07T20:05:32.1665288Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1665758Z - self: 2023-07-07T20:05:32.1666112Z - node: fx.Node(unsqueeze_110[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1666292Z - aten_name: 2023-07-07T20:05:32.1666517Z - function_overloads: 2023-07-07T20:05:32.1666715Z - onnx_args: 2023-07-07T20:05:32.1666914Z - onnx_kwargs: 2023-07-07T20:05:32.1667445Z - diagnostic_context: 2023-07-07T20:05:32.1667713Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1668206Z [2023-07-07 20:02:53,444] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_111]. 2023-07-07T20:05:32.1668446Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1668454Z 2023-07-07T20:05:32.1668780Z [2023-07-07 20:02:53,444] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1669130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1669142Z 2023-07-07T20:05:32.1669457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1669930Z - self: 2023-07-07T20:05:32.1670292Z - node: fx.Node(unsqueeze_111[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1670538Z - aten_name: 2023-07-07T20:05:32.1670773Z - function_overloads: 2023-07-07T20:05:32.1670974Z - onnx_args: 2023-07-07T20:05:32.1671165Z - onnx_kwargs: 2023-07-07T20:05:32.1671694Z - diagnostic_context: 2023-07-07T20:05:32.1671964Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1672457Z [2023-07-07 20:02:53,450] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:32.1672741Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1672750Z 2023-07-07T20:05:32.1673120Z [2023-07-07 20:02:53,450] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1673469Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1673478Z 2023-07-07T20:05:32.1673793Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1674294Z - self: 2023-07-07T20:05:32.1674722Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1674920Z - aten_name: 2023-07-07T20:05:32.1675153Z - function_overloads: 2023-07-07T20:05:32.1675350Z - onnx_args: 2023-07-07T20:05:32.1675551Z - onnx_kwargs: 2023-07-07T20:05:32.1676085Z - diagnostic_context: 2023-07-07T20:05:32.1676460Z - Return value: 2023-07-07T20:05:32.1676992Z [2023-07-07 20:02:53,454] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_28]. 2023-07-07T20:05:32.1677262Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1677275Z 2023-07-07T20:05:32.1677614Z [2023-07-07 20:02:53,454] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1677959Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1677968Z 2023-07-07T20:05:32.1678283Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1678748Z - self: 2023-07-07T20:05:32.1679165Z - node: fx.Node(convert_element_type_28[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1679364Z - aten_name: 2023-07-07T20:05:32.1679592Z - function_overloads: 2023-07-07T20:05:32.1679777Z - onnx_args: 2023-07-07T20:05:32.1679982Z - onnx_kwargs: 2023-07-07T20:05:32.1680510Z - diagnostic_context: 2023-07-07T20:05:32.1680829Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1681372Z [2023-07-07 20:02:53,455] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_29]. 2023-07-07T20:05:32.1681643Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1681652Z 2023-07-07T20:05:32.1681987Z [2023-07-07 20:02:53,455] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1682335Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1682346Z 2023-07-07T20:05:32.1682663Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1683113Z - self: 2023-07-07T20:05:32.1683532Z - node: fx.Node(convert_element_type_29[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1683767Z - aten_name: 2023-07-07T20:05:32.1683994Z - function_overloads: 2023-07-07T20:05:32.1684197Z - onnx_args: 2023-07-07T20:05:32.1684489Z - onnx_kwargs: 2023-07-07T20:05:32.1685019Z - diagnostic_context: 2023-07-07T20:05:32.1685326Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1685779Z [2023-07-07 20:02:53,459] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_14]. 2023-07-07T20:05:32.1686079Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1686089Z 2023-07-07T20:05:32.1686480Z [2023-07-07 20:02:53,459] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1686830Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1686839Z 2023-07-07T20:05:32.1687159Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1687702Z - self: 2023-07-07T20:05:32.1688026Z - node: fx.Node(tensor_int_14[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1688220Z - aten_name: 2023-07-07T20:05:32.1688437Z - function_overloads: 2023-07-07T20:05:32.1688638Z - onnx_args: 2023-07-07T20:05:32.1688839Z - onnx_kwargs: 2023-07-07T20:05:32.1689366Z - diagnostic_context: 2023-07-07T20:05:32.1689639Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1690122Z [2023-07-07 20:02:53,464] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_112]. 2023-07-07T20:05:32.1690369Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1690378Z 2023-07-07T20:05:32.1690720Z [2023-07-07 20:02:53,464] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1691058Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1691066Z 2023-07-07T20:05:32.1691382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1691843Z - self: 2023-07-07T20:05:32.1692204Z - node: fx.Node(unsqueeze_112[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1692402Z - aten_name: 2023-07-07T20:05:32.1692629Z - function_overloads: 2023-07-07T20:05:32.1692824Z - onnx_args: 2023-07-07T20:05:32.1693023Z - onnx_kwargs: 2023-07-07T20:05:32.1693534Z - diagnostic_context: 2023-07-07T20:05:32.1693807Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1694289Z [2023-07-07 20:02:53,465] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_113]. 2023-07-07T20:05:32.1694530Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1694538Z 2023-07-07T20:05:32.1694874Z [2023-07-07 20:02:53,465] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1695222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1695234Z 2023-07-07T20:05:32.1695550Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1696012Z - self: 2023-07-07T20:05:32.1696364Z - node: fx.Node(unsqueeze_113[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1696549Z - aten_name: 2023-07-07T20:05:32.1696823Z - function_overloads: 2023-07-07T20:05:32.1697023Z - onnx_args: 2023-07-07T20:05:32.1697228Z - onnx_kwargs: 2023-07-07T20:05:32.1697752Z - diagnostic_context: 2023-07-07T20:05:32.1698021Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1698494Z [2023-07-07 20:02:53,466] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_114]. 2023-07-07T20:05:32.1698720Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1698771Z 2023-07-07T20:05:32.1699111Z [2023-07-07 20:02:53,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1699495Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1699505Z 2023-07-07T20:05:32.1699820Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1700287Z - self: 2023-07-07T20:05:32.1700676Z - node: fx.Node(unsqueeze_114[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1700873Z - aten_name: 2023-07-07T20:05:32.1701100Z - function_overloads: 2023-07-07T20:05:32.1701300Z - onnx_args: 2023-07-07T20:05:32.1701486Z - onnx_kwargs: 2023-07-07T20:05:32.1702018Z - diagnostic_context: 2023-07-07T20:05:32.1702291Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1702774Z [2023-07-07 20:02:53,467] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_115]. 2023-07-07T20:05:32.1703011Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1703020Z 2023-07-07T20:05:32.1703361Z [2023-07-07 20:02:53,467] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1703710Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1703724Z 2023-07-07T20:05:32.1704036Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1704492Z - self: 2023-07-07T20:05:32.1704851Z - node: fx.Node(unsqueeze_115[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1705047Z - aten_name: 2023-07-07T20:05:32.1705283Z - function_overloads: 2023-07-07T20:05:32.1705481Z - onnx_args: 2023-07-07T20:05:32.1705685Z - onnx_kwargs: 2023-07-07T20:05:32.1706207Z - diagnostic_context: 2023-07-07T20:05:32.1706471Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1706943Z [2023-07-07 20:02:53,471] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_116]. 2023-07-07T20:05:32.1707188Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1707197Z 2023-07-07T20:05:32.1707537Z [2023-07-07 20:02:53,471] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1707881Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1707890Z 2023-07-07T20:05:32.1708204Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1708673Z - self: 2023-07-07T20:05:32.1709031Z - node: fx.Node(unsqueeze_116[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1709226Z - aten_name: 2023-07-07T20:05:32.1709441Z - function_overloads: 2023-07-07T20:05:32.1709645Z - onnx_args: 2023-07-07T20:05:32.1709885Z - onnx_kwargs: 2023-07-07T20:05:32.1710417Z - diagnostic_context: 2023-07-07T20:05:32.1710689Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1711173Z [2023-07-07 20:02:53,473] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_117]. 2023-07-07T20:05:32.1711414Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1711425Z 2023-07-07T20:05:32.1711759Z [2023-07-07 20:02:53,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1712160Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1712184Z 2023-07-07T20:05:32.1712490Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1712959Z - self: 2023-07-07T20:05:32.1713311Z - node: fx.Node(unsqueeze_117[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1713539Z - aten_name: 2023-07-07T20:05:32.1713766Z - function_overloads: 2023-07-07T20:05:32.1713964Z - onnx_args: 2023-07-07T20:05:32.1714169Z - onnx_kwargs: 2023-07-07T20:05:32.1714751Z - diagnostic_context: 2023-07-07T20:05:32.1715028Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1715508Z [2023-07-07 20:02:53,475] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_118]. 2023-07-07T20:05:32.1715757Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1715767Z 2023-07-07T20:05:32.1716108Z [2023-07-07 20:02:53,475] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1716455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1716464Z 2023-07-07T20:05:32.1716778Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1717245Z - self: 2023-07-07T20:05:32.1717605Z - node: fx.Node(unsqueeze_118[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1717788Z - aten_name: 2023-07-07T20:05:32.1718014Z - function_overloads: 2023-07-07T20:05:32.1718210Z - onnx_args: 2023-07-07T20:05:32.1718419Z - onnx_kwargs: 2023-07-07T20:05:32.1718949Z - diagnostic_context: 2023-07-07T20:05:32.1719222Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1719699Z [2023-07-07 20:02:53,477] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_119]. 2023-07-07T20:05:32.1719927Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1719949Z 2023-07-07T20:05:32.1720275Z [2023-07-07 20:02:53,477] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1720620Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1720629Z 2023-07-07T20:05:32.1720943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1721406Z - self: 2023-07-07T20:05:32.1721769Z - node: fx.Node(unsqueeze_119[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1721965Z - aten_name: 2023-07-07T20:05:32.1722187Z - function_overloads: 2023-07-07T20:05:32.1722390Z - onnx_args: 2023-07-07T20:05:32.1722574Z - onnx_kwargs: 2023-07-07T20:05:32.1723159Z - diagnostic_context: 2023-07-07T20:05:32.1723435Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1723938Z [2023-07-07 20:02:53,485] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:32.1724182Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1724190Z 2023-07-07T20:05:32.1724619Z [2023-07-07 20:02:53,485] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1724967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1725043Z 2023-07-07T20:05:32.1725400Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1725873Z - self: 2023-07-07T20:05:32.1726221Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1726409Z - aten_name: 2023-07-07T20:05:32.1726638Z - function_overloads: 2023-07-07T20:05:32.1726881Z - onnx_args: 2023-07-07T20:05:32.1727080Z - onnx_kwargs: 2023-07-07T20:05:32.1727606Z - diagnostic_context: 2023-07-07T20:05:32.1727969Z - Return value: 2023-07-07T20:05:32.1728507Z [2023-07-07 20:02:53,488] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_30]. 2023-07-07T20:05:32.1728782Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1728792Z 2023-07-07T20:05:32.1729135Z [2023-07-07 20:02:53,488] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1729478Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1729487Z 2023-07-07T20:05:32.1729800Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1730267Z - self: 2023-07-07T20:05:32.1730691Z - node: fx.Node(convert_element_type_30[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1730884Z - aten_name: 2023-07-07T20:05:32.1731112Z - function_overloads: 2023-07-07T20:05:32.1731294Z - onnx_args: 2023-07-07T20:05:32.1731490Z - onnx_kwargs: 2023-07-07T20:05:32.1732020Z - diagnostic_context: 2023-07-07T20:05:32.1732339Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1732887Z [2023-07-07 20:02:53,489] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_31]. 2023-07-07T20:05:32.1733159Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1733167Z 2023-07-07T20:05:32.1733512Z [2023-07-07 20:02:53,489] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1733861Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1733870Z 2023-07-07T20:05:32.1734185Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1734638Z - self: 2023-07-07T20:05:32.1735057Z - node: fx.Node(convert_element_type_31[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1735255Z - aten_name: 2023-07-07T20:05:32.1735481Z - function_overloads: 2023-07-07T20:05:32.1735679Z - onnx_args: 2023-07-07T20:05:32.1735877Z - onnx_kwargs: 2023-07-07T20:05:32.1736461Z - diagnostic_context: 2023-07-07T20:05:32.1736764Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1737209Z [2023-07-07 20:02:53,494] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_15]. 2023-07-07T20:05:32.1737447Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1737456Z 2023-07-07T20:05:32.1737795Z [2023-07-07 20:02:53,494] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1738137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1738181Z 2023-07-07T20:05:32.1738522Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1738990Z - self: 2023-07-07T20:05:32.1739314Z - node: fx.Node(tensor_int_15[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1739515Z - aten_name: 2023-07-07T20:05:32.1739762Z - function_overloads: 2023-07-07T20:05:32.1739962Z - onnx_args: 2023-07-07T20:05:32.1740165Z - onnx_kwargs: 2023-07-07T20:05:32.1740696Z - diagnostic_context: 2023-07-07T20:05:32.1740970Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1741449Z [2023-07-07 20:02:53,498] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_120]. 2023-07-07T20:05:32.1741692Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1741700Z 2023-07-07T20:05:32.1742037Z [2023-07-07 20:02:53,498] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1742367Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1742375Z 2023-07-07T20:05:32.1742690Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1743155Z - self: 2023-07-07T20:05:32.1743504Z - node: fx.Node(unsqueeze_120[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1743696Z - aten_name: 2023-07-07T20:05:32.1743927Z - function_overloads: 2023-07-07T20:05:32.1744123Z - onnx_args: 2023-07-07T20:05:32.1744327Z - onnx_kwargs: 2023-07-07T20:05:32.1744841Z - diagnostic_context: 2023-07-07T20:05:32.1745122Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1745599Z [2023-07-07 20:02:53,499] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_121]. 2023-07-07T20:05:32.1745842Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1745851Z 2023-07-07T20:05:32.1746197Z [2023-07-07 20:02:53,499] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1746545Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1746553Z 2023-07-07T20:05:32.1746867Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1747338Z - self: 2023-07-07T20:05:32.1747698Z - node: fx.Node(unsqueeze_121[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1747881Z - aten_name: 2023-07-07T20:05:32.1748103Z - function_overloads: 2023-07-07T20:05:32.1748304Z - onnx_args: 2023-07-07T20:05:32.1748501Z - onnx_kwargs: 2023-07-07T20:05:32.1749029Z - diagnostic_context: 2023-07-07T20:05:32.1749343Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1749827Z [2023-07-07 20:02:53,501] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_122]. 2023-07-07T20:05:32.1750056Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1750064Z 2023-07-07T20:05:32.1750400Z [2023-07-07 20:02:53,501] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1750743Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1750752Z 2023-07-07T20:05:32.1751112Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1751611Z - self: 2023-07-07T20:05:32.1751973Z - node: fx.Node(unsqueeze_122[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1752167Z - aten_name: 2023-07-07T20:05:32.1752396Z - function_overloads: 2023-07-07T20:05:32.1752580Z - onnx_args: 2023-07-07T20:05:32.1752814Z - onnx_kwargs: 2023-07-07T20:05:32.1753347Z - diagnostic_context: 2023-07-07T20:05:32.1753621Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1754102Z [2023-07-07 20:02:53,502] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_123]. 2023-07-07T20:05:32.1754344Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1754356Z 2023-07-07T20:05:32.1754762Z [2023-07-07 20:02:53,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1755113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1755122Z 2023-07-07T20:05:32.1755438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1755890Z - self: 2023-07-07T20:05:32.1756247Z - node: fx.Node(unsqueeze_123[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1756441Z - aten_name: 2023-07-07T20:05:32.1756672Z - function_overloads: 2023-07-07T20:05:32.1756868Z - onnx_args: 2023-07-07T20:05:32.1757072Z - onnx_kwargs: 2023-07-07T20:05:32.1757600Z - diagnostic_context: 2023-07-07T20:05:32.1757858Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1758340Z [2023-07-07 20:02:53,506] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_124]. 2023-07-07T20:05:32.1758578Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1758586Z 2023-07-07T20:05:32.1758925Z [2023-07-07 20:02:53,506] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1759274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1759285Z 2023-07-07T20:05:32.1759600Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1760061Z - self: 2023-07-07T20:05:32.1760415Z - node: fx.Node(unsqueeze_124[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1760612Z - aten_name: 2023-07-07T20:05:32.1760827Z - function_overloads: 2023-07-07T20:05:32.1761025Z - onnx_args: 2023-07-07T20:05:32.1761227Z - onnx_kwargs: 2023-07-07T20:05:32.1761756Z - diagnostic_context: 2023-07-07T20:05:32.1762027Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1762552Z [2023-07-07 20:02:53,507] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_125]. 2023-07-07T20:05:32.1762793Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1762804Z 2023-07-07T20:05:32.1763145Z [2023-07-07 20:02:53,507] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1763478Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1763501Z 2023-07-07T20:05:32.1763804Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1764296Z - self: 2023-07-07T20:05:32.1764862Z - node: fx.Node(unsqueeze_125[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1765063Z - aten_name: 2023-07-07T20:05:32.1765293Z - function_overloads: 2023-07-07T20:05:32.1765487Z - onnx_args: 2023-07-07T20:05:32.1765689Z - onnx_kwargs: 2023-07-07T20:05:32.1766209Z - diagnostic_context: 2023-07-07T20:05:32.1766515Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1767002Z [2023-07-07 20:02:53,509] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_126]. 2023-07-07T20:05:32.1767239Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1767256Z 2023-07-07T20:05:32.1767594Z [2023-07-07 20:02:53,509] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1767940Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1767952Z 2023-07-07T20:05:32.1768265Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1768732Z - self: 2023-07-07T20:05:32.1769094Z - node: fx.Node(unsqueeze_126[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1769273Z - aten_name: 2023-07-07T20:05:32.1769501Z - function_overloads: 2023-07-07T20:05:32.1769698Z - onnx_args: 2023-07-07T20:05:32.1769896Z - onnx_kwargs: 2023-07-07T20:05:32.1770428Z - diagnostic_context: 2023-07-07T20:05:32.1770696Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1771181Z [2023-07-07 20:02:53,510] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_127]. 2023-07-07T20:05:32.1771415Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1771438Z 2023-07-07T20:05:32.1771763Z [2023-07-07 20:02:53,510] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1772110Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1772121Z 2023-07-07T20:05:32.1772436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1772900Z - self: 2023-07-07T20:05:32.1773255Z - node: fx.Node(unsqueeze_127[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1773451Z - aten_name: 2023-07-07T20:05:32.1773679Z - function_overloads: 2023-07-07T20:05:32.1773879Z - onnx_args: 2023-07-07T20:05:32.1774070Z - onnx_kwargs: 2023-07-07T20:05:32.1774610Z - diagnostic_context: 2023-07-07T20:05:32.1774883Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1775381Z [2023-07-07 20:02:53,517] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:32.1775692Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1775702Z 2023-07-07T20:05:32.1776046Z [2023-07-07 20:02:53,517] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1776390Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1776399Z 2023-07-07T20:05:32.1776718Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1777169Z - self: 2023-07-07T20:05:32.1777589Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1777834Z - aten_name: 2023-07-07T20:05:32.1778064Z - function_overloads: 2023-07-07T20:05:32.1778263Z - onnx_args: 2023-07-07T20:05:32.1778461Z - onnx_kwargs: 2023-07-07T20:05:32.1778990Z - diagnostic_context: 2023-07-07T20:05:32.1779357Z - Return value: 2023-07-07T20:05:32.1779929Z [2023-07-07 20:02:53,520] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_32]. 2023-07-07T20:05:32.1780198Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1780207Z 2023-07-07T20:05:32.1780544Z [2023-07-07 20:02:53,520] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1780887Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1780898Z 2023-07-07T20:05:32.1781214Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1781681Z - self: 2023-07-07T20:05:32.1782098Z - node: fx.Node(convert_element_type_32[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1782293Z - aten_name: 2023-07-07T20:05:32.1782523Z - function_overloads: 2023-07-07T20:05:32.1782709Z - onnx_args: 2023-07-07T20:05:32.1782914Z - onnx_kwargs: 2023-07-07T20:05:32.1783446Z - diagnostic_context: 2023-07-07T20:05:32.1783763Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1784303Z [2023-07-07 20:02:53,521] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_33]. 2023-07-07T20:05:32.1784578Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1784589Z 2023-07-07T20:05:32.1784931Z [2023-07-07 20:02:53,521] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1785281Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1785290Z 2023-07-07T20:05:32.1785589Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1786050Z - self: 2023-07-07T20:05:32.1786475Z - node: fx.Node(convert_element_type_33[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1786671Z - aten_name: 2023-07-07T20:05:32.1786894Z - function_overloads: 2023-07-07T20:05:32.1787096Z - onnx_args: 2023-07-07T20:05:32.1787300Z - onnx_kwargs: 2023-07-07T20:05:32.1787835Z - diagnostic_context: 2023-07-07T20:05:32.1788139Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1788587Z [2023-07-07 20:02:53,526] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_16]. 2023-07-07T20:05:32.1788870Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1788883Z 2023-07-07T20:05:32.1789223Z [2023-07-07 20:02:53,526] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1789568Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1789576Z 2023-07-07T20:05:32.1789895Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1790363Z - self: 2023-07-07T20:05:32.1790724Z - node: fx.Node(tensor_int_16[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1790979Z - aten_name: 2023-07-07T20:05:32.1791197Z - function_overloads: 2023-07-07T20:05:32.1791392Z - onnx_args: 2023-07-07T20:05:32.1791591Z - onnx_kwargs: 2023-07-07T20:05:32.1792123Z - diagnostic_context: 2023-07-07T20:05:32.1792395Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1792912Z [2023-07-07 20:02:53,530] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_128]. 2023-07-07T20:05:32.1793152Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1793161Z 2023-07-07T20:05:32.1793498Z [2023-07-07 20:02:53,531] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1793828Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1793841Z 2023-07-07T20:05:32.1794158Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1794686Z - self: 2023-07-07T20:05:32.1795048Z - node: fx.Node(unsqueeze_128[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1795246Z - aten_name: 2023-07-07T20:05:32.1795477Z - function_overloads: 2023-07-07T20:05:32.1795679Z - onnx_args: 2023-07-07T20:05:32.1795880Z - onnx_kwargs: 2023-07-07T20:05:32.1796404Z - diagnostic_context: 2023-07-07T20:05:32.1796676Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1797158Z [2023-07-07 20:02:53,532] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_129]. 2023-07-07T20:05:32.1797404Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1797414Z 2023-07-07T20:05:32.1797758Z [2023-07-07 20:02:53,532] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1798106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1798114Z 2023-07-07T20:05:32.1798430Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1798893Z - self: 2023-07-07T20:05:32.1799233Z - node: fx.Node(unsqueeze_129[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1799429Z - aten_name: 2023-07-07T20:05:32.1799658Z - function_overloads: 2023-07-07T20:05:32.1799861Z - onnx_args: 2023-07-07T20:05:32.1800060Z - onnx_kwargs: 2023-07-07T20:05:32.1800592Z - diagnostic_context: 2023-07-07T20:05:32.1800870Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1801355Z [2023-07-07 20:02:53,533] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_130]. 2023-07-07T20:05:32.1801581Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1801590Z 2023-07-07T20:05:32.1801977Z [2023-07-07 20:02:53,533] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1802325Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1802334Z 2023-07-07T20:05:32.1802651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1803115Z - self: 2023-07-07T20:05:32.1803472Z - node: fx.Node(unsqueeze_130[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1803707Z - aten_name: 2023-07-07T20:05:32.1803933Z - function_overloads: 2023-07-07T20:05:32.1804150Z - onnx_args: 2023-07-07T20:05:32.1804357Z - onnx_kwargs: 2023-07-07T20:05:32.1805108Z - diagnostic_context: 2023-07-07T20:05:32.1805384Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1805864Z [2023-07-07 20:02:53,534] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_131]. 2023-07-07T20:05:32.1806180Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1806190Z 2023-07-07T20:05:32.1806525Z [2023-07-07 20:02:53,534] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1806869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1806878Z 2023-07-07T20:05:32.1807191Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1807646Z - self: 2023-07-07T20:05:32.1807998Z - node: fx.Node(unsqueeze_131[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1808190Z - aten_name: 2023-07-07T20:05:32.1808420Z - function_overloads: 2023-07-07T20:05:32.1808621Z - onnx_args: 2023-07-07T20:05:32.1808825Z - onnx_kwargs: 2023-07-07T20:05:32.1809359Z - diagnostic_context: 2023-07-07T20:05:32.1809613Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1810090Z [2023-07-07 20:02:53,538] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_132]. 2023-07-07T20:05:32.1810334Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1810347Z 2023-07-07T20:05:32.1810683Z [2023-07-07 20:02:53,538] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1811029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1811039Z 2023-07-07T20:05:32.1811349Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1811820Z - self: 2023-07-07T20:05:32.1812182Z - node: fx.Node(unsqueeze_132[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1812376Z - aten_name: 2023-07-07T20:05:32.1812595Z - function_overloads: 2023-07-07T20:05:32.1812795Z - onnx_args: 2023-07-07T20:05:32.1812995Z - onnx_kwargs: 2023-07-07T20:05:32.1813521Z - diagnostic_context: 2023-07-07T20:05:32.1813794Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1814278Z [2023-07-07 20:02:53,539] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_133]. 2023-07-07T20:05:32.1814522Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1814530Z 2023-07-07T20:05:32.1814867Z [2023-07-07 20:02:53,539] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1815262Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1815290Z 2023-07-07T20:05:32.1815594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1816064Z - self: 2023-07-07T20:05:32.1816418Z - node: fx.Node(unsqueeze_133[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1816614Z - aten_name: 2023-07-07T20:05:32.1816838Z - function_overloads: 2023-07-07T20:05:32.1817083Z - onnx_args: 2023-07-07T20:05:32.1817281Z - onnx_kwargs: 2023-07-07T20:05:32.1817839Z - diagnostic_context: 2023-07-07T20:05:32.1818116Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1818604Z [2023-07-07 20:02:53,542] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_134]. 2023-07-07T20:05:32.1818843Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1818889Z 2023-07-07T20:05:32.1819225Z [2023-07-07 20:02:53,542] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1819571Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1819580Z 2023-07-07T20:05:32.1819894Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1820363Z - self: 2023-07-07T20:05:32.1820721Z - node: fx.Node(unsqueeze_134[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1820900Z - aten_name: 2023-07-07T20:05:32.1821126Z - function_overloads: 2023-07-07T20:05:32.1821322Z - onnx_args: 2023-07-07T20:05:32.1821525Z - onnx_kwargs: 2023-07-07T20:05:32.1822062Z - diagnostic_context: 2023-07-07T20:05:32.1822354Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1822835Z [2023-07-07 20:02:53,543] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_135]. 2023-07-07T20:05:32.1823059Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1823083Z 2023-07-07T20:05:32.1823403Z [2023-07-07 20:02:53,543] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1823748Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1823760Z 2023-07-07T20:05:32.1824074Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1824538Z - self: 2023-07-07T20:05:32.1824901Z - node: fx.Node(unsqueeze_135[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1825097Z - aten_name: 2023-07-07T20:05:32.1825329Z - function_overloads: 2023-07-07T20:05:32.1825524Z - onnx_args: 2023-07-07T20:05:32.1825710Z - onnx_kwargs: 2023-07-07T20:05:32.1826246Z - diagnostic_context: 2023-07-07T20:05:32.1826516Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1827014Z [2023-07-07 20:02:53,546] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:32.1827265Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1827273Z 2023-07-07T20:05:32.1827613Z [2023-07-07 20:02:53,546] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1827958Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1828033Z 2023-07-07T20:05:32.1828346Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1828794Z - self: 2023-07-07T20:05:32.1829164Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1829359Z - aten_name: 2023-07-07T20:05:32.1829585Z - function_overloads: 2023-07-07T20:05:32.1829783Z - onnx_args: 2023-07-07T20:05:32.1830026Z - onnx_kwargs: 2023-07-07T20:05:32.1830596Z - diagnostic_context: 2023-07-07T20:05:32.1830961Z - Return value: 2023-07-07T20:05:32.1831497Z [2023-07-07 20:02:53,549] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_34]. 2023-07-07T20:05:32.1831770Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1831813Z 2023-07-07T20:05:32.1832152Z [2023-07-07 20:02:53,549] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1832496Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1832505Z 2023-07-07T20:05:32.1832813Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1833285Z - self: 2023-07-07T20:05:32.1833714Z - node: fx.Node(convert_element_type_34[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1833909Z - aten_name: 2023-07-07T20:05:32.1834144Z - function_overloads: 2023-07-07T20:05:32.1834328Z - onnx_args: 2023-07-07T20:05:32.1834527Z - onnx_kwargs: 2023-07-07T20:05:32.1835133Z - diagnostic_context: 2023-07-07T20:05:32.1835458Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1836007Z [2023-07-07 20:02:53,551] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_35]. 2023-07-07T20:05:32.1836281Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1836289Z 2023-07-07T20:05:32.1836630Z [2023-07-07 20:02:53,551] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1836976Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1836988Z 2023-07-07T20:05:32.1837288Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1837752Z - self: 2023-07-07T20:05:32.1838179Z - node: fx.Node(convert_element_type_35[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1838375Z - aten_name: 2023-07-07T20:05:32.1838601Z - function_overloads: 2023-07-07T20:05:32.1838799Z - onnx_args: 2023-07-07T20:05:32.1839002Z - onnx_kwargs: 2023-07-07T20:05:32.1839528Z - diagnostic_context: 2023-07-07T20:05:32.1839835Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1840284Z [2023-07-07 20:02:53,555] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_17]. 2023-07-07T20:05:32.1840529Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1840537Z 2023-07-07T20:05:32.1840874Z [2023-07-07 20:02:53,555] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1841271Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1841281Z 2023-07-07T20:05:32.1841593Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1842055Z - self: 2023-07-07T20:05:32.1842381Z - node: fx.Node(tensor_int_17[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1842578Z - aten_name: 2023-07-07T20:05:32.1842795Z - function_overloads: 2023-07-07T20:05:32.1842991Z - onnx_args: 2023-07-07T20:05:32.1843225Z - onnx_kwargs: 2023-07-07T20:05:32.1843783Z - diagnostic_context: 2023-07-07T20:05:32.1844054Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1844641Z [2023-07-07 20:02:53,560] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_136]. 2023-07-07T20:05:32.1844895Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1844904Z 2023-07-07T20:05:32.1845293Z [2023-07-07 20:02:53,560] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1845636Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1845644Z 2023-07-07T20:05:32.1845957Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1846424Z - self: 2023-07-07T20:05:32.1846783Z - node: fx.Node(unsqueeze_136[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1846982Z - aten_name: 2023-07-07T20:05:32.1847209Z - function_overloads: 2023-07-07T20:05:32.1847412Z - onnx_args: 2023-07-07T20:05:32.1847598Z - onnx_kwargs: 2023-07-07T20:05:32.1848133Z - diagnostic_context: 2023-07-07T20:05:32.1848401Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1848887Z [2023-07-07 20:02:53,561] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_137]. 2023-07-07T20:05:32.1849130Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1849138Z 2023-07-07T20:05:32.1849484Z [2023-07-07 20:02:53,561] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1849833Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1849845Z 2023-07-07T20:05:32.1850160Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1850622Z - self: 2023-07-07T20:05:32.1850967Z - node: fx.Node(unsqueeze_137[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1851164Z - aten_name: 2023-07-07T20:05:32.1851391Z - function_overloads: 2023-07-07T20:05:32.1851591Z - onnx_args: 2023-07-07T20:05:32.1851791Z - onnx_kwargs: 2023-07-07T20:05:32.1852317Z - diagnostic_context: 2023-07-07T20:05:32.1852586Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1853073Z [2023-07-07 20:02:53,562] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_138]. 2023-07-07T20:05:32.1853301Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1853310Z 2023-07-07T20:05:32.1853651Z [2023-07-07 20:02:53,562] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1853995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1854004Z 2023-07-07T20:05:32.1854368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1854838Z - self: 2023-07-07T20:05:32.1855195Z - node: fx.Node(unsqueeze_138[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1855385Z - aten_name: 2023-07-07T20:05:32.1855613Z - function_overloads: 2023-07-07T20:05:32.1855800Z - onnx_args: 2023-07-07T20:05:32.1856004Z - onnx_kwargs: 2023-07-07T20:05:32.1856537Z - diagnostic_context: 2023-07-07T20:05:32.1856859Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1857383Z [2023-07-07 20:02:53,563] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_139]. 2023-07-07T20:05:32.1857628Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1857637Z 2023-07-07T20:05:32.1857983Z [2023-07-07 20:02:53,563] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1858365Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1858374Z 2023-07-07T20:05:32.1858687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1859137Z - self: 2023-07-07T20:05:32.1859492Z - node: fx.Node(unsqueeze_139[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1859691Z - aten_name: 2023-07-07T20:05:32.1859917Z - function_overloads: 2023-07-07T20:05:32.1860119Z - onnx_args: 2023-07-07T20:05:32.1860319Z - onnx_kwargs: 2023-07-07T20:05:32.1860851Z - diagnostic_context: 2023-07-07T20:05:32.1861105Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1861584Z [2023-07-07 20:02:53,567] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_140]. 2023-07-07T20:05:32.1861829Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1861837Z 2023-07-07T20:05:32.1862181Z [2023-07-07 20:02:53,567] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1862523Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1862532Z 2023-07-07T20:05:32.1862855Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1863319Z - self: 2023-07-07T20:05:32.1863672Z - node: fx.Node(unsqueeze_140[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1863866Z - aten_name: 2023-07-07T20:05:32.1864077Z - function_overloads: 2023-07-07T20:05:32.1864278Z - onnx_args: 2023-07-07T20:05:32.1864477Z - onnx_kwargs: 2023-07-07T20:05:32.1865006Z - diagnostic_context: 2023-07-07T20:05:32.1865271Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1865752Z [2023-07-07 20:02:53,569] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_141]. 2023-07-07T20:05:32.1865992Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1866002Z 2023-07-07T20:05:32.1866347Z [2023-07-07 20:02:53,569] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1866677Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1866685Z 2023-07-07T20:05:32.1866999Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1867502Z - self: 2023-07-07T20:05:32.1867863Z - node: fx.Node(unsqueeze_141[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1868054Z - aten_name: 2023-07-07T20:05:32.1868283Z - function_overloads: 2023-07-07T20:05:32.1868480Z - onnx_args: 2023-07-07T20:05:32.1868680Z - onnx_kwargs: 2023-07-07T20:05:32.1869198Z - diagnostic_context: 2023-07-07T20:05:32.1869473Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1870038Z [2023-07-07 20:02:53,571] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_142]. 2023-07-07T20:05:32.1870281Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1870290Z 2023-07-07T20:05:32.1870630Z [2023-07-07 20:02:53,571] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1870986Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1871028Z 2023-07-07T20:05:32.1871344Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1871807Z - self: 2023-07-07T20:05:32.1872159Z - node: fx.Node(unsqueeze_142[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1872337Z - aten_name: 2023-07-07T20:05:32.1872561Z - function_overloads: 2023-07-07T20:05:32.1872761Z - onnx_args: 2023-07-07T20:05:32.1872962Z - onnx_kwargs: 2023-07-07T20:05:32.1873492Z - diagnostic_context: 2023-07-07T20:05:32.1873762Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1874244Z [2023-07-07 20:02:53,572] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_143]. 2023-07-07T20:05:32.1874470Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1874481Z 2023-07-07T20:05:32.1874895Z [2023-07-07 20:02:53,572] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1875243Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1875252Z 2023-07-07T20:05:32.1875567Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1876035Z - self: 2023-07-07T20:05:32.1876390Z - node: fx.Node(unsqueeze_143[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1876582Z - aten_name: 2023-07-07T20:05:32.1876810Z - function_overloads: 2023-07-07T20:05:32.1876994Z - onnx_args: 2023-07-07T20:05:32.1877195Z - onnx_kwargs: 2023-07-07T20:05:32.1877727Z - diagnostic_context: 2023-07-07T20:05:32.1878001Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1878496Z [2023-07-07 20:02:53,580] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:32.1878741Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1878752Z 2023-07-07T20:05:32.1879099Z [2023-07-07 20:02:53,580] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1879446Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1879458Z 2023-07-07T20:05:32.1879764Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1880216Z - self: 2023-07-07T20:05:32.1880632Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1880837Z - aten_name: 2023-07-07T20:05:32.1881066Z - function_overloads: 2023-07-07T20:05:32.1881268Z - onnx_args: 2023-07-07T20:05:32.1881464Z - onnx_kwargs: 2023-07-07T20:05:32.1881990Z - diagnostic_context: 2023-07-07T20:05:32.1882352Z - Return value: 2023-07-07T20:05:32.1882890Z [2023-07-07 20:02:53,583] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_36]. 2023-07-07T20:05:32.1883225Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1883237Z 2023-07-07T20:05:32.1883577Z [2023-07-07 20:02:53,583] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1883920Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1883928Z 2023-07-07T20:05:32.1884275Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1884847Z - self: 2023-07-07T20:05:32.1885275Z - node: fx.Node(convert_element_type_36[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1885473Z - aten_name: 2023-07-07T20:05:32.1885699Z - function_overloads: 2023-07-07T20:05:32.1885883Z - onnx_args: 2023-07-07T20:05:32.1886087Z - onnx_kwargs: 2023-07-07T20:05:32.1886618Z - diagnostic_context: 2023-07-07T20:05:32.1886938Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1887472Z [2023-07-07 20:02:53,584] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_37]. 2023-07-07T20:05:32.1887746Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1887757Z 2023-07-07T20:05:32.1888100Z [2023-07-07 20:02:53,584] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1888444Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1888453Z 2023-07-07T20:05:32.1888750Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1889214Z - self: 2023-07-07T20:05:32.1889640Z - node: fx.Node(convert_element_type_37[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1889834Z - aten_name: 2023-07-07T20:05:32.1890067Z - function_overloads: 2023-07-07T20:05:32.1890264Z - onnx_args: 2023-07-07T20:05:32.1890472Z - onnx_kwargs: 2023-07-07T20:05:32.1890998Z - diagnostic_context: 2023-07-07T20:05:32.1891299Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1891740Z [2023-07-07 20:02:53,589] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_18]. 2023-07-07T20:05:32.1891990Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1891999Z 2023-07-07T20:05:32.1892336Z [2023-07-07 20:02:53,589] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1892688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1892697Z 2023-07-07T20:05:32.1893011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1893472Z - self: 2023-07-07T20:05:32.1893852Z - node: fx.Node(tensor_int_18[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1894050Z - aten_name: 2023-07-07T20:05:32.1894264Z - function_overloads: 2023-07-07T20:05:32.1894463Z - onnx_args: 2023-07-07T20:05:32.1894662Z - onnx_kwargs: 2023-07-07T20:05:32.1895199Z - diagnostic_context: 2023-07-07T20:05:32.1895476Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1895962Z [2023-07-07 20:02:53,593] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_144]. 2023-07-07T20:05:32.1896349Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1896358Z 2023-07-07T20:05:32.1896689Z [2023-07-07 20:02:53,594] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1897043Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1897052Z 2023-07-07T20:05:32.1897364Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1897874Z - self: 2023-07-07T20:05:32.1898229Z - node: fx.Node(unsqueeze_144[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1898424Z - aten_name: 2023-07-07T20:05:32.1898651Z - function_overloads: 2023-07-07T20:05:32.1898851Z - onnx_args: 2023-07-07T20:05:32.1899040Z - onnx_kwargs: 2023-07-07T20:05:32.1899573Z - diagnostic_context: 2023-07-07T20:05:32.1899842Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1900322Z [2023-07-07 20:02:53,595] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_145]. 2023-07-07T20:05:32.1900571Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1900580Z 2023-07-07T20:05:32.1900924Z [2023-07-07 20:02:53,595] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1901268Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1901276Z 2023-07-07T20:05:32.1901587Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1902051Z - self: 2023-07-07T20:05:32.1902393Z - node: fx.Node(unsqueeze_145[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1902592Z - aten_name: 2023-07-07T20:05:32.1902813Z - function_overloads: 2023-07-07T20:05:32.1903011Z - onnx_args: 2023-07-07T20:05:32.1903212Z - onnx_kwargs: 2023-07-07T20:05:32.1903743Z - diagnostic_context: 2023-07-07T20:05:32.1904007Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1904496Z [2023-07-07 20:02:53,596] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_146]. 2023-07-07T20:05:32.1904720Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1904731Z 2023-07-07T20:05:32.1905064Z [2023-07-07 20:02:53,596] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1905406Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1905418Z 2023-07-07T20:05:32.1905731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1906200Z - self: 2023-07-07T20:05:32.1906555Z - node: fx.Node(unsqueeze_146[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1906788Z - aten_name: 2023-07-07T20:05:32.1907022Z - function_overloads: 2023-07-07T20:05:32.1907208Z - onnx_args: 2023-07-07T20:05:32.1907410Z - onnx_kwargs: 2023-07-07T20:05:32.1907945Z - diagnostic_context: 2023-07-07T20:05:32.1908216Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1908693Z [2023-07-07 20:02:53,597] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_147]. 2023-07-07T20:05:32.1908972Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1908983Z 2023-07-07T20:05:32.1909352Z [2023-07-07 20:02:53,597] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1909700Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1909709Z 2023-07-07T20:05:32.1910026Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1910510Z - self: 2023-07-07T20:05:32.1910862Z - node: fx.Node(unsqueeze_147[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1911054Z - aten_name: 2023-07-07T20:05:32.1911284Z - function_overloads: 2023-07-07T20:05:32.1911479Z - onnx_args: 2023-07-07T20:05:32.1911685Z - onnx_kwargs: 2023-07-07T20:05:32.1912209Z - diagnostic_context: 2023-07-07T20:05:32.1912470Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1912953Z [2023-07-07 20:02:53,601] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_148]. 2023-07-07T20:05:32.1913196Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1913205Z 2023-07-07T20:05:32.1913541Z [2023-07-07 20:02:53,601] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1913892Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1913901Z 2023-07-07T20:05:32.1914214Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1914732Z - self: 2023-07-07T20:05:32.1915091Z - node: fx.Node(unsqueeze_148[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1915290Z - aten_name: 2023-07-07T20:05:32.1915501Z - function_overloads: 2023-07-07T20:05:32.1915706Z - onnx_args: 2023-07-07T20:05:32.1915908Z - onnx_kwargs: 2023-07-07T20:05:32.1916433Z - diagnostic_context: 2023-07-07T20:05:32.1916702Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1917198Z [2023-07-07 20:02:53,602] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_149]. 2023-07-07T20:05:32.1917444Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1917452Z 2023-07-07T20:05:32.1917797Z [2023-07-07 20:02:53,602] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1918127Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1918152Z 2023-07-07T20:05:32.1918456Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1918923Z - self: 2023-07-07T20:05:32.1919279Z - node: fx.Node(unsqueeze_149[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1919472Z - aten_name: 2023-07-07T20:05:32.1919702Z - function_overloads: 2023-07-07T20:05:32.1919960Z - onnx_args: 2023-07-07T20:05:32.1920164Z - onnx_kwargs: 2023-07-07T20:05:32.1920675Z - diagnostic_context: 2023-07-07T20:05:32.1920948Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1921425Z [2023-07-07 20:02:53,605] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_150]. 2023-07-07T20:05:32.1921665Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1921674Z 2023-07-07T20:05:32.1922045Z [2023-07-07 20:02:53,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1922415Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1922425Z 2023-07-07T20:05:32.1922740Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1923208Z - self: 2023-07-07T20:05:32.1923594Z - node: fx.Node(unsqueeze_150[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1923773Z - aten_name: 2023-07-07T20:05:32.1924003Z - function_overloads: 2023-07-07T20:05:32.1924201Z - onnx_args: 2023-07-07T20:05:32.1924844Z - onnx_kwargs: 2023-07-07T20:05:32.1925456Z - diagnostic_context: 2023-07-07T20:05:32.1925728Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1926218Z [2023-07-07 20:02:53,606] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_151]. 2023-07-07T20:05:32.1926446Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1926472Z 2023-07-07T20:05:32.1926798Z [2023-07-07 20:02:53,606] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1927146Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1927162Z 2023-07-07T20:05:32.1927476Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1927939Z - self: 2023-07-07T20:05:32.1928303Z - node: fx.Node(unsqueeze_151[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1928499Z - aten_name: 2023-07-07T20:05:32.1928725Z - function_overloads: 2023-07-07T20:05:32.1928923Z - onnx_args: 2023-07-07T20:05:32.1929112Z - onnx_kwargs: 2023-07-07T20:05:32.1929646Z - diagnostic_context: 2023-07-07T20:05:32.1929918Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1930415Z [2023-07-07 20:02:53,612] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:32.1930660Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1930671Z 2023-07-07T20:05:32.1931012Z [2023-07-07 20:02:53,613] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1931361Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1931369Z 2023-07-07T20:05:32.1931687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1932140Z - self: 2023-07-07T20:05:32.1932516Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1932715Z - aten_name: 2023-07-07T20:05:32.1932943Z - function_overloads: 2023-07-07T20:05:32.1933139Z - onnx_args: 2023-07-07T20:05:32.1933339Z - onnx_kwargs: 2023-07-07T20:05:32.1933977Z - diagnostic_context: 2023-07-07T20:05:32.1934353Z - Return value: 2023-07-07T20:05:32.1934884Z [2023-07-07 20:02:53,616] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_38]. 2023-07-07T20:05:32.1935152Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1935161Z 2023-07-07T20:05:32.1935500Z [2023-07-07 20:02:53,616] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1935947Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1935957Z 2023-07-07T20:05:32.1936271Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1936735Z - self: 2023-07-07T20:05:32.1937162Z - node: fx.Node(convert_element_type_38[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1937403Z - aten_name: 2023-07-07T20:05:32.1937628Z - function_overloads: 2023-07-07T20:05:32.1937815Z - onnx_args: 2023-07-07T20:05:32.1938006Z - onnx_kwargs: 2023-07-07T20:05:32.1938527Z - diagnostic_context: 2023-07-07T20:05:32.1938819Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1939371Z [2023-07-07 20:02:53,617] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_39]. 2023-07-07T20:05:32.1939644Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1939654Z 2023-07-07T20:05:32.1939988Z [2023-07-07 20:02:53,617] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1940336Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1940347Z 2023-07-07T20:05:32.1940648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1941109Z - self: 2023-07-07T20:05:32.1941526Z - node: fx.Node(convert_element_type_39[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1941719Z - aten_name: 2023-07-07T20:05:32.1941955Z - function_overloads: 2023-07-07T20:05:32.1942155Z - onnx_args: 2023-07-07T20:05:32.1942358Z - onnx_kwargs: 2023-07-07T20:05:32.1942888Z - diagnostic_context: 2023-07-07T20:05:32.1943192Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1943639Z [2023-07-07 20:02:53,621] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_19]. 2023-07-07T20:05:32.1943884Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1943892Z 2023-07-07T20:05:32.1944230Z [2023-07-07 20:02:53,621] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1944575Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1944583Z 2023-07-07T20:05:32.1944895Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1945370Z - self: 2023-07-07T20:05:32.1945699Z - node: fx.Node(tensor_int_19[call_function]'aten.tensor.int') 2023-07-07T20:05:32.1945894Z - aten_name: 2023-07-07T20:05:32.1946104Z - function_overloads: 2023-07-07T20:05:32.1946303Z - onnx_args: 2023-07-07T20:05:32.1946551Z - onnx_kwargs: 2023-07-07T20:05:32.1947083Z - diagnostic_context: 2023-07-07T20:05:32.1947359Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.1947837Z [2023-07-07 20:02:53,626] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_152]. 2023-07-07T20:05:32.1948079Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1948088Z 2023-07-07T20:05:32.1948409Z [2023-07-07 20:02:53,626] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1948790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1948831Z 2023-07-07T20:05:32.1949144Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1949608Z - self: 2023-07-07T20:05:32.1949968Z - node: fx.Node(unsqueeze_152[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1950196Z - aten_name: 2023-07-07T20:05:32.1950422Z - function_overloads: 2023-07-07T20:05:32.1950624Z - onnx_args: 2023-07-07T20:05:32.1950810Z - onnx_kwargs: 2023-07-07T20:05:32.1951336Z - diagnostic_context: 2023-07-07T20:05:32.1951606Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1952088Z [2023-07-07 20:02:53,627] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_153]. 2023-07-07T20:05:32.1952334Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1952345Z 2023-07-07T20:05:32.1952680Z [2023-07-07 20:02:53,627] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1953026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1953039Z 2023-07-07T20:05:32.1953352Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1953822Z - self: 2023-07-07T20:05:32.1954164Z - node: fx.Node(unsqueeze_153[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1954360Z - aten_name: 2023-07-07T20:05:32.1954585Z - function_overloads: 2023-07-07T20:05:32.1954865Z - onnx_args: 2023-07-07T20:05:32.1955067Z - onnx_kwargs: 2023-07-07T20:05:32.1955601Z - diagnostic_context: 2023-07-07T20:05:32.1955872Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1956354Z [2023-07-07 20:02:53,628] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_154]. 2023-07-07T20:05:32.1956587Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1956595Z 2023-07-07T20:05:32.1956934Z [2023-07-07 20:02:53,628] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1957278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1957287Z 2023-07-07T20:05:32.1957602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1958071Z - self: 2023-07-07T20:05:32.1958430Z - node: fx.Node(unsqueeze_154[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1958625Z - aten_name: 2023-07-07T20:05:32.1958856Z - function_overloads: 2023-07-07T20:05:32.1959039Z - onnx_args: 2023-07-07T20:05:32.1959245Z - onnx_kwargs: 2023-07-07T20:05:32.1959820Z - diagnostic_context: 2023-07-07T20:05:32.1960095Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1960584Z [2023-07-07 20:02:53,629] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_155]. 2023-07-07T20:05:32.1960825Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1960834Z 2023-07-07T20:05:32.1961170Z [2023-07-07 20:02:53,629] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1961513Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1961558Z 2023-07-07T20:05:32.1961917Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1962372Z - self: 2023-07-07T20:05:32.1962728Z - node: fx.Node(unsqueeze_155[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1962923Z - aten_name: 2023-07-07T20:05:32.1963150Z - function_overloads: 2023-07-07T20:05:32.1963380Z - onnx_args: 2023-07-07T20:05:32.1963586Z - onnx_kwargs: 2023-07-07T20:05:32.1964110Z - diagnostic_context: 2023-07-07T20:05:32.1964365Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1964958Z [2023-07-07 20:02:53,633] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_156]. 2023-07-07T20:05:32.1965205Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1965214Z 2023-07-07T20:05:32.1965557Z [2023-07-07 20:02:53,633] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1965908Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1965917Z 2023-07-07T20:05:32.1966244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1966702Z - self: 2023-07-07T20:05:32.1967063Z - node: fx.Node(unsqueeze_156[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1967256Z - aten_name: 2023-07-07T20:05:32.1967471Z - function_overloads: 2023-07-07T20:05:32.1967674Z - onnx_args: 2023-07-07T20:05:32.1967872Z - onnx_kwargs: 2023-07-07T20:05:32.1968405Z - diagnostic_context: 2023-07-07T20:05:32.1968679Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1969160Z [2023-07-07 20:02:53,635] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_157]. 2023-07-07T20:05:32.1969398Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1969407Z 2023-07-07T20:05:32.1969752Z [2023-07-07 20:02:53,635] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1970090Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1970100Z 2023-07-07T20:05:32.1970414Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1970882Z - self: 2023-07-07T20:05:32.1971236Z - node: fx.Node(unsqueeze_157[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1971431Z - aten_name: 2023-07-07T20:05:32.1971658Z - function_overloads: 2023-07-07T20:05:32.1971856Z - onnx_args: 2023-07-07T20:05:32.1972052Z - onnx_kwargs: 2023-07-07T20:05:32.1972567Z - diagnostic_context: 2023-07-07T20:05:32.1972840Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1973387Z [2023-07-07 20:02:53,637] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_158]. 2023-07-07T20:05:32.1973636Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1973645Z 2023-07-07T20:05:32.1973985Z [2023-07-07 20:02:53,637] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1974327Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1974335Z 2023-07-07T20:05:32.1974648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1975204Z - self: 2023-07-07T20:05:32.1975568Z - node: fx.Node(unsqueeze_158[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1975751Z - aten_name: 2023-07-07T20:05:32.1975979Z - function_overloads: 2023-07-07T20:05:32.1976182Z - onnx_args: 2023-07-07T20:05:32.1976381Z - onnx_kwargs: 2023-07-07T20:05:32.1976964Z - diagnostic_context: 2023-07-07T20:05:32.1977239Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1977729Z [2023-07-07 20:02:53,638] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_159]. 2023-07-07T20:05:32.1977954Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1977963Z 2023-07-07T20:05:32.1978304Z [2023-07-07 20:02:53,638] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1978653Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1978662Z 2023-07-07T20:05:32.1978978Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1979447Z - self: 2023-07-07T20:05:32.1979799Z - node: fx.Node(unsqueeze_159[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.1979995Z - aten_name: 2023-07-07T20:05:32.1980227Z - function_overloads: 2023-07-07T20:05:32.1980412Z - onnx_args: 2023-07-07T20:05:32.1980614Z - onnx_kwargs: 2023-07-07T20:05:32.1981148Z - diagnostic_context: 2023-07-07T20:05:32.1981419Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.1981829Z [2023-07-07 20:02:53,646] torch.onnx: [WARNING] FX Node: call_function:aten.mean.dim[name=mean]. 2023-07-07T20:05:32.1982069Z ONNX Node: aten_mean_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1982078Z 2023-07-07T20:05:32.1982422Z [2023-07-07 20:02:53,646] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1982769Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1982781Z 2023-07-07T20:05:32.1983095Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1983552Z - self: 2023-07-07T20:05:32.1983840Z - node: fx.Node(mean[call_function]'aten.mean.dim') 2023-07-07T20:05:32.1984037Z - aten_name: 2023-07-07T20:05:32.1984266Z - function_overloads: 2023-07-07T20:05:32.1984467Z - onnx_args: 2023-07-07T20:05:32.1984673Z - onnx_kwargs: 2023-07-07T20:05:32.1985200Z - diagnostic_context: 2023-07-07T20:05:32.1985452Z - Return value: `OnnxFunction(aten_mean_dim)` 2023-07-07T20:05:32.1985585Z PASSED [17.4389s] [ 66%] 2023-07-07T20:05:32.1986291Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_scalar_tensor SKIPPED [0.0012s] (Skip verify dynamic shapes test for FX. fx graph does not capture symbolic value for aten::scalar_tensor.) [ 67%] 2023-07-07T20:05:32.1987218Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_shufflenet_v2 [2023-07-07 20:03:22,728] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.1987462Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1987509Z 2023-07-07T20:05:32.1987844Z [2023-07-07 20:03:22,728] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1988221Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1988231Z 2023-07-07T20:05:32.1988540Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1989014Z - self: 2023-07-07T20:05:32.1989415Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.1989597Z - aten_name: 2023-07-07T20:05:32.1989823Z - function_overloads: 2023-07-07T20:05:32.1990017Z - onnx_args: 2023-07-07T20:05:32.1990219Z - onnx_kwargs: 2023-07-07T20:05:32.1990746Z - diagnostic_context: 2023-07-07T20:05:32.1991114Z - Return value: 2023-07-07T20:05:32.1991658Z [2023-07-07 20:03:22,733] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:32.1991935Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1991943Z 2023-07-07T20:05:32.1992268Z [2023-07-07 20:03:22,733] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1992613Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1992624Z 2023-07-07T20:05:32.1992938Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1993401Z - self: 2023-07-07T20:05:32.1993815Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1994015Z - aten_name: 2023-07-07T20:05:32.1994243Z - function_overloads: 2023-07-07T20:05:32.1994437Z - onnx_args: 2023-07-07T20:05:32.1994708Z - onnx_kwargs: 2023-07-07T20:05:32.1995238Z - diagnostic_context: 2023-07-07T20:05:32.1995553Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.1996108Z [2023-07-07 20:03:22,735] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:32.1996386Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.1996395Z 2023-07-07T20:05:32.1996734Z [2023-07-07 20:03:22,735] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.1997084Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.1997093Z 2023-07-07T20:05:32.1997416Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.1997882Z - self: 2023-07-07T20:05:32.1998291Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.1998486Z - aten_name: 2023-07-07T20:05:32.1998718Z - function_overloads: 2023-07-07T20:05:32.1998997Z - onnx_args: 2023-07-07T20:05:32.1999205Z - onnx_kwargs: 2023-07-07T20:05:32.1999730Z - diagnostic_context: 2023-07-07T20:05:32.2000044Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2000481Z [2023-07-07 20:03:22,742] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:05:32.2000708Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2000758Z 2023-07-07T20:05:32.2001098Z [2023-07-07 20:03:22,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2001471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2001481Z 2023-07-07T20:05:32.2001798Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2002263Z - self: 2023-07-07T20:05:32.2002624Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2002822Z - aten_name: 2023-07-07T20:05:32.2003049Z - function_overloads: 2023-07-07T20:05:32.2003234Z - onnx_args: 2023-07-07T20:05:32.2014081Z - onnx_kwargs: 2023-07-07T20:05:32.2014722Z - diagnostic_context: 2023-07-07T20:05:32.2015005Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2015468Z [2023-07-07 20:03:22,749] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:32.2015716Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2015727Z 2023-07-07T20:05:32.2016070Z [2023-07-07 20:03:22,749] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2016427Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2016443Z 2023-07-07T20:05:32.2016755Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2017225Z - self: 2023-07-07T20:05:32.2017573Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2017770Z - aten_name: 2023-07-07T20:05:32.2018003Z - function_overloads: 2023-07-07T20:05:32.2018195Z - onnx_args: 2023-07-07T20:05:32.2018396Z - onnx_kwargs: 2023-07-07T20:05:32.2018938Z - diagnostic_context: 2023-07-07T20:05:32.2019209Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2019695Z [2023-07-07 20:03:22,751] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:32.2019941Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2019953Z 2023-07-07T20:05:32.2020300Z [2023-07-07 20:03:22,751] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2020650Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2020662Z 2023-07-07T20:05:32.2020959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2021426Z - self: 2023-07-07T20:05:32.2021786Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2021981Z - aten_name: 2023-07-07T20:05:32.2022211Z - function_overloads: 2023-07-07T20:05:32.2022409Z - onnx_args: 2023-07-07T20:05:32.2022616Z - onnx_kwargs: 2023-07-07T20:05:32.2023302Z - diagnostic_context: 2023-07-07T20:05:32.2023580Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2024052Z [2023-07-07 20:03:22,752] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:32.2024293Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2024303Z 2023-07-07T20:05:32.2024645Z [2023-07-07 20:03:22,752] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2025049Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2025107Z 2023-07-07T20:05:32.2025432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2025897Z - self: 2023-07-07T20:05:32.2026252Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2026484Z - aten_name: 2023-07-07T20:05:32.2026711Z - function_overloads: 2023-07-07T20:05:32.2026909Z - onnx_args: 2023-07-07T20:05:32.2027113Z - onnx_kwargs: 2023-07-07T20:05:32.2027642Z - diagnostic_context: 2023-07-07T20:05:32.2027913Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2028384Z [2023-07-07 20:03:22,754] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_3]. 2023-07-07T20:05:32.2028626Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2028638Z 2023-07-07T20:05:32.2028961Z [2023-07-07 20:03:22,754] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2029305Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2029316Z 2023-07-07T20:05:32.2029631Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2030106Z - self: 2023-07-07T20:05:32.2030461Z - node: fx.Node(unsqueeze_3[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2030653Z - aten_name: 2023-07-07T20:05:32.2030885Z - function_overloads: 2023-07-07T20:05:32.2031082Z - onnx_args: 2023-07-07T20:05:32.2031268Z - onnx_kwargs: 2023-07-07T20:05:32.2031792Z - diagnostic_context: 2023-07-07T20:05:32.2032062Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2032539Z [2023-07-07 20:03:22,760] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_4]. 2023-07-07T20:05:32.2032785Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2032796Z 2023-07-07T20:05:32.2033137Z [2023-07-07 20:03:22,760] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2033488Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2033497Z 2023-07-07T20:05:32.2033813Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2034281Z - self: 2023-07-07T20:05:32.2034704Z - node: fx.Node(unsqueeze_4[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2034902Z - aten_name: 2023-07-07T20:05:32.2035128Z - function_overloads: 2023-07-07T20:05:32.2035322Z - onnx_args: 2023-07-07T20:05:32.2035524Z - onnx_kwargs: 2023-07-07T20:05:32.2036053Z - diagnostic_context: 2023-07-07T20:05:32.2036369Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2036840Z [2023-07-07 20:03:22,761] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_5]. 2023-07-07T20:05:32.2037086Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2037096Z 2023-07-07T20:05:32.2037439Z [2023-07-07 20:03:22,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2037783Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2037825Z 2023-07-07T20:05:32.2038170Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2038640Z - self: 2023-07-07T20:05:32.2038989Z - node: fx.Node(unsqueeze_5[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2039182Z - aten_name: 2023-07-07T20:05:32.2039412Z - function_overloads: 2023-07-07T20:05:32.2039595Z - onnx_args: 2023-07-07T20:05:32.2039828Z - onnx_kwargs: 2023-07-07T20:05:32.2040356Z - diagnostic_context: 2023-07-07T20:05:32.2040625Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2041092Z [2023-07-07 20:03:22,765] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_6]. 2023-07-07T20:05:32.2041334Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2041345Z 2023-07-07T20:05:32.2041691Z [2023-07-07 20:03:22,765] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2042034Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2042043Z 2023-07-07T20:05:32.2042354Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2042820Z - self: 2023-07-07T20:05:32.2043169Z - node: fx.Node(unsqueeze_6[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2043363Z - aten_name: 2023-07-07T20:05:32.2043594Z - function_overloads: 2023-07-07T20:05:32.2043793Z - onnx_args: 2023-07-07T20:05:32.2043998Z - onnx_kwargs: 2023-07-07T20:05:32.2044819Z - diagnostic_context: 2023-07-07T20:05:32.2045188Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2045666Z [2023-07-07 20:03:22,766] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_7]. 2023-07-07T20:05:32.2045911Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2045920Z 2023-07-07T20:05:32.2046261Z [2023-07-07 20:03:22,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2046607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2046618Z 2023-07-07T20:05:32.2046934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2047400Z - self: 2023-07-07T20:05:32.2047754Z - node: fx.Node(unsqueeze_7[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2047950Z - aten_name: 2023-07-07T20:05:32.2048167Z - function_overloads: 2023-07-07T20:05:32.2048374Z - onnx_args: 2023-07-07T20:05:32.2048579Z - onnx_kwargs: 2023-07-07T20:05:32.2049109Z - diagnostic_context: 2023-07-07T20:05:32.2049381Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2049993Z [2023-07-07 20:03:22,775] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:32.2050270Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2050280Z 2023-07-07T20:05:32.2050604Z [2023-07-07 20:03:22,775] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2050954Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2050964Z 2023-07-07T20:05:32.2051276Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2051827Z - self: 2023-07-07T20:05:32.2052264Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:32.2052455Z - aten_name: 2023-07-07T20:05:32.2052682Z - function_overloads: 2023-07-07T20:05:32.2052888Z - onnx_args: 2023-07-07T20:05:32.2053076Z - onnx_kwargs: 2023-07-07T20:05:32.2053663Z - diagnostic_context: 2023-07-07T20:05:32.2054035Z - Return value: 2023-07-07T20:05:32.2054532Z [2023-07-07 20:03:22,778] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:32.2054778Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2054789Z 2023-07-07T20:05:32.2055124Z [2023-07-07 20:03:22,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2055472Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2055481Z 2023-07-07T20:05:32.2055794Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2056264Z - self: 2023-07-07T20:05:32.2056631Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2056811Z - aten_name: 2023-07-07T20:05:32.2057038Z - function_overloads: 2023-07-07T20:05:32.2057237Z - onnx_args: 2023-07-07T20:05:32.2057443Z - onnx_kwargs: 2023-07-07T20:05:32.2057971Z - diagnostic_context: 2023-07-07T20:05:32.2058340Z - Return value: 2023-07-07T20:05:32.2058886Z [2023-07-07 20:03:22,782] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:32.2059144Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2059170Z 2023-07-07T20:05:32.2059499Z [2023-07-07 20:03:22,783] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2059842Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2059854Z 2023-07-07T20:05:32.2060163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2060626Z - self: 2023-07-07T20:05:32.2061057Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2061255Z - aten_name: 2023-07-07T20:05:32.2061467Z - function_overloads: 2023-07-07T20:05:32.2061671Z - onnx_args: 2023-07-07T20:05:32.2061867Z - onnx_kwargs: 2023-07-07T20:05:32.2062393Z - diagnostic_context: 2023-07-07T20:05:32.2062709Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2063282Z [2023-07-07 20:03:22,784] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_3]. 2023-07-07T20:05:32.2063554Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2063566Z 2023-07-07T20:05:32.2063902Z [2023-07-07 20:03:22,784] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2064252Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2064293Z 2023-07-07T20:05:32.2064593Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2065103Z - self: 2023-07-07T20:05:32.2065518Z - node: fx.Node(convert_element_type_3[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2065707Z - aten_name: 2023-07-07T20:05:32.2065941Z - function_overloads: 2023-07-07T20:05:32.2066141Z - onnx_args: 2023-07-07T20:05:32.2066380Z - onnx_kwargs: 2023-07-07T20:05:32.2066903Z - diagnostic_context: 2023-07-07T20:05:32.2067206Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2067648Z [2023-07-07 20:03:22,790] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_1]. 2023-07-07T20:05:32.2067890Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2067902Z 2023-07-07T20:05:32.2068241Z [2023-07-07 20:03:22,790] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2068583Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2068592Z 2023-07-07T20:05:32.2068903Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2069369Z - self: 2023-07-07T20:05:32.2069695Z - node: fx.Node(tensor_int_1[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2069875Z - aten_name: 2023-07-07T20:05:32.2070098Z - function_overloads: 2023-07-07T20:05:32.2070295Z - onnx_args: 2023-07-07T20:05:32.2070495Z - onnx_kwargs: 2023-07-07T20:05:32.2071026Z - diagnostic_context: 2023-07-07T20:05:32.2071300Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2071780Z [2023-07-07 20:03:22,797] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_8]. 2023-07-07T20:05:32.2072023Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2072033Z 2023-07-07T20:05:32.2072354Z [2023-07-07 20:03:22,797] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2072701Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2072715Z 2023-07-07T20:05:32.2073027Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2073492Z - self: 2023-07-07T20:05:32.2073841Z - node: fx.Node(unsqueeze_8[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2074035Z - aten_name: 2023-07-07T20:05:32.2074264Z - function_overloads: 2023-07-07T20:05:32.2074461Z - onnx_args: 2023-07-07T20:05:32.2074712Z - onnx_kwargs: 2023-07-07T20:05:32.2075243Z - diagnostic_context: 2023-07-07T20:05:32.2075508Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2076029Z [2023-07-07 20:03:22,799] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_9]. 2023-07-07T20:05:32.2076276Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2076285Z 2023-07-07T20:05:32.2076623Z [2023-07-07 20:03:22,799] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2076967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2076976Z 2023-07-07T20:05:32.2077295Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2077795Z - self: 2023-07-07T20:05:32.2078167Z - node: fx.Node(unsqueeze_9[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2078368Z - aten_name: 2023-07-07T20:05:32.2078596Z - function_overloads: 2023-07-07T20:05:32.2078798Z - onnx_args: 2023-07-07T20:05:32.2079000Z - onnx_kwargs: 2023-07-07T20:05:32.2079532Z - diagnostic_context: 2023-07-07T20:05:32.2079836Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2080304Z [2023-07-07 20:03:22,800] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_10]. 2023-07-07T20:05:32.2080543Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2080551Z 2023-07-07T20:05:32.2080889Z [2023-07-07 20:03:22,800] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2081236Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2081245Z 2023-07-07T20:05:32.2081555Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2082019Z - self: 2023-07-07T20:05:32.2082376Z - node: fx.Node(unsqueeze_10[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2082570Z - aten_name: 2023-07-07T20:05:32.2082797Z - function_overloads: 2023-07-07T20:05:32.2082981Z - onnx_args: 2023-07-07T20:05:32.2083179Z - onnx_kwargs: 2023-07-07T20:05:32.2083712Z - diagnostic_context: 2023-07-07T20:05:32.2083982Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2084571Z [2023-07-07 20:03:22,802] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_11]. 2023-07-07T20:05:32.2084825Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2084834Z 2023-07-07T20:05:32.2085180Z [2023-07-07 20:03:22,802] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2085531Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2085540Z 2023-07-07T20:05:32.2085839Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2086308Z - self: 2023-07-07T20:05:32.2086660Z - node: fx.Node(unsqueeze_11[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2086854Z - aten_name: 2023-07-07T20:05:32.2087081Z - function_overloads: 2023-07-07T20:05:32.2087277Z - onnx_args: 2023-07-07T20:05:32.2087482Z - onnx_kwargs: 2023-07-07T20:05:32.2088012Z - diagnostic_context: 2023-07-07T20:05:32.2088270Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2088757Z [2023-07-07 20:03:22,807] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_12]. 2023-07-07T20:05:32.2089063Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2089073Z 2023-07-07T20:05:32.2089414Z [2023-07-07 20:03:22,807] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2089758Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2089766Z 2023-07-07T20:05:32.2090078Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2090542Z - self: 2023-07-07T20:05:32.2090944Z - node: fx.Node(unsqueeze_12[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2091177Z - aten_name: 2023-07-07T20:05:32.2091392Z - function_overloads: 2023-07-07T20:05:32.2091592Z - onnx_args: 2023-07-07T20:05:32.2091792Z - onnx_kwargs: 2023-07-07T20:05:32.2092328Z - diagnostic_context: 2023-07-07T20:05:32.2092600Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2093139Z [2023-07-07 20:03:22,809] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_13]. 2023-07-07T20:05:32.2093376Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2093387Z 2023-07-07T20:05:32.2093709Z [2023-07-07 20:03:22,809] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2094056Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2094068Z 2023-07-07T20:05:32.2094384Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2094850Z - self: 2023-07-07T20:05:32.2095207Z - node: fx.Node(unsqueeze_13[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2095404Z - aten_name: 2023-07-07T20:05:32.2095634Z - function_overloads: 2023-07-07T20:05:32.2095831Z - onnx_args: 2023-07-07T20:05:32.2096019Z - onnx_kwargs: 2023-07-07T20:05:32.2096548Z - diagnostic_context: 2023-07-07T20:05:32.2096815Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2097298Z [2023-07-07 20:03:22,813] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_14]. 2023-07-07T20:05:32.2097544Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2097552Z 2023-07-07T20:05:32.2097892Z [2023-07-07 20:03:22,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2098242Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2098250Z 2023-07-07T20:05:32.2098562Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2099026Z - self: 2023-07-07T20:05:32.2099369Z - node: fx.Node(unsqueeze_14[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2099561Z - aten_name: 2023-07-07T20:05:32.2099792Z - function_overloads: 2023-07-07T20:05:32.2099992Z - onnx_args: 2023-07-07T20:05:32.2100197Z - onnx_kwargs: 2023-07-07T20:05:32.2100733Z - diagnostic_context: 2023-07-07T20:05:32.2101004Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2101489Z [2023-07-07 20:03:22,814] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_15]. 2023-07-07T20:05:32.2101720Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2101729Z 2023-07-07T20:05:32.2102127Z [2023-07-07 20:03:22,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2102471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2102482Z 2023-07-07T20:05:32.2102801Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2103268Z - self: 2023-07-07T20:05:32.2103620Z - node: fx.Node(unsqueeze_15[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2103855Z - aten_name: 2023-07-07T20:05:32.2104084Z - function_overloads: 2023-07-07T20:05:32.2104298Z - onnx_args: 2023-07-07T20:05:32.2104503Z - onnx_kwargs: 2023-07-07T20:05:32.2105026Z - diagnostic_context: 2023-07-07T20:05:32.2105298Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2105800Z [2023-07-07 20:03:22,818] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:32.2106113Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2106122Z 2023-07-07T20:05:32.2106455Z [2023-07-07 20:03:22,818] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2106805Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2106813Z 2023-07-07T20:05:32.2107128Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2107587Z - self: 2023-07-07T20:05:32.2107961Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2108153Z - aten_name: 2023-07-07T20:05:32.2108377Z - function_overloads: 2023-07-07T20:05:32.2108583Z - onnx_args: 2023-07-07T20:05:32.2108781Z - onnx_kwargs: 2023-07-07T20:05:32.2109311Z - diagnostic_context: 2023-07-07T20:05:32.2109661Z - Return value: 2023-07-07T20:05:32.2110206Z [2023-07-07 20:03:22,823] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_4]. 2023-07-07T20:05:32.2110474Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2110486Z 2023-07-07T20:05:32.2110825Z [2023-07-07 20:03:22,823] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2111177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2111185Z 2023-07-07T20:05:32.2111498Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2111962Z - self: 2023-07-07T20:05:32.2112380Z - node: fx.Node(convert_element_type_4[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2112578Z - aten_name: 2023-07-07T20:05:32.2112788Z - function_overloads: 2023-07-07T20:05:32.2112988Z - onnx_args: 2023-07-07T20:05:32.2113214Z - onnx_kwargs: 2023-07-07T20:05:32.2113745Z - diagnostic_context: 2023-07-07T20:05:32.2114066Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2114708Z [2023-07-07 20:03:22,825] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_5]. 2023-07-07T20:05:32.2114975Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2114984Z 2023-07-07T20:05:32.2115389Z [2023-07-07 20:03:22,825] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2115727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2115752Z 2023-07-07T20:05:32.2116056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2116523Z - self: 2023-07-07T20:05:32.2116936Z - node: fx.Node(convert_element_type_5[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2117171Z - aten_name: 2023-07-07T20:05:32.2117399Z - function_overloads: 2023-07-07T20:05:32.2117632Z - onnx_args: 2023-07-07T20:05:32.2117837Z - onnx_kwargs: 2023-07-07T20:05:32.2118358Z - diagnostic_context: 2023-07-07T20:05:32.2118675Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2119124Z [2023-07-07 20:03:22,831] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_2]. 2023-07-07T20:05:32.2119402Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2119411Z 2023-07-07T20:05:32.2119748Z [2023-07-07 20:03:22,831] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2120093Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2120102Z 2023-07-07T20:05:32.2120417Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2120887Z - self: 2023-07-07T20:05:32.2121205Z - node: fx.Node(tensor_int_2[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2121385Z - aten_name: 2023-07-07T20:05:32.2121608Z - function_overloads: 2023-07-07T20:05:32.2121811Z - onnx_args: 2023-07-07T20:05:32.2122011Z - onnx_kwargs: 2023-07-07T20:05:32.2122547Z - diagnostic_context: 2023-07-07T20:05:32.2122825Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2123300Z [2023-07-07 20:03:22,838] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_16]. 2023-07-07T20:05:32.2123541Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2123553Z 2023-07-07T20:05:32.2123874Z [2023-07-07 20:03:22,838] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2124217Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2124226Z 2023-07-07T20:05:32.2125073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2125645Z - self: 2023-07-07T20:05:32.2126041Z - node: fx.Node(unsqueeze_16[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2126249Z - aten_name: 2023-07-07T20:05:32.2126470Z - function_overloads: 2023-07-07T20:05:32.2126670Z - onnx_args: 2023-07-07T20:05:32.2126856Z - onnx_kwargs: 2023-07-07T20:05:32.2127384Z - diagnostic_context: 2023-07-07T20:05:32.2127654Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2128152Z [2023-07-07 20:03:22,840] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_17]. 2023-07-07T20:05:32.2128395Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2128405Z 2023-07-07T20:05:32.2128746Z [2023-07-07 20:03:22,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2129202Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2129215Z 2023-07-07T20:05:32.2129532Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2130009Z - self: 2023-07-07T20:05:32.2130350Z - node: fx.Node(unsqueeze_17[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2130548Z - aten_name: 2023-07-07T20:05:32.2130770Z - function_overloads: 2023-07-07T20:05:32.2131022Z - onnx_args: 2023-07-07T20:05:32.2131222Z - onnx_kwargs: 2023-07-07T20:05:32.2131799Z - diagnostic_context: 2023-07-07T20:05:32.2132073Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2132541Z [2023-07-07 20:03:22,841] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_18]. 2023-07-07T20:05:32.2132782Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2132835Z 2023-07-07T20:05:32.2133173Z [2023-07-07 20:03:22,841] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2133521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2133530Z 2023-07-07T20:05:32.2133843Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2134310Z - self: 2023-07-07T20:05:32.2134667Z - node: fx.Node(unsqueeze_18[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2134864Z - aten_name: 2023-07-07T20:05:32.2135092Z - function_overloads: 2023-07-07T20:05:32.2135275Z - onnx_args: 2023-07-07T20:05:32.2135476Z - onnx_kwargs: 2023-07-07T20:05:32.2136003Z - diagnostic_context: 2023-07-07T20:05:32.2136274Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2136750Z [2023-07-07 20:03:22,843] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_19]. 2023-07-07T20:05:32.2136987Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2136997Z 2023-07-07T20:05:32.2137333Z [2023-07-07 20:03:22,843] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2137688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2137702Z 2023-07-07T20:05:32.2138004Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2138465Z - self: 2023-07-07T20:05:32.2138819Z - node: fx.Node(unsqueeze_19[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2139017Z - aten_name: 2023-07-07T20:05:32.2139246Z - function_overloads: 2023-07-07T20:05:32.2139446Z - onnx_args: 2023-07-07T20:05:32.2139644Z - onnx_kwargs: 2023-07-07T20:05:32.2140166Z - diagnostic_context: 2023-07-07T20:05:32.2140420Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2140896Z [2023-07-07 20:03:22,848] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_20]. 2023-07-07T20:05:32.2141140Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2141154Z 2023-07-07T20:05:32.2141486Z [2023-07-07 20:03:22,848] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2141830Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2141877Z 2023-07-07T20:05:32.2142191Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2142664Z - self: 2023-07-07T20:05:32.2143016Z - node: fx.Node(unsqueeze_20[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2143194Z - aten_name: 2023-07-07T20:05:32.2143421Z - function_overloads: 2023-07-07T20:05:32.2143614Z - onnx_args: 2023-07-07T20:05:32.2143812Z - onnx_kwargs: 2023-07-07T20:05:32.2144373Z - diagnostic_context: 2023-07-07T20:05:32.2144674Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2145151Z [2023-07-07 20:03:22,850] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_21]. 2023-07-07T20:05:32.2145391Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2145404Z 2023-07-07T20:05:32.2145727Z [2023-07-07 20:03:22,850] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2146111Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2146119Z 2023-07-07T20:05:32.2146432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2146898Z - self: 2023-07-07T20:05:32.2147259Z - node: fx.Node(unsqueeze_21[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2147451Z - aten_name: 2023-07-07T20:05:32.2147683Z - function_overloads: 2023-07-07T20:05:32.2147882Z - onnx_args: 2023-07-07T20:05:32.2148063Z - onnx_kwargs: 2023-07-07T20:05:32.2148588Z - diagnostic_context: 2023-07-07T20:05:32.2148859Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2149337Z [2023-07-07 20:03:22,854] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_22]. 2023-07-07T20:05:32.2149578Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2149587Z 2023-07-07T20:05:32.2149923Z [2023-07-07 20:03:22,854] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2150272Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2150284Z 2023-07-07T20:05:32.2150602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2151059Z - self: 2023-07-07T20:05:32.2151399Z - node: fx.Node(unsqueeze_22[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2151592Z - aten_name: 2023-07-07T20:05:32.2151820Z - function_overloads: 2023-07-07T20:05:32.2152016Z - onnx_args: 2023-07-07T20:05:32.2152220Z - onnx_kwargs: 2023-07-07T20:05:32.2152749Z - diagnostic_context: 2023-07-07T20:05:32.2153021Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2153483Z [2023-07-07 20:03:22,855] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_23]. 2023-07-07T20:05:32.2153724Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2153736Z 2023-07-07T20:05:32.2154077Z [2023-07-07 20:03:22,855] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2154417Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2154426Z 2023-07-07T20:05:32.2154853Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2155322Z - self: 2023-07-07T20:05:32.2155677Z - node: fx.Node(unsqueeze_23[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2155871Z - aten_name: 2023-07-07T20:05:32.2156103Z - function_overloads: 2023-07-07T20:05:32.2156285Z - onnx_args: 2023-07-07T20:05:32.2156484Z - onnx_kwargs: 2023-07-07T20:05:32.2157015Z - diagnostic_context: 2023-07-07T20:05:32.2157324Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2157866Z [2023-07-07 20:03:22,864] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:32.2158115Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2158124Z 2023-07-07T20:05:32.2158468Z [2023-07-07 20:03:22,864] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2158812Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2158857Z 2023-07-07T20:05:32.2159161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2159628Z - self: 2023-07-07T20:05:32.2160002Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2160194Z - aten_name: 2023-07-07T20:05:32.2160425Z - function_overloads: 2023-07-07T20:05:32.2160624Z - onnx_args: 2023-07-07T20:05:32.2160829Z - onnx_kwargs: 2023-07-07T20:05:32.2161354Z - diagnostic_context: 2023-07-07T20:05:32.2161707Z - Return value: 2023-07-07T20:05:32.2162247Z [2023-07-07 20:03:22,869] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_6]. 2023-07-07T20:05:32.2162518Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2162527Z 2023-07-07T20:05:32.2162863Z [2023-07-07 20:03:22,869] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2163208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2163216Z 2023-07-07T20:05:32.2163534Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2163995Z - self: 2023-07-07T20:05:32.2164516Z - node: fx.Node(convert_element_type_6[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2164714Z - aten_name: 2023-07-07T20:05:32.2164931Z - function_overloads: 2023-07-07T20:05:32.2165133Z - onnx_args: 2023-07-07T20:05:32.2165340Z - onnx_kwargs: 2023-07-07T20:05:32.2165870Z - diagnostic_context: 2023-07-07T20:05:32.2166188Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2166736Z [2023-07-07 20:03:22,870] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_7]. 2023-07-07T20:05:32.2167007Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2167019Z 2023-07-07T20:05:32.2167365Z [2023-07-07 20:03:22,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2167696Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2167719Z 2023-07-07T20:05:32.2168090Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2168557Z - self: 2023-07-07T20:05:32.2168981Z - node: fx.Node(convert_element_type_7[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2169174Z - aten_name: 2023-07-07T20:05:32.2169401Z - function_overloads: 2023-07-07T20:05:32.2169597Z - onnx_args: 2023-07-07T20:05:32.2169796Z - onnx_kwargs: 2023-07-07T20:05:32.2170316Z - diagnostic_context: 2023-07-07T20:05:32.2170678Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2171171Z [2023-07-07 20:03:22,876] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_3]. 2023-07-07T20:05:32.2171419Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2171428Z 2023-07-07T20:05:32.2171774Z [2023-07-07 20:03:22,877] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2172121Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2172173Z 2023-07-07T20:05:32.2172492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2172948Z - self: 2023-07-07T20:05:32.2173262Z - node: fx.Node(tensor_int_3[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2173450Z - aten_name: 2023-07-07T20:05:32.2173679Z - function_overloads: 2023-07-07T20:05:32.2173883Z - onnx_args: 2023-07-07T20:05:32.2174083Z - onnx_kwargs: 2023-07-07T20:05:32.2174616Z - diagnostic_context: 2023-07-07T20:05:32.2174889Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2175385Z [2023-07-07 20:03:22,883] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_24]. 2023-07-07T20:05:32.2175617Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2175640Z 2023-07-07T20:05:32.2175964Z [2023-07-07 20:03:22,884] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2176308Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2176317Z 2023-07-07T20:05:32.2176631Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2177103Z - self: 2023-07-07T20:05:32.2177458Z - node: fx.Node(unsqueeze_24[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2177653Z - aten_name: 2023-07-07T20:05:32.2177882Z - function_overloads: 2023-07-07T20:05:32.2178082Z - onnx_args: 2023-07-07T20:05:32.2178269Z - onnx_kwargs: 2023-07-07T20:05:32.2178804Z - diagnostic_context: 2023-07-07T20:05:32.2179076Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2179560Z [2023-07-07 20:03:22,885] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_25]. 2023-07-07T20:05:32.2179798Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2179807Z 2023-07-07T20:05:32.2180148Z [2023-07-07 20:03:22,885] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2180497Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2180506Z 2023-07-07T20:05:32.2180818Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2181301Z - self: 2023-07-07T20:05:32.2181655Z - node: fx.Node(unsqueeze_25[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2181853Z - aten_name: 2023-07-07T20:05:32.2182078Z - function_overloads: 2023-07-07T20:05:32.2182277Z - onnx_args: 2023-07-07T20:05:32.2182476Z - onnx_kwargs: 2023-07-07T20:05:32.2183002Z - diagnostic_context: 2023-07-07T20:05:32.2183271Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2183771Z [2023-07-07 20:03:22,886] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_26]. 2023-07-07T20:05:32.2184044Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2184053Z 2023-07-07T20:05:32.2184395Z [2023-07-07 20:03:22,887] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2184744Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2184789Z 2023-07-07T20:05:32.2185102Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2185569Z - self: 2023-07-07T20:05:32.2185921Z - node: fx.Node(unsqueeze_26[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2186115Z - aten_name: 2023-07-07T20:05:32.2186329Z - function_overloads: 2023-07-07T20:05:32.2186534Z - onnx_args: 2023-07-07T20:05:32.2186732Z - onnx_kwargs: 2023-07-07T20:05:32.2187262Z - diagnostic_context: 2023-07-07T20:05:32.2187535Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2188019Z [2023-07-07 20:03:22,888] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_27]. 2023-07-07T20:05:32.2188262Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2188273Z 2023-07-07T20:05:32.2188612Z [2023-07-07 20:03:22,888] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2188943Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2188968Z 2023-07-07T20:05:32.2189271Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2189731Z - self: 2023-07-07T20:05:32.2190091Z - node: fx.Node(unsqueeze_27[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2190285Z - aten_name: 2023-07-07T20:05:32.2190510Z - function_overloads: 2023-07-07T20:05:32.2190709Z - onnx_args: 2023-07-07T20:05:32.2190910Z - onnx_kwargs: 2023-07-07T20:05:32.2191431Z - diagnostic_context: 2023-07-07T20:05:32.2191705Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2192182Z [2023-07-07 20:03:22,894] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_28]. 2023-07-07T20:05:32.2192421Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2192430Z 2023-07-07T20:05:32.2192769Z [2023-07-07 20:03:22,894] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2193109Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2193120Z 2023-07-07T20:05:32.2193434Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2193900Z - self: 2023-07-07T20:05:32.2194305Z - node: fx.Node(unsqueeze_28[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2194491Z - aten_name: 2023-07-07T20:05:32.2194781Z - function_overloads: 2023-07-07T20:05:32.2194986Z - onnx_args: 2023-07-07T20:05:32.2195188Z - onnx_kwargs: 2023-07-07T20:05:32.2195718Z - diagnostic_context: 2023-07-07T20:05:32.2195987Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2196464Z [2023-07-07 20:03:22,895] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_29]. 2023-07-07T20:05:32.2196752Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2196761Z 2023-07-07T20:05:32.2197118Z [2023-07-07 20:03:22,895] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2197465Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2197474Z 2023-07-07T20:05:32.2197791Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2198296Z - self: 2023-07-07T20:05:32.2198647Z - node: fx.Node(unsqueeze_29[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2198840Z - aten_name: 2023-07-07T20:05:32.2199067Z - function_overloads: 2023-07-07T20:05:32.2199263Z - onnx_args: 2023-07-07T20:05:32.2199448Z - onnx_kwargs: 2023-07-07T20:05:32.2199978Z - diagnostic_context: 2023-07-07T20:05:32.2200251Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2200733Z [2023-07-07 20:03:22,899] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_30]. 2023-07-07T20:05:32.2200974Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2200983Z 2023-07-07T20:05:32.2201321Z [2023-07-07 20:03:22,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2201672Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2201681Z 2023-07-07T20:05:32.2201992Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2202465Z - self: 2023-07-07T20:05:32.2202807Z - node: fx.Node(unsqueeze_30[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2203004Z - aten_name: 2023-07-07T20:05:32.2203234Z - function_overloads: 2023-07-07T20:05:32.2203432Z - onnx_args: 2023-07-07T20:05:32.2203636Z - onnx_kwargs: 2023-07-07T20:05:32.2204170Z - diagnostic_context: 2023-07-07T20:05:32.2204539Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2205013Z [2023-07-07 20:03:22,900] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_31]. 2023-07-07T20:05:32.2205261Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2205270Z 2023-07-07T20:05:32.2205604Z [2023-07-07 20:03:22,900] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2205929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2205941Z 2023-07-07T20:05:32.2206257Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2206701Z - self: 2023-07-07T20:05:32.2207056Z - node: fx.Node(unsqueeze_31[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2207246Z - aten_name: 2023-07-07T20:05:32.2207573Z - function_overloads: 2023-07-07T20:05:32.2207758Z - onnx_args: 2023-07-07T20:05:32.2207959Z - onnx_kwargs: 2023-07-07T20:05:32.2208487Z - diagnostic_context: 2023-07-07T20:05:32.2208761Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2209255Z [2023-07-07 20:03:22,910] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:32.2209499Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2209555Z 2023-07-07T20:05:32.2209898Z [2023-07-07 20:03:22,910] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2210386Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2210396Z 2023-07-07T20:05:32.2210700Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2211164Z - self: 2023-07-07T20:05:32.2211580Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2211772Z - aten_name: 2023-07-07T20:05:32.2212006Z - function_overloads: 2023-07-07T20:05:32.2212208Z - onnx_args: 2023-07-07T20:05:32.2212411Z - onnx_kwargs: 2023-07-07T20:05:32.2212949Z - diagnostic_context: 2023-07-07T20:05:32.2213307Z - Return value: 2023-07-07T20:05:32.2213844Z [2023-07-07 20:03:22,914] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_8]. 2023-07-07T20:05:32.2214113Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2214123Z 2023-07-07T20:05:32.2214464Z [2023-07-07 20:03:22,915] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2214811Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2214822Z 2023-07-07T20:05:32.2215140Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2215604Z - self: 2023-07-07T20:05:32.2216022Z - node: fx.Node(convert_element_type_8[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2216221Z - aten_name: 2023-07-07T20:05:32.2216433Z - function_overloads: 2023-07-07T20:05:32.2216636Z - onnx_args: 2023-07-07T20:05:32.2216836Z - onnx_kwargs: 2023-07-07T20:05:32.2217362Z - diagnostic_context: 2023-07-07T20:05:32.2217681Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2218220Z [2023-07-07 20:03:22,916] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_9]. 2023-07-07T20:05:32.2218497Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2218506Z 2023-07-07T20:05:32.2218844Z [2023-07-07 20:03:22,917] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2219168Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2219180Z 2023-07-07T20:05:32.2219490Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2219956Z - self: 2023-07-07T20:05:32.2220374Z - node: fx.Node(convert_element_type_9[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2220569Z - aten_name: 2023-07-07T20:05:32.2220841Z - function_overloads: 2023-07-07T20:05:32.2221042Z - onnx_args: 2023-07-07T20:05:32.2221247Z - onnx_kwargs: 2023-07-07T20:05:32.2221756Z - diagnostic_context: 2023-07-07T20:05:32.2222072Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2222517Z [2023-07-07 20:03:22,923] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_4]. 2023-07-07T20:05:32.2222755Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2222799Z 2023-07-07T20:05:32.2223173Z [2023-07-07 20:03:22,923] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2223520Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2223531Z 2023-07-07T20:05:32.2223846Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2224309Z - self: 2023-07-07T20:05:32.2224667Z - node: fx.Node(tensor_int_4[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2224844Z - aten_name: 2023-07-07T20:05:32.2225070Z - function_overloads: 2023-07-07T20:05:32.2225266Z - onnx_args: 2023-07-07T20:05:32.2225472Z - onnx_kwargs: 2023-07-07T20:05:32.2226003Z - diagnostic_context: 2023-07-07T20:05:32.2226278Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2226760Z [2023-07-07 20:03:22,929] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_32]. 2023-07-07T20:05:32.2226985Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2226994Z 2023-07-07T20:05:32.2227334Z [2023-07-07 20:03:22,929] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2227685Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2227696Z 2023-07-07T20:05:32.2228010Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2228478Z - self: 2023-07-07T20:05:32.2228836Z - node: fx.Node(unsqueeze_32[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2229030Z - aten_name: 2023-07-07T20:05:32.2229260Z - function_overloads: 2023-07-07T20:05:32.2229443Z - onnx_args: 2023-07-07T20:05:32.2229647Z - onnx_kwargs: 2023-07-07T20:05:32.2230170Z - diagnostic_context: 2023-07-07T20:05:32.2230442Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2230924Z [2023-07-07 20:03:22,931] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_33]. 2023-07-07T20:05:32.2231170Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2231178Z 2023-07-07T20:05:32.2231511Z [2023-07-07 20:03:22,931] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2231855Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2231864Z 2023-07-07T20:05:32.2232173Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2232623Z - self: 2023-07-07T20:05:32.2232983Z - node: fx.Node(unsqueeze_33[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2233173Z - aten_name: 2023-07-07T20:05:32.2233401Z - function_overloads: 2023-07-07T20:05:32.2233601Z - onnx_args: 2023-07-07T20:05:32.2233846Z - onnx_kwargs: 2023-07-07T20:05:32.2234373Z - diagnostic_context: 2023-07-07T20:05:32.2234693Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2235170Z [2023-07-07 20:03:22,932] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_34]. 2023-07-07T20:05:32.2235411Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2235420Z 2023-07-07T20:05:32.2235762Z [2023-07-07 20:03:22,932] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2236186Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2236195Z 2023-07-07T20:05:32.2236512Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2236978Z - self: 2023-07-07T20:05:32.2237336Z - node: fx.Node(unsqueeze_34[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2237569Z - aten_name: 2023-07-07T20:05:32.2237780Z - function_overloads: 2023-07-07T20:05:32.2237981Z - onnx_args: 2023-07-07T20:05:32.2238183Z - onnx_kwargs: 2023-07-07T20:05:32.2238707Z - diagnostic_context: 2023-07-07T20:05:32.2238974Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2239456Z [2023-07-07 20:03:22,934] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_35]. 2023-07-07T20:05:32.2239694Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2239705Z 2023-07-07T20:05:32.2240040Z [2023-07-07 20:03:22,934] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2240375Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2240401Z 2023-07-07T20:05:32.2240703Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2241163Z - self: 2023-07-07T20:05:32.2241514Z - node: fx.Node(unsqueeze_35[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2241709Z - aten_name: 2023-07-07T20:05:32.2241939Z - function_overloads: 2023-07-07T20:05:32.2242137Z - onnx_args: 2023-07-07T20:05:32.2242340Z - onnx_kwargs: 2023-07-07T20:05:32.2242869Z - diagnostic_context: 2023-07-07T20:05:32.2243138Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2243617Z [2023-07-07 20:03:22,940] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_36]. 2023-07-07T20:05:32.2243861Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2243870Z 2023-07-07T20:05:32.2244210Z [2023-07-07 20:03:22,940] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2244658Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2244667Z 2023-07-07T20:05:32.2244982Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2245445Z - self: 2023-07-07T20:05:32.2245805Z - node: fx.Node(unsqueeze_36[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2245990Z - aten_name: 2023-07-07T20:05:32.2246219Z - function_overloads: 2023-07-07T20:05:32.2246415Z - onnx_args: 2023-07-07T20:05:32.2246619Z - onnx_kwargs: 2023-07-07T20:05:32.2247216Z - diagnostic_context: 2023-07-07T20:05:32.2247485Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2247968Z [2023-07-07 20:03:22,941] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_37]. 2023-07-07T20:05:32.2248197Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2248220Z 2023-07-07T20:05:32.2248545Z [2023-07-07 20:03:22,941] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2248893Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2248941Z 2023-07-07T20:05:32.2249309Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2249775Z - self: 2023-07-07T20:05:32.2250129Z - node: fx.Node(unsqueeze_37[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2250327Z - aten_name: 2023-07-07T20:05:32.2250558Z - function_overloads: 2023-07-07T20:05:32.2250801Z - onnx_args: 2023-07-07T20:05:32.2250987Z - onnx_kwargs: 2023-07-07T20:05:32.2251512Z - diagnostic_context: 2023-07-07T20:05:32.2251784Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2252265Z [2023-07-07 20:03:22,945] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_38]. 2023-07-07T20:05:32.2252508Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2252516Z 2023-07-07T20:05:32.2252858Z [2023-07-07 20:03:22,945] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2253208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2253217Z 2023-07-07T20:05:32.2253531Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2253984Z - self: 2023-07-07T20:05:32.2254340Z - node: fx.Node(unsqueeze_38[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2254530Z - aten_name: 2023-07-07T20:05:32.2254757Z - function_overloads: 2023-07-07T20:05:32.2254956Z - onnx_args: 2023-07-07T20:05:32.2255160Z - onnx_kwargs: 2023-07-07T20:05:32.2255686Z - diagnostic_context: 2023-07-07T20:05:32.2255961Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2256424Z [2023-07-07 20:03:22,947] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_39]. 2023-07-07T20:05:32.2256663Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2256672Z 2023-07-07T20:05:32.2257014Z [2023-07-07 20:03:22,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2257366Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2257375Z 2023-07-07T20:05:32.2257687Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2258147Z - self: 2023-07-07T20:05:32.2258496Z - node: fx.Node(unsqueeze_39[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2258690Z - aten_name: 2023-07-07T20:05:32.2258905Z - function_overloads: 2023-07-07T20:05:32.2259101Z - onnx_args: 2023-07-07T20:05:32.2259302Z - onnx_kwargs: 2023-07-07T20:05:32.2259827Z - diagnostic_context: 2023-07-07T20:05:32.2260096Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2260626Z [2023-07-07 20:03:22,951] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:32.2260876Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2260883Z 2023-07-07T20:05:32.2261218Z [2023-07-07 20:03:22,951] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2261549Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2261570Z 2023-07-07T20:05:32.2261906Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2262403Z - self: 2023-07-07T20:05:32.2262778Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2262972Z - aten_name: 2023-07-07T20:05:32.2263200Z - function_overloads: 2023-07-07T20:05:32.2263401Z - onnx_args: 2023-07-07T20:05:32.2263601Z - onnx_kwargs: 2023-07-07T20:05:32.2264151Z - diagnostic_context: 2023-07-07T20:05:32.2264520Z - Return value: 2023-07-07T20:05:32.2265067Z [2023-07-07 20:03:22,955] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_10]. 2023-07-07T20:05:32.2265337Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2265348Z 2023-07-07T20:05:32.2265688Z [2023-07-07 20:03:22,955] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2266035Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2266043Z 2023-07-07T20:05:32.2266358Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2266820Z - self: 2023-07-07T20:05:32.2267249Z - node: fx.Node(convert_element_type_10[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2267428Z - aten_name: 2023-07-07T20:05:32.2267657Z - function_overloads: 2023-07-07T20:05:32.2267849Z - onnx_args: 2023-07-07T20:05:32.2268045Z - onnx_kwargs: 2023-07-07T20:05:32.2268581Z - diagnostic_context: 2023-07-07T20:05:32.2268903Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2269445Z [2023-07-07 20:03:22,957] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_11]. 2023-07-07T20:05:32.2269716Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2269725Z 2023-07-07T20:05:32.2270055Z [2023-07-07 20:03:22,957] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2270404Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2270412Z 2023-07-07T20:05:32.2270725Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2271187Z - self: 2023-07-07T20:05:32.2271601Z - node: fx.Node(convert_element_type_11[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2271796Z - aten_name: 2023-07-07T20:05:32.2272024Z - function_overloads: 2023-07-07T20:05:32.2272227Z - onnx_args: 2023-07-07T20:05:32.2272415Z - onnx_kwargs: 2023-07-07T20:05:32.2272938Z - diagnostic_context: 2023-07-07T20:05:32.2273284Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2273875Z [2023-07-07 20:03:22,963] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_5]. 2023-07-07T20:05:32.2274117Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2274125Z 2023-07-07T20:05:32.2274471Z [2023-07-07 20:03:22,963] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2274876Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2274930Z 2023-07-07T20:05:32.2275247Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2275751Z - self: 2023-07-07T20:05:32.2276060Z - node: fx.Node(tensor_int_5[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2276254Z - aten_name: 2023-07-07T20:05:32.2276486Z - function_overloads: 2023-07-07T20:05:32.2276687Z - onnx_args: 2023-07-07T20:05:32.2276925Z - onnx_kwargs: 2023-07-07T20:05:32.2277451Z - diagnostic_context: 2023-07-07T20:05:32.2277722Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2278193Z [2023-07-07 20:03:22,970] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_40]. 2023-07-07T20:05:32.2278424Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2278436Z 2023-07-07T20:05:32.2278776Z [2023-07-07 20:03:22,970] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2279122Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2279131Z 2023-07-07T20:05:32.2279443Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2279910Z - self: 2023-07-07T20:05:32.2280586Z - node: fx.Node(unsqueeze_40[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2280789Z - aten_name: 2023-07-07T20:05:32.2281014Z - function_overloads: 2023-07-07T20:05:32.2281203Z - onnx_args: 2023-07-07T20:05:32.2281402Z - onnx_kwargs: 2023-07-07T20:05:32.2281929Z - diagnostic_context: 2023-07-07T20:05:32.2282204Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2282689Z [2023-07-07 20:03:22,971] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_41]. 2023-07-07T20:05:32.2282930Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2282939Z 2023-07-07T20:05:32.2283275Z [2023-07-07 20:03:22,971] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2283624Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2283636Z 2023-07-07T20:05:32.2283960Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2284499Z - self: 2023-07-07T20:05:32.2284862Z - node: fx.Node(unsqueeze_41[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2285058Z - aten_name: 2023-07-07T20:05:32.2285287Z - function_overloads: 2023-07-07T20:05:32.2285483Z - onnx_args: 2023-07-07T20:05:32.2285686Z - onnx_kwargs: 2023-07-07T20:05:32.2286213Z - diagnostic_context: 2023-07-07T20:05:32.2286468Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2287008Z [2023-07-07 20:03:22,973] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_42]. 2023-07-07T20:05:32.2287251Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2287263Z 2023-07-07T20:05:32.2287602Z [2023-07-07 20:03:22,973] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2287949Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2287958Z 2023-07-07T20:05:32.2288284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2288788Z - self: 2023-07-07T20:05:32.2289182Z - node: fx.Node(unsqueeze_42[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2289379Z - aten_name: 2023-07-07T20:05:32.2289591Z - function_overloads: 2023-07-07T20:05:32.2289789Z - onnx_args: 2023-07-07T20:05:32.2289993Z - onnx_kwargs: 2023-07-07T20:05:32.2290524Z - diagnostic_context: 2023-07-07T20:05:32.2290842Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2291318Z [2023-07-07 20:03:22,974] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_43]. 2023-07-07T20:05:32.2291560Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2291568Z 2023-07-07T20:05:32.2291908Z [2023-07-07 20:03:22,974] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2292237Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2292248Z 2023-07-07T20:05:32.2292571Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2293033Z - self: 2023-07-07T20:05:32.2293389Z - node: fx.Node(unsqueeze_43[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2293585Z - aten_name: 2023-07-07T20:05:32.2293815Z - function_overloads: 2023-07-07T20:05:32.2294012Z - onnx_args: 2023-07-07T20:05:32.2294214Z - onnx_kwargs: 2023-07-07T20:05:32.2294732Z - diagnostic_context: 2023-07-07T20:05:32.2295005Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2295486Z [2023-07-07 20:03:22,980] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_44]. 2023-07-07T20:05:32.2295730Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2295739Z 2023-07-07T20:05:32.2296077Z [2023-07-07 20:03:22,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2296421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2296432Z 2023-07-07T20:05:32.2296752Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2297217Z - self: 2023-07-07T20:05:32.2297568Z - node: fx.Node(unsqueeze_44[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2297750Z - aten_name: 2023-07-07T20:05:32.2297976Z - function_overloads: 2023-07-07T20:05:32.2298174Z - onnx_args: 2023-07-07T20:05:32.2298381Z - onnx_kwargs: 2023-07-07T20:05:32.2298909Z - diagnostic_context: 2023-07-07T20:05:32.2299177Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2299651Z [2023-07-07 20:03:22,981] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_45]. 2023-07-07T20:05:32.2299933Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2299943Z 2023-07-07T20:05:32.2300284Z [2023-07-07 20:03:22,981] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2300628Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2300637Z 2023-07-07T20:05:32.2300946Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2301407Z - self: 2023-07-07T20:05:32.2301798Z - node: fx.Node(unsqueeze_45[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2301991Z - aten_name: 2023-07-07T20:05:32.2302251Z - function_overloads: 2023-07-07T20:05:32.2302437Z - onnx_args: 2023-07-07T20:05:32.2302636Z - onnx_kwargs: 2023-07-07T20:05:32.2303171Z - diagnostic_context: 2023-07-07T20:05:32.2303444Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2303953Z [2023-07-07 20:03:22,985] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_46]. 2023-07-07T20:05:32.2304194Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2304203Z 2023-07-07T20:05:32.2304543Z [2023-07-07 20:03:22,985] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2304891Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2304902Z 2023-07-07T20:05:32.2305220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2305663Z - self: 2023-07-07T20:05:32.2306019Z - node: fx.Node(unsqueeze_46[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2306209Z - aten_name: 2023-07-07T20:05:32.2306439Z - function_overloads: 2023-07-07T20:05:32.2306638Z - onnx_args: 2023-07-07T20:05:32.2306839Z - onnx_kwargs: 2023-07-07T20:05:32.2307369Z - diagnostic_context: 2023-07-07T20:05:32.2307622Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2308101Z [2023-07-07 20:03:22,987] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_47]. 2023-07-07T20:05:32.2308342Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2308353Z 2023-07-07T20:05:32.2308692Z [2023-07-07 20:03:22,987] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2309037Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2309046Z 2023-07-07T20:05:32.2309363Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2309828Z - self: 2023-07-07T20:05:32.2310185Z - node: fx.Node(unsqueeze_47[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2310377Z - aten_name: 2023-07-07T20:05:32.2310594Z - function_overloads: 2023-07-07T20:05:32.2310789Z - onnx_args: 2023-07-07T20:05:32.2310986Z - onnx_kwargs: 2023-07-07T20:05:32.2311519Z - diagnostic_context: 2023-07-07T20:05:32.2311791Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2312222Z [2023-07-07 20:03:22,996] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T20:05:32.2312445Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2312454Z 2023-07-07T20:05:32.2312828Z [2023-07-07 20:03:22,996] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2313164Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2313192Z 2023-07-07T20:05:32.2313492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2313954Z - self: 2023-07-07T20:05:32.2314247Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T20:05:32.2314439Z - aten_name: 2023-07-07T20:05:32.2314803Z - function_overloads: 2023-07-07T20:05:32.2315004Z - onnx_args: 2023-07-07T20:05:32.2315244Z - onnx_kwargs: 2023-07-07T20:05:32.2315761Z - diagnostic_context: 2023-07-07T20:05:32.2316007Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.2316425Z [2023-07-07 20:03:22,998] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.2316698Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2316707Z 2023-07-07T20:05:32.2317045Z [2023-07-07 20:03:22,998] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2317397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2317406Z 2023-07-07T20:05:32.2317722Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2318186Z - self: 2023-07-07T20:05:32.2318482Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.2318665Z - aten_name: 2023-07-07T20:05:32.2318887Z - function_overloads: 2023-07-07T20:05:32.2319084Z - onnx_args: 2023-07-07T20:05:32.2319285Z - onnx_kwargs: 2023-07-07T20:05:32.2319814Z - diagnostic_context: 2023-07-07T20:05:32.2320083Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.2320507Z [2023-07-07 20:03:22,999] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:32.2320729Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2320738Z 2023-07-07T20:05:32.2321073Z [2023-07-07 20:03:22,999] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2321421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2321433Z 2023-07-07T20:05:32.2321746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2322214Z - self: 2023-07-07T20:05:32.2322517Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:32.2322709Z - aten_name: 2023-07-07T20:05:32.2322940Z - function_overloads: 2023-07-07T20:05:32.2323121Z - onnx_args: 2023-07-07T20:05:32.2323321Z - onnx_kwargs: 2023-07-07T20:05:32.2323848Z - diagnostic_context: 2023-07-07T20:05:32.2324112Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.2324667Z [2023-07-07 20:03:23,003] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.2324912Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2324921Z 2023-07-07T20:05:32.2325267Z [2023-07-07 20:03:23,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2325618Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2325627Z 2023-07-07T20:05:32.2326006Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2326458Z - self: 2023-07-07T20:05:32.2326793Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.2326984Z - aten_name: 2023-07-07T20:05:32.2327212Z - function_overloads: 2023-07-07T20:05:32.2327413Z - onnx_args: 2023-07-07T20:05:32.2327616Z - onnx_kwargs: 2023-07-07T20:05:32.2328178Z - diagnostic_context: 2023-07-07T20:05:32.2328572Z - Return value: 2023-07-07T20:05:32.2329009Z [2023-07-07 20:03:23,005] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:32.2329236Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2329245Z 2023-07-07T20:05:32.2329590Z [2023-07-07 20:03:23,005] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2329989Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2329998Z 2023-07-07T20:05:32.2330311Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2330775Z - self: 2023-07-07T20:05:32.2331084Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:32.2331278Z - aten_name: 2023-07-07T20:05:32.2331495Z - function_overloads: 2023-07-07T20:05:32.2331692Z - onnx_args: 2023-07-07T20:05:32.2331893Z - onnx_kwargs: 2023-07-07T20:05:32.2332423Z - diagnostic_context: 2023-07-07T20:05:32.2332681Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.2333112Z [2023-07-07 20:03:23,009] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:32.2333349Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2333358Z 2023-07-07T20:05:32.2333695Z [2023-07-07 20:03:23,009] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2334023Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2334046Z 2023-07-07T20:05:32.2334350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2334816Z - self: 2023-07-07T20:05:32.2335128Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.2335324Z - aten_name: 2023-07-07T20:05:32.2335549Z - function_overloads: 2023-07-07T20:05:32.2335755Z - onnx_args: 2023-07-07T20:05:32.2335956Z - onnx_kwargs: 2023-07-07T20:05:32.2336474Z - diagnostic_context: 2023-07-07T20:05:32.2336728Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.2337195Z [2023-07-07 20:03:23,011] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_2]. 2023-07-07T20:05:32.2337431Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2337439Z 2023-07-07T20:05:32.2337784Z [2023-07-07 20:03:23,011] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2338132Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2338140Z 2023-07-07T20:05:32.2338454Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2338963Z - self: 2023-07-07T20:05:32.2339311Z - node: fx.Node(getitem_2[call_function]'') 2023-07-07T20:05:32.2339490Z - aten_name: 2023-07-07T20:05:32.2339718Z - function_overloads: 2023-07-07T20:05:32.2339916Z - onnx_args: 2023-07-07T20:05:32.2340112Z - onnx_kwargs: 2023-07-07T20:05:32.2340640Z - diagnostic_context: 2023-07-07T20:05:32.2340902Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.2341461Z [2023-07-07 20:03:23,012] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T20:05:32.2341688Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2341710Z 2023-07-07T20:05:32.2342033Z [2023-07-07 20:03:23,012] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2342381Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2342426Z 2023-07-07T20:05:32.2342735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2343201Z - self: 2023-07-07T20:05:32.2343544Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T20:05:32.2343739Z - aten_name: 2023-07-07T20:05:32.2343967Z - function_overloads: 2023-07-07T20:05:32.2344166Z - onnx_args: 2023-07-07T20:05:32.2344351Z - onnx_kwargs: 2023-07-07T20:05:32.2344881Z - diagnostic_context: 2023-07-07T20:05:32.2345146Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.2345639Z [2023-07-07 20:03:23,014] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:32.2345887Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2345898Z 2023-07-07T20:05:32.2346237Z [2023-07-07 20:03:23,015] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2346580Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2346589Z 2023-07-07T20:05:32.2346904Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2347355Z - self: 2023-07-07T20:05:32.2347727Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2347916Z - aten_name: 2023-07-07T20:05:32.2348144Z - function_overloads: 2023-07-07T20:05:32.2348340Z - onnx_args: 2023-07-07T20:05:32.2348544Z - onnx_kwargs: 2023-07-07T20:05:32.2349076Z - diagnostic_context: 2023-07-07T20:05:32.2349449Z - Return value: 2023-07-07T20:05:32.2349980Z [2023-07-07 20:03:23,019] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_12]. 2023-07-07T20:05:32.2350254Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2350265Z 2023-07-07T20:05:32.2350600Z [2023-07-07 20:03:23,019] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2350951Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2350962Z 2023-07-07T20:05:32.2351274Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2351737Z - self: 2023-07-07T20:05:32.2352194Z - node: fx.Node(convert_element_type_12[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2352392Z - aten_name: 2023-07-07T20:05:32.2352620Z - function_overloads: 2023-07-07T20:05:32.2352803Z - onnx_args: 2023-07-07T20:05:32.2353003Z - onnx_kwargs: 2023-07-07T20:05:32.2353533Z - diagnostic_context: 2023-07-07T20:05:32.2353852Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2354460Z [2023-07-07 20:03:23,021] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_13]. 2023-07-07T20:05:32.2354787Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2354798Z 2023-07-07T20:05:32.2355141Z [2023-07-07 20:03:23,021] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2355497Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2355541Z 2023-07-07T20:05:32.2355842Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2356306Z - self: 2023-07-07T20:05:32.2356726Z - node: fx.Node(convert_element_type_13[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2356922Z - aten_name: 2023-07-07T20:05:32.2357151Z - function_overloads: 2023-07-07T20:05:32.2357348Z - onnx_args: 2023-07-07T20:05:32.2357553Z - onnx_kwargs: 2023-07-07T20:05:32.2358085Z - diagnostic_context: 2023-07-07T20:05:32.2358386Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2358838Z [2023-07-07 20:03:23,027] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_6]. 2023-07-07T20:05:32.2359081Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2359093Z 2023-07-07T20:05:32.2359430Z [2023-07-07 20:03:23,027] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2359778Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2359788Z 2023-07-07T20:05:32.2360101Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2360566Z - self: 2023-07-07T20:05:32.2360889Z - node: fx.Node(tensor_int_6[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2361080Z - aten_name: 2023-07-07T20:05:32.2361294Z - function_overloads: 2023-07-07T20:05:32.2361491Z - onnx_args: 2023-07-07T20:05:32.2361694Z - onnx_kwargs: 2023-07-07T20:05:32.2362220Z - diagnostic_context: 2023-07-07T20:05:32.2362495Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2362970Z [2023-07-07 20:03:23,034] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_48]. 2023-07-07T20:05:32.2363211Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2363220Z 2023-07-07T20:05:32.2363542Z [2023-07-07 20:03:23,034] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2363889Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2363900Z 2023-07-07T20:05:32.2364218Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2364790Z - self: 2023-07-07T20:05:32.2365215Z - node: fx.Node(unsqueeze_48[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2365416Z - aten_name: 2023-07-07T20:05:32.2365643Z - function_overloads: 2023-07-07T20:05:32.2365843Z - onnx_args: 2023-07-07T20:05:32.2366026Z - onnx_kwargs: 2023-07-07T20:05:32.2366557Z - diagnostic_context: 2023-07-07T20:05:32.2366829Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2367313Z [2023-07-07 20:03:23,035] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_49]. 2023-07-07T20:05:32.2367638Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2367652Z 2023-07-07T20:05:32.2367997Z [2023-07-07 20:03:23,035] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2368348Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2368359Z 2023-07-07T20:05:32.2368671Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2369183Z - self: 2023-07-07T20:05:32.2369524Z - node: fx.Node(unsqueeze_49[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2369719Z - aten_name: 2023-07-07T20:05:32.2369943Z - function_overloads: 2023-07-07T20:05:32.2370137Z - onnx_args: 2023-07-07T20:05:32.2370345Z - onnx_kwargs: 2023-07-07T20:05:32.2370869Z - diagnostic_context: 2023-07-07T20:05:32.2371145Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2371605Z [2023-07-07 20:03:23,037] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_50]. 2023-07-07T20:05:32.2371848Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2371857Z 2023-07-07T20:05:32.2372196Z [2023-07-07 20:03:23,037] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2372542Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2372551Z 2023-07-07T20:05:32.2372865Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2373322Z - self: 2023-07-07T20:05:32.2373674Z - node: fx.Node(unsqueeze_50[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2373869Z - aten_name: 2023-07-07T20:05:32.2374101Z - function_overloads: 2023-07-07T20:05:32.2374286Z - onnx_args: 2023-07-07T20:05:32.2374485Z - onnx_kwargs: 2023-07-07T20:05:32.2375016Z - diagnostic_context: 2023-07-07T20:05:32.2375288Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2375772Z [2023-07-07 20:03:23,038] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_51]. 2023-07-07T20:05:32.2376011Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2376020Z 2023-07-07T20:05:32.2376361Z [2023-07-07 20:03:23,038] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2376708Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2376722Z 2023-07-07T20:05:32.2377033Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2377484Z - self: 2023-07-07T20:05:32.2377840Z - node: fx.Node(unsqueeze_51[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2378033Z - aten_name: 2023-07-07T20:05:32.2378304Z - function_overloads: 2023-07-07T20:05:32.2378508Z - onnx_args: 2023-07-07T20:05:32.2378714Z - onnx_kwargs: 2023-07-07T20:05:32.2379241Z - diagnostic_context: 2023-07-07T20:05:32.2379500Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2379979Z [2023-07-07 20:03:23,044] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_52]. 2023-07-07T20:05:32.2380220Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2380263Z 2023-07-07T20:05:32.2380642Z [2023-07-07 20:03:23,044] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2380988Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2380997Z 2023-07-07T20:05:32.2381313Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2381775Z - self: 2023-07-07T20:05:32.2382164Z - node: fx.Node(unsqueeze_52[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2382357Z - aten_name: 2023-07-07T20:05:32.2382565Z - function_overloads: 2023-07-07T20:05:32.2382762Z - onnx_args: 2023-07-07T20:05:32.2382966Z - onnx_kwargs: 2023-07-07T20:05:32.2383500Z - diagnostic_context: 2023-07-07T20:05:32.2383769Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2384256Z [2023-07-07 20:03:23,046] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_53]. 2023-07-07T20:05:32.2384493Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2384502Z 2023-07-07T20:05:32.2384845Z [2023-07-07 20:03:23,046] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2385177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2385190Z 2023-07-07T20:05:32.2385507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2385975Z - self: 2023-07-07T20:05:32.2386325Z - node: fx.Node(unsqueeze_53[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2386522Z - aten_name: 2023-07-07T20:05:32.2386746Z - function_overloads: 2023-07-07T20:05:32.2386945Z - onnx_args: 2023-07-07T20:05:32.2387146Z - onnx_kwargs: 2023-07-07T20:05:32.2387662Z - diagnostic_context: 2023-07-07T20:05:32.2387929Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2388415Z [2023-07-07 20:03:23,049] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_54]. 2023-07-07T20:05:32.2388657Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2388666Z 2023-07-07T20:05:32.2389001Z [2023-07-07 20:03:23,049] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2389349Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2389357Z 2023-07-07T20:05:32.2389671Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2390136Z - self: 2023-07-07T20:05:32.2390472Z - node: fx.Node(unsqueeze_54[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2390661Z - aten_name: 2023-07-07T20:05:32.2390885Z - function_overloads: 2023-07-07T20:05:32.2391080Z - onnx_args: 2023-07-07T20:05:32.2391340Z - onnx_kwargs: 2023-07-07T20:05:32.2391864Z - diagnostic_context: 2023-07-07T20:05:32.2392137Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2392617Z [2023-07-07 20:03:23,051] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_55]. 2023-07-07T20:05:32.2392843Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2392852Z 2023-07-07T20:05:32.2393187Z [2023-07-07 20:03:23,051] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2393598Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2393608Z 2023-07-07T20:05:32.2393924Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2394393Z - self: 2023-07-07T20:05:32.2394816Z - node: fx.Node(unsqueeze_55[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2395052Z - aten_name: 2023-07-07T20:05:32.2395283Z - function_overloads: 2023-07-07T20:05:32.2395467Z - onnx_args: 2023-07-07T20:05:32.2395665Z - onnx_kwargs: 2023-07-07T20:05:32.2396191Z - diagnostic_context: 2023-07-07T20:05:32.2396463Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2396966Z [2023-07-07 20:03:23,060] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:32.2397218Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2397227Z 2023-07-07T20:05:32.2397568Z [2023-07-07 20:03:23,060] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2397921Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2397932Z 2023-07-07T20:05:32.2398248Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2398700Z - self: 2023-07-07T20:05:32.2399073Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2399269Z - aten_name: 2023-07-07T20:05:32.2399497Z - function_overloads: 2023-07-07T20:05:32.2399698Z - onnx_args: 2023-07-07T20:05:32.2399903Z - onnx_kwargs: 2023-07-07T20:05:32.2400431Z - diagnostic_context: 2023-07-07T20:05:32.2400791Z - Return value: 2023-07-07T20:05:32.2401346Z [2023-07-07 20:03:23,064] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_14]. 2023-07-07T20:05:32.2401614Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2401626Z 2023-07-07T20:05:32.2401964Z [2023-07-07 20:03:23,065] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2402314Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2402323Z 2023-07-07T20:05:32.2402634Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2403102Z - self: 2023-07-07T20:05:32.2403524Z - node: fx.Node(convert_element_type_14[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2403718Z - aten_name: 2023-07-07T20:05:32.2403933Z - function_overloads: 2023-07-07T20:05:32.2404131Z - onnx_args: 2023-07-07T20:05:32.2404373Z - onnx_kwargs: 2023-07-07T20:05:32.2405010Z - diagnostic_context: 2023-07-07T20:05:32.2405335Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2405875Z [2023-07-07 20:03:23,066] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_15]. 2023-07-07T20:05:32.2406144Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2406155Z 2023-07-07T20:05:32.2406491Z [2023-07-07 20:03:23,066] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2406921Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2406947Z 2023-07-07T20:05:32.2407249Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2407719Z - self: 2023-07-07T20:05:32.2408138Z - node: fx.Node(convert_element_type_15[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2408376Z - aten_name: 2023-07-07T20:05:32.2408604Z - function_overloads: 2023-07-07T20:05:32.2408802Z - onnx_args: 2023-07-07T20:05:32.2409003Z - onnx_kwargs: 2023-07-07T20:05:32.2409525Z - diagnostic_context: 2023-07-07T20:05:32.2409841Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2410290Z [2023-07-07 20:03:23,072] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_7]. 2023-07-07T20:05:32.2410534Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2410542Z 2023-07-07T20:05:32.2410881Z [2023-07-07 20:03:23,072] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2411228Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2411242Z 2023-07-07T20:05:32.2411553Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2412014Z - self: 2023-07-07T20:05:32.2412333Z - node: fx.Node(tensor_int_7[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2412514Z - aten_name: 2023-07-07T20:05:32.2412742Z - function_overloads: 2023-07-07T20:05:32.2412941Z - onnx_args: 2023-07-07T20:05:32.2413144Z - onnx_kwargs: 2023-07-07T20:05:32.2413681Z - diagnostic_context: 2023-07-07T20:05:32.2413952Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2414442Z [2023-07-07 20:03:23,080] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_56]. 2023-07-07T20:05:32.2414681Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2414692Z 2023-07-07T20:05:32.2415013Z [2023-07-07 20:03:23,080] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2415356Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2415365Z 2023-07-07T20:05:32.2415676Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2416136Z - self: 2023-07-07T20:05:32.2416490Z - node: fx.Node(unsqueeze_56[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2416684Z - aten_name: 2023-07-07T20:05:32.2416913Z - function_overloads: 2023-07-07T20:05:32.2417109Z - onnx_args: 2023-07-07T20:05:32.2417299Z - onnx_kwargs: 2023-07-07T20:05:32.2417899Z - diagnostic_context: 2023-07-07T20:05:32.2418174Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2418650Z [2023-07-07 20:03:23,082] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_57]. 2023-07-07T20:05:32.2418893Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2418902Z 2023-07-07T20:05:32.2419246Z [2023-07-07 20:03:23,082] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2419621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2419630Z 2023-07-07T20:05:32.2419974Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2420444Z - self: 2023-07-07T20:05:32.2420790Z - node: fx.Node(unsqueeze_57[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2420981Z - aten_name: 2023-07-07T20:05:32.2421241Z - function_overloads: 2023-07-07T20:05:32.2421437Z - onnx_args: 2023-07-07T20:05:32.2421639Z - onnx_kwargs: 2023-07-07T20:05:32.2422166Z - diagnostic_context: 2023-07-07T20:05:32.2422435Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2422896Z [2023-07-07 20:03:23,083] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_58]. 2023-07-07T20:05:32.2423140Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2423151Z 2023-07-07T20:05:32.2423488Z [2023-07-07 20:03:23,083] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2423831Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2423840Z 2023-07-07T20:05:32.2424161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2424630Z - self: 2023-07-07T20:05:32.2424990Z - node: fx.Node(unsqueeze_58[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2425184Z - aten_name: 2023-07-07T20:05:32.2425414Z - function_overloads: 2023-07-07T20:05:32.2425600Z - onnx_args: 2023-07-07T20:05:32.2425800Z - onnx_kwargs: 2023-07-07T20:05:32.2426334Z - diagnostic_context: 2023-07-07T20:05:32.2426601Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2427082Z [2023-07-07 20:03:23,085] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_59]. 2023-07-07T20:05:32.2427324Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2427336Z 2023-07-07T20:05:32.2427679Z [2023-07-07 20:03:23,085] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2428029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2428038Z 2023-07-07T20:05:32.2428334Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2428795Z - self: 2023-07-07T20:05:32.2429151Z - node: fx.Node(unsqueeze_59[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2429345Z - aten_name: 2023-07-07T20:05:32.2429575Z - function_overloads: 2023-07-07T20:05:32.2429774Z - onnx_args: 2023-07-07T20:05:32.2429974Z - onnx_kwargs: 2023-07-07T20:05:32.2430500Z - diagnostic_context: 2023-07-07T20:05:32.2430804Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2431287Z [2023-07-07 20:03:23,091] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_60]. 2023-07-07T20:05:32.2431566Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2431575Z 2023-07-07T20:05:32.2431925Z [2023-07-07 20:03:23,091] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2432274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2432324Z 2023-07-07T20:05:32.2432636Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2433153Z - self: 2023-07-07T20:05:32.2433506Z - node: fx.Node(unsqueeze_60[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2433700Z - aten_name: 2023-07-07T20:05:32.2433914Z - function_overloads: 2023-07-07T20:05:32.2434109Z - onnx_args: 2023-07-07T20:05:32.2434354Z - onnx_kwargs: 2023-07-07T20:05:32.2434959Z - diagnostic_context: 2023-07-07T20:05:32.2435234Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2435713Z [2023-07-07 20:03:23,092] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_61]. 2023-07-07T20:05:32.2435955Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2435967Z 2023-07-07T20:05:32.2436292Z [2023-07-07 20:03:23,092] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2436641Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2436650Z 2023-07-07T20:05:32.2436965Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2437433Z - self: 2023-07-07T20:05:32.2437786Z - node: fx.Node(unsqueeze_61[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2437986Z - aten_name: 2023-07-07T20:05:32.2438213Z - function_overloads: 2023-07-07T20:05:32.2438419Z - onnx_args: 2023-07-07T20:05:32.2438605Z - onnx_kwargs: 2023-07-07T20:05:32.2439128Z - diagnostic_context: 2023-07-07T20:05:32.2439398Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2439886Z [2023-07-07 20:03:23,096] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_62]. 2023-07-07T20:05:32.2440125Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2440134Z 2023-07-07T20:05:32.2440474Z [2023-07-07 20:03:23,096] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2440822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2440836Z 2023-07-07T20:05:32.2441152Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2441617Z - self: 2023-07-07T20:05:32.2441952Z - node: fx.Node(unsqueeze_62[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2442150Z - aten_name: 2023-07-07T20:05:32.2442376Z - function_overloads: 2023-07-07T20:05:32.2442577Z - onnx_args: 2023-07-07T20:05:32.2442783Z - onnx_kwargs: 2023-07-07T20:05:32.2443307Z - diagnostic_context: 2023-07-07T20:05:32.2443574Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2444092Z [2023-07-07 20:03:23,097] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_63]. 2023-07-07T20:05:32.2444342Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2444350Z 2023-07-07T20:05:32.2445184Z [2023-07-07 20:03:23,097] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2445535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2445544Z 2023-07-07T20:05:32.2445854Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2446399Z - self: 2023-07-07T20:05:32.2446801Z - node: fx.Node(unsqueeze_63[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2447004Z - aten_name: 2023-07-07T20:05:32.2447227Z - function_overloads: 2023-07-07T20:05:32.2447411Z - onnx_args: 2023-07-07T20:05:32.2447615Z - onnx_kwargs: 2023-07-07T20:05:32.2448144Z - diagnostic_context: 2023-07-07T20:05:32.2448469Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2448968Z [2023-07-07 20:03:23,101] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:32.2449212Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2449221Z 2023-07-07T20:05:32.2449562Z [2023-07-07 20:03:23,102] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2449913Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2449923Z 2023-07-07T20:05:32.2450234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2450684Z - self: 2023-07-07T20:05:32.2451056Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2451251Z - aten_name: 2023-07-07T20:05:32.2451484Z - function_overloads: 2023-07-07T20:05:32.2451677Z - onnx_args: 2023-07-07T20:05:32.2451879Z - onnx_kwargs: 2023-07-07T20:05:32.2452406Z - diagnostic_context: 2023-07-07T20:05:32.2452756Z - Return value: 2023-07-07T20:05:32.2453302Z [2023-07-07 20:03:23,106] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_16]. 2023-07-07T20:05:32.2453572Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2453581Z 2023-07-07T20:05:32.2453921Z [2023-07-07 20:03:23,106] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2454274Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2454285Z 2023-07-07T20:05:32.2454600Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2455067Z - self: 2023-07-07T20:05:32.2455487Z - node: fx.Node(convert_element_type_16[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2455680Z - aten_name: 2023-07-07T20:05:32.2455893Z - function_overloads: 2023-07-07T20:05:32.2456093Z - onnx_args: 2023-07-07T20:05:32.2456293Z - onnx_kwargs: 2023-07-07T20:05:32.2456825Z - diagnostic_context: 2023-07-07T20:05:32.2457146Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2457753Z [2023-07-07 20:03:23,108] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_17]. 2023-07-07T20:05:32.2458028Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2458037Z 2023-07-07T20:05:32.2458381Z [2023-07-07 20:03:23,108] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2458715Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2458739Z 2023-07-07T20:05:32.2459039Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2459536Z - self: 2023-07-07T20:05:32.2459982Z - node: fx.Node(convert_element_type_17[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2460178Z - aten_name: 2023-07-07T20:05:32.2460408Z - function_overloads: 2023-07-07T20:05:32.2460605Z - onnx_args: 2023-07-07T20:05:32.2460813Z - onnx_kwargs: 2023-07-07T20:05:32.2461364Z - diagnostic_context: 2023-07-07T20:05:32.2461672Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2462109Z [2023-07-07 20:03:23,114] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_8]. 2023-07-07T20:05:32.2462350Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2462359Z 2023-07-07T20:05:32.2462697Z [2023-07-07 20:03:23,114] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2463051Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2463060Z 2023-07-07T20:05:32.2463375Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2463834Z - self: 2023-07-07T20:05:32.2464160Z - node: fx.Node(tensor_int_8[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2464344Z - aten_name: 2023-07-07T20:05:32.2464573Z - function_overloads: 2023-07-07T20:05:32.2464771Z - onnx_args: 2023-07-07T20:05:32.2464969Z - onnx_kwargs: 2023-07-07T20:05:32.2465505Z - diagnostic_context: 2023-07-07T20:05:32.2465783Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2466267Z [2023-07-07 20:03:23,121] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_64]. 2023-07-07T20:05:32.2466496Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2466518Z 2023-07-07T20:05:32.2466840Z [2023-07-07 20:03:23,121] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2467188Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2467199Z 2023-07-07T20:05:32.2467512Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2467984Z - self: 2023-07-07T20:05:32.2468340Z - node: fx.Node(unsqueeze_64[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2468531Z - aten_name: 2023-07-07T20:05:32.2468759Z - function_overloads: 2023-07-07T20:05:32.2468960Z - onnx_args: 2023-07-07T20:05:32.2469146Z - onnx_kwargs: 2023-07-07T20:05:32.2469678Z - diagnostic_context: 2023-07-07T20:05:32.2469946Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2470432Z [2023-07-07 20:03:23,123] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_65]. 2023-07-07T20:05:32.2470722Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2470734Z 2023-07-07T20:05:32.2471072Z [2023-07-07 20:03:23,123] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2471417Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2471426Z 2023-07-07T20:05:32.2471741Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2472203Z - self: 2023-07-07T20:05:32.2472575Z - node: fx.Node(unsqueeze_65[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2472807Z - aten_name: 2023-07-07T20:05:32.2473036Z - function_overloads: 2023-07-07T20:05:32.2473238Z - onnx_args: 2023-07-07T20:05:32.2473436Z - onnx_kwargs: 2023-07-07T20:05:32.2473965Z - diagnostic_context: 2023-07-07T20:05:32.2474269Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2474938Z [2023-07-07 20:03:23,124] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_66]. 2023-07-07T20:05:32.2475183Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2475192Z 2023-07-07T20:05:32.2475530Z [2023-07-07 20:03:23,124] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2475877Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2475888Z 2023-07-07T20:05:32.2476200Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2476663Z - self: 2023-07-07T20:05:32.2477020Z - node: fx.Node(unsqueeze_66[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2477216Z - aten_name: 2023-07-07T20:05:32.2477449Z - function_overloads: 2023-07-07T20:05:32.2477635Z - onnx_args: 2023-07-07T20:05:32.2477835Z - onnx_kwargs: 2023-07-07T20:05:32.2478364Z - diagnostic_context: 2023-07-07T20:05:32.2478638Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2479127Z [2023-07-07 20:03:23,126] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_67]. 2023-07-07T20:05:32.2479567Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2479576Z 2023-07-07T20:05:32.2479922Z [2023-07-07 20:03:23,126] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2480270Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2480278Z 2023-07-07T20:05:32.2480577Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2481046Z - self: 2023-07-07T20:05:32.2481400Z - node: fx.Node(unsqueeze_67[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2481598Z - aten_name: 2023-07-07T20:05:32.2481825Z - function_overloads: 2023-07-07T20:05:32.2482023Z - onnx_args: 2023-07-07T20:05:32.2482226Z - onnx_kwargs: 2023-07-07T20:05:32.2482744Z - diagnostic_context: 2023-07-07T20:05:32.2483027Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2483501Z [2023-07-07 20:03:23,131] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_68]. 2023-07-07T20:05:32.2483743Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2483752Z 2023-07-07T20:05:32.2484143Z [2023-07-07 20:03:23,132] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2484590Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2484600Z 2023-07-07T20:05:32.2484911Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2485383Z - self: 2023-07-07T20:05:32.2485745Z - node: fx.Node(unsqueeze_68[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2485983Z - aten_name: 2023-07-07T20:05:32.2486213Z - function_overloads: 2023-07-07T20:05:32.2486447Z - onnx_args: 2023-07-07T20:05:32.2486649Z - onnx_kwargs: 2023-07-07T20:05:32.2487175Z - diagnostic_context: 2023-07-07T20:05:32.2487451Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2487937Z [2023-07-07 20:03:23,133] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_69]. 2023-07-07T20:05:32.2488223Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2488232Z 2023-07-07T20:05:32.2488562Z [2023-07-07 20:03:23,133] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2488908Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2488916Z 2023-07-07T20:05:32.2489233Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2489699Z - self: 2023-07-07T20:05:32.2490058Z - node: fx.Node(unsqueeze_69[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2490255Z - aten_name: 2023-07-07T20:05:32.2490480Z - function_overloads: 2023-07-07T20:05:32.2490684Z - onnx_args: 2023-07-07T20:05:32.2490872Z - onnx_kwargs: 2023-07-07T20:05:32.2491395Z - diagnostic_context: 2023-07-07T20:05:32.2491662Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2492138Z [2023-07-07 20:03:23,137] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_70]. 2023-07-07T20:05:32.2492380Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2492391Z 2023-07-07T20:05:32.2492732Z [2023-07-07 20:03:23,137] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2493082Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2493091Z 2023-07-07T20:05:32.2493401Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2493871Z - self: 2023-07-07T20:05:32.2494211Z - node: fx.Node(unsqueeze_70[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2494404Z - aten_name: 2023-07-07T20:05:32.2494630Z - function_overloads: 2023-07-07T20:05:32.2494824Z - onnx_args: 2023-07-07T20:05:32.2495026Z - onnx_kwargs: 2023-07-07T20:05:32.2495556Z - diagnostic_context: 2023-07-07T20:05:32.2495828Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2496302Z [2023-07-07 20:03:23,138] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_71]. 2023-07-07T20:05:32.2496547Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2496556Z 2023-07-07T20:05:32.2496896Z [2023-07-07 20:03:23,138] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2497289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2497301Z 2023-07-07T20:05:32.2497620Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2498088Z - self: 2023-07-07T20:05:32.2498442Z - node: fx.Node(unsqueeze_71[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2498632Z - aten_name: 2023-07-07T20:05:32.2498896Z - function_overloads: 2023-07-07T20:05:32.2499081Z - onnx_args: 2023-07-07T20:05:32.2499280Z - onnx_kwargs: 2023-07-07T20:05:32.2499834Z - diagnostic_context: 2023-07-07T20:05:32.2500108Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2500534Z [2023-07-07 20:03:23,147] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_1]. 2023-07-07T20:05:32.2500759Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2500800Z 2023-07-07T20:05:32.2501140Z [2023-07-07 20:03:23,147] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2501528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2501537Z 2023-07-07T20:05:32.2501835Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2502302Z - self: 2023-07-07T20:05:32.2502604Z - node: fx.Node(cat_1[call_function]'aten.cat.default') 2023-07-07T20:05:32.2502802Z - aten_name: 2023-07-07T20:05:32.2503027Z - function_overloads: 2023-07-07T20:05:32.2503223Z - onnx_args: 2023-07-07T20:05:32.2503428Z - onnx_kwargs: 2023-07-07T20:05:32.2503960Z - diagnostic_context: 2023-07-07T20:05:32.2504193Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.2504646Z [2023-07-07 20:03:23,151] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:32.2504887Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2504898Z 2023-07-07T20:05:32.2505242Z [2023-07-07 20:03:23,151] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2505579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2505593Z 2023-07-07T20:05:32.2505906Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2506371Z - self: 2023-07-07T20:05:32.2506717Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:32.2506898Z - aten_name: 2023-07-07T20:05:32.2507127Z - function_overloads: 2023-07-07T20:05:32.2507321Z - onnx_args: 2023-07-07T20:05:32.2507524Z - onnx_kwargs: 2023-07-07T20:05:32.2508047Z - diagnostic_context: 2023-07-07T20:05:32.2508410Z - Return value: 2023-07-07T20:05:32.2508853Z [2023-07-07 20:03:23,153] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:32.2509088Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2509097Z 2023-07-07T20:05:32.2509425Z [2023-07-07 20:03:23,153] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2509773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2509781Z 2023-07-07T20:05:32.2510134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2510601Z - self: 2023-07-07T20:05:32.2510921Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:32.2511119Z - aten_name: 2023-07-07T20:05:32.2511343Z - function_overloads: 2023-07-07T20:05:32.2511539Z - onnx_args: 2023-07-07T20:05:32.2511727Z - onnx_kwargs: 2023-07-07T20:05:32.2512287Z - diagnostic_context: 2023-07-07T20:05:32.2512571Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.2513009Z [2023-07-07 20:03:23,157] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:32.2513245Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2513253Z 2023-07-07T20:05:32.2513596Z [2023-07-07 20:03:23,157] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2514006Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2514015Z 2023-07-07T20:05:32.2514327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2514858Z - self: 2023-07-07T20:05:32.2515162Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.2515365Z - aten_name: 2023-07-07T20:05:32.2515596Z - function_overloads: 2023-07-07T20:05:32.2515796Z - onnx_args: 2023-07-07T20:05:32.2515997Z - onnx_kwargs: 2023-07-07T20:05:32.2516529Z - diagnostic_context: 2023-07-07T20:05:32.2516780Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.2517238Z [2023-07-07 20:03:23,158] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T20:05:32.2517478Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2517488Z 2023-07-07T20:05:32.2517831Z [2023-07-07 20:03:23,159] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2518179Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2518188Z 2023-07-07T20:05:32.2518507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2518977Z - self: 2023-07-07T20:05:32.2519325Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T20:05:32.2519520Z - aten_name: 2023-07-07T20:05:32.2519748Z - function_overloads: 2023-07-07T20:05:32.2519935Z - onnx_args: 2023-07-07T20:05:32.2520134Z - onnx_kwargs: 2023-07-07T20:05:32.2520667Z - diagnostic_context: 2023-07-07T20:05:32.2520930Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.2521396Z [2023-07-07 20:03:23,160] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_5]. 2023-07-07T20:05:32.2521631Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2521639Z 2023-07-07T20:05:32.2521978Z [2023-07-07 20:03:23,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2522326Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2522335Z 2023-07-07T20:05:32.2522633Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2523138Z - self: 2023-07-07T20:05:32.2523484Z - node: fx.Node(getitem_5[call_function]'') 2023-07-07T20:05:32.2523677Z - aten_name: 2023-07-07T20:05:32.2523907Z - function_overloads: 2023-07-07T20:05:32.2524106Z - onnx_args: 2023-07-07T20:05:32.2524307Z - onnx_kwargs: 2023-07-07T20:05:32.2524937Z - diagnostic_context: 2023-07-07T20:05:32.2525189Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.2525794Z [2023-07-07 20:03:23,162] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:32.2526045Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2526053Z 2023-07-07T20:05:32.2526390Z [2023-07-07 20:03:23,162] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2526736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2526787Z 2023-07-07T20:05:32.2527101Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2527561Z - self: 2023-07-07T20:05:32.2527938Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2528133Z - aten_name: 2023-07-07T20:05:32.2528347Z - function_overloads: 2023-07-07T20:05:32.2528550Z - onnx_args: 2023-07-07T20:05:32.2528754Z - onnx_kwargs: 2023-07-07T20:05:32.2529288Z - diagnostic_context: 2023-07-07T20:05:32.2529656Z - Return value: 2023-07-07T20:05:32.2530213Z [2023-07-07 20:03:23,168] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_18]. 2023-07-07T20:05:32.2530485Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2530494Z 2023-07-07T20:05:32.2530828Z [2023-07-07 20:03:23,168] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2531165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2531173Z 2023-07-07T20:05:32.2531491Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2531959Z - self: 2023-07-07T20:05:32.2532382Z - node: fx.Node(convert_element_type_18[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2532575Z - aten_name: 2023-07-07T20:05:32.2532803Z - function_overloads: 2023-07-07T20:05:32.2533003Z - onnx_args: 2023-07-07T20:05:32.2533206Z - onnx_kwargs: 2023-07-07T20:05:32.2533726Z - diagnostic_context: 2023-07-07T20:05:32.2534042Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2534592Z [2023-07-07 20:03:23,170] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_19]. 2023-07-07T20:05:32.2534866Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2534874Z 2023-07-07T20:05:32.2535215Z [2023-07-07 20:03:23,170] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2535567Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2535576Z 2023-07-07T20:05:32.2535892Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2536409Z - self: 2023-07-07T20:05:32.2536834Z - node: fx.Node(convert_element_type_19[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2537017Z - aten_name: 2023-07-07T20:05:32.2537246Z - function_overloads: 2023-07-07T20:05:32.2537444Z - onnx_args: 2023-07-07T20:05:32.2537644Z - onnx_kwargs: 2023-07-07T20:05:32.2538169Z - diagnostic_context: 2023-07-07T20:05:32.2538523Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2539002Z [2023-07-07 20:03:23,176] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_9]. 2023-07-07T20:05:32.2539231Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2539256Z 2023-07-07T20:05:32.2539580Z [2023-07-07 20:03:23,176] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2539927Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2539972Z 2023-07-07T20:05:32.2540284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2540752Z - self: 2023-07-07T20:05:32.2541075Z - node: fx.Node(tensor_int_9[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2541268Z - aten_name: 2023-07-07T20:05:32.2541498Z - function_overloads: 2023-07-07T20:05:32.2541701Z - onnx_args: 2023-07-07T20:05:32.2541887Z - onnx_kwargs: 2023-07-07T20:05:32.2542419Z - diagnostic_context: 2023-07-07T20:05:32.2542695Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2543179Z [2023-07-07 20:03:23,183] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_72]. 2023-07-07T20:05:32.2543420Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2543431Z 2023-07-07T20:05:32.2543772Z [2023-07-07 20:03:23,183] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2544117Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2544126Z 2023-07-07T20:05:32.2544433Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2544880Z - self: 2023-07-07T20:05:32.2545237Z - node: fx.Node(unsqueeze_72[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2545429Z - aten_name: 2023-07-07T20:05:32.2545659Z - function_overloads: 2023-07-07T20:05:32.2545860Z - onnx_args: 2023-07-07T20:05:32.2546062Z - onnx_kwargs: 2023-07-07T20:05:32.2546592Z - diagnostic_context: 2023-07-07T20:05:32.2546865Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2547328Z [2023-07-07 20:03:23,184] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_73]. 2023-07-07T20:05:32.2547569Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2547577Z 2023-07-07T20:05:32.2547916Z [2023-07-07 20:03:23,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2548266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2548277Z 2023-07-07T20:05:32.2548593Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2549056Z - self: 2023-07-07T20:05:32.2549446Z - node: fx.Node(unsqueeze_73[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2549645Z - aten_name: 2023-07-07T20:05:32.2549861Z - function_overloads: 2023-07-07T20:05:32.2550059Z - onnx_args: 2023-07-07T20:05:32.2550257Z - onnx_kwargs: 2023-07-07T20:05:32.2550788Z - diagnostic_context: 2023-07-07T20:05:32.2551068Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2551544Z [2023-07-07 20:03:23,185] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_74]. 2023-07-07T20:05:32.2551858Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2551867Z 2023-07-07T20:05:32.2552205Z [2023-07-07 20:03:23,186] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2552533Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2552560Z 2023-07-07T20:05:32.2552859Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2553352Z - self: 2023-07-07T20:05:32.2553704Z - node: fx.Node(unsqueeze_74[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2553895Z - aten_name: 2023-07-07T20:05:32.2554122Z - function_overloads: 2023-07-07T20:05:32.2554321Z - onnx_args: 2023-07-07T20:05:32.2554525Z - onnx_kwargs: 2023-07-07T20:05:32.2555106Z - diagnostic_context: 2023-07-07T20:05:32.2555383Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2555864Z [2023-07-07 20:03:23,187] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_75]. 2023-07-07T20:05:32.2556109Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2556118Z 2023-07-07T20:05:32.2556456Z [2023-07-07 20:03:23,187] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2556809Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2556818Z 2023-07-07T20:05:32.2557134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2557595Z - self: 2023-07-07T20:05:32.2557951Z - node: fx.Node(unsqueeze_75[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2558129Z - aten_name: 2023-07-07T20:05:32.2558362Z - function_overloads: 2023-07-07T20:05:32.2558560Z - onnx_args: 2023-07-07T20:05:32.2558761Z - onnx_kwargs: 2023-07-07T20:05:32.2559291Z - diagnostic_context: 2023-07-07T20:05:32.2559568Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2560051Z [2023-07-07 20:03:23,193] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_76]. 2023-07-07T20:05:32.2560277Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2560299Z 2023-07-07T20:05:32.2560628Z [2023-07-07 20:03:23,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2560967Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2560978Z 2023-07-07T20:05:32.2561294Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2561762Z - self: 2023-07-07T20:05:32.2562111Z - node: fx.Node(unsqueeze_76[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2562304Z - aten_name: 2023-07-07T20:05:32.2562572Z - function_overloads: 2023-07-07T20:05:32.2562777Z - onnx_args: 2023-07-07T20:05:32.2562963Z - onnx_kwargs: 2023-07-07T20:05:32.2563487Z - diagnostic_context: 2023-07-07T20:05:32.2563754Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2564235Z [2023-07-07 20:03:23,194] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_77]. 2023-07-07T20:05:32.2564576Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2564651Z 2023-07-07T20:05:32.2565045Z [2023-07-07 20:03:23,194] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2565394Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2565404Z 2023-07-07T20:05:32.2565727Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2566194Z - self: 2023-07-07T20:05:32.2566574Z - node: fx.Node(unsqueeze_77[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2566766Z - aten_name: 2023-07-07T20:05:32.2566993Z - function_overloads: 2023-07-07T20:05:32.2567188Z - onnx_args: 2023-07-07T20:05:32.2567391Z - onnx_kwargs: 2023-07-07T20:05:32.2567924Z - diagnostic_context: 2023-07-07T20:05:32.2568199Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2568669Z [2023-07-07 20:03:23,198] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_78]. 2023-07-07T20:05:32.2568910Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2568919Z 2023-07-07T20:05:32.2569255Z [2023-07-07 20:03:23,198] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2569599Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2569611Z 2023-07-07T20:05:32.2569927Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2570384Z - self: 2023-07-07T20:05:32.2570741Z - node: fx.Node(unsqueeze_78[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2570939Z - aten_name: 2023-07-07T20:05:32.2571171Z - function_overloads: 2023-07-07T20:05:32.2571355Z - onnx_args: 2023-07-07T20:05:32.2571559Z - onnx_kwargs: 2023-07-07T20:05:32.2572095Z - diagnostic_context: 2023-07-07T20:05:32.2572367Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2572854Z [2023-07-07 20:03:23,199] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_79]. 2023-07-07T20:05:32.2573096Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2573105Z 2023-07-07T20:05:32.2573446Z [2023-07-07 20:03:23,199] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2573787Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2573796Z 2023-07-07T20:05:32.2574100Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2574570Z - self: 2023-07-07T20:05:32.2574919Z - node: fx.Node(unsqueeze_79[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2575116Z - aten_name: 2023-07-07T20:05:32.2575341Z - function_overloads: 2023-07-07T20:05:32.2575539Z - onnx_args: 2023-07-07T20:05:32.2575806Z - onnx_kwargs: 2023-07-07T20:05:32.2576321Z - diagnostic_context: 2023-07-07T20:05:32.2576591Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2577083Z [2023-07-07 20:03:23,209] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:32.2577331Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2577340Z 2023-07-07T20:05:32.2577677Z [2023-07-07 20:03:23,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2578082Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2578092Z 2023-07-07T20:05:32.2578403Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2578871Z - self: 2023-07-07T20:05:32.2579242Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2579456Z - aten_name: 2023-07-07T20:05:32.2579684Z - function_overloads: 2023-07-07T20:05:32.2579879Z - onnx_args: 2023-07-07T20:05:32.2580079Z - onnx_kwargs: 2023-07-07T20:05:32.2580609Z - diagnostic_context: 2023-07-07T20:05:32.2580982Z - Return value: 2023-07-07T20:05:32.2581533Z [2023-07-07 20:03:23,213] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_20]. 2023-07-07T20:05:32.2581804Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2581813Z 2023-07-07T20:05:32.2582138Z [2023-07-07 20:03:23,213] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2582480Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2582491Z 2023-07-07T20:05:32.2582799Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2583264Z - self: 2023-07-07T20:05:32.2583690Z - node: fx.Node(convert_element_type_20[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2583884Z - aten_name: 2023-07-07T20:05:32.2584118Z - function_overloads: 2023-07-07T20:05:32.2584313Z - onnx_args: 2023-07-07T20:05:32.2584500Z - onnx_kwargs: 2023-07-07T20:05:32.2585029Z - diagnostic_context: 2023-07-07T20:05:32.2585348Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2585903Z [2023-07-07 20:03:23,215] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_21]. 2023-07-07T20:05:32.2586178Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2586187Z 2023-07-07T20:05:32.2586524Z [2023-07-07 20:03:23,215] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2586865Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2586874Z 2023-07-07T20:05:32.2587184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2587658Z - self: 2023-07-07T20:05:32.2588076Z - node: fx.Node(convert_element_type_21[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2588255Z - aten_name: 2023-07-07T20:05:32.2588484Z - function_overloads: 2023-07-07T20:05:32.2588716Z - onnx_args: 2023-07-07T20:05:32.2588919Z - onnx_kwargs: 2023-07-07T20:05:32.2589448Z - diagnostic_context: 2023-07-07T20:05:32.2589768Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2590215Z [2023-07-07 20:03:23,221] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_10]. 2023-07-07T20:05:32.2590440Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2590449Z 2023-07-07T20:05:32.2590826Z [2023-07-07 20:03:23,221] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2591197Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2591207Z 2023-07-07T20:05:32.2591521Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2591991Z - self: 2023-07-07T20:05:32.2592347Z - node: fx.Node(tensor_int_10[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2592541Z - aten_name: 2023-07-07T20:05:32.2592774Z - function_overloads: 2023-07-07T20:05:32.2592957Z - onnx_args: 2023-07-07T20:05:32.2593159Z - onnx_kwargs: 2023-07-07T20:05:32.2593691Z - diagnostic_context: 2023-07-07T20:05:32.2593965Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2594445Z [2023-07-07 20:03:23,228] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_80]. 2023-07-07T20:05:32.2594759Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2594768Z 2023-07-07T20:05:32.2595112Z [2023-07-07 20:03:23,228] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2595455Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2595468Z 2023-07-07T20:05:32.2595780Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2596231Z - self: 2023-07-07T20:05:32.2596586Z - node: fx.Node(unsqueeze_80[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2596780Z - aten_name: 2023-07-07T20:05:32.2597009Z - function_overloads: 2023-07-07T20:05:32.2597213Z - onnx_args: 2023-07-07T20:05:32.2597415Z - onnx_kwargs: 2023-07-07T20:05:32.2597941Z - diagnostic_context: 2023-07-07T20:05:32.2598196Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2598686Z [2023-07-07 20:03:23,229] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_81]. 2023-07-07T20:05:32.2598929Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2598940Z 2023-07-07T20:05:32.2599277Z [2023-07-07 20:03:23,229] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2599626Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2599635Z 2023-07-07T20:05:32.2599949Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2600410Z - self: 2023-07-07T20:05:32.2600768Z - node: fx.Node(unsqueeze_81[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2600962Z - aten_name: 2023-07-07T20:05:32.2601173Z - function_overloads: 2023-07-07T20:05:32.2601375Z - onnx_args: 2023-07-07T20:05:32.2601574Z - onnx_kwargs: 2023-07-07T20:05:32.2602147Z - diagnostic_context: 2023-07-07T20:05:32.2602426Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2602901Z [2023-07-07 20:03:23,231] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_82]. 2023-07-07T20:05:32.2603142Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2603151Z 2023-07-07T20:05:32.2603495Z [2023-07-07 20:03:23,231] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2603867Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2603893Z 2023-07-07T20:05:32.2604224Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2604847Z - self: 2023-07-07T20:05:32.2605211Z - node: fx.Node(unsqueeze_82[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2605409Z - aten_name: 2023-07-07T20:05:32.2605697Z - function_overloads: 2023-07-07T20:05:32.2605894Z - onnx_args: 2023-07-07T20:05:32.2606100Z - onnx_kwargs: 2023-07-07T20:05:32.2606618Z - diagnostic_context: 2023-07-07T20:05:32.2606890Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2607373Z [2023-07-07 20:03:23,232] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_83]. 2023-07-07T20:05:32.2607619Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2607630Z 2023-07-07T20:05:32.2607966Z [2023-07-07 20:03:23,232] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2608315Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2608324Z 2023-07-07T20:05:32.2608643Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2609110Z - self: 2023-07-07T20:05:32.2609468Z - node: fx.Node(unsqueeze_83[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2609649Z - aten_name: 2023-07-07T20:05:32.2609873Z - function_overloads: 2023-07-07T20:05:32.2610071Z - onnx_args: 2023-07-07T20:05:32.2610274Z - onnx_kwargs: 2023-07-07T20:05:32.2610810Z - diagnostic_context: 2023-07-07T20:05:32.2611084Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2611558Z [2023-07-07 20:03:23,238] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_84]. 2023-07-07T20:05:32.2611784Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2611812Z 2023-07-07T20:05:32.2612137Z [2023-07-07 20:03:23,238] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2612481Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2612490Z 2023-07-07T20:05:32.2612797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2613265Z - self: 2023-07-07T20:05:32.2613620Z - node: fx.Node(unsqueeze_84[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2613812Z - aten_name: 2023-07-07T20:05:32.2614042Z - function_overloads: 2023-07-07T20:05:32.2614241Z - onnx_args: 2023-07-07T20:05:32.2614429Z - onnx_kwargs: 2023-07-07T20:05:32.2614952Z - diagnostic_context: 2023-07-07T20:05:32.2615276Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2615757Z [2023-07-07 20:03:23,239] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_85]. 2023-07-07T20:05:32.2615998Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2616007Z 2023-07-07T20:05:32.2616347Z [2023-07-07 20:03:23,240] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2616693Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2616744Z 2023-07-07T20:05:32.2617053Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2617596Z - self: 2023-07-07T20:05:32.2617950Z - node: fx.Node(unsqueeze_85[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2618146Z - aten_name: 2023-07-07T20:05:32.2618375Z - function_overloads: 2023-07-07T20:05:32.2618571Z - onnx_args: 2023-07-07T20:05:32.2618808Z - onnx_kwargs: 2023-07-07T20:05:32.2619339Z - diagnostic_context: 2023-07-07T20:05:32.2619609Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2620073Z [2023-07-07 20:03:23,243] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_86]. 2023-07-07T20:05:32.2620314Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2620326Z 2023-07-07T20:05:32.2620660Z [2023-07-07 20:03:23,243] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2621005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2621013Z 2023-07-07T20:05:32.2621329Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2621794Z - self: 2023-07-07T20:05:32.2622147Z - node: fx.Node(unsqueeze_86[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2622343Z - aten_name: 2023-07-07T20:05:32.2622559Z - function_overloads: 2023-07-07T20:05:32.2622760Z - onnx_args: 2023-07-07T20:05:32.2622958Z - onnx_kwargs: 2023-07-07T20:05:32.2623486Z - diagnostic_context: 2023-07-07T20:05:32.2623759Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2624240Z [2023-07-07 20:03:23,245] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_87]. 2023-07-07T20:05:32.2624478Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2624489Z 2023-07-07T20:05:32.2624827Z [2023-07-07 20:03:23,245] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2625165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2625195Z 2023-07-07T20:05:32.2625492Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2625959Z - self: 2023-07-07T20:05:32.2626320Z - node: fx.Node(unsqueeze_87[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2626514Z - aten_name: 2023-07-07T20:05:32.2626746Z - function_overloads: 2023-07-07T20:05:32.2626943Z - onnx_args: 2023-07-07T20:05:32.2627145Z - onnx_kwargs: 2023-07-07T20:05:32.2627665Z - diagnostic_context: 2023-07-07T20:05:32.2627933Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2628465Z [2023-07-07 20:03:23,249] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:32.2628717Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2628726Z 2023-07-07T20:05:32.2629070Z [2023-07-07 20:03:23,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2629414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2629423Z 2023-07-07T20:05:32.2629735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2630233Z - self: 2023-07-07T20:05:32.2630640Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2630825Z - aten_name: 2023-07-07T20:05:32.2631049Z - function_overloads: 2023-07-07T20:05:32.2631250Z - onnx_args: 2023-07-07T20:05:32.2631453Z - onnx_kwargs: 2023-07-07T20:05:32.2631985Z - diagnostic_context: 2023-07-07T20:05:32.2632377Z - Return value: 2023-07-07T20:05:32.2632922Z [2023-07-07 20:03:23,254] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_22]. 2023-07-07T20:05:32.2633192Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2633201Z 2023-07-07T20:05:32.2633534Z [2023-07-07 20:03:23,254] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2633883Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2633892Z 2023-07-07T20:05:32.2634203Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2634729Z - self: 2023-07-07T20:05:32.2635163Z - node: fx.Node(convert_element_type_22[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2635362Z - aten_name: 2023-07-07T20:05:32.2635591Z - function_overloads: 2023-07-07T20:05:32.2635793Z - onnx_args: 2023-07-07T20:05:32.2635984Z - onnx_kwargs: 2023-07-07T20:05:32.2636509Z - diagnostic_context: 2023-07-07T20:05:32.2636834Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2637374Z [2023-07-07 20:03:23,256] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_23]. 2023-07-07T20:05:32.2637645Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2637654Z 2023-07-07T20:05:32.2638001Z [2023-07-07 20:03:23,256] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2638345Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2638357Z 2023-07-07T20:05:32.2638669Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2639132Z - self: 2023-07-07T20:05:32.2639541Z - node: fx.Node(convert_element_type_23[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2639741Z - aten_name: 2023-07-07T20:05:32.2639971Z - function_overloads: 2023-07-07T20:05:32.2640171Z - onnx_args: 2023-07-07T20:05:32.2640376Z - onnx_kwargs: 2023-07-07T20:05:32.2640909Z - diagnostic_context: 2023-07-07T20:05:32.2641226Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2641723Z [2023-07-07 20:03:23,262] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_11]. 2023-07-07T20:05:32.2641955Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2641965Z 2023-07-07T20:05:32.2642305Z [2023-07-07 20:03:23,262] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2642650Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2642658Z 2023-07-07T20:05:32.2642970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2643506Z - self: 2023-07-07T20:05:32.2643829Z - node: fx.Node(tensor_int_11[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2644022Z - aten_name: 2023-07-07T20:05:32.2644253Z - function_overloads: 2023-07-07T20:05:32.2644532Z - onnx_args: 2023-07-07T20:05:32.2644740Z - onnx_kwargs: 2023-07-07T20:05:32.2645327Z - diagnostic_context: 2023-07-07T20:05:32.2645600Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2646075Z [2023-07-07 20:03:23,269] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_88]. 2023-07-07T20:05:32.2646318Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2646326Z 2023-07-07T20:05:32.2646668Z [2023-07-07 20:03:23,269] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2647017Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2647027Z 2023-07-07T20:05:32.2647342Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2647796Z - self: 2023-07-07T20:05:32.2648155Z - node: fx.Node(unsqueeze_88[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2648352Z - aten_name: 2023-07-07T20:05:32.2648578Z - function_overloads: 2023-07-07T20:05:32.2648774Z - onnx_args: 2023-07-07T20:05:32.2648975Z - onnx_kwargs: 2023-07-07T20:05:32.2649500Z - diagnostic_context: 2023-07-07T20:05:32.2649753Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2650237Z [2023-07-07 20:03:23,270] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_89]. 2023-07-07T20:05:32.2650482Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2650490Z 2023-07-07T20:05:32.2650827Z [2023-07-07 20:03:23,270] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2651175Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2651189Z 2023-07-07T20:05:32.2651500Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2651966Z - self: 2023-07-07T20:05:32.2652322Z - node: fx.Node(unsqueeze_89[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2652513Z - aten_name: 2023-07-07T20:05:32.2652724Z - function_overloads: 2023-07-07T20:05:32.2652927Z - onnx_args: 2023-07-07T20:05:32.2653123Z - onnx_kwargs: 2023-07-07T20:05:32.2653649Z - diagnostic_context: 2023-07-07T20:05:32.2653919Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2654396Z [2023-07-07 20:03:23,272] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_90]. 2023-07-07T20:05:32.2654688Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2654700Z 2023-07-07T20:05:32.2655038Z [2023-07-07 20:03:23,272] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2655372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2655380Z 2023-07-07T20:05:32.2655695Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2656155Z - self: 2023-07-07T20:05:32.2656589Z - node: fx.Node(unsqueeze_90[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2656782Z - aten_name: 2023-07-07T20:05:32.2657014Z - function_overloads: 2023-07-07T20:05:32.2657214Z - onnx_args: 2023-07-07T20:05:32.2657418Z - onnx_kwargs: 2023-07-07T20:05:32.2657931Z - diagnostic_context: 2023-07-07T20:05:32.2658237Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2658719Z [2023-07-07 20:03:23,273] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_91]. 2023-07-07T20:05:32.2658957Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2658966Z 2023-07-07T20:05:32.2659304Z [2023-07-07 20:03:23,273] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2659648Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2659660Z 2023-07-07T20:05:32.2659975Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2660445Z - self: 2023-07-07T20:05:32.2660802Z - node: fx.Node(unsqueeze_91[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2660978Z - aten_name: 2023-07-07T20:05:32.2661207Z - function_overloads: 2023-07-07T20:05:32.2661404Z - onnx_args: 2023-07-07T20:05:32.2661607Z - onnx_kwargs: 2023-07-07T20:05:32.2662136Z - diagnostic_context: 2023-07-07T20:05:32.2662406Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2662879Z [2023-07-07 20:03:23,279] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_92]. 2023-07-07T20:05:32.2663109Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2663118Z 2023-07-07T20:05:32.2663460Z [2023-07-07 20:03:23,279] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2663802Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2663811Z 2023-07-07T20:05:32.2664126Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2664586Z - self: 2023-07-07T20:05:32.2664938Z - node: fx.Node(unsqueeze_92[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2665129Z - aten_name: 2023-07-07T20:05:32.2665359Z - function_overloads: 2023-07-07T20:05:32.2665543Z - onnx_args: 2023-07-07T20:05:32.2665741Z - onnx_kwargs: 2023-07-07T20:05:32.2666271Z - diagnostic_context: 2023-07-07T20:05:32.2666544Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2667020Z [2023-07-07 20:03:23,281] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_93]. 2023-07-07T20:05:32.2667263Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2667272Z 2023-07-07T20:05:32.2667670Z [2023-07-07 20:03:23,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2668024Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2668033Z 2023-07-07T20:05:32.2668349Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2668801Z - self: 2023-07-07T20:05:32.2669157Z - node: fx.Node(unsqueeze_93[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2669390Z - aten_name: 2023-07-07T20:05:32.2669647Z - function_overloads: 2023-07-07T20:05:32.2669844Z - onnx_args: 2023-07-07T20:05:32.2670044Z - onnx_kwargs: 2023-07-07T20:05:32.2670563Z - diagnostic_context: 2023-07-07T20:05:32.2670822Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2671298Z [2023-07-07 20:03:23,284] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_94]. 2023-07-07T20:05:32.2671571Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2671580Z 2023-07-07T20:05:32.2671921Z [2023-07-07 20:03:23,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2672262Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2672273Z 2023-07-07T20:05:32.2672585Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2673046Z - self: 2023-07-07T20:05:32.2673398Z - node: fx.Node(unsqueeze_94[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2673592Z - aten_name: 2023-07-07T20:05:32.2673808Z - function_overloads: 2023-07-07T20:05:32.2674007Z - onnx_args: 2023-07-07T20:05:32.2674211Z - onnx_kwargs: 2023-07-07T20:05:32.2674816Z - diagnostic_context: 2023-07-07T20:05:32.2675092Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2675571Z [2023-07-07 20:03:23,286] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_95]. 2023-07-07T20:05:32.2675813Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2675825Z 2023-07-07T20:05:32.2676168Z [2023-07-07 20:03:23,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2676504Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2676527Z 2023-07-07T20:05:32.2676828Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2677301Z - self: 2023-07-07T20:05:32.2677658Z - node: fx.Node(unsqueeze_95[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2677853Z - aten_name: 2023-07-07T20:05:32.2678079Z - function_overloads: 2023-07-07T20:05:32.2678280Z - onnx_args: 2023-07-07T20:05:32.2678480Z - onnx_kwargs: 2023-07-07T20:05:32.2678998Z - diagnostic_context: 2023-07-07T20:05:32.2679270Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2679703Z [2023-07-07 20:03:23,294] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_2]. 2023-07-07T20:05:32.2679929Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2679938Z 2023-07-07T20:05:32.2680274Z [2023-07-07 20:03:23,294] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2680658Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2680670Z 2023-07-07T20:05:32.2680981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2681448Z - self: 2023-07-07T20:05:32.2681749Z - node: fx.Node(cat_2[call_function]'aten.cat.default') 2023-07-07T20:05:32.2681930Z - aten_name: 2023-07-07T20:05:32.2682158Z - function_overloads: 2023-07-07T20:05:32.2682393Z - onnx_args: 2023-07-07T20:05:32.2682595Z - onnx_kwargs: 2023-07-07T20:05:32.2683149Z - diagnostic_context: 2023-07-07T20:05:32.2683399Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.2683859Z [2023-07-07 20:03:23,299] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_2]. 2023-07-07T20:05:32.2684089Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2684147Z 2023-07-07T20:05:32.2684574Z [2023-07-07 20:03:23,299] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2684924Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2684933Z 2023-07-07T20:05:32.2685247Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2685717Z - self: 2023-07-07T20:05:32.2686059Z - node: fx.Node(transpose_2[call_function]'aten.transpose.int') 2023-07-07T20:05:32.2686254Z - aten_name: 2023-07-07T20:05:32.2686486Z - function_overloads: 2023-07-07T20:05:32.2686684Z - onnx_args: 2023-07-07T20:05:32.2686874Z - onnx_kwargs: 2023-07-07T20:05:32.2687406Z - diagnostic_context: 2023-07-07T20:05:32.2687772Z - Return value: 2023-07-07T20:05:32.2688219Z [2023-07-07 20:03:23,300] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_2]. 2023-07-07T20:05:32.2688446Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2688456Z 2023-07-07T20:05:32.2688794Z [2023-07-07 20:03:23,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2689143Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2689155Z 2023-07-07T20:05:32.2689472Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2689923Z - self: 2023-07-07T20:05:32.2690242Z - node: fx.Node(clone_2[call_function]'aten.clone.default') 2023-07-07T20:05:32.2690433Z - aten_name: 2023-07-07T20:05:32.2690657Z - function_overloads: 2023-07-07T20:05:32.2690856Z - onnx_args: 2023-07-07T20:05:32.2691059Z - onnx_kwargs: 2023-07-07T20:05:32.2691585Z - diagnostic_context: 2023-07-07T20:05:32.2691839Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.2692272Z [2023-07-07 20:03:23,304] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_2]. 2023-07-07T20:05:32.2692501Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2692509Z 2023-07-07T20:05:32.2692850Z [2023-07-07 20:03:23,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2693199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2693208Z 2023-07-07T20:05:32.2693586Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2694052Z - self: 2023-07-07T20:05:32.2694366Z - node: fx.Node(split_2[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.2694563Z - aten_name: 2023-07-07T20:05:32.2694780Z - function_overloads: 2023-07-07T20:05:32.2694976Z - onnx_args: 2023-07-07T20:05:32.2695178Z - onnx_kwargs: 2023-07-07T20:05:32.2695706Z - diagnostic_context: 2023-07-07T20:05:32.2696003Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.2696515Z [2023-07-07 20:03:23,306] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_6]. 2023-07-07T20:05:32.2696753Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2696762Z 2023-07-07T20:05:32.2697103Z [2023-07-07 20:03:23,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2697472Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2697497Z 2023-07-07T20:05:32.2697791Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2698253Z - self: 2023-07-07T20:05:32.2698600Z - node: fx.Node(getitem_6[call_function]'') 2023-07-07T20:05:32.2698800Z - aten_name: 2023-07-07T20:05:32.2699027Z - function_overloads: 2023-07-07T20:05:32.2699229Z - onnx_args: 2023-07-07T20:05:32.2699429Z - onnx_kwargs: 2023-07-07T20:05:32.2699893Z - diagnostic_context: 2023-07-07T20:05:32.2700083Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.2700355Z [2023-07-07 20:03:23,307] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_7]. 2023-07-07T20:05:32.2700496Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2700504Z 2023-07-07T20:05:32.2700699Z [2023-07-07 20:03:23,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2700898Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2700904Z 2023-07-07T20:05:32.2701087Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2701354Z - self: 2023-07-07T20:05:32.2701555Z - node: fx.Node(getitem_7[call_function]'') 2023-07-07T20:05:32.2701656Z - aten_name: 2023-07-07T20:05:32.2701786Z - function_overloads: 2023-07-07T20:05:32.2701902Z - onnx_args: 2023-07-07T20:05:32.2702017Z - onnx_kwargs: 2023-07-07T20:05:32.2702320Z - diagnostic_context: 2023-07-07T20:05:32.2702470Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.2702757Z [2023-07-07 20:03:23,310] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:32.2702888Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2702910Z 2023-07-07T20:05:32.2703092Z [2023-07-07 20:03:23,310] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2703293Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2703298Z 2023-07-07T20:05:32.2703479Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2703775Z - self: 2023-07-07T20:05:32.2703996Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2704108Z - aten_name: 2023-07-07T20:05:32.2704238Z - function_overloads: 2023-07-07T20:05:32.2704351Z - onnx_args: 2023-07-07T20:05:32.2704455Z - onnx_kwargs: 2023-07-07T20:05:32.2704755Z - diagnostic_context: 2023-07-07T20:05:32.2704964Z - Return value: 2023-07-07T20:05:32.2705336Z [2023-07-07 20:03:23,313] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_24]. 2023-07-07T20:05:32.2705497Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2705503Z 2023-07-07T20:05:32.2705700Z [2023-07-07 20:03:23,313] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2705899Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2705931Z 2023-07-07T20:05:32.2706115Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2706382Z - self: 2023-07-07T20:05:32.2706610Z - node: fx.Node(convert_element_type_24[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2706726Z - aten_name: 2023-07-07T20:05:32.2706856Z - function_overloads: 2023-07-07T20:05:32.2706969Z - onnx_args: 2023-07-07T20:05:32.2707087Z - onnx_kwargs: 2023-07-07T20:05:32.2707392Z - diagnostic_context: 2023-07-07T20:05:32.2707573Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2707873Z [2023-07-07 20:03:23,314] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_25]. 2023-07-07T20:05:32.2708032Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2708038Z 2023-07-07T20:05:32.2708231Z [2023-07-07 20:03:23,314] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2708429Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2708434Z 2023-07-07T20:05:32.2708616Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2708883Z - self: 2023-07-07T20:05:32.2709123Z - node: fx.Node(convert_element_type_25[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2709234Z - aten_name: 2023-07-07T20:05:32.2709366Z - function_overloads: 2023-07-07T20:05:32.2709467Z - onnx_args: 2023-07-07T20:05:32.2709584Z - onnx_kwargs: 2023-07-07T20:05:32.2709888Z - diagnostic_context: 2023-07-07T20:05:32.2710066Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2710323Z [2023-07-07 20:03:23,319] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_12]. 2023-07-07T20:05:32.2710463Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2710471Z 2023-07-07T20:05:32.2710664Z [2023-07-07 20:03:23,319] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2710867Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2710873Z 2023-07-07T20:05:32.2711055Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2711340Z - self: 2023-07-07T20:05:32.2711530Z - node: fx.Node(tensor_int_12[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2711642Z - aten_name: 2023-07-07T20:05:32.2711773Z - function_overloads: 2023-07-07T20:05:32.2711887Z - onnx_args: 2023-07-07T20:05:32.2712002Z - onnx_kwargs: 2023-07-07T20:05:32.2712305Z - diagnostic_context: 2023-07-07T20:05:32.2712499Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2712802Z [2023-07-07 20:03:23,324] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_96]. 2023-07-07T20:05:32.2712945Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2712950Z 2023-07-07T20:05:32.2713147Z [2023-07-07 20:03:23,324] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2713350Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2713382Z 2023-07-07T20:05:32.2713568Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2713834Z - self: 2023-07-07T20:05:32.2714039Z - node: fx.Node(unsqueeze_96[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2714151Z - aten_name: 2023-07-07T20:05:32.2714273Z - function_overloads: 2023-07-07T20:05:32.2714388Z - onnx_args: 2023-07-07T20:05:32.2714506Z - onnx_kwargs: 2023-07-07T20:05:32.2714921Z - diagnostic_context: 2023-07-07T20:05:32.2715084Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2715364Z [2023-07-07 20:03:23,325] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_97]. 2023-07-07T20:05:32.2715507Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2715513Z 2023-07-07T20:05:32.2715695Z [2023-07-07 20:03:23,325] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2715896Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2715902Z 2023-07-07T20:05:32.2716085Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2716352Z - self: 2023-07-07T20:05:32.2716559Z - node: fx.Node(unsqueeze_97[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2716674Z - aten_name: 2023-07-07T20:05:32.2716807Z - function_overloads: 2023-07-07T20:05:32.2716921Z - onnx_args: 2023-07-07T20:05:32.2717027Z - onnx_kwargs: 2023-07-07T20:05:32.2717332Z - diagnostic_context: 2023-07-07T20:05:32.2717491Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2717769Z [2023-07-07 20:03:23,326] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_98]. 2023-07-07T20:05:32.2717912Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2717917Z 2023-07-07T20:05:32.2718114Z [2023-07-07 20:03:23,326] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2718321Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2718327Z 2023-07-07T20:05:32.2718510Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2718776Z - self: 2023-07-07T20:05:32.2719093Z - node: fx.Node(unsqueeze_98[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2719275Z - aten_name: 2023-07-07T20:05:32.2719410Z - function_overloads: 2023-07-07T20:05:32.2719527Z - onnx_args: 2023-07-07T20:05:32.2719644Z - onnx_kwargs: 2023-07-07T20:05:32.2719946Z - diagnostic_context: 2023-07-07T20:05:32.2720101Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2720378Z [2023-07-07 20:03:23,327] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_99]. 2023-07-07T20:05:32.2720569Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2720576Z 2023-07-07T20:05:32.2720773Z [2023-07-07 20:03:23,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2720976Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2720982Z 2023-07-07T20:05:32.2721164Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2721459Z - self: 2023-07-07T20:05:32.2721665Z - node: fx.Node(unsqueeze_99[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2721780Z - aten_name: 2023-07-07T20:05:32.2721911Z - function_overloads: 2023-07-07T20:05:32.2722014Z - onnx_args: 2023-07-07T20:05:32.2722134Z - onnx_kwargs: 2023-07-07T20:05:32.2722439Z - diagnostic_context: 2023-07-07T20:05:32.2722596Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2722874Z [2023-07-07 20:03:23,331] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_100]. 2023-07-07T20:05:32.2723021Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2723027Z 2023-07-07T20:05:32.2723225Z [2023-07-07 20:03:23,332] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2723428Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2723434Z 2023-07-07T20:05:32.2723617Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2723871Z - self: 2023-07-07T20:05:32.2724079Z - node: fx.Node(unsqueeze_100[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2724195Z - aten_name: 2023-07-07T20:05:32.2724327Z - function_overloads: 2023-07-07T20:05:32.2724534Z - onnx_args: 2023-07-07T20:05:32.2724653Z - onnx_kwargs: 2023-07-07T20:05:32.2724960Z - diagnostic_context: 2023-07-07T20:05:32.2725102Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2725381Z [2023-07-07 20:03:23,333] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_101]. 2023-07-07T20:05:32.2725521Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2725527Z 2023-07-07T20:05:32.2725724Z [2023-07-07 20:03:23,333] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2725923Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2725931Z 2023-07-07T20:05:32.2726115Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2726384Z - self: 2023-07-07T20:05:32.2726591Z - node: fx.Node(unsqueeze_101[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2726757Z - aten_name: 2023-07-07T20:05:32.2726878Z - function_overloads: 2023-07-07T20:05:32.2726997Z - onnx_args: 2023-07-07T20:05:32.2727113Z - onnx_kwargs: 2023-07-07T20:05:32.2727416Z - diagnostic_context: 2023-07-07T20:05:32.2727572Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2727849Z [2023-07-07 20:03:23,335] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_102]. 2023-07-07T20:05:32.2728028Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2728034Z 2023-07-07T20:05:32.2728267Z [2023-07-07 20:03:23,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2728458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2728464Z 2023-07-07T20:05:32.2728651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2728917Z - self: 2023-07-07T20:05:32.2729161Z - node: fx.Node(unsqueeze_102[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2729274Z - aten_name: 2023-07-07T20:05:32.2729405Z - function_overloads: 2023-07-07T20:05:32.2729520Z - onnx_args: 2023-07-07T20:05:32.2729636Z - onnx_kwargs: 2023-07-07T20:05:32.2729969Z - diagnostic_context: 2023-07-07T20:05:32.2730214Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2730598Z [2023-07-07 20:03:23,336] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_103]. 2023-07-07T20:05:32.2730741Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2730748Z 2023-07-07T20:05:32.2730947Z [2023-07-07 20:03:23,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2731147Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2731154Z 2023-07-07T20:05:32.2731335Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2731603Z - self: 2023-07-07T20:05:32.2731809Z - node: fx.Node(unsqueeze_103[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2731912Z - aten_name: 2023-07-07T20:05:32.2732043Z - function_overloads: 2023-07-07T20:05:32.2732159Z - onnx_args: 2023-07-07T20:05:32.2732275Z - onnx_kwargs: 2023-07-07T20:05:32.2732577Z - diagnostic_context: 2023-07-07T20:05:32.2732735Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2733020Z [2023-07-07 20:03:23,343] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:32.2733155Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2733173Z 2023-07-07T20:05:32.2733356Z [2023-07-07 20:03:23,343] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2733554Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2733560Z 2023-07-07T20:05:32.2733742Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2734011Z - self: 2023-07-07T20:05:32.2734225Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2734339Z - aten_name: 2023-07-07T20:05:32.2734469Z - function_overloads: 2023-07-07T20:05:32.2734636Z - onnx_args: 2023-07-07T20:05:32.2734741Z - onnx_kwargs: 2023-07-07T20:05:32.2735047Z - diagnostic_context: 2023-07-07T20:05:32.2735259Z - Return value: 2023-07-07T20:05:32.2735568Z [2023-07-07 20:03:23,346] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_26]. 2023-07-07T20:05:32.2735728Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2735765Z 2023-07-07T20:05:32.2735960Z [2023-07-07 20:03:23,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2736187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2736193Z 2023-07-07T20:05:32.2736377Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2736632Z - self: 2023-07-07T20:05:32.2736903Z - node: fx.Node(convert_element_type_26[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2737016Z - aten_name: 2023-07-07T20:05:32.2737148Z - function_overloads: 2023-07-07T20:05:32.2737263Z - onnx_args: 2023-07-07T20:05:32.2737379Z - onnx_kwargs: 2023-07-07T20:05:32.2737683Z - diagnostic_context: 2023-07-07T20:05:32.2737869Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2738166Z [2023-07-07 20:03:23,347] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_27]. 2023-07-07T20:05:32.2738323Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2738329Z 2023-07-07T20:05:32.2738523Z [2023-07-07 20:03:23,347] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2738722Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2738728Z 2023-07-07T20:05:32.2738908Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2739173Z - self: 2023-07-07T20:05:32.2739414Z - node: fx.Node(convert_element_type_27[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2739528Z - aten_name: 2023-07-07T20:05:32.2739659Z - function_overloads: 2023-07-07T20:05:32.2739764Z - onnx_args: 2023-07-07T20:05:32.2739880Z - onnx_kwargs: 2023-07-07T20:05:32.2740183Z - diagnostic_context: 2023-07-07T20:05:32.2740366Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2740622Z [2023-07-07 20:03:23,352] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_13]. 2023-07-07T20:05:32.2740765Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2740771Z 2023-07-07T20:05:32.2740966Z [2023-07-07 20:03:23,352] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2741165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2741173Z 2023-07-07T20:05:32.2741341Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2741610Z - self: 2023-07-07T20:05:32.2741796Z - node: fx.Node(tensor_int_13[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2741909Z - aten_name: 2023-07-07T20:05:32.2742041Z - function_overloads: 2023-07-07T20:05:32.2742183Z - onnx_args: 2023-07-07T20:05:32.2742304Z - onnx_kwargs: 2023-07-07T20:05:32.2742605Z - diagnostic_context: 2023-07-07T20:05:32.2742752Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2743027Z [2023-07-07 20:03:23,357] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_104]. 2023-07-07T20:05:32.2743167Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2743201Z 2023-07-07T20:05:32.2743398Z [2023-07-07 20:03:23,357] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2743621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2743627Z 2023-07-07T20:05:32.2743809Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2744078Z - self: 2023-07-07T20:05:32.2744315Z - node: fx.Node(unsqueeze_104[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2744428Z - aten_name: 2023-07-07T20:05:32.2744547Z - function_overloads: 2023-07-07T20:05:32.2744660Z - onnx_args: 2023-07-07T20:05:32.2744776Z - onnx_kwargs: 2023-07-07T20:05:32.2745079Z - diagnostic_context: 2023-07-07T20:05:32.2745237Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2745518Z [2023-07-07 20:03:23,358] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_105]. 2023-07-07T20:05:32.2745661Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2745666Z 2023-07-07T20:05:32.2745850Z [2023-07-07 20:03:23,358] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2746055Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2746063Z 2023-07-07T20:05:32.2746245Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2746509Z - self: 2023-07-07T20:05:32.2746714Z - node: fx.Node(unsqueeze_105[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2746829Z - aten_name: 2023-07-07T20:05:32.2746963Z - function_overloads: 2023-07-07T20:05:32.2747077Z - onnx_args: 2023-07-07T20:05:32.2747181Z - onnx_kwargs: 2023-07-07T20:05:32.2747487Z - diagnostic_context: 2023-07-07T20:05:32.2747643Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2747921Z [2023-07-07 20:03:23,359] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_106]. 2023-07-07T20:05:32.2748062Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2748070Z 2023-07-07T20:05:32.2748265Z [2023-07-07 20:03:23,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2748464Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2748470Z 2023-07-07T20:05:32.2748649Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2748919Z - self: 2023-07-07T20:05:32.2749112Z - node: fx.Node(unsqueeze_106[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2749227Z - aten_name: 2023-07-07T20:05:32.2749358Z - function_overloads: 2023-07-07T20:05:32.2749473Z - onnx_args: 2023-07-07T20:05:32.2749589Z - onnx_kwargs: 2023-07-07T20:05:32.2749925Z - diagnostic_context: 2023-07-07T20:05:32.2750088Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2750351Z [2023-07-07 20:03:23,360] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_107]. 2023-07-07T20:05:32.2750492Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2750497Z 2023-07-07T20:05:32.2750691Z [2023-07-07 20:03:23,360] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2750922Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2750952Z 2023-07-07T20:05:32.2751139Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2751404Z - self: 2023-07-07T20:05:32.2751611Z - node: fx.Node(unsqueeze_107[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2751760Z - aten_name: 2023-07-07T20:05:32.2751890Z - function_overloads: 2023-07-07T20:05:32.2751992Z - onnx_args: 2023-07-07T20:05:32.2752107Z - onnx_kwargs: 2023-07-07T20:05:32.2752406Z - diagnostic_context: 2023-07-07T20:05:32.2752562Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2752840Z [2023-07-07 20:03:23,364] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_108]. 2023-07-07T20:05:32.2752984Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2752990Z 2023-07-07T20:05:32.2753186Z [2023-07-07 20:03:23,364] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2753389Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2753397Z 2023-07-07T20:05:32.2753580Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2753834Z - self: 2023-07-07T20:05:32.2754037Z - node: fx.Node(unsqueeze_108[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2754149Z - aten_name: 2023-07-07T20:05:32.2754281Z - function_overloads: 2023-07-07T20:05:32.2754396Z - onnx_args: 2023-07-07T20:05:32.2754514Z - onnx_kwargs: 2023-07-07T20:05:32.2754915Z - diagnostic_context: 2023-07-07T20:05:32.2755066Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2755341Z [2023-07-07 20:03:23,365] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_109]. 2023-07-07T20:05:32.2755484Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2755490Z 2023-07-07T20:05:32.2755684Z [2023-07-07 20:03:23,365] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2755886Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2755891Z 2023-07-07T20:05:32.2756072Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2756339Z - self: 2023-07-07T20:05:32.2756546Z - node: fx.Node(unsqueeze_109[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2756659Z - aten_name: 2023-07-07T20:05:32.2756779Z - function_overloads: 2023-07-07T20:05:32.2756895Z - onnx_args: 2023-07-07T20:05:32.2757010Z - onnx_kwargs: 2023-07-07T20:05:32.2757348Z - diagnostic_context: 2023-07-07T20:05:32.2757505Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2757784Z [2023-07-07 20:03:23,368] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_110]. 2023-07-07T20:05:32.2757924Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2757929Z 2023-07-07T20:05:32.2758125Z [2023-07-07 20:03:23,368] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2758314Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2758347Z 2023-07-07T20:05:32.2758564Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2758832Z - self: 2023-07-07T20:05:32.2759036Z - node: fx.Node(unsqueeze_110[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2759148Z - aten_name: 2023-07-07T20:05:32.2759280Z - function_overloads: 2023-07-07T20:05:32.2759424Z - onnx_args: 2023-07-07T20:05:32.2759542Z - onnx_kwargs: 2023-07-07T20:05:32.2759833Z - diagnostic_context: 2023-07-07T20:05:32.2759989Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2760265Z [2023-07-07 20:03:23,369] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_111]. 2023-07-07T20:05:32.2760405Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2760413Z 2023-07-07T20:05:32.2760609Z [2023-07-07 20:03:23,369] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2760810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2760816Z 2023-07-07T20:05:32.2760999Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2761264Z - self: 2023-07-07T20:05:32.2761470Z - node: fx.Node(unsqueeze_111[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2761571Z - aten_name: 2023-07-07T20:05:32.2761740Z - function_overloads: 2023-07-07T20:05:32.2761856Z - onnx_args: 2023-07-07T20:05:32.2761971Z - onnx_kwargs: 2023-07-07T20:05:32.2762279Z - diagnostic_context: 2023-07-07T20:05:32.2762436Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2762723Z [2023-07-07 20:03:23,372] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:32.2762855Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2762861Z 2023-07-07T20:05:32.2763059Z [2023-07-07 20:03:23,372] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2763260Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2763268Z 2023-07-07T20:05:32.2763452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2763717Z - self: 2023-07-07T20:05:32.2763930Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2764045Z - aten_name: 2023-07-07T20:05:32.2764177Z - function_overloads: 2023-07-07T20:05:32.2764281Z - onnx_args: 2023-07-07T20:05:32.2764495Z - onnx_kwargs: 2023-07-07T20:05:32.2764800Z - diagnostic_context: 2023-07-07T20:05:32.2765010Z - Return value: 2023-07-07T20:05:32.2765382Z [2023-07-07 20:03:23,375] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_28]. 2023-07-07T20:05:32.2765547Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2765556Z 2023-07-07T20:05:32.2765752Z [2023-07-07 20:03:23,375] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2765955Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2765999Z 2023-07-07T20:05:32.2766182Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2766469Z - self: 2023-07-07T20:05:32.2766713Z - node: fx.Node(convert_element_type_28[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2766825Z - aten_name: 2023-07-07T20:05:32.2766960Z - function_overloads: 2023-07-07T20:05:32.2767076Z - onnx_args: 2023-07-07T20:05:32.2767224Z - onnx_kwargs: 2023-07-07T20:05:32.2767528Z - diagnostic_context: 2023-07-07T20:05:32.2767710Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2768008Z [2023-07-07 20:03:23,376] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_29]. 2023-07-07T20:05:32.2768165Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2768173Z 2023-07-07T20:05:32.2768369Z [2023-07-07 20:03:23,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2768570Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2768576Z 2023-07-07T20:05:32.2768761Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2769028Z - self: 2023-07-07T20:05:32.2769268Z - node: fx.Node(convert_element_type_29[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2769381Z - aten_name: 2023-07-07T20:05:32.2769513Z - function_overloads: 2023-07-07T20:05:32.2769616Z - onnx_args: 2023-07-07T20:05:32.2769732Z - onnx_kwargs: 2023-07-07T20:05:32.2770036Z - diagnostic_context: 2023-07-07T20:05:32.2770223Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2770482Z [2023-07-07 20:03:23,381] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_14]. 2023-07-07T20:05:32.2770624Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2770629Z 2023-07-07T20:05:32.2770827Z [2023-07-07 20:03:23,381] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2771031Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2771037Z 2023-07-07T20:05:32.2771208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2771474Z - self: 2023-07-07T20:05:32.2771660Z - node: fx.Node(tensor_int_14[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2771779Z - aten_name: 2023-07-07T20:05:32.2771910Z - function_overloads: 2023-07-07T20:05:32.2772029Z - onnx_args: 2023-07-07T20:05:32.2772147Z - onnx_kwargs: 2023-07-07T20:05:32.2772447Z - diagnostic_context: 2023-07-07T20:05:32.2772593Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2772921Z [2023-07-07 20:03:23,386] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_112]. 2023-07-07T20:05:32.2773069Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2773074Z 2023-07-07T20:05:32.2773271Z [2023-07-07 20:03:23,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2773473Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2773479Z 2023-07-07T20:05:32.2773690Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2773985Z - self: 2023-07-07T20:05:32.2774193Z - node: fx.Node(unsqueeze_112[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2774294Z - aten_name: 2023-07-07T20:05:32.2774427Z - function_overloads: 2023-07-07T20:05:32.2774545Z - onnx_args: 2023-07-07T20:05:32.2774662Z - onnx_kwargs: 2023-07-07T20:05:32.2774995Z - diagnostic_context: 2023-07-07T20:05:32.2775153Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2775433Z [2023-07-07 20:03:23,387] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_113]. 2023-07-07T20:05:32.2775576Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2775584Z 2023-07-07T20:05:32.2775768Z [2023-07-07 20:03:23,387] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2775972Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2775977Z 2023-07-07T20:05:32.2776159Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2776427Z - self: 2023-07-07T20:05:32.2776635Z - node: fx.Node(unsqueeze_113[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2776748Z - aten_name: 2023-07-07T20:05:32.2776882Z - function_overloads: 2023-07-07T20:05:32.2776997Z - onnx_args: 2023-07-07T20:05:32.2777101Z - onnx_kwargs: 2023-07-07T20:05:32.2777404Z - diagnostic_context: 2023-07-07T20:05:32.2777560Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2777841Z [2023-07-07 20:03:23,388] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_114]. 2023-07-07T20:05:32.2777981Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2777987Z 2023-07-07T20:05:32.2778183Z [2023-07-07 20:03:23,388] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2778388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2778396Z 2023-07-07T20:05:32.2778579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2778847Z - self: 2023-07-07T20:05:32.2779039Z - node: fx.Node(unsqueeze_114[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2779154Z - aten_name: 2023-07-07T20:05:32.2779285Z - function_overloads: 2023-07-07T20:05:32.2779405Z - onnx_args: 2023-07-07T20:05:32.2779522Z - onnx_kwargs: 2023-07-07T20:05:32.2779828Z - diagnostic_context: 2023-07-07T20:05:32.2779986Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2780299Z [2023-07-07 20:03:23,389] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_115]. 2023-07-07T20:05:32.2780442Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2780450Z 2023-07-07T20:05:32.2780645Z [2023-07-07 20:03:23,389] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2780845Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2780851Z 2023-07-07T20:05:32.2781035Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2781332Z - self: 2023-07-07T20:05:32.2781564Z - node: fx.Node(unsqueeze_115[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2781679Z - aten_name: 2023-07-07T20:05:32.2781813Z - function_overloads: 2023-07-07T20:05:32.2781915Z - onnx_args: 2023-07-07T20:05:32.2782031Z - onnx_kwargs: 2023-07-07T20:05:32.2782335Z - diagnostic_context: 2023-07-07T20:05:32.2782519Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2782800Z [2023-07-07 20:03:23,393] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_116]. 2023-07-07T20:05:32.2782942Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2782948Z 2023-07-07T20:05:32.2783144Z [2023-07-07 20:03:23,394] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2783347Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2783355Z 2023-07-07T20:05:32.2783538Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2783793Z - self: 2023-07-07T20:05:32.2783999Z - node: fx.Node(unsqueeze_116[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2784115Z - aten_name: 2023-07-07T20:05:32.2784246Z - function_overloads: 2023-07-07T20:05:32.2784361Z - onnx_args: 2023-07-07T20:05:32.2784477Z - onnx_kwargs: 2023-07-07T20:05:32.2784780Z - diagnostic_context: 2023-07-07T20:05:32.2784923Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2785198Z [2023-07-07 20:03:23,395] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_117]. 2023-07-07T20:05:32.2785342Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2785348Z 2023-07-07T20:05:32.2785545Z [2023-07-07 20:03:23,395] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2785746Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2785754Z 2023-07-07T20:05:32.2785934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2786202Z - self: 2023-07-07T20:05:32.2786405Z - node: fx.Node(unsqueeze_117[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2786516Z - aten_name: 2023-07-07T20:05:32.2786635Z - function_overloads: 2023-07-07T20:05:32.2786750Z - onnx_args: 2023-07-07T20:05:32.2786869Z - onnx_kwargs: 2023-07-07T20:05:32.2787171Z - diagnostic_context: 2023-07-07T20:05:32.2787329Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2787604Z [2023-07-07 20:03:23,397] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_118]. 2023-07-07T20:05:32.2787775Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2787782Z 2023-07-07T20:05:32.2787978Z [2023-07-07 20:03:23,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2788165Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2788171Z 2023-07-07T20:05:32.2788353Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2788618Z - self: 2023-07-07T20:05:32.2788854Z - node: fx.Node(unsqueeze_118[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2788966Z - aten_name: 2023-07-07T20:05:32.2789124Z - function_overloads: 2023-07-07T20:05:32.2789241Z - onnx_args: 2023-07-07T20:05:32.2789357Z - onnx_kwargs: 2023-07-07T20:05:32.2789647Z - diagnostic_context: 2023-07-07T20:05:32.2789804Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2790108Z [2023-07-07 20:03:23,398] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_119]. 2023-07-07T20:05:32.2790247Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2790253Z 2023-07-07T20:05:32.2790447Z [2023-07-07 20:03:23,398] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2790647Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2790656Z 2023-07-07T20:05:32.2790841Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2791108Z - self: 2023-07-07T20:05:32.2791299Z - node: fx.Node(unsqueeze_119[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2791413Z - aten_name: 2023-07-07T20:05:32.2791545Z - function_overloads: 2023-07-07T20:05:32.2791663Z - onnx_args: 2023-07-07T20:05:32.2791779Z - onnx_kwargs: 2023-07-07T20:05:32.2792082Z - diagnostic_context: 2023-07-07T20:05:32.2792238Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2792481Z [2023-07-07 20:03:23,404] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_3]. 2023-07-07T20:05:32.2792600Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2792612Z 2023-07-07T20:05:32.2792809Z [2023-07-07 20:03:23,404] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2793007Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2793013Z 2023-07-07T20:05:32.2793193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2793459Z - self: 2023-07-07T20:05:32.2793634Z - node: fx.Node(cat_3[call_function]'aten.cat.default') 2023-07-07T20:05:32.2793746Z - aten_name: 2023-07-07T20:05:32.2793877Z - function_overloads: 2023-07-07T20:05:32.2793980Z - onnx_args: 2023-07-07T20:05:32.2794096Z - onnx_kwargs: 2023-07-07T20:05:32.2794399Z - diagnostic_context: 2023-07-07T20:05:32.2794546Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.2794901Z [2023-07-07 20:03:23,408] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_3]. 2023-07-07T20:05:32.2795046Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2795052Z 2023-07-07T20:05:32.2795248Z [2023-07-07 20:03:23,408] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2795487Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2795496Z 2023-07-07T20:05:32.2795680Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2795935Z - self: 2023-07-07T20:05:32.2796131Z - node: fx.Node(transpose_3[call_function]'aten.transpose.int') 2023-07-07T20:05:32.2796245Z - aten_name: 2023-07-07T20:05:32.2796404Z - function_overloads: 2023-07-07T20:05:32.2796519Z - onnx_args: 2023-07-07T20:05:32.2796664Z - onnx_kwargs: 2023-07-07T20:05:32.2796967Z - diagnostic_context: 2023-07-07T20:05:32.2797167Z - Return value: 2023-07-07T20:05:32.2797421Z [2023-07-07 20:03:23,409] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_3]. 2023-07-07T20:05:32.2797588Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2797593Z 2023-07-07T20:05:32.2797791Z [2023-07-07 20:03:23,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2797991Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2797997Z 2023-07-07T20:05:32.2798177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2798446Z - self: 2023-07-07T20:05:32.2798632Z - node: fx.Node(clone_3[call_function]'aten.clone.default') 2023-07-07T20:05:32.2798745Z - aten_name: 2023-07-07T20:05:32.2798864Z - function_overloads: 2023-07-07T20:05:32.2798978Z - onnx_args: 2023-07-07T20:05:32.2799096Z - onnx_kwargs: 2023-07-07T20:05:32.2799402Z - diagnostic_context: 2023-07-07T20:05:32.2799551Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.2799832Z [2023-07-07 20:03:23,414] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:32.2799977Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2799982Z 2023-07-07T20:05:32.2800175Z [2023-07-07 20:03:23,414] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2807288Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2807308Z 2023-07-07T20:05:32.2807561Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2807862Z - self: 2023-07-07T20:05:32.2808091Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2808211Z - aten_name: 2023-07-07T20:05:32.2808346Z - function_overloads: 2023-07-07T20:05:32.2808462Z - onnx_args: 2023-07-07T20:05:32.2808579Z - onnx_kwargs: 2023-07-07T20:05:32.2808888Z - diagnostic_context: 2023-07-07T20:05:32.2809087Z - Return value: 2023-07-07T20:05:32.2809406Z [2023-07-07 20:03:23,418] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_30]. 2023-07-07T20:05:32.2809573Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2809579Z 2023-07-07T20:05:32.2809779Z [2023-07-07 20:03:23,418] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2810106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2810116Z 2023-07-07T20:05:32.2810302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2810576Z - self: 2023-07-07T20:05:32.2810818Z - node: fx.Node(convert_element_type_30[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2810931Z - aten_name: 2023-07-07T20:05:32.2811051Z - function_overloads: 2023-07-07T20:05:32.2811209Z - onnx_args: 2023-07-07T20:05:32.2811325Z - onnx_kwargs: 2023-07-07T20:05:32.2811669Z - diagnostic_context: 2023-07-07T20:05:32.2811854Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2812168Z [2023-07-07 20:03:23,420] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_31]. 2023-07-07T20:05:32.2812329Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2812370Z 2023-07-07T20:05:32.2812570Z [2023-07-07 20:03:23,420] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2812761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2812779Z 2023-07-07T20:05:32.2812949Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2813220Z - self: 2023-07-07T20:05:32.2813464Z - node: fx.Node(convert_element_type_31[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2813578Z - aten_name: 2023-07-07T20:05:32.2813710Z - function_overloads: 2023-07-07T20:05:32.2813827Z - onnx_args: 2023-07-07T20:05:32.2813945Z - onnx_kwargs: 2023-07-07T20:05:32.2814238Z - diagnostic_context: 2023-07-07T20:05:32.2814424Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2814680Z [2023-07-07 20:03:23,426] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_15]. 2023-07-07T20:05:32.2814820Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2814827Z 2023-07-07T20:05:32.2815023Z [2023-07-07 20:03:23,426] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2815230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2815236Z 2023-07-07T20:05:32.2815418Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2815685Z - self: 2023-07-07T20:05:32.2815878Z - node: fx.Node(tensor_int_15[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2815981Z - aten_name: 2023-07-07T20:05:32.2816112Z - function_overloads: 2023-07-07T20:05:32.2816226Z - onnx_args: 2023-07-07T20:05:32.2816342Z - onnx_kwargs: 2023-07-07T20:05:32.2816646Z - diagnostic_context: 2023-07-07T20:05:32.2816808Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2817085Z [2023-07-07 20:03:23,433] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_120]. 2023-07-07T20:05:32.2817217Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2817236Z 2023-07-07T20:05:32.2817419Z [2023-07-07 20:03:23,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2817648Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2817655Z 2023-07-07T20:05:32.2817840Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2818106Z - self: 2023-07-07T20:05:32.2818313Z - node: fx.Node(unsqueeze_120[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2818426Z - aten_name: 2023-07-07T20:05:32.2818558Z - function_overloads: 2023-07-07T20:05:32.2818673Z - onnx_args: 2023-07-07T20:05:32.2818807Z - onnx_kwargs: 2023-07-07T20:05:32.2819148Z - diagnostic_context: 2023-07-07T20:05:32.2819307Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2819587Z [2023-07-07 20:03:23,434] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_121]. 2023-07-07T20:05:32.2819732Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2819768Z 2023-07-07T20:05:32.2819966Z [2023-07-07 20:03:23,434] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2820169Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2820175Z 2023-07-07T20:05:32.2820360Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2820627Z - self: 2023-07-07T20:05:32.2820823Z - node: fx.Node(unsqueeze_121[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2820938Z - aten_name: 2023-07-07T20:05:32.2821070Z - function_overloads: 2023-07-07T20:05:32.2821185Z - onnx_args: 2023-07-07T20:05:32.2821300Z - onnx_kwargs: 2023-07-07T20:05:32.2821606Z - diagnostic_context: 2023-07-07T20:05:32.2821764Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2822030Z [2023-07-07 20:03:23,436] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_122]. 2023-07-07T20:05:32.2822172Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2822178Z 2023-07-07T20:05:32.2822372Z [2023-07-07 20:03:23,436] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2822575Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2822584Z 2023-07-07T20:05:32.2822768Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2823036Z - self: 2023-07-07T20:05:32.2823243Z - node: fx.Node(unsqueeze_122[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2823371Z - aten_name: 2023-07-07T20:05:32.2823504Z - function_overloads: 2023-07-07T20:05:32.2823608Z - onnx_args: 2023-07-07T20:05:32.2823724Z - onnx_kwargs: 2023-07-07T20:05:32.2824029Z - diagnostic_context: 2023-07-07T20:05:32.2824186Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2824465Z [2023-07-07 20:03:23,437] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_123]. 2023-07-07T20:05:32.2824609Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2824616Z 2023-07-07T20:05:32.2824816Z [2023-07-07 20:03:23,437] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2825017Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2825023Z 2023-07-07T20:05:32.2825234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2825505Z - self: 2023-07-07T20:05:32.2825710Z - node: fx.Node(unsqueeze_123[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2825822Z - aten_name: 2023-07-07T20:05:32.2825953Z - function_overloads: 2023-07-07T20:05:32.2826068Z - onnx_args: 2023-07-07T20:05:32.2826183Z - onnx_kwargs: 2023-07-07T20:05:32.2826476Z - diagnostic_context: 2023-07-07T20:05:32.2826658Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2826961Z [2023-07-07 20:03:23,443] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_124]. 2023-07-07T20:05:32.2827105Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2827111Z 2023-07-07T20:05:32.2827310Z [2023-07-07 20:03:23,443] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2827543Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2827549Z 2023-07-07T20:05:32.2827729Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2827996Z - self: 2023-07-07T20:05:32.2828202Z - node: fx.Node(unsqueeze_124[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2828305Z - aten_name: 2023-07-07T20:05:32.2828435Z - function_overloads: 2023-07-07T20:05:32.2828549Z - onnx_args: 2023-07-07T20:05:32.2828666Z - onnx_kwargs: 2023-07-07T20:05:32.2828972Z - diagnostic_context: 2023-07-07T20:05:32.2829127Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2829404Z [2023-07-07 20:03:23,445] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_125]. 2023-07-07T20:05:32.2829546Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2829551Z 2023-07-07T20:05:32.2829734Z [2023-07-07 20:03:23,445] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2829934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2829940Z 2023-07-07T20:05:32.2830124Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2830397Z - self: 2023-07-07T20:05:32.2830600Z - node: fx.Node(unsqueeze_125[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2830713Z - aten_name: 2023-07-07T20:05:32.2830845Z - function_overloads: 2023-07-07T20:05:32.2830962Z - onnx_args: 2023-07-07T20:05:32.2831066Z - onnx_kwargs: 2023-07-07T20:05:32.2831373Z - diagnostic_context: 2023-07-07T20:05:32.2831530Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2831805Z [2023-07-07 20:03:23,448] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_126]. 2023-07-07T20:05:32.2831946Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2831955Z 2023-07-07T20:05:32.2832149Z [2023-07-07 20:03:23,448] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2832353Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2832359Z 2023-07-07T20:05:32.2832543Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2832840Z - self: 2023-07-07T20:05:32.2833035Z - node: fx.Node(unsqueeze_126[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2833150Z - aten_name: 2023-07-07T20:05:32.2833281Z - function_overloads: 2023-07-07T20:05:32.2833395Z - onnx_args: 2023-07-07T20:05:32.2833511Z - onnx_kwargs: 2023-07-07T20:05:32.2833811Z - diagnostic_context: 2023-07-07T20:05:32.2833956Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2834290Z [2023-07-07 20:03:23,450] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_127]. 2023-07-07T20:05:32.2834435Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2834441Z 2023-07-07T20:05:32.2834731Z [2023-07-07 20:03:23,450] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2834941Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2835011Z 2023-07-07T20:05:32.2835195Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2835472Z - self: 2023-07-07T20:05:32.2835676Z - node: fx.Node(unsqueeze_127[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2835791Z - aten_name: 2023-07-07T20:05:32.2835911Z - function_overloads: 2023-07-07T20:05:32.2836029Z - onnx_args: 2023-07-07T20:05:32.2836146Z - onnx_kwargs: 2023-07-07T20:05:32.2836452Z - diagnostic_context: 2023-07-07T20:05:32.2836609Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2836900Z [2023-07-07 20:03:23,454] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:32.2837049Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2837057Z 2023-07-07T20:05:32.2837252Z [2023-07-07 20:03:23,454] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2837441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2837446Z 2023-07-07T20:05:32.2837628Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2837897Z - self: 2023-07-07T20:05:32.2838114Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2838228Z - aten_name: 2023-07-07T20:05:32.2838360Z - function_overloads: 2023-07-07T20:05:32.2838475Z - onnx_args: 2023-07-07T20:05:32.2838590Z - onnx_kwargs: 2023-07-07T20:05:32.2838881Z - diagnostic_context: 2023-07-07T20:05:32.2839094Z - Return value: 2023-07-07T20:05:32.2839402Z [2023-07-07 20:03:23,458] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_32]. 2023-07-07T20:05:32.2839563Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2839569Z 2023-07-07T20:05:32.2839764Z [2023-07-07 20:03:23,458] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2839968Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2839974Z 2023-07-07T20:05:32.2840156Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2840453Z - self: 2023-07-07T20:05:32.2840696Z - node: fx.Node(convert_element_type_32[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2840800Z - aten_name: 2023-07-07T20:05:32.2840933Z - function_overloads: 2023-07-07T20:05:32.2841049Z - onnx_args: 2023-07-07T20:05:32.2841167Z - onnx_kwargs: 2023-07-07T20:05:32.2841471Z - diagnostic_context: 2023-07-07T20:05:32.2841656Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2842017Z [2023-07-07 20:03:23,460] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_33]. 2023-07-07T20:05:32.2842167Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2842187Z 2023-07-07T20:05:32.2842369Z [2023-07-07 20:03:23,460] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2842573Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2842604Z 2023-07-07T20:05:32.2842786Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2843055Z - self: 2023-07-07T20:05:32.2843298Z - node: fx.Node(convert_element_type_33[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2843412Z - aten_name: 2023-07-07T20:05:32.2843546Z - function_overloads: 2023-07-07T20:05:32.2843661Z - onnx_args: 2023-07-07T20:05:32.2843767Z - onnx_kwargs: 2023-07-07T20:05:32.2844070Z - diagnostic_context: 2023-07-07T20:05:32.2844252Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2844684Z [2023-07-07 20:03:23,466] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_16]. 2023-07-07T20:05:32.2844900Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2844909Z 2023-07-07T20:05:32.2845213Z [2023-07-07 20:03:23,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2845526Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2845536Z 2023-07-07T20:05:32.2845835Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2846289Z - self: 2023-07-07T20:05:32.2846586Z - node: fx.Node(tensor_int_16[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2846777Z - aten_name: 2023-07-07T20:05:32.2847004Z - function_overloads: 2023-07-07T20:05:32.2847200Z - onnx_args: 2023-07-07T20:05:32.2847414Z - onnx_kwargs: 2023-07-07T20:05:32.2847929Z - diagnostic_context: 2023-07-07T20:05:32.2848205Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2848667Z [2023-07-07 20:03:23,474] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_128]. 2023-07-07T20:05:32.2848903Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2848913Z 2023-07-07T20:05:32.2849263Z [2023-07-07 20:03:23,474] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2849616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2849627Z 2023-07-07T20:05:32.2849928Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2850336Z - self: 2023-07-07T20:05:32.2850822Z - node: fx.Node(unsqueeze_128[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2851021Z - aten_name: 2023-07-07T20:05:32.2851224Z - function_overloads: 2023-07-07T20:05:32.2851407Z - onnx_args: 2023-07-07T20:05:32.2851602Z - onnx_kwargs: 2023-07-07T20:05:32.2852124Z - diagnostic_context: 2023-07-07T20:05:32.2852396Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2852874Z [2023-07-07 20:03:23,476] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_129]. 2023-07-07T20:05:32.2853281Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2853296Z 2023-07-07T20:05:32.2853641Z [2023-07-07 20:03:23,476] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2853990Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2854000Z 2023-07-07T20:05:32.2854359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2854834Z - self: 2023-07-07T20:05:32.2855202Z - node: fx.Node(unsqueeze_129[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2855409Z - aten_name: 2023-07-07T20:05:32.2855649Z - function_overloads: 2023-07-07T20:05:32.2855843Z - onnx_args: 2023-07-07T20:05:32.2856048Z - onnx_kwargs: 2023-07-07T20:05:32.2856616Z - diagnostic_context: 2023-07-07T20:05:32.2856914Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2857422Z [2023-07-07 20:03:23,477] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_130]. 2023-07-07T20:05:32.2857685Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2857696Z 2023-07-07T20:05:32.2858073Z [2023-07-07 20:03:23,477] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2858449Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2858459Z 2023-07-07T20:05:32.2858779Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2859291Z - self: 2023-07-07T20:05:32.2859686Z - node: fx.Node(unsqueeze_130[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2859888Z - aten_name: 2023-07-07T20:05:32.2860139Z - function_overloads: 2023-07-07T20:05:32.2860351Z - onnx_args: 2023-07-07T20:05:32.2860572Z - onnx_kwargs: 2023-07-07T20:05:32.2861142Z - diagnostic_context: 2023-07-07T20:05:32.2861423Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2861935Z [2023-07-07 20:03:23,479] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_131]. 2023-07-07T20:05:32.2862195Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2862207Z 2023-07-07T20:05:32.2862551Z [2023-07-07 20:03:23,479] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2862926Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2862946Z 2023-07-07T20:05:32.2863288Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2863742Z - self: 2023-07-07T20:05:32.2864094Z - node: fx.Node(unsqueeze_131[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2864394Z - aten_name: 2023-07-07T20:05:32.2864631Z - function_overloads: 2023-07-07T20:05:32.2864842Z - onnx_args: 2023-07-07T20:05:32.2865026Z - onnx_kwargs: 2023-07-07T20:05:32.2865541Z - diagnostic_context: 2023-07-07T20:05:32.2865808Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2866293Z [2023-07-07 20:03:23,484] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_132]. 2023-07-07T20:05:32.2866624Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2866638Z 2023-07-07T20:05:32.2867034Z [2023-07-07 20:03:23,484] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2867393Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2867403Z 2023-07-07T20:05:32.2867726Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2868309Z - self: 2023-07-07T20:05:32.2868687Z - node: fx.Node(unsqueeze_132[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2868892Z - aten_name: 2023-07-07T20:05:32.2869129Z - function_overloads: 2023-07-07T20:05:32.2869345Z - onnx_args: 2023-07-07T20:05:32.2869558Z - onnx_kwargs: 2023-07-07T20:05:32.2870126Z - diagnostic_context: 2023-07-07T20:05:32.2870423Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2870890Z [2023-07-07 20:03:23,486] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_133]. 2023-07-07T20:05:32.2871136Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2871148Z 2023-07-07T20:05:32.2871503Z [2023-07-07 20:03:23,486] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2871867Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2871883Z 2023-07-07T20:05:32.2872190Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2872665Z - self: 2023-07-07T20:05:32.2873036Z - node: fx.Node(unsqueeze_133[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2873233Z - aten_name: 2023-07-07T20:05:32.2873462Z - function_overloads: 2023-07-07T20:05:32.2873648Z - onnx_args: 2023-07-07T20:05:32.2873851Z - onnx_kwargs: 2023-07-07T20:05:32.2874429Z - diagnostic_context: 2023-07-07T20:05:32.2874816Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2875352Z [2023-07-07 20:03:23,490] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_134]. 2023-07-07T20:05:32.2875625Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2875642Z 2023-07-07T20:05:32.2876006Z [2023-07-07 20:03:23,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2876344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2876356Z 2023-07-07T20:05:32.2876660Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2877157Z - self: 2023-07-07T20:05:32.2877529Z - node: fx.Node(unsqueeze_134[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2877734Z - aten_name: 2023-07-07T20:05:32.2877957Z - function_overloads: 2023-07-07T20:05:32.2878271Z - onnx_args: 2023-07-07T20:05:32.2878479Z - onnx_kwargs: 2023-07-07T20:05:32.2879019Z - diagnostic_context: 2023-07-07T20:05:32.2879284Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2879756Z [2023-07-07 20:03:23,491] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_135]. 2023-07-07T20:05:32.2879996Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2880006Z 2023-07-07T20:05:32.2880423Z [2023-07-07 20:03:23,491] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2880856Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2880868Z 2023-07-07T20:05:32.2881211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2881730Z - self: 2023-07-07T20:05:32.2882088Z - node: fx.Node(unsqueeze_135[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2882272Z - aten_name: 2023-07-07T20:05:32.2882478Z - function_overloads: 2023-07-07T20:05:32.2882661Z - onnx_args: 2023-07-07T20:05:32.2882854Z - onnx_kwargs: 2023-07-07T20:05:32.2883350Z - diagnostic_context: 2023-07-07T20:05:32.2883598Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2884094Z [2023-07-07 20:03:23,500] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:32.2884335Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2884347Z 2023-07-07T20:05:32.2884809Z [2023-07-07 20:03:23,500] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2885177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2885192Z 2023-07-07T20:05:32.2885514Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2885987Z - self: 2023-07-07T20:05:32.2886357Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2886545Z - aten_name: 2023-07-07T20:05:32.2886761Z - function_overloads: 2023-07-07T20:05:32.2886959Z - onnx_args: 2023-07-07T20:05:32.2887153Z - onnx_kwargs: 2023-07-07T20:05:32.2887683Z - diagnostic_context: 2023-07-07T20:05:32.2888040Z - Return value: 2023-07-07T20:05:32.2888572Z [2023-07-07 20:03:23,505] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_34]. 2023-07-07T20:05:32.2888843Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2888855Z 2023-07-07T20:05:32.2889225Z [2023-07-07 20:03:23,505] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2889572Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2889584Z 2023-07-07T20:05:32.2889926Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2890377Z - self: 2023-07-07T20:05:32.2890802Z - node: fx.Node(convert_element_type_34[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2890982Z - aten_name: 2023-07-07T20:05:32.2891225Z - function_overloads: 2023-07-07T20:05:32.2891418Z - onnx_args: 2023-07-07T20:05:32.2891798Z - onnx_kwargs: 2023-07-07T20:05:32.2892401Z - diagnostic_context: 2023-07-07T20:05:32.2892749Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2893338Z [2023-07-07 20:03:23,507] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_35]. 2023-07-07T20:05:32.2893601Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2893688Z 2023-07-07T20:05:32.2894004Z [2023-07-07 20:03:23,507] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2894411Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2894423Z 2023-07-07T20:05:32.2894726Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2895201Z - self: 2023-07-07T20:05:32.2895714Z - node: fx.Node(convert_element_type_35[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2895922Z - aten_name: 2023-07-07T20:05:32.2896152Z - function_overloads: 2023-07-07T20:05:32.2896346Z - onnx_args: 2023-07-07T20:05:32.2896531Z - onnx_kwargs: 2023-07-07T20:05:32.2897066Z - diagnostic_context: 2023-07-07T20:05:32.2897396Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2897888Z [2023-07-07 20:03:23,513] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_17]. 2023-07-07T20:05:32.2898157Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2898170Z 2023-07-07T20:05:32.2898533Z [2023-07-07 20:03:23,513] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2898892Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2898907Z 2023-07-07T20:05:32.2899238Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2899734Z - self: 2023-07-07T20:05:32.2900069Z - node: fx.Node(tensor_int_17[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2900267Z - aten_name: 2023-07-07T20:05:32.2900499Z - function_overloads: 2023-07-07T20:05:32.2900692Z - onnx_args: 2023-07-07T20:05:32.2900895Z - onnx_kwargs: 2023-07-07T20:05:32.2901415Z - diagnostic_context: 2023-07-07T20:05:32.2901687Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2902141Z [2023-07-07 20:03:23,520] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_136]. 2023-07-07T20:05:32.2902402Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2902412Z 2023-07-07T20:05:32.2902753Z [2023-07-07 20:03:23,520] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2903113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2903124Z 2023-07-07T20:05:32.2903419Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2903896Z - self: 2023-07-07T20:05:32.2904284Z - node: fx.Node(unsqueeze_136[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2904492Z - aten_name: 2023-07-07T20:05:32.2904706Z - function_overloads: 2023-07-07T20:05:32.2904908Z - onnx_args: 2023-07-07T20:05:32.2905220Z - onnx_kwargs: 2023-07-07T20:05:32.2905750Z - diagnostic_context: 2023-07-07T20:05:32.2906026Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2906511Z [2023-07-07 20:03:23,521] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_137]. 2023-07-07T20:05:32.2906770Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2906781Z 2023-07-07T20:05:32.2907139Z [2023-07-07 20:03:23,521] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2907617Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2907650Z 2023-07-07T20:05:32.2907960Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2908438Z - self: 2023-07-07T20:05:32.2908804Z - node: fx.Node(unsqueeze_137[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2909061Z - aten_name: 2023-07-07T20:05:32.2909301Z - function_overloads: 2023-07-07T20:05:32.2909511Z - onnx_args: 2023-07-07T20:05:32.2909712Z - onnx_kwargs: 2023-07-07T20:05:32.2910243Z - diagnostic_context: 2023-07-07T20:05:32.2910533Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2911042Z [2023-07-07 20:03:23,523] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_138]. 2023-07-07T20:05:32.2911302Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2911314Z 2023-07-07T20:05:32.2911663Z [2023-07-07 20:03:23,523] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2911996Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2912007Z 2023-07-07T20:05:32.2912352Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2912828Z - self: 2023-07-07T20:05:32.2913187Z - node: fx.Node(unsqueeze_138[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2913367Z - aten_name: 2023-07-07T20:05:32.2913592Z - function_overloads: 2023-07-07T20:05:32.2913793Z - onnx_args: 2023-07-07T20:05:32.2914012Z - onnx_kwargs: 2023-07-07T20:05:32.2914557Z - diagnostic_context: 2023-07-07T20:05:32.2914908Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2915400Z [2023-07-07 20:03:23,524] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_139]. 2023-07-07T20:05:32.2915660Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2915672Z 2023-07-07T20:05:32.2915990Z [2023-07-07 20:03:23,524] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2916366Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2916378Z 2023-07-07T20:05:32.2916704Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2917195Z - self: 2023-07-07T20:05:32.2917564Z - node: fx.Node(unsqueeze_139[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2917766Z - aten_name: 2023-07-07T20:05:32.2917993Z - function_overloads: 2023-07-07T20:05:32.2918198Z - onnx_args: 2023-07-07T20:05:32.2918391Z - onnx_kwargs: 2023-07-07T20:05:32.2919017Z - diagnostic_context: 2023-07-07T20:05:32.2919298Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2919790Z [2023-07-07 20:03:23,530] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_140]. 2023-07-07T20:05:32.2920044Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2920056Z 2023-07-07T20:05:32.2920416Z [2023-07-07 20:03:23,530] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2920787Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2920873Z 2023-07-07T20:05:32.2921275Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2921764Z - self: 2023-07-07T20:05:32.2922109Z - node: fx.Node(unsqueeze_140[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2922313Z - aten_name: 2023-07-07T20:05:32.2922540Z - function_overloads: 2023-07-07T20:05:32.2922805Z - onnx_args: 2023-07-07T20:05:32.2923013Z - onnx_kwargs: 2023-07-07T20:05:32.2923564Z - diagnostic_context: 2023-07-07T20:05:32.2923856Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2924336Z [2023-07-07 20:03:23,531] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_141]. 2023-07-07T20:05:32.2924727Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2924741Z 2023-07-07T20:05:32.2925072Z [2023-07-07 20:03:23,531] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2925425Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2925435Z 2023-07-07T20:05:32.2925762Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2926249Z - self: 2023-07-07T20:05:32.2926595Z - node: fx.Node(unsqueeze_141[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2926803Z - aten_name: 2023-07-07T20:05:32.2927036Z - function_overloads: 2023-07-07T20:05:32.2927228Z - onnx_args: 2023-07-07T20:05:32.2927431Z - onnx_kwargs: 2023-07-07T20:05:32.2927971Z - diagnostic_context: 2023-07-07T20:05:32.2928255Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2928741Z [2023-07-07 20:03:23,535] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_142]. 2023-07-07T20:05:32.2929000Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2929012Z 2023-07-07T20:05:32.2929379Z [2023-07-07 20:03:23,535] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2929744Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2929756Z 2023-07-07T20:05:32.2930061Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2930549Z - self: 2023-07-07T20:05:32.2930923Z - node: fx.Node(unsqueeze_142[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2931127Z - aten_name: 2023-07-07T20:05:32.2931360Z - function_overloads: 2023-07-07T20:05:32.2931566Z - onnx_args: 2023-07-07T20:05:32.2931738Z - onnx_kwargs: 2023-07-07T20:05:32.2932191Z - diagnostic_context: 2023-07-07T20:05:32.2932438Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2932989Z [2023-07-07 20:03:23,536] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_143]. 2023-07-07T20:05:32.2933229Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2933239Z 2023-07-07T20:05:32.2933575Z [2023-07-07 20:03:23,537] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2933923Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2933934Z 2023-07-07T20:05:32.2934270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2934955Z - self: 2023-07-07T20:05:32.2935354Z - node: fx.Node(unsqueeze_143[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2935571Z - aten_name: 2023-07-07T20:05:32.2935808Z - function_overloads: 2023-07-07T20:05:32.2936027Z - onnx_args: 2023-07-07T20:05:32.2936232Z - onnx_kwargs: 2023-07-07T20:05:32.2936834Z - diagnostic_context: 2023-07-07T20:05:32.2937126Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2937627Z [2023-07-07 20:03:23,545] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:32.2937883Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2937893Z 2023-07-07T20:05:32.2938218Z [2023-07-07 20:03:23,546] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2938600Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2938610Z 2023-07-07T20:05:32.2938916Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2939410Z - self: 2023-07-07T20:05:32.2939786Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2939980Z - aten_name: 2023-07-07T20:05:32.2940216Z - function_overloads: 2023-07-07T20:05:32.2940411Z - onnx_args: 2023-07-07T20:05:32.2940593Z - onnx_kwargs: 2023-07-07T20:05:32.2941154Z - diagnostic_context: 2023-07-07T20:05:32.2941528Z - Return value: 2023-07-07T20:05:32.2942092Z [2023-07-07 20:03:23,550] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_36]. 2023-07-07T20:05:32.2942370Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2942382Z 2023-07-07T20:05:32.2942727Z [2023-07-07 20:03:23,550] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2943097Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2943112Z 2023-07-07T20:05:32.2943443Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2943892Z - self: 2023-07-07T20:05:32.2944301Z - node: fx.Node(convert_element_type_36[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2944509Z - aten_name: 2023-07-07T20:05:32.2944754Z - function_overloads: 2023-07-07T20:05:32.2944955Z - onnx_args: 2023-07-07T20:05:32.2945162Z - onnx_kwargs: 2023-07-07T20:05:32.2945703Z - diagnostic_context: 2023-07-07T20:05:32.2946038Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2946722Z [2023-07-07 20:03:23,552] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_37]. 2023-07-07T20:05:32.2946996Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2947025Z 2023-07-07T20:05:32.2947365Z [2023-07-07 20:03:23,552] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2947718Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2947729Z 2023-07-07T20:05:32.2948106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2948649Z - self: 2023-07-07T20:05:32.2949103Z - node: fx.Node(convert_element_type_37[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2949306Z - aten_name: 2023-07-07T20:05:32.2949533Z - function_overloads: 2023-07-07T20:05:32.2949733Z - onnx_args: 2023-07-07T20:05:32.2949979Z - onnx_kwargs: 2023-07-07T20:05:32.2950514Z - diagnostic_context: 2023-07-07T20:05:32.2950838Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2951308Z [2023-07-07 20:03:23,559] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_18]. 2023-07-07T20:05:32.2951548Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2951564Z 2023-07-07T20:05:32.2951906Z [2023-07-07 20:03:23,559] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2952265Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2952275Z 2023-07-07T20:05:32.2952580Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2953004Z - self: 2023-07-07T20:05:32.2953331Z - node: fx.Node(tensor_int_18[call_function]'aten.tensor.int') 2023-07-07T20:05:32.2953519Z - aten_name: 2023-07-07T20:05:32.2953754Z - function_overloads: 2023-07-07T20:05:32.2953946Z - onnx_args: 2023-07-07T20:05:32.2954155Z - onnx_kwargs: 2023-07-07T20:05:32.2954794Z - diagnostic_context: 2023-07-07T20:05:32.2955080Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.2955560Z [2023-07-07 20:03:23,566] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_144]. 2023-07-07T20:05:32.2955816Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2955828Z 2023-07-07T20:05:32.2956166Z [2023-07-07 20:03:23,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2956527Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2956541Z 2023-07-07T20:05:32.2956882Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2957361Z - self: 2023-07-07T20:05:32.2957728Z - node: fx.Node(unsqueeze_144[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2957917Z - aten_name: 2023-07-07T20:05:32.2958136Z - function_overloads: 2023-07-07T20:05:32.2958340Z - onnx_args: 2023-07-07T20:05:32.2958533Z - onnx_kwargs: 2023-07-07T20:05:32.2959065Z - diagnostic_context: 2023-07-07T20:05:32.2959337Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2959943Z [2023-07-07 20:03:23,567] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_145]. 2023-07-07T20:05:32.2960203Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2960217Z 2023-07-07T20:05:32.2960569Z [2023-07-07 20:03:23,567] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2960911Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2960938Z 2023-07-07T20:05:32.2961245Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2961793Z - self: 2023-07-07T20:05:32.2962215Z - node: fx.Node(unsqueeze_145[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2962407Z - aten_name: 2023-07-07T20:05:32.2962635Z - function_overloads: 2023-07-07T20:05:32.2962837Z - onnx_args: 2023-07-07T20:05:32.2963042Z - onnx_kwargs: 2023-07-07T20:05:32.2963584Z - diagnostic_context: 2023-07-07T20:05:32.2963926Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2964545Z [2023-07-07 20:03:23,568] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_146]. 2023-07-07T20:05:32.2964800Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2964812Z 2023-07-07T20:05:32.2965174Z [2023-07-07 20:03:23,568] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2965528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2965544Z 2023-07-07T20:05:32.2965846Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2966320Z - self: 2023-07-07T20:05:32.2966688Z - node: fx.Node(unsqueeze_146[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2966882Z - aten_name: 2023-07-07T20:05:32.2967124Z - function_overloads: 2023-07-07T20:05:32.2967332Z - onnx_args: 2023-07-07T20:05:32.2967536Z - onnx_kwargs: 2023-07-07T20:05:32.2968023Z - diagnostic_context: 2023-07-07T20:05:32.2968294Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2968793Z [2023-07-07 20:03:23,570] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_147]. 2023-07-07T20:05:32.2969056Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2969068Z 2023-07-07T20:05:32.2969400Z [2023-07-07 20:03:23,570] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2969755Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2969771Z 2023-07-07T20:05:32.2970087Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2970568Z - self: 2023-07-07T20:05:32.2970943Z - node: fx.Node(unsqueeze_147[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2971146Z - aten_name: 2023-07-07T20:05:32.2971378Z - function_overloads: 2023-07-07T20:05:32.2971574Z - onnx_args: 2023-07-07T20:05:32.2971772Z - onnx_kwargs: 2023-07-07T20:05:32.2972317Z - diagnostic_context: 2023-07-07T20:05:32.2972592Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2973080Z [2023-07-07 20:03:23,576] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_148]. 2023-07-07T20:05:32.2973460Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2973476Z 2023-07-07T20:05:32.2973833Z [2023-07-07 20:03:23,576] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2974183Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2974192Z 2023-07-07T20:05:32.2974507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2975002Z - self: 2023-07-07T20:05:32.2975451Z - node: fx.Node(unsqueeze_148[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2975704Z - aten_name: 2023-07-07T20:05:32.2975941Z - function_overloads: 2023-07-07T20:05:32.2976138Z - onnx_args: 2023-07-07T20:05:32.2976346Z - onnx_kwargs: 2023-07-07T20:05:32.2976883Z - diagnostic_context: 2023-07-07T20:05:32.2977170Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2977739Z [2023-07-07 20:03:23,577] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_149]. 2023-07-07T20:05:32.2977995Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2978011Z 2023-07-07T20:05:32.2978367Z [2023-07-07 20:03:23,577] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2978671Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2978687Z 2023-07-07T20:05:32.2978972Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2979415Z - self: 2023-07-07T20:05:32.2979769Z - node: fx.Node(unsqueeze_149[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2979943Z - aten_name: 2023-07-07T20:05:32.2980141Z - function_overloads: 2023-07-07T20:05:32.2980316Z - onnx_args: 2023-07-07T20:05:32.2980494Z - onnx_kwargs: 2023-07-07T20:05:32.2980971Z - diagnostic_context: 2023-07-07T20:05:32.2981226Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2981680Z [2023-07-07 20:03:23,581] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_150]. 2023-07-07T20:05:32.2981928Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2981938Z 2023-07-07T20:05:32.2982266Z [2023-07-07 20:03:23,581] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2982604Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2982614Z 2023-07-07T20:05:32.2982921Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2983393Z - self: 2023-07-07T20:05:32.2983751Z - node: fx.Node(unsqueeze_150[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2983950Z - aten_name: 2023-07-07T20:05:32.2984172Z - function_overloads: 2023-07-07T20:05:32.2984372Z - onnx_args: 2023-07-07T20:05:32.2984585Z - onnx_kwargs: 2023-07-07T20:05:32.2985102Z - diagnostic_context: 2023-07-07T20:05:32.2985354Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2985876Z [2023-07-07 20:03:23,582] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_151]. 2023-07-07T20:05:32.2986140Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2986150Z 2023-07-07T20:05:32.2986624Z [2023-07-07 20:03:23,582] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2986958Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2986970Z 2023-07-07T20:05:32.2987234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2987637Z - self: 2023-07-07T20:05:32.2987947Z - node: fx.Node(unsqueeze_151[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.2988163Z - aten_name: 2023-07-07T20:05:32.2988354Z - function_overloads: 2023-07-07T20:05:32.2988590Z - onnx_args: 2023-07-07T20:05:32.2988766Z - onnx_kwargs: 2023-07-07T20:05:32.2989227Z - diagnostic_context: 2023-07-07T20:05:32.2989484Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.2989974Z [2023-07-07 20:03:23,586] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:32.2990261Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2990271Z 2023-07-07T20:05:32.2990580Z [2023-07-07 20:03:23,586] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2990900Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2990911Z 2023-07-07T20:05:32.2991208Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2991666Z - self: 2023-07-07T20:05:32.2992033Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:32.2992231Z - aten_name: 2023-07-07T20:05:32.2992469Z - function_overloads: 2023-07-07T20:05:32.2992680Z - onnx_args: 2023-07-07T20:05:32.2992880Z - onnx_kwargs: 2023-07-07T20:05:32.2993447Z - diagnostic_context: 2023-07-07T20:05:32.2993840Z - Return value: 2023-07-07T20:05:32.2994356Z [2023-07-07 20:03:23,591] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_38]. 2023-07-07T20:05:32.2994697Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2994716Z 2023-07-07T20:05:32.2995050Z [2023-07-07 20:03:23,591] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2995395Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2995405Z 2023-07-07T20:05:32.2995677Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.2996126Z - self: 2023-07-07T20:05:32.2996528Z - node: fx.Node(convert_element_type_38[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.2996707Z - aten_name: 2023-07-07T20:05:32.2996920Z - function_overloads: 2023-07-07T20:05:32.2997109Z - onnx_args: 2023-07-07T20:05:32.2997310Z - onnx_kwargs: 2023-07-07T20:05:32.2997811Z - diagnostic_context: 2023-07-07T20:05:32.2998126Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.2998673Z [2023-07-07 20:03:23,593] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_39]. 2023-07-07T20:05:32.2998925Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.2998936Z 2023-07-07T20:05:32.2999380Z [2023-07-07 20:03:23,593] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.2999736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.2999747Z 2023-07-07T20:05:32.3000075Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3000548Z - self: 2023-07-07T20:05:32.3000967Z - node: fx.Node(convert_element_type_39[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3001236Z - aten_name: 2023-07-07T20:05:32.3001458Z - function_overloads: 2023-07-07T20:05:32.3001687Z - onnx_args: 2023-07-07T20:05:32.3001885Z - onnx_kwargs: 2023-07-07T20:05:32.3002414Z - diagnostic_context: 2023-07-07T20:05:32.3002716Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3003173Z [2023-07-07 20:03:23,598] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_19]. 2023-07-07T20:05:32.3003458Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3003470Z 2023-07-07T20:05:32.3003790Z [2023-07-07 20:03:23,599] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3004125Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3004134Z 2023-07-07T20:05:32.3004575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3005058Z - self: 2023-07-07T20:05:32.3005388Z - node: fx.Node(tensor_int_19[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3005590Z - aten_name: 2023-07-07T20:05:32.3005825Z - function_overloads: 2023-07-07T20:05:32.3006003Z - onnx_args: 2023-07-07T20:05:32.3006200Z - onnx_kwargs: 2023-07-07T20:05:32.3006705Z - diagnostic_context: 2023-07-07T20:05:32.3006955Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3007424Z [2023-07-07 20:03:23,605] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_152]. 2023-07-07T20:05:32.3007659Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3007675Z 2023-07-07T20:05:32.3008009Z [2023-07-07 20:03:23,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3008312Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3008321Z 2023-07-07T20:05:32.3008772Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3009245Z - self: 2023-07-07T20:05:32.3009603Z - node: fx.Node(unsqueeze_152[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3009808Z - aten_name: 2023-07-07T20:05:32.3010028Z - function_overloads: 2023-07-07T20:05:32.3010231Z - onnx_args: 2023-07-07T20:05:32.3010428Z - onnx_kwargs: 2023-07-07T20:05:32.3010951Z - diagnostic_context: 2023-07-07T20:05:32.3011236Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3011752Z [2023-07-07 20:03:23,607] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_153]. 2023-07-07T20:05:32.3012012Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3012028Z 2023-07-07T20:05:32.3012389Z [2023-07-07 20:03:23,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3012852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3012886Z 2023-07-07T20:05:32.3013184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3013690Z - self: 2023-07-07T20:05:32.3014040Z - node: fx.Node(unsqueeze_153[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3014224Z - aten_name: 2023-07-07T20:05:32.3014459Z - function_overloads: 2023-07-07T20:05:32.3015084Z - onnx_args: 2023-07-07T20:05:32.3015291Z - onnx_kwargs: 2023-07-07T20:05:32.3015905Z - diagnostic_context: 2023-07-07T20:05:32.3016191Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3016721Z [2023-07-07 20:03:23,608] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_154]. 2023-07-07T20:05:32.3016978Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3017063Z 2023-07-07T20:05:32.3017435Z [2023-07-07 20:03:23,608] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3017810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3017820Z 2023-07-07T20:05:32.3018142Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3018600Z - self: 2023-07-07T20:05:32.3018949Z - node: fx.Node(unsqueeze_154[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3019109Z - aten_name: 2023-07-07T20:05:32.3019312Z - function_overloads: 2023-07-07T20:05:32.3019491Z - onnx_args: 2023-07-07T20:05:32.3019671Z - onnx_kwargs: 2023-07-07T20:05:32.3020145Z - diagnostic_context: 2023-07-07T20:05:32.3020395Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3020866Z [2023-07-07 20:03:23,610] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_155]. 2023-07-07T20:05:32.3021077Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3021102Z 2023-07-07T20:05:32.3021414Z [2023-07-07 20:03:23,610] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3021773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3021789Z 2023-07-07T20:05:32.3022088Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3022528Z - self: 2023-07-07T20:05:32.3022873Z - node: fx.Node(unsqueeze_155[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3023081Z - aten_name: 2023-07-07T20:05:32.3023316Z - function_overloads: 2023-07-07T20:05:32.3023518Z - onnx_args: 2023-07-07T20:05:32.3023701Z - onnx_kwargs: 2023-07-07T20:05:32.3024225Z - diagnostic_context: 2023-07-07T20:05:32.3024500Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3024971Z [2023-07-07 20:03:23,615] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_156]. 2023-07-07T20:05:32.3025225Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3025236Z 2023-07-07T20:05:32.3025589Z [2023-07-07 20:03:23,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3025949Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3026049Z 2023-07-07T20:05:32.3026382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3026884Z - self: 2023-07-07T20:05:32.3027247Z - node: fx.Node(unsqueeze_156[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3027452Z - aten_name: 2023-07-07T20:05:32.3027689Z - function_overloads: 2023-07-07T20:05:32.3027902Z - onnx_args: 2023-07-07T20:05:32.3028155Z - onnx_kwargs: 2023-07-07T20:05:32.3028773Z - diagnostic_context: 2023-07-07T20:05:32.3029063Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3029527Z [2023-07-07 20:03:23,617] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_157]. 2023-07-07T20:05:32.3029779Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3029790Z 2023-07-07T20:05:32.3030152Z [2023-07-07 20:03:23,617] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3030586Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3030597Z 2023-07-07T20:05:32.3030945Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3031442Z - self: 2023-07-07T20:05:32.3031799Z - node: fx.Node(unsqueeze_157[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3032006Z - aten_name: 2023-07-07T20:05:32.3032247Z - function_overloads: 2023-07-07T20:05:32.3032429Z - onnx_args: 2023-07-07T20:05:32.3032628Z - onnx_kwargs: 2023-07-07T20:05:32.3033177Z - diagnostic_context: 2023-07-07T20:05:32.3033458Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3033981Z [2023-07-07 20:03:23,620] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_158]. 2023-07-07T20:05:32.3034242Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3034253Z 2023-07-07T20:05:32.3034708Z [2023-07-07 20:03:23,620] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3035086Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3035101Z 2023-07-07T20:05:32.3035428Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3035943Z - self: 2023-07-07T20:05:32.3036329Z - node: fx.Node(unsqueeze_158[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3036540Z - aten_name: 2023-07-07T20:05:32.3036792Z - function_overloads: 2023-07-07T20:05:32.3037013Z - onnx_args: 2023-07-07T20:05:32.3037232Z - onnx_kwargs: 2023-07-07T20:05:32.3037789Z - diagnostic_context: 2023-07-07T20:05:32.3038082Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3038608Z [2023-07-07 20:03:23,622] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_159]. 2023-07-07T20:05:32.3038871Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3038885Z 2023-07-07T20:05:32.3039250Z [2023-07-07 20:03:23,622] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3039610Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3039623Z 2023-07-07T20:05:32.3039996Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3040506Z - self: 2023-07-07T20:05:32.3040889Z - node: fx.Node(unsqueeze_159[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3041080Z - aten_name: 2023-07-07T20:05:32.3041323Z - function_overloads: 2023-07-07T20:05:32.3041508Z - onnx_args: 2023-07-07T20:05:32.3041718Z - onnx_kwargs: 2023-07-07T20:05:32.3042200Z - diagnostic_context: 2023-07-07T20:05:32.3042578Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3043042Z [2023-07-07 20:03:23,630] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_4]. 2023-07-07T20:05:32.3043265Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3043279Z 2023-07-07T20:05:32.3043612Z [2023-07-07 20:03:23,630] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3043930Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3043992Z 2023-07-07T20:05:32.3044300Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3044904Z - self: 2023-07-07T20:05:32.3045209Z - node: fx.Node(cat_4[call_function]'aten.cat.default') 2023-07-07T20:05:32.3045415Z - aten_name: 2023-07-07T20:05:32.3045652Z - function_overloads: 2023-07-07T20:05:32.3045839Z - onnx_args: 2023-07-07T20:05:32.3046034Z - onnx_kwargs: 2023-07-07T20:05:32.3046534Z - diagnostic_context: 2023-07-07T20:05:32.3046782Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.3047227Z [2023-07-07 20:03:23,632] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_2]. 2023-07-07T20:05:32.3047468Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3047479Z 2023-07-07T20:05:32.3047816Z [2023-07-07 20:03:23,632] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3048198Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3048210Z 2023-07-07T20:05:32.3048535Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3049003Z - self: 2023-07-07T20:05:32.3049279Z - node: fx.Node(sym_size_2[call_function]'aten.sym_size') 2023-07-07T20:05:32.3049447Z - aten_name: 2023-07-07T20:05:32.3049659Z - function_overloads: 2023-07-07T20:05:32.3049844Z - onnx_args: 2023-07-07T20:05:32.3050031Z - onnx_kwargs: 2023-07-07T20:05:32.3050513Z - diagnostic_context: 2023-07-07T20:05:32.3050764Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.3051179Z [2023-07-07 20:03:23,634] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_3]. 2023-07-07T20:05:32.3051394Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3051405Z 2023-07-07T20:05:32.3051750Z [2023-07-07 20:03:23,634] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3052100Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3052116Z 2023-07-07T20:05:32.3052431Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3052897Z - self: 2023-07-07T20:05:32.3053338Z - node: fx.Node(sym_size_3[call_function]'aten.sym_size') 2023-07-07T20:05:32.3053523Z - aten_name: 2023-07-07T20:05:32.3053734Z - function_overloads: 2023-07-07T20:05:32.3053899Z - onnx_args: 2023-07-07T20:05:32.3054086Z - onnx_kwargs: 2023-07-07T20:05:32.3054588Z - diagnostic_context: 2023-07-07T20:05:32.3054846Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.3055299Z [2023-07-07 20:03:23,637] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_4]. 2023-07-07T20:05:32.3055637Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3055702Z 2023-07-07T20:05:32.3056055Z [2023-07-07 20:03:23,638] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3056407Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3056417Z 2023-07-07T20:05:32.3056725Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3057263Z - self: 2023-07-07T20:05:32.3057601Z - node: fx.Node(transpose_4[call_function]'aten.transpose.int') 2023-07-07T20:05:32.3057796Z - aten_name: 2023-07-07T20:05:32.3058019Z - function_overloads: 2023-07-07T20:05:32.3058220Z - onnx_args: 2023-07-07T20:05:32.3058417Z - onnx_kwargs: 2023-07-07T20:05:32.3058920Z - diagnostic_context: 2023-07-07T20:05:32.3059292Z - Return value: 2023-07-07T20:05:32.3059690Z [2023-07-07 20:03:23,639] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_4]. 2023-07-07T20:05:32.3059896Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3059914Z 2023-07-07T20:05:32.3060209Z [2023-07-07 20:03:23,639] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3060535Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3060547Z 2023-07-07T20:05:32.3060901Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3061420Z - self: 2023-07-07T20:05:32.3061772Z - node: fx.Node(clone_4[call_function]'aten.clone.default') 2023-07-07T20:05:32.3061967Z - aten_name: 2023-07-07T20:05:32.3062206Z - function_overloads: 2023-07-07T20:05:32.3062427Z - onnx_args: 2023-07-07T20:05:32.3062649Z - onnx_kwargs: 2023-07-07T20:05:32.3063112Z - diagnostic_context: 2023-07-07T20:05:32.3063371Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.3063821Z [2023-07-07 20:03:23,643] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_3]. 2023-07-07T20:05:32.3064072Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3064083Z 2023-07-07T20:05:32.3064400Z [2023-07-07 20:03:23,643] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3064731Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3064745Z 2023-07-07T20:05:32.3065067Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3065528Z - self: 2023-07-07T20:05:32.3065846Z - node: fx.Node(split_3[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.3066036Z - aten_name: 2023-07-07T20:05:32.3066254Z - function_overloads: 2023-07-07T20:05:32.3066545Z - onnx_args: 2023-07-07T20:05:32.3066750Z - onnx_kwargs: 2023-07-07T20:05:32.3067288Z - diagnostic_context: 2023-07-07T20:05:32.3067549Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.3068021Z [2023-07-07 20:03:23,645] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_8]. 2023-07-07T20:05:32.3068255Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3068345Z 2023-07-07T20:05:32.3068690Z [2023-07-07 20:03:23,645] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3069086Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3069099Z 2023-07-07T20:05:32.3069415Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3069898Z - self: 2023-07-07T20:05:32.3070298Z - node: fx.Node(getitem_8[call_function]'') 2023-07-07T20:05:32.3070496Z - aten_name: 2023-07-07T20:05:32.3070727Z - function_overloads: 2023-07-07T20:05:32.3070922Z - onnx_args: 2023-07-07T20:05:32.3071138Z - onnx_kwargs: 2023-07-07T20:05:32.3071672Z - diagnostic_context: 2023-07-07T20:05:32.3071937Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3072398Z [2023-07-07 20:03:23,646] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_9]. 2023-07-07T20:05:32.3072656Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3072669Z 2023-07-07T20:05:32.3073022Z [2023-07-07 20:03:23,646] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3073383Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3073397Z 2023-07-07T20:05:32.3073715Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3074196Z - self: 2023-07-07T20:05:32.3074517Z - node: fx.Node(getitem_9[call_function]'') 2023-07-07T20:05:32.3074781Z - aten_name: 2023-07-07T20:05:32.3075002Z - function_overloads: 2023-07-07T20:05:32.3075182Z - onnx_args: 2023-07-07T20:05:32.3075374Z - onnx_kwargs: 2023-07-07T20:05:32.3075889Z - diagnostic_context: 2023-07-07T20:05:32.3076148Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3076643Z [2023-07-07 20:03:23,647] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_20]. 2023-07-07T20:05:32.3076887Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3076903Z 2023-07-07T20:05:32.3077241Z [2023-07-07 20:03:23,647] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3077588Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3077597Z 2023-07-07T20:05:32.3077892Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3078380Z - self: 2023-07-07T20:05:32.3078749Z - node: fx.Node(convolution_20[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3078938Z - aten_name: 2023-07-07T20:05:32.3079153Z - function_overloads: 2023-07-07T20:05:32.3079359Z - onnx_args: 2023-07-07T20:05:32.3079559Z - onnx_kwargs: 2023-07-07T20:05:32.3080170Z - diagnostic_context: 2023-07-07T20:05:32.3080521Z - Return value: 2023-07-07T20:05:32.3081080Z [2023-07-07 20:03:23,650] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_40]. 2023-07-07T20:05:32.3081344Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3081354Z 2023-07-07T20:05:32.3081712Z [2023-07-07 20:03:23,651] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3082169Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3082181Z 2023-07-07T20:05:32.3082494Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3082980Z - self: 2023-07-07T20:05:32.3083415Z - node: fx.Node(convert_element_type_40[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3083699Z - aten_name: 2023-07-07T20:05:32.3083906Z - function_overloads: 2023-07-07T20:05:32.3084100Z - onnx_args: 2023-07-07T20:05:32.3084300Z - onnx_kwargs: 2023-07-07T20:05:32.3085072Z - diagnostic_context: 2023-07-07T20:05:32.3085388Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3085923Z [2023-07-07 20:03:23,652] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_41]. 2023-07-07T20:05:32.3086199Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3086209Z 2023-07-07T20:05:32.3086533Z [2023-07-07 20:03:23,652] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3086887Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3086902Z 2023-07-07T20:05:32.3087228Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3087724Z - self: 2023-07-07T20:05:32.3088149Z - node: fx.Node(convert_element_type_41[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3088346Z - aten_name: 2023-07-07T20:05:32.3088566Z - function_overloads: 2023-07-07T20:05:32.3088780Z - onnx_args: 2023-07-07T20:05:32.3088993Z - onnx_kwargs: 2023-07-07T20:05:32.3089518Z - diagnostic_context: 2023-07-07T20:05:32.3089845Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3090312Z [2023-07-07 20:03:23,656] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_20]. 2023-07-07T20:05:32.3090558Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3090569Z 2023-07-07T20:05:32.3090923Z [2023-07-07 20:03:23,656] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3091296Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3091307Z 2023-07-07T20:05:32.3091637Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3092073Z - self: 2023-07-07T20:05:32.3092385Z - node: fx.Node(tensor_int_20[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3092559Z - aten_name: 2023-07-07T20:05:32.3092771Z - function_overloads: 2023-07-07T20:05:32.3092972Z - onnx_args: 2023-07-07T20:05:32.3093286Z - onnx_kwargs: 2023-07-07T20:05:32.3093781Z - diagnostic_context: 2023-07-07T20:05:32.3094047Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3094533Z [2023-07-07 20:03:23,661] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_160]. 2023-07-07T20:05:32.3094766Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3094776Z 2023-07-07T20:05:32.3095132Z [2023-07-07 20:03:23,661] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3095630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3095641Z 2023-07-07T20:05:32.3095964Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3096436Z - self: 2023-07-07T20:05:32.3096800Z - node: fx.Node(unsqueeze_160[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3097062Z - aten_name: 2023-07-07T20:05:32.3097277Z - function_overloads: 2023-07-07T20:05:32.3097454Z - onnx_args: 2023-07-07T20:05:32.3097667Z - onnx_kwargs: 2023-07-07T20:05:32.3098225Z - diagnostic_context: 2023-07-07T20:05:32.3098509Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3098980Z [2023-07-07 20:03:23,662] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_161]. 2023-07-07T20:05:32.3099243Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3099254Z 2023-07-07T20:05:32.3099612Z [2023-07-07 20:03:23,662] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3099968Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3099978Z 2023-07-07T20:05:32.3100312Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3100761Z - self: 2023-07-07T20:05:32.3101136Z - node: fx.Node(unsqueeze_161[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3101354Z - aten_name: 2023-07-07T20:05:32.3101579Z - function_overloads: 2023-07-07T20:05:32.3101787Z - onnx_args: 2023-07-07T20:05:32.3102006Z - onnx_kwargs: 2023-07-07T20:05:32.3102546Z - diagnostic_context: 2023-07-07T20:05:32.3102826Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3103265Z [2023-07-07 20:03:23,663] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_162]. 2023-07-07T20:05:32.3103509Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3103518Z 2023-07-07T20:05:32.3103843Z [2023-07-07 20:03:23,663] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3104210Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3104221Z 2023-07-07T20:05:32.3104542Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3105004Z - self: 2023-07-07T20:05:32.3105394Z - node: fx.Node(unsqueeze_162[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3105603Z - aten_name: 2023-07-07T20:05:32.3105830Z - function_overloads: 2023-07-07T20:05:32.3106031Z - onnx_args: 2023-07-07T20:05:32.3106245Z - onnx_kwargs: 2023-07-07T20:05:32.3106890Z - diagnostic_context: 2023-07-07T20:05:32.3107168Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3107685Z [2023-07-07 20:03:23,664] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_163]. 2023-07-07T20:05:32.3107942Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3107953Z 2023-07-07T20:05:32.3108310Z [2023-07-07 20:03:23,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3108659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3108745Z 2023-07-07T20:05:32.3109116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3109623Z - self: 2023-07-07T20:05:32.3110002Z - node: fx.Node(unsqueeze_163[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3110214Z - aten_name: 2023-07-07T20:05:32.3110459Z - function_overloads: 2023-07-07T20:05:32.3110716Z - onnx_args: 2023-07-07T20:05:32.3110909Z - onnx_kwargs: 2023-07-07T20:05:32.3111443Z - diagnostic_context: 2023-07-07T20:05:32.3111734Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3112225Z [2023-07-07 20:03:23,668] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_164]. 2023-07-07T20:05:32.3112468Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3112478Z 2023-07-07T20:05:32.3112826Z [2023-07-07 20:03:23,668] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3113194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3113205Z 2023-07-07T20:05:32.3113507Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3113959Z - self: 2023-07-07T20:05:32.3114323Z - node: fx.Node(unsqueeze_164[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3114507Z - aten_name: 2023-07-07T20:05:32.3114841Z - function_overloads: 2023-07-07T20:05:32.3115023Z - onnx_args: 2023-07-07T20:05:32.3115210Z - onnx_kwargs: 2023-07-07T20:05:32.3115770Z - diagnostic_context: 2023-07-07T20:05:32.3116063Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3116566Z [2023-07-07 20:03:23,669] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_165]. 2023-07-07T20:05:32.3116811Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3116839Z 2023-07-07T20:05:32.3117200Z [2023-07-07 20:03:23,669] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3117587Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3117597Z 2023-07-07T20:05:32.3117940Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3118432Z - self: 2023-07-07T20:05:32.3118782Z - node: fx.Node(unsqueeze_165[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3118985Z - aten_name: 2023-07-07T20:05:32.3119233Z - function_overloads: 2023-07-07T20:05:32.3119451Z - onnx_args: 2023-07-07T20:05:32.3119618Z - onnx_kwargs: 2023-07-07T20:05:32.3120085Z - diagnostic_context: 2023-07-07T20:05:32.3120359Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3120936Z [2023-07-07 20:03:23,672] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_166]. 2023-07-07T20:05:32.3121178Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3121190Z 2023-07-07T20:05:32.3121514Z [2023-07-07 20:03:23,672] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3121877Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3121887Z 2023-07-07T20:05:32.3122286Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3122843Z - self: 2023-07-07T20:05:32.3123178Z - node: fx.Node(unsqueeze_166[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3123369Z - aten_name: 2023-07-07T20:05:32.3123604Z - function_overloads: 2023-07-07T20:05:32.3123816Z - onnx_args: 2023-07-07T20:05:32.3124021Z - onnx_kwargs: 2023-07-07T20:05:32.3124852Z - diagnostic_context: 2023-07-07T20:05:32.3125166Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3125660Z [2023-07-07 20:03:23,673] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_167]. 2023-07-07T20:05:32.3125914Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3125926Z 2023-07-07T20:05:32.3126267Z [2023-07-07 20:03:23,673] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3126620Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3126631Z 2023-07-07T20:05:32.3126937Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3127399Z - self: 2023-07-07T20:05:32.3127767Z - node: fx.Node(unsqueeze_167[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3127964Z - aten_name: 2023-07-07T20:05:32.3128199Z - function_overloads: 2023-07-07T20:05:32.3128382Z - onnx_args: 2023-07-07T20:05:32.3128576Z - onnx_kwargs: 2023-07-07T20:05:32.3129082Z - diagnostic_context: 2023-07-07T20:05:32.3129353Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3129848Z [2023-07-07 20:03:23,680] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_21]. 2023-07-07T20:05:32.3130095Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3130106Z 2023-07-07T20:05:32.3130449Z [2023-07-07 20:03:23,680] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3130807Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3130823Z 2023-07-07T20:05:32.3131138Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3131601Z - self: 2023-07-07T20:05:32.3131981Z - node: fx.Node(convolution_21[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3132191Z - aten_name: 2023-07-07T20:05:32.3132430Z - function_overloads: 2023-07-07T20:05:32.3132625Z - onnx_args: 2023-07-07T20:05:32.3132840Z - onnx_kwargs: 2023-07-07T20:05:32.3133388Z - diagnostic_context: 2023-07-07T20:05:32.3133787Z - Return value: 2023-07-07T20:05:32.3134536Z [2023-07-07 20:03:23,683] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_42]. 2023-07-07T20:05:32.3134848Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3134860Z 2023-07-07T20:05:32.3135232Z [2023-07-07 20:03:23,683] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3135613Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3135623Z 2023-07-07T20:05:32.3135970Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3136602Z - self: 2023-07-07T20:05:32.3137064Z - node: fx.Node(convert_element_type_42[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3137279Z - aten_name: 2023-07-07T20:05:32.3137503Z - function_overloads: 2023-07-07T20:05:32.3137721Z - onnx_args: 2023-07-07T20:05:32.3137946Z - onnx_kwargs: 2023-07-07T20:05:32.3138580Z - diagnostic_context: 2023-07-07T20:05:32.3138907Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3139484Z [2023-07-07 20:03:23,684] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_43]. 2023-07-07T20:05:32.3139783Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3139799Z 2023-07-07T20:05:32.3140170Z [2023-07-07 20:03:23,684] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3140531Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3140542Z 2023-07-07T20:05:32.3140887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3141406Z - self: 2023-07-07T20:05:32.3141874Z - node: fx.Node(convert_element_type_43[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3142083Z - aten_name: 2023-07-07T20:05:32.3142325Z - function_overloads: 2023-07-07T20:05:32.3142520Z - onnx_args: 2023-07-07T20:05:32.3142719Z - onnx_kwargs: 2023-07-07T20:05:32.3143220Z - diagnostic_context: 2023-07-07T20:05:32.3143535Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3143924Z [2023-07-07 20:03:23,689] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_21]. 2023-07-07T20:05:32.3144150Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3144159Z 2023-07-07T20:05:32.3144479Z [2023-07-07 20:03:23,689] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3144785Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3144799Z 2023-07-07T20:05:32.3145087Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3145654Z - self: 2023-07-07T20:05:32.3146030Z - node: fx.Node(tensor_int_21[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3146249Z - aten_name: 2023-07-07T20:05:32.3146520Z - function_overloads: 2023-07-07T20:05:32.3146758Z - onnx_args: 2023-07-07T20:05:32.3146996Z - onnx_kwargs: 2023-07-07T20:05:32.3147591Z - diagnostic_context: 2023-07-07T20:05:32.3147910Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3148641Z [2023-07-07 20:03:23,693] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_168]. 2023-07-07T20:05:32.3148908Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3148926Z 2023-07-07T20:05:32.3149335Z [2023-07-07 20:03:23,693] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3149735Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3149747Z 2023-07-07T20:05:32.3150125Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3150746Z - self: 2023-07-07T20:05:32.3151197Z - node: fx.Node(unsqueeze_168[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3151429Z - aten_name: 2023-07-07T20:05:32.3151707Z - function_overloads: 2023-07-07T20:05:32.3151923Z - onnx_args: 2023-07-07T20:05:32.3152155Z - onnx_kwargs: 2023-07-07T20:05:32.3152791Z - diagnostic_context: 2023-07-07T20:05:32.3153194Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3153848Z [2023-07-07 20:03:23,694] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_169]. 2023-07-07T20:05:32.3154114Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3154128Z 2023-07-07T20:05:32.3154479Z [2023-07-07 20:03:23,694] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3154936Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3154946Z 2023-07-07T20:05:32.3155272Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3155740Z - self: 2023-07-07T20:05:32.3156098Z - node: fx.Node(unsqueeze_169[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3156297Z - aten_name: 2023-07-07T20:05:32.3156537Z - function_overloads: 2023-07-07T20:05:32.3156748Z - onnx_args: 2023-07-07T20:05:32.3156940Z - onnx_kwargs: 2023-07-07T20:05:32.3157491Z - diagnostic_context: 2023-07-07T20:05:32.3157768Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3158249Z [2023-07-07 20:03:23,695] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_170]. 2023-07-07T20:05:32.3158513Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3158523Z 2023-07-07T20:05:32.3158871Z [2023-07-07 20:03:23,696] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3159199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3159211Z 2023-07-07T20:05:32.3159527Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3159946Z - self: 2023-07-07T20:05:32.3160307Z - node: fx.Node(unsqueeze_170[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3160502Z - aten_name: 2023-07-07T20:05:32.3160706Z - function_overloads: 2023-07-07T20:05:32.3160901Z - onnx_args: 2023-07-07T20:05:32.3161087Z - onnx_kwargs: 2023-07-07T20:05:32.3161647Z - diagnostic_context: 2023-07-07T20:05:32.3161946Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3162466Z [2023-07-07 20:03:23,697] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_171]. 2023-07-07T20:05:32.3162827Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3162838Z 2023-07-07T20:05:32.3163214Z [2023-07-07 20:03:23,697] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3163509Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3163534Z 2023-07-07T20:05:32.3163805Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3164230Z - self: 2023-07-07T20:05:32.3164787Z - node: fx.Node(unsqueeze_171[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3165069Z - aten_name: 2023-07-07T20:05:32.3165269Z - function_overloads: 2023-07-07T20:05:32.3165453Z - onnx_args: 2023-07-07T20:05:32.3165662Z - onnx_kwargs: 2023-07-07T20:05:32.3166206Z - diagnostic_context: 2023-07-07T20:05:32.3166483Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3167062Z [2023-07-07 20:03:23,701] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_172]. 2023-07-07T20:05:32.3167322Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3167333Z 2023-07-07T20:05:32.3167692Z [2023-07-07 20:03:23,701] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3168060Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3168076Z 2023-07-07T20:05:32.3168360Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3168826Z - self: 2023-07-07T20:05:32.3169180Z - node: fx.Node(unsqueeze_172[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3169363Z - aten_name: 2023-07-07T20:05:32.3169594Z - function_overloads: 2023-07-07T20:05:32.3169799Z - onnx_args: 2023-07-07T20:05:32.3170009Z - onnx_kwargs: 2023-07-07T20:05:32.3170556Z - diagnostic_context: 2023-07-07T20:05:32.3170836Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3171331Z [2023-07-07 20:03:23,702] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_173]. 2023-07-07T20:05:32.3171569Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3171595Z 2023-07-07T20:05:32.3171939Z [2023-07-07 20:03:23,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3172289Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3172298Z 2023-07-07T20:05:32.3172605Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3173096Z - self: 2023-07-07T20:05:32.3173471Z - node: fx.Node(unsqueeze_173[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3173676Z - aten_name: 2023-07-07T20:05:32.3173915Z - function_overloads: 2023-07-07T20:05:32.3174123Z - onnx_args: 2023-07-07T20:05:32.3174322Z - onnx_kwargs: 2023-07-07T20:05:32.3174876Z - diagnostic_context: 2023-07-07T20:05:32.3175174Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3175690Z [2023-07-07 20:03:23,705] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_174]. 2023-07-07T20:05:32.3175945Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3175956Z 2023-07-07T20:05:32.3176428Z [2023-07-07 20:03:23,705] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3176807Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3176819Z 2023-07-07T20:05:32.3177149Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3177645Z - self: 2023-07-07T20:05:32.3178033Z - node: fx.Node(unsqueeze_174[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3178299Z - aten_name: 2023-07-07T20:05:32.3178541Z - function_overloads: 2023-07-07T20:05:32.3178818Z - onnx_args: 2023-07-07T20:05:32.3179039Z - onnx_kwargs: 2023-07-07T20:05:32.3179605Z - diagnostic_context: 2023-07-07T20:05:32.3179889Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3180397Z [2023-07-07 20:03:23,706] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_175]. 2023-07-07T20:05:32.3180704Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3180716Z 2023-07-07T20:05:32.3181083Z [2023-07-07 20:03:23,706] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3181441Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3181451Z 2023-07-07T20:05:32.3181790Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3182298Z - self: 2023-07-07T20:05:32.3182675Z - node: fx.Node(unsqueeze_175[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3182882Z - aten_name: 2023-07-07T20:05:32.3183110Z - function_overloads: 2023-07-07T20:05:32.3183322Z - onnx_args: 2023-07-07T20:05:32.3183532Z - onnx_kwargs: 2023-07-07T20:05:32.3184104Z - diagnostic_context: 2023-07-07T20:05:32.3184368Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3184864Z [2023-07-07 20:03:23,709] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_22]. 2023-07-07T20:05:32.3185105Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3185116Z 2023-07-07T20:05:32.3185492Z [2023-07-07 20:03:23,709] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3185858Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3185869Z 2023-07-07T20:05:32.3186187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3186666Z - self: 2023-07-07T20:05:32.3187060Z - node: fx.Node(convolution_22[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3187265Z - aten_name: 2023-07-07T20:05:32.3187506Z - function_overloads: 2023-07-07T20:05:32.3187712Z - onnx_args: 2023-07-07T20:05:32.3187923Z - onnx_kwargs: 2023-07-07T20:05:32.3188449Z - diagnostic_context: 2023-07-07T20:05:32.3188825Z - Return value: 2023-07-07T20:05:32.3189400Z [2023-07-07 20:03:23,712] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_44]. 2023-07-07T20:05:32.3189679Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3189691Z 2023-07-07T20:05:32.3190036Z [2023-07-07 20:03:23,712] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3190486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3190503Z 2023-07-07T20:05:32.3190830Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3191305Z - self: 2023-07-07T20:05:32.3191737Z - node: fx.Node(convert_element_type_44[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3191983Z - aten_name: 2023-07-07T20:05:32.3192226Z - function_overloads: 2023-07-07T20:05:32.3192437Z - onnx_args: 2023-07-07T20:05:32.3192693Z - onnx_kwargs: 2023-07-07T20:05:32.3193254Z - diagnostic_context: 2023-07-07T20:05:32.3193585Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3194159Z [2023-07-07 20:03:23,713] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_45]. 2023-07-07T20:05:32.3194502Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3194514Z 2023-07-07T20:05:32.3194944Z [2023-07-07 20:03:23,713] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3195314Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3195324Z 2023-07-07T20:05:32.3195659Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3196152Z - self: 2023-07-07T20:05:32.3196590Z - node: fx.Node(convert_element_type_45[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3196796Z - aten_name: 2023-07-07T20:05:32.3197028Z - function_overloads: 2023-07-07T20:05:32.3197244Z - onnx_args: 2023-07-07T20:05:32.3197440Z - onnx_kwargs: 2023-07-07T20:05:32.3198002Z - diagnostic_context: 2023-07-07T20:05:32.3198343Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3198811Z [2023-07-07 20:03:23,718] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_22]. 2023-07-07T20:05:32.3199064Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3199079Z 2023-07-07T20:05:32.3199430Z [2023-07-07 20:03:23,718] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3199801Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3199812Z 2023-07-07T20:05:32.3200135Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3200583Z - self: 2023-07-07T20:05:32.3200903Z - node: fx.Node(tensor_int_22[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3201104Z - aten_name: 2023-07-07T20:05:32.3201342Z - function_overloads: 2023-07-07T20:05:32.3201547Z - onnx_args: 2023-07-07T20:05:32.3201763Z - onnx_kwargs: 2023-07-07T20:05:32.3202320Z - diagnostic_context: 2023-07-07T20:05:32.3202607Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3203113Z [2023-07-07 20:03:23,723] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_176]. 2023-07-07T20:05:32.3203351Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3203361Z 2023-07-07T20:05:32.3203714Z [2023-07-07 20:03:23,723] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3204156Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3204173Z 2023-07-07T20:05:32.3204653Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3205158Z - self: 2023-07-07T20:05:32.3205528Z - node: fx.Node(unsqueeze_176[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3205714Z - aten_name: 2023-07-07T20:05:32.3206046Z - function_overloads: 2023-07-07T20:05:32.3206237Z - onnx_args: 2023-07-07T20:05:32.3206502Z - onnx_kwargs: 2023-07-07T20:05:32.3207059Z - diagnostic_context: 2023-07-07T20:05:32.3207354Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3207877Z [2023-07-07 20:03:23,724] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_177]. 2023-07-07T20:05:32.3208189Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3208200Z 2023-07-07T20:05:32.3208553Z [2023-07-07 20:03:23,724] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3208924Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3208934Z 2023-07-07T20:05:32.3209267Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3209751Z - self: 2023-07-07T20:05:32.3210133Z - node: fx.Node(unsqueeze_177[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3210340Z - aten_name: 2023-07-07T20:05:32.3210580Z - function_overloads: 2023-07-07T20:05:32.3210785Z - onnx_args: 2023-07-07T20:05:32.3210998Z - onnx_kwargs: 2023-07-07T20:05:32.3211528Z - diagnostic_context: 2023-07-07T20:05:32.3211801Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3212310Z [2023-07-07 20:03:23,725] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_178]. 2023-07-07T20:05:32.3212563Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3212573Z 2023-07-07T20:05:32.3212918Z [2023-07-07 20:03:23,725] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3213281Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3213295Z 2023-07-07T20:05:32.3213628Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3214112Z - self: 2023-07-07T20:05:32.3214486Z - node: fx.Node(unsqueeze_178[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3214696Z - aten_name: 2023-07-07T20:05:32.3214917Z - function_overloads: 2023-07-07T20:05:32.3215129Z - onnx_args: 2023-07-07T20:05:32.3215338Z - onnx_kwargs: 2023-07-07T20:05:32.3215890Z - diagnostic_context: 2023-07-07T20:05:32.3216170Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3216677Z [2023-07-07 20:03:23,726] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_179]. 2023-07-07T20:05:32.3216941Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3216952Z 2023-07-07T20:05:32.3217312Z [2023-07-07 20:03:23,726] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3217663Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3217802Z 2023-07-07T20:05:32.3218125Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3218609Z - self: 2023-07-07T20:05:32.3218970Z - node: fx.Node(unsqueeze_179[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3219175Z - aten_name: 2023-07-07T20:05:32.3219415Z - function_overloads: 2023-07-07T20:05:32.3219623Z - onnx_args: 2023-07-07T20:05:32.3219899Z - onnx_kwargs: 2023-07-07T20:05:32.3220471Z - diagnostic_context: 2023-07-07T20:05:32.3220760Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3221273Z [2023-07-07 20:03:23,730] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_180]. 2023-07-07T20:05:32.3221537Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3221548Z 2023-07-07T20:05:32.3221965Z [2023-07-07 20:03:23,730] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3222332Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3222343Z 2023-07-07T20:05:32.3222679Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3223166Z - self: 2023-07-07T20:05:32.3223548Z - node: fx.Node(unsqueeze_180[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3223749Z - aten_name: 2023-07-07T20:05:32.3223993Z - function_overloads: 2023-07-07T20:05:32.3224205Z - onnx_args: 2023-07-07T20:05:32.3224422Z - onnx_kwargs: 2023-07-07T20:05:32.3224995Z - diagnostic_context: 2023-07-07T20:05:32.3225287Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3225808Z [2023-07-07 20:03:23,731] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_181]. 2023-07-07T20:05:32.3226054Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3226082Z 2023-07-07T20:05:32.3226425Z [2023-07-07 20:03:23,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3226797Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3226812Z 2023-07-07T20:05:32.3227145Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3227649Z - self: 2023-07-07T20:05:32.3228036Z - node: fx.Node(unsqueeze_181[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3228245Z - aten_name: 2023-07-07T20:05:32.3228487Z - function_overloads: 2023-07-07T20:05:32.3228700Z - onnx_args: 2023-07-07T20:05:32.3228896Z - onnx_kwargs: 2023-07-07T20:05:32.3229448Z - diagnostic_context: 2023-07-07T20:05:32.3229733Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3230242Z [2023-07-07 20:03:23,734] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_182]. 2023-07-07T20:05:32.3230505Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3230515Z 2023-07-07T20:05:32.3230881Z [2023-07-07 20:03:23,734] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3231235Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3231246Z 2023-07-07T20:05:32.3231683Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3232171Z - self: 2023-07-07T20:05:32.3232549Z - node: fx.Node(unsqueeze_182[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3232751Z - aten_name: 2023-07-07T20:05:32.3232992Z - function_overloads: 2023-07-07T20:05:32.3233203Z - onnx_args: 2023-07-07T20:05:32.3233411Z - onnx_kwargs: 2023-07-07T20:05:32.3233963Z - diagnostic_context: 2023-07-07T20:05:32.3234302Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3234918Z [2023-07-07 20:03:23,735] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_183]. 2023-07-07T20:05:32.3235175Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3235186Z 2023-07-07T20:05:32.3235540Z [2023-07-07 20:03:23,735] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3235898Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3235962Z 2023-07-07T20:05:32.3236291Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3236779Z - self: 2023-07-07T20:05:32.3237157Z - node: fx.Node(unsqueeze_183[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3237357Z - aten_name: 2023-07-07T20:05:32.3237577Z - function_overloads: 2023-07-07T20:05:32.3237790Z - onnx_args: 2023-07-07T20:05:32.3237996Z - onnx_kwargs: 2023-07-07T20:05:32.3238545Z - diagnostic_context: 2023-07-07T20:05:32.3238839Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3239291Z [2023-07-07 20:03:23,741] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_5]. 2023-07-07T20:05:32.3239530Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3239542Z 2023-07-07T20:05:32.3239894Z [2023-07-07 20:03:23,741] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3240242Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3240271Z 2023-07-07T20:05:32.3240583Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3241081Z - self: 2023-07-07T20:05:32.3241381Z - node: fx.Node(cat_5[call_function]'aten.cat.default') 2023-07-07T20:05:32.3241583Z - aten_name: 2023-07-07T20:05:32.3241816Z - function_overloads: 2023-07-07T20:05:32.3242026Z - onnx_args: 2023-07-07T20:05:32.3242242Z - onnx_kwargs: 2023-07-07T20:05:32.3242787Z - diagnostic_context: 2023-07-07T20:05:32.3243052Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.3243533Z [2023-07-07 20:03:23,744] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_5]. 2023-07-07T20:05:32.3243792Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3243804Z 2023-07-07T20:05:32.3244157Z [2023-07-07 20:03:23,744] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3244734Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3244746Z 2023-07-07T20:05:32.3245089Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3245575Z - self: 2023-07-07T20:05:32.3246052Z - node: fx.Node(transpose_5[call_function]'aten.transpose.int') 2023-07-07T20:05:32.3246258Z - aten_name: 2023-07-07T20:05:32.3246502Z - function_overloads: 2023-07-07T20:05:32.3246709Z - onnx_args: 2023-07-07T20:05:32.3246912Z - onnx_kwargs: 2023-07-07T20:05:32.3247462Z - diagnostic_context: 2023-07-07T20:05:32.3247853Z - Return value: 2023-07-07T20:05:32.3248392Z [2023-07-07 20:03:23,745] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_5]. 2023-07-07T20:05:32.3248667Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3248696Z 2023-07-07T20:05:32.3249044Z [2023-07-07 20:03:23,745] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3249414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3249425Z 2023-07-07T20:05:32.3249853Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3250340Z - self: 2023-07-07T20:05:32.3250681Z - node: fx.Node(clone_5[call_function]'aten.clone.default') 2023-07-07T20:05:32.3250890Z - aten_name: 2023-07-07T20:05:32.3251128Z - function_overloads: 2023-07-07T20:05:32.3251334Z - onnx_args: 2023-07-07T20:05:32.3251533Z - onnx_kwargs: 2023-07-07T20:05:32.3252104Z - diagnostic_context: 2023-07-07T20:05:32.3252372Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.3252826Z [2023-07-07 20:03:23,748] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_4]. 2023-07-07T20:05:32.3253072Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3253083Z 2023-07-07T20:05:32.3253454Z [2023-07-07 20:03:23,748] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3253829Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3253840Z 2023-07-07T20:05:32.3254169Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3254644Z - self: 2023-07-07T20:05:32.3254988Z - node: fx.Node(split_4[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.3255193Z - aten_name: 2023-07-07T20:05:32.3255438Z - function_overloads: 2023-07-07T20:05:32.3255653Z - onnx_args: 2023-07-07T20:05:32.3255862Z - onnx_kwargs: 2023-07-07T20:05:32.3256428Z - diagnostic_context: 2023-07-07T20:05:32.3256710Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.3257190Z [2023-07-07 20:03:23,749] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_10]. 2023-07-07T20:05:32.3257438Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3257449Z 2023-07-07T20:05:32.3257802Z [2023-07-07 20:03:23,749] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3258174Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3258188Z 2023-07-07T20:05:32.3258502Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3258989Z - self: 2023-07-07T20:05:32.3259362Z - node: fx.Node(getitem_10[call_function]'') 2023-07-07T20:05:32.3259574Z - aten_name: 2023-07-07T20:05:32.3259889Z - function_overloads: 2023-07-07T20:05:32.3260110Z - onnx_args: 2023-07-07T20:05:32.3260325Z - onnx_kwargs: 2023-07-07T20:05:32.3260881Z - diagnostic_context: 2023-07-07T20:05:32.3261157Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3261654Z [2023-07-07 20:03:23,750] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_11]. 2023-07-07T20:05:32.3261905Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3261965Z 2023-07-07T20:05:32.3262370Z [2023-07-07 20:03:23,750] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3262727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3262753Z 2023-07-07T20:05:32.3263074Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3263580Z - self: 2023-07-07T20:05:32.3264004Z - node: fx.Node(getitem_11[call_function]'') 2023-07-07T20:05:32.3264211Z - aten_name: 2023-07-07T20:05:32.3264455Z - function_overloads: 2023-07-07T20:05:32.3264669Z - onnx_args: 2023-07-07T20:05:32.3264892Z - onnx_kwargs: 2023-07-07T20:05:32.3265457Z - diagnostic_context: 2023-07-07T20:05:32.3265727Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3266233Z [2023-07-07 20:03:23,752] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_23]. 2023-07-07T20:05:32.3266497Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3266508Z 2023-07-07T20:05:32.3266867Z [2023-07-07 20:03:23,752] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3267230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3267248Z 2023-07-07T20:05:32.3267577Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3268073Z - self: 2023-07-07T20:05:32.3268464Z - node: fx.Node(convolution_23[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3268662Z - aten_name: 2023-07-07T20:05:32.3268901Z - function_overloads: 2023-07-07T20:05:32.3269117Z - onnx_args: 2023-07-07T20:05:32.3269329Z - onnx_kwargs: 2023-07-07T20:05:32.3269880Z - diagnostic_context: 2023-07-07T20:05:32.3270272Z - Return value: 2023-07-07T20:05:32.3270841Z [2023-07-07 20:03:23,755] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_46]. 2023-07-07T20:05:32.3271136Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3271146Z 2023-07-07T20:05:32.3271496Z [2023-07-07 20:03:23,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3271865Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3271876Z 2023-07-07T20:05:32.3272209Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3272707Z - self: 2023-07-07T20:05:32.3273122Z - node: fx.Node(convert_element_type_46[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3273315Z - aten_name: 2023-07-07T20:05:32.3273643Z - function_overloads: 2023-07-07T20:05:32.3273859Z - onnx_args: 2023-07-07T20:05:32.3274058Z - onnx_kwargs: 2023-07-07T20:05:32.3274701Z - diagnostic_context: 2023-07-07T20:05:32.3275039Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3275599Z [2023-07-07 20:03:23,756] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_47]. 2023-07-07T20:05:32.3275890Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3275963Z 2023-07-07T20:05:32.3276386Z [2023-07-07 20:03:23,756] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3276749Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3276761Z 2023-07-07T20:05:32.3277099Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3277605Z - self: 2023-07-07T20:05:32.3278099Z - node: fx.Node(convert_element_type_47[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3278274Z - aten_name: 2023-07-07T20:05:32.3278497Z - function_overloads: 2023-07-07T20:05:32.3278704Z - onnx_args: 2023-07-07T20:05:32.3278913Z - onnx_kwargs: 2023-07-07T20:05:32.3279453Z - diagnostic_context: 2023-07-07T20:05:32.3279787Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3280250Z [2023-07-07 20:03:23,761] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_23]. 2023-07-07T20:05:32.3280487Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3280500Z 2023-07-07T20:05:32.3280856Z [2023-07-07 20:03:23,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3281215Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3281226Z 2023-07-07T20:05:32.3281561Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3282051Z - self: 2023-07-07T20:05:32.3282403Z - node: fx.Node(tensor_int_23[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3282618Z - aten_name: 2023-07-07T20:05:32.3282862Z - function_overloads: 2023-07-07T20:05:32.3283067Z - onnx_args: 2023-07-07T20:05:32.3283283Z - onnx_kwargs: 2023-07-07T20:05:32.3283838Z - diagnostic_context: 2023-07-07T20:05:32.3284128Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3284843Z [2023-07-07 20:03:23,766] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_184]. 2023-07-07T20:05:32.3285102Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3285114Z 2023-07-07T20:05:32.3285468Z [2023-07-07 20:03:23,766] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3285828Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3285840Z 2023-07-07T20:05:32.3286167Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3286632Z - self: 2023-07-07T20:05:32.3286996Z - node: fx.Node(unsqueeze_184[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3287194Z - aten_name: 2023-07-07T20:05:32.3287431Z - function_overloads: 2023-07-07T20:05:32.3287762Z - onnx_args: 2023-07-07T20:05:32.3287986Z - onnx_kwargs: 2023-07-07T20:05:32.3288539Z - diagnostic_context: 2023-07-07T20:05:32.3288808Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3289317Z [2023-07-07 20:03:23,767] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_185]. 2023-07-07T20:05:32.3289581Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3289595Z 2023-07-07T20:05:32.3290013Z [2023-07-07 20:03:23,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3290447Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3290459Z 2023-07-07T20:05:32.3290796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3291303Z - self: 2023-07-07T20:05:32.3291743Z - node: fx.Node(unsqueeze_185[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3291949Z - aten_name: 2023-07-07T20:05:32.3292179Z - function_overloads: 2023-07-07T20:05:32.3292387Z - onnx_args: 2023-07-07T20:05:32.3292594Z - onnx_kwargs: 2023-07-07T20:05:32.3293138Z - diagnostic_context: 2023-07-07T20:05:32.3293422Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3293932Z [2023-07-07 20:03:23,768] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_186]. 2023-07-07T20:05:32.3294187Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3294199Z 2023-07-07T20:05:32.3294554Z [2023-07-07 20:03:23,768] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3294912Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3294926Z 2023-07-07T20:05:32.3295251Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3295737Z - self: 2023-07-07T20:05:32.3296108Z - node: fx.Node(unsqueeze_186[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3296315Z - aten_name: 2023-07-07T20:05:32.3296559Z - function_overloads: 2023-07-07T20:05:32.3296774Z - onnx_args: 2023-07-07T20:05:32.3296982Z - onnx_kwargs: 2023-07-07T20:05:32.3297478Z - diagnostic_context: 2023-07-07T20:05:32.3297760Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3298279Z [2023-07-07 20:03:23,769] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_187]. 2023-07-07T20:05:32.3298538Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3298552Z 2023-07-07T20:05:32.3298900Z [2023-07-07 20:03:23,769] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3299259Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3299269Z 2023-07-07T20:05:32.3299594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3300080Z - self: 2023-07-07T20:05:32.3300456Z - node: fx.Node(unsqueeze_187[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3300647Z - aten_name: 2023-07-07T20:05:32.3300887Z - function_overloads: 2023-07-07T20:05:32.3301099Z - onnx_args: 2023-07-07T20:05:32.3301317Z - onnx_kwargs: 2023-07-07T20:05:32.3301958Z - diagnostic_context: 2023-07-07T20:05:32.3302260Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3302742Z [2023-07-07 20:03:23,773] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_188]. 2023-07-07T20:05:32.3302968Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3302979Z 2023-07-07T20:05:32.3303306Z [2023-07-07 20:03:23,773] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3303692Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3303701Z 2023-07-07T20:05:32.3304047Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3304507Z - self: 2023-07-07T20:05:32.3304836Z - node: fx.Node(unsqueeze_188[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3305019Z - aten_name: 2023-07-07T20:05:32.3305321Z - function_overloads: 2023-07-07T20:05:32.3305513Z - onnx_args: 2023-07-07T20:05:32.3305715Z - onnx_kwargs: 2023-07-07T20:05:32.3306246Z - diagnostic_context: 2023-07-07T20:05:32.3306533Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3307041Z [2023-07-07 20:03:23,774] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_189]. 2023-07-07T20:05:32.3307300Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3307315Z 2023-07-07T20:05:32.3307675Z [2023-07-07 20:03:23,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3308042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3308053Z 2023-07-07T20:05:32.3308397Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3308866Z - self: 2023-07-07T20:05:32.3309228Z - node: fx.Node(unsqueeze_189[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3309436Z - aten_name: 2023-07-07T20:05:32.3309673Z - function_overloads: 2023-07-07T20:05:32.3309883Z - onnx_args: 2023-07-07T20:05:32.3310099Z - onnx_kwargs: 2023-07-07T20:05:32.3310641Z - diagnostic_context: 2023-07-07T20:05:32.3310904Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3311409Z [2023-07-07 20:03:23,777] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_190]. 2023-07-07T20:05:32.3311665Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3311679Z 2023-07-07T20:05:32.3312038Z [2023-07-07 20:03:23,777] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3312406Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3312418Z 2023-07-07T20:05:32.3312749Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3313250Z - self: 2023-07-07T20:05:32.3313641Z - node: fx.Node(unsqueeze_190[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3313846Z - aten_name: 2023-07-07T20:05:32.3314075Z - function_overloads: 2023-07-07T20:05:32.3314280Z - onnx_args: 2023-07-07T20:05:32.3314469Z - onnx_kwargs: 2023-07-07T20:05:32.3315079Z - diagnostic_context: 2023-07-07T20:05:32.3315424Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3315851Z [2023-07-07 20:03:23,778] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_191]. 2023-07-07T20:05:32.3316085Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3316096Z 2023-07-07T20:05:32.3316435Z [2023-07-07 20:03:23,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3316769Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3316877Z 2023-07-07T20:05:32.3317230Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3317686Z - self: 2023-07-07T20:05:32.3318016Z - node: fx.Node(unsqueeze_191[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3318211Z - aten_name: 2023-07-07T20:05:32.3318454Z - function_overloads: 2023-07-07T20:05:32.3318663Z - onnx_args: 2023-07-07T20:05:32.3318938Z - onnx_kwargs: 2023-07-07T20:05:32.3319508Z - diagnostic_context: 2023-07-07T20:05:32.3319807Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3320343Z [2023-07-07 20:03:23,785] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_24]. 2023-07-07T20:05:32.3320575Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3320593Z 2023-07-07T20:05:32.3320926Z [2023-07-07 20:03:23,785] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3321282Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3321292Z 2023-07-07T20:05:32.3321622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3322084Z - self: 2023-07-07T20:05:32.3322475Z - node: fx.Node(convolution_24[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3322658Z - aten_name: 2023-07-07T20:05:32.3322897Z - function_overloads: 2023-07-07T20:05:32.3323108Z - onnx_args: 2023-07-07T20:05:32.3323309Z - onnx_kwargs: 2023-07-07T20:05:32.3323855Z - diagnostic_context: 2023-07-07T20:05:32.3324239Z - Return value: 2023-07-07T20:05:32.3324966Z [2023-07-07 20:03:23,788] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_48]. 2023-07-07T20:05:32.3325264Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3325277Z 2023-07-07T20:05:32.3325631Z [2023-07-07 20:03:23,788] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3326004Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3326014Z 2023-07-07T20:05:32.3326339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3326828Z - self: 2023-07-07T20:05:32.3327253Z - node: fx.Node(convert_element_type_48[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3327469Z - aten_name: 2023-07-07T20:05:32.3327712Z - function_overloads: 2023-07-07T20:05:32.3327919Z - onnx_args: 2023-07-07T20:05:32.3328106Z - onnx_kwargs: 2023-07-07T20:05:32.3328652Z - diagnostic_context: 2023-07-07T20:05:32.3329130Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3329698Z [2023-07-07 20:03:23,789] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_49]. 2023-07-07T20:05:32.3329989Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3330001Z 2023-07-07T20:05:32.3330364Z [2023-07-07 20:03:23,789] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3330729Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3330812Z 2023-07-07T20:05:32.3331200Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3331690Z - self: 2023-07-07T20:05:32.3332051Z - node: fx.Node(convert_element_type_49[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3332263Z - aten_name: 2023-07-07T20:05:32.3332461Z - function_overloads: 2023-07-07T20:05:32.3332709Z - onnx_args: 2023-07-07T20:05:32.3332891Z - onnx_kwargs: 2023-07-07T20:05:32.3333378Z - diagnostic_context: 2023-07-07T20:05:32.3333704Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3334109Z [2023-07-07 20:03:23,794] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_24]. 2023-07-07T20:05:32.3334359Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3334371Z 2023-07-07T20:05:32.3334717Z [2023-07-07 20:03:23,794] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3335086Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3335097Z 2023-07-07T20:05:32.3335443Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3335946Z - self: 2023-07-07T20:05:32.3336258Z - node: fx.Node(tensor_int_24[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3336438Z - aten_name: 2023-07-07T20:05:32.3336677Z - function_overloads: 2023-07-07T20:05:32.3336871Z - onnx_args: 2023-07-07T20:05:32.3337079Z - onnx_kwargs: 2023-07-07T20:05:32.3337640Z - diagnostic_context: 2023-07-07T20:05:32.3337930Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3338445Z [2023-07-07 20:03:23,798] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_192]. 2023-07-07T20:05:32.3338704Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3338715Z 2023-07-07T20:05:32.3339077Z [2023-07-07 20:03:23,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3339458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3339469Z 2023-07-07T20:05:32.3339818Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3340297Z - self: 2023-07-07T20:05:32.3340681Z - node: fx.Node(unsqueeze_192[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3340892Z - aten_name: 2023-07-07T20:05:32.3341133Z - function_overloads: 2023-07-07T20:05:32.3341349Z - onnx_args: 2023-07-07T20:05:32.3341559Z - onnx_kwargs: 2023-07-07T20:05:32.3342129Z - diagnostic_context: 2023-07-07T20:05:32.3342406Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3343002Z [2023-07-07 20:03:23,800] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_193]. 2023-07-07T20:05:32.3343273Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3343283Z 2023-07-07T20:05:32.3343659Z [2023-07-07 20:03:23,800] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3344034Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3344045Z 2023-07-07T20:05:32.3344386Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3344969Z - self: 2023-07-07T20:05:32.3345356Z - node: fx.Node(unsqueeze_193[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3345568Z - aten_name: 2023-07-07T20:05:32.3345796Z - function_overloads: 2023-07-07T20:05:32.3346012Z - onnx_args: 2023-07-07T20:05:32.3346233Z - onnx_kwargs: 2023-07-07T20:05:32.3346854Z - diagnostic_context: 2023-07-07T20:05:32.3347146Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3347665Z [2023-07-07 20:03:23,801] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_194]. 2023-07-07T20:05:32.3347930Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3347941Z 2023-07-07T20:05:32.3348305Z [2023-07-07 20:03:23,801] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3348591Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3348601Z 2023-07-07T20:05:32.3348911Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3349377Z - self: 2023-07-07T20:05:32.3349704Z - node: fx.Node(unsqueeze_194[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3349883Z - aten_name: 2023-07-07T20:05:32.3350082Z - function_overloads: 2023-07-07T20:05:32.3350247Z - onnx_args: 2023-07-07T20:05:32.3350435Z - onnx_kwargs: 2023-07-07T20:05:32.3350916Z - diagnostic_context: 2023-07-07T20:05:32.3351180Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3351664Z [2023-07-07 20:03:23,802] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_195]. 2023-07-07T20:05:32.3351894Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3351904Z 2023-07-07T20:05:32.3352221Z [2023-07-07 20:03:23,802] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3352554Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3352567Z 2023-07-07T20:05:32.3352871Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3353331Z - self: 2023-07-07T20:05:32.3353682Z - node: fx.Node(unsqueeze_195[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3353868Z - aten_name: 2023-07-07T20:05:32.3354095Z - function_overloads: 2023-07-07T20:05:32.3354310Z - onnx_args: 2023-07-07T20:05:32.3354506Z - onnx_kwargs: 2023-07-07T20:05:32.3355174Z - diagnostic_context: 2023-07-07T20:05:32.3355444Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3355994Z [2023-07-07 20:03:23,806] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_196]. 2023-07-07T20:05:32.3356214Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3356228Z 2023-07-07T20:05:32.3356567Z [2023-07-07 20:03:23,806] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3356882Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3356891Z 2023-07-07T20:05:32.3357220Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3357755Z - self: 2023-07-07T20:05:32.3358225Z - node: fx.Node(unsqueeze_196[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3358422Z - aten_name: 2023-07-07T20:05:32.3358647Z - function_overloads: 2023-07-07T20:05:32.3358830Z - onnx_args: 2023-07-07T20:05:32.3359030Z - onnx_kwargs: 2023-07-07T20:05:32.3359558Z - diagnostic_context: 2023-07-07T20:05:32.3359899Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3360399Z [2023-07-07 20:03:23,807] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_197]. 2023-07-07T20:05:32.3360648Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3360661Z 2023-07-07T20:05:32.3361006Z [2023-07-07 20:03:23,807] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3361366Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3361377Z 2023-07-07T20:05:32.3361700Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3362177Z - self: 2023-07-07T20:05:32.3362555Z - node: fx.Node(unsqueeze_197[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3362759Z - aten_name: 2023-07-07T20:05:32.3362982Z - function_overloads: 2023-07-07T20:05:32.3363192Z - onnx_args: 2023-07-07T20:05:32.3363402Z - onnx_kwargs: 2023-07-07T20:05:32.3363973Z - diagnostic_context: 2023-07-07T20:05:32.3364246Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3364905Z [2023-07-07 20:03:23,810] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_198]. 2023-07-07T20:05:32.3365181Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3365197Z 2023-07-07T20:05:32.3365567Z [2023-07-07 20:03:23,810] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3365929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3365941Z 2023-07-07T20:05:32.3366267Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3366743Z - self: 2023-07-07T20:05:32.3367099Z - node: fx.Node(unsqueeze_198[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3367294Z - aten_name: 2023-07-07T20:05:32.3367518Z - function_overloads: 2023-07-07T20:05:32.3367706Z - onnx_args: 2023-07-07T20:05:32.3367915Z - onnx_kwargs: 2023-07-07T20:05:32.3368445Z - diagnostic_context: 2023-07-07T20:05:32.3368737Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3369253Z [2023-07-07 20:03:23,811] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_199]. 2023-07-07T20:05:32.3369504Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3369632Z 2023-07-07T20:05:32.3369979Z [2023-07-07 20:03:23,811] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3370310Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3370337Z 2023-07-07T20:05:32.3370654Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3371135Z - self: 2023-07-07T20:05:32.3371615Z - node: fx.Node(unsqueeze_199[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3371817Z - aten_name: 2023-07-07T20:05:32.3372145Z - function_overloads: 2023-07-07T20:05:32.3372358Z - onnx_args: 2023-07-07T20:05:32.3372569Z - onnx_kwargs: 2023-07-07T20:05:32.3373112Z - diagnostic_context: 2023-07-07T20:05:32.3373410Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3373993Z [2023-07-07 20:03:23,814] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_25]. 2023-07-07T20:05:32.3374234Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3374245Z 2023-07-07T20:05:32.3374565Z [2023-07-07 20:03:23,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3374916Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3374932Z 2023-07-07T20:05:32.3375235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3375688Z - self: 2023-07-07T20:05:32.3376058Z - node: fx.Node(convolution_25[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3376233Z - aten_name: 2023-07-07T20:05:32.3376473Z - function_overloads: 2023-07-07T20:05:32.3376680Z - onnx_args: 2023-07-07T20:05:32.3376892Z - onnx_kwargs: 2023-07-07T20:05:32.3377421Z - diagnostic_context: 2023-07-07T20:05:32.3377799Z - Return value: 2023-07-07T20:05:32.3378355Z [2023-07-07 20:03:23,817] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_50]. 2023-07-07T20:05:32.3378619Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3378647Z 2023-07-07T20:05:32.3378994Z [2023-07-07 20:03:23,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3379347Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3379358Z 2023-07-07T20:05:32.3379688Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3380163Z - self: 2023-07-07T20:05:32.3380589Z - node: fx.Node(convert_element_type_50[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3380802Z - aten_name: 2023-07-07T20:05:32.3381045Z - function_overloads: 2023-07-07T20:05:32.3381251Z - onnx_args: 2023-07-07T20:05:32.3381450Z - onnx_kwargs: 2023-07-07T20:05:32.3381999Z - diagnostic_context: 2023-07-07T20:05:32.3382322Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3384450Z [2023-07-07 20:03:23,818] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_51]. 2023-07-07T20:05:32.3390967Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3391066Z 2023-07-07T20:05:32.3391432Z [2023-07-07 20:03:23,818] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3391790Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3391803Z 2023-07-07T20:05:32.3392114Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3392561Z - self: 2023-07-07T20:05:32.3392987Z - node: fx.Node(convert_element_type_51[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3393225Z - aten_name: 2023-07-07T20:05:32.3393453Z - function_overloads: 2023-07-07T20:05:32.3393667Z - onnx_args: 2023-07-07T20:05:32.3393866Z - onnx_kwargs: 2023-07-07T20:05:32.3394435Z - diagnostic_context: 2023-07-07T20:05:32.3394895Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3395377Z [2023-07-07 20:03:23,822] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_25]. 2023-07-07T20:05:32.3395608Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3395635Z 2023-07-07T20:05:32.3395962Z [2023-07-07 20:03:23,822] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3396312Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3396321Z 2023-07-07T20:05:32.3396626Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3397090Z - self: 2023-07-07T20:05:32.3397414Z - node: fx.Node(tensor_int_25[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3397609Z - aten_name: 2023-07-07T20:05:32.3397818Z - function_overloads: 2023-07-07T20:05:32.3397999Z - onnx_args: 2023-07-07T20:05:32.3398172Z - onnx_kwargs: 2023-07-07T20:05:32.3398670Z - diagnostic_context: 2023-07-07T20:05:32.3398959Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3399462Z [2023-07-07 20:03:23,828] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_200]. 2023-07-07T20:05:32.3399716Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3399729Z 2023-07-07T20:05:32.3400080Z [2023-07-07 20:03:23,828] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3400465Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3400476Z 2023-07-07T20:05:32.3400818Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3401294Z - self: 2023-07-07T20:05:32.3401651Z - node: fx.Node(unsqueeze_200[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3401853Z - aten_name: 2023-07-07T20:05:32.3402076Z - function_overloads: 2023-07-07T20:05:32.3402265Z - onnx_args: 2023-07-07T20:05:32.3402463Z - onnx_kwargs: 2023-07-07T20:05:32.3403007Z - diagnostic_context: 2023-07-07T20:05:32.3403286Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3403775Z [2023-07-07 20:03:23,829] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_201]. 2023-07-07T20:05:32.3404119Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3404175Z 2023-07-07T20:05:32.3404770Z [2023-07-07 20:03:23,829] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3405119Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3405130Z 2023-07-07T20:05:32.3405451Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3405931Z - self: 2023-07-07T20:05:32.3406319Z - node: fx.Node(unsqueeze_201[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3406516Z - aten_name: 2023-07-07T20:05:32.3406724Z - function_overloads: 2023-07-07T20:05:32.3406998Z - onnx_args: 2023-07-07T20:05:32.3407208Z - onnx_kwargs: 2023-07-07T20:05:32.3407751Z - diagnostic_context: 2023-07-07T20:05:32.3408046Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3408553Z [2023-07-07 20:03:23,830] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_202]. 2023-07-07T20:05:32.3408796Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3408808Z 2023-07-07T20:05:32.3409143Z [2023-07-07 20:03:23,830] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3409471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3409497Z 2023-07-07T20:05:32.3409806Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3410292Z - self: 2023-07-07T20:05:32.3410666Z - node: fx.Node(unsqueeze_202[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3410867Z - aten_name: 2023-07-07T20:05:32.3411101Z - function_overloads: 2023-07-07T20:05:32.3411308Z - onnx_args: 2023-07-07T20:05:32.3411516Z - onnx_kwargs: 2023-07-07T20:05:32.3412025Z - diagnostic_context: 2023-07-07T20:05:32.3412298Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3412805Z [2023-07-07 20:03:23,831] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_203]. 2023-07-07T20:05:32.3413065Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3413077Z 2023-07-07T20:05:32.3413423Z [2023-07-07 20:03:23,831] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3413774Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3413790Z 2023-07-07T20:05:32.3414113Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3414615Z - self: 2023-07-07T20:05:32.3414992Z - node: fx.Node(unsqueeze_203[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3415177Z - aten_name: 2023-07-07T20:05:32.3415398Z - function_overloads: 2023-07-07T20:05:32.3415601Z - onnx_args: 2023-07-07T20:05:32.3415806Z - onnx_kwargs: 2023-07-07T20:05:32.3416370Z - diagnostic_context: 2023-07-07T20:05:32.3416659Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3417176Z [2023-07-07 20:03:23,835] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_204]. 2023-07-07T20:05:32.3417443Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3417599Z 2023-07-07T20:05:32.3417943Z [2023-07-07 20:03:23,835] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3418361Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3418373Z 2023-07-07T20:05:32.3418662Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3419135Z - self: 2023-07-07T20:05:32.3419519Z - node: fx.Node(unsqueeze_204[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3419721Z - aten_name: 2023-07-07T20:05:32.3419960Z - function_overloads: 2023-07-07T20:05:32.3420166Z - onnx_args: 2023-07-07T20:05:32.3420360Z - onnx_kwargs: 2023-07-07T20:05:32.3420971Z - diagnostic_context: 2023-07-07T20:05:32.3421265Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3421777Z [2023-07-07 20:03:23,836] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_205]. 2023-07-07T20:05:32.3422043Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3422054Z 2023-07-07T20:05:32.3422403Z [2023-07-07 20:03:23,836] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3422751Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3422762Z 2023-07-07T20:05:32.3423103Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3423613Z - self: 2023-07-07T20:05:32.3423990Z - node: fx.Node(unsqueeze_205[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3424199Z - aten_name: 2023-07-07T20:05:32.3424447Z - function_overloads: 2023-07-07T20:05:32.3424664Z - onnx_args: 2023-07-07T20:05:32.3424890Z - onnx_kwargs: 2023-07-07T20:05:32.3425443Z - diagnostic_context: 2023-07-07T20:05:32.3425707Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3426188Z [2023-07-07 20:03:23,839] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_206]. 2023-07-07T20:05:32.3426448Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3426458Z 2023-07-07T20:05:32.3426808Z [2023-07-07 20:03:23,839] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3427158Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3427169Z 2023-07-07T20:05:32.3427481Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3427977Z - self: 2023-07-07T20:05:32.3428384Z - node: fx.Node(unsqueeze_206[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3428591Z - aten_name: 2023-07-07T20:05:32.3428829Z - function_overloads: 2023-07-07T20:05:32.3429017Z - onnx_args: 2023-07-07T20:05:32.3429227Z - onnx_kwargs: 2023-07-07T20:05:32.3429763Z - diagnostic_context: 2023-07-07T20:05:32.3430038Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3430530Z [2023-07-07 20:03:23,840] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_207]. 2023-07-07T20:05:32.3430790Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3430807Z 2023-07-07T20:05:32.3431169Z [2023-07-07 20:03:23,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3431626Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3431686Z 2023-07-07T20:05:32.3432029Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3432523Z - self: 2023-07-07T20:05:32.3432864Z - node: fx.Node(unsqueeze_207[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3433044Z - aten_name: 2023-07-07T20:05:32.3433278Z - function_overloads: 2023-07-07T20:05:32.3433479Z - onnx_args: 2023-07-07T20:05:32.3433682Z - onnx_kwargs: 2023-07-07T20:05:32.3434207Z - diagnostic_context: 2023-07-07T20:05:32.3434537Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3435077Z [2023-07-07 20:03:23,846] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_6]. 2023-07-07T20:05:32.3435308Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3435325Z 2023-07-07T20:05:32.3435667Z [2023-07-07 20:03:23,846] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3436019Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3436028Z 2023-07-07T20:05:32.3436347Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3436824Z - self: 2023-07-07T20:05:32.3437112Z - node: fx.Node(cat_6[call_function]'aten.cat.default') 2023-07-07T20:05:32.3437279Z - aten_name: 2023-07-07T20:05:32.3437492Z - function_overloads: 2023-07-07T20:05:32.3437680Z - onnx_args: 2023-07-07T20:05:32.3437870Z - onnx_kwargs: 2023-07-07T20:05:32.3438374Z - diagnostic_context: 2023-07-07T20:05:32.3438632Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.3439069Z [2023-07-07 20:03:23,849] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_6]. 2023-07-07T20:05:32.3439296Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3439307Z 2023-07-07T20:05:32.3439634Z [2023-07-07 20:03:23,849] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3439961Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3439971Z 2023-07-07T20:05:32.3440272Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3440722Z - self: 2023-07-07T20:05:32.3441055Z - node: fx.Node(transpose_6[call_function]'aten.transpose.int') 2023-07-07T20:05:32.3441248Z - aten_name: 2023-07-07T20:05:32.3441465Z - function_overloads: 2023-07-07T20:05:32.3441674Z - onnx_args: 2023-07-07T20:05:32.3441862Z - onnx_kwargs: 2023-07-07T20:05:32.3442405Z - diagnostic_context: 2023-07-07T20:05:32.3442768Z - Return value: 2023-07-07T20:05:32.3443210Z [2023-07-07 20:03:23,850] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_6]. 2023-07-07T20:05:32.3443446Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3443456Z 2023-07-07T20:05:32.3443790Z [2023-07-07 20:03:23,850] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3444153Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3444269Z 2023-07-07T20:05:32.3444718Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3445348Z - self: 2023-07-07T20:05:32.3445670Z - node: fx.Node(clone_6[call_function]'aten.clone.default') 2023-07-07T20:05:32.3445874Z - aten_name: 2023-07-07T20:05:32.3446113Z - function_overloads: 2023-07-07T20:05:32.3446287Z - onnx_args: 2023-07-07T20:05:32.3446479Z - onnx_kwargs: 2023-07-07T20:05:32.3447059Z - diagnostic_context: 2023-07-07T20:05:32.3447301Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.3447735Z [2023-07-07 20:03:23,853] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_5]. 2023-07-07T20:05:32.3448046Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3448064Z 2023-07-07T20:05:32.3448398Z [2023-07-07 20:03:23,853] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3448736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3448745Z 2023-07-07T20:05:32.3449054Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3449554Z - self: 2023-07-07T20:05:32.3449900Z - node: fx.Node(split_5[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.3450111Z - aten_name: 2023-07-07T20:05:32.3450360Z - function_overloads: 2023-07-07T20:05:32.3450566Z - onnx_args: 2023-07-07T20:05:32.3450772Z - onnx_kwargs: 2023-07-07T20:05:32.3451336Z - diagnostic_context: 2023-07-07T20:05:32.3451599Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.3452089Z [2023-07-07 20:03:23,854] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_12]. 2023-07-07T20:05:32.3452340Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3452350Z 2023-07-07T20:05:32.3452686Z [2023-07-07 20:03:23,854] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3453029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3453040Z 2023-07-07T20:05:32.3453352Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3453831Z - self: 2023-07-07T20:05:32.3454178Z - node: fx.Node(getitem_12[call_function]'') 2023-07-07T20:05:32.3454379Z - aten_name: 2023-07-07T20:05:32.3454600Z - function_overloads: 2023-07-07T20:05:32.3454788Z - onnx_args: 2023-07-07T20:05:32.3454991Z - onnx_kwargs: 2023-07-07T20:05:32.3455524Z - diagnostic_context: 2023-07-07T20:05:32.3455771Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3456225Z [2023-07-07 20:03:23,855] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_13]. 2023-07-07T20:05:32.3456485Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3456495Z 2023-07-07T20:05:32.3456831Z [2023-07-07 20:03:23,855] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3457186Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3457197Z 2023-07-07T20:05:32.3457545Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3458165Z - self: 2023-07-07T20:05:32.3458572Z - node: fx.Node(getitem_13[call_function]'') 2023-07-07T20:05:32.3458825Z - aten_name: 2023-07-07T20:05:32.3459050Z - function_overloads: 2023-07-07T20:05:32.3459253Z - onnx_args: 2023-07-07T20:05:32.3459458Z - onnx_kwargs: 2023-07-07T20:05:32.3459935Z - diagnostic_context: 2023-07-07T20:05:32.3460176Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3460664Z [2023-07-07 20:03:23,857] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_26]. 2023-07-07T20:05:32.3460916Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3460929Z 2023-07-07T20:05:32.3461335Z [2023-07-07 20:03:23,857] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3461693Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3461709Z 2023-07-07T20:05:32.3462042Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3462518Z - self: 2023-07-07T20:05:32.3462885Z - node: fx.Node(convolution_26[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3463082Z - aten_name: 2023-07-07T20:05:32.3463323Z - function_overloads: 2023-07-07T20:05:32.3463537Z - onnx_args: 2023-07-07T20:05:32.3463729Z - onnx_kwargs: 2023-07-07T20:05:32.3464278Z - diagnostic_context: 2023-07-07T20:05:32.3464661Z - Return value: 2023-07-07T20:05:32.3465221Z [2023-07-07 20:03:23,860] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_52]. 2023-07-07T20:05:32.3465499Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3465511Z 2023-07-07T20:05:32.3465864Z [2023-07-07 20:03:23,860] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3466197Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3466208Z 2023-07-07T20:05:32.3466522Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3467012Z - self: 2023-07-07T20:05:32.3467443Z - node: fx.Node(convert_element_type_52[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3467650Z - aten_name: 2023-07-07T20:05:32.3467882Z - function_overloads: 2023-07-07T20:05:32.3468097Z - onnx_args: 2023-07-07T20:05:32.3468294Z - onnx_kwargs: 2023-07-07T20:05:32.3468819Z - diagnostic_context: 2023-07-07T20:05:32.3469152Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3469723Z [2023-07-07 20:03:23,861] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_53]. 2023-07-07T20:05:32.3469998Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3470011Z 2023-07-07T20:05:32.3470384Z [2023-07-07 20:03:23,861] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3470757Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3470768Z 2023-07-07T20:05:32.3471094Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3471701Z - self: 2023-07-07T20:05:32.3472244Z - node: fx.Node(convert_element_type_53[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3472428Z - aten_name: 2023-07-07T20:05:32.3472644Z - function_overloads: 2023-07-07T20:05:32.3472841Z - onnx_args: 2023-07-07T20:05:32.3473036Z - onnx_kwargs: 2023-07-07T20:05:32.3473574Z - diagnostic_context: 2023-07-07T20:05:32.3473906Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3474381Z [2023-07-07 20:03:23,865] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_26]. 2023-07-07T20:05:32.3474738Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3474822Z 2023-07-07T20:05:32.3475186Z [2023-07-07 20:03:23,865] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3475561Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3475576Z 2023-07-07T20:05:32.3475909Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3476373Z - self: 2023-07-07T20:05:32.3476720Z - node: fx.Node(tensor_int_26[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3476924Z - aten_name: 2023-07-07T20:05:32.3477163Z - function_overloads: 2023-07-07T20:05:32.3477371Z - onnx_args: 2023-07-07T20:05:32.3477589Z - onnx_kwargs: 2023-07-07T20:05:32.3478150Z - diagnostic_context: 2023-07-07T20:05:32.3478432Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3478924Z [2023-07-07 20:03:23,870] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_208]. 2023-07-07T20:05:32.3479192Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3479208Z 2023-07-07T20:05:32.3479569Z [2023-07-07 20:03:23,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3479940Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3479952Z 2023-07-07T20:05:32.3480296Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3480779Z - self: 2023-07-07T20:05:32.3481149Z - node: fx.Node(unsqueeze_208[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3481343Z - aten_name: 2023-07-07T20:05:32.3481580Z - function_overloads: 2023-07-07T20:05:32.3481792Z - onnx_args: 2023-07-07T20:05:32.3482004Z - onnx_kwargs: 2023-07-07T20:05:32.3482520Z - diagnostic_context: 2023-07-07T20:05:32.3482797Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3483282Z [2023-07-07 20:03:23,871] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_209]. 2023-07-07T20:05:32.3483540Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3483552Z 2023-07-07T20:05:32.3483894Z [2023-07-07 20:03:23,871] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3484216Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3484240Z 2023-07-07T20:05:32.3484709Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3485174Z - self: 2023-07-07T20:05:32.3485669Z - node: fx.Node(unsqueeze_209[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3485959Z - aten_name: 2023-07-07T20:05:32.3486250Z - function_overloads: 2023-07-07T20:05:32.3486463Z - onnx_args: 2023-07-07T20:05:32.3486681Z - onnx_kwargs: 2023-07-07T20:05:32.3487246Z - diagnostic_context: 2023-07-07T20:05:32.3487530Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3487993Z [2023-07-07 20:03:23,872] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_210]. 2023-07-07T20:05:32.3488238Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3488249Z 2023-07-07T20:05:32.3488666Z [2023-07-07 20:03:23,872] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3489028Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3489043Z 2023-07-07T20:05:32.3489381Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3489897Z - self: 2023-07-07T20:05:32.3490287Z - node: fx.Node(unsqueeze_210[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3490469Z - aten_name: 2023-07-07T20:05:32.3490702Z - function_overloads: 2023-07-07T20:05:32.3490916Z - onnx_args: 2023-07-07T20:05:32.3491126Z - onnx_kwargs: 2023-07-07T20:05:32.3491661Z - diagnostic_context: 2023-07-07T20:05:32.3491944Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3492437Z [2023-07-07 20:03:23,873] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_211]. 2023-07-07T20:05:32.3492676Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3492702Z 2023-07-07T20:05:32.3493050Z [2023-07-07 20:03:23,873] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3493404Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3493413Z 2023-07-07T20:05:32.3493729Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3494200Z - self: 2023-07-07T20:05:32.3494553Z - node: fx.Node(unsqueeze_211[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3494744Z - aten_name: 2023-07-07T20:05:32.3494972Z - function_overloads: 2023-07-07T20:05:32.3495163Z - onnx_args: 2023-07-07T20:05:32.3495356Z - onnx_kwargs: 2023-07-07T20:05:32.3495840Z - diagnostic_context: 2023-07-07T20:05:32.3496124Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3496597Z [2023-07-07 20:03:23,877] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_212]. 2023-07-07T20:05:32.3496850Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3496860Z 2023-07-07T20:05:32.3497222Z [2023-07-07 20:03:23,877] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3497576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3497587Z 2023-07-07T20:05:32.3497909Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3498386Z - self: 2023-07-07T20:05:32.3498734Z - node: fx.Node(unsqueeze_212[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3499067Z - aten_name: 2023-07-07T20:05:32.3499304Z - function_overloads: 2023-07-07T20:05:32.3499558Z - onnx_args: 2023-07-07T20:05:32.3499814Z - onnx_kwargs: 2023-07-07T20:05:32.3500374Z - diagnostic_context: 2023-07-07T20:05:32.3500660Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3501103Z [2023-07-07 20:03:23,878] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_213]. 2023-07-07T20:05:32.3501354Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3501366Z 2023-07-07T20:05:32.3501694Z [2023-07-07 20:03:23,878] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3502115Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3502130Z 2023-07-07T20:05:32.3502452Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3502921Z - self: 2023-07-07T20:05:32.3503263Z - node: fx.Node(unsqueeze_213[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3503466Z - aten_name: 2023-07-07T20:05:32.3503700Z - function_overloads: 2023-07-07T20:05:32.3503888Z - onnx_args: 2023-07-07T20:05:32.3504097Z - onnx_kwargs: 2023-07-07T20:05:32.3504628Z - diagnostic_context: 2023-07-07T20:05:32.3504907Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3505397Z [2023-07-07 20:03:23,881] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_214]. 2023-07-07T20:05:32.3505661Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3505676Z 2023-07-07T20:05:32.3506034Z [2023-07-07 20:03:23,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3506378Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3506392Z 2023-07-07T20:05:32.3506697Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3507174Z - self: 2023-07-07T20:05:32.3507543Z - node: fx.Node(unsqueeze_214[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3507723Z - aten_name: 2023-07-07T20:05:32.3507935Z - function_overloads: 2023-07-07T20:05:32.3508121Z - onnx_args: 2023-07-07T20:05:32.3508311Z - onnx_kwargs: 2023-07-07T20:05:32.3508792Z - diagnostic_context: 2023-07-07T20:05:32.3509070Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3509563Z [2023-07-07 20:03:23,882] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_215]. 2023-07-07T20:05:32.3509820Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3509833Z 2023-07-07T20:05:32.3510177Z [2023-07-07 20:03:23,882] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3510549Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3510559Z 2023-07-07T20:05:32.3510902Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3511430Z - self: 2023-07-07T20:05:32.3511820Z - node: fx.Node(unsqueeze_215[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3512019Z - aten_name: 2023-07-07T20:05:32.3512404Z - function_overloads: 2023-07-07T20:05:32.3512619Z - onnx_args: 2023-07-07T20:05:32.3512837Z - onnx_kwargs: 2023-07-07T20:05:32.3513488Z - diagnostic_context: 2023-07-07T20:05:32.3513792Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3514311Z [2023-07-07 20:03:23,889] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_27]. 2023-07-07T20:05:32.3514575Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3514584Z 2023-07-07T20:05:32.3515035Z [2023-07-07 20:03:23,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3515372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3515383Z 2023-07-07T20:05:32.3515795Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3516311Z - self: 2023-07-07T20:05:32.3516692Z - node: fx.Node(convolution_27[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3516905Z - aten_name: 2023-07-07T20:05:32.3517144Z - function_overloads: 2023-07-07T20:05:32.3517363Z - onnx_args: 2023-07-07T20:05:32.3517571Z - onnx_kwargs: 2023-07-07T20:05:32.3518163Z - diagnostic_context: 2023-07-07T20:05:32.3518537Z - Return value: 2023-07-07T20:05:32.3519102Z [2023-07-07 20:03:24,143] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_54]. 2023-07-07T20:05:32.3519400Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3519416Z 2023-07-07T20:05:32.3519785Z [2023-07-07 20:03:24,143] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3520161Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3520182Z 2023-07-07T20:05:32.3520536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3521021Z - self: 2023-07-07T20:05:32.3521441Z - node: fx.Node(convert_element_type_54[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3521660Z - aten_name: 2023-07-07T20:05:32.3521911Z - function_overloads: 2023-07-07T20:05:32.3522124Z - onnx_args: 2023-07-07T20:05:32.3522346Z - onnx_kwargs: 2023-07-07T20:05:32.3522900Z - diagnostic_context: 2023-07-07T20:05:32.3523230Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3523823Z [2023-07-07 20:03:24,144] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_55]. 2023-07-07T20:05:32.3524115Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3524126Z 2023-07-07T20:05:32.3524641Z [2023-07-07 20:03:24,145] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3525016Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3525029Z 2023-07-07T20:05:32.3525362Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3525852Z - self: 2023-07-07T20:05:32.3526318Z - node: fx.Node(convert_element_type_55[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3526534Z - aten_name: 2023-07-07T20:05:32.3526867Z - function_overloads: 2023-07-07T20:05:32.3527068Z - onnx_args: 2023-07-07T20:05:32.3527346Z - onnx_kwargs: 2023-07-07T20:05:32.3527988Z - diagnostic_context: 2023-07-07T20:05:32.3528326Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3528785Z [2023-07-07 20:03:24,149] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_27]. 2023-07-07T20:05:32.3529058Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3529069Z 2023-07-07T20:05:32.3529427Z [2023-07-07 20:03:24,149] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3529814Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3529826Z 2023-07-07T20:05:32.3530207Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3530682Z - self: 2023-07-07T20:05:32.3531050Z - node: fx.Node(tensor_int_27[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3531249Z - aten_name: 2023-07-07T20:05:32.3531509Z - function_overloads: 2023-07-07T20:05:32.3531727Z - onnx_args: 2023-07-07T20:05:32.3531926Z - onnx_kwargs: 2023-07-07T20:05:32.3532425Z - diagnostic_context: 2023-07-07T20:05:32.3532702Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3533217Z [2023-07-07 20:03:24,154] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_216]. 2023-07-07T20:05:32.3533471Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3533489Z 2023-07-07T20:05:32.3533863Z [2023-07-07 20:03:24,154] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3534260Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3534276Z 2023-07-07T20:05:32.3534638Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3535155Z - self: 2023-07-07T20:05:32.3535522Z - node: fx.Node(unsqueeze_216[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3535736Z - aten_name: 2023-07-07T20:05:32.3535961Z - function_overloads: 2023-07-07T20:05:32.3536180Z - onnx_args: 2023-07-07T20:05:32.3536406Z - onnx_kwargs: 2023-07-07T20:05:32.3536951Z - diagnostic_context: 2023-07-07T20:05:32.3537227Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3537732Z [2023-07-07 20:03:24,155] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_217]. 2023-07-07T20:05:32.3537981Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3537999Z 2023-07-07T20:05:32.3538322Z [2023-07-07 20:03:24,155] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3538654Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3538680Z 2023-07-07T20:05:32.3538985Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3539460Z - self: 2023-07-07T20:05:32.3539808Z - node: fx.Node(unsqueeze_217[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3539997Z - aten_name: 2023-07-07T20:05:32.3540230Z - function_overloads: 2023-07-07T20:05:32.3540533Z - onnx_args: 2023-07-07T20:05:32.3540735Z - onnx_kwargs: 2023-07-07T20:05:32.3541248Z - diagnostic_context: 2023-07-07T20:05:32.3541620Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3542112Z [2023-07-07 20:03:24,156] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_218]. 2023-07-07T20:05:32.3542365Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3542376Z 2023-07-07T20:05:32.3542708Z [2023-07-07 20:03:24,156] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3543057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3543067Z 2023-07-07T20:05:32.3543368Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3543902Z - self: 2023-07-07T20:05:32.3544275Z - node: fx.Node(unsqueeze_218[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3544467Z - aten_name: 2023-07-07T20:05:32.3544707Z - function_overloads: 2023-07-07T20:05:32.3544910Z - onnx_args: 2023-07-07T20:05:32.3545117Z - onnx_kwargs: 2023-07-07T20:05:32.3545651Z - diagnostic_context: 2023-07-07T20:05:32.3545931Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3546443Z [2023-07-07 20:03:24,157] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_219]. 2023-07-07T20:05:32.3546686Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3546714Z 2023-07-07T20:05:32.3547058Z [2023-07-07 20:03:24,157] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3547423Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3547436Z 2023-07-07T20:05:32.3547756Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3548230Z - self: 2023-07-07T20:05:32.3548577Z - node: fx.Node(unsqueeze_219[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3548766Z - aten_name: 2023-07-07T20:05:32.3549006Z - function_overloads: 2023-07-07T20:05:32.3549200Z - onnx_args: 2023-07-07T20:05:32.3549392Z - onnx_kwargs: 2023-07-07T20:05:32.3549943Z - diagnostic_context: 2023-07-07T20:05:32.3550221Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3550719Z [2023-07-07 20:03:24,161] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_220]. 2023-07-07T20:05:32.3550975Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3550992Z 2023-07-07T20:05:32.3551330Z [2023-07-07 20:03:24,162] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3551684Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3551694Z 2023-07-07T20:05:32.3551994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3552474Z - self: 2023-07-07T20:05:32.3552847Z - node: fx.Node(unsqueeze_220[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3553038Z - aten_name: 2023-07-07T20:05:32.3553258Z - function_overloads: 2023-07-07T20:05:32.3553479Z - onnx_args: 2023-07-07T20:05:32.3553704Z - onnx_kwargs: 2023-07-07T20:05:32.3554373Z - diagnostic_context: 2023-07-07T20:05:32.3554737Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3555294Z [2023-07-07 20:03:24,163] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_221]. 2023-07-07T20:05:32.3555571Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3555584Z 2023-07-07T20:05:32.3555946Z [2023-07-07 20:03:24,163] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3556280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3556291Z 2023-07-07T20:05:32.3556605Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3557067Z - self: 2023-07-07T20:05:32.3557491Z - node: fx.Node(unsqueeze_221[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3557702Z - aten_name: 2023-07-07T20:05:32.3557942Z - function_overloads: 2023-07-07T20:05:32.3558140Z - onnx_args: 2023-07-07T20:05:32.3558357Z - onnx_kwargs: 2023-07-07T20:05:32.3558927Z - diagnostic_context: 2023-07-07T20:05:32.3559223Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3559749Z [2023-07-07 20:03:24,165] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_222]. 2023-07-07T20:05:32.3560012Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3560023Z 2023-07-07T20:05:32.3560361Z [2023-07-07 20:03:24,165] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3560727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3560740Z 2023-07-07T20:05:32.3561000Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3561464Z - self: 2023-07-07T20:05:32.3561838Z - node: fx.Node(unsqueeze_222[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3562044Z - aten_name: 2023-07-07T20:05:32.3562277Z - function_overloads: 2023-07-07T20:05:32.3562478Z - onnx_args: 2023-07-07T20:05:32.3562693Z - onnx_kwargs: 2023-07-07T20:05:32.3563212Z - diagnostic_context: 2023-07-07T20:05:32.3563495Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3563999Z [2023-07-07 20:03:24,166] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_223]. 2023-07-07T20:05:32.3564264Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3564279Z 2023-07-07T20:05:32.3564795Z [2023-07-07 20:03:24,166] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3565136Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3565151Z 2023-07-07T20:05:32.3565457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3565913Z - self: 2023-07-07T20:05:32.3566276Z - node: fx.Node(unsqueeze_223[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3566463Z - aten_name: 2023-07-07T20:05:32.3566700Z - function_overloads: 2023-07-07T20:05:32.3566919Z - onnx_args: 2023-07-07T20:05:32.3567142Z - onnx_kwargs: 2023-07-07T20:05:32.3567734Z - diagnostic_context: 2023-07-07T20:05:32.3568175Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3568708Z [2023-07-07 20:03:24,169] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_28]. 2023-07-07T20:05:32.3569096Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3569108Z 2023-07-07T20:05:32.3569466Z [2023-07-07 20:03:24,169] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3569851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3569863Z 2023-07-07T20:05:32.3570211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3570723Z - self: 2023-07-07T20:05:32.3571127Z - node: fx.Node(convolution_28[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3571398Z - aten_name: 2023-07-07T20:05:32.3571656Z - function_overloads: 2023-07-07T20:05:32.3571872Z - onnx_args: 2023-07-07T20:05:32.3572073Z - onnx_kwargs: 2023-07-07T20:05:32.3572661Z - diagnostic_context: 2023-07-07T20:05:32.3573066Z - Return value: 2023-07-07T20:05:32.3573660Z [2023-07-07 20:03:24,172] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_56]. 2023-07-07T20:05:32.3573959Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3573970Z 2023-07-07T20:05:32.3574342Z [2023-07-07 20:03:24,173] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3574727Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3574738Z 2023-07-07T20:05:32.3575080Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3575579Z - self: 2023-07-07T20:05:32.3575997Z - node: fx.Node(convert_element_type_56[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3576200Z - aten_name: 2023-07-07T20:05:32.3576438Z - function_overloads: 2023-07-07T20:05:32.3576641Z - onnx_args: 2023-07-07T20:05:32.3576842Z - onnx_kwargs: 2023-07-07T20:05:32.3577363Z - diagnostic_context: 2023-07-07T20:05:32.3577700Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3578250Z [2023-07-07 20:03:24,174] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_57]. 2023-07-07T20:05:32.3578517Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3578530Z 2023-07-07T20:05:32.3578875Z [2023-07-07 20:03:24,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3579261Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3579273Z 2023-07-07T20:05:32.3579612Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3580082Z - self: 2023-07-07T20:05:32.3580496Z - node: fx.Node(convert_element_type_57[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3580698Z - aten_name: 2023-07-07T20:05:32.3581085Z - function_overloads: 2023-07-07T20:05:32.3581282Z - onnx_args: 2023-07-07T20:05:32.3581485Z - onnx_kwargs: 2023-07-07T20:05:32.3582000Z - diagnostic_context: 2023-07-07T20:05:32.3582434Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3582891Z [2023-07-07 20:03:24,178] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_28]. 2023-07-07T20:05:32.3583261Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3583274Z 2023-07-07T20:05:32.3583627Z [2023-07-07 20:03:24,178] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3583982Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3583994Z 2023-07-07T20:05:32.3584301Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3584769Z - self: 2023-07-07T20:05:32.3585176Z - node: fx.Node(tensor_int_28[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3585361Z - aten_name: 2023-07-07T20:05:32.3585577Z - function_overloads: 2023-07-07T20:05:32.3585768Z - onnx_args: 2023-07-07T20:05:32.3585977Z - onnx_kwargs: 2023-07-07T20:05:32.3586537Z - diagnostic_context: 2023-07-07T20:05:32.3586803Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3587324Z [2023-07-07 20:03:24,183] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_224]. 2023-07-07T20:05:32.3587580Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3587590Z 2023-07-07T20:05:32.3588220Z [2023-07-07 20:03:24,183] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3588579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3588590Z 2023-07-07T20:05:32.3588926Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3589427Z - self: 2023-07-07T20:05:32.3589818Z - node: fx.Node(unsqueeze_224[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3590036Z - aten_name: 2023-07-07T20:05:32.3590256Z - function_overloads: 2023-07-07T20:05:32.3590475Z - onnx_args: 2023-07-07T20:05:32.3590689Z - onnx_kwargs: 2023-07-07T20:05:32.3591231Z - diagnostic_context: 2023-07-07T20:05:32.3591506Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3592003Z [2023-07-07 20:03:24,184] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_225]. 2023-07-07T20:05:32.3592256Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3592268Z 2023-07-07T20:05:32.3592636Z [2023-07-07 20:03:24,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3592983Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3593014Z 2023-07-07T20:05:32.3593327Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3593820Z - self: 2023-07-07T20:05:32.3594207Z - node: fx.Node(unsqueeze_225[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3594399Z - aten_name: 2023-07-07T20:05:32.3594712Z - function_overloads: 2023-07-07T20:05:32.3594915Z - onnx_args: 2023-07-07T20:05:32.3595125Z - onnx_kwargs: 2023-07-07T20:05:32.3595652Z - diagnostic_context: 2023-07-07T20:05:32.3595947Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3596565Z [2023-07-07 20:03:24,185] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_226]. 2023-07-07T20:05:32.3596814Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3596879Z 2023-07-07T20:05:32.3597288Z [2023-07-07 20:03:24,185] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3597672Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3597683Z 2023-07-07T20:05:32.3598013Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3598530Z - self: 2023-07-07T20:05:32.3598924Z - node: fx.Node(unsqueeze_226[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3599106Z - aten_name: 2023-07-07T20:05:32.3599376Z - function_overloads: 2023-07-07T20:05:32.3599585Z - onnx_args: 2023-07-07T20:05:32.3599802Z - onnx_kwargs: 2023-07-07T20:05:32.3600341Z - diagnostic_context: 2023-07-07T20:05:32.3600629Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3601096Z [2023-07-07 20:03:24,186] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_227]. 2023-07-07T20:05:32.3601338Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3601366Z 2023-07-07T20:05:32.3601718Z [2023-07-07 20:03:24,187] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3602090Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3602101Z 2023-07-07T20:05:32.3602422Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3602931Z - self: 2023-07-07T20:05:32.3603301Z - node: fx.Node(unsqueeze_227[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3603494Z - aten_name: 2023-07-07T20:05:32.3603726Z - function_overloads: 2023-07-07T20:05:32.3603931Z - onnx_args: 2023-07-07T20:05:32.3604122Z - onnx_kwargs: 2023-07-07T20:05:32.3604793Z - diagnostic_context: 2023-07-07T20:05:32.3605067Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3605550Z [2023-07-07 20:03:24,191] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_228]. 2023-07-07T20:05:32.3605793Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3605804Z 2023-07-07T20:05:32.3606149Z [2023-07-07 20:03:24,191] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3606508Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3606524Z 2023-07-07T20:05:32.3606831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3607304Z - self: 2023-07-07T20:05:32.3607685Z - node: fx.Node(unsqueeze_228[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3607892Z - aten_name: 2023-07-07T20:05:32.3608123Z - function_overloads: 2023-07-07T20:05:32.3608325Z - onnx_args: 2023-07-07T20:05:32.3608529Z - onnx_kwargs: 2023-07-07T20:05:32.3609039Z - diagnostic_context: 2023-07-07T20:05:32.3609311Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3609777Z [2023-07-07 20:03:24,192] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_229]. 2023-07-07T20:05:32.3610172Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3610185Z 2023-07-07T20:05:32.3610518Z [2023-07-07 20:03:24,192] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3610984Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3610998Z 2023-07-07T20:05:32.3611318Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3611802Z - self: 2023-07-07T20:05:32.3612181Z - node: fx.Node(unsqueeze_229[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3612385Z - aten_name: 2023-07-07T20:05:32.3612610Z - function_overloads: 2023-07-07T20:05:32.3612808Z - onnx_args: 2023-07-07T20:05:32.3613085Z - onnx_kwargs: 2023-07-07T20:05:32.3613636Z - diagnostic_context: 2023-07-07T20:05:32.3613924Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3614429Z [2023-07-07 20:03:24,194] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_230]. 2023-07-07T20:05:32.3614682Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3614694Z 2023-07-07T20:05:32.3615046Z [2023-07-07 20:03:24,194] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3615406Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3615432Z 2023-07-07T20:05:32.3615738Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3616207Z - self: 2023-07-07T20:05:32.3616591Z - node: fx.Node(unsqueeze_230[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3616813Z - aten_name: 2023-07-07T20:05:32.3617064Z - function_overloads: 2023-07-07T20:05:32.3617286Z - onnx_args: 2023-07-07T20:05:32.3617511Z - onnx_kwargs: 2023-07-07T20:05:32.3618050Z - diagnostic_context: 2023-07-07T20:05:32.3618285Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3618708Z [2023-07-07 20:03:24,195] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_231]. 2023-07-07T20:05:32.3618897Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3618909Z 2023-07-07T20:05:32.3619222Z [2023-07-07 20:03:24,195] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3619538Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3619546Z 2023-07-07T20:05:32.3619813Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3620228Z - self: 2023-07-07T20:05:32.3620582Z - node: fx.Node(unsqueeze_231[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3620742Z - aten_name: 2023-07-07T20:05:32.3620973Z - function_overloads: 2023-07-07T20:05:32.3621182Z - onnx_args: 2023-07-07T20:05:32.3621386Z - onnx_kwargs: 2023-07-07T20:05:32.3621930Z - diagnostic_context: 2023-07-07T20:05:32.3622207Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3622590Z [2023-07-07 20:03:24,202] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_7]. 2023-07-07T20:05:32.3622806Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3622817Z 2023-07-07T20:05:32.3623269Z [2023-07-07 20:03:24,203] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3623590Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3623711Z 2023-07-07T20:05:32.3623983Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3624430Z - self: 2023-07-07T20:05:32.3624705Z - node: fx.Node(cat_7[call_function]'aten.cat.default') 2023-07-07T20:05:32.3624879Z - aten_name: 2023-07-07T20:05:32.3625094Z - function_overloads: 2023-07-07T20:05:32.3625268Z - onnx_args: 2023-07-07T20:05:32.3625447Z - onnx_kwargs: 2023-07-07T20:05:32.3625993Z - diagnostic_context: 2023-07-07T20:05:32.3626361Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.3626879Z [2023-07-07 20:03:24,205] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_7]. 2023-07-07T20:05:32.3627153Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3627171Z 2023-07-07T20:05:32.3627538Z [2023-07-07 20:03:24,205] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3627904Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3627916Z 2023-07-07T20:05:32.3628245Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3628707Z - self: 2023-07-07T20:05:32.3629046Z - node: fx.Node(transpose_7[call_function]'aten.transpose.int') 2023-07-07T20:05:32.3629257Z - aten_name: 2023-07-07T20:05:32.3629508Z - function_overloads: 2023-07-07T20:05:32.3629719Z - onnx_args: 2023-07-07T20:05:32.3629939Z - onnx_kwargs: 2023-07-07T20:05:32.3630468Z - diagnostic_context: 2023-07-07T20:05:32.3630878Z - Return value: 2023-07-07T20:05:32.3631338Z [2023-07-07 20:03:24,207] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_7]. 2023-07-07T20:05:32.3631585Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3631598Z 2023-07-07T20:05:32.3631933Z [2023-07-07 20:03:24,207] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3632308Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3632319Z 2023-07-07T20:05:32.3632615Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3633114Z - self: 2023-07-07T20:05:32.3633447Z - node: fx.Node(clone_7[call_function]'aten.clone.default') 2023-07-07T20:05:32.3633667Z - aten_name: 2023-07-07T20:05:32.3633899Z - function_overloads: 2023-07-07T20:05:32.3634083Z - onnx_args: 2023-07-07T20:05:32.3634284Z - onnx_kwargs: 2023-07-07T20:05:32.3634921Z - diagnostic_context: 2023-07-07T20:05:32.3635186Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.3635639Z [2023-07-07 20:03:24,209] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_6]. 2023-07-07T20:05:32.3635884Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3635895Z 2023-07-07T20:05:32.3636256Z [2023-07-07 20:03:24,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3636621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3636761Z 2023-07-07T20:05:32.3637062Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3637655Z - self: 2023-07-07T20:05:32.3638002Z - node: fx.Node(split_6[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.3638209Z - aten_name: 2023-07-07T20:05:32.3638447Z - function_overloads: 2023-07-07T20:05:32.3638658Z - onnx_args: 2023-07-07T20:05:32.3638863Z - onnx_kwargs: 2023-07-07T20:05:32.3639385Z - diagnostic_context: 2023-07-07T20:05:32.3639650Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.3640210Z [2023-07-07 20:03:24,211] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_14]. 2023-07-07T20:05:32.3640468Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3640480Z 2023-07-07T20:05:32.3640848Z [2023-07-07 20:03:24,211] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3641210Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3641222Z 2023-07-07T20:05:32.3641542Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3642031Z - self: 2023-07-07T20:05:32.3642404Z - node: fx.Node(getitem_14[call_function]'') 2023-07-07T20:05:32.3642597Z - aten_name: 2023-07-07T20:05:32.3642828Z - function_overloads: 2023-07-07T20:05:32.3643028Z - onnx_args: 2023-07-07T20:05:32.3643231Z - onnx_kwargs: 2023-07-07T20:05:32.3643768Z - diagnostic_context: 2023-07-07T20:05:32.3644048Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3644715Z [2023-07-07 20:03:24,212] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_15]. 2023-07-07T20:05:32.3644969Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3644984Z 2023-07-07T20:05:32.3645320Z [2023-07-07 20:03:24,212] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3645665Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3645676Z 2023-07-07T20:05:32.3645990Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3646464Z - self: 2023-07-07T20:05:32.3646819Z - node: fx.Node(getitem_15[call_function]'') 2023-07-07T20:05:32.3647020Z - aten_name: 2023-07-07T20:05:32.3647257Z - function_overloads: 2023-07-07T20:05:32.3647464Z - onnx_args: 2023-07-07T20:05:32.3647670Z - onnx_kwargs: 2023-07-07T20:05:32.3648223Z - diagnostic_context: 2023-07-07T20:05:32.3648495Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3648964Z [2023-07-07 20:03:24,213] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_29]. 2023-07-07T20:05:32.3649222Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3649232Z 2023-07-07T20:05:32.3649581Z [2023-07-07 20:03:24,213] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3649945Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3649956Z 2023-07-07T20:05:32.3650410Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3650914Z - self: 2023-07-07T20:05:32.3651402Z - node: fx.Node(convolution_29[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3651614Z - aten_name: 2023-07-07T20:05:32.3651837Z - function_overloads: 2023-07-07T20:05:32.3652043Z - onnx_args: 2023-07-07T20:05:32.3652252Z - onnx_kwargs: 2023-07-07T20:05:32.3652795Z - diagnostic_context: 2023-07-07T20:05:32.3653167Z - Return value: 2023-07-07T20:05:32.3653727Z [2023-07-07 20:03:24,217] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_58]. 2023-07-07T20:05:32.3654086Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3654102Z 2023-07-07T20:05:32.3654476Z [2023-07-07 20:03:24,217] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3654830Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3654843Z 2023-07-07T20:05:32.3655179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3655678Z - self: 2023-07-07T20:05:32.3656104Z - node: fx.Node(convert_element_type_58[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3656306Z - aten_name: 2023-07-07T20:05:32.3656529Z - function_overloads: 2023-07-07T20:05:32.3656716Z - onnx_args: 2023-07-07T20:05:32.3656922Z - onnx_kwargs: 2023-07-07T20:05:32.3657469Z - diagnostic_context: 2023-07-07T20:05:32.3657811Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3658394Z [2023-07-07 20:03:24,218] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_59]. 2023-07-07T20:05:32.3658670Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3658682Z 2023-07-07T20:05:32.3659033Z [2023-07-07 20:03:24,218] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3659376Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3659386Z 2023-07-07T20:05:32.3659692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3660143Z - self: 2023-07-07T20:05:32.3660576Z - node: fx.Node(convert_element_type_59[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3660780Z - aten_name: 2023-07-07T20:05:32.3661007Z - function_overloads: 2023-07-07T20:05:32.3661211Z - onnx_args: 2023-07-07T20:05:32.3661418Z - onnx_kwargs: 2023-07-07T20:05:32.3661980Z - diagnostic_context: 2023-07-07T20:05:32.3662290Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3662769Z [2023-07-07 20:03:24,222] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_29]. 2023-07-07T20:05:32.3663000Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3663016Z 2023-07-07T20:05:32.3663362Z [2023-07-07 20:03:24,222] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3663745Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3663859Z 2023-07-07T20:05:32.3664193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3664685Z - self: 2023-07-07T20:05:32.3665080Z - node: fx.Node(tensor_int_29[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3665269Z - aten_name: 2023-07-07T20:05:32.3665490Z - function_overloads: 2023-07-07T20:05:32.3665688Z - onnx_args: 2023-07-07T20:05:32.3665898Z - onnx_kwargs: 2023-07-07T20:05:32.3666430Z - diagnostic_context: 2023-07-07T20:05:32.3666719Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3667221Z [2023-07-07 20:03:24,227] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_232]. 2023-07-07T20:05:32.3667519Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3667536Z 2023-07-07T20:05:32.3667897Z [2023-07-07 20:03:24,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3668266Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3668280Z 2023-07-07T20:05:32.3668622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3669099Z - self: 2023-07-07T20:05:32.3669467Z - node: fx.Node(unsqueeze_232[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3669675Z - aten_name: 2023-07-07T20:05:32.3669908Z - function_overloads: 2023-07-07T20:05:32.3670119Z - onnx_args: 2023-07-07T20:05:32.3670330Z - onnx_kwargs: 2023-07-07T20:05:32.3670862Z - diagnostic_context: 2023-07-07T20:05:32.3671155Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3671673Z [2023-07-07 20:03:24,228] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_233]. 2023-07-07T20:05:32.3671930Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3671943Z 2023-07-07T20:05:32.3672309Z [2023-07-07 20:03:24,228] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3672668Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3672679Z 2023-07-07T20:05:32.3673002Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3673483Z - self: 2023-07-07T20:05:32.3673855Z - node: fx.Node(unsqueeze_233[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3674047Z - aten_name: 2023-07-07T20:05:32.3674284Z - function_overloads: 2023-07-07T20:05:32.3674489Z - onnx_args: 2023-07-07T20:05:32.3674778Z - onnx_kwargs: 2023-07-07T20:05:32.3675349Z - diagnostic_context: 2023-07-07T20:05:32.3675631Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3676135Z [2023-07-07 20:03:24,229] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_234]. 2023-07-07T20:05:32.3676373Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3676398Z 2023-07-07T20:05:32.3676744Z [2023-07-07 20:03:24,229] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3677106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3677118Z 2023-07-07T20:05:32.3677438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3694821Z - self: 2023-07-07T20:05:32.3695214Z - node: fx.Node(unsqueeze_234[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3695555Z - aten_name: 2023-07-07T20:05:32.3695814Z - function_overloads: 2023-07-07T20:05:32.3696039Z - onnx_args: 2023-07-07T20:05:32.3696254Z - onnx_kwargs: 2023-07-07T20:05:32.3696805Z - diagnostic_context: 2023-07-07T20:05:32.3697094Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3697607Z [2023-07-07 20:03:24,230] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_235]. 2023-07-07T20:05:32.3697881Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3697894Z 2023-07-07T20:05:32.3698323Z [2023-07-07 20:03:24,230] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3698709Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3698725Z 2023-07-07T20:05:32.3699071Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3699588Z - self: 2023-07-07T20:05:32.3699993Z - node: fx.Node(unsqueeze_235[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3700219Z - aten_name: 2023-07-07T20:05:32.3700454Z - function_overloads: 2023-07-07T20:05:32.3700677Z - onnx_args: 2023-07-07T20:05:32.3700904Z - onnx_kwargs: 2023-07-07T20:05:32.3701501Z - diagnostic_context: 2023-07-07T20:05:32.3701822Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3702371Z [2023-07-07 20:03:24,234] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_236]. 2023-07-07T20:05:32.3702649Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3702669Z 2023-07-07T20:05:32.3703014Z [2023-07-07 20:03:24,234] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3703376Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3703386Z 2023-07-07T20:05:32.3703722Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3704231Z - self: 2023-07-07T20:05:32.3704621Z - node: fx.Node(unsqueeze_236[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3704837Z - aten_name: 2023-07-07T20:05:32.3705088Z - function_overloads: 2023-07-07T20:05:32.3705313Z - onnx_args: 2023-07-07T20:05:32.3705530Z - onnx_kwargs: 2023-07-07T20:05:32.3706135Z - diagnostic_context: 2023-07-07T20:05:32.3706468Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3707013Z [2023-07-07 20:03:24,235] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_237]. 2023-07-07T20:05:32.3707290Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3707301Z 2023-07-07T20:05:32.3707673Z [2023-07-07 20:03:24,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3708070Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3708082Z 2023-07-07T20:05:32.3708442Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3708963Z - self: 2023-07-07T20:05:32.3709450Z - node: fx.Node(unsqueeze_237[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3709676Z - aten_name: 2023-07-07T20:05:32.3709995Z - function_overloads: 2023-07-07T20:05:32.3710257Z - onnx_args: 2023-07-07T20:05:32.3710489Z - onnx_kwargs: 2023-07-07T20:05:32.3711081Z - diagnostic_context: 2023-07-07T20:05:32.3711391Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3712093Z [2023-07-07 20:03:24,238] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_238]. 2023-07-07T20:05:32.3712361Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3712374Z 2023-07-07T20:05:32.3712758Z [2023-07-07 20:03:24,238] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3713198Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3713217Z 2023-07-07T20:05:32.3713575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3714111Z - self: 2023-07-07T20:05:32.3714514Z - node: fx.Node(unsqueeze_238[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3714828Z - aten_name: 2023-07-07T20:05:32.3715083Z - function_overloads: 2023-07-07T20:05:32.3715285Z - onnx_args: 2023-07-07T20:05:32.3715510Z - onnx_kwargs: 2023-07-07T20:05:32.3716117Z - diagnostic_context: 2023-07-07T20:05:32.3716418Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3717234Z [2023-07-07 20:03:24,239] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_239]. 2023-07-07T20:05:32.3717515Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3717525Z 2023-07-07T20:05:32.3717897Z [2023-07-07 20:03:24,239] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3718302Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3718313Z 2023-07-07T20:05:32.3718665Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3719190Z - self: 2023-07-07T20:05:32.3719575Z - node: fx.Node(unsqueeze_239[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3719796Z - aten_name: 2023-07-07T20:05:32.3720047Z - function_overloads: 2023-07-07T20:05:32.3720267Z - onnx_args: 2023-07-07T20:05:32.3720508Z - onnx_kwargs: 2023-07-07T20:05:32.3721077Z - diagnostic_context: 2023-07-07T20:05:32.3721364Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3721900Z [2023-07-07 20:03:24,246] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_30]. 2023-07-07T20:05:32.3722180Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3722191Z 2023-07-07T20:05:32.3722555Z [2023-07-07 20:03:24,246] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3722934Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3722946Z 2023-07-07T20:05:32.3723289Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3723789Z - self: 2023-07-07T20:05:32.3724193Z - node: fx.Node(convolution_30[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3724740Z - aten_name: 2023-07-07T20:05:32.3724978Z - function_overloads: 2023-07-07T20:05:32.3725233Z - onnx_args: 2023-07-07T20:05:32.3725630Z - onnx_kwargs: 2023-07-07T20:05:32.3731767Z - diagnostic_context: 2023-07-07T20:05:32.3732154Z - Return value: 2023-07-07T20:05:32.3732647Z [2023-07-07 20:03:24,250] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_60]. 2023-07-07T20:05:32.3732898Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3732910Z 2023-07-07T20:05:32.3733197Z [2023-07-07 20:03:24,251] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3733579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3733596Z 2023-07-07T20:05:32.3733863Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3734276Z - self: 2023-07-07T20:05:32.3734632Z - node: fx.Node(convert_element_type_60[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3734795Z - aten_name: 2023-07-07T20:05:32.3734980Z - function_overloads: 2023-07-07T20:05:32.3735155Z - onnx_args: 2023-07-07T20:05:32.3735329Z - onnx_kwargs: 2023-07-07T20:05:32.3735776Z - diagnostic_context: 2023-07-07T20:05:32.3736044Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3736502Z [2023-07-07 20:03:24,252] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_61]. 2023-07-07T20:05:32.3736728Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3736739Z 2023-07-07T20:05:32.3737035Z [2023-07-07 20:03:24,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3737329Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3737343Z 2023-07-07T20:05:32.3737602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3738004Z - self: 2023-07-07T20:05:32.3738355Z - node: fx.Node(convert_element_type_61[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3738512Z - aten_name: 2023-07-07T20:05:32.3738705Z - function_overloads: 2023-07-07T20:05:32.3738851Z - onnx_args: 2023-07-07T20:05:32.3739036Z - onnx_kwargs: 2023-07-07T20:05:32.3739485Z - diagnostic_context: 2023-07-07T20:05:32.3739757Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3740135Z [2023-07-07 20:03:24,258] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_30]. 2023-07-07T20:05:32.3740340Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3740349Z 2023-07-07T20:05:32.3740638Z [2023-07-07 20:03:24,258] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3740914Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3740922Z 2023-07-07T20:05:32.3741184Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3741573Z - self: 2023-07-07T20:05:32.3741839Z - node: fx.Node(tensor_int_30[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3742112Z - aten_name: 2023-07-07T20:05:32.3742322Z - function_overloads: 2023-07-07T20:05:32.3742559Z - onnx_args: 2023-07-07T20:05:32.3742772Z - onnx_kwargs: 2023-07-07T20:05:32.3743204Z - diagnostic_context: 2023-07-07T20:05:32.3743424Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3743846Z [2023-07-07 20:03:24,265] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_240]. 2023-07-07T20:05:32.3744051Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3744062Z 2023-07-07T20:05:32.3744364Z [2023-07-07 20:03:24,265] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3744715Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3744725Z 2023-07-07T20:05:32.3745001Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3745403Z - self: 2023-07-07T20:05:32.3745711Z - node: fx.Node(unsqueeze_240[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3745875Z - aten_name: 2023-07-07T20:05:32.3746054Z - function_overloads: 2023-07-07T20:05:32.3746225Z - onnx_args: 2023-07-07T20:05:32.3746389Z - onnx_kwargs: 2023-07-07T20:05:32.3746850Z - diagnostic_context: 2023-07-07T20:05:32.3747090Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3747514Z [2023-07-07 20:03:24,267] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_241]. 2023-07-07T20:05:32.3747739Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3747753Z 2023-07-07T20:05:32.3748054Z [2023-07-07 20:03:24,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3748343Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3748358Z 2023-07-07T20:05:32.3748619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3749018Z - self: 2023-07-07T20:05:32.3749317Z - node: fx.Node(unsqueeze_241[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3749478Z - aten_name: 2023-07-07T20:05:32.3749670Z - function_overloads: 2023-07-07T20:05:32.3749842Z - onnx_args: 2023-07-07T20:05:32.3750013Z - onnx_kwargs: 2023-07-07T20:05:32.3750447Z - diagnostic_context: 2023-07-07T20:05:32.3750669Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3751077Z [2023-07-07 20:03:24,268] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_242]. 2023-07-07T20:05:32.3751294Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3751304Z 2023-07-07T20:05:32.3751610Z [2023-07-07 20:03:24,268] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3751902Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3751913Z 2023-07-07T20:05:32.3772943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3773490Z - self: 2023-07-07T20:05:32.3773794Z - node: fx.Node(unsqueeze_242[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3773967Z - aten_name: 2023-07-07T20:05:32.3774288Z - function_overloads: 2023-07-07T20:05:32.3774450Z - onnx_args: 2023-07-07T20:05:32.3774611Z - onnx_kwargs: 2023-07-07T20:05:32.3775187Z - diagnostic_context: 2023-07-07T20:05:32.3775419Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3775824Z [2023-07-07 20:03:24,270] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_243]. 2023-07-07T20:05:32.3776016Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3776028Z 2023-07-07T20:05:32.3776317Z [2023-07-07 20:03:24,270] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3776606Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3776634Z 2023-07-07T20:05:32.3776939Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3777347Z - self: 2023-07-07T20:05:32.3777662Z - node: fx.Node(unsqueeze_243[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3777837Z - aten_name: 2023-07-07T20:05:32.3778032Z - function_overloads: 2023-07-07T20:05:32.3778209Z - onnx_args: 2023-07-07T20:05:32.3778392Z - onnx_kwargs: 2023-07-07T20:05:32.3778834Z - diagnostic_context: 2023-07-07T20:05:32.3779072Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3779482Z [2023-07-07 20:03:24,276] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_244]. 2023-07-07T20:05:32.3779694Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3779704Z 2023-07-07T20:05:32.3780003Z [2023-07-07 20:03:24,276] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3780305Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3780317Z 2023-07-07T20:05:32.3780601Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3781008Z - self: 2023-07-07T20:05:32.3781325Z - node: fx.Node(unsqueeze_244[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3781485Z - aten_name: 2023-07-07T20:05:32.3781686Z - function_overloads: 2023-07-07T20:05:32.3781859Z - onnx_args: 2023-07-07T20:05:32.3782041Z - onnx_kwargs: 2023-07-07T20:05:32.3782490Z - diagnostic_context: 2023-07-07T20:05:32.3782762Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3783182Z [2023-07-07 20:03:24,277] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_245]. 2023-07-07T20:05:32.3783398Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3783413Z 2023-07-07T20:05:32.3783704Z [2023-07-07 20:03:24,277] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3784026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3784034Z 2023-07-07T20:05:32.3784304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3784719Z - self: 2023-07-07T20:05:32.3785036Z - node: fx.Node(unsqueeze_245[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3785211Z - aten_name: 2023-07-07T20:05:32.3785410Z - function_overloads: 2023-07-07T20:05:32.3785586Z - onnx_args: 2023-07-07T20:05:32.3785830Z - onnx_kwargs: 2023-07-07T20:05:32.3786288Z - diagnostic_context: 2023-07-07T20:05:32.3786568Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3787026Z [2023-07-07 20:03:24,281] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_246]. 2023-07-07T20:05:32.3787241Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3787250Z 2023-07-07T20:05:32.3787553Z [2023-07-07 20:03:24,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3787852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3787862Z 2023-07-07T20:05:32.3788193Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3788660Z - self: 2023-07-07T20:05:32.3788960Z - node: fx.Node(unsqueeze_246[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3789133Z - aten_name: 2023-07-07T20:05:32.3789342Z - function_overloads: 2023-07-07T20:05:32.3789523Z - onnx_args: 2023-07-07T20:05:32.3789706Z - onnx_kwargs: 2023-07-07T20:05:32.3790158Z - diagnostic_context: 2023-07-07T20:05:32.3790396Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3790786Z [2023-07-07 20:03:24,282] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_247]. 2023-07-07T20:05:32.3790993Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3791003Z 2023-07-07T20:05:32.3791305Z [2023-07-07 20:03:24,282] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3791621Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3791635Z 2023-07-07T20:05:32.3791911Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3792357Z - self: 2023-07-07T20:05:32.3792701Z - node: fx.Node(unsqueeze_247[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3792874Z - aten_name: 2023-07-07T20:05:32.3793066Z - function_overloads: 2023-07-07T20:05:32.3793210Z - onnx_args: 2023-07-07T20:05:32.3793400Z - onnx_kwargs: 2023-07-07T20:05:32.3793879Z - diagnostic_context: 2023-07-07T20:05:32.3794105Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3794530Z [2023-07-07 20:03:24,286] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_31]. 2023-07-07T20:05:32.3794860Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3794870Z 2023-07-07T20:05:32.3795168Z [2023-07-07 20:03:24,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3795468Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3795478Z 2023-07-07T20:05:32.3795753Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3796137Z - self: 2023-07-07T20:05:32.3796452Z - node: fx.Node(convolution_31[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3796620Z - aten_name: 2023-07-07T20:05:32.3796820Z - function_overloads: 2023-07-07T20:05:32.3796991Z - onnx_args: 2023-07-07T20:05:32.3797166Z - onnx_kwargs: 2023-07-07T20:05:32.3797621Z - diagnostic_context: 2023-07-07T20:05:32.3798010Z - Return value: 2023-07-07T20:05:32.3798555Z [2023-07-07 20:03:24,291] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_62]. 2023-07-07T20:05:32.3798789Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3798798Z 2023-07-07T20:05:32.3799080Z [2023-07-07 20:03:24,291] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3799372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3799381Z 2023-07-07T20:05:32.3799644Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3800136Z - self: 2023-07-07T20:05:32.3800504Z - node: fx.Node(convert_element_type_62[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3800687Z - aten_name: 2023-07-07T20:05:32.3800876Z - function_overloads: 2023-07-07T20:05:32.3801087Z - onnx_args: 2023-07-07T20:05:32.3801258Z - onnx_kwargs: 2023-07-07T20:05:32.3801703Z - diagnostic_context: 2023-07-07T20:05:32.3801976Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3802448Z [2023-07-07 20:03:24,293] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_63]. 2023-07-07T20:05:32.3802696Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3802707Z 2023-07-07T20:05:32.3803021Z [2023-07-07 20:03:24,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3803326Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3803356Z 2023-07-07T20:05:32.3803614Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3804048Z - self: 2023-07-07T20:05:32.3804673Z - node: fx.Node(convert_element_type_63[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3804865Z - aten_name: 2023-07-07T20:05:32.3805069Z - function_overloads: 2023-07-07T20:05:32.3805252Z - onnx_args: 2023-07-07T20:05:32.3805427Z - onnx_kwargs: 2023-07-07T20:05:32.3805866Z - diagnostic_context: 2023-07-07T20:05:32.3806142Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3806541Z [2023-07-07 20:03:24,299] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_31]. 2023-07-07T20:05:32.3806764Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3806775Z 2023-07-07T20:05:32.3807085Z [2023-07-07 20:03:24,299] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3807430Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3807440Z 2023-07-07T20:05:32.3807832Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3808350Z - self: 2023-07-07T20:05:32.3808684Z - node: fx.Node(tensor_int_31[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3808850Z - aten_name: 2023-07-07T20:05:32.3809073Z - function_overloads: 2023-07-07T20:05:32.3809253Z - onnx_args: 2023-07-07T20:05:32.3809445Z - onnx_kwargs: 2023-07-07T20:05:32.3809921Z - diagnostic_context: 2023-07-07T20:05:32.3810265Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3810788Z [2023-07-07 20:03:24,305] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_248]. 2023-07-07T20:05:32.3810999Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3811028Z 2023-07-07T20:05:32.3811342Z [2023-07-07 20:03:24,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3811691Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3811702Z 2023-07-07T20:05:32.3812019Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3812490Z - self: 2023-07-07T20:05:32.3812902Z - node: fx.Node(unsqueeze_248[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3813134Z - aten_name: 2023-07-07T20:05:32.3813399Z - function_overloads: 2023-07-07T20:05:32.3813626Z - onnx_args: 2023-07-07T20:05:32.3813839Z - onnx_kwargs: 2023-07-07T20:05:32.3814408Z - diagnostic_context: 2023-07-07T20:05:32.3814713Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3815235Z [2023-07-07 20:03:24,307] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_249]. 2023-07-07T20:05:32.3815498Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3815509Z 2023-07-07T20:05:32.3815845Z [2023-07-07 20:03:24,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3816240Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3816251Z 2023-07-07T20:05:32.3816608Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3817112Z - self: 2023-07-07T20:05:32.3817482Z - node: fx.Node(unsqueeze_249[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3817702Z - aten_name: 2023-07-07T20:05:32.3817954Z - function_overloads: 2023-07-07T20:05:32.3818173Z - onnx_args: 2023-07-07T20:05:32.3818400Z - onnx_kwargs: 2023-07-07T20:05:32.3818959Z - diagnostic_context: 2023-07-07T20:05:32.3819252Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3819758Z [2023-07-07 20:03:24,308] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_250]. 2023-07-07T20:05:32.3820030Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3820045Z 2023-07-07T20:05:32.3820417Z [2023-07-07 20:03:24,308] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3820810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3820824Z 2023-07-07T20:05:32.3821177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3821687Z - self: 2023-07-07T20:05:32.3842854Z - node: fx.Node(unsqueeze_250[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3843205Z - aten_name: 2023-07-07T20:05:32.3843461Z - function_overloads: 2023-07-07T20:05:32.3843674Z - onnx_args: 2023-07-07T20:05:32.3843899Z - onnx_kwargs: 2023-07-07T20:05:32.3844664Z - diagnostic_context: 2023-07-07T20:05:32.3844974Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3845626Z [2023-07-07 20:03:24,310] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_251]. 2023-07-07T20:05:32.3846010Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3846024Z 2023-07-07T20:05:32.3846388Z [2023-07-07 20:03:24,310] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3846771Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3846781Z 2023-07-07T20:05:32.3847106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3847581Z - self: 2023-07-07T20:05:32.3847888Z - node: fx.Node(unsqueeze_251[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3848186Z - aten_name: 2023-07-07T20:05:32.3848413Z - function_overloads: 2023-07-07T20:05:32.3848618Z - onnx_args: 2023-07-07T20:05:32.3848814Z - onnx_kwargs: 2023-07-07T20:05:32.3849386Z - diagnostic_context: 2023-07-07T20:05:32.3849653Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3850166Z [2023-07-07 20:03:24,315] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_252]. 2023-07-07T20:05:32.3850400Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3850411Z 2023-07-07T20:05:32.3850747Z [2023-07-07 20:03:24,316] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3851081Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3851091Z 2023-07-07T20:05:32.3851414Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3851882Z - self: 2023-07-07T20:05:32.3852248Z - node: fx.Node(unsqueeze_252[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3852434Z - aten_name: 2023-07-07T20:05:32.3852681Z - function_overloads: 2023-07-07T20:05:32.3852891Z - onnx_args: 2023-07-07T20:05:32.3853099Z - onnx_kwargs: 2023-07-07T20:05:32.3853638Z - diagnostic_context: 2023-07-07T20:05:32.3853921Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3854411Z [2023-07-07 20:03:24,317] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_253]. 2023-07-07T20:05:32.3854667Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3854677Z 2023-07-07T20:05:32.3855027Z [2023-07-07 20:03:24,317] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3855378Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3855393Z 2023-07-07T20:05:32.3855824Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3856233Z - self: 2023-07-07T20:05:32.3856585Z - node: fx.Node(unsqueeze_253[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3856797Z - aten_name: 2023-07-07T20:05:32.3857047Z - function_overloads: 2023-07-07T20:05:32.3857259Z - onnx_args: 2023-07-07T20:05:32.3857462Z - onnx_kwargs: 2023-07-07T20:05:32.3858018Z - diagnostic_context: 2023-07-07T20:05:32.3858305Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3858827Z [2023-07-07 20:03:24,319] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_254]. 2023-07-07T20:05:32.3859180Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3859230Z 2023-07-07T20:05:32.3859638Z [2023-07-07 20:03:24,319] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3860001Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3860012Z 2023-07-07T20:05:32.3860332Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3860809Z - self: 2023-07-07T20:05:32.3861159Z - node: fx.Node(unsqueeze_254[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3861363Z - aten_name: 2023-07-07T20:05:32.3861599Z - function_overloads: 2023-07-07T20:05:32.3861860Z - onnx_args: 2023-07-07T20:05:32.3862075Z - onnx_kwargs: 2023-07-07T20:05:32.3862617Z - diagnostic_context: 2023-07-07T20:05:32.3863181Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3863672Z [2023-07-07 20:03:24,320] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_255]. 2023-07-07T20:05:32.3863932Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3863942Z 2023-07-07T20:05:32.3864294Z [2023-07-07 20:03:24,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3864651Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3864662Z 2023-07-07T20:05:32.3864999Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3865492Z - self: 2023-07-07T20:05:32.3865873Z - node: fx.Node(unsqueeze_255[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3866074Z - aten_name: 2023-07-07T20:05:32.3866312Z - function_overloads: 2023-07-07T20:05:32.3866512Z - onnx_args: 2023-07-07T20:05:32.3866722Z - onnx_kwargs: 2023-07-07T20:05:32.3867276Z - diagnostic_context: 2023-07-07T20:05:32.3867566Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3868013Z [2023-07-07 20:03:24,326] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_8]. 2023-07-07T20:05:32.3868250Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3868260Z 2023-07-07T20:05:32.3868610Z [2023-07-07 20:03:24,326] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3868969Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3868983Z 2023-07-07T20:05:32.3869299Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3869803Z - self: 2023-07-07T20:05:32.3870114Z - node: fx.Node(cat_8[call_function]'aten.cat.default') 2023-07-07T20:05:32.3870319Z - aten_name: 2023-07-07T20:05:32.3870561Z - function_overloads: 2023-07-07T20:05:32.3870771Z - onnx_args: 2023-07-07T20:05:32.3870978Z - onnx_kwargs: 2023-07-07T20:05:32.3871533Z - diagnostic_context: 2023-07-07T20:05:32.3871779Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.3872261Z [2023-07-07 20:03:24,329] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_8]. 2023-07-07T20:05:32.3872483Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3872557Z 2023-07-07T20:05:32.3872860Z [2023-07-07 20:03:24,329] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3873300Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3873312Z 2023-07-07T20:05:32.3873601Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3874060Z - self: 2023-07-07T20:05:32.3874378Z - node: fx.Node(transpose_8[call_function]'aten.transpose.int') 2023-07-07T20:05:32.3874556Z - aten_name: 2023-07-07T20:05:32.3874835Z - function_overloads: 2023-07-07T20:05:32.3875022Z - onnx_args: 2023-07-07T20:05:32.3875221Z - onnx_kwargs: 2023-07-07T20:05:32.3875844Z - diagnostic_context: 2023-07-07T20:05:32.3876242Z - Return value: 2023-07-07T20:05:32.3876669Z [2023-07-07 20:03:24,331] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_8]. 2023-07-07T20:05:32.3876884Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3876895Z 2023-07-07T20:05:32.3877204Z [2023-07-07 20:03:24,331] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3877534Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3877545Z 2023-07-07T20:05:32.3877883Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3878342Z - self: 2023-07-07T20:05:32.3878658Z - node: fx.Node(clone_8[call_function]'aten.clone.default') 2023-07-07T20:05:32.3878847Z - aten_name: 2023-07-07T20:05:32.3879072Z - function_overloads: 2023-07-07T20:05:32.3879261Z - onnx_args: 2023-07-07T20:05:32.3879431Z - onnx_kwargs: 2023-07-07T20:05:32.3879937Z - diagnostic_context: 2023-07-07T20:05:32.3880187Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.3880641Z [2023-07-07 20:03:24,333] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_7]. 2023-07-07T20:05:32.3880874Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3880885Z 2023-07-07T20:05:32.3881231Z [2023-07-07 20:03:24,333] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3881579Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3881590Z 2023-07-07T20:05:32.3881905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3882367Z - self: 2023-07-07T20:05:32.3882681Z - node: fx.Node(split_7[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.3882888Z - aten_name: 2023-07-07T20:05:32.3883134Z - function_overloads: 2023-07-07T20:05:32.3883347Z - onnx_args: 2023-07-07T20:05:32.3883559Z - onnx_kwargs: 2023-07-07T20:05:32.3884034Z - diagnostic_context: 2023-07-07T20:05:32.3884277Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.3884903Z [2023-07-07 20:03:24,335] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_16]. 2023-07-07T20:05:32.3885149Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3885160Z 2023-07-07T20:05:32.3885516Z [2023-07-07 20:03:24,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3885999Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3886010Z 2023-07-07T20:05:32.3886460Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3886919Z - self: 2023-07-07T20:05:32.3887264Z - node: fx.Node(getitem_16[call_function]'') 2023-07-07T20:05:32.3887448Z - aten_name: 2023-07-07T20:05:32.3887661Z - function_overloads: 2023-07-07T20:05:32.3887848Z - onnx_args: 2023-07-07T20:05:32.3888042Z - onnx_kwargs: 2023-07-07T20:05:32.3888544Z - diagnostic_context: 2023-07-07T20:05:32.3888808Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3889363Z [2023-07-07 20:03:24,336] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_17]. 2023-07-07T20:05:32.3889609Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3889624Z 2023-07-07T20:05:32.3889961Z [2023-07-07 20:03:24,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3890302Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3890312Z 2023-07-07T20:05:32.3890626Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3891077Z - self: 2023-07-07T20:05:32.3891412Z - node: fx.Node(getitem_17[call_function]'') 2023-07-07T20:05:32.3891596Z - aten_name: 2023-07-07T20:05:32.3891829Z - function_overloads: 2023-07-07T20:05:32.3892039Z - onnx_args: 2023-07-07T20:05:32.3892245Z - onnx_kwargs: 2023-07-07T20:05:32.3892775Z - diagnostic_context: 2023-07-07T20:05:32.3893024Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.3893523Z [2023-07-07 20:03:24,337] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_32]. 2023-07-07T20:05:32.3893774Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3893786Z 2023-07-07T20:05:32.3894125Z [2023-07-07 20:03:24,337] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3894479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3894489Z 2023-07-07T20:05:32.3894805Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3895306Z - self: 2023-07-07T20:05:32.3895708Z - node: fx.Node(convolution_32[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3895899Z - aten_name: 2023-07-07T20:05:32.3896116Z - function_overloads: 2023-07-07T20:05:32.3896299Z - onnx_args: 2023-07-07T20:05:32.3896483Z - onnx_kwargs: 2023-07-07T20:05:32.3897009Z - diagnostic_context: 2023-07-07T20:05:32.3897334Z - Return value: 2023-07-07T20:05:32.3897855Z [2023-07-07 20:03:24,340] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_64]. 2023-07-07T20:05:32.3898122Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3898133Z 2023-07-07T20:05:32.3898476Z [2023-07-07 20:03:24,340] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3898816Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3898928Z 2023-07-07T20:05:32.3899257Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3899851Z - self: 2023-07-07T20:05:32.3900306Z - node: fx.Node(convert_element_type_64[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3900518Z - aten_name: 2023-07-07T20:05:32.3900750Z - function_overloads: 2023-07-07T20:05:32.3900965Z - onnx_args: 2023-07-07T20:05:32.3901178Z - onnx_kwargs: 2023-07-07T20:05:32.3901734Z - diagnostic_context: 2023-07-07T20:05:32.3902212Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3902872Z [2023-07-07 20:03:24,342] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_65]. 2023-07-07T20:05:32.3903176Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3903191Z 2023-07-07T20:05:32.3903545Z [2023-07-07 20:03:24,342] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3903922Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3903934Z 2023-07-07T20:05:32.3904282Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3904780Z - self: 2023-07-07T20:05:32.3905232Z - node: fx.Node(convert_element_type_65[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3905429Z - aten_name: 2023-07-07T20:05:32.3905666Z - function_overloads: 2023-07-07T20:05:32.3905880Z - onnx_args: 2023-07-07T20:05:32.3906096Z - onnx_kwargs: 2023-07-07T20:05:32.3906673Z - diagnostic_context: 2023-07-07T20:05:32.3907024Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3907506Z [2023-07-07 20:03:24,346] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_32]. 2023-07-07T20:05:32.3907759Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3907785Z 2023-07-07T20:05:32.3908141Z [2023-07-07 20:03:24,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3908776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3908789Z 2023-07-07T20:05:32.3909117Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3909640Z - self: 2023-07-07T20:05:32.3909997Z - node: fx.Node(tensor_int_32[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3910210Z - aten_name: 2023-07-07T20:05:32.3910464Z - function_overloads: 2023-07-07T20:05:32.3910666Z - onnx_args: 2023-07-07T20:05:32.3910870Z - onnx_kwargs: 2023-07-07T20:05:32.3911444Z - diagnostic_context: 2023-07-07T20:05:32.3911743Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3912233Z [2023-07-07 20:03:24,351] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_256]. 2023-07-07T20:05:32.3912459Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3912469Z 2023-07-07T20:05:32.3912797Z [2023-07-07 20:03:24,351] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3913151Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3913251Z 2023-07-07T20:05:32.3913579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3914139Z - self: 2023-07-07T20:05:32.3914499Z - node: fx.Node(unsqueeze_256[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3914821Z - aten_name: 2023-07-07T20:05:32.3915063Z - function_overloads: 2023-07-07T20:05:32.3915265Z - onnx_args: 2023-07-07T20:05:32.3915471Z - onnx_kwargs: 2023-07-07T20:05:32.3916024Z - diagnostic_context: 2023-07-07T20:05:32.3916306Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3916842Z [2023-07-07 20:03:24,352] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_257]. 2023-07-07T20:05:32.3917085Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3917099Z 2023-07-07T20:05:32.3917435Z [2023-07-07 20:03:24,352] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3917792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3917803Z 2023-07-07T20:05:32.3918111Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3918575Z - self: 2023-07-07T20:05:32.3918921Z - node: fx.Node(unsqueeze_257[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3919122Z - aten_name: 2023-07-07T20:05:32.3919340Z - function_overloads: 2023-07-07T20:05:32.3919521Z - onnx_args: 2023-07-07T20:05:32.3919724Z - onnx_kwargs: 2023-07-07T20:05:32.3920235Z - diagnostic_context: 2023-07-07T20:05:32.3920505Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3921005Z [2023-07-07 20:03:24,353] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_258]. 2023-07-07T20:05:32.3921278Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3921290Z 2023-07-07T20:05:32.3921647Z [2023-07-07 20:03:24,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3922004Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3922014Z 2023-07-07T20:05:32.3922297Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3922763Z - self: 2023-07-07T20:05:32.3923128Z - node: fx.Node(unsqueeze_258[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3923329Z - aten_name: 2023-07-07T20:05:32.3923562Z - function_overloads: 2023-07-07T20:05:32.3923758Z - onnx_args: 2023-07-07T20:05:32.3923962Z - onnx_kwargs: 2023-07-07T20:05:32.3924650Z - diagnostic_context: 2023-07-07T20:05:32.3924911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3925391Z [2023-07-07 20:03:24,355] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_259]. 2023-07-07T20:05:32.3925630Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3925640Z 2023-07-07T20:05:32.3925994Z [2023-07-07 20:03:24,355] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3926346Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3926365Z 2023-07-07T20:05:32.3926683Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3927292Z - self: 2023-07-07T20:05:32.3927794Z - node: fx.Node(unsqueeze_259[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3927991Z - aten_name: 2023-07-07T20:05:32.3928231Z - function_overloads: 2023-07-07T20:05:32.3928440Z - onnx_args: 2023-07-07T20:05:32.3928641Z - onnx_kwargs: 2023-07-07T20:05:32.3929105Z - diagnostic_context: 2023-07-07T20:05:32.3929348Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3929788Z [2023-07-07 20:03:24,359] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_260]. 2023-07-07T20:05:32.3930107Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3930122Z 2023-07-07T20:05:32.3930441Z [2023-07-07 20:03:24,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3930757Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3930771Z 2023-07-07T20:05:32.3931069Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3931532Z - self: 2023-07-07T20:05:32.3931903Z - node: fx.Node(unsqueeze_260[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3932114Z - aten_name: 2023-07-07T20:05:32.3932354Z - function_overloads: 2023-07-07T20:05:32.3932567Z - onnx_args: 2023-07-07T20:05:32.3932769Z - onnx_kwargs: 2023-07-07T20:05:32.3933296Z - diagnostic_context: 2023-07-07T20:05:32.3933576Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3934085Z [2023-07-07 20:03:24,360] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_261]. 2023-07-07T20:05:32.3934339Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3934355Z 2023-07-07T20:05:32.3934672Z [2023-07-07 20:03:24,360] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3934980Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3934989Z 2023-07-07T20:05:32.3935268Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3935675Z - self: 2023-07-07T20:05:32.3935970Z - node: fx.Node(unsqueeze_261[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3936168Z - aten_name: 2023-07-07T20:05:32.3936384Z - function_overloads: 2023-07-07T20:05:32.3936559Z - onnx_args: 2023-07-07T20:05:32.3936738Z - onnx_kwargs: 2023-07-07T20:05:32.3937237Z - diagnostic_context: 2023-07-07T20:05:32.3937499Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3937949Z [2023-07-07 20:03:24,362] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_262]. 2023-07-07T20:05:32.3938185Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3938196Z 2023-07-07T20:05:32.3938561Z [2023-07-07 20:03:24,362] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3938937Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3938948Z 2023-07-07T20:05:32.3939289Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3939759Z - self: 2023-07-07T20:05:32.3940221Z - node: fx.Node(unsqueeze_262[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3940466Z - aten_name: 2023-07-07T20:05:32.3940745Z - function_overloads: 2023-07-07T20:05:32.3940929Z - onnx_args: 2023-07-07T20:05:32.3941135Z - onnx_kwargs: 2023-07-07T20:05:32.3941678Z - diagnostic_context: 2023-07-07T20:05:32.3941959Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3942462Z [2023-07-07 20:03:24,363] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_263]. 2023-07-07T20:05:32.3942716Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3942727Z 2023-07-07T20:05:32.3943129Z [2023-07-07 20:03:24,363] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3943491Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3943506Z 2023-07-07T20:05:32.3943817Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3944295Z - self: 2023-07-07T20:05:32.3944668Z - node: fx.Node(unsqueeze_263[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3944870Z - aten_name: 2023-07-07T20:05:32.3945110Z - function_overloads: 2023-07-07T20:05:32.3945323Z - onnx_args: 2023-07-07T20:05:32.3945535Z - onnx_kwargs: 2023-07-07T20:05:32.3946093Z - diagnostic_context: 2023-07-07T20:05:32.3946365Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3946872Z [2023-07-07 20:03:24,370] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_33]. 2023-07-07T20:05:32.3947139Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3947152Z 2023-07-07T20:05:32.3947518Z [2023-07-07 20:03:24,370] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3947879Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3947889Z 2023-07-07T20:05:32.3948224Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3948722Z - self: 2023-07-07T20:05:32.3949133Z - node: fx.Node(convolution_33[call_function]'aten.convolution.default') 2023-07-07T20:05:32.3949334Z - aten_name: 2023-07-07T20:05:32.3949555Z - function_overloads: 2023-07-07T20:05:32.3949764Z - onnx_args: 2023-07-07T20:05:32.3949982Z - onnx_kwargs: 2023-07-07T20:05:32.3950544Z - diagnostic_context: 2023-07-07T20:05:32.3950927Z - Return value: 2023-07-07T20:05:32.3951452Z [2023-07-07 20:03:24,373] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_66]. 2023-07-07T20:05:32.3951706Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3951716Z 2023-07-07T20:05:32.3952063Z [2023-07-07 20:03:24,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3952414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3952424Z 2023-07-07T20:05:32.3952757Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3953230Z - self: 2023-07-07T20:05:32.3953735Z - node: fx.Node(convert_element_type_66[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3953989Z - aten_name: 2023-07-07T20:05:32.3954261Z - function_overloads: 2023-07-07T20:05:32.3954467Z - onnx_args: 2023-07-07T20:05:32.3954767Z - onnx_kwargs: 2023-07-07T20:05:32.3955245Z - diagnostic_context: 2023-07-07T20:05:32.3955550Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3956067Z [2023-07-07 20:03:24,374] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_67]. 2023-07-07T20:05:32.3956328Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3956338Z 2023-07-07T20:05:32.3956739Z [2023-07-07 20:03:24,374] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3957071Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3957081Z 2023-07-07T20:05:32.3957396Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3957847Z - self: 2023-07-07T20:05:32.3958247Z - node: fx.Node(convert_element_type_67[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.3958413Z - aten_name: 2023-07-07T20:05:32.3958626Z - function_overloads: 2023-07-07T20:05:32.3958828Z - onnx_args: 2023-07-07T20:05:32.3959028Z - onnx_kwargs: 2023-07-07T20:05:32.3959571Z - diagnostic_context: 2023-07-07T20:05:32.3959916Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.3960374Z [2023-07-07 20:03:24,379] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_33]. 2023-07-07T20:05:32.3960602Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3960633Z 2023-07-07T20:05:32.3960949Z [2023-07-07 20:03:24,379] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3961270Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3961279Z 2023-07-07T20:05:32.3961577Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3962035Z - self: 2023-07-07T20:05:32.3962363Z - node: fx.Node(tensor_int_33[call_function]'aten.tensor.int') 2023-07-07T20:05:32.3962548Z - aten_name: 2023-07-07T20:05:32.3962776Z - function_overloads: 2023-07-07T20:05:32.3962978Z - onnx_args: 2023-07-07T20:05:32.3963153Z - onnx_kwargs: 2023-07-07T20:05:32.3963642Z - diagnostic_context: 2023-07-07T20:05:32.3963939Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.3964601Z [2023-07-07 20:03:24,385] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_264]. 2023-07-07T20:05:32.3964851Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3964863Z 2023-07-07T20:05:32.3965215Z [2023-07-07 20:03:24,385] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3965568Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3965579Z 2023-07-07T20:05:32.3965905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3966358Z - self: 2023-07-07T20:05:32.3966870Z - node: fx.Node(unsqueeze_264[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3967071Z - aten_name: 2023-07-07T20:05:32.3967395Z - function_overloads: 2023-07-07T20:05:32.3967663Z - onnx_args: 2023-07-07T20:05:32.3967873Z - onnx_kwargs: 2023-07-07T20:05:32.3968402Z - diagnostic_context: 2023-07-07T20:05:32.3968690Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3969178Z [2023-07-07 20:03:24,386] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_265]. 2023-07-07T20:05:32.3969426Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3969439Z 2023-07-07T20:05:32.3969778Z [2023-07-07 20:03:24,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3970194Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3970211Z 2023-07-07T20:05:32.3970782Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3971290Z - self: 2023-07-07T20:05:32.3971665Z - node: fx.Node(unsqueeze_265[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3971868Z - aten_name: 2023-07-07T20:05:32.3972086Z - function_overloads: 2023-07-07T20:05:32.3972290Z - onnx_args: 2023-07-07T20:05:32.3972500Z - onnx_kwargs: 2023-07-07T20:05:32.3973050Z - diagnostic_context: 2023-07-07T20:05:32.3973332Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3973843Z [2023-07-07 20:03:24,388] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_266]. 2023-07-07T20:05:32.3974105Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3974119Z 2023-07-07T20:05:32.3974468Z [2023-07-07 20:03:24,388] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3974823Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3974848Z 2023-07-07T20:05:32.3975163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3975633Z - self: 2023-07-07T20:05:32.3975980Z - node: fx.Node(unsqueeze_266[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3976180Z - aten_name: 2023-07-07T20:05:32.3976414Z - function_overloads: 2023-07-07T20:05:32.3976619Z - onnx_args: 2023-07-07T20:05:32.3976822Z - onnx_kwargs: 2023-07-07T20:05:32.3977337Z - diagnostic_context: 2023-07-07T20:05:32.3977619Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3978128Z [2023-07-07 20:03:24,389] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_267]. 2023-07-07T20:05:32.3978368Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3978379Z 2023-07-07T20:05:32.3978739Z [2023-07-07 20:03:24,389] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3979101Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3979111Z 2023-07-07T20:05:32.3979437Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3979923Z - self: 2023-07-07T20:05:32.3980287Z - node: fx.Node(unsqueeze_267[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3980574Z - aten_name: 2023-07-07T20:05:32.3980798Z - function_overloads: 2023-07-07T20:05:32.3981004Z - onnx_args: 2023-07-07T20:05:32.3981262Z - onnx_kwargs: 2023-07-07T20:05:32.3981840Z - diagnostic_context: 2023-07-07T20:05:32.3982129Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3982624Z [2023-07-07 20:03:24,396] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_268]. 2023-07-07T20:05:32.3982866Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3982878Z 2023-07-07T20:05:32.3983219Z [2023-07-07 20:03:24,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3983586Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3983656Z 2023-07-07T20:05:32.3983988Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3984480Z - self: 2023-07-07T20:05:32.3984863Z - node: fx.Node(unsqueeze_268[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3985070Z - aten_name: 2023-07-07T20:05:32.3985309Z - function_overloads: 2023-07-07T20:05:32.3985501Z - onnx_args: 2023-07-07T20:05:32.3985689Z - onnx_kwargs: 2023-07-07T20:05:32.3986246Z - diagnostic_context: 2023-07-07T20:05:32.3986528Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3987036Z [2023-07-07 20:03:24,397] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_269]. 2023-07-07T20:05:32.3987289Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3987306Z 2023-07-07T20:05:32.3987658Z [2023-07-07 20:03:24,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3988022Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3988040Z 2023-07-07T20:05:32.3988371Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3988845Z - self: 2023-07-07T20:05:32.3989171Z - node: fx.Node(unsqueeze_269[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3989356Z - aten_name: 2023-07-07T20:05:32.3989587Z - function_overloads: 2023-07-07T20:05:32.3989773Z - onnx_args: 2023-07-07T20:05:32.3989979Z - onnx_kwargs: 2023-07-07T20:05:32.3990518Z - diagnostic_context: 2023-07-07T20:05:32.3990813Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3991268Z [2023-07-07 20:03:24,402] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_270]. 2023-07-07T20:05:32.3991518Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3991534Z 2023-07-07T20:05:32.3991861Z [2023-07-07 20:03:24,402] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3992202Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3992212Z 2023-07-07T20:05:32.3992520Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3992984Z - self: 2023-07-07T20:05:32.3993344Z - node: fx.Node(unsqueeze_270[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3993535Z - aten_name: 2023-07-07T20:05:32.3993765Z - function_overloads: 2023-07-07T20:05:32.3994038Z - onnx_args: 2023-07-07T20:05:32.3994235Z - onnx_kwargs: 2023-07-07T20:05:32.3994865Z - diagnostic_context: 2023-07-07T20:05:32.3995241Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3995731Z [2023-07-07 20:03:24,403] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_271]. 2023-07-07T20:05:32.3995985Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.3995997Z 2023-07-07T20:05:32.3996335Z [2023-07-07 20:03:24,403] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.3996678Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.3996687Z 2023-07-07T20:05:32.3997024Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.3997486Z - self: 2023-07-07T20:05:32.3997845Z - node: fx.Node(unsqueeze_271[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.3998028Z - aten_name: 2023-07-07T20:05:32.3998268Z - function_overloads: 2023-07-07T20:05:32.3998474Z - onnx_args: 2023-07-07T20:05:32.3998684Z - onnx_kwargs: 2023-07-07T20:05:32.3999200Z - diagnostic_context: 2023-07-07T20:05:32.3999448Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.3999936Z [2023-07-07 20:03:24,407] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_34]. 2023-07-07T20:05:32.4000192Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4000204Z 2023-07-07T20:05:32.4000550Z [2023-07-07 20:03:24,407] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4000907Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4000922Z 2023-07-07T20:05:32.4001250Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4001743Z - self: 2023-07-07T20:05:32.4002138Z - node: fx.Node(convolution_34[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4002340Z - aten_name: 2023-07-07T20:05:32.4002547Z - function_overloads: 2023-07-07T20:05:32.4002738Z - onnx_args: 2023-07-07T20:05:32.4002942Z - onnx_kwargs: 2023-07-07T20:05:32.4003494Z - diagnostic_context: 2023-07-07T20:05:32.4003886Z - Return value: 2023-07-07T20:05:32.4004610Z [2023-07-07 20:03:24,411] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_68]. 2023-07-07T20:05:32.4004896Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4004913Z 2023-07-07T20:05:32.4005232Z [2023-07-07 20:03:24,411] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4005602Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4005613Z 2023-07-07T20:05:32.4005935Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4006393Z - self: 2023-07-07T20:05:32.4006810Z - node: fx.Node(convert_element_type_68[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4006998Z - aten_name: 2023-07-07T20:05:32.4007232Z - function_overloads: 2023-07-07T20:05:32.4007431Z - onnx_args: 2023-07-07T20:05:32.4007769Z - onnx_kwargs: 2023-07-07T20:05:32.4008301Z - diagnostic_context: 2023-07-07T20:05:32.4008798Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4009366Z [2023-07-07 20:03:24,414] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_69]. 2023-07-07T20:05:32.4009645Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4009656Z 2023-07-07T20:05:32.4010010Z [2023-07-07 20:03:24,414] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4010376Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4010387Z 2023-07-07T20:05:32.4010839Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4011316Z - self: 2023-07-07T20:05:32.4011737Z - node: fx.Node(convert_element_type_69[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4011922Z - aten_name: 2023-07-07T20:05:32.4012148Z - function_overloads: 2023-07-07T20:05:32.4012343Z - onnx_args: 2023-07-07T20:05:32.4012540Z - onnx_kwargs: 2023-07-07T20:05:32.4013082Z - diagnostic_context: 2023-07-07T20:05:32.4013421Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4013896Z [2023-07-07 20:03:24,420] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_34]. 2023-07-07T20:05:32.4014124Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4014158Z 2023-07-07T20:05:32.4014475Z [2023-07-07 20:03:24,420] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4014825Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4014839Z 2023-07-07T20:05:32.4015157Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4015621Z - self: 2023-07-07T20:05:32.4015938Z - node: fx.Node(tensor_int_34[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4016142Z - aten_name: 2023-07-07T20:05:32.4016372Z - function_overloads: 2023-07-07T20:05:32.4016575Z - onnx_args: 2023-07-07T20:05:32.4016767Z - onnx_kwargs: 2023-07-07T20:05:32.4017322Z - diagnostic_context: 2023-07-07T20:05:32.4017594Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4018083Z [2023-07-07 20:03:24,427] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_272]. 2023-07-07T20:05:32.4018327Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4018341Z 2023-07-07T20:05:32.4018693Z [2023-07-07 20:03:24,427] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4019061Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4019073Z 2023-07-07T20:05:32.4019410Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4019867Z - self: 2023-07-07T20:05:32.4020232Z - node: fx.Node(unsqueeze_272[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4020436Z - aten_name: 2023-07-07T20:05:32.4020674Z - function_overloads: 2023-07-07T20:05:32.4020890Z - onnx_args: 2023-07-07T20:05:32.4021104Z - onnx_kwargs: 2023-07-07T20:05:32.4021776Z - diagnostic_context: 2023-07-07T20:05:32.4022113Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4022642Z [2023-07-07 20:03:24,428] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_273]. 2023-07-07T20:05:32.4022903Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4022915Z 2023-07-07T20:05:32.4023284Z [2023-07-07 20:03:24,428] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4023636Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4023645Z 2023-07-07T20:05:32.4023979Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4024521Z - self: 2023-07-07T20:05:32.4024851Z - node: fx.Node(unsqueeze_273[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4025029Z - aten_name: 2023-07-07T20:05:32.4025249Z - function_overloads: 2023-07-07T20:05:32.4025460Z - onnx_args: 2023-07-07T20:05:32.4025677Z - onnx_kwargs: 2023-07-07T20:05:32.4026262Z - diagnostic_context: 2023-07-07T20:05:32.4026544Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4027006Z [2023-07-07 20:03:24,430] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_274]. 2023-07-07T20:05:32.4027227Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4027236Z 2023-07-07T20:05:32.4027544Z [2023-07-07 20:03:24,430] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4027865Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4027897Z 2023-07-07T20:05:32.4028211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4028704Z - self: 2023-07-07T20:05:32.4029054Z - node: fx.Node(unsqueeze_274[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4029259Z - aten_name: 2023-07-07T20:05:32.4029501Z - function_overloads: 2023-07-07T20:05:32.4029715Z - onnx_args: 2023-07-07T20:05:32.4029925Z - onnx_kwargs: 2023-07-07T20:05:32.4030455Z - diagnostic_context: 2023-07-07T20:05:32.4030713Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4031211Z [2023-07-07 20:03:24,431] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_275]. 2023-07-07T20:05:32.4031468Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4031483Z 2023-07-07T20:05:32.4031844Z [2023-07-07 20:03:24,431] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4032202Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4032213Z 2023-07-07T20:05:32.4032526Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4033003Z - self: 2023-07-07T20:05:32.4033373Z - node: fx.Node(unsqueeze_275[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4033564Z - aten_name: 2023-07-07T20:05:32.4033789Z - function_overloads: 2023-07-07T20:05:32.4033984Z - onnx_args: 2023-07-07T20:05:32.4034187Z - onnx_kwargs: 2023-07-07T20:05:32.4034841Z - diagnostic_context: 2023-07-07T20:05:32.4035244Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4035795Z [2023-07-07 20:03:24,437] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_276]. 2023-07-07T20:05:32.4036067Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4036095Z 2023-07-07T20:05:32.4036420Z [2023-07-07 20:03:24,437] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4036772Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4036782Z 2023-07-07T20:05:32.4037102Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4037582Z - self: 2023-07-07T20:05:32.4038030Z - node: fx.Node(unsqueeze_276[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4038245Z - aten_name: 2023-07-07T20:05:32.4038476Z - function_overloads: 2023-07-07T20:05:32.4038685Z - onnx_args: 2023-07-07T20:05:32.4038878Z - onnx_kwargs: 2023-07-07T20:05:32.4039398Z - diagnostic_context: 2023-07-07T20:05:32.4039684Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4040174Z [2023-07-07 20:03:24,438] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_277]. 2023-07-07T20:05:32.4040435Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4040447Z 2023-07-07T20:05:32.4040803Z [2023-07-07 20:03:24,438] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4041157Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4041168Z 2023-07-07T20:05:32.4041497Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4041972Z - self: 2023-07-07T20:05:32.4042342Z - node: fx.Node(unsqueeze_277[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4042543Z - aten_name: 2023-07-07T20:05:32.4042778Z - function_overloads: 2023-07-07T20:05:32.4042978Z - onnx_args: 2023-07-07T20:05:32.4043179Z - onnx_kwargs: 2023-07-07T20:05:32.4043711Z - diagnostic_context: 2023-07-07T20:05:32.4043995Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4044643Z [2023-07-07 20:03:24,442] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_278]. 2023-07-07T20:05:32.4044866Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4044882Z 2023-07-07T20:05:32.4045232Z [2023-07-07 20:03:24,442] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4045597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4045611Z 2023-07-07T20:05:32.4045964Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4046421Z - self: 2023-07-07T20:05:32.4046766Z - node: fx.Node(unsqueeze_278[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4046963Z - aten_name: 2023-07-07T20:05:32.4047189Z - function_overloads: 2023-07-07T20:05:32.4047363Z - onnx_args: 2023-07-07T20:05:32.4047561Z - onnx_kwargs: 2023-07-07T20:05:32.4048113Z - diagnostic_context: 2023-07-07T20:05:32.4048391Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4049036Z [2023-07-07 20:03:24,443] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_279]. 2023-07-07T20:05:32.4049353Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4049414Z 2023-07-07T20:05:32.4049785Z [2023-07-07 20:03:24,444] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4050158Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4050169Z 2023-07-07T20:05:32.4050485Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4050963Z - self: 2023-07-07T20:05:32.4051312Z - node: fx.Node(unsqueeze_279[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4051517Z - aten_name: 2023-07-07T20:05:32.4051834Z - function_overloads: 2023-07-07T20:05:32.4052045Z - onnx_args: 2023-07-07T20:05:32.4052246Z - onnx_kwargs: 2023-07-07T20:05:32.4052707Z - diagnostic_context: 2023-07-07T20:05:32.4052980Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4053388Z [2023-07-07 20:03:24,452] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_9]. 2023-07-07T20:05:32.4053618Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4053629Z 2023-07-07T20:05:32.4053961Z [2023-07-07 20:03:24,452] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4054304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4054316Z 2023-07-07T20:05:32.4054613Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4055078Z - self: 2023-07-07T20:05:32.4055386Z - node: fx.Node(cat_9[call_function]'aten.cat.default') 2023-07-07T20:05:32.4055561Z - aten_name: 2023-07-07T20:05:32.4055796Z - function_overloads: 2023-07-07T20:05:32.4055989Z - onnx_args: 2023-07-07T20:05:32.4056179Z - onnx_kwargs: 2023-07-07T20:05:32.4056697Z - diagnostic_context: 2023-07-07T20:05:32.4056950Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.4057404Z [2023-07-07 20:03:24,456] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_9]. 2023-07-07T20:05:32.4057643Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4057654Z 2023-07-07T20:05:32.4057997Z [2023-07-07 20:03:24,456] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4058364Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4058378Z 2023-07-07T20:05:32.4058694Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4059186Z - self: 2023-07-07T20:05:32.4059537Z - node: fx.Node(transpose_9[call_function]'aten.transpose.int') 2023-07-07T20:05:32.4059743Z - aten_name: 2023-07-07T20:05:32.4059982Z - function_overloads: 2023-07-07T20:05:32.4060192Z - onnx_args: 2023-07-07T20:05:32.4060390Z - onnx_kwargs: 2023-07-07T20:05:32.4060926Z - diagnostic_context: 2023-07-07T20:05:32.4061285Z - Return value: 2023-07-07T20:05:32.4061736Z [2023-07-07 20:03:24,458] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_9]. 2023-07-07T20:05:32.4062076Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4062086Z 2023-07-07T20:05:32.4062420Z [2023-07-07 20:03:24,458] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4062913Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4062925Z 2023-07-07T20:05:32.4063248Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4063706Z - self: 2023-07-07T20:05:32.4064016Z - node: fx.Node(clone_9[call_function]'aten.clone.default') 2023-07-07T20:05:32.4064212Z - aten_name: 2023-07-07T20:05:32.4064425Z - function_overloads: 2023-07-07T20:05:32.4064611Z - onnx_args: 2023-07-07T20:05:32.4064799Z - onnx_kwargs: 2023-07-07T20:05:32.4065385Z - diagnostic_context: 2023-07-07T20:05:32.4065640Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.4065988Z [2023-07-07 20:03:24,462] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_8]. 2023-07-07T20:05:32.4066206Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4066216Z 2023-07-07T20:05:32.4066559Z [2023-07-07 20:03:24,462] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4066851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4066861Z 2023-07-07T20:05:32.4067147Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4067588Z - self: 2023-07-07T20:05:32.4067901Z - node: fx.Node(split_8[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.4068101Z - aten_name: 2023-07-07T20:05:32.4068334Z - function_overloads: 2023-07-07T20:05:32.4068526Z - onnx_args: 2023-07-07T20:05:32.4068734Z - onnx_kwargs: 2023-07-07T20:05:32.4069289Z - diagnostic_context: 2023-07-07T20:05:32.4069554Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.4070060Z [2023-07-07 20:03:24,463] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_18]. 2023-07-07T20:05:32.4070318Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4070332Z 2023-07-07T20:05:32.4070694Z [2023-07-07 20:03:24,463] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4071067Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4071079Z 2023-07-07T20:05:32.4071407Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4071905Z - self: 2023-07-07T20:05:32.4072301Z - node: fx.Node(getitem_18[call_function]'') 2023-07-07T20:05:32.4072507Z - aten_name: 2023-07-07T20:05:32.4072760Z - function_overloads: 2023-07-07T20:05:32.4072965Z - onnx_args: 2023-07-07T20:05:32.4073172Z - onnx_kwargs: 2023-07-07T20:05:32.4073707Z - diagnostic_context: 2023-07-07T20:05:32.4073979Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4074482Z [2023-07-07 20:03:24,465] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_19]. 2023-07-07T20:05:32.4074824Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4074836Z 2023-07-07T20:05:32.4075218Z [2023-07-07 20:03:24,465] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4075698Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4075756Z 2023-07-07T20:05:32.4076144Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4076652Z - self: 2023-07-07T20:05:32.4077027Z - node: fx.Node(getitem_19[call_function]'') 2023-07-07T20:05:32.4077220Z - aten_name: 2023-07-07T20:05:32.4077444Z - function_overloads: 2023-07-07T20:05:32.4077639Z - onnx_args: 2023-07-07T20:05:32.4077837Z - onnx_kwargs: 2023-07-07T20:05:32.4078378Z - diagnostic_context: 2023-07-07T20:05:32.4078721Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4079225Z [2023-07-07 20:03:24,467] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_35]. 2023-07-07T20:05:32.4079473Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4079488Z 2023-07-07T20:05:32.4079812Z [2023-07-07 20:03:24,467] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4080177Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4080188Z 2023-07-07T20:05:32.4080525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4080996Z - self: 2023-07-07T20:05:32.4081388Z - node: fx.Node(convolution_35[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4081597Z - aten_name: 2023-07-07T20:05:32.4081842Z - function_overloads: 2023-07-07T20:05:32.4082049Z - onnx_args: 2023-07-07T20:05:32.4082241Z - onnx_kwargs: 2023-07-07T20:05:32.4082772Z - diagnostic_context: 2023-07-07T20:05:32.4083151Z - Return value: 2023-07-07T20:05:32.4083717Z [2023-07-07 20:03:24,471] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_70]. 2023-07-07T20:05:32.4083996Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4084006Z 2023-07-07T20:05:32.4084523Z [2023-07-07 20:03:24,472] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4084890Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4084901Z 2023-07-07T20:05:32.4085244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4085759Z - self: 2023-07-07T20:05:32.4086202Z - node: fx.Node(convert_element_type_70[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4086405Z - aten_name: 2023-07-07T20:05:32.4086644Z - function_overloads: 2023-07-07T20:05:32.4086857Z - onnx_args: 2023-07-07T20:05:32.4087064Z - onnx_kwargs: 2023-07-07T20:05:32.4087619Z - diagnostic_context: 2023-07-07T20:05:32.4087942Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4088506Z [2023-07-07 20:03:24,473] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_71]. 2023-07-07T20:05:32.4088766Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4088783Z 2023-07-07T20:05:32.4089132Z [2023-07-07 20:03:24,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4089616Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4089688Z 2023-07-07T20:05:32.4090077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4090579Z - self: 2023-07-07T20:05:32.4091025Z - node: fx.Node(convert_element_type_71[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4091220Z - aten_name: 2023-07-07T20:05:32.4091438Z - function_overloads: 2023-07-07T20:05:32.4091621Z - onnx_args: 2023-07-07T20:05:32.4091822Z - onnx_kwargs: 2023-07-07T20:05:32.4092331Z - diagnostic_context: 2023-07-07T20:05:32.4092762Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4093230Z [2023-07-07 20:03:24,479] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_35]. 2023-07-07T20:05:32.4093483Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4093494Z 2023-07-07T20:05:32.4093828Z [2023-07-07 20:03:24,479] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4094195Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4094205Z 2023-07-07T20:05:32.4094516Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4094986Z - self: 2023-07-07T20:05:32.4095308Z - node: fx.Node(tensor_int_35[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4095508Z - aten_name: 2023-07-07T20:05:32.4095752Z - function_overloads: 2023-07-07T20:05:32.4095956Z - onnx_args: 2023-07-07T20:05:32.4096162Z - onnx_kwargs: 2023-07-07T20:05:32.4096688Z - diagnostic_context: 2023-07-07T20:05:32.4096947Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4097413Z [2023-07-07 20:03:24,486] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_280]. 2023-07-07T20:05:32.4097659Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4097670Z 2023-07-07T20:05:32.4097997Z [2023-07-07 20:03:24,486] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4098317Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4098329Z 2023-07-07T20:05:32.4098653Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4099159Z - self: 2023-07-07T20:05:32.4099517Z - node: fx.Node(unsqueeze_280[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4099723Z - aten_name: 2023-07-07T20:05:32.4099960Z - function_overloads: 2023-07-07T20:05:32.4100170Z - onnx_args: 2023-07-07T20:05:32.4100375Z - onnx_kwargs: 2023-07-07T20:05:32.4100920Z - diagnostic_context: 2023-07-07T20:05:32.4101203Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4101715Z [2023-07-07 20:03:24,488] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_281]. 2023-07-07T20:05:32.4101961Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4101973Z 2023-07-07T20:05:32.4102342Z [2023-07-07 20:03:24,488] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4102707Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4102836Z 2023-07-07T20:05:32.4103255Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4103721Z - self: 2023-07-07T20:05:32.4104054Z - node: fx.Node(unsqueeze_281[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4104227Z - aten_name: 2023-07-07T20:05:32.4104453Z - function_overloads: 2023-07-07T20:05:32.4104646Z - onnx_args: 2023-07-07T20:05:32.4104848Z - onnx_kwargs: 2023-07-07T20:05:32.4105371Z - diagnostic_context: 2023-07-07T20:05:32.4105628Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4106188Z [2023-07-07 20:03:24,489] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_282]. 2023-07-07T20:05:32.4106446Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4106456Z 2023-07-07T20:05:32.4106795Z [2023-07-07 20:03:24,489] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4107150Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4107161Z 2023-07-07T20:05:32.4107490Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4107980Z - self: 2023-07-07T20:05:32.4108353Z - node: fx.Node(unsqueeze_282[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4108544Z - aten_name: 2023-07-07T20:05:32.4108781Z - function_overloads: 2023-07-07T20:05:32.4108984Z - onnx_args: 2023-07-07T20:05:32.4109195Z - onnx_kwargs: 2023-07-07T20:05:32.4109719Z - diagnostic_context: 2023-07-07T20:05:32.4110008Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4110517Z [2023-07-07 20:03:24,491] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_283]. 2023-07-07T20:05:32.4110750Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4110778Z 2023-07-07T20:05:32.4111127Z [2023-07-07 20:03:24,491] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4111493Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4111504Z 2023-07-07T20:05:32.4111822Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4112313Z - self: 2023-07-07T20:05:32.4112679Z - node: fx.Node(unsqueeze_283[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4112887Z - aten_name: 2023-07-07T20:05:32.4113123Z - function_overloads: 2023-07-07T20:05:32.4113334Z - onnx_args: 2023-07-07T20:05:32.4113527Z - onnx_kwargs: 2023-07-07T20:05:32.4114075Z - diagnostic_context: 2023-07-07T20:05:32.4114356Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4114928Z [2023-07-07 20:03:24,496] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_284]. 2023-07-07T20:05:32.4115178Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4115187Z 2023-07-07T20:05:32.4115539Z [2023-07-07 20:03:24,496] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4115911Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4116064Z 2023-07-07T20:05:32.4116397Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4116983Z - self: 2023-07-07T20:05:32.4117366Z - node: fx.Node(unsqueeze_284[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4117572Z - aten_name: 2023-07-07T20:05:32.4117784Z - function_overloads: 2023-07-07T20:05:32.4117961Z - onnx_args: 2023-07-07T20:05:32.4118142Z - onnx_kwargs: 2023-07-07T20:05:32.4118591Z - diagnostic_context: 2023-07-07T20:05:32.4118823Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4119256Z [2023-07-07 20:03:24,498] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_285]. 2023-07-07T20:05:32.4119558Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4119576Z 2023-07-07T20:05:32.4119922Z [2023-07-07 20:03:24,498] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4120287Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4120297Z 2023-07-07T20:05:32.4120607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4121047Z - self: 2023-07-07T20:05:32.4121389Z - node: fx.Node(unsqueeze_285[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4121570Z - aten_name: 2023-07-07T20:05:32.4121757Z - function_overloads: 2023-07-07T20:05:32.4121968Z - onnx_args: 2023-07-07T20:05:32.4122165Z - onnx_kwargs: 2023-07-07T20:05:32.4122725Z - diagnostic_context: 2023-07-07T20:05:32.4123018Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4123534Z [2023-07-07 20:03:24,502] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_286]. 2023-07-07T20:05:32.4123801Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4123812Z 2023-07-07T20:05:32.4124167Z [2023-07-07 20:03:24,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4124698Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4124712Z 2023-07-07T20:05:32.4124980Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4125427Z - self: 2023-07-07T20:05:32.4125783Z - node: fx.Node(unsqueeze_286[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4125982Z - aten_name: 2023-07-07T20:05:32.4126221Z - function_overloads: 2023-07-07T20:05:32.4126423Z - onnx_args: 2023-07-07T20:05:32.4126621Z - onnx_kwargs: 2023-07-07T20:05:32.4127104Z - diagnostic_context: 2023-07-07T20:05:32.4127379Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4127842Z [2023-07-07 20:03:24,504] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_287]. 2023-07-07T20:05:32.4128084Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4128096Z 2023-07-07T20:05:32.4128434Z [2023-07-07 20:03:24,504] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4128782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4128792Z 2023-07-07T20:05:32.4129114Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4129690Z - self: 2023-07-07T20:05:32.4130171Z - node: fx.Node(unsqueeze_287[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4130362Z - aten_name: 2023-07-07T20:05:32.4130600Z - function_overloads: 2023-07-07T20:05:32.4130805Z - onnx_args: 2023-07-07T20:05:32.4131006Z - onnx_kwargs: 2023-07-07T20:05:32.4131534Z - diagnostic_context: 2023-07-07T20:05:32.4131808Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4132280Z [2023-07-07 20:03:24,513] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_36]. 2023-07-07T20:05:32.4132533Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4132544Z 2023-07-07T20:05:32.4132971Z [2023-07-07 20:03:24,513] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4133328Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4133341Z 2023-07-07T20:05:32.4133651Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4134110Z - self: 2023-07-07T20:05:32.4134498Z - node: fx.Node(convolution_36[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4134698Z - aten_name: 2023-07-07T20:05:32.4134920Z - function_overloads: 2023-07-07T20:05:32.4135122Z - onnx_args: 2023-07-07T20:05:32.4135298Z - onnx_kwargs: 2023-07-07T20:05:32.4135810Z - diagnostic_context: 2023-07-07T20:05:32.4136205Z - Return value: 2023-07-07T20:05:32.4136765Z [2023-07-07 20:03:24,517] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_72]. 2023-07-07T20:05:32.4137042Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4137052Z 2023-07-07T20:05:32.4137388Z [2023-07-07 20:03:24,517] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4137755Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4137766Z 2023-07-07T20:05:32.4138096Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4138569Z - self: 2023-07-07T20:05:32.4138980Z - node: fx.Node(convert_element_type_72[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4139182Z - aten_name: 2023-07-07T20:05:32.4139411Z - function_overloads: 2023-07-07T20:05:32.4139614Z - onnx_args: 2023-07-07T20:05:32.4139809Z - onnx_kwargs: 2023-07-07T20:05:32.4140351Z - diagnostic_context: 2023-07-07T20:05:32.4140679Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4141252Z [2023-07-07 20:03:24,519] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_73]. 2023-07-07T20:05:32.4141514Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4141524Z 2023-07-07T20:05:32.4141873Z [2023-07-07 20:03:24,519] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4142244Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4142254Z 2023-07-07T20:05:32.4142587Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4143171Z - self: 2023-07-07T20:05:32.4143702Z - node: fx.Node(convert_element_type_73[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4143913Z - aten_name: 2023-07-07T20:05:32.4144149Z - function_overloads: 2023-07-07T20:05:32.4144340Z - onnx_args: 2023-07-07T20:05:32.4144535Z - onnx_kwargs: 2023-07-07T20:05:32.4145074Z - diagnostic_context: 2023-07-07T20:05:32.4145419Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4145902Z [2023-07-07 20:03:24,525] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_36]. 2023-07-07T20:05:32.4146157Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4146234Z 2023-07-07T20:05:32.4146579Z [2023-07-07 20:03:24,525] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4146943Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4146961Z 2023-07-07T20:05:32.4147293Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4147780Z - self: 2023-07-07T20:05:32.4148096Z - node: fx.Node(tensor_int_36[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4148278Z - aten_name: 2023-07-07T20:05:32.4148512Z - function_overloads: 2023-07-07T20:05:32.4148712Z - onnx_args: 2023-07-07T20:05:32.4148921Z - onnx_kwargs: 2023-07-07T20:05:32.4149413Z - diagnostic_context: 2023-07-07T20:05:32.4149655Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4150158Z [2023-07-07 20:03:24,531] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_288]. 2023-07-07T20:05:32.4150421Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4150436Z 2023-07-07T20:05:32.4150789Z [2023-07-07 20:03:24,531] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4151125Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4151136Z 2023-07-07T20:05:32.4151438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4151889Z - self: 2023-07-07T20:05:32.4152241Z - node: fx.Node(unsqueeze_288[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4152444Z - aten_name: 2023-07-07T20:05:32.4152651Z - function_overloads: 2023-07-07T20:05:32.4152848Z - onnx_args: 2023-07-07T20:05:32.4153054Z - onnx_kwargs: 2023-07-07T20:05:32.4153565Z - diagnostic_context: 2023-07-07T20:05:32.4153846Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4154328Z [2023-07-07 20:03:24,532] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_289]. 2023-07-07T20:05:32.4156624Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4156650Z 2023-07-07T20:05:32.4163130Z [2023-07-07 20:03:24,533] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4163628Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4163640Z 2023-07-07T20:05:32.4163939Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4164594Z - self: 2023-07-07T20:05:32.4165090Z - node: fx.Node(unsqueeze_289[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4165362Z - aten_name: 2023-07-07T20:05:32.4165576Z - function_overloads: 2023-07-07T20:05:32.4165783Z - onnx_args: 2023-07-07T20:05:32.4165978Z - onnx_kwargs: 2023-07-07T20:05:32.4166500Z - diagnostic_context: 2023-07-07T20:05:32.4166810Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4167319Z [2023-07-07 20:03:24,534] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_290]. 2023-07-07T20:05:32.4167581Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4167593Z 2023-07-07T20:05:32.4167959Z [2023-07-07 20:03:24,534] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4168317Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4168333Z 2023-07-07T20:05:32.4168630Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4169086Z - self: 2023-07-07T20:05:32.4169429Z - node: fx.Node(unsqueeze_290[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4169628Z - aten_name: 2023-07-07T20:05:32.4169843Z - function_overloads: 2023-07-07T20:05:32.4170012Z - onnx_args: 2023-07-07T20:05:32.4170197Z - onnx_kwargs: 2023-07-07T20:05:32.4170728Z - diagnostic_context: 2023-07-07T20:05:32.4171004Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4171498Z [2023-07-07 20:03:24,535] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_291]. 2023-07-07T20:05:32.4171751Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4171762Z 2023-07-07T20:05:32.4172118Z [2023-07-07 20:03:24,535] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4172476Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4172487Z 2023-07-07T20:05:32.4172799Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4173282Z - self: 2023-07-07T20:05:32.4173658Z - node: fx.Node(unsqueeze_291[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4173850Z - aten_name: 2023-07-07T20:05:32.4174087Z - function_overloads: 2023-07-07T20:05:32.4174290Z - onnx_args: 2023-07-07T20:05:32.4174491Z - onnx_kwargs: 2023-07-07T20:05:32.4175038Z - diagnostic_context: 2023-07-07T20:05:32.4175300Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4175807Z [2023-07-07 20:03:24,541] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_292]. 2023-07-07T20:05:32.4176069Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4176080Z 2023-07-07T20:05:32.4176588Z [2023-07-07 20:03:24,541] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4177007Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4177019Z 2023-07-07T20:05:32.4177333Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4177793Z - self: 2023-07-07T20:05:32.4178156Z - node: fx.Node(unsqueeze_292[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4178425Z - aten_name: 2023-07-07T20:05:32.4178641Z - function_overloads: 2023-07-07T20:05:32.4178893Z - onnx_args: 2023-07-07T20:05:32.4179101Z - onnx_kwargs: 2023-07-07T20:05:32.4179620Z - diagnostic_context: 2023-07-07T20:05:32.4179890Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4180374Z [2023-07-07 20:03:24,542] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_293]. 2023-07-07T20:05:32.4180621Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4180633Z 2023-07-07T20:05:32.4180953Z [2023-07-07 20:03:24,542] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4181286Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4181300Z 2023-07-07T20:05:32.4181616Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4182099Z - self: 2023-07-07T20:05:32.4182473Z - node: fx.Node(unsqueeze_293[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4182680Z - aten_name: 2023-07-07T20:05:32.4182905Z - function_overloads: 2023-07-07T20:05:32.4183109Z - onnx_args: 2023-07-07T20:05:32.4183294Z - onnx_kwargs: 2023-07-07T20:05:32.4183810Z - diagnostic_context: 2023-07-07T20:05:32.4184058Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4184539Z [2023-07-07 20:03:24,545] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_294]. 2023-07-07T20:05:32.4184786Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4184802Z 2023-07-07T20:05:32.4185149Z [2023-07-07 20:03:24,546] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4185515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4185526Z 2023-07-07T20:05:32.4185848Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4186310Z - self: 2023-07-07T20:05:32.4186651Z - node: fx.Node(unsqueeze_294[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4186855Z - aten_name: 2023-07-07T20:05:32.4187090Z - function_overloads: 2023-07-07T20:05:32.4187300Z - onnx_args: 2023-07-07T20:05:32.4187506Z - onnx_kwargs: 2023-07-07T20:05:32.4188044Z - diagnostic_context: 2023-07-07T20:05:32.4188322Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4188810Z [2023-07-07 20:03:24,547] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_295]. 2023-07-07T20:05:32.4189070Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4189081Z 2023-07-07T20:05:32.4189427Z [2023-07-07 20:03:24,547] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4189895Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4189908Z 2023-07-07T20:05:32.4190301Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4190811Z - self: 2023-07-07T20:05:32.4191181Z - node: fx.Node(unsqueeze_295[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4191381Z - aten_name: 2023-07-07T20:05:32.4191662Z - function_overloads: 2023-07-07T20:05:32.4191848Z - onnx_args: 2023-07-07T20:05:32.4192054Z - onnx_kwargs: 2023-07-07T20:05:32.4192633Z - diagnostic_context: 2023-07-07T20:05:32.4192922Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4193416Z [2023-07-07 20:03:24,551] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_37]. 2023-07-07T20:05:32.4193683Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4193694Z 2023-07-07T20:05:32.4194027Z [2023-07-07 20:03:24,551] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4194374Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4194385Z 2023-07-07T20:05:32.4194815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4195283Z - self: 2023-07-07T20:05:32.4195690Z - node: fx.Node(convolution_37[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4195894Z - aten_name: 2023-07-07T20:05:32.4196129Z - function_overloads: 2023-07-07T20:05:32.4196340Z - onnx_args: 2023-07-07T20:05:32.4196538Z - onnx_kwargs: 2023-07-07T20:05:32.4197065Z - diagnostic_context: 2023-07-07T20:05:32.4197438Z - Return value: 2023-07-07T20:05:32.4197994Z [2023-07-07 20:03:24,555] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_74]. 2023-07-07T20:05:32.4198262Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4198274Z 2023-07-07T20:05:32.4198621Z [2023-07-07 20:03:24,555] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4198972Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4198985Z 2023-07-07T20:05:32.4199312Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4199763Z - self: 2023-07-07T20:05:32.4200184Z - node: fx.Node(convert_element_type_74[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4200391Z - aten_name: 2023-07-07T20:05:32.4200585Z - function_overloads: 2023-07-07T20:05:32.4200771Z - onnx_args: 2023-07-07T20:05:32.4200975Z - onnx_kwargs: 2023-07-07T20:05:32.4201520Z - diagnostic_context: 2023-07-07T20:05:32.4201849Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4202435Z [2023-07-07 20:03:24,556] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_75]. 2023-07-07T20:05:32.4202724Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4202734Z 2023-07-07T20:05:32.4203090Z [2023-07-07 20:03:24,557] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4203537Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4203571Z 2023-07-07T20:05:32.4203938Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4204598Z - self: 2023-07-07T20:05:32.4205035Z - node: fx.Node(convert_element_type_75[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4205229Z - aten_name: 2023-07-07T20:05:32.4205575Z - function_overloads: 2023-07-07T20:05:32.4205786Z - onnx_args: 2023-07-07T20:05:32.4206076Z - onnx_kwargs: 2023-07-07T20:05:32.4206593Z - diagnostic_context: 2023-07-07T20:05:32.4206903Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4207356Z [2023-07-07 20:03:24,562] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_37]. 2023-07-07T20:05:32.4207612Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4207629Z 2023-07-07T20:05:32.4207982Z [2023-07-07 20:03:24,563] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4208339Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4208350Z 2023-07-07T20:05:32.4208669Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4209172Z - self: 2023-07-07T20:05:32.4209513Z - node: fx.Node(tensor_int_37[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4209701Z - aten_name: 2023-07-07T20:05:32.4209931Z - function_overloads: 2023-07-07T20:05:32.4210129Z - onnx_args: 2023-07-07T20:05:32.4210329Z - onnx_kwargs: 2023-07-07T20:05:32.4210890Z - diagnostic_context: 2023-07-07T20:05:32.4211189Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4211700Z [2023-07-07 20:03:24,570] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_296]. 2023-07-07T20:05:32.4211950Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4211978Z 2023-07-07T20:05:32.4212326Z [2023-07-07 20:03:24,570] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4212708Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4212723Z 2023-07-07T20:05:32.4213051Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4213525Z - self: 2023-07-07T20:05:32.4213905Z - node: fx.Node(unsqueeze_296[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4214110Z - aten_name: 2023-07-07T20:05:32.4214348Z - function_overloads: 2023-07-07T20:05:32.4214558Z - onnx_args: 2023-07-07T20:05:32.4214745Z - onnx_kwargs: 2023-07-07T20:05:32.4215257Z - diagnostic_context: 2023-07-07T20:05:32.4215536Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4216058Z [2023-07-07 20:03:24,571] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_297]. 2023-07-07T20:05:32.4216322Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4216339Z 2023-07-07T20:05:32.4216687Z [2023-07-07 20:03:24,571] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4217022Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4217155Z 2023-07-07T20:05:32.4217468Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4218026Z - self: 2023-07-07T20:05:32.4218383Z - node: fx.Node(unsqueeze_297[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4218585Z - aten_name: 2023-07-07T20:05:32.4218820Z - function_overloads: 2023-07-07T20:05:32.4219068Z - onnx_args: 2023-07-07T20:05:32.4219269Z - onnx_kwargs: 2023-07-07T20:05:32.4219793Z - diagnostic_context: 2023-07-07T20:05:32.4220140Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4220623Z [2023-07-07 20:03:24,573] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_298]. 2023-07-07T20:05:32.4220876Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4220893Z 2023-07-07T20:05:32.4221252Z [2023-07-07 20:03:24,573] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4221618Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4221628Z 2023-07-07T20:05:32.4221935Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4222420Z - self: 2023-07-07T20:05:32.4222808Z - node: fx.Node(unsqueeze_298[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4223020Z - aten_name: 2023-07-07T20:05:32.4223259Z - function_overloads: 2023-07-07T20:05:32.4223453Z - onnx_args: 2023-07-07T20:05:32.4223665Z - onnx_kwargs: 2023-07-07T20:05:32.4224228Z - diagnostic_context: 2023-07-07T20:05:32.4224524Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4225035Z [2023-07-07 20:03:24,574] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_299]. 2023-07-07T20:05:32.4225295Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4225308Z 2023-07-07T20:05:32.4225670Z [2023-07-07 20:03:24,574] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4226041Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4226057Z 2023-07-07T20:05:32.4226342Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4226806Z - self: 2023-07-07T20:05:32.4227145Z - node: fx.Node(unsqueeze_299[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4227330Z - aten_name: 2023-07-07T20:05:32.4227557Z - function_overloads: 2023-07-07T20:05:32.4227748Z - onnx_args: 2023-07-07T20:05:32.4227948Z - onnx_kwargs: 2023-07-07T20:05:32.4228456Z - diagnostic_context: 2023-07-07T20:05:32.4228714Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4229202Z [2023-07-07 20:03:24,580] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_300]. 2023-07-07T20:05:32.4229457Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4229469Z 2023-07-07T20:05:32.4229844Z [2023-07-07 20:03:24,580] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4230185Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4230195Z 2023-07-07T20:05:32.4230588Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4231058Z - self: 2023-07-07T20:05:32.4231483Z - node: fx.Node(unsqueeze_300[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4231671Z - aten_name: 2023-07-07T20:05:32.4231899Z - function_overloads: 2023-07-07T20:05:32.4232086Z - onnx_args: 2023-07-07T20:05:32.4232278Z - onnx_kwargs: 2023-07-07T20:05:32.4232860Z - diagnostic_context: 2023-07-07T20:05:32.4233132Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4233653Z [2023-07-07 20:03:24,582] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_301]. 2023-07-07T20:05:32.4233890Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4233901Z 2023-07-07T20:05:32.4234215Z [2023-07-07 20:03:24,582] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4234566Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4234576Z 2023-07-07T20:05:32.4234966Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4235421Z - self: 2023-07-07T20:05:32.4235800Z - node: fx.Node(unsqueeze_301[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4236020Z - aten_name: 2023-07-07T20:05:32.4236259Z - function_overloads: 2023-07-07T20:05:32.4236474Z - onnx_args: 2023-07-07T20:05:32.4236668Z - onnx_kwargs: 2023-07-07T20:05:32.4237233Z - diagnostic_context: 2023-07-07T20:05:32.4237529Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4238048Z [2023-07-07 20:03:24,585] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_302]. 2023-07-07T20:05:32.4238312Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4238323Z 2023-07-07T20:05:32.4238690Z [2023-07-07 20:03:24,585] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4239070Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4239086Z 2023-07-07T20:05:32.4239423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4239901Z - self: 2023-07-07T20:05:32.4240273Z - node: fx.Node(unsqueeze_302[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4240478Z - aten_name: 2023-07-07T20:05:32.4240727Z - function_overloads: 2023-07-07T20:05:32.4240937Z - onnx_args: 2023-07-07T20:05:32.4241150Z - onnx_kwargs: 2023-07-07T20:05:32.4241684Z - diagnostic_context: 2023-07-07T20:05:32.4241941Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4242393Z [2023-07-07 20:03:24,587] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_303]. 2023-07-07T20:05:32.4242651Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4242666Z 2023-07-07T20:05:32.4243020Z [2023-07-07 20:03:24,587] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4243372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4243386Z 2023-07-07T20:05:32.4243692Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4244261Z - self: 2023-07-07T20:05:32.4244801Z - node: fx.Node(unsqueeze_303[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4245116Z - aten_name: 2023-07-07T20:05:32.4245359Z - function_overloads: 2023-07-07T20:05:32.4245549Z - onnx_args: 2023-07-07T20:05:32.4245756Z - onnx_kwargs: 2023-07-07T20:05:32.4246278Z - diagnostic_context: 2023-07-07T20:05:32.4246648Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4247112Z [2023-07-07 20:03:24,594] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_10]. 2023-07-07T20:05:32.4247422Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4247435Z 2023-07-07T20:05:32.4247782Z [2023-07-07 20:03:24,595] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4248148Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4248160Z 2023-07-07T20:05:32.4248479Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4248983Z - self: 2023-07-07T20:05:32.4249300Z - node: fx.Node(cat_10[call_function]'aten.cat.default') 2023-07-07T20:05:32.4249496Z - aten_name: 2023-07-07T20:05:32.4249718Z - function_overloads: 2023-07-07T20:05:32.4249929Z - onnx_args: 2023-07-07T20:05:32.4250141Z - onnx_kwargs: 2023-07-07T20:05:32.4250713Z - diagnostic_context: 2023-07-07T20:05:32.4250961Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.4251427Z [2023-07-07 20:03:24,598] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_10]. 2023-07-07T20:05:32.4251678Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4251689Z 2023-07-07T20:05:32.4252054Z [2023-07-07 20:03:24,598] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4252382Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4252392Z 2023-07-07T20:05:32.4252735Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4253210Z - self: 2023-07-07T20:05:32.4253564Z - node: fx.Node(transpose_10[call_function]'aten.transpose.int') 2023-07-07T20:05:32.4253760Z - aten_name: 2023-07-07T20:05:32.4253989Z - function_overloads: 2023-07-07T20:05:32.4254187Z - onnx_args: 2023-07-07T20:05:32.4254399Z - onnx_kwargs: 2023-07-07T20:05:32.4254941Z - diagnostic_context: 2023-07-07T20:05:32.4255329Z - Return value: 2023-07-07T20:05:32.4255792Z [2023-07-07 20:03:24,600] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_10]. 2023-07-07T20:05:32.4256014Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4256024Z 2023-07-07T20:05:32.4256317Z [2023-07-07 20:03:24,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4256644Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4256654Z 2023-07-07T20:05:32.4256967Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4257441Z - self: 2023-07-07T20:05:32.4257782Z - node: fx.Node(clone_10[call_function]'aten.clone.default') 2023-07-07T20:05:32.4257990Z - aten_name: 2023-07-07T20:05:32.4258378Z - function_overloads: 2023-07-07T20:05:32.4258582Z - onnx_args: 2023-07-07T20:05:32.4258841Z - onnx_kwargs: 2023-07-07T20:05:32.4259368Z - diagnostic_context: 2023-07-07T20:05:32.4259633Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.4260089Z [2023-07-07 20:03:24,604] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_9]. 2023-07-07T20:05:32.4260386Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4260397Z 2023-07-07T20:05:32.4260809Z [2023-07-07 20:03:24,604] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4261180Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4261193Z 2023-07-07T20:05:32.4261519Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4261985Z - self: 2023-07-07T20:05:32.4262300Z - node: fx.Node(split_9[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.4262498Z - aten_name: 2023-07-07T20:05:32.4262728Z - function_overloads: 2023-07-07T20:05:32.4262909Z - onnx_args: 2023-07-07T20:05:32.4263118Z - onnx_kwargs: 2023-07-07T20:05:32.4263633Z - diagnostic_context: 2023-07-07T20:05:32.4263900Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.4264376Z [2023-07-07 20:03:24,605] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_20]. 2023-07-07T20:05:32.4264622Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4264633Z 2023-07-07T20:05:32.4265004Z [2023-07-07 20:03:24,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4265387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4265398Z 2023-07-07T20:05:32.4265733Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4266225Z - self: 2023-07-07T20:05:32.4266537Z - node: fx.Node(getitem_20[call_function]'') 2023-07-07T20:05:32.4266739Z - aten_name: 2023-07-07T20:05:32.4266962Z - function_overloads: 2023-07-07T20:05:32.4267149Z - onnx_args: 2023-07-07T20:05:32.4267346Z - onnx_kwargs: 2023-07-07T20:05:32.4267864Z - diagnostic_context: 2023-07-07T20:05:32.4268126Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4268601Z [2023-07-07 20:03:24,607] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_21]. 2023-07-07T20:05:32.4268842Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4268853Z 2023-07-07T20:05:32.4269212Z [2023-07-07 20:03:24,607] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4269560Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4269570Z 2023-07-07T20:05:32.4269915Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4270388Z - self: 2023-07-07T20:05:32.4270749Z - node: fx.Node(getitem_21[call_function]'') 2023-07-07T20:05:32.4270949Z - aten_name: 2023-07-07T20:05:32.4271184Z - function_overloads: 2023-07-07T20:05:32.4271386Z - onnx_args: 2023-07-07T20:05:32.4271710Z - onnx_kwargs: 2023-07-07T20:05:32.4272311Z - diagnostic_context: 2023-07-07T20:05:32.4272574Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4273063Z [2023-07-07 20:03:24,609] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_38]. 2023-07-07T20:05:32.4273300Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4273368Z 2023-07-07T20:05:32.4273735Z [2023-07-07 20:03:24,609] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4274092Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4274161Z 2023-07-07T20:05:32.4274479Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4275056Z - self: 2023-07-07T20:05:32.4275439Z - node: fx.Node(convolution_38[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4275643Z - aten_name: 2023-07-07T20:05:32.4275868Z - function_overloads: 2023-07-07T20:05:32.4276073Z - onnx_args: 2023-07-07T20:05:32.4276288Z - onnx_kwargs: 2023-07-07T20:05:32.4276839Z - diagnostic_context: 2023-07-07T20:05:32.4277233Z - Return value: 2023-07-07T20:05:32.4277814Z [2023-07-07 20:03:24,613] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_76]. 2023-07-07T20:05:32.4278102Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4278114Z 2023-07-07T20:05:32.4278450Z [2023-07-07 20:03:24,613] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4278792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4278803Z 2023-07-07T20:05:32.4279131Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4279626Z - self: 2023-07-07T20:05:32.4280076Z - node: fx.Node(convert_element_type_76[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4280286Z - aten_name: 2023-07-07T20:05:32.4280515Z - function_overloads: 2023-07-07T20:05:32.4280705Z - onnx_args: 2023-07-07T20:05:32.4280899Z - onnx_kwargs: 2023-07-07T20:05:32.4281390Z - diagnostic_context: 2023-07-07T20:05:32.4281705Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4282255Z [2023-07-07 20:03:24,615] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_77]. 2023-07-07T20:05:32.4282513Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4282524Z 2023-07-07T20:05:32.4282872Z [2023-07-07 20:03:24,615] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4283234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4283250Z 2023-07-07T20:05:32.4283580Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4284064Z - self: 2023-07-07T20:05:32.4284680Z - node: fx.Node(convert_element_type_77[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4284869Z - aten_name: 2023-07-07T20:05:32.4285104Z - function_overloads: 2023-07-07T20:05:32.4285447Z - onnx_args: 2023-07-07T20:05:32.4285665Z - onnx_kwargs: 2023-07-07T20:05:32.4286288Z - diagnostic_context: 2023-07-07T20:05:32.4286623Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4287082Z [2023-07-07 20:03:24,621] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_38]. 2023-07-07T20:05:32.4287318Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4287422Z 2023-07-07T20:05:32.4287761Z [2023-07-07 20:03:24,622] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4288183Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4288196Z 2023-07-07T20:05:32.4288528Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4288996Z - self: 2023-07-07T20:05:32.4289315Z - node: fx.Node(tensor_int_38[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4289504Z - aten_name: 2023-07-07T20:05:32.4289746Z - function_overloads: 2023-07-07T20:05:32.4289959Z - onnx_args: 2023-07-07T20:05:32.4290159Z - onnx_kwargs: 2023-07-07T20:05:32.4290687Z - diagnostic_context: 2023-07-07T20:05:32.4290973Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4291450Z [2023-07-07 20:03:24,629] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_304]. 2023-07-07T20:05:32.4291710Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4291721Z 2023-07-07T20:05:32.4292071Z [2023-07-07 20:03:24,629] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4292428Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4292439Z 2023-07-07T20:05:32.4292750Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4293225Z - self: 2023-07-07T20:05:32.4293570Z - node: fx.Node(unsqueeze_304[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4293767Z - aten_name: 2023-07-07T20:05:32.4293984Z - function_overloads: 2023-07-07T20:05:32.4294178Z - onnx_args: 2023-07-07T20:05:32.4294360Z - onnx_kwargs: 2023-07-07T20:05:32.4294886Z - diagnostic_context: 2023-07-07T20:05:32.4295171Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4295641Z [2023-07-07 20:03:24,630] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_305]. 2023-07-07T20:05:32.4295890Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4295900Z 2023-07-07T20:05:32.4296242Z [2023-07-07 20:03:24,630] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4296601Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4296612Z 2023-07-07T20:05:32.4296915Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4297366Z - self: 2023-07-07T20:05:32.4297724Z - node: fx.Node(unsqueeze_305[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4297924Z - aten_name: 2023-07-07T20:05:32.4298163Z - function_overloads: 2023-07-07T20:05:32.4298351Z - onnx_args: 2023-07-07T20:05:32.4298554Z - onnx_kwargs: 2023-07-07T20:05:32.4299193Z - diagnostic_context: 2023-07-07T20:05:32.4299539Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4300069Z [2023-07-07 20:03:24,632] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_306]. 2023-07-07T20:05:32.4300327Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4300339Z 2023-07-07T20:05:32.4300680Z [2023-07-07 20:03:24,632] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4301093Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4301168Z 2023-07-07T20:05:32.4301483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4301991Z - self: 2023-07-07T20:05:32.4302359Z - node: fx.Node(unsqueeze_306[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4302557Z - aten_name: 2023-07-07T20:05:32.4302784Z - function_overloads: 2023-07-07T20:05:32.4302992Z - onnx_args: 2023-07-07T20:05:32.4303183Z - onnx_kwargs: 2023-07-07T20:05:32.4303687Z - diagnostic_context: 2023-07-07T20:05:32.4303957Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4304466Z [2023-07-07 20:03:24,633] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_307]. 2023-07-07T20:05:32.4304728Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4304743Z 2023-07-07T20:05:32.4305094Z [2023-07-07 20:03:24,633] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4305437Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4305448Z 2023-07-07T20:05:32.4305744Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4306167Z - self: 2023-07-07T20:05:32.4306511Z - node: fx.Node(unsqueeze_307[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4306693Z - aten_name: 2023-07-07T20:05:32.4306914Z - function_overloads: 2023-07-07T20:05:32.4307107Z - onnx_args: 2023-07-07T20:05:32.4307307Z - onnx_kwargs: 2023-07-07T20:05:32.4307756Z - diagnostic_context: 2023-07-07T20:05:32.4307992Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4308448Z [2023-07-07 20:03:24,639] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_308]. 2023-07-07T20:05:32.4308681Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4308691Z 2023-07-07T20:05:32.4308989Z [2023-07-07 20:03:24,639] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4309306Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4309317Z 2023-07-07T20:05:32.4309625Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4310110Z - self: 2023-07-07T20:05:32.4310496Z - node: fx.Node(unsqueeze_308[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4310707Z - aten_name: 2023-07-07T20:05:32.4310949Z - function_overloads: 2023-07-07T20:05:32.4311161Z - onnx_args: 2023-07-07T20:05:32.4311355Z - onnx_kwargs: 2023-07-07T20:05:32.4311888Z - diagnostic_context: 2023-07-07T20:05:32.4312284Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4312851Z [2023-07-07 20:03:24,640] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_309]. 2023-07-07T20:05:32.4313114Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4313125Z 2023-07-07T20:05:32.4313483Z [2023-07-07 20:03:24,640] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4313852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4313910Z 2023-07-07T20:05:32.4314248Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4314874Z - self: 2023-07-07T20:05:32.4315234Z - node: fx.Node(unsqueeze_309[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4315441Z - aten_name: 2023-07-07T20:05:32.4315677Z - function_overloads: 2023-07-07T20:05:32.4315887Z - onnx_args: 2023-07-07T20:05:32.4316101Z - onnx_kwargs: 2023-07-07T20:05:32.4316662Z - diagnostic_context: 2023-07-07T20:05:32.4316944Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4317431Z [2023-07-07 20:03:24,644] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_310]. 2023-07-07T20:05:32.4317685Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4317697Z 2023-07-07T20:05:32.4318052Z [2023-07-07 20:03:24,644] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4318368Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4318378Z 2023-07-07T20:05:32.4318644Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4319092Z - self: 2023-07-07T20:05:32.4319459Z - node: fx.Node(unsqueeze_310[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4319672Z - aten_name: 2023-07-07T20:05:32.4319916Z - function_overloads: 2023-07-07T20:05:32.4320111Z - onnx_args: 2023-07-07T20:05:32.4320328Z - onnx_kwargs: 2023-07-07T20:05:32.4320893Z - diagnostic_context: 2023-07-07T20:05:32.4321176Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4321639Z [2023-07-07 20:03:24,646] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_311]. 2023-07-07T20:05:32.4321905Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4321916Z 2023-07-07T20:05:32.4322282Z [2023-07-07 20:03:24,646] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4322630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4322642Z 2023-07-07T20:05:32.4322905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4323367Z - self: 2023-07-07T20:05:32.4323755Z - node: fx.Node(unsqueeze_311[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4323966Z - aten_name: 2023-07-07T20:05:32.4324211Z - function_overloads: 2023-07-07T20:05:32.4324581Z - onnx_args: 2023-07-07T20:05:32.4324808Z - onnx_kwargs: 2023-07-07T20:05:32.4325397Z - diagnostic_context: 2023-07-07T20:05:32.4325677Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4326350Z [2023-07-07 20:03:24,655] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_39]. 2023-07-07T20:05:32.4326679Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4326693Z 2023-07-07T20:05:32.4327034Z [2023-07-07 20:03:24,655] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4327340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4327349Z 2023-07-07T20:05:32.4327682Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4328186Z - self: 2023-07-07T20:05:32.4328644Z - node: fx.Node(convolution_39[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4328854Z - aten_name: 2023-07-07T20:05:32.4329086Z - function_overloads: 2023-07-07T20:05:32.4329302Z - onnx_args: 2023-07-07T20:05:32.4329521Z - onnx_kwargs: 2023-07-07T20:05:32.4330101Z - diagnostic_context: 2023-07-07T20:05:32.4330493Z - Return value: 2023-07-07T20:05:32.4331067Z [2023-07-07 20:03:24,659] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_78]. 2023-07-07T20:05:32.4331357Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4331375Z 2023-07-07T20:05:32.4331745Z [2023-07-07 20:03:24,659] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4332109Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4332120Z 2023-07-07T20:05:32.4332459Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4332974Z - self: 2023-07-07T20:05:32.4333442Z - node: fx.Node(convert_element_type_78[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4333649Z - aten_name: 2023-07-07T20:05:32.4333898Z - function_overloads: 2023-07-07T20:05:32.4334115Z - onnx_args: 2023-07-07T20:05:32.4334336Z - onnx_kwargs: 2023-07-07T20:05:32.4334899Z - diagnostic_context: 2023-07-07T20:05:32.4335246Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4335830Z [2023-07-07 20:03:24,661] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_79]. 2023-07-07T20:05:32.4336138Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4336148Z 2023-07-07T20:05:32.4336519Z [2023-07-07 20:03:24,661] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4336905Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4336916Z 2023-07-07T20:05:32.4337259Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4337762Z - self: 2023-07-07T20:05:32.4338220Z - node: fx.Node(convert_element_type_79[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4338422Z - aten_name: 2023-07-07T20:05:32.4338668Z - function_overloads: 2023-07-07T20:05:32.4338884Z - onnx_args: 2023-07-07T20:05:32.4339099Z - onnx_kwargs: 2023-07-07T20:05:32.4339673Z - diagnostic_context: 2023-07-07T20:05:32.4340021Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4340573Z [2023-07-07 20:03:24,668] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_39]. 2023-07-07T20:05:32.4340868Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4340895Z 2023-07-07T20:05:32.4341247Z [2023-07-07 20:03:24,668] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4341630Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4341700Z 2023-07-07T20:05:32.4342041Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4342600Z - self: 2023-07-07T20:05:32.4342952Z - node: fx.Node(tensor_int_39[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4343165Z - aten_name: 2023-07-07T20:05:32.4343413Z - function_overloads: 2023-07-07T20:05:32.4343625Z - onnx_args: 2023-07-07T20:05:32.4343835Z - onnx_kwargs: 2023-07-07T20:05:32.4344429Z - diagnostic_context: 2023-07-07T20:05:32.4344728Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4345258Z [2023-07-07 20:03:24,675] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_312]. 2023-07-07T20:05:32.4345528Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4345543Z 2023-07-07T20:05:32.4345911Z [2023-07-07 20:03:24,675] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4346260Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4346271Z 2023-07-07T20:05:32.4346621Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4347116Z - self: 2023-07-07T20:05:32.4347508Z - node: fx.Node(unsqueeze_312[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4347720Z - aten_name: 2023-07-07T20:05:32.4347967Z - function_overloads: 2023-07-07T20:05:32.4348181Z - onnx_args: 2023-07-07T20:05:32.4348401Z - onnx_kwargs: 2023-07-07T20:05:32.4348985Z - diagnostic_context: 2023-07-07T20:05:32.4349287Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4349788Z [2023-07-07 20:03:24,676] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_313]. 2023-07-07T20:05:32.4350055Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4350065Z 2023-07-07T20:05:32.4350433Z [2023-07-07 20:03:24,676] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4350819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4350830Z 2023-07-07T20:05:32.4351185Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4351699Z - self: 2023-07-07T20:05:32.4352084Z - node: fx.Node(unsqueeze_313[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4352291Z - aten_name: 2023-07-07T20:05:32.4352531Z - function_overloads: 2023-07-07T20:05:32.4352743Z - onnx_args: 2023-07-07T20:05:32.4352959Z - onnx_kwargs: 2023-07-07T20:05:32.4353542Z - diagnostic_context: 2023-07-07T20:05:32.4353839Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4354349Z [2023-07-07 20:03:24,678] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_314]. 2023-07-07T20:05:32.4354752Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4354765Z 2023-07-07T20:05:32.4355187Z [2023-07-07 20:03:24,678] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4355548Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4355576Z 2023-07-07T20:05:32.4355905Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4356461Z - self: 2023-07-07T20:05:32.4356885Z - node: fx.Node(unsqueeze_314[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4357092Z - aten_name: 2023-07-07T20:05:32.4357338Z - function_overloads: 2023-07-07T20:05:32.4357548Z - onnx_args: 2023-07-07T20:05:32.4357765Z - onnx_kwargs: 2023-07-07T20:05:32.4358327Z - diagnostic_context: 2023-07-07T20:05:32.4358625Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4359145Z [2023-07-07 20:03:24,679] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_315]. 2023-07-07T20:05:32.4359411Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4359421Z 2023-07-07T20:05:32.4359789Z [2023-07-07 20:03:24,679] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4360176Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4360190Z 2023-07-07T20:05:32.4360536Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4361039Z - self: 2023-07-07T20:05:32.4361432Z - node: fx.Node(unsqueeze_315[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4361630Z - aten_name: 2023-07-07T20:05:32.4361874Z - function_overloads: 2023-07-07T20:05:32.4362095Z - onnx_args: 2023-07-07T20:05:32.4362316Z - onnx_kwargs: 2023-07-07T20:05:32.4362900Z - diagnostic_context: 2023-07-07T20:05:32.4363196Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4363719Z [2023-07-07 20:03:24,685] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_316]. 2023-07-07T20:05:32.4363985Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4363999Z 2023-07-07T20:05:32.4364503Z [2023-07-07 20:03:24,685] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4364885Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4364896Z 2023-07-07T20:05:32.4365244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4365736Z - self: 2023-07-07T20:05:32.4366119Z - node: fx.Node(unsqueeze_316[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4366318Z - aten_name: 2023-07-07T20:05:32.4366521Z - function_overloads: 2023-07-07T20:05:32.4366692Z - onnx_args: 2023-07-07T20:05:32.4366872Z - onnx_kwargs: 2023-07-07T20:05:32.4367433Z - diagnostic_context: 2023-07-07T20:05:32.4367735Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4368261Z [2023-07-07 20:03:24,686] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_317]. 2023-07-07T20:05:32.4368528Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4368539Z 2023-07-07T20:05:32.4369023Z [2023-07-07 20:03:24,686] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4369466Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4369478Z 2023-07-07T20:05:32.4369822Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4370258Z - self: 2023-07-07T20:05:32.4370645Z - node: fx.Node(unsqueeze_317[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4370831Z - aten_name: 2023-07-07T20:05:32.4371106Z - function_overloads: 2023-07-07T20:05:32.4371289Z - onnx_args: 2023-07-07T20:05:32.4371463Z - onnx_kwargs: 2023-07-07T20:05:32.4371958Z - diagnostic_context: 2023-07-07T20:05:32.4372182Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4372589Z [2023-07-07 20:03:24,690] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_318]. 2023-07-07T20:05:32.4372820Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4372832Z 2023-07-07T20:05:32.4373192Z [2023-07-07 20:03:24,690] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4373551Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4373567Z 2023-07-07T20:05:32.4373882Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4374302Z - self: 2023-07-07T20:05:32.4374606Z - node: fx.Node(unsqueeze_318[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4374801Z - aten_name: 2023-07-07T20:05:32.4375029Z - function_overloads: 2023-07-07T20:05:32.4375193Z - onnx_args: 2023-07-07T20:05:32.4375388Z - onnx_kwargs: 2023-07-07T20:05:32.4375966Z - diagnostic_context: 2023-07-07T20:05:32.4376271Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4376799Z [2023-07-07 20:03:24,691] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_319]. 2023-07-07T20:05:32.4377070Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4377082Z 2023-07-07T20:05:32.4377457Z [2023-07-07 20:03:24,691] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4377843Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4377854Z 2023-07-07T20:05:32.4378188Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4378697Z - self: 2023-07-07T20:05:32.4379049Z - node: fx.Node(unsqueeze_319[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4379241Z - aten_name: 2023-07-07T20:05:32.4379470Z - function_overloads: 2023-07-07T20:05:32.4379660Z - onnx_args: 2023-07-07T20:05:32.4379857Z - onnx_kwargs: 2023-07-07T20:05:32.4380337Z - diagnostic_context: 2023-07-07T20:05:32.4380581Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4381092Z [2023-07-07 20:03:24,695] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_40]. 2023-07-07T20:05:32.4381330Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4381341Z 2023-07-07T20:05:32.4381698Z [2023-07-07 20:03:24,695] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4382157Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4382212Z 2023-07-07T20:05:32.4382566Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4383091Z - self: 2023-07-07T20:05:32.4383496Z - node: fx.Node(convolution_40[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4383754Z - aten_name: 2023-07-07T20:05:32.4383988Z - function_overloads: 2023-07-07T20:05:32.4384253Z - onnx_args: 2023-07-07T20:05:32.4384476Z - onnx_kwargs: 2023-07-07T20:05:32.4385066Z - diagnostic_context: 2023-07-07T20:05:32.4385471Z - Return value: 2023-07-07T20:05:32.4386072Z [2023-07-07 20:03:24,700] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_80]. 2023-07-07T20:05:32.4386359Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4386369Z 2023-07-07T20:05:32.4386709Z [2023-07-07 20:03:24,700] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4387074Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4387088Z 2023-07-07T20:05:32.4387411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4387851Z - self: 2023-07-07T20:05:32.4388264Z - node: fx.Node(convert_element_type_80[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4388475Z - aten_name: 2023-07-07T20:05:32.4388705Z - function_overloads: 2023-07-07T20:05:32.4388920Z - onnx_args: 2023-07-07T20:05:32.4389140Z - onnx_kwargs: 2023-07-07T20:05:32.4389712Z - diagnostic_context: 2023-07-07T20:05:32.4390057Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4390651Z [2023-07-07 20:03:24,701] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_81]. 2023-07-07T20:05:32.4390954Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4390965Z 2023-07-07T20:05:32.4391335Z [2023-07-07 20:03:24,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4391720Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4391730Z 2023-07-07T20:05:32.4392080Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4392598Z - self: 2023-07-07T20:05:32.4393060Z - node: fx.Node(convert_element_type_81[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4393243Z - aten_name: 2023-07-07T20:05:32.4393482Z - function_overloads: 2023-07-07T20:05:32.4393690Z - onnx_args: 2023-07-07T20:05:32.4393901Z - onnx_kwargs: 2023-07-07T20:05:32.4394443Z - diagnostic_context: 2023-07-07T20:05:32.4394850Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4395332Z [2023-07-07 20:03:24,707] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_40]. 2023-07-07T20:05:32.4395560Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4395587Z 2023-07-07T20:05:32.4396069Z [2023-07-07 20:03:24,707] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4396514Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4396526Z 2023-07-07T20:05:32.4396876Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4397392Z - self: 2023-07-07T20:05:32.4397746Z - node: fx.Node(tensor_int_40[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4398005Z - aten_name: 2023-07-07T20:05:32.4398255Z - function_overloads: 2023-07-07T20:05:32.4398534Z - onnx_args: 2023-07-07T20:05:32.4398743Z - onnx_kwargs: 2023-07-07T20:05:32.4399317Z - diagnostic_context: 2023-07-07T20:05:32.4399609Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4400141Z [2023-07-07 20:03:24,714] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_320]. 2023-07-07T20:05:32.4400403Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4400413Z 2023-07-07T20:05:32.4400763Z [2023-07-07 20:03:24,714] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4401097Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4401111Z 2023-07-07T20:05:32.4401420Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4401902Z - self: 2023-07-07T20:05:32.4402300Z - node: fx.Node(unsqueeze_320[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4402509Z - aten_name: 2023-07-07T20:05:32.4402760Z - function_overloads: 2023-07-07T20:05:32.4402979Z - onnx_args: 2023-07-07T20:05:32.4403200Z - onnx_kwargs: 2023-07-07T20:05:32.4403787Z - diagnostic_context: 2023-07-07T20:05:32.4404084Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4404870Z [2023-07-07 20:03:24,716] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_321]. 2023-07-07T20:05:32.4405140Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4405157Z 2023-07-07T20:05:32.4405535Z [2023-07-07 20:03:24,716] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4405924Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4405938Z 2023-07-07T20:05:32.4406287Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4406780Z - self: 2023-07-07T20:05:32.4407156Z - node: fx.Node(unsqueeze_321[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4407363Z - aten_name: 2023-07-07T20:05:32.4407588Z - function_overloads: 2023-07-07T20:05:32.4407788Z - onnx_args: 2023-07-07T20:05:32.4407998Z - onnx_kwargs: 2023-07-07T20:05:32.4408502Z - diagnostic_context: 2023-07-07T20:05:32.4408778Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4409272Z [2023-07-07 20:03:24,717] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_322]. 2023-07-07T20:05:32.4409533Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4409544Z 2023-07-07T20:05:32.4409911Z [2023-07-07 20:03:24,717] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4410416Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4410446Z 2023-07-07T20:05:32.4410835Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4411357Z - self: 2023-07-07T20:05:32.4411734Z - node: fx.Node(unsqueeze_322[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4411934Z - aten_name: 2023-07-07T20:05:32.4412237Z - function_overloads: 2023-07-07T20:05:32.4412440Z - onnx_args: 2023-07-07T20:05:32.4412634Z - onnx_kwargs: 2023-07-07T20:05:32.4413223Z - diagnostic_context: 2023-07-07T20:05:32.4413506Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4414034Z [2023-07-07 20:03:24,719] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_323]. 2023-07-07T20:05:32.4414312Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4414325Z 2023-07-07T20:05:32.4414702Z [2023-07-07 20:03:24,719] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4415088Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4415099Z 2023-07-07T20:05:32.4415449Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4415961Z - self: 2023-07-07T20:05:32.4416332Z - node: fx.Node(unsqueeze_323[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4416516Z - aten_name: 2023-07-07T20:05:32.4416745Z - function_overloads: 2023-07-07T20:05:32.4416939Z - onnx_args: 2023-07-07T20:05:32.4417137Z - onnx_kwargs: 2023-07-07T20:05:32.4417699Z - diagnostic_context: 2023-07-07T20:05:32.4417991Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4418528Z [2023-07-07 20:03:24,724] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_324]. 2023-07-07T20:05:32.4418782Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4418812Z 2023-07-07T20:05:32.4419170Z [2023-07-07 20:03:24,724] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4419558Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4419573Z 2023-07-07T20:05:32.4419920Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4420410Z - self: 2023-07-07T20:05:32.4420781Z - node: fx.Node(unsqueeze_324[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4420979Z - aten_name: 2023-07-07T20:05:32.4421209Z - function_overloads: 2023-07-07T20:05:32.4421417Z - onnx_args: 2023-07-07T20:05:32.4421615Z - onnx_kwargs: 2023-07-07T20:05:32.4422181Z - diagnostic_context: 2023-07-07T20:05:32.4422478Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4423014Z [2023-07-07 20:03:24,726] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_325]. 2023-07-07T20:05:32.4423292Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4423308Z 2023-07-07T20:05:32.4423681Z [2023-07-07 20:03:24,726] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4424065Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4424077Z 2023-07-07T20:05:32.4424516Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4425059Z - self: 2023-07-07T20:05:32.4425403Z - node: fx.Node(unsqueeze_325[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4425597Z - aten_name: 2023-07-07T20:05:32.4425822Z - function_overloads: 2023-07-07T20:05:32.4426034Z - onnx_args: 2023-07-07T20:05:32.4426306Z - onnx_kwargs: 2023-07-07T20:05:32.4426876Z - diagnostic_context: 2023-07-07T20:05:32.4427227Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4427747Z [2023-07-07 20:03:24,730] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_326]. 2023-07-07T20:05:32.4428018Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4428030Z 2023-07-07T20:05:32.4428406Z [2023-07-07 20:03:24,730] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4428795Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4428805Z 2023-07-07T20:05:32.4429137Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4429628Z - self: 2023-07-07T20:05:32.4429982Z - node: fx.Node(unsqueeze_326[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4430178Z - aten_name: 2023-07-07T20:05:32.4430409Z - function_overloads: 2023-07-07T20:05:32.4430608Z - onnx_args: 2023-07-07T20:05:32.4430816Z - onnx_kwargs: 2023-07-07T20:05:32.4431394Z - diagnostic_context: 2023-07-07T20:05:32.4431698Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4432237Z [2023-07-07 20:03:24,731] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_327]. 2023-07-07T20:05:32.4432506Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4432518Z 2023-07-07T20:05:32.4432895Z [2023-07-07 20:03:24,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4433281Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4433295Z 2023-07-07T20:05:32.4433622Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4434111Z - self: 2023-07-07T20:05:32.4434473Z - node: fx.Node(unsqueeze_327[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4434764Z - aten_name: 2023-07-07T20:05:32.4434989Z - function_overloads: 2023-07-07T20:05:32.4435171Z - onnx_args: 2023-07-07T20:05:32.4435355Z - onnx_kwargs: 2023-07-07T20:05:32.4435886Z - diagnostic_context: 2023-07-07T20:05:32.4436154Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4436589Z [2023-07-07 20:03:24,739] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_11]. 2023-07-07T20:05:32.4436826Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4436841Z 2023-07-07T20:05:32.4437182Z [2023-07-07 20:03:24,739] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4437493Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4437502Z 2023-07-07T20:05:32.4437780Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4438305Z - self: 2023-07-07T20:05:32.4438645Z - node: fx.Node(cat_11[call_function]'aten.cat.default') 2023-07-07T20:05:32.4438814Z - aten_name: 2023-07-07T20:05:32.4439030Z - function_overloads: 2023-07-07T20:05:32.4439220Z - onnx_args: 2023-07-07T20:05:32.4439405Z - onnx_kwargs: 2023-07-07T20:05:32.4439877Z - diagnostic_context: 2023-07-07T20:05:32.4440160Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.4440591Z [2023-07-07 20:03:24,743] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_11]. 2023-07-07T20:05:32.4440876Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4440886Z 2023-07-07T20:05:32.4441194Z [2023-07-07 20:03:24,743] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4441522Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4441533Z 2023-07-07T20:05:32.4441844Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4442330Z - self: 2023-07-07T20:05:32.4442656Z - node: fx.Node(transpose_11[call_function]'aten.transpose.int') 2023-07-07T20:05:32.4442853Z - aten_name: 2023-07-07T20:05:32.4443073Z - function_overloads: 2023-07-07T20:05:32.4443274Z - onnx_args: 2023-07-07T20:05:32.4443460Z - onnx_kwargs: 2023-07-07T20:05:32.4444009Z - diagnostic_context: 2023-07-07T20:05:32.4444542Z - Return value: 2023-07-07T20:05:32.4444984Z [2023-07-07 20:03:24,745] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_11]. 2023-07-07T20:05:32.4445206Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4445217Z 2023-07-07T20:05:32.4445553Z [2023-07-07 20:03:24,745] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4445886Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4445898Z 2023-07-07T20:05:32.4446206Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4446694Z - self: 2023-07-07T20:05:32.4447013Z - node: fx.Node(clone_11[call_function]'aten.clone.default') 2023-07-07T20:05:32.4447216Z - aten_name: 2023-07-07T20:05:32.4447436Z - function_overloads: 2023-07-07T20:05:32.4447632Z - onnx_args: 2023-07-07T20:05:32.4447829Z - onnx_kwargs: 2023-07-07T20:05:32.4448385Z - diagnostic_context: 2023-07-07T20:05:32.4448652Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.4449085Z [2023-07-07 20:03:24,750] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_41]. 2023-07-07T20:05:32.4449322Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4449332Z 2023-07-07T20:05:32.4449655Z [2023-07-07 20:03:24,750] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4449995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4450008Z 2023-07-07T20:05:32.4450318Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4450796Z - self: 2023-07-07T20:05:32.4451294Z - node: fx.Node(convolution_41[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4451490Z - aten_name: 2023-07-07T20:05:32.4451798Z - function_overloads: 2023-07-07T20:05:32.4451986Z - onnx_args: 2023-07-07T20:05:32.4452179Z - onnx_kwargs: 2023-07-07T20:05:32.4452725Z - diagnostic_context: 2023-07-07T20:05:32.4453098Z - Return value: 2023-07-07T20:05:32.4453713Z [2023-07-07 20:03:24,754] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_82]. 2023-07-07T20:05:32.4454065Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4454077Z 2023-07-07T20:05:32.4454445Z [2023-07-07 20:03:24,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4454824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4454836Z 2023-07-07T20:05:32.4455170Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4455682Z - self: 2023-07-07T20:05:32.4456148Z - node: fx.Node(convert_element_type_82[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4456360Z - aten_name: 2023-07-07T20:05:32.4456607Z - function_overloads: 2023-07-07T20:05:32.4456828Z - onnx_args: 2023-07-07T20:05:32.4457023Z - onnx_kwargs: 2023-07-07T20:05:32.4457600Z - diagnostic_context: 2023-07-07T20:05:32.4457924Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4458521Z [2023-07-07 20:03:24,756] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_83]. 2023-07-07T20:05:32.4458821Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4458833Z 2023-07-07T20:05:32.4459202Z [2023-07-07 20:03:24,756] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4459578Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4459590Z 2023-07-07T20:05:32.4459929Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4460432Z - self: 2023-07-07T20:05:32.4460891Z - node: fx.Node(convert_element_type_83[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4461105Z - aten_name: 2023-07-07T20:05:32.4461330Z - function_overloads: 2023-07-07T20:05:32.4461545Z - onnx_args: 2023-07-07T20:05:32.4461762Z - onnx_kwargs: 2023-07-07T20:05:32.4462339Z - diagnostic_context: 2023-07-07T20:05:32.4462686Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4463168Z [2023-07-07 20:03:24,762] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_41]. 2023-07-07T20:05:32.4463424Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4463435Z 2023-07-07T20:05:32.4463799Z [2023-07-07 20:03:24,762] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4464132Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4464145Z 2023-07-07T20:05:32.4464479Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4464955Z - self: 2023-07-07T20:05:32.4465373Z - node: fx.Node(tensor_int_41[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4465582Z - aten_name: 2023-07-07T20:05:32.4465871Z - function_overloads: 2023-07-07T20:05:32.4466088Z - onnx_args: 2023-07-07T20:05:32.4466311Z - onnx_kwargs: 2023-07-07T20:05:32.4466858Z - diagnostic_context: 2023-07-07T20:05:32.4467150Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4467717Z [2023-07-07 20:03:24,769] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_328]. 2023-07-07T20:05:32.4468023Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4468036Z 2023-07-07T20:05:32.4468396Z [2023-07-07 20:03:24,769] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4468759Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4468775Z 2023-07-07T20:05:32.4469095Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4469595Z - self: 2023-07-07T20:05:32.4469979Z - node: fx.Node(unsqueeze_328[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4470175Z - aten_name: 2023-07-07T20:05:32.4470412Z - function_overloads: 2023-07-07T20:05:32.4470630Z - onnx_args: 2023-07-07T20:05:32.4470826Z - onnx_kwargs: 2023-07-07T20:05:32.4471322Z - diagnostic_context: 2023-07-07T20:05:32.4471604Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4472105Z [2023-07-07 20:03:24,771] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_329]. 2023-07-07T20:05:32.4472338Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4472374Z 2023-07-07T20:05:32.4472680Z [2023-07-07 20:03:24,771] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4473010Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4473021Z 2023-07-07T20:05:32.4473334Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4473816Z - self: 2023-07-07T20:05:32.4474153Z - node: fx.Node(unsqueeze_329[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4474358Z - aten_name: 2023-07-07T20:05:32.4474602Z - function_overloads: 2023-07-07T20:05:32.4474915Z - onnx_args: 2023-07-07T20:05:32.4475114Z - onnx_kwargs: 2023-07-07T20:05:32.4475636Z - diagnostic_context: 2023-07-07T20:05:32.4475909Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4476373Z [2023-07-07 20:03:24,772] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_330]. 2023-07-07T20:05:32.4476618Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4476631Z 2023-07-07T20:05:32.4476958Z [2023-07-07 20:03:24,772] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4477303Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4477318Z 2023-07-07T20:05:32.4477636Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4478112Z - self: 2023-07-07T20:05:32.4478503Z - node: fx.Node(unsqueeze_330[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4478711Z - aten_name: 2023-07-07T20:05:32.4479062Z - function_overloads: 2023-07-07T20:05:32.4479274Z - onnx_args: 2023-07-07T20:05:32.4479536Z - onnx_kwargs: 2023-07-07T20:05:32.4480116Z - diagnostic_context: 2023-07-07T20:05:32.4480414Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4480892Z [2023-07-07 20:03:24,774] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_331]. 2023-07-07T20:05:32.4481203Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4481214Z 2023-07-07T20:05:32.4481621Z [2023-07-07 20:03:24,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4482005Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4482016Z 2023-07-07T20:05:32.4482339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4482791Z - self: 2023-07-07T20:05:32.4483156Z - node: fx.Node(unsqueeze_331[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4483357Z - aten_name: 2023-07-07T20:05:32.4483576Z - function_overloads: 2023-07-07T20:05:32.4483780Z - onnx_args: 2023-07-07T20:05:32.4483979Z - onnx_kwargs: 2023-07-07T20:05:32.4484682Z - diagnostic_context: 2023-07-07T20:05:32.4484955Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4485436Z [2023-07-07 20:03:24,779] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_332]. 2023-07-07T20:05:32.4485697Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4485709Z 2023-07-07T20:05:32.4486053Z [2023-07-07 20:03:24,779] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4486400Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4486430Z 2023-07-07T20:05:32.4486731Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4487175Z - self: 2023-07-07T20:05:32.4487545Z - node: fx.Node(unsqueeze_332[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4487750Z - aten_name: 2023-07-07T20:05:32.4487987Z - function_overloads: 2023-07-07T20:05:32.4488201Z - onnx_args: 2023-07-07T20:05:32.4488403Z - onnx_kwargs: 2023-07-07T20:05:32.4488935Z - diagnostic_context: 2023-07-07T20:05:32.4489218Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4489733Z [2023-07-07 20:03:24,781] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_333]. 2023-07-07T20:05:32.4489994Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4490006Z 2023-07-07T20:05:32.4490368Z [2023-07-07 20:03:24,781] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4490739Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4490750Z 2023-07-07T20:05:32.4491077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4491554Z - self: 2023-07-07T20:05:32.4491941Z - node: fx.Node(unsqueeze_333[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4492134Z - aten_name: 2023-07-07T20:05:32.4492382Z - function_overloads: 2023-07-07T20:05:32.4492594Z - onnx_args: 2023-07-07T20:05:32.4492945Z - onnx_kwargs: 2023-07-07T20:05:32.4493588Z - diagnostic_context: 2023-07-07T20:05:32.4493881Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4494395Z [2023-07-07 20:03:24,784] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_334]. 2023-07-07T20:05:32.4494639Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4494726Z 2023-07-07T20:05:32.4495047Z [2023-07-07 20:03:24,785] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4495478Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4495490Z 2023-07-07T20:05:32.4495811Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4496306Z - self: 2023-07-07T20:05:32.4496648Z - node: fx.Node(unsqueeze_334[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4496839Z - aten_name: 2023-07-07T20:05:32.4497055Z - function_overloads: 2023-07-07T20:05:32.4497248Z - onnx_args: 2023-07-07T20:05:32.4497439Z - onnx_kwargs: 2023-07-07T20:05:32.4497965Z - diagnostic_context: 2023-07-07T20:05:32.4498236Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4498719Z [2023-07-07 20:03:24,786] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_335]. 2023-07-07T20:05:32.4498968Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4498977Z 2023-07-07T20:05:32.4499308Z [2023-07-07 20:03:24,786] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4499666Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4499677Z 2023-07-07T20:05:32.4500005Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4500446Z - self: 2023-07-07T20:05:32.4500790Z - node: fx.Node(unsqueeze_335[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4501002Z - aten_name: 2023-07-07T20:05:32.4501249Z - function_overloads: 2023-07-07T20:05:32.4501458Z - onnx_args: 2023-07-07T20:05:32.4501675Z - onnx_kwargs: 2023-07-07T20:05:32.4502233Z - diagnostic_context: 2023-07-07T20:05:32.4502528Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4503044Z [2023-07-07 20:03:24,790] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_42]. 2023-07-07T20:05:32.4503315Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4503325Z 2023-07-07T20:05:32.4503692Z [2023-07-07 20:03:24,790] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4504062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4504074Z 2023-07-07T20:05:32.4504415Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4504912Z - self: 2023-07-07T20:05:32.4505306Z - node: fx.Node(convolution_42[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4505505Z - aten_name: 2023-07-07T20:05:32.4505744Z - function_overloads: 2023-07-07T20:05:32.4505934Z - onnx_args: 2023-07-07T20:05:32.4506126Z - onnx_kwargs: 2023-07-07T20:05:32.4506753Z - diagnostic_context: 2023-07-07T20:05:32.4507186Z - Return value: 2023-07-07T20:05:32.4507711Z [2023-07-07 20:03:24,794] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_84]. 2023-07-07T20:05:32.4507977Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4507989Z 2023-07-07T20:05:32.4508385Z [2023-07-07 20:03:24,794] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4508736Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4508793Z 2023-07-07T20:05:32.4509102Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4509577Z - self: 2023-07-07T20:05:32.4510006Z - node: fx.Node(convert_element_type_84[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4510218Z - aten_name: 2023-07-07T20:05:32.4510469Z - function_overloads: 2023-07-07T20:05:32.4510688Z - onnx_args: 2023-07-07T20:05:32.4510907Z - onnx_kwargs: 2023-07-07T20:05:32.4511466Z - diagnostic_context: 2023-07-07T20:05:32.4511792Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4512372Z [2023-07-07 20:03:24,796] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_85]. 2023-07-07T20:05:32.4512612Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4512624Z 2023-07-07T20:05:32.4512925Z [2023-07-07 20:03:24,796] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4513233Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4513242Z 2023-07-07T20:05:32.4513531Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4513955Z - self: 2023-07-07T20:05:32.4514320Z - node: fx.Node(convert_element_type_85[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4514483Z - aten_name: 2023-07-07T20:05:32.4514800Z - function_overloads: 2023-07-07T20:05:32.4514992Z - onnx_args: 2023-07-07T20:05:32.4515167Z - onnx_kwargs: 2023-07-07T20:05:32.4515605Z - diagnostic_context: 2023-07-07T20:05:32.4515850Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4516253Z [2023-07-07 20:03:24,802] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_42]. 2023-07-07T20:05:32.4516486Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4516503Z 2023-07-07T20:05:32.4516842Z [2023-07-07 20:03:24,802] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4517169Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4517178Z 2023-07-07T20:05:32.4517474Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4517904Z - self: 2023-07-07T20:05:32.4518205Z - node: fx.Node(tensor_int_42[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4518392Z - aten_name: 2023-07-07T20:05:32.4518603Z - function_overloads: 2023-07-07T20:05:32.4518790Z - onnx_args: 2023-07-07T20:05:32.4518982Z - onnx_kwargs: 2023-07-07T20:05:32.4519571Z - diagnostic_context: 2023-07-07T20:05:32.4519874Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4520311Z [2023-07-07 20:03:24,809] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_336]. 2023-07-07T20:05:32.4520560Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4520572Z 2023-07-07T20:05:32.4520924Z [2023-07-07 20:03:24,809] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4521346Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4521395Z 2023-07-07T20:05:32.4521673Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4522110Z - self: 2023-07-07T20:05:32.4522499Z - node: fx.Node(unsqueeze_336[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4522700Z - aten_name: 2023-07-07T20:05:32.4522940Z - function_overloads: 2023-07-07T20:05:32.4523159Z - onnx_args: 2023-07-07T20:05:32.4523353Z - onnx_kwargs: 2023-07-07T20:05:32.4523884Z - diagnostic_context: 2023-07-07T20:05:32.4524157Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4524825Z [2023-07-07 20:03:24,811] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_337]. 2023-07-07T20:05:32.4525076Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4525094Z 2023-07-07T20:05:32.4525461Z [2023-07-07 20:03:24,811] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4525835Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4525847Z 2023-07-07T20:05:32.4526191Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4526692Z - self: 2023-07-07T20:05:32.4527080Z - node: fx.Node(unsqueeze_337[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4527286Z - aten_name: 2023-07-07T20:05:32.4527530Z - function_overloads: 2023-07-07T20:05:32.4527729Z - onnx_args: 2023-07-07T20:05:32.4527936Z - onnx_kwargs: 2023-07-07T20:05:32.4528513Z - diagnostic_context: 2023-07-07T20:05:32.4528806Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4529324Z [2023-07-07 20:03:24,812] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_338]. 2023-07-07T20:05:32.4529589Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4529604Z 2023-07-07T20:05:32.4529927Z [2023-07-07 20:03:24,812] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4530268Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4530280Z 2023-07-07T20:05:32.4530603Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4531068Z - self: 2023-07-07T20:05:32.4531415Z - node: fx.Node(unsqueeze_338[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4531604Z - aten_name: 2023-07-07T20:05:32.4531824Z - function_overloads: 2023-07-07T20:05:32.4532014Z - onnx_args: 2023-07-07T20:05:32.4532213Z - onnx_kwargs: 2023-07-07T20:05:32.4532740Z - diagnostic_context: 2023-07-07T20:05:32.4533116Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4533683Z [2023-07-07 20:03:24,814] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_339]. 2023-07-07T20:05:32.4533945Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4533957Z 2023-07-07T20:05:32.4534321Z [2023-07-07 20:03:24,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4534661Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4534741Z 2023-07-07T20:05:32.4535037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4535561Z - self: 2023-07-07T20:05:32.4535928Z - node: fx.Node(unsqueeze_339[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4536132Z - aten_name: 2023-07-07T20:05:32.4536370Z - function_overloads: 2023-07-07T20:05:32.4536580Z - onnx_args: 2023-07-07T20:05:32.4536795Z - onnx_kwargs: 2023-07-07T20:05:32.4537352Z - diagnostic_context: 2023-07-07T20:05:32.4537643Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4538164Z [2023-07-07 20:03:24,819] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_340]. 2023-07-07T20:05:32.4538434Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4538446Z 2023-07-07T20:05:32.4538818Z [2023-07-07 20:03:24,819] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4539166Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4539193Z 2023-07-07T20:05:32.4539502Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4539977Z - self: 2023-07-07T20:05:32.4540353Z - node: fx.Node(unsqueeze_340[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4540566Z - aten_name: 2023-07-07T20:05:32.4540795Z - function_overloads: 2023-07-07T20:05:32.4540993Z - onnx_args: 2023-07-07T20:05:32.4541187Z - onnx_kwargs: 2023-07-07T20:05:32.4541725Z - diagnostic_context: 2023-07-07T20:05:32.4542015Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4542536Z [2023-07-07 20:03:24,821] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_341]. 2023-07-07T20:05:32.4542801Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4542812Z 2023-07-07T20:05:32.4543189Z [2023-07-07 20:03:24,821] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4543549Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4543559Z 2023-07-07T20:05:32.4543887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4544386Z - self: 2023-07-07T20:05:32.4544738Z - node: fx.Node(unsqueeze_341[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4544929Z - aten_name: 2023-07-07T20:05:32.4545153Z - function_overloads: 2023-07-07T20:05:32.4545359Z - onnx_args: 2023-07-07T20:05:32.4545562Z - onnx_kwargs: 2023-07-07T20:05:32.4546121Z - diagnostic_context: 2023-07-07T20:05:32.4546398Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4547010Z [2023-07-07 20:03:24,825] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_342]. 2023-07-07T20:05:32.4547315Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4547346Z 2023-07-07T20:05:32.4547696Z [2023-07-07 20:03:24,825] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4548061Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4548123Z 2023-07-07T20:05:32.4548438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4548919Z - self: 2023-07-07T20:05:32.4549352Z - node: fx.Node(unsqueeze_342[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4549564Z - aten_name: 2023-07-07T20:05:32.4549813Z - function_overloads: 2023-07-07T20:05:32.4550038Z - onnx_args: 2023-07-07T20:05:32.4550240Z - onnx_kwargs: 2023-07-07T20:05:32.4550788Z - diagnostic_context: 2023-07-07T20:05:32.4551077Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4551572Z [2023-07-07 20:03:24,826] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_343]. 2023-07-07T20:05:32.4551821Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4551835Z 2023-07-07T20:05:32.4552185Z [2023-07-07 20:03:24,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4552544Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4552559Z 2023-07-07T20:05:32.4552885Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4553363Z - self: 2023-07-07T20:05:32.4553753Z - node: fx.Node(unsqueeze_343[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4553954Z - aten_name: 2023-07-07T20:05:32.4554174Z - function_overloads: 2023-07-07T20:05:32.4554377Z - onnx_args: 2023-07-07T20:05:32.4554576Z - onnx_kwargs: 2023-07-07T20:05:32.4555225Z - diagnostic_context: 2023-07-07T20:05:32.4555523Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4556045Z [2023-07-07 20:03:24,835] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_43]. 2023-07-07T20:05:32.4556322Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4556334Z 2023-07-07T20:05:32.4556706Z [2023-07-07 20:03:24,835] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4557085Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4557097Z 2023-07-07T20:05:32.4557436Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4557930Z - self: 2023-07-07T20:05:32.4558305Z - node: fx.Node(convolution_43[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4558505Z - aten_name: 2023-07-07T20:05:32.4558749Z - function_overloads: 2023-07-07T20:05:32.4558943Z - onnx_args: 2023-07-07T20:05:32.4559143Z - onnx_kwargs: 2023-07-07T20:05:32.4559661Z - diagnostic_context: 2023-07-07T20:05:32.4560032Z - Return value: 2023-07-07T20:05:32.4560687Z [2023-07-07 20:03:24,839] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_86]. 2023-07-07T20:05:32.4560979Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4561037Z 2023-07-07T20:05:32.4561411Z [2023-07-07 20:03:24,840] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4561771Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4561783Z 2023-07-07T20:05:32.4562101Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4562646Z - self: 2023-07-07T20:05:32.4563114Z - node: fx.Node(convert_element_type_86[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4563305Z - aten_name: 2023-07-07T20:05:32.4563522Z - function_overloads: 2023-07-07T20:05:32.4563716Z - onnx_args: 2023-07-07T20:05:32.4563921Z - onnx_kwargs: 2023-07-07T20:05:32.4564609Z - diagnostic_context: 2023-07-07T20:05:32.4564936Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4565464Z [2023-07-07 20:03:24,841] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_87]. 2023-07-07T20:05:32.4565746Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4565761Z 2023-07-07T20:05:32.4566089Z [2023-07-07 20:03:24,841] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4566453Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4566464Z 2023-07-07T20:05:32.4566798Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4567271Z - self: 2023-07-07T20:05:32.4567702Z - node: fx.Node(convert_element_type_87[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4567906Z - aten_name: 2023-07-07T20:05:32.4568123Z - function_overloads: 2023-07-07T20:05:32.4568308Z - onnx_args: 2023-07-07T20:05:32.4568510Z - onnx_kwargs: 2023-07-07T20:05:32.4569066Z - diagnostic_context: 2023-07-07T20:05:32.4569403Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4569843Z [2023-07-07 20:03:24,847] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_43]. 2023-07-07T20:05:32.4570086Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4570097Z 2023-07-07T20:05:32.4570430Z [2023-07-07 20:03:24,847] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4570765Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4570775Z 2023-07-07T20:05:32.4571081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4571518Z - self: 2023-07-07T20:05:32.4571824Z - node: fx.Node(tensor_int_43[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4572011Z - aten_name: 2023-07-07T20:05:32.4572234Z - function_overloads: 2023-07-07T20:05:32.4572424Z - onnx_args: 2023-07-07T20:05:32.4572622Z - onnx_kwargs: 2023-07-07T20:05:32.4573152Z - diagnostic_context: 2023-07-07T20:05:32.4573440Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4574075Z [2023-07-07 20:03:24,854] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_344]. 2023-07-07T20:05:32.4574330Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4574341Z 2023-07-07T20:05:32.4574763Z [2023-07-07 20:03:24,854] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4575138Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4575149Z 2023-07-07T20:05:32.4575466Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4576009Z - self: 2023-07-07T20:05:32.4576418Z - node: fx.Node(unsqueeze_344[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4576621Z - aten_name: 2023-07-07T20:05:32.4576856Z - function_overloads: 2023-07-07T20:05:32.4577069Z - onnx_args: 2023-07-07T20:05:32.4577269Z - onnx_kwargs: 2023-07-07T20:05:32.4577815Z - diagnostic_context: 2023-07-07T20:05:32.4578080Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4578588Z [2023-07-07 20:03:24,856] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_345]. 2023-07-07T20:05:32.4578832Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4578845Z 2023-07-07T20:05:32.4579181Z [2023-07-07 20:03:24,856] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4579515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4579529Z 2023-07-07T20:05:32.4579847Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4580337Z - self: 2023-07-07T20:05:32.4580720Z - node: fx.Node(unsqueeze_345[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4580931Z - aten_name: 2023-07-07T20:05:32.4581164Z - function_overloads: 2023-07-07T20:05:32.4581347Z - onnx_args: 2023-07-07T20:05:32.4581552Z - onnx_kwargs: 2023-07-07T20:05:32.4582087Z - diagnostic_context: 2023-07-07T20:05:32.4582367Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4582890Z [2023-07-07 20:03:24,857] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_346]. 2023-07-07T20:05:32.4583131Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4583148Z 2023-07-07T20:05:32.4583504Z [2023-07-07 20:03:24,857] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4583865Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4583875Z 2023-07-07T20:05:32.4584214Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4584681Z - self: 2023-07-07T20:05:32.4585042Z - node: fx.Node(unsqueeze_346[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4585243Z - aten_name: 2023-07-07T20:05:32.4585486Z - function_overloads: 2023-07-07T20:05:32.4585696Z - onnx_args: 2023-07-07T20:05:32.4585913Z - onnx_kwargs: 2023-07-07T20:05:32.4586466Z - diagnostic_context: 2023-07-07T20:05:32.4586723Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4587203Z [2023-07-07 20:03:24,859] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_347]. 2023-07-07T20:05:32.4587460Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4587562Z 2023-07-07T20:05:32.4587926Z [2023-07-07 20:03:24,859] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4588341Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4588354Z 2023-07-07T20:05:32.4588685Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4589190Z - self: 2023-07-07T20:05:32.4589604Z - node: fx.Node(unsqueeze_347[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4589870Z - aten_name: 2023-07-07T20:05:32.4590090Z - function_overloads: 2023-07-07T20:05:32.4590302Z - onnx_args: 2023-07-07T20:05:32.4590518Z - onnx_kwargs: 2023-07-07T20:05:32.4591068Z - diagnostic_context: 2023-07-07T20:05:32.4591358Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4591879Z [2023-07-07 20:03:24,865] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_348]. 2023-07-07T20:05:32.4592140Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4592151Z 2023-07-07T20:05:32.4592501Z [2023-07-07 20:03:24,865] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4592818Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4592850Z 2023-07-07T20:05:32.4593146Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4593619Z - self: 2023-07-07T20:05:32.4593985Z - node: fx.Node(unsqueeze_348[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4594186Z - aten_name: 2023-07-07T20:05:32.4594424Z - function_overloads: 2023-07-07T20:05:32.4594725Z - onnx_args: 2023-07-07T20:05:32.4594948Z - onnx_kwargs: 2023-07-07T20:05:32.4595447Z - diagnostic_context: 2023-07-07T20:05:32.4595724Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4596207Z [2023-07-07 20:03:24,866] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_349]. 2023-07-07T20:05:32.4596462Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4596474Z 2023-07-07T20:05:32.4596807Z [2023-07-07 20:03:24,866] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4597160Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4597172Z 2023-07-07T20:05:32.4597478Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4597976Z - self: 2023-07-07T20:05:32.4598340Z - node: fx.Node(unsqueeze_349[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4598524Z - aten_name: 2023-07-07T20:05:32.4598748Z - function_overloads: 2023-07-07T20:05:32.4598932Z - onnx_args: 2023-07-07T20:05:32.4599127Z - onnx_kwargs: 2023-07-07T20:05:32.4599651Z - diagnostic_context: 2023-07-07T20:05:32.4599934Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4600409Z [2023-07-07 20:03:24,870] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_350]. 2023-07-07T20:05:32.4600647Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4600675Z 2023-07-07T20:05:32.4601127Z [2023-07-07 20:03:24,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4601533Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4601546Z 2023-07-07T20:05:32.4601859Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4602358Z - self: 2023-07-07T20:05:32.4602724Z - node: fx.Node(unsqueeze_350[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4602985Z - aten_name: 2023-07-07T20:05:32.4603221Z - function_overloads: 2023-07-07T20:05:32.4603478Z - onnx_args: 2023-07-07T20:05:32.4603676Z - onnx_kwargs: 2023-07-07T20:05:32.4604246Z - diagnostic_context: 2023-07-07T20:05:32.4604689Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4605193Z [2023-07-07 20:03:24,871] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_351]. 2023-07-07T20:05:32.4605451Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4605466Z 2023-07-07T20:05:32.4605831Z [2023-07-07 20:03:24,871] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4606201Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4606211Z 2023-07-07T20:05:32.4606544Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4606996Z - self: 2023-07-07T20:05:32.4607362Z - node: fx.Node(unsqueeze_351[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4607570Z - aten_name: 2023-07-07T20:05:32.4607796Z - function_overloads: 2023-07-07T20:05:32.4608000Z - onnx_args: 2023-07-07T20:05:32.4608211Z - onnx_kwargs: 2023-07-07T20:05:32.4608776Z - diagnostic_context: 2023-07-07T20:05:32.4609034Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4609524Z [2023-07-07 20:03:24,880] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_44]. 2023-07-07T20:05:32.4609776Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4609792Z 2023-07-07T20:05:32.4610155Z [2023-07-07 20:03:24,880] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4610518Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4610533Z 2023-07-07T20:05:32.4610855Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4611337Z - self: 2023-07-07T20:05:32.4611732Z - node: fx.Node(convolution_44[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4611943Z - aten_name: 2023-07-07T20:05:32.4612162Z - function_overloads: 2023-07-07T20:05:32.4612317Z - onnx_args: 2023-07-07T20:05:32.4612488Z - onnx_kwargs: 2023-07-07T20:05:32.4612985Z - diagnostic_context: 2023-07-07T20:05:32.4613320Z - Return value: 2023-07-07T20:05:32.4613831Z [2023-07-07 20:03:24,884] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_88]. 2023-07-07T20:05:32.4614116Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4614127Z 2023-07-07T20:05:32.4614492Z [2023-07-07 20:03:24,885] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4614992Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4615005Z 2023-07-07T20:05:32.4615377Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4615850Z - self: 2023-07-07T20:05:32.4616263Z - node: fx.Node(convert_element_type_88[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4616502Z - aten_name: 2023-07-07T20:05:32.4616708Z - function_overloads: 2023-07-07T20:05:32.4616917Z - onnx_args: 2023-07-07T20:05:32.4617189Z - onnx_kwargs: 2023-07-07T20:05:32.4617766Z - diagnostic_context: 2023-07-07T20:05:32.4618096Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4618697Z [2023-07-07 20:03:24,886] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_89]. 2023-07-07T20:05:32.4619000Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4619012Z 2023-07-07T20:05:32.4619371Z [2023-07-07 20:03:24,886] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4619704Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4619716Z 2023-07-07T20:05:32.4619993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4620438Z - self: 2023-07-07T20:05:32.4620839Z - node: fx.Node(convert_element_type_89[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4621026Z - aten_name: 2023-07-07T20:05:32.4621243Z - function_overloads: 2023-07-07T20:05:32.4621430Z - onnx_args: 2023-07-07T20:05:32.4621606Z - onnx_kwargs: 2023-07-07T20:05:32.4622119Z - diagnostic_context: 2023-07-07T20:05:32.4622445Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4622922Z [2023-07-07 20:03:24,892] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_44]. 2023-07-07T20:05:32.4623149Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4623162Z 2023-07-07T20:05:32.4623430Z [2023-07-07 20:03:24,892] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4623759Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4623769Z 2023-07-07T20:05:32.4624080Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4624514Z - self: 2023-07-07T20:05:32.4624848Z - node: fx.Node(tensor_int_44[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4625039Z - aten_name: 2023-07-07T20:05:32.4625270Z - function_overloads: 2023-07-07T20:05:32.4625486Z - onnx_args: 2023-07-07T20:05:32.4625689Z - onnx_kwargs: 2023-07-07T20:05:32.4626274Z - diagnostic_context: 2023-07-07T20:05:32.4626576Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4627109Z [2023-07-07 20:03:24,899] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_352]. 2023-07-07T20:05:32.4627382Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4627393Z 2023-07-07T20:05:32.4627762Z [2023-07-07 20:03:24,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4628222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4628233Z 2023-07-07T20:05:32.4628594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4629040Z - self: 2023-07-07T20:05:32.4629388Z - node: fx.Node(unsqueeze_352[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4629587Z - aten_name: 2023-07-07T20:05:32.4629875Z - function_overloads: 2023-07-07T20:05:32.4630078Z - onnx_args: 2023-07-07T20:05:32.4630287Z - onnx_kwargs: 2023-07-07T20:05:32.4630880Z - diagnostic_context: 2023-07-07T20:05:32.4631156Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4631680Z [2023-07-07 20:03:24,900] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_353]. 2023-07-07T20:05:32.4631940Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4631952Z 2023-07-07T20:05:32.4632325Z [2023-07-07 20:03:24,900] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4646746Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4646769Z 2023-07-07T20:05:32.4647146Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4647674Z - self: 2023-07-07T20:05:32.4648062Z - node: fx.Node(unsqueeze_353[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4648266Z - aten_name: 2023-07-07T20:05:32.4648514Z - function_overloads: 2023-07-07T20:05:32.4648729Z - onnx_args: 2023-07-07T20:05:32.4648946Z - onnx_kwargs: 2023-07-07T20:05:32.4649539Z - diagnostic_context: 2023-07-07T20:05:32.4649848Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4650387Z [2023-07-07 20:03:24,902] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_354]. 2023-07-07T20:05:32.4650630Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4650652Z 2023-07-07T20:05:32.4651003Z [2023-07-07 20:03:24,902] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4651366Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4651380Z 2023-07-07T20:05:32.4651690Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4652181Z - self: 2023-07-07T20:05:32.4652566Z - node: fx.Node(unsqueeze_354[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4652774Z - aten_name: 2023-07-07T20:05:32.4652992Z - function_overloads: 2023-07-07T20:05:32.4653182Z - onnx_args: 2023-07-07T20:05:32.4653366Z - onnx_kwargs: 2023-07-07T20:05:32.4653903Z - diagnostic_context: 2023-07-07T20:05:32.4654185Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4654682Z [2023-07-07 20:03:24,903] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_355]. 2023-07-07T20:05:32.4654943Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4654964Z 2023-07-07T20:05:32.4655340Z [2023-07-07 20:03:24,903] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4655711Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4655721Z 2023-07-07T20:05:32.4656192Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4656789Z - self: 2023-07-07T20:05:32.4657158Z - node: fx.Node(unsqueeze_355[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4657366Z - aten_name: 2023-07-07T20:05:32.4657598Z - function_overloads: 2023-07-07T20:05:32.4657806Z - onnx_args: 2023-07-07T20:05:32.4658098Z - onnx_kwargs: 2023-07-07T20:05:32.4658662Z - diagnostic_context: 2023-07-07T20:05:32.4659004Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4659496Z [2023-07-07 20:03:24,909] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_356]. 2023-07-07T20:05:32.4659761Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4659774Z 2023-07-07T20:05:32.4660150Z [2023-07-07 20:03:24,909] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4660515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4660524Z 2023-07-07T20:05:32.4660857Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4661349Z - self: 2023-07-07T20:05:32.4661748Z - node: fx.Node(unsqueeze_356[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4661957Z - aten_name: 2023-07-07T20:05:32.4662202Z - function_overloads: 2023-07-07T20:05:32.4662397Z - onnx_args: 2023-07-07T20:05:32.4662611Z - onnx_kwargs: 2023-07-07T20:05:32.4663143Z - diagnostic_context: 2023-07-07T20:05:32.4663426Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4663902Z [2023-07-07 20:03:24,910] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_357]. 2023-07-07T20:05:32.4664162Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4664174Z 2023-07-07T20:05:32.4664500Z [2023-07-07 20:03:24,910] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4664835Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4664851Z 2023-07-07T20:05:32.4665139Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4665604Z - self: 2023-07-07T20:05:32.4665973Z - node: fx.Node(unsqueeze_357[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4666178Z - aten_name: 2023-07-07T20:05:32.4666411Z - function_overloads: 2023-07-07T20:05:32.4666615Z - onnx_args: 2023-07-07T20:05:32.4666827Z - onnx_kwargs: 2023-07-07T20:05:32.4667365Z - diagnostic_context: 2023-07-07T20:05:32.4667626Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4668107Z [2023-07-07 20:03:24,915] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_358]. 2023-07-07T20:05:32.4668352Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4668363Z 2023-07-07T20:05:32.4668693Z [2023-07-07 20:03:24,915] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4669050Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4669060Z 2023-07-07T20:05:32.4669378Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4669937Z - self: 2023-07-07T20:05:32.4670368Z - node: fx.Node(unsqueeze_358[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4670564Z - aten_name: 2023-07-07T20:05:32.4670815Z - function_overloads: 2023-07-07T20:05:32.4671026Z - onnx_args: 2023-07-07T20:05:32.4671246Z - onnx_kwargs: 2023-07-07T20:05:32.4671796Z - diagnostic_context: 2023-07-07T20:05:32.4672122Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4672679Z [2023-07-07 20:03:24,916] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_359]. 2023-07-07T20:05:32.4672927Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4672938Z 2023-07-07T20:05:32.4673278Z [2023-07-07 20:03:24,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4673637Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4673649Z 2023-07-07T20:05:32.4673974Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4674468Z - self: 2023-07-07T20:05:32.4674948Z - node: fx.Node(unsqueeze_359[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4675166Z - aten_name: 2023-07-07T20:05:32.4675394Z - function_overloads: 2023-07-07T20:05:32.4675602Z - onnx_args: 2023-07-07T20:05:32.4675796Z - onnx_kwargs: 2023-07-07T20:05:32.4676350Z - diagnostic_context: 2023-07-07T20:05:32.4676637Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4677161Z [2023-07-07 20:03:24,920] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_45]. 2023-07-07T20:05:32.4677405Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4677416Z 2023-07-07T20:05:32.4677765Z [2023-07-07 20:03:24,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4678120Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4678131Z 2023-07-07T20:05:32.4678448Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4678905Z - self: 2023-07-07T20:05:32.4679290Z - node: fx.Node(convolution_45[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4679499Z - aten_name: 2023-07-07T20:05:32.4679732Z - function_overloads: 2023-07-07T20:05:32.4679932Z - onnx_args: 2023-07-07T20:05:32.4680136Z - onnx_kwargs: 2023-07-07T20:05:32.4680665Z - diagnostic_context: 2023-07-07T20:05:32.4681031Z - Return value: 2023-07-07T20:05:32.4681588Z [2023-07-07 20:03:24,924] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_90]. 2023-07-07T20:05:32.4681877Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4681894Z 2023-07-07T20:05:32.4682228Z [2023-07-07 20:03:24,924] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4682576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4682587Z 2023-07-07T20:05:32.4682912Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4683494Z - self: 2023-07-07T20:05:32.4684003Z - node: fx.Node(convert_element_type_90[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4684218Z - aten_name: 2023-07-07T20:05:32.4684625Z - function_overloads: 2023-07-07T20:05:32.4684823Z - onnx_args: 2023-07-07T20:05:32.4685041Z - onnx_kwargs: 2023-07-07T20:05:32.4685580Z - diagnostic_context: 2023-07-07T20:05:32.4686012Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4686578Z [2023-07-07 20:03:24,926] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_91]. 2023-07-07T20:05:32.4686912Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4686923Z 2023-07-07T20:05:32.4687266Z [2023-07-07 20:03:24,926] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4687628Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4687639Z 2023-07-07T20:05:32.4687967Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4688446Z - self: 2023-07-07T20:05:32.4688890Z - node: fx.Node(convert_element_type_91[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4689082Z - aten_name: 2023-07-07T20:05:32.4689309Z - function_overloads: 2023-07-07T20:05:32.4689515Z - onnx_args: 2023-07-07T20:05:32.4689719Z - onnx_kwargs: 2023-07-07T20:05:32.4690262Z - diagnostic_context: 2023-07-07T20:05:32.4690559Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4691027Z [2023-07-07 20:03:24,932] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_45]. 2023-07-07T20:05:32.4691293Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4691304Z 2023-07-07T20:05:32.4691656Z [2023-07-07 20:03:24,932] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4692013Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4692026Z 2023-07-07T20:05:32.4692344Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4692812Z - self: 2023-07-07T20:05:32.4693133Z - node: fx.Node(tensor_int_45[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4693335Z - aten_name: 2023-07-07T20:05:32.4693551Z - function_overloads: 2023-07-07T20:05:32.4693756Z - onnx_args: 2023-07-07T20:05:32.4693975Z - onnx_kwargs: 2023-07-07T20:05:32.4694536Z - diagnostic_context: 2023-07-07T20:05:32.4694820Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4695341Z [2023-07-07 20:03:24,939] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_360]. 2023-07-07T20:05:32.4695603Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4695618Z 2023-07-07T20:05:32.4695977Z [2023-07-07 20:03:24,939] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4696337Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4696365Z 2023-07-07T20:05:32.4696669Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4697293Z - self: 2023-07-07T20:05:32.4697669Z - node: fx.Node(unsqueeze_360[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4697932Z - aten_name: 2023-07-07T20:05:32.4698160Z - function_overloads: 2023-07-07T20:05:32.4698364Z - onnx_args: 2023-07-07T20:05:32.4698562Z - onnx_kwargs: 2023-07-07T20:05:32.4699080Z - diagnostic_context: 2023-07-07T20:05:32.4699425Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4699931Z [2023-07-07 20:03:24,940] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_361]. 2023-07-07T20:05:32.4700265Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4700278Z 2023-07-07T20:05:32.4700636Z [2023-07-07 20:03:24,940] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4701008Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4701019Z 2023-07-07T20:05:32.4701354Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4701833Z - self: 2023-07-07T20:05:32.4702196Z - node: fx.Node(unsqueeze_361[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4702396Z - aten_name: 2023-07-07T20:05:32.4702602Z - function_overloads: 2023-07-07T20:05:32.4702804Z - onnx_args: 2023-07-07T20:05:32.4703008Z - onnx_kwargs: 2023-07-07T20:05:32.4703581Z - diagnostic_context: 2023-07-07T20:05:32.4703878Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4704373Z [2023-07-07 20:03:24,942] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_362]. 2023-07-07T20:05:32.4704624Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4704636Z 2023-07-07T20:05:32.4705005Z [2023-07-07 20:03:24,942] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4705345Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4705371Z 2023-07-07T20:05:32.4705683Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4706191Z - self: 2023-07-07T20:05:32.4706579Z - node: fx.Node(unsqueeze_362[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4706785Z - aten_name: 2023-07-07T20:05:32.4707018Z - function_overloads: 2023-07-07T20:05:32.4707228Z - onnx_args: 2023-07-07T20:05:32.4707441Z - onnx_kwargs: 2023-07-07T20:05:32.4707991Z - diagnostic_context: 2023-07-07T20:05:32.4708285Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4708781Z [2023-07-07 20:03:24,943] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_363]. 2023-07-07T20:05:32.4709034Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4709045Z 2023-07-07T20:05:32.4709391Z [2023-07-07 20:03:24,943] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4709761Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4709776Z 2023-07-07T20:05:32.4710106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4710541Z - self: 2023-07-07T20:05:32.4710966Z - node: fx.Node(unsqueeze_363[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4711150Z - aten_name: 2023-07-07T20:05:32.4711370Z - function_overloads: 2023-07-07T20:05:32.4711603Z - onnx_args: 2023-07-07T20:05:32.4711800Z - onnx_kwargs: 2023-07-07T20:05:32.4712301Z - diagnostic_context: 2023-07-07T20:05:32.4712572Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4713044Z [2023-07-07 20:03:24,949] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_364]. 2023-07-07T20:05:32.4713374Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4713424Z 2023-07-07T20:05:32.4713750Z [2023-07-07 20:03:24,949] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4714103Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4714113Z 2023-07-07T20:05:32.4714432Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4714989Z - self: 2023-07-07T20:05:32.4715319Z - node: fx.Node(unsqueeze_364[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4715512Z - aten_name: 2023-07-07T20:05:32.4715743Z - function_overloads: 2023-07-07T20:05:32.4715926Z - onnx_args: 2023-07-07T20:05:32.4716088Z - onnx_kwargs: 2023-07-07T20:05:32.4716623Z - diagnostic_context: 2023-07-07T20:05:32.4716911Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4717415Z [2023-07-07 20:03:24,950] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_365]. 2023-07-07T20:05:32.4717664Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4717676Z 2023-07-07T20:05:32.4718041Z [2023-07-07 20:03:24,951] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4718405Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4718417Z 2023-07-07T20:05:32.4718743Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4719246Z - self: 2023-07-07T20:05:32.4719610Z - node: fx.Node(unsqueeze_365[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4719809Z - aten_name: 2023-07-07T20:05:32.4720044Z - function_overloads: 2023-07-07T20:05:32.4720243Z - onnx_args: 2023-07-07T20:05:32.4720446Z - onnx_kwargs: 2023-07-07T20:05:32.4720974Z - diagnostic_context: 2023-07-07T20:05:32.4721239Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4721700Z [2023-07-07 20:03:24,954] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_366]. 2023-07-07T20:05:32.4721940Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4721950Z 2023-07-07T20:05:32.4722303Z [2023-07-07 20:03:24,954] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4722638Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4722653Z 2023-07-07T20:05:32.4722993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4723478Z - self: 2023-07-07T20:05:32.4723825Z - node: fx.Node(unsqueeze_366[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4724017Z - aten_name: 2023-07-07T20:05:32.4724347Z - function_overloads: 2023-07-07T20:05:32.4724889Z - onnx_args: 2023-07-07T20:05:32.4725104Z - onnx_kwargs: 2023-07-07T20:05:32.4725774Z - diagnostic_context: 2023-07-07T20:05:32.4726054Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4726532Z [2023-07-07 20:03:24,956] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_367]. 2023-07-07T20:05:32.4726841Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4726853Z 2023-07-07T20:05:32.4727212Z [2023-07-07 20:03:24,956] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4727648Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4727658Z 2023-07-07T20:05:32.4727962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4728431Z - self: 2023-07-07T20:05:32.4728787Z - node: fx.Node(unsqueeze_367[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4728976Z - aten_name: 2023-07-07T20:05:32.4729217Z - function_overloads: 2023-07-07T20:05:32.4729412Z - onnx_args: 2023-07-07T20:05:32.4729620Z - onnx_kwargs: 2023-07-07T20:05:32.4730181Z - diagnostic_context: 2023-07-07T20:05:32.4730461Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4730915Z [2023-07-07 20:03:24,964] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_12]. 2023-07-07T20:05:32.4731153Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4731163Z 2023-07-07T20:05:32.4731521Z [2023-07-07 20:03:24,964] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4731885Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4731900Z 2023-07-07T20:05:32.4732238Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4732698Z - self: 2023-07-07T20:05:32.4732972Z - node: fx.Node(cat_12[call_function]'aten.cat.default') 2023-07-07T20:05:32.4733161Z - aten_name: 2023-07-07T20:05:32.4733363Z - function_overloads: 2023-07-07T20:05:32.4733540Z - onnx_args: 2023-07-07T20:05:32.4733751Z - onnx_kwargs: 2023-07-07T20:05:32.4734268Z - diagnostic_context: 2023-07-07T20:05:32.4734529Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.4734955Z [2023-07-07 20:03:24,966] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_4]. 2023-07-07T20:05:32.4735192Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4735204Z 2023-07-07T20:05:32.4735539Z [2023-07-07 20:03:24,966] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4735897Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4735908Z 2023-07-07T20:05:32.4736233Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4736705Z - self: 2023-07-07T20:05:32.4737029Z - node: fx.Node(sym_size_4[call_function]'aten.sym_size') 2023-07-07T20:05:32.4737232Z - aten_name: 2023-07-07T20:05:32.4737471Z - function_overloads: 2023-07-07T20:05:32.4737652Z - onnx_args: 2023-07-07T20:05:32.4737831Z - onnx_kwargs: 2023-07-07T20:05:32.4738485Z - diagnostic_context: 2023-07-07T20:05:32.4738809Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.4739242Z [2023-07-07 20:03:24,967] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_5]. 2023-07-07T20:05:32.4739494Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4739506Z 2023-07-07T20:05:32.4739856Z [2023-07-07 20:03:24,967] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4740277Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4740330Z 2023-07-07T20:05:32.4740656Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4741150Z - self: 2023-07-07T20:05:32.4741453Z - node: fx.Node(sym_size_5[call_function]'aten.sym_size') 2023-07-07T20:05:32.4741660Z - aten_name: 2023-07-07T20:05:32.4741895Z - function_overloads: 2023-07-07T20:05:32.4742115Z - onnx_args: 2023-07-07T20:05:32.4742328Z - onnx_kwargs: 2023-07-07T20:05:32.4742852Z - diagnostic_context: 2023-07-07T20:05:32.4743111Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.4743533Z [2023-07-07 20:03:24,971] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_12]. 2023-07-07T20:05:32.4743772Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4743786Z 2023-07-07T20:05:32.4744128Z [2023-07-07 20:03:24,971] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4744492Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4744503Z 2023-07-07T20:05:32.4744831Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4745307Z - self: 2023-07-07T20:05:32.4745647Z - node: fx.Node(transpose_12[call_function]'aten.transpose.int') 2023-07-07T20:05:32.4745834Z - aten_name: 2023-07-07T20:05:32.4746054Z - function_overloads: 2023-07-07T20:05:32.4746238Z - onnx_args: 2023-07-07T20:05:32.4746447Z - onnx_kwargs: 2023-07-07T20:05:32.4746958Z - diagnostic_context: 2023-07-07T20:05:32.4747340Z - Return value: 2023-07-07T20:05:32.4747794Z [2023-07-07 20:03:24,973] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_12]. 2023-07-07T20:05:32.4748026Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4748038Z 2023-07-07T20:05:32.4748374Z [2023-07-07 20:03:24,973] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4748740Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4748752Z 2023-07-07T20:05:32.4749064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4749562Z - self: 2023-07-07T20:05:32.4749901Z - node: fx.Node(clone_12[call_function]'aten.clone.default') 2023-07-07T20:05:32.4750103Z - aten_name: 2023-07-07T20:05:32.4750328Z - function_overloads: 2023-07-07T20:05:32.4750530Z - onnx_args: 2023-07-07T20:05:32.4750740Z - onnx_kwargs: 2023-07-07T20:05:32.4751284Z - diagnostic_context: 2023-07-07T20:05:32.4751527Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.4752057Z [2023-07-07 20:03:24,977] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_10]. 2023-07-07T20:05:32.4752359Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4752370Z 2023-07-07T20:05:32.4752694Z [2023-07-07 20:03:24,977] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4753049Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4753111Z 2023-07-07T20:05:32.4753388Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4753883Z - self: 2023-07-07T20:05:32.4754220Z - node: fx.Node(split_10[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.4754412Z - aten_name: 2023-07-07T20:05:32.4754741Z - function_overloads: 2023-07-07T20:05:32.4754968Z - onnx_args: 2023-07-07T20:05:32.4755189Z - onnx_kwargs: 2023-07-07T20:05:32.4755747Z - diagnostic_context: 2023-07-07T20:05:32.4756024Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.4756501Z [2023-07-07 20:03:24,978] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_22]. 2023-07-07T20:05:32.4756758Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4756771Z 2023-07-07T20:05:32.4757075Z [2023-07-07 20:03:24,978] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4757409Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4757420Z 2023-07-07T20:05:32.4757764Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4758282Z - self: 2023-07-07T20:05:32.4758662Z - node: fx.Node(getitem_22[call_function]'') 2023-07-07T20:05:32.4758877Z - aten_name: 2023-07-07T20:05:32.4759127Z - function_overloads: 2023-07-07T20:05:32.4759335Z - onnx_args: 2023-07-07T20:05:32.4759532Z - onnx_kwargs: 2023-07-07T20:05:32.4760045Z - diagnostic_context: 2023-07-07T20:05:32.4760312Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4760730Z [2023-07-07 20:03:24,980] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_23]. 2023-07-07T20:05:32.4760954Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4761010Z 2023-07-07T20:05:32.4761364Z [2023-07-07 20:03:24,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4761697Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4761708Z 2023-07-07T20:05:32.4762052Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4762548Z - self: 2023-07-07T20:05:32.4762917Z - node: fx.Node(getitem_23[call_function]'') 2023-07-07T20:05:32.4763127Z - aten_name: 2023-07-07T20:05:32.4763382Z - function_overloads: 2023-07-07T20:05:32.4763598Z - onnx_args: 2023-07-07T20:05:32.4763816Z - onnx_kwargs: 2023-07-07T20:05:32.4764641Z - diagnostic_context: 2023-07-07T20:05:32.4764931Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4765424Z [2023-07-07 20:03:24,982] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_46]. 2023-07-07T20:05:32.4765796Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4765809Z 2023-07-07T20:05:32.4766205Z [2023-07-07 20:03:24,982] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4766560Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4766571Z 2023-07-07T20:05:32.4766878Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4767448Z - self: 2023-07-07T20:05:32.4767920Z - node: fx.Node(convolution_46[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4768135Z - aten_name: 2023-07-07T20:05:32.4768382Z - function_overloads: 2023-07-07T20:05:32.4768585Z - onnx_args: 2023-07-07T20:05:32.4768805Z - onnx_kwargs: 2023-07-07T20:05:32.4769399Z - diagnostic_context: 2023-07-07T20:05:32.4769798Z - Return value: 2023-07-07T20:05:32.4770369Z [2023-07-07 20:03:24,987] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_92]. 2023-07-07T20:05:32.4770643Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4770653Z 2023-07-07T20:05:32.4770998Z [2023-07-07 20:03:24,987] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4771361Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4771377Z 2023-07-07T20:05:32.4771707Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4772205Z - self: 2023-07-07T20:05:32.4772673Z - node: fx.Node(convert_element_type_92[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4772891Z - aten_name: 2023-07-07T20:05:32.4773143Z - function_overloads: 2023-07-07T20:05:32.4773363Z - onnx_args: 2023-07-07T20:05:32.4773580Z - onnx_kwargs: 2023-07-07T20:05:32.4774141Z - diagnostic_context: 2023-07-07T20:05:32.4774451Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4774989Z [2023-07-07 20:03:24,988] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_93]. 2023-07-07T20:05:32.4775289Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4775300Z 2023-07-07T20:05:32.4775667Z [2023-07-07 20:03:24,989] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4776057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4776068Z 2023-07-07T20:05:32.4776418Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4776937Z - self: 2023-07-07T20:05:32.4777399Z - node: fx.Node(convert_element_type_93[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4777607Z - aten_name: 2023-07-07T20:05:32.4777836Z - function_overloads: 2023-07-07T20:05:32.4778038Z - onnx_args: 2023-07-07T20:05:32.4778241Z - onnx_kwargs: 2023-07-07T20:05:32.4778770Z - diagnostic_context: 2023-07-07T20:05:32.4779117Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4779700Z [2023-07-07 20:03:24,994] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_46]. 2023-07-07T20:05:32.4779971Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4780025Z 2023-07-07T20:05:32.4780402Z [2023-07-07 20:03:24,994] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4780770Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4780797Z 2023-07-07T20:05:32.4781124Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4781668Z - self: 2023-07-07T20:05:32.4782046Z - node: fx.Node(tensor_int_46[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4782229Z - aten_name: 2023-07-07T20:05:32.4782459Z - function_overloads: 2023-07-07T20:05:32.4782663Z - onnx_args: 2023-07-07T20:05:32.4782880Z - onnx_kwargs: 2023-07-07T20:05:32.4783444Z - diagnostic_context: 2023-07-07T20:05:32.4783748Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4784289Z [2023-07-07 20:03:25,002] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_368]. 2023-07-07T20:05:32.4784557Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4784569Z 2023-07-07T20:05:32.4784938Z [2023-07-07 20:03:25,002] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4785319Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4785333Z 2023-07-07T20:05:32.4785670Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4786135Z - self: 2023-07-07T20:05:32.4786516Z - node: fx.Node(unsqueeze_368[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4786709Z - aten_name: 2023-07-07T20:05:32.4786952Z - function_overloads: 2023-07-07T20:05:32.4787166Z - onnx_args: 2023-07-07T20:05:32.4787389Z - onnx_kwargs: 2023-07-07T20:05:32.4787977Z - diagnostic_context: 2023-07-07T20:05:32.4788277Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4788809Z [2023-07-07 20:03:25,003] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_369]. 2023-07-07T20:05:32.4789057Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4789084Z 2023-07-07T20:05:32.4789435Z [2023-07-07 20:03:25,003] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4789788Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4789803Z 2023-07-07T20:05:32.4790119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4790629Z - self: 2023-07-07T20:05:32.4790953Z - node: fx.Node(unsqueeze_369[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4791129Z - aten_name: 2023-07-07T20:05:32.4791342Z - function_overloads: 2023-07-07T20:05:32.4791547Z - onnx_args: 2023-07-07T20:05:32.4791721Z - onnx_kwargs: 2023-07-07T20:05:32.4792254Z - diagnostic_context: 2023-07-07T20:05:32.4792535Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4793032Z [2023-07-07 20:03:25,005] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_370]. 2023-07-07T20:05:32.4793379Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4793392Z 2023-07-07T20:05:32.4793799Z [2023-07-07 20:03:25,005] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4794142Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4794153Z 2023-07-07T20:05:32.4794486Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4795070Z - self: 2023-07-07T20:05:32.4795499Z - node: fx.Node(unsqueeze_370[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4795770Z - aten_name: 2023-07-07T20:05:32.4796012Z - function_overloads: 2023-07-07T20:05:32.4796223Z - onnx_args: 2023-07-07T20:05:32.4796430Z - onnx_kwargs: 2023-07-07T20:05:32.4796985Z - diagnostic_context: 2023-07-07T20:05:32.4797266Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4797740Z [2023-07-07 20:03:25,006] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_371]. 2023-07-07T20:05:32.4797992Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4798002Z 2023-07-07T20:05:32.4798349Z [2023-07-07 20:03:25,006] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4798702Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4798718Z 2023-07-07T20:05:32.4799048Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4799540Z - self: 2023-07-07T20:05:32.4799899Z - node: fx.Node(unsqueeze_371[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4800100Z - aten_name: 2023-07-07T20:05:32.4800342Z - function_overloads: 2023-07-07T20:05:32.4800531Z - onnx_args: 2023-07-07T20:05:32.4800744Z - onnx_kwargs: 2023-07-07T20:05:32.4801305Z - diagnostic_context: 2023-07-07T20:05:32.4801596Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4802097Z [2023-07-07 20:03:25,012] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_372]. 2023-07-07T20:05:32.4802346Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4802357Z 2023-07-07T20:05:32.4802707Z [2023-07-07 20:03:25,012] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4803065Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4803075Z 2023-07-07T20:05:32.4803399Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4803897Z - self: 2023-07-07T20:05:32.4804240Z - node: fx.Node(unsqueeze_372[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4804597Z - aten_name: 2023-07-07T20:05:32.4804846Z - function_overloads: 2023-07-07T20:05:32.4805038Z - onnx_args: 2023-07-07T20:05:32.4805226Z - onnx_kwargs: 2023-07-07T20:05:32.4805761Z - diagnostic_context: 2023-07-07T20:05:32.4806046Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4806553Z [2023-07-07 20:03:25,013] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_373]. 2023-07-07T20:05:32.4806815Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4806826Z 2023-07-07T20:05:32.4807293Z [2023-07-07 20:03:25,013] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4807708Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4807718Z 2023-07-07T20:05:32.4808057Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4808546Z - self: 2023-07-07T20:05:32.4808915Z - node: fx.Node(unsqueeze_373[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4809172Z - aten_name: 2023-07-07T20:05:32.4809395Z - function_overloads: 2023-07-07T20:05:32.4809664Z - onnx_args: 2023-07-07T20:05:32.4809856Z - onnx_kwargs: 2023-07-07T20:05:32.4810399Z - diagnostic_context: 2023-07-07T20:05:32.4810684Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4811198Z [2023-07-07 20:03:25,017] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_374]. 2023-07-07T20:05:32.4811463Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4811476Z 2023-07-07T20:05:32.4811814Z [2023-07-07 20:03:25,017] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4812191Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4812205Z 2023-07-07T20:05:32.4812500Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4812918Z - self: 2023-07-07T20:05:32.4813296Z - node: fx.Node(unsqueeze_374[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4813509Z - aten_name: 2023-07-07T20:05:32.4813746Z - function_overloads: 2023-07-07T20:05:32.4813947Z - onnx_args: 2023-07-07T20:05:32.4814140Z - onnx_kwargs: 2023-07-07T20:05:32.4814690Z - diagnostic_context: 2023-07-07T20:05:32.4814976Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4815472Z [2023-07-07 20:03:25,018] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_375]. 2023-07-07T20:05:32.4815718Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4815734Z 2023-07-07T20:05:32.4816107Z [2023-07-07 20:03:25,018] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4816491Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4816503Z 2023-07-07T20:05:32.4816840Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4817327Z - self: 2023-07-07T20:05:32.4817656Z - node: fx.Node(unsqueeze_375[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4817855Z - aten_name: 2023-07-07T20:05:32.4818080Z - function_overloads: 2023-07-07T20:05:32.4818271Z - onnx_args: 2023-07-07T20:05:32.4818467Z - onnx_kwargs: 2023-07-07T20:05:32.4819006Z - diagnostic_context: 2023-07-07T20:05:32.4819298Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4819795Z [2023-07-07 20:03:25,027] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_47]. 2023-07-07T20:05:32.4820062Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4820076Z 2023-07-07T20:05:32.4820428Z [2023-07-07 20:03:25,027] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4820893Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4820905Z 2023-07-07T20:05:32.4821332Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4821816Z - self: 2023-07-07T20:05:32.4822212Z - node: fx.Node(convolution_47[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4822403Z - aten_name: 2023-07-07T20:05:32.4822692Z - function_overloads: 2023-07-07T20:05:32.4822885Z - onnx_args: 2023-07-07T20:05:32.4823096Z - onnx_kwargs: 2023-07-07T20:05:32.4823699Z - diagnostic_context: 2023-07-07T20:05:32.4824054Z - Return value: 2023-07-07T20:05:32.4824620Z [2023-07-07 20:03:25,032] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_94]. 2023-07-07T20:05:32.4824908Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4824923Z 2023-07-07T20:05:32.4825287Z [2023-07-07 20:03:25,032] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4825640Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4825651Z 2023-07-07T20:05:32.4825959Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4826419Z - self: 2023-07-07T20:05:32.4826835Z - node: fx.Node(convert_element_type_94[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4827034Z - aten_name: 2023-07-07T20:05:32.4827258Z - function_overloads: 2023-07-07T20:05:32.4827452Z - onnx_args: 2023-07-07T20:05:32.4827650Z - onnx_kwargs: 2023-07-07T20:05:32.4828177Z - diagnostic_context: 2023-07-07T20:05:32.4828477Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4829036Z [2023-07-07 20:03:25,033] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_95]. 2023-07-07T20:05:32.4829314Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4829328Z 2023-07-07T20:05:32.4829693Z [2023-07-07 20:03:25,033] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4830057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4830068Z 2023-07-07T20:05:32.4830382Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4830879Z - self: 2023-07-07T20:05:32.4831316Z - node: fx.Node(convert_element_type_95[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4831508Z - aten_name: 2023-07-07T20:05:32.4831722Z - function_overloads: 2023-07-07T20:05:32.4831906Z - onnx_args: 2023-07-07T20:05:32.4832116Z - onnx_kwargs: 2023-07-07T20:05:32.4832660Z - diagnostic_context: 2023-07-07T20:05:32.4833003Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4833474Z [2023-07-07 20:03:25,039] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_47]. 2023-07-07T20:05:32.4833736Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4833746Z 2023-07-07T20:05:32.4834104Z [2023-07-07 20:03:25,039] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4834541Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4834570Z 2023-07-07T20:05:32.4835014Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4835503Z - self: 2023-07-07T20:05:32.4835827Z - node: fx.Node(tensor_int_47[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4836027Z - aten_name: 2023-07-07T20:05:32.4836322Z - function_overloads: 2023-07-07T20:05:32.4836540Z - onnx_args: 2023-07-07T20:05:32.4836794Z - onnx_kwargs: 2023-07-07T20:05:32.4837328Z - diagnostic_context: 2023-07-07T20:05:32.4837614Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4838121Z [2023-07-07 20:03:25,046] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_376]. 2023-07-07T20:05:32.4838370Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4838385Z 2023-07-07T20:05:32.4838736Z [2023-07-07 20:03:25,046] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4839098Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4839109Z 2023-07-07T20:05:32.4839433Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4839946Z - self: 2023-07-07T20:05:32.4840321Z - node: fx.Node(unsqueeze_376[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4840514Z - aten_name: 2023-07-07T20:05:32.4840750Z - function_overloads: 2023-07-07T20:05:32.4840963Z - onnx_args: 2023-07-07T20:05:32.4841175Z - onnx_kwargs: 2023-07-07T20:05:32.4841734Z - diagnostic_context: 2023-07-07T20:05:32.4842026Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4842544Z [2023-07-07 20:03:25,048] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_377]. 2023-07-07T20:05:32.4842790Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4842822Z 2023-07-07T20:05:32.4843157Z [2023-07-07 20:03:25,048] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4843521Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4843536Z 2023-07-07T20:05:32.4843863Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4844534Z - self: 2023-07-07T20:05:32.4844930Z - node: fx.Node(unsqueeze_377[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4845137Z - aten_name: 2023-07-07T20:05:32.4845362Z - function_overloads: 2023-07-07T20:05:32.4845556Z - onnx_args: 2023-07-07T20:05:32.4845750Z - onnx_kwargs: 2023-07-07T20:05:32.4846327Z - diagnostic_context: 2023-07-07T20:05:32.4846598Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4847080Z [2023-07-07 20:03:25,049] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_378]. 2023-07-07T20:05:32.4847329Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4847342Z 2023-07-07T20:05:32.4847702Z [2023-07-07 20:03:25,049] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4848059Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4848213Z 2023-07-07T20:05:32.4848548Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4849123Z - self: 2023-07-07T20:05:32.4849494Z - node: fx.Node(unsqueeze_378[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4849691Z - aten_name: 2023-07-07T20:05:32.4849918Z - function_overloads: 2023-07-07T20:05:32.4850191Z - onnx_args: 2023-07-07T20:05:32.4850401Z - onnx_kwargs: 2023-07-07T20:05:32.4850953Z - diagnostic_context: 2023-07-07T20:05:32.4851315Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4851805Z [2023-07-07 20:03:25,051] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_379]. 2023-07-07T20:05:32.4852057Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4852073Z 2023-07-07T20:05:32.4852424Z [2023-07-07 20:03:25,051] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4852776Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4852786Z 2023-07-07T20:05:32.4853109Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4853594Z - self: 2023-07-07T20:05:32.4853977Z - node: fx.Node(unsqueeze_379[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4854181Z - aten_name: 2023-07-07T20:05:32.4854403Z - function_overloads: 2023-07-07T20:05:32.4854613Z - onnx_args: 2023-07-07T20:05:32.4854820Z - onnx_kwargs: 2023-07-07T20:05:32.4855368Z - diagnostic_context: 2023-07-07T20:05:32.4855659Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4856160Z [2023-07-07 20:03:25,056] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_380]. 2023-07-07T20:05:32.4856420Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4856431Z 2023-07-07T20:05:32.4856783Z [2023-07-07 20:03:25,056] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4857134Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4857165Z 2023-07-07T20:05:32.4857481Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4857963Z - self: 2023-07-07T20:05:32.4858337Z - node: fx.Node(unsqueeze_380[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4858538Z - aten_name: 2023-07-07T20:05:32.4858780Z - function_overloads: 2023-07-07T20:05:32.4858993Z - onnx_args: 2023-07-07T20:05:32.4859200Z - onnx_kwargs: 2023-07-07T20:05:32.4859735Z - diagnostic_context: 2023-07-07T20:05:32.4860028Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4860539Z [2023-07-07 20:03:25,058] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_381]. 2023-07-07T20:05:32.4860806Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4860817Z 2023-07-07T20:05:32.4861171Z [2023-07-07 20:03:25,058] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4861534Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4861546Z 2023-07-07T20:05:32.4861969Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4862461Z - self: 2023-07-07T20:05:32.4862895Z - node: fx.Node(unsqueeze_381[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4863088Z - aten_name: 2023-07-07T20:05:32.4863325Z - function_overloads: 2023-07-07T20:05:32.4863533Z - onnx_args: 2023-07-07T20:05:32.4863736Z - onnx_kwargs: 2023-07-07T20:05:32.4864339Z - diagnostic_context: 2023-07-07T20:05:32.4864625Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4865175Z [2023-07-07 20:03:25,061] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_382]. 2023-07-07T20:05:32.4865417Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4865428Z 2023-07-07T20:05:32.4865775Z [2023-07-07 20:03:25,061] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4866137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4866148Z 2023-07-07T20:05:32.4866480Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4866971Z - self: 2023-07-07T20:05:32.4867320Z - node: fx.Node(unsqueeze_382[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4867515Z - aten_name: 2023-07-07T20:05:32.4867743Z - function_overloads: 2023-07-07T20:05:32.4867943Z - onnx_args: 2023-07-07T20:05:32.4868129Z - onnx_kwargs: 2023-07-07T20:05:32.4868666Z - diagnostic_context: 2023-07-07T20:05:32.4868950Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4869462Z [2023-07-07 20:03:25,063] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_383]. 2023-07-07T20:05:32.4869724Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4869737Z 2023-07-07T20:05:32.4870084Z [2023-07-07 20:03:25,063] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4870426Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4870439Z 2023-07-07T20:05:32.4870753Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4871227Z - self: 2023-07-07T20:05:32.4871577Z - node: fx.Node(unsqueeze_383[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4871779Z - aten_name: 2023-07-07T20:05:32.4872007Z - function_overloads: 2023-07-07T20:05:32.4872218Z - onnx_args: 2023-07-07T20:05:32.4872427Z - onnx_kwargs: 2023-07-07T20:05:32.4872973Z - diagnostic_context: 2023-07-07T20:05:32.4873269Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4873759Z [2023-07-07 20:03:25,067] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_48]. 2023-07-07T20:05:32.4874021Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4874036Z 2023-07-07T20:05:32.4874376Z [2023-07-07 20:03:25,067] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4874792Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4874804Z 2023-07-07T20:05:32.4875127Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4875715Z - self: 2023-07-07T20:05:32.4876123Z - node: fx.Node(convolution_48[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4876381Z - aten_name: 2023-07-07T20:05:32.4876623Z - function_overloads: 2023-07-07T20:05:32.4876816Z - onnx_args: 2023-07-07T20:05:32.4877029Z - onnx_kwargs: 2023-07-07T20:05:32.4877575Z - diagnostic_context: 2023-07-07T20:05:32.4877996Z - Return value: 2023-07-07T20:05:32.4878568Z [2023-07-07 20:03:25,071] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_96]. 2023-07-07T20:05:32.4878899Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4878911Z 2023-07-07T20:05:32.4879258Z [2023-07-07 20:03:25,071] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4879610Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4879621Z 2023-07-07T20:05:32.4879923Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4880392Z - self: 2023-07-07T20:05:32.4880826Z - node: fx.Node(convert_element_type_96[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4881028Z - aten_name: 2023-07-07T20:05:32.4881259Z - function_overloads: 2023-07-07T20:05:32.4881451Z - onnx_args: 2023-07-07T20:05:32.4881665Z - onnx_kwargs: 2023-07-07T20:05:32.4882214Z - diagnostic_context: 2023-07-07T20:05:32.4882534Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4883104Z [2023-07-07 20:03:25,073] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_97]. 2023-07-07T20:05:32.4883403Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4883415Z 2023-07-07T20:05:32.4883786Z [2023-07-07 20:03:25,073] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4884163Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4884177Z 2023-07-07T20:05:32.4884658Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4885142Z - self: 2023-07-07T20:05:32.4885566Z - node: fx.Node(convert_element_type_97[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4885770Z - aten_name: 2023-07-07T20:05:32.4885992Z - function_overloads: 2023-07-07T20:05:32.4886208Z - onnx_args: 2023-07-07T20:05:32.4886411Z - onnx_kwargs: 2023-07-07T20:05:32.4886948Z - diagnostic_context: 2023-07-07T20:05:32.4887282Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4887753Z [2023-07-07 20:03:25,079] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_48]. 2023-07-07T20:05:32.4888010Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4888027Z 2023-07-07T20:05:32.4888395Z [2023-07-07 20:03:25,079] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4888735Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4888762Z 2023-07-07T20:05:32.4889056Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4889622Z - self: 2023-07-07T20:05:32.4889995Z - node: fx.Node(tensor_int_48[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4890195Z - aten_name: 2023-07-07T20:05:32.4890413Z - function_overloads: 2023-07-07T20:05:32.4890620Z - onnx_args: 2023-07-07T20:05:32.4890832Z - onnx_kwargs: 2023-07-07T20:05:32.4891348Z - diagnostic_context: 2023-07-07T20:05:32.4891693Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4892158Z [2023-07-07 20:03:25,086] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_384]. 2023-07-07T20:05:32.4892488Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4892500Z 2023-07-07T20:05:32.4892828Z [2023-07-07 20:03:25,086] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4893195Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4893206Z 2023-07-07T20:05:32.4893518Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4893957Z - self: 2023-07-07T20:05:32.4894311Z - node: fx.Node(unsqueeze_384[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4894502Z - aten_name: 2023-07-07T20:05:32.4894743Z - function_overloads: 2023-07-07T20:05:32.4894953Z - onnx_args: 2023-07-07T20:05:32.4895159Z - onnx_kwargs: 2023-07-07T20:05:32.4895692Z - diagnostic_context: 2023-07-07T20:05:32.4895963Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4896464Z [2023-07-07 20:03:25,088] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_385]. 2023-07-07T20:05:32.4896706Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4896732Z 2023-07-07T20:05:32.4897086Z [2023-07-07 20:03:25,088] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4897422Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4897432Z 2023-07-07T20:05:32.4897774Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4898258Z - self: 2023-07-07T20:05:32.4898615Z - node: fx.Node(unsqueeze_385[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4898807Z - aten_name: 2023-07-07T20:05:32.4899033Z - function_overloads: 2023-07-07T20:05:32.4899230Z - onnx_args: 2023-07-07T20:05:32.4899408Z - onnx_kwargs: 2023-07-07T20:05:32.4899909Z - diagnostic_context: 2023-07-07T20:05:32.4900183Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4900655Z [2023-07-07 20:03:25,089] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_386]. 2023-07-07T20:05:32.4900900Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4900912Z 2023-07-07T20:05:32.4901234Z [2023-07-07 20:03:25,089] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4901569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4901581Z 2023-07-07T20:05:32.4901896Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4902357Z - self: 2023-07-07T20:05:32.4902824Z - node: fx.Node(unsqueeze_386[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4903008Z - aten_name: 2023-07-07T20:05:32.4903281Z - function_overloads: 2023-07-07T20:05:32.4903491Z - onnx_args: 2023-07-07T20:05:32.4903707Z - onnx_kwargs: 2023-07-07T20:05:32.4904233Z - diagnostic_context: 2023-07-07T20:05:32.4904524Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4905044Z [2023-07-07 20:03:25,090] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_387]. 2023-07-07T20:05:32.4905289Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4905354Z 2023-07-07T20:05:32.4905716Z [2023-07-07 20:03:25,091] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4906087Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4906099Z 2023-07-07T20:05:32.4906418Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4906880Z - self: 2023-07-07T20:05:32.4907252Z - node: fx.Node(unsqueeze_387[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4907442Z - aten_name: 2023-07-07T20:05:32.4907651Z - function_overloads: 2023-07-07T20:05:32.4907858Z - onnx_args: 2023-07-07T20:05:32.4908065Z - onnx_kwargs: 2023-07-07T20:05:32.4908598Z - diagnostic_context: 2023-07-07T20:05:32.4908864Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4909331Z [2023-07-07 20:03:25,096] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_388]. 2023-07-07T20:05:32.4909563Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4909576Z 2023-07-07T20:05:32.4909905Z [2023-07-07 20:03:25,096] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4910245Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4910273Z 2023-07-07T20:05:32.4910579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4911048Z - self: 2023-07-07T20:05:32.4911416Z - node: fx.Node(unsqueeze_388[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4911612Z - aten_name: 2023-07-07T20:05:32.4911841Z - function_overloads: 2023-07-07T20:05:32.4912048Z - onnx_args: 2023-07-07T20:05:32.4912259Z - onnx_kwargs: 2023-07-07T20:05:32.4912778Z - diagnostic_context: 2023-07-07T20:05:32.4913062Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4913561Z [2023-07-07 20:03:25,098] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_389]. 2023-07-07T20:05:32.4913818Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4913830Z 2023-07-07T20:05:32.4914187Z [2023-07-07 20:03:25,098] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4914555Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4914570Z 2023-07-07T20:05:32.4914980Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4915438Z - self: 2023-07-07T20:05:32.4915788Z - node: fx.Node(unsqueeze_389[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4915967Z - aten_name: 2023-07-07T20:05:32.4916294Z - function_overloads: 2023-07-07T20:05:32.4916502Z - onnx_args: 2023-07-07T20:05:32.4916750Z - onnx_kwargs: 2023-07-07T20:05:32.4917311Z - diagnostic_context: 2023-07-07T20:05:32.4917598Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4918085Z [2023-07-07 20:03:25,101] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_390]. 2023-07-07T20:05:32.4918377Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4918406Z 2023-07-07T20:05:32.4918725Z [2023-07-07 20:03:25,101] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4919102Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4919112Z 2023-07-07T20:05:32.4919423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4919888Z - self: 2023-07-07T20:05:32.4920225Z - node: fx.Node(unsqueeze_390[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4920427Z - aten_name: 2023-07-07T20:05:32.4920643Z - function_overloads: 2023-07-07T20:05:32.4920836Z - onnx_args: 2023-07-07T20:05:32.4921015Z - onnx_kwargs: 2023-07-07T20:05:32.4921526Z - diagnostic_context: 2023-07-07T20:05:32.4921789Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4922276Z [2023-07-07 20:03:25,103] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_391]. 2023-07-07T20:05:32.4922531Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4922541Z 2023-07-07T20:05:32.4922902Z [2023-07-07 20:03:25,103] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4923249Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4923259Z 2023-07-07T20:05:32.4923566Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4924019Z - self: 2023-07-07T20:05:32.4924347Z - node: fx.Node(unsqueeze_391[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4924681Z - aten_name: 2023-07-07T20:05:32.4924911Z - function_overloads: 2023-07-07T20:05:32.4925118Z - onnx_args: 2023-07-07T20:05:32.4925312Z - onnx_kwargs: 2023-07-07T20:05:32.4925831Z - diagnostic_context: 2023-07-07T20:05:32.4926098Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4926552Z [2023-07-07 20:03:25,111] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_13]. 2023-07-07T20:05:32.4926797Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4926807Z 2023-07-07T20:05:32.4927144Z [2023-07-07 20:03:25,111] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4927481Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4927492Z 2023-07-07T20:05:32.4927805Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4928297Z - self: 2023-07-07T20:05:32.4928612Z - node: fx.Node(cat_13[call_function]'aten.cat.default') 2023-07-07T20:05:32.4928814Z - aten_name: 2023-07-07T20:05:32.4929031Z - function_overloads: 2023-07-07T20:05:32.4929207Z - onnx_args: 2023-07-07T20:05:32.4929570Z - onnx_kwargs: 2023-07-07T20:05:32.4930090Z - diagnostic_context: 2023-07-07T20:05:32.4930387Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.4930868Z [2023-07-07 20:03:25,115] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_13]. 2023-07-07T20:05:32.4931113Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4931124Z 2023-07-07T20:05:32.4931503Z [2023-07-07 20:03:25,115] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4931834Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4931916Z 2023-07-07T20:05:32.4932209Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4932671Z - self: 2023-07-07T20:05:32.4932985Z - node: fx.Node(transpose_13[call_function]'aten.transpose.int') 2023-07-07T20:05:32.4933179Z - aten_name: 2023-07-07T20:05:32.4933402Z - function_overloads: 2023-07-07T20:05:32.4933609Z - onnx_args: 2023-07-07T20:05:32.4933814Z - onnx_kwargs: 2023-07-07T20:05:32.4934337Z - diagnostic_context: 2023-07-07T20:05:32.4934705Z - Return value: 2023-07-07T20:05:32.4935155Z [2023-07-07 20:03:25,117] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_13]. 2023-07-07T20:05:32.4935391Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4935403Z 2023-07-07T20:05:32.4935741Z [2023-07-07 20:03:25,117] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4936095Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4936110Z 2023-07-07T20:05:32.4936449Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4936950Z - self: 2023-07-07T20:05:32.4937276Z - node: fx.Node(clone_13[call_function]'aten.clone.default') 2023-07-07T20:05:32.4937462Z - aten_name: 2023-07-07T20:05:32.4937682Z - function_overloads: 2023-07-07T20:05:32.4937888Z - onnx_args: 2023-07-07T20:05:32.4938084Z - onnx_kwargs: 2023-07-07T20:05:32.4938598Z - diagnostic_context: 2023-07-07T20:05:32.4938872Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.4939334Z [2023-07-07 20:03:25,121] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_11]. 2023-07-07T20:05:32.4939585Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4939601Z 2023-07-07T20:05:32.4939918Z [2023-07-07 20:03:25,121] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4940293Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4940305Z 2023-07-07T20:05:32.4940628Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4941129Z - self: 2023-07-07T20:05:32.4941473Z - node: fx.Node(split_11[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.4941677Z - aten_name: 2023-07-07T20:05:32.4941893Z - function_overloads: 2023-07-07T20:05:32.4942087Z - onnx_args: 2023-07-07T20:05:32.4942267Z - onnx_kwargs: 2023-07-07T20:05:32.4942797Z - diagnostic_context: 2023-07-07T20:05:32.4943142Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.4943715Z [2023-07-07 20:03:25,123] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_24]. 2023-07-07T20:05:32.4943965Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4943977Z 2023-07-07T20:05:32.4944338Z [2023-07-07 20:03:25,123] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4944696Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4944775Z 2023-07-07T20:05:32.4945104Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4945590Z - self: 2023-07-07T20:05:32.4945910Z - node: fx.Node(getitem_24[call_function]'') 2023-07-07T20:05:32.4946093Z - aten_name: 2023-07-07T20:05:32.4946330Z - function_overloads: 2023-07-07T20:05:32.4946510Z - onnx_args: 2023-07-07T20:05:32.4946705Z - onnx_kwargs: 2023-07-07T20:05:32.4947278Z - diagnostic_context: 2023-07-07T20:05:32.4947535Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4947999Z [2023-07-07 20:03:25,124] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_25]. 2023-07-07T20:05:32.4948246Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4948257Z 2023-07-07T20:05:32.4948608Z [2023-07-07 20:03:25,124] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4948995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4949007Z 2023-07-07T20:05:32.4949330Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4949824Z - self: 2023-07-07T20:05:32.4950181Z - node: fx.Node(getitem_25[call_function]'') 2023-07-07T20:05:32.4950376Z - aten_name: 2023-07-07T20:05:32.4950604Z - function_overloads: 2023-07-07T20:05:32.4950788Z - onnx_args: 2023-07-07T20:05:32.4951001Z - onnx_kwargs: 2023-07-07T20:05:32.4951583Z - diagnostic_context: 2023-07-07T20:05:32.4951871Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.4952371Z [2023-07-07 20:03:25,126] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_49]. 2023-07-07T20:05:32.4952622Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4952633Z 2023-07-07T20:05:32.4952970Z [2023-07-07 20:03:25,127] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4953330Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4953339Z 2023-07-07T20:05:32.4953618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4954059Z - self: 2023-07-07T20:05:32.4954421Z - node: fx.Node(convolution_49[call_function]'aten.convolution.default') 2023-07-07T20:05:32.4954725Z - aten_name: 2023-07-07T20:05:32.4954947Z - function_overloads: 2023-07-07T20:05:32.4955144Z - onnx_args: 2023-07-07T20:05:32.4955349Z - onnx_kwargs: 2023-07-07T20:05:32.4955881Z - diagnostic_context: 2023-07-07T20:05:32.4956245Z - Return value: 2023-07-07T20:05:32.4956922Z [2023-07-07 20:03:25,131] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_98]. 2023-07-07T20:05:32.4957264Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4957278Z 2023-07-07T20:05:32.4957656Z [2023-07-07 20:03:25,131] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4958006Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4958059Z 2023-07-07T20:05:32.4958401Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4958933Z - self: 2023-07-07T20:05:32.4959383Z - node: fx.Node(convert_element_type_98[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4959593Z - aten_name: 2023-07-07T20:05:32.4959828Z - function_overloads: 2023-07-07T20:05:32.4960047Z - onnx_args: 2023-07-07T20:05:32.4960263Z - onnx_kwargs: 2023-07-07T20:05:32.4960826Z - diagnostic_context: 2023-07-07T20:05:32.4961155Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4961660Z [2023-07-07 20:03:25,132] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_99]. 2023-07-07T20:05:32.4961913Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4961925Z 2023-07-07T20:05:32.4962290Z [2023-07-07 20:03:25,132] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4962660Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4962670Z 2023-07-07T20:05:32.4963022Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4963522Z - self: 2023-07-07T20:05:32.4963967Z - node: fx.Node(convert_element_type_99[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.4964140Z - aten_name: 2023-07-07T20:05:32.4964347Z - function_overloads: 2023-07-07T20:05:32.4964675Z - onnx_args: 2023-07-07T20:05:32.4964867Z - onnx_kwargs: 2023-07-07T20:05:32.4965315Z - diagnostic_context: 2023-07-07T20:05:32.4965590Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.4965988Z [2023-07-07 20:03:25,136] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_49]. 2023-07-07T20:05:32.4966206Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4966217Z 2023-07-07T20:05:32.4966534Z [2023-07-07 20:03:25,136] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4966857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4966867Z 2023-07-07T20:05:32.4967147Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4967537Z - self: 2023-07-07T20:05:32.4967837Z - node: fx.Node(tensor_int_49[call_function]'aten.tensor.int') 2023-07-07T20:05:32.4968012Z - aten_name: 2023-07-07T20:05:32.4968233Z - function_overloads: 2023-07-07T20:05:32.4968429Z - onnx_args: 2023-07-07T20:05:32.4968619Z - onnx_kwargs: 2023-07-07T20:05:32.4969105Z - diagnostic_context: 2023-07-07T20:05:32.4969362Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.4969961Z [2023-07-07 20:03:25,141] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_392]. 2023-07-07T20:05:32.4970228Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4970239Z 2023-07-07T20:05:32.4970552Z [2023-07-07 20:03:25,141] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4970874Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4970938Z 2023-07-07T20:05:32.4971233Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4971723Z - self: 2023-07-07T20:05:32.4972048Z - node: fx.Node(unsqueeze_392[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4972246Z - aten_name: 2023-07-07T20:05:32.4972476Z - function_overloads: 2023-07-07T20:05:32.4972660Z - onnx_args: 2023-07-07T20:05:32.4972872Z - onnx_kwargs: 2023-07-07T20:05:32.4973432Z - diagnostic_context: 2023-07-07T20:05:32.4973714Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4974234Z [2023-07-07 20:03:25,142] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_393]. 2023-07-07T20:05:32.4974497Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4974516Z 2023-07-07T20:05:32.4974887Z [2023-07-07 20:03:25,142] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4975221Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4975232Z 2023-07-07T20:05:32.4975527Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4975975Z - self: 2023-07-07T20:05:32.4976331Z - node: fx.Node(unsqueeze_393[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4976529Z - aten_name: 2023-07-07T20:05:32.4976752Z - function_overloads: 2023-07-07T20:05:32.4976949Z - onnx_args: 2023-07-07T20:05:32.4977155Z - onnx_kwargs: 2023-07-07T20:05:32.4977695Z - diagnostic_context: 2023-07-07T20:05:32.4977970Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4978456Z [2023-07-07 20:03:25,143] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_394]. 2023-07-07T20:05:32.4978697Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4978708Z 2023-07-07T20:05:32.4979050Z [2023-07-07 20:03:25,143] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4979391Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4979402Z 2023-07-07T20:05:32.4979724Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4980197Z - self: 2023-07-07T20:05:32.4980540Z - node: fx.Node(unsqueeze_394[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4980740Z - aten_name: 2023-07-07T20:05:32.4980957Z - function_overloads: 2023-07-07T20:05:32.4981153Z - onnx_args: 2023-07-07T20:05:32.4981348Z - onnx_kwargs: 2023-07-07T20:05:32.4981896Z - diagnostic_context: 2023-07-07T20:05:32.4982171Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4982678Z [2023-07-07 20:03:25,144] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_395]. 2023-07-07T20:05:32.4983046Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4983059Z 2023-07-07T20:05:32.4983467Z [2023-07-07 20:03:25,144] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4983812Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4983840Z 2023-07-07T20:05:32.4984129Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4984682Z - self: 2023-07-07T20:05:32.4985129Z - node: fx.Node(unsqueeze_395[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4985329Z - aten_name: 2023-07-07T20:05:32.4985558Z - function_overloads: 2023-07-07T20:05:32.4985755Z - onnx_args: 2023-07-07T20:05:32.4985960Z - onnx_kwargs: 2023-07-07T20:05:32.4986480Z - diagnostic_context: 2023-07-07T20:05:32.4986764Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4987262Z [2023-07-07 20:03:25,148] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_396]. 2023-07-07T20:05:32.4987512Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4987523Z 2023-07-07T20:05:32.4987853Z [2023-07-07 20:03:25,148] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4988187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4988203Z 2023-07-07T20:05:32.4988530Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4989016Z - self: 2023-07-07T20:05:32.4989402Z - node: fx.Node(unsqueeze_396[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4989590Z - aten_name: 2023-07-07T20:05:32.4989824Z - function_overloads: 2023-07-07T20:05:32.4990034Z - onnx_args: 2023-07-07T20:05:32.4990230Z - onnx_kwargs: 2023-07-07T20:05:32.4990780Z - diagnostic_context: 2023-07-07T20:05:32.4991065Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4991572Z [2023-07-07 20:03:25,149] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_397]. 2023-07-07T20:05:32.4991823Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4991854Z 2023-07-07T20:05:32.4992203Z [2023-07-07 20:03:25,149] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4992567Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4992581Z 2023-07-07T20:05:32.4992914Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4993416Z - self: 2023-07-07T20:05:32.4993805Z - node: fx.Node(unsqueeze_397[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4994016Z - aten_name: 2023-07-07T20:05:32.4994250Z - function_overloads: 2023-07-07T20:05:32.4994460Z - onnx_args: 2023-07-07T20:05:32.4994744Z - onnx_kwargs: 2023-07-07T20:05:32.4995270Z - diagnostic_context: 2023-07-07T20:05:32.4995553Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.4996056Z [2023-07-07 20:03:25,152] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_398]. 2023-07-07T20:05:32.4996299Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.4996310Z 2023-07-07T20:05:32.4996737Z [2023-07-07 20:03:25,152] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.4997130Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.4997141Z 2023-07-07T20:05:32.4997458Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.4997939Z - self: 2023-07-07T20:05:32.4998315Z - node: fx.Node(unsqueeze_398[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.4998508Z - aten_name: 2023-07-07T20:05:32.4998798Z - function_overloads: 2023-07-07T20:05:32.4999013Z - onnx_args: 2023-07-07T20:05:32.4999218Z - onnx_kwargs: 2023-07-07T20:05:32.4999739Z - diagnostic_context: 2023-07-07T20:05:32.5000028Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5000492Z [2023-07-07 20:03:25,153] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_399]. 2023-07-07T20:05:32.5000742Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5000753Z 2023-07-07T20:05:32.5001105Z [2023-07-07 20:03:25,153] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5001456Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5001473Z 2023-07-07T20:05:32.5001784Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5002282Z - self: 2023-07-07T20:05:32.5002664Z - node: fx.Node(unsqueeze_399[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5002863Z - aten_name: 2023-07-07T20:05:32.5003099Z - function_overloads: 2023-07-07T20:05:32.5003285Z - onnx_args: 2023-07-07T20:05:32.5003484Z - onnx_kwargs: 2023-07-07T20:05:32.5004018Z - diagnostic_context: 2023-07-07T20:05:32.5004299Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5005089Z [2023-07-07 20:03:25,160] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_50]. 2023-07-07T20:05:32.5005360Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5005372Z 2023-07-07T20:05:32.5005731Z [2023-07-07 20:03:25,160] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5006093Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5006105Z 2023-07-07T20:05:32.5006398Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5006878Z - self: 2023-07-07T20:05:32.5007259Z - node: fx.Node(convolution_50[call_function]'aten.convolution.default') 2023-07-07T20:05:32.5007458Z - aten_name: 2023-07-07T20:05:32.5007696Z - function_overloads: 2023-07-07T20:05:32.5007897Z - onnx_args: 2023-07-07T20:05:32.5008105Z - onnx_kwargs: 2023-07-07T20:05:32.5008648Z - diagnostic_context: 2023-07-07T20:05:32.5009034Z - Return value: 2023-07-07T20:05:32.5009599Z [2023-07-07 20:03:25,163] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_100]. 2023-07-07T20:05:32.5009888Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5009901Z 2023-07-07T20:05:32.5010383Z [2023-07-07 20:03:25,163] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5010815Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5010827Z 2023-07-07T20:05:32.5011163Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5011643Z - self: 2023-07-07T20:05:32.5012184Z - node: fx.Node(convert_element_type_100[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5012391Z - aten_name: 2023-07-07T20:05:32.5012675Z - function_overloads: 2023-07-07T20:05:32.5012886Z - onnx_args: 2023-07-07T20:05:32.5013105Z - onnx_kwargs: 2023-07-07T20:05:32.5013650Z - diagnostic_context: 2023-07-07T20:05:32.5013986Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5014565Z [2023-07-07 20:03:25,164] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_101]. 2023-07-07T20:05:32.5014855Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5014868Z 2023-07-07T20:05:32.5015228Z [2023-07-07 20:03:25,164] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5015573Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5015589Z 2023-07-07T20:05:32.5015913Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5016413Z - self: 2023-07-07T20:05:32.5016846Z - node: fx.Node(convert_element_type_101[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5017044Z - aten_name: 2023-07-07T20:05:32.5017279Z - function_overloads: 2023-07-07T20:05:32.5017489Z - onnx_args: 2023-07-07T20:05:32.5017690Z - onnx_kwargs: 2023-07-07T20:05:32.5018157Z - diagnostic_context: 2023-07-07T20:05:32.5018465Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5018923Z [2023-07-07 20:03:25,168] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_50]. 2023-07-07T20:05:32.5019181Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5019193Z 2023-07-07T20:05:32.5019551Z [2023-07-07 20:03:25,169] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5019905Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5019915Z 2023-07-07T20:05:32.5020235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5020723Z - self: 2023-07-07T20:05:32.5021014Z - node: fx.Node(tensor_int_50[call_function]'aten.tensor.int') 2023-07-07T20:05:32.5021210Z - aten_name: 2023-07-07T20:05:32.5021422Z - function_overloads: 2023-07-07T20:05:32.5021611Z - onnx_args: 2023-07-07T20:05:32.5021804Z - onnx_kwargs: 2023-07-07T20:05:32.5022343Z - diagnostic_context: 2023-07-07T20:05:32.5022629Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.5023140Z [2023-07-07 20:03:25,173] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_400]. 2023-07-07T20:05:32.5023370Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5023381Z 2023-07-07T20:05:32.5023837Z [2023-07-07 20:03:25,173] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5024265Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5024278Z 2023-07-07T20:05:32.5024598Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5025072Z - self: 2023-07-07T20:05:32.5025445Z - node: fx.Node(unsqueeze_400[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5025716Z - aten_name: 2023-07-07T20:05:32.5025950Z - function_overloads: 2023-07-07T20:05:32.5026225Z - onnx_args: 2023-07-07T20:05:32.5026418Z - onnx_kwargs: 2023-07-07T20:05:32.5026934Z - diagnostic_context: 2023-07-07T20:05:32.5027217Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5027709Z [2023-07-07 20:03:25,174] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_401]. 2023-07-07T20:05:32.5027971Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5027983Z 2023-07-07T20:05:32.5028345Z [2023-07-07 20:03:25,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5028703Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5028719Z 2023-07-07T20:05:32.5029032Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5029489Z - self: 2023-07-07T20:05:32.5029865Z - node: fx.Node(unsqueeze_401[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5030075Z - aten_name: 2023-07-07T20:05:32.5030321Z - function_overloads: 2023-07-07T20:05:32.5030535Z - onnx_args: 2023-07-07T20:05:32.5030746Z - onnx_kwargs: 2023-07-07T20:05:32.5031290Z - diagnostic_context: 2023-07-07T20:05:32.5031523Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5031990Z [2023-07-07 20:03:25,176] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_402]. 2023-07-07T20:05:32.5032217Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5032233Z 2023-07-07T20:05:32.5032577Z [2023-07-07 20:03:25,176] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5032939Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5032949Z 2023-07-07T20:05:32.5033282Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5033751Z - self: 2023-07-07T20:05:32.5034137Z - node: fx.Node(unsqueeze_402[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5034337Z - aten_name: 2023-07-07T20:05:32.5034556Z - function_overloads: 2023-07-07T20:05:32.5034851Z - onnx_args: 2023-07-07T20:05:32.5035059Z - onnx_kwargs: 2023-07-07T20:05:32.5035588Z - diagnostic_context: 2023-07-07T20:05:32.5035865Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5036343Z [2023-07-07 20:03:25,177] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_403]. 2023-07-07T20:05:32.5036605Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5036617Z 2023-07-07T20:05:32.5036969Z [2023-07-07 20:03:25,177] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5037397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5037426Z 2023-07-07T20:05:32.5037792Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5038295Z - self: 2023-07-07T20:05:32.5038665Z - node: fx.Node(unsqueeze_403[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5038863Z - aten_name: 2023-07-07T20:05:32.5039149Z - function_overloads: 2023-07-07T20:05:32.5039359Z - onnx_args: 2023-07-07T20:05:32.5039575Z - onnx_kwargs: 2023-07-07T20:05:32.5040148Z - diagnostic_context: 2023-07-07T20:05:32.5040444Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5040958Z [2023-07-07 20:03:25,181] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_404]. 2023-07-07T20:05:32.5041205Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5041218Z 2023-07-07T20:05:32.5041581Z [2023-07-07 20:03:25,181] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5041895Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5041903Z 2023-07-07T20:05:32.5042185Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5042690Z - self: 2023-07-07T20:05:32.5043075Z - node: fx.Node(unsqueeze_404[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5043273Z - aten_name: 2023-07-07T20:05:32.5043515Z - function_overloads: 2023-07-07T20:05:32.5043719Z - onnx_args: 2023-07-07T20:05:32.5043925Z - onnx_kwargs: 2023-07-07T20:05:32.5044700Z - diagnostic_context: 2023-07-07T20:05:32.5044994Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5045488Z [2023-07-07 20:03:25,182] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_405]. 2023-07-07T20:05:32.5045721Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5045748Z 2023-07-07T20:05:32.5046073Z [2023-07-07 20:03:25,182] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5046421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5046436Z 2023-07-07T20:05:32.5046757Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5047233Z - self: 2023-07-07T20:05:32.5047597Z - node: fx.Node(unsqueeze_405[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5047794Z - aten_name: 2023-07-07T20:05:32.5048026Z - function_overloads: 2023-07-07T20:05:32.5048228Z - onnx_args: 2023-07-07T20:05:32.5048417Z - onnx_kwargs: 2023-07-07T20:05:32.5048892Z - diagnostic_context: 2023-07-07T20:05:32.5049191Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5049686Z [2023-07-07 20:03:25,184] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_406]. 2023-07-07T20:05:32.5049939Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5049952Z 2023-07-07T20:05:32.5050290Z [2023-07-07 20:03:25,184] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5050646Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5050656Z 2023-07-07T20:05:32.5051093Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5051605Z - self: 2023-07-07T20:05:32.5051974Z - node: fx.Node(unsqueeze_406[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5052167Z - aten_name: 2023-07-07T20:05:32.5052391Z - function_overloads: 2023-07-07T20:05:32.5052598Z - onnx_args: 2023-07-07T20:05:32.5052863Z - onnx_kwargs: 2023-07-07T20:05:32.5053405Z - diagnostic_context: 2023-07-07T20:05:32.5053735Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5054206Z [2023-07-07 20:03:25,185] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_407]. 2023-07-07T20:05:32.5054454Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5054464Z 2023-07-07T20:05:32.5054809Z [2023-07-07 20:03:25,185] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5055158Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5055169Z 2023-07-07T20:05:32.5055485Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5055963Z - self: 2023-07-07T20:05:32.5056335Z - node: fx.Node(unsqueeze_407[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5056536Z - aten_name: 2023-07-07T20:05:32.5056756Z - function_overloads: 2023-07-07T20:05:32.5056954Z - onnx_args: 2023-07-07T20:05:32.5057161Z - onnx_kwargs: 2023-07-07T20:05:32.5057686Z - diagnostic_context: 2023-07-07T20:05:32.5057981Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5058479Z [2023-07-07 20:03:25,188] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_51]. 2023-07-07T20:05:32.5058740Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5058752Z 2023-07-07T20:05:32.5059111Z [2023-07-07 20:03:25,188] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5059456Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5059486Z 2023-07-07T20:05:32.5059795Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5060278Z - self: 2023-07-07T20:05:32.5060661Z - node: fx.Node(convolution_51[call_function]'aten.convolution.default') 2023-07-07T20:05:32.5060867Z - aten_name: 2023-07-07T20:05:32.5061082Z - function_overloads: 2023-07-07T20:05:32.5061292Z - onnx_args: 2023-07-07T20:05:32.5061501Z - onnx_kwargs: 2023-07-07T20:05:32.5062050Z - diagnostic_context: 2023-07-07T20:05:32.5062443Z - Return value: 2023-07-07T20:05:32.5063023Z [2023-07-07 20:03:25,192] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_102]. 2023-07-07T20:05:32.5063304Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5063313Z 2023-07-07T20:05:32.5063681Z [2023-07-07 20:03:25,192] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5064057Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5064067Z 2023-07-07T20:05:32.5064505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5065052Z - self: 2023-07-07T20:05:32.5065476Z - node: fx.Node(convert_element_type_102[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5065670Z - aten_name: 2023-07-07T20:05:32.5065917Z - function_overloads: 2023-07-07T20:05:32.5066119Z - onnx_args: 2023-07-07T20:05:32.5066307Z - onnx_kwargs: 2023-07-07T20:05:32.5066871Z - diagnostic_context: 2023-07-07T20:05:32.5067253Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5067813Z [2023-07-07 20:03:25,193] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_103]. 2023-07-07T20:05:32.5068092Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5068107Z 2023-07-07T20:05:32.5068428Z [2023-07-07 20:03:25,193] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5068775Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5068786Z 2023-07-07T20:05:32.5069092Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5069537Z - self: 2023-07-07T20:05:32.5069956Z - node: fx.Node(convert_element_type_103[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5070154Z - aten_name: 2023-07-07T20:05:32.5070381Z - function_overloads: 2023-07-07T20:05:32.5070581Z - onnx_args: 2023-07-07T20:05:32.5070761Z - onnx_kwargs: 2023-07-07T20:05:32.5071275Z - diagnostic_context: 2023-07-07T20:05:32.5071593Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5072044Z [2023-07-07 20:03:25,197] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_51]. 2023-07-07T20:05:32.5072257Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5072267Z 2023-07-07T20:05:32.5072598Z [2023-07-07 20:03:25,197] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5072930Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5072945Z 2023-07-07T20:05:32.5073243Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5073698Z - self: 2023-07-07T20:05:32.5074017Z - node: fx.Node(tensor_int_51[call_function]'aten.tensor.int') 2023-07-07T20:05:32.5074221Z - aten_name: 2023-07-07T20:05:32.5074453Z - function_overloads: 2023-07-07T20:05:32.5074750Z - onnx_args: 2023-07-07T20:05:32.5074960Z - onnx_kwargs: 2023-07-07T20:05:32.5075482Z - diagnostic_context: 2023-07-07T20:05:32.5075767Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.5076273Z [2023-07-07 20:03:25,202] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_408]. 2023-07-07T20:05:32.5076506Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5076518Z 2023-07-07T20:05:32.5076860Z [2023-07-07 20:03:25,202] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5077225Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5077237Z 2023-07-07T20:05:32.5077682Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5078187Z - self: 2023-07-07T20:05:32.5078625Z - node: fx.Node(unsqueeze_408[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5078841Z - aten_name: 2023-07-07T20:05:32.5079086Z - function_overloads: 2023-07-07T20:05:32.5079284Z - onnx_args: 2023-07-07T20:05:32.5079500Z - onnx_kwargs: 2023-07-07T20:05:32.5080105Z - diagnostic_context: 2023-07-07T20:05:32.5080402Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5080986Z [2023-07-07 20:03:25,203] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_409]. 2023-07-07T20:05:32.5081229Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5081243Z 2023-07-07T20:05:32.5081592Z [2023-07-07 20:03:25,203] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5081961Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5081972Z 2023-07-07T20:05:32.5082299Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5082788Z - self: 2023-07-07T20:05:32.5083173Z - node: fx.Node(unsqueeze_409[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5083379Z - aten_name: 2023-07-07T20:05:32.5083607Z - function_overloads: 2023-07-07T20:05:32.5083820Z - onnx_args: 2023-07-07T20:05:32.5084025Z - onnx_kwargs: 2023-07-07T20:05:32.5084689Z - diagnostic_context: 2023-07-07T20:05:32.5084948Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5085450Z [2023-07-07 20:03:25,204] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_410]. 2023-07-07T20:05:32.5085714Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5085726Z 2023-07-07T20:05:32.5086080Z [2023-07-07 20:03:25,204] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5086438Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5086453Z 2023-07-07T20:05:32.5086747Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5087171Z - self: 2023-07-07T20:05:32.5087546Z - node: fx.Node(unsqueeze_410[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5087732Z - aten_name: 2023-07-07T20:05:32.5087957Z - function_overloads: 2023-07-07T20:05:32.5088157Z - onnx_args: 2023-07-07T20:05:32.5088346Z - onnx_kwargs: 2023-07-07T20:05:32.5088849Z - diagnostic_context: 2023-07-07T20:05:32.5089134Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5089628Z [2023-07-07 20:03:25,205] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_411]. 2023-07-07T20:05:32.5089874Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5089889Z 2023-07-07T20:05:32.5090249Z [2023-07-07 20:03:25,205] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5090596Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5090608Z 2023-07-07T20:05:32.5090934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5091516Z - self: 2023-07-07T20:05:32.5091864Z - node: fx.Node(unsqueeze_411[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5092123Z - aten_name: 2023-07-07T20:05:32.5092346Z - function_overloads: 2023-07-07T20:05:32.5092537Z - onnx_args: 2023-07-07T20:05:32.5092726Z - onnx_kwargs: 2023-07-07T20:05:32.5093224Z - diagnostic_context: 2023-07-07T20:05:32.5093573Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5094075Z [2023-07-07 20:03:25,209] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_412]. 2023-07-07T20:05:32.5094399Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5094412Z 2023-07-07T20:05:32.5094743Z [2023-07-07 20:03:25,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5095095Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5095106Z 2023-07-07T20:05:32.5095446Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5095910Z - self: 2023-07-07T20:05:32.5096278Z - node: fx.Node(unsqueeze_412[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5096469Z - aten_name: 2023-07-07T20:05:32.5096710Z - function_overloads: 2023-07-07T20:05:32.5096917Z - onnx_args: 2023-07-07T20:05:32.5097124Z - onnx_kwargs: 2023-07-07T20:05:32.5097673Z - diagnostic_context: 2023-07-07T20:05:32.5097966Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5098469Z [2023-07-07 20:03:25,210] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_413]. 2023-07-07T20:05:32.5098722Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5098749Z 2023-07-07T20:05:32.5099094Z [2023-07-07 20:03:25,210] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5099458Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5099470Z 2023-07-07T20:05:32.5099797Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5100285Z - self: 2023-07-07T20:05:32.5100633Z - node: fx.Node(unsqueeze_413[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5100837Z - aten_name: 2023-07-07T20:05:32.5101049Z - function_overloads: 2023-07-07T20:05:32.5101243Z - onnx_args: 2023-07-07T20:05:32.5101417Z - onnx_kwargs: 2023-07-07T20:05:32.5101930Z - diagnostic_context: 2023-07-07T20:05:32.5102194Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5102669Z [2023-07-07 20:03:25,213] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_414]. 2023-07-07T20:05:32.5102911Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5102923Z 2023-07-07T20:05:32.5103259Z [2023-07-07 20:03:25,213] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5103608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5103622Z 2023-07-07T20:05:32.5103938Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5104366Z - self: 2023-07-07T20:05:32.5104718Z - node: fx.Node(unsqueeze_414[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5105012Z - aten_name: 2023-07-07T20:05:32.5105254Z - function_overloads: 2023-07-07T20:05:32.5105504Z - onnx_args: 2023-07-07T20:05:32.5105714Z - onnx_kwargs: 2023-07-07T20:05:32.5106229Z - diagnostic_context: 2023-07-07T20:05:32.5106496Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5106945Z [2023-07-07 20:03:25,214] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_415]. 2023-07-07T20:05:32.5107223Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5107274Z 2023-07-07T20:05:32.5107617Z [2023-07-07 20:03:25,214] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5107975Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5107987Z 2023-07-07T20:05:32.5108320Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5108788Z - self: 2023-07-07T20:05:32.5109155Z - node: fx.Node(unsqueeze_415[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5109340Z - aten_name: 2023-07-07T20:05:32.5109566Z - function_overloads: 2023-07-07T20:05:32.5109785Z - onnx_args: 2023-07-07T20:05:32.5109998Z - onnx_kwargs: 2023-07-07T20:05:32.5110483Z - diagnostic_context: 2023-07-07T20:05:32.5110736Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5111197Z [2023-07-07 20:03:25,220] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_14]. 2023-07-07T20:05:32.5111444Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5111456Z 2023-07-07T20:05:32.5111834Z [2023-07-07 20:03:25,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5112208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5112236Z 2023-07-07T20:05:32.5112571Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5113057Z - self: 2023-07-07T20:05:32.5113362Z - node: fx.Node(cat_14[call_function]'aten.cat.default') 2023-07-07T20:05:32.5113562Z - aten_name: 2023-07-07T20:05:32.5113798Z - function_overloads: 2023-07-07T20:05:32.5113996Z - onnx_args: 2023-07-07T20:05:32.5114209Z - onnx_kwargs: 2023-07-07T20:05:32.5114867Z - diagnostic_context: 2023-07-07T20:05:32.5115126Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.5115616Z [2023-07-07 20:03:25,223] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_14]. 2023-07-07T20:05:32.5115882Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5115893Z 2023-07-07T20:05:32.5116268Z [2023-07-07 20:03:25,223] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5116646Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5116659Z 2023-07-07T20:05:32.5116998Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5117507Z - self: 2023-07-07T20:05:32.5117866Z - node: fx.Node(transpose_14[call_function]'aten.transpose.int') 2023-07-07T20:05:32.5118055Z - aten_name: 2023-07-07T20:05:32.5118301Z - function_overloads: 2023-07-07T20:05:32.5118613Z - onnx_args: 2023-07-07T20:05:32.5118829Z - onnx_kwargs: 2023-07-07T20:05:32.5119447Z - diagnostic_context: 2023-07-07T20:05:32.5119839Z - Return value: 2023-07-07T20:05:32.5120267Z [2023-07-07 20:03:25,225] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_14]. 2023-07-07T20:05:32.5120472Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5120555Z 2023-07-07T20:05:32.5120879Z [2023-07-07 20:03:25,225] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5121287Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5121297Z 2023-07-07T20:05:32.5121625Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5122108Z - self: 2023-07-07T20:05:32.5122409Z - node: fx.Node(clone_14[call_function]'aten.clone.default') 2023-07-07T20:05:32.5122606Z - aten_name: 2023-07-07T20:05:32.5122842Z - function_overloads: 2023-07-07T20:05:32.5123042Z - onnx_args: 2023-07-07T20:05:32.5123227Z - onnx_kwargs: 2023-07-07T20:05:32.5123727Z - diagnostic_context: 2023-07-07T20:05:32.5123990Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.5124584Z [2023-07-07 20:03:25,227] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_12]. 2023-07-07T20:05:32.5124816Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5124825Z 2023-07-07T20:05:32.5125157Z [2023-07-07 20:03:25,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5125471Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5125481Z 2023-07-07T20:05:32.5125787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5126204Z - self: 2023-07-07T20:05:32.5126517Z - node: fx.Node(split_12[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.5126707Z - aten_name: 2023-07-07T20:05:32.5126925Z - function_overloads: 2023-07-07T20:05:32.5127131Z - onnx_args: 2023-07-07T20:05:32.5127337Z - onnx_kwargs: 2023-07-07T20:05:32.5127909Z - diagnostic_context: 2023-07-07T20:05:32.5128182Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.5128663Z [2023-07-07 20:03:25,229] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_26]. 2023-07-07T20:05:32.5128922Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5128934Z 2023-07-07T20:05:32.5129300Z [2023-07-07 20:03:25,229] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5129669Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5129680Z 2023-07-07T20:05:32.5129992Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5130478Z - self: 2023-07-07T20:05:32.5130823Z - node: fx.Node(getitem_26[call_function]'') 2023-07-07T20:05:32.5131011Z - aten_name: 2023-07-07T20:05:32.5131226Z - function_overloads: 2023-07-07T20:05:32.5131429Z - onnx_args: 2023-07-07T20:05:32.5131637Z - onnx_kwargs: 2023-07-07T20:05:32.5132296Z - diagnostic_context: 2023-07-07T20:05:32.5132565Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5133108Z [2023-07-07 20:03:25,230] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_27]. 2023-07-07T20:05:32.5133343Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5133357Z 2023-07-07T20:05:32.5133679Z [2023-07-07 20:03:25,230] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5134096Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5134177Z 2023-07-07T20:05:32.5134482Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5134945Z - self: 2023-07-07T20:05:32.5135299Z - node: fx.Node(getitem_27[call_function]'') 2023-07-07T20:05:32.5135505Z - aten_name: 2023-07-07T20:05:32.5135723Z - function_overloads: 2023-07-07T20:05:32.5135935Z - onnx_args: 2023-07-07T20:05:32.5136156Z - onnx_kwargs: 2023-07-07T20:05:32.5136679Z - diagnostic_context: 2023-07-07T20:05:32.5136946Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5137424Z [2023-07-07 20:03:25,231] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_52]. 2023-07-07T20:05:32.5137670Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5137685Z 2023-07-07T20:05:32.5138037Z [2023-07-07 20:03:25,231] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5138360Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5138368Z 2023-07-07T20:05:32.5138629Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5139073Z - self: 2023-07-07T20:05:32.5139452Z - node: fx.Node(convolution_52[call_function]'aten.convolution.default') 2023-07-07T20:05:32.5139647Z - aten_name: 2023-07-07T20:05:32.5139878Z - function_overloads: 2023-07-07T20:05:32.5140122Z - onnx_args: 2023-07-07T20:05:32.5140331Z - onnx_kwargs: 2023-07-07T20:05:32.5140774Z - diagnostic_context: 2023-07-07T20:05:32.5141098Z - Return value: 2023-07-07T20:05:32.5141576Z [2023-07-07 20:03:25,234] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_104]. 2023-07-07T20:05:32.5141824Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5141838Z 2023-07-07T20:05:32.5142131Z [2023-07-07 20:03:25,234] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5142448Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5142458Z 2023-07-07T20:05:32.5142748Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5143186Z - self: 2023-07-07T20:05:32.5143592Z - node: fx.Node(convert_element_type_104[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5143781Z - aten_name: 2023-07-07T20:05:32.5143998Z - function_overloads: 2023-07-07T20:05:32.5144205Z - onnx_args: 2023-07-07T20:05:32.5144384Z - onnx_kwargs: 2023-07-07T20:05:32.5144978Z - diagnostic_context: 2023-07-07T20:05:32.5145286Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5145862Z [2023-07-07 20:03:25,236] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_105]. 2023-07-07T20:05:32.5146134Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5146145Z 2023-07-07T20:05:32.5146470Z [2023-07-07 20:03:25,236] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5146877Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5146928Z 2023-07-07T20:05:32.5147271Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5147760Z - self: 2023-07-07T20:05:32.5148165Z - node: fx.Node(convert_element_type_105[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5148369Z - aten_name: 2023-07-07T20:05:32.5148613Z - function_overloads: 2023-07-07T20:05:32.5148834Z - onnx_args: 2023-07-07T20:05:32.5149053Z - onnx_kwargs: 2023-07-07T20:05:32.5149617Z - diagnostic_context: 2023-07-07T20:05:32.5149951Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5150428Z [2023-07-07 20:03:25,240] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_52]. 2023-07-07T20:05:32.5150655Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5150670Z 2023-07-07T20:05:32.5151040Z [2023-07-07 20:03:25,240] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5151414Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5151425Z 2023-07-07T20:05:32.5151771Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5152262Z - self: 2023-07-07T20:05:32.5152608Z - node: fx.Node(tensor_int_52[call_function]'aten.tensor.int') 2023-07-07T20:05:32.5152816Z - aten_name: 2023-07-07T20:05:32.5153059Z - function_overloads: 2023-07-07T20:05:32.5153255Z - onnx_args: 2023-07-07T20:05:32.5153478Z - onnx_kwargs: 2023-07-07T20:05:32.5154036Z - diagnostic_context: 2023-07-07T20:05:32.5154330Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.5154927Z [2023-07-07 20:03:25,245] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_416]. 2023-07-07T20:05:32.5155189Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5155204Z 2023-07-07T20:05:32.5155564Z [2023-07-07 20:03:25,245] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5155916Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5155924Z 2023-07-07T20:05:32.5156262Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5156736Z - self: 2023-07-07T20:05:32.5157089Z - node: fx.Node(unsqueeze_416[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5157303Z - aten_name: 2023-07-07T20:05:32.5157549Z - function_overloads: 2023-07-07T20:05:32.5157765Z - onnx_args: 2023-07-07T20:05:32.5157971Z - onnx_kwargs: 2023-07-07T20:05:32.5158466Z - diagnostic_context: 2023-07-07T20:05:32.5158806Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5159363Z [2023-07-07 20:03:25,246] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_417]. 2023-07-07T20:05:32.5159600Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5159611Z 2023-07-07T20:05:32.5159963Z [2023-07-07 20:03:25,246] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5160311Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5160369Z 2023-07-07T20:05:32.5160694Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5161217Z - self: 2023-07-07T20:05:32.5161587Z - node: fx.Node(unsqueeze_417[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5161797Z - aten_name: 2023-07-07T20:05:32.5162019Z - function_overloads: 2023-07-07T20:05:32.5162238Z - onnx_args: 2023-07-07T20:05:32.5162463Z - onnx_kwargs: 2023-07-07T20:05:32.5163029Z - diagnostic_context: 2023-07-07T20:05:32.5163318Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5163832Z [2023-07-07 20:03:25,247] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_418]. 2023-07-07T20:05:32.5164094Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5164106Z 2023-07-07T20:05:32.5164615Z [2023-07-07 20:03:25,247] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5164973Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5164984Z 2023-07-07T20:05:32.5165330Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5165846Z - self: 2023-07-07T20:05:32.5166245Z - node: fx.Node(unsqueeze_418[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5166448Z - aten_name: 2023-07-07T20:05:32.5166688Z - function_overloads: 2023-07-07T20:05:32.5166901Z - onnx_args: 2023-07-07T20:05:32.5167119Z - onnx_kwargs: 2023-07-07T20:05:32.5167670Z - diagnostic_context: 2023-07-07T20:05:32.5167963Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5168486Z [2023-07-07 20:03:25,248] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_419]. 2023-07-07T20:05:32.5168745Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5168756Z 2023-07-07T20:05:32.5169124Z [2023-07-07 20:03:25,248] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5169510Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5169521Z 2023-07-07T20:05:32.5169861Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5170363Z - self: 2023-07-07T20:05:32.5170753Z - node: fx.Node(unsqueeze_419[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5170945Z - aten_name: 2023-07-07T20:05:32.5171183Z - function_overloads: 2023-07-07T20:05:32.5171391Z - onnx_args: 2023-07-07T20:05:32.5171602Z - onnx_kwargs: 2023-07-07T20:05:32.5172183Z - diagnostic_context: 2023-07-07T20:05:32.5172469Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5173094Z [2023-07-07 20:03:25,252] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_420]. 2023-07-07T20:05:32.5173389Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5173401Z 2023-07-07T20:05:32.5173772Z [2023-07-07 20:03:25,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5174152Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5174164Z 2023-07-07T20:05:32.5174553Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5175096Z - self: 2023-07-07T20:05:32.5175547Z - node: fx.Node(unsqueeze_420[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5175758Z - aten_name: 2023-07-07T20:05:32.5176004Z - function_overloads: 2023-07-07T20:05:32.5176196Z - onnx_args: 2023-07-07T20:05:32.5176409Z - onnx_kwargs: 2023-07-07T20:05:32.5176959Z - diagnostic_context: 2023-07-07T20:05:32.5177253Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5177768Z [2023-07-07 20:03:25,253] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_421]. 2023-07-07T20:05:32.5178035Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5178049Z 2023-07-07T20:05:32.5178417Z [2023-07-07 20:03:25,253] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5178800Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5178815Z 2023-07-07T20:05:32.5179153Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5179650Z - self: 2023-07-07T20:05:32.5180042Z - node: fx.Node(unsqueeze_421[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5180256Z - aten_name: 2023-07-07T20:05:32.5180502Z - function_overloads: 2023-07-07T20:05:32.5180712Z - onnx_args: 2023-07-07T20:05:32.5180926Z - onnx_kwargs: 2023-07-07T20:05:32.5181488Z - diagnostic_context: 2023-07-07T20:05:32.5181761Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5182261Z [2023-07-07 20:03:25,256] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_422]. 2023-07-07T20:05:32.5182523Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5182535Z 2023-07-07T20:05:32.5182900Z [2023-07-07 20:03:25,256] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5183280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5183291Z 2023-07-07T20:05:32.5183640Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5184147Z - self: 2023-07-07T20:05:32.5184538Z - node: fx.Node(unsqueeze_422[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5184744Z - aten_name: 2023-07-07T20:05:32.5184973Z - function_overloads: 2023-07-07T20:05:32.5185191Z - onnx_args: 2023-07-07T20:05:32.5185406Z - onnx_kwargs: 2023-07-07T20:05:32.5185974Z - diagnostic_context: 2023-07-07T20:05:32.5186263Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5186765Z [2023-07-07 20:03:25,257] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_423]. 2023-07-07T20:05:32.5187101Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5187113Z 2023-07-07T20:05:32.5187509Z [2023-07-07 20:03:25,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5187835Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5187861Z 2023-07-07T20:05:32.5188145Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5188652Z - self: 2023-07-07T20:05:32.5189015Z - node: fx.Node(unsqueeze_423[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5189269Z - aten_name: 2023-07-07T20:05:32.5189506Z - function_overloads: 2023-07-07T20:05:32.5189716Z - onnx_args: 2023-07-07T20:05:32.5189929Z - onnx_kwargs: 2023-07-07T20:05:32.5190450Z - diagnostic_context: 2023-07-07T20:05:32.5190732Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5191244Z [2023-07-07 20:03:25,263] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_53]. 2023-07-07T20:05:32.5191476Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5191487Z 2023-07-07T20:05:32.5191842Z [2023-07-07 20:03:25,264] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5192208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5192222Z 2023-07-07T20:05:32.5192546Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5193018Z - self: 2023-07-07T20:05:32.5193387Z - node: fx.Node(convolution_53[call_function]'aten.convolution.default') 2023-07-07T20:05:32.5193581Z - aten_name: 2023-07-07T20:05:32.5193827Z - function_overloads: 2023-07-07T20:05:32.5194043Z - onnx_args: 2023-07-07T20:05:32.5194262Z - onnx_kwargs: 2023-07-07T20:05:32.5194930Z - diagnostic_context: 2023-07-07T20:05:32.5195334Z - Return value: 2023-07-07T20:05:32.5195874Z [2023-07-07 20:03:25,267] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_106]. 2023-07-07T20:05:32.5196124Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5196138Z 2023-07-07T20:05:32.5196436Z [2023-07-07 20:03:25,267] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5196760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5196774Z 2023-07-07T20:05:32.5197069Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5197505Z - self: 2023-07-07T20:05:32.5197949Z - node: fx.Node(convert_element_type_106[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5198161Z - aten_name: 2023-07-07T20:05:32.5198405Z - function_overloads: 2023-07-07T20:05:32.5198617Z - onnx_args: 2023-07-07T20:05:32.5198817Z - onnx_kwargs: 2023-07-07T20:05:32.5199374Z - diagnostic_context: 2023-07-07T20:05:32.5199711Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5200303Z [2023-07-07 20:03:25,268] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_107]. 2023-07-07T20:05:32.5200692Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5200707Z 2023-07-07T20:05:32.5201115Z [2023-07-07 20:03:25,268] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5201491Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5201503Z 2023-07-07T20:05:32.5201839Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5202376Z - self: 2023-07-07T20:05:32.5202811Z - node: fx.Node(convert_element_type_107[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5203067Z - aten_name: 2023-07-07T20:05:32.5203309Z - function_overloads: 2023-07-07T20:05:32.5203519Z - onnx_args: 2023-07-07T20:05:32.5203734Z - onnx_kwargs: 2023-07-07T20:05:32.5204309Z - diagnostic_context: 2023-07-07T20:05:32.5204793Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5205265Z [2023-07-07 20:03:25,272] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_53]. 2023-07-07T20:05:32.5205524Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5205537Z 2023-07-07T20:05:32.5205883Z [2023-07-07 20:03:25,272] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5206251Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5206269Z 2023-07-07T20:05:32.5206579Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5207008Z - self: 2023-07-07T20:05:32.5207330Z - node: fx.Node(tensor_int_53[call_function]'aten.tensor.int') 2023-07-07T20:05:32.5207508Z - aten_name: 2023-07-07T20:05:32.5207742Z - function_overloads: 2023-07-07T20:05:32.5207936Z - onnx_args: 2023-07-07T20:05:32.5208133Z - onnx_kwargs: 2023-07-07T20:05:32.5208663Z - diagnostic_context: 2023-07-07T20:05:32.5208934Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.5209421Z [2023-07-07 20:03:25,278] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_424]. 2023-07-07T20:05:32.5209658Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5209674Z 2023-07-07T20:05:32.5210013Z [2023-07-07 20:03:25,278] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5210364Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5210374Z 2023-07-07T20:05:32.5210677Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5211148Z - self: 2023-07-07T20:05:32.5211528Z - node: fx.Node(unsqueeze_424[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5211738Z - aten_name: 2023-07-07T20:05:32.5211964Z - function_overloads: 2023-07-07T20:05:32.5212154Z - onnx_args: 2023-07-07T20:05:32.5212349Z - onnx_kwargs: 2023-07-07T20:05:32.5212901Z - diagnostic_context: 2023-07-07T20:05:32.5213176Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5213691Z [2023-07-07 20:03:25,279] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_425]. 2023-07-07T20:05:32.5213951Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5214085Z 2023-07-07T20:05:32.5214448Z [2023-07-07 20:03:25,279] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5214890Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5214905Z 2023-07-07T20:05:32.5215241Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5215722Z - self: 2023-07-07T20:05:32.5216152Z - node: fx.Node(unsqueeze_425[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5216341Z - aten_name: 2023-07-07T20:05:32.5216614Z - function_overloads: 2023-07-07T20:05:32.5216820Z - onnx_args: 2023-07-07T20:05:32.5217027Z - onnx_kwargs: 2023-07-07T20:05:32.5217574Z - diagnostic_context: 2023-07-07T20:05:32.5217849Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5218337Z [2023-07-07 20:03:25,280] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_426]. 2023-07-07T20:05:32.5218578Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5218589Z 2023-07-07T20:05:32.5218935Z [2023-07-07 20:03:25,280] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5219246Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5219260Z 2023-07-07T20:05:32.5219569Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5220025Z - self: 2023-07-07T20:05:32.5220374Z - node: fx.Node(unsqueeze_426[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5220573Z - aten_name: 2023-07-07T20:05:32.5220809Z - function_overloads: 2023-07-07T20:05:32.5221009Z - onnx_args: 2023-07-07T20:05:32.5221212Z - onnx_kwargs: 2023-07-07T20:05:32.5221706Z - diagnostic_context: 2023-07-07T20:05:32.5221978Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5222471Z [2023-07-07 20:03:25,281] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_427]. 2023-07-07T20:05:32.5222721Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5222733Z 2023-07-07T20:05:32.5223085Z [2023-07-07 20:03:25,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5223443Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5223453Z 2023-07-07T20:05:32.5223757Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5224218Z - self: 2023-07-07T20:05:32.5224563Z - node: fx.Node(unsqueeze_427[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5224778Z - aten_name: 2023-07-07T20:05:32.5225006Z - function_overloads: 2023-07-07T20:05:32.5225191Z - onnx_args: 2023-07-07T20:05:32.5225353Z - onnx_kwargs: 2023-07-07T20:05:32.5225846Z - diagnostic_context: 2023-07-07T20:05:32.5226090Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5226546Z [2023-07-07 20:03:25,285] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_428]. 2023-07-07T20:05:32.5226772Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5226783Z 2023-07-07T20:05:32.5227111Z [2023-07-07 20:03:25,285] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5227600Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5227613Z 2023-07-07T20:05:32.5227926Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5228395Z - self: 2023-07-07T20:05:32.5228757Z - node: fx.Node(unsqueeze_428[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5229029Z - aten_name: 2023-07-07T20:05:32.5229271Z - function_overloads: 2023-07-07T20:05:32.5229503Z - onnx_args: 2023-07-07T20:05:32.5229704Z - onnx_kwargs: 2023-07-07T20:05:32.5230265Z - diagnostic_context: 2023-07-07T20:05:32.5230556Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5231063Z [2023-07-07 20:03:25,286] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_429]. 2023-07-07T20:05:32.5231333Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5231345Z 2023-07-07T20:05:32.5231709Z [2023-07-07 20:03:25,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5232095Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5232104Z 2023-07-07T20:05:32.5232449Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5232865Z - self: 2023-07-07T20:05:32.5233180Z - node: fx.Node(unsqueeze_429[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5233339Z - aten_name: 2023-07-07T20:05:32.5233541Z - function_overloads: 2023-07-07T20:05:32.5233720Z - onnx_args: 2023-07-07T20:05:32.5233895Z - onnx_kwargs: 2023-07-07T20:05:32.5234334Z - diagnostic_context: 2023-07-07T20:05:32.5234536Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5235131Z [2023-07-07 20:03:25,288] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_430]. 2023-07-07T20:05:32.5235370Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5235387Z 2023-07-07T20:05:32.5235706Z [2023-07-07 20:03:25,289] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5236059Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5236074Z 2023-07-07T20:05:32.5236364Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5236818Z - self: 2023-07-07T20:05:32.5237164Z - node: fx.Node(unsqueeze_430[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5237353Z - aten_name: 2023-07-07T20:05:32.5237562Z - function_overloads: 2023-07-07T20:05:32.5237740Z - onnx_args: 2023-07-07T20:05:32.5237933Z - onnx_kwargs: 2023-07-07T20:05:32.5238424Z - diagnostic_context: 2023-07-07T20:05:32.5238698Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5239214Z [2023-07-07 20:03:25,290] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_431]. 2023-07-07T20:05:32.5239488Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5239501Z 2023-07-07T20:05:32.5239864Z [2023-07-07 20:03:25,290] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5240332Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5240364Z 2023-07-07T20:05:32.5240785Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5241284Z - self: 2023-07-07T20:05:32.5241630Z - node: fx.Node(unsqueeze_431[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5241832Z - aten_name: 2023-07-07T20:05:32.5242068Z - function_overloads: 2023-07-07T20:05:32.5242322Z - onnx_args: 2023-07-07T20:05:32.5242525Z - onnx_kwargs: 2023-07-07T20:05:32.5243086Z - diagnostic_context: 2023-07-07T20:05:32.5243373Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5243871Z [2023-07-07 20:03:25,292] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_54]. 2023-07-07T20:05:32.5244141Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5244153Z 2023-07-07T20:05:32.5244650Z [2023-07-07 20:03:25,292] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5245019Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5245030Z 2023-07-07T20:05:32.5245358Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5245802Z - self: 2023-07-07T20:05:32.5246160Z - node: fx.Node(convolution_54[call_function]'aten.convolution.default') 2023-07-07T20:05:32.5246350Z - aten_name: 2023-07-07T20:05:32.5246583Z - function_overloads: 2023-07-07T20:05:32.5246797Z - onnx_args: 2023-07-07T20:05:32.5247011Z - onnx_kwargs: 2023-07-07T20:05:32.5247552Z - diagnostic_context: 2023-07-07T20:05:32.5247928Z - Return value: 2023-07-07T20:05:32.5248520Z [2023-07-07 20:03:25,295] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_108]. 2023-07-07T20:05:32.5248804Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5248832Z 2023-07-07T20:05:32.5249182Z [2023-07-07 20:03:25,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5249561Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5249576Z 2023-07-07T20:05:32.5249911Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5250380Z - self: 2023-07-07T20:05:32.5250835Z - node: fx.Node(convert_element_type_108[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5251042Z - aten_name: 2023-07-07T20:05:32.5251288Z - function_overloads: 2023-07-07T20:05:32.5251489Z - onnx_args: 2023-07-07T20:05:32.5251658Z - onnx_kwargs: 2023-07-07T20:05:32.5252181Z - diagnostic_context: 2023-07-07T20:05:32.5252510Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5253078Z [2023-07-07 20:03:25,297] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_109]. 2023-07-07T20:05:32.5253366Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5253377Z 2023-07-07T20:05:32.5253734Z [2023-07-07 20:03:25,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5254199Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5254211Z 2023-07-07T20:05:32.5254570Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5255053Z - self: 2023-07-07T20:05:32.5255477Z - node: fx.Node(convert_element_type_109[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5255678Z - aten_name: 2023-07-07T20:05:32.5255986Z - function_overloads: 2023-07-07T20:05:32.5256193Z - onnx_args: 2023-07-07T20:05:32.5256402Z - onnx_kwargs: 2023-07-07T20:05:32.5256977Z - diagnostic_context: 2023-07-07T20:05:32.5257301Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5257735Z [2023-07-07 20:03:25,301] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_54]. 2023-07-07T20:05:32.5257996Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5258008Z 2023-07-07T20:05:32.5258371Z [2023-07-07 20:03:25,301] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5258749Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5258760Z 2023-07-07T20:05:32.5259081Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5259542Z - self: 2023-07-07T20:05:32.5259872Z - node: fx.Node(tensor_int_54[call_function]'aten.tensor.int') 2023-07-07T20:05:32.5260075Z - aten_name: 2023-07-07T20:05:32.5260312Z - function_overloads: 2023-07-07T20:05:32.5260508Z - onnx_args: 2023-07-07T20:05:32.5260717Z - onnx_kwargs: 2023-07-07T20:05:32.5261247Z - diagnostic_context: 2023-07-07T20:05:32.5261533Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.5262039Z [2023-07-07 20:03:25,306] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_432]. 2023-07-07T20:05:32.5262281Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5262293Z 2023-07-07T20:05:32.5262636Z [2023-07-07 20:03:25,306] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5263000Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5263015Z 2023-07-07T20:05:32.5263328Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5263841Z - self: 2023-07-07T20:05:32.5264237Z - node: fx.Node(unsqueeze_432[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5264455Z - aten_name: 2023-07-07T20:05:32.5264700Z - function_overloads: 2023-07-07T20:05:32.5264922Z - onnx_args: 2023-07-07T20:05:32.5265137Z - onnx_kwargs: 2023-07-07T20:05:32.5265719Z - diagnostic_context: 2023-07-07T20:05:32.5265996Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5266517Z [2023-07-07 20:03:25,307] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_433]. 2023-07-07T20:05:32.5266774Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5266788Z 2023-07-07T20:05:32.5267133Z [2023-07-07 20:03:25,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5267483Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5267494Z 2023-07-07T20:05:32.5267915Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5268452Z - self: 2023-07-07T20:05:32.5268824Z - node: fx.Node(unsqueeze_433[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5269033Z - aten_name: 2023-07-07T20:05:32.5269260Z - function_overloads: 2023-07-07T20:05:32.5269473Z - onnx_args: 2023-07-07T20:05:32.5269746Z - onnx_kwargs: 2023-07-07T20:05:32.5270281Z - diagnostic_context: 2023-07-07T20:05:32.5270631Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5271159Z [2023-07-07 20:03:25,308] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_434]. 2023-07-07T20:05:32.5271405Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5271417Z 2023-07-07T20:05:32.5271741Z [2023-07-07 20:03:25,308] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5272102Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5272112Z 2023-07-07T20:05:32.5272437Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5272932Z - self: 2023-07-07T20:05:32.5273300Z - node: fx.Node(unsqueeze_434[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5273484Z - aten_name: 2023-07-07T20:05:32.5273714Z - function_overloads: 2023-07-07T20:05:32.5273906Z - onnx_args: 2023-07-07T20:05:32.5274087Z - onnx_kwargs: 2023-07-07T20:05:32.5274719Z - diagnostic_context: 2023-07-07T20:05:32.5274982Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5275447Z [2023-07-07 20:03:25,309] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_435]. 2023-07-07T20:05:32.5275692Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5275704Z 2023-07-07T20:05:32.5276059Z [2023-07-07 20:03:25,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5276413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5276427Z 2023-07-07T20:05:32.5276759Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5277238Z - self: 2023-07-07T20:05:32.5277597Z - node: fx.Node(unsqueeze_435[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5277795Z - aten_name: 2023-07-07T20:05:32.5278035Z - function_overloads: 2023-07-07T20:05:32.5278227Z - onnx_args: 2023-07-07T20:05:32.5278430Z - onnx_kwargs: 2023-07-07T20:05:32.5278986Z - diagnostic_context: 2023-07-07T20:05:32.5279278Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5279797Z [2023-07-07 20:03:25,313] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_436]. 2023-07-07T20:05:32.5280031Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5280043Z 2023-07-07T20:05:32.5280391Z [2023-07-07 20:03:25,313] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5280738Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5280748Z 2023-07-07T20:05:32.5281059Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5281653Z - self: 2023-07-07T20:05:32.5282085Z - node: fx.Node(unsqueeze_436[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5282289Z - aten_name: 2023-07-07T20:05:32.5282529Z - function_overloads: 2023-07-07T20:05:32.5282720Z - onnx_args: 2023-07-07T20:05:32.5282933Z - onnx_kwargs: 2023-07-07T20:05:32.5283469Z - diagnostic_context: 2023-07-07T20:05:32.5283815Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5284365Z [2023-07-07 20:03:25,314] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_437]. 2023-07-07T20:05:32.5284760Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5284774Z 2023-07-07T20:05:32.5285128Z [2023-07-07 20:03:25,314] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5285503Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5285519Z 2023-07-07T20:05:32.5285853Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5286317Z - self: 2023-07-07T20:05:32.5286684Z - node: fx.Node(unsqueeze_437[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5286894Z - aten_name: 2023-07-07T20:05:32.5287126Z - function_overloads: 2023-07-07T20:05:32.5287338Z - onnx_args: 2023-07-07T20:05:32.5287547Z - onnx_kwargs: 2023-07-07T20:05:32.5288105Z - diagnostic_context: 2023-07-07T20:05:32.5288380Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5288887Z [2023-07-07 20:03:25,317] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_438]. 2023-07-07T20:05:32.5289146Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5289158Z 2023-07-07T20:05:32.5289514Z [2023-07-07 20:03:25,317] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5289883Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5289894Z 2023-07-07T20:05:32.5290238Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5290735Z - self: 2023-07-07T20:05:32.5291118Z - node: fx.Node(unsqueeze_438[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5291328Z - aten_name: 2023-07-07T20:05:32.5291551Z - function_overloads: 2023-07-07T20:05:32.5291762Z - onnx_args: 2023-07-07T20:05:32.5291985Z - onnx_kwargs: 2023-07-07T20:05:32.5292537Z - diagnostic_context: 2023-07-07T20:05:32.5292820Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5293335Z [2023-07-07 20:03:25,318] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_439]. 2023-07-07T20:05:32.5293579Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5293591Z 2023-07-07T20:05:32.5293960Z [2023-07-07 20:03:25,318] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5294307Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5294322Z 2023-07-07T20:05:32.5294645Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5295144Z - self: 2023-07-07T20:05:32.5295641Z - node: fx.Node(unsqueeze_439[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5295905Z - aten_name: 2023-07-07T20:05:32.5296134Z - function_overloads: 2023-07-07T20:05:32.5296339Z - onnx_args: 2023-07-07T20:05:32.5296539Z - onnx_kwargs: 2023-07-07T20:05:32.5297066Z - diagnostic_context: 2023-07-07T20:05:32.5297356Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5297870Z [2023-07-07 20:03:25,324] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_15]. 2023-07-07T20:05:32.5298155Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5298166Z 2023-07-07T20:05:32.5298510Z [2023-07-07 20:03:25,324] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5298876Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5298890Z 2023-07-07T20:05:32.5299211Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5299686Z - self: 2023-07-07T20:05:32.5299983Z - node: fx.Node(cat_15[call_function]'aten.cat.default') 2023-07-07T20:05:32.5300170Z - aten_name: 2023-07-07T20:05:32.5300404Z - function_overloads: 2023-07-07T20:05:32.5300605Z - onnx_args: 2023-07-07T20:05:32.5300818Z - onnx_kwargs: 2023-07-07T20:05:32.5301334Z - diagnostic_context: 2023-07-07T20:05:32.5301599Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.5302073Z [2023-07-07 20:03:25,327] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_15]. 2023-07-07T20:05:32.5302290Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5302305Z 2023-07-07T20:05:32.5302665Z [2023-07-07 20:03:25,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5303029Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5303041Z 2023-07-07T20:05:32.5303381Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5303888Z - self: 2023-07-07T20:05:32.5304242Z - node: fx.Node(transpose_15[call_function]'aten.transpose.int') 2023-07-07T20:05:32.5304459Z - aten_name: 2023-07-07T20:05:32.5304707Z - function_overloads: 2023-07-07T20:05:32.5304904Z - onnx_args: 2023-07-07T20:05:32.5305113Z - onnx_kwargs: 2023-07-07T20:05:32.5305683Z - diagnostic_context: 2023-07-07T20:05:32.5306075Z - Return value: 2023-07-07T20:05:32.5306548Z [2023-07-07 20:03:25,328] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_15]. 2023-07-07T20:05:32.5306785Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5306797Z 2023-07-07T20:05:32.5307161Z [2023-07-07 20:03:25,328] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5307529Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5307542Z 2023-07-07T20:05:32.5307850Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5308326Z - self: 2023-07-07T20:05:32.5308654Z - node: fx.Node(clone_15[call_function]'aten.clone.default') 2023-07-07T20:05:32.5308850Z - aten_name: 2023-07-07T20:05:32.5309166Z - function_overloads: 2023-07-07T20:05:32.5309370Z - onnx_args: 2023-07-07T20:05:32.5309616Z - onnx_kwargs: 2023-07-07T20:05:32.5310157Z - diagnostic_context: 2023-07-07T20:05:32.5310404Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.5310916Z [2023-07-07 20:03:25,332] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_55]. 2023-07-07T20:05:32.5311237Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5311248Z 2023-07-07T20:05:32.5311615Z [2023-07-07 20:03:25,332] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5312017Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5312028Z 2023-07-07T20:05:32.5312359Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5312850Z - self: 2023-07-07T20:05:32.5313248Z - node: fx.Node(convolution_55[call_function]'aten.convolution.default') 2023-07-07T20:05:32.5313453Z - aten_name: 2023-07-07T20:05:32.5313675Z - function_overloads: 2023-07-07T20:05:32.5313894Z - onnx_args: 2023-07-07T20:05:32.5314097Z - onnx_kwargs: 2023-07-07T20:05:32.5314739Z - diagnostic_context: 2023-07-07T20:05:32.5315129Z - Return value: 2023-07-07T20:05:32.5315715Z [2023-07-07 20:03:25,335] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_110]. 2023-07-07T20:05:32.5316006Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5316016Z 2023-07-07T20:05:32.5316381Z [2023-07-07 20:03:25,335] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5316713Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5316742Z 2023-07-07T20:05:32.5317049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5317537Z - self: 2023-07-07T20:05:32.5317992Z - node: fx.Node(convert_element_type_110[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5318204Z - aten_name: 2023-07-07T20:05:32.5318450Z - function_overloads: 2023-07-07T20:05:32.5318652Z - onnx_args: 2023-07-07T20:05:32.5318862Z - onnx_kwargs: 2023-07-07T20:05:32.5319401Z - diagnostic_context: 2023-07-07T20:05:32.5319743Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5320339Z [2023-07-07 20:03:25,336] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_111]. 2023-07-07T20:05:32.5320624Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5320636Z 2023-07-07T20:05:32.5320992Z [2023-07-07 20:03:25,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5321358Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5321374Z 2023-07-07T20:05:32.5321704Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5322208Z - self: 2023-07-07T20:05:32.5322661Z - node: fx.Node(convert_element_type_111[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5322934Z - aten_name: 2023-07-07T20:05:32.5323177Z - function_overloads: 2023-07-07T20:05:32.5323378Z - onnx_args: 2023-07-07T20:05:32.5323671Z - onnx_kwargs: 2023-07-07T20:05:32.5324236Z - diagnostic_context: 2023-07-07T20:05:32.5324711Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5325168Z [2023-07-07 20:03:25,341] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int_55]. 2023-07-07T20:05:32.5325518Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5325585Z 2023-07-07T20:05:32.5325934Z [2023-07-07 20:03:25,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5326300Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5326311Z 2023-07-07T20:05:32.5326636Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5327135Z - self: 2023-07-07T20:05:32.5327476Z - node: fx.Node(tensor_int_55[call_function]'aten.tensor.int') 2023-07-07T20:05:32.5327682Z - aten_name: 2023-07-07T20:05:32.5327911Z - function_overloads: 2023-07-07T20:05:32.5328110Z - onnx_args: 2023-07-07T20:05:32.5328303Z - onnx_kwargs: 2023-07-07T20:05:32.5328858Z - diagnostic_context: 2023-07-07T20:05:32.5329151Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:32.5329670Z [2023-07-07 20:03:25,345] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_440]. 2023-07-07T20:05:32.5329930Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5329941Z 2023-07-07T20:05:32.5330302Z [2023-07-07 20:03:25,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5330671Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5330682Z 2023-07-07T20:05:32.5330992Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5331500Z - self: 2023-07-07T20:05:32.5331853Z - node: fx.Node(unsqueeze_440[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5332061Z - aten_name: 2023-07-07T20:05:32.5332294Z - function_overloads: 2023-07-07T20:05:32.5332501Z - onnx_args: 2023-07-07T20:05:32.5332701Z - onnx_kwargs: 2023-07-07T20:05:32.5333241Z - diagnostic_context: 2023-07-07T20:05:32.5333531Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5334033Z [2023-07-07 20:03:25,347] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_441]. 2023-07-07T20:05:32.5334292Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5334303Z 2023-07-07T20:05:32.5334667Z [2023-07-07 20:03:25,347] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5335040Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5335054Z 2023-07-07T20:05:32.5335355Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5335822Z - self: 2023-07-07T20:05:32.5336184Z - node: fx.Node(unsqueeze_441[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5336379Z - aten_name: 2023-07-07T20:05:32.5336599Z - function_overloads: 2023-07-07T20:05:32.5336907Z - onnx_args: 2023-07-07T20:05:32.5337115Z - onnx_kwargs: 2023-07-07T20:05:32.5337705Z - diagnostic_context: 2023-07-07T20:05:32.5337986Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5338480Z [2023-07-07 20:03:25,348] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_442]. 2023-07-07T20:05:32.5338739Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5338802Z 2023-07-07T20:05:32.5339168Z [2023-07-07 20:03:25,348] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5339568Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5339579Z 2023-07-07T20:05:32.5339888Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5340378Z - self: 2023-07-07T20:05:32.5340754Z - node: fx.Node(unsqueeze_442[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5340963Z - aten_name: 2023-07-07T20:05:32.5341200Z - function_overloads: 2023-07-07T20:05:32.5341408Z - onnx_args: 2023-07-07T20:05:32.5341620Z - onnx_kwargs: 2023-07-07T20:05:32.5342156Z - diagnostic_context: 2023-07-07T20:05:32.5342424Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5342939Z [2023-07-07 20:03:25,349] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_443]. 2023-07-07T20:05:32.5343202Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5343213Z 2023-07-07T20:05:32.5343583Z [2023-07-07 20:03:25,349] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5343932Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5343940Z 2023-07-07T20:05:32.5344280Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5344769Z - self: 2023-07-07T20:05:32.5345134Z - node: fx.Node(unsqueeze_443[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5345346Z - aten_name: 2023-07-07T20:05:32.5345574Z - function_overloads: 2023-07-07T20:05:32.5345780Z - onnx_args: 2023-07-07T20:05:32.5345965Z - onnx_kwargs: 2023-07-07T20:05:32.5346540Z - diagnostic_context: 2023-07-07T20:05:32.5346832Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5347336Z [2023-07-07 20:03:25,353] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_444]. 2023-07-07T20:05:32.5347589Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5347601Z 2023-07-07T20:05:32.5347941Z [2023-07-07 20:03:25,353] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5348316Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5348327Z 2023-07-07T20:05:32.5348652Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5349150Z - self: 2023-07-07T20:05:32.5349541Z - node: fx.Node(unsqueeze_444[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5349745Z - aten_name: 2023-07-07T20:05:32.5349980Z - function_overloads: 2023-07-07T20:05:32.5350193Z - onnx_args: 2023-07-07T20:05:32.5350390Z - onnx_kwargs: 2023-07-07T20:05:32.5351082Z - diagnostic_context: 2023-07-07T20:05:32.5351426Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5351946Z [2023-07-07 20:03:25,354] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_445]. 2023-07-07T20:05:32.5352188Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5352199Z 2023-07-07T20:05:32.5352556Z [2023-07-07 20:03:25,354] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5352970Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5353025Z 2023-07-07T20:05:32.5353356Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5353807Z - self: 2023-07-07T20:05:32.5354141Z - node: fx.Node(unsqueeze_445[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5354342Z - aten_name: 2023-07-07T20:05:32.5354575Z - function_overloads: 2023-07-07T20:05:32.5354863Z - onnx_args: 2023-07-07T20:05:32.5355065Z - onnx_kwargs: 2023-07-07T20:05:32.5355635Z - diagnostic_context: 2023-07-07T20:05:32.5355923Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5356427Z [2023-07-07 20:03:25,357] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_446]. 2023-07-07T20:05:32.5356650Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5356663Z 2023-07-07T20:05:32.5357019Z [2023-07-07 20:03:25,357] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5357380Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5357392Z 2023-07-07T20:05:32.5357719Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5358196Z - self: 2023-07-07T20:05:32.5358573Z - node: fx.Node(unsqueeze_446[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5358773Z - aten_name: 2023-07-07T20:05:32.5359013Z - function_overloads: 2023-07-07T20:05:32.5359206Z - onnx_args: 2023-07-07T20:05:32.5359426Z - onnx_kwargs: 2023-07-07T20:05:32.5359972Z - diagnostic_context: 2023-07-07T20:05:32.5360249Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5360746Z [2023-07-07 20:03:25,358] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_447]. 2023-07-07T20:05:32.5361000Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5361017Z 2023-07-07T20:05:32.5361379Z [2023-07-07 20:03:25,358] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5361759Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5361770Z 2023-07-07T20:05:32.5362104Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5362581Z - self: 2023-07-07T20:05:32.5362958Z - node: fx.Node(unsqueeze_447[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5363169Z - aten_name: 2023-07-07T20:05:32.5363414Z - function_overloads: 2023-07-07T20:05:32.5363624Z - onnx_args: 2023-07-07T20:05:32.5363843Z - onnx_kwargs: 2023-07-07T20:05:32.5364390Z - diagnostic_context: 2023-07-07T20:05:32.5364923Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5365058Z XFAIL [120.3322s] [ 68%] 2023-07-07T20:05:32.5365602Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_sigmoid_add PASSED [0.2067s] [ 69%] 2023-07-07T20:05:32.5366079Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_simple_function PASSED [0.1318s] [ 70%] 2023-07-07T20:05:32.5367008Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_slice [2023-07-07 20:05:04,877] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.5367312Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5367323Z 2023-07-07T20:05:32.5367684Z [2023-07-07 20:05:04,878] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5368048Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5368058Z 2023-07-07T20:05:32.5368393Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5368883Z - self: 2023-07-07T20:05:32.5369188Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5369383Z - aten_name: 2023-07-07T20:05:32.5369628Z - function_overloads: 2023-07-07T20:05:32.5369834Z - onnx_args: 2023-07-07T20:05:32.5370043Z - onnx_kwargs: 2023-07-07T20:05:32.5370604Z - diagnostic_context: 2023-07-07T20:05:32.5370996Z - Return value: 2023-07-07T20:05:32.5371418Z [2023-07-07 20:05:04,881] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size]. 2023-07-07T20:05:32.5371660Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5371672Z 2023-07-07T20:05:32.5372027Z [2023-07-07 20:05:04,882] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5372387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5372398Z 2023-07-07T20:05:32.5372721Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5373222Z - self: 2023-07-07T20:05:32.5373543Z - node: fx.Node(sym_size[call_function]'aten.sym_size') 2023-07-07T20:05:32.5373744Z - aten_name: 2023-07-07T20:05:32.5373978Z - function_overloads: 2023-07-07T20:05:32.5374173Z - onnx_args: 2023-07-07T20:05:32.5374377Z - onnx_kwargs: 2023-07-07T20:05:32.5374939Z - diagnostic_context: 2023-07-07T20:05:32.5375220Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.5375688Z [2023-07-07 20:05:04,883] torch.onnx: [WARNING] FX Node: call_function:[name=sub]. 2023-07-07T20:05:32.5375931Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5375942Z 2023-07-07T20:05:32.5376307Z [2023-07-07 20:05:04,883] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5376673Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5376688Z 2023-07-07T20:05:32.5376998Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5377491Z - self: 2023-07-07T20:05:32.5377823Z - node: fx.Node(sub[call_function]'') 2023-07-07T20:05:32.5378120Z - aten_name: 2023-07-07T20:05:32.5378363Z - function_overloads: 2023-07-07T20:05:32.5378621Z - onnx_args: 2023-07-07T20:05:32.5378830Z - onnx_kwargs: 2023-07-07T20:05:32.5379380Z - diagnostic_context: 2023-07-07T20:05:32.5379626Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:32.5380083Z [2023-07-07 20:05:04,885] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.5380384Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5380395Z 2023-07-07T20:05:32.5380807Z [2023-07-07 20:05:04,885] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5381169Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5381180Z 2023-07-07T20:05:32.5381513Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5382013Z - self: 2023-07-07T20:05:32.5382342Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5382519Z - aten_name: 2023-07-07T20:05:32.5382753Z - function_overloads: 2023-07-07T20:05:32.5382939Z - onnx_args: 2023-07-07T20:05:32.5383148Z - onnx_kwargs: 2023-07-07T20:05:32.5383624Z - diagnostic_context: 2023-07-07T20:05:32.5384010Z - Return value: 2023-07-07T20:05:32.5384456Z [2023-07-07 20:05:04,889] torch.onnx: [WARNING] FX Node: call_function:aten.sym_size[name=sym_size_1]. 2023-07-07T20:05:32.5384708Z ONNX Node: aten_sym_size[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5384719Z 2023-07-07T20:05:32.5385076Z [2023-07-07 20:05:04,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5385439Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5385451Z 2023-07-07T20:05:32.5385780Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5386277Z - self: 2023-07-07T20:05:32.5386594Z - node: fx.Node(sym_size_1[call_function]'aten.sym_size') 2023-07-07T20:05:32.5386808Z - aten_name: 2023-07-07T20:05:32.5387052Z - function_overloads: 2023-07-07T20:05:32.5387265Z - onnx_args: 2023-07-07T20:05:32.5387453Z - onnx_kwargs: 2023-07-07T20:05:32.5387968Z - diagnostic_context: 2023-07-07T20:05:32.5388232Z - Return value: `OnnxFunction(aten_sym_size)` 2023-07-07T20:05:32.5388667Z [2023-07-07 20:05:04,891] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.5388889Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5388900Z 2023-07-07T20:05:32.5389246Z [2023-07-07 20:05:04,891] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5389609Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5389620Z 2023-07-07T20:05:32.5389953Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5390464Z - self: 2023-07-07T20:05:32.5390794Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5391004Z - aten_name: 2023-07-07T20:05:32.5391226Z - function_overloads: 2023-07-07T20:05:32.5391424Z - onnx_args: 2023-07-07T20:05:32.5391720Z - onnx_kwargs: 2023-07-07T20:05:32.5392304Z - diagnostic_context: 2023-07-07T20:05:32.5392694Z - Return value: 2023-07-07T20:05:32.5393116Z [2023-07-07 20:05:04,895] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.5393352Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5393420Z 2023-07-07T20:05:32.5393771Z [2023-07-07 20:05:04,895] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5394122Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5394184Z 2023-07-07T20:05:32.5394518Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5395103Z - self: 2023-07-07T20:05:32.5395432Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5395623Z - aten_name: 2023-07-07T20:05:32.5395854Z - function_overloads: 2023-07-07T20:05:32.5396038Z - onnx_args: 2023-07-07T20:05:32.5396226Z - onnx_kwargs: 2023-07-07T20:05:32.5396724Z - diagnostic_context: 2023-07-07T20:05:32.5397103Z - Return value: 2023-07-07T20:05:32.5397563Z [2023-07-07 20:05:04,899] torch.onnx: [WARNING] FX Node: call_function:[name=sub_1]. 2023-07-07T20:05:32.5397814Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5397825Z 2023-07-07T20:05:32.5398180Z [2023-07-07 20:05:04,899] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5398558Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5398569Z 2023-07-07T20:05:32.5398882Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5399382Z - self: 2023-07-07T20:05:32.5399729Z - node: fx.Node(sub_1[call_function]'') 2023-07-07T20:05:32.5399938Z - aten_name: 2023-07-07T20:05:32.5400182Z - function_overloads: 2023-07-07T20:05:32.5400398Z - onnx_args: 2023-07-07T20:05:32.5400601Z - onnx_kwargs: 2023-07-07T20:05:32.5401125Z - diagnostic_context: 2023-07-07T20:05:32.5401372Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:32.5401820Z [2023-07-07 20:05:04,901] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.5402047Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5402059Z 2023-07-07T20:05:32.5402408Z [2023-07-07 20:05:04,901] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5402758Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5402769Z 2023-07-07T20:05:32.5403092Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5403550Z - self: 2023-07-07T20:05:32.5403869Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5404052Z - aten_name: 2023-07-07T20:05:32.5404286Z - function_overloads: 2023-07-07T20:05:32.5404707Z - onnx_args: 2023-07-07T20:05:32.5404922Z - onnx_kwargs: 2023-07-07T20:05:32.5405473Z - diagnostic_context: 2023-07-07T20:05:32.5405988Z - Return value: 2023-07-07T20:05:32.5406528Z [2023-07-07 20:05:04,905] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:32.5406782Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5406794Z 2023-07-07T20:05:32.5407137Z [2023-07-07 20:05:04,905] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5407522Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5407591Z 2023-07-07T20:05:32.5407930Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5408496Z - self: 2023-07-07T20:05:32.5408832Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5409040Z - aten_name: 2023-07-07T20:05:32.5409288Z - function_overloads: 2023-07-07T20:05:32.5409504Z - onnx_args: 2023-07-07T20:05:32.5409710Z - onnx_kwargs: 2023-07-07T20:05:32.5410276Z - diagnostic_context: 2023-07-07T20:05:32.5410659Z - Return value: 2023-07-07T20:05:32.5411099Z [2023-07-07 20:05:04,909] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:32.5411321Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5411332Z 2023-07-07T20:05:32.5411682Z [2023-07-07 20:05:04,909] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5412042Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5412053Z 2023-07-07T20:05:32.5412383Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5412858Z - self: 2023-07-07T20:05:32.5413173Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5413372Z - aten_name: 2023-07-07T20:05:32.5413606Z - function_overloads: 2023-07-07T20:05:32.5413811Z - onnx_args: 2023-07-07T20:05:32.5414023Z - onnx_kwargs: 2023-07-07T20:05:32.5414587Z - diagnostic_context: 2023-07-07T20:05:32.5414955Z - Return value: 2023-07-07T20:05:32.5415407Z [2023-07-07 20:05:04,913] torch.onnx: [WARNING] FX Node: call_function:[name=sub_2]. 2023-07-07T20:05:32.5415652Z ONNX Node: aten_sub[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5415663Z 2023-07-07T20:05:32.5416026Z [2023-07-07 20:05:04,913] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5416404Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5416415Z 2023-07-07T20:05:32.5416743Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5417228Z - self: 2023-07-07T20:05:32.5417572Z - node: fx.Node(sub_2[call_function]'') 2023-07-07T20:05:32.5417786Z - aten_name: 2023-07-07T20:05:32.5418029Z - function_overloads: 2023-07-07T20:05:32.5418213Z - onnx_args: 2023-07-07T20:05:32.5418406Z - onnx_kwargs: 2023-07-07T20:05:32.5418929Z - diagnostic_context: 2023-07-07T20:05:32.5419179Z - Return value: `OnnxFunction(aten_sub)` 2023-07-07T20:05:32.5419705Z [2023-07-07 20:05:04,916] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:32.5420017Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5420030Z 2023-07-07T20:05:32.5420397Z [2023-07-07 20:05:04,916] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5420754Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5420765Z 2023-07-07T20:05:32.5421053Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5421573Z - self: 2023-07-07T20:05:32.5421927Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5422132Z - aten_name: 2023-07-07T20:05:32.5422370Z - function_overloads: 2023-07-07T20:05:32.5422579Z - onnx_args: 2023-07-07T20:05:32.5422795Z - onnx_kwargs: 2023-07-07T20:05:32.5423336Z - diagnostic_context: 2023-07-07T20:05:32.5423681Z - Return value: 2023-07-07T20:05:32.5424104Z [2023-07-07 20:05:04,920] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:32.5424327Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5424338Z 2023-07-07T20:05:32.5424691Z [2023-07-07 20:05:04,920] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5425040Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5425054Z 2023-07-07T20:05:32.5425372Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5425843Z - self: 2023-07-07T20:05:32.5426165Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5426340Z - aten_name: 2023-07-07T20:05:32.5426544Z - function_overloads: 2023-07-07T20:05:32.5426729Z - onnx_args: 2023-07-07T20:05:32.5426942Z - onnx_kwargs: 2023-07-07T20:05:32.5427466Z - diagnostic_context: 2023-07-07T20:05:32.5427824Z - Return value: 2023-07-07T20:05:32.5428306Z [2023-07-07 20:05:04,924] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:32.5428540Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5428552Z 2023-07-07T20:05:32.5428883Z [2023-07-07 20:05:04,924] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5429227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5429244Z 2023-07-07T20:05:32.5429575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5430061Z - self: 2023-07-07T20:05:32.5430388Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5430591Z - aten_name: 2023-07-07T20:05:32.5430829Z - function_overloads: 2023-07-07T20:05:32.5431043Z - onnx_args: 2023-07-07T20:05:32.5431235Z - onnx_kwargs: 2023-07-07T20:05:32.5431794Z - diagnostic_context: 2023-07-07T20:05:32.5432172Z - Return value: 2023-07-07T20:05:32.5432301Z PASSED [0.6640s] [ 71%] 2023-07-07T20:05:32.5432843Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_squeeze_runtime_dim XFAIL [0.0185s] [ 72%] 2023-07-07T20:05:32.5433854Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_transpose_infer_shape [2023-07-07 20:05:05,416] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.5434120Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5434132Z 2023-07-07T20:05:32.5434493Z [2023-07-07 20:05:05,416] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5434979Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5435042Z 2023-07-07T20:05:32.5435337Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5435792Z - self: 2023-07-07T20:05:32.5436163Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.5436363Z - aten_name: 2023-07-07T20:05:32.5436612Z - function_overloads: 2023-07-07T20:05:32.5436825Z - onnx_args: 2023-07-07T20:05:32.5437021Z - onnx_kwargs: 2023-07-07T20:05:32.5437563Z - diagnostic_context: 2023-07-07T20:05:32.5437924Z - Return value: 2023-07-07T20:05:32.5438398Z [2023-07-07 20:05:05,417] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.5438660Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5438675Z 2023-07-07T20:05:32.5439017Z [2023-07-07 20:05:05,418] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5439350Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5439361Z 2023-07-07T20:05:32.5439668Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5440155Z - self: 2023-07-07T20:05:32.5440504Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.5440708Z - aten_name: 2023-07-07T20:05:32.5440932Z - function_overloads: 2023-07-07T20:05:32.5441129Z - onnx_args: 2023-07-07T20:05:32.5441327Z - onnx_kwargs: 2023-07-07T20:05:32.5441861Z - diagnostic_context: 2023-07-07T20:05:32.5442233Z - Return value: 2023-07-07T20:05:32.5442367Z PASSED [0.4246s] [ 73%] 2023-07-07T20:05:32.5442798Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_view_dynamic_zero_dim PASSED [0.0838s] [ 74%] 2023-07-07T20:05:32.5443240Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_True::test_xfail_func_with_non_tensor_args XFAIL [0.1045s] [ 75%] 2023-07-07T20:05:32.5443607Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_add PASSED [0.0516s] [ 75%] 2023-07-07T20:05:32.5444575Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_arange [2023-07-07 20:05:05,742] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange]. 2023-07-07T20:05:32.5444815Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5444826Z 2023-07-07T20:05:32.5445180Z [2023-07-07 20:05:05,742] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5445531Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5445671Z 2023-07-07T20:05:32.5446047Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5446545Z - self: 2023-07-07T20:05:32.5446882Z - node: fx.Node(arange[call_function]'aten.arange.default') 2023-07-07T20:05:32.5447081Z - aten_name: 2023-07-07T20:05:32.5447294Z - function_overloads: 2023-07-07T20:05:32.5447560Z - onnx_args: 2023-07-07T20:05:32.5447766Z - onnx_kwargs: 2023-07-07T20:05:32.5448338Z - diagnostic_context: 2023-07-07T20:05:32.5448848Z - Return value: 2023-07-07T20:05:32.5449320Z [2023-07-07 20:05:05,743] torch.onnx: [WARNING] FX Node: call_function:aten.arange.default[name=arange_1]. 2023-07-07T20:05:32.5449574Z ONNX Node: aten_arange[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5449586Z 2023-07-07T20:05:32.5449899Z [2023-07-07 20:05:05,743] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5450206Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5450230Z 2023-07-07T20:05:32.5450500Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5450939Z - self: 2023-07-07T20:05:32.5451254Z - node: fx.Node(arange_1[call_function]'aten.arange.default') 2023-07-07T20:05:32.5451447Z - aten_name: 2023-07-07T20:05:32.5451684Z - function_overloads: 2023-07-07T20:05:32.5451894Z - onnx_args: 2023-07-07T20:05:32.5452096Z - onnx_kwargs: 2023-07-07T20:05:32.5452627Z - diagnostic_context: 2023-07-07T20:05:32.5453014Z - Return value: 2023-07-07T20:05:32.5453478Z [2023-07-07 20:05:05,745] torch.onnx: [WARNING] FX Node: call_function:aten.arange.start[name=arange_2]. 2023-07-07T20:05:32.5453750Z ONNX Node: aten_arange_start[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5453762Z 2023-07-07T20:05:32.5454123Z [2023-07-07 20:05:05,745] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5454489Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5454505Z 2023-07-07T20:05:32.5454843Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5455343Z - self: 2023-07-07T20:05:32.5455680Z - node: fx.Node(arange_2[call_function]'aten.arange.start') 2023-07-07T20:05:32.5455879Z - aten_name: 2023-07-07T20:05:32.5456122Z - function_overloads: 2023-07-07T20:05:32.5456329Z - onnx_args: 2023-07-07T20:05:32.5456540Z - onnx_kwargs: 2023-07-07T20:05:32.5457103Z - diagnostic_context: 2023-07-07T20:05:32.5457477Z - Return value: 2023-07-07T20:05:32.5458075Z 2023-07-07 20:05:05.748975299 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5458677Z 2023-07-07 20:05:05.749000446 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5459301Z 2023-07-07 20:05:05.749010713 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5460042Z 2023-07-07 20:05:05.749020497 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5460703Z 2023-07-07 20:05:05.749029719 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5461353Z 2023-07-07 20:05:05.749189678 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5462034Z 2023-07-07 20:05:05.749200476 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5462706Z 2023-07-07 20:05:05.749209892 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5463267Z 2023-07-07 20:05:05.749219406 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5463850Z 2023-07-07 20:05:05.749228686 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5464466Z 2023-07-07 20:05:05.749370535 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5465122Z 2023-07-07 20:05:05.749381225 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5465774Z 2023-07-07 20:05:05.749390590 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5466372Z 2023-07-07 20:05:05.749400050 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5466995Z 2023-07-07 20:05:05.749414083 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5467614Z 2023-07-07 20:05:05.749552089 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5468244Z 2023-07-07 20:05:05.749562525 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5468878Z 2023-07-07 20:05:05.749571795 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5469533Z 2023-07-07 20:05:05.749581170 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5470160Z 2023-07-07 20:05:05.749590415 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5470776Z 2023-07-07 20:05:05.749726320 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5471384Z 2023-07-07 20:05:05.749736562 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5471975Z 2023-07-07 20:05:05.749745738 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5472623Z 2023-07-07 20:05:05.749755085 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5473396Z 2023-07-07 20:05:05.749764266 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5474019Z 2023-07-07 20:05:05.749901131 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5474738Z 2023-07-07 20:05:05.749911474 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5475452Z 2023-07-07 20:05:05.749920754 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5476099Z 2023-07-07 20:05:05.749930197 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5476723Z 2023-07-07 20:05:05.749939337 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5477353Z 2023-07-07 20:05:05.750073484 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5477990Z 2023-07-07 20:05:05.750083731 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5478632Z 2023-07-07 20:05:05.750092997 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5479274Z 2023-07-07 20:05:05.750102399 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5479905Z 2023-07-07 20:05:05.750111725 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5480546Z 2023-07-07 20:05:05.750249612 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5481167Z 2023-07-07 20:05:05.750260125 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5481817Z 2023-07-07 20:05:05.750269472 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5482434Z 2023-07-07 20:05:05.750278997 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5483075Z 2023-07-07 20:05:05.750290782 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5483678Z 2023-07-07 20:05:05.750425045 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5484291Z 2023-07-07 20:05:05.750435393 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5485098Z 2023-07-07 20:05:05.750444641 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5485729Z 2023-07-07 20:05:05.750454004 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5486462Z 2023-07-07 20:05:05.750463251 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5487163Z 2023-07-07 20:05:05.750598771 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_18' 2023-07-07T20:05:32.5487789Z 2023-07-07 20:05:05.750609139 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_13' 2023-07-07T20:05:32.5488432Z 2023-07-07 20:05:05.750618420 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_10' 2023-07-07T20:05:32.5489143Z 2023-07-07 20:05:05.750627840 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_5' 2023-07-07T20:05:32.5489798Z 2023-07-07 20:05:05.750637060 [W:onnxruntime:, constant_folding.cc:212 ApplyImpl] Could not find a CPU kernel and hence can't constant fold CastLike node 'CastLike_2' 2023-07-07T20:05:32.5489946Z PASSED [0.0686s] [ 76%] 2023-07-07T20:05:32.5490854Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_expand_as_fill_seperate_tensor [2023-07-07 20:05:05,790] torch.onnx: [ERROR] Running Functionalize pass. Raised from: 2023-07-07T20:05:32.5491437Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:32.5491839Z [2023-07-07 20:05:05,790] torch.onnx: [ERROR] ### Function Signature Transform.run 2023-07-07T20:05:32.5492354Z - self: 2023-07-07T20:05:32.5492553Z - args: 2023-07-07T20:05:32.5492683Z ### Exception log 2023-07-07T20:05:32.5492789Z ``` 2023-07-07T20:05:32.5492952Z Traceback (most recent call last): 2023-07-07T20:05:32.5492964Z 2023-07-07T20:05:32.5493527Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py", line 127, in wrapper 2023-07-07T20:05:32.5493665Z return_values = fn(*args, **kwargs) 2023-07-07T20:05:32.5493689Z 2023-07-07T20:05:32.5494158Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py", line 192, in run 2023-07-07T20:05:32.5494321Z module = self._run(*args, **kwargs) 2023-07-07T20:05:32.5494331Z 2023-07-07T20:05:32.5494758Z File "<@beartype(torch.onnx._internal.fx.passes.functionalization.Functionalize._run) at 0x7f6710265670>", line 10, in _run 2023-07-07T20:05:32.5494767Z 2023-07-07T20:05:32.5495348Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 105, in _run 2023-07-07T20:05:32.5495528Z graph_module = proxy_tensor.make_fx( 2023-07-07T20:05:32.5495541Z 2023-07-07T20:05:32.5496074Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 809, in wrapped 2023-07-07T20:05:32.5496427Z t = dispatch_trace(wrap_key(func, args, fx_tracer, pre_dispatch), tracer=fx_tracer, concrete_args=tuple(phs)) 2023-07-07T20:05:32.5496439Z 2023-07-07T20:05:32.5496901Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_compile.py", line 24, in inner 2023-07-07T20:05:32.5497140Z return torch._dynamo.disable(fn, recursive)(*args, **kwargs) 2023-07-07T20:05:32.5497151Z 2023-07-07T20:05:32.5497612Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:32.5497750Z return fn(*args, **kwargs) 2023-07-07T20:05:32.5497763Z 2023-07-07T20:05:32.5498247Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:32.5498389Z return fn(*args, **kwargs) 2023-07-07T20:05:32.5498399Z 2023-07-07T20:05:32.5499027Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 468, in dispatch_trace 2023-07-07T20:05:32.5499225Z graph = tracer.trace(root, concrete_args) 2023-07-07T20:05:32.5499276Z 2023-07-07T20:05:32.5499767Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 294, in _fn 2023-07-07T20:05:32.5499917Z return fn(*args, **kwargs) 2023-07-07T20:05:32.5499928Z 2023-07-07T20:05:32.5500434Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/external_utils.py", line 17, in inner 2023-07-07T20:05:32.5500634Z return fn(*args, **kwargs) 2023-07-07T20:05:32.5500648Z 2023-07-07T20:05:32.5501138Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/_symbolic_trace.py", line 817, in trace 2023-07-07T20:05:32.5501326Z (self.create_arg(fn(*args)),), 2023-07-07T20:05:32.5501336Z 2023-07-07T20:05:32.5501868Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/fx/experimental/proxy_tensor.py", line 485, in wrapped 2023-07-07T20:05:32.5502011Z out = f(*tensors) 2023-07-07T20:05:32.5502021Z 2023-07-07T20:05:32.5502189Z File "", line 1, in 2023-07-07T20:05:32.5502201Z 2023-07-07T20:05:32.5502737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/functionalization.py", line 91, in wrapped 2023-07-07T20:05:32.5502911Z pytree.tree_map(torch._sync, out) 2023-07-07T20:05:32.5502920Z 2023-07-07T20:05:32.5503388Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in tree_map 2023-07-07T20:05:32.5503610Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:32.5503620Z 2023-07-07T20:05:32.5504090Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/_pytree.py", line 323, in 2023-07-07T20:05:32.5504287Z return tree_unflatten([fn(i) for i in flat_args], spec) 2023-07-07T20:05:32.5504313Z 2023-07-07T20:05:32.5504866Z RuntimeError: at::functionalization::impl::isFunctionalTensor(self_) INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/autograd/python_torch_functions_manual.cpp":509, please report a bug to PyTorch. 2023-07-07T20:05:32.5504898Z 2023-07-07T20:05:32.5504982Z ``` 2023-07-07T20:05:32.5505108Z XFAIL [0.0451s] [ 77%] 2023-07-07T20:05:32.5506063Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_expand_as_fill_tensor [2023-07-07 20:05:05,870] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.5506314Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5506325Z 2023-07-07T20:05:32.5506698Z [2023-07-07 20:05:05,870] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5507075Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5507086Z 2023-07-07T20:05:32.5507422Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5507918Z - self: 2023-07-07T20:05:32.5508249Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5508460Z - aten_name: 2023-07-07T20:05:32.5508704Z - function_overloads: 2023-07-07T20:05:32.5508917Z - onnx_args: 2023-07-07T20:05:32.5509136Z - onnx_kwargs: 2023-07-07T20:05:32.5509695Z - diagnostic_context: 2023-07-07T20:05:32.5510068Z - Return value: 2023-07-07T20:05:32.5510537Z [2023-07-07 20:05:05,874] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.5510743Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5510755Z 2023-07-07T20:05:32.5511223Z [2023-07-07 20:05:05,874] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5511656Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5511670Z 2023-07-07T20:05:32.5512015Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5512509Z - self: 2023-07-07T20:05:32.5512845Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5513112Z - aten_name: 2023-07-07T20:05:32.5513338Z - function_overloads: 2023-07-07T20:05:32.5513575Z - onnx_args: 2023-07-07T20:05:32.5513778Z - onnx_kwargs: 2023-07-07T20:05:32.5514296Z - diagnostic_context: 2023-07-07T20:05:32.5514771Z - Return value: 2023-07-07T20:05:32.5515237Z [2023-07-07 20:05:05,881] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.5515476Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5515488Z 2023-07-07T20:05:32.5515829Z [2023-07-07 20:05:05,881] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5516179Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5516190Z 2023-07-07T20:05:32.5516510Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5516977Z - self: 2023-07-07T20:05:32.5517317Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5517528Z - aten_name: 2023-07-07T20:05:32.5517762Z - function_overloads: 2023-07-07T20:05:32.5517969Z - onnx_args: 2023-07-07T20:05:32.5518173Z - onnx_kwargs: 2023-07-07T20:05:32.5518727Z - diagnostic_context: 2023-07-07T20:05:32.5519095Z - Return value: 2023-07-07T20:05:32.5519615Z [2023-07-07 20:05:05,884] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:32.5519867Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5519881Z 2023-07-07T20:05:32.5520228Z [2023-07-07 20:05:05,884] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5520595Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5520611Z 2023-07-07T20:05:32.5520943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5521398Z - self: 2023-07-07T20:05:32.5521758Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.5521962Z - aten_name: 2023-07-07T20:05:32.5522158Z - function_overloads: 2023-07-07T20:05:32.5522380Z - onnx_args: 2023-07-07T20:05:32.5522618Z - onnx_kwargs: 2023-07-07T20:05:32.5523170Z - diagnostic_context: 2023-07-07T20:05:32.5523563Z - Return value: 2023-07-07T20:05:32.5524054Z [2023-07-07 20:05:05,885] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter_1]. 2023-07-07T20:05:32.5524316Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5524327Z 2023-07-07T20:05:32.5524907Z [2023-07-07 20:05:05,885] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5525372Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5525404Z 2023-07-07T20:05:32.5525785Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5526285Z - self: 2023-07-07T20:05:32.5526658Z - node: fx.Node(slice_scatter_1[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.5526862Z - aten_name: 2023-07-07T20:05:32.5527170Z - function_overloads: 2023-07-07T20:05:32.5527374Z - onnx_args: 2023-07-07T20:05:32.5527642Z - onnx_kwargs: 2023-07-07T20:05:32.5528179Z - diagnostic_context: 2023-07-07T20:05:32.5528570Z - Return value: 2023-07-07T20:05:32.5529045Z [2023-07-07 20:05:05,887] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.5529292Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5529304Z 2023-07-07T20:05:32.5529668Z [2023-07-07 20:05:05,887] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5530039Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5530050Z 2023-07-07T20:05:32.5530366Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5530879Z - self: 2023-07-07T20:05:32.5531207Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5531392Z - aten_name: 2023-07-07T20:05:32.5531630Z - function_overloads: 2023-07-07T20:05:32.5531841Z - onnx_args: 2023-07-07T20:05:32.5532059Z - onnx_kwargs: 2023-07-07T20:05:32.5532627Z - diagnostic_context: 2023-07-07T20:05:32.5532998Z - Return value: 2023-07-07T20:05:32.5533426Z [2023-07-07 20:05:05,889] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.5533651Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5533679Z 2023-07-07T20:05:32.5534018Z [2023-07-07 20:05:05,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5534373Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5534390Z 2023-07-07T20:05:32.5534700Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5535179Z - self: 2023-07-07T20:05:32.5535515Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5535720Z - aten_name: 2023-07-07T20:05:32.5535957Z - function_overloads: 2023-07-07T20:05:32.5536162Z - onnx_args: 2023-07-07T20:05:32.5536355Z - onnx_kwargs: 2023-07-07T20:05:32.5536892Z - diagnostic_context: 2023-07-07T20:05:32.5537272Z - Return value: 2023-07-07T20:05:32.5537408Z XFAIL [0.0989s] [ 78%] 2023-07-07T20:05:32.5538341Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_expand_as_fill_zero [2023-07-07 20:05:05,969] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.5538579Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5538590Z 2023-07-07T20:05:32.5538949Z [2023-07-07 20:05:05,969] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5539415Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5539472Z 2023-07-07T20:05:32.5539807Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5540273Z - self: 2023-07-07T20:05:32.5540603Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5540870Z - aten_name: 2023-07-07T20:05:32.5541104Z - function_overloads: 2023-07-07T20:05:32.5541304Z - onnx_args: 2023-07-07T20:05:32.5541562Z - onnx_kwargs: 2023-07-07T20:05:32.5542090Z - diagnostic_context: 2023-07-07T20:05:32.5542435Z - Return value: 2023-07-07T20:05:32.5542897Z [2023-07-07 20:05:05,972] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.5543147Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5543159Z 2023-07-07T20:05:32.5543523Z [2023-07-07 20:05:05,972] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5543879Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5543890Z 2023-07-07T20:05:32.5544183Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5544651Z - self: 2023-07-07T20:05:32.5544973Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5545169Z - aten_name: 2023-07-07T20:05:32.5545386Z - function_overloads: 2023-07-07T20:05:32.5545586Z - onnx_args: 2023-07-07T20:05:32.5545787Z - onnx_kwargs: 2023-07-07T20:05:32.5546339Z - diagnostic_context: 2023-07-07T20:05:32.5546731Z - Return value: 2023-07-07T20:05:32.5547175Z [2023-07-07 20:05:05,977] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.5547407Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5547420Z 2023-07-07T20:05:32.5547786Z [2023-07-07 20:05:05,977] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5548137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5548152Z 2023-07-07T20:05:32.5548483Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5548979Z - self: 2023-07-07T20:05:32.5549315Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5549527Z - aten_name: 2023-07-07T20:05:32.5549764Z - function_overloads: 2023-07-07T20:05:32.5549968Z - onnx_args: 2023-07-07T20:05:32.5550180Z - onnx_kwargs: 2023-07-07T20:05:32.5550718Z - diagnostic_context: 2023-07-07T20:05:32.5551091Z - Return value: 2023-07-07T20:05:32.5551599Z [2023-07-07 20:05:05,980] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter]. 2023-07-07T20:05:32.5551872Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5551883Z 2023-07-07T20:05:32.5552238Z [2023-07-07 20:05:05,980] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5552673Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5552685Z 2023-07-07T20:05:32.5553052Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5553546Z - self: 2023-07-07T20:05:32.5563061Z - node: fx.Node(slice_scatter[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.5563326Z - aten_name: 2023-07-07T20:05:32.5563526Z - function_overloads: 2023-07-07T20:05:32.5563867Z - onnx_args: 2023-07-07T20:05:32.5564046Z - onnx_kwargs: 2023-07-07T20:05:32.5564664Z - diagnostic_context: 2023-07-07T20:05:32.5565089Z - Return value: 2023-07-07T20:05:32.5565548Z [2023-07-07 20:05:05,982] torch.onnx: [WARNING] FX Node: call_function:aten.slice_scatter.default[name=slice_scatter_1]. 2023-07-07T20:05:32.5565788Z ONNX Node: aten_slice_scatter[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5565800Z 2023-07-07T20:05:32.5566141Z [2023-07-07 20:05:05,982] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5566491Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5566502Z 2023-07-07T20:05:32.5566826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5567294Z - self: 2023-07-07T20:05:32.5567662Z - node: fx.Node(slice_scatter_1[call_function]'aten.slice_scatter.default') 2023-07-07T20:05:32.5567853Z - aten_name: 2023-07-07T20:05:32.5568061Z - function_overloads: 2023-07-07T20:05:32.5568250Z - onnx_args: 2023-07-07T20:05:32.5568441Z - onnx_kwargs: 2023-07-07T20:05:32.5568960Z - diagnostic_context: 2023-07-07T20:05:32.5569327Z - Return value: 2023-07-07T20:05:32.5569787Z [2023-07-07 20:05:05,983] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.5570036Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5570049Z 2023-07-07T20:05:32.5570407Z [2023-07-07 20:05:05,983] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5570759Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5570775Z 2023-07-07T20:05:32.5571122Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5571624Z - self: 2023-07-07T20:05:32.5571946Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5572142Z - aten_name: 2023-07-07T20:05:32.5572361Z - function_overloads: 2023-07-07T20:05:32.5572568Z - onnx_args: 2023-07-07T20:05:32.5572764Z - onnx_kwargs: 2023-07-07T20:05:32.5573253Z - diagnostic_context: 2023-07-07T20:05:32.5573607Z - Return value: 2023-07-07T20:05:32.5574064Z [2023-07-07 20:05:05,986] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.5574315Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5574331Z 2023-07-07T20:05:32.5574681Z [2023-07-07 20:05:05,986] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5575037Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5575048Z 2023-07-07T20:05:32.5575505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5576073Z - self: 2023-07-07T20:05:32.5576396Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5576572Z - aten_name: 2023-07-07T20:05:32.5576804Z - function_overloads: 2023-07-07T20:05:32.5577009Z - onnx_args: 2023-07-07T20:05:32.5577269Z - onnx_kwargs: 2023-07-07T20:05:32.5577828Z - diagnostic_context: 2023-07-07T20:05:32.5578259Z - Return value: 2023-07-07T20:05:32.5579143Z 2023-07-07 20:05:06.014293905 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running ScatterElements node. Name:'_0x2d717fa0_n17' Status Message: Indices vs updates dimensions differs at position=1 0 vs 3 2023-07-07T20:05:32.5579279Z XFAIL [0.1112s] [ 79%] 2023-07-07T20:05:32.5579755Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_flatten_dynamic_axes PASSED [0.0465s] [ 80%] 2023-07-07T20:05:32.5580250Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_func_with_args_and_tensor_kwargs XFAIL [0.0252s] [ 81%] 2023-07-07T20:05:32.5581207Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_func_with_nested_input_structure [2023-07-07 20:05:06,223] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_1]. 2023-07-07T20:05:32.5581472Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5581484Z 2023-07-07T20:05:32.5581832Z [2023-07-07 20:05:06,223] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5582190Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5582202Z 2023-07-07T20:05:32.5582525Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5583013Z - self: 2023-07-07T20:05:32.5583331Z - node: fx.Node(sum_1[call_function]'aten.sum.default') 2023-07-07T20:05:32.5583541Z - aten_name: 2023-07-07T20:05:32.5583752Z - function_overloads: 2023-07-07T20:05:32.5583945Z - onnx_args: 2023-07-07T20:05:32.5584146Z - onnx_kwargs: 2023-07-07T20:05:32.5584709Z - diagnostic_context: 2023-07-07T20:05:32.5585093Z - Return value: 2023-07-07T20:05:32.5585535Z [2023-07-07 20:05:06,227] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_2]. 2023-07-07T20:05:32.5585799Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5585811Z 2023-07-07T20:05:32.5586155Z [2023-07-07 20:05:06,227] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5586515Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5586526Z 2023-07-07T20:05:32.5586851Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5587350Z - self: 2023-07-07T20:05:32.5587664Z - node: fx.Node(sum_2[call_function]'aten.sum.default') 2023-07-07T20:05:32.5587865Z - aten_name: 2023-07-07T20:05:32.5588094Z - function_overloads: 2023-07-07T20:05:32.5588294Z - onnx_args: 2023-07-07T20:05:32.5588486Z - onnx_kwargs: 2023-07-07T20:05:32.5589128Z - diagnostic_context: 2023-07-07T20:05:32.5589559Z - Return value: 2023-07-07T20:05:32.5589696Z PASSED [0.1613s] [ 82%] 2023-07-07T20:05:32.5590203Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_func_with_nested_output_structure PASSED [0.0688s] [ 83%] 2023-07-07T20:05:32.5591208Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_gpt2_tiny Some weights of the model checkpoint at sshleifer/tiny-gpt2 were not used when initializing GPT2Model: ['lm_head.weight'] 2023-07-07T20:05:32.5592208Z - This IS expected if you are initializing GPT2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2023-07-07T20:05:32.5593123Z - This IS NOT expected if you are initializing GPT2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2023-07-07T20:05:32.5593631Z [2023-07-07 20:05:08,245] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:32.5593880Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5593893Z 2023-07-07T20:05:32.5594236Z [2023-07-07 20:05:08,245] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5594597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5594705Z 2023-07-07T20:05:32.5595036Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5595551Z - self: 2023-07-07T20:05:32.5595903Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5596104Z - aten_name: 2023-07-07T20:05:32.5596332Z - function_overloads: 2023-07-07T20:05:32.5596539Z - onnx_args: 2023-07-07T20:05:32.5596747Z - onnx_kwargs: 2023-07-07T20:05:32.5597271Z - diagnostic_context: 2023-07-07T20:05:32.5597548Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5598005Z [2023-07-07 20:05:08,249] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.5598238Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5598252Z 2023-07-07T20:05:32.5598592Z [2023-07-07 20:05:08,249] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5598955Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5598966Z 2023-07-07T20:05:32.5599305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5599775Z - self: 2023-07-07T20:05:32.5600064Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5600256Z - aten_name: 2023-07-07T20:05:32.5600467Z - function_overloads: 2023-07-07T20:05:32.5600665Z - onnx_args: 2023-07-07T20:05:32.5600865Z - onnx_kwargs: 2023-07-07T20:05:32.5601380Z - diagnostic_context: 2023-07-07T20:05:32.5601734Z - Return value: 2023-07-07T20:05:32.5602192Z [2023-07-07 20:05:08,252] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:32.5602420Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5602532Z 2023-07-07T20:05:32.5602893Z [2023-07-07 20:05:08,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5603313Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5603325Z 2023-07-07T20:05:32.5603648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5604115Z - self: 2023-07-07T20:05:32.5604671Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5604972Z - aten_name: 2023-07-07T20:05:32.5605208Z - function_overloads: 2023-07-07T20:05:32.5605406Z - onnx_args: 2023-07-07T20:05:32.5605612Z - onnx_kwargs: 2023-07-07T20:05:32.5606142Z - diagnostic_context: 2023-07-07T20:05:32.5606419Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5606909Z [2023-07-07 20:05:08,253] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:32.5607116Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5607127Z 2023-07-07T20:05:32.5607456Z [2023-07-07 20:05:08,253] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5607819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5607834Z 2023-07-07T20:05:32.5608177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5608645Z - self: 2023-07-07T20:05:32.5609013Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5609222Z - aten_name: 2023-07-07T20:05:32.5609471Z - function_overloads: 2023-07-07T20:05:32.5609676Z - onnx_args: 2023-07-07T20:05:32.5609857Z - onnx_kwargs: 2023-07-07T20:05:32.5610392Z - diagnostic_context: 2023-07-07T20:05:32.5610663Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5611141Z [2023-07-07 20:05:08,254] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.5611365Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5611377Z 2023-07-07T20:05:32.5611736Z [2023-07-07 20:05:08,254] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5612119Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5612130Z 2023-07-07T20:05:32.5612470Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5612985Z - self: 2023-07-07T20:05:32.5613308Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5613510Z - aten_name: 2023-07-07T20:05:32.5613736Z - function_overloads: 2023-07-07T20:05:32.5613943Z - onnx_args: 2023-07-07T20:05:32.5614138Z - onnx_kwargs: 2023-07-07T20:05:32.5614657Z - diagnostic_context: 2023-07-07T20:05:32.5615045Z - Return value: 2023-07-07T20:05:32.5615590Z [2023-07-07 20:05:08,257] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:32.5615852Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5615864Z 2023-07-07T20:05:32.5616351Z [2023-07-07 20:05:08,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5616777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5616807Z 2023-07-07T20:05:32.5617124Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5617591Z - self: 2023-07-07T20:05:32.5618013Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5618294Z - aten_name: 2023-07-07T20:05:32.5618535Z - function_overloads: 2023-07-07T20:05:32.5618781Z - onnx_args: 2023-07-07T20:05:32.5618980Z - onnx_kwargs: 2023-07-07T20:05:32.5619506Z - diagnostic_context: 2023-07-07T20:05:32.5619860Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5620394Z [2023-07-07 20:05:08,266] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm]. 2023-07-07T20:05:32.5620662Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5620674Z 2023-07-07T20:05:32.5621034Z [2023-07-07 20:05:08,266] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5621387Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5621402Z 2023-07-07T20:05:32.5621743Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5622224Z - self: 2023-07-07T20:05:32.5622600Z - node: fx.Node(native_layer_norm[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5622800Z - aten_name: 2023-07-07T20:05:32.5623043Z - function_overloads: 2023-07-07T20:05:32.5623221Z - onnx_args: 2023-07-07T20:05:32.5623430Z - onnx_kwargs: 2023-07-07T20:05:32.5623989Z - diagnostic_context: 2023-07-07T20:05:32.5624353Z - Return value: 2023-07-07T20:05:32.5624764Z [2023-07-07 20:05:08,273] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:32.5624988Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5624999Z 2023-07-07T20:05:32.5625326Z [2023-07-07 20:05:08,273] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5625669Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5625681Z 2023-07-07T20:05:32.5625978Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5626442Z - self: 2023-07-07T20:05:32.5626747Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.5626946Z - aten_name: 2023-07-07T20:05:32.5627183Z - function_overloads: 2023-07-07T20:05:32.5627394Z - onnx_args: 2023-07-07T20:05:32.5627596Z - onnx_kwargs: 2023-07-07T20:05:32.5628093Z - diagnostic_context: 2023-07-07T20:05:32.5628348Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.5628791Z [2023-07-07 20:05:08,274] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T20:05:32.5629028Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5629040Z 2023-07-07T20:05:32.5629378Z [2023-07-07 20:05:08,274] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5629817Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5629831Z 2023-07-07T20:05:32.5630207Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5630692Z - self: 2023-07-07T20:05:32.5631025Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T20:05:32.5631258Z - aten_name: 2023-07-07T20:05:32.5631483Z - function_overloads: 2023-07-07T20:05:32.5631682Z - onnx_args: 2023-07-07T20:05:32.5631928Z - onnx_kwargs: 2023-07-07T20:05:32.5632459Z - diagnostic_context: 2023-07-07T20:05:32.5632723Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5633196Z [2023-07-07 20:05:08,275] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T20:05:32.5633444Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5633459Z 2023-07-07T20:05:32.5633794Z [2023-07-07 20:05:08,275] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5634135Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5634145Z 2023-07-07T20:05:32.5634449Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5634997Z - self: 2023-07-07T20:05:32.5635351Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T20:05:32.5635534Z - aten_name: 2023-07-07T20:05:32.5635756Z - function_overloads: 2023-07-07T20:05:32.5635950Z - onnx_args: 2023-07-07T20:05:32.5636130Z - onnx_kwargs: 2023-07-07T20:05:32.5636652Z - diagnostic_context: 2023-07-07T20:05:32.5636929Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5637384Z [2023-07-07 20:05:08,276] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_5]. 2023-07-07T20:05:32.5637617Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5637628Z 2023-07-07T20:05:32.5637950Z [2023-07-07 20:05:08,277] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5638283Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5638298Z 2023-07-07T20:05:32.5638606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5639087Z - self: 2023-07-07T20:05:32.5639439Z - node: fx.Node(getitem_5[call_function]'') 2023-07-07T20:05:32.5639641Z - aten_name: 2023-07-07T20:05:32.5639866Z - function_overloads: 2023-07-07T20:05:32.5640066Z - onnx_args: 2023-07-07T20:05:32.5640262Z - onnx_kwargs: 2023-07-07T20:05:32.5640779Z - diagnostic_context: 2023-07-07T20:05:32.5641042Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5641488Z [2023-07-07 20:05:08,279] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute]. 2023-07-07T20:05:32.5641698Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5641712Z 2023-07-07T20:05:32.5642059Z [2023-07-07 20:05:08,279] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5642399Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5642409Z 2023-07-07T20:05:32.5642822Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5643333Z - self: 2023-07-07T20:05:32.5643670Z - node: fx.Node(permute[call_function]'aten.permute.default') 2023-07-07T20:05:32.5643860Z - aten_name: 2023-07-07T20:05:32.5644094Z - function_overloads: 2023-07-07T20:05:32.5644274Z - onnx_args: 2023-07-07T20:05:32.5644675Z - onnx_kwargs: 2023-07-07T20:05:32.5645220Z - diagnostic_context: 2023-07-07T20:05:32.5645572Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5646065Z [2023-07-07 20:05:08,281] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_1]. 2023-07-07T20:05:32.5646312Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5646325Z 2023-07-07T20:05:32.5646683Z [2023-07-07 20:05:08,281] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5647016Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5647026Z 2023-07-07T20:05:32.5647305Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5647743Z - self: 2023-07-07T20:05:32.5648096Z - node: fx.Node(permute_1[call_function]'aten.permute.default') 2023-07-07T20:05:32.5648278Z - aten_name: 2023-07-07T20:05:32.5648517Z - function_overloads: 2023-07-07T20:05:32.5648718Z - onnx_args: 2023-07-07T20:05:32.5648925Z - onnx_kwargs: 2023-07-07T20:05:32.5649480Z - diagnostic_context: 2023-07-07T20:05:32.5649744Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5650233Z [2023-07-07 20:05:08,284] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_2]. 2023-07-07T20:05:32.5650482Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5650494Z 2023-07-07T20:05:32.5650849Z [2023-07-07 20:05:08,285] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5651221Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5651236Z 2023-07-07T20:05:32.5651564Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5652047Z - self: 2023-07-07T20:05:32.5652398Z - node: fx.Node(permute_2[call_function]'aten.permute.default') 2023-07-07T20:05:32.5652587Z - aten_name: 2023-07-07T20:05:32.5652818Z - function_overloads: 2023-07-07T20:05:32.5653020Z - onnx_args: 2023-07-07T20:05:32.5653225Z - onnx_kwargs: 2023-07-07T20:05:32.5653734Z - diagnostic_context: 2023-07-07T20:05:32.5654017Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5654451Z [2023-07-07 20:05:08,286] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.5654674Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5654688Z 2023-07-07T20:05:32.5655013Z [2023-07-07 20:05:08,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5655384Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5655395Z 2023-07-07T20:05:32.5655714Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5656333Z - self: 2023-07-07T20:05:32.5656746Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.5656959Z - aten_name: 2023-07-07T20:05:32.5657201Z - function_overloads: 2023-07-07T20:05:32.5657413Z - onnx_args: 2023-07-07T20:05:32.5657602Z - onnx_kwargs: 2023-07-07T20:05:32.5658127Z - diagnostic_context: 2023-07-07T20:05:32.5658581Z - Return value: 2023-07-07T20:05:32.5659026Z [2023-07-07 20:05:08,296] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T20:05:32.5659324Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5659336Z 2023-07-07T20:05:32.5659685Z [2023-07-07 20:05:08,296] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5660048Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5660060Z 2023-07-07T20:05:32.5660392Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5660881Z - self: 2023-07-07T20:05:32.5661186Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T20:05:32.5661392Z - aten_name: 2023-07-07T20:05:32.5661635Z - function_overloads: 2023-07-07T20:05:32.5661844Z - onnx_args: 2023-07-07T20:05:32.5662063Z - onnx_kwargs: 2023-07-07T20:05:32.5662612Z - diagnostic_context: 2023-07-07T20:05:32.5662878Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.5663334Z [2023-07-07 20:05:08,299] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.5663583Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5663594Z 2023-07-07T20:05:32.5663952Z [2023-07-07 20:05:08,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5664326Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5664338Z 2023-07-07T20:05:32.5664650Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5665116Z - self: 2023-07-07T20:05:32.5665441Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5665638Z - aten_name: 2023-07-07T20:05:32.5665874Z - function_overloads: 2023-07-07T20:05:32.5666072Z - onnx_args: 2023-07-07T20:05:32.5666282Z - onnx_kwargs: 2023-07-07T20:05:32.5666834Z - diagnostic_context: 2023-07-07T20:05:32.5667226Z - Return value: 2023-07-07T20:05:32.5667691Z [2023-07-07 20:05:08,303] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.5667940Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5667951Z 2023-07-07T20:05:32.5668307Z [2023-07-07 20:05:08,303] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5668666Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5668681Z 2023-07-07T20:05:32.5668981Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5669468Z - self: 2023-07-07T20:05:32.5669800Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5670096Z - aten_name: 2023-07-07T20:05:32.5670344Z - function_overloads: 2023-07-07T20:05:32.5670645Z - onnx_args: 2023-07-07T20:05:32.5670859Z - onnx_kwargs: 2023-07-07T20:05:32.5671407Z - diagnostic_context: 2023-07-07T20:05:32.5671776Z - Return value: 2023-07-07T20:05:32.5672247Z [2023-07-07 20:05:08,307] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.5672551Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5672603Z 2023-07-07T20:05:32.5672981Z [2023-07-07 20:05:08,307] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5673345Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5673357Z 2023-07-07T20:05:32.5673691Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5674194Z - self: 2023-07-07T20:05:32.5674528Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5674818Z - aten_name: 2023-07-07T20:05:32.5675068Z - function_overloads: 2023-07-07T20:05:32.5675273Z - onnx_args: 2023-07-07T20:05:32.5675489Z - onnx_kwargs: 2023-07-07T20:05:32.5676056Z - diagnostic_context: 2023-07-07T20:05:32.5676446Z - Return value: 2023-07-07T20:05:32.5676898Z [2023-07-07 20:05:08,309] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:32.5677140Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5677152Z 2023-07-07T20:05:32.5677503Z [2023-07-07 20:05:08,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5677883Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5677893Z 2023-07-07T20:05:32.5678224Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5678705Z - self: 2023-07-07T20:05:32.5679046Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5679243Z - aten_name: 2023-07-07T20:05:32.5679493Z - function_overloads: 2023-07-07T20:05:32.5679702Z - onnx_args: 2023-07-07T20:05:32.5679895Z - onnx_kwargs: 2023-07-07T20:05:32.5680450Z - diagnostic_context: 2023-07-07T20:05:32.5680832Z - Return value: 2023-07-07T20:05:32.5681397Z [2023-07-07 20:05:08,312] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:32.5681678Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5681689Z 2023-07-07T20:05:32.5682044Z [2023-07-07 20:05:08,312] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5682411Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5682426Z 2023-07-07T20:05:32.5682753Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5683262Z - self: 2023-07-07T20:05:32.5683687Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5683884Z - aten_name: 2023-07-07T20:05:32.5684208Z - function_overloads: 2023-07-07T20:05:32.5684565Z - onnx_args: 2023-07-07T20:05:32.5684865Z - onnx_kwargs: 2023-07-07T20:05:32.5685421Z - diagnostic_context: 2023-07-07T20:05:32.5685760Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5686217Z [2023-07-07 20:05:08,313] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_1]. 2023-07-07T20:05:32.5686513Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5686524Z 2023-07-07T20:05:32.5686936Z [2023-07-07 20:05:08,313] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5687319Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5687330Z 2023-07-07T20:05:32.5687671Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5688163Z - self: 2023-07-07T20:05:32.5688491Z - node: fx.Node(full_1[call_function]'aten.full.default') 2023-07-07T20:05:32.5688684Z - aten_name: 2023-07-07T20:05:32.5688925Z - function_overloads: 2023-07-07T20:05:32.5689120Z - onnx_args: 2023-07-07T20:05:32.5689338Z - onnx_kwargs: 2023-07-07T20:05:32.5689882Z - diagnostic_context: 2023-07-07T20:05:32.5690141Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.5690586Z [2023-07-07 20:05:08,317] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:32.5690828Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5690839Z 2023-07-07T20:05:32.5691205Z [2023-07-07 20:05:08,317] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5691576Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5691592Z 2023-07-07T20:05:32.5691943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5692433Z - self: 2023-07-07T20:05:32.5692743Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:32.5692963Z - aten_name: 2023-07-07T20:05:32.5693195Z - function_overloads: 2023-07-07T20:05:32.5693397Z - onnx_args: 2023-07-07T20:05:32.5693601Z - onnx_kwargs: 2023-07-07T20:05:32.5694149Z - diagnostic_context: 2023-07-07T20:05:32.5694387Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.5694850Z [2023-07-07 20:05:08,321] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:32.5695113Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5695128Z 2023-07-07T20:05:32.5695481Z [2023-07-07 20:05:08,321] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5695851Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5695863Z 2023-07-07T20:05:32.5696201Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5696705Z - self: 2023-07-07T20:05:32.5697040Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.5697242Z - aten_name: 2023-07-07T20:05:32.5697462Z - function_overloads: 2023-07-07T20:05:32.5697666Z - onnx_args: 2023-07-07T20:05:32.5697873Z - onnx_kwargs: 2023-07-07T20:05:32.5698560Z - diagnostic_context: 2023-07-07T20:05:32.5698995Z - Return value: 2023-07-07T20:05:32.5699451Z [2023-07-07 20:05:08,332] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_3]. 2023-07-07T20:05:32.5699702Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5699715Z 2023-07-07T20:05:32.5700079Z [2023-07-07 20:05:08,332] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5700464Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5700514Z 2023-07-07T20:05:32.5700826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5701300Z - self: 2023-07-07T20:05:32.5701660Z - node: fx.Node(permute_3[call_function]'aten.permute.default') 2023-07-07T20:05:32.5701863Z - aten_name: 2023-07-07T20:05:32.5702097Z - function_overloads: 2023-07-07T20:05:32.5702308Z - onnx_args: 2023-07-07T20:05:32.5702526Z - onnx_kwargs: 2023-07-07T20:05:32.5703057Z - diagnostic_context: 2023-07-07T20:05:32.5703328Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5703751Z [2023-07-07 20:05:08,333] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:32.5703975Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5703989Z 2023-07-07T20:05:32.5704307Z [2023-07-07 20:05:08,333] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5704653Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5704665Z 2023-07-07T20:05:32.5704983Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5705440Z - self: 2023-07-07T20:05:32.5705725Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:32.5705921Z - aten_name: 2023-07-07T20:05:32.5706125Z - function_overloads: 2023-07-07T20:05:32.5706317Z - onnx_args: 2023-07-07T20:05:32.5706525Z - onnx_kwargs: 2023-07-07T20:05:32.5707039Z - diagnostic_context: 2023-07-07T20:05:32.5707306Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.5707837Z [2023-07-07 20:05:08,342] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_1]. 2023-07-07T20:05:32.5708092Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5708108Z 2023-07-07T20:05:32.5708455Z [2023-07-07 20:05:08,342] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5708830Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5708842Z 2023-07-07T20:05:32.5709173Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5709675Z - self: 2023-07-07T20:05:32.5710073Z - node: fx.Node(native_layer_norm_1[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5710276Z - aten_name: 2023-07-07T20:05:32.5710509Z - function_overloads: 2023-07-07T20:05:32.5710698Z - onnx_args: 2023-07-07T20:05:32.5710909Z - onnx_kwargs: 2023-07-07T20:05:32.5711455Z - diagnostic_context: 2023-07-07T20:05:32.5711949Z - Return value: 2023-07-07T20:05:32.5712581Z [2023-07-07 20:05:08,369] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_2]. 2023-07-07T20:05:32.5712858Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5712871Z 2023-07-07T20:05:32.5713244Z [2023-07-07 20:05:08,369] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5713644Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5713655Z 2023-07-07T20:05:32.5714039Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5714532Z - self: 2023-07-07T20:05:32.5715082Z - node: fx.Node(native_layer_norm_2[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5715299Z - aten_name: 2023-07-07T20:05:32.5715532Z - function_overloads: 2023-07-07T20:05:32.5715748Z - onnx_args: 2023-07-07T20:05:32.5715965Z - onnx_kwargs: 2023-07-07T20:05:32.5716525Z - diagnostic_context: 2023-07-07T20:05:32.5716921Z - Return value: 2023-07-07T20:05:32.5717373Z [2023-07-07 20:05:08,375] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:32.5717626Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5717641Z 2023-07-07T20:05:32.5717992Z [2023-07-07 20:05:08,375] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5718370Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5718381Z 2023-07-07T20:05:32.5718716Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5719210Z - self: 2023-07-07T20:05:32.5719542Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.5719744Z - aten_name: 2023-07-07T20:05:32.5719956Z - function_overloads: 2023-07-07T20:05:32.5720154Z - onnx_args: 2023-07-07T20:05:32.5720338Z - onnx_kwargs: 2023-07-07T20:05:32.5720840Z - diagnostic_context: 2023-07-07T20:05:32.5721082Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.5721547Z [2023-07-07 20:05:08,377] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_12]. 2023-07-07T20:05:32.5721781Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5721791Z 2023-07-07T20:05:32.5722142Z [2023-07-07 20:05:08,377] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5722486Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5722514Z 2023-07-07T20:05:32.5722826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5723306Z - self: 2023-07-07T20:05:32.5723653Z - node: fx.Node(getitem_12[call_function]'') 2023-07-07T20:05:32.5723839Z - aten_name: 2023-07-07T20:05:32.5724070Z - function_overloads: 2023-07-07T20:05:32.5724267Z - onnx_args: 2023-07-07T20:05:32.5724608Z - onnx_kwargs: 2023-07-07T20:05:32.5725119Z - diagnostic_context: 2023-07-07T20:05:32.5725384Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5726008Z [2023-07-07 20:05:08,378] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_13]. 2023-07-07T20:05:32.5726324Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5726338Z 2023-07-07T20:05:32.5726703Z [2023-07-07 20:05:08,378] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5727053Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5727128Z 2023-07-07T20:05:32.5727457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5727972Z - self: 2023-07-07T20:05:32.5728343Z - node: fx.Node(getitem_13[call_function]'') 2023-07-07T20:05:32.5728530Z - aten_name: 2023-07-07T20:05:32.5728753Z - function_overloads: 2023-07-07T20:05:32.5728968Z - onnx_args: 2023-07-07T20:05:32.5729156Z - onnx_kwargs: 2023-07-07T20:05:32.5729701Z - diagnostic_context: 2023-07-07T20:05:32.5729983Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5730484Z [2023-07-07 20:05:08,379] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_14]. 2023-07-07T20:05:32.5730718Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5730751Z 2023-07-07T20:05:32.5731101Z [2023-07-07 20:05:08,379] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5731465Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5731476Z 2023-07-07T20:05:32.5731806Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5732312Z - self: 2023-07-07T20:05:32.5732693Z - node: fx.Node(getitem_14[call_function]'') 2023-07-07T20:05:32.5732897Z - aten_name: 2023-07-07T20:05:32.5733134Z - function_overloads: 2023-07-07T20:05:32.5733345Z - onnx_args: 2023-07-07T20:05:32.5733542Z - onnx_kwargs: 2023-07-07T20:05:32.5734107Z - diagnostic_context: 2023-07-07T20:05:32.5734392Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5734840Z [2023-07-07 20:05:08,381] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_4]. 2023-07-07T20:05:32.5735078Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5735092Z 2023-07-07T20:05:32.5735428Z [2023-07-07 20:05:08,381] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5735783Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5735795Z 2023-07-07T20:05:32.5736116Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5736603Z - self: 2023-07-07T20:05:32.5736943Z - node: fx.Node(permute_4[call_function]'aten.permute.default') 2023-07-07T20:05:32.5737154Z - aten_name: 2023-07-07T20:05:32.5737393Z - function_overloads: 2023-07-07T20:05:32.5737593Z - onnx_args: 2023-07-07T20:05:32.5737773Z - onnx_kwargs: 2023-07-07T20:05:32.5738296Z - diagnostic_context: 2023-07-07T20:05:32.5738567Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5739044Z [2023-07-07 20:05:08,384] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_5]. 2023-07-07T20:05:32.5739384Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5739397Z 2023-07-07T20:05:32.5739814Z [2023-07-07 20:05:08,384] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5740187Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5740200Z 2023-07-07T20:05:32.5740524Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5741046Z - self: 2023-07-07T20:05:32.5741443Z - node: fx.Node(permute_5[call_function]'aten.permute.default') 2023-07-07T20:05:32.5741646Z - aten_name: 2023-07-07T20:05:32.5741871Z - function_overloads: 2023-07-07T20:05:32.5742087Z - onnx_args: 2023-07-07T20:05:32.5742296Z - onnx_kwargs: 2023-07-07T20:05:32.5742865Z - diagnostic_context: 2023-07-07T20:05:32.5743145Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5743617Z [2023-07-07 20:05:08,386] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_6]. 2023-07-07T20:05:32.5743866Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5743877Z 2023-07-07T20:05:32.5744238Z [2023-07-07 20:05:08,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5744589Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5744620Z 2023-07-07T20:05:32.5744935Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5745436Z - self: 2023-07-07T20:05:32.5745796Z - node: fx.Node(permute_6[call_function]'aten.permute.default') 2023-07-07T20:05:32.5746009Z - aten_name: 2023-07-07T20:05:32.5746254Z - function_overloads: 2023-07-07T20:05:32.5746453Z - onnx_args: 2023-07-07T20:05:32.5746655Z - onnx_kwargs: 2023-07-07T20:05:32.5747173Z - diagnostic_context: 2023-07-07T20:05:32.5747453Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5747937Z [2023-07-07 20:05:08,387] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:32.5748200Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5748215Z 2023-07-07T20:05:32.5748562Z [2023-07-07 20:05:08,387] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5748929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5748940Z 2023-07-07T20:05:32.5749249Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5749761Z - self: 2023-07-07T20:05:32.5750112Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:32.5750300Z - aten_name: 2023-07-07T20:05:32.5750540Z - function_overloads: 2023-07-07T20:05:32.5750746Z - onnx_args: 2023-07-07T20:05:32.5750960Z - onnx_kwargs: 2023-07-07T20:05:32.5751506Z - diagnostic_context: 2023-07-07T20:05:32.5751890Z - Return value: 2023-07-07T20:05:32.5752357Z [2023-07-07 20:05:08,396] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_2]. 2023-07-07T20:05:32.5752598Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5752609Z 2023-07-07T20:05:32.5753063Z [2023-07-07 20:05:08,396] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5753481Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5753493Z 2023-07-07T20:05:32.5753820Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5754288Z - self: 2023-07-07T20:05:32.5754775Z - node: fx.Node(full_2[call_function]'aten.full.default') 2023-07-07T20:05:32.5754997Z - aten_name: 2023-07-07T20:05:32.5755311Z - function_overloads: 2023-07-07T20:05:32.5755531Z - onnx_args: 2023-07-07T20:05:32.5755737Z - onnx_kwargs: 2023-07-07T20:05:32.5756312Z - diagnostic_context: 2023-07-07T20:05:32.5756585Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.5757048Z [2023-07-07 20:05:08,399] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:32.5757302Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5757312Z 2023-07-07T20:05:32.5757664Z [2023-07-07 20:05:08,399] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5758019Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5758033Z 2023-07-07T20:05:32.5758375Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5758858Z - self: 2023-07-07T20:05:32.5759168Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5759372Z - aten_name: 2023-07-07T20:05:32.5759607Z - function_overloads: 2023-07-07T20:05:32.5759810Z - onnx_args: 2023-07-07T20:05:32.5760024Z - onnx_kwargs: 2023-07-07T20:05:32.5760565Z - diagnostic_context: 2023-07-07T20:05:32.5760943Z - Return value: 2023-07-07T20:05:32.5761392Z [2023-07-07 20:05:08,402] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:32.5761640Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5761658Z 2023-07-07T20:05:32.5762013Z [2023-07-07 20:05:08,402] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5762383Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5762394Z 2023-07-07T20:05:32.5762729Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5763218Z - self: 2023-07-07T20:05:32.5763529Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5763727Z - aten_name: 2023-07-07T20:05:32.5763963Z - function_overloads: 2023-07-07T20:05:32.5764143Z - onnx_args: 2023-07-07T20:05:32.5764342Z - onnx_kwargs: 2023-07-07T20:05:32.5765040Z - diagnostic_context: 2023-07-07T20:05:32.5765407Z - Return value: 2023-07-07T20:05:32.5765838Z [2023-07-07 20:05:08,404] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:32.5766077Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5766088Z 2023-07-07T20:05:32.5766425Z [2023-07-07 20:05:08,404] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5766918Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5766932Z 2023-07-07T20:05:32.5767304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5767798Z - self: 2023-07-07T20:05:32.5768130Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5768335Z - aten_name: 2023-07-07T20:05:32.5768650Z - function_overloads: 2023-07-07T20:05:32.5768859Z - onnx_args: 2023-07-07T20:05:32.5769070Z - onnx_kwargs: 2023-07-07T20:05:32.5769670Z - diagnostic_context: 2023-07-07T20:05:32.5770056Z - Return value: 2023-07-07T20:05:32.5770533Z [2023-07-07 20:05:08,407] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:32.5770787Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5770798Z 2023-07-07T20:05:32.5771164Z [2023-07-07 20:05:08,407] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5771516Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5771527Z 2023-07-07T20:05:32.5771850Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5772346Z - self: 2023-07-07T20:05:32.5772689Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5772883Z - aten_name: 2023-07-07T20:05:32.5773118Z - function_overloads: 2023-07-07T20:05:32.5773326Z - onnx_args: 2023-07-07T20:05:32.5773538Z - onnx_kwargs: 2023-07-07T20:05:32.5774099Z - diagnostic_context: 2023-07-07T20:05:32.5774491Z - Return value: 2023-07-07T20:05:32.5775052Z [2023-07-07 20:05:08,409] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:32.5775343Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5775356Z 2023-07-07T20:05:32.5775707Z [2023-07-07 20:05:08,410] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5776077Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5776090Z 2023-07-07T20:05:32.5776423Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5776896Z - self: 2023-07-07T20:05:32.5777350Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5777548Z - aten_name: 2023-07-07T20:05:32.5777775Z - function_overloads: 2023-07-07T20:05:32.5777980Z - onnx_args: 2023-07-07T20:05:32.5778166Z - onnx_kwargs: 2023-07-07T20:05:32.5778707Z - diagnostic_context: 2023-07-07T20:05:32.5779046Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5779495Z [2023-07-07 20:05:08,410] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_3]. 2023-07-07T20:05:32.5779724Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5779735Z 2023-07-07T20:05:32.5780077Z [2023-07-07 20:05:08,411] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5780413Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5780557Z 2023-07-07T20:05:32.5780880Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5781411Z - self: 2023-07-07T20:05:32.5781729Z - node: fx.Node(full_3[call_function]'aten.full.default') 2023-07-07T20:05:32.5781936Z - aten_name: 2023-07-07T20:05:32.5782175Z - function_overloads: 2023-07-07T20:05:32.5782439Z - onnx_args: 2023-07-07T20:05:32.5782646Z - onnx_kwargs: 2023-07-07T20:05:32.5783189Z - diagnostic_context: 2023-07-07T20:05:32.5783507Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.5783951Z [2023-07-07 20:05:08,416] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax_1]. 2023-07-07T20:05:32.5784191Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5784202Z 2023-07-07T20:05:32.5784550Z [2023-07-07 20:05:08,416] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5784908Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5784921Z 2023-07-07T20:05:32.5785252Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5785731Z - self: 2023-07-07T20:05:32.5786062Z - node: fx.Node(amax_1[call_function]'aten.amax.default') 2023-07-07T20:05:32.5786263Z - aten_name: 2023-07-07T20:05:32.5786503Z - function_overloads: 2023-07-07T20:05:32.5786688Z - onnx_args: 2023-07-07T20:05:32.5786893Z - onnx_kwargs: 2023-07-07T20:05:32.5787447Z - diagnostic_context: 2023-07-07T20:05:32.5787712Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.5788142Z [2023-07-07 20:05:08,420] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_2]. 2023-07-07T20:05:32.5788410Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5788420Z 2023-07-07T20:05:32.5788780Z [2023-07-07 20:05:08,420] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5789141Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5789157Z 2023-07-07T20:05:32.5789478Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5789977Z - self: 2023-07-07T20:05:32.5790302Z - node: fx.Node(sum_2[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.5790489Z - aten_name: 2023-07-07T20:05:32.5790712Z - function_overloads: 2023-07-07T20:05:32.5790908Z - onnx_args: 2023-07-07T20:05:32.5791117Z - onnx_kwargs: 2023-07-07T20:05:32.5791666Z - diagnostic_context: 2023-07-07T20:05:32.5792019Z - Return value: 2023-07-07T20:05:32.5792509Z [2023-07-07 20:05:08,432] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_7]. 2023-07-07T20:05:32.5792771Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5792783Z 2023-07-07T20:05:32.5793152Z [2023-07-07 20:05:08,432] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5793532Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5793543Z 2023-07-07T20:05:32.5793884Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5794480Z - self: 2023-07-07T20:05:32.5794989Z - node: fx.Node(permute_7[call_function]'aten.permute.default') 2023-07-07T20:05:32.5795189Z - aten_name: 2023-07-07T20:05:32.5795409Z - function_overloads: 2023-07-07T20:05:32.5795607Z - onnx_args: 2023-07-07T20:05:32.5795811Z - onnx_kwargs: 2023-07-07T20:05:32.5796341Z - diagnostic_context: 2023-07-07T20:05:32.5796682Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5797133Z [2023-07-07 20:05:08,434] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:32.5797403Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5797414Z 2023-07-07T20:05:32.5797725Z [2023-07-07 20:05:08,434] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5798063Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5798074Z 2023-07-07T20:05:32.5798379Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5798862Z - self: 2023-07-07T20:05:32.5799198Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:32.5799407Z - aten_name: 2023-07-07T20:05:32.5799653Z - function_overloads: 2023-07-07T20:05:32.5799852Z - onnx_args: 2023-07-07T20:05:32.5800056Z - onnx_kwargs: 2023-07-07T20:05:32.5800618Z - diagnostic_context: 2023-07-07T20:05:32.5800885Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.5801419Z [2023-07-07 20:05:08,443] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_3]. 2023-07-07T20:05:32.5801674Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5801688Z 2023-07-07T20:05:32.5802053Z [2023-07-07 20:05:08,443] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5802416Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5802427Z 2023-07-07T20:05:32.5802734Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5803213Z - self: 2023-07-07T20:05:32.5803591Z - node: fx.Node(native_layer_norm_3[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5803793Z - aten_name: 2023-07-07T20:05:32.5804020Z - function_overloads: 2023-07-07T20:05:32.5804223Z - onnx_args: 2023-07-07T20:05:32.5804579Z - onnx_kwargs: 2023-07-07T20:05:32.5805125Z - diagnostic_context: 2023-07-07T20:05:32.5805525Z - Return value: 2023-07-07T20:05:32.5806064Z [2023-07-07 20:05:08,466] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_4]. 2023-07-07T20:05:32.5806309Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5806325Z 2023-07-07T20:05:32.5806663Z [2023-07-07 20:05:08,466] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5807026Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5807038Z 2023-07-07T20:05:32.5807365Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5808011Z - self: 2023-07-07T20:05:32.5808405Z - node: fx.Node(native_layer_norm_4[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5808686Z - aten_name: 2023-07-07T20:05:32.5808923Z - function_overloads: 2023-07-07T20:05:32.5809121Z - onnx_args: 2023-07-07T20:05:32.5809340Z - onnx_kwargs: 2023-07-07T20:05:32.5809863Z - diagnostic_context: 2023-07-07T20:05:32.5810325Z - Return value: 2023-07-07T20:05:32.5810466Z PASSED [2.7360s] [ 84%] 2023-07-07T20:05:32.5811531Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_large_scale_exporter_with_tiny_gpt2 Some weights of the model checkpoint at sshleifer/tiny-gpt2 were not used when initializing GPT2Model: ['lm_head.weight'] 2023-07-07T20:05:32.5812571Z - This IS expected if you are initializing GPT2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2023-07-07T20:05:32.5813482Z - This IS NOT expected if you are initializing GPT2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2023-07-07T20:05:32.5814035Z Some weights of the model checkpoint at sshleifer/tiny-gpt2 were not used when initializing GPT2Model: ['lm_head.weight'] 2023-07-07T20:05:32.5814948Z - This IS expected if you are initializing GPT2Model from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2023-07-07T20:05:32.5815838Z - This IS NOT expected if you are initializing GPT2Model from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2023-07-07T20:05:32.5816330Z [2023-07-07 20:05:10,169] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze]. 2023-07-07T20:05:32.5816591Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5816603Z 2023-07-07T20:05:32.5816957Z [2023-07-07 20:05:10,170] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5817324Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5817341Z 2023-07-07T20:05:32.5817674Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5818164Z - self: 2023-07-07T20:05:32.5818533Z - node: fx.Node(unsqueeze[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5818753Z - aten_name: 2023-07-07T20:05:32.5818998Z - function_overloads: 2023-07-07T20:05:32.5819185Z - onnx_args: 2023-07-07T20:05:32.5819395Z - onnx_kwargs: 2023-07-07T20:05:32.5819968Z - diagnostic_context: 2023-07-07T20:05:32.5820258Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5820732Z [2023-07-07 20:05:10,174] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.5820968Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5820979Z 2023-07-07T20:05:32.5821326Z [2023-07-07 20:05:10,174] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5821688Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5821699Z 2023-07-07T20:05:32.5822004Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5822586Z - self: 2023-07-07T20:05:32.5822976Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5823191Z - aten_name: 2023-07-07T20:05:32.5823405Z - function_overloads: 2023-07-07T20:05:32.5823603Z - onnx_args: 2023-07-07T20:05:32.5823804Z - onnx_kwargs: 2023-07-07T20:05:32.5824317Z - diagnostic_context: 2023-07-07T20:05:32.5824716Z - Return value: 2023-07-07T20:05:32.5825233Z [2023-07-07 20:05:10,178] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_1]. 2023-07-07T20:05:32.5825479Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5825491Z 2023-07-07T20:05:32.5825835Z [2023-07-07 20:05:10,178] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5826182Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5826196Z 2023-07-07T20:05:32.5826516Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5827001Z - self: 2023-07-07T20:05:32.5827367Z - node: fx.Node(unsqueeze_1[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5827576Z - aten_name: 2023-07-07T20:05:32.5827808Z - function_overloads: 2023-07-07T20:05:32.5828022Z - onnx_args: 2023-07-07T20:05:32.5828239Z - onnx_kwargs: 2023-07-07T20:05:32.5828797Z - diagnostic_context: 2023-07-07T20:05:32.5829068Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5829560Z [2023-07-07 20:05:10,179] torch.onnx: [WARNING] FX Node: call_function:aten.unsqueeze.default[name=unsqueeze_2]. 2023-07-07T20:05:32.5829823Z ONNX Node: aten_unsqueeze[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5829835Z 2023-07-07T20:05:32.5830172Z [2023-07-07 20:05:10,179] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5830528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5830538Z 2023-07-07T20:05:32.5830860Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5831326Z - self: 2023-07-07T20:05:32.5831711Z - node: fx.Node(unsqueeze_2[call_function]'aten.unsqueeze.default') 2023-07-07T20:05:32.5831918Z - aten_name: 2023-07-07T20:05:32.5832144Z - function_overloads: 2023-07-07T20:05:32.5832346Z - onnx_args: 2023-07-07T20:05:32.5832532Z - onnx_kwargs: 2023-07-07T20:05:32.5833085Z - diagnostic_context: 2023-07-07T20:05:32.5833370Z - Return value: `OnnxFunction(aten_unsqueeze)` 2023-07-07T20:05:32.5833842Z [2023-07-07 20:05:10,180] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.5834096Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5834107Z 2023-07-07T20:05:32.5834460Z [2023-07-07 20:05:10,180] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5834911Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5834927Z 2023-07-07T20:05:32.5835244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5835712Z - self: 2023-07-07T20:05:32.5836127Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5836334Z - aten_name: 2023-07-07T20:05:32.5836616Z - function_overloads: 2023-07-07T20:05:32.5836816Z - onnx_args: 2023-07-07T20:05:32.5837025Z - onnx_kwargs: 2023-07-07T20:05:32.5837571Z - diagnostic_context: 2023-07-07T20:05:32.5837963Z - Return value: 2023-07-07T20:05:32.5838591Z [2023-07-07 20:05:10,183] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type]. 2023-07-07T20:05:32.5838909Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5838921Z 2023-07-07T20:05:32.5839285Z [2023-07-07 20:05:10,183] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5839637Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5839649Z 2023-07-07T20:05:32.5839978Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5840478Z - self: 2023-07-07T20:05:32.5840894Z - node: fx.Node(convert_element_type[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5841098Z - aten_name: 2023-07-07T20:05:32.5841342Z - function_overloads: 2023-07-07T20:05:32.5841531Z - onnx_args: 2023-07-07T20:05:32.5841737Z - onnx_kwargs: 2023-07-07T20:05:32.5842306Z - diagnostic_context: 2023-07-07T20:05:32.5842644Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5843187Z [2023-07-07 20:05:10,190] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm]. 2023-07-07T20:05:32.5843468Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5843481Z 2023-07-07T20:05:32.5843849Z [2023-07-07 20:05:10,190] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5844215Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5844227Z 2023-07-07T20:05:32.5844736Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5845230Z - self: 2023-07-07T20:05:32.5845656Z - node: fx.Node(native_layer_norm[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5845864Z - aten_name: 2023-07-07T20:05:32.5846103Z - function_overloads: 2023-07-07T20:05:32.5846313Z - onnx_args: 2023-07-07T20:05:32.5846521Z - onnx_kwargs: 2023-07-07T20:05:32.5847074Z - diagnostic_context: 2023-07-07T20:05:32.5847454Z - Return value: 2023-07-07T20:05:32.5847922Z [2023-07-07 20:05:10,196] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:32.5848166Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5848177Z 2023-07-07T20:05:32.5848544Z [2023-07-07 20:05:10,196] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5848922Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5848938Z 2023-07-07T20:05:32.5849270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5849765Z - self: 2023-07-07T20:05:32.5850220Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.5850441Z - aten_name: 2023-07-07T20:05:32.5850727Z - function_overloads: 2023-07-07T20:05:32.5850946Z - onnx_args: 2023-07-07T20:05:32.5851159Z - onnx_kwargs: 2023-07-07T20:05:32.5851699Z - diagnostic_context: 2023-07-07T20:05:32.5851963Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.5852530Z [2023-07-07 20:05:10,197] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_3]. 2023-07-07T20:05:32.5852777Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5852878Z 2023-07-07T20:05:32.5853243Z [2023-07-07 20:05:10,197] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5853597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5853625Z 2023-07-07T20:05:32.5853943Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5854435Z - self: 2023-07-07T20:05:32.5854802Z - node: fx.Node(getitem_3[call_function]'') 2023-07-07T20:05:32.5855002Z - aten_name: 2023-07-07T20:05:32.5855239Z - function_overloads: 2023-07-07T20:05:32.5855448Z - onnx_args: 2023-07-07T20:05:32.5855667Z - onnx_kwargs: 2023-07-07T20:05:32.5856209Z - diagnostic_context: 2023-07-07T20:05:32.5856498Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5856999Z [2023-07-07 20:05:10,198] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_4]. 2023-07-07T20:05:32.5857250Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5857266Z 2023-07-07T20:05:32.5857634Z [2023-07-07 20:05:10,198] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5858016Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5858028Z 2023-07-07T20:05:32.5858365Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5858873Z - self: 2023-07-07T20:05:32.5859243Z - node: fx.Node(getitem_4[call_function]'') 2023-07-07T20:05:32.5859437Z - aten_name: 2023-07-07T20:05:32.5859668Z - function_overloads: 2023-07-07T20:05:32.5859879Z - onnx_args: 2023-07-07T20:05:32.5860088Z - onnx_kwargs: 2023-07-07T20:05:32.5860639Z - diagnostic_context: 2023-07-07T20:05:32.5860918Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5861412Z [2023-07-07 20:05:10,199] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_5]. 2023-07-07T20:05:32.5861648Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5861679Z 2023-07-07T20:05:32.5862026Z [2023-07-07 20:05:10,199] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5862397Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5862412Z 2023-07-07T20:05:32.5862746Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5863245Z - self: 2023-07-07T20:05:32.5863627Z - node: fx.Node(getitem_5[call_function]'') 2023-07-07T20:05:32.5863835Z - aten_name: 2023-07-07T20:05:32.5864167Z - function_overloads: 2023-07-07T20:05:32.5864392Z - onnx_args: 2023-07-07T20:05:32.5864645Z - onnx_kwargs: 2023-07-07T20:05:32.5865225Z - diagnostic_context: 2023-07-07T20:05:32.5865504Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5865987Z [2023-07-07 20:05:10,202] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute]. 2023-07-07T20:05:32.5866296Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5866308Z 2023-07-07T20:05:32.5866672Z [2023-07-07 20:05:10,202] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5867099Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5867110Z 2023-07-07T20:05:32.5867445Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5867937Z - self: 2023-07-07T20:05:32.5868304Z - node: fx.Node(permute[call_function]'aten.permute.default') 2023-07-07T20:05:32.5868512Z - aten_name: 2023-07-07T20:05:32.5868744Z - function_overloads: 2023-07-07T20:05:32.5868955Z - onnx_args: 2023-07-07T20:05:32.5869164Z - onnx_kwargs: 2023-07-07T20:05:32.5869734Z - diagnostic_context: 2023-07-07T20:05:32.5870027Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5870503Z [2023-07-07 20:05:10,204] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_1]. 2023-07-07T20:05:32.5870755Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5870766Z 2023-07-07T20:05:32.5871131Z [2023-07-07 20:05:10,204] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5871509Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5871524Z 2023-07-07T20:05:32.5871865Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5872380Z - self: 2023-07-07T20:05:32.5872753Z - node: fx.Node(permute_1[call_function]'aten.permute.default') 2023-07-07T20:05:32.5872966Z - aten_name: 2023-07-07T20:05:32.5873184Z - function_overloads: 2023-07-07T20:05:32.5873392Z - onnx_args: 2023-07-07T20:05:32.5873595Z - onnx_kwargs: 2023-07-07T20:05:32.5874166Z - diagnostic_context: 2023-07-07T20:05:32.5874445Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5875036Z [2023-07-07 20:05:10,206] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_2]. 2023-07-07T20:05:32.5875290Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5875305Z 2023-07-07T20:05:32.5875678Z [2023-07-07 20:05:10,206] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5876030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5876060Z 2023-07-07T20:05:32.5876376Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5876884Z - self: 2023-07-07T20:05:32.5877257Z - node: fx.Node(permute_2[call_function]'aten.permute.default') 2023-07-07T20:05:32.5877465Z - aten_name: 2023-07-07T20:05:32.5877709Z - function_overloads: 2023-07-07T20:05:32.5877925Z - onnx_args: 2023-07-07T20:05:32.5878133Z - onnx_kwargs: 2023-07-07T20:05:32.5878766Z - diagnostic_context: 2023-07-07T20:05:32.5879107Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5879586Z [2023-07-07 20:05:10,208] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.5879840Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5879851Z 2023-07-07T20:05:32.5880210Z [2023-07-07 20:05:10,208] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5880640Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5880745Z 2023-07-07T20:05:32.5881090Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5881590Z - self: 2023-07-07T20:05:32.5881953Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.5882149Z - aten_name: 2023-07-07T20:05:32.5882393Z - function_overloads: 2023-07-07T20:05:32.5882604Z - onnx_args: 2023-07-07T20:05:32.5882825Z - onnx_kwargs: 2023-07-07T20:05:32.5883359Z - diagnostic_context: 2023-07-07T20:05:32.5883731Z - Return value: 2023-07-07T20:05:32.5884170Z [2023-07-07 20:05:10,217] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full]. 2023-07-07T20:05:32.5884548Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5884582Z 2023-07-07T20:05:32.5884929Z [2023-07-07 20:05:10,217] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5885280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5885292Z 2023-07-07T20:05:32.5885628Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5886124Z - self: 2023-07-07T20:05:32.5886435Z - node: fx.Node(full[call_function]'aten.full.default') 2023-07-07T20:05:32.5886635Z - aten_name: 2023-07-07T20:05:32.5886856Z - function_overloads: 2023-07-07T20:05:32.5887058Z - onnx_args: 2023-07-07T20:05:32.5887255Z - onnx_kwargs: 2023-07-07T20:05:32.5887808Z - diagnostic_context: 2023-07-07T20:05:32.5888082Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.5888536Z [2023-07-07 20:05:10,220] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.5888774Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5888785Z 2023-07-07T20:05:32.5889148Z [2023-07-07 20:05:10,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5889523Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5889535Z 2023-07-07T20:05:32.5889861Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5890337Z - self: 2023-07-07T20:05:32.5890671Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5890874Z - aten_name: 2023-07-07T20:05:32.5891123Z - function_overloads: 2023-07-07T20:05:32.5891339Z - onnx_args: 2023-07-07T20:05:32.5891549Z - onnx_kwargs: 2023-07-07T20:05:32.5892089Z - diagnostic_context: 2023-07-07T20:05:32.5892608Z - Return value: 2023-07-07T20:05:32.5893127Z [2023-07-07 20:05:10,223] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.5893371Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5893382Z 2023-07-07T20:05:32.5893742Z [2023-07-07 20:05:10,223] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5894104Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5894178Z 2023-07-07T20:05:32.5894515Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5895057Z - self: 2023-07-07T20:05:32.5895378Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5895580Z - aten_name: 2023-07-07T20:05:32.5895803Z - function_overloads: 2023-07-07T20:05:32.5896012Z - onnx_args: 2023-07-07T20:05:32.5896217Z - onnx_kwargs: 2023-07-07T20:05:32.5896781Z - diagnostic_context: 2023-07-07T20:05:32.5897170Z - Return value: 2023-07-07T20:05:32.5897637Z [2023-07-07 20:05:10,226] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.5897881Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5897898Z 2023-07-07T20:05:32.5898250Z [2023-07-07 20:05:10,226] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5898607Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5898635Z 2023-07-07T20:05:32.5898947Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5899449Z - self: 2023-07-07T20:05:32.5899787Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5899991Z - aten_name: 2023-07-07T20:05:32.5900232Z - function_overloads: 2023-07-07T20:05:32.5900441Z - onnx_args: 2023-07-07T20:05:32.5900656Z - onnx_kwargs: 2023-07-07T20:05:32.5901204Z - diagnostic_context: 2023-07-07T20:05:32.5901604Z - Return value: 2023-07-07T20:05:32.5902074Z [2023-07-07 20:05:10,229] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:32.5902328Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5902341Z 2023-07-07T20:05:32.5902706Z [2023-07-07 20:05:10,229] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5903077Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5903088Z 2023-07-07T20:05:32.5903430Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5903935Z - self: 2023-07-07T20:05:32.5904268Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5904462Z - aten_name: 2023-07-07T20:05:32.5904704Z - function_overloads: 2023-07-07T20:05:32.5904919Z - onnx_args: 2023-07-07T20:05:32.5905132Z - onnx_kwargs: 2023-07-07T20:05:32.5905690Z - diagnostic_context: 2023-07-07T20:05:32.5906067Z - Return value: 2023-07-07T20:05:32.5906737Z [2023-07-07 20:05:10,231] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_1]. 2023-07-07T20:05:32.5907085Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5907115Z 2023-07-07T20:05:32.5907468Z [2023-07-07 20:05:10,231] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5907822Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5907833Z 2023-07-07T20:05:32.5908158Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5908706Z - self: 2023-07-07T20:05:32.5909176Z - node: fx.Node(convert_element_type_1[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5909345Z - aten_name: 2023-07-07T20:05:32.5909553Z - function_overloads: 2023-07-07T20:05:32.5909746Z - onnx_args: 2023-07-07T20:05:32.5909938Z - onnx_kwargs: 2023-07-07T20:05:32.5910472Z - diagnostic_context: 2023-07-07T20:05:32.5910801Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.5911213Z [2023-07-07 20:05:10,232] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_1]. 2023-07-07T20:05:32.5911433Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5911450Z 2023-07-07T20:05:32.5911761Z [2023-07-07 20:05:10,232] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5912106Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5912119Z 2023-07-07T20:05:32.5912411Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5912851Z - self: 2023-07-07T20:05:32.5913124Z - node: fx.Node(full_1[call_function]'aten.full.default') 2023-07-07T20:05:32.5913305Z - aten_name: 2023-07-07T20:05:32.5913530Z - function_overloads: 2023-07-07T20:05:32.5913717Z - onnx_args: 2023-07-07T20:05:32.5913899Z - onnx_kwargs: 2023-07-07T20:05:32.5914399Z - diagnostic_context: 2023-07-07T20:05:32.5914734Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.5915147Z [2023-07-07 20:05:10,236] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:32.5915374Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5915384Z 2023-07-07T20:05:32.5915702Z [2023-07-07 20:05:10,236] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5916056Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5916070Z 2023-07-07T20:05:32.5916349Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5916818Z - self: 2023-07-07T20:05:32.5917135Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:32.5917321Z - aten_name: 2023-07-07T20:05:32.5917528Z - function_overloads: 2023-07-07T20:05:32.5917697Z - onnx_args: 2023-07-07T20:05:32.5917888Z - onnx_kwargs: 2023-07-07T20:05:32.5918379Z - diagnostic_context: 2023-07-07T20:05:32.5918632Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.5919046Z [2023-07-07 20:05:10,240] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:32.5919291Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5919397Z 2023-07-07T20:05:32.5919722Z [2023-07-07 20:05:10,240] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5920105Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5920115Z 2023-07-07T20:05:32.5920395Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5920830Z - self: 2023-07-07T20:05:32.5921170Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.5921395Z - aten_name: 2023-07-07T20:05:32.5921619Z - function_overloads: 2023-07-07T20:05:32.5921813Z - onnx_args: 2023-07-07T20:05:32.5921994Z - onnx_kwargs: 2023-07-07T20:05:32.5922494Z - diagnostic_context: 2023-07-07T20:05:32.5922857Z - Return value: 2023-07-07T20:05:32.5923313Z [2023-07-07 20:05:10,251] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_3]. 2023-07-07T20:05:32.5923548Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5923559Z 2023-07-07T20:05:32.5923896Z [2023-07-07 20:05:10,251] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5924220Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5924234Z 2023-07-07T20:05:32.5924717Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5925205Z - self: 2023-07-07T20:05:32.5925551Z - node: fx.Node(permute_3[call_function]'aten.permute.default') 2023-07-07T20:05:32.5925737Z - aten_name: 2023-07-07T20:05:32.5925959Z - function_overloads: 2023-07-07T20:05:32.5926152Z - onnx_args: 2023-07-07T20:05:32.5926352Z - onnx_kwargs: 2023-07-07T20:05:32.5926893Z - diagnostic_context: 2023-07-07T20:05:32.5927174Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5927636Z [2023-07-07 20:05:10,252] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:32.5927879Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5927890Z 2023-07-07T20:05:32.5928217Z [2023-07-07 20:05:10,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5928586Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5928597Z 2023-07-07T20:05:32.5928895Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5929397Z - self: 2023-07-07T20:05:32.5929733Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:32.5929935Z - aten_name: 2023-07-07T20:05:32.5930166Z - function_overloads: 2023-07-07T20:05:32.5930367Z - onnx_args: 2023-07-07T20:05:32.5930553Z - onnx_kwargs: 2023-07-07T20:05:32.5931122Z - diagnostic_context: 2023-07-07T20:05:32.5931400Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.5931900Z [2023-07-07 20:05:10,261] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_1]. 2023-07-07T20:05:32.5932177Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5932189Z 2023-07-07T20:05:32.5932536Z [2023-07-07 20:05:10,261] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5933030Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5933092Z 2023-07-07T20:05:32.5933429Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5933925Z - self: 2023-07-07T20:05:32.5934302Z - node: fx.Node(native_layer_norm_1[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5934554Z - aten_name: 2023-07-07T20:05:32.5934778Z - function_overloads: 2023-07-07T20:05:32.5935034Z - onnx_args: 2023-07-07T20:05:32.5935231Z - onnx_kwargs: 2023-07-07T20:05:32.5935786Z - diagnostic_context: 2023-07-07T20:05:32.5936178Z - Return value: 2023-07-07T20:05:32.5936652Z [2023-07-07 20:05:10,283] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_2]. 2023-07-07T20:05:32.5936922Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5936933Z 2023-07-07T20:05:32.5937275Z [2023-07-07 20:05:10,283] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5937634Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5937649Z 2023-07-07T20:05:32.5937962Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5938418Z - self: 2023-07-07T20:05:32.5938817Z - node: fx.Node(native_layer_norm_2[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.5939014Z - aten_name: 2023-07-07T20:05:32.5939227Z - function_overloads: 2023-07-07T20:05:32.5939415Z - onnx_args: 2023-07-07T20:05:32.5939617Z - onnx_kwargs: 2023-07-07T20:05:32.5940167Z - diagnostic_context: 2023-07-07T20:05:32.5940542Z - Return value: 2023-07-07T20:05:32.5940983Z [2023-07-07 20:05:10,289] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:32.5941226Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5941241Z 2023-07-07T20:05:32.5941576Z [2023-07-07 20:05:10,289] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5941914Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5941926Z 2023-07-07T20:05:32.5942229Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5942668Z - self: 2023-07-07T20:05:32.5942989Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.5943189Z - aten_name: 2023-07-07T20:05:32.5943435Z - function_overloads: 2023-07-07T20:05:32.5943647Z - onnx_args: 2023-07-07T20:05:32.5943844Z - onnx_kwargs: 2023-07-07T20:05:32.5944390Z - diagnostic_context: 2023-07-07T20:05:32.5944645Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.5945125Z [2023-07-07 20:05:10,290] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_12]. 2023-07-07T20:05:32.5945353Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5945363Z 2023-07-07T20:05:32.5945694Z [2023-07-07 20:05:10,290] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5946137Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5946148Z 2023-07-07T20:05:32.5946514Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5946995Z - self: 2023-07-07T20:05:32.5947346Z - node: fx.Node(getitem_12[call_function]'') 2023-07-07T20:05:32.5947545Z - aten_name: 2023-07-07T20:05:32.5947801Z - function_overloads: 2023-07-07T20:05:32.5948015Z - onnx_args: 2023-07-07T20:05:32.5948223Z - onnx_kwargs: 2023-07-07T20:05:32.5948832Z - diagnostic_context: 2023-07-07T20:05:32.5949091Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5949587Z [2023-07-07 20:05:10,291] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_13]. 2023-07-07T20:05:32.5949836Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5949847Z 2023-07-07T20:05:32.5951174Z [2023-07-07 20:05:10,291] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5951514Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5951525Z 2023-07-07T20:05:32.5951825Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5952295Z - self: 2023-07-07T20:05:32.5952637Z - node: fx.Node(getitem_13[call_function]'') 2023-07-07T20:05:32.5952826Z - aten_name: 2023-07-07T20:05:32.5953047Z - function_overloads: 2023-07-07T20:05:32.5953245Z - onnx_args: 2023-07-07T20:05:32.5953417Z - onnx_kwargs: 2023-07-07T20:05:32.5953949Z - diagnostic_context: 2023-07-07T20:05:32.5954229Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5954791Z [2023-07-07 20:05:10,293] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_14]. 2023-07-07T20:05:32.5955026Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5955038Z 2023-07-07T20:05:32.5955379Z [2023-07-07 20:05:10,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5955716Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5955735Z 2023-07-07T20:05:32.5956050Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5956504Z - self: 2023-07-07T20:05:32.5956846Z - node: fx.Node(getitem_14[call_function]'') 2023-07-07T20:05:32.5957043Z - aten_name: 2023-07-07T20:05:32.5957283Z - function_overloads: 2023-07-07T20:05:32.5957481Z - onnx_args: 2023-07-07T20:05:32.5957690Z - onnx_kwargs: 2023-07-07T20:05:32.5958475Z - diagnostic_context: 2023-07-07T20:05:32.5958739Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.5959205Z [2023-07-07 20:05:10,297] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_4]. 2023-07-07T20:05:32.5959436Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5959451Z 2023-07-07T20:05:32.5959799Z [2023-07-07 20:05:10,297] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5960142Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5960154Z 2023-07-07T20:05:32.5960571Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5961097Z - self: 2023-07-07T20:05:32.5961435Z - node: fx.Node(permute_4[call_function]'aten.permute.default') 2023-07-07T20:05:32.5961650Z - aten_name: 2023-07-07T20:05:32.5961886Z - function_overloads: 2023-07-07T20:05:32.5962077Z - onnx_args: 2023-07-07T20:05:32.5962326Z - onnx_kwargs: 2023-07-07T20:05:32.5962844Z - diagnostic_context: 2023-07-07T20:05:32.5963154Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5963642Z [2023-07-07 20:05:10,300] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_5]. 2023-07-07T20:05:32.5963875Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5963889Z 2023-07-07T20:05:32.5964256Z [2023-07-07 20:05:10,300] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5964730Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5964742Z 2023-07-07T20:05:32.5965049Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5965516Z - self: 2023-07-07T20:05:32.5965883Z - node: fx.Node(permute_5[call_function]'aten.permute.default') 2023-07-07T20:05:32.5966096Z - aten_name: 2023-07-07T20:05:32.5966342Z - function_overloads: 2023-07-07T20:05:32.5966548Z - onnx_args: 2023-07-07T20:05:32.5966754Z - onnx_kwargs: 2023-07-07T20:05:32.5967267Z - diagnostic_context: 2023-07-07T20:05:32.5967532Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5968003Z [2023-07-07 20:05:10,302] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_6]. 2023-07-07T20:05:32.5968229Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5968241Z 2023-07-07T20:05:32.5968591Z [2023-07-07 20:05:10,302] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5968959Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5968974Z 2023-07-07T20:05:32.5969306Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5969785Z - self: 2023-07-07T20:05:32.5970115Z - node: fx.Node(permute_6[call_function]'aten.permute.default') 2023-07-07T20:05:32.5970296Z - aten_name: 2023-07-07T20:05:32.5970500Z - function_overloads: 2023-07-07T20:05:32.5970693Z - onnx_args: 2023-07-07T20:05:32.5970893Z - onnx_kwargs: 2023-07-07T20:05:32.5971402Z - diagnostic_context: 2023-07-07T20:05:32.5971650Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.5972072Z [2023-07-07 20:05:10,303] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:32.5972293Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5972308Z 2023-07-07T20:05:32.5972633Z [2023-07-07 20:05:10,303] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5972971Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5972981Z 2023-07-07T20:05:32.5973282Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5973898Z - self: 2023-07-07T20:05:32.5974266Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:32.5974465Z - aten_name: 2023-07-07T20:05:32.5974698Z - function_overloads: 2023-07-07T20:05:32.5974879Z - onnx_args: 2023-07-07T20:05:32.5975080Z - onnx_kwargs: 2023-07-07T20:05:32.5975607Z - diagnostic_context: 2023-07-07T20:05:32.5976027Z - Return value: 2023-07-07T20:05:32.5976437Z [2023-07-07 20:05:10,312] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_2]. 2023-07-07T20:05:32.5976738Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5976750Z 2023-07-07T20:05:32.5977111Z [2023-07-07 20:05:10,312] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5977490Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5977502Z 2023-07-07T20:05:32.5977837Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5978322Z - self: 2023-07-07T20:05:32.5978657Z - node: fx.Node(full_2[call_function]'aten.full.default') 2023-07-07T20:05:32.5978859Z - aten_name: 2023-07-07T20:05:32.5979110Z - function_overloads: 2023-07-07T20:05:32.5979324Z - onnx_args: 2023-07-07T20:05:32.5979542Z - onnx_kwargs: 2023-07-07T20:05:32.5980125Z - diagnostic_context: 2023-07-07T20:05:32.5980378Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.5980843Z [2023-07-07 20:05:10,314] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:32.5981076Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5981086Z 2023-07-07T20:05:32.5981445Z [2023-07-07 20:05:10,314] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5981824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5981834Z 2023-07-07T20:05:32.5982179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5982611Z - self: 2023-07-07T20:05:32.5982866Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5983030Z - aten_name: 2023-07-07T20:05:32.5983230Z - function_overloads: 2023-07-07T20:05:32.5983395Z - onnx_args: 2023-07-07T20:05:32.5983583Z - onnx_kwargs: 2023-07-07T20:05:32.5984064Z - diagnostic_context: 2023-07-07T20:05:32.5984400Z - Return value: 2023-07-07T20:05:32.5984782Z [2023-07-07 20:05:10,317] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:32.5984985Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5984996Z 2023-07-07T20:05:32.5985310Z [2023-07-07 20:05:10,317] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5985644Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5985656Z 2023-07-07T20:05:32.5985940Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5986349Z - self: 2023-07-07T20:05:32.5986643Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5986904Z - aten_name: 2023-07-07T20:05:32.5987110Z - function_overloads: 2023-07-07T20:05:32.5987337Z - onnx_args: 2023-07-07T20:05:32.5987521Z - onnx_kwargs: 2023-07-07T20:05:32.5988018Z - diagnostic_context: 2023-07-07T20:05:32.5988339Z - Return value: 2023-07-07T20:05:32.5988768Z [2023-07-07 20:05:10,320] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:32.5989082Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5989128Z 2023-07-07T20:05:32.5989470Z [2023-07-07 20:05:10,320] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5989827Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5989837Z 2023-07-07T20:05:32.5990151Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5990613Z - self: 2023-07-07T20:05:32.5990917Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5991113Z - aten_name: 2023-07-07T20:05:32.5991301Z - function_overloads: 2023-07-07T20:05:32.5991493Z - onnx_args: 2023-07-07T20:05:32.5991684Z - onnx_kwargs: 2023-07-07T20:05:32.5992163Z - diagnostic_context: 2023-07-07T20:05:32.5992506Z - Return value: 2023-07-07T20:05:32.5992917Z [2023-07-07 20:05:10,322] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:32.5993126Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5993136Z 2023-07-07T20:05:32.5993467Z [2023-07-07 20:05:10,322] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5993782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5993790Z 2023-07-07T20:05:32.5994067Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5994496Z - self: 2023-07-07T20:05:32.5994891Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.5995086Z - aten_name: 2023-07-07T20:05:32.5995307Z - function_overloads: 2023-07-07T20:05:32.5995494Z - onnx_args: 2023-07-07T20:05:32.5995675Z - onnx_kwargs: 2023-07-07T20:05:32.5996137Z - diagnostic_context: 2023-07-07T20:05:32.5996458Z - Return value: 2023-07-07T20:05:32.5996950Z [2023-07-07 20:05:10,325] torch.onnx: [WARNING] FX Node: call_function:prims.convert_element_type.default[name=convert_element_type_2]. 2023-07-07T20:05:32.5997188Z ONNX Node: prims_convert_element_type[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.5997198Z 2023-07-07T20:05:32.5997514Z [2023-07-07 20:05:10,325] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.5997827Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.5997838Z 2023-07-07T20:05:32.5998113Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.5998529Z - self: 2023-07-07T20:05:32.5998899Z - node: fx.Node(convert_element_type_2[call_function]'prims.convert_element_type.default') 2023-07-07T20:05:32.5999072Z - aten_name: 2023-07-07T20:05:32.5999358Z - function_overloads: 2023-07-07T20:05:32.5999545Z - onnx_args: 2023-07-07T20:05:32.5999799Z - onnx_kwargs: 2023-07-07T20:05:32.6000301Z - diagnostic_context: 2023-07-07T20:05:32.6000601Z - Return value: `OnnxFunction(prims_convert_element_type)` 2023-07-07T20:05:32.6001012Z [2023-07-07 20:05:10,326] torch.onnx: [WARNING] FX Node: call_function:aten.full.default[name=full_3]. 2023-07-07T20:05:32.6001244Z ONNX Node: aten_full[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6001267Z 2023-07-07T20:05:32.6001565Z [2023-07-07 20:05:10,326] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6001929Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6001938Z 2023-07-07T20:05:32.6002233Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6002677Z - self: 2023-07-07T20:05:32.6002963Z - node: fx.Node(full_3[call_function]'aten.full.default') 2023-07-07T20:05:32.6003139Z - aten_name: 2023-07-07T20:05:32.6003351Z - function_overloads: 2023-07-07T20:05:32.6003544Z - onnx_args: 2023-07-07T20:05:32.6003714Z - onnx_kwargs: 2023-07-07T20:05:32.6004196Z - diagnostic_context: 2023-07-07T20:05:32.6004562Z - Return value: `OnnxFunction(aten_full)` 2023-07-07T20:05:32.6004973Z [2023-07-07 20:05:10,330] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax_1]. 2023-07-07T20:05:32.6005194Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6005204Z 2023-07-07T20:05:32.6005534Z [2023-07-07 20:05:10,330] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6005866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6005878Z 2023-07-07T20:05:32.6006178Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6006602Z - self: 2023-07-07T20:05:32.6006890Z - node: fx.Node(amax_1[call_function]'aten.amax.default') 2023-07-07T20:05:32.6007073Z - aten_name: 2023-07-07T20:05:32.6007292Z - function_overloads: 2023-07-07T20:05:32.6007475Z - onnx_args: 2023-07-07T20:05:32.6007663Z - onnx_kwargs: 2023-07-07T20:05:32.6008140Z - diagnostic_context: 2023-07-07T20:05:32.6008377Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.6008755Z [2023-07-07 20:05:10,333] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_2]. 2023-07-07T20:05:32.6008989Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6009002Z 2023-07-07T20:05:32.6009299Z [2023-07-07 20:05:10,333] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6009608Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6009617Z 2023-07-07T20:05:32.6009897Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6010304Z - self: 2023-07-07T20:05:32.6010580Z - node: fx.Node(sum_2[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.6010749Z - aten_name: 2023-07-07T20:05:32.6010936Z - function_overloads: 2023-07-07T20:05:32.6011116Z - onnx_args: 2023-07-07T20:05:32.6011305Z - onnx_kwargs: 2023-07-07T20:05:32.6011887Z - diagnostic_context: 2023-07-07T20:05:32.6012297Z - Return value: 2023-07-07T20:05:32.6012733Z [2023-07-07 20:05:10,346] torch.onnx: [WARNING] FX Node: call_function:aten.permute.default[name=permute_7]. 2023-07-07T20:05:32.6013293Z ONNX Node: aten_permute[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6013544Z 2023-07-07T20:05:32.6013857Z [2023-07-07 20:05:10,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6014479Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6014887Z 2023-07-07T20:05:32.6015190Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6015966Z - self: 2023-07-07T20:05:32.6016643Z - node: fx.Node(permute_7[call_function]'aten.permute.default') 2023-07-07T20:05:32.6017106Z - aten_name: 2023-07-07T20:05:32.6017544Z - function_overloads: 2023-07-07T20:05:32.6017948Z - onnx_args: 2023-07-07T20:05:32.6018341Z - onnx_kwargs: 2023-07-07T20:05:32.6019069Z - diagnostic_context: 2023-07-07T20:05:32.6019776Z - Return value: `OnnxFunction(aten_permute)` 2023-07-07T20:05:32.6020428Z [2023-07-07 20:05:10,347] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:32.6020964Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6021245Z 2023-07-07T20:05:32.6021576Z [2023-07-07 20:05:10,347] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6022143Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6022532Z 2023-07-07T20:05:32.6022859Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6023662Z - self: 2023-07-07T20:05:32.6024346Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:32.6024812Z - aten_name: 2023-07-07T20:05:32.6025259Z - function_overloads: 2023-07-07T20:05:32.6025687Z - onnx_args: 2023-07-07T20:05:32.6026082Z - onnx_kwargs: 2023-07-07T20:05:32.6026826Z - diagnostic_context: 2023-07-07T20:05:32.6027516Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.6028179Z [2023-07-07 20:05:10,355] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_3]. 2023-07-07T20:05:32.6028751Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6029044Z 2023-07-07T20:05:32.6029360Z [2023-07-07 20:05:10,355] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6029948Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6030294Z 2023-07-07T20:05:32.6030575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6031327Z - self: 2023-07-07T20:05:32.6032038Z - node: fx.Node(native_layer_norm_3[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.6032489Z - aten_name: 2023-07-07T20:05:32.6032897Z - function_overloads: 2023-07-07T20:05:32.6033285Z - onnx_args: 2023-07-07T20:05:32.6033655Z - onnx_kwargs: 2023-07-07T20:05:32.6034381Z - diagnostic_context: 2023-07-07T20:05:32.6035373Z - Return value: 2023-07-07T20:05:32.6036214Z [2023-07-07 20:05:10,379] torch.onnx: [WARNING] FX Node: call_function:aten.native_layer_norm.default[name=native_layer_norm_4]. 2023-07-07T20:05:32.6036820Z ONNX Node: aten_native_layer_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6037126Z 2023-07-07T20:05:32.6037457Z [2023-07-07 20:05:10,379] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6038079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6038428Z 2023-07-07T20:05:32.6038759Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6039546Z - self: 2023-07-07T20:05:32.6040299Z - node: fx.Node(native_layer_norm_4[call_function]'aten.native_layer_norm.default') 2023-07-07T20:05:32.6040803Z - aten_name: 2023-07-07T20:05:32.6041212Z - function_overloads: 2023-07-07T20:05:32.6041632Z - onnx_args: 2023-07-07T20:05:32.6042033Z - onnx_kwargs: 2023-07-07T20:05:32.6042700Z - diagnostic_context: 2023-07-07T20:05:32.6043453Z - Return value: 2023-07-07T20:05:32.6045176Z 2023-07-07 20:05:10.587049766 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wte_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6047422Z 2023-07-07 20:05:10.587086200 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wpe_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6049598Z 2023-07-07 20:05:10.587092927 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6051810Z 2023-07-07 20:05:10.587098868 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6053956Z 2023-07-07 20:05:10.587105147 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6056262Z 2023-07-07 20:05:10.587113029 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6058489Z 2023-07-07 20:05:10.587119105 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6060839Z 2023-07-07 20:05:10.587124959 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6063077Z 2023-07-07 20:05:10.587130568 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6065205Z 2023-07-07 20:05:10.587136215 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6067318Z 2023-07-07 20:05:10.587144517 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6069445Z 2023-07-07 20:05:10.587150429 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6071621Z 2023-07-07 20:05:10.587156496 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6073771Z 2023-07-07 20:05:10.587162256 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6076210Z 2023-07-07 20:05:10.587167987 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6078419Z 2023-07-07 20:05:10.587173683 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6080744Z 2023-07-07 20:05:10.587179497 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6082994Z 2023-07-07 20:05:10.587185333 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6085451Z 2023-07-07 20:05:10.587192637 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6087759Z 2023-07-07 20:05:10.587198307 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6090101Z 2023-07-07 20:05:10.587205838 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6092357Z 2023-07-07 20:05:10.587211640 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6094295Z 2023-07-07 20:05:10.587217387 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6096605Z 2023-07-07 20:05:10.587223362 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6099004Z 2023-07-07 20:05:10.587229218 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6101502Z 2023-07-07 20:05:10.587234977 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6104030Z 2023-07-07 20:05:10.587240882 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6106598Z 2023-07-07 20:05:10.587247572 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6108789Z 2023-07-07 20:05:10.587253231 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6111075Z 2023-07-07 20:05:10.587261345 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6112730Z 2023-07-07 20:05:10.587269569 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'wte_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6114821Z 2023-07-07 20:05:10.587275844 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wte_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6116532Z 2023-07-07 20:05:10.587281523 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'wpe_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6118692Z 2023-07-07 20:05:10.587286894 [W:onnxruntime:, graph.cc:1283 Graph] Initializer wpe_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6120334Z 2023-07-07 20:05:10.587292424 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_1_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6122059Z 2023-07-07 20:05:10.587297715 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6123518Z 2023-07-07 20:05:10.587303091 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_1_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6125602Z 2023-07-07 20:05:10.587308400 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6127307Z 2023-07-07 20:05:10.587313891 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6129346Z 2023-07-07 20:05:10.587319311 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6131041Z 2023-07-07 20:05:10.587326830 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_attn_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6133001Z 2023-07-07 20:05:10.587334227 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6134744Z 2023-07-07 20:05:10.587339936 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6137050Z 2023-07-07 20:05:10.587345271 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6138911Z 2023-07-07 20:05:10.587350811 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6141165Z 2023-07-07 20:05:10.587356153 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6143087Z 2023-07-07 20:05:10.587361614 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_attn_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6145157Z 2023-07-07 20:05:10.587366944 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6147012Z 2023-07-07 20:05:10.587372475 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_2_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6149108Z 2023-07-07 20:05:10.587377737 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6150897Z 2023-07-07 20:05:10.587383186 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_ln_2_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6152844Z 2023-07-07 20:05:10.587388526 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6154794Z 2023-07-07 20:05:10.587393949 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_fc_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6156856Z 2023-07-07 20:05:10.587401179 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6158539Z 2023-07-07 20:05:10.587406660 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_fc_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6160430Z 2023-07-07 20:05:10.587411887 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6162139Z 2023-07-07 20:05:10.587417272 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6164205Z 2023-07-07 20:05:10.587422628 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6166126Z 2023-07-07 20:05:10.587428121 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_0_mlp_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6168131Z 2023-07-07 20:05:10.587433363 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_0_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6169759Z 2023-07-07 20:05:10.587438757 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_1_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6171776Z 2023-07-07 20:05:10.587444015 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6173579Z 2023-07-07 20:05:10.587449489 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_1_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6175615Z 2023-07-07 20:05:10.587464657 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6177432Z 2023-07-07 20:05:10.587470280 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6179571Z 2023-07-07 20:05:10.587477777 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6181464Z 2023-07-07 20:05:10.587484737 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_attn_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6183660Z 2023-07-07 20:05:10.587490214 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6185611Z 2023-07-07 20:05:10.587495974 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_attn_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6187673Z 2023-07-07 20:05:10.587501237 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_attn_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6189374Z 2023-07-07 20:05:10.587506728 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6191533Z 2023-07-07 20:05:10.587511968 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6193289Z 2023-07-07 20:05:10.587517506 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_attn_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6195316Z 2023-07-07 20:05:10.587522776 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_attn_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6197041Z 2023-07-07 20:05:10.587528198 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_2_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6199061Z 2023-07-07 20:05:10.587533476 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6200884Z 2023-07-07 20:05:10.587538891 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_ln_2_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6203133Z 2023-07-07 20:05:10.587544231 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_ln_2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6205028Z 2023-07-07 20:05:10.587551275 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_fc_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6207329Z 2023-07-07 20:05:10.587556556 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6209181Z 2023-07-07 20:05:10.587562146 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_fc_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6211118Z 2023-07-07 20:05:10.587567464 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_fc_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6212837Z 2023-07-07 20:05:10.587572901 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_proj_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6214811Z 2023-07-07 20:05:10.587578269 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6216593Z 2023-07-07 20:05:10.587583747 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'h_1_mlp_c_proj_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6218555Z 2023-07-07 20:05:10.587589003 [W:onnxruntime:, graph.cc:1283 Graph] Initializer h_1_mlp_c_proj_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6220340Z 2023-07-07 20:05:10.587594416 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'ln_f_weight' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6222472Z 2023-07-07 20:05:10.587599710 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6224428Z 2023-07-07 20:05:10.587605035 [W:onnxruntime:, graph.cc:1256 Graph] Duplicate initializer (dense, sparse or ConstantNode): 'ln_f_bias' the model will use the latest encountered initializer. Please, fix your model. 2023-07-07T20:05:32.6226428Z 2023-07-07 20:05:10.587610285 [W:onnxruntime:, graph.cc:1283 Graph] Initializer ln_f_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6228205Z 2023-07-07 20:05:10.594213546 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'lm_head_weight'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6229478Z 2023-07-07 20:05:10.594236992 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'transformer_h_0_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6230814Z 2023-07-07 20:05:10.594244095 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'h_0_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6232194Z 2023-07-07 20:05:10.594258298 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'transformer_h_1_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6233550Z 2023-07-07 20:05:10.594274173 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer 'h_1_attn_masked_bias'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6234192Z PASSED [2.2251s] [ 85%] 2023-07-07T20:05:32.6236463Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_large_scale_exporter_with_toy_mlp 2023-07-07 20:05:11.439756853 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc0_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6239173Z 2023-07-07 20:05:11.439781229 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc0_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6241542Z 2023-07-07 20:05:11.439787693 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc1_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6243868Z 2023-07-07 20:05:11.439793621 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc1_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6246468Z 2023-07-07 20:05:11.439799479 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc2_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6248911Z 2023-07-07 20:05:11.439805339 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc2_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6251454Z 2023-07-07 20:05:11.439816376 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc3_weight appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6253772Z 2023-07-07 20:05:11.439822136 [W:onnxruntime:, graph.cc:1283 Graph] Initializer fc3_bias appears in graph inputs and will not be treated as constant value/weight. This may prevent some of the graph optimizations, like const folding. Move it out of graph inputs if there is no need to override it, by either re-generating the model with latest exporter/converter or with the tool onnxruntime/tools/python/remove_initializer_from_input.py. 2023-07-07T20:05:32.6254842Z PASSED [0.1759s] [ 86%] 2023-07-07T20:05:32.6255981Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_log_sigmoid [2023-07-07 20:05:11,526] torch.onnx: [WARNING] FX Node: call_function:aten.new_zeros.default[name=new_zeros]. 2023-07-07T20:05:32.6256802Z ONNX Node: aten_new_zeros[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6257343Z ONNX Node: aten_new_zeros_dtype[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6257637Z 2023-07-07T20:05:32.6258000Z [2023-07-07 20:05:11,526] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6258645Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6259045Z 2023-07-07T20:05:32.6259374Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6260204Z - self: 2023-07-07T20:05:32.6260986Z - node: fx.Node(new_zeros[call_function]'aten.new_zeros.default') 2023-07-07T20:05:32.6261492Z - aten_name: 2023-07-07T20:05:32.6261937Z - function_overloads: 2023-07-07T20:05:32.6262390Z - onnx_args: 2023-07-07T20:05:32.6262805Z - onnx_kwargs: 2023-07-07T20:05:32.6263577Z - diagnostic_context: 2023-07-07T20:05:32.6264325Z - Return value: `OnnxFunction(aten_new_zeros)` 2023-07-07T20:05:32.6264689Z PASSED [0.0719s] [ 87%] 2023-07-07T20:05:32.6265335Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_matmul PASSED [0.0745s] [ 87%] 2023-07-07T20:05:32.6266704Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_mnist [2023-07-07 20:05:11,805] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.6267608Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6267902Z 2023-07-07T20:05:32.6268262Z [2023-07-07 20:05:11,805] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6268998Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6269402Z 2023-07-07T20:05:32.6269784Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6270683Z - self: 2023-07-07T20:05:32.6271502Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6272014Z - aten_name: 2023-07-07T20:05:32.6272514Z - function_overloads: 2023-07-07T20:05:32.6272955Z - onnx_args: 2023-07-07T20:05:32.6273367Z - onnx_kwargs: 2023-07-07T20:05:32.6274143Z - diagnostic_context: 2023-07-07T20:05:32.6275044Z - Return value: 2023-07-07T20:05:32.6275908Z [2023-07-07 20:05:11,810] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:32.6276551Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6276862Z 2023-07-07T20:05:32.6277215Z [2023-07-07 20:05:11,810] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6277881Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6278287Z 2023-07-07T20:05:32.6278607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6279454Z - self: 2023-07-07T20:05:32.6280223Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6280752Z - aten_name: 2023-07-07T20:05:32.6281198Z - function_overloads: 2023-07-07T20:05:32.6281627Z - onnx_args: 2023-07-07T20:05:32.6282044Z - onnx_kwargs: 2023-07-07T20:05:32.6282795Z - diagnostic_context: 2023-07-07T20:05:32.6283652Z - Return value: 2023-07-07T20:05:32.6284693Z [2023-07-07 20:05:11,814] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:32.6285397Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6285739Z 2023-07-07T20:05:32.6286103Z [2023-07-07 20:05:11,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6286754Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6287178Z 2023-07-07T20:05:32.6287508Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6288410Z - self: 2023-07-07T20:05:32.6289248Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:32.6289772Z - aten_name: 2023-07-07T20:05:32.6290217Z - function_overloads: 2023-07-07T20:05:32.6290650Z - onnx_args: 2023-07-07T20:05:32.6291081Z - onnx_kwargs: 2023-07-07T20:05:32.6291840Z - diagnostic_context: 2023-07-07T20:05:32.6292657Z - Return value: 2023-07-07T20:05:32.6293452Z [2023-07-07 20:05:11,826] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:32.6294041Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6294326Z 2023-07-07T20:05:32.6294683Z [2023-07-07 20:05:11,826] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6295456Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6295872Z 2023-07-07T20:05:32.6296296Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6297157Z - self: 2023-07-07T20:05:32.6297876Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:32.6298308Z - aten_name: 2023-07-07T20:05:32.6298781Z - function_overloads: 2023-07-07T20:05:32.6299123Z - onnx_args: 2023-07-07T20:05:32.6299496Z - onnx_kwargs: 2023-07-07T20:05:32.6300261Z - diagnostic_context: 2023-07-07T20:05:32.6300986Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:32.6301690Z [2023-07-07 20:05:11,829] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:32.6302322Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6302617Z 2023-07-07T20:05:32.6302960Z [2023-07-07 20:05:11,829] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6303610Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6303992Z 2023-07-07T20:05:32.6304284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6305102Z - self: 2023-07-07T20:05:32.6305792Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:32.6306262Z - aten_name: 2023-07-07T20:05:32.6306688Z - function_overloads: 2023-07-07T20:05:32.6307138Z - onnx_args: 2023-07-07T20:05:32.6307557Z - onnx_kwargs: 2023-07-07T20:05:32.6308261Z - diagnostic_context: 2023-07-07T20:05:32.6309098Z - Return value: 2023-07-07T20:05:32.6309565Z PASSED [0.3740s] [ 88%] 2023-07-07T20:05:32.6310216Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_mutation PASSED [0.0565s] [ 89%] 2023-07-07T20:05:32.6311076Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_none_input PASSED [0.0765s] [ 90%] 2023-07-07T20:05:32.6312468Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_resnet18 [2023-07-07 20:05:14,209] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.6313361Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6313683Z 2023-07-07T20:05:32.6314055Z [2023-07-07 20:05:14,209] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6314837Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6315264Z 2023-07-07T20:05:32.6315602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6316477Z - self: 2023-07-07T20:05:32.6317279Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6317812Z - aten_name: 2023-07-07T20:05:32.6318276Z - function_overloads: 2023-07-07T20:05:32.6318731Z - onnx_args: 2023-07-07T20:05:32.6319155Z - onnx_kwargs: 2023-07-07T20:05:32.6319945Z - diagnostic_context: 2023-07-07T20:05:32.6320812Z - Return value: 2023-07-07T20:05:32.6321821Z [2023-07-07 20:05:14,215] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm]. 2023-07-07T20:05:32.6322571Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6322885Z 2023-07-07T20:05:32.6323261Z [2023-07-07 20:05:14,215] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6323907Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6324637Z 2023-07-07T20:05:32.6324972Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6325968Z - self: 2023-07-07T20:05:32.6326723Z - node: fx.Node(native_batch_norm[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6327220Z - aten_name: 2023-07-07T20:05:32.6327670Z - function_overloads: 2023-07-07T20:05:32.6328121Z - onnx_args: 2023-07-07T20:05:32.6328506Z - onnx_kwargs: 2023-07-07T20:05:32.6329257Z - diagnostic_context: 2023-07-07T20:05:32.6330060Z - Return value: 2023-07-07T20:05:32.6330974Z [2023-07-07 20:05:14,220] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:32.6331617Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6331931Z 2023-07-07T20:05:32.6332272Z [2023-07-07 20:05:14,220] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6332871Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6333245Z 2023-07-07T20:05:32.6333556Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6334413Z - self: 2023-07-07T20:05:32.6335309Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:32.6335829Z - aten_name: 2023-07-07T20:05:32.6336275Z - function_overloads: 2023-07-07T20:05:32.6336700Z - onnx_args: 2023-07-07T20:05:32.6337042Z - onnx_kwargs: 2023-07-07T20:05:32.6337695Z - diagnostic_context: 2023-07-07T20:05:32.6338495Z - Return value: 2023-07-07T20:05:32.6339347Z [2023-07-07 20:05:14,222] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:32.6339955Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6340249Z 2023-07-07T20:05:32.6340617Z [2023-07-07 20:05:14,222] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6341269Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6341687Z 2023-07-07T20:05:32.6342005Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6342885Z - self: 2023-07-07T20:05:32.6343689Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6344190Z - aten_name: 2023-07-07T20:05:32.6344635Z - function_overloads: 2023-07-07T20:05:32.6345073Z - onnx_args: 2023-07-07T20:05:32.6345508Z - onnx_kwargs: 2023-07-07T20:05:32.6346236Z - diagnostic_context: 2023-07-07T20:05:32.6347022Z - Return value: 2023-07-07T20:05:32.6347966Z [2023-07-07 20:05:14,228] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_1]. 2023-07-07T20:05:32.6348572Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6348876Z 2023-07-07T20:05:32.6349215Z [2023-07-07 20:05:14,228] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6349807Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6350257Z 2023-07-07T20:05:32.6350568Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6351426Z - self: 2023-07-07T20:05:32.6352185Z - node: fx.Node(native_batch_norm_1[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6352698Z - aten_name: 2023-07-07T20:05:32.6353127Z - function_overloads: 2023-07-07T20:05:32.6353536Z - onnx_args: 2023-07-07T20:05:32.6353929Z - onnx_kwargs: 2023-07-07T20:05:32.6354744Z - diagnostic_context: 2023-07-07T20:05:32.6355547Z - Return value: 2023-07-07T20:05:32.6356360Z [2023-07-07 20:05:14,235] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:32.6356967Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6357272Z 2023-07-07T20:05:32.6357607Z [2023-07-07 20:05:14,235] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6358227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6358602Z 2023-07-07T20:05:32.6358916Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6359710Z - self: 2023-07-07T20:05:32.6360508Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6361011Z - aten_name: 2023-07-07T20:05:32.6361439Z - function_overloads: 2023-07-07T20:05:32.6361851Z - onnx_args: 2023-07-07T20:05:32.6362229Z - onnx_kwargs: 2023-07-07T20:05:32.6362958Z - diagnostic_context: 2023-07-07T20:05:32.6363771Z - Return value: 2023-07-07T20:05:32.6364747Z [2023-07-07 20:05:14,240] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_2]. 2023-07-07T20:05:32.6365354Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6365665Z 2023-07-07T20:05:32.6366025Z [2023-07-07 20:05:14,240] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6366628Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6367015Z 2023-07-07T20:05:32.6367316Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6368127Z - self: 2023-07-07T20:05:32.6368922Z - node: fx.Node(native_batch_norm_2[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6369414Z - aten_name: 2023-07-07T20:05:32.6369823Z - function_overloads: 2023-07-07T20:05:32.6370246Z - onnx_args: 2023-07-07T20:05:32.6370641Z - onnx_kwargs: 2023-07-07T20:05:32.6371335Z - diagnostic_context: 2023-07-07T20:05:32.6372257Z - Return value: 2023-07-07T20:05:32.6373166Z [2023-07-07 20:05:14,247] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:32.6373819Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6374111Z 2023-07-07T20:05:32.6374459Z [2023-07-07 20:05:14,247] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6375091Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6375599Z 2023-07-07T20:05:32.6375934Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6376836Z - self: 2023-07-07T20:05:32.6377555Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6378078Z - aten_name: 2023-07-07T20:05:32.6378500Z - function_overloads: 2023-07-07T20:05:32.6378892Z - onnx_args: 2023-07-07T20:05:32.6379281Z - onnx_kwargs: 2023-07-07T20:05:32.6380001Z - diagnostic_context: 2023-07-07T20:05:32.6380766Z - Return value: 2023-07-07T20:05:32.6381580Z [2023-07-07 20:05:14,252] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_3]. 2023-07-07T20:05:32.6382239Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6382560Z 2023-07-07T20:05:32.6382878Z [2023-07-07 20:05:14,252] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6383476Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6383847Z 2023-07-07T20:05:32.6384170Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6384994Z - self: 2023-07-07T20:05:32.6385786Z - node: fx.Node(native_batch_norm_3[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6386281Z - aten_name: 2023-07-07T20:05:32.6386715Z - function_overloads: 2023-07-07T20:05:32.6387157Z - onnx_args: 2023-07-07T20:05:32.6387553Z - onnx_kwargs: 2023-07-07T20:05:32.6388265Z - diagnostic_context: 2023-07-07T20:05:32.6389070Z - Return value: 2023-07-07T20:05:32.6389877Z [2023-07-07 20:05:14,257] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:32.6390493Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6390796Z 2023-07-07T20:05:32.6391150Z [2023-07-07 20:05:14,257] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6391764Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6392144Z 2023-07-07T20:05:32.6392468Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6393289Z - self: 2023-07-07T20:05:32.6394045Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6394548Z - aten_name: 2023-07-07T20:05:32.6395060Z - function_overloads: 2023-07-07T20:05:32.6395480Z - onnx_args: 2023-07-07T20:05:32.6395887Z - onnx_kwargs: 2023-07-07T20:05:32.6396597Z - diagnostic_context: 2023-07-07T20:05:32.6397412Z - Return value: 2023-07-07T20:05:32.6398390Z [2023-07-07 20:05:14,262] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_4]. 2023-07-07T20:05:32.6399004Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6399325Z 2023-07-07T20:05:32.6399679Z [2023-07-07 20:05:14,262] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6400293Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6400749Z 2023-07-07T20:05:32.6401063Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6401930Z - self: 2023-07-07T20:05:32.6402717Z - node: fx.Node(native_batch_norm_4[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6403244Z - aten_name: 2023-07-07T20:05:32.6403668Z - function_overloads: 2023-07-07T20:05:32.6404091Z - onnx_args: 2023-07-07T20:05:32.6404646Z - onnx_kwargs: 2023-07-07T20:05:32.6405397Z - diagnostic_context: 2023-07-07T20:05:32.6406211Z - Return value: 2023-07-07T20:05:32.6407032Z [2023-07-07 20:05:14,269] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:32.6407651Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6407948Z 2023-07-07T20:05:32.6408286Z [2023-07-07 20:05:14,269] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6408923Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6409308Z 2023-07-07T20:05:32.6409616Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6410432Z - self: 2023-07-07T20:05:32.6411205Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6411690Z - aten_name: 2023-07-07T20:05:32.6412107Z - function_overloads: 2023-07-07T20:05:32.6412501Z - onnx_args: 2023-07-07T20:05:32.6412894Z - onnx_kwargs: 2023-07-07T20:05:32.6413593Z - diagnostic_context: 2023-07-07T20:05:32.6414397Z - Return value: 2023-07-07T20:05:32.6415229Z [2023-07-07 20:05:14,274] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_5]. 2023-07-07T20:05:32.6415901Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6416224Z 2023-07-07T20:05:32.6416553Z [2023-07-07 20:05:14,274] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6417480Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6417884Z 2023-07-07T20:05:32.6418222Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6419058Z - self: 2023-07-07T20:05:32.6419824Z - node: fx.Node(native_batch_norm_5[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6420321Z - aten_name: 2023-07-07T20:05:32.6420748Z - function_overloads: 2023-07-07T20:05:32.6421166Z - onnx_args: 2023-07-07T20:05:32.6421546Z - onnx_kwargs: 2023-07-07T20:05:32.6422258Z - diagnostic_context: 2023-07-07T20:05:32.6423239Z - Return value: 2023-07-07T20:05:32.6424106Z [2023-07-07 20:05:14,280] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:32.6424724Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6425033Z 2023-07-07T20:05:32.6425395Z [2023-07-07 20:05:14,280] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6426022Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6426475Z 2023-07-07T20:05:32.6426776Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6427619Z - self: 2023-07-07T20:05:32.6428337Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6428816Z - aten_name: 2023-07-07T20:05:32.6429214Z - function_overloads: 2023-07-07T20:05:32.6429607Z - onnx_args: 2023-07-07T20:05:32.6430018Z - onnx_kwargs: 2023-07-07T20:05:32.6430772Z - diagnostic_context: 2023-07-07T20:05:32.6431601Z - Return value: 2023-07-07T20:05:32.6432462Z [2023-07-07 20:05:14,284] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_6]. 2023-07-07T20:05:32.6433108Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6433395Z 2023-07-07T20:05:32.6433723Z [2023-07-07 20:05:14,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6434306Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6434757Z 2023-07-07T20:05:32.6435073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6435876Z - self: 2023-07-07T20:05:32.6436700Z - node: fx.Node(native_batch_norm_6[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6437232Z - aten_name: 2023-07-07T20:05:32.6437670Z - function_overloads: 2023-07-07T20:05:32.6438107Z - onnx_args: 2023-07-07T20:05:32.6438540Z - onnx_kwargs: 2023-07-07T20:05:32.6439271Z - diagnostic_context: 2023-07-07T20:05:32.6440089Z - Return value: 2023-07-07T20:05:32.6440951Z [2023-07-07 20:05:14,286] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:32.6441568Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6441870Z 2023-07-07T20:05:32.6442245Z [2023-07-07 20:05:14,286] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6442869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6443281Z 2023-07-07T20:05:32.6443635Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6444570Z - self: 2023-07-07T20:05:32.6445302Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6445824Z - aten_name: 2023-07-07T20:05:32.6446267Z - function_overloads: 2023-07-07T20:05:32.6446715Z - onnx_args: 2023-07-07T20:05:32.6447115Z - onnx_kwargs: 2023-07-07T20:05:32.6447833Z - diagnostic_context: 2023-07-07T20:05:32.6448625Z - Return value: 2023-07-07T20:05:32.6449620Z [2023-07-07 20:05:14,291] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_7]. 2023-07-07T20:05:32.6450301Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6450622Z 2023-07-07T20:05:32.6450972Z [2023-07-07 20:05:14,291] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6451564Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6452049Z 2023-07-07T20:05:32.6452386Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6453286Z - self: 2023-07-07T20:05:32.6454150Z - node: fx.Node(native_batch_norm_7[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6454660Z - aten_name: 2023-07-07T20:05:32.6455125Z - function_overloads: 2023-07-07T20:05:32.6455565Z - onnx_args: 2023-07-07T20:05:32.6455966Z - onnx_kwargs: 2023-07-07T20:05:32.6456650Z - diagnostic_context: 2023-07-07T20:05:32.6457506Z - Return value: 2023-07-07T20:05:32.6458319Z [2023-07-07 20:05:14,298] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:32.6458955Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6459294Z 2023-07-07T20:05:32.6459673Z [2023-07-07 20:05:14,298] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6460354Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6460782Z 2023-07-07T20:05:32.6461131Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6462032Z - self: 2023-07-07T20:05:32.6462874Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6463430Z - aten_name: 2023-07-07T20:05:32.6463884Z - function_overloads: 2023-07-07T20:05:32.6464341Z - onnx_args: 2023-07-07T20:05:32.6464782Z - onnx_kwargs: 2023-07-07T20:05:32.6465573Z - diagnostic_context: 2023-07-07T20:05:32.6466381Z - Return value: 2023-07-07T20:05:32.6467270Z [2023-07-07 20:05:14,304] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_8]. 2023-07-07T20:05:32.6467942Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6468269Z 2023-07-07T20:05:32.6468656Z [2023-07-07 20:05:14,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6469334Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6469760Z 2023-07-07T20:05:32.6470106Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6470929Z - self: 2023-07-07T20:05:32.6471685Z - node: fx.Node(native_batch_norm_8[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6472225Z - aten_name: 2023-07-07T20:05:32.6472649Z - function_overloads: 2023-07-07T20:05:32.6473059Z - onnx_args: 2023-07-07T20:05:32.6473447Z - onnx_kwargs: 2023-07-07T20:05:32.6474179Z - diagnostic_context: 2023-07-07T20:05:32.6475076Z - Return value: 2023-07-07T20:05:32.6476080Z [2023-07-07 20:05:14,311] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:32.6476709Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6477007Z 2023-07-07T20:05:32.6477371Z [2023-07-07 20:05:14,311] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6478001Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6478440Z 2023-07-07T20:05:32.6478765Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6479644Z - self: 2023-07-07T20:05:32.6480413Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6480893Z - aten_name: 2023-07-07T20:05:32.6481319Z - function_overloads: 2023-07-07T20:05:32.6481744Z - onnx_args: 2023-07-07T20:05:32.6482154Z - onnx_kwargs: 2023-07-07T20:05:32.6482878Z - diagnostic_context: 2023-07-07T20:05:32.6483694Z - Return value: 2023-07-07T20:05:32.6484961Z [2023-07-07 20:05:14,315] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_9]. 2023-07-07T20:05:32.6485225Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6485237Z 2023-07-07T20:05:32.6485591Z [2023-07-07 20:05:14,315] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6485960Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6485972Z 2023-07-07T20:05:32.6486289Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6486768Z - self: 2023-07-07T20:05:32.6487173Z - node: fx.Node(native_batch_norm_9[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6487362Z - aten_name: 2023-07-07T20:05:32.6487575Z - function_overloads: 2023-07-07T20:05:32.6487769Z - onnx_args: 2023-07-07T20:05:32.6487969Z - onnx_kwargs: 2023-07-07T20:05:32.6488478Z - diagnostic_context: 2023-07-07T20:05:32.6488834Z - Return value: 2023-07-07T20:05:32.6489346Z [2023-07-07 20:05:14,322] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:32.6489596Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6489606Z 2023-07-07T20:05:32.6489973Z [2023-07-07 20:05:14,322] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6490359Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6490369Z 2023-07-07T20:05:32.6490698Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6491196Z - self: 2023-07-07T20:05:32.6491594Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6491806Z - aten_name: 2023-07-07T20:05:32.6492002Z - function_overloads: 2023-07-07T20:05:32.6492182Z - onnx_args: 2023-07-07T20:05:32.6492359Z - onnx_kwargs: 2023-07-07T20:05:32.6492813Z - diagnostic_context: 2023-07-07T20:05:32.6493129Z - Return value: 2023-07-07T20:05:32.6493790Z [2023-07-07 20:05:14,327] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_10]. 2023-07-07T20:05:32.6494034Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6494045Z 2023-07-07T20:05:32.6494342Z [2023-07-07 20:05:14,327] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6494657Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6494722Z 2023-07-07T20:05:32.6494999Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6495534Z - self: 2023-07-07T20:05:32.6495897Z - node: fx.Node(native_batch_norm_10[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6496083Z - aten_name: 2023-07-07T20:05:32.6496293Z - function_overloads: 2023-07-07T20:05:32.6496486Z - onnx_args: 2023-07-07T20:05:32.6496673Z - onnx_kwargs: 2023-07-07T20:05:32.6497191Z - diagnostic_context: 2023-07-07T20:05:32.6497544Z - Return value: 2023-07-07T20:05:32.6498036Z [2023-07-07 20:05:14,333] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:32.6498294Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6498306Z 2023-07-07T20:05:32.6498618Z [2023-07-07 20:05:14,333] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6498961Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6498971Z 2023-07-07T20:05:32.6499293Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6499781Z - self: 2023-07-07T20:05:32.6500197Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6500403Z - aten_name: 2023-07-07T20:05:32.6500646Z - function_overloads: 2023-07-07T20:05:32.6500865Z - onnx_args: 2023-07-07T20:05:32.6501071Z - onnx_kwargs: 2023-07-07T20:05:32.6501604Z - diagnostic_context: 2023-07-07T20:05:32.6501996Z - Return value: 2023-07-07T20:05:32.6502489Z [2023-07-07 20:05:14,337] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_11]. 2023-07-07T20:05:32.6502766Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6502778Z 2023-07-07T20:05:32.6503141Z [2023-07-07 20:05:14,337] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6503528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6503539Z 2023-07-07T20:05:32.6503887Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6504396Z - self: 2023-07-07T20:05:32.6504813Z - node: fx.Node(native_batch_norm_11[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6505024Z - aten_name: 2023-07-07T20:05:32.6505270Z - function_overloads: 2023-07-07T20:05:32.6505489Z - onnx_args: 2023-07-07T20:05:32.6505704Z - onnx_kwargs: 2023-07-07T20:05:32.6506283Z - diagnostic_context: 2023-07-07T20:05:32.6506685Z - Return value: 2023-07-07T20:05:32.6507361Z [2023-07-07 20:05:14,340] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:32.6507621Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6507631Z 2023-07-07T20:05:32.6508000Z [2023-07-07 20:05:14,340] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6508377Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6508429Z 2023-07-07T20:05:32.6508781Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6509330Z - self: 2023-07-07T20:05:32.6509737Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6509945Z - aten_name: 2023-07-07T20:05:32.6510193Z - function_overloads: 2023-07-07T20:05:32.6510397Z - onnx_args: 2023-07-07T20:05:32.6510620Z - onnx_kwargs: 2023-07-07T20:05:32.6511165Z - diagnostic_context: 2023-07-07T20:05:32.6511596Z - Return value: 2023-07-07T20:05:32.6512203Z [2023-07-07 20:05:14,344] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_12]. 2023-07-07T20:05:32.6512508Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6512517Z 2023-07-07T20:05:32.6512862Z [2023-07-07 20:05:14,344] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6513191Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6513202Z 2023-07-07T20:05:32.6513511Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6513953Z - self: 2023-07-07T20:05:32.6514353Z - node: fx.Node(native_batch_norm_12[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6514553Z - aten_name: 2023-07-07T20:05:32.6514877Z - function_overloads: 2023-07-07T20:05:32.6515084Z - onnx_args: 2023-07-07T20:05:32.6515283Z - onnx_kwargs: 2023-07-07T20:05:32.6515817Z - diagnostic_context: 2023-07-07T20:05:32.6516170Z - Return value: 2023-07-07T20:05:32.6516639Z [2023-07-07 20:05:14,351] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:32.6516884Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6516894Z 2023-07-07T20:05:32.6517242Z [2023-07-07 20:05:14,351] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6517598Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6517609Z 2023-07-07T20:05:32.6517917Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6518380Z - self: 2023-07-07T20:05:32.6518756Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6518954Z - aten_name: 2023-07-07T20:05:32.6519173Z - function_overloads: 2023-07-07T20:05:32.6519385Z - onnx_args: 2023-07-07T20:05:32.6519595Z - onnx_kwargs: 2023-07-07T20:05:32.6520126Z - diagnostic_context: 2023-07-07T20:05:32.6520505Z - Return value: 2023-07-07T20:05:32.6521170Z [2023-07-07 20:05:14,355] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_13]. 2023-07-07T20:05:32.6521446Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6521457Z 2023-07-07T20:05:32.6521822Z [2023-07-07 20:05:14,355] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6522172Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6522239Z 2023-07-07T20:05:32.6522542Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6523076Z - self: 2023-07-07T20:05:32.6523457Z - node: fx.Node(native_batch_norm_13[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6523652Z - aten_name: 2023-07-07T20:05:32.6523884Z - function_overloads: 2023-07-07T20:05:32.6524088Z - onnx_args: 2023-07-07T20:05:32.6524297Z - onnx_kwargs: 2023-07-07T20:05:32.6525017Z - diagnostic_context: 2023-07-07T20:05:32.6525378Z - Return value: 2023-07-07T20:05:32.6525865Z [2023-07-07 20:05:14,361] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:32.6526129Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6526140Z 2023-07-07T20:05:32.6526496Z [2023-07-07 20:05:14,361] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6526854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6526865Z 2023-07-07T20:05:32.6527178Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6527644Z - self: 2023-07-07T20:05:32.6528031Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6528219Z - aten_name: 2023-07-07T20:05:32.6528459Z - function_overloads: 2023-07-07T20:05:32.6528666Z - onnx_args: 2023-07-07T20:05:32.6528881Z - onnx_kwargs: 2023-07-07T20:05:32.6529417Z - diagnostic_context: 2023-07-07T20:05:32.6529774Z - Return value: 2023-07-07T20:05:32.6530285Z [2023-07-07 20:05:14,365] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_14]. 2023-07-07T20:05:32.6530542Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6530552Z 2023-07-07T20:05:32.6530872Z [2023-07-07 20:05:14,366] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6531222Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6531232Z 2023-07-07T20:05:32.6531540Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6532012Z - self: 2023-07-07T20:05:32.6532409Z - node: fx.Node(native_batch_norm_14[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6532604Z - aten_name: 2023-07-07T20:05:32.6532838Z - function_overloads: 2023-07-07T20:05:32.6533046Z - onnx_args: 2023-07-07T20:05:32.6533238Z - onnx_kwargs: 2023-07-07T20:05:32.6533780Z - diagnostic_context: 2023-07-07T20:05:32.6534149Z - Return value: 2023-07-07T20:05:32.6534844Z [2023-07-07 20:05:14,373] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:32.6535114Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6535127Z 2023-07-07T20:05:32.6535494Z [2023-07-07 20:05:14,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6535861Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6535947Z 2023-07-07T20:05:32.6536234Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6536772Z - self: 2023-07-07T20:05:32.6537144Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6537341Z - aten_name: 2023-07-07T20:05:32.6537567Z - function_overloads: 2023-07-07T20:05:32.6537770Z - onnx_args: 2023-07-07T20:05:32.6537979Z - onnx_kwargs: 2023-07-07T20:05:32.6538504Z - diagnostic_context: 2023-07-07T20:05:32.6538892Z - Return value: 2023-07-07T20:05:32.6539407Z [2023-07-07 20:05:14,379] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_15]. 2023-07-07T20:05:32.6539669Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6539680Z 2023-07-07T20:05:32.6540017Z [2023-07-07 20:05:14,379] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6540375Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6540386Z 2023-07-07T20:05:32.6540711Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6541202Z - self: 2023-07-07T20:05:32.6541596Z - node: fx.Node(native_batch_norm_15[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6541797Z - aten_name: 2023-07-07T20:05:32.6542026Z - function_overloads: 2023-07-07T20:05:32.6542217Z - onnx_args: 2023-07-07T20:05:32.6542430Z - onnx_kwargs: 2023-07-07T20:05:32.6542979Z - diagnostic_context: 2023-07-07T20:05:32.6543372Z - Return value: 2023-07-07T20:05:32.6543896Z [2023-07-07 20:05:14,386] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:32.6544140Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6544153Z 2023-07-07T20:05:32.6544507Z [2023-07-07 20:05:14,386] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6544872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6544884Z 2023-07-07T20:05:32.6545217Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6545692Z - self: 2023-07-07T20:05:32.6546067Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6546273Z - aten_name: 2023-07-07T20:05:32.6546498Z - function_overloads: 2023-07-07T20:05:32.6546699Z - onnx_args: 2023-07-07T20:05:32.6546899Z - onnx_kwargs: 2023-07-07T20:05:32.6547444Z - diagnostic_context: 2023-07-07T20:05:32.6547818Z - Return value: 2023-07-07T20:05:32.6548780Z [2023-07-07 20:05:14,390] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_16]. 2023-07-07T20:05:32.6549067Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6549080Z 2023-07-07T20:05:32.6549445Z [2023-07-07 20:05:14,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6549810Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6549880Z 2023-07-07T20:05:32.6550210Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6550738Z - self: 2023-07-07T20:05:32.6551132Z - node: fx.Node(native_batch_norm_16[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6551329Z - aten_name: 2023-07-07T20:05:32.6551551Z - function_overloads: 2023-07-07T20:05:32.6551752Z - onnx_args: 2023-07-07T20:05:32.6551954Z - onnx_kwargs: 2023-07-07T20:05:32.6552469Z - diagnostic_context: 2023-07-07T20:05:32.6552838Z - Return value: 2023-07-07T20:05:32.6553374Z [2023-07-07 20:05:14,392] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:32.6553633Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6553643Z 2023-07-07T20:05:32.6553982Z [2023-07-07 20:05:14,393] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6554340Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6554351Z 2023-07-07T20:05:32.6554751Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6555241Z - self: 2023-07-07T20:05:32.6555637Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6555840Z - aten_name: 2023-07-07T20:05:32.6556066Z - function_overloads: 2023-07-07T20:05:32.6556260Z - onnx_args: 2023-07-07T20:05:32.6556456Z - onnx_kwargs: 2023-07-07T20:05:32.6556939Z - diagnostic_context: 2023-07-07T20:05:32.6557300Z - Return value: 2023-07-07T20:05:32.6557817Z [2023-07-07 20:05:14,397] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_17]. 2023-07-07T20:05:32.6558087Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6558097Z 2023-07-07T20:05:32.6558456Z [2023-07-07 20:05:14,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6558832Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6558843Z 2023-07-07T20:05:32.6559167Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6559640Z - self: 2023-07-07T20:05:32.6560029Z - node: fx.Node(native_batch_norm_17[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6560230Z - aten_name: 2023-07-07T20:05:32.6560467Z - function_overloads: 2023-07-07T20:05:32.6560665Z - onnx_args: 2023-07-07T20:05:32.6560870Z - onnx_kwargs: 2023-07-07T20:05:32.6561429Z - diagnostic_context: 2023-07-07T20:05:32.6561913Z - Return value: 2023-07-07T20:05:32.6562503Z [2023-07-07 20:05:14,405] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:32.6562765Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6562778Z 2023-07-07T20:05:32.6563118Z [2023-07-07 20:05:14,405] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6563454Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6563520Z 2023-07-07T20:05:32.6563870Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6564548Z - self: 2023-07-07T20:05:32.6564929Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6565131Z - aten_name: 2023-07-07T20:05:32.6565364Z - function_overloads: 2023-07-07T20:05:32.6565575Z - onnx_args: 2023-07-07T20:05:32.6565766Z - onnx_kwargs: 2023-07-07T20:05:32.6566308Z - diagnostic_context: 2023-07-07T20:05:32.6566685Z - Return value: 2023-07-07T20:05:32.6567227Z [2023-07-07 20:05:14,409] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_18]. 2023-07-07T20:05:32.6567506Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6567516Z 2023-07-07T20:05:32.6567876Z [2023-07-07 20:05:14,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6568241Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6568251Z 2023-07-07T20:05:32.6568584Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6569336Z - self: 2023-07-07T20:05:32.6569738Z - node: fx.Node(native_batch_norm_18[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6569937Z - aten_name: 2023-07-07T20:05:32.6570170Z - function_overloads: 2023-07-07T20:05:32.6570376Z - onnx_args: 2023-07-07T20:05:32.6570580Z - onnx_kwargs: 2023-07-07T20:05:32.6571133Z - diagnostic_context: 2023-07-07T20:05:32.6583576Z - Return value: 2023-07-07T20:05:32.6584208Z [2023-07-07 20:05:14,415] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:32.6584470Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6584482Z 2023-07-07T20:05:32.6584844Z [2023-07-07 20:05:14,415] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6585234Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6585245Z 2023-07-07T20:05:32.6585578Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6586050Z - self: 2023-07-07T20:05:32.6586431Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6586649Z - aten_name: 2023-07-07T20:05:32.6586885Z - function_overloads: 2023-07-07T20:05:32.6587076Z - onnx_args: 2023-07-07T20:05:32.6587285Z - onnx_kwargs: 2023-07-07T20:05:32.6587826Z - diagnostic_context: 2023-07-07T20:05:32.6588200Z - Return value: 2023-07-07T20:05:32.6588938Z [2023-07-07 20:05:14,419] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_19]. 2023-07-07T20:05:32.6589218Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6589230Z 2023-07-07T20:05:32.6589568Z [2023-07-07 20:05:14,419] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6589928Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6590000Z 2023-07-07T20:05:32.6590340Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6590908Z - self: 2023-07-07T20:05:32.6591302Z - node: fx.Node(native_batch_norm_19[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6591504Z - aten_name: 2023-07-07T20:05:32.6591746Z - function_overloads: 2023-07-07T20:05:32.6591934Z - onnx_args: 2023-07-07T20:05:32.6592134Z - onnx_kwargs: 2023-07-07T20:05:32.6592679Z - diagnostic_context: 2023-07-07T20:05:32.6593066Z - Return value: 2023-07-07T20:05:32.6593500Z [2023-07-07 20:05:14,426] torch.onnx: [WARNING] FX Node: call_function:aten.mean.dim[name=mean]. 2023-07-07T20:05:32.6593745Z ONNX Node: aten_mean_dim[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6593756Z 2023-07-07T20:05:32.6594121Z [2023-07-07 20:05:14,426] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6594496Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6594509Z 2023-07-07T20:05:32.6594927Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6595408Z - self: 2023-07-07T20:05:32.6595714Z - node: fx.Node(mean[call_function]'aten.mean.dim') 2023-07-07T20:05:32.6595921Z - aten_name: 2023-07-07T20:05:32.6596162Z - function_overloads: 2023-07-07T20:05:32.6596365Z - onnx_args: 2023-07-07T20:05:32.6596584Z - onnx_kwargs: 2023-07-07T20:05:32.6597121Z - diagnostic_context: 2023-07-07T20:05:32.6597373Z - Return value: `OnnxFunction(aten_mean_dim)` 2023-07-07T20:05:32.6598120Z 2023-07-07 20:05:14.900629664 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '434'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6598906Z 2023-07-07 20:05:14.900656097 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '412'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6599606Z 2023-07-07 20:05:14.900663800 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '348'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6600312Z 2023-07-07 20:05:14.900670127 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '280'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6601038Z 2023-07-07 20:05:14.900676960 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '239'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6601801Z 2023-07-07 20:05:14.900682791 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '216'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6602607Z 2023-07-07 20:05:14.900688810 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '194'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6603383Z 2023-07-07 20:05:14.900695071 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '152'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6604123Z 2023-07-07 20:05:14.900701393 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '130'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6605088Z 2023-07-07 20:05:14.900709094 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '107'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6605895Z 2023-07-07 20:05:14.900714486 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '370'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6606630Z 2023-07-07 20:05:14.900725364 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '62'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6607366Z 2023-07-07 20:05:14.900734736 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '303'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6608082Z 2023-07-07 20:05:14.900741775 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '171'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6608804Z 2023-07-07 20:05:14.900750059 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '16'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6609560Z 2023-07-07 20:05:14.900766877 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '389'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6610280Z 2023-07-07 20:05:14.900772248 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '261'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6611016Z 2023-07-07 20:05:14.900778311 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '325'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6611738Z 2023-07-07 20:05:14.900787065 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '40'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6612461Z 2023-07-07 20:05:14.900798528 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '85'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.6612601Z PASSED [3.9624s] [ 91%] 2023-07-07T20:05:32.6613572Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_scalar_tensor [2023-07-07 20:05:16,139] torch.onnx: [WARNING] FX Node: call_function:aten.scalar_tensor.default[name=scalar_tensor]. 2023-07-07T20:05:32.6613847Z ONNX Node: aten_scalar_tensor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6613859Z 2023-07-07T20:05:32.6614227Z [2023-07-07 20:05:16,140] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6614572Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6614586Z 2023-07-07T20:05:32.6614889Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6615363Z - self: 2023-07-07T20:05:32.6615742Z - node: fx.Node(scalar_tensor[call_function]'aten.scalar_tensor.default') 2023-07-07T20:05:32.6615945Z - aten_name: 2023-07-07T20:05:32.6616305Z - function_overloads: 2023-07-07T20:05:32.6616527Z - onnx_args: 2023-07-07T20:05:32.6616803Z - onnx_kwargs: 2023-07-07T20:05:32.6617334Z - diagnostic_context: 2023-07-07T20:05:32.6617631Z - Return value: `OnnxFunction(aten_scalar_tensor)` 2023-07-07T20:05:32.6618138Z [2023-07-07 20:05:16,141] torch.onnx: [WARNING] FX Node: call_function:aten.scalar_tensor.default[name=scalar_tensor_1]. 2023-07-07T20:05:32.6618485Z ONNX Node: aten_scalar_tensor[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6618496Z 2023-07-07T20:05:32.6618896Z [2023-07-07 20:05:16,141] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6619267Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6619279Z 2023-07-07T20:05:32.6619618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6620110Z - self: 2023-07-07T20:05:32.6620503Z - node: fx.Node(scalar_tensor_1[call_function]'aten.scalar_tensor.default') 2023-07-07T20:05:32.6620687Z - aten_name: 2023-07-07T20:05:32.6620930Z - function_overloads: 2023-07-07T20:05:32.6621128Z - onnx_args: 2023-07-07T20:05:32.6621311Z - onnx_kwargs: 2023-07-07T20:05:32.6621831Z - diagnostic_context: 2023-07-07T20:05:32.6622125Z - Return value: `OnnxFunction(aten_scalar_tensor)` 2023-07-07T20:05:32.6622273Z PASSED [0.0503s] [ 92%] 2023-07-07T20:05:32.6623238Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_shufflenet_v2 [2023-07-07 20:05:21,274] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.6623457Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6623487Z 2023-07-07T20:05:32.6623810Z [2023-07-07 20:05:21,274] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6624126Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6624134Z 2023-07-07T20:05:32.6624426Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6624860Z - self: 2023-07-07T20:05:32.6625222Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6625435Z - aten_name: 2023-07-07T20:05:32.6625681Z - function_overloads: 2023-07-07T20:05:32.6625904Z - onnx_args: 2023-07-07T20:05:32.6626103Z - onnx_kwargs: 2023-07-07T20:05:32.6626647Z - diagnostic_context: 2023-07-07T20:05:32.6627031Z - Return value: 2023-07-07T20:05:32.6627545Z [2023-07-07 20:05:21,279] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm]. 2023-07-07T20:05:32.6627795Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6627805Z 2023-07-07T20:05:32.6628128Z [2023-07-07 20:05:21,279] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6628469Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6628483Z 2023-07-07T20:05:32.6628787Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6629231Z - self: 2023-07-07T20:05:32.6629739Z - node: fx.Node(native_batch_norm[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6629940Z - aten_name: 2023-07-07T20:05:32.6630206Z - function_overloads: 2023-07-07T20:05:32.6630415Z - onnx_args: 2023-07-07T20:05:32.6630622Z - onnx_kwargs: 2023-07-07T20:05:32.6631153Z - diagnostic_context: 2023-07-07T20:05:32.6631512Z - Return value: 2023-07-07T20:05:32.6632077Z [2023-07-07 20:05:21,284] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:32.6632405Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6632417Z 2023-07-07T20:05:32.6632768Z [2023-07-07 20:05:21,284] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6633123Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6633134Z 2023-07-07T20:05:32.6633445Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6633959Z - self: 2023-07-07T20:05:32.6634385Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:32.6634584Z - aten_name: 2023-07-07T20:05:32.6635539Z - function_overloads: 2023-07-07T20:05:32.6635730Z - onnx_args: 2023-07-07T20:05:32.6635911Z - onnx_kwargs: 2023-07-07T20:05:32.6636438Z - diagnostic_context: 2023-07-07T20:05:32.6636816Z - Return value: 2023-07-07T20:05:32.6637313Z [2023-07-07 20:05:21,286] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:32.6637570Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6637586Z 2023-07-07T20:05:32.6637945Z [2023-07-07 20:05:21,287] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6638550Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6638563Z 2023-07-07T20:05:32.6638857Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6639351Z - self: 2023-07-07T20:05:32.6639709Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6639890Z - aten_name: 2023-07-07T20:05:32.6640099Z - function_overloads: 2023-07-07T20:05:32.6640285Z - onnx_args: 2023-07-07T20:05:32.6640479Z - onnx_kwargs: 2023-07-07T20:05:32.6641025Z - diagnostic_context: 2023-07-07T20:05:32.6641400Z - Return value: 2023-07-07T20:05:32.6641955Z [2023-07-07 20:05:21,291] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_1]. 2023-07-07T20:05:32.6642241Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6642257Z 2023-07-07T20:05:32.6642631Z [2023-07-07 20:05:21,291] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6643006Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6643022Z 2023-07-07T20:05:32.6643357Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6643825Z - self: 2023-07-07T20:05:32.6644348Z - node: fx.Node(native_batch_norm_1[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6644752Z - aten_name: 2023-07-07T20:05:32.6644990Z - function_overloads: 2023-07-07T20:05:32.6645207Z - onnx_args: 2023-07-07T20:05:32.6645415Z - onnx_kwargs: 2023-07-07T20:05:32.6645913Z - diagnostic_context: 2023-07-07T20:05:32.6646369Z - Return value: 2023-07-07T20:05:32.6646870Z [2023-07-07 20:05:21,293] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_2]. 2023-07-07T20:05:32.6647200Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6647212Z 2023-07-07T20:05:32.6647546Z [2023-07-07 20:05:21,293] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6647896Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6647923Z 2023-07-07T20:05:32.6648229Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6648698Z - self: 2023-07-07T20:05:32.6649063Z - node: fx.Node(convolution_2[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6649263Z - aten_name: 2023-07-07T20:05:32.6649497Z - function_overloads: 2023-07-07T20:05:32.6649700Z - onnx_args: 2023-07-07T20:05:32.6649908Z - onnx_kwargs: 2023-07-07T20:05:32.6650439Z - diagnostic_context: 2023-07-07T20:05:32.6650825Z - Return value: 2023-07-07T20:05:32.6651324Z [2023-07-07 20:05:21,298] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_2]. 2023-07-07T20:05:32.6651600Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6651613Z 2023-07-07T20:05:32.6651977Z [2023-07-07 20:05:21,298] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6652352Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6652364Z 2023-07-07T20:05:32.6652673Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6653153Z - self: 2023-07-07T20:05:32.6653572Z - node: fx.Node(native_batch_norm_2[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6653750Z - aten_name: 2023-07-07T20:05:32.6653969Z - function_overloads: 2023-07-07T20:05:32.6654166Z - onnx_args: 2023-07-07T20:05:32.6654376Z - onnx_kwargs: 2023-07-07T20:05:32.6654941Z - diagnostic_context: 2023-07-07T20:05:32.6655349Z - Return value: 2023-07-07T20:05:32.6655876Z [2023-07-07 20:05:21,304] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_3]. 2023-07-07T20:05:32.6656153Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6656167Z 2023-07-07T20:05:32.6656517Z [2023-07-07 20:05:21,304] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6656891Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6656905Z 2023-07-07T20:05:32.6657244Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6657700Z - self: 2023-07-07T20:05:32.6658212Z - node: fx.Node(convolution_3[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6658473Z - aten_name: 2023-07-07T20:05:32.6658717Z - function_overloads: 2023-07-07T20:05:32.6658935Z - onnx_args: 2023-07-07T20:05:32.6659138Z - onnx_kwargs: 2023-07-07T20:05:32.6659721Z - diagnostic_context: 2023-07-07T20:05:32.6660125Z - Return value: 2023-07-07T20:05:32.6660726Z [2023-07-07 20:05:21,309] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_3]. 2023-07-07T20:05:32.6661047Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6661058Z 2023-07-07T20:05:32.6661410Z [2023-07-07 20:05:21,309] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6661781Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6661792Z 2023-07-07T20:05:32.6662134Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6662634Z - self: 2023-07-07T20:05:32.6663048Z - node: fx.Node(native_batch_norm_3[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6663259Z - aten_name: 2023-07-07T20:05:32.6663523Z - function_overloads: 2023-07-07T20:05:32.6663739Z - onnx_args: 2023-07-07T20:05:32.6663959Z - onnx_kwargs: 2023-07-07T20:05:32.6664541Z - diagnostic_context: 2023-07-07T20:05:32.6664933Z - Return value: 2023-07-07T20:05:32.6665441Z [2023-07-07 20:05:21,315] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_4]. 2023-07-07T20:05:32.6665711Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6665725Z 2023-07-07T20:05:32.6666085Z [2023-07-07 20:05:21,315] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6666465Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6666476Z 2023-07-07T20:05:32.6666823Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6667339Z - self: 2023-07-07T20:05:32.6667747Z - node: fx.Node(convolution_4[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6667953Z - aten_name: 2023-07-07T20:05:32.6668198Z - function_overloads: 2023-07-07T20:05:32.6668398Z - onnx_args: 2023-07-07T20:05:32.6668608Z - onnx_kwargs: 2023-07-07T20:05:32.6669163Z - diagnostic_context: 2023-07-07T20:05:32.6669557Z - Return value: 2023-07-07T20:05:32.6670104Z [2023-07-07 20:05:21,319] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_4]. 2023-07-07T20:05:32.6670383Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6670398Z 2023-07-07T20:05:32.6670763Z [2023-07-07 20:05:21,319] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6671147Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6671162Z 2023-07-07T20:05:32.6671502Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6671989Z - self: 2023-07-07T20:05:32.6672479Z - node: fx.Node(native_batch_norm_4[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6672735Z - aten_name: 2023-07-07T20:05:32.6672974Z - function_overloads: 2023-07-07T20:05:32.6673184Z - onnx_args: 2023-07-07T20:05:32.6673400Z - onnx_kwargs: 2023-07-07T20:05:32.6673979Z - diagnostic_context: 2023-07-07T20:05:32.6674409Z - Return value: 2023-07-07T20:05:32.6675039Z [2023-07-07 20:05:21,321] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_5]. 2023-07-07T20:05:32.6675357Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6675369Z 2023-07-07T20:05:32.6675736Z [2023-07-07 20:05:21,321] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6676100Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6676111Z 2023-07-07T20:05:32.6676454Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6676949Z - self: 2023-07-07T20:05:32.6677325Z - node: fx.Node(convolution_5[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6677532Z - aten_name: 2023-07-07T20:05:32.6677754Z - function_overloads: 2023-07-07T20:05:32.6677964Z - onnx_args: 2023-07-07T20:05:32.6678172Z - onnx_kwargs: 2023-07-07T20:05:32.6678693Z - diagnostic_context: 2023-07-07T20:05:32.6679081Z - Return value: 2023-07-07T20:05:32.6679593Z [2023-07-07 20:05:21,326] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_5]. 2023-07-07T20:05:32.6679869Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6679882Z 2023-07-07T20:05:32.6680199Z [2023-07-07 20:05:21,326] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6680528Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6680556Z 2023-07-07T20:05:32.6680856Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6681360Z - self: 2023-07-07T20:05:32.6681758Z - node: fx.Node(native_batch_norm_5[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6681950Z - aten_name: 2023-07-07T20:05:32.6682177Z - function_overloads: 2023-07-07T20:05:32.6682382Z - onnx_args: 2023-07-07T20:05:32.6682583Z - onnx_kwargs: 2023-07-07T20:05:32.6683093Z - diagnostic_context: 2023-07-07T20:05:32.6683462Z - Return value: 2023-07-07T20:05:32.6683889Z [2023-07-07 20:05:21,331] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat]. 2023-07-07T20:05:32.6684117Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6684129Z 2023-07-07T20:05:32.6684620Z [2023-07-07 20:05:21,331] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6684978Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6684992Z 2023-07-07T20:05:32.6685300Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6685783Z - self: 2023-07-07T20:05:32.6686214Z - node: fx.Node(cat[call_function]'aten.cat.default') 2023-07-07T20:05:32.6686406Z - aten_name: 2023-07-07T20:05:32.6686723Z - function_overloads: 2023-07-07T20:05:32.6686942Z - onnx_args: 2023-07-07T20:05:32.6687134Z - onnx_kwargs: 2023-07-07T20:05:32.6687654Z - diagnostic_context: 2023-07-07T20:05:32.6687891Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.6688378Z [2023-07-07 20:05:21,334] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.6688588Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6688662Z 2023-07-07T20:05:32.6688970Z [2023-07-07 20:05:21,334] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6689306Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6689315Z 2023-07-07T20:05:32.6689618Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6690044Z - self: 2023-07-07T20:05:32.6690353Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.6690528Z - aten_name: 2023-07-07T20:05:32.6690742Z - function_overloads: 2023-07-07T20:05:32.6690924Z - onnx_args: 2023-07-07T20:05:32.6691102Z - onnx_kwargs: 2023-07-07T20:05:32.6691605Z - diagnostic_context: 2023-07-07T20:05:32.6691968Z - Return value: 2023-07-07T20:05:32.6692422Z [2023-07-07 20:05:21,336] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone]. 2023-07-07T20:05:32.6692663Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6692675Z 2023-07-07T20:05:32.6693035Z [2023-07-07 20:05:21,336] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6693410Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6693420Z 2023-07-07T20:05:32.6693739Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6694455Z - self: 2023-07-07T20:05:32.6694779Z - node: fx.Node(clone[call_function]'aten.clone.default') 2023-07-07T20:05:32.6694976Z - aten_name: 2023-07-07T20:05:32.6695208Z - function_overloads: 2023-07-07T20:05:32.6695408Z - onnx_args: 2023-07-07T20:05:32.6695606Z - onnx_kwargs: 2023-07-07T20:05:32.6696139Z - diagnostic_context: 2023-07-07T20:05:32.6696399Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.6696824Z [2023-07-07 20:05:21,338] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split]. 2023-07-07T20:05:32.6697059Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6697071Z 2023-07-07T20:05:32.6697420Z [2023-07-07 20:05:21,338] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6697773Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6697788Z 2023-07-07T20:05:32.6698110Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6698591Z - self: 2023-07-07T20:05:32.6698903Z - node: fx.Node(split[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.6699106Z - aten_name: 2023-07-07T20:05:32.6699324Z - function_overloads: 2023-07-07T20:05:32.6699624Z - onnx_args: 2023-07-07T20:05:32.6699832Z - onnx_kwargs: 2023-07-07T20:05:32.6700438Z - diagnostic_context: 2023-07-07T20:05:32.6700701Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.6701178Z [2023-07-07 20:05:21,339] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_20]. 2023-07-07T20:05:32.6701425Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6701477Z 2023-07-07T20:05:32.6701826Z [2023-07-07 20:05:21,339] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6702196Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6702223Z 2023-07-07T20:05:32.6702546Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6703038Z - self: 2023-07-07T20:05:32.6703417Z - node: fx.Node(getitem_20[call_function]'') 2023-07-07T20:05:32.6703619Z - aten_name: 2023-07-07T20:05:32.6703844Z - function_overloads: 2023-07-07T20:05:32.6704050Z - onnx_args: 2023-07-07T20:05:32.6704250Z - onnx_kwargs: 2023-07-07T20:05:32.6704781Z - diagnostic_context: 2023-07-07T20:05:32.6705044Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6705519Z [2023-07-07 20:05:21,341] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_21]. 2023-07-07T20:05:32.6705762Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6705773Z 2023-07-07T20:05:32.6706108Z [2023-07-07 20:05:21,341] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6706447Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6706459Z 2023-07-07T20:05:32.6706796Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6707236Z - self: 2023-07-07T20:05:32.6707563Z - node: fx.Node(getitem_21[call_function]'') 2023-07-07T20:05:32.6707749Z - aten_name: 2023-07-07T20:05:32.6707961Z - function_overloads: 2023-07-07T20:05:32.6708162Z - onnx_args: 2023-07-07T20:05:32.6708369Z - onnx_kwargs: 2023-07-07T20:05:32.6708904Z - diagnostic_context: 2023-07-07T20:05:32.6709181Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6709689Z [2023-07-07 20:05:21,342] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_6]. 2023-07-07T20:05:32.6709936Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6709969Z 2023-07-07T20:05:32.6710298Z [2023-07-07 20:05:21,342] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6710670Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6710681Z 2023-07-07T20:05:32.6711011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6711451Z - self: 2023-07-07T20:05:32.6711810Z - node: fx.Node(convolution_6[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6712005Z - aten_name: 2023-07-07T20:05:32.6712237Z - function_overloads: 2023-07-07T20:05:32.6712441Z - onnx_args: 2023-07-07T20:05:32.6712628Z - onnx_kwargs: 2023-07-07T20:05:32.6713297Z - diagnostic_context: 2023-07-07T20:05:32.6713758Z - Return value: 2023-07-07T20:05:32.6714257Z [2023-07-07 20:05:21,346] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_6]. 2023-07-07T20:05:32.6714508Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6714519Z 2023-07-07T20:05:32.6715000Z [2023-07-07 20:05:21,346] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6715348Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6715419Z 2023-07-07T20:05:32.6715752Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6716247Z - self: 2023-07-07T20:05:32.6716627Z - node: fx.Node(native_batch_norm_6[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6716828Z - aten_name: 2023-07-07T20:05:32.6717061Z - function_overloads: 2023-07-07T20:05:32.6717270Z - onnx_args: 2023-07-07T20:05:32.6717477Z - onnx_kwargs: 2023-07-07T20:05:32.6718037Z - diagnostic_context: 2023-07-07T20:05:32.6718419Z - Return value: 2023-07-07T20:05:32.6718911Z [2023-07-07 20:05:21,352] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_7]. 2023-07-07T20:05:32.6719170Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6719181Z 2023-07-07T20:05:32.6719542Z [2023-07-07 20:05:21,352] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6719922Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6719933Z 2023-07-07T20:05:32.6720274Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6720747Z - self: 2023-07-07T20:05:32.6721110Z - node: fx.Node(convolution_7[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6721293Z - aten_name: 2023-07-07T20:05:32.6721514Z - function_overloads: 2023-07-07T20:05:32.6721701Z - onnx_args: 2023-07-07T20:05:32.6721898Z - onnx_kwargs: 2023-07-07T20:05:32.6722418Z - diagnostic_context: 2023-07-07T20:05:32.6722778Z - Return value: 2023-07-07T20:05:32.6723305Z [2023-07-07 20:05:21,357] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_7]. 2023-07-07T20:05:32.6723560Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6723574Z 2023-07-07T20:05:32.6723914Z [2023-07-07 20:05:21,357] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6724250Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6724260Z 2023-07-07T20:05:32.6724707Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6725207Z - self: 2023-07-07T20:05:32.6725605Z - node: fx.Node(native_batch_norm_7[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6725809Z - aten_name: 2023-07-07T20:05:32.6726031Z - function_overloads: 2023-07-07T20:05:32.6726226Z - onnx_args: 2023-07-07T20:05:32.6726431Z - onnx_kwargs: 2023-07-07T20:05:32.6727112Z - diagnostic_context: 2023-07-07T20:05:32.6727543Z - Return value: 2023-07-07T20:05:32.6727984Z [2023-07-07 20:05:21,359] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_8]. 2023-07-07T20:05:32.6728198Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6728210Z 2023-07-07T20:05:32.6728573Z [2023-07-07 20:05:21,359] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6728887Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6728975Z 2023-07-07T20:05:32.6729290Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6729757Z - self: 2023-07-07T20:05:32.6730110Z - node: fx.Node(convolution_8[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6730304Z - aten_name: 2023-07-07T20:05:32.6730513Z - function_overloads: 2023-07-07T20:05:32.6730711Z - onnx_args: 2023-07-07T20:05:32.6730906Z - onnx_kwargs: 2023-07-07T20:05:32.6731444Z - diagnostic_context: 2023-07-07T20:05:32.6731849Z - Return value: 2023-07-07T20:05:32.6732402Z [2023-07-07 20:05:21,363] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_8]. 2023-07-07T20:05:32.6732686Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6732697Z 2023-07-07T20:05:32.6733061Z [2023-07-07 20:05:21,364] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6733411Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6733423Z 2023-07-07T20:05:32.6733755Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6734203Z - self: 2023-07-07T20:05:32.6734588Z - node: fx.Node(native_batch_norm_8[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6734781Z - aten_name: 2023-07-07T20:05:32.6735000Z - function_overloads: 2023-07-07T20:05:32.6735206Z - onnx_args: 2023-07-07T20:05:32.6735413Z - onnx_kwargs: 2023-07-07T20:05:32.6735935Z - diagnostic_context: 2023-07-07T20:05:32.6736304Z - Return value: 2023-07-07T20:05:32.6736721Z [2023-07-07 20:05:21,369] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_1]. 2023-07-07T20:05:32.6736945Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6736957Z 2023-07-07T20:05:32.6737286Z [2023-07-07 20:05:21,369] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6737627Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6737638Z 2023-07-07T20:05:32.6737956Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6738459Z - self: 2023-07-07T20:05:32.6738781Z - node: fx.Node(cat_1[call_function]'aten.cat.default') 2023-07-07T20:05:32.6738972Z - aten_name: 2023-07-07T20:05:32.6739197Z - function_overloads: 2023-07-07T20:05:32.6739396Z - onnx_args: 2023-07-07T20:05:32.6739591Z - onnx_kwargs: 2023-07-07T20:05:32.6740211Z - diagnostic_context: 2023-07-07T20:05:32.6740480Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.6741032Z [2023-07-07 20:05:21,371] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_1]. 2023-07-07T20:05:32.6741278Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6741291Z 2023-07-07T20:05:32.6741630Z [2023-07-07 20:05:21,371] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6742014Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6742064Z 2023-07-07T20:05:32.6742384Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6742861Z - self: 2023-07-07T20:05:32.6743219Z - node: fx.Node(transpose_1[call_function]'aten.transpose.int') 2023-07-07T20:05:32.6743421Z - aten_name: 2023-07-07T20:05:32.6743649Z - function_overloads: 2023-07-07T20:05:32.6743850Z - onnx_args: 2023-07-07T20:05:32.6744062Z - onnx_kwargs: 2023-07-07T20:05:32.6744585Z - diagnostic_context: 2023-07-07T20:05:32.6744946Z - Return value: 2023-07-07T20:05:32.6745363Z [2023-07-07 20:05:21,373] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_1]. 2023-07-07T20:05:32.6745600Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6745615Z 2023-07-07T20:05:32.6745936Z [2023-07-07 20:05:21,373] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6746285Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6746295Z 2023-07-07T20:05:32.6746609Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6747072Z - self: 2023-07-07T20:05:32.6747369Z - node: fx.Node(clone_1[call_function]'aten.clone.default') 2023-07-07T20:05:32.6747559Z - aten_name: 2023-07-07T20:05:32.6747783Z - function_overloads: 2023-07-07T20:05:32.6747975Z - onnx_args: 2023-07-07T20:05:32.6748188Z - onnx_kwargs: 2023-07-07T20:05:32.6748745Z - diagnostic_context: 2023-07-07T20:05:32.6749005Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.6749460Z [2023-07-07 20:05:21,376] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_1]. 2023-07-07T20:05:32.6749697Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6749708Z 2023-07-07T20:05:32.6750067Z [2023-07-07 20:05:21,376] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6750440Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6750451Z 2023-07-07T20:05:32.6750780Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6751230Z - self: 2023-07-07T20:05:32.6751515Z - node: fx.Node(split_1[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.6751693Z - aten_name: 2023-07-07T20:05:32.6751897Z - function_overloads: 2023-07-07T20:05:32.6752090Z - onnx_args: 2023-07-07T20:05:32.6752293Z - onnx_kwargs: 2023-07-07T20:05:32.6752848Z - diagnostic_context: 2023-07-07T20:05:32.6753118Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.6753711Z [2023-07-07 20:05:21,377] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_31]. 2023-07-07T20:05:32.6754006Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6754020Z 2023-07-07T20:05:32.6754391Z [2023-07-07 20:05:21,377] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6754901Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6754994Z 2023-07-07T20:05:32.6755296Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6755813Z - self: 2023-07-07T20:05:32.6756171Z - node: fx.Node(getitem_31[call_function]'') 2023-07-07T20:05:32.6756378Z - aten_name: 2023-07-07T20:05:32.6756620Z - function_overloads: 2023-07-07T20:05:32.6756832Z - onnx_args: 2023-07-07T20:05:32.6757046Z - onnx_kwargs: 2023-07-07T20:05:32.6757565Z - diagnostic_context: 2023-07-07T20:05:32.6757818Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6758267Z [2023-07-07 20:05:21,378] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_32]. 2023-07-07T20:05:32.6758498Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6758512Z 2023-07-07T20:05:32.6758859Z [2023-07-07 20:05:21,378] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6759188Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6759199Z 2023-07-07T20:05:32.6759505Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6759993Z - self: 2023-07-07T20:05:32.6760365Z - node: fx.Node(getitem_32[call_function]'') 2023-07-07T20:05:32.6760558Z - aten_name: 2023-07-07T20:05:32.6760795Z - function_overloads: 2023-07-07T20:05:32.6760997Z - onnx_args: 2023-07-07T20:05:32.6761208Z - onnx_kwargs: 2023-07-07T20:05:32.6761767Z - diagnostic_context: 2023-07-07T20:05:32.6762039Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6762571Z [2023-07-07 20:05:21,380] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_9]. 2023-07-07T20:05:32.6762817Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6762850Z 2023-07-07T20:05:32.6763181Z [2023-07-07 20:05:21,380] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6763588Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6763598Z 2023-07-07T20:05:32.6763915Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6764531Z - self: 2023-07-07T20:05:32.6764921Z - node: fx.Node(convolution_9[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6765128Z - aten_name: 2023-07-07T20:05:32.6765358Z - function_overloads: 2023-07-07T20:05:32.6765553Z - onnx_args: 2023-07-07T20:05:32.6765747Z - onnx_kwargs: 2023-07-07T20:05:32.6766308Z - diagnostic_context: 2023-07-07T20:05:32.6766652Z - Return value: 2023-07-07T20:05:32.6767312Z [2023-07-07 20:05:21,384] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_9]. 2023-07-07T20:05:32.6767571Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6767635Z 2023-07-07T20:05:32.6767980Z [2023-07-07 20:05:21,384] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6768321Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6768331Z 2023-07-07T20:05:32.6768628Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6769159Z - self: 2023-07-07T20:05:32.6769586Z - node: fx.Node(native_batch_norm_9[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6769791Z - aten_name: 2023-07-07T20:05:32.6770023Z - function_overloads: 2023-07-07T20:05:32.6770222Z - onnx_args: 2023-07-07T20:05:32.6770424Z - onnx_kwargs: 2023-07-07T20:05:32.6770928Z - diagnostic_context: 2023-07-07T20:05:32.6771314Z - Return value: 2023-07-07T20:05:32.6771813Z [2023-07-07 20:05:21,390] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_10]. 2023-07-07T20:05:32.6772068Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6772086Z 2023-07-07T20:05:32.6772433Z [2023-07-07 20:05:21,390] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6772780Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6772793Z 2023-07-07T20:05:32.6773119Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6773588Z - self: 2023-07-07T20:05:32.6774002Z - node: fx.Node(convolution_10[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6774203Z - aten_name: 2023-07-07T20:05:32.6774437Z - function_overloads: 2023-07-07T20:05:32.6774622Z - onnx_args: 2023-07-07T20:05:32.6774833Z - onnx_kwargs: 2023-07-07T20:05:32.6775360Z - diagnostic_context: 2023-07-07T20:05:32.6775726Z - Return value: 2023-07-07T20:05:32.6776236Z [2023-07-07 20:05:21,394] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_10]. 2023-07-07T20:05:32.6776511Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6776522Z 2023-07-07T20:05:32.6776871Z [2023-07-07 20:05:21,394] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6777244Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6777255Z 2023-07-07T20:05:32.6777578Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6778057Z - self: 2023-07-07T20:05:32.6778454Z - node: fx.Node(native_batch_norm_10[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6778663Z - aten_name: 2023-07-07T20:05:32.6778879Z - function_overloads: 2023-07-07T20:05:32.6779084Z - onnx_args: 2023-07-07T20:05:32.6779303Z - onnx_kwargs: 2023-07-07T20:05:32.6779862Z - diagnostic_context: 2023-07-07T20:05:32.6780231Z - Return value: 2023-07-07T20:05:32.6780840Z [2023-07-07 20:05:21,397] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_11]. 2023-07-07T20:05:32.6781099Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6781188Z 2023-07-07T20:05:32.6781550Z [2023-07-07 20:05:21,397] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6781923Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6781934Z 2023-07-07T20:05:32.6782256Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6782791Z - self: 2023-07-07T20:05:32.6783235Z - node: fx.Node(convolution_11[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6783444Z - aten_name: 2023-07-07T20:05:32.6783671Z - function_overloads: 2023-07-07T20:05:32.6783878Z - onnx_args: 2023-07-07T20:05:32.6784096Z - onnx_kwargs: 2023-07-07T20:05:32.6784646Z - diagnostic_context: 2023-07-07T20:05:32.6785000Z - Return value: 2023-07-07T20:05:32.6785524Z [2023-07-07 20:05:21,401] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_11]. 2023-07-07T20:05:32.6785792Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6785807Z 2023-07-07T20:05:32.6786158Z [2023-07-07 20:05:21,401] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6786503Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6786518Z 2023-07-07T20:05:32.6786848Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6787311Z - self: 2023-07-07T20:05:32.6787698Z - node: fx.Node(native_batch_norm_11[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6787905Z - aten_name: 2023-07-07T20:05:32.6788137Z - function_overloads: 2023-07-07T20:05:32.6788345Z - onnx_args: 2023-07-07T20:05:32.6788554Z - onnx_kwargs: 2023-07-07T20:05:32.6789094Z - diagnostic_context: 2023-07-07T20:05:32.6789498Z - Return value: 2023-07-07T20:05:32.6789946Z [2023-07-07 20:05:21,406] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_2]. 2023-07-07T20:05:32.6790189Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6790200Z 2023-07-07T20:05:32.6790552Z [2023-07-07 20:05:21,406] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6790916Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6790927Z 2023-07-07T20:05:32.6791246Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6791745Z - self: 2023-07-07T20:05:32.6792065Z - node: fx.Node(cat_2[call_function]'aten.cat.default') 2023-07-07T20:05:32.6792253Z - aten_name: 2023-07-07T20:05:32.6792487Z - function_overloads: 2023-07-07T20:05:32.6792691Z - onnx_args: 2023-07-07T20:05:32.6792900Z - onnx_kwargs: 2023-07-07T20:05:32.6793425Z - diagnostic_context: 2023-07-07T20:05:32.6793685Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.6794159Z [2023-07-07 20:05:21,409] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_2]. 2023-07-07T20:05:32.6794502Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6794515Z 2023-07-07T20:05:32.6795028Z [2023-07-07 20:05:21,409] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6795388Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6795400Z 2023-07-07T20:05:32.6795721Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6796285Z - self: 2023-07-07T20:05:32.6796689Z - node: fx.Node(transpose_2[call_function]'aten.transpose.int') 2023-07-07T20:05:32.6796946Z - aten_name: 2023-07-07T20:05:32.6797174Z - function_overloads: 2023-07-07T20:05:32.6797372Z - onnx_args: 2023-07-07T20:05:32.6797587Z - onnx_kwargs: 2023-07-07T20:05:32.6798159Z - diagnostic_context: 2023-07-07T20:05:32.6798537Z - Return value: 2023-07-07T20:05:32.6798984Z [2023-07-07 20:05:21,411] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_2]. 2023-07-07T20:05:32.6799218Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6799230Z 2023-07-07T20:05:32.6799583Z [2023-07-07 20:05:21,411] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6799952Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6799965Z 2023-07-07T20:05:32.6800304Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6800782Z - self: 2023-07-07T20:05:32.6801110Z - node: fx.Node(clone_2[call_function]'aten.clone.default') 2023-07-07T20:05:32.6801314Z - aten_name: 2023-07-07T20:05:32.6801559Z - function_overloads: 2023-07-07T20:05:32.6801772Z - onnx_args: 2023-07-07T20:05:32.6801990Z - onnx_kwargs: 2023-07-07T20:05:32.6802543Z - diagnostic_context: 2023-07-07T20:05:32.6802786Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.6803249Z [2023-07-07 20:05:21,413] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_2]. 2023-07-07T20:05:32.6803499Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6803509Z 2023-07-07T20:05:32.6803881Z [2023-07-07 20:05:21,413] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6804241Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6804252Z 2023-07-07T20:05:32.6804736Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6805250Z - self: 2023-07-07T20:05:32.6805566Z - node: fx.Node(split_2[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.6805769Z - aten_name: 2023-07-07T20:05:32.6805987Z - function_overloads: 2023-07-07T20:05:32.6806179Z - onnx_args: 2023-07-07T20:05:32.6806387Z - onnx_kwargs: 2023-07-07T20:05:32.6806942Z - diagnostic_context: 2023-07-07T20:05:32.6807211Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.6807698Z [2023-07-07 20:05:21,414] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_42]. 2023-07-07T20:05:32.6807945Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6807955Z 2023-07-07T20:05:32.6808445Z [2023-07-07 20:05:21,414] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6808852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6808865Z 2023-07-07T20:05:32.6809210Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6809683Z - self: 2023-07-07T20:05:32.6810040Z - node: fx.Node(getitem_42[call_function]'') 2023-07-07T20:05:32.6810305Z - aten_name: 2023-07-07T20:05:32.6810532Z - function_overloads: 2023-07-07T20:05:32.6810798Z - onnx_args: 2023-07-07T20:05:32.6811014Z - onnx_kwargs: 2023-07-07T20:05:32.6811544Z - diagnostic_context: 2023-07-07T20:05:32.6811822Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6812335Z [2023-07-07 20:05:21,416] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_43]. 2023-07-07T20:05:32.6812581Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6812592Z 2023-07-07T20:05:32.6812941Z [2023-07-07 20:05:21,416] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6813288Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6813297Z 2023-07-07T20:05:32.6813619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6814105Z - self: 2023-07-07T20:05:32.6814465Z - node: fx.Node(getitem_43[call_function]'') 2023-07-07T20:05:32.6814653Z - aten_name: 2023-07-07T20:05:32.6814883Z - function_overloads: 2023-07-07T20:05:32.6815087Z - onnx_args: 2023-07-07T20:05:32.6815301Z - onnx_kwargs: 2023-07-07T20:05:32.6815852Z - diagnostic_context: 2023-07-07T20:05:32.6816135Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6816663Z [2023-07-07 20:05:21,418] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_12]. 2023-07-07T20:05:32.6816899Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6816915Z 2023-07-07T20:05:32.6817269Z [2023-07-07 20:05:21,418] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6817638Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6817653Z 2023-07-07T20:05:32.6817980Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6818460Z - self: 2023-07-07T20:05:32.6818843Z - node: fx.Node(convolution_12[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6819056Z - aten_name: 2023-07-07T20:05:32.6819298Z - function_overloads: 2023-07-07T20:05:32.6819489Z - onnx_args: 2023-07-07T20:05:32.6819688Z - onnx_kwargs: 2023-07-07T20:05:32.6820169Z - diagnostic_context: 2023-07-07T20:05:32.6820530Z - Return value: 2023-07-07T20:05:32.6821027Z [2023-07-07 20:05:21,423] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_12]. 2023-07-07T20:05:32.6821295Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6821307Z 2023-07-07T20:05:32.6821645Z [2023-07-07 20:05:21,423] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6822097Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6822109Z 2023-07-07T20:05:32.6822464Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6822911Z - self: 2023-07-07T20:05:32.6823300Z - node: fx.Node(native_batch_norm_12[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6823532Z - aten_name: 2023-07-07T20:05:32.6823752Z - function_overloads: 2023-07-07T20:05:32.6823959Z - onnx_args: 2023-07-07T20:05:32.6824224Z - onnx_kwargs: 2023-07-07T20:05:32.6824744Z - diagnostic_context: 2023-07-07T20:05:32.6825112Z - Return value: 2023-07-07T20:05:32.6825590Z [2023-07-07 20:05:21,429] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_13]. 2023-07-07T20:05:32.6825846Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6825856Z 2023-07-07T20:05:32.6826199Z [2023-07-07 20:05:21,429] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6826569Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6826580Z 2023-07-07T20:05:32.6826921Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6827390Z - self: 2023-07-07T20:05:32.6827756Z - node: fx.Node(convolution_13[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6827950Z - aten_name: 2023-07-07T20:05:32.6828153Z - function_overloads: 2023-07-07T20:05:32.6828340Z - onnx_args: 2023-07-07T20:05:32.6828555Z - onnx_kwargs: 2023-07-07T20:05:32.6829101Z - diagnostic_context: 2023-07-07T20:05:32.6829488Z - Return value: 2023-07-07T20:05:32.6829983Z [2023-07-07 20:05:21,433] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_13]. 2023-07-07T20:05:32.6830235Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6830246Z 2023-07-07T20:05:32.6830582Z [2023-07-07 20:05:21,433] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6830924Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6830938Z 2023-07-07T20:05:32.6831235Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6831698Z - self: 2023-07-07T20:05:32.6832100Z - node: fx.Node(native_batch_norm_13[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6832311Z - aten_name: 2023-07-07T20:05:32.6832547Z - function_overloads: 2023-07-07T20:05:32.6832738Z - onnx_args: 2023-07-07T20:05:32.6832932Z - onnx_kwargs: 2023-07-07T20:05:32.6833448Z - diagnostic_context: 2023-07-07T20:05:32.6833812Z - Return value: 2023-07-07T20:05:32.6834335Z [2023-07-07 20:05:21,435] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_14]. 2023-07-07T20:05:32.6834593Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6834603Z 2023-07-07T20:05:32.6835034Z [2023-07-07 20:05:21,435] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6835518Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6835533Z 2023-07-07T20:05:32.6835913Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6836397Z - self: 2023-07-07T20:05:32.6836758Z - node: fx.Node(convolution_14[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6836939Z - aten_name: 2023-07-07T20:05:32.6837194Z - function_overloads: 2023-07-07T20:05:32.6837404Z - onnx_args: 2023-07-07T20:05:32.6837662Z - onnx_kwargs: 2023-07-07T20:05:32.6838219Z - diagnostic_context: 2023-07-07T20:05:32.6838589Z - Return value: 2023-07-07T20:05:32.6839100Z [2023-07-07 20:05:21,440] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_14]. 2023-07-07T20:05:32.6839363Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6839373Z 2023-07-07T20:05:32.6839716Z [2023-07-07 20:05:21,440] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6840079Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6840090Z 2023-07-07T20:05:32.6840422Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6840917Z - self: 2023-07-07T20:05:32.6841343Z - node: fx.Node(native_batch_norm_14[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6841532Z - aten_name: 2023-07-07T20:05:32.6841721Z - function_overloads: 2023-07-07T20:05:32.6841880Z - onnx_args: 2023-07-07T20:05:32.6842056Z - onnx_kwargs: 2023-07-07T20:05:32.6842546Z - diagnostic_context: 2023-07-07T20:05:32.6842869Z - Return value: 2023-07-07T20:05:32.6843259Z [2023-07-07 20:05:21,445] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_3]. 2023-07-07T20:05:32.6843485Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6843498Z 2023-07-07T20:05:32.6843819Z [2023-07-07 20:05:21,445] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6844171Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6844182Z 2023-07-07T20:05:32.6844648Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6845108Z - self: 2023-07-07T20:05:32.6845411Z - node: fx.Node(cat_3[call_function]'aten.cat.default') 2023-07-07T20:05:32.6845604Z - aten_name: 2023-07-07T20:05:32.6845804Z - function_overloads: 2023-07-07T20:05:32.6845991Z - onnx_args: 2023-07-07T20:05:32.6846170Z - onnx_kwargs: 2023-07-07T20:05:32.6846649Z - diagnostic_context: 2023-07-07T20:05:32.6846879Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.6847317Z [2023-07-07 20:05:21,448] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_3]. 2023-07-07T20:05:32.6847548Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6847558Z 2023-07-07T20:05:32.6847898Z [2023-07-07 20:05:21,448] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6848230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6848380Z 2023-07-07T20:05:32.6848781Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6849292Z - self: 2023-07-07T20:05:32.6849648Z - node: fx.Node(transpose_3[call_function]'aten.transpose.int') 2023-07-07T20:05:32.6849860Z - aten_name: 2023-07-07T20:05:32.6850104Z - function_overloads: 2023-07-07T20:05:32.6850346Z - onnx_args: 2023-07-07T20:05:32.6850534Z - onnx_kwargs: 2023-07-07T20:05:32.6851040Z - diagnostic_context: 2023-07-07T20:05:32.6851457Z - Return value: 2023-07-07T20:05:32.6851919Z [2023-07-07 20:05:21,449] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_3]. 2023-07-07T20:05:32.6852162Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6852174Z 2023-07-07T20:05:32.6852529Z [2023-07-07 20:05:21,449] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6852888Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6852899Z 2023-07-07T20:05:32.6853213Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6853657Z - self: 2023-07-07T20:05:32.6853978Z - node: fx.Node(clone_3[call_function]'aten.clone.default') 2023-07-07T20:05:32.6854176Z - aten_name: 2023-07-07T20:05:32.6854369Z - function_overloads: 2023-07-07T20:05:32.6854544Z - onnx_args: 2023-07-07T20:05:32.6854722Z - onnx_kwargs: 2023-07-07T20:05:32.6855248Z - diagnostic_context: 2023-07-07T20:05:32.6855513Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.6856006Z [2023-07-07 20:05:21,452] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_15]. 2023-07-07T20:05:32.6856303Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6856314Z 2023-07-07T20:05:32.6856677Z [2023-07-07 20:05:21,452] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6857058Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6857072Z 2023-07-07T20:05:32.6857417Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6857935Z - self: 2023-07-07T20:05:32.6858339Z - node: fx.Node(convolution_15[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6858548Z - aten_name: 2023-07-07T20:05:32.6858787Z - function_overloads: 2023-07-07T20:05:32.6859011Z - onnx_args: 2023-07-07T20:05:32.6859230Z - onnx_kwargs: 2023-07-07T20:05:32.6859801Z - diagnostic_context: 2023-07-07T20:05:32.6860198Z - Return value: 2023-07-07T20:05:32.6860761Z [2023-07-07 20:05:21,456] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_15]. 2023-07-07T20:05:32.6861050Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6861064Z 2023-07-07T20:05:32.6861420Z [2023-07-07 20:05:21,456] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6861755Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6861783Z 2023-07-07T20:05:32.6862161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6862718Z - self: 2023-07-07T20:05:32.6863148Z - node: fx.Node(native_batch_norm_15[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6863337Z - aten_name: 2023-07-07T20:05:32.6863563Z - function_overloads: 2023-07-07T20:05:32.6863761Z - onnx_args: 2023-07-07T20:05:32.6864025Z - onnx_kwargs: 2023-07-07T20:05:32.6864509Z - diagnostic_context: 2023-07-07T20:05:32.6864934Z - Return value: 2023-07-07T20:05:32.6865392Z [2023-07-07 20:05:21,458] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_16]. 2023-07-07T20:05:32.6865645Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6865655Z 2023-07-07T20:05:32.6865978Z [2023-07-07 20:05:21,458] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6866315Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6866325Z 2023-07-07T20:05:32.6866641Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6867103Z - self: 2023-07-07T20:05:32.6867484Z - node: fx.Node(convolution_16[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6867670Z - aten_name: 2023-07-07T20:05:32.6867909Z - function_overloads: 2023-07-07T20:05:32.6868111Z - onnx_args: 2023-07-07T20:05:32.6868317Z - onnx_kwargs: 2023-07-07T20:05:32.6868822Z - diagnostic_context: 2023-07-07T20:05:32.6869199Z - Return value: 2023-07-07T20:05:32.6869715Z [2023-07-07 20:05:21,463] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_16]. 2023-07-07T20:05:32.6869982Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6870010Z 2023-07-07T20:05:32.6870329Z [2023-07-07 20:05:21,463] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6870704Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6870719Z 2023-07-07T20:05:32.6871059Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6871558Z - self: 2023-07-07T20:05:32.6871960Z - node: fx.Node(native_batch_norm_16[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6872174Z - aten_name: 2023-07-07T20:05:32.6872407Z - function_overloads: 2023-07-07T20:05:32.6872613Z - onnx_args: 2023-07-07T20:05:32.6872808Z - onnx_kwargs: 2023-07-07T20:05:32.6873335Z - diagnostic_context: 2023-07-07T20:05:32.6873703Z - Return value: 2023-07-07T20:05:32.6874248Z [2023-07-07 20:05:21,469] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_17]. 2023-07-07T20:05:32.6874524Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6874539Z 2023-07-07T20:05:32.6874994Z [2023-07-07 20:05:21,469] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6875378Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6875389Z 2023-07-07T20:05:32.6875815Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6876377Z - self: 2023-07-07T20:05:32.6876776Z - node: fx.Node(convolution_17[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6876986Z - aten_name: 2023-07-07T20:05:32.6877227Z - function_overloads: 2023-07-07T20:05:32.6877432Z - onnx_args: 2023-07-07T20:05:32.6877691Z - onnx_kwargs: 2023-07-07T20:05:32.6878202Z - diagnostic_context: 2023-07-07T20:05:32.6878635Z - Return value: 2023-07-07T20:05:32.6879148Z [2023-07-07 20:05:21,473] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_17]. 2023-07-07T20:05:32.6879396Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6879407Z 2023-07-07T20:05:32.6879744Z [2023-07-07 20:05:21,473] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6880077Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6880087Z 2023-07-07T20:05:32.6880391Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6880848Z - self: 2023-07-07T20:05:32.6881247Z - node: fx.Node(native_batch_norm_17[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6881441Z - aten_name: 2023-07-07T20:05:32.6881655Z - function_overloads: 2023-07-07T20:05:32.6881838Z - onnx_args: 2023-07-07T20:05:32.6882041Z - onnx_kwargs: 2023-07-07T20:05:32.6882568Z - diagnostic_context: 2023-07-07T20:05:32.6882936Z - Return value: 2023-07-07T20:05:32.6883446Z [2023-07-07 20:05:21,479] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_18]. 2023-07-07T20:05:32.6883708Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6883719Z 2023-07-07T20:05:32.6884081Z [2023-07-07 20:05:21,479] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6884675Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6884690Z 2023-07-07T20:05:32.6884996Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6885444Z - self: 2023-07-07T20:05:32.6885825Z - node: fx.Node(convolution_18[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6886031Z - aten_name: 2023-07-07T20:05:32.6886262Z - function_overloads: 2023-07-07T20:05:32.6886458Z - onnx_args: 2023-07-07T20:05:32.6886666Z - onnx_kwargs: 2023-07-07T20:05:32.6887187Z - diagnostic_context: 2023-07-07T20:05:32.6887540Z - Return value: 2023-07-07T20:05:32.6888053Z [2023-07-07 20:05:21,483] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_18]. 2023-07-07T20:05:32.6888321Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6888338Z 2023-07-07T20:05:32.6888675Z [2023-07-07 20:05:21,483] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6889040Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6889051Z 2023-07-07T20:05:32.6889518Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6890046Z - self: 2023-07-07T20:05:32.6890476Z - node: fx.Node(native_batch_norm_18[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6890688Z - aten_name: 2023-07-07T20:05:32.6890898Z - function_overloads: 2023-07-07T20:05:32.6891110Z - onnx_args: 2023-07-07T20:05:32.6891379Z - onnx_kwargs: 2023-07-07T20:05:32.6891925Z - diagnostic_context: 2023-07-07T20:05:32.6892359Z - Return value: 2023-07-07T20:05:32.6892851Z [2023-07-07 20:05:21,486] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_19]. 2023-07-07T20:05:32.6893088Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6893099Z 2023-07-07T20:05:32.6893478Z [2023-07-07 20:05:21,486] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6893824Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6893851Z 2023-07-07T20:05:32.6894172Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6894658Z - self: 2023-07-07T20:05:32.6895043Z - node: fx.Node(convolution_19[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6895242Z - aten_name: 2023-07-07T20:05:32.6895464Z - function_overloads: 2023-07-07T20:05:32.6895673Z - onnx_args: 2023-07-07T20:05:32.6895878Z - onnx_kwargs: 2023-07-07T20:05:32.6896403Z - diagnostic_context: 2023-07-07T20:05:32.6896764Z - Return value: 2023-07-07T20:05:32.6897260Z [2023-07-07 20:05:21,490] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_19]. 2023-07-07T20:05:32.6897517Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6897527Z 2023-07-07T20:05:32.6897857Z [2023-07-07 20:05:21,490] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6898208Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6898223Z 2023-07-07T20:05:32.6898544Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6899005Z - self: 2023-07-07T20:05:32.6899394Z - node: fx.Node(native_batch_norm_19[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6899583Z - aten_name: 2023-07-07T20:05:32.6899812Z - function_overloads: 2023-07-07T20:05:32.6900025Z - onnx_args: 2023-07-07T20:05:32.6900234Z - onnx_kwargs: 2023-07-07T20:05:32.6900759Z - diagnostic_context: 2023-07-07T20:05:32.6901159Z - Return value: 2023-07-07T20:05:32.6901602Z [2023-07-07 20:05:21,496] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_4]. 2023-07-07T20:05:32.6901822Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6901854Z 2023-07-07T20:05:32.6902170Z [2023-07-07 20:05:21,496] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6902508Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6902521Z 2023-07-07T20:05:32.6902942Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6903454Z - self: 2023-07-07T20:05:32.6903773Z - node: fx.Node(cat_4[call_function]'aten.cat.default') 2023-07-07T20:05:32.6903983Z - aten_name: 2023-07-07T20:05:32.6904215Z - function_overloads: 2023-07-07T20:05:32.6904410Z - onnx_args: 2023-07-07T20:05:32.6904601Z - onnx_kwargs: 2023-07-07T20:05:32.6905163Z - diagnostic_context: 2023-07-07T20:05:32.6905396Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.6905894Z [2023-07-07 20:05:21,498] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_4]. 2023-07-07T20:05:32.6906142Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6906153Z 2023-07-07T20:05:32.6906515Z [2023-07-07 20:05:21,498] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6906868Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6906879Z 2023-07-07T20:05:32.6907207Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6907679Z - self: 2023-07-07T20:05:32.6908022Z - node: fx.Node(transpose_4[call_function]'aten.transpose.int') 2023-07-07T20:05:32.6908224Z - aten_name: 2023-07-07T20:05:32.6908456Z - function_overloads: 2023-07-07T20:05:32.6908674Z - onnx_args: 2023-07-07T20:05:32.6908882Z - onnx_kwargs: 2023-07-07T20:05:32.6909427Z - diagnostic_context: 2023-07-07T20:05:32.6910097Z - Return value: 2023-07-07T20:05:32.6910575Z [2023-07-07 20:05:21,499] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_4]. 2023-07-07T20:05:32.6910829Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6910840Z 2023-07-07T20:05:32.6911202Z [2023-07-07 20:05:21,499] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6911553Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6911568Z 2023-07-07T20:05:32.6911882Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6912351Z - self: 2023-07-07T20:05:32.6912671Z - node: fx.Node(clone_4[call_function]'aten.clone.default') 2023-07-07T20:05:32.6912854Z - aten_name: 2023-07-07T20:05:32.6913035Z - function_overloads: 2023-07-07T20:05:32.6913211Z - onnx_args: 2023-07-07T20:05:32.6913410Z - onnx_kwargs: 2023-07-07T20:05:32.6913942Z - diagnostic_context: 2023-07-07T20:05:32.6914218Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.6914806Z [2023-07-07 20:05:21,502] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_3]. 2023-07-07T20:05:32.6915035Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6915046Z 2023-07-07T20:05:32.6915419Z [2023-07-07 20:05:21,502] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6915733Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6915769Z 2023-07-07T20:05:32.6916065Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6916568Z - self: 2023-07-07T20:05:32.6917017Z - node: fx.Node(split_3[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.6917217Z - aten_name: 2023-07-07T20:05:32.6917502Z - function_overloads: 2023-07-07T20:05:32.6917712Z - onnx_args: 2023-07-07T20:05:32.6917915Z - onnx_kwargs: 2023-07-07T20:05:32.6918408Z - diagnostic_context: 2023-07-07T20:05:32.6918680Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.6919232Z [2023-07-07 20:05:21,503] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_68]. 2023-07-07T20:05:32.6919550Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6919561Z 2023-07-07T20:05:32.6919927Z [2023-07-07 20:05:21,503] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6920291Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6920303Z 2023-07-07T20:05:32.6920645Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6921146Z - self: 2023-07-07T20:05:32.6921505Z - node: fx.Node(getitem_68[call_function]'') 2023-07-07T20:05:32.6921705Z - aten_name: 2023-07-07T20:05:32.6921951Z - function_overloads: 2023-07-07T20:05:32.6922160Z - onnx_args: 2023-07-07T20:05:32.6922375Z - onnx_kwargs: 2023-07-07T20:05:32.6922946Z - diagnostic_context: 2023-07-07T20:05:32.6923231Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6923740Z [2023-07-07 20:05:21,504] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_69]. 2023-07-07T20:05:32.6923971Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6923997Z 2023-07-07T20:05:32.6924346Z [2023-07-07 20:05:21,504] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6924883Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6924895Z 2023-07-07T20:05:32.6925225Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6925744Z - self: 2023-07-07T20:05:32.6926121Z - node: fx.Node(getitem_69[call_function]'') 2023-07-07T20:05:32.6926329Z - aten_name: 2023-07-07T20:05:32.6926574Z - function_overloads: 2023-07-07T20:05:32.6926780Z - onnx_args: 2023-07-07T20:05:32.6926977Z - onnx_kwargs: 2023-07-07T20:05:32.6927537Z - diagnostic_context: 2023-07-07T20:05:32.6927828Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6928349Z [2023-07-07 20:05:21,505] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_20]. 2023-07-07T20:05:32.6928618Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6928629Z 2023-07-07T20:05:32.6928993Z [2023-07-07 20:05:21,506] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6929376Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6929387Z 2023-07-07T20:05:32.6929724Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6930235Z - self: 2023-07-07T20:05:32.6930623Z - node: fx.Node(convolution_20[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6930951Z - aten_name: 2023-07-07T20:05:32.6931195Z - function_overloads: 2023-07-07T20:05:32.6931455Z - onnx_args: 2023-07-07T20:05:32.6931677Z - onnx_kwargs: 2023-07-07T20:05:32.6932252Z - diagnostic_context: 2023-07-07T20:05:32.6932645Z - Return value: 2023-07-07T20:05:32.6933171Z [2023-07-07 20:05:21,510] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_20]. 2023-07-07T20:05:32.6933509Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6933615Z 2023-07-07T20:05:32.6933987Z [2023-07-07 20:05:21,510] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6934361Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6934372Z 2023-07-07T20:05:32.6934706Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6935207Z - self: 2023-07-07T20:05:32.6935614Z - node: fx.Node(native_batch_norm_20[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6935807Z - aten_name: 2023-07-07T20:05:32.6936051Z - function_overloads: 2023-07-07T20:05:32.6936249Z - onnx_args: 2023-07-07T20:05:32.6936469Z - onnx_kwargs: 2023-07-07T20:05:32.6937042Z - diagnostic_context: 2023-07-07T20:05:32.6937434Z - Return value: 2023-07-07T20:05:32.6937960Z [2023-07-07 20:05:21,516] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_21]. 2023-07-07T20:05:32.6938221Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6938236Z 2023-07-07T20:05:32.6938607Z [2023-07-07 20:05:21,516] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6938983Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6938994Z 2023-07-07T20:05:32.6939317Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6939816Z - self: 2023-07-07T20:05:32.6940216Z - node: fx.Node(convolution_21[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6940429Z - aten_name: 2023-07-07T20:05:32.6940678Z - function_overloads: 2023-07-07T20:05:32.6940888Z - onnx_args: 2023-07-07T20:05:32.6941102Z - onnx_kwargs: 2023-07-07T20:05:32.6941675Z - diagnostic_context: 2023-07-07T20:05:32.6942055Z - Return value: 2023-07-07T20:05:32.6942603Z [2023-07-07 20:05:21,520] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_21]. 2023-07-07T20:05:32.6942870Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6942879Z 2023-07-07T20:05:32.6943246Z [2023-07-07 20:05:21,520] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6943623Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6943634Z 2023-07-07T20:05:32.6943985Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6944485Z - self: 2023-07-07T20:05:32.6944913Z - node: fx.Node(native_batch_norm_21[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6945192Z - aten_name: 2023-07-07T20:05:32.6945427Z - function_overloads: 2023-07-07T20:05:32.6945687Z - onnx_args: 2023-07-07T20:05:32.6945891Z - onnx_kwargs: 2023-07-07T20:05:32.6946452Z - diagnostic_context: 2023-07-07T20:05:32.6946851Z - Return value: 2023-07-07T20:05:32.6947384Z [2023-07-07 20:05:21,523] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_22]. 2023-07-07T20:05:32.6947700Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6947748Z 2023-07-07T20:05:32.6948115Z [2023-07-07 20:05:21,523] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6948477Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6948487Z 2023-07-07T20:05:32.6948823Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6949331Z - self: 2023-07-07T20:05:32.6949741Z - node: fx.Node(convolution_22[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6949945Z - aten_name: 2023-07-07T20:05:32.6950194Z - function_overloads: 2023-07-07T20:05:32.6950406Z - onnx_args: 2023-07-07T20:05:32.6950621Z - onnx_kwargs: 2023-07-07T20:05:32.6951104Z - diagnostic_context: 2023-07-07T20:05:32.6951476Z - Return value: 2023-07-07T20:05:32.6952023Z [2023-07-07 20:05:21,527] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_22]. 2023-07-07T20:05:32.6952303Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6952317Z 2023-07-07T20:05:32.6952639Z [2023-07-07 20:05:21,527] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6952991Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6953002Z 2023-07-07T20:05:32.6953339Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6953833Z - self: 2023-07-07T20:05:32.6954248Z - node: fx.Node(native_batch_norm_22[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6954440Z - aten_name: 2023-07-07T20:05:32.6955466Z - function_overloads: 2023-07-07T20:05:32.6955708Z - onnx_args: 2023-07-07T20:05:32.6955919Z - onnx_kwargs: 2023-07-07T20:05:32.6956486Z - diagnostic_context: 2023-07-07T20:05:32.6956855Z - Return value: 2023-07-07T20:05:32.6957310Z [2023-07-07 20:05:21,533] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_5]. 2023-07-07T20:05:32.6957546Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6957575Z 2023-07-07T20:05:32.6957923Z [2023-07-07 20:05:21,533] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6958300Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6958316Z 2023-07-07T20:05:32.6958659Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6959169Z - self: 2023-07-07T20:05:32.6959468Z - node: fx.Node(cat_5[call_function]'aten.cat.default') 2023-07-07T20:05:32.6959676Z - aten_name: 2023-07-07T20:05:32.6959996Z - function_overloads: 2023-07-07T20:05:32.6960215Z - onnx_args: 2023-07-07T20:05:32.6960473Z - onnx_kwargs: 2023-07-07T20:05:32.6961052Z - diagnostic_context: 2023-07-07T20:05:32.6961321Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.6961811Z [2023-07-07 20:05:21,535] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_5]. 2023-07-07T20:05:32.6962122Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6962134Z 2023-07-07T20:05:32.6962487Z [2023-07-07 20:05:21,535] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6962911Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6962923Z 2023-07-07T20:05:32.6963270Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6963765Z - self: 2023-07-07T20:05:32.6964132Z - node: fx.Node(transpose_5[call_function]'aten.transpose.int') 2023-07-07T20:05:32.6964334Z - aten_name: 2023-07-07T20:05:32.6964756Z - function_overloads: 2023-07-07T20:05:32.6964966Z - onnx_args: 2023-07-07T20:05:32.6965175Z - onnx_kwargs: 2023-07-07T20:05:32.6965739Z - diagnostic_context: 2023-07-07T20:05:32.6966138Z - Return value: 2023-07-07T20:05:32.6966608Z [2023-07-07 20:05:21,536] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_5]. 2023-07-07T20:05:32.6966856Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6966869Z 2023-07-07T20:05:32.6967235Z [2023-07-07 20:05:21,536] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6967612Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6967624Z 2023-07-07T20:05:32.6967952Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6968461Z - self: 2023-07-07T20:05:32.6968804Z - node: fx.Node(clone_5[call_function]'aten.clone.default') 2023-07-07T20:05:32.6969018Z - aten_name: 2023-07-07T20:05:32.6969242Z - function_overloads: 2023-07-07T20:05:32.6969452Z - onnx_args: 2023-07-07T20:05:32.6969667Z - onnx_kwargs: 2023-07-07T20:05:32.6970192Z - diagnostic_context: 2023-07-07T20:05:32.6970467Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.6970951Z [2023-07-07 20:05:21,539] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_4]. 2023-07-07T20:05:32.6971203Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6971218Z 2023-07-07T20:05:32.6971577Z [2023-07-07 20:05:21,539] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6971936Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6971962Z 2023-07-07T20:05:32.6972284Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6972778Z - self: 2023-07-07T20:05:32.6973133Z - node: fx.Node(split_4[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.6973341Z - aten_name: 2023-07-07T20:05:32.6973591Z - function_overloads: 2023-07-07T20:05:32.6973798Z - onnx_args: 2023-07-07T20:05:32.6974014Z - onnx_kwargs: 2023-07-07T20:05:32.6974685Z - diagnostic_context: 2023-07-07T20:05:32.6975008Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.6975477Z [2023-07-07 20:05:21,540] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_79]. 2023-07-07T20:05:32.6975708Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6975718Z 2023-07-07T20:05:32.6976041Z [2023-07-07 20:05:21,540] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6976738Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6976824Z 2023-07-07T20:05:32.6977155Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6977633Z - self: 2023-07-07T20:05:32.6977980Z - node: fx.Node(getitem_79[call_function]'') 2023-07-07T20:05:32.6978157Z - aten_name: 2023-07-07T20:05:32.6978384Z - function_overloads: 2023-07-07T20:05:32.6978572Z - onnx_args: 2023-07-07T20:05:32.6978768Z - onnx_kwargs: 2023-07-07T20:05:32.6979282Z - diagnostic_context: 2023-07-07T20:05:32.6979532Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6980004Z [2023-07-07 20:05:21,541] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_80]. 2023-07-07T20:05:32.6980218Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6980247Z 2023-07-07T20:05:32.6980562Z [2023-07-07 20:05:21,541] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6980894Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6980910Z 2023-07-07T20:05:32.6981213Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6981679Z - self: 2023-07-07T20:05:32.6982014Z - node: fx.Node(getitem_80[call_function]'') 2023-07-07T20:05:32.6982212Z - aten_name: 2023-07-07T20:05:32.6982431Z - function_overloads: 2023-07-07T20:05:32.6982640Z - onnx_args: 2023-07-07T20:05:32.6982828Z - onnx_kwargs: 2023-07-07T20:05:32.6983376Z - diagnostic_context: 2023-07-07T20:05:32.6983637Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.6984101Z [2023-07-07 20:05:21,542] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_23]. 2023-07-07T20:05:32.6984346Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6984356Z 2023-07-07T20:05:32.6984698Z [2023-07-07 20:05:21,543] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6985036Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6985046Z 2023-07-07T20:05:32.6985350Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6985801Z - self: 2023-07-07T20:05:32.6986211Z - node: fx.Node(convolution_23[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6986427Z - aten_name: 2023-07-07T20:05:32.6986677Z - function_overloads: 2023-07-07T20:05:32.6986896Z - onnx_args: 2023-07-07T20:05:32.6987111Z - onnx_kwargs: 2023-07-07T20:05:32.6987668Z - diagnostic_context: 2023-07-07T20:05:32.6988004Z - Return value: 2023-07-07T20:05:32.6988528Z [2023-07-07 20:05:21,548] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_23]. 2023-07-07T20:05:32.6988757Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6988767Z 2023-07-07T20:05:32.6989057Z [2023-07-07 20:05:21,548] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6989422Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6989473Z 2023-07-07T20:05:32.6989745Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6990173Z - self: 2023-07-07T20:05:32.6990561Z - node: fx.Node(native_batch_norm_23[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6990748Z - aten_name: 2023-07-07T20:05:32.6990957Z - function_overloads: 2023-07-07T20:05:32.6991126Z - onnx_args: 2023-07-07T20:05:32.6991325Z - onnx_kwargs: 2023-07-07T20:05:32.6991863Z - diagnostic_context: 2023-07-07T20:05:32.6992236Z - Return value: 2023-07-07T20:05:32.6992719Z [2023-07-07 20:05:21,555] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_24]. 2023-07-07T20:05:32.6992976Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6992992Z 2023-07-07T20:05:32.6993340Z [2023-07-07 20:05:21,555] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6993710Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6993721Z 2023-07-07T20:05:32.6994046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6994553Z - self: 2023-07-07T20:05:32.6995056Z - node: fx.Node(convolution_24[call_function]'aten.convolution.default') 2023-07-07T20:05:32.6995262Z - aten_name: 2023-07-07T20:05:32.6995512Z - function_overloads: 2023-07-07T20:05:32.6995704Z - onnx_args: 2023-07-07T20:05:32.6995900Z - onnx_kwargs: 2023-07-07T20:05:32.6996409Z - diagnostic_context: 2023-07-07T20:05:32.6996757Z - Return value: 2023-07-07T20:05:32.6997266Z [2023-07-07 20:05:21,560] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_24]. 2023-07-07T20:05:32.6997527Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.6997540Z 2023-07-07T20:05:32.6997889Z [2023-07-07 20:05:21,560] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.6998230Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.6998241Z 2023-07-07T20:05:32.6998563Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.6999030Z - self: 2023-07-07T20:05:32.6999418Z - node: fx.Node(native_batch_norm_24[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.6999616Z - aten_name: 2023-07-07T20:05:32.6999808Z - function_overloads: 2023-07-07T20:05:32.6999991Z - onnx_args: 2023-07-07T20:05:32.7000177Z - onnx_kwargs: 2023-07-07T20:05:32.7000799Z - diagnostic_context: 2023-07-07T20:05:32.7001186Z - Return value: 2023-07-07T20:05:32.7001741Z [2023-07-07 20:05:21,562] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_25]. 2023-07-07T20:05:32.7001996Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7002008Z 2023-07-07T20:05:32.7002350Z [2023-07-07 20:05:21,562] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7002725Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7002774Z 2023-07-07T20:05:32.7003114Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7003577Z - self: 2023-07-07T20:05:32.7003953Z - node: fx.Node(convolution_25[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7004149Z - aten_name: 2023-07-07T20:05:32.7004529Z - function_overloads: 2023-07-07T20:05:32.7004723Z - onnx_args: 2023-07-07T20:05:32.7004908Z - onnx_kwargs: 2023-07-07T20:05:32.7005425Z - diagnostic_context: 2023-07-07T20:05:32.7005809Z - Return value: 2023-07-07T20:05:32.7006304Z [2023-07-07 20:05:21,566] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_25]. 2023-07-07T20:05:32.7006562Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7006577Z 2023-07-07T20:05:32.7006936Z [2023-07-07 20:05:21,566] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7007304Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7007316Z 2023-07-07T20:05:32.7007652Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7008139Z - self: 2023-07-07T20:05:32.7008541Z - node: fx.Node(native_batch_norm_25[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7008714Z - aten_name: 2023-07-07T20:05:32.7008944Z - function_overloads: 2023-07-07T20:05:32.7009190Z - onnx_args: 2023-07-07T20:05:32.7009407Z - onnx_kwargs: 2023-07-07T20:05:32.7009923Z - diagnostic_context: 2023-07-07T20:05:32.7010307Z - Return value: 2023-07-07T20:05:32.7010745Z [2023-07-07 20:05:21,572] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_6]. 2023-07-07T20:05:32.7010957Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7010974Z 2023-07-07T20:05:32.7011313Z [2023-07-07 20:05:21,572] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7011653Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7011663Z 2023-07-07T20:05:32.7011993Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7012492Z - self: 2023-07-07T20:05:32.7012801Z - node: fx.Node(cat_6[call_function]'aten.cat.default') 2023-07-07T20:05:32.7013011Z - aten_name: 2023-07-07T20:05:32.7013259Z - function_overloads: 2023-07-07T20:05:32.7013450Z - onnx_args: 2023-07-07T20:05:32.7013655Z - onnx_kwargs: 2023-07-07T20:05:32.7014175Z - diagnostic_context: 2023-07-07T20:05:32.7014547Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7015075Z [2023-07-07 20:05:21,575] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_6]. 2023-07-07T20:05:32.7015345Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7015357Z 2023-07-07T20:05:32.7015729Z [2023-07-07 20:05:21,575] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7016101Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7016167Z 2023-07-07T20:05:32.7016501Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7017056Z - self: 2023-07-07T20:05:32.7017429Z - node: fx.Node(transpose_6[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7017635Z - aten_name: 2023-07-07T20:05:32.7017876Z - function_overloads: 2023-07-07T20:05:32.7018081Z - onnx_args: 2023-07-07T20:05:32.7018291Z - onnx_kwargs: 2023-07-07T20:05:32.7018856Z - diagnostic_context: 2023-07-07T20:05:32.7019234Z - Return value: 2023-07-07T20:05:32.7019718Z [2023-07-07 20:05:21,576] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_6]. 2023-07-07T20:05:32.7019961Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7019973Z 2023-07-07T20:05:32.7020332Z [2023-07-07 20:05:21,576] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7020706Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7020717Z 2023-07-07T20:05:32.7021041Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7021556Z - self: 2023-07-07T20:05:32.7021900Z - node: fx.Node(clone_6[call_function]'aten.clone.default') 2023-07-07T20:05:32.7022107Z - aten_name: 2023-07-07T20:05:32.7022331Z - function_overloads: 2023-07-07T20:05:32.7022539Z - onnx_args: 2023-07-07T20:05:32.7022753Z - onnx_kwargs: 2023-07-07T20:05:32.7023321Z - diagnostic_context: 2023-07-07T20:05:32.7023600Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7024057Z [2023-07-07 20:05:21,578] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_5]. 2023-07-07T20:05:32.7024313Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7024324Z 2023-07-07T20:05:32.7024693Z [2023-07-07 20:05:21,579] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7025053Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7025079Z 2023-07-07T20:05:32.7025374Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7025835Z - self: 2023-07-07T20:05:32.7026164Z - node: fx.Node(split_5[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7026370Z - aten_name: 2023-07-07T20:05:32.7026612Z - function_overloads: 2023-07-07T20:05:32.7026808Z - onnx_args: 2023-07-07T20:05:32.7027004Z - onnx_kwargs: 2023-07-07T20:05:32.7027502Z - diagnostic_context: 2023-07-07T20:05:32.7027759Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7028329Z [2023-07-07 20:05:21,580] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_90]. 2023-07-07T20:05:32.7028567Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7028578Z 2023-07-07T20:05:32.7028982Z [2023-07-07 20:05:21,580] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7029345Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7029358Z 2023-07-07T20:05:32.7029666Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7030215Z - self: 2023-07-07T20:05:32.7030635Z - node: fx.Node(getitem_90[call_function]'') 2023-07-07T20:05:32.7030825Z - aten_name: 2023-07-07T20:05:32.7031043Z - function_overloads: 2023-07-07T20:05:32.7031242Z - onnx_args: 2023-07-07T20:05:32.7031438Z - onnx_kwargs: 2023-07-07T20:05:32.7031976Z - diagnostic_context: 2023-07-07T20:05:32.7032266Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7032739Z [2023-07-07 20:05:21,581] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_91]. 2023-07-07T20:05:32.7032974Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7033001Z 2023-07-07T20:05:32.7033341Z [2023-07-07 20:05:21,581] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7033709Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7033724Z 2023-07-07T20:05:32.7034011Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7034443Z - self: 2023-07-07T20:05:32.7034894Z - node: fx.Node(getitem_91[call_function]'') 2023-07-07T20:05:32.7035080Z - aten_name: 2023-07-07T20:05:32.7035304Z - function_overloads: 2023-07-07T20:05:32.7035506Z - onnx_args: 2023-07-07T20:05:32.7035702Z - onnx_kwargs: 2023-07-07T20:05:32.7036216Z - diagnostic_context: 2023-07-07T20:05:32.7036484Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7037005Z [2023-07-07 20:05:21,583] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_26]. 2023-07-07T20:05:32.7037262Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7037281Z 2023-07-07T20:05:32.7037623Z [2023-07-07 20:05:21,583] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7037979Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7037994Z 2023-07-07T20:05:32.7038303Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7038738Z - self: 2023-07-07T20:05:32.7039117Z - node: fx.Node(convolution_26[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7039311Z - aten_name: 2023-07-07T20:05:32.7039546Z - function_overloads: 2023-07-07T20:05:32.7039755Z - onnx_args: 2023-07-07T20:05:32.7039942Z - onnx_kwargs: 2023-07-07T20:05:32.7040464Z - diagnostic_context: 2023-07-07T20:05:32.7040853Z - Return value: 2023-07-07T20:05:32.7041650Z [2023-07-07 20:05:21,587] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_26]. 2023-07-07T20:05:32.7042022Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7042036Z 2023-07-07T20:05:32.7042452Z [2023-07-07 20:05:21,587] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7042831Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7042842Z 2023-07-07T20:05:32.7043187Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7043762Z - self: 2023-07-07T20:05:32.7044182Z - node: fx.Node(native_batch_norm_26[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7044575Z - aten_name: 2023-07-07T20:05:32.7044805Z - function_overloads: 2023-07-07T20:05:32.7045011Z - onnx_args: 2023-07-07T20:05:32.7045213Z - onnx_kwargs: 2023-07-07T20:05:32.7045736Z - diagnostic_context: 2023-07-07T20:05:32.7046136Z - Return value: 2023-07-07T20:05:32.7046666Z [2023-07-07 20:05:21,593] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_27]. 2023-07-07T20:05:32.7046936Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7046948Z 2023-07-07T20:05:32.7047308Z [2023-07-07 20:05:21,593] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7047676Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7047690Z 2023-07-07T20:05:32.7048004Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7048511Z - self: 2023-07-07T20:05:32.7048907Z - node: fx.Node(convolution_27[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7049110Z - aten_name: 2023-07-07T20:05:32.7049330Z - function_overloads: 2023-07-07T20:05:32.7049526Z - onnx_args: 2023-07-07T20:05:32.7049717Z - onnx_kwargs: 2023-07-07T20:05:32.7050265Z - diagnostic_context: 2023-07-07T20:05:32.7050647Z - Return value: 2023-07-07T20:05:32.7051191Z [2023-07-07 20:05:21,598] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_27]. 2023-07-07T20:05:32.7051459Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7051473Z 2023-07-07T20:05:32.7051827Z [2023-07-07 20:05:21,598] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7052196Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7052212Z 2023-07-07T20:05:32.7052557Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7053059Z - self: 2023-07-07T20:05:32.7053466Z - node: fx.Node(native_batch_norm_27[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7053657Z - aten_name: 2023-07-07T20:05:32.7053899Z - function_overloads: 2023-07-07T20:05:32.7054114Z - onnx_args: 2023-07-07T20:05:32.7054332Z - onnx_kwargs: 2023-07-07T20:05:32.7054900Z - diagnostic_context: 2023-07-07T20:05:32.7055296Z - Return value: 2023-07-07T20:05:32.7055799Z [2023-07-07 20:05:21,600] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_28]. 2023-07-07T20:05:32.7056192Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7056205Z 2023-07-07T20:05:32.7056617Z [2023-07-07 20:05:21,600] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7056988Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7056998Z 2023-07-07T20:05:32.7057329Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7057900Z - self: 2023-07-07T20:05:32.7058298Z - node: fx.Node(convolution_28[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7058565Z - aten_name: 2023-07-07T20:05:32.7058803Z - function_overloads: 2023-07-07T20:05:32.7059008Z - onnx_args: 2023-07-07T20:05:32.7059200Z - onnx_kwargs: 2023-07-07T20:05:32.7059780Z - diagnostic_context: 2023-07-07T20:05:32.7060169Z - Return value: 2023-07-07T20:05:32.7060724Z [2023-07-07 20:05:21,605] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_28]. 2023-07-07T20:05:32.7061000Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7061012Z 2023-07-07T20:05:32.7061385Z [2023-07-07 20:05:21,605] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7061760Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7061774Z 2023-07-07T20:05:32.7062121Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7062610Z - self: 2023-07-07T20:05:32.7063025Z - node: fx.Node(native_batch_norm_28[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7063232Z - aten_name: 2023-07-07T20:05:32.7063474Z - function_overloads: 2023-07-07T20:05:32.7063682Z - onnx_args: 2023-07-07T20:05:32.7063892Z - onnx_kwargs: 2023-07-07T20:05:32.7064450Z - diagnostic_context: 2023-07-07T20:05:32.7064852Z - Return value: 2023-07-07T20:05:32.7065306Z [2023-07-07 20:05:21,610] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_7]. 2023-07-07T20:05:32.7065528Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7065543Z 2023-07-07T20:05:32.7065899Z [2023-07-07 20:05:21,610] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7066248Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7066260Z 2023-07-07T20:05:32.7066606Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7067113Z - self: 2023-07-07T20:05:32.7067438Z - node: fx.Node(cat_7[call_function]'aten.cat.default') 2023-07-07T20:05:32.7067642Z - aten_name: 2023-07-07T20:05:32.7067881Z - function_overloads: 2023-07-07T20:05:32.7068082Z - onnx_args: 2023-07-07T20:05:32.7068304Z - onnx_kwargs: 2023-07-07T20:05:32.7068872Z - diagnostic_context: 2023-07-07T20:05:32.7069136Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7069611Z [2023-07-07 20:05:21,613] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_7]. 2023-07-07T20:05:32.7069879Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7069890Z 2023-07-07T20:05:32.7070325Z [2023-07-07 20:05:21,613] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7070734Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7070747Z 2023-07-07T20:05:32.7071068Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7071540Z - self: 2023-07-07T20:05:32.7071936Z - node: fx.Node(transpose_7[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7072133Z - aten_name: 2023-07-07T20:05:32.7072400Z - function_overloads: 2023-07-07T20:05:32.7072596Z - onnx_args: 2023-07-07T20:05:32.7072799Z - onnx_kwargs: 2023-07-07T20:05:32.7073332Z - diagnostic_context: 2023-07-07T20:05:32.7073673Z - Return value: 2023-07-07T20:05:32.7074154Z [2023-07-07 20:05:21,614] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_7]. 2023-07-07T20:05:32.7074392Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7074404Z 2023-07-07T20:05:32.7074841Z [2023-07-07 20:05:21,614] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7075198Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7075214Z 2023-07-07T20:05:32.7075530Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7076055Z - self: 2023-07-07T20:05:32.7076393Z - node: fx.Node(clone_7[call_function]'aten.clone.default') 2023-07-07T20:05:32.7076596Z - aten_name: 2023-07-07T20:05:32.7076822Z - function_overloads: 2023-07-07T20:05:32.7077019Z - onnx_args: 2023-07-07T20:05:32.7077202Z - onnx_kwargs: 2023-07-07T20:05:32.7077751Z - diagnostic_context: 2023-07-07T20:05:32.7078027Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7078495Z [2023-07-07 20:05:21,617] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_6]. 2023-07-07T20:05:32.7078739Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7078754Z 2023-07-07T20:05:32.7079110Z [2023-07-07 20:05:21,617] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7079468Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7079479Z 2023-07-07T20:05:32.7079823Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7080326Z - self: 2023-07-07T20:05:32.7080632Z - node: fx.Node(split_6[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7080810Z - aten_name: 2023-07-07T20:05:32.7081027Z - function_overloads: 2023-07-07T20:05:32.7081211Z - onnx_args: 2023-07-07T20:05:32.7081421Z - onnx_kwargs: 2023-07-07T20:05:32.7081950Z - diagnostic_context: 2023-07-07T20:05:32.7082216Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7082664Z [2023-07-07 20:05:21,618] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_101]. 2023-07-07T20:05:32.7082923Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7082934Z 2023-07-07T20:05:32.7083276Z [2023-07-07 20:05:21,618] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7083700Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7083713Z 2023-07-07T20:05:32.7084073Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7084703Z - self: 2023-07-07T20:05:32.7085080Z - node: fx.Node(getitem_101[call_function]'') 2023-07-07T20:05:32.7085269Z - aten_name: 2023-07-07T20:05:32.7085596Z - function_overloads: 2023-07-07T20:05:32.7085797Z - onnx_args: 2023-07-07T20:05:32.7085988Z - onnx_kwargs: 2023-07-07T20:05:32.7086576Z - diagnostic_context: 2023-07-07T20:05:32.7086829Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7087308Z [2023-07-07 20:05:21,619] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_102]. 2023-07-07T20:05:32.7087521Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7087533Z 2023-07-07T20:05:32.7087885Z [2023-07-07 20:05:21,619] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7088227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7088237Z 2023-07-07T20:05:32.7088528Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7088998Z - self: 2023-07-07T20:05:32.7089364Z - node: fx.Node(getitem_102[call_function]'') 2023-07-07T20:05:32.7089574Z - aten_name: 2023-07-07T20:05:32.7089813Z - function_overloads: 2023-07-07T20:05:32.7090002Z - onnx_args: 2023-07-07T20:05:32.7090213Z - onnx_kwargs: 2023-07-07T20:05:32.7090763Z - diagnostic_context: 2023-07-07T20:05:32.7091053Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7091578Z [2023-07-07 20:05:21,621] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_29]. 2023-07-07T20:05:32.7091842Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7091853Z 2023-07-07T20:05:32.7092203Z [2023-07-07 20:05:21,621] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7092565Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7092580Z 2023-07-07T20:05:32.7092922Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7093401Z - self: 2023-07-07T20:05:32.7093804Z - node: fx.Node(convolution_29[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7094011Z - aten_name: 2023-07-07T20:05:32.7094250Z - function_overloads: 2023-07-07T20:05:32.7094460Z - onnx_args: 2023-07-07T20:05:32.7094677Z - onnx_kwargs: 2023-07-07T20:05:32.7095253Z - diagnostic_context: 2023-07-07T20:05:32.7095631Z - Return value: 2023-07-07T20:05:32.7096200Z [2023-07-07 20:05:21,625] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_29]. 2023-07-07T20:05:32.7096480Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7096492Z 2023-07-07T20:05:32.7096848Z [2023-07-07 20:05:21,625] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7097336Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7097350Z 2023-07-07T20:05:32.7097750Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7098253Z - self: 2023-07-07T20:05:32.7098673Z - node: fx.Node(native_batch_norm_29[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7098889Z - aten_name: 2023-07-07T20:05:32.7099116Z - function_overloads: 2023-07-07T20:05:32.7099378Z - onnx_args: 2023-07-07T20:05:32.7099592Z - onnx_kwargs: 2023-07-07T20:05:32.7100126Z - diagnostic_context: 2023-07-07T20:05:32.7100574Z - Return value: 2023-07-07T20:05:32.7101108Z [2023-07-07 20:05:21,632] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_30]. 2023-07-07T20:05:32.7101378Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7101389Z 2023-07-07T20:05:32.7101762Z [2023-07-07 20:05:21,632] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7102114Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7102140Z 2023-07-07T20:05:32.7102460Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7102968Z - self: 2023-07-07T20:05:32.7103371Z - node: fx.Node(convolution_30[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7103583Z - aten_name: 2023-07-07T20:05:32.7103825Z - function_overloads: 2023-07-07T20:05:32.7104011Z - onnx_args: 2023-07-07T20:05:32.7104200Z - onnx_kwargs: 2023-07-07T20:05:32.7104673Z - diagnostic_context: 2023-07-07T20:05:32.7105058Z - Return value: 2023-07-07T20:05:32.7105597Z [2023-07-07 20:05:21,637] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_30]. 2023-07-07T20:05:32.7105873Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7105885Z 2023-07-07T20:05:32.7106254Z [2023-07-07 20:05:21,637] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7106636Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7106650Z 2023-07-07T20:05:32.7106994Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7107779Z - self: 2023-07-07T20:05:32.7108228Z - node: fx.Node(native_batch_norm_30[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7108425Z - aten_name: 2023-07-07T20:05:32.7108666Z - function_overloads: 2023-07-07T20:05:32.7108886Z - onnx_args: 2023-07-07T20:05:32.7109104Z - onnx_kwargs: 2023-07-07T20:05:32.7109683Z - diagnostic_context: 2023-07-07T20:05:32.7110088Z - Return value: 2023-07-07T20:05:32.7110642Z [2023-07-07 20:05:21,639] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_31]. 2023-07-07T20:05:32.7110909Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7110919Z 2023-07-07T20:05:32.7111233Z [2023-07-07 20:05:21,639] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7111566Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7111663Z 2023-07-07T20:05:32.7112029Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7112537Z - self: 2023-07-07T20:05:32.7112922Z - node: fx.Node(convolution_31[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7113122Z - aten_name: 2023-07-07T20:05:32.7113354Z - function_overloads: 2023-07-07T20:05:32.7113601Z - onnx_args: 2023-07-07T20:05:32.7113786Z - onnx_kwargs: 2023-07-07T20:05:32.7114273Z - diagnostic_context: 2023-07-07T20:05:32.7114809Z - Return value: 2023-07-07T20:05:32.7115267Z [2023-07-07 20:05:21,643] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_31]. 2023-07-07T20:05:32.7115514Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7115526Z 2023-07-07T20:05:32.7115870Z [2023-07-07 20:05:21,643] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7116202Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7116211Z 2023-07-07T20:05:32.7116532Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7117020Z - self: 2023-07-07T20:05:32.7117394Z - node: fx.Node(native_batch_norm_31[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7117585Z - aten_name: 2023-07-07T20:05:32.7117796Z - function_overloads: 2023-07-07T20:05:32.7117998Z - onnx_args: 2023-07-07T20:05:32.7118200Z - onnx_kwargs: 2023-07-07T20:05:32.7118748Z - diagnostic_context: 2023-07-07T20:05:32.7119139Z - Return value: 2023-07-07T20:05:32.7119558Z [2023-07-07 20:05:21,649] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_8]. 2023-07-07T20:05:32.7119760Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7119771Z 2023-07-07T20:05:32.7120098Z [2023-07-07 20:05:21,649] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7120431Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7120451Z 2023-07-07T20:05:32.7120750Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7121221Z - self: 2023-07-07T20:05:32.7121519Z - node: fx.Node(cat_8[call_function]'aten.cat.default') 2023-07-07T20:05:32.7121714Z - aten_name: 2023-07-07T20:05:32.7121925Z - function_overloads: 2023-07-07T20:05:32.7122113Z - onnx_args: 2023-07-07T20:05:32.7122316Z - onnx_kwargs: 2023-07-07T20:05:32.7122853Z - diagnostic_context: 2023-07-07T20:05:32.7123112Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7123596Z [2023-07-07 20:05:21,652] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_8]. 2023-07-07T20:05:32.7123856Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7123871Z 2023-07-07T20:05:32.7124227Z [2023-07-07 20:05:21,652] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7124731Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7124744Z 2023-07-07T20:05:32.7125179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7125669Z - self: 2023-07-07T20:05:32.7126017Z - node: fx.Node(transpose_8[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7126217Z - aten_name: 2023-07-07T20:05:32.7126447Z - function_overloads: 2023-07-07T20:05:32.7126644Z - onnx_args: 2023-07-07T20:05:32.7126847Z - onnx_kwargs: 2023-07-07T20:05:32.7127488Z - diagnostic_context: 2023-07-07T20:05:32.7127917Z - Return value: 2023-07-07T20:05:32.7128368Z [2023-07-07 20:05:21,653] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_8]. 2023-07-07T20:05:32.7128598Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7128609Z 2023-07-07T20:05:32.7128950Z [2023-07-07 20:05:21,653] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7129279Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7129290Z 2023-07-07T20:05:32.7129594Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7130056Z - self: 2023-07-07T20:05:32.7130386Z - node: fx.Node(clone_8[call_function]'aten.clone.default') 2023-07-07T20:05:32.7130588Z - aten_name: 2023-07-07T20:05:32.7130810Z - function_overloads: 2023-07-07T20:05:32.7131015Z - onnx_args: 2023-07-07T20:05:32.7131216Z - onnx_kwargs: 2023-07-07T20:05:32.7131740Z - diagnostic_context: 2023-07-07T20:05:32.7131991Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7132413Z [2023-07-07 20:05:21,656] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_7]. 2023-07-07T20:05:32.7132639Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7132651Z 2023-07-07T20:05:32.7132940Z [2023-07-07 20:05:21,656] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7133265Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7133280Z 2023-07-07T20:05:32.7133611Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7134078Z - self: 2023-07-07T20:05:32.7134395Z - node: fx.Node(split_7[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7134603Z - aten_name: 2023-07-07T20:05:32.7134839Z - function_overloads: 2023-07-07T20:05:32.7135044Z - onnx_args: 2023-07-07T20:05:32.7135237Z - onnx_kwargs: 2023-07-07T20:05:32.7135765Z - diagnostic_context: 2023-07-07T20:05:32.7136026Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7136513Z [2023-07-07 20:05:21,657] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_112]. 2023-07-07T20:05:32.7136760Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7136775Z 2023-07-07T20:05:32.7137138Z [2023-07-07 20:05:21,657] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7137507Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7137518Z 2023-07-07T20:05:32.7137826Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7138396Z - self: 2023-07-07T20:05:32.7138738Z - node: fx.Node(getitem_112[call_function]'') 2023-07-07T20:05:32.7138998Z - aten_name: 2023-07-07T20:05:32.7139236Z - function_overloads: 2023-07-07T20:05:32.7139448Z - onnx_args: 2023-07-07T20:05:32.7139651Z - onnx_kwargs: 2023-07-07T20:05:32.7140179Z - diagnostic_context: 2023-07-07T20:05:32.7140512Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7141016Z [2023-07-07 20:05:21,658] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_113]. 2023-07-07T20:05:32.7141317Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7141329Z 2023-07-07T20:05:32.7141678Z [2023-07-07 20:05:21,658] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7142034Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7142046Z 2023-07-07T20:05:32.7142395Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7142895Z - self: 2023-07-07T20:05:32.7143257Z - node: fx.Node(getitem_113[call_function]'') 2023-07-07T20:05:32.7143459Z - aten_name: 2023-07-07T20:05:32.7143711Z - function_overloads: 2023-07-07T20:05:32.7143914Z - onnx_args: 2023-07-07T20:05:32.7144126Z - onnx_kwargs: 2023-07-07T20:05:32.7144692Z - diagnostic_context: 2023-07-07T20:05:32.7144948Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7145447Z [2023-07-07 20:05:21,659] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_32]. 2023-07-07T20:05:32.7145712Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7145723Z 2023-07-07T20:05:32.7146095Z [2023-07-07 20:05:21,660] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7146424Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7146435Z 2023-07-07T20:05:32.7146745Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7147200Z - self: 2023-07-07T20:05:32.7147586Z - node: fx.Node(convolution_32[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7147761Z - aten_name: 2023-07-07T20:05:32.7147987Z - function_overloads: 2023-07-07T20:05:32.7148199Z - onnx_args: 2023-07-07T20:05:32.7148418Z - onnx_kwargs: 2023-07-07T20:05:32.7148968Z - diagnostic_context: 2023-07-07T20:05:32.7149313Z - Return value: 2023-07-07T20:05:32.7149815Z [2023-07-07 20:05:21,664] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_32]. 2023-07-07T20:05:32.7150065Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7150077Z 2023-07-07T20:05:32.7150436Z [2023-07-07 20:05:21,664] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7150799Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7150815Z 2023-07-07T20:05:32.7151131Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7151608Z - self: 2023-07-07T20:05:32.7152103Z - node: fx.Node(native_batch_norm_32[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7152307Z - aten_name: 2023-07-07T20:05:32.7152616Z - function_overloads: 2023-07-07T20:05:32.7152816Z - onnx_args: 2023-07-07T20:05:32.7153028Z - onnx_kwargs: 2023-07-07T20:05:32.7153582Z - diagnostic_context: 2023-07-07T20:05:32.7153943Z - Return value: 2023-07-07T20:05:32.7154544Z [2023-07-07 20:05:21,670] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_33]. 2023-07-07T20:05:32.7154947Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7154960Z 2023-07-07T20:05:32.7155309Z [2023-07-07 20:05:21,670] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7155669Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7155700Z 2023-07-07T20:05:32.7156034Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7156541Z - self: 2023-07-07T20:05:32.7156943Z - node: fx.Node(convolution_33[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7157157Z - aten_name: 2023-07-07T20:05:32.7157376Z - function_overloads: 2023-07-07T20:05:32.7157578Z - onnx_args: 2023-07-07T20:05:32.7157780Z - onnx_kwargs: 2023-07-07T20:05:32.7158312Z - diagnostic_context: 2023-07-07T20:05:32.7158674Z - Return value: 2023-07-07T20:05:32.7159202Z [2023-07-07 20:05:21,675] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_33]. 2023-07-07T20:05:32.7159466Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7159477Z 2023-07-07T20:05:32.7159837Z [2023-07-07 20:05:21,675] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7160204Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7160217Z 2023-07-07T20:05:32.7160551Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7161037Z - self: 2023-07-07T20:05:32.7161422Z - node: fx.Node(native_batch_norm_33[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7161600Z - aten_name: 2023-07-07T20:05:32.7161832Z - function_overloads: 2023-07-07T20:05:32.7162033Z - onnx_args: 2023-07-07T20:05:32.7162234Z - onnx_kwargs: 2023-07-07T20:05:32.7162799Z - diagnostic_context: 2023-07-07T20:05:32.7163180Z - Return value: 2023-07-07T20:05:32.7163697Z [2023-07-07 20:05:21,677] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_34]. 2023-07-07T20:05:32.7163957Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7163968Z 2023-07-07T20:05:32.7164314Z [2023-07-07 20:05:21,677] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7164858Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7164880Z 2023-07-07T20:05:32.7165205Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7165686Z - self: 2023-07-07T20:05:32.7166178Z - node: fx.Node(convolution_34[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7166393Z - aten_name: 2023-07-07T20:05:32.7166719Z - function_overloads: 2023-07-07T20:05:32.7166929Z - onnx_args: 2023-07-07T20:05:32.7167125Z - onnx_kwargs: 2023-07-07T20:05:32.7167681Z - diagnostic_context: 2023-07-07T20:05:32.7168081Z - Return value: 2023-07-07T20:05:32.7168684Z [2023-07-07 20:05:21,682] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_34]. 2023-07-07T20:05:32.7169002Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7169014Z 2023-07-07T20:05:32.7169359Z [2023-07-07 20:05:21,682] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7169711Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7169722Z 2023-07-07T20:05:32.7170046Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7170494Z - self: 2023-07-07T20:05:32.7170886Z - node: fx.Node(native_batch_norm_34[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7171087Z - aten_name: 2023-07-07T20:05:32.7171299Z - function_overloads: 2023-07-07T20:05:32.7171479Z - onnx_args: 2023-07-07T20:05:32.7171665Z - onnx_kwargs: 2023-07-07T20:05:32.7172186Z - diagnostic_context: 2023-07-07T20:05:32.7172552Z - Return value: 2023-07-07T20:05:32.7172970Z [2023-07-07 20:05:21,687] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_9]. 2023-07-07T20:05:32.7173220Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7173234Z 2023-07-07T20:05:32.7173590Z [2023-07-07 20:05:21,687] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7173964Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7173975Z 2023-07-07T20:05:32.7174301Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7174736Z - self: 2023-07-07T20:05:32.7175019Z - node: fx.Node(cat_9[call_function]'aten.cat.default') 2023-07-07T20:05:32.7175206Z - aten_name: 2023-07-07T20:05:32.7175708Z - function_overloads: 2023-07-07T20:05:32.7175881Z - onnx_args: 2023-07-07T20:05:32.7176076Z - onnx_kwargs: 2023-07-07T20:05:32.7176603Z - diagnostic_context: 2023-07-07T20:05:32.7176859Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7177325Z [2023-07-07 20:05:21,690] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_9]. 2023-07-07T20:05:32.7177571Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7177584Z 2023-07-07T20:05:32.7177930Z [2023-07-07 20:05:21,690] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7178290Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7178301Z 2023-07-07T20:05:32.7178619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7179111Z - self: 2023-07-07T20:05:32.7179440Z - node: fx.Node(transpose_9[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7179737Z - aten_name: 2023-07-07T20:05:32.7179968Z - function_overloads: 2023-07-07T20:05:32.7180215Z - onnx_args: 2023-07-07T20:05:32.7180418Z - onnx_kwargs: 2023-07-07T20:05:32.7180947Z - diagnostic_context: 2023-07-07T20:05:32.7181284Z - Return value: 2023-07-07T20:05:32.7181747Z [2023-07-07 20:05:21,691] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_9]. 2023-07-07T20:05:32.7182023Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7182076Z 2023-07-07T20:05:32.7182422Z [2023-07-07 20:05:21,691] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7182789Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7182798Z 2023-07-07T20:05:32.7183125Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7183596Z - self: 2023-07-07T20:05:32.7183925Z - node: fx.Node(clone_9[call_function]'aten.clone.default') 2023-07-07T20:05:32.7184123Z - aten_name: 2023-07-07T20:05:32.7184331Z - function_overloads: 2023-07-07T20:05:32.7184530Z - onnx_args: 2023-07-07T20:05:32.7184727Z - onnx_kwargs: 2023-07-07T20:05:32.7185224Z - diagnostic_context: 2023-07-07T20:05:32.7185471Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7185902Z [2023-07-07 20:05:21,694] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_8]. 2023-07-07T20:05:32.7186139Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7186150Z 2023-07-07T20:05:32.7186492Z [2023-07-07 20:05:21,694] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7186852Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7186863Z 2023-07-07T20:05:32.7187197Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7187667Z - self: 2023-07-07T20:05:32.7187983Z - node: fx.Node(split_8[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7188168Z - aten_name: 2023-07-07T20:05:32.7188410Z - function_overloads: 2023-07-07T20:05:32.7188626Z - onnx_args: 2023-07-07T20:05:32.7188819Z - onnx_kwargs: 2023-07-07T20:05:32.7189349Z - diagnostic_context: 2023-07-07T20:05:32.7189608Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7190082Z [2023-07-07 20:05:21,695] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_123]. 2023-07-07T20:05:32.7190325Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7190336Z 2023-07-07T20:05:32.7190694Z [2023-07-07 20:05:21,695] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7191067Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7191085Z 2023-07-07T20:05:32.7191407Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7191896Z - self: 2023-07-07T20:05:32.7192235Z - node: fx.Node(getitem_123[call_function]'') 2023-07-07T20:05:32.7192444Z - aten_name: 2023-07-07T20:05:32.7192688Z - function_overloads: 2023-07-07T20:05:32.7192906Z - onnx_args: 2023-07-07T20:05:32.7193219Z - onnx_kwargs: 2023-07-07T20:05:32.7193858Z - diagnostic_context: 2023-07-07T20:05:32.7194153Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7194736Z [2023-07-07 20:05:21,696] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_124]. 2023-07-07T20:05:32.7194998Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7195074Z 2023-07-07T20:05:32.7195450Z [2023-07-07 20:05:21,696] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7195828Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7195883Z 2023-07-07T20:05:32.7196218Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7196685Z - self: 2023-07-07T20:05:32.7197062Z - node: fx.Node(getitem_124[call_function]'') 2023-07-07T20:05:32.7197270Z - aten_name: 2023-07-07T20:05:32.7197503Z - function_overloads: 2023-07-07T20:05:32.7197694Z - onnx_args: 2023-07-07T20:05:32.7197888Z - onnx_kwargs: 2023-07-07T20:05:32.7198367Z - diagnostic_context: 2023-07-07T20:05:32.7198641Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7199112Z [2023-07-07 20:05:21,698] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_35]. 2023-07-07T20:05:32.7199377Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7199388Z 2023-07-07T20:05:32.7199716Z [2023-07-07 20:05:21,698] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7200094Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7200105Z 2023-07-07T20:05:32.7200445Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7200912Z - self: 2023-07-07T20:05:32.7201307Z - node: fx.Node(convolution_35[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7201516Z - aten_name: 2023-07-07T20:05:32.7201762Z - function_overloads: 2023-07-07T20:05:32.7201965Z - onnx_args: 2023-07-07T20:05:32.7202177Z - onnx_kwargs: 2023-07-07T20:05:32.7202747Z - diagnostic_context: 2023-07-07T20:05:32.7203134Z - Return value: 2023-07-07T20:05:32.7203685Z [2023-07-07 20:05:21,702] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_35]. 2023-07-07T20:05:32.7203964Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7203978Z 2023-07-07T20:05:32.7204346Z [2023-07-07 20:05:21,702] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7204869Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7204881Z 2023-07-07T20:05:32.7205217Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7205742Z - self: 2023-07-07T20:05:32.7206176Z - node: fx.Node(native_batch_norm_35[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7206384Z - aten_name: 2023-07-07T20:05:32.7206615Z - function_overloads: 2023-07-07T20:05:32.7206827Z - onnx_args: 2023-07-07T20:05:32.7207044Z - onnx_kwargs: 2023-07-07T20:05:32.7207737Z - diagnostic_context: 2023-07-07T20:05:32.7208206Z - Return value: 2023-07-07T20:05:32.7208754Z [2023-07-07 20:05:21,708] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_36]. 2023-07-07T20:05:32.7209023Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7209033Z 2023-07-07T20:05:32.7209461Z [2023-07-07 20:05:21,708] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7209813Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7209915Z 2023-07-07T20:05:32.7210237Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7210744Z - self: 2023-07-07T20:05:32.7211152Z - node: fx.Node(convolution_36[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7211364Z - aten_name: 2023-07-07T20:05:32.7211607Z - function_overloads: 2023-07-07T20:05:32.7211818Z - onnx_args: 2023-07-07T20:05:32.7212030Z - onnx_kwargs: 2023-07-07T20:05:32.7212573Z - diagnostic_context: 2023-07-07T20:05:32.7212971Z - Return value: 2023-07-07T20:05:32.7213528Z [2023-07-07 20:05:21,712] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_36]. 2023-07-07T20:05:32.7213798Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7213810Z 2023-07-07T20:05:32.7214148Z [2023-07-07 20:05:21,712] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7214509Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7214520Z 2023-07-07T20:05:32.7214834Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7215304Z - self: 2023-07-07T20:05:32.7215714Z - node: fx.Node(native_batch_norm_36[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7215900Z - aten_name: 2023-07-07T20:05:32.7216136Z - function_overloads: 2023-07-07T20:05:32.7216328Z - onnx_args: 2023-07-07T20:05:32.7216517Z - onnx_kwargs: 2023-07-07T20:05:32.7217031Z - diagnostic_context: 2023-07-07T20:05:32.7217402Z - Return value: 2023-07-07T20:05:32.7217938Z [2023-07-07 20:05:21,714] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_37]. 2023-07-07T20:05:32.7218183Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7218218Z 2023-07-07T20:05:32.7218557Z [2023-07-07 20:05:21,714] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7218913Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7218924Z 2023-07-07T20:05:32.7219253Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7219742Z - self: 2023-07-07T20:05:32.7220135Z - node: fx.Node(convolution_37[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7220343Z - aten_name: 2023-07-07T20:05:32.7220579Z - function_overloads: 2023-07-07T20:05:32.7220780Z - onnx_args: 2023-07-07T20:05:32.7220968Z - onnx_kwargs: 2023-07-07T20:05:32.7221592Z - diagnostic_context: 2023-07-07T20:05:32.7221992Z - Return value: 2023-07-07T20:05:32.7222511Z [2023-07-07 20:05:21,718] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_37]. 2023-07-07T20:05:32.7222766Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7222777Z 2023-07-07T20:05:32.7223167Z [2023-07-07 20:05:21,719] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7223532Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7223592Z 2023-07-07T20:05:32.7223930Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7224420Z - self: 2023-07-07T20:05:32.7224804Z - node: fx.Node(native_batch_norm_37[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7225015Z - aten_name: 2023-07-07T20:05:32.7225254Z - function_overloads: 2023-07-07T20:05:32.7225467Z - onnx_args: 2023-07-07T20:05:32.7225685Z - onnx_kwargs: 2023-07-07T20:05:32.7226242Z - diagnostic_context: 2023-07-07T20:05:32.7226623Z - Return value: 2023-07-07T20:05:32.7227062Z [2023-07-07 20:05:21,724] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_10]. 2023-07-07T20:05:32.7227318Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7227329Z 2023-07-07T20:05:32.7227698Z [2023-07-07 20:05:21,724] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7228063Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7228075Z 2023-07-07T20:05:32.7228404Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7228903Z - self: 2023-07-07T20:05:32.7229228Z - node: fx.Node(cat_10[call_function]'aten.cat.default') 2023-07-07T20:05:32.7229424Z - aten_name: 2023-07-07T20:05:32.7229648Z - function_overloads: 2023-07-07T20:05:32.7229835Z - onnx_args: 2023-07-07T20:05:32.7230028Z - onnx_kwargs: 2023-07-07T20:05:32.7230560Z - diagnostic_context: 2023-07-07T20:05:32.7230796Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7231235Z [2023-07-07 20:05:21,726] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_10]. 2023-07-07T20:05:32.7231482Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7231493Z 2023-07-07T20:05:32.7231845Z [2023-07-07 20:05:21,726] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7232195Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7232206Z 2023-07-07T20:05:32.7232477Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7232962Z - self: 2023-07-07T20:05:32.7233305Z - node: fx.Node(transpose_10[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7233507Z - aten_name: 2023-07-07T20:05:32.7233743Z - function_overloads: 2023-07-07T20:05:32.7233956Z - onnx_args: 2023-07-07T20:05:32.7234176Z - onnx_kwargs: 2023-07-07T20:05:32.7234889Z - diagnostic_context: 2023-07-07T20:05:32.7235246Z - Return value: 2023-07-07T20:05:32.7235770Z [2023-07-07 20:05:21,728] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_10]. 2023-07-07T20:05:32.7236012Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7236025Z 2023-07-07T20:05:32.7236376Z [2023-07-07 20:05:21,728] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7236782Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7236793Z 2023-07-07T20:05:32.7237169Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7237675Z - self: 2023-07-07T20:05:32.7238020Z - node: fx.Node(clone_10[call_function]'aten.clone.default') 2023-07-07T20:05:32.7238200Z - aten_name: 2023-07-07T20:05:32.7238430Z - function_overloads: 2023-07-07T20:05:32.7238642Z - onnx_args: 2023-07-07T20:05:32.7238864Z - onnx_kwargs: 2023-07-07T20:05:32.7239435Z - diagnostic_context: 2023-07-07T20:05:32.7239701Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7240146Z [2023-07-07 20:05:21,730] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_9]. 2023-07-07T20:05:32.7240386Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7240396Z 2023-07-07T20:05:32.7240746Z [2023-07-07 20:05:21,730] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7241110Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7241122Z 2023-07-07T20:05:32.7241457Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7241949Z - self: 2023-07-07T20:05:32.7242288Z - node: fx.Node(split_9[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7242489Z - aten_name: 2023-07-07T20:05:32.7242997Z - function_overloads: 2023-07-07T20:05:32.7243201Z - onnx_args: 2023-07-07T20:05:32.7243387Z - onnx_kwargs: 2023-07-07T20:05:32.7243933Z - diagnostic_context: 2023-07-07T20:05:32.7244209Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7244871Z [2023-07-07 20:05:21,731] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_134]. 2023-07-07T20:05:32.7245116Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7245129Z 2023-07-07T20:05:32.7245483Z [2023-07-07 20:05:21,731] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7245854Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7245865Z 2023-07-07T20:05:32.7246198Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7246669Z - self: 2023-07-07T20:05:32.7247024Z - node: fx.Node(getitem_134[call_function]'') 2023-07-07T20:05:32.7247237Z - aten_name: 2023-07-07T20:05:32.7247472Z - function_overloads: 2023-07-07T20:05:32.7247687Z - onnx_args: 2023-07-07T20:05:32.7247903Z - onnx_kwargs: 2023-07-07T20:05:32.7248431Z - diagnostic_context: 2023-07-07T20:05:32.7248707Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7249321Z [2023-07-07 20:05:21,732] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_135]. 2023-07-07T20:05:32.7249633Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7249647Z 2023-07-07T20:05:32.7250012Z [2023-07-07 20:05:21,732] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7250386Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7250397Z 2023-07-07T20:05:32.7250785Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7251264Z - self: 2023-07-07T20:05:32.7251683Z - node: fx.Node(getitem_135[call_function]'') 2023-07-07T20:05:32.7251890Z - aten_name: 2023-07-07T20:05:32.7252130Z - function_overloads: 2023-07-07T20:05:32.7252326Z - onnx_args: 2023-07-07T20:05:32.7252546Z - onnx_kwargs: 2023-07-07T20:05:32.7253097Z - diagnostic_context: 2023-07-07T20:05:32.7253379Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7253887Z [2023-07-07 20:05:21,734] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_38]. 2023-07-07T20:05:32.7254154Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7254169Z 2023-07-07T20:05:32.7254535Z [2023-07-07 20:05:21,734] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7254901Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7254916Z 2023-07-07T20:05:32.7255226Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7255710Z - self: 2023-07-07T20:05:32.7256100Z - node: fx.Node(convolution_38[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7256309Z - aten_name: 2023-07-07T20:05:32.7256550Z - function_overloads: 2023-07-07T20:05:32.7256761Z - onnx_args: 2023-07-07T20:05:32.7256976Z - onnx_kwargs: 2023-07-07T20:05:32.7257480Z - diagnostic_context: 2023-07-07T20:05:32.7257835Z - Return value: 2023-07-07T20:05:32.7258360Z [2023-07-07 20:05:21,738] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_38]. 2023-07-07T20:05:32.7258619Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7258630Z 2023-07-07T20:05:32.7258974Z [2023-07-07 20:05:21,738] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7259344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7259355Z 2023-07-07T20:05:32.7259694Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7260148Z - self: 2023-07-07T20:05:32.7260539Z - node: fx.Node(native_batch_norm_38[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7260739Z - aten_name: 2023-07-07T20:05:32.7260935Z - function_overloads: 2023-07-07T20:05:32.7261136Z - onnx_args: 2023-07-07T20:05:32.7261345Z - onnx_kwargs: 2023-07-07T20:05:32.7261885Z - diagnostic_context: 2023-07-07T20:05:32.7262280Z - Return value: 2023-07-07T20:05:32.7262932Z [2023-07-07 20:05:21,744] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_39]. 2023-07-07T20:05:32.7263280Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7263293Z 2023-07-07T20:05:32.7263654Z [2023-07-07 20:05:21,744] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7264000Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7264011Z 2023-07-07T20:05:32.7264351Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7264875Z - self: 2023-07-07T20:05:32.7265316Z - node: fx.Node(convolution_39[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7265520Z - aten_name: 2023-07-07T20:05:32.7265758Z - function_overloads: 2023-07-07T20:05:32.7265955Z - onnx_args: 2023-07-07T20:05:32.7266170Z - onnx_kwargs: 2023-07-07T20:05:32.7266676Z - diagnostic_context: 2023-07-07T20:05:32.7267061Z - Return value: 2023-07-07T20:05:32.7267595Z [2023-07-07 20:05:21,749] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_39]. 2023-07-07T20:05:32.7267865Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7267880Z 2023-07-07T20:05:32.7268242Z [2023-07-07 20:05:21,749] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7268613Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7268630Z 2023-07-07T20:05:32.7268953Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7269440Z - self: 2023-07-07T20:05:32.7269876Z - node: fx.Node(native_batch_norm_39[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7270082Z - aten_name: 2023-07-07T20:05:32.7270336Z - function_overloads: 2023-07-07T20:05:32.7270554Z - onnx_args: 2023-07-07T20:05:32.7270771Z - onnx_kwargs: 2023-07-07T20:05:32.7271264Z - diagnostic_context: 2023-07-07T20:05:32.7271593Z - Return value: 2023-07-07T20:05:32.7272023Z [2023-07-07 20:05:21,751] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_40]. 2023-07-07T20:05:32.7272240Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7272267Z 2023-07-07T20:05:32.7272558Z [2023-07-07 20:05:21,751] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7272872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7272882Z 2023-07-07T20:05:32.7273152Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7273579Z - self: 2023-07-07T20:05:32.7273946Z - node: fx.Node(convolution_40[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7274138Z - aten_name: 2023-07-07T20:05:32.7274367Z - function_overloads: 2023-07-07T20:05:32.7274558Z - onnx_args: 2023-07-07T20:05:32.7274834Z - onnx_kwargs: 2023-07-07T20:05:32.7275338Z - diagnostic_context: 2023-07-07T20:05:32.7275683Z - Return value: 2023-07-07T20:05:32.7276308Z [2023-07-07 20:05:21,755] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_40]. 2023-07-07T20:05:32.7276626Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7276639Z 2023-07-07T20:05:32.7277003Z [2023-07-07 20:05:21,755] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7277373Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7277384Z 2023-07-07T20:05:32.7277713Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7278257Z - self: 2023-07-07T20:05:32.7278701Z - node: fx.Node(native_batch_norm_40[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7278887Z - aten_name: 2023-07-07T20:05:32.7279099Z - function_overloads: 2023-07-07T20:05:32.7279285Z - onnx_args: 2023-07-07T20:05:32.7279491Z - onnx_kwargs: 2023-07-07T20:05:32.7280029Z - diagnostic_context: 2023-07-07T20:05:32.7280392Z - Return value: 2023-07-07T20:05:32.7280801Z [2023-07-07 20:05:21,761] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_11]. 2023-07-07T20:05:32.7281032Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7281049Z 2023-07-07T20:05:32.7281386Z [2023-07-07 20:05:21,761] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7281740Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7281754Z 2023-07-07T20:05:32.7282064Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7282541Z - self: 2023-07-07T20:05:32.7282844Z - node: fx.Node(cat_11[call_function]'aten.cat.default') 2023-07-07T20:05:32.7283040Z - aten_name: 2023-07-07T20:05:32.7283263Z - function_overloads: 2023-07-07T20:05:32.7283443Z - onnx_args: 2023-07-07T20:05:32.7283677Z - onnx_kwargs: 2023-07-07T20:05:32.7284230Z - diagnostic_context: 2023-07-07T20:05:32.7284825Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7285317Z [2023-07-07 20:05:21,763] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_11]. 2023-07-07T20:05:32.7285582Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7285599Z 2023-07-07T20:05:32.7285942Z [2023-07-07 20:05:21,763] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7286296Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7286311Z 2023-07-07T20:05:32.7286621Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7287080Z - self: 2023-07-07T20:05:32.7287417Z - node: fx.Node(transpose_11[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7287622Z - aten_name: 2023-07-07T20:05:32.7287859Z - function_overloads: 2023-07-07T20:05:32.7288066Z - onnx_args: 2023-07-07T20:05:32.7288270Z - onnx_kwargs: 2023-07-07T20:05:32.7288784Z - diagnostic_context: 2023-07-07T20:05:32.7289157Z - Return value: 2023-07-07T20:05:32.7289607Z [2023-07-07 20:05:21,764] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_11]. 2023-07-07T20:05:32.7289971Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7289983Z 2023-07-07T20:05:32.7290400Z [2023-07-07 20:05:21,764] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7290777Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7290789Z 2023-07-07T20:05:32.7291111Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7291578Z - self: 2023-07-07T20:05:32.7291986Z - node: fx.Node(clone_11[call_function]'aten.clone.default') 2023-07-07T20:05:32.7292229Z - aten_name: 2023-07-07T20:05:32.7292465Z - function_overloads: 2023-07-07T20:05:32.7292668Z - onnx_args: 2023-07-07T20:05:32.7292865Z - onnx_kwargs: 2023-07-07T20:05:32.7293397Z - diagnostic_context: 2023-07-07T20:05:32.7293657Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7294162Z [2023-07-07 20:05:21,767] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_41]. 2023-07-07T20:05:32.7294417Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7294430Z 2023-07-07T20:05:32.7294747Z [2023-07-07 20:05:21,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7295096Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7295113Z 2023-07-07T20:05:32.7295440Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7295933Z - self: 2023-07-07T20:05:32.7296278Z - node: fx.Node(convolution_41[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7296471Z - aten_name: 2023-07-07T20:05:32.7296709Z - function_overloads: 2023-07-07T20:05:32.7296911Z - onnx_args: 2023-07-07T20:05:32.7297104Z - onnx_kwargs: 2023-07-07T20:05:32.7297641Z - diagnostic_context: 2023-07-07T20:05:32.7298014Z - Return value: 2023-07-07T20:05:32.7298538Z [2023-07-07 20:05:21,771] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_41]. 2023-07-07T20:05:32.7298792Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7298807Z 2023-07-07T20:05:32.7299161Z [2023-07-07 20:05:21,771] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7299529Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7299543Z 2023-07-07T20:05:32.7299875Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7300332Z - self: 2023-07-07T20:05:32.7300713Z - node: fx.Node(native_batch_norm_41[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7300910Z - aten_name: 2023-07-07T20:05:32.7301144Z - function_overloads: 2023-07-07T20:05:32.7301351Z - onnx_args: 2023-07-07T20:05:32.7301553Z - onnx_kwargs: 2023-07-07T20:05:32.7302103Z - diagnostic_context: 2023-07-07T20:05:32.7302501Z - Return value: 2023-07-07T20:05:32.7302999Z [2023-07-07 20:05:21,773] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_42]. 2023-07-07T20:05:32.7303243Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7303254Z 2023-07-07T20:05:32.7303701Z [2023-07-07 20:05:21,774] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7304113Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7304125Z 2023-07-07T20:05:32.7304465Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7304961Z - self: 2023-07-07T20:05:32.7305404Z - node: fx.Node(convolution_42[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7305674Z - aten_name: 2023-07-07T20:05:32.7305902Z - function_overloads: 2023-07-07T20:05:32.7306079Z - onnx_args: 2023-07-07T20:05:32.7306279Z - onnx_kwargs: 2023-07-07T20:05:32.7306845Z - diagnostic_context: 2023-07-07T20:05:32.7307223Z - Return value: 2023-07-07T20:05:32.7307745Z [2023-07-07 20:05:21,778] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_42]. 2023-07-07T20:05:32.7308009Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7308019Z 2023-07-07T20:05:32.7308361Z [2023-07-07 20:05:21,778] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7308712Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7308726Z 2023-07-07T20:05:32.7309042Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7309508Z - self: 2023-07-07T20:05:32.7309915Z - node: fx.Node(native_batch_norm_42[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7310132Z - aten_name: 2023-07-07T20:05:32.7310621Z - function_overloads: 2023-07-07T20:05:32.7310842Z - onnx_args: 2023-07-07T20:05:32.7311046Z - onnx_kwargs: 2023-07-07T20:05:32.7311565Z - diagnostic_context: 2023-07-07T20:05:32.7311911Z - Return value: 2023-07-07T20:05:32.7312388Z [2023-07-07 20:05:21,784] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_43]. 2023-07-07T20:05:32.7312638Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7312653Z 2023-07-07T20:05:32.7313005Z [2023-07-07 20:05:21,784] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7313370Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7313380Z 2023-07-07T20:05:32.7313705Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7314196Z - self: 2023-07-07T20:05:32.7314583Z - node: fx.Node(convolution_43[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7314861Z - aten_name: 2023-07-07T20:05:32.7315090Z - function_overloads: 2023-07-07T20:05:32.7315306Z - onnx_args: 2023-07-07T20:05:32.7315525Z - onnx_kwargs: 2023-07-07T20:05:32.7316041Z - diagnostic_context: 2023-07-07T20:05:32.7316406Z - Return value: 2023-07-07T20:05:32.7316944Z [2023-07-07 20:05:21,788] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_43]. 2023-07-07T20:05:32.7317200Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7317313Z 2023-07-07T20:05:32.7317660Z [2023-07-07 20:05:21,788] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7318069Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7318098Z 2023-07-07T20:05:32.7318396Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7318866Z - self: 2023-07-07T20:05:32.7319332Z - node: fx.Node(native_batch_norm_43[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7319591Z - aten_name: 2023-07-07T20:05:32.7319817Z - function_overloads: 2023-07-07T20:05:32.7320017Z - onnx_args: 2023-07-07T20:05:32.7320225Z - onnx_kwargs: 2023-07-07T20:05:32.7320748Z - diagnostic_context: 2023-07-07T20:05:32.7321126Z - Return value: 2023-07-07T20:05:32.7321645Z [2023-07-07 20:05:21,793] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_44]. 2023-07-07T20:05:32.7321913Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7321926Z 2023-07-07T20:05:32.7322279Z [2023-07-07 20:05:21,793] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7322644Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7322657Z 2023-07-07T20:05:32.7323000Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7323478Z - self: 2023-07-07T20:05:32.7323861Z - node: fx.Node(convolution_44[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7324053Z - aten_name: 2023-07-07T20:05:32.7324294Z - function_overloads: 2023-07-07T20:05:32.7324747Z - onnx_args: 2023-07-07T20:05:32.7324959Z - onnx_kwargs: 2023-07-07T20:05:32.7325486Z - diagnostic_context: 2023-07-07T20:05:32.7325853Z - Return value: 2023-07-07T20:05:32.7326406Z [2023-07-07 20:05:21,798] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_44]. 2023-07-07T20:05:32.7326692Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7326712Z 2023-07-07T20:05:32.7327038Z [2023-07-07 20:05:21,798] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7327379Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7327389Z 2023-07-07T20:05:32.7327699Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7328156Z - self: 2023-07-07T20:05:32.7328558Z - node: fx.Node(native_batch_norm_44[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7328760Z - aten_name: 2023-07-07T20:05:32.7328998Z - function_overloads: 2023-07-07T20:05:32.7329193Z - onnx_args: 2023-07-07T20:05:32.7329384Z - onnx_kwargs: 2023-07-07T20:05:32.7329958Z - diagnostic_context: 2023-07-07T20:05:32.7330330Z - Return value: 2023-07-07T20:05:32.7330785Z [2023-07-07 20:05:21,800] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_45]. 2023-07-07T20:05:32.7331027Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7331172Z 2023-07-07T20:05:32.7331521Z [2023-07-07 20:05:21,800] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7331957Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7331971Z 2023-07-07T20:05:32.7332302Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7332788Z - self: 2023-07-07T20:05:32.7333222Z - node: fx.Node(convolution_45[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7333476Z - aten_name: 2023-07-07T20:05:32.7333713Z - function_overloads: 2023-07-07T20:05:32.7333920Z - onnx_args: 2023-07-07T20:05:32.7334107Z - onnx_kwargs: 2023-07-07T20:05:32.7334628Z - diagnostic_context: 2023-07-07T20:05:32.7335002Z - Return value: 2023-07-07T20:05:32.7335532Z [2023-07-07 20:05:21,805] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_45]. 2023-07-07T20:05:32.7335806Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7335816Z 2023-07-07T20:05:32.7336165Z [2023-07-07 20:05:21,805] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7336523Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7336538Z 2023-07-07T20:05:32.7336861Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7337351Z - self: 2023-07-07T20:05:32.7337777Z - node: fx.Node(native_batch_norm_45[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7337993Z - aten_name: 2023-07-07T20:05:32.7338221Z - function_overloads: 2023-07-07T20:05:32.7338408Z - onnx_args: 2023-07-07T20:05:32.7338612Z - onnx_kwargs: 2023-07-07T20:05:32.7339173Z - diagnostic_context: 2023-07-07T20:05:32.7339560Z - Return value: 2023-07-07T20:05:32.7340022Z [2023-07-07 20:05:21,810] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_12]. 2023-07-07T20:05:32.7340267Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7340285Z 2023-07-07T20:05:32.7340635Z [2023-07-07 20:05:21,810] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7340995Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7341006Z 2023-07-07T20:05:32.7341341Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7341822Z - self: 2023-07-07T20:05:32.7342133Z - node: fx.Node(cat_12[call_function]'aten.cat.default') 2023-07-07T20:05:32.7342337Z - aten_name: 2023-07-07T20:05:32.7342576Z - function_overloads: 2023-07-07T20:05:32.7342786Z - onnx_args: 2023-07-07T20:05:32.7342999Z - onnx_kwargs: 2023-07-07T20:05:32.7343545Z - diagnostic_context: 2023-07-07T20:05:32.7343792Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7344262Z [2023-07-07 20:05:21,812] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_12]. 2023-07-07T20:05:32.7344506Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7344515Z 2023-07-07T20:05:32.7344955Z [2023-07-07 20:05:21,812] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7345362Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7345374Z 2023-07-07T20:05:32.7345696Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7346195Z - self: 2023-07-07T20:05:32.7346552Z - node: fx.Node(transpose_12[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7346817Z - aten_name: 2023-07-07T20:05:32.7347039Z - function_overloads: 2023-07-07T20:05:32.7347294Z - onnx_args: 2023-07-07T20:05:32.7347493Z - onnx_kwargs: 2023-07-07T20:05:32.7348038Z - diagnostic_context: 2023-07-07T20:05:32.7348429Z - Return value: 2023-07-07T20:05:32.7348908Z [2023-07-07 20:05:21,814] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_12]. 2023-07-07T20:05:32.7349147Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7349159Z 2023-07-07T20:05:32.7349528Z [2023-07-07 20:05:21,814] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7349882Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7349900Z 2023-07-07T20:05:32.7350227Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7350719Z - self: 2023-07-07T20:05:32.7351064Z - node: fx.Node(clone_12[call_function]'aten.clone.default') 2023-07-07T20:05:32.7351262Z - aten_name: 2023-07-07T20:05:32.7351507Z - function_overloads: 2023-07-07T20:05:32.7351708Z - onnx_args: 2023-07-07T20:05:32.7351917Z - onnx_kwargs: 2023-07-07T20:05:32.7352467Z - diagnostic_context: 2023-07-07T20:05:32.7352742Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7353207Z [2023-07-07 20:05:21,816] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_10]. 2023-07-07T20:05:32.7353455Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7353471Z 2023-07-07T20:05:32.7353836Z [2023-07-07 20:05:21,816] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7354202Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7354220Z 2023-07-07T20:05:32.7354545Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7355142Z - self: 2023-07-07T20:05:32.7355466Z - node: fx.Node(split_10[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7355664Z - aten_name: 2023-07-07T20:05:32.7355898Z - function_overloads: 2023-07-07T20:05:32.7356102Z - onnx_args: 2023-07-07T20:05:32.7356300Z - onnx_kwargs: 2023-07-07T20:05:32.7356857Z - diagnostic_context: 2023-07-07T20:05:32.7357113Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7357611Z [2023-07-07 20:05:21,817] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_160]. 2023-07-07T20:05:32.7357844Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7357859Z 2023-07-07T20:05:32.7358213Z [2023-07-07 20:05:21,817] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7358650Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7358663Z 2023-07-07T20:05:32.7359067Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7359563Z - self: 2023-07-07T20:05:32.7359945Z - node: fx.Node(getitem_160[call_function]'') 2023-07-07T20:05:32.7360152Z - aten_name: 2023-07-07T20:05:32.7360381Z - function_overloads: 2023-07-07T20:05:32.7360641Z - onnx_args: 2023-07-07T20:05:32.7360841Z - onnx_kwargs: 2023-07-07T20:05:32.7361476Z - diagnostic_context: 2023-07-07T20:05:32.7361728Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7362217Z [2023-07-07 20:05:21,818] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_161]. 2023-07-07T20:05:32.7362471Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7362482Z 2023-07-07T20:05:32.7362848Z [2023-07-07 20:05:21,818] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7363198Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7363209Z 2023-07-07T20:05:32.7363526Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7363991Z - self: 2023-07-07T20:05:32.7364515Z - node: fx.Node(getitem_161[call_function]'') 2023-07-07T20:05:32.7364730Z - aten_name: 2023-07-07T20:05:32.7364969Z - function_overloads: 2023-07-07T20:05:32.7365180Z - onnx_args: 2023-07-07T20:05:32.7365377Z - onnx_kwargs: 2023-07-07T20:05:32.7365916Z - diagnostic_context: 2023-07-07T20:05:32.7366162Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7366657Z [2023-07-07 20:05:21,820] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_46]. 2023-07-07T20:05:32.7366910Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7366920Z 2023-07-07T20:05:32.7367264Z [2023-07-07 20:05:21,820] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7367605Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7367620Z 2023-07-07T20:05:32.7367944Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7368439Z - self: 2023-07-07T20:05:32.7368827Z - node: fx.Node(convolution_46[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7369028Z - aten_name: 2023-07-07T20:05:32.7369238Z - function_overloads: 2023-07-07T20:05:32.7369437Z - onnx_args: 2023-07-07T20:05:32.7369623Z - onnx_kwargs: 2023-07-07T20:05:32.7370084Z - diagnostic_context: 2023-07-07T20:05:32.7370424Z - Return value: 2023-07-07T20:05:32.7370972Z [2023-07-07 20:05:21,824] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_46]. 2023-07-07T20:05:32.7371240Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7371255Z 2023-07-07T20:05:32.7371593Z [2023-07-07 20:05:21,824] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7371955Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7371982Z 2023-07-07T20:05:32.7372425Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7372968Z - self: 2023-07-07T20:05:32.7373355Z - node: fx.Node(native_batch_norm_46[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7373554Z - aten_name: 2023-07-07T20:05:32.7373778Z - function_overloads: 2023-07-07T20:05:32.7373971Z - onnx_args: 2023-07-07T20:05:32.7374230Z - onnx_kwargs: 2023-07-07T20:05:32.7374786Z - diagnostic_context: 2023-07-07T20:05:32.7375223Z - Return value: 2023-07-07T20:05:32.7375722Z [2023-07-07 20:05:21,830] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_47]. 2023-07-07T20:05:32.7375965Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7375975Z 2023-07-07T20:05:32.7376313Z [2023-07-07 20:05:21,830] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7376693Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7376703Z 2023-07-07T20:05:32.7377037Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7377515Z - self: 2023-07-07T20:05:32.7377866Z - node: fx.Node(convolution_47[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7378042Z - aten_name: 2023-07-07T20:05:32.7378265Z - function_overloads: 2023-07-07T20:05:32.7378466Z - onnx_args: 2023-07-07T20:05:32.7378671Z - onnx_kwargs: 2023-07-07T20:05:32.7379224Z - diagnostic_context: 2023-07-07T20:05:32.7379586Z - Return value: 2023-07-07T20:05:32.7380080Z [2023-07-07 20:05:21,834] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_47]. 2023-07-07T20:05:32.7380341Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7380352Z 2023-07-07T20:05:32.7380694Z [2023-07-07 20:05:21,834] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7381066Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7381081Z 2023-07-07T20:05:32.7381413Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7381875Z - self: 2023-07-07T20:05:32.7382270Z - node: fx.Node(native_batch_norm_47[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7382478Z - aten_name: 2023-07-07T20:05:32.7382702Z - function_overloads: 2023-07-07T20:05:32.7382910Z - onnx_args: 2023-07-07T20:05:32.7383074Z - onnx_kwargs: 2023-07-07T20:05:32.7383633Z - diagnostic_context: 2023-07-07T20:05:32.7384020Z - Return value: 2023-07-07T20:05:32.7384495Z [2023-07-07 20:05:21,836] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_48]. 2023-07-07T20:05:32.7384751Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7384766Z 2023-07-07T20:05:32.7385100Z [2023-07-07 20:05:21,837] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7385434Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7385445Z 2023-07-07T20:05:32.7385869Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7386436Z - self: 2023-07-07T20:05:32.7386803Z - node: fx.Node(convolution_48[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7386990Z - aten_name: 2023-07-07T20:05:32.7387219Z - function_overloads: 2023-07-07T20:05:32.7387412Z - onnx_args: 2023-07-07T20:05:32.7387657Z - onnx_kwargs: 2023-07-07T20:05:32.7388177Z - diagnostic_context: 2023-07-07T20:05:32.7388621Z - Return value: 2023-07-07T20:05:32.7389153Z [2023-07-07 20:05:21,841] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_48]. 2023-07-07T20:05:32.7389421Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7389432Z 2023-07-07T20:05:32.7389788Z [2023-07-07 20:05:21,841] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7390124Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7390133Z 2023-07-07T20:05:32.7390441Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7390901Z - self: 2023-07-07T20:05:32.7391315Z - node: fx.Node(native_batch_norm_48[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7391512Z - aten_name: 2023-07-07T20:05:32.7391742Z - function_overloads: 2023-07-07T20:05:32.7391927Z - onnx_args: 2023-07-07T20:05:32.7392127Z - onnx_kwargs: 2023-07-07T20:05:32.7392598Z - diagnostic_context: 2023-07-07T20:05:32.7392924Z - Return value: 2023-07-07T20:05:32.7393330Z [2023-07-07 20:05:21,846] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_13]. 2023-07-07T20:05:32.7393559Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7393571Z 2023-07-07T20:05:32.7393914Z [2023-07-07 20:05:21,846] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7394278Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7394290Z 2023-07-07T20:05:32.7394713Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7395140Z - self: 2023-07-07T20:05:32.7395435Z - node: fx.Node(cat_13[call_function]'aten.cat.default') 2023-07-07T20:05:32.7395630Z - aten_name: 2023-07-07T20:05:32.7395857Z - function_overloads: 2023-07-07T20:05:32.7396048Z - onnx_args: 2023-07-07T20:05:32.7396246Z - onnx_kwargs: 2023-07-07T20:05:32.7396754Z - diagnostic_context: 2023-07-07T20:05:32.7396976Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7397450Z [2023-07-07 20:05:21,848] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_13]. 2023-07-07T20:05:32.7397694Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7397704Z 2023-07-07T20:05:32.7398041Z [2023-07-07 20:05:21,849] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7398421Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7398432Z 2023-07-07T20:05:32.7398862Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7399340Z - self: 2023-07-07T20:05:32.7399707Z - node: fx.Node(transpose_13[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7399903Z - aten_name: 2023-07-07T20:05:32.7400103Z - function_overloads: 2023-07-07T20:05:32.7400306Z - onnx_args: 2023-07-07T20:05:32.7400515Z - onnx_kwargs: 2023-07-07T20:05:32.7401117Z - diagnostic_context: 2023-07-07T20:05:32.7401494Z - Return value: 2023-07-07T20:05:32.7402042Z [2023-07-07 20:05:21,850] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_13]. 2023-07-07T20:05:32.7402289Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7402300Z 2023-07-07T20:05:32.7402657Z [2023-07-07 20:05:21,850] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7403022Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7403033Z 2023-07-07T20:05:32.7403355Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7403806Z - self: 2023-07-07T20:05:32.7404139Z - node: fx.Node(clone_13[call_function]'aten.clone.default') 2023-07-07T20:05:32.7404345Z - aten_name: 2023-07-07T20:05:32.7404737Z - function_overloads: 2023-07-07T20:05:32.7404955Z - onnx_args: 2023-07-07T20:05:32.7405149Z - onnx_kwargs: 2023-07-07T20:05:32.7405691Z - diagnostic_context: 2023-07-07T20:05:32.7405949Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7406372Z [2023-07-07 20:05:21,852] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_11]. 2023-07-07T20:05:32.7406597Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7406608Z 2023-07-07T20:05:32.7406962Z [2023-07-07 20:05:21,852] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7407349Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7407360Z 2023-07-07T20:05:32.7407693Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7408184Z - self: 2023-07-07T20:05:32.7408512Z - node: fx.Node(split_11[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7408721Z - aten_name: 2023-07-07T20:05:32.7408968Z - function_overloads: 2023-07-07T20:05:32.7409186Z - onnx_args: 2023-07-07T20:05:32.7409400Z - onnx_kwargs: 2023-07-07T20:05:32.7409951Z - diagnostic_context: 2023-07-07T20:05:32.7410224Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7410673Z [2023-07-07 20:05:21,853] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_171]. 2023-07-07T20:05:32.7410895Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7410904Z 2023-07-07T20:05:32.7411253Z [2023-07-07 20:05:21,853] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7411597Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7411610Z 2023-07-07T20:05:32.7411921Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7412428Z - self: 2023-07-07T20:05:32.7412928Z - node: fx.Node(getitem_171[call_function]'') 2023-07-07T20:05:32.7413136Z - aten_name: 2023-07-07T20:05:32.7413429Z - function_overloads: 2023-07-07T20:05:32.7413624Z - onnx_args: 2023-07-07T20:05:32.7413829Z - onnx_kwargs: 2023-07-07T20:05:32.7414370Z - diagnostic_context: 2023-07-07T20:05:32.7414656Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7415223Z [2023-07-07 20:05:21,855] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_172]. 2023-07-07T20:05:32.7415540Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7415552Z 2023-07-07T20:05:32.7415918Z [2023-07-07 20:05:21,855] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7416280Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7416291Z 2023-07-07T20:05:32.7416619Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7417111Z - self: 2023-07-07T20:05:32.7417489Z - node: fx.Node(getitem_172[call_function]'') 2023-07-07T20:05:32.7417697Z - aten_name: 2023-07-07T20:05:32.7417936Z - function_overloads: 2023-07-07T20:05:32.7418147Z - onnx_args: 2023-07-07T20:05:32.7418357Z - onnx_kwargs: 2023-07-07T20:05:32.7418875Z - diagnostic_context: 2023-07-07T20:05:32.7419125Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7419596Z [2023-07-07 20:05:21,856] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_49]. 2023-07-07T20:05:32.7419858Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7419869Z 2023-07-07T20:05:32.7420228Z [2023-07-07 20:05:21,856] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7420577Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7420588Z 2023-07-07T20:05:32.7420879Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7421351Z - self: 2023-07-07T20:05:32.7421737Z - node: fx.Node(convolution_49[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7421949Z - aten_name: 2023-07-07T20:05:32.7422169Z - function_overloads: 2023-07-07T20:05:32.7422364Z - onnx_args: 2023-07-07T20:05:32.7422572Z - onnx_kwargs: 2023-07-07T20:05:32.7423083Z - diagnostic_context: 2023-07-07T20:05:32.7423439Z - Return value: 2023-07-07T20:05:32.7423938Z [2023-07-07 20:05:21,861] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_49]. 2023-07-07T20:05:32.7424191Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7424201Z 2023-07-07T20:05:32.7424535Z [2023-07-07 20:05:21,861] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7424866Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7424878Z 2023-07-07T20:05:32.7425190Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7425958Z - self: 2023-07-07T20:05:32.7426474Z - node: fx.Node(native_batch_norm_49[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7426664Z - aten_name: 2023-07-07T20:05:32.7426929Z - function_overloads: 2023-07-07T20:05:32.7427126Z - onnx_args: 2023-07-07T20:05:32.7427322Z - onnx_kwargs: 2023-07-07T20:05:32.7427827Z - diagnostic_context: 2023-07-07T20:05:32.7428199Z - Return value: 2023-07-07T20:05:32.7428779Z [2023-07-07 20:05:21,866] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_50]. 2023-07-07T20:05:32.7429092Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7429106Z 2023-07-07T20:05:32.7429452Z [2023-07-07 20:05:21,866] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7429815Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7429831Z 2023-07-07T20:05:32.7430161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7430655Z - self: 2023-07-07T20:05:32.7431022Z - node: fx.Node(convolution_50[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7431198Z - aten_name: 2023-07-07T20:05:32.7431425Z - function_overloads: 2023-07-07T20:05:32.7431635Z - onnx_args: 2023-07-07T20:05:32.7431849Z - onnx_kwargs: 2023-07-07T20:05:32.7432402Z - diagnostic_context: 2023-07-07T20:05:32.7432798Z - Return value: 2023-07-07T20:05:32.7433324Z [2023-07-07 20:05:21,871] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_50]. 2023-07-07T20:05:32.7433586Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7433614Z 2023-07-07T20:05:32.7433975Z [2023-07-07 20:05:21,871] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7434344Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7434356Z 2023-07-07T20:05:32.7434776Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7435247Z - self: 2023-07-07T20:05:32.7435633Z - node: fx.Node(native_batch_norm_50[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7435831Z - aten_name: 2023-07-07T20:05:32.7436044Z - function_overloads: 2023-07-07T20:05:32.7436251Z - onnx_args: 2023-07-07T20:05:32.7436453Z - onnx_kwargs: 2023-07-07T20:05:32.7436975Z - diagnostic_context: 2023-07-07T20:05:32.7437397Z - Return value: 2023-07-07T20:05:32.7437877Z [2023-07-07 20:05:21,873] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_51]. 2023-07-07T20:05:32.7438130Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7438141Z 2023-07-07T20:05:32.7438492Z [2023-07-07 20:05:21,873] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7438860Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7438877Z 2023-07-07T20:05:32.7439192Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7439619Z - self: 2023-07-07T20:05:32.7440060Z - node: fx.Node(convolution_51[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7440260Z - aten_name: 2023-07-07T20:05:32.7440482Z - function_overloads: 2023-07-07T20:05:32.7440733Z - onnx_args: 2023-07-07T20:05:32.7440938Z - onnx_kwargs: 2023-07-07T20:05:32.7441463Z - diagnostic_context: 2023-07-07T20:05:32.7441826Z - Return value: 2023-07-07T20:05:32.7442365Z [2023-07-07 20:05:21,877] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_51]. 2023-07-07T20:05:32.7442673Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7442684Z 2023-07-07T20:05:32.7443025Z [2023-07-07 20:05:21,877] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7443370Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7443387Z 2023-07-07T20:05:32.7443713Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7444191Z - self: 2023-07-07T20:05:32.7444740Z - node: fx.Node(native_batch_norm_51[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7444928Z - aten_name: 2023-07-07T20:05:32.7445141Z - function_overloads: 2023-07-07T20:05:32.7445317Z - onnx_args: 2023-07-07T20:05:32.7445506Z - onnx_kwargs: 2023-07-07T20:05:32.7446021Z - diagnostic_context: 2023-07-07T20:05:32.7446400Z - Return value: 2023-07-07T20:05:32.7446826Z [2023-07-07 20:05:21,883] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_14]. 2023-07-07T20:05:32.7447039Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7447050Z 2023-07-07T20:05:32.7447385Z [2023-07-07 20:05:21,883] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7447700Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7447710Z 2023-07-07T20:05:32.7447988Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7448441Z - self: 2023-07-07T20:05:32.7448738Z - node: fx.Node(cat_14[call_function]'aten.cat.default') 2023-07-07T20:05:32.7448952Z - aten_name: 2023-07-07T20:05:32.7449179Z - function_overloads: 2023-07-07T20:05:32.7449362Z - onnx_args: 2023-07-07T20:05:32.7449564Z - onnx_kwargs: 2023-07-07T20:05:32.7450110Z - diagnostic_context: 2023-07-07T20:05:32.7450359Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7450827Z [2023-07-07 20:05:21,885] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_14]. 2023-07-07T20:05:32.7451092Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7451104Z 2023-07-07T20:05:32.7451463Z [2023-07-07 20:05:21,885] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7451819Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7451832Z 2023-07-07T20:05:32.7452145Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7452640Z - self: 2023-07-07T20:05:32.7452994Z - node: fx.Node(transpose_14[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7453192Z - aten_name: 2023-07-07T20:05:32.7453538Z - function_overloads: 2023-07-07T20:05:32.7453751Z - onnx_args: 2023-07-07T20:05:32.7454029Z - onnx_kwargs: 2023-07-07T20:05:32.7454600Z - diagnostic_context: 2023-07-07T20:05:32.7454984Z - Return value: 2023-07-07T20:05:32.7455435Z [2023-07-07 20:05:21,886] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_14]. 2023-07-07T20:05:32.7455721Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7455733Z 2023-07-07T20:05:32.7456100Z [2023-07-07 20:05:21,886] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7456440Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7456450Z 2023-07-07T20:05:32.7456772Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7457282Z - self: 2023-07-07T20:05:32.7457612Z - node: fx.Node(clone_14[call_function]'aten.clone.default') 2023-07-07T20:05:32.7457817Z - aten_name: 2023-07-07T20:05:32.7458040Z - function_overloads: 2023-07-07T20:05:32.7458224Z - onnx_args: 2023-07-07T20:05:32.7458406Z - onnx_kwargs: 2023-07-07T20:05:32.7458926Z - diagnostic_context: 2023-07-07T20:05:32.7459197Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7459649Z [2023-07-07 20:05:21,889] torch.onnx: [WARNING] FX Node: call_function:aten.split.Tensor[name=split_12]. 2023-07-07T20:05:32.7459881Z ONNX Node: aten_split[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7459892Z 2023-07-07T20:05:32.7460280Z [2023-07-07 20:05:21,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7460649Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7460663Z 2023-07-07T20:05:32.7460974Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7461470Z - self: 2023-07-07T20:05:32.7461789Z - node: fx.Node(split_12[call_function]'aten.split.Tensor') 2023-07-07T20:05:32.7461981Z - aten_name: 2023-07-07T20:05:32.7462199Z - function_overloads: 2023-07-07T20:05:32.7462396Z - onnx_args: 2023-07-07T20:05:32.7462597Z - onnx_kwargs: 2023-07-07T20:05:32.7463108Z - diagnostic_context: 2023-07-07T20:05:32.7463372Z - Return value: `OnnxFunction(aten_split)` 2023-07-07T20:05:32.7463868Z [2023-07-07 20:05:21,890] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_182]. 2023-07-07T20:05:32.7464116Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7464129Z 2023-07-07T20:05:32.7464490Z [2023-07-07 20:05:21,890] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7464861Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7464871Z 2023-07-07T20:05:32.7465206Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7465708Z - self: 2023-07-07T20:05:32.7466068Z - node: fx.Node(getitem_182[call_function]'') 2023-07-07T20:05:32.7466266Z - aten_name: 2023-07-07T20:05:32.7466480Z - function_overloads: 2023-07-07T20:05:32.7466657Z - onnx_args: 2023-07-07T20:05:32.7466950Z - onnx_kwargs: 2023-07-07T20:05:32.7467464Z - diagnostic_context: 2023-07-07T20:05:32.7467768Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7468228Z [2023-07-07 20:05:21,891] torch.onnx: [WARNING] FX Node: call_function:[name=getitem_183]. 2023-07-07T20:05:32.7468465Z ONNX Node: aten_getitem[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7468477Z 2023-07-07T20:05:32.7468912Z [2023-07-07 20:05:21,891] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7469249Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7469308Z 2023-07-07T20:05:32.7469602Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7470066Z - self: 2023-07-07T20:05:32.7470419Z - node: fx.Node(getitem_183[call_function]'') 2023-07-07T20:05:32.7470595Z - aten_name: 2023-07-07T20:05:32.7470832Z - function_overloads: 2023-07-07T20:05:32.7471044Z - onnx_args: 2023-07-07T20:05:32.7471253Z - onnx_kwargs: 2023-07-07T20:05:32.7471777Z - diagnostic_context: 2023-07-07T20:05:32.7472019Z - Return value: `OnnxFunction(aten_getitem)` 2023-07-07T20:05:32.7472526Z [2023-07-07 20:05:21,893] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_52]. 2023-07-07T20:05:32.7472771Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7472780Z 2023-07-07T20:05:32.7473130Z [2023-07-07 20:05:21,893] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7473514Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7473525Z 2023-07-07T20:05:32.7473853Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7474317Z - self: 2023-07-07T20:05:32.7474784Z - node: fx.Node(convolution_52[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7474998Z - aten_name: 2023-07-07T20:05:32.7475198Z - function_overloads: 2023-07-07T20:05:32.7475392Z - onnx_args: 2023-07-07T20:05:32.7475580Z - onnx_kwargs: 2023-07-07T20:05:32.7476081Z - diagnostic_context: 2023-07-07T20:05:32.7476459Z - Return value: 2023-07-07T20:05:32.7476980Z [2023-07-07 20:05:21,897] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_52]. 2023-07-07T20:05:32.7477236Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7477247Z 2023-07-07T20:05:32.7477554Z [2023-07-07 20:05:21,897] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7477872Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7477882Z 2023-07-07T20:05:32.7478177Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7478668Z - self: 2023-07-07T20:05:32.7479047Z - node: fx.Node(native_batch_norm_52[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7479249Z - aten_name: 2023-07-07T20:05:32.7479466Z - function_overloads: 2023-07-07T20:05:32.7479666Z - onnx_args: 2023-07-07T20:05:32.7479871Z - onnx_kwargs: 2023-07-07T20:05:32.7480499Z - diagnostic_context: 2023-07-07T20:05:32.7480934Z - Return value: 2023-07-07T20:05:32.7481429Z [2023-07-07 20:05:21,903] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_53]. 2023-07-07T20:05:32.7481684Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7481696Z 2023-07-07T20:05:32.7482058Z [2023-07-07 20:05:21,903] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7482484Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7482548Z 2023-07-07T20:05:32.7482880Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7483349Z - self: 2023-07-07T20:05:32.7483710Z - node: fx.Node(convolution_53[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7483879Z - aten_name: 2023-07-07T20:05:32.7484116Z - function_overloads: 2023-07-07T20:05:32.7484323Z - onnx_args: 2023-07-07T20:05:32.7484689Z - onnx_kwargs: 2023-07-07T20:05:32.7485232Z - diagnostic_context: 2023-07-07T20:05:32.7485621Z - Return value: 2023-07-07T20:05:32.7486146Z [2023-07-07 20:05:21,907] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_53]. 2023-07-07T20:05:32.7486394Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7486422Z 2023-07-07T20:05:32.7486754Z [2023-07-07 20:05:21,907] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7487104Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7487115Z 2023-07-07T20:05:32.7487429Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7487894Z - self: 2023-07-07T20:05:32.7488284Z - node: fx.Node(native_batch_norm_53[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7488473Z - aten_name: 2023-07-07T20:05:32.7488693Z - function_overloads: 2023-07-07T20:05:32.7488895Z - onnx_args: 2023-07-07T20:05:32.7489088Z - onnx_kwargs: 2023-07-07T20:05:32.7489606Z - diagnostic_context: 2023-07-07T20:05:32.7489959Z - Return value: 2023-07-07T20:05:32.7490450Z [2023-07-07 20:05:21,910] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_54]. 2023-07-07T20:05:32.7490717Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7490728Z 2023-07-07T20:05:32.7491098Z [2023-07-07 20:05:21,910] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7491483Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7491494Z 2023-07-07T20:05:32.7501077Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7501659Z - self: 2023-07-07T20:05:32.7502070Z - node: fx.Node(convolution_54[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7502280Z - aten_name: 2023-07-07T20:05:32.7502514Z - function_overloads: 2023-07-07T20:05:32.7502725Z - onnx_args: 2023-07-07T20:05:32.7502927Z - onnx_kwargs: 2023-07-07T20:05:32.7503587Z - diagnostic_context: 2023-07-07T20:05:32.7504022Z - Return value: 2023-07-07T20:05:32.7504532Z [2023-07-07 20:05:21,914] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_54]. 2023-07-07T20:05:32.7504812Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7504825Z 2023-07-07T20:05:32.7505182Z [2023-07-07 20:05:21,914] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7505618Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7505706Z 2023-07-07T20:05:32.7506017Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7506479Z - self: 2023-07-07T20:05:32.7506878Z - node: fx.Node(native_batch_norm_54[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7507080Z - aten_name: 2023-07-07T20:05:32.7507283Z - function_overloads: 2023-07-07T20:05:32.7507479Z - onnx_args: 2023-07-07T20:05:32.7507673Z - onnx_kwargs: 2023-07-07T20:05:32.7508211Z - diagnostic_context: 2023-07-07T20:05:32.7508586Z - Return value: 2023-07-07T20:05:32.7509026Z [2023-07-07 20:05:21,919] torch.onnx: [WARNING] FX Node: call_function:aten.cat.default[name=cat_15]. 2023-07-07T20:05:32.7509257Z ONNX Node: aten_cat[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7509267Z 2023-07-07T20:05:32.7509626Z [2023-07-07 20:05:21,919] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7509963Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7509996Z 2023-07-07T20:05:32.7510321Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7510794Z - self: 2023-07-07T20:05:32.7511087Z - node: fx.Node(cat_15[call_function]'aten.cat.default') 2023-07-07T20:05:32.7511286Z - aten_name: 2023-07-07T20:05:32.7511522Z - function_overloads: 2023-07-07T20:05:32.7511745Z - onnx_args: 2023-07-07T20:05:32.7511963Z - onnx_kwargs: 2023-07-07T20:05:32.7512506Z - diagnostic_context: 2023-07-07T20:05:32.7512774Z - Return value: `OnnxFunction(aten_cat)` 2023-07-07T20:05:32.7513256Z [2023-07-07 20:05:21,922] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose_15]. 2023-07-07T20:05:32.7513513Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7513527Z 2023-07-07T20:05:32.7513873Z [2023-07-07 20:05:21,922] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7514227Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7514237Z 2023-07-07T20:05:32.7514566Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7515175Z - self: 2023-07-07T20:05:32.7515531Z - node: fx.Node(transpose_15[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7515721Z - aten_name: 2023-07-07T20:05:32.7515961Z - function_overloads: 2023-07-07T20:05:32.7516176Z - onnx_args: 2023-07-07T20:05:32.7516389Z - onnx_kwargs: 2023-07-07T20:05:32.7516898Z - diagnostic_context: 2023-07-07T20:05:32.7517379Z - Return value: 2023-07-07T20:05:32.7517884Z [2023-07-07 20:05:21,923] torch.onnx: [WARNING] FX Node: call_function:aten.clone.default[name=clone_15]. 2023-07-07T20:05:32.7518107Z ONNX Node: aten_clone[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7518140Z 2023-07-07T20:05:32.7518484Z [2023-07-07 20:05:21,923] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7518829Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7518902Z 2023-07-07T20:05:32.7519185Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7519687Z - self: 2023-07-07T20:05:32.7519986Z - node: fx.Node(clone_15[call_function]'aten.clone.default') 2023-07-07T20:05:32.7520179Z - aten_name: 2023-07-07T20:05:32.7520426Z - function_overloads: 2023-07-07T20:05:32.7520637Z - onnx_args: 2023-07-07T20:05:32.7520845Z - onnx_kwargs: 2023-07-07T20:05:32.7521413Z - diagnostic_context: 2023-07-07T20:05:32.7521688Z - Return value: `OnnxFunction(aten_clone)` 2023-07-07T20:05:32.7522223Z [2023-07-07 20:05:21,926] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_55]. 2023-07-07T20:05:32.7522504Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7522514Z 2023-07-07T20:05:32.7522880Z [2023-07-07 20:05:21,926] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7523273Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7523283Z 2023-07-07T20:05:32.7523631Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7524139Z - self: 2023-07-07T20:05:32.7524689Z - node: fx.Node(convolution_55[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7524914Z - aten_name: 2023-07-07T20:05:32.7525166Z - function_overloads: 2023-07-07T20:05:32.7525387Z - onnx_args: 2023-07-07T20:05:32.7525610Z - onnx_kwargs: 2023-07-07T20:05:32.7526177Z - diagnostic_context: 2023-07-07T20:05:32.7526575Z - Return value: 2023-07-07T20:05:32.7527119Z [2023-07-07 20:05:21,930] torch.onnx: [WARNING] FX Node: call_function:aten.native_batch_norm.default[name=native_batch_norm_55]. 2023-07-07T20:05:32.7527404Z ONNX Node: aten_native_batch_norm[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7527414Z 2023-07-07T20:05:32.7527777Z [2023-07-07 20:05:21,930] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7528164Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7528173Z 2023-07-07T20:05:32.7528522Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7529020Z - self: 2023-07-07T20:05:32.7529445Z - node: fx.Node(native_batch_norm_55[call_function]'aten.native_batch_norm.default') 2023-07-07T20:05:32.7529658Z - aten_name: 2023-07-07T20:05:32.7529911Z - function_overloads: 2023-07-07T20:05:32.7530110Z - onnx_args: 2023-07-07T20:05:32.7530329Z - onnx_kwargs: 2023-07-07T20:05:32.7530890Z - diagnostic_context: 2023-07-07T20:05:32.7531405Z - Return value: 2023-07-07T20:05:32.7532245Z 2023-07-07 20:05:22.058629238 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1377'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7533022Z 2023-07-07 20:05:22.058662811 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1347'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7533792Z 2023-07-07 20:05:22.058669912 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1328'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7534664Z 2023-07-07 20:05:22.058676031 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1306'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7535424Z 2023-07-07 20:05:22.058682392 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1270'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7536189Z 2023-07-07 20:05:22.058689922 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1193'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7536925Z 2023-07-07 20:05:22.058696139 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1174'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7537687Z 2023-07-07 20:05:22.058703137 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1116'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7538445Z 2023-07-07 20:05:22.058708533 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1097'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7539213Z 2023-07-07 20:05:22.058714966 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1053'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7539974Z 2023-07-07 20:05:22.058726153 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '383'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7540737Z 2023-07-07 20:05:22.058738501 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1251'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7541499Z 2023-07-07 20:05:22.058743930 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '276'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7542268Z 2023-07-07 20:05:22.058755942 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '542'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7543030Z 2023-07-07 20:05:22.058768753 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '199'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7543784Z 2023-07-07 20:05:22.058775103 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '501'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7544547Z 2023-07-07 20:05:22.058783021 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1229'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7545316Z 2023-07-07 20:05:22.058790687 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '59'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7546160Z 2023-07-07 20:05:22.058796663 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1152'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7546977Z 2023-07-07 20:05:22.058801858 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '122'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7547742Z 2023-07-07 20:05:22.058817157 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '600'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7548528Z 2023-07-07 20:05:22.058827964 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '523'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7549326Z 2023-07-07 20:05:22.058846655 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '809'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7550087Z 2023-07-07 20:05:22.058855409 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '696'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7550840Z 2023-07-07 20:05:22.058861421 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '424'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7551587Z 2023-07-07 20:05:22.058867170 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '235'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7552339Z 2023-07-07 20:05:22.058879271 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '773'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7553098Z 2023-07-07 20:05:22.058887086 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '446'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7553861Z 2023-07-07 20:05:22.058894948 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1004'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7554700Z 2023-07-07 20:05:22.058904224 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '16'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7555456Z 2023-07-07 20:05:22.058910023 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '40'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7556212Z 2023-07-07 20:05:22.058917871 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '81'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7556976Z 2023-07-07 20:05:22.058923698 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '103'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7557736Z 2023-07-07 20:05:22.058933150 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '158'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7558491Z 2023-07-07 20:05:22.058939231 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '578'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7559231Z 2023-07-07 20:05:22.058944745 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '180'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7559977Z 2023-07-07 20:05:22.058951961 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '850'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7560881Z 2023-07-07 20:05:22.058959625 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '257'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7561644Z 2023-07-07 20:05:22.058964885 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '312'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7562385Z 2023-07-07 20:05:22.058970468 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '619'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7563028Z 2023-07-07 20:05:22.058979285 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1075'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7563687Z 2023-07-07 20:05:22.058984819 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '402'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7564304Z 2023-07-07 20:05:22.058993183 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '831'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7565082Z 2023-07-07 20:05:22.058998538 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '465'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7565695Z 2023-07-07 20:05:22.059006624 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '908'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7566334Z 2023-07-07 20:05:22.059013793 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '353'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7566926Z 2023-07-07 20:05:22.059019383 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '655'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7567559Z 2023-07-07 20:05:22.059027594 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '334'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7568153Z 2023-07-07 20:05:22.059032893 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '732'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7568748Z 2023-07-07 20:05:22.059038833 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '754'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7569350Z 2023-07-07 20:05:22.059045866 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '886'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7569969Z 2023-07-07 20:05:22.059052061 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '927'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7570575Z 2023-07-07 20:05:22.059059128 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '677'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7571181Z 2023-07-07 20:05:22.059064291 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '963'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7571769Z 2023-07-07 20:05:22.059070283 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '985'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7572392Z 2023-07-07 20:05:22.059075443 [W:onnxruntime:, graph.cc:3543 CleanUnusedInitializersAndNodeArgs] Removing initializer '1034'. It is not used by any node and should be removed from the model. 2023-07-07T20:05:32.7572629Z XFAIL [13.3753s] [ 93%] 2023-07-07T20:05:32.7573083Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_sigmoid_add PASSED [0.0915s] [ 94%] 2023-07-07T20:05:32.7573466Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_simple_function PASSED [0.0484s] [ 95%] 2023-07-07T20:05:32.7574199Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_slice [2023-07-07 20:05:29,751] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_1]. 2023-07-07T20:05:32.7574497Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7574508Z 2023-07-07T20:05:32.7574807Z [2023-07-07 20:05:29,751] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7575111Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7575121Z 2023-07-07T20:05:32.7575369Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7575763Z - self: 2023-07-07T20:05:32.7576034Z - node: fx.Node(slice_1[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7576197Z - aten_name: 2023-07-07T20:05:32.7576379Z - function_overloads: 2023-07-07T20:05:32.7576551Z - onnx_args: 2023-07-07T20:05:32.7576723Z - onnx_kwargs: 2023-07-07T20:05:32.7577180Z - diagnostic_context: 2023-07-07T20:05:32.7577505Z - Return value: 2023-07-07T20:05:32.7577875Z [2023-07-07 20:05:29,754] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_2]. 2023-07-07T20:05:32.7578076Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7578086Z 2023-07-07T20:05:32.7578384Z [2023-07-07 20:05:29,754] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7578689Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7578699Z 2023-07-07T20:05:32.7578972Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7579367Z - self: 2023-07-07T20:05:32.7579647Z - node: fx.Node(slice_2[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7579803Z - aten_name: 2023-07-07T20:05:32.7580003Z - function_overloads: 2023-07-07T20:05:32.7580173Z - onnx_args: 2023-07-07T20:05:32.7580342Z - onnx_kwargs: 2023-07-07T20:05:32.7580790Z - diagnostic_context: 2023-07-07T20:05:32.7581110Z - Return value: 2023-07-07T20:05:32.7581503Z [2023-07-07 20:05:29,756] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_3]. 2023-07-07T20:05:32.7581716Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7581726Z 2023-07-07T20:05:32.7582003Z [2023-07-07 20:05:29,757] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7582324Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7582334Z 2023-07-07T20:05:32.7582607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7583005Z - self: 2023-07-07T20:05:32.7583277Z - node: fx.Node(slice_3[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7583448Z - aten_name: 2023-07-07T20:05:32.7583740Z - function_overloads: 2023-07-07T20:05:32.7583920Z - onnx_args: 2023-07-07T20:05:32.7584174Z - onnx_kwargs: 2023-07-07T20:05:32.7584629Z - diagnostic_context: 2023-07-07T20:05:32.7584942Z - Return value: 2023-07-07T20:05:32.7585329Z [2023-07-07 20:05:29,759] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_4]. 2023-07-07T20:05:32.7585568Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7585578Z 2023-07-07T20:05:32.7585915Z [2023-07-07 20:05:29,759] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7586224Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7586235Z 2023-07-07T20:05:32.7586524Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7586931Z - self: 2023-07-07T20:05:32.7587186Z - node: fx.Node(slice_4[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7587350Z - aten_name: 2023-07-07T20:05:32.7587540Z - function_overloads: 2023-07-07T20:05:32.7587703Z - onnx_args: 2023-07-07T20:05:32.7587876Z - onnx_kwargs: 2023-07-07T20:05:32.7588327Z - diagnostic_context: 2023-07-07T20:05:32.7588641Z - Return value: 2023-07-07T20:05:32.7589001Z [2023-07-07 20:05:29,762] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_5]. 2023-07-07T20:05:32.7589216Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7589226Z 2023-07-07T20:05:32.7589558Z [2023-07-07 20:05:29,762] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7589857Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7589865Z 2023-07-07T20:05:32.7590161Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7590580Z - self: 2023-07-07T20:05:32.7590835Z - node: fx.Node(slice_5[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7591007Z - aten_name: 2023-07-07T20:05:32.7591198Z - function_overloads: 2023-07-07T20:05:32.7591361Z - onnx_args: 2023-07-07T20:05:32.7591534Z - onnx_kwargs: 2023-07-07T20:05:32.7591959Z - diagnostic_context: 2023-07-07T20:05:32.7592267Z - Return value: 2023-07-07T20:05:32.7592646Z [2023-07-07 20:05:29,765] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_6]. 2023-07-07T20:05:32.7592850Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7592860Z 2023-07-07T20:05:32.7593151Z [2023-07-07 20:05:29,765] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7593447Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7593459Z 2023-07-07T20:05:32.7593696Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7594067Z - self: 2023-07-07T20:05:32.7594336Z - node: fx.Node(slice_6[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7594506Z - aten_name: 2023-07-07T20:05:32.7594795Z - function_overloads: 2023-07-07T20:05:32.7594971Z - onnx_args: 2023-07-07T20:05:32.7595241Z - onnx_kwargs: 2023-07-07T20:05:32.7595722Z - diagnostic_context: 2023-07-07T20:05:32.7596045Z - Return value: 2023-07-07T20:05:32.7596435Z [2023-07-07 20:05:29,767] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_7]. 2023-07-07T20:05:32.7596626Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7596680Z 2023-07-07T20:05:32.7596968Z [2023-07-07 20:05:29,767] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7597261Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7597337Z 2023-07-07T20:05:32.7597607Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7598023Z - self: 2023-07-07T20:05:32.7598300Z - node: fx.Node(slice_7[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7598466Z - aten_name: 2023-07-07T20:05:32.7598666Z - function_overloads: 2023-07-07T20:05:32.7598857Z - onnx_args: 2023-07-07T20:05:32.7599039Z - onnx_kwargs: 2023-07-07T20:05:32.7599500Z - diagnostic_context: 2023-07-07T20:05:32.7599823Z - Return value: 2023-07-07T20:05:32.7600205Z [2023-07-07 20:05:29,770] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_8]. 2023-07-07T20:05:32.7600409Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7600418Z 2023-07-07T20:05:32.7600699Z [2023-07-07 20:05:29,770] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7601007Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7601014Z 2023-07-07T20:05:32.7601274Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7601683Z - self: 2023-07-07T20:05:32.7601954Z - node: fx.Node(slice_8[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7602165Z - aten_name: 2023-07-07T20:05:32.7602415Z - function_overloads: 2023-07-07T20:05:32.7602636Z - onnx_args: 2023-07-07T20:05:32.7602840Z - onnx_kwargs: 2023-07-07T20:05:32.7603405Z - diagnostic_context: 2023-07-07T20:05:32.7603760Z - Return value: 2023-07-07T20:05:32.7604152Z [2023-07-07 20:05:29,773] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_9]. 2023-07-07T20:05:32.7604510Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7604522Z 2023-07-07T20:05:32.7604812Z [2023-07-07 20:05:29,773] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7605080Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7605089Z 2023-07-07T20:05:32.7605330Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7605745Z - self: 2023-07-07T20:05:32.7606007Z - node: fx.Node(slice_9[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7606194Z - aten_name: 2023-07-07T20:05:32.7606408Z - function_overloads: 2023-07-07T20:05:32.7606598Z - onnx_args: 2023-07-07T20:05:32.7606785Z - onnx_kwargs: 2023-07-07T20:05:32.7607401Z - diagnostic_context: 2023-07-07T20:05:32.7607719Z - Return value: 2023-07-07T20:05:32.7608174Z [2023-07-07 20:05:29,775] torch.onnx: [WARNING] FX Node: call_function:aten.slice.Tensor[name=slice_10]. 2023-07-07T20:05:32.7608394Z ONNX Node: aten_slice[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7608405Z 2023-07-07T20:05:32.7608703Z [2023-07-07 20:05:29,775] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7609095Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7609106Z 2023-07-07T20:05:32.7609438Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7609848Z - self: 2023-07-07T20:05:32.7610127Z - node: fx.Node(slice_10[call_function]'aten.slice.Tensor') 2023-07-07T20:05:32.7610307Z - aten_name: 2023-07-07T20:05:32.7610507Z - function_overloads: 2023-07-07T20:05:32.7610675Z - onnx_args: 2023-07-07T20:05:32.7610860Z - onnx_kwargs: 2023-07-07T20:05:32.7611328Z - diagnostic_context: 2023-07-07T20:05:32.7611644Z - Return value: 2023-07-07T20:05:32.7611766Z PASSED [0.1282s] [ 96%] 2023-07-07T20:05:32.7612178Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_squeeze_runtime_dim XFAIL [0.0181s] [ 97%] 2023-07-07T20:05:32.7612995Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_transpose_infer_shape [2023-07-07 20:05:29,889] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:32.7613225Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7613239Z 2023-07-07T20:05:32.7613537Z [2023-07-07 20:05:29,889] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7613827Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7613836Z 2023-07-07T20:05:32.7614113Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7614505Z - self: 2023-07-07T20:05:32.7614835Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:32.7615014Z - aten_name: 2023-07-07T20:05:32.7615209Z - function_overloads: 2023-07-07T20:05:32.7615389Z - onnx_args: 2023-07-07T20:05:32.7615556Z - onnx_kwargs: 2023-07-07T20:05:32.7615939Z - diagnostic_context: 2023-07-07T20:05:32.7616237Z - Return value: 2023-07-07T20:05:32.7616639Z [2023-07-07 20:05:29,891] torch.onnx: [WARNING] FX Node: call_function:aten.transpose.int[name=transpose]. 2023-07-07T20:05:32.7616853Z ONNX Node: aten_transpose[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:32.7616863Z 2023-07-07T20:05:32.7617162Z [2023-07-07 20:05:29,891] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:32.7617472Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:32.7617486Z 2023-07-07T20:05:32.7617766Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:32.7618147Z - self: 2023-07-07T20:05:32.7618433Z - node: fx.Node(transpose[call_function]'aten.transpose.int') 2023-07-07T20:05:32.7618597Z - aten_name: 2023-07-07T20:05:32.7618900Z - function_overloads: 2023-07-07T20:05:32.7619089Z - onnx_args: 2023-07-07T20:05:32.7619309Z - onnx_kwargs: 2023-07-07T20:05:32.7619739Z - diagnostic_context: 2023-07-07T20:05:32.7620046Z - Return value: 2023-07-07T20:05:32.7620165Z PASSED [0.0863s] [ 98%] 2023-07-07T20:05:32.7620555Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_view_dynamic_zero_dim PASSED [0.0458s] [ 99%] 2023-07-07T20:05:32.7621042Z onnx/test_fx_to_onnx_with_onnxruntime.py::TestFxToOnnxWithOnnxRuntime_op_level_debug_False_dynamic_shapes_False::test_xfail_func_with_non_tensor_args XFAIL [0.0533s] [100%] 2023-07-07T20:05:32.7621052Z 2023-07-07T20:05:32.7621688Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_fx_to_onnx_with_onnxruntime/onnx.test_fx_to_onnx_with_onnxruntime-530f37bf08510e84.xml - 2023-07-07T20:05:32.7621882Z ============ 73 passed, 7 skipped, 28 xfailed in 357.33s (0:05:57) ============= 2023-07-07T20:05:32.7621895Z 2023-07-07T20:05:32.7622396Z ##[endgroup] 2023-07-07T20:05:32.7622949Z FINISHED PRINTING LOG FILE of onnx/test_fx_to_onnx_with_onnxruntime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_to_onnx_with_onnxruntime_z0po2oya.log) 2023-07-07T20:05:32.7622958Z 2023-07-07T20:05:34.1799045Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:05:34.1807052Z Ignoring disabled issues: [''] 2023-07-07T20:05:35.4362764Z Running onnx/test_op_consistency 1/1 ... [2023-07-07 20:05:35.435799] 2023-07-07T20:05:35.4363630Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_op_consistency.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_op_consistency_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:05:35.436064] 2023-07-07T20:05:38.7326512Z 2023-07-07T20:05:38.7327138Z Expand the folded group to see the log file of onnx/test_pytorch_onnx_onnxruntime 2/2 2023-07-07T20:05:38.7328427Z ##[group]PRINTING LOG FILE of onnx/test_pytorch_onnx_onnxruntime 2/2 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_onnx_onnxruntime_itkka5se.log) 2023-07-07T20:05:38.7475381Z Test results will be stored in test-reports/python-pytest/onnx.test_pytorch_onnx_onnxruntime/onnx.test_pytorch_onnx_onnxruntime-d2ddb2f7badfa712.xml 2023-07-07T20:05:38.7476385Z ============================= test session starts ============================== 2023-07-07T20:05:38.7477546Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:05:38.7478022Z cachedir: .pytest_cache 2023-07-07T20:05:38.7478785Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:05:38.7479371Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:05:38.7479702Z configfile: pytest.ini 2023-07-07T20:05:38.7480442Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:05:38.7480959Z collecting ... collected 37280 items 2023-07-07T20:05:38.7489547Z Running 18642 items in this shard: test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.7494417Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.7494623Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.7494746Z 2023-07-07T20:05:38.7494881Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.7495133Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.7495961Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.7496533Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.7496807Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.7497078Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.7497204Z 2023-07-07T20:05:38.7497281Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.7497571Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.7497832Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.7498123Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.7498253Z 2023-07-07T20:05:38.7498401Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.7498666Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.7498936Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.7499197Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.7499320Z 2023-07-07T20:05:38.7499325Z 2023-07-07T20:05:38.7499471Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.7499735Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.7499985Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.7500249Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.7500373Z 2023-07-07T20:05:38.7500521Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.7500782Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.7501039Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.7501301Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.7501425Z 2023-07-07T20:05:38.7501512Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.7501767Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.7502028Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.7503251Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.7504510Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.7505043Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.7505317Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.7505591Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.7505713Z 2023-07-07T20:05:38.7505836Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.7506102Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.7506373Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.7506628Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.7506756Z 2023-07-07T20:05:38.7506910Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.7507218Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.7507487Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.7507792Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.7507925Z 2023-07-07T20:05:38.7507930Z 2023-07-07T20:05:38.7508132Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.7508419Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.7508688Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.7508945Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.7509101Z 2023-07-07T20:05:38.7509249Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.7509513Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.7509800Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.7510070Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.7510197Z 2023-07-07T20:05:38.7510288Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.7510560Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.7510809Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.7512010Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.7512781Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.7512982Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.7513106Z 2023-07-07T20:05:38.7513248Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.7513488Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.7514277Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.7514926Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.7515201Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.7515461Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.7515593Z 2023-07-07T20:05:38.7515681Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.7515969Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.7516241Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.7516502Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.7516682Z 2023-07-07T20:05:38.7516835Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.7517105Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.7517359Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.7517626Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.7517750Z 2023-07-07T20:05:38.7517754Z 2023-07-07T20:05:38.7517899Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.7518166Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.7518413Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.7518685Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.7518807Z 2023-07-07T20:05:38.7518955Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.7519202Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.7519508Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.7519776Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.7519929Z 2023-07-07T20:05:38.7520005Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.7520263Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.7520520Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.7743982Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_auto_grad, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.7886488Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.7887432Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.7887557Z 2023-07-07T20:05:38.7887706Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.7887964Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.7890498Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.7892562Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.7893359Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.8303115Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.8303692Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.8303895Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.8304013Z 2023-07-07T20:05:38.8304152Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.8304388Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.8305593Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.8306804Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.8307314Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.8307745Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.8307870Z 2023-07-07T20:05:38.8308061Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.8308300Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.8309071Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.8309670Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.8309985Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.8310240Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.8310365Z 2023-07-07T20:05:38.8310447Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.8310707Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.8310970Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.8311229Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.8311352Z 2023-07-07T20:05:38.8311499Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.8311760Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.8312009Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.8312276Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.8312403Z 2023-07-07T20:05:38.8312408Z 2023-07-07T20:05:38.8312553Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.8312810Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.8313057Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.8313321Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.8313442Z 2023-07-07T20:05:38.8313589Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.8313834Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.8314085Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.8314347Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.8314471Z 2023-07-07T20:05:38.8314557Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.8314897Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.8315164Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.8516801Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_trace_script, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.8679475Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.8679798Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.8679974Z 2023-07-07T20:05:38.8680173Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.8680542Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.8681731Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.8955155Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.8955724Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.8955925Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.8956034Z 2023-07-07T20:05:38.8956183Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.8956444Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.8957238Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.8957777Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.8958031Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.8958302Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.8958427Z 2023-07-07T20:05:38.8958515Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.8958774Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.8959025Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.8959288Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.8959415Z 2023-07-07T20:05:38.8959564Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.8959813Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.8960075Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.8960340Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.8960467Z 2023-07-07T20:05:38.8960472Z 2023-07-07T20:05:38.8960616Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.8960865Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.8961126Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.8961389Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.8961497Z 2023-07-07T20:05:38.8961642Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.8962054Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.8962372Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.8962625Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.8962750Z 2023-07-07T20:05:38.8962840Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.8963100Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.8963365Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.8964180Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.8964887Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.8965092Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.8965211Z 2023-07-07T20:05:38.8965349Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.8965583Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.8966354Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.8966895Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.8967164Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.8967415Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.8967537Z 2023-07-07T20:05:38.8967623Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.8967883Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.8968145Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.8968400Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.8968523Z 2023-07-07T20:05:38.8968671Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.8968929Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.8969178Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.8969447Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.8969572Z 2023-07-07T20:05:38.8969577Z 2023-07-07T20:05:38.8969721Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.8969979Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.8970224Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.8970484Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.8970605Z 2023-07-07T20:05:38.8970750Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.8970999Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.8971260Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.8971522Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.8971647Z 2023-07-07T20:05:38.8971732Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.8971976Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.8972237Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.8973911Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.8975420Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.8975966Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.8976164Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.8976283Z 2023-07-07T20:05:38.8976406Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.8976653Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.9136800Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.9231566Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.9231858Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.9232133Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.9232276Z 2023-07-07T20:05:38.9232366Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.9232631Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.9232882Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.9233146Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.9233277Z 2023-07-07T20:05:38.9233424Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.9233676Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.9233943Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.9234209Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.9234334Z 2023-07-07T20:05:38.9234339Z 2023-07-07T20:05:38.9234485Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.9234790Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.9235052Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.9235317Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.9235440Z 2023-07-07T20:05:38.9235571Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.9235839Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.9236105Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.9236376Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.9236491Z 2023-07-07T20:05:38.9236580Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.9236838Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.9237096Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.9238742Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.9240412Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.9240978Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.9241172Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.9241291Z 2023-07-07T20:05:38.9241427Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.9241675Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.9242836Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.9399437Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.9510101Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.9510374Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.9510634Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.9510761Z 2023-07-07T20:05:38.9510855Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.9511119Z 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2023-07-07T20:05:38.9514738Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.9515008Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.9515276Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.9515400Z 2023-07-07T20:05:38.9515479Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.9515742Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.9516008Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.9516812Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.9517362Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.9517619Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.9517883Z [ 0_3692, -0_0552, -0_6125, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:38.9786854Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:38.9787275Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:38.9787663Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:38.9787867Z 2023-07-07T20:05:38.9788002Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:38.9788395Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:38.9788804Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:38.9789192Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:38.9789381Z 2023-07-07T20:05:38.9789604Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:38.9790242Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:38.9790696Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:38.9791100Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:38.9791287Z 2023-07-07T20:05:38.9791294Z 2023-07-07T20:05:38.9791512Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:38.9791902Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:38.9792345Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:38.9792745Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:38.9792983Z 2023-07-07T20:05:38.9793203Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:38.9793577Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:38.9793971Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:38.9794370Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:38.9794557Z 2023-07-07T20:05:38.9794760Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:38.9795142Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:38.9795535Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:38.9798067Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.9800317Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.9801089Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.9801388Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.9801563Z 2023-07-07T20:05:38.9801752Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.9802124Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.9803918Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:38.9805870Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:38.9806641Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:38.9806934Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:38.9807113Z 2023-07-07T20:05:38.9807298Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:38.9807733Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:38.9971052Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.0072159Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.0072529Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.0072655Z 2023-07-07T20:05:39.0072797Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.0073045Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.0073873Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.0074520Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.0074834Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.0075104Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.0075237Z 2023-07-07T20:05:39.0075328Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.0075580Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.0075846Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.0076117Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.0076245Z 2023-07-07T20:05:39.0076379Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.0076651Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.0076914Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.0077181Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.0077293Z 2023-07-07T20:05:39.0077310Z 2023-07-07T20:05:39.0077441Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.0077698Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.0077962Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.0078213Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.0078339Z 2023-07-07T20:05:39.0078482Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.0078737Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.0078998Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.0079246Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.0079370Z 2023-07-07T20:05:39.0079458Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.0079716Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.0079965Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.0081558Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.0083016Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.0084082Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.0084747Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.0084933Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.0085053Z 2023-07-07T20:05:39.0085237Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.0085486Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.0086297Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.0086834Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.0087099Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.0087364Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.0087489Z 2023-07-07T20:05:39.0087563Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.0087819Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.0088085Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.0088357Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.0088471Z 2023-07-07T20:05:39.0088619Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.0088877Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.0089138Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.0089390Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.0089515Z 2023-07-07T20:05:39.0089522Z 2023-07-07T20:05:39.0089667Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.0089928Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.0090188Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.0090438Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.0090561Z 2023-07-07T20:05:39.0090705Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.0090965Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.0091215Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.0091479Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.0091602Z 2023-07-07T20:05:39.0091688Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.0091935Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.0092201Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.0238057Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.0334200Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.0334739Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.0334927Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.0335050Z 2023-07-07T20:05:39.0335192Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.0335441Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.0336247Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.0336792Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.0337051Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.0337321Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.0337447Z 2023-07-07T20:05:39.0337538Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.0337788Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.0338056Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.0338328Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.0338456Z 2023-07-07T20:05:39.0338596Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.0338868Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.0339132Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.0339404Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.0339516Z 2023-07-07T20:05:39.0339719Z 2023-07-07T20:05:39.0339853Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.0340158Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.0340425Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.0340678Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.0340806Z 2023-07-07T20:05:39.0340952Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.0341265Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.0341530Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.0341825Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.0341948Z 2023-07-07T20:05:39.0342041Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.0342300Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.0342552Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.0343738Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.0344974Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.0345494Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.0345694Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.0345813Z 2023-07-07T20:05:39.0345948Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.0346181Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.0550668Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_normalize, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.0659524Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.0661527Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.0662311Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.0662716Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.0663180Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.0663371Z 2023-07-07T20:05:39.0663553Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.0663934Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.0664330Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.0664737Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.0664925Z 2023-07-07T20:05:39.0665137Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.0665535Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.0665929Z [ 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2023-07-07T20:05:39.0670575Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.0830127Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.0927836Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.0928055Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.0928180Z 2023-07-07T20:05:39.0928535Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.0928774Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.0929603Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.0930159Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.0930427Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.0930695Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.0930821Z 2023-07-07T20:05:39.0930912Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.0931215Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.0931463Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.0931733Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.0931859Z 2023-07-07T20:05:39.0932005Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.0932252Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.0932513Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.0932876Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.0933063Z 2023-07-07T20:05:39.0933074Z 2023-07-07T20:05:39.0933294Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.0933672Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.0934063Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.0934455Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.0934641Z 2023-07-07T20:05:39.0934848Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.0935242Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.0935629Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.0936006Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.0936188Z 2023-07-07T20:05:39.0936316Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.0936705Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.0937094Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.0939589Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.1110162Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.1217126Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.1217406Z [-1_0042, 0_9860, 1_1334, 0_8504, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.1225843Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.1386178Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.1482051Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.1482356Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.1482536Z 2023-07-07T20:05:39.1482758Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.1483132Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.1484187Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, 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2023-07-07T20:05:39.1487935Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.1488244Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.1488510Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.1488811Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.1488936Z 2023-07-07T20:05:39.1489081Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.1489424Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.1489677Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.1489940Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.1490064Z 2023-07-07T20:05:39.1490153Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.1490414Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.1490665Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.1491456Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.1492452Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.1492982Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.1493241Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.1493493Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.1493615Z 2023-07-07T20:05:39.1493704Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.1493963Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.1494209Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.1494475Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.1494600Z 2023-07-07T20:05:39.1494749Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.1495009Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.1495258Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.1495526Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.1495652Z 2023-07-07T20:05:39.1495657Z 2023-07-07T20:05:39.1495800Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.1496050Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.1496308Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.1496568Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.1496690Z 2023-07-07T20:05:39.1496836Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.1497081Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.1497343Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.1497602Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.1497727Z 2023-07-07T20:05:39.1497803Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.1498060Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.1498319Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.1500076Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.1654901Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_numel, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.1759340Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.1760017Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.1760220Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.1760343Z 2023-07-07T20:05:39.1760481Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.1760726Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.1913445Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.2015170Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.2015366Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.2015493Z 2023-07-07T20:05:39.2015630Z [[-0_3393, 0_1559, 0_8966, 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2023-07-07T20:05:39.2020794Z 2023-07-07T20:05:39.2020994Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.2021362Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.2022646Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.2023533Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.2023937Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.2024336Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.2024522Z 2023-07-07T20:05:39.2024656Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.2025040Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.2025432Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.2025833Z [-1_3880, -0_2678, -0_1254, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.2454806Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.2542226Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.2542770Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.2543031Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.2543189Z 2023-07-07T20:05:39.2543330Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.2543669Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.2545282Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.2546748Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.2547258Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.2547457Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.2547578Z 2023-07-07T20:05:39.2547714Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.2547953Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.2702072Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.2807426Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.2809498Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.2810694Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.2810884Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.2811007Z 2023-07-07T20:05:39.2811145Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.2811394Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.2981591Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.3090406Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.3090938Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.3091136Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.3091263Z 2023-07-07T20:05:39.3091405Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.3091640Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.3092980Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.3093754Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.3093953Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.3094073Z 2023-07-07T20:05:39.3094206Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.3094541Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.3095320Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.3095905Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.3096173Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.3096427Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.3096553Z 2023-07-07T20:05:39.3096640Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.3096902Z [-2_3332, 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2023-07-07T20:05:39.3100066Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.3100336Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.3100602Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.3100729Z 2023-07-07T20:05:39.3100804Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.3101065Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.3101327Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.3102969Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.3104003Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.3104273Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.3104528Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.3104655Z 2023-07-07T20:05:39.3104775Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.3105039Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.3105304Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.3105560Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.3105723Z 2023-07-07T20:05:39.3105901Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.3106166Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.3106450Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.3106718Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.3106845Z 2023-07-07T20:05:39.3106850Z 2023-07-07T20:05:39.3106994Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.3107254Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.3107503Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.3107771Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.3107894Z 2023-07-07T20:05:39.3108041Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.3108290Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.3108552Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.3108889Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.3109059Z 2023-07-07T20:05:39.3109181Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.3109442Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.3109867Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.3266052Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.3360596Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.3361554Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.3362009Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.3362489Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.3362708Z 2023-07-07T20:05:39.3362872Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.3363340Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.3363826Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.3364294Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.3364599Z 2023-07-07T20:05:39.3364859Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.3365274Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.3365961Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.3366504Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.3366724Z 2023-07-07T20:05:39.3366731Z 2023-07-07T20:05:39.3366985Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.3367395Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.3367979Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.3368470Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.3368738Z 2023-07-07T20:05:39.3368943Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.3369401Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.3369885Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.3370255Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.3370410Z 2023-07-07T20:05:39.3370566Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.3370898Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.3371218Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.3372499Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.3373286Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.3373572Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.3373720Z 2023-07-07T20:05:39.3373884Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.3374190Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.3522282Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.3616318Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.3617975Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.3618549Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.3618872Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.3619122Z 2023-07-07T20:05:39.3619341Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.3619801Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.3762381Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.3856053Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.3856383Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.3856547Z 2023-07-07T20:05:39.3856720Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.3856988Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.3857895Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.3858541Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.3858884Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.3859223Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.3859336Z 2023-07-07T20:05:39.3859539Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.3859852Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.3860177Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.3860450Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.3860646Z 2023-07-07T20:05:39.3860854Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.3861161Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.3861529Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.3861821Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.3861963Z 2023-07-07T20:05:39.3861968Z 2023-07-07T20:05:39.3862130Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.3862432Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.3862701Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.3863029Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.3863170Z 2023-07-07T20:05:39.3863335Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.3863639Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.3863905Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.3864212Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.3864375Z 2023-07-07T20:05:39.3864497Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.3864770Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.3865068Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.3865895Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.3867765Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.3868822Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.3869063Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.3869201Z 2023-07-07T20:05:39.3869353Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.3869605Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.4025595Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.4124026Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.4125039Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.4125490Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.4125656Z 2023-07-07T20:05:39.4125896Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.4126337Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.4128898Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.4130537Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.4131036Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.4131486Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.4131667Z 2023-07-07T20:05:39.4131841Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.4132214Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.4132573Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.4132862Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.4133016Z 2023-07-07T20:05:39.4133193Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.4133517Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.4133842Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.4134151Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.4134305Z 2023-07-07T20:05:39.4134446Z 2023-07-07T20:05:39.4134626Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.4134983Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.4135270Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.4135593Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.4135856Z 2023-07-07T20:05:39.4136041Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.4136362Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.4136683Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.4137004Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.4137167Z 2023-07-07T20:05:39.4137306Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.4137588Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.4137937Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.4138785Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.4139938Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.4140542Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.4140822Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.4141152Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.4141307Z 2023-07-07T20:05:39.4141424Z [[ 0_4622, 1_1759, 0_2145, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.4471025Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.4471298Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.4471568Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.4471693Z 2023-07-07T20:05:39.4471793Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.4472041Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.4472298Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.4472564Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.4472692Z 2023-07-07T20:05:39.4472829Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.4473092Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.4473358Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.4473625Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.4473737Z 2023-07-07T20:05:39.4473753Z 2023-07-07T20:05:39.4473886Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.4474141Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.4474398Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.4474709Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.4474834Z 2023-07-07T20:05:39.4474982Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.4475243Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.4475502Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.4475754Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.4475881Z 2023-07-07T20:05:39.4475967Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.4476229Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.4476475Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.4477827Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.4479169Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.4479738Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.4479999Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.4480261Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.4480384Z 2023-07-07T20:05:39.4480459Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.4480718Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.4480977Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.4481245Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.4481357Z 2023-07-07T20:05:39.4481508Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.4481773Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.4482034Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.4482286Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.4482409Z 2023-07-07T20:05:39.4482414Z 2023-07-07T20:05:39.4482563Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.4482823Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.4483082Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.4483332Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.4483454Z 2023-07-07T20:05:39.4483599Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.4483857Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.4484106Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.4484368Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.4484628Z 2023-07-07T20:05:39.4484717Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.4484970Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.4485230Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.4647824Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.4752355Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.4752556Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.4752684Z 2023-07-07T20:05:39.4752824Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.4753076Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.4754012Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.4754567Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.4754884Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.4755154Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.4755336Z 2023-07-07T20:05:39.4755466Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.4755720Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.4756036Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.4756304Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.4756431Z 2023-07-07T20:05:39.4756580Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.4756828Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.4757089Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.4757359Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.4757483Z 2023-07-07T20:05:39.4757488Z 2023-07-07T20:05:39.4757622Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.4757880Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.4758141Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.4758398Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.4758519Z 2023-07-07T20:05:39.4758664Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.4758924Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.4759184Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.4759436Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.4759560Z 2023-07-07T20:05:39.4759647Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.4759906Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.4760153Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.4760944Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.4761466Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.4761670Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.4761788Z 2023-07-07T20:05:39.4761922Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.4762154Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.4762929Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.4763463Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.4763725Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.4763981Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.4764106Z 2023-07-07T20:05:39.4764194Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.4764579Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.4764836Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.4765103Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.4765227Z 2023-07-07T20:05:39.4765374Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.4765634Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.4765961Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.4766233Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.4766357Z 2023-07-07T20:05:39.4766362Z 2023-07-07T20:05:39.4766507Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.4766755Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.4767092Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.4767358Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.4767518Z 2023-07-07T20:05:39.4767662Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.4767906Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.4768165Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.4768430Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.4768553Z 2023-07-07T20:05:39.4768629Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.4768890Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.4769149Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.4770759Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.4772242Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.4772755Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.4772955Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.4773063Z 2023-07-07T20:05:39.4773196Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.4773444Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.4928700Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.5287971Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.5288524Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.5288712Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.5288831Z 2023-07-07T20:05:39.5288967Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.5289219Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.5291062Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.5292168Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.5292364Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.5292485Z 2023-07-07T20:05:39.5292606Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.5292852Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.5293635Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.5294393Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.5294778Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.5295179Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.5295362Z 2023-07-07T20:05:39.5295490Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.5295876Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.5296252Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.5296651Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.5296835Z 2023-07-07T20:05:39.5297058Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.5297437Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.5297825Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.5298231Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.5298419Z 2023-07-07T20:05:39.5298429Z 2023-07-07T20:05:39.5298643Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.5299016Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.5299405Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.5299796Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.5299978Z 2023-07-07T20:05:39.5300180Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.5300569Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.5300959Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.5301347Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.5301515Z 2023-07-07T20:05:39.5301642Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.5302036Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.5302424Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.5459073Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.5553876Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.5554430Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.5554917Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.5555197Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.5555329Z 2023-07-07T20:05:39.5555405Z [[ 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2023-07-07T20:05:39.5558739Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.5558998Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.5559251Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.5559512Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.5559636Z 2023-07-07T20:05:39.5559722Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.5559967Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.5560226Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.5561854Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.5563326Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.5563836Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.5564034Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.5564152Z 2023-07-07T20:05:39.5564291Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.5564653Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.5565644Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.5566448Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.5566845Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.5567299Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.5567484Z 2023-07-07T20:05:39.5567614Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.5568002Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.5568397Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.5568886Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.5569077Z 2023-07-07T20:05:39.5569337Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.5569727Z [-0_7162, 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[-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.5574716Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.5744850Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.5840756Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.5841026Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.5841296Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.5841613Z 2023-07-07T20:05:39.5841707Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.5842009Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.5842275Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.5842543Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.5842671Z 2023-07-07T20:05:39.5842817Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.5843067Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.5843332Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.5843605Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.5843719Z 2023-07-07T20:05:39.5843736Z 2023-07-07T20:05:39.5843868Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.5844126Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.5844506Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.5844771Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.5844896Z 2023-07-07T20:05:39.5845041Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.5845302Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.5845563Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.5845816Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.5845940Z 2023-07-07T20:05:39.5846027Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.5846288Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.5846538Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.5847766Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.5849854Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.5850858Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.5851061Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.5851169Z 2023-07-07T20:05:39.5851305Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.5851553Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.5852408Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.5852956Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.5853292Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.5853563Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.5853722Z 2023-07-07T20:05:39.5853809Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.5854060Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.5854320Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.5854584Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.5854710Z 2023-07-07T20:05:39.5854857Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.5855110Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.5855372Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.5855638Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.5855763Z 2023-07-07T20:05:39.5855771Z 2023-07-07T20:05:39.5855907Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.5856201Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.5856465Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.5856730Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.5856841Z 2023-07-07T20:05:39.5856984Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.5857238Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.5857502Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.5857759Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.5857881Z 2023-07-07T20:05:39.5857969Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.5858227Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.5858477Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.6007509Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.6103629Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.6103940Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.6104123Z 2023-07-07T20:05:39.6104328Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.6104686Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.6107202Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.6108741Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.6109037Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.6109213Z 2023-07-07T20:05:39.6109414Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.6109902Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.6111799Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.6113083Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.6113490Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.6113888Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.6114077Z 2023-07-07T20:05:39.6114219Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.6114590Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.6115028Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.6115424Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.6115618Z 2023-07-07T20:05:39.6115827Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.6116226Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.6116623Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.6117015Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.6117204Z 2023-07-07T20:05:39.6117211Z 2023-07-07T20:05:39.6117432Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.6117823Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.6118231Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.6118621Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.6118808Z 2023-07-07T20:05:39.6119004Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.6119266Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.6119514Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.6119781Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.6119904Z 2023-07-07T20:05:39.6119991Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.6120254Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.6120503Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.6270573Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.6370236Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.6370520Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.6370776Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.6370905Z 2023-07-07T20:05:39.6370996Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.6371265Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.6371516Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.6371791Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.6371919Z 2023-07-07T20:05:39.6372068Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.6372334Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.6372583Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.6372850Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.6372974Z 2023-07-07T20:05:39.6373140Z 2023-07-07T20:05:39.6373289Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.6373540Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.6373806Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.6374164Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.6374292Z 2023-07-07T20:05:39.6374442Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.6374736Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.6374998Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.6375262Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.6375389Z 2023-07-07T20:05:39.6375463Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.6375723Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.6375986Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.6377245Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.6378037Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.6378288Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.6378553Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.6378676Z 2023-07-07T20:05:39.6378766Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.6379023Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.6379270Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.6379535Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.6379662Z 2023-07-07T20:05:39.6379813Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.6380130Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.6380525Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.6380920Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.6381106Z 2023-07-07T20:05:39.6381113Z 2023-07-07T20:05:39.6381326Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.6381701Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.6382093Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.6382494Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.6382676Z 2023-07-07T20:05:39.6382880Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.6383267Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.6383655Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.6384042Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.6384227Z 2023-07-07T20:05:39.6384355Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.6384745Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.6385136Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.6387030Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.6551171Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_le_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.6657131Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.6657659Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.6657861Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.6657984Z 2023-07-07T20:05:39.6658126Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.6658383Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.6659177Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.6659726Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.6659994Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.6660266Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.6660379Z 2023-07-07T20:05:39.6660468Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.6660727Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.6660988Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.6661249Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.6661377Z 2023-07-07T20:05:39.6661523Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.6661789Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.6662053Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.6662305Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.6662428Z 2023-07-07T20:05:39.6662433Z 2023-07-07T20:05:39.6662576Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.6663012Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.6663268Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.6663534Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.6663658Z 2023-07-07T20:05:39.6663804Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.6664162Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.6664412Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.6664725Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.6664847Z 2023-07-07T20:05:39.6664937Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.6665184Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.6665445Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.6666625Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.6667842Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.6668354Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.6668554Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.6668671Z 2023-07-07T20:05:39.6668793Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.6669041Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.6831600Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pixel_unshuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 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0_2129, 0_1549], 2023-07-07T20:05:39.6936987Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.6937245Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.6937516Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.6937625Z 2023-07-07T20:05:39.6937773Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.6938032Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.6938293Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.6938543Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.6938667Z 2023-07-07T20:05:39.6938755Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.6939011Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.6939273Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.6940523Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.6941306Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.6941567Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.6941832Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.6941958Z 2023-07-07T20:05:39.6942219Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.6942470Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.6942734Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.6943001Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.6943174Z 2023-07-07T20:05:39.6943353Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.6943616Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.6943927Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.6944195Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.6944307Z 2023-07-07T20:05:39.6944311Z 2023-07-07T20:05:39.6944454Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.6944711Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.6944969Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.6945221Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.6945342Z 2023-07-07T20:05:39.6945486Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.6945744Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.6946005Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.6946260Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.6946384Z 2023-07-07T20:05:39.6946472Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.6946728Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.6946973Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.7105492Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_device_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dict_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_empty_constant_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list_set, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_cell, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.7211615Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.7211926Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.7212280Z 2023-07-07T20:05:39.7212471Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.7212851Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.7214174Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.7215060Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.7215338Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.7215518Z 2023-07-07T20:05:39.7215719Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.7216091Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.7217916Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.7219792Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.7220551Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.7220828Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.7221003Z 2023-07-07T20:05:39.7221201Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.7221567Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.7222755Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.7223561Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.7223941Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.7224339Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.7224523Z 2023-07-07T20:05:39.7224654Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.7225029Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.7225423Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.7225820Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.7226007Z 2023-07-07T20:05:39.7226214Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.7226605Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.7227003Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.7227400Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.7227574Z 2023-07-07T20:05:39.7227596Z 2023-07-07T20:05:39.7227801Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.7228186Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.7228575Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.7228956Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.7229139Z 2023-07-07T20:05:39.7229356Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.7229780Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.7230174Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.7230553Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.7230741Z 2023-07-07T20:05:39.7230873Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.7231335Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.7231715Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.7379913Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_flip, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_l2_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_softmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.7478212Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.7478516Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.7478775Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.7478905Z 2023-07-07T20:05:39.7478996Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.7479259Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.7479526Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.7479787Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.7479911Z 2023-07-07T20:05:39.7480059Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.7480322Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.7480575Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.7480853Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.7480979Z 2023-07-07T20:05:39.7480984Z 2023-07-07T20:05:39.7481133Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.7481396Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.7481645Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.7481912Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.7482036Z 2023-07-07T20:05:39.7482184Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.7482553Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.7482823Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.7483091Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.7483215Z 2023-07-07T20:05:39.7483304Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.7483649Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.7483913Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.7485409Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, 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2023-07-07T20:05:39.7495733Z 2023-07-07T20:05:39.7495823Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.7496125Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.7496387Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.7496641Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.7496767Z 2023-07-07T20:05:39.7496914Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.7497176Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.7497443Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.7497699Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.7497824Z 2023-07-07T20:05:39.7497828Z 2023-07-07T20:05:39.7497974Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.7498234Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.7498482Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.7498747Z [-0_1297, -0_6920, 1_1864, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_flatten2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_logical_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_moveaxis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_roi_pool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_where_condition, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_argsort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.7767778Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.7768327Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.7768533Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.7768642Z 2023-07-07T20:05:39.7768780Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.7769030Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.7769980Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.7770574Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.7770873Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.7771141Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.7771329Z 2023-07-07T20:05:39.7771418Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.7771667Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.7771930Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.7772202Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.7772327Z 2023-07-07T20:05:39.7772479Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.7772729Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.7772993Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.7773263Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.7773377Z 2023-07-07T20:05:39.7773396Z 2023-07-07T20:05:39.7773529Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.7773791Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.7774056Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.7774308Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.7774428Z 2023-07-07T20:05:39.7774574Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.7774832Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.7775098Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.7775350Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.7775472Z 2023-07-07T20:05:39.7775559Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.7775816Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.7776068Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.7777261Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.7778043Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.7778308Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.7778571Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.7778693Z 2023-07-07T20:05:39.7778768Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.7779087Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.7779351Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.7779621Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.7779736Z 2023-07-07T20:05:39.7779885Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.7780143Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.7780403Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.7780660Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.7780785Z 2023-07-07T20:05:39.7780789Z 2023-07-07T20:05:39.7780963Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.7781224Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.7781485Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.7781736Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.7781863Z 2023-07-07T20:05:39.7782037Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.7782297Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.7782576Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.7782840Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.7782963Z 2023-07-07T20:05:39.7783049Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.7783309Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.7783554Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.7784323Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.7948142Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_clip_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dist_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_floordiv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_ge, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_if_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_logical_or, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_nan_to_num, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_new_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rand_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_randn_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_roll, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tuple_primitive_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_view_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_any, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arange_end_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.8051251Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.8051541Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.8051810Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.8051938Z 2023-07-07T20:05:39.8052162Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.8052433Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.8052745Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.8053015Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.8053140Z 2023-07-07T20:05:39.8053287Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.8053536Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.8053801Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.8054081Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.8054209Z 2023-07-07T20:05:39.8054214Z 2023-07-07T20:05:39.8054357Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.8054605Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.8054870Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.8055134Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.8055258Z 2023-07-07T20:05:39.8055391Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.8055650Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.8055911Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.8056175Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.8056284Z 2023-07-07T20:05:39.8056372Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.8056632Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.8056891Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.8058118Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.8059766Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.8060572Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.8060775Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.8060883Z 2023-07-07T20:05:39.8061022Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.8061270Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.8225579Z [-0_7690, -1_5606, -0_5309, 0_2178]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_broad_cast_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_cast_to, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_conv_str_padding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_cosine_similarity, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dequantize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dist_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_embedding_module, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_floating_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_full_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_hardswish_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_if_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_copy, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_mask, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_singular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_pass, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logical_not, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_mod_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_narrow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_floating, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_reduced_min_max, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_reduced_prod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_relu6, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_replication_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scalar_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_shape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_to_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_stack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_topk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_trace_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_type_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unfold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_MSELoss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_amax_amin, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.8329305Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.8329869Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.8330127Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.8330397Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.8330641Z 2023-07-07T20:05:39.8330739Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.8330992Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.8331266Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.8331537Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.8331664Z 2023-07-07T20:05:39.8331800Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.8332067Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.8332330Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.8332650Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.8332766Z 2023-07-07T20:05:39.8332784Z 2023-07-07T20:05:39.8332917Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.8333181Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.8333448Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.8333745Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.8333872Z 2023-07-07T20:05:39.8334060Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.8334323Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.8334592Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.8334845Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.8334969Z 2023-07-07T20:05:39.8335058Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.8335321Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.8335570Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.8336779Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.8338026Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.8338549Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.8338814Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.8339081Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.8339208Z 2023-07-07T20:05:39.8339286Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.8339545Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.8339808Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.8340074Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.8340186Z 2023-07-07T20:05:39.8340334Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.8340596Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.8340858Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.8341113Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.8341239Z 2023-07-07T20:05:39.8341244Z 2023-07-07T20:05:39.8341389Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.8341645Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.8341905Z [-0_3458, 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test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_baddbmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_bitshift, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_clamp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_conv_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cste_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_det, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dict, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dict_str, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dim_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_full_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gather, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_ge_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_getitem, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_glu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_groupnorm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_hardswish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_if_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_l1_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_len_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linalg_matrix_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linspace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_del, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_pop_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logdet, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logical_and, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logit, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_numel_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_one_hot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_ones_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_relu_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_roi_align_aligned, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_round, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_scalar_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_sort, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_split_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_split_size_as_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_std, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_std_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_std_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tril, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_unique, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_var_correction, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_var_mean_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_view, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test__dim_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_add_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_addcmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_all, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_none, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_aminmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_no_type, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.8667770Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.8668824Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.8669307Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.8669772Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.8669982Z 2023-07-07T20:05:39.8670116Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.8670602Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.8671080Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.8671536Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.8671756Z 2023-07-07T20:05:39.8672064Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.8672507Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.8672945Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.8673422Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.8673644Z 2023-07-07T20:05:39.8673652Z 2023-07-07T20:05:39.8673922Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.8674342Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.8674922Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.8675387Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.8675882Z 2023-07-07T20:05:39.8676150Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.8676607Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.8677079Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.8677545Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.8677764Z 2023-07-07T20:05:39.8677901Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.8678375Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.8678836Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.8681976Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.8685804Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.8688650Z [ 0_5036, 0_2310, 0_6931]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.8689777Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.8690317Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.8690852Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.8691096Z 2023-07-07T20:05:39.8691272Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.8691813Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.8692435Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.8692896Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.8693115Z 2023-07-07T20:05:39.8693381Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.8693860Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.8694300Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.8694780Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.8694989Z 2023-07-07T20:05:39.8694995Z 2023-07-07T20:05:39.8695257Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.8695715Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.8696179Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.8696653Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.8696871Z 2023-07-07T20:05:39.8697133Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.8697584Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.8698204Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.8698661Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.8698878Z 2023-07-07T20:05:39.8699029Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.8699457Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.8699919Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.8954215Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]), test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_auto_grad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batched_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_bernoulli, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_bucketize, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_cast_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_cdist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_celu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_celu_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_celu_default, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_clamp_dyn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_concat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_concat_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_constant_pad, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_conv_bn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_conv_tbc, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_copy_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_copy_tracing, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_cumsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_cumsum_with_cast, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_data, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_derive_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_diagonal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dot, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dropout_training, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dynamic_expand_as, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_einsum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_embedding, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_empty_branch, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_eq, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_eye, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_flatten, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_floor_div, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fmod, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_full_like_value, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_full_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn3d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_gelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_hardshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_hardtanh, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_if_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_im2col, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_2d_1dimslice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_dim_size_differ, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_in_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_if, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_inplace_ops, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_select_scaler_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero_qkv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_isfinite, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_isinf, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_isnan, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_item, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_le, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lerp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linear, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linspace_negative_start, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_pop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_pop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_unpack, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log10, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log1p, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_loop_nested, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_loop_transpose, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_masked_fill, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_masked_fill_inplace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_masked_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_matmul, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_max_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_max_tensors, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maximum_minimum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_3d_ceil, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_meshgrid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_min_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_mish, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_movedim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_mul_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_multi_scale_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_multinomial, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_new_empty, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_new_full, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_new_ones, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nms, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_numel, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_numpy_T, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_outer, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_circular, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_negative, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_int, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pow, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_prelu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_prim_min, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_qat_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_shape, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rand, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rand_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rand_like, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_randn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reciprocal, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_remainder, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_repeat, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_resize_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_roi_align, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rpn, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rsqrt, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sage_conv, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_select, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_bool, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_attr, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_silu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_trace, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_softplus, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_softshrink, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_softshrink_dtype, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sort_ascending, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_square, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_std_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_one_dimension, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_take, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_to_device, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tolist, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_topk_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_torch_mm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_transform_images, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_triu, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_with_none_outputs, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unbind, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unbind_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_mean, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_mean_mixed_dims, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_weight_norm, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_weight_norm_nodim, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where_with_bool_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where_with_byte_tensor, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_LSTM, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH, test/onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input 2023-07-07T20:05:39.9118804Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:05:39.9119111Z 2023-07-07T20:05:39.9119625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0558s] [ 0%] 2023-07-07T20:05:39.9120640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_MSELoss SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9121629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0143s] [ 0%] 2023-07-07T20:05:39.9122613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_all SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9123716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 0%] 2023-07-07T20:05:39.9141202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9142749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9144241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.9144989Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.9145268Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.9145447Z 2023-07-07T20:05:39.9145646Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.9146018Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.9146578Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9147705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.9148471Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.9148927Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.9149311Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.9149495Z 2023-07-07T20:05:39.9149627Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.9150015Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.9150396Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.9150795Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.9150982Z 2023-07-07T20:05:39.9151203Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.9151594Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.9152033Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.9152621Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.9152793Z 2023-07-07T20:05:39.9152803Z 2023-07-07T20:05:39.9153056Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.9153543Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.9154010Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.9154429Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.9154796Z 2023-07-07T20:05:39.9155052Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.9155511Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.9155975Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.9156388Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.9156641Z 2023-07-07T20:05:39.9156830Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.9157291Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.9157707Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.9158334Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9159604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9161118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.9161943Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9163198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.9164218Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.9164951Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.9165498Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.9165705Z 2023-07-07T20:05:39.9166004Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.9166556Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.9167113Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.9167661Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.9167930Z 2023-07-07T20:05:39.9168208Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.9168753Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.9169383Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.9169944Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.9170241Z 2023-07-07T20:05:39.9170248Z 2023-07-07T20:05:39.9170551Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.9171094Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.9171603Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.9172166Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.9172426Z 2023-07-07T20:05:39.9172771Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.9173273Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.9173825Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.9174408Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.9174661Z 2023-07-07T20:05:39.9174848Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.9175455Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.9176015Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.9176750Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9178235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9180042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.9181116Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.9181599Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.9181848Z 2023-07-07T20:05:39.9182132Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.9182602Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.9183394Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9184827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.9185854Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.9186469Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.9187034Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.9187341Z 2023-07-07T20:05:39.9187534Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.9188078Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.9188615Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.9189171Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.9189428Z 2023-07-07T20:05:39.9189771Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.9190380Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.9190931Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.9191505Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.9191712Z 2023-07-07T20:05:39.9191772Z 2023-07-07T20:05:39.9192032Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.9192628Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.9193167Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.9193708Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.9193960Z 2023-07-07T20:05:39.9194251Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.9194875Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.9195450Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.9195935Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.9196188Z 2023-07-07T20:05:39.9196393Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.9196932Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.9197419Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.9198275Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 0%] 2023-07-07T20:05:39.9282354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 0%] 2023-07-07T20:05:39.9283544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 0%] 2023-07-07T20:05:39.9284755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0008s] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.1299s] [ 0%] 2023-07-07T20:05:39.9290501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias PASSED [0.1722s] [ 0%] 2023-07-07T20:05:39.9291575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0088s] [ 0%] 2023-07-07T20:05:39.9292637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_gt_scalar PASSED [0.0190s] [ 0%] 2023-07-07T20:05:39.9293694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9294888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardshrink SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9295840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid PASSED [0.0199s] [ 0%] 2023-07-07T20:05:39.9296834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0204s] [ 0%] 2023-07-07T20:05:39.9297991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0083s] [ 0%] 2023-07-07T20:05:39.9298999Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values PASSED [0.0097s] [ 0%] 2023-07-07T20:05:39.9300052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.3231s] [ 0%] 2023-07-07T20:05:39.9301004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_fold SKIPPED [0.0012s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9302247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_list SKIPPED [0.0010s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9303348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_transpose SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9304476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_if_view SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9305555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_im2col SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9306607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice PASSED [0.0115s] [ 0%] 2023-07-07T20:05:39.9307694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0112s] [ 0%] 2023-07-07T20:05:39.9308845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9309901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9311049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9312280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_copy SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9313446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_mask SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9314740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9315959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9317164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_5 SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9318298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9319434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9320610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_slice_index SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9321768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9322923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic PASSED [0.0107s] [ 0%] 2023-07-07T20:05:39.9323978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0192s] [ 0%] 2023-07-07T20:05:39.9325186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_list SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9326273Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 14) [ 0%] 2023-07-07T20:05:39.9327472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9328584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9329554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9330622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats PASSED [0.0848s] [ 0%] 2023-07-07T20:05:39.9331592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.2177s] [ 0%] 2023-07-07T20:05:39.9332772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer PASSED [0.2205s] [ 0%] 2023-07-07T20:05:39.9333993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9335095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 0%] 2023-07-07T20:05:39.9336342Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9337587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9338819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 0%] 2023-07-07T20:05:39.9339925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_isinf SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 0%] 2023-07-07T20:05:39.9340952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9342066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0199s] [ 0%] 2023-07-07T20:05:39.9343192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_le_scalar SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9344410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_len_list SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9345435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_linear PASSED [0.0309s] [ 0%] 2023-07-07T20:05:39.9346422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_linspace SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9347580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_linspace_negative_start SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9348669Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9349764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9350863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9351944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9353293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype SKIPPED [0.0010s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9354447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_del SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9355662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0010s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9356825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_pass SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9357916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_pop_in_block SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9359089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_pop_nested SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 0%] 2023-07-07T20:05:39.9360274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_set SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9361410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_unpack SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9362758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9363989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9365250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_log1p PASSED [0.0178s] [ 0%] 2023-07-07T20:05:39.9366317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_logical_or SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9367451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_logit SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9368561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0398s] [ 0%] 2023-07-07T20:05:39.9369616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9370774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_loop_nested SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 0%] 2023-07-07T20:05:39.9371989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 0%] 2023-07-07T20:05:39.9373108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple PASSED [0.0844s] [ 1%] 2023-07-07T20:05:39.9374113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0308s] [ 1%] 2023-07-07T20:05:39.9375193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9376307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9377543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_bias SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9378767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9379827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9381149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9382230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar PASSED [0.0198s] [ 1%] 2023-07-07T20:05:39.9383333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_masked_fill SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9384472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_masked_fill_inplace SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9385624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 1%] 2023-07-07T20:05:39.9386637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_matmul PASSED [0.0235s] [ 1%] 2023-07-07T20:05:39.9387581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_max_int PASSED [0.0573s] [ 1%] 2023-07-07T20:05:39.9388709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_max_tensors SKIPPED [0.0009s] (Unsupported opset_version: 7 < 8) [ 1%] 2023-07-07T20:05:39.9389864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9390903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_maxpool_3d_ceil PASSED [0.4468s] [ 1%] 2023-07-07T20:05:39.9391951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive SKIPPED [0.0010s] (Unsupported opset_version: 7 < 8) [ 1%] 2023-07-07T20:05:39.9393122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar SKIPPED [0.0008s] (Unsupported opset_version: 7 < 8) [ 1%] 2023-07-07T20:05:39.9394246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9395621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0007s] (Unsupported opset_version: 7 < 15) [ 1%] 2023-07-07T20:05:39.9396768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9397949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_moveaxis SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9399101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_movedim SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9400102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mul_bool PASSED [0.0251s] [ 1%] 2023-07-07T20:05:39.9401161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_multi_scale_roi_align SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 1%] 2023-07-07T20:05:39.9402383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 1%] 2023-07-07T20:05:39.9403630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_mv SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9404881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_narrow PASSED [0.0094s] [ 1%] 2023-07-07T20:05:39.9405914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_new_ones SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9407110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0007s] (Unsupported opset_version: 7 < 12) [ 1%] 2023-07-07T20:05:39.9408203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 1%] 2023-07-07T20:05:39.9409428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nms SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 1%] 2023-07-07T20:05:39.9410586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9411770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_nonzero SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9412972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_normalize SKIPPED [0.0007s] (Skip verify test for unsupported opset_version) [ 1%] 2023-07-07T20:05:39.9414110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_numel PASSED [0.0110s] [ 1%] 2023-07-07T20:05:39.9415126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_numel_empty PASSED [0.0107s] [ 1%] 2023-07-07T20:05:39.9416155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0088s] [ 1%] 2023-07-07T20:05:39.9417303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0009s] (Unsupported opset_version: 7 < 16) [ 1%] 2023-07-07T20:05:39.9418609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 1%] 2023-07-07T20:05:39.9419757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_outer SKIPPED [0.0007s] (Unsupported opset_version: 7 < 12) [ 1%] 2023-07-07T20:05:39.9420911Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pad_circular SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 1%] 2023-07-07T20:05:39.9422135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_negative SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 1%] 2023-07-07T20:05:39.9423350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 1%] 2023-07-07T20:05:39.9424632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9425758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.2161s] [ 1%] 2023-07-07T20:05:39.9426890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9428167Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pixel_unshuffle SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9429257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_pow PASSED [0.0929s] [ 1%] 2023-07-07T20:05:39.9430257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0098s] [ 1%] 2023-07-07T20:05:39.9431148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0092s] [ 1%] 2023-07-07T20:05:39.9432210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_avg_pool2d SKIPPED [0.0009s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9433298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 1%] 2023-07-07T20:05:39.9434426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 1%] 2023-07-07T20:05:39.9435591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 1%] 2023-07-07T20:05:39.9436761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9437987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_qat_relu SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 1%] 2023-07-07T20:05:39.9439162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9440391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9441578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale SKIPPED [0.0009s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9442684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_shape SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9444007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9445422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9446436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9447406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9448400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9449436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9450410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 1%] 2023-07-07T20:05:39.9451519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 1%] 2023-07-07T20:05:39.9452832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9453955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9455202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9456548Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9457813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9458980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9460385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9461563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9462849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9463987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9465341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9466600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9467748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand PASSED [0.0175s] [ 1%] 2023-07-07T20:05:39.9468806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0563s] [ 1%] 2023-07-07T20:05:39.9469922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9471079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_like PASSED [0.0219s] [ 1%] 2023-07-07T20:05:39.9472126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rand_like_dtype PASSED [0.0498s] [ 1%] 2023-07-07T20:05:39.9473113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_randn_dtype PASSED [0.0514s] [ 1%] 2023-07-07T20:05:39.9474152Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0508s] [ 1%] 2023-07-07T20:05:39.9475297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0144s] [ 1%] 2023-07-07T20:05:39.9476287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0181s] [ 1%] 2023-07-07T20:05:39.9477279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0190s] [ 1%] 2023-07-07T20:05:39.9478327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0152s] [ 1%] 2023-07-07T20:05:39.9479324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_remainder PASSED [0.0515s] [ 1%] 2023-07-07T20:05:39.9480343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0254s] [ 1%] 2023-07-07T20:05:39.9481317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_repeat PASSED [0.0160s] [ 1%] 2023-07-07T20:05:39.9482382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 1%] 2023-07-07T20:05:39.9483463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0150s] [ 1%] 2023-07-07T20:05:39.9484809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_reshape_constant_fold PASSED [0.0096s] [ 1%] 2023-07-07T20:05:39.9485868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_resize_images SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 1%] 2023-07-07T20:05:39.9487133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 1%] 2023-07-07T20:05:39.9493522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9495095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9496706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9498289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9499880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9501504Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9502986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 1%] 2023-07-07T20:05:39.9504650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 2%] 2023-07-07T20:05:39.9603060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9603888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9604832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9605635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9606448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9607306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9608136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9608942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9609804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9610434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9611261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_roi_align SKIPPED [0.0008s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 2%] 2023-07-07T20:05:39.9611916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_round SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9612495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rpn SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9613017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0112s] [ 2%] 2023-07-07T20:05:39.9613599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0098s] [ 2%] 2023-07-07T20:05:39.9614196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) [ 2%] 2023-07-07T20:05:39.9614787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scalar_type SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9615421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9616062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9616754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0007s] (Unsupported opset_version: 7 < 16) [ 2%] 2023-07-07T20:05:39.9617442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0007s] (Unsupported opset_version: 7 < 16) [ 2%] 2023-07-07T20:05:39.9618120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 2%] 2023-07-07T20:05:39.9618741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0009s] (Unsupported opset_version: 7 < 16) [ 2%] 2023-07-07T20:05:39.9619364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 2%] 2023-07-07T20:05:39.9619906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9620441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0113s] [ 2%] 2023-07-07T20:05:39.9621023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0009s] (Unsupported opset_version: 7 < 13) [ 2%] 2023-07-07T20:05:39.9621568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0192s] [ 2%] 2023-07-07T20:05:39.9622138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2 SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9622716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9623368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9623968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 2%] 2023-07-07T20:05:39.9624615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9625147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_shape_constant_fold PASSED [0.0104s] [ 2%] 2023-07-07T20:05:39.9625727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 2%] 2023-07-07T20:05:39.9626439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 2%] 2023-07-07T20:05:39.9626941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0134s] [ 2%] 2023-07-07T20:05:39.9627576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9628083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9628611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_softshrink SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9629106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9629585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9630081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9630555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9631151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar SKIPPED [0.0008s] (Skip verify test for TorchScript. dynamic split support added in 11) [ 2%] 2023-07-07T20:05:39.9631564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0099s] [ 2%] 2023-07-07T20:05:39.9631968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0080s] [ 2%] 2023-07-07T20:05:39.9632434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9632996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 2%] 2023-07-07T20:05:39.9633448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9633932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0081s] [ 2%] 2023-07-07T20:05:39.9634335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stack PASSED [0.0113s] [ 2%] 2023-07-07T20:05:39.9634993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9635391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_std PASSED [0.0297s] [ 2%] 2023-07-07T20:05:39.9635796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0345s] [ 2%] 2023-07-07T20:05:39.9636225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0150s] [ 2%] 2023-07-07T20:05:39.9636704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0014s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9637188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0013s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9637765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0011s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9638262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0012s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9638723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0012s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9639252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size SKIPPED [0.0012s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9639726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0013s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9640206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0013s] (Unsupported opset_version: 7 < 17) [ 2%] 2023-07-07T20:05:39.9758802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_sum PASSED [0.0099s] [ 2%] 2023-07-07T20:05:39.9759279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0625s] [ 2%] 2023-07-07T20:05:39.9759826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9760147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9760507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9760815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9761117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 2%] 2023-07-07T20:05:39.9761412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0481s] [ 2%] 2023-07-07T20:05:39.9761699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9761997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories_script SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9762260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing PASSED [0.0673s] [ 2%] 2023-07-07T20:05:39.9762541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0009s] (Unsupported opset_version: 7 < 13) [ 2%] 2023-07-07T20:05:39.9762877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 2%] 2023-07-07T20:05:39.9763168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9763455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9763745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9764030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_topk_script SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 2%] 2023-07-07T20:05:39.9764321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9764745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0110s] [ 2%] 2023-07-07T20:05:39.9765030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_trace_script SKIPPED [0.0010s] (Unsupported opset_version: 7 < 10) [ 2%] 2023-07-07T20:05:39.9765344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tril SKIPPED [0.0008s] (Unsupported opset_version: 7 < 14) [ 2%] 2023-07-07T20:05:39.9765585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0089s] [ 2%] 2023-07-07T20:05:39.9765877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9766155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_tuple_output PASSED [0.0101s] [ 2%] 2023-07-07T20:05:39.9766432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_type_as SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9766675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unbind PASSED [0.0298s] [ 2%] 2023-07-07T20:05:39.9766998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9767235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unfold PASSED [0.0107s] [ 2%] 2023-07-07T20:05:39.9767489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0333s] [ 2%] 2023-07-07T20:05:39.9767781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9768111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0008s] (Unsupported opset_version: 7 < 14) [ 2%] 2023-07-07T20:05:39.9768415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList SKIPPED [0.0007s] (Unsupported opset_version: 7 < 14) [ 2%] 2023-07-07T20:05:39.9768721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic SKIPPED [0.0010s] (Unsupported opset_version: 7 < 14) [ 2%] 2023-07-07T20:05:39.9768993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unique SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9769280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9769560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 2%] 2023-07-07T20:05:39.9769802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0099s] [ 2%] 2023-07-07T20:05:39.9770091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 2%] 2023-07-07T20:05:39.9770325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var PASSED [0.1770s] [ 2%] 2023-07-07T20:05:39.9770601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims PASSED [0.0267s] [ 2%] 2023-07-07T20:05:39.9770848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0152s] [ 2%] 2023-07-07T20:05:39.9771089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0264s] [ 2%] 2023-07-07T20:05:39.9771365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0352s] [ 2%] 2023-07-07T20:05:39.9771603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_view_as PASSED [0.0097s] [ 2%] 2023-07-07T20:05:39.9771861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim PASSED [0.0124s] [ 2%] 2023-07-07T20:05:39.9772175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_where_condition SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9772462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9772752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9773003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.1198s] [ 2%] 2023-07-07T20:05:39.9773312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_MSELoss SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9773599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test__dim_arange SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9773835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0089s] [ 2%] 2023-07-07T20:05:39.9774134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none SKIPPED [0.0008s] (Unsupported opset_version: 7 < 15) [ 2%] 2023-07-07T20:05:39.9774433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor SKIPPED [0.0007s] (Unsupported opset_version: 7 < 15) [ 2%] 2023-07-07T20:05:39.9774681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0087s] [ 2%] 2023-07-07T20:05:39.9774959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9775243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9775521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_out SKIPPED [0.0010s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9775839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9776142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype SKIPPED [0.0010s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9776460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9776748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9777044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9777377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index SKIPPED [0.0007s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9777628Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0038s] [ 2%] 2023-07-07T20:05:39.9777890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0179s] [ 2%] 2023-07-07T20:05:39.9778168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_as_strided SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9778845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9779382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9779993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9780591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9781196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9781747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.9781886Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.9781996Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.9782006Z 2023-07-07T20:05:39.9782138Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.9782271Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.9782513Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9783110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9783739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9784268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.9784440Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9784996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.9785145Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.9785289Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.9785437Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.9785445Z 2023-07-07T20:05:39.9785531Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.9785673Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.9785845Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.9785985Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.9786002Z 2023-07-07T20:05:39.9786137Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.9786277Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.9786418Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.9786569Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.9786575Z 2023-07-07T20:05:39.9786580Z 2023-07-07T20:05:39.9786720Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.9786862Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.9787007Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.9787154Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.9787159Z 2023-07-07T20:05:39.9787293Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.9787435Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.9787576Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.9787720Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.9787726Z 2023-07-07T20:05:39.9787809Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.9787950Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.9788101Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.9788354Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9788592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0086s] [ 2%] 2023-07-07T20:05:39.9788928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0111s] [ 2%] 2023-07-07T20:05:39.9789225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0113s] [ 2%] 2023-07-07T20:05:39.9789547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0241s] [ 2%] 2023-07-07T20:05:39.9789842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0131s] [ 2%] 2023-07-07T20:05:39.9790097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.5689s] [ 2%] 2023-07-07T20:05:39.9790386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0101s] [ 2%] 2023-07-07T20:05:39.9790635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0073s] [ 2%] 2023-07-07T20:05:39.9790919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batched_nms SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9791166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0133s] [ 2%] 2023-07-07T20:05:39.9791426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0137s] [ 2%] 2023-07-07T20:05:39.9791720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0206s] [ 2%] 2023-07-07T20:05:39.9791963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d PASSED [0.1215s] [ 2%] 2023-07-07T20:05:39.9792216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1179s] [ 2%] 2023-07-07T20:05:39.9792472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer PASSED [0.1490s] [ 2%] 2023-07-07T20:05:39.9792719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p PASSED [0.0321s] [ 2%] 2023-07-07T20:05:39.9793026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits SKIPPED [0.0009s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9793268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0143s] [ 2%] 2023-07-07T20:05:39.9793558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9793838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_bucketize SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9794101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cast_to PASSED [0.0032s] [ 2%] 2023-07-07T20:05:39.9794378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cdist SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9794742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu SKIPPED [0.0007s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9795060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9795339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu_cast SKIPPED [0.0007s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9795624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_celu_default SKIPPED [0.0007s] (Unsupported opset_version: 7 < 12) [ 2%] 2023-07-07T20:05:39.9795927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_chunk SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9796168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_clamp PASSED [0.0146s] [ 2%] 2023-07-07T20:05:39.9796442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9796686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_conv_bn PASSED [0.0414s] [ 2%] 2023-07-07T20:05:39.9796991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0445s] [ 2%] 2023-07-07T20:05:39.9797246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.5859s] [ 2%] 2023-07-07T20:05:39.9797524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_copy_ SKIPPED [0.0010s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9797807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 2%] 2023-07-07T20:05:39.9798099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cosine_similarity SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9798374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cross SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 2%] 2023-07-07T20:05:39.9798651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cste_script SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9798925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cumsum SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9799210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9799526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_data SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9799778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_derive_index PASSED [0.0583s] [ 3%] 2023-07-07T20:05:39.9800079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_det SKIPPED [0.0010s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9800349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_device_eq SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9800625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_diagonal SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9800869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dict PASSED [0.0048s] [ 3%] 2023-07-07T20:05:39.9801146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dict_output PASSED [0.0050s] [ 3%] 2023-07-07T20:05:39.9801418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dim_1 SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9801697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dist_normal SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9802043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9802529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9802891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_div PASSED [0.0107s] [ 3%] 2023-07-07T20:05:39.9803287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0140s] [ 3%] 2023-07-07T20:05:39.9803730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dropout_training SKIPPED [0.0009s] (Unsupported opset_version: 7 < 12) [ 3%] 2023-07-07T20:05:39.9804098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dtype PASSED [0.0029s] [ 3%] 2023-07-07T20:05:39.9804676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9805092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_einsum SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 3%] 2023-07-07T20:05:39.9805507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9805938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag SKIPPED [0.0011s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9806474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights SKIPPED [0.0014s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9807094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 3%] 2023-07-07T20:05:39.9807553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_eq SKIPPED [0.0011s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9807968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_eye SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9808427Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_activation SKIPPED [0.0011s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9808927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel SKIPPED [0.0011s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9809420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [0.0011s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9809837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fill SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9810208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_flatten PASSED [0.0211s] [ 3%] 2023-07-07T20:05:39.9810629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg PASSED [0.0118s] [ 3%] 2023-07-07T20:05:39.9811046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_flip SKIPPED [0.0009s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9811527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 3%] 2023-07-07T20:05:39.9811944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_full_like SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9812380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_full_like_value SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9812799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_full_trace SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9813173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm PASSED [0.0053s] [ 3%] 2023-07-07T20:05:39.9813549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0221s] [ 3%] 2023-07-07T20:05:39.9813920Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d PASSED [0.0184s] [ 3%] 2023-07-07T20:05:39.9814374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gather SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9814769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold PASSED [0.0249s] [ 3%] 2023-07-07T20:05:39.9815217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_ge SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9815637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gelu SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9816062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_getitem SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9816482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_glu SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9817035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0007s] (Unsupported opset_version: 7 < 16) [ 3%] 2023-07-07T20:05:39.9817532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 7 < 16) [ 3%] 2023-07-07T20:05:39.9818034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0010s] (Unsupported opset_version: 7 < 16) [ 3%] 2023-07-07T20:05:39.9818554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 7 < 16) [ 3%] 2023-07-07T20:05:39.9819046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 7 < 16) [ 3%] 2023-07-07T20:05:39.9819547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 7 < 16) [ 3%] 2023-07-07T20:05:39.9820027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 7 < 16) [ 3%] 2023-07-07T20:05:39.9820413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.0736s] [ 3%] 2023-07-07T20:05:39.9820800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding PASSED [0.0830s] [ 3%] 2023-07-07T20:05:39.9821161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gt PASSED [0.0157s] [ 3%] 2023-07-07T20:05:39.9821535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0054s] [ 3%] 2023-07-07T20:05:39.9821986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9822474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9822904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardshrink SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9823380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9823761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardsigmoid PASSED [0.0127s] [ 3%] 2023-07-07T20:05:39.9824138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0116s] [ 3%] 2023-07-07T20:05:39.9824588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values PASSED [0.0034s] [ 3%] 2023-07-07T20:05:39.9825018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_if_transpose SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9825439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_im2col SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9825798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_1d PASSED [0.0056s] [ 3%] 2023-07-07T20:05:39.9826190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice PASSED [0.0060s] [ 3%] 2023-07-07T20:05:39.9826605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice PASSED [0.0061s] [ 3%] 2023-07-07T20:05:39.9826992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0065s] [ 3%] 2023-07-07T20:05:39.9827446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9827885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9828328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9828759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_copy SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9829194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9829567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9830035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9830326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9830613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2 SKIPPED [0.0011s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9830929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_3 SKIPPED [0.0010s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9831217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4 SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9831490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5 SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9831813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9832129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9832389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index PASSED [0.0079s] [ 3%] 2023-07-07T20:05:39.9832651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0095s] [ 3%] 2023-07-07T20:05:39.9832986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop SKIPPED [0.0011s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9833280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9833582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop SKIPPED [0.0007s] (Unsupported opset_version: 7 < 14) [ 3%] 2023-07-07T20:05:39.9833873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop_2 SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9834161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9834450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model SKIPPED [0.0010s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9834813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats PASSED [0.0163s] [ 3%] 2023-07-07T20:05:39.9835119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9835422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats PASSED [0.0271s] [ 3%] 2023-07-07T20:05:39.9835726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats SKIPPED [0.0013s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9836023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.3003s] [ 3%] 2023-07-07T20:05:39.9836274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.1497s] [ 3%] 2023-07-07T20:05:39.9836573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample SKIPPED [0.0014s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9836886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9837206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape SKIPPED [0.0011s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9837486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_isfinite SKIPPED [0.0011s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9837760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_isnan SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9838000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0112s] [ 3%] 2023-07-07T20:05:39.9838303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_le_scalar SKIPPED [0.0012s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9838573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_len SKIPPED [0.0011s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9838826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm PASSED [0.1912s] [ 3%] 2023-07-07T20:05:39.9839120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero SKIPPED [0.0010s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9839418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9839722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9839997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_del SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9840278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9840574Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9840857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_pop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9841144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_pop_in_block SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9841462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9841743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_list_unpack SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9841983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_log2 PASSED [0.0073s] [ 3%] 2023-07-07T20:05:39.9842286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logdet SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9842567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logical_and SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9842841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logical_not SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9843088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0184s] [ 3%] 2023-07-07T20:05:39.9843375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim PASSED [0.0345s] [ 3%] 2023-07-07T20:05:39.9843659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9843940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9844216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9844629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9844926Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9845210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9845496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9845742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_matmul PASSED [0.0123s] [ 3%] 2023-07-07T20:05:39.9846087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_max_tensors SKIPPED [0.0012s] (Unsupported opset_version: 7 < 8) [ 3%] 2023-07-07T20:05:39.9846374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes SKIPPED [0.0011s] (Unsupported opset_version: 7 < 12) [ 3%] 2023-07-07T20:05:39.9846655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d PASSED [0.0113s] [ 3%] 2023-07-07T20:05:39.9846909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0151s] [ 3%] 2023-07-07T20:05:39.9847199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive SKIPPED [0.0011s] (Unsupported opset_version: 7 < 8) [ 3%] 2023-07-07T20:05:39.9847534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9847827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices SKIPPED [0.0008s] (Unsupported opset_version: 7 < 8) [ 3%] 2023-07-07T20:05:39.9848113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_meshgrid SKIPPED [0.0007s] (Unsupported opset_version: 7 < 8) [ 3%] 2023-07-07T20:05:39.9848350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_mish PASSED [0.0055s] [ 3%] 2023-07-07T20:05:39.9848654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0008s] (Unsupported opset_version: 7 < 15) [ 3%] 2023-07-07T20:05:39.9848988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9849240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.1134s] [ 3%] 2023-07-07T20:05:39.9849550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0009s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9849805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0071s] [ 3%] 2023-07-07T20:05:39.9850066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0068s] [ 3%] 2023-07-07T20:05:39.9850347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_new_ones SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9850646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 3%] 2023-07-07T20:05:39.9850944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights SKIPPED [0.0007s] (Unsupported opset_version: 7 < 12) [ 3%] 2023-07-07T20:05:39.9851275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_normalize SKIPPED [0.0010s] (Skip verify test for unsupported opset_version) [ 3%] 2023-07-07T20:05:39.9851522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_numel PASSED [0.0062s] [ 3%] 2023-07-07T20:05:39.9851772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_numel_empty PASSED [0.0059s] [ 3%] 2023-07-07T20:05:39.9852041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0038s] [ 3%] 2023-07-07T20:05:39.9852348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 3%] 2023-07-07T20:05:39.9852653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 3%] 2023-07-07T20:05:39.9852988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 3%] 2023-07-07T20:05:39.9853218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pad_int PASSED [0.0060s] [ 3%] 2023-07-07T20:05:39.9853512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 3%] 2023-07-07T20:05:39.9853763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.1630s] [ 3%] 2023-07-07T20:05:39.9854079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pixel_shuffle SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9854367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9854606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_pow PASSED [0.0372s] [ 3%] 2023-07-07T20:05:39.9854847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_prelu PASSED [0.0056s] [ 3%] 2023-07-07T20:05:39.9855096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar PASSED [0.0044s] [ 3%] 2023-07-07T20:05:39.9855360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer PASSED [0.0042s] [ 3%] 2023-07-07T20:05:39.9855675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 3%] 2023-07-07T20:05:39.9855959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9856241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9856566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 3%] 2023-07-07T20:05:39.9856862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9857183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9857487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9857808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0009s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9858165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9858452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9858748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d_relu SKIPPED [0.0010s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9859050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9859375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9859660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9860042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0001s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 3%] 2023-07-07T20:05:39.9860347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9860652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand SKIPPED [0.0009s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9860959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9861261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9861560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9861890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 3%] 2023-07-07T20:05:39.9862187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9862516Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh SKIPPED [0.0007s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9862796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9863039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rand PASSED [0.0092s] [ 4%] 2023-07-07T20:05:39.9863320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0103s] [ 4%] 2023-07-07T20:05:39.9863609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9863858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_randn_dtype PASSED [0.0105s] [ 4%] 2023-07-07T20:05:39.9864151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_randn_dynamic_size SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9864432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0096s] [ 4%] 2023-07-07T20:05:39.9864688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reduced_min_max PASSED [0.0170s] [ 4%] 2023-07-07T20:05:39.9864935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod PASSED [0.0260s] [ 4%] 2023-07-07T20:05:39.9865189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0095s] [ 4%] 2023-07-07T20:05:39.9865479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9865782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave_noop SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9866307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 4%] 2023-07-07T20:05:39.9866569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold PASSED [0.0088s] [ 4%] 2023-07-07T20:05:39.9866961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9867390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9867822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9868225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9868621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9869043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9869437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9869861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9870248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9870645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9871046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9871454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9871849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9872282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9872685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9873102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9873499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9873925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9874302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9874811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9875297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9875696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9876088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9876481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9876883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9877285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9877724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9878164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9878554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9878954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9879378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9879774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9880200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9880600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9880980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9881369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9881774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9882179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9882598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9883003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9883431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9883838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9884261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9884854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9885306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9885695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9886080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9886473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9886864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9887295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9887887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9888542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9889176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9889782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9890426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9891014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9891609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0018s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9892220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9892810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9893408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9894004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9894586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9895181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9895831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9896440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9897058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9897661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9898255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9898840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9899471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9900071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9900497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9900896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9901301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9901701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9902099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9902524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9902947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9903345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9903756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9904144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9904534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9904956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9905355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9905755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9906157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9906563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9906962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9907383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9907802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9908182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9908685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9909064Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9909411Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9909752Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9910120Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9910457Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9910791Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9911126Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9911468Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9911802Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9912137Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9912502Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9912836Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9913202Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:39.9913272Z PASSED [0.1204s] [ 4%] 2023-07-07T20:05:39.9913559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_roi_align SKIPPED [0.0016s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9913844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_roi_pool SKIPPED [0.0013s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9914114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_roll PASSED [0.0374s] [ 4%] 2023-07-07T20:05:39.9914399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_round SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9914765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rpn SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9915012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0050s] [ 4%] 2023-07-07T20:05:39.9915330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) [ 4%] 2023-07-07T20:05:39.9915620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scalar_type SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9915898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9916214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src SKIPPED [0.0010s] (Unsupported opset_version: 7 < 16) [ 4%] 2023-07-07T20:05:39.9916559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 4%] 2023-07-07T20:05:39.9916864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0007s] (Unsupported opset_version: 7 < 16) [ 4%] 2023-07-07T20:05:39.9917154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 7 < 16) [ 4%] 2023-07-07T20:05:39.9917464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9917779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0066s] [ 4%] 2023-07-07T20:05:39.9918075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 4%] 2023-07-07T20:05:39.9918367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 4%] 2023-07-07T20:05:39.9918635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_ PASSED [0.0094s] [ 4%] 2023-07-07T20:05:39.9918879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0061s] [ 4%] 2023-07-07T20:05:39.9919164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9919467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9919754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9920054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list SKIPPED [0.0008s] (Unsupported opset_version: 7 < 13) [ 4%] 2023-07-07T20:05:39.9920311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold PASSED [0.0065s] [ 4%] 2023-07-07T20:05:39.9920628Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_size SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9920919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9921216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9921517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script SKIPPED [0.0010s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9921812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9922056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0100s] [ 4%] 2023-07-07T20:05:39.9922353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9922653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9922911Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0321s] [ 4%] 2023-07-07T20:05:39.9923189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0176s] [ 4%] 2023-07-07T20:05:39.9923432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sort PASSED [0.0105s] [ 4%] 2023-07-07T20:05:39.9923752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9924049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9924341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_size_as_list SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9924808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0008s] [ 4%] 2023-07-07T20:05:39.9925204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0054s] [ 4%] 2023-07-07T20:05:39.9925476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_square PASSED [0.0038s] [ 4%] 2023-07-07T20:05:39.9925720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0041s] [ 4%] 2023-07-07T20:05:39.9926008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9926357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim SKIPPED [0.0010s] (Unsupported opset_version: 7 < 13) [ 4%] 2023-07-07T20:05:39.9926654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9926914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0041s] [ 4%] 2023-07-07T20:05:39.9927154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stack PASSED [0.0059s] [ 4%] 2023-07-07T20:05:39.9927391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std PASSED [0.0135s] [ 4%] 2023-07-07T20:05:39.9927643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0136s] [ 4%] 2023-07-07T20:05:39.9927894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0178s] [ 4%] 2023-07-07T20:05:39.9928153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0107s] [ 4%] 2023-07-07T20:05:39.9928405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0182s] [ 4%] 2023-07-07T20:05:39.9928692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 7 < 17) [ 4%] 2023-07-07T20:05:39.9929037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 7 < 17) [ 4%] 2023-07-07T20:05:39.9929330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0007s] (Unsupported opset_version: 7 < 17) [ 4%] 2023-07-07T20:05:39.9929649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0009s] (Unsupported opset_version: 7 < 17) [ 4%] 2023-07-07T20:05:39.9929940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0007s] (Unsupported opset_version: 7 < 17) [ 4%] 2023-07-07T20:05:39.9930231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 7 < 17) [ 4%] 2023-07-07T20:05:39.9930560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 7 < 17) [ 4%] 2023-07-07T20:05:39.9930798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_sum PASSED [0.0046s] [ 4%] 2023-07-07T20:05:39.9931060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0471s] [ 4%] 2023-07-07T20:05:39.9931365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 SKIPPED [0.0009s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9931699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9932006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9932315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9932617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9932892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0094s] [ 4%] 2023-07-07T20:05:39.9933193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9933434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_take PASSED [0.0066s] [ 4%] 2023-07-07T20:05:39.9933712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9934029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9934330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9934621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 4%] 2023-07-07T20:05:39.9934946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 4%] 2023-07-07T20:05:39.9935232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0009s] (Unsupported opset_version: 7 < 12) [ 4%] 2023-07-07T20:05:39.9935505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_topk PASSED [0.0060s] [ 4%] 2023-07-07T20:05:39.9935786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_topk_script SKIPPED [0.0009s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9936082Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 4%] 2023-07-07T20:05:39.9936365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_trace_script SKIPPED [0.0008s] (Unsupported opset_version: 7 < 10) [ 4%] 2023-07-07T20:05:39.9936652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 5%] 2023-07-07T20:05:39.9936927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0045s] [ 5%] 2023-07-07T20:05:39.9937222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0008s] (Unsupported opset_version: 7 < 15) [ 5%] 2023-07-07T20:05:39.9937540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 5%] 2023-07-07T20:05:39.9937788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_output PASSED [0.0053s] [ 5%] 2023-07-07T20:05:39.9938051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_primitive_input PASSED [0.0049s] [ 5%] 2023-07-07T20:05:39.9938311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs PASSED [0.0037s] [ 5%] 2023-07-07T20:05:39.9938590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_type_as SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 5%] 2023-07-07T20:05:39.9938876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs SKIPPED [0.0008s] (Unsupported opset_version: 7 < 12) [ 5%] 2023-07-07T20:05:39.9939199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_uninitialized SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 5%] 2023-07-07T20:05:39.9939499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 5%] 2023-07-07T20:05:39.9939777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unique SKIPPED [0.0007s] (Unsupported opset_version: 7 < 11) [ 5%] 2023-07-07T20:05:39.9940105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 7 < 13) [ 5%] 2023-07-07T20:05:39.9940360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_unsupported_pad PASSED [0.0039s] [ 5%] 2023-07-07T20:05:39.9940614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0140s] [ 5%] 2023-07-07T20:05:39.9940887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0170s] [ 5%] 2023-07-07T20:05:39.9941128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0143s] [ 5%] 2023-07-07T20:05:39.9941385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0180s] [ 5%] 2023-07-07T20:05:39.9941626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_view_as PASSED [0.0053s] [ 5%] 2023-07-07T20:05:39.9941903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where SKIPPED [0.0009s] (Unsupported opset_version: 7 < 9) [ 5%] 2023-07-07T20:05:39.9942222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_condition SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 5%] 2023-07-07T20:05:39.9942517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script SKIPPED [0.0008s] (Unsupported opset_version: 7 < 11) [ 5%] 2023-07-07T20:05:39.9942801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor SKIPPED [0.0008s] (Unsupported opset_version: 7 < 9) [ 5%] 2023-07-07T20:05:39.9943093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor SKIPPED [0.0007s] (Unsupported opset_version: 7 < 9) [ 5%] 2023-07-07T20:05:39.9943359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.0748s] [ 5%] 2023-07-07T20:05:39.9943624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM PASSED [0.0799s] [ 5%] 2023-07-07T20:05:39.9943889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0468s] [ 5%] 2023-07-07T20:05:39.9944186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_7_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input SKIPPED [0.0010s] (Unsupported opset_version: 7 < 9) [ 5%] 2023-07-07T20:05:39.9944521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9944835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script SKIPPED [0.0008s] (Unsupported opset_version: 8 < 15) [ 5%] 2023-07-07T20:05:39.9945080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0123s] [ 5%] 2023-07-07T20:05:39.9945381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_any SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9945667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9945949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_end SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9946258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9946553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9946852Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9947125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9947402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic PASSED [0.0499s] [ 5%] 2023-07-07T20:05:39.9947674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision PASSED [0.2264s] [ 5%] 2023-07-07T20:05:39.9947932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0468s] [ 5%] 2023-07-07T20:05:39.9948185Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool PASSED [0.0610s] [ 5%] 2023-07-07T20:05:39.9948443Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0644s] [ 5%] 2023-07-07T20:05:39.9948730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_as_strided SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9949352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9949893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9950537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9951136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9951701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.9951849Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9952394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.9952564Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.9952648Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.9952658Z 2023-07-07T20:05:39.9952780Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.9952912Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.9953157Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9953750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9954310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:39.9954458Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9955092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:39.9955228Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:39.9955313Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:39.9955320Z 2023-07-07T20:05:39.9955454Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:39.9955576Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:39.9955827Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9956386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:39.9956536Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:39.9956684Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:39.9956837Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:39.9956843Z 2023-07-07T20:05:39.9956931Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:39.9957111Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:39.9957255Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:39.9957394Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:39.9957415Z 2023-07-07T20:05:39.9957552Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:39.9957695Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:39.9957841Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:39.9957994Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:39.9958000Z 2023-07-07T20:05:39.9958005Z 2023-07-07T20:05:39.9958175Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:39.9958319Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:39.9958463Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:39.9958600Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:39.9958619Z 2023-07-07T20:05:39.9958749Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:39.9958892Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:39.9959063Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:39.9959213Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:39.9959219Z 2023-07-07T20:05:39.9959303Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:39.9959445Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:39.9959587Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:39.9959844Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9960128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_auto_grad SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9960373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0118s] [ 5%] 2023-07-07T20:05:39.9960743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0149s] [ 5%] 2023-07-07T20:05:39.9961044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0147s] [ 5%] 2023-07-07T20:05:39.9961343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0151s] [ 5%] 2023-07-07T20:05:39.9961642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0152s] [ 5%] 2023-07-07T20:05:39.9961906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0146s] [ 5%] 2023-07-07T20:05:39.9962160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0127s] [ 5%] 2023-07-07T20:05:39.9962408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d PASSED [0.0302s] [ 5%] 2023-07-07T20:05:39.9962667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine PASSED [0.0296s] [ 5%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_celu_default SKIPPED [0.0007s] (Unsupported opset_version: 8 < 12) [ 5%] 2023-07-07T20:05:39.9965828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_clamp PASSED [0.0689s] [ 5%] 2023-07-07T20:05:39.9966073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn PASSED [0.0726s] [ 5%] 2023-07-07T20:05:39.9966352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_clip_int PASSED [0.0131s] [ 5%] 2023-07-07T20:05:39.9966593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv PASSED [0.6085s] [ 5%] 2023-07-07T20:05:39.9966850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0668s] [ 5%] 2023-07-07T20:05:39.9967100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.7020s] [ 5%] 2023-07-07T20:05:39.9967338Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose PASSED [0.3510s] [ 5%] 2023-07-07T20:05:39.9967634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32 SKIPPED [0.0015s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9967923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis SKIPPED [0.0013s] (Unsupported 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[ 5%] 2023-07-07T20:05:39.9972228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0556s] [ 5%] 2023-07-07T20:05:39.9972486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0321s] [ 5%] 2023-07-07T20:05:39.9972739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_div_rounding_mode PASSED [0.2506s] [ 5%] 2023-07-07T20:05:39.9972985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dropout PASSED [0.0098s] [ 5%] 2023-07-07T20:05:39.9973276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_dropout_training SKIPPED [0.0009s] (Unsupported opset_version: 8 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9975101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation SKIPPED [0.0007s] (Unsupported opset_version: 8 < 13) [ 5%] 2023-07-07T20:05:39.9975346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flatten PASSED [0.0271s] [ 5%] 2023-07-07T20:05:39.9975605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flatten2d PASSED [0.0096s] [ 5%] 2023-07-07T20:05:39.9975851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar SKIPPED [0.0012s] (Unsupported opset_version: 8 < 10) [ 5%] 2023-07-07T20:05:39.9977589Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0296s] [ 5%] 2023-07-07T20:05:39.9977875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_full_like_value SKIPPED [0.0015s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9978157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_full_trace SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9978401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0256s] [ 5%] 2023-07-07T20:05:39.9978646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d PASSED [0.0281s] [ 5%] 2023-07-07T20:05:39.9978919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gather SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9979224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9979501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_getitem SKIPPED [0.0007s] (Unsupported 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0007s] (Unsupported opset_version: 8 < 16) [ 5%] 2023-07-07T20:05:39.9982466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0007s] (Unsupported opset_version: 8 < 16) [ 5%] 2023-07-07T20:05:39.9982794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0007s] (Unsupported opset_version: 8 < 16) [ 5%] 2023-07-07T20:05:39.9983042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.1154s] [ 5%] 2023-07-07T20:05:39.9983292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias PASSED [0.1445s] [ 5%] 2023-07-07T20:05:39.9983529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gt PASSED [0.0345s] [ 5%] 2023-07-07T20:05:39.9983777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0082s] [ 5%] 2023-07-07T20:05:39.9984076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9984403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9984694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9984931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid PASSED [0.0176s] [ 5%] 2023-07-07T20:05:39.9985210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0078s] [ 5%] 2023-07-07T20:05:39.9985453Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_hardtanh PASSED [0.0087s] [ 5%] 2023-07-07T20:05:39.9985712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.1701s] [ 5%] 2023-07-07T20:05:39.9986016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_if_fold SKIPPED [0.0010s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9986291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_if_list SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 5%] 2023-07-07T20:05:39.9986566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_if_view SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 5%] 2023-07-07T20:05:39.9986843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_im2col SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9987126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice PASSED [0.0111s] [ 5%] 2023-07-07T20:05:39.9987380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0113s] [ 5%] 2023-07-07T20:05:39.9987675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9987955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_add_if SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9988240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9989953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4 SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9990270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9990566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9990860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_slice_index SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9991181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9991488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9991760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index PASSED [0.0116s] [ 5%] 2023-07-07T20:05:39.9992026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_index_select_scaler_index PASSED [0.0112s] [ 5%] 2023-07-07T20:05:39.9992291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0196s] [ 5%] 2023-07-07T20:05:39.9992620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop SKIPPED [0.0009s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9992905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9993178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9993466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2 SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9993753Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9994034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero_qkv SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9994307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats PASSED [0.0822s] [ 5%] 2023-07-07T20:05:39.9994668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9994990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats PASSED [0.0606s] [ 5%] 2023-07-07T20:05:39.9995299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats SKIPPED [0.0010s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9995594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.2890s] [ 5%] 2023-07-07T20:05:39.9995894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9996165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.3560s] [ 5%] 2023-07-07T20:05:39.9996458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.2420s] [ 5%] 2023-07-07T20:05:39.9996757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample SKIPPED [0.0010s] (Unsupported opset_version: 8 < 10) [ 5%] 2023-07-07T20:05:39.9997072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 5%] 2023-07-07T20:05:39.9997365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_no_shape SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 5%] 2023-07-07T20:05:39.9997719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 5%] 2023-07-07T20:05:39.9997987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_isfinite SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:39.9998262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_isnan SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:39.9998505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_l2_norm PASSED [0.0192s] [ 6%] 2023-07-07T20:05:39.9998750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0163s] [ 6%] 2023-07-07T20:05:39.9999025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_le SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:39.9999310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_le_scalar SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:39.9999593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:39.9999846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm PASSED [0.1181s] [ 6%] 2023-07-07T20:05:40.0000092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.2276s] [ 6%] 2023-07-07T20:05:40.0000404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linspace SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0000700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_linspace_negative_start SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0001008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_append SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0001308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 6%] 2023-07-07T20:05:40.0001608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 6%] 2023-07-07T20:05:40.0001932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_del SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0002216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_del_in_block SKIPPED [0.0010s] (Unsupported opset_version: 8 < 13) [ 6%] 2023-07-07T20:05:40.0002497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0007s] (Unsupported opset_version: 8 < 13) [ 6%] 2023-07-07T20:05:40.0002777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_pop SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0003084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_list_unpack SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0003326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_log PASSED [0.0091s] [ 6%] 2023-07-07T20:05:40.0003564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_log10 PASSED [0.0100s] [ 6%] 2023-07-07T20:05:40.0003842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logdet SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0004125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logical_not SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0004556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logical_or SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0004874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logical_xor SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0005156Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logit SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0005405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0304s] [ 6%] 2023-07-07T20:05:40.0005708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0522s] [ 6%] 2023-07-07T20:05:40.0005984Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim SKIPPED [0.0009s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0006230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2 PASSED [0.0112s] [ 6%] 2023-07-07T20:05:40.0006541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lstm SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0006834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0007121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0007449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0007734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_masked_select SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0007975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_matmul PASSED [0.0185s] [ 6%] 2023-07-07T20:05:40.0008221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_max_tensors PASSED [0.0092s] [ 6%] 2023-07-07T20:05:40.0008537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0008785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0144s] [ 6%] 2023-07-07T20:05:40.0009035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0257s] [ 6%] 2023-07-07T20:05:40.0009294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0206s] [ 6%] 2023-07-07T20:05:40.0009597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0009894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0010194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0010471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_moveaxis SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0010712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_mul_bool PASSED [0.0340s] [ 6%] 2023-07-07T20:05:40.0010990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.2366s] [ 6%] 2023-07-07T20:05:40.0011345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0013s] (Unsupported opset_version: 8 < 13) [ 6%] 2023-07-07T20:05:40.0011587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_narrow PASSED [0.0141s] [ 6%] 2023-07-07T20:05:40.0011890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_new_zeros SKIPPED [0.0012s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0012173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean SKIPPED [0.0011s] (Unsupported opset_version: 8 < 12) [ 6%] 2023-07-07T20:05:40.0012463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none SKIPPED [0.0011s] (Unsupported opset_version: 8 < 12) [ 6%] 2023-07-07T20:05:40.0012772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_sum SKIPPED [0.0011s] (Unsupported opset_version: 8 < 12) [ 6%] 2023-07-07T20:05:40.0013073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index SKIPPED [0.0011s] (Unsupported opset_version: 8 < 12) [ 6%] 2023-07-07T20:05:40.0013375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0013621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_normalize PASSED [0.0509s] [ 6%] 2023-07-07T20:05:40.0013880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_numel PASSED [0.0154s] [ 6%] 2023-07-07T20:05:40.0014122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0121s] [ 6%] 2023-07-07T20:05:40.0014403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_ones_bool SKIPPED [0.0012s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0014704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0 SKIPPED [0.0011s] (Unsupported opset_version: 8 < 16) [ 6%] 2023-07-07T20:05:40.0015007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0011s] (Unsupported opset_version: 8 < 16) [ 6%] 2023-07-07T20:05:40.0015317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0011s] (Unsupported opset_version: 8 < 16) [ 6%] 2023-07-07T20:05:40.0015622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1 SKIPPED [0.0011s] (Unsupported opset_version: 8 < 16) [ 6%] 2023-07-07T20:05:40.0015926Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0011s] (Unsupported opset_version: 8 < 16) [ 6%] 2023-07-07T20:05:40.0016233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pad_circular SKIPPED [0.0011s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0016479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pad_int PASSED [0.0169s] [ 6%] 2023-07-07T20:05:40.0016778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0017092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0017330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_pow PASSED [0.0786s] [ 6%] 2023-07-07T20:05:40.0017609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_prim_min SKIPPED [0.0009s] (Unsupported opset_version: 8 < 12) [ 6%] 2023-07-07T20:05:40.0017898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0098s] [ 6%] 2023-07-07T20:05:40.0018145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_integer PASSED [0.0090s] [ 6%] 2023-07-07T20:05:40.0018429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_avg_pool2d SKIPPED [0.0009s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0018715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 6%] 2023-07-07T20:05:40.0019034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 6%] 2023-07-07T20:05:40.0019321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0019611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 6%] 2023-07-07T20:05:40.0019899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0020205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0020516Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0020816Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0021120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_shape SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0021425Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0021772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0022096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0022413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0022711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0023034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0023308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 6%] 2023-07-07T20:05:40.0023687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0003s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 6%] 2023-07-07T20:05:40.0023993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0024329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0024642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0024942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0025240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_select SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0025549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0025793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0507s] [ 6%] 2023-07-07T20:05:40.0026080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0026326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_dtype PASSED [0.0452s] [ 6%] 2023-07-07T20:05:40.0026645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_dynamic_size SKIPPED [0.0010s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0026891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0204s] [ 6%] 2023-07-07T20:05:40.0027142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0553s] [ 6%] 2023-07-07T20:05:40.0027450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reciprocal SKIPPED [0.0015s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0027703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0128s] [ 6%] 2023-07-07T20:05:40.0027937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0178s] [ 6%] 2023-07-07T20:05:40.0028216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0185s] [ 6%] 2023-07-07T20:05:40.0028452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_relu6 PASSED [0.0104s] [ 6%] 2023-07-07T20:05:40.0028696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0072s] [ 6%] 2023-07-07T20:05:40.0028936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_remainder PASSED [0.0490s] [ 6%] 2023-07-07T20:05:40.0029184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0235s] [ 6%] 2023-07-07T20:05:40.0029503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 6%] 2023-07-07T20:05:40.0029764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reshape_constant_fold PASSED [0.0103s] [ 6%] 2023-07-07T20:05:40.0030027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0106s] [ 6%] 2023-07-07T20:05:40.0030432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0030839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0031240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 6%] 2023-07-07T20:05:40.0031637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) 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Conditioning on input type via prim::isinstance unsupported in ONNX) [ 7%] 2023-07-07T20:05:40.0088510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_round SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0088785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rpn SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0089032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0080s] [ 7%] 2023-07-07T20:05:40.0089312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0094s] [ 7%] 2023-07-07T20:05:40.0089563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0147s] [ 7%] 2023-07-07T20:05:40.0089846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0090190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src SKIPPED [0.0008s] (Unsupported opset_version: 8 < 16) [ 7%] 2023-07-07T20:05:40.0090532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 16) [ 7%] 2023-07-07T20:05:40.0090862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0007s] (Unsupported opset_version: 8 < 16) [ 7%] 2023-07-07T20:05:40.0091150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 8 < 16) [ 7%] 2023-07-07T20:05:40.0091469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 8 < 16) [ 7%] 2023-07-07T20:05:40.0091758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0092055Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 7%] 2023-07-07T20:05:40.0092298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0167s] [ 7%] 2023-07-07T20:05:40.0092581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4 SKIPPED [0.0009s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0092876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 7%] 2023-07-07T20:05:40.0093161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0093401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_silu PASSED [0.0111s] [ 7%] 2023-07-07T20:05:40.0093712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 7%] 2023-07-07T20:05:40.0094010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 7%] 2023-07-07T20:05:40.0094311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 7%] 2023-07-07T20:05:40.0094577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0103s] [ 7%] 2023-07-07T20:05:40.0094829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0130s] [ 7%] 2023-07-07T20:05:40.0095129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_slice_with_1d_input_index SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0095386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_softmax PASSED [0.1434s] [ 7%] 2023-07-07T20:05:40.0095630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_softplus PASSED [0.0312s] [ 7%] 2023-07-07T20:05:40.0095916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0010s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0096202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0096525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0096822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0097119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_size_with_slice SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0097379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0008s] [ 7%] 2023-07-07T20:05:40.0097624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_square PASSED [0.0094s] [ 7%] 2023-07-07T20:05:40.0097873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0096s] [ 7%] 2023-07-07T20:05:40.0098125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0080s] [ 7%] 2023-07-07T20:05:40.0098416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0098681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0076s] [ 7%] 2023-07-07T20:05:40.0099036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0099268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stack PASSED [0.0116s] [ 7%] 2023-07-07T20:05:40.0099552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic SKIPPED [0.0011s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0099830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0265s] [ 7%] 2023-07-07T20:05:40.0100081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0160s] [ 7%] 2023-07-07T20:05:40.0100329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0260s] [ 7%] 2023-07-07T20:05:40.0100604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0234s] [ 7%] 2023-07-07T20:05:40.0100855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0284s] [ 7%] 2023-07-07T20:05:40.0101144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0101431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0101726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0102048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_same_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0102351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0102641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0102935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0103220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 7%] 2023-07-07T20:05:40.0103483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0547s] [ 7%] 2023-07-07T20:05:40.0103790Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box SKIPPED [0.0009s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0104066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes PASSED [0.0147s] [ 7%] 2023-07-07T20:05:40.0104404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0104710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 7%] 2023-07-07T20:05:40.0105015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0128s] [ 7%] 2023-07-07T20:05:40.0105298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0105544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensor PASSED [0.0745s] [ 7%] 2023-07-07T20:05:40.0105867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 7%] 2023-07-07T20:05:40.0106181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 7%] 2023-07-07T20:05:40.0106473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count SKIPPED [0.0008s] (Unsupported opset_version: 8 < 12) [ 7%] 2023-07-07T20:05:40.0106770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0007s] (Unsupported opset_version: 8 < 12) [ 7%] 2023-07-07T20:05:40.0107052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_to_device SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0107359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tolist SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0107586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_topk PASSED [0.0108s] [ 7%] 2023-07-07T20:05:40.0107833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0098s] [ 7%] 2023-07-07T20:05:40.0108119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_trace_script SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 7%] 2023-07-07T20:05:40.0108394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tril SKIPPED [0.0007s] (Unsupported opset_version: 8 < 14) [ 7%] 2023-07-07T20:05:40.0108645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0088s] [ 7%] 2023-07-07T20:05:40.0108941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 7%] 2023-07-07T20:05:40.0109254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 7%] 2023-07-07T20:05:40.0109533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception PASSED [0.0147s] [ 7%] 2023-07-07T20:05:40.0110074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_tuple_with_none_outputs SKIPPED [0.0008s] (Skip verify test for TorchScript. In trace: Outputs that are always None are removed. In script: Outputs that are always None are removed before opset 15. After opset 15, we replace the None in output with Optional node.) [ 7%] 2023-07-07T20:05:40.0110403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs SKIPPED [0.0007s] (Unsupported opset_version: 8 < 12) [ 7%] 2023-07-07T20:05:40.0110692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_uninitialized SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0110989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0111312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0007s] (Unsupported opset_version: 8 < 14) [ 7%] 2023-07-07T20:05:40.0111614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList SKIPPED [0.0007s] (Unsupported opset_version: 8 < 14) [ 7%] 2023-07-07T20:05:40.0111920Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape SKIPPED [0.0007s] (Unsupported opset_version: 8 < 14) [ 7%] 2023-07-07T20:05:40.0112205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0112523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 7%] 2023-07-07T20:05:40.0112805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_unsupported_pad SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 7%] 2023-07-07T20:05:40.0113052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0263s] [ 7%] 2023-07-07T20:05:40.0113306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims PASSED [0.0273s] [ 7%] 2023-07-07T20:05:40.0113566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction PASSED [0.0157s] [ 7%] 2023-07-07T20:05:40.0113823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0263s] [ 7%] 2023-07-07T20:05:40.0114076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0339s] [ 7%] 2023-07-07T20:05:40.0114364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 7%] 2023-07-07T20:05:40.0114718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_where SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0115049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_where_condition SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0115346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0115649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0912s] [ 7%] 2023-07-07T20:05:40.0115950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0116231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_MSELoss SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0116506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0084s] [ 7%] 2023-07-07T20:05:40.0116768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_all SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0117011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0111s] [ 7%] 2023-07-07T20:05:40.0117292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0117581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0117903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0118184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_out SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0118483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0118773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step SKIPPED [0.0016s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0119067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0119360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats SKIPPED [0.0012s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0119656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0119958Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override SKIPPED [0.0012s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0120269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_argsort SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0120530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool PASSED [0.0148s] [ 7%] 2023-07-07T20:05:40.0120785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_long PASSED [0.0260s] [ 7%] 2023-07-07T20:05:40.0121078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_as_strided SKIPPED [0.0014s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0121705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0122291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0122433Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0122518Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0122529Z 2023-07-07T20:05:40.0122666Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0122801Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0123045Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0123606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0123814Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0123962Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0124099Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0124106Z 2023-07-07T20:05:40.0124192Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0124335Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0124627Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0124783Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0124789Z 2023-07-07T20:05:40.0124937Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0125084Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0125230Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0125367Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0125375Z 2023-07-07T20:05:40.0125395Z 2023-07-07T20:05:40.0125525Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0125670Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0125815Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0125964Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0125970Z 2023-07-07T20:05:40.0126116Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0126261Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0126406Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0126542Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0126630Z 2023-07-07T20:05:40.0126703Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0126847Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0126992Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0127253Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0127890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0128506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0129051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.0129231Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0129824Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0130370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0130508Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0130584Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0130601Z 2023-07-07T20:05:40.0130760Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0130896Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0131138Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0131695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0131843Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0131991Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0132137Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0132143Z 2023-07-07T20:05:40.0132229Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0132365Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0132508Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0132655Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0132661Z 2023-07-07T20:05:40.0132806Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0132947Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0133091Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0133242Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0133247Z 2023-07-07T20:05:40.0133252Z 2023-07-07T20:05:40.0133393Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0133568Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0133700Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0133850Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0133856Z 2023-07-07T20:05:40.0133999Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0134140Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0134283Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0134432Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0134438Z 2023-07-07T20:05:40.0134549Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0134694Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0134825Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0135077Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0135328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0115s] [ 7%] 2023-07-07T20:05:40.0135611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0089s] [ 7%] 2023-07-07T20:05:40.0135908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0176s] [ 7%] 2023-07-07T20:05:40.0136212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0162s] [ 7%] 2023-07-07T20:05:40.0136508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0179s] [ 7%] 2023-07-07T20:05:40.0136832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0177s] [ 7%] 2023-07-07T20:05:40.0137089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.5977s] [ 7%] 2023-07-07T20:05:40.0137353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0128s] [ 7%] 2023-07-07T20:05:40.0137604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0096s] [ 7%] 2023-07-07T20:05:40.0137888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batched_nms SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0138127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d PASSED [0.0160s] [ 7%] 2023-07-07T20:05:40.0138387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine PASSED [0.0177s] [ 7%] 2023-07-07T20:05:40.0138654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats PASSED [0.0312s] [ 7%] 2023-07-07T20:05:40.0138912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0194s] [ 7%] 2023-07-07T20:05:40.0139158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d PASSED [0.1727s] [ 7%] 2023-07-07T20:05:40.0139461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer PASSED [0.1376s] [ 7%] 2023-07-07T20:05:40.0139705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_bernoulli PASSED [0.0203s] [ 7%] 2023-07-07T20:05:40.0140018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8 SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0140312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors SKIPPED [0.0012s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0140595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_bucketize SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0140868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_cast_to PASSED [0.0043s] [ 7%] 2023-07-07T20:05:40.0141148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_celu_cast SKIPPED [0.0011s] (Unsupported opset_version: 8 < 12) [ 7%] 2023-07-07T20:05:40.0141391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_clamp PASSED [0.0230s] [ 7%] 2023-07-07T20:05:40.0141636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn PASSED [0.0288s] [ 7%] 2023-07-07T20:05:40.0141922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_clip_boxes_to_image SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0142226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_concat PASSED [0.0071s] [ 7%] 2023-07-07T20:05:40.0142476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0137s] [ 7%] 2023-07-07T20:05:40.0142717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv PASSED [0.6299s] [ 7%] 2023-07-07T20:05:40.0142955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv_bn PASSED [0.0558s] [ 7%] 2023-07-07T20:05:40.0143209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0590s] [ 7%] 2023-07-07T20:05:40.0143465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.6692s] [ 7%] 2023-07-07T20:05:40.0143761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32 SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 7%] 2023-07-07T20:05:40.0144050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis SKIPPED [0.0011s] (Unsupported opset_version: 8 < 11) [ 7%] 2023-07-07T20:05:40.0144336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing SKIPPED [0.0011s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0144647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_cumsum SKIPPED [0.0011s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0144938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast SKIPPED [0.0011s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0145219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dequantize SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0145552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting SKIPPED [0.0011s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0145820Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_device_eq SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0146102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_diagonal SKIPPED [0.0011s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0146371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dict PASSED [0.0068s] [ 8%] 2023-07-07T20:05:40.0146618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dict_output PASSED [0.0069s] [ 8%] 2023-07-07T20:05:40.0146862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dict_str PASSED [0.0071s] [ 8%] 2023-07-07T20:05:40.0147095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dim PASSED [0.0067s] [ 8%] 2023-07-07T20:05:40.0147420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0147678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0142s] [ 8%] 2023-07-07T20:05:40.0147931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_div_rounding_mode PASSED [0.1333s] [ 8%] 2023-07-07T20:05:40.0148176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dropout PASSED [0.0052s] [ 8%] 2023-07-07T20:05:40.0148466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0148765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0149065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0149330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_einsum SKIPPED [0.0008s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0149615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag SKIPPED [0.0007s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0150063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input SKIPPED [0.0001s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 8%] 2023-07-07T20:05:40.0150354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0150629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_empty_branch PASSED [0.0037s] [ 8%] 2023-07-07T20:05:40.0150901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_eq SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0151175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_eye SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0151478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_activation SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0151804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel SKIPPED [0.0007s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0152100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0152372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fill SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0152622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_flatten2d PASSED [0.0058s] [ 8%] 2023-07-07T20:05:40.0152950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0153272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 8%] 2023-07-07T20:05:40.0153580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_floordiv SKIPPED [0.0004s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 8%] 2023-07-07T20:05:40.0153857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fmod SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0154134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0154413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_full_like SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0154777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_full_trace SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0155027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0157s] [ 8%] 2023-07-07T20:05:40.0155306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d PASSED [0.0166s] [ 8%] 2023-07-07T20:05:40.0155566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block PASSED [0.0136s] [ 8%] 2023-07-07T20:05:40.0155847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gather SKIPPED [0.0012s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0156151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gelu SKIPPED [0.0012s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0156543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0156886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0157253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0157575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0157896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0158251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0158581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0158913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0159236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0159563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0159874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0160205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0160564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0160891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0012s] (Unsupported opset_version: 8 < 16) [ 8%] 2023-07-07T20:05:40.0161172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding PASSED [0.1243s] [ 8%] 2023-07-07T20:05:40.0161421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0078s] [ 8%] 2023-07-07T20:05:40.0161665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar PASSED [0.0099s] [ 8%] 2023-07-07T20:05:40.0161966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0162280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardshrink SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0162572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0162814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0130s] [ 8%] 2023-07-07T20:05:40.0163070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0034s] [ 8%] 2023-07-07T20:05:40.0163376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values PASSED [0.0034s] [ 8%] 2023-07-07T20:05:40.0163658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_if_fold SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0163933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_if_list SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0164206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_if_transpose SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0164602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0069s] [ 8%] 2023-07-07T20:05:40.0164900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0165182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_copy SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0165459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_mask SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0165733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0166088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0166381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0010s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0166713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_inplace_ops SKIPPED [0.0010s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0166998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0167288Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0167618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0167880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index PASSED [0.0082s] [ 8%] 2023-07-07T20:05:40.0168140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic PASSED [0.0033s] [ 8%] 2023-07-07T20:05:40.0168441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0168745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0169035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_list SKIPPED [0.0010s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0169325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0169612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop_2 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0169895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0170188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0170497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0170769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.2358s] [ 8%] 2023-07-07T20:05:40.0171070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats SKIPPED [0.0015s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0171382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.2688s] [ 8%] 2023-07-07T20:05:40.0171661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error PASSED [0.0291s] [ 8%] 2023-07-07T20:05:40.0171984Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape SKIPPED [0.0014s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0172282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0172567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_isfinite SKIPPED [0.0013s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0172871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_isinf SKIPPED [0.0013s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0173110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_item PASSED [0.0083s] [ 8%] 2023-07-07T20:05:40.0173377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0173619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0131s] [ 8%] 2023-07-07T20:05:40.0173864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_l2_norm PASSED [0.0112s] [ 8%] 2023-07-07T20:05:40.0174162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_le SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0174417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_linalg_matrix_norm PASSED [0.1249s] [ 8%] 2023-07-07T20:05:40.0174662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_linear PASSED [0.0220s] [ 8%] 2023-07-07T20:05:40.0174939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list SKIPPED [0.0014s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0175227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0175524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0175825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0013s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0176116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested SKIPPED [0.0015s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0176432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested SKIPPED [0.0009s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0176722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_pop_in_block SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0177003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_set SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0177310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0177554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_log10 PASSED [0.0057s] [ 8%] 2023-07-07T20:05:40.0177795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_log1p PASSED [0.0048s] [ 8%] 2023-07-07T20:05:40.0178104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_logdet SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0178384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_logical_xor SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0178636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0190s] [ 8%] 2023-07-07T20:05:40.0178921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose SKIPPED [0.0009s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0179173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2 PASSED [0.0039s] [ 8%] 2023-07-07T20:05:40.0179477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0179756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0180012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.0907s] [ 8%] 2023-07-07T20:05:40.0180294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_bias SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0180583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0180882Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0181158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0181440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0181763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_masked_select SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0182011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_matmul PASSED [0.0098s] [ 8%] 2023-07-07T20:05:40.0182297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes SKIPPED [0.0009s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0182623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum SKIPPED [0.0010s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0182876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0067s] [ 8%] 2023-07-07T20:05:40.0183124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d PASSED [0.0063s] [ 8%] 2023-07-07T20:05:40.0183456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride PASSED [0.0083s] [ 8%] 2023-07-07T20:05:40.0183747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0184007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0084s] [ 8%] 2023-07-07T20:05:40.0184257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_meshgrid PASSED [0.0145s] [ 8%] 2023-07-07T20:05:40.0184509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar PASSED [0.0146s] [ 8%] 2023-07-07T20:05:40.0184779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_min_int PASSED [0.0247s] [ 8%] 2023-07-07T20:05:40.0185053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes SKIPPED [0.0009s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0185297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mish PASSED [0.0125s] [ 8%] 2023-07-07T20:05:40.0185608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 8%] 2023-07-07T20:05:40.0185909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0186193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_moveaxis SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0186487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multi_scale_roi_align SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0186736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multinomial PASSED [0.0105s] [ 8%] 2023-07-07T20:05:40.0187025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.1079s] [ 8%] 2023-07-07T20:05:40.0187343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0009s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0187616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_mv SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0187924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0188171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_narrow PASSED [0.0073s] [ 8%] 2023-07-07T20:05:40.0188457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_narrow_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0188747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0053s] [ 8%] 2023-07-07T20:05:40.0189013Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_new_zeros SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0189297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean SKIPPED [0.0007s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0189593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0189922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights SKIPPED [0.0009s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0190229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0190504Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_nms SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0190755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_norm_with_dtype PASSED [0.0071s] [ 8%] 2023-07-07T20:05:40.0191000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_normalize PASSED [0.0114s] [ 8%] 2023-07-07T20:05:40.0191251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_numel_empty PASSED [0.0061s] [ 8%] 2023-07-07T20:05:40.0191495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0041s] [ 8%] 2023-07-07T20:05:40.0191776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_ones_bool SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0192079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 8%] 2023-07-07T20:05:40.0192413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 8%] 2023-07-07T20:05:40.0192692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_outer SKIPPED [0.0008s] (Unsupported opset_version: 8 < 12) [ 8%] 2023-07-07T20:05:40.0192975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_circular SKIPPED [0.0010s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0193289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0193588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0193918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 8%] 2023-07-07T20:05:40.0194204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0194460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.1603s] [ 8%] 2023-07-07T20:05:40.0194826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_pixel_shuffle SKIPPED [0.0010s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0195084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar PASSED [0.0055s] [ 8%] 2023-07-07T20:05:40.0195376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0053s] [ 8%] 2023-07-07T20:05:40.0195643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0050s] [ 8%] 2023-07-07T20:05:40.0195965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 8%] 2023-07-07T20:05:40.0196246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d SKIPPED [0.0011s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0196528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_qat_relu SKIPPED [0.0011s] (Unsupported opset_version: 8 < 13) [ 8%] 2023-07-07T20:05:40.0196821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0197133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0197439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point SKIPPED [0.0010s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0197779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0198068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 8%] 2023-07-07T20:05:40.0198391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu SKIPPED [0.0013s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0198686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0198990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0199316Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0199606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0199986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 9%] 2023-07-07T20:05:40.0200292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0200631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0200950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0201260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0014s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0201557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0201856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_select SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0202159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0202455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view SKIPPED [0.0011s] (Unsupported opset_version: 8 < 10) [ 9%] 2023-07-07T20:05:40.0202695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rand PASSED [0.0120s] [ 9%] 2023-07-07T20:05:40.0202973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0102s] [ 9%] 2023-07-07T20:05:40.0203215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype PASSED [0.0095s] [ 9%] 2023-07-07T20:05:40.0203523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_randn PASSED [0.0081s] [ 9%] 2023-07-07T20:05:40.0203799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0096s] [ 9%] 2023-07-07T20:05:40.0204085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reciprocal SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0204333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0094s] [ 9%] 2023-07-07T20:05:40.0204755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_min_max PASSED [0.0163s] [ 9%] 2023-07-07T20:05:40.0205003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod PASSED [0.0275s] [ 9%] 2023-07-07T20:05:40.0205250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum PASSED [0.0339s] [ 9%] 2023-07-07T20:05:40.0205507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0095s] [ 9%] 2023-07-07T20:05:40.0205749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_relu6 PASSED [0.0056s] [ 9%] 2023-07-07T20:05:40.0206044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0045s] [ 9%] 2023-07-07T20:05:40.0206292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_remainder PASSED [0.0301s] [ 9%] 2023-07-07T20:05:40.0206523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_repeat PASSED [0.0109s] [ 9%] 2023-07-07T20:05:40.0206815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0207112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave_noop SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0207369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0098s] [ 9%] 2023-07-07T20:05:40.0207626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold PASSED [0.0061s] [ 9%] 2023-07-07T20:05:40.0208028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0208426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0208871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0209293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0209676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0210103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0210498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0210880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0211304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0211709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0212109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0212507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0212903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0213294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0213730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 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2023-07-07T20:05:40.0215358Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0215750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0216169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0216558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0216961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0217363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0217756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0218148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0218582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0218979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0219402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0219796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0220214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0220616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0221004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0221421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0221810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0222213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0222615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0223023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0223419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0223850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0224302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0224697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0225082Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0225502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0225900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0226325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0226730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0015s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0227131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0227540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0227935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0228331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0228757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0229144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0229565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0229957Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0230379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0230777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0231172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0231598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0232003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0232397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0232803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0233201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0233593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0234017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0234436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0014s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0234902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0235332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0235715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0236115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0236552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0236948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0237347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0237745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0238143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0238531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0238953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0239365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0239748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0240141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0240555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0240940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0241373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0012s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0241778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0242174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0014s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0242602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0243199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0243818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0244517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0245188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0245813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0246397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0247041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0247637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0248232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0248861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0249451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0249877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_round SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0250253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0057s] [ 9%] 2023-07-07T20:05:40.0250621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0050s] [ 9%] 2023-07-07T20:05:40.0250994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0047s] [ 9%] 2023-07-07T20:05:40.0251377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0105s] [ 9%] 2023-07-07T20:05:40.0251804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scalar_type SKIPPED [0.0008s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0252354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 16) [ 9%] 2023-07-07T20:05:40.0252862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0007s] (Unsupported opset_version: 8 < 16) [ 9%] 2023-07-07T20:05:40.0253390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 16) [ 9%] 2023-07-07T20:05:40.0253858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0254225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_select PASSED [0.0069s] [ 9%] 2023-07-07T20:05:40.0254652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0063s] [ 9%] 2023-07-07T20:05:40.0255087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 9%] 2023-07-07T20:05:40.0255526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 9%] 2023-07-07T20:05:40.0255953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2 SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0256401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0256820Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4 SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0257220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_5 SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0257647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop SKIPPED [0.0009s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0258096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list SKIPPED [0.0007s] (Unsupported opset_version: 8 < 13) [ 9%] 2023-07-07T20:05:40.0258538Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2 SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0258958Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0259351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0101s] [ 9%] 2023-07-07T20:05:40.0259803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0260296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0260665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softmax PASSED [0.0625s] [ 9%] 2023-07-07T20:05:40.0261094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0247s] [ 9%] 2023-07-07T20:05:40.0261466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0154s] [ 9%] 2023-07-07T20:05:40.0261900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_softshrink SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 9%] 2023-07-07T20:05:40.0262267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sort PASSED [0.0096s] [ 9%] 2023-07-07T20:05:40.0262672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split PASSED [0.0178s] [ 9%] 2023-07-07T20:05:40.0263093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0263525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_script SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0263968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0264392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0008s] [ 9%] 2023-07-07T20:05:40.0264763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0045s] [ 9%] 2023-07-07T20:05:40.0265145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0041s] [ 9%] 2023-07-07T20:05:40.0265578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0266029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0266479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0266870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0044s] [ 9%] 2023-07-07T20:05:40.0267231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std PASSED [0.0136s] [ 9%] 2023-07-07T20:05:40.0267611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0167s] [ 9%] 2023-07-07T20:05:40.0268018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0170s] [ 9%] 2023-07-07T20:05:40.0268393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0141s] [ 9%] 2023-07-07T20:05:40.0268769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0108s] [ 9%] 2023-07-07T20:05:40.0269260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0269706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0270172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0270656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_same_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0271109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0271568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0272023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0009s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0272502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0007s] (Unsupported opset_version: 8 < 17) [ 9%] 2023-07-07T20:05:40.0272889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0192s] [ 9%] 2023-07-07T20:05:40.0273362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 SKIPPED [0.0009s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0273828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 9%] 2023-07-07T20:05:40.0274298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 10%] 2023-07-07T20:05:40.0274761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0054s] [ 10%] 2023-07-07T20:05:40.0275137Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor PASSED [0.0161s] [ 10%] 2023-07-07T20:05:40.0275577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 10%] 2023-07-07T20:05:40.0276088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0196s] [ 10%] 2023-07-07T20:05:40.0276525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0009s] (Unsupported opset_version: 8 < 13) [ 10%] 2023-07-07T20:05:40.0276977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0008s] (Unsupported opset_version: 8 < 13) [ 10%] 2023-07-07T20:05:40.0277452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count SKIPPED [0.0008s] (Unsupported opset_version: 8 < 12) [ 10%] 2023-07-07T20:05:40.0277897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0007s] (Unsupported opset_version: 8 < 12) [ 10%] 2023-07-07T20:05:40.0278336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_to_device SKIPPED [0.0007s] (Unsupported opset_version: 8 < 9) [ 10%] 2023-07-07T20:05:40.0278791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tolist SKIPPED [0.0009s] (Unsupported opset_version: 8 < 9) [ 10%] 2023-07-07T20:05:40.0279153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_topk PASSED [0.0058s] [ 10%] 2023-07-07T20:05:40.0279584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_topk_script SKIPPED [0.0008s] (Unsupported opset_version: 8 < 10) [ 10%] 2023-07-07T20:05:40.0280040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted SKIPPED [0.0007s] (Unsupported opset_version: 8 < 11) [ 10%] 2023-07-07T20:05:40.0280448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0049s] [ 10%] 2023-07-07T20:05:40.0280847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0098s] [ 10%] 2023-07-07T20:05:40.0281271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tril SKIPPED [0.0008s] (Unsupported opset_version: 8 < 14) [ 10%] 2023-07-07T20:05:40.0281649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0042s] [ 10%] 2023-07-07T20:05:40.0282103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 8 < 15) [ 10%] 2023-07-07T20:05:40.0282658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 10%] 2023-07-07T20:05:40.0283053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs PASSED [0.0037s] [ 10%] 2023-07-07T20:05:40.0283497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_uninitialized SKIPPED [0.0008s] (Unsupported opset_version: 8 < 11) [ 10%] 2023-07-07T20:05:40.0283951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0007s] (Unsupported opset_version: 8 < 14) [ 10%] 2023-07-07T20:05:40.0284502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_unique SKIPPED [0.0010s] (Unsupported opset_version: 8 < 11) [ 10%] 2023-07-07T20:05:40.0284884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk PASSED [0.0052s] [ 10%] 2023-07-07T20:05:40.0285243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var PASSED [0.0997s] [ 10%] 2023-07-07T20:05:40.0285676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var_along_dims PASSED [0.0225s] [ 10%] 2023-07-07T20:05:40.0286061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0140s] [ 10%] 2023-07-07T20:05:40.0286434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0176s] [ 10%] 2023-07-07T20:05:40.0286840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_view PASSED [0.0066s] [ 10%] 2023-07-07T20:05:40.0287207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_view_as PASSED [0.0060s] [ 10%] 2023-07-07T20:05:40.0287567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic PASSED [0.0230s] [ 10%] 2023-07-07T20:05:40.0287948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim PASSED [0.0187s] [ 10%] 2023-07-07T20:05:40.0288279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script SKIPPED [0.0013s] (Unsupported opset_version: 8 < 11) [ 10%] 2023-07-07T20:05:40.0288601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM PASSED [0.1103s] [ 10%] 2023-07-07T20:05:40.0288904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_8_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input SKIPPED [0.0013s] (Unsupported opset_version: 8 < 9) [ 10%] 2023-07-07T20:05:40.0289161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0472s] [ 10%] 2023-07-07T20:05:40.0289404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_MSELoss PASSED [0.0501s] [ 10%] 2023-07-07T20:05:40.0289653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test__dim_arange PASSED [0.0338s] [ 10%] 2023-07-07T20:05:40.0289902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_add_inplace PASSED [0.0140s] [ 10%] 2023-07-07T20:05:40.0290144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0192s] [ 10%] 2023-07-07T20:05:40.0290447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0290748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0291028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0162s] [ 10%] 2023-07-07T20:05:40.0291271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_and_or_xor PASSED [0.0160s] [ 10%] 2023-07-07T20:05:40.0291495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_any PASSED [0.0415s] [ 10%] 2023-07-07T20:05:40.0291772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic PASSED [0.0782s] [ 10%] 2023-07-07T20:05:40.0292013Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0410s] [ 10%] 2023-07-07T20:05:40.0292305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_end_notype SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0292619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_out SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0292873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step PASSED [0.0391s] [ 10%] 2023-07-07T20:05:40.0293164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_start_out SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0293415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats PASSED [0.1175s] [ 10%] 2023-07-07T20:05:40.0293673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out PASSED [0.0494s] [ 10%] 2023-07-07T20:05:40.0293952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax PASSED [0.0206s] [ 10%] 2023-07-07T20:05:40.0294260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 10%] 2023-07-07T20:05:40.0294518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool PASSED [0.0676s] [ 10%] 2023-07-07T20:05:40.0294774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0569s] [ 10%] 2023-07-07T20:05:40.0295387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0296007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0296545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.0296727Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0297271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0297412Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0297496Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0297507Z 2023-07-07T20:05:40.0297641Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0297774Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0298045Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0298600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0298756Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0298923Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0299073Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0299079Z 2023-07-07T20:05:40.0299165Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0299310Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0299451Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0299601Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0299607Z 2023-07-07T20:05:40.0299754Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0299896Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0300030Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0300180Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0300185Z 2023-07-07T20:05:40.0300192Z 2023-07-07T20:05:40.0300333Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0300503Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0300649Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0300798Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0300804Z 2023-07-07T20:05:40.0300946Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0301088Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0301219Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0301364Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0301369Z 2023-07-07T20:05:40.0301454Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0301602Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0301742Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0302000Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0302545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0302681Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0302767Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0302773Z 2023-07-07T20:05:40.0302892Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0303022Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0303267Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0303855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0304004Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0304149Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0304297Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0304303Z 2023-07-07T20:05:40.0304418Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0304563Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0304693Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0304846Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0304853Z 2023-07-07T20:05:40.0304998Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0305139Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0305310Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0305462Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0305468Z 2023-07-07T20:05:40.0305473Z 2023-07-07T20:05:40.0305614Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0305755Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0305886Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0306035Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0306040Z 2023-07-07T20:05:40.0306181Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0306321Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0306467Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0306611Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0306617Z 2023-07-07T20:05:40.0306705Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0306875Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0307016Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0307261Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0307865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0308474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0309010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.0309157Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0309700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0309834Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0309951Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0309956Z 2023-07-07T20:05:40.0310088Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0310223Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0310471Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0310703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0103s] [ 10%] 2023-07-07T20:05:40.0311038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0219s] [ 10%] 2023-07-07T20:05:40.0311339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0241s] [ 10%] 2023-07-07T20:05:40.0311639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0140s] [ 10%] 2023-07-07T20:05:40.0311969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0150s] [ 10%] 2023-07-07T20:05:40.0312226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0143s] [ 10%] 2023-07-07T20:05:40.0312478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0129s] [ 10%] 2023-07-07T20:05:40.0312732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine PASSED [0.0240s] [ 10%] 2023-07-07T20:05:40.0312983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0183s] [ 10%] 2023-07-07T20:05:40.0313278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0375s] [ 10%] 2023-07-07T20:05:40.0313534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1258s] [ 10%] 2023-07-07T20:05:40.0313801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer PASSED [0.1624s] [ 10%] 2023-07-07T20:05:40.0314053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training PASSED [0.1482s] [ 10%] 2023-07-07T20:05:40.0314299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_bernoulli PASSED [0.0236s] [ 10%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cdist PASSED [0.0163s] [ 10%] 2023-07-07T20:05:40.0316074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 10%] 2023-07-07T20:05:40.0316355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_celu_default SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 10%] 2023-07-07T20:05:40.0316661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_chunk SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0316904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_clamp PASSED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cosine_similarity PASSED [0.0183s] [ 10%] 2023-07-07T20:05:40.0319840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cste_script PASSED [0.0235s] [ 10%] 2023-07-07T20:05:40.0320117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_cumsum SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0320400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dequantize SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 10%] 2023-07-07T20:05:40.0320685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_derive_index SKIPPED [0.0008s] (Skip 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[ 10%] 2023-07-07T20:05:40.0322176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0322413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_div PASSED [0.0207s] [ 10%] 2023-07-07T20:05:40.0322696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0361s] [ 10%] 2023-07-07T20:05:40.0322933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dot PASSED [0.0182s] [ 10%] 2023-07-07T20:05:40.0323230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero SKIPPED [0.0010s] (Unsupported opset_version: 9 < 12) [ 10%] 2023-07-07T20:05:40.0323489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out PASSED [0.0354s] [ 10%] 2023-07-07T20:05:40.0323776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0324109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_einsum SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 10%] 2023-07-07T20:05:40.0324536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0324872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0325292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input SKIPPED [0.0001s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 10%] 2023-07-07T20:05:40.0325553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_module PASSED [0.0427s] [ 10%] 2023-07-07T20:05:40.0325845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_embedding_renorm SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0326104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_empty_constant_shape PASSED [0.0426s] [ 10%] 2023-07-07T20:05:40.0326403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation SKIPPED [0.0010s] (Unsupported opset_version: 9 < 13) [ 10%] 2023-07-07T20:05:40.0326744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 10%] 2023-07-07T20:05:40.0326987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_flatten PASSED [0.0257s] [ 10%] 2023-07-07T20:05:40.0327228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_flatten2d PASSED [0.0090s] [ 10%] 2023-07-07T20:05:40.0327571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_floordiv SKIPPED [0.0002s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 10%] 2023-07-07T20:05:40.0327853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fmod SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 10%] 2023-07-07T20:05:40.0328179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 10%] 2023-07-07T20:05:40.0328437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim PASSED [0.0194s] [ 10%] 2023-07-07T20:05:40.0328682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_full_like PASSED [0.0100s] [ 10%] 2023-07-07T20:05:40.0328924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_full_trace PASSED [0.0108s] [ 10%] 2023-07-07T20:05:40.0329173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d PASSED [0.0251s] [ 10%] 2023-07-07T20:05:40.0329454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d PASSED [0.0365s] [ 10%] 2023-07-07T20:05:40.0329756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gather_constant_fold SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 10%] 2023-07-07T20:05:40.0329995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_ge PASSED [0.0333s] [ 10%] 2023-07-07T20:05:40.0330220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gelu PASSED [0.0121s] [ 10%] 2023-07-07T20:05:40.0330497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_getitem SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0330739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_glu PASSED [0.0122s] [ 10%] 2023-07-07T20:05:40.0331068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 10%] 2023-07-07T20:05:40.0331397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 10%] 2023-07-07T20:05:40.0331714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 10%] 2023-07-07T20:05:40.0332073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 10%] 2023-07-07T20:05:40.0332402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 10%] 2023-07-07T20:05:40.0332671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.1056s] [ 10%] 2023-07-07T20:05:40.0332928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine PASSED [0.1399s] [ 10%] 2023-07-07T20:05:40.0333174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias PASSED [0.1339s] [ 10%] 2023-07-07T20:05:40.0333452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0079s] [ 10%] 2023-07-07T20:05:40.0333755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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2023-07-07T20:05:40.0337853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal PASSED [0.0332s] [ 10%] 2023-07-07T20:05:40.0338120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_copy PASSED [0.0156s] [ 10%] 2023-07-07T20:05:40.0338365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_mask PASSED [0.0227s] [ 10%] 2023-07-07T20:05:40.0338649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0338962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_put SKIPPED [0.0008s] (Unsupported 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index PASSED [0.0111s] [ 10%] 2023-07-07T20:05:40.0340676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic PASSED [0.0096s] [ 10%] 2023-07-07T20:05:40.0340974Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:05:40.0341222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_list PASSED [0.0204s] [ 10%] 2023-07-07T20:05:40.0341476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop PASSED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats PASSED [0.0573s] [ 10%] 2023-07-07T20:05:40.0343081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats PASSED [0.0788s] [ 10%] 2023-07-07T20:05:40.0343378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.2635s] [ 11%] 2023-07-07T20:05:40.0343636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.2207s] [ 11%] 2023-07-07T20:05:40.0343937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample SKIPPED [0.0010s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0344261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_interpolate_no_shape SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0344542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_isfinite SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0344818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_isinf SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0345064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_l2_norm PASSED [0.0221s] [ 11%] 2023-07-07T20:05:40.0345323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0158s] [ 11%] 2023-07-07T20:05:40.0345563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_le PASSED [0.0328s] [ 11%] 2023-07-07T20:05:40.0345835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_len SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0346081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_len_list PASSED [0.0084s] [ 11%] 2023-07-07T20:05:40.0346319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lerp PASSED [0.1279s] [ 11%] 2023-07-07T20:05:40.0346568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0249s] [ 11%] 2023-07-07T20:05:40.0346818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.2481s] [ 11%] 2023-07-07T20:05:40.0347069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm PASSED [0.1683s] [ 11%] 2023-07-07T20:05:40.0347312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_linspace PASSED [0.0174s] [ 11%] 2023-07-07T20:05:40.0347587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0347905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_append SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0348197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_2 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 14) [ 11%] 2023-07-07T20:05:40.0348477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_del SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0348786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_del_in_block SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 11%] 2023-07-07T20:05:40.0349076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 11%] 2023-07-07T20:05:40.0349360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 11%] 2023-07-07T20:05:40.0349665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_pop SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0349949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_pop_nested SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 11%] 2023-07-07T20:05:40.0350227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_set SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0350507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_unpack SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0350795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted PASSED [0.0240s] [ 11%] 2023-07-07T20:05:40.0351062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted PASSED [0.0250s] [ 11%] 2023-07-07T20:05:40.0351302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_log PASSED [0.0088s] [ 11%] 2023-07-07T20:05:40.0351543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_log10 PASSED [0.0099s] [ 11%] 2023-07-07T20:05:40.0351786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_log2 PASSED [0.0097s] [ 11%] 2023-07-07T20:05:40.0352069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logdet SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0352318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logical_xor PASSED [0.0322s] [ 11%] 2023-07-07T20:05:40.0352555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0295s] [ 11%] 2023-07-07T20:05:40.0352810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype PASSED [0.0170s] [ 11%] 2023-07-07T20:05:40.0353085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0523s] [ 11%] 2023-07-07T20:05:40.0353368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0353621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple PASSED [0.0628s] [ 11%] 2023-07-07T20:05:40.0353894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell PASSED [0.0552s] [ 11%] 2023-07-07T20:05:40.0354155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.2063s] [ 11%] 2023-07-07T20:05:40.0354411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size PASSED [0.0869s] [ 11%] 2023-07-07T20:05:40.0354754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden PASSED [0.1083s] [ 11%] 2023-07-07T20:05:40.0355051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state PASSED [0.0816s] [ 11%] 2023-07-07T20:05:40.0355302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0904s] [ 11%] 2023-07-07T20:05:40.0355550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_matmul_batch PASSED [0.0249s] [ 11%] 2023-07-07T20:05:40.0355779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_max_int PASSED [0.0571s] [ 11%] 2023-07-07T20:05:40.0356028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_max_tensors PASSED [0.0145s] [ 11%] 2023-07-07T20:05:40.0356307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0158s] [ 11%] 2023-07-07T20:05:40.0356553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d PASSED [0.0150s] [ 11%] 2023-07-07T20:05:40.0356801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_3d_ceil PASSED [0.5395s] [ 11%] 2023-07-07T20:05:40.0357052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive PASSED [0.0187s] [ 11%] 2023-07-07T20:05:40.0357348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_maxpool_dilation SKIPPED [0.0015s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0357603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar PASSED [0.0306s] [ 11%] 2023-07-07T20:05:40.0357845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_min_int PASSED [0.0566s] [ 11%] 2023-07-07T20:05:40.0358153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0015s] (Skip verify test for TorchScript.) [ 11%] 2023-07-07T20:05:40.0358460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 11%] 2023-07-07T20:05:40.0358791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0012s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0359035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_moveaxis PASSED [0.0246s] [ 11%] 2023-07-07T20:05:40.0359275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_narrow PASSED [0.0263s] [ 11%] 2023-07-07T20:05:40.0359575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_narrow_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0359833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0702s] [ 11%] 2023-07-07T20:05:40.0360078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_new_empty PASSED [0.0293s] [ 11%] 2023-07-07T20:05:40.0360347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_new_full PASSED [0.0251s] [ 11%] 2023-07-07T20:05:40.0360625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 11%] 2023-07-07T20:05:40.0360928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 11%] 2023-07-07T20:05:40.0361210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 11%] 2023-07-07T20:05:40.0361552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 11%] 2023-07-07T20:05:40.0361806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_norm_with_dtype PASSED [0.0121s] [ 11%] 2023-07-07T20:05:40.0362047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_numel PASSED [0.0108s] [ 11%] 2023-07-07T20:05:40.0362290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_numel_empty PASSED [0.0105s] [ 11%] 2023-07-07T20:05:40.0362530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0086s] [ 11%] 2023-07-07T20:05:40.0362775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_one_hot PASSED [0.0206s] [ 11%] 2023-07-07T20:05:40.0363006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0113s] [ 11%] 2023-07-07T20:05:40.0363313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 16) [ 11%] 2023-07-07T20:05:40.0363617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 11%] 2023-07-07T20:05:40.0363953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 11%] 2023-07-07T20:05:40.0364243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pad_circular SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0364703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 11%] 2023-07-07T20:05:40.0365001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pad_int PASSED [0.0110s] [ 11%] 2023-07-07T20:05:40.0365257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0110s] [ 11%] 2023-07-07T20:05:40.0365509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle PASSED [0.0295s] [ 11%] 2023-07-07T20:05:40.0365831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_prelu PASSED [0.0110s] [ 11%] 2023-07-07T20:05:40.0366110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_prim_min SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 11%] 2023-07-07T20:05:40.0366391Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 11%] 2023-07-07T20:05:40.0367958Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantize_per_tensor SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0368267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0368583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point SKIPPED [0.0010s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0368912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0369200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0369497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0369827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0370116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0370435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0370725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0371016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 11%] 2023-07-07T20:05:40.0371350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided SKIPPED [0.0011s] (Skip verify test for TorchScript.) 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[ 12%] 2023-07-07T20:05:40.0415636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0416236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0416869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0417469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0418051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0418640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0419189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_roi_align SKIPPED [0.0008s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 12%] 2023-07-07T20:05:40.0419605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_round SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0419982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0161s] [ 12%] 2023-07-07T20:05:40.0420388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add PASSED [0.0244s] [ 12%] 2023-07-07T20:05:40.0420904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0010s] (Unsupported opset_version: 9 < 16) [ 12%] 2023-07-07T20:05:40.0421438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 12%] 2023-07-07T20:05:40.0421894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 12%] 2023-07-07T20:05:40.0422335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 12%] 2023-07-07T20:05:40.0422827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 12%] 2023-07-07T20:05:40.0423205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar PASSED [0.0168s] [ 12%] 2023-07-07T20:05:40.0423622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0122s] [ 12%] 2023-07-07T20:05:40.0423988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_select PASSED [0.0108s] [ 12%] 2023-07-07T20:05:40.0424430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0009s] (Unsupported opset_version: 9 < 13) [ 12%] 2023-07-07T20:05:40.0424895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 12%] 2023-07-07T20:05:40.0425256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_ PASSED [0.0175s] [ 12%] 2023-07-07T20:05:40.0425685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0426105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0426527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0426975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 12%] 2023-07-07T20:05:40.0427360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0488s] [ 12%] 2023-07-07T20:05:40.0427724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_size PASSED [0.0381s] [ 12%] 2023-07-07T20:05:40.0428177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script SKIPPED [0.0012s] (Unsupported opset_version: 9 < 10) [ 12%] 2023-07-07T20:05:40.0428658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 12%] 2023-07-07T20:05:40.0429013Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0108s] [ 12%] 2023-07-07T20:05:40.0429433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0133s] [ 12%] 2023-07-07T20:05:40.0429819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0124s] [ 12%] 2023-07-07T20:05:40.0430195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0095s] [ 12%] 2023-07-07T20:05:40.0430679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_with_1d_input_index SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0431127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0431496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softmax PASSED [0.1313s] [ 12%] 2023-07-07T20:05:40.0431888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0536s] [ 12%] 2023-07-07T20:05:40.0432258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softplus PASSED [0.0298s] [ 12%] 2023-07-07T20:05:40.0432668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0320s] [ 12%] 2023-07-07T20:05:40.0433050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype PASSED [0.0111s] [ 12%] 2023-07-07T20:05:40.0433487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0433932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_spectral_norm SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0434348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0434875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0435314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0435743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_script SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0436131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0008s] [ 12%] 2023-07-07T20:05:40.0436604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0437051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 12%] 2023-07-07T20:05:40.0437479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0107s] [ 12%] 2023-07-07T20:05:40.0437913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0438358Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0438830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic SKIPPED [0.0012s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0439207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0321s] [ 12%] 2023-07-07T20:05:40.0439576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0233s] [ 12%] 2023-07-07T20:05:40.0439961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0262s] [ 12%] 2023-07-07T20:05:40.0440339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0152s] [ 12%] 2023-07-07T20:05:40.0440795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 9 < 17) [ 12%] 2023-07-07T20:05:40.0441235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 12%] 2023-07-07T20:05:40.0441670Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 12%] 2023-07-07T20:05:40.0442112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 12%] 2023-07-07T20:05:40.0442556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 12%] 2023-07-07T20:05:40.0443012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 12%] 2023-07-07T20:05:40.0443456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 12%] 2023-07-07T20:05:40.0443832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0300s] [ 12%] 2023-07-07T20:05:40.0444258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0504s] [ 12%] 2023-07-07T20:05:40.0444835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0445297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0445764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes PASSED [0.0146s] [ 12%] 2023-07-07T20:05:40.0446177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0128s] [ 12%] 2023-07-07T20:05:40.0446591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 PASSED [0.1637s] [ 12%] 2023-07-07T20:05:40.0447034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0751s] [ 12%] 2023-07-07T20:05:40.0447439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0120s] [ 12%] 2023-07-07T20:05:40.0447911Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0448275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor PASSED [0.0824s] [ 12%] 2023-07-07T20:05:40.0448741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0227s] [ 12%] 2023-07-07T20:05:40.0449149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0259s] [ 12%] 2023-07-07T20:05:40.0449602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes SKIPPED [0.0015s] (Unsupported opset_version: 9 < 13) [ 12%] 2023-07-07T20:05:40.0450037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 12%] 2023-07-07T20:05:40.0450398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_topk PASSED [0.0103s] [ 12%] 2023-07-07T20:05:40.0450846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_topk_script SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 12%] 2023-07-07T20:05:40.0451169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0451414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0108s] [ 12%] 2023-07-07T20:05:40.0451673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0313s] [ 12%] 2023-07-07T20:05:40.0452014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0452294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception PASSED [0.0158s] [ 12%] 2023-07-07T20:05:40.0452812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_tuple_with_none_outputs SKIPPED [0.0008s] (Skip verify test for TorchScript. In trace: Outputs that are always None are removed. In script: Outputs that are always None are removed before opset 15. After opset 15, we replace the None in output with Optional node.) [ 12%] 2023-07-07T20:05:40.0453059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unbind PASSED [0.0296s] [ 12%] 2023-07-07T20:05:40.0453348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0453632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0272s] [ 12%] 2023-07-07T20:05:40.0453933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0454228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0008s] (Unsupported opset_version: 9 < 14) [ 12%] 2023-07-07T20:05:40.0454541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape SKIPPED [0.0007s] (Unsupported opset_version: 9 < 14) [ 12%] 2023-07-07T20:05:40.0454871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0455165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 12%] 2023-07-07T20:05:40.0455406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0252s] [ 12%] 2023-07-07T20:05:40.0455661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims PASSED [0.0265s] [ 12%] 2023-07-07T20:05:40.0455924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction PASSED [0.0155s] [ 12%] 2023-07-07T20:05:40.0456180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0275s] [ 12%] 2023-07-07T20:05:40.0456431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0390s] [ 12%] 2023-07-07T20:05:40.0456683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic PASSED [0.0184s] [ 12%] 2023-07-07T20:05:40.0456924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim PASSED [0.0125s] [ 12%] 2023-07-07T20:05:40.0457255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 12%] 2023-07-07T20:05:40.0458113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0458374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor PASSED [0.0484s] [ 12%] 2023-07-07T20:05:40.0458633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.1298s] [ 12%] 2023-07-07T20:05:40.0458927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.1121s] [ 12%] 2023-07-07T20:05:40.0459175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0111s] [ 12%] 2023-07-07T20:05:40.0459415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_all PASSED [0.0338s] [ 12%] 2023-07-07T20:05:40.0459722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_none SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0459975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_amax_amin PASSED [0.0143s] [ 12%] 2023-07-07T20:05:40.0460238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_any PASSED [0.0338s] [ 12%] 2023-07-07T20:05:40.0460480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0598s] [ 12%] 2023-07-07T20:05:40.0460764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_out SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0461015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0326s] [ 12%] 2023-07-07T20:05:40.0461318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_notype SKIPPED [0.0012s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0461576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step PASSED [0.0386s] [ 12%] 2023-07-07T20:05:40.0461882Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0462176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0462435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats PASSED [0.1612s] [ 12%] 2023-07-07T20:05:40.0462798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 12%] 2023-07-07T20:05:40.0463079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_argsort SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0463349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0540s] [ 12%] 2023-07-07T20:05:40.0463613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0479s] [ 12%] 2023-07-07T20:05:40.0463874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0661s] [ 12%] 2023-07-07T20:05:40.0464497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0465074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0465671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0466312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0466864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0467020Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0467168Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0467321Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0467333Z 2023-07-07T20:05:40.0467427Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0467574Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0467719Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0467873Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0467879Z 2023-07-07T20:05:40.0468026Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0468158Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0468304Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0468451Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0468457Z 2023-07-07T20:05:40.0468464Z 2023-07-07T20:05:40.0468607Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0468749Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0468891Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0469070Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0469076Z 2023-07-07T20:05:40.0469219Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0469353Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0469501Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0469647Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0469653Z 2023-07-07T20:05:40.0469738Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0469880Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0470047Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0470305Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0470906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0471556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0472096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.0472241Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0472769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0472935Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0473020Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0473026Z 2023-07-07T20:05:40.0473157Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0473289Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0473532Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0474125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0474750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.0474900Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 12%] 2023-07-07T20:05:40.0475147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool PASSED [0.0187s] [ 12%] 2023-07-07T20:05:40.0475452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0161s] [ 12%] 2023-07-07T20:05:40.0475749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0140s] [ 12%] 2023-07-07T20:05:40.0476071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0157s] [ 12%] 2023-07-07T20:05:40.0476370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0144s] [ 12%] 2023-07-07T20:05:40.0476703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0169s] [ 12%] 2023-07-07T20:05:40.0476957Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil PASSED [0.6361s] [ 12%] 2023-07-07T20:05:40.0477205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d PASSED [0.0244s] [ 12%] 2023-07-07T20:05:40.0477475Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0551s] [ 12%] 2023-07-07T20:05:40.0477749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d PASSED [0.0189s] [ 12%] 2023-07-07T20:05:40.0478020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats PASSED [0.0328s] [ 12%] 2023-07-07T20:05:40.0478262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d PASSED [0.1451s] [ 12%] 2023-07-07T20:05:40.0478534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer PASSED [0.2137s] [ 12%] 2023-07-07T20:05:40.0478803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p PASSED [0.0481s] [ 12%] 2023-07-07T20:05:40.0479112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 12%] 2023-07-07T20:05:40.0479356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cast_to PASSED [0.0089s] [ 12%] 2023-07-07T20:05:40.0479652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 13) [ 12%] 2023-07-07T20:05:40.0479925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_celu_alpha SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 12%] 2023-07-07T20:05:40.0480207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_celu_cast SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 12%] 2023-07-07T20:05:40.0480490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_celu_default SKIPPED [0.0011s] (Unsupported opset_version: 9 < 12) [ 12%] 2023-07-07T20:05:40.0480735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_clamp_dyn PASSED [0.0678s] [ 12%] 2023-07-07T20:05:40.0480976Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_clip_int PASSED [0.0103s] [ 12%] 2023-07-07T20:05:40.0481290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_concat_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0481542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_constant_pad PASSED [0.0213s] [ 12%] 2023-07-07T20:05:40.0481785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_conv_bn PASSED [0.0676s] [ 12%] 2023-07-07T20:05:40.0482052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_conv_tbc PASSED [0.0136s] [ 12%] 2023-07-07T20:05:40.0482306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_conv_transpose PASSED [0.3127s] [ 12%] 2023-07-07T20:05:40.0482584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cumsum SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0482898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_cumsum_with_cast SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 12%] 2023-07-07T20:05:40.0483136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_data PASSED [0.0145s] [ 13%] 2023-07-07T20:05:40.0483407Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dequantize SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0483685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dict SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 13%] 2023-07-07T20:05:40.0484979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_script PASSED [0.0394s] [ 13%] 2023-07-07T20:05:40.0485234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_div_promotion_trace PASSED [0.0214s] [ 13%] 2023-07-07T20:05:40.0485475Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dot PASSED [0.0167s] [ 13%] 2023-07-07T20:05:40.0485769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dropout_training SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 13%] 2023-07-07T20:05:40.0486008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dtype PASSED [0.0117s] [ 13%] 2023-07-07T20:05:40.0486252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq PASSED [0.0092s] [ 13%] 2023-07-07T20:05:40.0486508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_out PASSED [0.0154s] [ 13%] 2023-07-07T20:05:40.0486819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_arange_start_out PASSED [0.0349s] [ 13%] 2023-07-07T20:05:40.0487110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0487419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_expand_as SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0487720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0487997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_einsum SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 13%] 2023-07-07T20:05:40.0488328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 13%] 2023-07-07T20:05:40.0488641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0489057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input SKIPPED [0.0001s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 13%] 2023-07-07T20:05:40.0489349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_embedding_renorm SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0489640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_empty_branch PASSED [0.0123s] [ 13%] 2023-07-07T20:05:40.0489913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_eq SKIPPED [0.0014s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0490215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_activation SKIPPED [0.0013s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0490540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [0.0012s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0490782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fill PASSED [0.0452s] [ 13%] 2023-07-07T20:05:40.0491030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_flatten2d PASSED [0.0140s] [ 13%] 2023-07-07T20:05:40.0491289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_flatten_dynamic_axes PASSED [0.0127s] [ 13%] 2023-07-07T20:05:40.0491540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_floating_point PASSED [0.0339s] [ 13%] 2023-07-07T20:05:40.0491804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fmod SKIPPED [0.0015s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0492093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim PASSED [0.0188s] [ 13%] 2023-07-07T20:05:40.0492346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_full_like_value PASSED [0.0146s] [ 13%] 2023-07-07T20:05:40.0492591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_full_script PASSED [0.0092s] [ 13%] 2023-07-07T20:05:40.0492871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_full_trace PASSED [0.0110s] [ 13%] 2023-07-07T20:05:40.0493115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_addmm PASSED [0.0098s] [ 13%] 2023-07-07T20:05:40.0493366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d PASSED [0.0262s] [ 13%] 2023-07-07T20:05:40.0493637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d PASSED [0.0361s] [ 13%] 2023-07-07T20:05:40.0493888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_in_block PASSED [0.0319s] [ 13%] 2023-07-07T20:05:40.0494129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gelu PASSED [0.0146s] [ 13%] 2023-07-07T20:05:40.0494411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_getitem SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0494746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0495115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0495455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0495765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0496093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0496419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0496671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias PASSED [0.1362s] [ 13%] 2023-07-07T20:05:40.0496907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gt PASSED [0.0323s] [ 13%] 2023-07-07T20:05:40.0497157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_gt_primitive PASSED [0.0068s] [ 13%] 2023-07-07T20:05:40.0497446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic PASSED [0.0167s] [ 13%] 2023-07-07T20:05:40.0497696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardshrink PASSED [0.0387s] [ 13%] 2023-07-07T20:05:40.0497950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype PASSED [0.0130s] [ 13%] 2023-07-07T20:05:40.0498221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardsigmoid PASSED [0.0191s] [ 13%] 2023-07-07T20:05:40.0498474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardswish_script PASSED [0.0118s] [ 13%] 2023-07-07T20:05:40.0498718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_hardtanh PASSED [0.0108s] [ 13%] 2023-07-07T20:05:40.0498990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_if_fold PASSED [0.2363s] [ 13%] 2023-07-07T20:05:40.0499263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_if_transpose SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0499540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_if_view SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0499792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_2d_sliceint PASSED [0.0130s] [ 13%] 2023-07-07T20:05:40.0500054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_add_dim_size_differ PASSED [0.0117s] [ 13%] 2023-07-07T20:05:40.0500328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop PASSED [0.0236s] [ 13%] 2023-07-07T20:05:40.0500579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_fill PASSED [0.0169s] [ 13%] 2023-07-07T20:05:40.0500823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_mask PASSED [0.0222s] [ 13%] 2023-07-07T20:05:40.0501105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0501402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_accumulate SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0501688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0501985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_inplace_ops SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0502268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_loop SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0502578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0502872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_index_select_scaler_index PASSED [0.0121s] [ 13%] 2023-07-07T20:05:40.0503139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half PASSED [0.0193s] [ 13%] 2023-07-07T20:05:40.0503399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_inplace_list PASSED [0.0208s] [ 13%] 2023-07-07T20:05:40.0503643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero PASSED [0.0203s] [ 13%] 2023-07-07T20:05:40.0503919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats PASSED [0.0444s] [ 13%] 2023-07-07T20:05:40.0504213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats PASSED [0.0585s] [ 13%] 2023-07-07T20:05:40.0504478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats PASSED [0.3448s] [ 13%] 2023-07-07T20:05:40.0504739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training PASSED [0.2250s] [ 13%] 2023-07-07T20:05:40.0505037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0505313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_function_substitution PASSED [0.0250s] [ 13%] 2023-07-07T20:05:40.0505664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel SKIPPED [0.0012s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0505957Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_no_shape SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0506222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample PASSED [0.1631s] [ 13%] 2023-07-07T20:05:40.0506530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 9 > 8) [ 13%] 2023-07-07T20:05:40.0506815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_isfinite SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0507089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_isinf SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0507317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_item PASSED [0.0115s] [ 13%] 2023-07-07T20:05:40.0507563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss PASSED [0.2247s] [ 13%] 2023-07-07T20:05:40.0507804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_l2_norm PASSED [0.0180s] [ 13%] 2023-07-07T20:05:40.0508099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_layer_norm PASSED [0.0163s] [ 13%] 2023-07-07T20:05:40.0508341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_le PASSED [0.0324s] [ 13%] 2023-07-07T20:05:40.0508583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0179s] [ 13%] 2023-07-07T20:05:40.0508854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_len_list PASSED [0.0086s] [ 13%] 2023-07-07T20:05:40.0509109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linalg_matrix_norm PASSED [0.1190s] [ 13%] 2023-07-07T20:05:40.0509355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linalg_norm PASSED [0.2178s] [ 13%] 2023-07-07T20:05:40.0509639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm PASSED [0.1711s] [ 13%] 2023-07-07T20:05:40.0509900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start PASSED [0.0174s] [ 13%] 2023-07-07T20:05:40.0510176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0510453Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0510748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0511076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_nested_block SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0511370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_2 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 14) [ 13%] 2023-07-07T20:05:40.0511674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0511960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_del_nested SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0512245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_idx_sum SKIPPED [0.0010s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0512523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_pop SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0512814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_pop_in_block SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0513101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_pop_nested SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0513411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_set SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0513694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_unpack SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0514041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0095s] [ 13%] 2023-07-07T20:05:40.0514306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted PASSED [0.0269s] [ 13%] 2023-07-07T20:05:40.0514546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_log PASSED [0.0090s] [ 13%] 2023-07-07T20:05:40.0514885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_log10 PASSED [0.0093s] [ 13%] 2023-07-07T20:05:40.0515165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logdet SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0515415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logical_not PASSED [0.0298s] [ 13%] 2023-07-07T20:05:40.0515659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logical_or PASSED [0.0313s] [ 13%] 2023-07-07T20:05:40.0515904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logical_xor PASSED [0.0310s] [ 13%] 2023-07-07T20:05:40.0516177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logit PASSED [0.0480s] [ 13%] 2023-07-07T20:05:40.0516428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax PASSED [0.0408s] [ 13%] 2023-07-07T20:05:40.0516678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dim PASSED [0.0694s] [ 13%] 2023-07-07T20:05:40.0516923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0782s] [ 13%] 2023-07-07T20:05:40.0517207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0517451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple PASSED [0.0791s] [ 13%] 2023-07-07T20:05:40.0517703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0149s] [ 13%] 2023-07-07T20:05:40.0517938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lstm PASSED [0.0752s] [ 13%] 2023-07-07T20:05:40.0518172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden PASSED [0.0935s] [ 13%] 2023-07-07T20:05:40.0518424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden PASSED [0.0711s] [ 13%] 2023-07-07T20:05:40.0518698Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0296s] [ 13%] 2023-07-07T20:05:40.0518988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0519276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_masked_select SKIPPED [0.0012s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0519604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_max_int PASSED 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2023-07-07T20:05:40.0521122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0199s] [ 13%] 2023-07-07T20:05:40.0521413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation SKIPPED [0.0014s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0521685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0148s] [ 13%] 2023-07-07T20:05:40.0521928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0265s] [ 13%] 2023-07-07T20:05:40.0522169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_min_int PASSED 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[ 13%] 2023-07-07T20:05:40.0523690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0012s] (Unsupported opset_version: 9 < 15) [ 13%] 2023-07-07T20:05:40.0523933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_movedim PASSED [0.0231s] [ 13%] 2023-07-07T20:05:40.0524211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_multinomial PASSED [0.0267s] [ 13%] 2023-07-07T20:05:40.0524588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_narrow PASSED [0.0132s] [ 13%] 2023-07-07T20:05:40.0524848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0522s] [ 13%] 2023-07-07T20:05:40.0525154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output PASSED [0.0111s] [ 13%] 2023-07-07T20:05:40.0525387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_new_full PASSED [0.0244s] [ 13%] 2023-07-07T20:05:40.0525629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_new_ones PASSED [0.0224s] [ 13%] 2023-07-07T20:05:40.0525943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nllloss SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 13%] 2023-07-07T20:05:40.0526216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nms SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0526503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_nonzero SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0528279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0528595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 13%] 2023-07-07T20:05:40.0528897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0529221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 13%] 2023-07-07T20:05:40.0529506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0261s] [ 13%] 2023-07-07T20:05:40.0529734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_prelu PASSED [0.0105s] [ 13%] 2023-07-07T20:05:40.0529984Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0077s] [ 13%] 2023-07-07T20:05:40.0530268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0102s] [ 13%] 2023-07-07T20:05:40.0530530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer PASSED [0.0091s] [ 13%] 2023-07-07T20:05:40.0530808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0128s] [ 13%] 2023-07-07T20:05:40.0531092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0114s] [ 13%] 2023-07-07T20:05:40.0531406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d SKIPPED [0.0009s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0531694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0531991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 13%] 2023-07-07T20:05:40.0532280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_qat_maxpool2d SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0532615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0532931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0533238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_scale SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0533563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0533858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0534141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0534450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0534746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0535072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_linear SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 13%] 2023-07-07T20:05:40.0535380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 14%] 2023-07-07T20:05:40.0535714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 14%] 2023-07-07T20:05:40.0536023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 14%] 2023-07-07T20:05:40.0536335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 14%] 2023-07-07T20:05:40.0536686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish SKIPPED [0.0011s] (Skip verify test for TorchScript.) 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Conditioning on input type via prim::isinstance unsupported in ONNX) [ 14%] 2023-07-07T20:05:40.0600521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval PASSED [0.0081s] [ 14%] 2023-07-07T20:05:40.0600893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_rsqrt PASSED [0.0098s] [ 14%] 2023-07-07T20:05:40.0601399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 14%] 2023-07-07T20:05:40.0601910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 14%] 2023-07-07T20:05:40.0602415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 14%] 2023-07-07T20:05:40.0602862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 14%] 2023-07-07T20:05:40.0603339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 14%] 2023-07-07T20:05:40.0603758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types PASSED [0.0118s] [ 14%] 2023-07-07T20:05:40.0604133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_select PASSED [0.0103s] [ 14%] 2023-07-07T20:05:40.0604684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 14%] 2023-07-07T20:05:40.0605134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_float SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 14%] 2023-07-07T20:05:40.0605575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 14%] 2023-07-07T20:05:40.0605936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_ PASSED [0.0171s] [ 14%] 2023-07-07T20:05:40.0606307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr PASSED [0.0165s] [ 14%] 2023-07-07T20:05:40.0606730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0607206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_4 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0607623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0608110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 14%] 2023-07-07T20:05:40.0608494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0491s] [ 14%] 2023-07-07T20:05:40.0608877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0691s] [ 14%] 2023-07-07T20:05:40.0609259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_shape_constant_fold PASSED [0.0100s] [ 14%] 2023-07-07T20:05:40.0609754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 14%] 2023-07-07T20:05:40.0610139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large PASSED [0.0132s] [ 14%] 2023-07-07T20:05:40.0610590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0611053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0611386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_softplus PASSED [0.0306s] [ 14%] 2023-07-07T20:05:40.0611640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_softshrink PASSED [0.0309s] [ 14%] 2023-07-07T20:05:40.0611897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0109s] [ 14%] 2023-07-07T20:05:40.0612178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 14%] 2023-07-07T20:05:40.0612467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0612761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0613047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_script SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0613341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0613677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar SKIPPED [0.0007s] (Skip verify test for TorchScript. dynamic split support added in 11) [ 14%] 2023-07-07T20:05:40.0613943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_square PASSED [0.0090s] [ 14%] 2023-07-07T20:05:40.0614193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0077s] [ 14%] 2023-07-07T20:05:40.0614511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 14%] 2023-07-07T20:05:40.0614803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_runtime_dim SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 14%] 2023-07-07T20:05:40.0615064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op PASSED [0.0077s] [ 14%] 2023-07-07T20:05:40.0615334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stack PASSED [0.0113s] [ 14%] 2023-07-07T20:05:40.0615571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std PASSED [0.0234s] [ 14%] 2023-07-07T20:05:40.0615822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std_correction PASSED [0.0158s] [ 14%] 2023-07-07T20:05:40.0616074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std_mean_correction PASSED [0.0159s] [ 14%] 2023-07-07T20:05:40.0616328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0277s] [ 14%] 2023-07-07T20:05:40.0616643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0616931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0617234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0617518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0617799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_one_dimension SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0618096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0618397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0618686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 14%] 2023-07-07T20:05:40.0618978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference PASSED [0.0524s] [ 14%] 2023-07-07T20:05:40.0619252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0613s] [ 14%] 2023-07-07T20:05:40.0619519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1 PASSED [0.0128s] [ 14%] 2023-07-07T20:05:40.0619813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.1624s] [ 14%] 2023-07-07T20:05:40.0620083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0741s] [ 14%] 2023-07-07T20:05:40.0620389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 14%] 2023-07-07T20:05:40.0620661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0091s] [ 14%] 2023-07-07T20:05:40.0620900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor PASSED [0.0693s] [ 14%] 2023-07-07T20:05:40.0621182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0221s] [ 14%] 2023-07-07T20:05:40.0621451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script PASSED [0.0173s] [ 14%] 2023-07-07T20:05:40.0621776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes SKIPPED [0.0009s] (Unsupported opset_version: 9 < 13) [ 14%] 2023-07-07T20:05:40.0622057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_scalar SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 14%] 2023-07-07T20:05:40.0622350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_list SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0622643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0622888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_to_device PASSED [0.0196s] [ 15%] 2023-07-07T20:05:40.0623132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tolist PASSED [0.0071s] [ 15%] 2023-07-07T20:05:40.0623414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_topk_script SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 15%] 2023-07-07T20:05:40.0623658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0105s] [ 15%] 2023-07-07T20:05:40.0623940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_trace_script SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 15%] 2023-07-07T20:05:40.0624261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_transform_images SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0624523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_transpose_infer_shape PASSED [0.0232s] [ 15%] 2023-07-07T20:05:40.0624796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tril SKIPPED [0.0009s] (Unsupported opset_version: 9 < 14) [ 15%] 2023-07-07T20:05:40.0625095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_triu SKIPPED [0.0008s] (Unsupported opset_version: 9 < 14) [ 15%] 2023-07-07T20:05:40.0625391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 15%] 2023-07-07T20:05:40.0625707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 15%] 2023-07-07T20:05:40.0626039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script SKIPPED [0.0010s] (Unsupported opset_version: 9 < 15) [ 15%] 2023-07-07T20:05:40.0626290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0102s] [ 15%] 2023-07-07T20:05:40.0626569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception PASSED [0.0134s] [ 15%] 2023-07-07T20:05:40.0626830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input PASSED [0.0104s] [ 15%] 2023-07-07T20:05:40.0627101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unbind PASSED [0.0289s] [ 15%] 2023-07-07T20:05:40.0627342Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unfold PASSED [0.0103s] [ 15%] 2023-07-07T20:05:40.0627638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0627889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unfold_infer_shape PASSED [0.0303s] [ 15%] 2023-07-07T20:05:40.0628184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList SKIPPED [0.0009s] (Unsupported opset_version: 9 < 14) [ 15%] 2023-07-07T20:05:40.0628488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_optional SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0628776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 15%] 2023-07-07T20:05:40.0629069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 15%] 2023-07-07T20:05:40.0629317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_var_correction PASSED [0.0164s] [ 15%] 2023-07-07T20:05:40.0629587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim PASSED [0.0252s] [ 15%] 2023-07-07T20:05:40.0629831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_var_mean_keepdim PASSED [0.0262s] [ 15%] 2023-07-07T20:05:40.0630069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_view PASSED [0.0098s] [ 15%] 2023-07-07T20:05:40.0630388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_weight_norm SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 15%] 2023-07-07T20:05:40.0630689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0630952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU PASSED [0.1038s] [ 15%] 2023-07-07T20:05:40.0631281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 15%] 2023-07-07T20:05:40.0631586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 15%] 2023-07-07T20:05:40.0631831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0094s] [ 15%] 2023-07-07T20:05:40.0632068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all PASSED [0.0187s] [ 15%] 2023-07-07T20:05:40.0632394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none SKIPPED [0.0009s] (Unsupported opset_version: 9 < 15) [ 15%] 2023-07-07T20:05:40.0632695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 9 < 15) [ 15%] 2023-07-07T20:05:40.0633006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 15%] 2023-07-07T20:05:40.0633253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0069s] [ 15%] 2023-07-07T20:05:40.0633496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0069s] [ 15%] 2023-07-07T20:05:40.0633739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic PASSED [0.0259s] [ 15%] 2023-07-07T20:05:40.0634025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0634312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0634595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_out SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0634974Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0166s] [ 15%] 2023-07-07T20:05:40.0635274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0635605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0635866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out PASSED [0.0396s] [ 15%] 2023-07-07T20:05:40.0636170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0636477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision PASSED [0.1133s] [ 15%] 2023-07-07T20:05:40.0636741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0036s] [ 15%] 2023-07-07T20:05:40.0637002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0175s] [ 15%] 2023-07-07T20:05:40.0637246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_as_strided PASSED [0.0292s] [ 15%] 2023-07-07T20:05:40.0637873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0638506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0639121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0639674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0639804Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0639890Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0639902Z 2023-07-07T20:05:40.0640037Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0640172Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0640417Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0641017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0641654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0642217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0642394Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0642542Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0642691Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0642698Z 2023-07-07T20:05:40.0642774Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0642920Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0643063Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0643240Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0643246Z 2023-07-07T20:05:40.0643397Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0643540Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0643683Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0643838Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0643844Z 2023-07-07T20:05:40.0643849Z 2023-07-07T20:05:40.0643981Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0644124Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0644267Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0644553Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0644563Z 2023-07-07T20:05:40.0644714Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0644857Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0645059Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0645212Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0645217Z 2023-07-07T20:05:40.0645290Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0645434Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0645575Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0645834Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0646400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0646549Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0646701Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0646850Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0646856Z 2023-07-07T20:05:40.0646942Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0647071Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0647215Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0647366Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0647372Z 2023-07-07T20:05:40.0647517Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0647660Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0647805Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0647991Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0647996Z 2023-07-07T20:05:40.0648001Z 2023-07-07T20:05:40.0648145Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0648289Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0648419Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0648566Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0648571Z 2023-07-07T20:05:40.0648712Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0648854Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0649029Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0649177Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0649183Z 2023-07-07T20:05:40.0649269Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0649414Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0649542Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0649798Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0650127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_auto_grad SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0650373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0079s] [ 15%] 2023-07-07T20:05:40.0650677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0126s] [ 15%] 2023-07-07T20:05:40.0650977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0122s] [ 15%] 2023-07-07T20:05:40.0651272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.5289s] [ 15%] 2023-07-07T20:05:40.0651536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0100s] [ 15%] 2023-07-07T20:05:40.0651821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batched_nms SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0652068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d PASSED [0.0129s] [ 15%] 2023-07-07T20:05:40.0652318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0165s] [ 15%] 2023-07-07T20:05:40.0652580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0144s] [ 15%] 2023-07-07T20:05:40.0652837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0208s] [ 15%] 2023-07-07T20:05:40.0653094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1244s] [ 15%] 2023-07-07T20:05:40.0653339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bernoulli PASSED [0.0172s] [ 15%] 2023-07-07T20:05:40.0653584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p PASSED [0.0257s] [ 15%] 2023-07-07T20:05:40.0653924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0654215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0654531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0654785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_bucketize PASSED [0.0271s] [ 15%] 2023-07-07T20:05:40.0655027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cast_to PASSED [0.0032s] [ 15%] 2023-07-07T20:05:40.0655352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 15%] 2023-07-07T20:05:40.0655593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cdist PASSED [0.0191s] [ 15%] 2023-07-07T20:05:40.0655869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_celu SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0656149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0656377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_clamp PASSED [0.0292s] [ 15%] 2023-07-07T20:05:40.0656647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_clip_int PASSED [0.0061s] [ 15%] 2023-07-07T20:05:40.0656891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_concat PASSED [0.0054s] [ 15%] 2023-07-07T20:05:40.0657133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_conv PASSED [0.5318s] [ 15%] 2023-07-07T20:05:40.0657390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0460s] [ 15%] 2023-07-07T20:05:40.0657641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_conv_transpose PASSED [0.2965s] [ 15%] 2023-07-07T20:05:40.0657902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32 PASSED [0.0236s] [ 15%] 2023-07-07T20:05:40.0658178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_copy_ SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0658418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cross PASSED [0.0182s] [ 15%] 2023-07-07T20:05:40.0658694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cumsum SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0659014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0659258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_data PASSED [0.0050s] [ 15%] 2023-07-07T20:05:40.0659540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dequantize SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 15%] 2023-07-07T20:05:40.0659803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_derive_index PASSED [0.0603s] [ 15%] 2023-07-07T20:05:40.0660050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dict_output PASSED [0.0265s] [ 15%] 2023-07-07T20:05:40.0660294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dict_str PASSED [0.0083s] [ 15%] 2023-07-07T20:05:40.0660535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dim PASSED [0.0045s] [ 15%] 2023-07-07T20:05:40.0660847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dist_normal SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0661145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0661441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0661682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dot PASSED [0.0083s] [ 15%] 2023-07-07T20:05:40.0662001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dropout_training SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0662297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero SKIPPED [0.0011s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0662542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dtype PASSED [0.0042s] [ 15%] 2023-07-07T20:05:40.0662786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq PASSED [0.0041s] [ 15%] 2023-07-07T20:05:40.0663041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out PASSED [0.0132s] [ 15%] 2023-07-07T20:05:40.0663323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0663613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0663890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_einsum SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 15%] 2023-07-07T20:05:40.0664177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 15%] 2023-07-07T20:05:40.0664621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input SKIPPED [0.0001s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 15%] 2023-07-07T20:05:40.0664877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_module PASSED [0.0192s] [ 15%] 2023-07-07T20:05:40.0665196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0665446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_empty_branch PASSED [0.0034s] [ 15%] 2023-07-07T20:05:40.0665704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape PASSED [0.0254s] [ 15%] 2023-07-07T20:05:40.0666007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_eq SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0666248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_expand PASSED [0.0259s] [ 15%] 2023-07-07T20:05:40.0666549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 15%] 2023-07-07T20:05:40.0666799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg PASSED [0.0100s] [ 15%] 2023-07-07T20:05:40.0667056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_flatten_dynamic_axes PASSED [0.0078s] [ 15%] 2023-07-07T20:05:40.0667383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0667682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floor_div SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 15%] 2023-07-07T20:05:40.0667998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 15%] 2023-07-07T20:05:40.0668307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_floordiv SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 15%] 2023-07-07T20:05:40.0668586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fmod SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 15%] 2023-07-07T20:05:40.0668839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0078s] [ 15%] 2023-07-07T20:05:40.0669085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_full_like PASSED [0.0054s] [ 15%] 2023-07-07T20:05:40.0669331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_full_script PASSED [0.0033s] [ 15%] 2023-07-07T20:05:40.0669601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm PASSED [0.0048s] [ 15%] 2023-07-07T20:05:40.0669851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0151s] [ 15%] 2023-07-07T20:05:40.0670092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d PASSED [0.0155s] [ 15%] 2023-07-07T20:05:40.0670368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d PASSED [0.0309s] [ 15%] 2023-07-07T20:05:40.0670609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gather PASSED [0.0124s] [ 15%] 2023-07-07T20:05:40.0670865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold PASSED [0.0328s] [ 15%] 2023-07-07T20:05:40.0671105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_ge PASSED [0.0203s] [ 15%] 2023-07-07T20:05:40.0671403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_getitem SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0671730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0672056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0672419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0672749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0673079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0673408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0673735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0674062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0674381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0674803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0675181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0675501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 15%] 2023-07-07T20:05:40.0675766Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gt PASSED [0.0196s] [ 15%] 2023-07-07T20:05:40.0676016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar PASSED [0.0116s] [ 15%] 2023-07-07T20:05:40.0676278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic PASSED [0.0168s] [ 15%] 2023-07-07T20:05:40.0676557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardshrink PASSED [0.0276s] [ 15%] 2023-07-07T20:05:40.0676800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype PASSED [0.0104s] [ 15%] 2023-07-07T20:05:40.0677047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0151s] [ 15%] 2023-07-07T20:05:40.0677297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0046s] [ 15%] 2023-07-07T20:05:40.0677546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_hardtanh PASSED [0.0064s] [ 15%] 2023-07-07T20:05:40.0677832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.1734s] [ 15%] 2023-07-07T20:05:40.0678114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_if_list SKIPPED [0.0009s] (Unsupported opset_version: 9 < 13) [ 15%] 2023-07-07T20:05:40.0678399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_if_transpose SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0678677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_if_view SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 15%] 2023-07-07T20:05:40.0678930Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice PASSED [0.0071s] [ 15%] 2023-07-07T20:05:40.0679185Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0064s] [ 15%] 2023-07-07T20:05:40.0679450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ PASSED [0.0089s] [ 15%] 2023-07-07T20:05:40.0679711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes PASSED [0.0103s] [ 15%] 2023-07-07T20:05:40.0679961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal PASSED [0.0249s] [ 15%] 2023-07-07T20:05:40.0680225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_copy PASSED [0.0106s] [ 15%] 2023-07-07T20:05:40.0680513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0680792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0681111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0681397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0681686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0682000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0682296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0682590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0682894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0683183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index PASSED [0.0077s] [ 15%] 2023-07-07T20:05:40.0683445Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0090s] [ 15%] 2023-07-07T20:05:40.0683694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill PASSED [0.0091s] [ 15%] 2023-07-07T20:05:40.0683936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero PASSED [0.0078s] [ 15%] 2023-07-07T20:05:40.0684225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 15%] 2023-07-07T20:05:40.0684602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats PASSED [0.0425s] [ 15%] 2023-07-07T20:05:40.0684876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats PASSED [0.0586s] [ 16%] 2023-07-07T20:05:40.0685148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.3257s] [ 16%] 2023-07-07T20:05:40.0685415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats PASSED [0.3018s] [ 16%] 2023-07-07T20:05:40.0685741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.3493s] [ 16%] 2023-07-07T20:05:40.0686041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample SKIPPED [0.0013s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0686317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution PASSED [0.0378s] [ 16%] 2023-07-07T20:05:40.0686643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0686941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0687286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0007s] (Unsupported opset_version: 9 > 8) [ 16%] 2023-07-07T20:05:40.0687563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_isfinite SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0687805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_isnan PASSED [0.0044s] [ 16%] 2023-07-07T20:05:40.0688045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_item PASSED [0.0051s] [ 16%] 2023-07-07T20:05:40.0688290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0126s] [ 16%] 2023-07-07T20:05:40.0688561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_le PASSED [0.0155s] [ 16%] 2023-07-07T20:05:40.0688803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_len_list PASSED [0.0032s] [ 16%] 2023-07-07T20:05:40.0689048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0173s] [ 16%] 2023-07-07T20:05:40.0689294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.1795s] [ 16%] 2023-07-07T20:05:40.0689547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm PASSED [0.1173s] [ 16%] 2023-07-07T20:05:40.0689846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0690089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linear PASSED [0.0156s] [ 16%] 2023-07-07T20:05:40.0690333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_linspace PASSED [0.0121s] [ 16%] 2023-07-07T20:05:40.0690610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0690896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_append SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0691220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0691527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype SKIPPED [0.0010s] (Unsupported opset_version: 9 < 13) [ 16%] 2023-07-07T20:05:40.0691837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 16%] 2023-07-07T20:05:40.0692120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 16%] 2023-07-07T20:05:40.0692390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_unpack SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0692733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0051s] [ 16%] 2023-07-07T20:05:40.0692969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_log PASSED [0.0045s] [ 16%] 2023-07-07T20:05:40.0693211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_log10 PASSED [0.0049s] [ 16%] 2023-07-07T20:05:40.0693451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_log2 PASSED [0.0050s] [ 16%] 2023-07-07T20:05:40.0693731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logdet SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0694009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logical_and PASSED [0.0152s] [ 16%] 2023-07-07T20:05:40.0694255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logical_or PASSED [0.0183s] [ 16%] 2023-07-07T20:05:40.0694496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_logit PASSED [0.0483s] [ 16%] 2023-07-07T20:05:40.0694743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0053s] [ 16%] 2023-07-07T20:05:40.0695028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose SKIPPED [0.0015s] (Unsupported 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2023-07-07T20:05:40.0698819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lt PASSED [0.0206s] [ 16%] 2023-07-07T20:05:40.0699228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar PASSED [0.0130s] [ 16%] 2023-07-07T20:05:40.0699664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_masked_select SKIPPED [0.0014s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0700033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_matmul PASSED [0.0109s] [ 16%] 2023-07-07T20:05:40.0700398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch PASSED [0.0104s] [ 16%] 2023-07-07T20:05:40.0700811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_max_tensors PASSED [0.0057s] [ 16%] 2023-07-07T20:05:40.0701253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes SKIPPED [0.0013s] (Unsupported opset_version: 9 < 12) [ 16%] 2023-07-07T20:05:40.0701625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0096s] [ 16%] 2023-07-07T20:05:40.0702006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0100s] [ 16%] 2023-07-07T20:05:40.0702378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d PASSED [0.0093s] [ 16%] 2023-07-07T20:05:40.0702757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0208s] [ 16%] 2023-07-07T20:05:40.0703150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive PASSED [0.0098s] [ 16%] 2023-07-07T20:05:40.0703546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride PASSED [0.0121s] [ 16%] 2023-07-07T20:05:40.0703941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0118s] [ 16%] 2023-07-07T20:05:40.0704326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar PASSED [0.0222s] [ 16%] 2023-07-07T20:05:40.0704731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_min_int PASSED [0.0252s] [ 16%] 2023-07-07T20:05:40.0705087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mish PASSED [0.0063s] [ 16%] 2023-07-07T20:05:40.0705525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional SKIPPED [0.0013s] (Unsupported opset_version: 9 < 15) [ 16%] 2023-07-07T20:05:40.0706019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor SKIPPED [0.0012s] (Unsupported opset_version: 9 < 15) [ 16%] 2023-07-07T20:05:40.0706501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 16%] 2023-07-07T20:05:40.0706949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0012s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0707353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_movedim PASSED [0.0153s] [ 16%] 2023-07-07T20:05:40.0707725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_mul_bool PASSED [0.0108s] [ 16%] 2023-07-07T20:05:40.0708107Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.1260s] [ 16%] 2023-07-07T20:05:40.0708584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0013s] (Unsupported opset_version: 9 < 13) [ 16%] 2023-07-07T20:05:40.0708992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_narrow PASSED [0.0073s] [ 16%] 2023-07-07T20:05:40.0709471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_narrow_dynamic SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0709869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0067s] [ 16%] 2023-07-07T20:05:40.0710240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_new_empty PASSED [0.0326s] [ 16%] 2023-07-07T20:05:40.0710613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_new_ones PASSED [0.0304s] [ 16%] 2023-07-07T20:05:40.0710974Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_new_zeros PASSED [0.0301s] [ 16%] 2023-07-07T20:05:40.0711397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss SKIPPED [0.0013s] (Unsupported opset_version: 9 < 12) [ 16%] 2023-07-07T20:05:40.0711855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0012s] (Unsupported opset_version: 9 < 12) [ 16%] 2023-07-07T20:05:40.0712303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights SKIPPED [0.0011s] (Unsupported opset_version: 9 < 12) [ 16%] 2023-07-07T20:05:40.0712770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none SKIPPED [0.0011s] (Unsupported opset_version: 9 < 12) [ 16%] 2023-07-07T20:05:40.0713147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_nonzero PASSED [0.0110s] [ 16%] 2023-07-07T20:05:40.0713521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_numel_empty PASSED [0.0078s] [ 16%] 2023-07-07T20:05:40.0713926Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_one_hot PASSED [0.0171s] [ 16%] 2023-07-07T20:05:40.0714393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0 SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 16%] 2023-07-07T20:05:40.0714932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 16%] 2023-07-07T20:05:40.0715447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 16%] 2023-07-07T20:05:40.0715918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 16%] 2023-07-07T20:05:40.0716340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_outer SKIPPED [0.0011s] (Unsupported opset_version: 9 < 12) [ 16%] 2023-07-07T20:05:40.0716793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0717195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pad_int PASSED [0.0077s] [ 16%] 2023-07-07T20:05:40.0717575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0077s] [ 16%] 2023-07-07T20:05:40.0717963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.2339s] [ 16%] 2023-07-07T20:05:40.0718346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle PASSED [0.0213s] [ 16%] 2023-07-07T20:05:40.0718775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_prim_min SKIPPED [0.0013s] (Unsupported opset_version: 9 < 12) [ 16%] 2023-07-07T20:05:40.0719178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0063s] [ 16%] 2023-07-07T20:05:40.0719606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0180s] [ 16%] 2023-07-07T20:05:40.0720043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d SKIPPED [0.0012s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0720477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu SKIPPED [0.0011s] (Unsupported opset_version: 9 < 13) [ 16%] 2023-07-07T20:05:40.0720951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused SKIPPED [0.0011s] (Unsupported opset_version: 9 < 13) [ 16%] 2023-07-07T20:05:40.0721400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel SKIPPED [0.0011s] (Unsupported opset_version: 9 < 13) [ 16%] 2023-07-07T20:05:40.0721880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0722322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0722793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0723151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0723464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0723788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0724068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0724558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0724865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0725228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d SKIPPED [0.0010s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0725576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0725870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0726176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0726486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0726788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0727168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0727479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0727810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0728112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 16%] 2023-07-07T20:05:40.0728363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0186s] [ 16%] 2023-07-07T20:05:40.0728651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype PASSED [0.0131s] [ 16%] 2023-07-07T20:05:40.0728893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_randn PASSED [0.0113s] [ 16%] 2023-07-07T20:05:40.0729130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0156s] [ 16%] 2023-07-07T20:05:40.0729380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0130s] [ 16%] 2023-07-07T20:05:40.0729635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0102s] [ 16%] 2023-07-07T20:05:40.0729950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0125s] [ 16%] 2023-07-07T20:05:40.0730199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod PASSED [0.0253s] [ 16%] 2023-07-07T20:05:40.0730454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0093s] [ 16%] 2023-07-07T20:05:40.0730703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0115s] [ 16%] 2023-07-07T20:05:40.0730944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0060s] [ 16%] 2023-07-07T20:05:40.0731200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_remainder PASSED [0.0371s] [ 16%] 2023-07-07T20:05:40.0731456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave PASSED [0.0716s] [ 16%] 2023-07-07T20:05:40.0731708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0132s] [ 16%] 2023-07-07T20:05:40.0731969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0104s] [ 16%] 2023-07-07T20:05:40.0732245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_resize_images SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 16%] 2023-07-07T20:05:40.0732892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0733274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0733619Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0733702Z PASSED [0.0751s] [ 16%] 2023-07-07T20:05:40.0734341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0734688Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0735032Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0735406Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0735485Z PASSED [0.0679s] [ 16%] 2023-07-07T20:05:40.0735851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0373s] [ 16%] 2023-07-07T20:05:40.0736461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0736808Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0737146Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0737223Z PASSED [0.0447s] [ 16%] 2023-07-07T20:05:40.0737840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0738203Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0738562Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0738898Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0739006Z PASSED [0.0450s] [ 16%] 2023-07-07T20:05:40.0739605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0739943Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0740283Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0740387Z PASSED [0.0399s] [ 16%] 2023-07-07T20:05:40.0740729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0277s] [ 16%] 2023-07-07T20:05:40.0741333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0741685Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0742014Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0742091Z PASSED [0.0323s] [ 16%] 2023-07-07T20:05:40.0742686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0743056Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0743394Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0743755Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0743833Z PASSED [0.0325s] [ 16%] 2023-07-07T20:05:40.0744188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0213s] [ 16%] 2023-07-07T20:05:40.0744580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0225s] [ 16%] 2023-07-07T20:05:40.0745192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0745566Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0745905Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0745981Z PASSED [0.0289s] [ 16%] 2023-07-07T20:05:40.0746584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0746928Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0747270Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0747609Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0747685Z PASSED [0.0292s] [ 16%] 2023-07-07T20:05:40.0748328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0748695Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0749030Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0749366Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0749461Z PASSED [0.0287s] [ 16%] 2023-07-07T20:05:40.0750068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0750403Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0750767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0750848Z PASSED [0.0300s] [ 16%] 2023-07-07T20:05:40.0751453Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0751792Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0752135Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0752213Z PASSED [0.0249s] [ 16%] 2023-07-07T20:05:40.0752814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0753184Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0753528Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0753894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0753972Z PASSED [0.0251s] [ 16%] 2023-07-07T20:05:40.0754579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0755033Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0755370Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0755709Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0755790Z PASSED [0.0504s] [ 16%] 2023-07-07T20:05:40.0756184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0376s] [ 16%] 2023-07-07T20:05:40.0756795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0757132Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0757473Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0757551Z PASSED [0.0450s] [ 16%] 2023-07-07T20:05:40.0758149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0758531Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0758857Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0758935Z PASSED [0.0447s] [ 16%] 2023-07-07T20:05:40.0759570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0759914Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0760272Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0760608Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0760685Z PASSED [0.0449s] [ 16%] 2023-07-07T20:05:40.0761047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0326s] [ 16%] 2023-07-07T20:05:40.0761677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0762015Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0762359Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0762696Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0762773Z PASSED [0.0400s] [ 16%] 2023-07-07T20:05:40.0763377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0763746Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0764084Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0764603Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0764692Z PASSED [0.0395s] [ 16%] 2023-07-07T20:05:40.0765052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0276s] [ 16%] 2023-07-07T20:05:40.0765697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0766039Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0766374Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0766445Z PASSED [0.0327s] [ 16%] 2023-07-07T20:05:40.0767084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0767422Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0767760Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0767841Z PASSED [0.0325s] [ 16%] 2023-07-07T20:05:40.0768440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0768778Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0769159Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0769495Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0769572Z PASSED [0.0331s] [ 16%] 2023-07-07T20:05:40.0770200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0770603Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0770940Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0771274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0771351Z PASSED [0.0349s] [ 16%] 2023-07-07T20:05:40.0772000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0772340Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0772675Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0773012Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0773091Z PASSED [0.0347s] [ 16%] 2023-07-07T20:05:40.0773455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0229s] [ 16%] 2023-07-07T20:05:40.0774071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0774439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0774771Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0774862Z PASSED [0.0291s] [ 16%] 2023-07-07T20:05:40.0775471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0775839Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0776173Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0776510Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0776587Z PASSED [0.0291s] [ 16%] 2023-07-07T20:05:40.0776979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0174s] [ 16%] 2023-07-07T20:05:40.0777579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0777915Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0778259Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0778595Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0778672Z PASSED [0.0313s] [ 16%] 2023-07-07T20:05:40.0779268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0779640Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0779975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0780333Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0780414Z PASSED [0.0255s] [ 16%] 2023-07-07T20:05:40.0780770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0140s] [ 16%] 2023-07-07T20:05:40.0781151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0137s] [ 16%] 2023-07-07T20:05:40.0781751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0782117Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0782455Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0782531Z PASSED [0.0740s] [ 16%] 2023-07-07T20:05:40.0783136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0783475Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0783808Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0783875Z PASSED [0.0734s] [ 16%] 2023-07-07T20:05:40.0784474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0784844Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0785211Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0785549Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0785628Z PASSED [0.0741s] [ 16%] 2023-07-07T20:05:40.0786244Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0786611Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0786944Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0787023Z PASSED [0.0687s] [ 16%] 2023-07-07T20:05:40.0787648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0787989Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0788323Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0788667Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0788744Z PASSED [0.0693s] [ 16%] 2023-07-07T20:05:40.0789360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0789725Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0790063Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0790430Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0790508Z PASSED [0.0689s] [ 16%] 2023-07-07T20:05:40.0791115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0791479Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0791814Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0791880Z PASSED [0.0505s] [ 16%] 2023-07-07T20:05:40.0792499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0792840Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0793177Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0793508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0793588Z PASSED [0.0529s] [ 16%] 2023-07-07T20:05:40.0793940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0389s] [ 16%] 2023-07-07T20:05:40.0794540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0794975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0795313Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0795415Z PASSED [0.0437s] [ 16%] 2023-07-07T20:05:40.0796361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0796889Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0797435Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0797552Z PASSED [0.0436s] [ 17%] 2023-07-07T20:05:40.0798459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0799003Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0799516Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0800025Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0800141Z PASSED [0.0445s] [ 17%] 2023-07-07T20:05:40.0800677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0320s] [ 17%] 2023-07-07T20:05:40.0801609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0802123Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0802668Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0803175Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0803275Z PASSED [0.0418s] [ 17%] 2023-07-07T20:05:40.0803853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0305s] [ 17%] 2023-07-07T20:05:40.0804915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0805498Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0806006Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0806120Z PASSED [0.0367s] [ 17%] 2023-07-07T20:05:40.0807090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0807612Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0808117Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0808234Z PASSED [0.0360s] [ 17%] 2023-07-07T20:05:40.0808779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0245s] [ 17%] 2023-07-07T20:05:40.0809685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0810199Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0810755Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0810872Z PASSED [0.0347s] [ 17%] 2023-07-07T20:05:40.0811823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0812343Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0812895Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0813010Z PASSED [0.0342s] [ 17%] 2023-07-07T20:05:40.0813918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0814431Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0814980Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0815491Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0815594Z PASSED [0.0346s] [ 17%] 2023-07-07T20:05:40.0816128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0229s] [ 17%] 2023-07-07T20:05:40.0817041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0817561Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0818067Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0818212Z PASSED [0.0292s] [ 17%] 2023-07-07T20:05:40.0818750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0178s] [ 17%] 2023-07-07T20:05:40.0819737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0820253Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0820800Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0821306Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0821423Z PASSED [0.0754s] [ 17%] 2023-07-07T20:05:40.0822381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0822759Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0823096Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0823174Z PASSED [0.0700s] [ 17%] 2023-07-07T20:05:40.0823785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0824124Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0824457Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0824535Z PASSED [0.0762s] [ 17%] 2023-07-07T20:05:40.0824924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0629s] [ 17%] 2023-07-07T20:05:40.0825287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0570s] [ 17%] 2023-07-07T20:05:40.0825919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0826261Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0826630Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0826695Z PASSED [0.0516s] [ 17%] 2023-07-07T20:05:40.0827042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0406s] [ 17%] 2023-07-07T20:05:40.0827391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0391s] [ 17%] 2023-07-07T20:05:40.0828017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0828357Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0828690Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0828769Z PASSED [0.0446s] [ 17%] 2023-07-07T20:05:40.0829374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0829712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0830074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0830410Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0830486Z PASSED [0.0439s] [ 17%] 2023-07-07T20:05:40.0830868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0405s] [ 17%] 2023-07-07T20:05:40.0831476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0831838Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0832174Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0832252Z PASSED [0.0515s] [ 17%] 2023-07-07T20:05:40.0832879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0833221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0833557Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0833892Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0833972Z PASSED [0.0415s] [ 17%] 2023-07-07T20:05:40.0834579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0834989Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0835359Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0835688Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0835765Z PASSED [0.0413s] [ 17%] 2023-07-07T20:05:40.0836162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0288s] [ 17%] 2023-07-07T20:05:40.0836772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0837143Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0837479Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0837555Z PASSED [0.0355s] [ 17%] 2023-07-07T20:05:40.0838199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0838543Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0838875Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0838955Z PASSED [0.0349s] [ 17%] 2023-07-07T20:05:40.0839316Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0258s] [ 17%] 2023-07-07T20:05:40.0839918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0840258Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0840631Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0840709Z PASSED [0.0338s] [ 17%] 2023-07-07T20:05:40.0841332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0841674Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0842043Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0842120Z PASSED [0.0332s] [ 17%] 2023-07-07T20:05:40.0842717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0843061Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0843429Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0843763Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0843827Z PASSED [0.0340s] [ 17%] 2023-07-07T20:05:40.0844176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0220s] [ 17%] 2023-07-07T20:05:40.0844911Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0845263Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0845599Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0845735Z PASSED [0.0274s] [ 17%] 2023-07-07T20:05:40.0846337Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0846706Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0847043Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0847158Z PASSED [0.0273s] [ 17%] 2023-07-07T20:05:40.0847762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0848098Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0848439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0848812Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0848890Z PASSED [0.0270s] [ 17%] 2023-07-07T20:05:40.0849245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0190s] [ 17%] 2023-07-07T20:05:40.0849733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0850080Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0850415Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0850752Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0851128Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0851473Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0851830Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0852153Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0852491Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0852849Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0853182Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0853519Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0853884Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0854220Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0854299Z PASSED [0.1180s] [ 17%] 2023-07-07T20:05:40.0854587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_roi_align SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0854870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_roi_pool SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0855150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_rpn SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0855432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) [ 17%] 2023-07-07T20:05:40.0855685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0121s] [ 17%] 2023-07-07T20:05:40.0855930Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scalar_type PASSED [0.0430s] [ 17%] 2023-07-07T20:05:40.0856202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter PASSED [0.0166s] [ 17%] 2023-07-07T20:05:40.0856441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add PASSED [0.0139s] [ 17%] 2023-07-07T20:05:40.0856778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 16) [ 17%] 2023-07-07T20:05:40.0857132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 16) [ 17%] 2023-07-07T20:05:40.0857433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0010s] (Unsupported opset_version: 9 < 16) [ 17%] 2023-07-07T20:05:40.0857742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0007s] (Unsupported opset_version: 9 < 16) [ 17%] 2023-07-07T20:05:40.0858045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0070s] [ 17%] 2023-07-07T20:05:40.0858289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_select PASSED [0.0062s] [ 17%] 2023-07-07T20:05:40.0858546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0063s] [ 17%] 2023-07-07T20:05:40.0858842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 17%] 2023-07-07T20:05:40.0859162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 17%] 2023-07-07T20:05:40.0859455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 17%] 2023-07-07T20:05:40.0859746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 17%] 2023-07-07T20:05:40.0860036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_ PASSED [0.0080s] [ 17%] 2023-07-07T20:05:40.0860283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0059s] [ 17%] 2023-07-07T20:05:40.0860565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0860826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0861111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0861360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0335s] [ 17%] 2023-07-07T20:05:40.0861689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold PASSED [0.0064s] [ 17%] 2023-07-07T20:05:40.0861974Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 17%] 2023-07-07T20:05:40.0862307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 17%] 2023-07-07T20:05:40.0862607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 17%] 2023-07-07T20:05:40.0862858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0103s] [ 17%] 2023-07-07T20:05:40.0863149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0092s] [ 17%] 2023-07-07T20:05:40.0863395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0051s] [ 17%] 2023-07-07T20:05:40.0863655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0255s] [ 17%] 2023-07-07T20:05:40.0863902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0165s] [ 17%] 2023-07-07T20:05:40.0864148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0252s] [ 17%] 2023-07-07T20:05:40.0864414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sort PASSED [0.0097s] [ 17%] 2023-07-07T20:05:40.0864695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0864946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm PASSED [0.0109s] [ 17%] 2023-07-07T20:05:40.0865187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_split PASSED [0.0190s] [ 17%] 2023-07-07T20:05:40.0865479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0865724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_square PASSED [0.0040s] [ 17%] 2023-07-07T20:05:40.0865969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0045s] [ 17%] 2023-07-07T20:05:40.0866218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0043s] [ 17%] 2023-07-07T20:05:40.0866503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0866764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0046s] [ 17%] 2023-07-07T20:05:40.0867050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0042s] [ 17%] 2023-07-07T20:05:40.0867288Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std PASSED [0.0136s] [ 17%] 2023-07-07T20:05:40.0867540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0108s] [ 17%] 2023-07-07T20:05:40.0867800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0168s] [ 17%] 2023-07-07T20:05:40.0868044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0147s] [ 17%] 2023-07-07T20:05:40.0868334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 9 < 17) [ 17%] 2023-07-07T20:05:40.0868658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 17%] 2023-07-07T20:05:40.0868995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 17%] 2023-07-07T20:05:40.0869294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 17%] 2023-07-07T20:05:40.0869594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 17%] 2023-07-07T20:05:40.0869923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 17%] 2023-07-07T20:05:40.0870161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sum PASSED [0.0048s] [ 17%] 2023-07-07T20:05:40.0870416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0189s] [ 17%] 2023-07-07T20:05:40.0870687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange PASSED [0.0592s] [ 17%] 2023-07-07T20:05:40.0870996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0871304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0871581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 PASSED [0.0412s] [ 17%] 2023-07-07T20:05:40.0871850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0442s] [ 17%] 2023-07-07T20:05:40.0872109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0091s] [ 17%] 2023-07-07T20:05:40.0872394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0052s] [ 17%] 2023-07-07T20:05:40.0872636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor PASSED [0.0157s] [ 17%] 2023-07-07T20:05:40.0872895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script PASSED [0.0043s] [ 17%] 2023-07-07T20:05:40.0873203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0048s] [ 17%] 2023-07-07T20:05:40.0873500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 17%] 2023-07-07T20:05:40.0873796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 17%] 2023-07-07T20:05:40.0874116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 17%] 2023-07-07T20:05:40.0874447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 17%] 2023-07-07T20:05:40.0874775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_to_device PASSED [0.0116s] [ 17%] 2023-07-07T20:05:40.0875023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tolist PASSED [0.0031s] [ 17%] 2023-07-07T20:05:40.0875300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_topk PASSED [0.0057s] [ 17%] 2023-07-07T20:05:40.0875585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_trace_script SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 17%] 2023-07-07T20:05:40.0875878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0876124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0075s] [ 17%] 2023-07-07T20:05:40.0876400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tril SKIPPED [0.0008s] (Unsupported opset_version: 9 < 14) [ 17%] 2023-07-07T20:05:40.0876678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_triu SKIPPED [0.0008s] (Unsupported opset_version: 9 < 14) [ 17%] 2023-07-07T20:05:40.0876983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor SKIPPED [0.0009s] (Unsupported opset_version: 9 < 15) [ 17%] 2023-07-07T20:05:40.0877236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_output PASSED [0.0054s] [ 17%] 2023-07-07T20:05:40.0877514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception PASSED [0.0054s] [ 17%] 2023-07-07T20:05:40.0877805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs PASSED [0.0038s] [ 17%] 2023-07-07T20:05:40.0878049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_type_as PASSED [0.0126s] [ 17%] 2023-07-07T20:05:40.0878328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unfold PASSED [0.0060s] [ 17%] 2023-07-07T20:05:40.0878627Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0055s] [ 17%] 2023-07-07T20:05:40.0878922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_uninitialized SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0879224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0879570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 9 < 14) [ 17%] 2023-07-07T20:05:40.0879860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0880093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0051s] [ 17%] 2023-07-07T20:05:40.0880336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_var PASSED [0.1103s] [ 17%] 2023-07-07T20:05:40.0880636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_var_along_dims PASSED [0.0226s] [ 17%] 2023-07-07T20:05:40.0880895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_var_mean_along_dims PASSED [0.0237s] [ 17%] 2023-07-07T20:05:40.0881135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_view_as PASSED [0.0066s] [ 17%] 2023-07-07T20:05:40.0881388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic PASSED [0.0226s] [ 17%] 2023-07-07T20:05:40.0881634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_weight_norm PASSED [0.0507s] [ 17%] 2023-07-07T20:05:40.0881884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_where PASSED [0.0060s] [ 17%] 2023-07-07T20:05:40.0882141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_where_condition PASSED [0.0288s] [ 17%] 2023-07-07T20:05:40.0882441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0882701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.0832s] [ 17%] 2023-07-07T20:05:40.0882968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.0573s] [ 17%] 2023-07-07T20:05:40.0883261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0438s] [ 17%] 2023-07-07T20:05:40.0883503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast PASSED [0.0063s] [ 17%] 2023-07-07T20:05:40.0883749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0149s] [ 17%] 2023-07-07T20:05:40.0884020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0056s] [ 17%] 2023-07-07T20:05:40.0884265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0082s] [ 17%] 2023-07-07T20:05:40.0884714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 17%] 2023-07-07T20:05:40.0885017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_aminmax PASSED [0.0088s] [ 17%] 2023-07-07T20:05:40.0885263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor PASSED [0.0088s] [ 17%] 2023-07-07T20:05:40.0885503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_any PASSED [0.0213s] [ 17%] 2023-07-07T20:05:40.0885798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype SKIPPED [0.0012s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0886114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_out SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0886422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0886713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0886966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats PASSED [0.1245s] [ 17%] 2023-07-07T20:05:40.0887215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out PASSED [0.0388s] [ 17%] 2023-07-07T20:05:40.0887527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 17%] 2023-07-07T20:05:40.0887776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0095s] [ 17%] 2023-07-07T20:05:40.0888039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0034s] [ 17%] 2023-07-07T20:05:40.0888297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0105s] [ 17%] 2023-07-07T20:05:40.0888590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0172s] [ 17%] 2023-07-07T20:05:40.0888846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0252s] [ 17%] 2023-07-07T20:05:40.0889492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0014s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0890068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0890673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0013s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0891322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0012s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0891885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.0892040Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.0892191Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.0892341Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.0892354Z 2023-07-07T20:05:40.0892430Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.0892608Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.0892753Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.0892904Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.0892911Z 2023-07-07T20:05:40.0893056Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.0893202Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.0893347Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.0893497Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.0893503Z 2023-07-07T20:05:40.0893507Z 2023-07-07T20:05:40.0893650Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.0893780Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.0893924Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.0894100Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.0894108Z 2023-07-07T20:05:40.0894324Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.0894542Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.0894755Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.0894980Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.0894988Z 2023-07-07T20:05:40.0895117Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.0895320Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.0895537Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.0895922Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0896903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0897885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0898718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.0898935Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0899816Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0900019Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0900142Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0900150Z 2023-07-07T20:05:40.0900353Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0900539Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0900908Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0901833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0902702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.0902914Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0903757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.0903961Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.0904083Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.0904091Z 2023-07-07T20:05:40.0904288Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.0904492Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.0904856Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0905272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_auto_grad SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 17%] 2023-07-07T20:05:40.0905656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0087s] [ 17%] 2023-07-07T20:05:40.0906115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0117s] [ 17%] 2023-07-07T20:05:40.0906601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0121s] [ 17%] 2023-07-07T20:05:40.0907055Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0110s] [ 17%] 2023-07-07T20:05:40.0907536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0130s] [ 17%] 2023-07-07T20:05:40.0907985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0122s] [ 17%] 2023-07-07T20:05:40.0908374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil PASSED [0.5263s] [ 17%] 2023-07-07T20:05:40.0908780Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_baddbmm PASSED [0.0094s] [ 17%] 2023-07-07T20:05:40.0909177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0158s] [ 18%] 2023-07-07T20:05:40.0909574Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine PASSED [0.1384s] [ 18%] 2023-07-07T20:05:40.0909984Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer PASSED [0.1335s] [ 18%] 2023-07-07T20:05:40.0910395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer PASSED [0.1312s] [ 18%] 2023-07-07T20:05:40.0910843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_bernoulli PASSED [0.0137s] [ 18%] 2023-07-07T20:05:40.0911209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p PASSED [0.0262s] [ 18%] 2023-07-07T20:05:40.0911579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_bitshift PASSED [0.0138s] [ 18%] 2023-07-07T20:05:40.0911952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cast_to_bool PASSED [0.0069s] [ 18%] 2023-07-07T20:05:40.0912405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0912834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_celu SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0913256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_chunk SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0913630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_concat PASSED [0.0051s] [ 18%] 2023-07-07T20:05:40.0913992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv PASSED [0.5355s] [ 18%] 2023-07-07T20:05:40.0914397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_bn PASSED [0.0423s] [ 18%] 2023-07-07T20:05:40.0914861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference PASSED [0.0444s] [ 18%] 2023-07-07T20:05:40.0915250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding PASSED [0.5570s] [ 18%] 2023-07-07T20:05:40.0915667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_conv_transpose PASSED [0.2997s] [ 18%] 2023-07-07T20:05:40.0916092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0916465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cross PASSED [0.0183s] [ 18%] 2023-07-07T20:05:40.0916916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0917328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_cste_script PASSED [0.0049s] [ 18%] 2023-07-07T20:05:40.0917710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_derive_index PASSED [0.0671s] [ 18%] 2023-07-07T20:05:40.0918133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_det SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0918508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_device_eq PASSED [0.0054s] [ 18%] 2023-07-07T20:05:40.0918969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_diagonal SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0919345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dict_str PASSED [0.0054s] [ 18%] 2023-07-07T20:05:40.0919769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dim_1 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0920199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dist_normal SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0920566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div PASSED [0.0109s] [ 18%] 2023-07-07T20:05:40.0920952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script PASSED [0.0133s] [ 18%] 2023-07-07T20:05:40.0921215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace PASSED [0.0089s] [ 18%] 2023-07-07T20:05:40.0921461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode PASSED [0.0957s] [ 18%] 2023-07-07T20:05:40.0921701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dot PASSED [0.0077s] [ 18%] 2023-07-07T20:05:40.0921945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dropout PASSED [0.0048s] [ 18%] 2023-07-07T20:05:40.0922293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dropout_training SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0922590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dropout_training_zero SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0922883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out PASSED [0.0084s] [ 18%] 2023-07-07T20:05:40.0923147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_start_out PASSED [0.0266s] [ 18%] 2023-07-07T20:05:40.0923439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0923758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 18%] 2023-07-07T20:05:40.0924014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_embedding_module PASSED [0.0197s] [ 18%] 2023-07-07T20:05:40.0924261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_expand PASSED [0.0301s] [ 18%] 2023-07-07T20:05:40.0924614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_eye PASSED [0.0266s] [ 18%] 2023-07-07T20:05:40.0924921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation SKIPPED [0.0012s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0925265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 18%] 2023-07-07T20:05:40.0925597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0925840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_flatten PASSED [0.0146s] [ 18%] 2023-07-07T20:05:40.0926093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg PASSED [0.0093s] [ 18%] 2023-07-07T20:05:40.0926372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_flip SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 18%] 2023-07-07T20:05:40.0926685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_floor_div SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 18%] 2023-07-07T20:05:40.0926996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_floordiv SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 18%] 2023-07-07T20:05:40.0927287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar SKIPPED [0.0010s] (Unsupported opset_version: 9 < 10) [ 18%] 2023-07-07T20:05:40.0927574Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm PASSED [0.0072s] [ 18%] 2023-07-07T20:05:40.0927836Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim PASSED [0.0078s] [ 18%] 2023-07-07T20:05:40.0928081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm PASSED [0.0069s] [ 18%] 2023-07-07T20:05:40.0928363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d PASSED [0.0180s] [ 18%] 2023-07-07T20:05:40.0928618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block PASSED [0.0159s] [ 18%] 2023-07-07T20:05:40.0928860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gather PASSED [0.0138s] [ 18%] 2023-07-07T20:05:40.0929139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold PASSED [0.0360s] [ 18%] 2023-07-07T20:05:40.0929375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gelu PASSED [0.0109s] [ 18%] 2023-07-07T20:05:40.0929615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_glu PASSED [0.0080s] [ 18%] 2023-07-07T20:05:40.0929942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0014s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0930276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0014s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0930637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0013s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0930969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0015s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0931299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0931630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0012s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0931954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0012s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0932279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0012s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0932601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0012s] (Unsupported opset_version: 9 < 16) [ 18%] 2023-07-07T20:05:40.0932884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias PASSED [0.0748s] [ 18%] 2023-07-07T20:05:40.0933139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive PASSED [0.0073s] [ 18%] 2023-07-07T20:05:40.0933383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar PASSED [0.0134s] [ 18%] 2023-07-07T20:05:40.0933681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values PASSED [0.0186s] [ 18%] 2023-07-07T20:05:40.0933933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic PASSED [0.0190s] [ 18%] 2023-07-07T20:05:40.0934193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic PASSED [0.0177s] [ 18%] 2023-07-07T20:05:40.0934476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype PASSED [0.0108s] [ 18%] 2023-07-07T20:05:40.0934727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hardsigmoid PASSED [0.0146s] [ 18%] 2023-07-07T20:05:40.0934983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_hardswish_script PASSED [0.0049s] [ 18%] 2023-07-07T20:05:40.0935241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints PASSED [0.1689s] [ 18%] 2023-07-07T20:05:40.0935484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_if_fold PASSED [0.0506s] [ 18%] 2023-07-07T20:05:40.0935792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_if_list SKIPPED [0.0009s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0936071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_im2col SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0936316Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_1d PASSED [0.0057s] [ 18%] 2023-07-07T20:05:40.0936576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0116s] [ 18%] 2023-07-07T20:05:40.0936829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal PASSED [0.0258s] [ 18%] 2023-07-07T20:05:40.0937079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_fill PASSED [0.0132s] [ 18%] 2023-07-07T20:05:40.0937311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_mask PASSED [0.0134s] [ 18%] 2023-07-07T20:05:40.0937599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_mask_nd SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0937898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0938232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_ellipsis SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0938521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_if SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0938834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_5 SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0939134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0939432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0939772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0940043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index PASSED [0.0069s] [ 18%] 2023-07-07T20:05:40.0940310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic_half PASSED [0.0099s] [ 18%] 2023-07-07T20:05:40.0940566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop PASSED [0.0059s] [ 18%] 2023-07-07T20:05:40.0940822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero PASSED [0.0090s] [ 18%] 2023-07-07T20:05:40.0941150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0941425Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats PASSED [0.2242s] [ 18%] 2023-07-07T20:05:40.0941675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training PASSED [0.1413s] [ 18%] 2023-07-07T20:05:40.0941949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error PASSED [0.0190s] [ 18%] 2023-07-07T20:05:40.0942252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0942547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0942810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample PASSED [0.0698s] [ 18%] 2023-07-07T20:05:40.0943113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 9 > 8) [ 18%] 2023-07-07T20:05:40.0943381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_isnan PASSED [0.0043s] [ 18%] 2023-07-07T20:05:40.0943625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_item PASSED [0.0052s] [ 18%] 2023-07-07T20:05:40.0943874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_layer_norm PASSED [0.0131s] [ 18%] 2023-07-07T20:05:40.0944109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_le PASSED [0.0161s] [ 18%] 2023-07-07T20:05:40.0944416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_len SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0944661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_len_list PASSED [0.0032s] [ 18%] 2023-07-07T20:05:40.0944905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lerp PASSED [0.0482s] [ 18%] 2023-07-07T20:05:40.0945174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0183s] [ 18%] 2023-07-07T20:05:40.0945428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm PASSED [0.0863s] [ 18%] 2023-07-07T20:05:40.0945682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm PASSED [0.1637s] [ 18%] 2023-07-07T20:05:40.0945944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_linspace_negative_start PASSED [0.0127s] [ 18%] 2023-07-07T20:05:40.0946221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0946538Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_append SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0946837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 14) [ 18%] 2023-07-07T20:05:40.0947147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0947429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_del SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0947717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0947975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted PASSED [0.0091s] [ 18%] 2023-07-07T20:05:40.0948290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0046s] [ 18%] 2023-07-07T20:05:40.0948526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_log PASSED [0.0046s] [ 18%] 2023-07-07T20:05:40.0948800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_log1p PASSED [0.0054s] [ 18%] 2023-07-07T20:05:40.0949039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_logical_and PASSED [0.0168s] [ 18%] 2023-07-07T20:05:40.0949279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_logit PASSED [0.0395s] [ 18%] 2023-07-07T20:05:40.0949554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0039s] [ 18%] 2023-07-07T20:05:40.0949840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_loop_with_list SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0950087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple PASSED [0.0101s] [ 18%] 2023-07-07T20:05:40.0950372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0044s] [ 18%] 2023-07-07T20:05:40.0950629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lstm_constant_folding PASSED [0.0702s] [ 18%] 2023-07-07T20:05:40.0950875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias PASSED [0.0873s] [ 18%] 2023-07-07T20:05:40.0951122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_hidden PASSED [0.0216s] [ 18%] 2023-07-07T20:05:40.0951366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_lt_scalar PASSED [0.0098s] [ 18%] 2023-07-07T20:05:40.0951683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0951978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_masked_select SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0952221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_matmul PASSED [0.0076s] [ 18%] 2023-07-07T20:05:40.0952449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_max_int PASSED [0.0074s] [ 18%] 2023-07-07T20:05:40.0952698Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0042s] [ 18%] 2023-07-07T20:05:40.0952987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maximum_dtypes SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0953241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maximum_minimum PASSED [0.0049s] [ 18%] 2023-07-07T20:05:40.0953488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool PASSED [0.0065s] [ 18%] 2023-07-07T20:05:40.0953736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool_3d_ceil PASSED [0.4029s] [ 18%] 2023-07-07T20:05:40.0953997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0098s] [ 18%] 2023-07-07T20:05:40.0954285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0093s] [ 18%] 2023-07-07T20:05:40.0954529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0149s] [ 18%] 2023-07-07T20:05:40.0954952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional SKIPPED [0.0010s] (Unsupported opset_version: 9 < 15) [ 18%] 2023-07-07T20:05:40.0955265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 9 < 15) [ 18%] 2023-07-07T20:05:40.0955585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 18%] 2023-07-07T20:05:40.0955955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 18%] 2023-07-07T20:05:40.0956201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0132s] [ 18%] 2023-07-07T20:05:40.0956435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_movedim PASSED [0.0137s] [ 18%] 2023-07-07T20:05:40.0956683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0118s] [ 18%] 2023-07-07T20:05:40.0956978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_multi_scale_roi_align SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0957320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 18%] 2023-07-07T20:05:40.0957604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 18%] 2023-07-07T20:05:40.0957848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_narrow PASSED [0.0054s] [ 18%] 2023-07-07T20:05:40.0958106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0066s] [ 18%] 2023-07-07T20:05:40.0958367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output PASSED [0.0053s] [ 18%] 2023-07-07T20:05:40.0958614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_new_empty PASSED [0.0247s] [ 18%] 2023-07-07T20:05:40.0958860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_new_full PASSED [0.0263s] [ 18%] 2023-07-07T20:05:40.0959141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss SKIPPED [0.0009s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0959425Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0959765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0960057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_none SKIPPED [0.0008s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0960365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0960671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0960946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_nms SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0961218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_numel PASSED [0.0073s] [ 18%] 2023-07-07T20:05:40.0961529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 18%] 2023-07-07T20:05:40.0961842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 18%] 2023-07-07T20:05:40.0962152Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 18%] 2023-07-07T20:05:40.0962489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 18%] 2023-07-07T20:05:40.0962769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_outer SKIPPED [0.0007s] (Unsupported opset_version: 9 < 12) [ 18%] 2023-07-07T20:05:40.0963069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 18%] 2023-07-07T20:05:40.0963326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pairwise_distance PASSED [0.0089s] [ 18%] 2023-07-07T20:05:40.0963584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.1653s] [ 18%] 2023-07-07T20:05:40.0963839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0173s] [ 18%] 2023-07-07T20:05:40.0964091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle PASSED [0.0164s] [ 18%] 2023-07-07T20:05:40.0964330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_pow PASSED [0.0361s] [ 18%] 2023-07-07T20:05:40.0964706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_prelu PASSED [0.0057s] [ 18%] 2023-07-07T20:05:40.0965022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0046s] [ 19%] 2023-07-07T20:05:40.0965285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0053s] [ 19%] 2023-07-07T20:05:40.0965567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0206s] [ 19%] 2023-07-07T20:05:40.0965878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0136s] [ 19%] 2023-07-07T20:05:40.0966165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d SKIPPED [0.0009s] (Unsupported opset_version: 9 < 13) [ 19%] 2023-07-07T20:05:40.0966460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 19%] 2023-07-07T20:05:40.0966798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 19%] 2023-07-07T20:05:40.0967087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0967396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0967694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0968039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0968345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0968655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_shape SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0968963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0969253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0969549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0969855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0970153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0970479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0970863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0001s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 19%] 2023-07-07T20:05:40.0971195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0971495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0971812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0972143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0972461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0972752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0973078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select SKIPPED [0.0008s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0973379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0973685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0973982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view SKIPPED [0.0007s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.0974225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn PASSED [0.0093s] [ 19%] 2023-07-07T20:05:40.0974463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0098s] [ 19%] 2023-07-07T20:05:40.0974707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0110s] [ 19%] 2023-07-07T20:05:40.0974960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype PASSED [0.0094s] [ 19%] 2023-07-07T20:05:40.0975212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0076s] [ 19%] 2023-07-07T20:05:40.0975493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0091s] [ 19%] 2023-07-07T20:05:40.0975749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max PASSED [0.0173s] [ 19%] 2023-07-07T20:05:40.0975997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod PASSED [0.0264s] [ 19%] 2023-07-07T20:05:40.0976268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum PASSED [0.0364s] [ 19%] 2023-07-07T20:05:40.0976520Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reflection_pad PASSED [0.0093s] [ 19%] 2023-07-07T20:05:40.0976763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_relu_int PASSED [0.0045s] [ 19%] 2023-07-07T20:05:40.0977018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar PASSED [0.0432s] [ 19%] 2023-07-07T20:05:40.0977301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave PASSED [0.0593s] [ 19%] 2023-07-07T20:05:40.0977556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_replication_pad PASSED [0.0106s] [ 19%] 2023-07-07T20:05:40.0978054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 19%] 2023-07-07T20:05:40.0978320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank PASSED [0.0059s] [ 19%] 2023-07-07T20:05:40.0978665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_resize_images SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.0979359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0979711Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0980058Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0980141Z PASSED [0.0507s] [ 19%] 2023-07-07T20:05:40.0980755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0981134Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0981475Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0981553Z PASSED [0.0509s] [ 19%] 2023-07-07T20:05:40.0982191Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0982532Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0982896Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0982972Z PASSED [0.0466s] [ 19%] 2023-07-07T20:05:40.0983590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0983963Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0984307Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0984386Z PASSED [0.0448s] [ 19%] 2023-07-07T20:05:40.0984993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0985334Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0985670Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0986010Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0986109Z PASSED [0.0462s] [ 19%] 2023-07-07T20:05:40.0986719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0987089Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0987426Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0987506Z PASSED [0.0410s] [ 19%] 2023-07-07T20:05:40.0988116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0988486Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0988821Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0989187Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0989267Z PASSED [0.0401s] [ 19%] 2023-07-07T20:05:40.0989624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0280s] [ 19%] 2023-07-07T20:05:40.0990226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0990570Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0990908Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0990984Z PASSED [0.0350s] [ 19%] 2023-07-07T20:05:40.0991583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0991958Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0992320Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0992657Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0992759Z PASSED [0.0359s] [ 19%] 2023-07-07T20:05:40.0993711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0994222Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0994790Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0995346Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0995447Z PASSED [0.0353s] [ 19%] 2023-07-07T20:05:40.0995986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0228s] [ 19%] 2023-07-07T20:05:40.0996915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0997438Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0997950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.0998063Z PASSED [0.0357s] [ 19%] 2023-07-07T20:05:40.0998612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0232s] [ 19%] 2023-07-07T20:05:40.0999205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0246s] [ 19%] 2023-07-07T20:05:40.1000218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1000732Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1001278Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1001793Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1001907Z PASSED [0.0301s] [ 19%] 2023-07-07T20:05:40.1002458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0196s] [ 19%] 2023-07-07T20:05:40.1003048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0178s] [ 19%] 2023-07-07T20:05:40.1003971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1004585Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1005107Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1005223Z PASSED [0.0326s] [ 19%] 2023-07-07T20:05:40.1006133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1006647Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1007224Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1007730Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1007886Z PASSED [0.0317s] [ 19%] 2023-07-07T20:05:40.1008807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1009367Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1009867Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1010375Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1010490Z PASSED [0.0319s] [ 19%] 2023-07-07T20:05:40.1011064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0197s] [ 19%] 2023-07-07T20:05:40.1011992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1012505Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1013020Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1013135Z PASSED [0.0261s] [ 19%] 2023-07-07T20:05:40.1013676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0145s] [ 19%] 2023-07-07T20:05:40.1014221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0145s] [ 19%] 2023-07-07T20:05:40.1015176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1015732Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1016245Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1016359Z PASSED [0.0511s] [ 19%] 2023-07-07T20:05:40.1017290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1017840Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1018345Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1018460Z PASSED [0.0513s] [ 19%] 2023-07-07T20:05:40.1019417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1019840Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1020174Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1020522Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1020601Z PASSED [0.0510s] [ 19%] 2023-07-07T20:05:40.1020952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0379s] [ 19%] 2023-07-07T20:05:40.1021313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0387s] [ 19%] 2023-07-07T20:05:40.1021961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1022326Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1022659Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1022738Z PASSED [0.0448s] [ 19%] 2023-07-07T20:05:40.1023382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1023723Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1024061Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1024141Z PASSED [0.0445s] [ 19%] 2023-07-07T20:05:40.1024787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1025121Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1025455Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1025795Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1025871Z PASSED [0.0459s] [ 19%] 2023-07-07T20:05:40.1026483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1026852Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1027183Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1027547Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1027626Z PASSED [0.0453s] [ 19%] 2023-07-07T20:05:40.1027988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0326s] [ 19%] 2023-07-07T20:05:40.1028383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0319s] [ 19%] 2023-07-07T20:05:40.1028987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1029332Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1029696Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1029762Z PASSED [0.0400s] [ 19%] 2023-07-07T20:05:40.1030364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1030709Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1031045Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1031380Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1031455Z PASSED [0.0402s] [ 19%] 2023-07-07T20:05:40.1031809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0285s] [ 19%] 2023-07-07T20:05:40.1032446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1032809Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1033150Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1033281Z PASSED [0.0349s] [ 19%] 2023-07-07T20:05:40.1033885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1034225Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1034594Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1034771Z PASSED [0.0347s] [ 19%] 2023-07-07T20:05:40.1035381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1035718Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1036060Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1036395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1036475Z PASSED [0.0357s] [ 19%] 2023-07-07T20:05:40.1036830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0226s] [ 19%] 2023-07-07T20:05:40.1037221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0231s] [ 19%] 2023-07-07T20:05:40.1037858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1038198Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1038541Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1038637Z PASSED [0.0345s] [ 19%] 2023-07-07T20:05:40.1039250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1039587Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1039952Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1040031Z PASSED [0.0341s] [ 19%] 2023-07-07T20:05:40.1040392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0243s] [ 19%] 2023-07-07T20:05:40.1041000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1041342Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1041676Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1042007Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1042110Z PASSED [0.0295s] [ 19%] 2023-07-07T20:05:40.1042478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0194s] [ 19%] 2023-07-07T20:05:40.1043119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1043458Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1043794Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1043898Z PASSED [0.0309s] [ 19%] 2023-07-07T20:05:40.1044251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0198s] [ 19%] 2023-07-07T20:05:40.1044989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1045390Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1045731Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1045809Z PASSED [0.0259s] [ 19%] 2023-07-07T20:05:40.1046417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1046765Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1047109Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1047448Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1047585Z PASSED [0.0263s] [ 19%] 2023-07-07T20:05:40.1047946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0141s] [ 19%] 2023-07-07T20:05:40.1048305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0146s] [ 19%] 2023-07-07T20:05:40.1048948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1049322Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1049664Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1049743Z PASSED [0.0734s] [ 19%] 2023-07-07T20:05:40.1050349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1050719Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1051062Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1051397Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1051478Z PASSED [0.0744s] [ 19%] 2023-07-07T20:05:40.1051843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0616s] [ 19%] 2023-07-07T20:05:40.1052456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1052792Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1053158Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1053235Z PASSED [0.0693s] [ 19%] 2023-07-07T20:05:40.1053866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1054204Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1054572Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1054649Z PASSED [0.0692s] [ 19%] 2023-07-07T20:05:40.1055252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1055622Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1055962Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1056301Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1056366Z PASSED [0.0697s] [ 19%] 2023-07-07T20:05:40.1056730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0564s] [ 19%] 2023-07-07T20:05:40.1057330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1057669Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1058007Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1058379Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1058860Z PASSED [0.0510s] [ 19%] 2023-07-07T20:05:40.1059605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1060538Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1061666Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1062381Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1062812Z PASSED [0.0452s] [ 19%] 2023-07-07T20:05:40.1063286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0328s] [ 19%] 2023-07-07T20:05:40.1064051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0328s] [ 19%] 2023-07-07T20:05:40.1065039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1065983Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1066695Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1067106Z PASSED [0.0416s] [ 19%] 2023-07-07T20:05:40.1067822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1068788Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1069479Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1070185Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1070601Z PASSED [0.0434s] [ 19%] 2023-07-07T20:05:40.1071318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1072290Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1072983Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1073403Z PASSED [0.0375s] [ 19%] 2023-07-07T20:05:40.1074158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1075361Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1076102Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1076528Z PASSED [0.0378s] [ 19%] 2023-07-07T20:05:40.1077595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1079027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1080070Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1081171Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1081801Z PASSED [0.0374s] [ 19%] 2023-07-07T20:05:40.1082949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1084481Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1085538Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1086638Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1087275Z PASSED [0.0370s] [ 19%] 2023-07-07T20:05:40.1087992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0252s] [ 19%] 2023-07-07T20:05:40.1089675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1090749Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1091435Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1091858Z PASSED [0.0349s] [ 19%] 2023-07-07T20:05:40.1092582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1093512Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1094199Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1094687Z PASSED [0.0346s] [ 19%] 2023-07-07T20:05:40.1095416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1096395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1097083Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1097507Z PASSED [0.0289s] [ 19%] 2023-07-07T20:05:40.1098255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1099179Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1099862Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1100568Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1100988Z PASSED [0.0289s] [ 19%] 2023-07-07T20:05:40.1101695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1102626Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1103322Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1104006Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1104426Z PASSED [0.0285s] [ 19%] 2023-07-07T20:05:40.1105151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1106132Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1106852Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1107271Z PASSED [0.0752s] [ 19%] 2023-07-07T20:05:40.1108001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1108985Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1109677Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1110085Z PASSED [0.0751s] [ 19%] 2023-07-07T20:05:40.1110846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1111774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1112457Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1113141Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1113568Z PASSED [0.0756s] [ 19%] 2023-07-07T20:05:40.1114032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0598s] [ 19%] 2023-07-07T20:05:40.1115108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1116094Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1116767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1117187Z PASSED [0.0711s] [ 19%] 2023-07-07T20:05:40.1117942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1118917Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1119591Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1120014Z PASSED [0.0709s] [ 19%] 2023-07-07T20:05:40.1120497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0572s] [ 19%] 2023-07-07T20:05:40.1121528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1122471Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1123164Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1123835Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1124261Z PASSED [0.0526s] [ 19%] 2023-07-07T20:05:40.1125116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1126040Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1126792Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1127478Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1127933Z PASSED [0.0525s] [ 19%] 2023-07-07T20:05:40.1128405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0390s] [ 19%] 2023-07-07T20:05:40.1129365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1130335Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1131017Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1131442Z PASSED [0.0443s] [ 19%] 2023-07-07T20:05:40.1132181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1133121Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1133810Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1134489Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1134908Z PASSED [0.0448s] [ 19%] 2023-07-07T20:05:40.1135642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1136560Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1137269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1137683Z PASSED [0.0426s] [ 19%] 2023-07-07T20:05:40.1138427Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1139366Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1140072Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1140743Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1141162Z PASSED [0.0416s] [ 19%] 2023-07-07T20:05:40.1141639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0291s] [ 19%] 2023-07-07T20:05:40.1142406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0282s] [ 19%] 2023-07-07T20:05:40.1143374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1144298Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1144972Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1145388Z PASSED [0.0348s] [ 19%] 2023-07-07T20:05:40.1146117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1147085Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1147767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1148186Z PASSED [0.0352s] [ 19%] 2023-07-07T20:05:40.1148924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1149862Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1150570Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1151244Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1151666Z PASSED [0.0363s] [ 19%] 2023-07-07T20:05:40.1152426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1153372Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1154047Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1154815Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1155232Z PASSED [0.0361s] [ 19%] 2023-07-07T20:05:40.1155708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0403s] [ 19%] 2023-07-07T20:05:40.1156689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1157656Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1158331Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1158753Z PASSED [0.0289s] [ 19%] 2023-07-07T20:05:40.1159501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1160524Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1161590Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1162223Z PASSED [0.0270s] [ 19%] 2023-07-07T20:05:40.1163286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1164847Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1165890Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1166917Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1167549Z PASSED [0.0275s] [ 19%] 2023-07-07T20:05:40.1168613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1170020Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1171053Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1172119Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1172744Z PASSED [0.0286s] [ 19%] 2023-07-07T20:05:40.1173448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0189s] [ 19%] 2023-07-07T20:05:40.1174552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0188s] [ 19%] 2023-07-07T20:05:40.1175847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1177137Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1178168Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1179201Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1180266Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1181299Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1182306Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1183328Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1184360Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1185391Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1186412Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1187485Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1188433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1189166Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1189590Z PASSED [0.1202s] [ 19%] 2023-07-07T20:05:40.1189990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_round SKIPPED [0.0010s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1190556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_rpn SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1191135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor PASSED [0.0116s] [ 19%] 2023-07-07T20:05:40.1191647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter PASSED [0.0237s] [ 19%] 2023-07-07T20:05:40.1192245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0013s] (Unsupported opset_version: 9 < 16) [ 19%] 2023-07-07T20:05:40.1192931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 19%] 2023-07-07T20:05:40.1193600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 19%] 2023-07-07T20:05:40.1194205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero SKIPPED [0.0011s] (Unsupported opset_version: 9 < 16) [ 19%] 2023-07-07T20:05:40.1194854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar PASSED [0.0085s] [ 19%] 2023-07-07T20:05:40.1195373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_select PASSED [0.0087s] [ 19%] 2023-07-07T20:05:40.1195895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0075s] [ 19%] 2023-07-07T20:05:40.1196446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_bool SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 19%] 2023-07-07T20:05:40.1197030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 19%] 2023-07-07T20:05:40.1197611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1198181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4 SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1198799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1199343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0321s] [ 19%] 2023-07-07T20:05:40.1199864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_shape_constant_fold PASSED [0.0065s] [ 19%] 2023-07-07T20:05:40.1200400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_silu PASSED [0.0047s] [ 19%] 2023-07-07T20:05:40.1200951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_script SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.1201556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 19%] 2023-07-07T20:05:40.1202131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large PASSED [0.0103s] [ 19%] 2023-07-07T20:05:40.1202695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1203250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_softshrink PASSED [0.0251s] [ 19%] 2023-07-07T20:05:40.1203754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sort PASSED [0.0114s] [ 19%] 2023-07-07T20:05:40.1204283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm PASSED [0.0106s] [ 19%] 2023-07-07T20:05:40.1204940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split PASSED [0.0177s] [ 19%] 2023-07-07T20:05:40.1205489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1206079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1206673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1207224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0052s] [ 19%] 2023-07-07T20:05:40.1207738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_square PASSED [0.0066s] [ 19%] 2023-07-07T20:05:40.1208283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 19%] 2023-07-07T20:05:40.1208871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 9 < 13) [ 19%] 2023-07-07T20:05:40.1209521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1210049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stack PASSED [0.0060s] [ 20%] 2023-07-07T20:05:40.1210542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std PASSED [0.0128s] [ 20%] 2023-07-07T20:05:40.1211077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims PASSED [0.0158s] [ 20%] 2023-07-07T20:05:40.1211586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0132s] [ 20%] 2023-07-07T20:05:40.1212100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0168s] [ 20%] 2023-07-07T20:05:40.1212679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0168s] [ 20%] 2023-07-07T20:05:40.1213243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1213843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1214436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1215061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1215658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1216272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1216878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0010s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1217486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0008s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1218087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 9 < 17) [ 20%] 2023-07-07T20:05:40.1218622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_sum PASSED [0.0046s] [ 20%] 2023-07-07T20:05:40.1219139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference PASSED [0.0420s] [ 20%] 2023-07-07T20:05:40.1219683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0557s] [ 20%] 2023-07-07T20:05:40.1220305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box SKIPPED [0.0014s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1220892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1 PASSED [0.0118s] [ 20%] 2023-07-07T20:05:40.1221469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.0436s] [ 20%] 2023-07-07T20:05:40.1222061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice SKIPPED [0.0009s] (Unsupported opset_version: 9 < 10) [ 20%] 2023-07-07T20:05:40.1222649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time PASSED [0.0535s] [ 20%] 2023-07-07T20:05:40.1223207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0110s] [ 20%] 2023-07-07T20:05:40.1223696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor PASSED [0.0222s] [ 20%] 2023-07-07T20:05:40.1224217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing PASSED [0.0754s] [ 20%] 2023-07-07T20:05:40.1224757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor_like_factories_script PASSED [0.0075s] [ 20%] 2023-07-07T20:05:40.1225320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensor_split SKIPPED [0.0013s] (Unsupported opset_version: 9 < 13) [ 20%] 2023-07-07T20:05:40.1225956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list SKIPPED [0.0011s] (Unsupported opset_version: 9 < 12) [ 20%] 2023-07-07T20:05:40.1226543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim SKIPPED [0.0011s] (Unsupported opset_version: 9 < 12) [ 20%] 2023-07-07T20:05:40.1227146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_topk_smallest_unsorted SKIPPED [0.0011s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1227739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_trace_script SKIPPED [0.0011s] (Unsupported opset_version: 9 < 10) [ 20%] 2023-07-07T20:05:40.1228330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_transform_images SKIPPED [0.0016s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1228891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape PASSED [0.0121s] [ 20%] 2023-07-07T20:05:40.1229426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tril SKIPPED [0.0012s] (Unsupported opset_version: 9 < 14) [ 20%] 2023-07-07T20:05:40.1229986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_triu SKIPPED [0.0011s] (Unsupported opset_version: 9 < 14) [ 20%] 2023-07-07T20:05:40.1230596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional SKIPPED [0.0011s] (Unsupported opset_version: 9 < 15) [ 20%] 2023-07-07T20:05:40.1231214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 20%] 2023-07-07T20:05:40.1231792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0092s] [ 20%] 2023-07-07T20:05:40.1232355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception PASSED [0.0058s] [ 20%] 2023-07-07T20:05:40.1232908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_primitive_input PASSED [0.0079s] [ 20%] 2023-07-07T20:05:40.1233443Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_tuple_with_none_outputs PASSED [0.0039s] [ 20%] 2023-07-07T20:05:40.1233987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unbind PASSED [0.0144s] [ 20%] 2023-07-07T20:05:40.1234499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unfold_infer_shape PASSED [0.0055s] [ 20%] 2023-07-07T20:05:40.1235133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1235729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1236392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 9 < 14) [ 20%] 2023-07-07T20:05:40.1237026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape SKIPPED [0.0007s] (Unsupported opset_version: 9 < 14) [ 20%] 2023-07-07T20:05:40.1237622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unique SKIPPED [0.0007s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1238191Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unique_along_dim SKIPPED [0.0012s] (Unsupported opset_version: 9 < 11) [ 20%] 2023-07-07T20:05:40.1238745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk PASSED [0.0061s] [ 20%] 2023-07-07T20:05:40.1239258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0041s] [ 20%] 2023-07-07T20:05:40.1239810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 9 < 13) [ 20%] 2023-07-07T20:05:40.1240376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_unsupported_pad PASSED [0.0031s] [ 20%] 2023-07-07T20:05:40.1240870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var PASSED [0.1033s] [ 20%] 2023-07-07T20:05:40.1241400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0170s] [ 20%] 2023-07-07T20:05:40.1241924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var_mean_along_dims PASSED [0.0171s] [ 20%] 2023-07-07T20:05:40.1242442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim PASSED [0.0176s] [ 20%] 2023-07-07T20:05:40.1242966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_view PASSED [0.0049s] [ 20%] 2023-07-07T20:05:40.1243484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim PASSED [0.0070s] [ 20%] 2023-07-07T20:05:40.1244007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_weight_norm_nodim PASSED [0.0128s] [ 20%] 2023-07-07T20:05:40.1244704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_where_condition PASSED [0.0221s] [ 20%] 2023-07-07T20:05:40.1245238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU PASSED [0.0612s] [ 20%] 2023-07-07T20:05:40.1245759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_LSTM PASSED [0.0643s] [ 20%] 2023-07-07T20:05:40.1246296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU PASSED [0.0423s] [ 20%] 2023-07-07T20:05:40.1246841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_9_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0115s] [ 20%] 2023-07-07T20:05:40.1250026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0120s] [ 20%] 2023-07-07T20:05:40.1250557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1251106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0344s] [ 20%] 2023-07-07T20:05:40.1251675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1252282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out PASSED [0.0531s] [ 20%] 2023-07-07T20:05:40.1252859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index SKIPPED [0.0010s] (Unsupported opset_version: 10 < 12) [ 20%] 2023-07-07T20:05:40.1253441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_argsort SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1254010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arithmetic PASSED [0.0504s] [ 20%] 2023-07-07T20:05:40.1254542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision PASSED [0.2049s] [ 20%] 2023-07-07T20:05:40.1255113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_as_strided SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1256088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1256998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1257890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1258884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1259838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.1260334Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.1260522Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.1260647Z 2023-07-07T20:05:40.1260784Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.1261036Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.1261397Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1262124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.1262633Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.1262904Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.1263175Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.1263287Z 2023-07-07T20:05:40.1263375Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.1263636Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.1263938Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.1264195Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.1264321Z 2023-07-07T20:05:40.1264470Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.1264733Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.1264986Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.1265252Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.1265376Z 2023-07-07T20:05:40.1265381Z 2023-07-07T20:05:40.1265525Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.1265822Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.1266076Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.1266339Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.1266461Z 2023-07-07T20:05:40.1266606Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.1266858Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.1267115Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.1267412Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.1267539Z 2023-07-07T20:05:40.1267627Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.1267873Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.1268133Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.1268502Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1269290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1270328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1271261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.1271767Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1272468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.1272969Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1273673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.1274167Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.1274366Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.1274488Z 2023-07-07T20:05:40.1274705Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.1274944Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.1275300Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1276027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.1276603Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.1276857Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.1277124Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.1277249Z 2023-07-07T20:05:40.1277336Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.1277583Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.1277879Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.1278147Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.1278273Z 2023-07-07T20:05:40.1278421Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.1278672Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.1278931Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.1279200Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.1279360Z 2023-07-07T20:05:40.1279367Z 2023-07-07T20:05:40.1279499Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.1279756Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.1280016Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.1280283Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.1280394Z 2023-07-07T20:05:40.1280539Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.1280797Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.1281058Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.1281312Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.1281437Z 2023-07-07T20:05:40.1281527Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.1281784Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.1282037Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.1282443Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1282876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0121s] [ 20%] 2023-07-07T20:05:40.1283435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0193s] [ 20%] 2023-07-07T20:05:40.1284039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0624s] [ 20%] 2023-07-07T20:05:40.1284779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.6649s] [ 20%] 2023-07-07T20:05:40.1285293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_baddbmm PASSED [0.0211s] [ 20%] 2023-07-07T20:05:40.1285794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0185s] [ 20%] 2023-07-07T20:05:40.1286345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batched_nms SKIPPED [0.0015s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1286878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d PASSED [0.0349s] [ 20%] 2023-07-07T20:05:40.1287479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats PASSED [0.0709s] [ 20%] 2023-07-07T20:05:40.1288030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer PASSED [0.2826s] [ 20%] 2023-07-07T20:05:40.1288597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bernoulli PASSED [0.0330s] [ 20%] 2023-07-07T20:05:40.1289402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bernoulli_p PASSED [0.0712s] [ 20%] 2023-07-07T20:05:40.1290150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0276s] [ 20%] 2023-07-07T20:05:40.1290965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_bitshift_uint8 SKIPPED [0.0015s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1291830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cast_to_bool PASSED [0.0174s] [ 20%] 2023-07-07T20:05:40.1292639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_celu SKIPPED [0.0014s] (Unsupported opset_version: 10 < 12) [ 20%] 2023-07-07T20:05:40.1293496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_celu_cast SKIPPED [0.0013s] (Unsupported opset_version: 10 < 12) [ 20%] 2023-07-07T20:05:40.1294346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_celu_default SKIPPED [0.0013s] (Unsupported opset_version: 10 < 12) [ 20%] 2023-07-07T20:05:40.1295154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_clamp PASSED [0.0395s] [ 20%] 2023-07-07T20:05:40.1295959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn PASSED [0.0628s] [ 20%] 2023-07-07T20:05:40.1296726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0136s] [ 20%] 2023-07-07T20:05:40.1297497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0506s] [ 20%] 2023-07-07T20:05:40.1298280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.5986s] [ 20%] 2023-07-07T20:05:40.1299047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_tbc PASSED [0.0236s] [ 20%] 2023-07-07T20:05:40.1299810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_conv_transpose PASSED [0.3122s] [ 20%] 2023-07-07T20:05:40.1300596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_convolution_allow_tf32 PASSED [0.0300s] [ 20%] 2023-07-07T20:05:40.1301423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1302315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_copy_ellipsis_script SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1303256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_copy_tracing SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1304082Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cosine_similarity PASSED [0.0144s] [ 20%] 2023-07-07T20:05:40.1304831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cross PASSED [0.0393s] [ 20%] 2023-07-07T20:05:40.1305653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cste_script PASSED [0.0242s] [ 20%] 2023-07-07T20:05:40.1306469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_cumsum SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1307277Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dequantize PASSED [0.0122s] [ 20%] 2023-07-07T20:05:40.1308157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_derive_index_scripting SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1309034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dict_str SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1309835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dim PASSED [0.0158s] [ 20%] 2023-07-07T20:05:40.1310643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dist_normal SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1311594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dist_normal_correctness SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1312416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_div PASSED [0.0200s] [ 20%] 2023-07-07T20:05:40.1313229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dropout_training_zero SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 20%] 2023-07-07T20:05:40.1314049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dtype PASSED [0.0090s] [ 20%] 2023-07-07T20:05:40.1314898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_out PASSED [0.0141s] [ 20%] 2023-07-07T20:05:40.1315723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1316488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_expand_as SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1317076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 20%] 2023-07-07T20:05:40.1317692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1318315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_embedding_module PASSED [0.0405s] [ 20%] 2023-07-07T20:05:40.1318885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_activation SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 20%] 2023-07-07T20:05:40.1319442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_flatten2d_neg PASSED [0.0164s] [ 20%] 2023-07-07T20:05:40.1319969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floating_point PASSED [0.0280s] [ 20%] 2023-07-07T20:05:40.1320531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floating_point_infer_dtype SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1321153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floor_div SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 20%] 2023-07-07T20:05:40.1321817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 20%] 2023-07-07T20:05:40.1322447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_floordiv SKIPPED [0.0004s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 20%] 2023-07-07T20:05:40.1322986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fmod PASSED [0.0097s] [ 20%] 2023-07-07T20:05:40.1323483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar PASSED [0.0102s] [ 20%] 2023-07-07T20:05:40.1324020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_full_like PASSED [0.0101s] [ 20%] 2023-07-07T20:05:40.1324658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_full_trace PASSED [0.0117s] [ 20%] 2023-07-07T20:05:40.1325150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fuse_addmm PASSED [0.0103s] [ 20%] 2023-07-07T20:05:40.1325654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0248s] [ 20%] 2023-07-07T20:05:40.1326153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gather PASSED [0.0160s] [ 20%] 2023-07-07T20:05:40.1326650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gelu PASSED [0.0129s] [ 20%] 2023-07-07T20:05:40.1327141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_glu PASSED [0.0113s] [ 20%] 2023-07-07T20:05:40.1327703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 20%] 2023-07-07T20:05:40.1328368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 20%] 2023-07-07T20:05:40.1329097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 20%] 2023-07-07T20:05:40.1329751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 20%] 2023-07-07T20:05:40.1330438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 20%] 2023-07-07T20:05:40.1331075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 20%] 2023-07-07T20:05:40.1331652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.1116s] [ 20%] 2023-07-07T20:05:40.1332206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine PASSED [0.1163s] [ 20%] 2023-07-07T20:05:40.1332718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias PASSED [0.1744s] [ 20%] 2023-07-07T20:05:40.1333251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0080s] [ 20%] 2023-07-07T20:05:40.1333804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 20%] 2023-07-07T20:05:40.1334376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic PASSED [0.0174s] [ 20%] 2023-07-07T20:05:40.1334940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype PASSED [0.0102s] [ 20%] 2023-07-07T20:05:40.1335454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hardtanh PASSED [0.0077s] [ 20%] 2023-07-07T20:05:40.1335978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values PASSED [0.0081s] [ 20%] 2023-07-07T20:05:40.1336511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.1723s] [ 20%] 2023-07-07T20:05:40.1337068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_if_transpose SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1337604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_1d PASSED [0.0111s] [ 20%] 2023-07-07T20:05:40.1338110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice PASSED [0.0139s] [ 20%] 2023-07-07T20:05:40.1338613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice PASSED [0.0148s] [ 20%] 2023-07-07T20:05:40.1339135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ PASSED [0.0130s] [ 20%] 2023-07-07T20:05:40.1339694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_dynamic_axes PASSED [0.0155s] [ 20%] 2023-07-07T20:05:40.1340210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_if PASSED [0.0157s] [ 20%] 2023-07-07T20:05:40.1340716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop PASSED [0.0281s] [ 20%] 2023-07-07T20:05:40.1341241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal PASSED [0.0367s] [ 20%] 2023-07-07T20:05:40.1341749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_mask PASSED [0.0242s] [ 20%] 2023-07-07T20:05:40.1342294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1342915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_accumulate SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:05:40.1343507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1344075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_if SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1344650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2 SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1345262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1345848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1346462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1347032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_index_select_scaler_index PASSED [0.0118s] [ 21%] 2023-07-07T20:05:40.1347561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic PASSED [0.0102s] [ 21%] 2023-07-07T20:05:40.1348095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0191s] [ 21%] 2023-07-07T20:05:40.1348662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_with_loop SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1349217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill PASSED [0.0188s] [ 21%] 2023-07-07T20:05:40.1349709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_list PASSED [0.0214s] [ 21%] 2023-07-07T20:05:40.1350242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero PASSED [0.0182s] [ 21%] 2023-07-07T20:05:40.1350795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1351365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.2776s] [ 21%] 2023-07-07T20:05:40.1351938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats PASSED [0.3355s] [ 21%] 2023-07-07T20:05:40.1352486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.4188s] [ 21%] 2023-07-07T20:05:40.1353026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample PASSED [0.1494s] [ 21%] 2023-07-07T20:05:40.1353629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1354193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample PASSED [0.1493s] [ 21%] 2023-07-07T20:05:40.1354783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_isnan PASSED [0.0093s] [ 21%] 2023-07-07T20:05:40.1355280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0179s] [ 21%] 2023-07-07T20:05:40.1355774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0171s] [ 21%] 2023-07-07T20:05:40.1356300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_le PASSED [0.0712s] [ 21%] 2023-07-07T20:05:40.1356782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_len_list PASSED [0.0090s] [ 21%] 2023-07-07T20:05:40.1357272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lerp PASSED [0.1292s] [ 21%] 2023-07-07T20:05:40.1357768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0449s] [ 21%] 2023-07-07T20:05:40.1358276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm PASSED [0.1203s] [ 21%] 2023-07-07T20:05:40.1358792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm PASSED [0.1649s] [ 21%] 2023-07-07T20:05:40.1359289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_linspace PASSED [0.0172s] [ 21%] 2023-07-07T20:05:40.1359835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_append SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1360430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 21%] 2023-07-07T20:05:40.1361062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested SKIPPED [0.0010s] (Unsupported opset_version: 10 < 13) [ 21%] 2023-07-07T20:05:40.1361643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_del SKIPPED [0.0010s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1362206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 21%] 2023-07-07T20:05:40.1362804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 21%] 2023-07-07T20:05:40.1363375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_pop SKIPPED [0.0010s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1363939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_set SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1364668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted PASSED [0.0226s] [ 21%] 2023-07-07T20:05:40.1365169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_log10 PASSED [0.0102s] [ 21%] 2023-07-07T20:05:40.1365666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_logical_and PASSED [0.0346s] [ 21%] 2023-07-07T20:05:40.1366157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_logit PASSED [0.0446s] [ 21%] 2023-07-07T20:05:40.1377561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dtype PASSED [0.0127s] [ 21%] 2023-07-07T20:05:40.1378264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1378864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1379421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0302s] [ 21%] 2023-07-07T20:05:40.1379934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm PASSED [0.0755s] [ 21%] 2023-07-07T20:05:40.1380453Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell PASSED [0.0606s] [ 21%] 2023-07-07T20:05:40.1380966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.2335s] [ 21%] 2023-07-07T20:05:40.1381505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state PASSED [0.0714s] [ 21%] 2023-07-07T20:05:40.1382046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state PASSED [0.0808s] [ 21%] 2023-07-07T20:05:40.1382577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lt PASSED [0.0331s] [ 21%] 2023-07-07T20:05:40.1383132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_lt_scalar PASSED [0.0176s] [ 21%] 2023-07-07T20:05:40.1383684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_masked_scatter SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1384231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_matmul PASSED [0.0176s] [ 21%] 2023-07-07T20:05:40.1384774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_max_int PASSED [0.0440s] [ 21%] 2023-07-07T20:05:40.1385329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1385581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0095s] [ 21%] 2023-07-07T20:05:40.1385875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0094s] [ 21%] 2023-07-07T20:05:40.1386112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d PASSED [0.0085s] [ 21%] 2023-07-07T20:05:40.1386394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0124s] [ 21%] 2023-07-07T20:05:40.1386649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_meshgrid_scalar PASSED [0.0200s] [ 21%] 2023-07-07T20:05:40.1386896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_min_int PASSED [0.0441s] [ 21%] 2023-07-07T20:05:40.1387247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1387566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0008s] (Unsupported opset_version: 10 < 15) [ 21%] 2023-07-07T20:05:40.1387829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_mod_with_low_precision PASSED [0.0492s] [ 21%] 2023-07-07T20:05:40.1388076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_moveaxis PASSED [0.0167s] [ 21%] 2023-07-07T20:05:40.1388338Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.1760s] [ 21%] 2023-07-07T20:05:40.1388605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_narrow PASSED [0.0118s] [ 21%] 2023-07-07T20:05:40.1388863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0509s] [ 21%] 2023-07-07T20:05:40.1389188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0112s] [ 21%] 2023-07-07T20:05:40.1389619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1390081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1390551Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1391061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1391515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1391982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1392452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nms SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1392916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1393303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_norm_with_dtype PASSED [0.0115s] [ 21%] 2023-07-07T20:05:40.1393681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_normalize PASSED [0.0141s] [ 21%] 2023-07-07T20:05:40.1394186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 21%] 2023-07-07T20:05:40.1394739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 21%] 2023-07-07T20:05:40.1395221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 21%] 2023-07-07T20:05:40.1395697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 21%] 2023-07-07T20:05:40.1396173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 21%] 2023-07-07T20:05:40.1396615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_pad_circular SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1397004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_pixel_shuffle PASSED [0.0250s] [ 21%] 2023-07-07T20:05:40.1397386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_pixel_unshuffle PASSED [0.0267s] [ 21%] 2023-07-07T20:05:40.1397762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_prelu PASSED [0.0105s] [ 21%] 2023-07-07T20:05:40.1398182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_prelu_scalar PASSED [0.0066s] [ 21%] 2023-07-07T20:05:40.1398620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_prim_min SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 21%] 2023-07-07T20:05:40.1399018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_integer PASSED [0.0093s] [ 21%] 2023-07-07T20:05:40.1399482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 21%] 2023-07-07T20:05:40.1399875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d PASSED [0.0257s] [ 21%] 2023-07-07T20:05:40.1400335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 21%] 2023-07-07T20:05:40.1400777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d PASSED [0.0121s] [ 21%] 2023-07-07T20:05:40.1401286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1401686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0414s] [ 21%] 2023-07-07T20:05:40.1402077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d PASSED [0.0407s] [ 21%] 2023-07-07T20:05:40.1402507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d_relu PASSED [0.0402s] [ 21%] 2023-07-07T20:05:40.1402922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d PASSED [0.0705s] [ 21%] 2023-07-07T20:05:40.1403305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten PASSED [0.0194s] [ 21%] 2023-07-07T20:05:40.1403786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1404274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1405037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1405525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1406009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1406566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1407033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1407508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1407911Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rand PASSED [0.0131s] [ 21%] 2023-07-07T20:05:40.1408311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rand_dynamic_size PASSED [0.0118s] [ 21%] 2023-07-07T20:05:40.1408706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_randn_dynamic_size PASSED [0.0120s] [ 21%] 2023-07-07T20:05:40.1409141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0126s] [ 21%] 2023-07-07T20:05:40.1409525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0186s] [ 21%] 2023-07-07T20:05:40.1409912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum PASSED [0.0708s] [ 21%] 2023-07-07T20:05:40.1410288Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0197s] [ 21%] 2023-07-07T20:05:40.1410679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0132s] [ 21%] 2023-07-07T20:05:40.1411093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0080s] [ 21%] 2023-07-07T20:05:40.1411507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0227s] [ 21%] 2023-07-07T20:05:40.1411931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop PASSED [0.0155s] [ 21%] 2023-07-07T20:05:40.1412778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 21%] 2023-07-07T20:05:40.1413409Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1414126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 21%] 2023-07-07T20:05:40.1422023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1422424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1422821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 21%] 2023-07-07T20:05:40.1423264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) 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[ 22%] 2023-07-07T20:05:40.1470258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1470637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1471021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 22%] 2023-07-07T20:05:40.1475665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1476046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1476473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1476896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1477294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1477582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1477969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned SKIPPED [0.0008s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 22%] 2023-07-07T20:05:40.1478331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_roi_pool SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 22%] 2023-07-07T20:05:40.1478572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_roll PASSED [0.0542s] [ 22%] 2023-07-07T20:05:40.1478849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_round SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1479127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0096s] [ 22%] 2023-07-07T20:05:40.1479376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0157s] [ 22%] 2023-07-07T20:05:40.1479619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter PASSED [0.0352s] [ 22%] 2023-07-07T20:05:40.1479931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 22%] 2023-07-07T20:05:40.1480272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 22%] 2023-07-07T20:05:40.1480609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 22%] 2023-07-07T20:05:40.1480913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 22%] 2023-07-07T20:05:40.1481199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 22%] 2023-07-07T20:05:40.1481480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar PASSED [0.0115s] [ 22%] 2023-07-07T20:05:40.1481760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0109s] [ 22%] 2023-07-07T20:05:40.1482054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1482369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1482647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1482921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_set_ PASSED [0.0164s] [ 22%] 2023-07-07T20:05:40.1483197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5 SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1483438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_size PASSED [0.0351s] [ 22%] 2023-07-07T20:05:40.1483685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0203s] [ 22%] 2023-07-07T20:05:40.1483981Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size SKIPPED [0.0010s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1484255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_softmax PASSED 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[ 22%] 2023-07-07T20:05:40.1485492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_split_size_with_slice SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1485757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0008s] [ 22%] 2023-07-07T20:05:40.1486082Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar SKIPPED [0.0008s] (Skip verify test for TorchScript. dynamic split support added in 11) [ 22%] 2023-07-07T20:05:40.1486327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0101s] [ 22%] 2023-07-07T20:05:40.1486566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0079s] [ 22%] 2023-07-07T20:05:40.1486911Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1487175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0077s] [ 22%] 2023-07-07T20:05:40.1487456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1487747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0078s] [ 22%] 2023-07-07T20:05:40.1487987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stack PASSED [0.0111s] [ 22%] 2023-07-07T20:05:40.1488235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0273s] [ 22%] 2023-07-07T20:05:40.1488528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0161s] [ 22%] 2023-07-07T20:05:40.1488775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0370s] [ 22%] 2023-07-07T20:05:40.1489032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0150s] [ 22%] 2023-07-07T20:05:40.1489317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1489607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1489933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1490228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0007s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1490520Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1490816Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_same_size SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1491118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1491407Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1491703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0009s] (Unsupported opset_version: 10 < 17) [ 22%] 2023-07-07T20:05:40.1491938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_sum PASSED [0.0094s] [ 22%] 2023-07-07T20:05:40.1492230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0516s] [ 22%] 2023-07-07T20:05:40.1492500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange PASSED [0.0780s] [ 22%] 2023-07-07T20:05:40.1492765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0379s] [ 22%] 2023-07-07T20:05:40.1493093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1493339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0143s] [ 22%] 2023-07-07T20:05:40.1493607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing PASSED [0.0706s] [ 22%] 2023-07-07T20:05:40.1493927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0182s] [ 22%] 2023-07-07T20:05:40.1494363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1494818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1495248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1495728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 22%] 2023-07-07T20:05:40.1496102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0126s] [ 22%] 2023-07-07T20:05:40.1496477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0094s] [ 22%] 2023-07-07T20:05:40.1496849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0098s] [ 22%] 2023-07-07T20:05:40.1497227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0172s] [ 22%] 2023-07-07T20:05:40.1497623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0209s] [ 22%] 2023-07-07T20:05:40.1498044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_triu SKIPPED [0.0009s] (Unsupported opset_version: 10 < 14) [ 22%] 2023-07-07T20:05:40.1498424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0090s] [ 22%] 2023-07-07T20:05:40.1498868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 22%] 2023-07-07T20:05:40.1499809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1500171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unfold PASSED [0.0137s] [ 22%] 2023-07-07T20:05:40.1500634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 22%] 2023-07-07T20:05:40.1501025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0429s] [ 22%] 2023-07-07T20:05:40.1501462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_uninitialized SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1501947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1502414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 10 < 14) [ 22%] 2023-07-07T20:05:40.1502849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1503228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims PASSED [0.0279s] [ 22%] 2023-07-07T20:05:40.1503670Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0259s] [ 22%] 2023-07-07T20:05:40.1504054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims PASSED [0.0278s] [ 22%] 2023-07-07T20:05:40.1504438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0273s] [ 22%] 2023-07-07T20:05:40.1504818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0346s] [ 22%] 2023-07-07T20:05:40.1505188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_view_as PASSED [0.0093s] [ 22%] 2023-07-07T20:05:40.1505580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim PASSED [0.0126s] [ 22%] 2023-07-07T20:05:40.1505946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where PASSED [0.0091s] [ 22%] 2023-07-07T20:05:40.1506383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where_condition SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1506775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor PASSED [0.0478s] [ 22%] 2023-07-07T20:05:40.1507203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor PASSED [0.0108s] [ 22%] 2023-07-07T20:05:40.1507611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.0922s] [ 22%] 2023-07-07T20:05:40.1507981Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_MSELoss PASSED [0.0290s] [ 22%] 2023-07-07T20:05:40.1508373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_all PASSED [0.0335s] [ 22%] 2023-07-07T20:05:40.1508851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script SKIPPED [0.0009s] (Unsupported opset_version: 10 < 15) [ 22%] 2023-07-07T20:05:40.1509234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0436s] [ 22%] 2023-07-07T20:05:40.1509644Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_end PASSED [0.0310s] [ 22%] 2023-07-07T20:05:40.1510086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_end_notype SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1510521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_out SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1510910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_out PASSED [0.0534s] [ 22%] 2023-07-07T20:05:40.1511293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax PASSED [0.0220s] [ 22%] 2023-07-07T20:05:40.1511687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0497s] [ 22%] 2023-07-07T20:05:40.1512108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision PASSED [0.2113s] [ 22%] 2023-07-07T20:05:40.1512498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0604s] [ 22%] 2023-07-07T20:05:40.1512887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0654s] [ 22%] 2023-07-07T20:05:40.1513323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_as_strided SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 22%] 2023-07-07T20:05:40.1517170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1518163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1518996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.1519214Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1520118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.1520325Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.1520449Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.1520462Z 2023-07-07T20:05:40.1520666Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.1520844Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.1521216Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1521870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.1522066Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.1522215Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.1522365Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.1522372Z 2023-07-07T20:05:40.1522460Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.1522609Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.1522755Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.1522891Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.1522897Z 2023-07-07T20:05:40.1523043Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.1523189Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.1523333Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.1523487Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.1523493Z 2023-07-07T20:05:40.1523499Z 2023-07-07T20:05:40.1523641Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.1523781Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.1523925Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.1524062Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.1524080Z 2023-07-07T20:05:40.1524214Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.1524354Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.1524657Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.1524814Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.1524888Z 2023-07-07T20:05:40.1524974Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.1525122Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.1525270Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.1525519Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1526164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1526703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.1526855Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1527448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.1527587Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.1527671Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.1527676Z 2023-07-07T20:05:40.1527811Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.1527943Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.1528190Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1528489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0148s] [ 22%] 2023-07-07T20:05:40.1528827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0147s] [ 22%] 2023-07-07T20:05:40.1529078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0143s] [ 22%] 2023-07-07T20:05:40.1529334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0123s] [ 22%] 2023-07-07T20:05:40.1529625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batched_nms SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1529885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0238s] [ 22%] 2023-07-07T20:05:40.1530158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0489s] [ 22%] 2023-07-07T20:05:40.1530408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d PASSED [0.0183s] [ 22%] 2023-07-07T20:05:40.1530658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d PASSED [0.1815s] [ 22%] 2023-07-07T20:05:40.1530919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_training PASSED [0.1994s] [ 22%] 2023-07-07T20:05:40.1531194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p PASSED [0.0711s] [ 22%] 2023-07-07T20:05:40.1531506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits SKIPPED [0.0014s] (Unsupported opset_version: 10 < 12) [ 22%] 2023-07-07T20:05:40.1531751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bitshift PASSED [0.0286s] [ 22%] 2023-07-07T20:05:40.1532066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8 SKIPPED [0.0015s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1532314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_bucketize PASSED [0.0333s] [ 22%] 2023-07-07T20:05:40.1532546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cast_to PASSED [0.0127s] [ 22%] 2023-07-07T20:05:40.1532874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 SKIPPED [0.0015s] (Unsupported opset_version: 10 < 13) [ 22%] 2023-07-07T20:05:40.1533153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_celu_alpha SKIPPED [0.0013s] (Unsupported opset_version: 10 < 12) [ 22%] 2023-07-07T20:05:40.1533436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_celu_cast SKIPPED [0.0012s] (Unsupported opset_version: 10 < 12) [ 22%] 2023-07-07T20:05:40.1533725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_celu_default SKIPPED [0.0012s] (Unsupported opset_version: 10 < 12) [ 22%] 2023-07-07T20:05:40.1534000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_clamp_dyn PASSED [0.0687s] [ 22%] 2023-07-07T20:05:40.1534247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_clip_int PASSED [0.0158s] [ 22%] 2023-07-07T20:05:40.1534496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_concat PASSED [0.0138s] [ 22%] 2023-07-07T20:05:40.1534750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_constant_pad PASSED [0.0165s] [ 22%] 2023-07-07T20:05:40.1535030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_copy_ SKIPPED [0.0015s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1535318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing SKIPPED [0.0013s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1535577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cosine_similarity PASSED [0.0182s] [ 22%] 2023-07-07T20:05:40.1535873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_crossentropyloss SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 22%] 2023-07-07T20:05:40.1536119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cste_script PASSED [0.0277s] [ 22%] 2023-07-07T20:05:40.1536384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_cumsum SKIPPED [0.0015s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1536706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_derive_index SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1537009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_derive_index_scripting SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1537307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_det SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1537592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dict_output SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1537877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dict_str SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1538155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dim PASSED [0.0169s] [ 22%] 2023-07-07T20:05:40.1538431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dim_1 SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 22%] 2023-07-07T20:05:40.1538717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dist_normal SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1539021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 22%] 2023-07-07T20:05:40.1539310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_div_rounding_mode PASSED [0.2195s] [ 22%] 2023-07-07T20:05:40.1539557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dropout PASSED [0.0141s] [ 22%] 2023-07-07T20:05:40.1539851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dropout_training SKIPPED [0.0014s] (Unsupported opset_version: 10 < 12) [ 23%] 2023-07-07T20:05:40.1540150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dropout_training_zero SKIPPED [0.0012s] (Unsupported opset_version: 10 < 12) [ 23%] 2023-07-07T20:05:40.1540391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dtype PASSED [0.0115s] [ 23%] 2023-07-07T20:05:40.1540628Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dtype_eq PASSED [0.0098s] [ 23%] 2023-07-07T20:05:40.1540915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk SKIPPED [0.0014s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1541217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave SKIPPED [0.0013s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1541534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1541873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights SKIPPED [0.0016s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1542298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 23%] 2023-07-07T20:05:40.1542598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_eq SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1542840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_expand PASSED [0.0443s] [ 23%] 2023-07-07T20:05:40.1543081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_eye PASSED [0.0302s] [ 23%] 2023-07-07T20:05:40.1543411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_activation SKIPPED [0.0010s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1543709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_channel SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1543952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fill PASSED [0.0310s] [ 23%] 2023-07-07T20:05:40.1544196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_flatten PASSED [0.0393s] [ 23%] 2023-07-07T20:05:40.1544444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_flatten2d PASSED [0.0128s] [ 23%] 2023-07-07T20:05:40.1544709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg PASSED [0.0244s] [ 23%] 2023-07-07T20:05:40.1545010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_floating_point_infer_dtype SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1545321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_floor_div SKIPPED [0.0002s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 23%] 2023-07-07T20:05:40.1545633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 23%] 2023-07-07T20:05:40.1545884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fmod_scalar PASSED [0.0109s] [ 23%] 2023-07-07T20:05:40.1546128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_like PASSED [0.0098s] [ 23%] 2023-07-07T20:05:40.1546376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_like_value PASSED [0.0188s] [ 23%] 2023-07-07T20:05:40.1546622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_script PASSED [0.0110s] [ 23%] 2023-07-07T20:05:40.1546864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_full_trace PASSED [0.0105s] [ 23%] 2023-07-07T20:05:40.1547142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn2d PASSED [0.0292s] [ 23%] 2023-07-07T20:05:40.1547390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn3d PASSED [0.0557s] [ 23%] 2023-07-07T20:05:40.1547625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_ge PASSED [0.0639s] [ 23%] 2023-07-07T20:05:40.1547899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_ge_scalar PASSED [0.0277s] [ 23%] 2023-07-07T20:05:40.1548179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_getitem SKIPPED [0.0014s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1548505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0013s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1548864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0012s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1549196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0012s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1549531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0012s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1549891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1550225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0012s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1550553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1550804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_groupnorm PASSED [0.1547s] [ 23%] 2023-07-07T20:05:40.1551063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_groupnorm_noaffine PASSED [0.1664s] [ 23%] 2023-07-07T20:05:40.1551313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_gt_primitive PASSED [0.0117s] [ 23%] 2023-07-07T20:05:40.1551554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_gt_scalar PASSED [0.0261s] [ 23%] 2023-07-07T20:05:40.1551860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hann_window_default_values SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1552121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hann_window_not_periodic PASSED [0.0249s] [ 23%] 2023-07-07T20:05:40.1552408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hann_window_periodic PASSED [0.0237s] [ 23%] 2023-07-07T20:05:40.1552659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hardshrink PASSED [0.0402s] [ 23%] 2023-07-07T20:05:40.1552913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hardshrink_dtype PASSED [0.0150s] [ 23%] 2023-07-07T20:05:40.1553173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_hardtanh PASSED [0.0109s] [ 23%] 2023-07-07T20:05:40.1553435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints PASSED [0.1953s] [ 23%] 2023-07-07T20:05:40.1553679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_if_fold PASSED [0.2646s] [ 23%] 2023-07-07T20:05:40.1554022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_if_transpose SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1554301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_if_view SKIPPED [0.0010s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1554545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_1d PASSED [0.0103s] [ 23%] 2023-07-07T20:05:40.1554888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_dim_size_differ PASSED [0.0126s] [ 23%] 2023-07-07T20:05:40.1555152Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0151s] [ 23%] 2023-07-07T20:05:40.1555446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_if PASSED [0.0166s] [ 23%] 2023-07-07T20:05:40.1555699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop PASSED [0.0273s] [ 23%] 2023-07-07T20:05:40.1555953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_add_normal PASSED [0.0354s] [ 23%] 2023-07-07T20:05:40.1556202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_copy PASSED [0.0148s] [ 23%] 2023-07-07T20:05:40.1556435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_fill PASSED [0.0177s] [ 23%] 2023-07-07T20:05:40.1556738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_accumulate SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1557022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1557309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_3 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1557591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5 SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1557917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_loop SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1558214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_slice_index SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1558541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1558809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half PASSED [0.0202s] [ 23%] 2023-07-07T20:05:40.1559112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1559437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1559687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_fill PASSED [0.0196s] [ 23%] 2023-07-07T20:05:40.1559989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop SKIPPED [0.0009s] (Unsupported opset_version: 10 < 14) [ 23%] 2023-07-07T20:05:40.1560241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop_2 PASSED [0.2001s] [ 23%] 2023-07-07T20:05:40.1560561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero_qkv SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1560849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1561108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats PASSED [0.2381s] [ 23%] 2023-07-07T20:05:40.1561378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer PASSED [0.3502s] [ 23%] 2023-07-07T20:05:40.1561641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_instancenorm_training PASSED [0.2297s] [ 23%] 2023-07-07T20:05:40.1561969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1562266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1562558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_no_shape SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1562860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0008s] (Unsupported opset_version: 10 > 8) [ 23%] 2023-07-07T20:05:40.1563138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_isfinite PASSED [0.0113s] [ 23%] 2023-07-07T20:05:40.1563384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_isnan PASSED [0.0087s] [ 23%] 2023-07-07T20:05:40.1563625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_item PASSED [0.0146s] [ 23%] 2023-07-07T20:05:40.1563900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss PASSED [0.5774s] [ 23%] 2023-07-07T20:05:40.1564141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_l1_norm PASSED [0.0184s] [ 23%] 2023-07-07T20:05:40.1564506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_l2_norm PASSED [0.0169s] [ 23%] 2023-07-07T20:05:40.1564815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_layer_norm PASSED [0.0193s] [ 23%] 2023-07-07T20:05:40.1565062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0212s] [ 23%] 2023-07-07T20:05:40.1565336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_len SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1565582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_len_list PASSED [0.0086s] [ 23%] 2023-07-07T20:05:40.1565823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lerp PASSED [0.1291s] [ 23%] 2023-07-07T20:05:40.1566107Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0416s] [ 23%] 2023-07-07T20:05:40.1566404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero SKIPPED [0.0010s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1566646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linear PASSED [0.0317s] [ 23%] 2023-07-07T20:05:40.1566908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start PASSED [0.0167s] [ 23%] 2023-07-07T20:05:40.1567187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1567479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1567771Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1568078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_nested_block SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1568368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1568682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_2 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 14) [ 23%] 2023-07-07T20:05:40.1568973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_del_in_block SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1569293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_del_nested SKIPPED [0.0010s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1569536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_pass PASSED [0.0994s] [ 23%] 2023-07-07T20:05:40.1569817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_pop SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1570134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_pop_nested SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1570398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted PASSED [0.0222s] [ 23%] 2023-07-07T20:05:40.1570642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_log PASSED [0.0085s] [ 23%] 2023-07-07T20:05:40.1570881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_log10 PASSED [0.0099s] [ 23%] 2023-07-07T20:05:40.1571121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_log2 PASSED [0.0099s] [ 23%] 2023-07-07T20:05:40.1571428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logdet SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1571676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logical_and PASSED [0.0345s] [ 23%] 2023-07-07T20:05:40.1571921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logical_not PASSED [0.0309s] [ 23%] 2023-07-07T20:05:40.1572158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logit PASSED [0.0436s] [ 23%] 2023-07-07T20:05:40.1572399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dim PASSED [0.0514s] [ 23%] 2023-07-07T20:05:40.1572655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_logsoftmax_dtype PASSED [0.0119s] [ 23%] 2023-07-07T20:05:40.1572903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_dynamic PASSED [0.0519s] [ 23%] 2023-07-07T20:05:40.1573150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0618s] [ 23%] 2023-07-07T20:05:40.1573435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_transpose SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1573745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1573991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_cell PASSED [0.0607s] [ 23%] 2023-07-07T20:05:40.1574251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding PASSED [0.2292s] [ 23%] 2023-07-07T20:05:40.1574535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size PASSED [0.0783s] [ 23%] 2023-07-07T20:05:40.1574786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden PASSED [0.0832s] [ 23%] 2023-07-07T20:05:40.1575043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden PASSED [0.0478s] [ 23%] 2023-07-07T20:05:40.1575328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lstm_sequence PASSED [0.1845s] [ 23%] 2023-07-07T20:05:40.1575565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_lt PASSED [0.0341s] [ 23%] 2023-07-07T20:05:40.1575801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0222s] [ 23%] 2023-07-07T20:05:40.1576057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_fill_inplace PASSED [0.0186s] [ 23%] 2023-07-07T20:05:40.1576344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1576657Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_masked_select SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1576906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch PASSED [0.0169s] [ 23%] 2023-07-07T20:05:40.1577145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_max_int PASSED [0.0442s] [ 23%] 2023-07-07T20:05:40.1577393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0099s] [ 23%] 2023-07-07T20:05:40.1577641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_maxpool_1d_ceil PASSED [0.0092s] [ 23%] 2023-07-07T20:05:40.1577897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_meshgrid_scalar PASSED [0.0195s] [ 23%] 2023-07-07T20:05:40.1578140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_mish PASSED [0.0119s] [ 23%] 2023-07-07T20:05:40.1578456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1578768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0008s] (Unsupported opset_version: 10 < 15) [ 23%] 2023-07-07T20:05:40.1579058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_mod_with_low_precision PASSED [0.0541s] [ 23%] 2023-07-07T20:05:40.1579292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0236s] [ 23%] 2023-07-07T20:05:40.1579605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave SKIPPED [0.0010s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1579868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_mv PASSED [0.0163s] [ 23%] 2023-07-07T20:05:40.1580111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num PASSED [0.0573s] [ 23%] 2023-07-07T20:05:40.1580367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0502s] [ 23%] 2023-07-07T20:05:40.1580673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 23%] 2023-07-07T20:05:40.1580971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 23%] 2023-07-07T20:05:40.1581259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_none SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 23%] 2023-07-07T20:05:40.1581557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 23%] 2023-07-07T20:05:40.1581892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1582180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_nonzero SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1582431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0122s] [ 23%] 2023-07-07T20:05:40.1582677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_normalize PASSED [0.0143s] [ 23%] 2023-07-07T20:05:40.1582922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_ones_bool PASSED [0.0118s] [ 23%] 2023-07-07T20:05:40.1583220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0 SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1583525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 23%] 2023-07-07T20:05:40.1583826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1584123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_negative SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1584459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1584716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance PASSED [0.0107s] [ 23%] 2023-07-07T20:05:40.1584999Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.1616s] [ 23%] 2023-07-07T20:05:40.1585249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0258s] [ 23%] 2023-07-07T20:05:40.1585501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_pixel_unshuffle PASSED [0.0247s] [ 23%] 2023-07-07T20:05:40.1585763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0111s] [ 23%] 2023-07-07T20:05:40.1586083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 23%] 2023-07-07T20:05:40.1586381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 23%] 2023-07-07T20:05:40.1586633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor PASSED [0.0135s] [ 23%] 2023-07-07T20:05:40.1586900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d PASSED [0.0102s] [ 23%] 2023-07-07T20:05:40.1587184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0350s] [ 23%] 2023-07-07T20:05:40.1587481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_shape SKIPPED [0.0014s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1587797Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1588123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1588384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0301s] [ 23%] 2023-07-07T20:05:40.1588636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d PASSED [0.0273s] [ 23%] 2023-07-07T20:05:40.1588893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0293s] [ 23%] 2023-07-07T20:05:40.1589148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d PASSED [0.0401s] [ 23%] 2023-07-07T20:05:40.1589402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0419s] [ 23%] 2023-07-07T20:05:40.1589694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d PASSED [0.0587s] [ 23%] 2023-07-07T20:05:40.1589952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_flatten PASSED [0.0159s] [ 23%] 2023-07-07T20:05:40.1590356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 23%] 2023-07-07T20:05:40.1590665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1590973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1591310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1591629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1591942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 23%] 2023-07-07T20:05:40.1592238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1592571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1592817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rand_dtype PASSED [0.0524s] [ 24%] 2023-07-07T20:05:40.1593059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rand_like PASSED [0.0218s] [ 24%] 2023-07-07T20:05:40.1593308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rand_like_dtype PASSED [0.0489s] [ 24%] 2023-07-07T20:05:40.1593575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_randn PASSED [0.0132s] [ 24%] 2023-07-07T20:05:40.1593955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0511s] [ 24%] 2023-07-07T20:05:40.1594339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0129s] [ 24%] 2023-07-07T20:05:40.1594793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0121s] [ 24%] 2023-07-07T20:05:40.1595169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0177s] [ 24%] 2023-07-07T20:05:40.1595606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes PASSED [0.0203s] [ 24%] 2023-07-07T20:05:40.1595995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad PASSED [0.0130s] [ 24%] 2023-07-07T20:05:40.1596361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_relu6 PASSED [0.0141s] [ 24%] 2023-07-07T20:05:40.1596788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_relu_int PASSED [0.0071s] [ 24%] 2023-07-07T20:05:40.1597178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar PASSED [0.0258s] [ 24%] 2023-07-07T20:05:40.1597542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_repeat PASSED [0.0164s] [ 24%] 2023-07-07T20:05:40.1597935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave PASSED [0.0784s] [ 24%] 2023-07-07T20:05:40.1598361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0151s] [ 24%] 2023-07-07T20:05:40.1598742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_replication_pad PASSED [0.0155s] [ 24%] 2023-07-07T20:05:40.1599495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 24%] 2023-07-07T20:05:40.1600117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1600759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1601374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1601995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1602621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1603246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1603854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0013s] (Skip verify test for TorchScript.) 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Conditioning on input type via prim::isinstance unsupported in ONNX) [ 24%] 2023-07-07T20:05:40.1652938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_roll PASSED [0.0547s] [ 24%] 2023-07-07T20:05:40.1653223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_round SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1653469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval PASSED [0.0080s] [ 24%] 2023-07-07T20:05:40.1653718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_rsqrt_zeros PASSED [0.0112s] [ 24%] 2023-07-07T20:05:40.1653959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.1812s] [ 24%] 2023-07-07T20:05:40.1654278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 24%] 2023-07-07T20:05:40.1654617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 24%] 2023-07-07T20:05:40.1654904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 24%] 2023-07-07T20:05:40.1655207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 24%] 2023-07-07T20:05:40.1655489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_scatter_with_scalar PASSED [0.0122s] [ 24%] 2023-07-07T20:05:40.1655788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 24%] 2023-07-07T20:05:40.1656107Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 24%] 2023-07-07T20:05:40.1656338Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_ PASSED [0.0164s] [ 24%] 2023-07-07T20:05:40.1656580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr PASSED [0.0167s] [ 24%] 2023-07-07T20:05:40.1656863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2 SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1657177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1657455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_4 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1657733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5 SKIPPED [0.0010s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1657986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0509s] [ 24%] 2023-07-07T20:05:40.1658265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0694s] [ 24%] 2023-07-07T20:05:40.1658525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_shape_constant_fold PASSED [0.0099s] [ 24%] 2023-07-07T20:05:40.1658770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_silu PASSED [0.0093s] [ 24%] 2023-07-07T20:05:40.1659059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1659312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large PASSED [0.0217s] [ 24%] 2023-07-07T20:05:40.1659563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_trace PASSED [0.0114s] [ 24%] 2023-07-07T20:05:40.1659851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1660096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softmax PASSED [0.1287s] [ 24%] 2023-07-07T20:05:40.1660350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softmax_large_values PASSED [0.0551s] [ 24%] 2023-07-07T20:05:40.1660626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softshrink PASSED [0.0308s] [ 24%] 2023-07-07T20:05:40.1660881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0111s] [ 24%] 2023-07-07T20:05:40.1661169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1661472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_split SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 24%] 2023-07-07T20:05:40.1661763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1662055Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1662323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_square PASSED [0.0089s] [ 24%] 2023-07-07T20:05:40.1662611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1662897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1663159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0082s] [ 24%] 2023-07-07T20:05:40.1663468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1663741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1663992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_std_correction PASSED [0.0159s] [ 24%] 2023-07-07T20:05:40.1664231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0320s] [ 24%] 2023-07-07T20:05:40.1664488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0280s] [ 24%] 2023-07-07T20:05:40.1664772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 10 < 17) [ 24%] 2023-07-07T20:05:40.1665062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 24%] 2023-07-07T20:05:40.1665349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 24%] 2023-07-07T20:05:40.1665637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 24%] 2023-07-07T20:05:40.1665969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 24%] 2023-07-07T20:05:40.1666275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 24%] 2023-07-07T20:05:40.1666603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0010s] (Unsupported opset_version: 10 < 17) [ 24%] 2023-07-07T20:05:40.1666913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1667218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 24%] 2023-07-07T20:05:40.1667522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes PASSED [0.0160s] [ 24%] 2023-07-07T20:05:40.1667788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0435s] [ 24%] 2023-07-07T20:05:40.1668096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 25%] 2023-07-07T20:05:40.1668329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0152s] [ 25%] 2023-07-07T20:05:40.1668575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0097s] [ 25%] 2023-07-07T20:05:40.1668867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script PASSED [0.0166s] [ 25%] 2023-07-07T20:05:40.1669164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1669410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_to_device PASSED [0.0200s] [ 25%] 2023-07-07T20:05:40.1669651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tolist PASSED [0.0073s] [ 25%] 2023-07-07T20:05:40.1669899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_topk_int32_k PASSED [0.0175s] [ 25%] 2023-07-07T20:05:40.1670197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted SKIPPED [0.0014s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1670467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_triu SKIPPED [0.0013s] (Unsupported opset_version: 10 < 14) [ 25%] 2023-07-07T20:05:40.1670715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_input PASSED [0.0118s] [ 25%] 2023-07-07T20:05:40.1671007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 25%] 2023-07-07T20:05:40.1671349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 25%] 2023-07-07T20:05:40.1671602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0106s] [ 25%] 2023-07-07T20:05:40.1671878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input PASSED [0.0116s] [ 25%] 2023-07-07T20:05:40.1672174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1672508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1672834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1673146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 14) [ 25%] 2023-07-07T20:05:40.1673458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape SKIPPED [0.0008s] (Unsupported opset_version: 10 < 14) [ 25%] 2023-07-07T20:05:40.1673734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unique SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1674051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 25%] 2023-07-07T20:05:40.1674348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 25%] 2023-07-07T20:05:40.1674760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 25%] 2023-07-07T20:05:40.1675002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_var PASSED [0.1801s] [ 25%] 2023-07-07T20:05:40.1675246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0248s] [ 25%] 2023-07-07T20:05:40.1675508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims PASSED [0.0352s] [ 25%] 2023-07-07T20:05:40.1675758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic PASSED [0.0189s] [ 25%] 2023-07-07T20:05:40.1676015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim PASSED [0.0123s] [ 25%] 2023-07-07T20:05:40.1676293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 25%] 2023-07-07T20:05:40.1676631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1676892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor PASSED [0.0488s] [ 25%] 2023-07-07T20:05:40.1677148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor PASSED [0.0108s] [ 25%] 2023-07-07T20:05:40.1677439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU PASSED [0.1388s] [ 25%] 2023-07-07T20:05:40.1677743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 25%] 2023-07-07T20:05:40.1678009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU PASSED [0.0917s] [ 25%] 2023-07-07T20:05:40.1678301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH PASSED [0.0920s] [ 25%] 2023-07-07T20:05:40.1678544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0091s] [ 25%] 2023-07-07T20:05:40.1678843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0068s] [ 25%] 2023-07-07T20:05:40.1679090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor PASSED [0.0068s] [ 25%] 2023-07-07T20:05:40.1679342Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic PASSED [0.0251s] [ 25%] 2023-07-07T20:05:40.1679663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1679952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_out SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1680192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0173s] [ 25%] 2023-07-07T20:05:40.1680493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1680788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1681048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out PASSED [0.0385s] [ 25%] 2023-07-07T20:05:40.1681314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override PASSED [0.0314s] [ 25%] 2023-07-07T20:05:40.1681563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax PASSED [0.0167s] [ 25%] 2023-07-07T20:05:40.1681868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1682149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic PASSED [0.0099s] [ 25%] 2023-07-07T20:05:40.1682426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision PASSED [0.1066s] [ 25%] 2023-07-07T20:05:40.1682711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0044s] [ 25%] 2023-07-07T20:05:40.1682968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool PASSED [0.0100s] [ 25%] 2023-07-07T20:05:40.1683227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0175s] [ 25%] 2023-07-07T20:05:40.1683509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_long PASSED [0.0164s] [ 25%] 2023-07-07T20:05:40.1683740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_as_strided PASSED [0.0298s] [ 25%] 2023-07-07T20:05:40.1684356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1685062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1685767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1686314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.1686461Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1687075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1687678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1688217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.1688360Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1688952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.1689106Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.1689254Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.1689402Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.1689413Z 2023-07-07T20:05:40.1689501Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.1689664Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.1689812Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.1689960Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.1689966Z 2023-07-07T20:05:40.1690111Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.1690256Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.1690399Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.1690588Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.1690594Z 2023-07-07T20:05:40.1690601Z 2023-07-07T20:05:40.1690742Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.1690885Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.1691017Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.1691165Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.1691170Z 2023-07-07T20:05:40.1691366Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.1691584Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.1691799Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.1692019Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.1692030Z 2023-07-07T20:05:40.1692155Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.1692368Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.1692604Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.1692989Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1693424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_auto_grad SKIPPED [0.0013s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1693804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0078s] [ 25%] 2023-07-07T20:05:40.1694184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0071s] [ 25%] 2023-07-07T20:05:40.1694641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0109s] [ 25%] 2023-07-07T20:05:40.1695096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0116s] [ 25%] 2023-07-07T20:05:40.1695545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0112s] [ 25%] 2023-07-07T20:05:40.1695993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0112s] [ 25%] 2023-07-07T20:05:40.1696474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0122s] [ 25%] 2023-07-07T20:05:40.1696871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0100s] [ 25%] 2023-07-07T20:05:40.1697241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_baddbmm PASSED [0.0087s] [ 25%] 2023-07-07T20:05:40.1697654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0070s] [ 25%] 2023-07-07T20:05:40.1698020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d PASSED [0.0126s] [ 25%] 2023-07-07T20:05:40.1698428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats PASSED [0.0228s] [ 25%] 2023-07-07T20:05:40.1698867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0145s] [ 25%] 2023-07-07T20:05:40.1699272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0208s] [ 25%] 2023-07-07T20:05:40.1699663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1106s] [ 25%] 2023-07-07T20:05:40.1700047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training PASSED [0.0571s] [ 25%] 2023-07-07T20:05:40.1700513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits SKIPPED [0.0010s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1700917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0141s] [ 25%] 2023-07-07T20:05:40.1701357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1701800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1702169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cast_to PASSED [0.0032s] [ 25%] 2023-07-07T20:05:40.1702587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_celu SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1703024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1703441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_celu_default SKIPPED [0.0010s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1703866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_chunk SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1704233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_clamp PASSED [0.0125s] [ 25%] 2023-07-07T20:05:40.1704639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_clip_int PASSED [0.0053s] [ 25%] 2023-07-07T20:05:40.1705008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_concat PASSED [0.0050s] [ 25%] 2023-07-07T20:05:40.1705442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1705845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0099s] [ 25%] 2023-07-07T20:05:40.1706227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.5110s] [ 25%] 2023-07-07T20:05:40.1706624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32 PASSED [0.0246s] [ 25%] 2023-07-07T20:05:40.1707097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis SKIPPED [0.0015s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1707547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script SKIPPED [0.0013s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1707934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cosine_similarity PASSED [0.0262s] [ 25%] 2023-07-07T20:05:40.1708298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cross PASSED [0.0337s] [ 25%] 2023-07-07T20:05:40.1708706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cste_script PASSED [0.0052s] [ 25%] 2023-07-07T20:05:40.1709136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast SKIPPED [0.0009s] (Unsupported 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SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1711580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1712009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1712432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0135s] [ 25%] 2023-07-07T20:05:40.1712825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0090s] [ 25%] 2023-07-07T20:05:40.1713184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dot PASSED [0.0078s] [ 25%] 2023-07-07T20:05:40.1713653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dropout_training SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1714100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1714469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_dtype PASSED [0.0030s] [ 25%] 2023-07-07T20:05:40.1714998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_einsum SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 25%] 2023-07-07T20:05:40.1715378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag PASSED [0.0866s] [ 25%] 2023-07-07T20:05:40.1715861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1716336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1716759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_module PASSED [0.0194s] [ 25%] 2023-07-07T20:05:40.1717204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1717608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_eq SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1717971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_eye PASSED [0.0237s] [ 25%] 2023-07-07T20:05:40.1718292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor PASSED [0.0076s] [ 25%] 2023-07-07T20:05:40.1718626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 25%] 2023-07-07T20:05:40.1718880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_flatten PASSED [0.0156s] [ 25%] 2023-07-07T20:05:40.1719132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg PASSED [0.0110s] [ 25%] 2023-07-07T20:05:40.1719370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_flip PASSED [0.0059s] [ 25%] 2023-07-07T20:05:40.1719671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1720013Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_floordiv SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 25%] 2023-07-07T20:05:40.1720258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar PASSED [0.0054s] [ 25%] 2023-07-07T20:05:40.1720534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0075s] [ 25%] 2023-07-07T20:05:40.1720779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_full_script PASSED [0.0033s] [ 25%] 2023-07-07T20:05:40.1721026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm PASSED [0.0048s] [ 25%] 2023-07-07T20:05:40.1721304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0122s] [ 25%] 2023-07-07T20:05:40.1721555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block PASSED [0.0095s] [ 25%] 2023-07-07T20:05:40.1721814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold PASSED [0.0244s] [ 25%] 2023-07-07T20:05:40.1722048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_ge PASSED [0.0158s] [ 25%] 2023-07-07T20:05:40.1722375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1722742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1723071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1723395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1723727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1724054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1724380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1724845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1725239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1725565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 25%] 2023-07-07T20:05:40.1725925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values PASSED [0.0126s] [ 25%] 2023-07-07T20:05:40.1727584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic PASSED [0.0136s] [ 25%] 2023-07-07T20:05:40.1727846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0034s] [ 25%] 2023-07-07T20:05:40.1728149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.1689s] [ 25%] 2023-07-07T20:05:40.1728396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_1d PASSED [0.0062s] [ 25%] 2023-07-07T20:05:40.1728653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_2d_neg_slice PASSED [0.0084s] [ 25%] 2023-07-07T20:05:40.1728897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes PASSED [0.0126s] [ 25%] 2023-07-07T20:05:40.1729145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_add_if PASSED [0.0038s] [ 25%] 2023-07-07T20:05:40.1729393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_copy PASSED [0.0112s] [ 25%] 2023-07-07T20:05:40.1729685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1729987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1730270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4 SKIPPED [0.0010s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1730583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5 SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1730881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_inplace_ops SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1731198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1731498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1731812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1732114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index PASSED [0.0065s] [ 25%] 2023-07-07T20:05:40.1732364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_inplace_list PASSED [0.0054s] [ 25%] 2023-07-07T20:05:40.1732653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1732937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_input_mask_model SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1733198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats PASSED [0.0278s] [ 25%] 2023-07-07T20:05:40.1733492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats PASSED [0.0435s] [ 25%] 2023-07-07T20:05:40.1733751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.1560s] [ 25%] 2023-07-07T20:05:40.1734026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer PASSED [0.1485s] [ 25%] 2023-07-07T20:05:40.1734296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error PASSED [0.0144s] [ 25%] 2023-07-07T20:05:40.1734580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution PASSED [0.0174s] [ 25%] 2023-07-07T20:05:40.1734876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1735169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 25%] 2023-07-07T20:05:40.1735471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0008s] (Unsupported opset_version: 10 > 8) [ 25%] 2023-07-07T20:05:40.1735744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_isfinite PASSED [0.0062s] [ 25%] 2023-07-07T20:05:40.1735991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_isnan PASSED [0.0042s] [ 26%] 2023-07-07T20:05:40.1736237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss PASSED [0.1133s] [ 26%] 2023-07-07T20:05:40.1736503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0072s] [ 26%] 2023-07-07T20:05:40.1736741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_le PASSED [0.0179s] [ 26%] 2023-07-07T20:05:40.1736973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_le_scalar PASSED [0.0096s] [ 26%] 2023-07-07T20:05:40.1737219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lerp PASSED [0.0460s] [ 26%] 2023-07-07T20:05:40.1737525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0340s] [ 26%] 2023-07-07T20:05:40.1737785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start PASSED [0.0126s] [ 26%] 2023-07-07T20:05:40.1738072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_append SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1738367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1738695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 26%] 2023-07-07T20:05:40.1738982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 26%] 2023-07-07T20:05:40.1739296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0050s] [ 26%] 2023-07-07T20:05:40.1739560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted PASSED [0.0086s] [ 26%] 2023-07-07T20:05:40.1739803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_log10 PASSED [0.0055s] [ 26%] 2023-07-07T20:05:40.1740049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_log1p PASSED [0.0049s] [ 26%] 2023-07-07T20:05:40.1740328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_logdet SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1740556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_logit PASSED [0.0388s] [ 26%] 2023-07-07T20:05:40.1740804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0203s] [ 26%] 2023-07-07T20:05:40.1741117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1741372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_loop_nested PASSED [0.0037s] [ 26%] 2023-07-07T20:05:40.1741656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1741932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple PASSED [0.0098s] [ 26%] 2023-07-07T20:05:40.1742177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0107s] [ 26%] 2023-07-07T20:05:40.1742418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm PASSED [0.0223s] [ 26%] 2023-07-07T20:05:40.1742713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.1212s] [ 26%] 2023-07-07T20:05:40.1742975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state PASSED [0.0267s] [ 26%] 2023-07-07T20:05:40.1743234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size PASSED [0.0277s] [ 26%] 2023-07-07T20:05:40.1743493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state PASSED [0.0296s] [ 26%] 2023-07-07T20:05:40.1743747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0110s] [ 26%] 2023-07-07T20:05:40.1744011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_masked_fill PASSED [0.0126s] [ 26%] 2023-07-07T20:05:40.1744265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace PASSED [0.0056s] [ 26%] 2023-07-07T20:05:40.1744553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_masked_select SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1744795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_matmul PASSED [0.0082s] [ 26%] 2023-07-07T20:05:40.1745041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch PASSED [0.0076s] [ 26%] 2023-07-07T20:05:40.1745291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_max_int PASSED [0.0074s] [ 26%] 2023-07-07T20:05:40.1745541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum PASSED [0.0049s] [ 26%] 2023-07-07T20:05:40.1745791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0148s] [ 26%] 2023-07-07T20:05:40.1746046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive PASSED [0.0073s] [ 26%] 2023-07-07T20:05:40.1746303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride PASSED [0.0085s] [ 26%] 2023-07-07T20:05:40.1746588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation PASSED [0.0067s] [ 26%] 2023-07-07T20:05:40.1746830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_min_int PASSED [0.0073s] [ 26%] 2023-07-07T20:05:40.1747161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0008s] (Unsupported opset_version: 10 < 15) [ 26%] 2023-07-07T20:05:40.1747395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_moveaxis PASSED [0.0163s] [ 26%] 2023-07-07T20:05:40.1747636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_mul_bool PASSED [0.0111s] [ 26%] 2023-07-07T20:05:40.1747954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 26%] 2023-07-07T20:05:40.1748220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_narrow PASSED [0.0060s] [ 26%] 2023-07-07T20:05:40.1748474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0060s] [ 26%] 2023-07-07T20:05:40.1748718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_empty PASSED [0.0241s] [ 26%] 2023-07-07T20:05:40.1748959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_full PASSED [0.0273s] [ 26%] 2023-07-07T20:05:40.1749246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_ones PASSED [0.0299s] [ 26%] 2023-07-07T20:05:40.1749492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_new_zeros PASSED [0.0245s] [ 26%] 2023-07-07T20:05:40.1749784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 26%] 2023-07-07T20:05:40.1750083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 26%] 2023-07-07T20:05:40.1750384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 26%] 2023-07-07T20:05:40.1750672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 26%] 2023-07-07T20:05:40.1750957Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 26%] 2023-07-07T20:05:40.1751220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_nms SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1751467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_normalize PASSED [0.0115s] [ 26%] 2023-07-07T20:05:40.1751734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_numel PASSED [0.0064s] [ 26%] 2023-07-07T20:05:40.1751982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_numel_empty PASSED [0.0059s] [ 26%] 2023-07-07T20:05:40.1752223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0115s] [ 26%] 2023-07-07T20:05:40.1752555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 26%] 2023-07-07T20:05:40.1752868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 26%] 2023-07-07T20:05:40.1753181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 26%] 2023-07-07T20:05:40.1753489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_outer SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 26%] 2023-07-07T20:05:40.1753778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pad_circular SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1754079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1754339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0090s] [ 26%] 2023-07-07T20:05:40.1754712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.1720s] [ 26%] 2023-07-07T20:05:40.1754971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle PASSED [0.0167s] [ 26%] 2023-07-07T20:05:40.1755199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_pow PASSED [0.0342s] [ 26%] 2023-07-07T20:05:40.1755477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_prim_min SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 26%] 2023-07-07T20:05:40.1755739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0053s] [ 26%] 2023-07-07T20:05:40.1756003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer PASSED [0.0046s] [ 26%] 2023-07-07T20:05:40.1756288Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0195s] [ 26%] 2023-07-07T20:05:40.1756565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0132s] [ 26%] 2023-07-07T20:05:40.1757061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1757450Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1757530Z PASSED [0.0207s] [ 26%] 2023-07-07T20:05:40.1757844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 26%] 2023-07-07T20:05:40.1758142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 26%] 2023-07-07T20:05:40.1758640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_maxpool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1759016Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1759094Z PASSED [0.0198s] [ 26%] 2023-07-07T20:05:40.1759371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_relu SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 26%] 2023-07-07T20:05:40.1759655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 26%] 2023-07-07T20:05:40.1760187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1760539Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1760615Z PASSED [0.0124s] [ 26%] 2023-07-07T20:05:40.1760883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape PASSED [0.0153s] [ 26%] 2023-07-07T20:05:40.1761158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point PASSED [0.0152s] [ 26%] 2023-07-07T20:05:40.1761455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0148s] [ 26%] 2023-07-07T20:05:40.1761708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d PASSED [0.0412s] [ 26%] 2023-07-07T20:05:40.1761969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d_relu PASSED [0.0410s] [ 26%] 2023-07-07T20:05:40.1762274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d PASSED [0.0376s] [ 26%] 2023-07-07T20:05:40.1762535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten PASSED [0.0149s] [ 26%] 2023-07-07T20:05:40.1762787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear PASSED [0.0305s] [ 26%] 2023-07-07T20:05:40.1763080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand PASSED [0.0161s] [ 26%] 2023-07-07T20:05:40.1763349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm PASSED [0.0228s] [ 26%] 2023-07-07T20:05:40.1763620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid PASSED [0.0137s] [ 26%] 2023-07-07T20:05:40.1763918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish PASSED [0.0159s] [ 26%] 2023-07-07T20:05:40.1764183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh PASSED [0.0134s] [ 26%] 2023-07-07T20:05:40.1764580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose PASSED [0.0115s] [ 26%] 2023-07-07T20:05:40.1764835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size PASSED [0.0110s] [ 26%] 2023-07-07T20:05:40.1765089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0094s] [ 26%] 2023-07-07T20:05:40.1765385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reciprocal PASSED [0.0102s] [ 26%] 2023-07-07T20:05:40.1765640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0074s] [ 26%] 2023-07-07T20:05:40.1765891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0096s] [ 26%] 2023-07-07T20:05:40.1766133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduced_prod PASSED [0.0260s] [ 26%] 2023-07-07T20:05:40.1766387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0096s] [ 26%] 2023-07-07T20:05:40.1766633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_relu6 PASSED [0.0057s] [ 26%] 2023-07-07T20:05:40.1766881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_remainder PASSED [0.0275s] [ 26%] 2023-07-07T20:05:40.1767120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0093s] [ 26%] 2023-07-07T20:05:40.1767382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold PASSED [0.0073s] [ 26%] 2023-07-07T20:05:40.1768002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1768386Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1768760Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1769103Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1769217Z PASSED [0.0526s] [ 26%] 2023-07-07T20:05:40.1769837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1770174Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1770513Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1770617Z PASSED [0.0621s] [ 26%] 2023-07-07T20:05:40.1770983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0354s] [ 26%] 2023-07-07T20:05:40.1771349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0384s] [ 26%] 2023-07-07T20:05:40.1771949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1772286Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1772621Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1772957Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1773062Z PASSED [0.0424s] [ 26%] 2023-07-07T20:05:40.1773415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0299s] [ 26%] 2023-07-07T20:05:40.1774041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1774382Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1774746Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1775079Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1775155Z PASSED [0.0367s] [ 26%] 2023-07-07T20:05:40.1775496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0248s] [ 26%] 2023-07-07T20:05:40.1775887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0249s] [ 26%] 2023-07-07T20:05:40.1776495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1776835Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1777178Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1777257Z PASSED [0.0345s] [ 26%] 2023-07-07T20:05:40.1777871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1778233Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1778568Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1778644Z PASSED [0.0338s] [ 26%] 2023-07-07T20:05:40.1779304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1779647Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1780019Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1780356Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1780432Z PASSED [0.0345s] [ 26%] 2023-07-07T20:05:40.1780795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0225s] [ 26%] 2023-07-07T20:05:40.1781435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1781776Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1782112Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1782193Z PASSED [0.0289s] [ 26%] 2023-07-07T20:05:40.1782806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1783141Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1783498Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1783838Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1783914Z PASSED [0.0293s] [ 26%] 2023-07-07T20:05:40.1784287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0169s] [ 26%] 2023-07-07T20:05:40.1784654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0177s] [ 26%] 2023-07-07T20:05:40.1785280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1785623Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1785960Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1786329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1786407Z PASSED [0.0305s] [ 26%] 2023-07-07T20:05:40.1787003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1787344Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1787683Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1788100Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1788213Z PASSED [0.0259s] [ 26%] 2023-07-07T20:05:40.1789141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1789699Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1790229Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1790344Z PASSED [0.0524s] [ 26%] 2023-07-07T20:05:40.1791270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1791819Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1792323Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1792436Z PASSED [0.0519s] [ 26%] 2023-07-07T20:05:40.1793376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1793893Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1794404Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1794991Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1795094Z PASSED [0.0520s] [ 26%] 2023-07-07T20:05:40.1796022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1796535Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1797080Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1797197Z PASSED [0.0470s] [ 26%] 2023-07-07T20:05:40.1798158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1798670Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1799212Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1799322Z PASSED [0.0475s] [ 26%] 2023-07-07T20:05:40.1800250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1800763Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1801305Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1801819Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1801933Z PASSED [0.0486s] [ 26%] 2023-07-07T20:05:40.1802480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0355s] [ 26%] 2023-07-07T20:05:40.1803397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1803915Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1804624Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1804811Z PASSED [0.0418s] [ 26%] 2023-07-07T20:05:40.1805353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0298s] [ 26%] 2023-07-07T20:05:40.1806296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1806814Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1807369Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1807483Z PASSED [0.0369s] [ 26%] 2023-07-07T20:05:40.1808407Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1808960Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1809463Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1809578Z PASSED [0.0365s] [ 26%] 2023-07-07T20:05:40.1810493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1811009Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1811518Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1812024Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1812139Z PASSED [0.0373s] [ 26%] 2023-07-07T20:05:40.1812708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0253s] [ 26%] 2023-07-07T20:05:40.1813254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0250s] [ 26%] 2023-07-07T20:05:40.1814200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1814552Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1814916Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1814995Z PASSED [0.0343s] [ 26%] 2023-07-07T20:05:40.1815599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1815965Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1816305Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1816643Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1816720Z PASSED [0.0345s] [ 26%] 2023-07-07T20:05:40.1817089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0227s] [ 26%] 2023-07-07T20:05:40.1817708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1818046Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1818407Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1818744Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1818809Z PASSED [0.0289s] [ 26%] 2023-07-07T20:05:40.1819436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1819783Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1820143Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1820221Z PASSED [0.0302s] [ 26%] 2023-07-07T20:05:40.1820820Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1821187Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1821524Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1821606Z PASSED [0.0246s] [ 26%] 2023-07-07T20:05:40.1822208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1822549Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1822884Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1822961Z PASSED [0.0237s] [ 26%] 2023-07-07T20:05:40.1823559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1823933Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1824295Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1824635Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1824714Z PASSED [0.0253s] [ 26%] 2023-07-07T20:05:40.1825103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0134s] [ 26%] 2023-07-07T20:05:40.1825712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1826048Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1826414Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1826492Z PASSED [0.1117s] [ 26%] 2023-07-07T20:05:40.1827101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1827440Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1827773Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1827836Z PASSED [0.1125s] [ 26%] 2023-07-07T20:05:40.1828445Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1828859Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1829198Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1829567Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1829644Z PASSED [0.1138s] [ 26%] 2023-07-07T20:05:40.1830255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1830624Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1830958Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1831039Z PASSED [0.1068s] [ 26%] 2023-07-07T20:05:40.1831659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1831997Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1832335Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1832672Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1832752Z PASSED [0.1102s] [ 26%] 2023-07-07T20:05:40.1833362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1833700Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1834061Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1834398Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1834474Z PASSED [0.1102s] [ 26%] 2023-07-07T20:05:40.1834952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0954s] [ 26%] 2023-07-07T20:05:40.1835551Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1835919Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1836260Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1836582Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1836685Z PASSED [0.0715s] [ 26%] 2023-07-07T20:05:40.1837278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1837622Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1837960Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1838295Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1838374Z PASSED [0.0691s] [ 26%] 2023-07-07T20:05:40.1838731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0581s] [ 26%] 2023-07-07T20:05:40.1839333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1839705Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1840065Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1840145Z PASSED [0.0660s] [ 26%] 2023-07-07T20:05:40.1840498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0643s] [ 26%] 2023-07-07T20:05:40.1840879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0611s] [ 26%] 2023-07-07T20:05:40.1841487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1841859Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1842201Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1842277Z PASSED [0.0516s] [ 26%] 2023-07-07T20:05:40.1842637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0400s] [ 26%] 2023-07-07T20:05:40.1843242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1843577Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1843911Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1844022Z PASSED [0.0464s] [ 26%] 2023-07-07T20:05:40.1844766Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1845159Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1845493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1845572Z PASSED [0.0466s] [ 26%] 2023-07-07T20:05:40.1846179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1846549Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1846883Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1847261Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1847342Z PASSED [0.0466s] [ 26%] 2023-07-07T20:05:40.1847709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0353s] [ 26%] 2023-07-07T20:05:40.1848069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0350s] [ 26%] 2023-07-07T20:05:40.1848672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1849013Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1849352Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1849466Z PASSED [0.0378s] [ 26%] 2023-07-07T20:05:40.1850060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1850427Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1850763Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1851100Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1851204Z PASSED [0.0384s] [ 26%] 2023-07-07T20:05:40.1851802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1852139Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1852503Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1852581Z PASSED [0.0330s] [ 26%] 2023-07-07T20:05:40.1853166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1853506Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1853846Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1854182Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1854259Z PASSED [0.0349s] [ 26%] 2023-07-07T20:05:40.1854607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0238s] [ 26%] 2023-07-07T20:05:40.1855241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1855603Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1855938Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1856018Z PASSED [0.1182s] [ 26%] 2023-07-07T20:05:40.1856661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1856997Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1857332Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1857415Z PASSED [0.1177s] [ 26%] 2023-07-07T20:05:40.1858041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1858378Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1858718Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1859059Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1859136Z PASSED [0.1177s] [ 26%] 2023-07-07T20:05:40.1859755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1860123Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1860457Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1860819Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1860899Z PASSED [0.1175s] [ 26%] 2023-07-07T20:05:40.1861498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1861869Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1862201Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1862282Z PASSED [0.1132s] [ 26%] 2023-07-07T20:05:40.1862914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1863257Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1863591Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1863929Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1864008Z PASSED [0.1137s] [ 26%] 2023-07-07T20:05:40.1864617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1864954Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1865314Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1865650Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1865729Z PASSED [0.1135s] [ 26%] 2023-07-07T20:05:40.1866360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1866726Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1867062Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1867139Z PASSED [0.0736s] [ 26%] 2023-07-07T20:05:40.1867732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1868141Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1868475Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1868817Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1868896Z PASSED [0.0740s] [ 26%] 2023-07-07T20:05:40.1869496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1869837Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1870161Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1870525Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1870605Z PASSED [0.0737s] [ 26%] 2023-07-07T20:05:40.1870985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0729s] [ 26%] 2023-07-07T20:05:40.1871588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1871956Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1872291Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1872367Z PASSED [0.0704s] [ 27%] 2023-07-07T20:05:40.1873002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1873345Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1873680Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1874013Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1874091Z PASSED [0.0528s] [ 27%] 2023-07-07T20:05:40.1874765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1875109Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1875445Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1875821Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1875897Z PASSED [0.0522s] [ 27%] 2023-07-07T20:05:40.1876284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0396s] [ 27%] 2023-07-07T20:05:40.1876648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0400s] [ 27%] 2023-07-07T20:05:40.1877252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1877617Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1877950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1878017Z PASSED [0.0395s] [ 27%] 2023-07-07T20:05:40.1878398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0242s] [ 27%] 2023-07-07T20:05:40.1878682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_round SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1878933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0053s] [ 27%] 2023-07-07T20:05:40.1879179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0066s] [ 27%] 2023-07-07T20:05:40.1879424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scalar_type PASSED [0.0424s] [ 27%] 2023-07-07T20:05:40.1879764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 27%] 2023-07-07T20:05:40.1880102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 27%] 2023-07-07T20:05:40.1880402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 27%] 2023-07-07T20:05:40.1880747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 27%] 2023-07-07T20:05:40.1880992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_select PASSED [0.0073s] [ 27%] 2023-07-07T20:05:40.1881251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0079s] [ 27%] 2023-07-07T20:05:40.1881566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1881857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1882146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1882405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0061s] [ 27%] 2023-07-07T20:05:40.1882683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1882972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1883270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1883625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0344s] [ 27%] 2023-07-07T20:05:40.1884011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0333s] [ 27%] 2023-07-07T20:05:40.1884379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_silu PASSED [0.0048s] [ 27%] 2023-07-07T20:05:40.1884843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_size PASSED [0.0386s] [ 27%] 2023-07-07T20:05:40.1885224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic PASSED [0.0453s] [ 27%] 2023-07-07T20:05:40.1885623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script PASSED [0.0034s] [ 27%] 2023-07-07T20:05:40.1886001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0077s] [ 27%] 2023-07-07T20:05:40.1886379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0127s] [ 27%] 2023-07-07T20:05:40.1886772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0103s] [ 27%] 2023-07-07T20:05:40.1887137Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0063s] [ 27%] 2023-07-07T20:05:40.1887653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1888027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_softmax PASSED [0.0590s] [ 27%] 2023-07-07T20:05:40.1888396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0157s] [ 27%] 2023-07-07T20:05:40.1888813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm PASSED [0.0109s] [ 27%] 2023-07-07T20:05:40.1889180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split PASSED [0.0179s] [ 27%] 2023-07-07T20:05:40.1889620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1890095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_script SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1890541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1890926Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0008s] [ 27%] 2023-07-07T20:05:40.1891316Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0054s] [ 27%] 2023-07-07T20:05:40.1891723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0042s] [ 27%] 2023-07-07T20:05:40.1892109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0045s] [ 27%] 2023-07-07T20:05:40.1892550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1892968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1893364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0042s] [ 27%] 2023-07-07T20:05:40.1893810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1894203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0042s] [ 27%] 2023-07-07T20:05:40.1894565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std PASSED [0.0134s] [ 27%] 2023-07-07T20:05:40.1894940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0161s] [ 27%] 2023-07-07T20:05:40.1895310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0113s] [ 27%] 2023-07-07T20:05:40.1895718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0145s] [ 27%] 2023-07-07T20:05:40.1896108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0177s] [ 27%] 2023-07-07T20:05:40.1896496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0109s] [ 27%] 2023-07-07T20:05:40.1896905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0170s] [ 27%] 2023-07-07T20:05:40.1897344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1897810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1898270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1898709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1899162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_same_size SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1899645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1900100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1900555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0007s] (Unsupported opset_version: 10 < 17) [ 27%] 2023-07-07T20:05:40.1900915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sum PASSED [0.0047s] [ 27%] 2023-07-07T20:05:40.1901299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0262s] [ 27%] 2023-07-07T20:05:40.1901718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes PASSED [0.0086s] [ 27%] 2023-07-07T20:05:40.1902130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 PASSED [0.0383s] [ 27%] 2023-07-07T20:05:40.1902539Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0247s] [ 27%] 2023-07-07T20:05:40.1902943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time PASSED [0.0687s] [ 27%] 2023-07-07T20:05:40.1903347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0134s] [ 27%] 2023-07-07T20:05:40.1903744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script PASSED [0.0067s] [ 27%] 2023-07-07T20:05:40.1904150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing PASSED [0.0777s] [ 27%] 2023-07-07T20:05:40.1904596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0249s] [ 27%] 2023-07-07T20:05:40.1905022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0207s] [ 27%] 2023-07-07T20:05:40.1905458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0013s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1905945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count SKIPPED [0.0012s] (Unsupported opset_version: 10 < 12) [ 27%] 2023-07-07T20:05:40.1906387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 27%] 2023-07-07T20:05:40.1906840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 27%] 2023-07-07T20:05:40.1907218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0034s] [ 27%] 2023-07-07T20:05:40.1907697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1908074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0144s] [ 27%] 2023-07-07T20:05:40.1908514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1908931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tril SKIPPED [0.0008s] (Unsupported opset_version: 10 < 14) [ 27%] 2023-07-07T20:05:40.1909312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0041s] [ 27%] 2023-07-07T20:05:40.1909774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 10 < 15) [ 27%] 2023-07-07T20:05:40.1910194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception PASSED [0.0057s] [ 27%] 2023-07-07T20:05:40.1910511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_tuple_primitive_input PASSED [0.0051s] [ 27%] 2023-07-07T20:05:40.1910754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_type_as PASSED [0.0124s] [ 27%] 2023-07-07T20:05:40.1911034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unbind PASSED [0.0132s] [ 27%] 2023-07-07T20:05:40.1911338Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 27%] 2023-07-07T20:05:40.1911634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1911953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0007s] (Unsupported opset_version: 10 < 14) [ 27%] 2023-07-07T20:05:40.1912255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList SKIPPED [0.0008s] (Unsupported opset_version: 10 < 14) [ 27%] 2023-07-07T20:05:40.1912568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 10 < 14) [ 27%] 2023-07-07T20:05:40.1912878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unique SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1913165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1913414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk PASSED [0.0059s] [ 27%] 2023-07-07T20:05:40.1913710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1913994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_unsupported_pad PASSED [0.0034s] [ 27%] 2023-07-07T20:05:40.1914234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_var PASSED [0.1004s] [ 27%] 2023-07-07T20:05:40.1914487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0112s] [ 27%] 2023-07-07T20:05:40.1914797Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0137s] [ 27%] 2023-07-07T20:05:40.1915042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_view PASSED [0.0052s] [ 27%] 2023-07-07T20:05:40.1915290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_view_as PASSED [0.0048s] [ 27%] 2023-07-07T20:05:40.1915546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim PASSED [0.0073s] [ 27%] 2023-07-07T20:05:40.1915803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_where_condition PASSED [0.0216s] [ 27%] 2023-07-07T20:05:40.1916062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor PASSED [0.0060s] [ 27%] 2023-07-07T20:05:40.1916357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input PASSED [0.0083s] [ 27%] 2023-07-07T20:05:40.1916620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast PASSED [0.0062s] [ 27%] 2023-07-07T20:05:40.1916866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0153s] [ 27%] 2023-07-07T20:05:40.1917138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0055s] [ 27%] 2023-07-07T20:05:40.1917379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_all PASSED [0.0214s] [ 27%] 2023-07-07T20:05:40.1917682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor SKIPPED [0.0009s] (Unsupported opset_version: 10 < 15) [ 27%] 2023-07-07T20:05:40.1917979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor PASSED [0.0063s] [ 27%] 2023-07-07T20:05:40.1918216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_any PASSED [0.0159s] [ 27%] 2023-07-07T20:05:40.1918510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1918765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0169s] [ 27%] 2023-07-07T20:05:40.1919072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_notype SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1919356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step PASSED [0.0214s] [ 27%] 2023-07-07T20:05:40.1919649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1919909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out PASSED [0.0395s] [ 27%] 2023-07-07T20:05:40.1920174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override PASSED [0.0313s] [ 27%] 2023-07-07T20:05:40.1920457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_argsort SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1920708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0093s] [ 27%] 2023-07-07T20:05:40.1920966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0178s] [ 27%] 2023-07-07T20:05:40.1921213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_as_strided PASSED [0.0288s] [ 27%] 2023-07-07T20:05:40.1921844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1922501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1923085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.1923214Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.1923298Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.1923309Z 2023-07-07T20:05:40.1923446Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.1923582Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.1923825Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1924556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.1924717Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.1924864Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.1925020Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.1925027Z 2023-07-07T20:05:40.1925104Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.1925249Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.1925398Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.1925549Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.1925555Z 2023-07-07T20:05:40.1925705Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.1925908Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.1926057Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.1926209Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.1926215Z 2023-07-07T20:05:40.1926219Z 2023-07-07T20:05:40.1926350Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.1926498Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.1926643Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.1926794Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.1926799Z 2023-07-07T20:05:40.1926942Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.1927088Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.1927234Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.1927385Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.1927393Z 2023-07-07T20:05:40.1927466Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.1927608Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.1927750Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.1928008Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1928612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1929281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1929823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.1930000Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1930607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1930917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0122s] [ 27%] 2023-07-07T20:05:40.1931207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0076s] [ 27%] 2023-07-07T20:05:40.1931482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0237s] [ 27%] 2023-07-07T20:05:40.1931742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0150s] [ 27%] 2023-07-07T20:05:40.1932009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats PASSED [0.0222s] [ 27%] 2023-07-07T20:05:40.1932294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine PASSED [0.1339s] [ 27%] 2023-07-07T20:05:40.1932566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer PASSED [0.1385s] [ 27%] 2023-07-07T20:05:40.1932845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer PASSED [0.1407s] [ 27%] 2023-07-07T20:05:40.1933091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_bernoulli PASSED [0.0134s] [ 27%] 2023-07-07T20:05:40.1933383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1933636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cast_to_bool PASSED [0.0067s] [ 27%] 2023-07-07T20:05:40.1933934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1934179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cdist PASSED [0.0087s] [ 27%] 2023-07-07T20:05:40.1934465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 27%] 2023-07-07T20:05:40.1934781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_celu_default 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_constant_pad PASSED [0.0098s] [ 27%] 2023-07-07T20:05:40.1936432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv PASSED [0.5990s] [ 27%] 2023-07-07T20:05:40.1936690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference PASSED [0.0504s] [ 27%] 2023-07-07T20:05:40.1936946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding PASSED [0.5924s] [ 27%] 2023-07-07T20:05:40.1937197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_conv_transpose PASSED [0.3002s] [ 27%] 2023-07-07T20:05:40.1937460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32 PASSED [0.0325s] [ 27%] 2023-07-07T20:05:40.1937766Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_copy_ SKIPPED [0.0013s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1938064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1938345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_copy_tracing SKIPPED [0.0011s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1938601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cosine_similarity PASSED [0.0137s] [ 27%] 2023-07-07T20:05:40.1938901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss SKIPPED [0.0013s] (Unsupported opset_version: 10 < 12) [ 27%] 2023-07-07T20:05:40.1939182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_cumsum SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1939481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting SKIPPED [0.0011s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1939724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_device_eq PASSED [0.0081s] [ 27%] 2023-07-07T20:05:40.1940027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_diagonal SKIPPED [0.0012s] (Unsupported opset_version: 10 < 13) [ 27%] 2023-07-07T20:05:40.1940271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dict PASSED [0.0068s] [ 27%] 2023-07-07T20:05:40.1940545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dim_1 SKIPPED [0.0012s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1940856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dist_normal SKIPPED [0.0011s] (Unsupported 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dropout PASSED [0.0080s] [ 27%] 2023-07-07T20:05:40.1942477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dtype_eq PASSED [0.0033s] [ 27%] 2023-07-07T20:05:40.1942740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_start_out PASSED [0.0283s] [ 27%] 2023-07-07T20:05:40.1943067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_dynamic_expand_as SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 27%] 2023-07-07T20:05:40.1943383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights SKIPPED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_eye PASSED [0.0240s] [ 28%] 2023-07-07T20:05:40.1944960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1945291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1945559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor PASSED [0.0078s] [ 28%] 2023-07-07T20:05:40.1945883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1946150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fill PASSED [0.0165s] [ 28%] 2023-07-07T20:05:40.1946397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_flatten PASSED [0.0148s] [ 28%] 2023-07-07T20:05:40.1946647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg PASSED [0.0111s] [ 28%] 2023-07-07T20:05:40.1946938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes PASSED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block PASSED [0.0101s] [ 28%] 2023-07-07T20:05:40.1949768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_ge PASSED [0.0159s] [ 28%] 2023-07-07T20:05:40.1950010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gelu PASSED [0.0073s] [ 28%] 2023-07-07T20:05:40.1950344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0009s] (Unsupported opset_version: 10 < 16) [ 28%] 2023-07-07T20:05:40.1950702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 28%] 2023-07-07T20:05:40.1951040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 28%] 2023-07-07T20:05:40.1951397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 10 < 16) [ 28%] 2023-07-07T20:05:40.1951725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0008s] (Unsupported opset_version: 10 < 16) [ 28%] 2023-07-07T20:05:40.1953363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gru_constant_folding PASSED [0.1095s] [ 28%] 2023-07-07T20:05:40.1953604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gt PASSED [0.0156s] [ 28%] 2023-07-07T20:05:40.1953853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive PASSED [0.0045s] [ 28%] 2023-07-07T20:05:40.1954120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values PASSED [0.0128s] [ 28%] 2023-07-07T20:05:40.1954379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic PASSED [0.0136s] [ 28%] 2023-07-07T20:05:40.1954744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values PASSED [0.0033s] [ 28%] 2023-07-07T20:05:40.1955010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints PASSED [0.1693s] [ 28%] 2023-07-07T20:05:40.1955292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_if_list SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1955565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_if_view SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1955855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_2d_neg_slice PASSED [0.0091s] [ 28%] 2023-07-07T20:05:40.1956114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint PASSED [0.0068s] [ 28%] 2023-07-07T20:05:40.1956365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_dim_size_differ PASSED [0.0098s] [ 28%] 2023-07-07T20:05:40.1956654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0124s] [ 28%] 2023-07-07T20:05:40.1956907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_if PASSED [0.0038s] [ 28%] 2023-07-07T20:05:40.1957162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_add_in_loop PASSED [0.0243s] [ 28%] 2023-07-07T20:05:40.1957410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_copy PASSED [0.0114s] [ 28%] 2023-07-07T20:05:40.1957679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_fill PASSED [0.0130s] [ 28%] 2023-07-07T20:05:40.1957980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1958262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1958550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1958877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1959153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index PASSED [0.0067s] [ 28%] 2023-07-07T20:05:40.1959418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_index_select_scaler_index PASSED [0.0078s] [ 28%] 2023-07-07T20:05:40.1959715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1959975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop_2 PASSED [0.0068s] [ 28%] 2023-07-07T20:05:40.1960213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero PASSED [0.0089s] [ 28%] 2023-07-07T20:05:40.1960483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats PASSED [0.0297s] [ 28%] 2023-07-07T20:05:40.1960748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats PASSED [0.0428s] [ 28%] 2023-07-07T20:05:40.1961014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats PASSED [0.2285s] [ 28%] 2023-07-07T20:05:40.1961307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats PASSED [0.2085s] [ 28%] 2023-07-07T20:05:40.1961582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer PASSED [0.2511s] [ 28%] 2023-07-07T20:05:40.1961905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training PASSED [0.1240s] [ 28%] 2023-07-07T20:05:40.1962167Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample PASSED [0.0654s] [ 28%] 2023-07-07T20:05:40.1962469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1962771Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1963102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0008s] (Unsupported opset_version: 10 > 8) [ 28%] 2023-07-07T20:05:40.1963349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_isfinite PASSED [0.0058s] [ 28%] 2023-07-07T20:05:40.1963589Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_isinf PASSED [0.0045s] [ 28%] 2023-07-07T20:05:40.1963821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_isnan PASSED [0.0041s] [ 28%] 2023-07-07T20:05:40.1964098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_kldiv_loss PASSED [0.1103s] [ 28%] 2023-07-07T20:05:40.1964342Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_layer_norm PASSED [0.0131s] [ 28%] 2023-07-07T20:05:40.1964720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0101s] [ 28%] 2023-07-07T20:05:40.1965036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_len SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1965416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_len_list PASSED [0.0032s] [ 28%] 2023-07-07T20:05:40.1965783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lerp PASSED [0.0469s] [ 28%] 2023-07-07T20:05:40.1966162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm PASSED [0.1680s] [ 28%] 2023-07-07T20:05:40.1966552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm PASSED [0.1186s] [ 28%] 2023-07-07T20:05:40.1966923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linear PASSED [0.0153s] [ 28%] 2023-07-07T20:05:40.1967299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_linspace PASSED [0.0120s] [ 28%] 2023-07-07T20:05:40.1967789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1968223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_append SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1968704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1969172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1969598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_del SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1970076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_del_in_block SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1970511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested SKIPPED [0.0007s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1970939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_pop SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1971378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_pop_nested SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1971851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_list_unpack SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1972216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_log PASSED [0.0046s] [ 28%] 2023-07-07T20:05:40.1972581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_log10 PASSED [0.0054s] [ 28%] 2023-07-07T20:05:40.1972941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_log2 PASSED [0.0052s] [ 28%] 2023-07-07T20:05:40.1973359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logdet SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1973737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logical_or PASSED [0.0166s] [ 28%] 2023-07-07T20:05:40.1974112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logical_xor PASSED [0.0157s] [ 28%] 2023-07-07T20:05:40.1974464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logit PASSED [0.0405s] [ 28%] 2023-07-07T20:05:40.1974840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax PASSED [0.0215s] [ 28%] 2023-07-07T20:05:40.1975217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim PASSED [0.0304s] [ 28%] 2023-07-07T20:05:40.1975643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype PASSED [0.0061s] [ 28%] 2023-07-07T20:05:40.1976090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_loop_transpose SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1976467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple PASSED [0.0093s] [ 28%] 2023-07-07T20:05:40.1976861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell PASSED [0.0335s] [ 28%] 2023-07-07T20:05:40.1977245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state PASSED [0.0267s] [ 28%] 2023-07-07T20:05:40.1977637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias PASSED [0.1239s] [ 28%] 2023-07-07T20:05:40.1977965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden PASSED [0.0112s] [ 28%] 2023-07-07T20:05:40.1978215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence PASSED [0.0796s] [ 28%] 2023-07-07T20:05:40.1978460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_lt_scalar PASSED [0.0100s] [ 28%] 2023-07-07T20:05:40.1978709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0121s] [ 28%] 2023-07-07T20:05:40.1978956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_fill_inplace PASSED [0.0056s] [ 28%] 2023-07-07T20:05:40.1979280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1979571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_masked_select SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1979818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_matmul PASSED [0.0085s] [ 28%] 2023-07-07T20:05:40.1980066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_matmul_batch PASSED [0.0073s] [ 28%] 2023-07-07T20:05:40.1980309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_max_int PASSED [0.0072s] [ 28%] 2023-07-07T20:05:40.1980559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool PASSED [0.0065s] [ 28%] 2023-07-07T20:05:40.1980811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil PASSED [0.0062s] [ 28%] 2023-07-07T20:05:40.1981067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil PASSED [0.0146s] [ 28%] 2023-07-07T20:05:40.1981322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_adaptive PASSED [0.0094s] [ 28%] 2023-07-07T20:05:40.1981622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0088s] [ 28%] 2023-07-07T20:05:40.1981878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0066s] [ 28%] 2023-07-07T20:05:40.1982136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0105s] [ 28%] 2023-07-07T20:05:40.1982396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0140s] [ 28%] 2023-07-07T20:05:40.1982649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_meshgrid_scalar PASSED [0.0141s] [ 28%] 2023-07-07T20:05:40.1982891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_min_int PASSED [0.0076s] [ 28%] 2023-07-07T20:05:40.1983185Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 28%] 2023-07-07T20:05:40.1983501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional SKIPPED [0.0007s] (Unsupported opset_version: 10 < 15) [ 28%] 2023-07-07T20:05:40.1983807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor SKIPPED [0.0007s] (Unsupported opset_version: 10 < 15) [ 28%] 2023-07-07T20:05:40.1984120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 28%] 2023-07-07T20:05:40.1984410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision PASSED [0.0275s] [ 28%] 2023-07-07T20:05:40.1984659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0106s] [ 28%] 2023-07-07T20:05:40.1984912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn PASSED [0.1379s] [ 28%] 2023-07-07T20:05:40.1985151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_mv PASSED [0.0215s] [ 28%] 2023-07-07T20:05:40.1985394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_narrow PASSED [0.0061s] [ 28%] 2023-07-07T20:05:40.1985653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0060s] [ 28%] 2023-07-07T20:05:40.1985891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_new_ones PASSED [0.0202s] [ 28%] 2023-07-07T20:05:40.1986131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_new_zeros PASSED [0.0209s] [ 28%] 2023-07-07T20:05:40.1986420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean SKIPPED [0.0009s] (Unsupported opset_version: 10 < 12) [ 28%] 2023-07-07T20:05:40.1986737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 28%] 2023-07-07T20:05:40.1987063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 28%] 2023-07-07T20:05:40.1987347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_none SKIPPED [0.0007s] (Unsupported opset_version: 10 < 12) [ 28%] 2023-07-07T20:05:40.1987659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum SKIPPED [0.0008s] (Unsupported opset_version: 10 < 12) [ 28%] 2023-07-07T20:05:40.1987934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nms SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1988236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness SKIPPED [0.0010s] (Unsupported opset_version: 10 < 11) [ 28%] 2023-07-07T20:05:40.1988528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0089s] [ 28%] 2023-07-07T20:05:40.1988769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_numel PASSED [0.0062s] [ 28%] 2023-07-07T20:05:40.1989014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_numpy_T PASSED [0.0042s] [ 28%] 2023-07-07T20:05:40.1989255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_one_hot PASSED [0.0126s] [ 28%] 2023-07-07T20:05:40.1989499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_ones_bool PASSED [0.0111s] [ 28%] 2023-07-07T20:05:40.1989825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0 SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 28%] 2023-07-07T20:05:40.1990132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 28%] 2023-07-07T20:05:40.1990446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 28%] 2023-07-07T20:05:40.1990757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 28%] 2023-07-07T20:05:40.1991016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.1619s] [ 28%] 2023-07-07T20:05:40.1991271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle PASSED [0.0167s] [ 28%] 2023-07-07T20:05:40.1991511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_prelu PASSED [0.0059s] [ 28%] 2023-07-07T20:05:40.1991771Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0051s] [ 28%] 2023-07-07T20:05:40.1992049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0132s] [ 28%] 2023-07-07T20:05:40.1992373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1992899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1993249Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1993330Z PASSED [0.0196s] [ 28%] 2023-07-07T20:05:40.1993612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_qat_relu SKIPPED [0.0009s] (Unsupported opset_version: 10 < 13) [ 28%] 2023-07-07T20:05:40.1994141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1994484Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.1994565Z PASSED [0.0120s] [ 28%] 2023-07-07T20:05:40.1994902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0199s] [ 28%] 2023-07-07T20:05:40.1995216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional PASSED [0.0197s] [ 28%] 2023-07-07T20:05:40.1995508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale PASSED [0.0145s] [ 28%] 2023-07-07T20:05:40.1995767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d PASSED [0.0384s] [ 28%] 2023-07-07T20:05:40.1996026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0391s] [ 28%] 2023-07-07T20:05:40.1996285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0400s] [ 28%] 2023-07-07T20:05:40.1996555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d PASSED [0.1086s] [ 28%] 2023-07-07T20:05:40.1996810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_flatten PASSED [0.0155s] [ 28%] 2023-07-07T20:05:40.1997067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear PASSED [0.0303s] [ 28%] 2023-07-07T20:05:40.1997335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided PASSED [0.0150s] [ 28%] 2023-07-07T20:05:40.1997632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand PASSED [0.0156s] [ 28%] 2023-07-07T20:05:40.1997904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm PASSED [0.0218s] [ 28%] 2023-07-07T20:05:40.1998178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid PASSED [0.0140s] [ 28%] 2023-07-07T20:05:40.1998458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh PASSED [0.0144s] [ 28%] 2023-07-07T20:05:40.1998729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm PASSED [0.0179s] [ 28%] 2023-07-07T20:05:40.1999008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm PASSED [0.0235s] [ 28%] 2023-07-07T20:05:40.1999300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu PASSED [0.0138s] [ 28%] 2023-07-07T20:05:40.1999584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish PASSED [0.0157s] [ 28%] 2023-07-07T20:05:40.1999846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh PASSED [0.0131s] [ 28%] 2023-07-07T20:05:40.2000111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view PASSED [0.0125s] [ 28%] 2023-07-07T20:05:40.2000378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rand PASSED [0.0081s] [ 28%] 2023-07-07T20:05:40.2000639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0108s] [ 28%] 2023-07-07T20:05:40.2000886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0113s] [ 28%] 2023-07-07T20:05:40.2001131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0109s] [ 28%] 2023-07-07T20:05:40.2001384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max PASSED [0.0165s] [ 28%] 2023-07-07T20:05:40.2001638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod PASSED [0.0481s] [ 29%] 2023-07-07T20:05:40.2001879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum PASSED [0.0331s] [ 29%] 2023-07-07T20:05:40.2002132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_reflection_pad PASSED [0.0087s] [ 29%] 2023-07-07T20:05:40.2002386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar PASSED [0.0153s] [ 29%] 2023-07-07T20:05:40.2002628Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_repeat PASSED [0.0101s] [ 29%] 2023-07-07T20:05:40.2002917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0102s] [ 29%] 2023-07-07T20:05:40.2003213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_resize_images SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2003854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2004201Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2004711Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2004793Z PASSED [0.0515s] [ 29%] 2023-07-07T20:05:40.2005404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2005749Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2006144Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2006489Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2006567Z PASSED [0.0527s] [ 29%] 2023-07-07T20:05:40.2006932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0400s] [ 29%] 2023-07-07T20:05:40.2007546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2007888Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2008225Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2008644Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2008710Z PASSED [0.0478s] [ 29%] 2023-07-07T20:05:40.2009355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2009699Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2010072Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2010409Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2010486Z PASSED [0.0467s] [ 29%] 2023-07-07T20:05:40.2010853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0344s] [ 29%] 2023-07-07T20:05:40.2011250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0424s] [ 29%] 2023-07-07T20:05:40.2011857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2012198Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2012537Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2012615Z PASSED [0.0390s] [ 29%] 2023-07-07T20:05:40.2013221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2013588Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2013929Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2014291Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2014369Z PASSED [0.0390s] [ 29%] 2023-07-07T20:05:40.2014722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0280s] [ 29%] 2023-07-07T20:05:40.2015081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0279s] [ 29%] 2023-07-07T20:05:40.2015705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2016042Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2016405Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2016745Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2016829Z PASSED [0.0350s] [ 29%] 2023-07-07T20:05:40.2017422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2017779Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2018106Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2018440Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2018543Z PASSED [0.0349s] [ 29%] 2023-07-07T20:05:40.2018897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0231s] [ 29%] 2023-07-07T20:05:40.2019253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0231s] [ 29%] 2023-07-07T20:05:40.2019641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0214s] [ 29%] 2023-07-07T20:05:40.2020258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2020625Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2020964Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2021040Z PASSED [0.0274s] [ 29%] 2023-07-07T20:05:40.2021682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2022026Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2022365Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2022444Z PASSED [0.0269s] [ 29%] 2023-07-07T20:05:40.2022810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0159s] [ 29%] 2023-07-07T20:05:40.2023179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0161s] [ 29%] 2023-07-07T20:05:40.2023784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2024157Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2024494Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2024594Z PASSED [0.0291s] [ 29%] 2023-07-07T20:05:40.2025186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2025563Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2025900Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2026235Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2026304Z PASSED [0.0294s] [ 29%] 2023-07-07T20:05:40.2026927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2027270Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2027606Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2027948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2028029Z PASSED [0.0290s] [ 29%] 2023-07-07T20:05:40.2028629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2028965Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2029330Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2029660Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2029764Z PASSED [0.0251s] [ 29%] 2023-07-07T20:05:40.2030125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0135s] [ 29%] 2023-07-07T20:05:40.2030733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2031101Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2031434Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2031516Z PASSED [0.0485s] [ 29%] 2023-07-07T20:05:40.2032145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2032484Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2032816Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2033156Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2033235Z PASSED [0.0528s] [ 29%] 2023-07-07T20:05:40.2033600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0402s] [ 29%] 2023-07-07T20:05:40.2034209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2034576Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2035027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2035355Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2035434Z PASSED [0.0478s] [ 29%] 2023-07-07T20:05:40.2036047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2036416Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2036748Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2037110Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2037192Z PASSED [0.0472s] [ 29%] 2023-07-07T20:05:40.2037557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0339s] [ 29%] 2023-07-07T20:05:40.2038157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2038501Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2038842Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2039176Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2039282Z PASSED [0.0422s] [ 29%] 2023-07-07T20:05:40.2039637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0302s] [ 29%] 2023-07-07T20:05:40.2040267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2040607Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2040947Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2041308Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2041388Z PASSED [0.0370s] [ 29%] 2023-07-07T20:05:40.2041749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0253s] [ 29%] 2023-07-07T20:05:40.2042379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2042720Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2043060Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2043127Z PASSED [0.0343s] [ 29%] 2023-07-07T20:05:40.2043737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2044078Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2044544Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2044700Z PASSED [0.0336s] [ 29%] 2023-07-07T20:05:40.2045315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2045691Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2046201Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2046716Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2046868Z PASSED [0.0347s] [ 29%] 2023-07-07T20:05:40.2047794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2048300Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2048883Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2049399Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2049509Z PASSED [0.0340s] [ 29%] 2023-07-07T20:05:40.2050059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0220s] [ 29%] 2023-07-07T20:05:40.2050615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0225s] [ 29%] 2023-07-07T20:05:40.2051557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2052074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2052624Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2052739Z PASSED [0.0287s] [ 29%] 2023-07-07T20:05:40.2053324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0172s] [ 29%] 2023-07-07T20:05:40.2053886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0169s] [ 29%] 2023-07-07T20:05:40.2054803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2055351Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2055865Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2055971Z PASSED [0.0308s] [ 29%] 2023-07-07T20:05:40.2056924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2057447Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2057953Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2058065Z PASSED [0.0299s] [ 29%] 2023-07-07T20:05:40.2058976Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2059493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2060004Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2060551Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2060663Z PASSED [0.0310s] [ 29%] 2023-07-07T20:05:40.2061233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0193s] [ 29%] 2023-07-07T20:05:40.2062151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2062696Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2063210Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2063713Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2063828Z PASSED [0.0260s] [ 29%] 2023-07-07T20:05:40.2064772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2065289Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2065801Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2066314Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2066429Z PASSED [0.0259s] [ 29%] 2023-07-07T20:05:40.2066961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0143s] [ 29%] 2023-07-07T20:05:40.2067895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2068439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2068965Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2069080Z PASSED [0.1106s] [ 29%] 2023-07-07T20:05:40.2070006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2070557Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2071072Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2071565Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2071680Z PASSED [0.1113s] [ 29%] 2023-07-07T20:05:40.2072079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0994s] [ 29%] 2023-07-07T20:05:40.2072442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0993s] [ 29%] 2023-07-07T20:05:40.2073048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2073392Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2073729Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2073805Z PASSED [0.1074s] [ 29%] 2023-07-07T20:05:40.2074412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2074863Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2075227Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2075566Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2075646Z PASSED [0.1066s] [ 29%] 2023-07-07T20:05:40.2076041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0936s] [ 29%] 2023-07-07T20:05:40.2076642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2076982Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2077353Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2077433Z PASSED [0.0698s] [ 29%] 2023-07-07T20:05:40.2078023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2078377Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2078704Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2078780Z PASSED [0.0699s] [ 29%] 2023-07-07T20:05:40.2079132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0583s] [ 29%] 2023-07-07T20:05:40.2079490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0576s] [ 29%] 2023-07-07T20:05:40.2080121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2080485Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2080822Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2080927Z PASSED [0.0649s] [ 29%] 2023-07-07T20:05:40.2081524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2081865Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2082206Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2082568Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2082646Z PASSED [0.0656s] [ 29%] 2023-07-07T20:05:40.2083006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0527s] [ 29%] 2023-07-07T20:05:40.2083611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2083950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2084284Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2084745Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2084893Z PASSED [0.0600s] [ 29%] 2023-07-07T20:05:40.2085507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2085880Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2086221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2086591Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2086657Z PASSED [0.0566s] [ 29%] 2023-07-07T20:05:40.2087021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0534s] [ 29%] 2023-07-07T20:05:40.2087656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2088005Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2088340Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2088417Z PASSED [0.0460s] [ 29%] 2023-07-07T20:05:40.2089023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2089362Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2089702Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2089777Z PASSED [0.0458s] [ 29%] 2023-07-07T20:05:40.2090427Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2090786Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2091117Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2091452Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2091561Z PASSED [0.0460s] [ 29%] 2023-07-07T20:05:40.2091924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0343s] [ 29%] 2023-07-07T20:05:40.2092529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2092894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2093227Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2093306Z PASSED [0.0374s] [ 29%] 2023-07-07T20:05:40.2093901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2094244Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2094579Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2094909Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2095002Z PASSED [0.0381s] [ 29%] 2023-07-07T20:05:40.2095599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2095964Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2096300Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2096638Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2096777Z PASSED [0.0377s] [ 29%] 2023-07-07T20:05:40.2097127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0266s] [ 29%] 2023-07-07T20:05:40.2097726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2098098Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2098433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2098509Z PASSED [0.0333s] [ 29%] 2023-07-07T20:05:40.2099112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2099455Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2099797Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2099876Z PASSED [0.0337s] [ 29%] 2023-07-07T20:05:40.2100474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2100849Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2101221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2101552Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2101630Z PASSED [0.0343s] [ 29%] 2023-07-07T20:05:40.2101985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0231s] [ 29%] 2023-07-07T20:05:40.2102371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1068s] [ 29%] 2023-07-07T20:05:40.2102978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2103342Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2103683Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2103748Z PASSED [0.1185s] [ 29%] 2023-07-07T20:05:40.2104361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2104704Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2105041Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2105116Z PASSED [0.1104s] [ 29%] 2023-07-07T20:05:40.2105723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2106090Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2106449Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2106784Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2106862Z PASSED [0.1112s] [ 29%] 2023-07-07T20:05:40.2107511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2107851Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2108185Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2108553Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2108632Z PASSED [0.1107s] [ 29%] 2023-07-07T20:05:40.2109231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2109570Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2109906Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2109986Z PASSED [0.0725s] [ 29%] 2023-07-07T20:05:40.2110584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2110950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2111288Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2111646Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2111714Z PASSED [0.0727s] [ 29%] 2023-07-07T20:05:40.2112064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0592s] [ 29%] 2023-07-07T20:05:40.2112452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0594s] [ 29%] 2023-07-07T20:05:40.2113049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2113389Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2113756Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2113835Z PASSED [0.0687s] [ 29%] 2023-07-07T20:05:40.2114438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2114865Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2115204Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2115281Z PASSED [0.0687s] [ 29%] 2023-07-07T20:05:40.2115877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2116252Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2116589Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2116950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2117028Z PASSED [0.0690s] [ 29%] 2023-07-07T20:05:40.2117642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2118006Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2118343Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2118681Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2118788Z PASSED [0.0683s] [ 29%] 2023-07-07T20:05:40.2119143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0577s] [ 29%] 2023-07-07T20:05:40.2119757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2120101Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2120440Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2120505Z PASSED [0.0517s] [ 29%] 2023-07-07T20:05:40.2121104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2121473Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2121837Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2122170Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2122247Z PASSED [0.0516s] [ 29%] 2023-07-07T20:05:40.2122857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2123226Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2123554Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2123632Z PASSED [0.0462s] [ 29%] 2023-07-07T20:05:40.2124017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0367s] [ 29%] 2023-07-07T20:05:40.2124740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2125081Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2125423Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2125500Z PASSED [0.0391s] [ 29%] 2023-07-07T20:05:40.2126109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2126504Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2126844Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2126919Z PASSED [0.0384s] [ 29%] 2023-07-07T20:05:40.2127546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2127890Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2128258Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2128593Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2128658Z PASSED [0.0384s] [ 29%] 2023-07-07T20:05:40.2129297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2129645Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2129983Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2130065Z PASSED [0.0322s] [ 29%] 2023-07-07T20:05:40.2130663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2131007Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2131343Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2131706Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2131789Z PASSED [0.0321s] [ 29%] 2023-07-07T20:05:40.2132140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0413s] [ 29%] 2023-07-07T20:05:40.2132521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0309s] [ 29%] 2023-07-07T20:05:40.2133007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2133376Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2133712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2134050Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2134411Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2134748Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2135084Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2135419Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2135757Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2136091Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2136423Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2136759Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2137108Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2137443Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2137583Z PASSED [0.1293s] [ 29%] 2023-07-07T20:05:40.2137875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_roi_align SKIPPED [0.0011s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2138157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rpn SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2138432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_rsqrt PASSED [0.0054s] [ 29%] 2023-07-07T20:05:40.2138715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 29%] 2023-07-07T20:05:40.2138967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor PASSED [0.0189s] [ 29%] 2023-07-07T20:05:40.2139282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src SKIPPED [0.0012s] (Unsupported opset_version: 10 < 16) [ 29%] 2023-07-07T20:05:40.2139622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0011s] (Unsupported opset_version: 10 < 16) [ 29%] 2023-07-07T20:05:40.2139993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0011s] (Unsupported opset_version: 10 < 16) [ 29%] 2023-07-07T20:05:40.2140290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0011s] (Unsupported opset_version: 10 < 16) [ 29%] 2023-07-07T20:05:40.2140598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero SKIPPED [0.0011s] (Unsupported opset_version: 10 < 16) [ 29%] 2023-07-07T20:05:40.2140859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar PASSED [0.0093s] [ 29%] 2023-07-07T20:05:40.2141137Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types PASSED [0.0086s] [ 29%] 2023-07-07T20:05:40.2141370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_select PASSED [0.0062s] [ 29%] 2023-07-07T20:05:40.2141674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 29%] 2023-07-07T20:05:40.2141962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 29%] 2023-07-07T20:05:40.2142279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 10 < 13) [ 29%] 2023-07-07T20:05:40.2142565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2142872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2143154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5 SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2143410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0313s] [ 29%] 2023-07-07T20:05:40.2143704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_shape_constant_fold PASSED [0.0059s] [ 29%] 2023-07-07T20:05:40.2143944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_size PASSED [0.0357s] [ 29%] 2023-07-07T20:05:40.2144189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_neg PASSED [0.0070s] [ 29%] 2023-07-07T20:05:40.2144442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large PASSED [0.0125s] [ 29%] 2023-07-07T20:05:40.2144700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone PASSED [0.0101s] [ 29%] 2023-07-07T20:05:40.2145034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2145322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2145622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2145870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_softplus PASSED [0.0157s] [ 29%] 2023-07-07T20:05:40.2146126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0089s] [ 29%] 2023-07-07T20:05:40.2146372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_sort PASSED [0.0135s] [ 29%] 2023-07-07T20:05:40.2146623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm PASSED [0.0108s] [ 29%] 2023-07-07T20:05:40.2146868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split PASSED [0.0181s] [ 29%] 2023-07-07T20:05:40.2147159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic_axes SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2147469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_script SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2147764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list SKIPPED [0.0007s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2148022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0008s] [ 29%] 2023-07-07T20:05:40.2148304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0055s] [ 29%] 2023-07-07T20:05:40.2148567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0045s] [ 29%] 2023-07-07T20:05:40.2148856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2149212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stack PASSED [0.0064s] [ 29%] 2023-07-07T20:05:40.2149644Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stack_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2150009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std PASSED [0.0145s] [ 29%] 2023-07-07T20:05:40.2150383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim PASSED [0.0168s] [ 29%] 2023-07-07T20:05:40.2150754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0147s] [ 29%] 2023-07-07T20:05:40.2151180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction PASSED [0.0106s] [ 29%] 2023-07-07T20:05:40.2151619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 10 < 17) [ 29%] 2023-07-07T20:05:40.2152066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 29%] 2023-07-07T20:05:40.2152524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 10 < 17) [ 29%] 2023-07-07T20:05:40.2152982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 29%] 2023-07-07T20:05:40.2153436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 10 < 17) [ 29%] 2023-07-07T20:05:40.2153892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 10 < 17) [ 29%] 2023-07-07T20:05:40.2154343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length SKIPPED [0.0008s] (Unsupported opset_version: 10 < 17) [ 29%] 2023-07-07T20:05:40.2154854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0587s] [ 29%] 2023-07-07T20:05:40.2155328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 SKIPPED [0.0015s] (Unsupported opset_version: 10 < 11) [ 29%] 2023-07-07T20:05:40.2155772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes PASSED [0.0127s] [ 29%] 2023-07-07T20:05:40.2156190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.0427s] [ 29%] 2023-07-07T20:05:40.2156600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0264s] [ 29%] 2023-07-07T20:05:40.2157042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time PASSED [0.0590s] [ 29%] 2023-07-07T20:05:40.2157409Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor PASSED [0.0218s] [ 29%] 2023-07-07T20:05:40.2157798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories PASSED [0.0373s] [ 29%] 2023-07-07T20:05:40.2158198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories_script PASSED [0.0066s] [ 29%] 2023-07-07T20:05:40.2158631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0253s] [ 29%] 2023-07-07T20:05:40.2159079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tensor_like_factories_script PASSED [0.0074s] [ 29%] 2023-07-07T20:05:40.2159448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tolist PASSED [0.0041s] [ 29%] 2023-07-07T20:05:40.2159818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_topk PASSED [0.0091s] [ 29%] 2023-07-07T20:05:40.2160195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k PASSED [0.0095s] [ 29%] 2023-07-07T20:05:40.2160573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0034s] [ 29%] 2023-07-07T20:05:40.2160936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0072s] [ 29%] 2023-07-07T20:05:40.2161315Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_10_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script SKIPPED [0.0007s] (Skip verify test for torch trace.) 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[ 30%] 2023-07-07T20:05:40.2174560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.2174715Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.2174865Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.2175017Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.2175031Z 2023-07-07T20:05:40.2175150Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.2175288Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.2175433Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.2175581Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.2175587Z 2023-07-07T20:05:40.2175734Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.2175877Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.2176024Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.2176174Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.2176180Z 2023-07-07T20:05:40.2176185Z 2023-07-07T20:05:40.2176326Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.2176472Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.2176604Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.2176755Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.2176788Z 2023-07-07T20:05:40.2176931Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.2177076Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.2177219Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.2177367Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.2177372Z 2023-07-07T20:05:40.2177459Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.2177604Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.2177733Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.2177993Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 30%] 2023-07-07T20:05:40.2178615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 30%] 2023-07-07T20:05:40.2179153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.2179301Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 30%] 2023-07-07T20:05:40.2179897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 30%] 2023-07-07T20:05:40.2180472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.2180621Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 30%] 2023-07-07T20:05:40.2180900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0115s] [ 30%] 2023-07-07T20:05:40.2181199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0138s] [ 30%] 2023-07-07T20:05:40.2181495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0149s] [ 30%] 2023-07-07T20:05:40.2181823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0139s] [ 30%] 2023-07-07T20:05:40.2182127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0138s] [ 30%] 2023-07-07T20:05:40.2182390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0154s] [ 30%] 2023-07-07T20:05:40.2182631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0127s] [ 30%] 2023-07-07T20:05:40.2182888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine PASSED [0.0233s] [ 30%] 2023-07-07T20:05:40.2183182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats PASSED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 30%] 2023-07-07T20:05:40.2221108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_del PASSED [0.0220s] [ 30%] 2023-07-07T20:05:40.2221384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 30%] 2023-07-07T20:05:40.2221695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0008s] (Unsupported opset_version: 11 < 13) [ 30%] 2023-07-07T20:05:40.2221940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pass PASSED [0.0976s] [ 30%] 2023-07-07T20:05:40.2222183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pop PASSED [0.0212s] [ 31%] 2023-07-07T20:05:40.2222477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pop_in_block SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 31%] 2023-07-07T20:05:40.2222794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_pop_nested SKIPPED [0.0010s] (Unsupported opset_version: 11 < 13) [ 31%] 2023-07-07T20:05:40.2223037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_list_set PASSED [0.0198s] [ 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0294s] [ 31%] 2023-07-07T20:05:40.2233648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state PASSED [0.0716s] [ 31%] 2023-07-07T20:05:40.2233905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size PASSED [0.0777s] [ 31%] 2023-07-07T20:05:40.2234162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0478s] [ 31%] 2023-07-07T20:05:40.2234441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_lt PASSED [0.0313s] [ 31%] 2023-07-07T20:05:40.2234798Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_matmul PASSED [0.0165s] [ 31%] 2023-07-07T20:05:40.2236324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_max_tensors PASSED [0.0089s] [ 31%] 2023-07-07T20:05:40.2236572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0090s] [ 31%] 2023-07-07T20:05:40.2236815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0173s] [ 31%] 2023-07-07T20:05:40.2237068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_dilation PASSED [0.0107s] [ 31%] 2023-07-07T20:05:40.2237324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0127s] [ 31%] 2023-07-07T20:05:40.2237567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_min_int PASSED [0.0440s] [ 31%] 2023-07-07T20:05:40.2237860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 31%] 2023-07-07T20:05:40.2239271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_multinomial PASSED [0.0194s] [ 31%] 2023-07-07T20:05:40.2239525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.1711s] [ 31%] 2023-07-07T20:05:40.2239873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0010s] (Unsupported opset_version: 11 < 13) [ 31%] 2023-07-07T20:05:40.2240108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_mv PASSED [0.0176s] [ 31%] 2023-07-07T20:05:40.2240348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_narrow PASSED [0.0111s] [ 31%] 2023-07-07T20:05:40.2240604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0111s] [ 31%] 2023-07-07T20:05:40.2240850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_new_empty PASSED [0.0297s] [ 31%] 2023-07-07T20:05:40.2241189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nllloss SKIPPED [0.0009s] (Unsupported opset_version: 11 < 12) [ 31%] 2023-07-07T20:05:40.2241492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 31%] 2023-07-07T20:05:40.2241728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nms PASSED [0.0175s] [ 31%] 2023-07-07T20:05:40.2242033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0008s] (Unsupported opset_version: 11 < 16) [ 31%] 2023-07-07T20:05:40.2243704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0007s] (Unsupported opset_version: 11 < 16) [ 31%] 2023-07-07T20:05:40.2243977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_outer SKIPPED [0.0007s] (Unsupported opset_version: 11 < 12) [ 31%] 2023-07-07T20:05:40.2244264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes PASSED [0.0171s] [ 31%] 2023-07-07T20:05:40.2244700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pad_circular_negative PASSED [0.0117s] [ 31%] 2023-07-07T20:05:40.2244946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pad_int PASSED [0.0158s] [ 31%] 2023-07-07T20:05:40.2245197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0101s] [ 31%] 2023-07-07T20:05:40.2245519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.2498s] [ 31%] 2023-07-07T20:05:40.2245759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_pow PASSED [0.1052s] [ 31%] 2023-07-07T20:05:40.2246001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_prelu PASSED [0.0155s] [ 31%] 2023-07-07T20:05:40.2246257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0160s] [ 31%] 2023-07-07T20:05:40.2246569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0187s] [ 31%] 2023-07-07T20:05:40.2246842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 31%] 2023-07-07T20:05:40.2247131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d_relu SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 31%] 2023-07-07T20:05:40.2247411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_qat_relu SKIPPED [0.0012s] (Unsupported opset_version: 11 < 13) [ 31%] 2023-07-07T20:05:40.2247679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d PASSED [0.0156s] [ 31%] 2023-07-07T20:05:40.2247935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d PASSED [0.0579s] [ 31%] 2023-07-07T20:05:40.2248190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0417s] [ 31%] 2023-07-07T20:05:40.2248449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv2d_relu PASSED [0.0439s] [ 31%] 2023-07-07T20:05:40.2248696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d PASSED [0.0435s] [ 31%] 2023-07-07T20:05:40.2248989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu PASSED [0.0436s] [ 31%] 2023-07-07T20:05:40.2249255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d PASSED [0.0785s] [ 31%] 2023-07-07T20:05:40.2249635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0003s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 31%] 2023-07-07T20:05:40.2249981Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided SKIPPED [0.0014s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2250285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2250595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm SKIPPED [0.0014s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2250947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2251238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2251552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2251883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_select SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2252189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2252489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2252726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rand PASSED [0.0186s] [ 31%] 2023-07-07T20:05:40.2253049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0607s] [ 31%] 2023-07-07T20:05:40.2253418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_randn PASSED [0.0202s] [ 31%] 2023-07-07T20:05:40.2253787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0322s] [ 31%] 2023-07-07T20:05:40.2254174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0201s] [ 31%] 2023-07-07T20:05:40.2254548Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0235s] [ 31%] 2023-07-07T20:05:40.2254919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum PASSED [0.0661s] [ 31%] 2023-07-07T20:05:40.2255339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0198s] [ 31%] 2023-07-07T20:05:40.2255729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0733s] [ 31%] 2023-07-07T20:05:40.2256080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0107s] [ 31%] 2023-07-07T20:05:40.2256490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0416s] [ 31%] 2023-07-07T20:05:40.2256884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0155s] [ 31%] 2023-07-07T20:05:40.2257262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_resize_images PASSED [0.1465s] [ 31%] 2023-07-07T20:05:40.2257899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0015s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2258512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2259132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2259789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2260393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2260991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2261603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2262192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0016s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2262786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2263432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2264053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2264664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2265280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2265779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) 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[ 31%] 2023-07-07T20:05:40.2267390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2267794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2268191Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) 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[ 31%] 2023-07-07T20:05:40.2270680Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 31%] 2023-07-07T20:05:40.2271074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) 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[ 32%] 2023-07-07T20:05:40.2296523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2296807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rnn_no_bias SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2297197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_roi_align SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 32%] 2023-07-07T20:05:40.2297571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 32%] 2023-07-07T20:05:40.2297822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_round PASSED [0.0092s] [ 32%] 2023-07-07T20:05:40.2298186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0142s] [ 32%] 2023-07-07T20:05:40.2298597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 32%] 2023-07-07T20:05:40.2298976Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0170s] [ 32%] 2023-07-07T20:05:40.2299348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add PASSED [0.0295s] [ 32%] 2023-07-07T20:05:40.2299859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0015s] (Unsupported opset_version: 11 < 16) [ 32%] 2023-07-07T20:05:40.2300406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0013s] (Unsupported opset_version: 11 < 16) [ 32%] 2023-07-07T20:05:40.2300865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0012s] (Unsupported opset_version: 11 < 16) [ 32%] 2023-07-07T20:05:40.2301234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_select PASSED [0.0125s] [ 32%] 2023-07-07T20:05:40.2301665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0130s] [ 32%] 2023-07-07T20:05:40.2302114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 32%] 2023-07-07T20:05:40.2302555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0008s] (Unsupported opset_version: 11 < 13) [ 32%] 2023-07-07T20:05:40.2303025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 11 < 13) [ 32%] 2023-07-07T20:05:40.2303393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0173s] [ 32%] 2023-07-07T20:05:40.2303764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0323s] [ 32%] 2023-07-07T20:05:40.2304132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4 PASSED [0.0272s] [ 32%] 2023-07-07T20:05:40.2304549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop PASSED [0.1138s] [ 32%] 2023-07-07T20:05:40.2304921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0503s] [ 32%] 2023-07-07T20:05:40.2305361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2305729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0120s] [ 32%] 2023-07-07T20:05:40.2306117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0184s] [ 32%] 2023-07-07T20:05:40.2306493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0112s] [ 32%] 2023-07-07T20:05:40.2306864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size PASSED [0.0522s] [ 32%] 2023-07-07T20:05:40.2307229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_softmax PASSED [0.1801s] [ 32%] 2023-07-07T20:05:40.2307478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_softplus PASSED [0.0344s] [ 32%] 2023-07-07T20:05:40.2307730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype PASSED [0.0104s] [ 32%] 2023-07-07T20:05:40.2308051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sort SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2308345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2308651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_split SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2308906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0110s] [ 32%] 2023-07-07T20:05:40.2309134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_square PASSED [0.0087s] [ 32%] 2023-07-07T20:05:40.2309389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0076s] [ 32%] 2023-07-07T20:05:40.2309660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg PASSED [0.0120s] [ 32%] 2023-07-07T20:05:40.2309906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0128s] [ 32%] 2023-07-07T20:05:40.2310160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0357s] [ 32%] 2023-07-07T20:05:40.2310394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std PASSED [0.0237s] [ 32%] 2023-07-07T20:05:40.2310645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0153s] [ 32%] 2023-07-07T20:05:40.2310916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0265s] [ 32%] 2023-07-07T20:05:40.2311169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0272s] [ 32%] 2023-07-07T20:05:40.2311422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0272s] [ 32%] 2023-07-07T20:05:40.2311708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2312012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2312303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0007s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2312583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0007s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2312870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0007s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2313200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2313502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0009s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2313797Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2314117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2314414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 32%] 2023-07-07T20:05:40.2314745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0369s] [ 32%] 2023-07-07T20:05:40.2315047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0534s] [ 32%] 2023-07-07T20:05:40.2315322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes PASSED [0.0161s] [ 32%] 2023-07-07T20:05:40.2315591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0128s] [ 32%] 2023-07-07T20:05:40.2315860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0393s] [ 32%] 2023-07-07T20:05:40.2316153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0191s] [ 32%] 2023-07-07T20:05:40.2316460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2316702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_take PASSED [0.0117s] [ 32%] 2023-07-07T20:05:40.2316932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0147s] [ 32%] 2023-07-07T20:05:40.2317200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing PASSED [0.0730s] [ 32%] 2023-07-07T20:05:40.2317487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 32%] 2023-07-07T20:05:40.2317787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 11 < 13) [ 32%] 2023-07-07T20:05:40.2318075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0007s] (Unsupported opset_version: 11 < 13) [ 32%] 2023-07-07T20:05:40.2322772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 11 < 12) [ 32%] 2023-07-07T20:05:40.2323024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_to_device PASSED [0.0204s] [ 32%] 2023-07-07T20:05:40.2323275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tolist PASSED [0.0073s] [ 32%] 2023-07-07T20:05:40.2323522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0121s] [ 32%] 2023-07-07T20:05:40.2323810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0095s] [ 32%] 2023-07-07T20:05:40.2324068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted PASSED [0.0165s] [ 32%] 2023-07-07T20:05:40.2324345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0096s] [ 32%] 2023-07-07T20:05:40.2324815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0201s] [ 32%] 2023-07-07T20:05:40.2325092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_triu SKIPPED [0.0009s] (Unsupported opset_version: 11 < 14) [ 32%] 2023-07-07T20:05:40.2325388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 32%] 2023-07-07T20:05:40.2326739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_type_as PASSED [0.0245s] [ 32%] 2023-07-07T20:05:40.2326979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unbind PASSED [0.0293s] [ 32%] 2023-07-07T20:05:40.2327277Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs SKIPPED [0.0009s] (Unsupported opset_version: 11 < 12) [ 32%] 2023-07-07T20:05:40.2327531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0595s] [ 32%] 2023-07-07T20:05:40.2327784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized PASSED [0.0169s] [ 32%] 2023-07-07T20:05:40.2328043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0262s] [ 32%] 2023-07-07T20:05:40.2328386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional SKIPPED [0.0009s] (Unsupported opset_version: 11 < 16) [ 32%] 2023-07-07T20:05:40.2328696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape SKIPPED [0.0008s] (Unsupported opset_version: 11 < 14) [ 32%] 2023-07-07T20:05:40.2328934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unique PASSED [0.0149s] [ 32%] 2023-07-07T20:05:40.2329217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim PASSED [0.0125s] [ 32%] 2023-07-07T20:05:40.2329512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_unsupported_pad SKIPPED [0.0013s] (Unsupported opset_version: 11 > 10) [ 32%] 2023-07-07T20:05:40.2329754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var PASSED [0.1949s] [ 32%] 2023-07-07T20:05:40.2330016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0333s] [ 32%] 2023-07-07T20:05:40.2330272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction PASSED [0.0218s] [ 32%] 2023-07-07T20:05:40.2330522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0277s] [ 32%] 2023-07-07T20:05:40.2330777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0340s] [ 32%] 2023-07-07T20:05:40.2331017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_view_as PASSED [0.0093s] [ 32%] 2023-07-07T20:05:40.2331287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic PASSED [0.0197s] [ 32%] 2023-07-07T20:05:40.2331542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim PASSED [0.0121s] [ 32%] 2023-07-07T20:05:40.2331830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_True::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 32%] 2023-07-07T20:05:40.2339623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2340546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2341441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.2341651Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.2341778Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.2341790Z 2023-07-07T20:05:40.2341988Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.2342210Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.2342583Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2343440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.2343718Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.2343937Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.2344157Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.2344166Z 2023-07-07T20:05:40.2344295Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.2344511Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.2344726Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.2344940Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.2344961Z 2023-07-07T20:05:40.2345167Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.2345387Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.2345604Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.2345828Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.2345836Z 2023-07-07T20:05:40.2345845Z 2023-07-07T20:05:40.2346093Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.2346301Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.2346510Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.2346738Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.2346748Z 2023-07-07T20:05:40.2346920Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.2347067Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.2347213Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.2347360Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.2347367Z 2023-07-07T20:05:40.2347453Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.2347595Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.2347738Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.2348000Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2348531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.2348682Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2349246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.2349437Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.2349580Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.2349731Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.2349737Z 2023-07-07T20:05:40.2349822Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.2349964Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.2350108Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.2350249Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.2350266Z 2023-07-07T20:05:40.2350428Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.2350570Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.2350717Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.2350865Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.2350871Z 2023-07-07T20:05:40.2350875Z 2023-07-07T20:05:40.2351017Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.2351190Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.2351334Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.2351482Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.2351487Z 2023-07-07T20:05:40.2351616Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.2351757Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.2351902Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.2352046Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.2352051Z 2023-07-07T20:05:40.2352135Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.2352279Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.2352419Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.2352676Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2353300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2353919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2354460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.2354693Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2354987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_auto_grad SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 32%] 2023-07-07T20:05:40.2355292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0232s] [ 32%] 2023-07-07T20:05:40.2355584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0208s] [ 32%] 2023-07-07T20:05:40.2355907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0224s] [ 32%] 2023-07-07T20:05:40.2356169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0217s] [ 32%] 2023-07-07T20:05:40.2356416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_baddbmm PASSED [0.0196s] [ 32%] 2023-07-07T20:05:40.2356701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0195s] [ 32%] 2023-07-07T20:05:40.2356968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0373s] [ 32%] 2023-07-07T20:05:40.2357219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d PASSED [0.0262s] [ 32%] 2023-07-07T20:05:40.2357506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0282s] [ 32%] 2023-07-07T20:05:40.2357754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d PASSED [0.1563s] [ 32%] 2023-07-07T20:05:40.2358012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer PASSED [0.2761s] [ 32%] 2023-07-07T20:05:40.2358257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_bernoulli PASSED [0.0369s] [ 32%] 2023-07-07T20:05:40.2358507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8 PASSED [0.0243s] [ 32%] 2023-07-07T20:05:40.2358774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_bucketize PASSED [0.0352s] [ 32%] 2023-07-07T20:05:40.2359021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_cast_to_bool PASSED [0.0180s] [ 32%] 2023-07-07T20:05:40.2359320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 SKIPPED [0.0014s] (Unsupported opset_version: 11 < 13) [ 32%] 2023-07-07T20:05:40.2359597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_celu SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 32%] 2023-07-07T20:05:40.2359880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_celu_cast SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 32%] 2023-07-07T20:05:40.2360125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_clamp PASSED [0.0476s] [ 32%] 2023-07-07T20:05:40.2360419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_clip_boxes_to_image SKIPPED [0.0014s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0009s] (Unsupported opset_version: 11 < 16) [ 33%] 2023-07-07T20:05:40.2375686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 11 < 16) [ 33%] 2023-07-07T20:05:40.2376015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0007s] (Unsupported opset_version: 11 < 16) [ 33%] 2023-07-07T20:05:40.2376342Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 11 > 8) [ 33%] 2023-07-07T20:05:40.2391658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_isfinite PASSED [0.0102s] [ 33%] 2023-07-07T20:05:40.2391899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_l1_norm PASSED [0.0181s] [ 33%] 2023-07-07T20:05:40.2392144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_layer_norm PASSED [0.0161s] [ 33%] 2023-07-07T20:05:40.2392391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0187s] [ 33%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero PASSED [0.0107s] [ 33%] 2023-07-07T20:05:40.2394188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linear PASSED [0.0306s] [ 33%] 2023-07-07T20:05:40.2394449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start PASSED [0.0137s] [ 33%] 2023-07-07T20:05:40.2394774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list PASSED [0.0232s] [ 33%] 2023-07-07T20:05:40.2395034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_append_in_block PASSED [0.0197s] [ 33%] 2023-07-07T20:05:40.2395346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 33%] 2023-07-07T20:05:40.2395588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_del PASSED [0.0213s] [ 33%] 2023-07-07T20:05:40.2395879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_del_nested SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 33%] 2023-07-07T20:05:40.2396127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_unpack PASSED [0.0204s] [ 33%] 2023-07-07T20:05:40.2396384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted PASSED [0.0225s] [ 33%] 2023-07-07T20:05:40.2396694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0082s] [ 33%] 2023-07-07T20:05:40.2396932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_log PASSED [0.0086s] [ 33%] 2023-07-07T20:05:40.2397206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_log1p PASSED [0.0097s] [ 33%] 2023-07-07T20:05:40.2397451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_logdet PASSED [0.0096s] [ 33%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_multi_dim PASSED [0.0222s] [ 33%] 2023-07-07T20:05:40.2399231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0615s] [ 33%] 2023-07-07T20:05:40.2399478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_transpose PASSED [0.0197s] [ 33%] 2023-07-07T20:05:40.2399720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list PASSED [0.0390s] [ 33%] 2023-07-07T20:05:40.2399965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0105s] [ 33%] 2023-07-07T20:05:40.2400234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_3 PASSED [0.0313s] [ 33%] 2023-07-07T20:05:40.2400497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding PASSED [0.2676s] [ 33%] 2023-07-07T20:05:40.2400752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size PASSED [0.0785s] [ 33%] 2023-07-07T20:05:40.2400995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_bias PASSED [0.3872s] [ 33%] 2023-07-07T20:05:40.2401242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state PASSED [0.0802s] [ 33%] 2023-07-07T20:05:40.2401485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lt PASSED [0.0324s] [ 33%] 2023-07-07T20:05:40.2401727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_lt_scalar PASSED [0.0178s] [ 33%] 2023-07-07T20:05:40.2401977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0209s] [ 33%] 2023-07-07T20:05:40.2402219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0094s] [ 33%] 2023-07-07T20:05:40.2402545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maximum_dtypes SKIPPED [0.0009s] (Unsupported opset_version: 11 < 12) [ 33%] 2023-07-07T20:05:40.2402790Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool PASSED [0.0087s] [ 33%] 2023-07-07T20:05:40.2403034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d PASSED [0.0082s] [ 33%] 2023-07-07T20:05:40.2403317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil PASSED [0.0170s] [ 33%] 2023-07-07T20:05:40.2403567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil PASSED [0.4402s] [ 33%] 2023-07-07T20:05:40.2403822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_adaptive PASSED [0.0103s] [ 33%] 2023-07-07T20:05:40.2404075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0093s] [ 33%] 2023-07-07T20:05:40.2404365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0128s] [ 33%] 2023-07-07T20:05:40.2404734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_meshgrid_scalar PASSED [0.0203s] [ 33%] 2023-07-07T20:05:40.2405027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_minimum_dtypes SKIPPED [0.0009s] (Unsupported opset_version: 11 < 12) [ 33%] 2023-07-07T20:05:40.2405268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mish PASSED [0.0137s] [ 33%] 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[ 33%] 2023-07-07T20:05:40.2405947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 33%] 2023-07-07T20:05:40.2406266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0007s] (Unsupported opset_version: 11 < 15) [ 33%] 2023-07-07T20:05:40.2406515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0163s] [ 33%] 2023-07-07T20:05:40.2406760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0251s] [ 33%] 2023-07-07T20:05:40.2407063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_multi_scale_roi_align SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 33%] 2023-07-07T20:05:40.2407316Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_multiple_conv_bn PASSED [0.1810s] [ 33%] 2023-07-07T20:05:40.2407629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 33%] 2023-07-07T20:05:40.2407917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_mv PASSED [0.0170s] [ 33%] 2023-07-07T20:05:40.2408165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num PASSED [0.0558s] [ 33%] 2023-07-07T20:05:40.2408415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0129s] [ 33%] 2023-07-07T20:05:40.2408655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0492s] [ 33%] 2023-07-07T20:05:40.2408936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_new_empty PASSED [0.0296s] [ 33%] 2023-07-07T20:05:40.2409178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_new_full PASSED [0.0296s] [ 33%] 2023-07-07T20:05:40.2409424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_new_ones PASSED [0.0282s] [ 33%] 2023-07-07T20:05:40.2409743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nllloss SKIPPED [0.0009s] (Unsupported opset_version: 11 < 12) [ 33%] 2023-07-07T20:05:40.2410026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 33%] 2023-07-07T20:05:40.2410312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_sum SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 33%] 2023-07-07T20:05:40.2410549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nms PASSED [0.0147s] [ 33%] 2023-07-07T20:05:40.2410877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 33%] 2023-07-07T20:05:40.2411166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_nonzero SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 11 < 16) [ 34%] 2023-07-07T20:05:40.2467291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0007s] (Unsupported opset_version: 11 < 16) [ 34%] 2023-07-07T20:05:40.2467656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 11 < 16) [ 34%] 2023-07-07T20:05:40.2467960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero SKIPPED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_ PASSED [0.0186s] [ 34%] 2023-07-07T20:05:40.2469503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_3 PASSED [0.0307s] [ 34%] 2023-07-07T20:05:40.2469738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5 PASSED [0.0769s] [ 34%] 2023-07-07T20:05:40.2470019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop PASSED [0.1146s] [ 34%] 2023-07-07T20:05:40.2470275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0498s] [ 34%] 2023-07-07T20:05:40.2470564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script PASSED [0.0252s] [ 34%] 2023-07-07T20:05:40.2470989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large_negone PASSED [0.0188s] [ 34%] 2023-07-07T20:05:40.2471368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_trace PASSED [0.0114s] [ 34%] 2023-07-07T20:05:40.2471759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0388s] [ 34%] 2023-07-07T20:05:40.2472165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_softmax PASSED [0.1318s] [ 34%] 2023-07-07T20:05:40.2472556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_softmax_large_values PASSED [0.0534s] [ 34%] 2023-07-07T20:05:40.2472941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0113s] [ 34%] 2023-07-07T20:05:40.2473387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 34%] 2023-07-07T20:05:40.2473823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 34%] 2023-07-07T20:05:40.2474232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0184s] [ 34%] 2023-07-07T20:05:40.2474590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_script PASSED [0.0351s] [ 34%] 2023-07-07T20:05:40.2475101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 34%] 2023-07-07T20:05:40.2475487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0009s] [ 34%] 2023-07-07T20:05:40.2475878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0117s] [ 34%] 2023-07-07T20:05:40.2476249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_square PASSED [0.0093s] [ 34%] 2023-07-07T20:05:40.2476627Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0082s] [ 34%] 2023-07-07T20:05:40.2477015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0129s] [ 34%] 2023-07-07T20:05:40.2477389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0128s] [ 34%] 2023-07-07T20:05:40.2477816Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_squeeze_without_no_op PASSED [0.0082s] [ 34%] 2023-07-07T20:05:40.2478178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std PASSED [0.0244s] [ 34%] 2023-07-07T20:05:40.2478557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std_along_dims PASSED [0.0267s] [ 34%] 2023-07-07T20:05:40.2478929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std_correction PASSED [0.0158s] [ 34%] 2023-07-07T20:05:40.2479346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0275s] [ 34%] 2023-07-07T20:05:40.2479770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 11 < 17) [ 34%] 2023-07-07T20:05:40.2480213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 34%] 2023-07-07T20:05:40.2480705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 34%] 2023-07-07T20:05:40.2481149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 34%] 2023-07-07T20:05:40.2481588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 34%] 2023-07-07T20:05:40.2482042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_same_size SKIPPED [0.0007s] (Unsupported opset_version: 11 < 17) [ 34%] 2023-07-07T20:05:40.2482530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0008s] (Unsupported opset_version: 11 < 17) [ 34%] 2023-07-07T20:05:40.2482892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_sum PASSED [0.0098s] [ 34%] 2023-07-07T20:05:40.2483301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if PASSED [0.0205s] [ 34%] 2023-07-07T20:05:40.2483750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1 PASSED [0.0131s] [ 34%] 2023-07-07T20:05:40.2484213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 34%] 2023-07-07T20:05:40.2484607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_take PASSED [0.0119s] [ 34%] 2023-07-07T20:05:40.2484860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0092s] [ 34%] 2023-07-07T20:05:40.2485123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script PASSED [0.0163s] [ 34%] 2023-07-07T20:05:40.2485456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing PASSED [0.0740s] [ 34%] 2023-07-07T20:05:40.2485741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0249s] [ 34%] 2023-07-07T20:05:40.2486063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 34%] 2023-07-07T20:05:40.2486394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes SKIPPED [0.0008s] (Unsupported opset_version: 11 < 13) [ 34%] 2023-07-07T20:05:40.2486694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 34%] 2023-07-07T20:05:40.2486937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_to_device PASSED [0.0203s] [ 34%] 2023-07-07T20:05:40.2487215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tolist PASSED [0.0072s] [ 34%] 2023-07-07T20:05:40.2487463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tuple_input PASSED [0.0084s] [ 34%] 2023-07-07T20:05:40.2487783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script SKIPPED [0.0008s] (Unsupported opset_version: 11 < 15) [ 34%] 2023-07-07T20:05:40.2488035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0105s] [ 34%] 2023-07-07T20:05:40.2488276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unbind PASSED [0.0297s] [ 34%] 2023-07-07T20:05:40.2488561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unbind_dynamic PASSED [0.0171s] [ 34%] 2023-07-07T20:05:40.2488802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unfold PASSED [0.0120s] [ 34%] 2023-07-07T20:05:40.2489099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 34%] 2023-07-07T20:05:40.2489340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_uninitialized PASSED [0.0151s] [ 34%] 2023-07-07T20:05:40.2489641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList SKIPPED [0.0009s] (Unsupported opset_version: 11 < 14) [ 34%] 2023-07-07T20:05:40.2489954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 11 < 14) [ 34%] 2023-07-07T20:05:40.2490249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 34%] 2023-07-07T20:05:40.2490546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim SKIPPED [0.0007s] (Unsupported opset_version: 11 < 13) [ 34%] 2023-07-07T20:05:40.2490865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad SKIPPED [0.0007s] (Unsupported opset_version: 11 > 10) [ 34%] 2023-07-07T20:05:40.2491107Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_var PASSED [0.1813s] [ 34%] 2023-07-07T20:05:40.2491354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0265s] [ 34%] 2023-07-07T20:05:40.2491634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims PASSED [0.0345s] [ 34%] 2023-07-07T20:05:40.2491875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_view PASSED [0.0100s] [ 34%] 2023-07-07T20:05:40.2492132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim PASSED [0.0122s] [ 34%] 2023-07-07T20:05:40.2492452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 35%] 2023-07-07T20:05:40.2492748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 35%] 2023-07-07T20:05:40.2493009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor PASSED [0.0100s] [ 35%] 2023-07-07T20:05:40.2493311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 35%] 2023-07-07T20:05:40.2493565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU PASSED [0.0987s] [ 35%] 2023-07-07T20:05:40.2493856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH PASSED [0.0906s] [ 35%] 2023-07-07T20:05:40.2494112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0066s] [ 35%] 2023-07-07T20:05:40.2494360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test__dim_arange PASSED [0.0107s] [ 35%] 2023-07-07T20:05:40.2494602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_all PASSED [0.0205s] [ 35%] 2023-07-07T20:05:40.2494914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 35%] 2023-07-07T20:05:40.2495161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0100s] [ 35%] 2023-07-07T20:05:40.2495405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor PASSED [0.0095s] [ 35%] 2023-07-07T20:05:40.2495656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic PASSED [0.0323s] [ 35%] 2023-07-07T20:05:40.2495907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype PASSED [0.0292s] [ 35%] 2023-07-07T20:05:40.2496188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type PASSED [0.0130s] [ 35%] 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2023-07-07T20:05:40.2497784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision PASSED [0.1379s] [ 35%] 2023-07-07T20:05:40.2498039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0204s] [ 35%] 2023-07-07T20:05:40.2498285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_as_strided PASSED [0.0277s] [ 35%] 2023-07-07T20:05:40.2498863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0154s] [ 35%] 2023-07-07T20:05:40.2499451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0054s] [ 35%] 2023-07-07T20:05:40.2499992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.2500107Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0043s] [ 35%] 2023-07-07T20:05:40.2500646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.2500784Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.2500868Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.2500880Z 2023-07-07T20:05:40.2501002Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.2501137Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.2501324Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0056s] [ 35%] 2023-07-07T20:05:40.2501869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0081s] [ 35%] 2023-07-07T20:05:40.2502418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0053s] [ 35%] 2023-07-07T20:05:40.2502992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0048s] [ 35%] 2023-07-07T20:05:40.2503545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0042s] [ 35%] 2023-07-07T20:05:40.2503819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_auto_grad PASSED [0.0086s] [ 35%] 2023-07-07T20:05:40.2504120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0138s] [ 35%] 2023-07-07T20:05:40.2504414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0180s] [ 35%] 2023-07-07T20:05:40.2504742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0185s] [ 35%] 2023-07-07T20:05:40.2505034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0218s] [ 35%] 2023-07-07T20:05:40.2505330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0425s] [ 35%] 2023-07-07T20:05:40.2505587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.8456s] [ 35%] 2023-07-07T20:05:40.2505855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0103s] [ 35%] 2023-07-07T20:05:40.2506109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_batched_nms PASSED [0.0298s] [ 35%] 2023-07-07T20:05:40.2506373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0197s] [ 35%] 2023-07-07T20:05:40.2506648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer PASSED [0.1608s] [ 35%] 2023-07-07T20:05:40.2506893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bernoulli PASSED [0.0131s] [ 35%] 2023-07-07T20:05:40.2507141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p PASSED [0.0257s] [ 35%] 2023-07-07T20:05:40.2507387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0141s] [ 35%] 2023-07-07T20:05:40.2507634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_bucketize PASSED [0.0192s] [ 35%] 2023-07-07T20:05:40.2507882Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cast_to_bool PASSED [0.0071s] [ 35%] 2023-07-07T20:05:40.2508187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_celu SKIPPED [0.0009s] (Unsupported opset_version: 11 < 12) [ 35%] 2023-07-07T20:05:40.2508469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_celu_cast SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 35%] 2023-07-07T20:05:40.2508712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_chunk PASSED [0.0674s] [ 35%] 2023-07-07T20:05:40.2508952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_clamp PASSED [0.0149s] [ 35%] 2023-07-07T20:05:40.2509209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn PASSED [0.0213s] [ 35%] 2023-07-07T20:05:40.2509455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_concat PASSED [0.0053s] [ 35%] 2023-07-07T20:05:40.2509704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic PASSED [0.0033s] [ 35%] 2023-07-07T20:05:40.2509980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0244s] [ 35%] 2023-07-07T20:05:40.2510228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.7406s] [ 35%] 2023-07-07T20:05:40.2510474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_conv_tbc PASSED [0.0107s] [ 35%] 2023-07-07T20:05:40.2510729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32 PASSED [0.0364s] [ 35%] 2023-07-07T20:05:40.2510988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script PASSED [0.0595s] [ 35%] 2023-07-07T20:05:40.2511256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cross PASSED [0.0474s] [ 35%] 2023-07-07T20:05:40.2511552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 35%] 2023-07-07T20:05:40.2511799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cste_script PASSED [0.0070s] [ 35%] 2023-07-07T20:05:40.2512035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_cumsum PASSED [0.0073s] [ 35%] 2023-07-07T20:05:40.2512284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting PASSED [0.0782s] [ 35%] 2023-07-07T20:05:40.2512532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dict_output PASSED [0.0068s] [ 35%] 2023-07-07T20:05:40.2512771Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dist_normal PASSED [0.0733s] [ 35%] 2023-07-07T20:05:40.2513028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0196s] [ 35%] 2023-07-07T20:05:40.2513281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0128s] [ 35%] 2023-07-07T20:05:40.2513564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_div_rounding_mode PASSED [0.1267s] [ 35%] 2023-07-07T20:05:40.2513805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dot PASSED [0.0076s] [ 35%] 2023-07-07T20:05:40.2514103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero SKIPPED [0.0009s] (Unsupported opset_version: 11 < 12) [ 35%] 2023-07-07T20:05:40.2514371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dtype PASSED [0.0030s] [ 35%] 2023-07-07T20:05:40.2514701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq PASSED [0.0028s] [ 35%] 2023-07-07T20:05:40.2514966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_start_out PASSED [0.0178s] [ 35%] 2023-07-07T20:05:40.2515220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk PASSED [0.0874s] [ 35%] 2023-07-07T20:05:40.2515507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as PASSED [0.0729s] [ 35%] 2023-07-07T20:05:40.2515776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_einsum SKIPPED [0.0010s] (Unsupported opset_version: 11 < 12) [ 35%] 2023-07-07T20:05:40.2516019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_embedding PASSED [0.0180s] [ 35%] 2023-07-07T20:05:40.2516271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_empty_branch PASSED [0.0036s] [ 35%] 2023-07-07T20:05:40.2516558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape PASSED [0.0245s] [ 35%] 2023-07-07T20:05:40.2516801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_eye PASSED [0.0223s] [ 35%] 2023-07-07T20:05:40.2517105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2517365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor PASSED [0.0070s] [ 35%] 2023-07-07T20:05:40.2517608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_flatten PASSED [0.0167s] [ 35%] 2023-07-07T20:05:40.2517853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_flatten2d PASSED [0.0044s] [ 35%] 2023-07-07T20:05:40.2518093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_flip PASSED [0.0054s] [ 35%] 2023-07-07T20:05:40.2518343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_floating_point PASSED [0.0070s] [ 35%] 2023-07-07T20:05:40.2518581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fmod PASSED [0.0041s] [ 35%] 2023-07-07T20:05:40.2518831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar PASSED [0.0048s] [ 35%] 2023-07-07T20:05:40.2519098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0070s] [ 35%] 2023-07-07T20:05:40.2519359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim PASSED [0.0069s] [ 35%] 2023-07-07T20:05:40.2519606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_full_like PASSED [0.0052s] [ 35%] 2023-07-07T20:05:40.2519883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_full_like_value PASSED [0.0074s] [ 35%] 2023-07-07T20:05:40.2520134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_full_script PASSED [0.0034s] [ 35%] 2023-07-07T20:05:40.2520381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0144s] [ 35%] 2023-07-07T20:05:40.2520655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d PASSED [0.0316s] [ 35%] 2023-07-07T20:05:40.2520908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block PASSED [0.0140s] [ 35%] 2023-07-07T20:05:40.2521168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold PASSED [0.0450s] [ 35%] 2023-07-07T20:05:40.2521408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_ge PASSED [0.0204s] [ 35%] 2023-07-07T20:05:40.2521650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_gelu PASSED [0.0096s] [ 35%] 2023-07-07T20:05:40.2521928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_getitem PASSED [0.0065s] [ 35%] 2023-07-07T20:05:40.2522257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0012s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2522583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2522907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2523247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2523576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0014s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2523900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2524278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2524777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2525110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 35%] 2023-07-07T20:05:40.2525497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_gt PASSED [0.0198s] [ 35%] 2023-07-07T20:05:40.2525900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic PASSED [0.0183s] [ 35%] 2023-07-07T20:05:40.2526299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic PASSED [0.0175s] [ 35%] 2023-07-07T20:05:40.2526745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype PASSED [0.0102s] [ 35%] 2023-07-07T20:05:40.2527124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_hardsigmoid PASSED [0.0136s] [ 35%] 2023-07-07T20:05:40.2527493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_if_fold PASSED [0.0616s] [ 35%] 2023-07-07T20:05:40.2527857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_im2col PASSED [0.0838s] [ 35%] 2023-07-07T20:05:40.2528228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice PASSED [0.0113s] [ 35%] 2023-07-07T20:05:40.2528658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0086s] [ 35%] 2023-07-07T20:05:40.2529056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes PASSED [0.0162s] [ 35%] 2023-07-07T20:05:40.2529428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_if PASSED [0.0054s] [ 35%] 2023-07-07T20:05:40.2529808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop PASSED [0.0338s] [ 35%] 2023-07-07T20:05:40.2530190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal PASSED [0.0428s] [ 35%] 2023-07-07T20:05:40.2530560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_mask PASSED [0.0283s] [ 35%] 2023-07-07T20:05:40.2530942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_mask_nd PASSED [0.0142s] [ 35%] 2023-07-07T20:05:40.2531314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put PASSED [0.0141s] [ 35%] 2023-07-07T20:05:40.2531702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis PASSED [0.1059s] [ 35%] 2023-07-07T20:05:40.2532125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2 PASSED [0.3107s] [ 35%] 2023-07-07T20:05:40.2532494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4 PASSED [0.1191s] [ 35%] 2023-07-07T20:05:40.2532866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5 PASSED [0.0941s] [ 35%] 2023-07-07T20:05:40.2533221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop PASSED [0.2816s] [ 35%] 2023-07-07T20:05:40.2533645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular PASSED [0.0231s] [ 35%] 2023-07-07T20:05:40.2534040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill PASSED [0.0114s] [ 35%] 2023-07-07T20:05:40.2534440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index PASSED [0.0084s] [ 35%] 2023-07-07T20:05:40.2534841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic PASSED [0.0032s] [ 35%] 2023-07-07T20:05:40.2535236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop PASSED [0.0039s] [ 35%] 2023-07-07T20:05:40.2535561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_with_loop_2 PASSED [0.0074s] [ 35%] 2023-07-07T20:05:40.2535813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero PASSED [0.0093s] [ 35%] 2023-07-07T20:05:40.2536066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv PASSED [0.0095s] [ 35%] 2023-07-07T20:05:40.2536384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats PASSED [0.0217s] [ 35%] 2023-07-07T20:05:40.2536655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm1d_runningstats PASSED [0.0471s] [ 35%] 2023-07-07T20:05:40.2536923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats PASSED [0.0370s] [ 35%] 2023-07-07T20:05:40.2537176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats PASSED [0.1329s] [ 35%] 2023-07-07T20:05:40.2537449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.3625s] [ 35%] 2023-07-07T20:05:40.2537712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats PASSED [0.3242s] [ 35%] 2023-07-07T20:05:40.2537980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.7838s] [ 35%] 2023-07-07T20:05:40.2538243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.3202s] [ 35%] 2023-07-07T20:05:40.2538523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer PASSED [0.3975s] [ 35%] 2023-07-07T20:05:40.2538815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample PASSED [0.3254s] [ 35%] 2023-07-07T20:05:40.2539061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_isinf PASSED [0.0056s] [ 35%] 2023-07-07T20:05:40.2539302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_isnan PASSED [0.0050s] [ 35%] 2023-07-07T20:05:40.2539571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0097s] [ 35%] 2023-07-07T20:05:40.2539819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0398s] [ 35%] 2023-07-07T20:05:40.2540056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_le PASSED [0.0262s] [ 35%] 2023-07-07T20:05:40.2540323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_len PASSED [0.0044s] [ 35%] 2023-07-07T20:05:40.2540554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_len_list PASSED [0.0044s] [ 35%] 2023-07-07T20:05:40.2540801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0487s] [ 35%] 2023-07-07T20:05:40.2541052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.2435s] [ 35%] 2023-07-07T20:05:40.2541295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linear PASSED [0.0196s] [ 35%] 2023-07-07T20:05:40.2541568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_linspace PASSED [0.0122s] [ 35%] 2023-07-07T20:05:40.2541826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block PASSED [0.0078s] [ 35%] 2023-07-07T20:05:40.2542131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0012s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2542424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2542716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_2 SKIPPED [0.0011s] (Unsupported opset_version: 11 < 14) [ 35%] 2023-07-07T20:05:40.2543026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2543315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2543603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2543918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2544166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_pass PASSED [0.1581s] [ 35%] 2023-07-07T20:05:40.2544443Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 35%] 2023-07-07T20:05:40.2544712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_set PASSED [0.0081s] [ 35%] 2023-07-07T20:05:40.2544961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_unpack PASSED [0.0082s] [ 35%] 2023-07-07T20:05:40.2545226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted PASSED [0.0132s] [ 35%] 2023-07-07T20:05:40.2545466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_log10 PASSED [0.0074s] [ 35%] 2023-07-07T20:05:40.2545747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_log2 PASSED [0.0070s] [ 35%] 2023-07-07T20:05:40.2545986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logdet PASSED [0.0264s] [ 35%] 2023-07-07T20:05:40.2546235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logical_and PASSED [0.0222s] [ 35%] 2023-07-07T20:05:40.2546473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logit PASSED [0.0779s] [ 35%] 2023-07-07T20:05:40.2546719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0403s] [ 35%] 2023-07-07T20:05:40.2547000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0045s] [ 35%] 2023-07-07T20:05:40.2547249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim PASSED [0.0045s] [ 35%] 2023-07-07T20:05:40.2547488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2 PASSED [0.0055s] [ 35%] 2023-07-07T20:05:40.2547733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0151s] [ 35%] 2023-07-07T20:05:40.2547995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.1683s] [ 35%] 2023-07-07T20:05:40.2548256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size PASSED [0.0392s] [ 35%] 2023-07-07T20:05:40.2548510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0159s] [ 35%] 2023-07-07T20:05:40.2548762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence PASSED [0.1346s] [ 35%] 2023-07-07T20:05:40.2548999Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_lt PASSED [0.0198s] [ 36%] 2023-07-07T20:05:40.2549275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_masked_fill PASSED [0.0155s] [ 36%] 2023-07-07T20:05:40.2549531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace PASSED [0.0077s] [ 36%] 2023-07-07T20:05:40.2549782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_masked_select PASSED [0.0103s] [ 36%] 2023-07-07T20:05:40.2550020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_matmul PASSED [0.0131s] [ 36%] 2023-07-07T20:05:40.2550287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_max_int PASSED [0.0094s] [ 36%] 2023-07-07T20:05:40.2550533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_max_tensors PASSED [0.0071s] [ 36%] 2023-07-07T20:05:40.2550773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum PASSED [0.0067s] [ 36%] 2023-07-07T20:05:40.2551042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0089s] [ 36%] 2023-07-07T20:05:40.2551288Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0169s] [ 36%] 2023-07-07T20:05:40.2551538Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool_3d_ceil PASSED [0.5643s] [ 36%] 2023-07-07T20:05:40.2551794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation PASSED [0.0112s] [ 36%] 2023-07-07T20:05:40.2552083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes SKIPPED [0.0012s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2552409Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional SKIPPED [0.0012s] (Unsupported opset_version: 11 < 15) [ 36%] 2023-07-07T20:05:40.2552713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0011s] (Unsupported opset_version: 11 < 15) [ 36%] 2023-07-07T20:05:40.2553030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 36%] 2023-07-07T20:05:40.2553276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_moveaxis PASSED [0.0187s] [ 36%] 2023-07-07T20:05:40.2553533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_multi_scale_roi_align PASSED [0.1699s] [ 36%] 2023-07-07T20:05:40.2553787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.2385s] [ 36%] 2023-07-07T20:05:40.2554100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 36%] 2023-07-07T20:05:40.2554332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num PASSED [0.0993s] [ 36%] 2023-07-07T20:05:40.2554705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0218s] [ 36%] 2023-07-07T20:05:40.2554969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0181s] [ 36%] 2023-07-07T20:05:40.2555215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_new_empty PASSED [0.0341s] [ 36%] 2023-07-07T20:05:40.2555496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_new_ones PASSED [0.0289s] [ 36%] 2023-07-07T20:05:40.2555742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_new_zeros PASSED [0.0289s] [ 36%] 2023-07-07T20:05:40.2556045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2556357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2556683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2556968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2557252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2557515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness PASSED [0.0179s] [ 36%] 2023-07-07T20:05:40.2557798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_norm_with_dtype PASSED [0.0088s] [ 36%] 2023-07-07T20:05:40.2558044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_normalize PASSED [0.0155s] [ 36%] 2023-07-07T20:05:40.2558340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 36%] 2023-07-07T20:05:40.2558653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 36%] 2023-07-07T20:05:40.2558962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 36%] 2023-07-07T20:05:40.2559270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 36%] 2023-07-07T20:05:40.2559581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 36%] 2023-07-07T20:05:40.2559922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 36%] 2023-07-07T20:05:40.2560202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_outer SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2560461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative PASSED [0.0110s] [ 36%] 2023-07-07T20:05:40.2560729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pad_int PASSED [0.0161s] [ 36%] 2023-07-07T20:05:40.2560987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.2383s] [ 36%] 2023-07-07T20:05:40.2561242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle PASSED [0.0238s] [ 36%] 2023-07-07T20:05:40.2561477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_pow PASSED [0.0572s] [ 36%] 2023-07-07T20:05:40.2561750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_prelu PASSED [0.0066s] [ 36%] 2023-07-07T20:05:40.2561997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar PASSED [0.0054s] [ 36%] 2023-07-07T20:05:40.2562279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_prim_min SKIPPED [0.0012s] (Unsupported opset_version: 11 < 12) [ 36%] 2023-07-07T20:05:40.2562546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0178s] [ 36%] 2023-07-07T20:05:40.2562861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 36%] 2023-07-07T20:05:40.2563164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 36%] 2023-07-07T20:05:40.2563446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_relu SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 36%] 2023-07-07T20:05:40.2563955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2564313Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2564527Z PASSED [0.0599s] [ 36%] 2023-07-07T20:05:40.2565083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2565507Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2565587Z PASSED [0.0259s] [ 36%] 2023-07-07T20:05:40.2565848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic PASSED [0.0342s] [ 36%] 2023-07-07T20:05:40.2566115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape PASSED [0.0260s] [ 36%] 2023-07-07T20:05:40.2566438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0382s] [ 36%] 2023-07-07T20:05:40.2566700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0554s] [ 36%] 2023-07-07T20:05:40.2566955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d PASSED [0.0606s] [ 36%] 2023-07-07T20:05:40.2567237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu PASSED [0.0620s] [ 36%] 2023-07-07T20:05:40.2567487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d PASSED [0.0702s] [ 36%] 2023-07-07T20:05:40.2567747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d_relu PASSED [0.0659s] [ 36%] 2023-07-07T20:05:40.2568012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d PASSED [0.0540s] [ 36%] 2023-07-07T20:05:40.2568269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear PASSED [0.0581s] [ 36%] 2023-07-07T20:05:40.2568578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm PASSED [0.0338s] [ 36%] 2023-07-07T20:05:40.2568845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm PASSED [0.0340s] [ 36%] 2023-07-07T20:05:40.2569123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish PASSED [0.0259s] [ 36%] 2023-07-07T20:05:40.2569399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0291s] [ 36%] 2023-07-07T20:05:40.2569667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid PASSED [0.0229s] [ 36%] 2023-07-07T20:05:40.2569929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh PASSED [0.0608s] [ 36%] 2023-07-07T20:05:40.2570186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view PASSED [0.0233s] [ 36%] 2023-07-07T20:05:40.2570428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand PASSED [0.0262s] [ 36%] 2023-07-07T20:05:40.2570664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0171s] [ 36%] 2023-07-07T20:05:40.2570946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size PASSED [0.0191s] [ 36%] 2023-07-07T20:05:40.2571200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype PASSED [0.0262s] [ 36%] 2023-07-07T20:05:40.2571438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_randn PASSED [0.0219s] [ 36%] 2023-07-07T20:05:40.2571709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0281s] [ 36%] 2023-07-07T20:05:40.2571964Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0197s] [ 36%] 2023-07-07T20:05:40.2572208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reciprocal PASSED [0.0260s] [ 36%] 2023-07-07T20:05:40.2572492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0079s] [ 36%] 2023-07-07T20:05:40.2572741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reduced_min_max PASSED [0.0272s] [ 36%] 2023-07-07T20:05:40.2572995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0160s] [ 36%] 2023-07-07T20:05:40.2573233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_relu6 PASSED [0.0123s] [ 36%] 2023-07-07T20:05:40.2573474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0166s] [ 36%] 2023-07-07T20:05:40.2574021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 36%] 2023-07-07T20:05:40.2574273Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0126s] [ 36%] 2023-07-07T20:05:40.2574892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2575250Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2575593Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2575673Z PASSED [0.0746s] [ 36%] 2023-07-07T20:05:40.2576284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2576661Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2577004Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2577377Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2577460Z PASSED [0.0714s] [ 36%] 2023-07-07T20:05:40.2577823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0543s] [ 36%] 2023-07-07T20:05:40.2578215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0539s] [ 36%] 2023-07-07T20:05:40.2578832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2579200Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2579538Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2579615Z PASSED [0.0645s] [ 36%] 2023-07-07T20:05:40.2580223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2580562Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2580902Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2581242Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2581347Z PASSED [0.0641s] [ 36%] 2023-07-07T20:05:40.2581954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2582366Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2582709Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2582789Z PASSED [0.0418s] [ 36%] 2023-07-07T20:05:40.2583488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2584049Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2584560Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2584681Z PASSED [0.0427s] [ 36%] 2023-07-07T20:05:40.2585642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2586160Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2586673Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2587187Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2587304Z PASSED [0.0406s] [ 36%] 2023-07-07T20:05:40.2588227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2588781Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2589290Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2589405Z PASSED [0.0358s] [ 36%] 2023-07-07T20:05:40.2590359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2590878Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2591411Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2591926Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2592038Z PASSED [0.0349s] [ 36%] 2023-07-07T20:05:40.2592585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0240s] [ 36%] 2023-07-07T20:05:40.2593542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2594062Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2594569Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2594761Z PASSED [0.0292s] [ 36%] 2023-07-07T20:05:40.2595680Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2596197Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2596742Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2596842Z PASSED [0.0490s] [ 36%] 2023-07-07T20:05:40.2597477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2597821Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2598159Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2598520Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2598601Z PASSED [0.0432s] [ 36%] 2023-07-07T20:05:40.2599203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2599575Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2599913Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2600252Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2600330Z PASSED [0.0291s] [ 36%] 2023-07-07T20:05:40.2600687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0193s] [ 36%] 2023-07-07T20:05:40.2601296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2601634Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2602004Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2602083Z PASSED [0.0254s] [ 36%] 2023-07-07T20:05:40.2602707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2603043Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2603386Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2603747Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2603824Z PASSED [0.0248s] [ 36%] 2023-07-07T20:05:40.2604173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0135s] [ 36%] 2023-07-07T20:05:40.2605001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2605352Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2605684Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2605768Z PASSED [0.0535s] [ 36%] 2023-07-07T20:05:40.2606125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0482s] [ 36%] 2023-07-07T20:05:40.2606734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2607070Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2607463Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2607543Z PASSED [0.0477s] [ 36%] 2023-07-07T20:05:40.2608186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2608529Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2608900Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2608976Z PASSED [0.0643s] [ 36%] 2023-07-07T20:05:40.2609579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2609915Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2610278Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2610356Z PASSED [0.0556s] [ 36%] 2023-07-07T20:05:40.2610955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2611300Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2611637Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2611975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2612083Z PASSED [0.0562s] [ 36%] 2023-07-07T20:05:40.2612689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2613032Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2613392Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2613460Z PASSED [0.0502s] [ 36%] 2023-07-07T20:05:40.2614063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2614433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2614770Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2614848Z PASSED [0.0492s] [ 36%] 2023-07-07T20:05:40.2615483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2615822Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2616152Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2616232Z PASSED [0.0455s] [ 36%] 2023-07-07T20:05:40.2616837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2617178Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2617547Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2617887Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2617962Z PASSED [0.0460s] [ 36%] 2023-07-07T20:05:40.2618603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2618949Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2619312Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2619649Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2619724Z PASSED [0.0455s] [ 36%] 2023-07-07T20:05:40.2620088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0305s] [ 36%] 2023-07-07T20:05:40.2620728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2621067Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2621402Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2621480Z PASSED [0.0390s] [ 36%] 2023-07-07T20:05:40.2622076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2622414Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2622774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2623111Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2623190Z PASSED [0.0388s] [ 36%] 2023-07-07T20:05:40.2623575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0230s] [ 36%] 2023-07-07T20:05:40.2624173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2624544Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2624880Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2624960Z PASSED [0.0406s] [ 36%] 2023-07-07T20:05:40.2625581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2625919Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2626254Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2626586Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2626664Z PASSED [0.0412s] [ 36%] 2023-07-07T20:05:40.2627265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2627605Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2628003Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2628338Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2628414Z PASSED [0.0412s] [ 36%] 2023-07-07T20:05:40.2628791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0313s] [ 36%] 2023-07-07T20:05:40.2629403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2629769Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2630107Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2630175Z PASSED [0.0397s] [ 36%] 2023-07-07T20:05:40.2630801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2631146Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2631483Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2631820Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2631898Z PASSED [0.0337s] [ 36%] 2023-07-07T20:05:40.2632266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0179s] [ 36%] 2023-07-07T20:05:40.2632811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0179s] [ 36%] 2023-07-07T20:05:40.2633731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2634287Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2634925Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2635434Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2635553Z PASSED [0.1558s] [ 36%] 2023-07-07T20:05:40.2636513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2637027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2637543Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2638086Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2638203Z PASSED [0.1550s] [ 36%] 2023-07-07T20:05:40.2638748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1385s] [ 36%] 2023-07-07T20:05:40.2639675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2640190Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2640699Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2640813Z PASSED [0.1479s] [ 36%] 2023-07-07T20:05:40.2641761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2642262Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2642687Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2643031Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2643141Z PASSED [0.1089s] [ 36%] 2023-07-07T20:05:40.2643752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2644092Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2644563Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2644984Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2645063Z PASSED [0.1098s] [ 36%] 2023-07-07T20:05:40.2645428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1149s] [ 36%] 2023-07-07T20:05:40.2645789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.1068s] [ 36%] 2023-07-07T20:05:40.2646394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2646746Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2647128Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2647206Z PASSED [0.0714s] [ 36%] 2023-07-07T20:05:40.2647805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2648174Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2648514Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2648887Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2648964Z PASSED [0.0714s] [ 36%] 2023-07-07T20:05:40.2649561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2649929Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2650265Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2650597Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2650661Z PASSED [0.0720s] [ 36%] 2023-07-07T20:05:40.2651012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0604s] [ 36%] 2023-07-07T20:05:40.2651367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0590s] [ 36%] 2023-07-07T20:05:40.2651974Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2652343Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2652685Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2652765Z PASSED [0.0673s] [ 36%] 2023-07-07T20:05:40.2653392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2653735Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2654103Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2654180Z PASSED [0.0670s] [ 36%] 2023-07-07T20:05:40.2654781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2655154Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2655493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2655824Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2655899Z PASSED [0.0674s] [ 36%] 2023-07-07T20:05:40.2656252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0536s] [ 36%] 2023-07-07T20:05:40.2656863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2657203Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2657564Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2657642Z PASSED [0.0533s] [ 36%] 2023-07-07T20:05:40.2658271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2658609Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2658948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2659310Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2659375Z PASSED [0.0497s] [ 36%] 2023-07-07T20:05:40.2659980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2660347Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2660686Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2661018Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2661099Z PASSED [0.0483s] [ 36%] 2023-07-07T20:05:40.2661465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0368s] [ 36%] 2023-07-07T20:05:40.2662065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2662401Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2662771Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2662851Z PASSED [0.0414s] [ 36%] 2023-07-07T20:05:40.2663484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2663824Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2664159Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2664272Z PASSED [0.0401s] [ 36%] 2023-07-07T20:05:40.2664618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0299s] [ 36%] 2023-07-07T20:05:40.2665215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2665581Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2665916Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2665993Z PASSED [0.0466s] [ 36%] 2023-07-07T20:05:40.2666585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2666928Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2667267Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2667331Z PASSED [0.0374s] [ 36%] 2023-07-07T20:05:40.2667935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2668309Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2668670Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2669003Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2669081Z PASSED [0.0340s] [ 36%] 2023-07-07T20:05:40.2669432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0234s] [ 36%] 2023-07-07T20:05:40.2670071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2670415Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2670809Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2671147Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2671224Z PASSED [0.1186s] [ 36%] 2023-07-07T20:05:40.2671830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2672179Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2672512Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2672849Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2672956Z PASSED [0.1181s] [ 36%] 2023-07-07T20:05:40.2673568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2673935Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2674274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2674699Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2674818Z PASSED [0.1143s] [ 36%] 2023-07-07T20:05:40.2675735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2676248Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2676791Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2677289Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2677401Z PASSED [0.1159s] [ 36%] 2023-07-07T20:05:40.2677948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1598s] [ 36%] 2023-07-07T20:05:40.2678864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2679382Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2679894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2680447Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2680565Z PASSED [0.1001s] [ 36%] 2023-07-07T20:05:40.2681097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1094s] [ 36%] 2023-07-07T20:05:40.2682044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2682595Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2683103Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2683214Z PASSED [0.1001s] [ 36%] 2023-07-07T20:05:40.2684126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2684851Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2685198Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2685275Z PASSED [0.1002s] [ 36%] 2023-07-07T20:05:40.2690304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2690685Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2691028Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2691364Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2691496Z PASSED [0.0956s] [ 36%] 2023-07-07T20:05:40.2692167Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2692543Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2692885Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2693261Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2693326Z PASSED [0.0946s] [ 36%] 2023-07-07T20:05:40.2693681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0940s] [ 36%] 2023-07-07T20:05:40.2694296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2694645Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2694982Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2695062Z PASSED [0.0859s] [ 36%] 2023-07-07T20:05:40.2695699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2696038Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2696376Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2696739Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2696819Z PASSED [0.0861s] [ 36%] 2023-07-07T20:05:40.2697454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2697793Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2698130Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2698490Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2698566Z PASSED [0.0718s] [ 36%] 2023-07-07T20:05:40.2698928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0641s] [ 36%] 2023-07-07T20:05:40.2699287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0934s] [ 36%] 2023-07-07T20:05:40.2699896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2700237Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2700574Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2700649Z PASSED [0.0646s] [ 36%] 2023-07-07T20:05:40.2701296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2701628Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2701988Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2702327Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2702392Z PASSED [0.0630s] [ 36%] 2023-07-07T20:05:40.2702775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0503s] [ 36%] 2023-07-07T20:05:40.2703375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2703738Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2704074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2704151Z PASSED [0.0917s] [ 36%] 2023-07-07T20:05:40.2704754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2705093Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2705428Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2705762Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2705840Z PASSED [0.0533s] [ 36%] 2023-07-07T20:05:40.2706469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2706809Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2707172Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2707505Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2707581Z PASSED [0.0525s] [ 36%] 2023-07-07T20:05:40.2708212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2708554Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2708919Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2708995Z PASSED [0.0328s] [ 36%] 2023-07-07T20:05:40.2709600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2709941Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2710277Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2710344Z PASSED [0.0325s] [ 36%] 2023-07-07T20:05:40.2710949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2711318Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2711656Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2711992Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2712094Z PASSED [0.0324s] [ 36%] 2023-07-07T20:05:40.2712450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0307s] [ 36%] 2023-07-07T20:05:40.2712959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2713297Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2713631Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2713995Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2714337Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2714756Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2715090Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2715430Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2715764Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2716093Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2716465Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2716802Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2717135Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2717499Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2717569Z PASSED [0.1785s] [ 36%] 2023-07-07T20:05:40.2717814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0075s] [ 37%] 2023-07-07T20:05:40.2718067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0152s] [ 37%] 2023-07-07T20:05:40.2718335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter PASSED [0.0185s] [ 37%] 2023-07-07T20:05:40.2718653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src SKIPPED [0.0009s] (Unsupported opset_version: 11 < 16) [ 37%] 2023-07-07T20:05:40.2718996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 11 < 16) [ 37%] 2023-07-07T20:05:40.2719390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 11 < 16) [ 37%] 2023-07-07T20:05:40.2719844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0007s] (Unsupported opset_version: 11 < 16) [ 37%] 2023-07-07T20:05:40.2720306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0007s] (Unsupported opset_version: 11 < 16) [ 37%] 2023-07-07T20:05:40.2720702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0070s] [ 37%] 2023-07-07T20:05:40.2721149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2721514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_ PASSED [0.0079s] [ 37%] 2023-07-07T20:05:40.2721883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0060s] [ 37%] 2023-07-07T20:05:40.2722253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0073s] [ 37%] 2023-07-07T20:05:40.2722625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop PASSED [0.0072s] [ 37%] 2023-07-07T20:05:40.2723044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0341s] [ 37%] 2023-07-07T20:05:40.2723433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold PASSED [0.0064s] [ 37%] 2023-07-07T20:05:40.2723826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script PASSED [0.0032s] [ 37%] 2023-07-07T20:05:40.2724224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script PASSED [0.0181s] [ 37%] 2023-07-07T20:05:40.2724845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end PASSED [0.0258s] [ 37%] 2023-07-07T20:05:40.2725250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0094s] [ 37%] 2023-07-07T20:05:40.2725622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0065s] [ 37%] 2023-07-07T20:05:40.2726073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index PASSED [0.0635s] [ 37%] 2023-07-07T20:05:40.2726471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0391s] [ 37%] 2023-07-07T20:05:40.2726847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0445s] [ 37%] 2023-07-07T20:05:40.2727253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sort PASSED [0.0223s] [ 37%] 2023-07-07T20:05:40.2727633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending PASSED [0.0228s] [ 37%] 2023-07-07T20:05:40.2728000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic PASSED [0.0080s] [ 37%] 2023-07-07T20:05:40.2728381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_size_as_list PASSED [0.0155s] [ 37%] 2023-07-07T20:05:40.2728777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice PASSED [0.0337s] [ 37%] 2023-07-07T20:05:40.2729161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0014s] [ 37%] 2023-07-07T20:05:40.2729546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0068s] [ 37%] 2023-07-07T20:05:40.2729996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim SKIPPED [0.0012s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2730369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg PASSED [0.0122s] [ 37%] 2023-07-07T20:05:40.2730743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0113s] [ 37%] 2023-07-07T20:05:40.2731129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0360s] [ 37%] 2023-07-07T20:05:40.2731553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0060s] [ 37%] 2023-07-07T20:05:40.2731798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stack PASSED [0.0083s] [ 37%] 2023-07-07T20:05:40.2732048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0563s] [ 37%] 2023-07-07T20:05:40.2732330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0145s] [ 37%] 2023-07-07T20:05:40.2732560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0195s] [ 37%] 2023-07-07T20:05:40.2732818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0249s] [ 37%] 2023-07-07T20:05:40.2733106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0013s] (Unsupported opset_version: 11 < 17) [ 37%] 2023-07-07T20:05:40.2733444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0012s] (Unsupported opset_version: 11 < 17) [ 37%] 2023-07-07T20:05:40.2733740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 37%] 2023-07-07T20:05:40.2734035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 37%] 2023-07-07T20:05:40.2734366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 37%] 2023-07-07T20:05:40.2734667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 37%] 2023-07-07T20:05:40.2734908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sum PASSED [0.0064s] [ 37%] 2023-07-07T20:05:40.2735164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0332s] [ 37%] 2023-07-07T20:05:40.2735433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0591s] [ 37%] 2023-07-07T20:05:40.2735718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange PASSED [0.0706s] [ 37%] 2023-07-07T20:05:40.2735991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0402s] [ 37%] 2023-07-07T20:05:40.2736261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0601s] [ 37%] 2023-07-07T20:05:40.2736519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0152s] [ 37%] 2023-07-07T20:05:40.2736789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_take PASSED [0.0086s] [ 37%] 2023-07-07T20:05:40.2737045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories PASSED [0.0369s] [ 37%] 2023-07-07T20:05:40.2737314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing PASSED [0.0774s] [ 37%] 2023-07-07T20:05:40.2737590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0206s] [ 37%] 2023-07-07T20:05:40.2737889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0074s] [ 37%] 2023-07-07T20:05:40.2738180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0012s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2738506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2738799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2739091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2739369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0099s] [ 37%] 2023-07-07T20:05:40.2739612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0057s] [ 37%] 2023-07-07T20:05:40.2739867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_transform_images PASSED [0.3040s] [ 37%] 2023-07-07T20:05:40.2740113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0066s] [ 37%] 2023-07-07T20:05:40.2740384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception PASSED [0.0093s] [ 37%] 2023-07-07T20:05:40.2740634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic PASSED [0.0076s] [ 37%] 2023-07-07T20:05:40.2740873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unfold PASSED [0.0138s] [ 37%] 2023-07-07T20:05:40.2741169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unfold_dynamic_inputs SKIPPED [0.0014s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2741428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0077s] [ 37%] 2023-07-07T20:05:40.2741729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0013s] (Unsupported opset_version: 11 < 14) [ 37%] 2023-07-07T20:05:40.2742056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 37%] 2023-07-07T20:05:40.2742369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape SKIPPED [0.0012s] (Unsupported opset_version: 11 < 14) [ 37%] 2023-07-07T20:05:40.2742611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unique PASSED [0.0088s] [ 37%] 2023-07-07T20:05:40.2742858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk PASSED [0.0081s] [ 37%] 2023-07-07T20:05:40.2743132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0062s] [ 37%] 2023-07-07T20:05:40.2743384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0184s] [ 37%] 2023-07-07T20:05:40.2743637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0698s] [ 37%] 2023-07-07T20:05:40.2743894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_view_as PASSED [0.0068s] [ 37%] 2023-07-07T20:05:40.2744154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim PASSED [0.0178s] [ 37%] 2023-07-07T20:05:40.2744405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_where_condition PASSED [0.0293s] [ 37%] 2023-07-07T20:05:40.2744693Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor PASSED [0.0067s] [ 37%] 2023-07-07T20:05:40.2744953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.1327s] [ 37%] 2023-07-07T20:05:40.2745220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.0635s] [ 37%] 2023-07-07T20:05:40.2745481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0635s] [ 37%] 2023-07-07T20:05:40.2745742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input PASSED [0.0116s] [ 37%] 2023-07-07T20:05:40.2746002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast PASSED [0.0081s] [ 37%] 2023-07-07T20:05:40.2746248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0142s] [ 37%] 2023-07-07T20:05:40.2746492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0133s] [ 37%] 2023-07-07T20:05:40.2746731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_all PASSED [0.0238s] [ 37%] 2023-07-07T20:05:40.2747045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 37%] 2023-07-07T20:05:40.2747313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor PASSED [0.0089s] [ 37%] 2023-07-07T20:05:40.2747553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_any PASSED [0.0225s] [ 37%] 2023-07-07T20:05:40.2747806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0281s] [ 37%] 2023-07-07T20:05:40.2748054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_no_type PASSED [0.0117s] [ 37%] 2023-07-07T20:05:40.2748338Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0177s] [ 37%] 2023-07-07T20:05:40.2748598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step PASSED [0.0210s] [ 37%] 2023-07-07T20:05:40.2748850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax PASSED [0.0226s] [ 37%] 2023-07-07T20:05:40.2749191Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2749440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0125s] [ 37%] 2023-07-07T20:05:40.2749716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision PASSED [0.1305s] [ 37%] 2023-07-07T20:05:40.2750004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0150s] [ 37%] 2023-07-07T20:05:40.2750264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0236s] [ 37%] 2023-07-07T20:05:40.2750846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ PASSED [0.0131s] [ 37%] 2023-07-07T20:05:40.2751328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ PASSED [0.0140s] [ 37%] 2023-07-07T20:05:40.2751881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0053s] [ 37%] 2023-07-07T20:05:40.2752437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.2752579Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.2752663Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.2752673Z 2023-07-07T20:05:40.2752812Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.2752950Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.2753140Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0049s] [ 37%] 2023-07-07T20:05:40.2753727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0054s] [ 37%] 2023-07-07T20:05:40.2754267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.2754383Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0048s] [ 37%] 2023-07-07T20:05:40.2755012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.2755189Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.2755263Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.2755269Z 2023-07-07T20:05:40.2755404Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.2755538Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.2755727Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0045s] [ 37%] 2023-07-07T20:05:40.2756317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.2756470Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.2756618Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.2756768Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.2756774Z 2023-07-07T20:05:40.2756861Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.2757028Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.2757176Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.2757328Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.2757334Z 2023-07-07T20:05:40.2757481Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.2757623Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.2757769Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.2757918Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.2757924Z 2023-07-07T20:05:40.2757929Z 2023-07-07T20:05:40.2758075Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.2758206Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.2758352Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.2758504Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.2758512Z 2023-07-07T20:05:40.2758656Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.2758800Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.2758944Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.2759091Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.2759096Z 2023-07-07T20:05:40.2759180Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.2759313Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.2759455Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.2759650Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0048s] [ 37%] 2023-07-07T20:05:40.2759902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool PASSED [0.0156s] [ 37%] 2023-07-07T20:05:40.2760194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0109s] [ 37%] 2023-07-07T20:05:40.2760500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0162s] [ 37%] 2023-07-07T20:05:40.2760800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0181s] [ 37%] 2023-07-07T20:05:40.2761096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0282s] [ 37%] 2023-07-07T20:05:40.2761375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil PASSED [0.8010s] [ 37%] 2023-07-07T20:05:40.2761626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_baddbmm PASSED [0.0097s] [ 37%] 2023-07-07T20:05:40.2761880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0077s] [ 37%] 2023-07-07T20:05:40.2762156Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0144s] [ 37%] 2023-07-07T20:05:40.2762430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0229s] [ 37%] 2023-07-07T20:05:40.2762677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d PASSED [0.0147s] [ 37%] 2023-07-07T20:05:40.2762966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0143s] [ 37%] 2023-07-07T20:05:40.2763233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats PASSED [0.0268s] [ 37%] 2023-07-07T20:05:40.2763484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d PASSED [0.1667s] [ 37%] 2023-07-07T20:05:40.2763754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer PASSED [0.2282s] [ 37%] 2023-07-07T20:05:40.2764009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bernoulli PASSED [0.0280s] [ 37%] 2023-07-07T20:05:40.2764260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p PASSED [0.0418s] [ 37%] 2023-07-07T20:05:40.2764709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits SKIPPED [0.0015s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2764963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bitshift PASSED [0.0220s] [ 37%] 2023-07-07T20:05:40.2765214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8 PASSED [0.0164s] [ 37%] 2023-07-07T20:05:40.2765461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_bucketize PASSED [0.0304s] [ 37%] 2023-07-07T20:05:40.2765805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 SKIPPED [0.0016s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2766049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cdist PASSED [0.0129s] [ 37%] 2023-07-07T20:05:40.2766330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_celu SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2766611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_celu_cast SKIPPED [0.0012s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2766913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image PASSED [0.0741s] [ 37%] 2023-07-07T20:05:40.2767163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_concat PASSED [0.0087s] [ 37%] 2023-07-07T20:05:40.2767422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference PASSED [0.0885s] [ 37%] 2023-07-07T20:05:40.2767708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding PASSED [0.8979s] [ 37%] 2023-07-07T20:05:40.2767968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32 PASSED [0.0495s] [ 37%] 2023-07-07T20:05:40.2768214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_copy_ PASSED [0.2760s] [ 37%] 2023-07-07T20:05:40.2768504Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis PASSED [0.0979s] [ 37%] 2023-07-07T20:05:40.2768761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script PASSED [0.0586s] [ 37%] 2023-07-07T20:05:40.2769018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cosine_similarity PASSED [0.0137s] [ 37%] 2023-07-07T20:05:40.2769246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cross PASSED [0.0447s] [ 37%] 2023-07-07T20:05:40.2769500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_cumsum_with_cast PASSED [0.0147s] [ 37%] 2023-07-07T20:05:40.2769753Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_derive_index PASSED [0.0704s] [ 37%] 2023-07-07T20:05:40.2770016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting PASSED [0.0718s] [ 37%] 2023-07-07T20:05:40.2770256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_det PASSED [0.0180s] [ 37%] 2023-07-07T20:05:40.2770499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_device_eq PASSED [0.0079s] [ 37%] 2023-07-07T20:05:40.2770742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dict PASSED [0.0110s] [ 37%] 2023-07-07T20:05:40.2770989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dict_output PASSED [0.0070s] [ 37%] 2023-07-07T20:05:40.2771274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dim_1 PASSED [0.0055s] [ 37%] 2023-07-07T20:05:40.2771523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dist_normal PASSED [0.0805s] [ 37%] 2023-07-07T20:05:40.2771774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform PASSED [0.0766s] [ 37%] 2023-07-07T20:05:40.2772036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness PASSED [0.0164s] [ 37%] 2023-07-07T20:05:40.2772312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace PASSED [0.0093s] [ 37%] 2023-07-07T20:05:40.2772556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dot PASSED [0.0081s] [ 37%] 2023-07-07T20:05:40.2772798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dropout PASSED [0.0049s] [ 37%] 2023-07-07T20:05:40.2773126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dropout_training_zero SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2773385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out PASSED [0.0071s] [ 37%] 2023-07-07T20:05:40.2773651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_start_out PASSED [0.0181s] [ 37%] 2023-07-07T20:05:40.2773930Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk PASSED [0.1003s] [ 37%] 2023-07-07T20:05:40.2774234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2774519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_einsum SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 37%] 2023-07-07T20:05:40.2774767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding PASSED [0.0205s] [ 37%] 2023-07-07T20:05:40.2775043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights PASSED [0.0325s] [ 37%] 2023-07-07T20:05:40.2775322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights PASSED [0.0647s] [ 37%] 2023-07-07T20:05:40.2775577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_module PASSED [0.0284s] [ 37%] 2023-07-07T20:05:40.2775831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_embedding_renorm PASSED [0.0164s] [ 37%] 2023-07-07T20:05:40.2776062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_expand PASSED [0.0370s] [ 37%] 2023-07-07T20:05:40.2776362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel SKIPPED [0.0009s] (Unsupported opset_version: 11 < 13) [ 37%] 2023-07-07T20:05:40.2776666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor PASSED [0.0100s] [ 37%] 2023-07-07T20:05:40.2776908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fill PASSED [0.0238s] [ 37%] 2023-07-07T20:05:40.2777153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flatten PASSED [0.0256s] [ 37%] 2023-07-07T20:05:40.2777431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg PASSED [0.0154s] [ 37%] 2023-07-07T20:05:40.2777683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes PASSED [0.0099s] [ 37%] 2023-07-07T20:05:40.2777928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_flip PASSED [0.0061s] [ 37%] 2023-07-07T20:05:40.2778179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floating_point PASSED [0.0071s] [ 37%] 2023-07-07T20:05:40.2778476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floating_point_infer_dtype PASSED [0.0068s] [ 37%] 2023-07-07T20:05:40.2778792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floor_div SKIPPED [0.0002s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 37%] 2023-07-07T20:05:40.2779114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 37%] 2023-07-07T20:05:40.2779456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_floordiv SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 37%] 2023-07-07T20:05:40.2779702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fmod PASSED [0.0045s] [ 38%] 2023-07-07T20:05:40.2779938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar PASSED [0.0054s] [ 38%] 2023-07-07T20:05:40.2780199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim PASSED [0.0080s] [ 38%] 2023-07-07T20:05:40.2780452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_full_script PASSED [0.0039s] [ 38%] 2023-07-07T20:05:40.2780696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_full_trace PASSED [0.0070s] [ 38%] 2023-07-07T20:05:40.2780938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm PASSED [0.0050s] [ 38%] 2023-07-07T20:05:40.2781185Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn1d PASSED [0.0208s] [ 38%] 2023-07-07T20:05:40.2781436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d PASSED [0.0199s] [ 38%] 2023-07-07T20:05:40.2781688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block PASSED [0.0137s] [ 38%] 2023-07-07T20:05:40.2781967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gather PASSED [0.0069s] [ 38%] 2023-07-07T20:05:40.2782214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar PASSED [0.0132s] [ 38%] 2023-07-07T20:05:40.2782457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gelu PASSED [0.0096s] [ 38%] 2023-07-07T20:05:40.2782728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_getitem PASSED [0.0062s] [ 38%] 2023-07-07T20:05:40.2783048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0012s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2783387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2783745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0014s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2784072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2784414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2784771Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2785110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2785442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2785782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2786116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2786438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2786770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 11 < 16) [ 38%] 2023-07-07T20:05:40.2787072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_groupnorm PASSED [0.1561s] [ 38%] 2023-07-07T20:05:40.2787324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias PASSED [0.1172s] [ 38%] 2023-07-07T20:05:40.2787582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive PASSED [0.0072s] [ 38%] 2023-07-07T20:05:40.2787827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar PASSED [0.0129s] [ 38%] 2023-07-07T20:05:40.2788122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values PASSED [0.0196s] [ 38%] 2023-07-07T20:05:40.2788382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic PASSED [0.0200s] [ 38%] 2023-07-07T20:05:40.2788617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hardshrink PASSED [0.0305s] [ 38%] 2023-07-07T20:05:40.2788905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype PASSED [0.0110s] [ 38%] 2023-07-07T20:05:40.2789153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_hardtanh PASSED [0.0087s] [ 38%] 2023-07-07T20:05:40.2789394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_if_fold PASSED [0.0704s] [ 38%] 2023-07-07T20:05:40.2789677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_if_list SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2789954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_if_transpose PASSED [0.0075s] [ 38%] 2023-07-07T20:05:40.2790196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_im2col PASSED [0.1075s] [ 38%] 2023-07-07T20:05:40.2790451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_2d_neg_slice PASSED [0.0118s] [ 38%] 2023-07-07T20:05:40.2790708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint PASSED [0.0122s] [ 38%] 2023-07-07T20:05:40.2790969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0184s] [ 38%] 2023-07-07T20:05:40.2791219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_copy PASSED [0.0181s] [ 38%] 2023-07-07T20:05:40.2791461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_fill PASSED [0.0197s] [ 38%] 2023-07-07T20:05:40.2791688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_mask PASSED [0.0325s] [ 38%] 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2023-07-07T20:05:40.2793256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index PASSED [0.0093s] [ 38%] 2023-07-07T20:05:40.2793540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic PASSED [0.0050s] [ 38%] 2023-07-07T20:05:40.2793808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop PASSED [0.0072s] [ 38%] 2023-07-07T20:05:40.2794056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_fill PASSED [0.0157s] [ 38%] 2023-07-07T20:05:40.2794329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_inplace_list PASSED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats PASSED [0.3428s] [ 38%] 2023-07-07T20:05:40.2797353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer PASSED [0.4108s] [ 38%] 2023-07-07T20:05:40.2797615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training PASSED [0.2800s] [ 38%] 2023-07-07T20:05:40.2797930Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer PASSED [0.2655s] [ 38%] 2023-07-07T20:05:40.2798194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_isnan PASSED [0.0088s] [ 38%] 2023-07-07T20:05:40.2799842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_layer_norm PASSED [0.0326s] [ 38%] 2023-07-07T20:05:40.2800089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0150s] [ 38%] 2023-07-07T20:05:40.2800332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lerp PASSED [0.0697s] [ 38%] 2023-07-07T20:05:40.2800618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm PASSED [0.1256s] [ 38%] 2023-07-07T20:05:40.2800867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm PASSED [0.1615s] [ 38%] 2023-07-07T20:05:40.2801132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_linspace_negative_start PASSED [0.0095s] [ 38%] 2023-07-07T20:05:40.2801371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list PASSED [0.0053s] [ 38%] 2023-07-07T20:05:40.2801620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append PASSED [0.0057s] [ 38%] 2023-07-07T20:05:40.2801879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_block PASSED [0.0051s] [ 38%] 2023-07-07T20:05:40.2802171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block SKIPPED [0.0008s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2802467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested SKIPPED [0.0007s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2802757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested SKIPPED [0.0007s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2803050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum SKIPPED [0.0007s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2803329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_unpack PASSED [0.0054s] [ 38%] 2023-07-07T20:05:40.2803645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0046s] [ 38%] 2023-07-07T20:05:40.2803886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log PASSED [0.0046s] [ 38%] 2023-07-07T20:05:40.2804154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log10 PASSED [0.0050s] [ 38%] 2023-07-07T20:05:40.2804530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log1p PASSED [0.0051s] [ 38%] 2023-07-07T20:05:40.2804798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_log2 PASSED [0.0048s] [ 38%] 2023-07-07T20:05:40.2805046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_logical_xor PASSED [0.0173s] [ 38%] 2023-07-07T20:05:40.2805357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim PASSED [0.1049s] [ 38%] 2023-07-07T20:05:40.2805617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype PASSED [0.0181s] [ 38%] 2023-07-07T20:05:40.2805854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0050s] [ 38%] 2023-07-07T20:05:40.2806138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0155s] [ 38%] 2023-07-07T20:05:40.2806374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm PASSED [0.0426s] [ 38%] 2023-07-07T20:05:40.2806621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias PASSED [0.2038s] [ 38%] 2023-07-07T20:05:40.2806867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_hidden PASSED [0.0367s] [ 38%] 2023-07-07T20:05:40.2807127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state PASSED [0.0790s] [ 38%] 2023-07-07T20:05:40.2807391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden PASSED [0.0320s] [ 38%] 2023-07-07T20:05:40.2807630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_lt PASSED [0.0266s] [ 38%] 2023-07-07T20:05:40.2807877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0299s] [ 38%] 2023-07-07T20:05:40.2808118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_max_int PASSED [0.0261s] [ 38%] 2023-07-07T20:05:40.2808370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0140s] [ 38%] 2023-07-07T20:05:40.2808703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maximum_dtypes SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 38%] 2023-07-07T20:05:40.2808952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d PASSED [0.0153s] [ 38%] 2023-07-07T20:05:40.2809201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0184s] [ 38%] 2023-07-07T20:05:40.2809457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0141s] [ 38%] 2023-07-07T20:05:40.2809750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_meshgrid_scalar PASSED [0.0264s] [ 38%] 2023-07-07T20:05:40.2810056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none SKIPPED [0.0013s] (Unsupported opset_version: 11 < 15) [ 38%] 2023-07-07T20:05:40.2810363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor SKIPPED [0.0011s] (Unsupported opset_version: 11 < 15) [ 38%] 2023-07-07T20:05:40.2810660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision PASSED [0.0404s] [ 38%] 2023-07-07T20:05:40.2810906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0143s] [ 38%] 2023-07-07T20:05:40.2811156Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_multinomial PASSED [0.0140s] [ 38%] 2023-07-07T20:05:40.2811444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn PASSED [0.2262s] [ 38%] 2023-07-07T20:05:40.2811756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2812000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_narrow PASSED [0.0147s] [ 38%] 2023-07-07T20:05:40.2812290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0182s] [ 38%] 2023-07-07T20:05:40.2812685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output PASSED [0.0143s] [ 38%] 2023-07-07T20:05:40.2813049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_new_full PASSED [0.0542s] [ 38%] 2023-07-07T20:05:40.2813505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index SKIPPED [0.0013s] (Unsupported opset_version: 11 < 12) [ 38%] 2023-07-07T20:05:40.2813871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nms PASSED [0.0190s] [ 38%] 2023-07-07T20:05:40.2814271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness PASSED [0.0223s] [ 38%] 2023-07-07T20:05:40.2814648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_normalize PASSED [0.0162s] [ 38%] 2023-07-07T20:05:40.2815069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0154s] [ 38%] 2023-07-07T20:05:40.2815437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_one_hot PASSED [0.0173s] [ 38%] 2023-07-07T20:05:40.2815809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_ones_bool PASSED [0.0156s] [ 38%] 2023-07-07T20:05:40.2816277Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1 SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 38%] 2023-07-07T20:05:40.2816786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 38%] 2023-07-07T20:05:40.2817270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 38%] 2023-07-07T20:05:40.2817775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 38%] 2023-07-07T20:05:40.2818201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_outer SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 38%] 2023-07-07T20:05:40.2818578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0158s] [ 38%] 2023-07-07T20:05:40.2819005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list PASSED [0.0197s] [ 38%] 2023-07-07T20:05:40.2819393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.2612s] [ 38%] 2023-07-07T20:05:40.2819776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle PASSED [0.0874s] [ 38%] 2023-07-07T20:05:40.2820138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_prelu PASSED [0.0098s] [ 38%] 2023-07-07T20:05:40.2820519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0182s] [ 38%] 2023-07-07T20:05:40.2820947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_prim_min SKIPPED [0.0012s] (Unsupported opset_version: 11 < 12) [ 38%] 2023-07-07T20:05:40.2821376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0235s] [ 38%] 2023-07-07T20:05:40.2822135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2822660Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2822777Z PASSED [0.0304s] [ 38%] 2023-07-07T20:05:40.2823257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2823710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2824162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel SKIPPED [0.0011s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2824956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2825481Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2825635Z PASSED [0.0343s] [ 38%] 2023-07-07T20:05:40.2826013Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_qat_relu SKIPPED [0.0014s] (Unsupported opset_version: 11 < 13) [ 38%] 2023-07-07T20:05:40.2826523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2826912Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2826991Z PASSED [0.0189s] [ 38%] 2023-07-07T20:05:40.2827269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d PASSED [0.0297s] [ 38%] 2023-07-07T20:05:40.2827530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0423s] [ 38%] 2023-07-07T20:05:40.2827808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional PASSED [0.0480s] [ 38%] 2023-07-07T20:05:40.2828087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point PASSED [0.0361s] [ 38%] 2023-07-07T20:05:40.2828373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale PASSED [0.0218s] [ 38%] 2023-07-07T20:05:40.2828663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0328s] [ 38%] 2023-07-07T20:05:40.2828918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d PASSED [0.0594s] [ 38%] 2023-07-07T20:05:40.2829183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d PASSED [0.1701s] [ 38%] 2023-07-07T20:05:40.2829477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand PASSED [0.0339s] [ 38%] 2023-07-07T20:05:40.2829747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm PASSED [0.0340s] [ 38%] 2023-07-07T20:05:40.2830007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid PASSED [0.0219s] [ 38%] 2023-07-07T20:05:40.2830305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm PASSED [0.0343s] [ 38%] 2023-07-07T20:05:40.2830576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu PASSED [0.0340s] [ 38%] 2023-07-07T20:05:40.2830838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu PASSED [0.0260s] [ 38%] 2023-07-07T20:05:40.2831147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select PASSED [0.0219s] [ 38%] 2023-07-07T20:05:40.2831403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0261s] [ 38%] 2023-07-07T20:05:40.2831651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0500s] [ 38%] 2023-07-07T20:05:40.2831898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0264s] [ 38%] 2023-07-07T20:05:40.2832176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum PASSED [0.0740s] [ 38%] 2023-07-07T20:05:40.2832431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum_dtypes PASSED [0.0127s] [ 38%] 2023-07-07T20:05:40.2832675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_remainder PASSED [0.0250s] [ 38%] 2023-07-07T20:05:40.2833206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 38%] 2023-07-07T20:05:40.2833473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold PASSED [0.0086s] [ 38%] 2023-07-07T20:05:40.2833724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank PASSED [0.0075s] [ 38%] 2023-07-07T20:05:40.2834339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2834802Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2835171Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2835250Z PASSED [0.0717s] [ 38%] 2023-07-07T20:05:40.2835862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2836247Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2836588Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2836665Z PASSED [0.0701s] [ 38%] 2023-07-07T20:05:40.2837062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0538s] [ 38%] 2023-07-07T20:05:40.2837430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0541s] [ 38%] 2023-07-07T20:05:40.2838085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2838428Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2838767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2838847Z PASSED [0.0632s] [ 38%] 2023-07-07T20:05:40.2839457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2839798Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2840161Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2840501Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2840577Z PASSED [0.0642s] [ 38%] 2023-07-07T20:05:40.2841189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2841563Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2841932Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2842268Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2842346Z PASSED [0.0645s] [ 38%] 2023-07-07T20:05:40.2842703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0503s] [ 38%] 2023-07-07T20:05:40.2843332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2843685Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2844010Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2844089Z PASSED [0.0563s] [ 38%] 2023-07-07T20:05:40.2844838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2845186Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2845592Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2845673Z PASSED [0.0558s] [ 38%] 2023-07-07T20:05:40.2846283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2846655Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2846996Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2847367Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2847445Z PASSED [0.0567s] [ 38%] 2023-07-07T20:05:40.2847800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0405s] [ 38%] 2023-07-07T20:05:40.2848413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2848792Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2849129Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2849204Z PASSED [0.0491s] [ 38%] 2023-07-07T20:05:40.2849809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2850155Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2850492Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2850874Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2850953Z PASSED [0.0504s] [ 38%] 2023-07-07T20:05:40.2851299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0334s] [ 39%] 2023-07-07T20:05:40.2851922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2852301Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2852650Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2852728Z PASSED [0.0468s] [ 39%] 2023-07-07T20:05:40.2853341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2853707Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2854044Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2854122Z PASSED [0.0462s] [ 39%] 2023-07-07T20:05:40.2854736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2855077Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2855412Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2855751Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2855829Z PASSED [0.0465s] [ 39%] 2023-07-07T20:05:40.2856474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2856810Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2857179Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2857514Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2857591Z PASSED [0.0347s] [ 39%] 2023-07-07T20:05:40.2857982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0228s] [ 39%] 2023-07-07T20:05:40.2858599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2858968Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2859308Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2859386Z PASSED [0.0301s] [ 39%] 2023-07-07T20:05:40.2859997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2860335Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2860667Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2860989Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2861100Z PASSED [0.0292s] [ 39%] 2023-07-07T20:05:40.2861718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2862088Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2862420Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2862758Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2862862Z PASSED [0.0285s] [ 39%] 2023-07-07T20:05:40.2863466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2863845Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2864187Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2864262Z PASSED [0.0301s] [ 39%] 2023-07-07T20:05:40.2864870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2865213Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2865547Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2865623Z PASSED [0.0309s] [ 39%] 2023-07-07T20:05:40.2866260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2866761Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2867277Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2867820Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2867932Z PASSED [0.0322s] [ 39%] 2023-07-07T20:05:40.2868847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2869407Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2869920Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2870469Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2870571Z PASSED [0.0307s] [ 39%] 2023-07-07T20:05:40.2871109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0196s] [ 39%] 2023-07-07T20:05:40.2872018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2872535Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2873046Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2873158Z PASSED [0.0271s] [ 39%] 2023-07-07T20:05:40.2874114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2874706Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2875218Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2875767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2875883Z PASSED [0.0260s] [ 39%] 2023-07-07T20:05:40.2876816Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2877162Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2877503Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2877610Z PASSED [0.0528s] [ 39%] 2023-07-07T20:05:40.2878228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2878566Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2878905Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2878983Z PASSED [0.0474s] [ 39%] 2023-07-07T20:05:40.2879593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2879929Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2880297Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2880631Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2880698Z PASSED [0.0495s] [ 39%] 2023-07-07T20:05:40.2881309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2881687Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2882043Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2882378Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2882456Z PASSED [0.0491s] [ 39%] 2023-07-07T20:05:40.2883061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2883431Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2883764Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2883843Z PASSED [0.0416s] [ 39%] 2023-07-07T20:05:40.2884586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2884928Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2885264Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2885342Z PASSED [0.0430s] [ 39%] 2023-07-07T20:05:40.2886004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2886346Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2886714Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2887051Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2887129Z PASSED [0.0427s] [ 39%] 2023-07-07T20:05:40.2887764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2888104Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2888478Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2888812Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2888887Z PASSED [0.0432s] [ 39%] 2023-07-07T20:05:40.2889232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0443s] [ 39%] 2023-07-07T20:05:40.2889840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2890180Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2890517Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2890595Z PASSED [0.0387s] [ 39%] 2023-07-07T20:05:40.2891243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2891583Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2891951Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2892290Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2892367Z PASSED [0.0374s] [ 39%] 2023-07-07T20:05:40.2892757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0251s] [ 39%] 2023-07-07T20:05:40.2893366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2893733Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2894069Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2894148Z PASSED [0.0342s] [ 39%] 2023-07-07T20:05:40.2894764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2895102Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2895439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2895518Z PASSED [0.0343s] [ 39%] 2023-07-07T20:05:40.2895910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0306s] [ 39%] 2023-07-07T20:05:40.2896282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0321s] [ 39%] 2023-07-07T20:05:40.2896901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2897269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2897603Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2897705Z PASSED [0.0302s] [ 39%] 2023-07-07T20:05:40.2898299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2898665Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2898998Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2899332Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2899408Z PASSED [0.0297s] [ 39%] 2023-07-07T20:05:40.2900021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2900360Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2900692Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2901060Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2901141Z PASSED [0.0290s] [ 39%] 2023-07-07T20:05:40.2901504Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0185s] [ 39%] 2023-07-07T20:05:40.2902104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2902487Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2902853Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2902931Z PASSED [0.0304s] [ 39%] 2023-07-07T20:05:40.2903532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2903899Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2904237Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2904313Z PASSED [0.0305s] [ 39%] 2023-07-07T20:05:40.2904663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0199s] [ 39%] 2023-07-07T20:05:40.2905270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2905614Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2905953Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2906032Z PASSED [0.0257s] [ 39%] 2023-07-07T20:05:40.2906648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2906995Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2907356Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2907695Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2907770Z PASSED [0.0388s] [ 39%] 2023-07-07T20:05:40.2908406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2908744Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2909107Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2909446Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2909524Z PASSED [0.0256s] [ 39%] 2023-07-07T20:05:40.2909882Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0141s] [ 39%] 2023-07-07T20:05:40.2910491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2910832Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2911173Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2911251Z PASSED [0.1133s] [ 39%] 2023-07-07T20:05:40.2911897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2912234Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2912597Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2912935Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2913012Z PASSED [0.1140s] [ 39%] 2023-07-07T20:05:40.2913643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2913984Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2914339Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2914414Z PASSED [0.1085s] [ 39%] 2023-07-07T20:05:40.2915121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2915463Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2915793Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2916133Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2916216Z PASSED [0.1085s] [ 39%] 2023-07-07T20:05:40.2916853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2917197Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2917531Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2917636Z PASSED [0.0713s] [ 39%] 2023-07-07T20:05:40.2918236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2918603Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2918943Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2919277Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2919381Z PASSED [0.0715s] [ 39%] 2023-07-07T20:05:40.2919980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2920320Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2920659Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2920737Z PASSED [0.0781s] [ 39%] 2023-07-07T20:05:40.2921341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2921678Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2922043Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2922122Z PASSED [0.0732s] [ 39%] 2023-07-07T20:05:40.2922718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2923109Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2923447Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2923793Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2923872Z PASSED [0.0673s] [ 39%] 2023-07-07T20:05:40.2924677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2925252Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2925762Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2925877Z PASSED [0.0537s] [ 39%] 2023-07-07T20:05:40.2926793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2927311Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2927819Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2928329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2928448Z PASSED [0.0536s] [ 39%] 2023-07-07T20:05:40.2929424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2929936Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2930486Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2930994Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2931107Z PASSED [0.0544s] [ 39%] 2023-07-07T20:05:40.2931688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0516s] [ 39%] 2023-07-07T20:05:40.2932240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0414s] [ 39%] 2023-07-07T20:05:40.2933202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2933709Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2934219Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2934334Z PASSED [0.0495s] [ 39%] 2023-07-07T20:05:40.2935265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2935776Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2936275Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2936817Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2936936Z PASSED [0.0497s] [ 39%] 2023-07-07T20:05:40.2937826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2938321Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2938661Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2938772Z PASSED [0.0400s] [ 39%] 2023-07-07T20:05:40.2939131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0287s] [ 39%] 2023-07-07T20:05:40.2939732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2940099Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2940435Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2940521Z PASSED [0.0343s] [ 39%] 2023-07-07T20:05:40.2941135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2941475Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2941814Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2941893Z PASSED [0.0339s] [ 39%] 2023-07-07T20:05:40.2942524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2942870Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2943233Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2943568Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2943644Z PASSED [0.0354s] [ 39%] 2023-07-07T20:05:40.2944026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0226s] [ 39%] 2023-07-07T20:05:40.2944636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2945002Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2945329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2945406Z PASSED [0.1168s] [ 39%] 2023-07-07T20:05:40.2946016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2946354Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2946686Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2946764Z PASSED [0.1186s] [ 39%] 2023-07-07T20:05:40.2947394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2947730Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2948063Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2948164Z PASSED [0.1314s] [ 39%] 2023-07-07T20:05:40.2948768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2949155Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2949483Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2949820Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2949926Z PASSED [0.1138s] [ 39%] 2023-07-07T20:05:40.2950287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1694s] [ 39%] 2023-07-07T20:05:40.2950887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2951228Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2951566Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2951902Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2951979Z PASSED [0.0998s] [ 39%] 2023-07-07T20:05:40.2952328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1034s] [ 39%] 2023-07-07T20:05:40.2952697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0963s] [ 39%] 2023-07-07T20:05:40.2953312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2953680Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2954007Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2954085Z PASSED [0.0994s] [ 39%] 2023-07-07T20:05:40.2954795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2955140Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2955505Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2955582Z PASSED [0.1121s] [ 39%] 2023-07-07T20:05:40.2956197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2956540Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2956875Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2956952Z PASSED [0.0708s] [ 39%] 2023-07-07T20:05:40.2957553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2957924Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2958264Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2958600Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2958705Z PASSED [0.0713s] [ 39%] 2023-07-07T20:05:40.2959070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1193s] [ 39%] 2023-07-07T20:05:40.2959710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2960050Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2960414Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2960492Z PASSED [0.0758s] [ 39%] 2023-07-07T20:05:40.2960854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0677s] [ 39%] 2023-07-07T20:05:40.2961451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2961793Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2962130Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2962194Z PASSED [0.0567s] [ 39%] 2023-07-07T20:05:40.2962542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0540s] [ 39%] 2023-07-07T20:05:40.2963169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2963514Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2963878Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2963957Z PASSED [0.0503s] [ 39%] 2023-07-07T20:05:40.2964754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2965153Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2965493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2965601Z PASSED [0.0537s] [ 39%] 2023-07-07T20:05:40.2966200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2966541Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2966882Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2967221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2967297Z PASSED [0.0581s] [ 39%] 2023-07-07T20:05:40.2967898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2968325Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2968666Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2969000Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2969110Z PASSED [0.0381s] [ 39%] 2023-07-07T20:05:40.2969467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0727s] [ 39%] 2023-07-07T20:05:40.2969955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2970315Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2970642Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2971002Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2971342Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2971674Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2972006Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2972338Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2972674Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2973003Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2973508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2974049Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2974559Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2975063Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.2975220Z PASSED [0.2231s] [ 39%] 2023-07-07T20:05:40.2975596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_roi_align PASSED [0.0133s] [ 39%] 2023-07-07T20:05:40.2976053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_roi_align_aligned SKIPPED [0.0013s] (Unsupported opset_version: 11 < 16) [ 39%] 2023-07-07T20:05:40.2976423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_rsqrt PASSED [0.0067s] [ 39%] 2023-07-07T20:05:40.2976829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor PASSED [0.0148s] [ 39%] 2023-07-07T20:05:40.2977189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter PASSED [0.0218s] [ 39%] 2023-07-07T20:05:40.2977566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_add PASSED [0.0190s] [ 39%] 2023-07-07T20:05:40.2978121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0013s] (Unsupported opset_version: 11 < 16) [ 39%] 2023-07-07T20:05:40.2978584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique SKIPPED [0.0012s] (Unsupported opset_version: 11 < 16) [ 39%] 2023-07-07T20:05:40.2979023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0012s] (Unsupported opset_version: 11 < 16) [ 39%] 2023-07-07T20:05:40.2979420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0091s] [ 39%] 2023-07-07T20:05:40.2979876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried SKIPPED [0.0012s] (Unsupported opset_version: 11 < 13) [ 39%] 2023-07-07T20:05:40.2980307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int SKIPPED [0.0014s] (Unsupported opset_version: 11 < 13) [ 39%] 2023-07-07T20:05:40.2980673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_ PASSED [0.0101s] [ 39%] 2023-07-07T20:05:40.2981040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2 PASSED [0.0098s] [ 39%] 2023-07-07T20:05:40.2981408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3 PASSED [0.0104s] [ 39%] 2023-07-07T20:05:40.2981826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop PASSED [0.0104s] [ 39%] 2023-07-07T20:05:40.2982284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list SKIPPED [0.0012s] (Unsupported opset_version: 11 < 13) [ 39%] 2023-07-07T20:05:40.2982633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_silu PASSED [0.0063s] [ 39%] 2023-07-07T20:05:40.2982986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic PASSED [0.0648s] [ 39%] 2023-07-07T20:05:40.2983284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_script PASSED [0.0047s] [ 39%] 2023-07-07T20:05:40.2983543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end PASSED [0.0359s] [ 39%] 2023-07-07T20:05:40.2983792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large PASSED [0.0162s] [ 39%] 2023-07-07T20:05:40.2984079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone PASSED [0.0130s] [ 39%] 2023-07-07T20:05:40.2984328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_trace PASSED [0.0098s] [ 39%] 2023-07-07T20:05:40.2984588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0534s] [ 39%] 2023-07-07T20:05:40.2984868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_softmax PASSED [0.0860s] [ 39%] 2023-07-07T20:05:40.2985123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_softmax_large_values PASSED [0.0349s] [ 39%] 2023-07-07T20:05:40.2985373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_softshrink PASSED [0.0372s] [ 39%] 2023-07-07T20:05:40.2985613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sort PASSED [0.0194s] [ 39%] 2023-07-07T20:05:40.2985866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sort_ascending PASSED [0.0192s] [ 39%] 2023-07-07T20:05:40.2986120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0071s] [ 39%] 2023-07-07T20:05:40.2986362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_script PASSED [0.0256s] [ 39%] 2023-07-07T20:05:40.2986622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0013s] [ 39%] 2023-07-07T20:05:40.2986879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0067s] [ 39%] 2023-07-07T20:05:40.2987129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze PASSED [0.0057s] [ 39%] 2023-07-07T20:05:40.2987379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0058s] [ 39%] 2023-07-07T20:05:40.2987660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0112s] [ 39%] 2023-07-07T20:05:40.2987922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0056s] [ 39%] 2023-07-07T20:05:40.2988169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0117s] [ 39%] 2023-07-07T20:05:40.2988454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op PASSED [0.0060s] [ 39%] 2023-07-07T20:05:40.2988693Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std PASSED [0.0180s] [ 39%] 2023-07-07T20:05:40.2988947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_correction PASSED [0.0140s] [ 39%] 2023-07-07T20:05:40.2989201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0236s] [ 39%] 2023-07-07T20:05:40.2989478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction PASSED [0.0146s] [ 39%] 2023-07-07T20:05:40.2989730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0241s] [ 39%] 2023-07-07T20:05:40.2990023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0013s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2990343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided SKIPPED [0.0012s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2990637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_one_dimension SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2990932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2991233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size SKIPPED [0.0014s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2991539Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2991840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2992141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2992439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length SKIPPED [0.0011s] (Unsupported opset_version: 11 < 17) [ 39%] 2023-07-07T20:05:40.2992711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_sum PASSED [0.0066s] [ 39%] 2023-07-07T20:05:40.2992983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0684s] [ 39%] 2023-07-07T20:05:40.2993255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 PASSED [0.0405s] [ 39%] 2023-07-07T20:05:40.2993531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes PASSED [0.0122s] [ 39%] 2023-07-07T20:05:40.2993817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0623s] [ 39%] 2023-07-07T20:05:40.2994062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_take PASSED [0.0084s] [ 39%] 2023-07-07T20:05:40.2994304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0157s] [ 39%] 2023-07-07T20:05:40.2994577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0076s] [ 39%] 2023-07-07T20:05:40.2994939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0251s] [ 39%] 2023-07-07T20:05:40.2995224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0204s] [ 39%] 2023-07-07T20:05:40.2995543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_split SKIPPED [0.0013s] (Unsupported opset_version: 11 < 13) [ 39%] 2023-07-07T20:05:40.2995844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes SKIPPED [0.0012s] (Unsupported opset_version: 11 < 13) [ 39%] 2023-07-07T20:05:40.2996141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 39%] 2023-07-07T20:05:40.2996434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 39%] 2023-07-07T20:05:40.2996731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim SKIPPED [0.0011s] (Unsupported opset_version: 11 < 12) [ 39%] 2023-07-07T20:05:40.2996977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_to_device PASSED [0.0154s] [ 39%] 2023-07-07T20:05:40.2997221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_topk PASSED [0.0088s] [ 39%] 2023-07-07T20:05:40.2997467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k PASSED [0.0101s] [ 39%] 2023-07-07T20:05:40.2997702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0032s] [ 39%] 2023-07-07T20:05:40.2997942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0043s] [ 39%] 2023-07-07T20:05:40.2998251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_triu SKIPPED [0.0008s] (Unsupported opset_version: 11 < 14) [ 39%] 2023-07-07T20:05:40.2998545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional SKIPPED [0.0008s] (Unsupported opset_version: 11 < 15) [ 39%] 2023-07-07T20:05:40.2998853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 11 < 15) [ 39%] 2023-07-07T20:05:40.2999125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_type_as PASSED [0.0129s] [ 39%] 2023-07-07T20:05:40.2999376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_unbind_dynamic PASSED [0.0059s] [ 39%] 2023-07-07T20:05:40.2999675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs SKIPPED [0.0008s] (Unsupported opset_version: 11 < 12) [ 39%] 2023-07-07T20:05:40.2999962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic PASSED [0.0048s] [ 39%] 2023-07-07T20:05:40.3000265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList SKIPPED [0.0008s] (Unsupported opset_version: 11 < 14) [ 39%] 2023-07-07T20:05:40.3000570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList SKIPPED [0.0007s] (Unsupported opset_version: 11 < 14) [ 39%] 2023-07-07T20:05:40.3000912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic SKIPPED [0.0008s] (Unsupported opset_version: 11 < 14) [ 39%] 2023-07-07T20:05:40.3001222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape SKIPPED [0.0008s] (Unsupported opset_version: 11 < 14) [ 39%] 2023-07-07T20:05:40.3001470Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0046s] [ 39%] 2023-07-07T20:05:40.3001722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0167s] [ 39%] 2023-07-07T20:05:40.3001958Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_keepdim PASSED [0.0164s] [ 39%] 2023-07-07T20:05:40.3002204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0137s] [ 39%] 2023-07-07T20:05:40.3002457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_var_mean_along_dims PASSED [0.0569s] [ 39%] 2023-07-07T20:05:40.3002699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_view PASSED [0.0059s] [ 39%] 2023-07-07T20:05:40.3002951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_where_condition PASSED [0.0267s] [ 39%] 2023-07-07T20:05:40.3003215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script PASSED [0.0226s] [ 39%] 2023-07-07T20:05:40.3003514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH PASSED [0.0478s] [ 39%] 2023-07-07T20:05:40.3003778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_11_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input PASSED [0.0089s] [ 39%] 2023-07-07T20:05:40.3004034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0393s] [ 39%] 2023-07-07T20:05:40.3004309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_add_inplace PASSED [0.0109s] [ 39%] 2023-07-07T20:05:40.3004687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0144s] [ 39%] 2023-07-07T20:05:40.3004938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0117s] [ 40%] 2023-07-07T20:05:40.3005169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0173s] [ 40%] 2023-07-07T20:05:40.3005468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0420s] [ 40%] 2023-07-07T20:05:40.3005720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0394s] [ 40%] 2023-07-07T20:05:40.3005980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_notype PASSED [0.0351s] [ 40%] 2023-07-07T20:05:40.3006268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_start_out PASSED [0.0569s] [ 40%] 2023-07-07T20:05:40.3006519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats PASSED [0.1069s] [ 40%] 2023-07-07T20:05:40.3006779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out PASSED [0.0525s] [ 40%] 2023-07-07T20:05:40.3007028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax PASSED [0.0297s] [ 40%] 2023-07-07T20:05:40.3007297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index PASSED [0.0586s] [ 40%] 2023-07-07T20:05:40.3007573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision PASSED [0.2331s] [ 40%] 2023-07-07T20:05:40.3007827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_bool PASSED [0.0602s] [ 40%] 2023-07-07T20:05:40.3008084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0802s] [ 40%] 2023-07-07T20:05:40.3008335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_arithmetic_prim_long PASSED [0.0712s] [ 40%] 2023-07-07T20:05:40.3008612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_as_strided SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 40%] 2023-07-07T20:05:40.3026586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_div PASSED [0.0288s] [ 40%] 2023-07-07T20:05:40.3026874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0577s] [ 40%] 2023-07-07T20:05:40.3027126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dropout_training PASSED [0.0253s] [ 40%] 2023-07-07T20:05:40.3027385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_arange_start_out PASSED [0.0290s] [ 40%] 2023-07-07T20:05:40.3027632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_chunk PASSED [0.1025s] [ 40%] 2023-07-07T20:05:40.3027885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_expand_as PASSED [0.0998s] [ 40%] 2023-07-07T20:05:40.3028187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave SKIPPED [0.0010s] (Unsupported opset_version: 12 < 13) [ 40%] 2023-07-07T20:05:40.3028426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_einsum PASSED [0.0833s] [ 40%] 2023-07-07T20:05:40.3028658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_embedding PASSED [0.0392s] [ 40%] 2023-07-07T20:05:40.3028950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_embedding_bag SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 40%] 2023-07-07T20:05:40.3033777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_ge PASSED [0.0446s] [ 40%] 2023-07-07T20:05:40.3034019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar PASSED [0.0268s] [ 40%] 2023-07-07T20:05:40.3034255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gelu PASSED [0.0170s] [ 40%] 2023-07-07T20:05:40.3034495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_getitem PASSED [0.0265s] [ 40%] 2023-07-07T20:05:40.3034966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0013s] (Unsupported opset_version: 12 < 16) [ 40%] 2023-07-07T20:05:40.3035303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 12 < 16) [ 40%] 2023-07-07T20:05:40.3035634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 40%] 2023-07-07T20:05:40.3035995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 40%] 2023-07-07T20:05:40.3036256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_groupnorm_noaffine PASSED [0.2321s] [ 40%] 2023-07-07T20:05:40.3036488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias PASSED [0.2590s] [ 40%] 2023-07-07T20:05:40.3036751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gt PASSED [0.0458s] [ 40%] 2023-07-07T20:05:40.3037003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0099s] [ 40%] 2023-07-07T20:05:40.3037304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 40%] 2023-07-07T20:05:40.3037587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype PASSED [0.0132s] [ 40%] 2023-07-07T20:05:40.3037835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid PASSED [0.0221s] [ 40%] 2023-07-07T20:05:40.3038077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0235s] [ 40%] 2023-07-07T20:05:40.3038330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0102s] [ 40%] 2023-07-07T20:05:40.3038573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_hardtanh PASSED [0.0112s] [ 40%] 2023-07-07T20:05:40.3038835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.2508s] [ 40%] 2023-07-07T20:05:40.3039083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_if_transpose PASSED [0.0178s] [ 40%] 2023-07-07T20:05:40.3039365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_if_view SKIPPED [0.0013s] (Unsupported opset_version: 12 < 13) [ 40%] 2023-07-07T20:05:40.3039594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_1d PASSED [0.0141s] [ 40%] 2023-07-07T20:05:40.3039847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice PASSED [0.0192s] [ 40%] 2023-07-07T20:05:40.3040128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0175s] [ 40%] 2023-07-07T20:05:40.3040389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ PASSED [0.0172s] [ 40%] 2023-07-07T20:05:40.3040688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 40%] 2023-07-07T20:05:40.3040934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if PASSED [0.1968s] [ 40%] 2023-07-07T20:05:40.3041209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2 PASSED [0.4863s] [ 40%] 2023-07-07T20:05:40.3041454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3 PASSED [0.1164s] [ 40%] 2023-07-07T20:05:40.3041690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4 PASSED [0.1180s] [ 40%] 2023-07-07T20:05:40.3041972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops PASSED [0.1212s] [ 40%] 2023-07-07T20:05:40.3042232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill PASSED [0.0187s] [ 40%] 2023-07-07T20:05:40.3042489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic PASSED [0.0101s] [ 40%] 2023-07-07T20:05:40.3042766Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_list PASSED [0.0210s] [ 40%] 2023-07-07T20:05:40.3043055Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop SKIPPED [0.0009s] (Unsupported opset_version: 12 < 14) [ 40%] 2023-07-07T20:05:40.3043312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop PASSED [0.0176s] [ 40%] 2023-07-07T20:05:40.3043561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero_qkv PASSED [0.0138s] [ 40%] 2023-07-07T20:05:40.3043812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model PASSED [0.1293s] [ 40%] 2023-07-07T20:05:40.3044088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.3882s] [ 40%] 2023-07-07T20:05:40.3052152Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.4465s] [ 40%] 2023-07-07T20:05:40.3052530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer PASSED [0.2934s] [ 40%] 2023-07-07T20:05:40.3052858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error SKIPPED [0.0015s] (Skip verify test for TorchScript.) [ 40%] 2023-07-07T20:05:40.3053139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution PASSED [0.0385s] [ 40%] 2023-07-07T20:05:40.3053519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_half_pixel PASSED [0.1237s] [ 40%] 2023-07-07T20:05:40.3053782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample PASSED [0.3952s] [ 40%] 2023-07-07T20:05:40.3054088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0010s] (Unsupported opset_version: 12 > 8) [ 40%] 2023-07-07T20:05:40.3054366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_isfinite PASSED [0.0106s] [ 40%] 2023-07-07T20:05:40.3054607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_isinf PASSED [0.0089s] [ 40%] 2023-07-07T20:05:40.3054846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss PASSED [0.2218s] [ 40%] 2023-07-07T20:05:40.3055087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0165s] [ 40%] 2023-07-07T20:05:40.3055364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_len_list PASSED [0.0095s] [ 40%] 2023-07-07T20:05:40.3055601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lerp PASSED [0.1275s] [ 40%] 2023-07-07T20:05:40.3055844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0403s] [ 40%] 2023-07-07T20:05:40.3056118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.2273s] [ 40%] 2023-07-07T20:05:40.3056363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm PASSED [0.1781s] [ 40%] 2023-07-07T20:05:40.3056615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero PASSED [0.0115s] [ 40%] 2023-07-07T20:05:40.3056849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linear PASSED [0.0315s] [ 40%] 2023-07-07T20:05:40.3057086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_linspace PASSED [0.0149s] [ 40%] 2023-07-07T20:05:40.3057314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list PASSED [0.0236s] [ 40%] 2023-07-07T20:05:40.3057615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0010s] (Unsupported opset_version: 12 < 13) [ 40%] 2023-07-07T20:05:40.3057905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested SKIPPED [0.0008s] (Unsupported opset_version: 12 < 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_loop_transpose PASSED [0.0196s] [ 40%] 2023-07-07T20:05:40.3061894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_loop_with_list PASSED [0.0395s] [ 40%] 2023-07-07T20:05:40.3062252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple PASSED [0.0620s] [ 40%] 2023-07-07T20:05:40.3062647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm PASSED [0.0733s] [ 40%] 2023-07-07T20:05:40.3063012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell PASSED [0.0599s] [ 40%] 2023-07-07T20:05:40.3063406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_default_init_state PASSED [0.0696s] [ 40%] 2023-07-07T20:05:40.3063793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size PASSED [0.0975s] [ 40%] 2023-07-07T20:05:40.3064168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_bias PASSED [0.3307s] [ 40%] 2023-07-07T20:05:40.3064542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_no_hidden PASSED [0.0699s] [ 40%] 2023-07-07T20:05:40.3064927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0474s] [ 40%] 2023-07-07T20:05:40.3065307Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_max_int PASSED [0.0438s] [ 40%] 2023-07-07T20:05:40.3067536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes PASSED [0.0322s] [ 40%] 2023-07-07T20:05:40.3067914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maximum_minimum PASSED [0.0109s] [ 40%] 2023-07-07T20:05:40.3068317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0167s] [ 40%] 2023-07-07T20:05:40.3068704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_adaptive PASSED [0.0098s] [ 40%] 2023-07-07T20:05:40.3069102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_default_stride PASSED [0.0137s] [ 40%] 2023-07-07T20:05:40.3069522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0130s] [ 40%] 2023-07-07T20:05:40.3069888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mish PASSED [0.0098s] [ 40%] 2023-07-07T20:05:40.3070369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 40%] 2023-07-07T20:05:40.3070811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 40%] 2023-07-07T20:05:40.3071131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0007s] (Unsupported opset_version: 12 < 15) [ 40%] 2023-07-07T20:05:40.3071371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_movedim PASSED [0.0207s] [ 40%] 2023-07-07T20:05:40.3071658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_multi_scale_roi_align SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 40%] 2023-07-07T20:05:40.3071914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0103s] [ 41%] 2023-07-07T20:05:40.3072160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_new_empty PASSED [0.0286s] [ 41%] 2023-07-07T20:05:40.3072402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss PASSED [0.0219s] [ 41%] 2023-07-07T20:05:40.3072650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean PASSED [0.0266s] [ 41%] 2023-07-07T20:05:40.3072908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights PASSED [0.0251s] [ 41%] 2023-07-07T20:05:40.3073154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_none PASSED [0.0308s] [ 41%] 2023-07-07T20:05:40.3073444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_2d_sum PASSED [0.0345s] [ 41%] 2023-07-07T20:05:40.3073713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index PASSED [0.0654s] [ 41%] 2023-07-07T20:05:40.3073952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nms PASSED [0.0206s] [ 41%] 2023-07-07T20:05:40.3074257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nn_init_normal_correctness SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 41%] 2023-07-07T20:05:40.3074579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_nonzero SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 41%] 2023-07-07T20:05:40.3074904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_numel PASSED [0.0152s] [ 41%] 2023-07-07T20:05:40.3075135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_numel_empty PASSED [0.0142s] [ 41%] 2023-07-07T20:05:40.3075406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_one_hot PASSED [0.0286s] [ 41%] 2023-07-07T20:05:40.3075656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0165s] [ 41%] 2023-07-07T20:05:40.3075961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0013s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3076303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3076613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1 SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3076923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3077236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 41%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_prim_min PASSED [0.0415s] [ 41%] 2023-07-07T20:05:40.3080099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0146s] [ 41%] 2023-07-07T20:05:40.3080359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0132s] [ 41%] 2023-07-07T20:05:40.3080663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0191s] [ 41%] 2023-07-07T20:05:40.3080949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_conv2d SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 41%] 2023-07-07T20:05:40.3081244Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_linear_per_channel SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 41%] 2023-07-07T20:05:40.3081524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_maxpool2d PASSED [0.0252s] [ 41%] 2023-07-07T20:05:40.3081801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_qat_relu SKIPPED [0.0013s] (Unsupported opset_version: 12 < 13) [ 41%] 2023-07-07T20:05:40.3082066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d PASSED [0.0138s] [ 41%] 2023-07-07T20:05:40.3082324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_arithmetic PASSED [0.0271s] [ 41%] 2023-07-07T20:05:40.3082638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale SKIPPED [0.0013s] (Skip verify test for TorchScript.) 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Conditioning on input type via prim::isinstance unsupported in ONNX) [ 41%] 2023-07-07T20:05:40.3129398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 41%] 2023-07-07T20:05:40.3129757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_roi_pool SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 41%] 2023-07-07T20:05:40.3130002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_round PASSED [0.0099s] [ 41%] 2023-07-07T20:05:40.3130243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0094s] [ 41%] 2023-07-07T20:05:40.3130515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0092s] [ 41%] 2023-07-07T20:05:40.3130796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 41%] 2023-07-07T20:05:40.3131044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scalar_type PASSED [0.1761s] [ 41%] 2023-07-07T20:05:40.3131416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0010s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3131757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3132044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3132370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 41%] 2023-07-07T20:05:40.3132647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0117s] [ 41%] 2023-07-07T20:05:40.3132920Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 41%] 2023-07-07T20:05:40.3133235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 41%] 2023-07-07T20:05:40.3133473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_set_ PASSED [0.0170s] [ 41%] 2023-07-07T20:05:40.3133716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5 PASSED [0.0885s] [ 41%] 2023-07-07T20:05:40.3134017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 41%] 2023-07-07T20:05:40.3134259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_silu PASSED [0.0098s] [ 41%] 2023-07-07T20:05:40.3134495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_size PASSED [0.0318s] [ 41%] 2023-07-07T20:05:40.3134759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script PASSED [0.0251s] [ 41%] 2023-07-07T20:05:40.3135058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 41%] 2023-07-07T20:05:40.3135302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0116s] [ 41%] 2023-07-07T20:05:40.3135550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0193s] [ 41%] 2023-07-07T20:05:40.3135821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0117s] [ 41%] 2023-07-07T20:05:40.3136082Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index PASSED [0.0388s] [ 41%] 2023-07-07T20:05:40.3136330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size PASSED [0.0520s] [ 42%] 2023-07-07T20:05:40.3136599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_softmax PASSED [0.1492s] [ 42%] 2023-07-07T20:05:40.3136843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_softplus PASSED [0.0406s] [ 42%] 2023-07-07T20:05:40.3137091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0360s] [ 42%] 2023-07-07T20:05:40.3137386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0014s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3137661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_script PASSED [0.0441s] [ 42%] 2023-07-07T20:05:40.3137956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3138208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0009s] [ 42%] 2023-07-07T20:05:40.3138493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0106s] [ 42%] 2023-07-07T20:05:40.3138732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0090s] [ 42%] 2023-07-07T20:05:40.3138983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic PASSED [0.0112s] [ 42%] 2023-07-07T20:05:40.3139227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg PASSED [0.0113s] [ 42%] 2023-07-07T20:05:40.3139476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0115s] [ 42%] 2023-07-07T20:05:40.3139722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0320s] [ 42%] 2023-07-07T20:05:40.3139960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stack PASSED [0.0129s] [ 42%] 2023-07-07T20:05:40.3140207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic PASSED [0.0098s] [ 42%] 2023-07-07T20:05:40.3140451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0307s] [ 42%] 2023-07-07T20:05:40.3140697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0148s] [ 42%] 2023-07-07T20:05:40.3140968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0241s] [ 42%] 2023-07-07T20:05:40.3141222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0262s] [ 42%] 2023-07-07T20:05:40.3141510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0010s] (Unsupported opset_version: 12 < 17) [ 42%] 2023-07-07T20:05:40.3141801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 42%] 2023-07-07T20:05:40.3142116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 42%] 2023-07-07T20:05:40.3142415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_same_size SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 42%] 2023-07-07T20:05:40.3142744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 42%] 2023-07-07T20:05:40.3143041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 42%] 2023-07-07T20:05:40.3143335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 42%] 2023-07-07T20:05:40.3143586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sum PASSED [0.0101s] [ 42%] 2023-07-07T20:05:40.3143840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0347s] [ 42%] 2023-07-07T20:05:40.3144110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box PASSED [0.0816s] [ 42%] 2023-07-07T20:05:40.3144378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0125s] [ 42%] 2023-07-07T20:05:40.3144653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0381s] [ 42%] 2023-07-07T20:05:40.3145072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0180s] [ 42%] 2023-07-07T20:05:40.3145438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0142s] [ 42%] 2023-07-07T20:05:40.3145838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories_script PASSED [0.0177s] [ 42%] 2023-07-07T20:05:40.3146247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing PASSED [0.0812s] [ 42%] 2023-07-07T20:05:40.3146679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0235s] [ 42%] 2023-07-07T20:05:40.3147216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3147660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 42%] 2023-07-07T20:05:40.3148049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list PASSED [0.0446s] [ 42%] 2023-07-07T20:05:40.3148440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_topk PASSED [0.0113s] [ 42%] 2023-07-07T20:05:40.3148811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0129s] [ 42%] 2023-07-07T20:05:40.3149186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0106s] [ 42%] 2023-07-07T20:05:40.3149564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0187s] [ 42%] 2023-07-07T20:05:40.3150035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3150428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0210s] [ 42%] 2023-07-07T20:05:40.3150846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_triu SKIPPED [0.0009s] (Unsupported opset_version: 12 < 14) [ 42%] 2023-07-07T20:05:40.3151362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script SKIPPED [0.0008s] (Unsupported opset_version: 12 < 15) [ 42%] 2023-07-07T20:05:40.3151788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception PASSED [0.0147s] [ 42%] 2023-07-07T20:05:40.3152153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unbind PASSED [0.0297s] [ 42%] 2023-07-07T20:05:40.3152520Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unfold PASSED [0.0122s] [ 42%] 2023-07-07T20:05:40.3152913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0284s] [ 42%] 2023-07-07T20:05:40.3153366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0009s] (Unsupported opset_version: 12 < 14) [ 42%] 2023-07-07T20:05:40.3153821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 42%] 2023-07-07T20:05:40.3154263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList SKIPPED [0.0007s] (Unsupported opset_version: 12 < 14) [ 42%] 2023-07-07T20:05:40.3154795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape SKIPPED [0.0007s] (Unsupported opset_version: 12 < 14) [ 42%] 2023-07-07T20:05:40.3155221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim PASSED [0.0118s] [ 42%] 2023-07-07T20:05:40.3155599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0096s] [ 42%] 2023-07-07T20:05:40.3155986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0155s] [ 42%] 2023-07-07T20:05:40.3156361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0274s] [ 42%] 2023-07-07T20:05:40.3156761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_view PASSED [0.0100s] [ 42%] 2023-07-07T20:05:40.3157144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim PASSED [0.0122s] [ 42%] 2023-07-07T20:05:40.3157581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 42%] 2023-07-07T20:05:40.3158188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_where PASSED [0.0097s] [ 42%] 2023-07-07T20:05:40.3158451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script PASSED [0.0269s] [ 42%] 2023-07-07T20:05:40.3158750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0920s] [ 42%] 2023-07-07T20:05:40.3159038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input SKIPPED [0.0010s] (Skip verify test for TorchScript.) 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[ 42%] 2023-07-07T20:05:40.3163336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3163981Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3164692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.3164910Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3165467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.3165610Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.3165697Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.3165708Z 2023-07-07T20:05:40.3165851Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.3165988Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.3166235Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3166840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3167457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3167977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.3168129Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3168754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.3168893Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.3168977Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.3168983Z 2023-07-07T20:05:40.3169118Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.3169254Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.3169501Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3169834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_auto_grad SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0192s] [ 42%] 2023-07-07T20:05:40.3171551Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil PASSED [0.7200s] [ 42%] 2023-07-07T20:05:40.3171808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0181s] [ 42%] 2023-07-07T20:05:40.3172060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batched_nms PASSED [0.1517s] [ 42%] 2023-07-07T20:05:40.3172331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0589s] [ 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_copy_ellipsis_script PASSED [0.0424s] [ 42%] 2023-07-07T20:05:40.3177962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_copy_tracing SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3178218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cosine_similarity PASSED [0.0137s] [ 42%] 2023-07-07T20:05:40.3178460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cross PASSED [0.0388s] [ 42%] 2023-07-07T20:05:40.3178720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_crossentropyloss PASSED [0.5127s] [ 42%] 2023-07-07T20:05:40.3178968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cste_script PASSED [0.0440s] [ 42%] 2023-07-07T20:05:40.3179210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_cumsum PASSED [0.0104s] [ 42%] 2023-07-07T20:05:40.3179500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_derive_index_scripting PASSED [0.0901s] [ 42%] 2023-07-07T20:05:40.3179744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_device_eq PASSED [0.0121s] [ 42%] 2023-07-07T20:05:40.3180028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_diagonal SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 42%] 2023-07-07T20:05:40.3180269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dim PASSED [0.0158s] [ 42%] 2023-07-07T20:05:40.3180522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dim_1 PASSED [0.0385s] [ 42%] 2023-07-07T20:05:40.3180832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dist_normal_correctness SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3181119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3181453Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dist_uniform_correctness SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3181692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_div PASSED [0.0206s] [ 42%] 2023-07-07T20:05:40.3181949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_div_rounding_mode PASSED [0.1994s] [ 42%] 2023-07-07T20:05:40.3182267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dtype PASSED [0.0087s] [ 42%] 2023-07-07T20:05:40.3182519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dynamic_chunk PASSED [0.0920s] [ 42%] 2023-07-07T20:05:40.3182776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dynamic_expand_as PASSED [0.0905s] [ 42%] 2023-07-07T20:05:40.3183078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 42%] 2023-07-07T20:05:40.3183370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 42%] 2023-07-07T20:05:40.3183649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_2d_per_sample_weights PASSED [0.0538s] [ 42%] 2023-07-07T20:05:40.3184070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 42%] 2023-07-07T20:05:40.3184325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_module PASSED [0.0552s] [ 42%] 2023-07-07T20:05:40.3184569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_embedding_renorm PASSED [0.0248s] [ 42%] 2023-07-07T20:05:40.3184850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_empty_branch PASSED [0.0155s] [ 42%] 2023-07-07T20:05:40.3185087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_eq PASSED [0.0429s] [ 42%] 2023-07-07T20:05:40.3185326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_eye PASSED [0.0345s] [ 42%] 2023-07-07T20:05:40.3185590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor PASSED [0.0162s] [ 42%] 2023-07-07T20:05:40.3185858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_fill PASSED [0.0313s] [ 42%] 2023-07-07T20:05:40.3186100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flatten PASSED [0.0281s] [ 42%] 2023-07-07T20:05:40.3186348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flatten2d PASSED [0.0115s] [ 42%] 2023-07-07T20:05:40.3186598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flatten2d_neg PASSED [0.0156s] [ 42%] 2023-07-07T20:05:40.3186866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_flip PASSED [0.0105s] [ 42%] 2023-07-07T20:05:40.3187131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_floating_point_infer_dtype PASSED [0.0361s] [ 42%] 2023-07-07T20:05:40.3187395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim PASSED [0.0187s] [ 42%] 2023-07-07T20:05:40.3187662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_fuse_conv_bn1d PASSED [0.0293s] [ 42%] 2023-07-07T20:05:40.3187902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_gather PASSED [0.0138s] [ 42%] 2023-07-07T20:05:40.3188140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_ge PASSED [0.0432s] [ 42%] 2023-07-07T20:05:40.3188382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_ge_scalar PASSED [0.0237s] [ 42%] 2023-07-07T20:05:40.3188722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0013s] (Unsupported opset_version: 12 < 16) [ 42%] 2023-07-07T20:05:40.3189058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 12 < 16) [ 42%] 2023-07-07T20:05:40.3189388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 42%] 2023-07-07T20:05:40.3189723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 42%] 2023-07-07T20:05:40.3190054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 42%] 2023-07-07T20:05:40.3190404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 12 < 16) [ 42%] 2023-07-07T20:05:40.3190667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_groupnorm_noaffine PASSED [0.1595s] [ 42%] 2023-07-07T20:05:40.3190916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias PASSED [0.2168s] [ 42%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_loop PASSED [1.6529s] [ 43%] 2023-07-07T20:05:40.3198391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_singular PASSED [0.0354s] [ 43%] 2023-07-07T20:05:40.3198783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_slice_index PASSED [0.3256s] [ 43%] 2023-07-07T20:05:40.3199184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_fill PASSED [0.0186s] [ 43%] 2023-07-07T20:05:40.3199613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_index_select_scaler_index PASSED [0.0121s] [ 43%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error SKIPPED [0.0010s] (Skip verify test for TorchScript.) 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opset_version: 12 < 13) [ 43%] 2023-07-07T20:05:40.3207795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_idx_sum SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 43%] 2023-07-07T20:05:40.3208042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_pass PASSED [0.0990s] [ 43%] 2023-07-07T20:05:40.3208336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_pop_in_block SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 43%] 2023-07-07T20:05:40.3208581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_set PASSED [0.0199s] [ 43%] 2023-07-07T20:05:40.3208838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted PASSED [0.0277s] [ 43%] 2023-07-07T20:05:40.3209077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_log PASSED [0.0093s] [ 43%] 2023-07-07T20:05:40.3209319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_log10 PASSED [0.0102s] [ 43%] 2023-07-07T20:05:40.3209557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_log1p PASSED [0.0102s] [ 43%] 2023-07-07T20:05:40.3209835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logdet PASSED [0.0093s] [ 43%] 2023-07-07T20:05:40.3210080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logical_or PASSED [0.0322s] [ 43%] 2023-07-07T20:05:40.3210330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logical_xor PASSED [0.0322s] [ 43%] 2023-07-07T20:05:40.3210570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_logit PASSED [0.0433s] [ 43%] 2023-07-07T20:05:40.3210853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_dynamic PASSED [0.0567s] [ 43%] 2023-07-07T20:05:40.3211110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_multi_dim PASSED [0.0223s] [ 43%] 2023-07-07T20:05:40.3211356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0997s] [ 43%] 2023-07-07T20:05:40.3211630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_transpose PASSED [0.0271s] [ 43%] 2023-07-07T20:05:40.3211862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_loop_with_list PASSED [0.0394s] [ 43%] 2023-07-07T20:05:40.3212113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0111s] [ 43%] 2023-07-07T20:05:40.3212357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lower_tuple_3 PASSED [0.0309s] [ 43%] 2023-07-07T20:05:40.3212695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_constant_folding PASSED [0.2293s] [ 43%] 2023-07-07T20:05:40.3212951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size PASSED [0.0787s] [ 43%] 2023-07-07T20:05:40.3213197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_bias PASSED [0.3489s] [ 43%] 2023-07-07T20:05:40.3213444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_no_hidden PASSED [0.0706s] [ 43%] 2023-07-07T20:05:40.3213697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden PASSED [0.0480s] [ 43%] 2023-07-07T20:05:40.3213952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_lstm_sequence PASSED [0.1860s] [ 43%] 2023-07-07T20:05:40.3214198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0225s] [ 43%] 2023-07-07T20:05:40.3214456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_fill_inplace PASSED [0.0361s] [ 43%] 2023-07-07T20:05:40.3214703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_scatter PASSED [0.0183s] [ 43%] 2023-07-07T20:05:40.3214951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_masked_select PASSED [0.0129s] [ 43%] 2023-07-07T20:05:40.3215212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_matmul_batch PASSED [0.0181s] [ 43%] 2023-07-07T20:05:40.3215464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maximum_minimum PASSED [0.0100s] [ 43%] 2023-07-07T20:05:40.3215718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil PASSED [0.0176s] [ 43%] 2023-07-07T20:05:40.3215972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil PASSED [0.4038s] [ 43%] 2023-07-07T20:05:40.3216267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0149s] [ 43%] 2023-07-07T20:05:40.3216527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0134s] [ 43%] 2023-07-07T20:05:40.3216765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mish PASSED [0.0097s] [ 43%] 2023-07-07T20:05:40.3217085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 43%] 2023-07-07T20:05:40.3217719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0007s] (Unsupported opset_version: 12 < 15) [ 43%] 2023-07-07T20:05:40.3218006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mod_with_low_precision PASSED [0.0485s] [ 43%] 2023-07-07T20:05:40.3218250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0158s] [ 43%] 2023-07-07T20:05:40.3218494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_movedim PASSED [0.0161s] [ 43%] 2023-07-07T20:05:40.3218724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0513s] [ 43%] 2023-07-07T20:05:40.3219027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_multi_scale_roi_align SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3219279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_multinomial PASSED [0.0198s] [ 43%] 2023-07-07T20:05:40.3219517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_narrow PASSED [0.0122s] [ 43%] 2023-07-07T20:05:40.3219765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0129s] [ 43%] 2023-07-07T20:05:40.3220019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output PASSED [0.0109s] [ 43%] 2023-07-07T20:05:40.3220265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_new_empty PASSED [0.0291s] [ 43%] 2023-07-07T20:05:40.3220561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index PASSED [0.0246s] [ 43%] 2023-07-07T20:05:40.3220837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights PASSED [0.0261s] [ 43%] 2023-07-07T20:05:40.3221099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights PASSED [0.0252s] [ 43%] 2023-07-07T20:05:40.3221345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_sum PASSED [0.0252s] [ 43%] 2023-07-07T20:05:40.3221609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nms PASSED [0.0245s] [ 43%] 2023-07-07T20:05:40.3221898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_nonzero SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3222132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0161s] [ 43%] 2023-07-07T20:05:40.3222402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_numel PASSED [0.0109s] [ 43%] 2023-07-07T20:05:40.3222651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0107s] [ 43%] 2023-07-07T20:05:40.3222898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_numpy_T PASSED [0.0086s] [ 43%] 2023-07-07T20:05:40.3223233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 43%] 2023-07-07T20:05:40.3223542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 43%] 2023-07-07T20:05:40.3223798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance PASSED [0.0107s] [ 43%] 2023-07-07T20:05:40.3224040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_pow PASSED [0.0659s] [ 43%] 2023-07-07T20:05:40.3224281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_prelu PASSED [0.0106s] [ 43%] 2023-07-07T20:05:40.3224529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0321s] [ 43%] 2023-07-07T20:05:40.3224789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer PASSED [0.0092s] [ 43%] 2023-07-07T20:05:40.3225076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0129s] [ 43%] 2023-07-07T20:05:40.3225353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0134s] [ 43%] 2023-07-07T20:05:40.3225592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d PASSED [0.0232s] [ 43%] 2023-07-07T20:05:40.3225906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 43%] 2023-07-07T20:05:40.3226203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 43%] 2023-07-07T20:05:40.3226497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel SKIPPED [0.0007s] (Unsupported opset_version: 12 < 13) [ 43%] 2023-07-07T20:05:40.3226772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_maxpool2d PASSED [0.0248s] [ 43%] 2023-07-07T20:05:40.3227030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d PASSED [0.0256s] [ 43%] 2023-07-07T20:05:40.3227301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d PASSED [0.0104s] [ 43%] 2023-07-07T20:05:40.3227637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_shape SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3227952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3228278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3228638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3228894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d PASSED [0.0336s] [ 43%] 2023-07-07T20:05:40.3229155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0294s] [ 43%] 2023-07-07T20:05:40.3229422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d PASSED [0.0363s] [ 43%] 2023-07-07T20:05:40.3229676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_flatten PASSED [0.0161s] [ 43%] 2023-07-07T20:05:40.3230045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 43%] 2023-07-07T20:05:40.3230357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3230667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3230973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3231321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3231623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3231924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3232262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3232507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rand PASSED [0.0134s] [ 43%] 2023-07-07T20:05:40.3232753Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rand_like PASSED [0.0206s] [ 43%] 2023-07-07T20:05:40.3233019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_randn PASSED [0.0127s] [ 43%] 2023-07-07T20:05:40.3233274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0129s] [ 43%] 2023-07-07T20:05:40.3233533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes PASSED [0.0201s] [ 43%] 2023-07-07T20:05:40.3233800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_relu6 PASSED [0.0114s] [ 43%] 2023-07-07T20:05:40.3234043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_remainder PASSED [0.0430s] [ 43%] 2023-07-07T20:05:40.3234286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar PASSED [0.0167s] [ 43%] 2023-07-07T20:05:40.3234525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_repeat PASSED [0.0160s] [ 43%] 2023-07-07T20:05:40.3234865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0147s] [ 43%] 2023-07-07T20:05:40.3235127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_replication_pad PASSED [0.0263s] [ 43%] 2023-07-07T20:05:40.3235662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 43%] 2023-07-07T20:05:40.3235921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_reshape_constant_fold PASSED [0.0095s] [ 43%] 2023-07-07T20:05:40.3236173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_resize_images PASSED [0.0741s] [ 43%] 2023-07-07T20:05:40.3236587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3237035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3237432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3237863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3238272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3238695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 43%] 2023-07-07T20:05:40.3239097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) 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[ 44%] 2023-07-07T20:05:40.3278384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3278783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3279187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3279604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3279890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rnn_no_bias SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3280252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_roi_align SKIPPED [0.0012s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 44%] 2023-07-07T20:05:40.3280489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_round PASSED [0.0140s] [ 44%] 2023-07-07T20:05:40.3280732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rsqrt PASSED [0.0102s] [ 44%] 2023-07-07T20:05:40.3280981Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_rsqrt_zeros PASSED [0.0100s] [ 44%] 2023-07-07T20:05:40.3281224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.1912s] [ 44%] 2023-07-07T20:05:40.3281468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_add PASSED [0.0240s] [ 44%] 2023-07-07T20:05:40.3281809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src SKIPPED [0.0009s] (Unsupported opset_version: 12 < 16) [ 44%] 2023-07-07T20:05:40.3282152Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 44%] 2023-07-07T20:05:40.3282441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0007s] (Unsupported opset_version: 12 < 16) [ 44%] 2023-07-07T20:05:40.3282711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_select PASSED [0.0127s] [ 44%] 2023-07-07T20:05:40.3282972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0125s] [ 44%] 2023-07-07T20:05:40.3283276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 44%] 2023-07-07T20:05:40.3283591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 44%] 2023-07-07T20:05:40.3283830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_ PASSED [0.0168s] [ 44%] 2023-07-07T20:05:40.3284072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr PASSED [0.0172s] [ 44%] 2023-07-07T20:05:40.3284303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2 PASSED [0.0191s] [ 44%] 2023-07-07T20:05:40.3284760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 44%] 2023-07-07T20:05:40.3285018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0695s] [ 44%] 2023-07-07T20:05:40.3285259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_silu PASSED [0.0099s] [ 44%] 2023-07-07T20:05:40.3285499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_size PASSED [0.0323s] [ 44%] 2023-07-07T20:05:40.3285789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 44%] 2023-07-07T20:05:40.3288842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0008s] [ 44%] 2023-07-07T20:05:40.3289136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0110s] [ 44%] 2023-07-07T20:05:40.3289381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze PASSED [0.0103s] [ 44%] 2023-07-07T20:05:40.3289637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0129s] [ 44%] 2023-07-07T20:05:40.3289928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg PASSED [0.0132s] [ 44%] 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2023-07-07T20:05:40.3291941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic PASSED [0.0093s] [ 44%] 2023-07-07T20:05:40.3292327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0291s] [ 44%] 2023-07-07T20:05:40.3292769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0010s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3293234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3293716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3294160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3294602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3295066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3295555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0007s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3296006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0007s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3296487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3296938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_window_length SKIPPED [0.0007s] (Unsupported opset_version: 12 < 17) [ 44%] 2023-07-07T20:05:40.3297339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference PASSED [0.0564s] [ 44%] 2023-07-07T20:05:40.3297785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0568s] [ 44%] 2023-07-07T20:05:40.3298196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 PASSED [0.0458s] [ 44%] 2023-07-07T20:05:40.3298607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes PASSED [0.0160s] [ 44%] 2023-07-07T20:05:40.3299022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.1641s] [ 44%] 2023-07-07T20:05:40.3299420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0783s] [ 44%] 2023-07-07T20:05:40.3299697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2 PASSED [0.0191s] [ 44%] 2023-07-07T20:05:40.3299938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_take PASSED [0.0124s] [ 44%] 2023-07-07T20:05:40.3300184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0156s] [ 44%] 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[0.0009s] (Unsupported opset_version: 12 < 13) [ 44%] 2023-07-07T20:05:40.3301915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensor_split_scalar SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 44%] 2023-07-07T20:05:40.3302172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count PASSED [0.0257s] [ 44%] 2023-07-07T20:05:40.3302433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_list PASSED [0.0252s] [ 44%] 2023-07-07T20:05:40.3302705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim PASSED [0.0304s] [ 44%] 2023-07-07T20:05:40.3302949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk PASSED [0.0125s] [ 44%] 2023-07-07T20:05:40.3303200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk_int32_k PASSED [0.0131s] [ 44%] 2023-07-07T20:05:40.3303447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0104s] [ 44%] 2023-07-07T20:05:40.3303735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted PASSED [0.0172s] [ 44%] 2023-07-07T20:05:40.3303985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_trace_script PASSED [0.0174s] [ 44%] 2023-07-07T20:05:40.3304281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_transform_images SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3304541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_transpose_infer_shape PASSED [0.0213s] [ 44%] 2023-07-07T20:05:40.3304857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script SKIPPED [0.0010s] (Unsupported opset_version: 12 < 15) [ 44%] 2023-07-07T20:05:40.3305109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0116s] [ 44%] 2023-07-07T20:05:40.3305614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_tuple_with_none_outputs SKIPPED [0.0009s] (Skip verify test for TorchScript. In trace: Outputs that are always None are removed. In script: Outputs that are always None are removed before opset 15. After opset 15, we replace the None in output with Optional node.) [ 44%] 2023-07-07T20:05:40.3305865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_type_as PASSED [0.0260s] [ 44%] 2023-07-07T20:05:40.3306141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_unbind PASSED [0.0313s] [ 44%] 2023-07-07T20:05:40.3306395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized PASSED [0.0159s] [ 44%] 2023-07-07T20:05:40.3306644Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_dynamic PASSED [0.0275s] [ 44%] 2023-07-07T20:05:40.3306941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList SKIPPED [0.0010s] (Unsupported opset_version: 12 < 14) [ 44%] 2023-07-07T20:05:40.3307267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList SKIPPED [0.0008s] (Unsupported opset_version: 12 < 14) [ 44%] 2023-07-07T20:05:40.3307510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var PASSED [0.1770s] [ 44%] 2023-07-07T20:05:40.3307756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0282s] [ 44%] 2023-07-07T20:05:40.3308028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim PASSED [0.0270s] [ 44%] 2023-07-07T20:05:40.3308283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_mean_along_dims PASSED [0.0357s] [ 44%] 2023-07-07T20:05:40.3308540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_var_mean_correction PASSED [0.0266s] [ 44%] 2023-07-07T20:05:40.3308781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_view_as PASSED [0.0119s] [ 44%] 2023-07-07T20:05:40.3309105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3309348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_where PASSED [0.0102s] [ 44%] 2023-07-07T20:05:40.3309602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor PASSED [0.0104s] [ 44%] 2023-07-07T20:05:40.3309863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU PASSED [0.1385s] [ 44%] 2023-07-07T20:05:40.3310168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3310422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH PASSED [0.0920s] [ 44%] 2023-07-07T20:05:40.3310728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 44%] 2023-07-07T20:05:40.3310970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_MSELoss PASSED [0.0257s] [ 44%] 2023-07-07T20:05:40.3311221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_add_inplace PASSED [0.0067s] [ 44%] 2023-07-07T20:05:40.3311489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_all PASSED [0.0203s] [ 44%] 2023-07-07T20:05:40.3311797Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none SKIPPED [0.0009s] (Unsupported opset_version: 12 < 15) [ 44%] 2023-07-07T20:05:40.3312112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 44%] 2023-07-07T20:05:40.3312356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0100s] [ 44%] 2023-07-07T20:05:40.3312643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic PASSED [0.0208s] [ 44%] 2023-07-07T20:05:40.3312893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0336s] [ 44%] 2023-07-07T20:05:40.3313149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype PASSED [0.0409s] [ 44%] 2023-07-07T20:05:40.3313420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type PASSED [0.0190s] [ 44%] 2023-07-07T20:05:40.3313674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0212s] [ 44%] 2023-07-07T20:05:40.3313918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out PASSED [0.0199s] [ 44%] 2023-07-07T20:05:40.3314200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats PASSED [0.0510s] [ 44%] 2023-07-07T20:05:40.3314467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override PASSED [0.0222s] [ 44%] 2023-07-07T20:05:40.3314813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax PASSED [0.0173s] [ 44%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0101s] [ 44%] 2023-07-07T20:05:40.3316904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0104s] [ 44%] 2023-07-07T20:05:40.3317386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0117s] [ 44%] 2023-07-07T20:05:40.3317963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0054s] [ 44%] 2023-07-07T20:05:40.3318505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.3318645Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0042s] [ 44%] 2023-07-07T20:05:40.3319183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0053s] [ 44%] 2023-07-07T20:05:40.3319711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.3319822Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0041s] [ 44%] 2023-07-07T20:05:40.3320382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0049s] [ 44%] 2023-07-07T20:05:40.3320935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0045s] [ 44%] 2023-07-07T20:05:40.3321512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.3321650Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.3321738Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.3321748Z 2023-07-07T20:05:40.3321883Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.3322017Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.3322204Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0040s] [ 44%] 2023-07-07T20:05:40.3322454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0150s] [ 44%] 2023-07-07T20:05:40.3322759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0202s] [ 44%] 2023-07-07T20:05:40.3323041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0213s] [ 44%] 2023-07-07T20:05:40.3323336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0355s] [ 44%] 2023-07-07T20:05:40.3323638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0337s] [ 44%] 2023-07-07T20:05:40.3323962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0343s] [ 44%] 2023-07-07T20:05:40.3324259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0223s] [ 44%] 2023-07-07T20:05:40.3324638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.6788s] [ 44%] 2023-07-07T20:05:40.3324904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0352s] [ 44%] 2023-07-07T20:05:40.3325220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d PASSED [0.0133s] [ 44%] 2023-07-07T20:05:40.3325495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats PASSED [0.0236s] [ 45%] 2023-07-07T20:05:40.3325746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0138s] [ 45%] 2023-07-07T20:05:40.3326057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0211s] [ 45%] 2023-07-07T20:05:40.3326312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d PASSED [0.1238s] [ 45%] 2023-07-07T20:05:40.3326585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer PASSED [0.1249s] [ 45%] 2023-07-07T20:05:40.3326875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training PASSED [0.0898s] [ 45%] 2023-07-07T20:05:40.3327110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bernoulli PASSED [0.0143s] [ 45%] 2023-07-07T20:05:40.3327357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p PASSED [0.0286s] [ 45%] 2023-07-07T20:05:40.3327625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits PASSED [0.1338s] [ 45%] 2023-07-07T20:05:40.3327871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0148s] [ 45%] 2023-07-07T20:05:40.3328116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_bucketize PASSED [0.0176s] [ 45%] 2023-07-07T20:05:40.3328362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cdist PASSED [0.0093s] [ 45%] 2023-07-07T20:05:40.3328605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_celu_cast PASSED [0.0061s] [ 45%] 2023-07-07T20:05:40.3328856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_celu_default PASSED [0.0049s] [ 45%] 2023-07-07T20:05:40.3329099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_clip_int PASSED [0.0059s] [ 45%] 2023-07-07T20:05:40.3329341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_concat PASSED [0.0053s] [ 45%] 2023-07-07T20:05:40.3329729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic PASSED [0.0039s] [ 45%] 2023-07-07T20:05:40.3330110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0245s] [ 45%] 2023-07-07T20:05:40.3330463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv PASSED [0.5721s] [ 45%] 2023-07-07T20:05:40.3330852Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0465s] [ 45%] 2023-07-07T20:05:40.3331258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv_tbc PASSED [0.0081s] [ 45%] 2023-07-07T20:05:40.3331642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_conv_transpose PASSED [0.3631s] [ 45%] 2023-07-07T20:05:40.3332004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_copy_ PASSED [0.2594s] [ 45%] 2023-07-07T20:05:40.3332430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script PASSED [0.0418s] [ 45%] 2023-07-07T20:05:40.3332807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing PASSED [0.0246s] [ 45%] 2023-07-07T20:05:40.3333169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cross PASSED [0.0311s] [ 45%] 2023-07-07T20:05:40.3333564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss PASSED [0.3445s] [ 45%] 2023-07-07T20:05:40.3333978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cumsum PASSED [0.0050s] [ 45%] 2023-07-07T20:05:40.3334359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast PASSED [0.0100s] [ 45%] 2023-07-07T20:05:40.3334724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_data PASSED [0.0045s] [ 45%] 2023-07-07T20:05:40.3335081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_derive_index PASSED [0.0659s] [ 45%] 2023-07-07T20:05:40.3335456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_device_eq PASSED [0.0056s] [ 45%] 2023-07-07T20:05:40.3335894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_diagonal SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 45%] 2023-07-07T20:05:40.3336255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dict PASSED [0.0134s] [ 45%] 2023-07-07T20:05:40.3336622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dim_1 PASSED [0.0041s] [ 45%] 2023-07-07T20:05:40.3336996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dist_normal PASSED [0.0526s] [ 45%] 2023-07-07T20:05:40.3337396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness PASSED [0.0202s] [ 45%] 2023-07-07T20:05:40.3337818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0138s] [ 45%] 2023-07-07T20:05:40.3338207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0091s] [ 45%] 2023-07-07T20:05:40.3338487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dot PASSED [0.0077s] [ 45%] 2023-07-07T20:05:40.3338731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dropout PASSED [0.0048s] [ 45%] 2023-07-07T20:05:40.3339021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dropout_training PASSED [0.0123s] [ 45%] 2023-07-07T20:05:40.3339248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dtype PASSED [0.0030s] [ 45%] 2023-07-07T20:05:40.3339499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq PASSED [0.0029s] [ 45%] 2023-07-07T20:05:40.3339756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out PASSED [0.0075s] [ 45%] 2023-07-07T20:05:40.3340028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_einsum PASSED [0.0393s] [ 45%] 2023-07-07T20:05:40.3340279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_embedding PASSED [0.0177s] [ 45%] 2023-07-07T20:05:40.3340533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_embedding_module PASSED [0.0185s] [ 45%] 2023-07-07T20:05:40.3340808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_empty_branch PASSED [0.0036s] [ 45%] 2023-07-07T20:05:40.3341064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape PASSED [0.0249s] [ 45%] 2023-07-07T20:05:40.3341300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_eq PASSED [0.0134s] [ 45%] 2023-07-07T20:05:40.3341540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_expand PASSED [0.0241s] [ 45%] 2023-07-07T20:05:40.3341782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_eye PASSED [0.0224s] [ 45%] 2023-07-07T20:05:40.3342086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_channel SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 45%] 2023-07-07T20:05:40.3342325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_fill PASSED [0.0156s] [ 45%] 2023-07-07T20:05:40.3342570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_flatten_dynamic_axes PASSED [0.0078s] [ 45%] 2023-07-07T20:05:40.3342807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_flip PASSED [0.0056s] [ 45%] 2023-07-07T20:05:40.3343124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_floor_div SKIPPED [0.0001s] (Floor division on ONNX is 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0009s] (Unsupported opset_version: 12 < 16) [ 45%] 2023-07-07T20:05:40.3346330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 12 < 16) [ 45%] 2023-07-07T20:05:40.3346670Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 45%] 2023-07-07T20:05:40.3347001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0013s] (Unsupported opset_version: 12 < 16) [ 45%] 2023-07-07T20:05:40.3348727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0012s] (Unsupported opset_version: 12 < 16) [ 45%] 2023-07-07T20:05:40.3349058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0010s] (Unsupported opset_version: 12 < 16) [ 45%] 2023-07-07T20:05:40.3349390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED 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2023-07-07T20:05:40.3362408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_le PASSED [0.0140s] [ 45%] 2023-07-07T20:05:40.3362649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_len PASSED [0.0031s] [ 45%] 2023-07-07T20:05:40.3362894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_len_list PASSED [0.0030s] [ 45%] 2023-07-07T20:05:40.3363135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lerp PASSED [0.0472s] [ 45%] 2023-07-07T20:05:40.3363386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0343s] [ 45%] 2023-07-07T20:05:40.3363630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.1553s] [ 45%] 2023-07-07T20:05:40.3363872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linear PASSED [0.0155s] [ 45%] 2023-07-07T20:05:40.3364118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_linspace PASSED [0.0096s] [ 45%] 2023-07-07T20:05:40.3364360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list PASSED [0.0043s] [ 45%] 2023-07-07T20:05:40.3364718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append PASSED [0.0053s] [ 45%] 2023-07-07T20:05:40.3365034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block PASSED [0.0049s] [ 45%] 2023-07-07T20:05:40.3365341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_nested_block SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 45%] 2023-07-07T20:05:40.3365636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested SKIPPED [0.0007s] (Unsupported opset_version: 12 < 13) [ 45%] 2023-07-07T20:05:40.3365959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_2 SKIPPED [0.0007s] (Unsupported opset_version: 12 < 14) [ 45%] 2023-07-07T20:05:40.3366256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block SKIPPED [0.0007s] (Unsupported opset_version: 12 < 13) [ 45%] 2023-07-07T20:05:40.3366547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested SKIPPED [0.0007s] (Unsupported opset_version: 12 < 13) [ 45%] 2023-07-07T20:05:40.3366862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum SKIPPED [0.0007s] (Unsupported opset_version: 12 < 13) [ 45%] 2023-07-07T20:05:40.3367114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_set PASSED [0.0054s] [ 45%] 2023-07-07T20:05:40.3367363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_unpack PASSED [0.0053s] [ 45%] 2023-07-07T20:05:40.3367666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted PASSED [0.0083s] [ 45%] 2023-07-07T20:05:40.3367903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_log PASSED [0.0047s] [ 45%] 2023-07-07T20:05:40.3368147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_log10 PASSED [0.0055s] [ 45%] 2023-07-07T20:05:40.3368374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_log2 PASSED [0.0056s] [ 45%] 2023-07-07T20:05:40.3368616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logdet PASSED [0.0148s] [ 45%] 2023-07-07T20:05:40.3368867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logical_and PASSED [0.0227s] [ 45%] 2023-07-07T20:05:40.3369111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logical_not PASSED [0.0139s] [ 45%] 2023-07-07T20:05:40.3369352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logical_xor PASSED [0.0158s] [ 45%] 2023-07-07T20:05:40.3369597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logit PASSED [0.0411s] [ 45%] 2023-07-07T20:05:40.3369848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax PASSED [0.0215s] [ 45%] 2023-07-07T20:05:40.3370099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim PASSED [0.0314s] [ 45%] 2023-07-07T20:05:40.3370376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0033s] [ 45%] 2023-07-07T20:05:40.3370623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_multi_dim PASSED [0.0033s] [ 45%] 2023-07-07T20:05:40.3370868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_nested PASSED [0.0031s] [ 45%] 2023-07-07T20:05:40.3371260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose PASSED [0.0052s] [ 45%] 2023-07-07T20:05:40.3371626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list PASSED [0.0047s] [ 45%] 2023-07-07T20:05:40.3371986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple PASSED [0.0101s] [ 45%] 2023-07-07T20:05:40.3372345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm PASSED [0.0224s] [ 45%] 2023-07-07T20:05:40.3372749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell PASSED [0.0341s] [ 45%] 2023-07-07T20:05:40.3373151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state PASSED [0.0264s] [ 45%] 2023-07-07T20:05:40.3373525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden PASSED [0.0265s] [ 45%] 2023-07-07T20:05:40.3373962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state PASSED [0.0302s] [ 45%] 2023-07-07T20:05:40.3374346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence PASSED [0.0913s] [ 45%] 2023-07-07T20:05:40.3374708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lt PASSED [0.0613s] [ 45%] 2023-07-07T20:05:40.3375080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar PASSED [0.0310s] [ 45%] 2023-07-07T20:05:40.3375455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_masked_fill PASSED [0.0145s] [ 45%] 2023-07-07T20:05:40.3375853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace PASSED [0.0057s] [ 45%] 2023-07-07T20:05:40.3376233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_masked_select PASSED [0.0082s] [ 45%] 2023-07-07T20:05:40.3376608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum PASSED [0.0054s] [ 45%] 2023-07-07T20:05:40.3376980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0067s] [ 45%] 2023-07-07T20:05:40.3377362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0158s] [ 45%] 2023-07-07T20:05:40.3377743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_3d_ceil PASSED [0.4431s] [ 45%] 2023-07-07T20:05:40.3378164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_adaptive PASSED [0.0081s] [ 45%] 2023-07-07T20:05:40.3378562Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride PASSED [0.0093s] [ 45%] 2023-07-07T20:05:40.3378952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0108s] [ 45%] 2023-07-07T20:05:40.3379360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_meshgrid PASSED [0.0144s] [ 45%] 2023-07-07T20:05:40.3379726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_min_int PASSED [0.0063s] [ 45%] 2023-07-07T20:05:40.3380168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional SKIPPED [0.0009s] (Unsupported opset_version: 12 < 15) [ 45%] 2023-07-07T20:05:40.3380658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0008s] (Unsupported opset_version: 12 < 15) [ 45%] 2023-07-07T20:05:40.3381142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 45%] 2023-07-07T20:05:40.3381511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mul_bool PASSED [0.0111s] [ 45%] 2023-07-07T20:05:40.3381807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_multinomial PASSED [0.0096s] [ 46%] 2023-07-07T20:05:40.3382063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.1810s] [ 46%] 2023-07-07T20:05:40.3382301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_mv PASSED [0.0700s] [ 46%] 2023-07-07T20:05:40.3382543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_narrow PASSED [0.0381s] [ 46%] 2023-07-07T20:05:40.3382801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0342s] [ 46%] 2023-07-07T20:05:40.3383057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0702s] [ 46%] 2023-07-07T20:05:40.3383305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_new_zeros PASSED [0.0696s] [ 46%] 2023-07-07T20:05:40.3383550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss PASSED [0.0285s] [ 46%] 2023-07-07T20:05:40.3383812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights PASSED [0.0160s] [ 46%] 2023-07-07T20:05:40.3384060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum PASSED [0.0153s] [ 46%] 2023-07-07T20:05:40.3384329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index PASSED [0.0128s] [ 46%] 2023-07-07T20:05:40.3384603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nms PASSED [0.0086s] [ 46%] 2023-07-07T20:05:40.3384856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness PASSED [0.0130s] [ 46%] 2023-07-07T20:05:40.3385102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_nonzero PASSED [0.0080s] [ 46%] 2023-07-07T20:05:40.3385343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_numel PASSED [0.0060s] [ 46%] 2023-07-07T20:05:40.3385614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0039s] [ 46%] 2023-07-07T20:05:40.3385857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_one_hot PASSED [0.0133s] [ 46%] 2023-07-07T20:05:40.3386101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0108s] [ 46%] 2023-07-07T20:05:40.3386433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 46%] 2023-07-07T20:05:40.3386749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 46%] 2023-07-07T20:05:40.3387010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative PASSED [0.0067s] [ 46%] 2023-07-07T20:05:40.3387305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list PASSED [0.0155s] [ 46%] 2023-07-07T20:05:40.3387558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle PASSED [0.0161s] [ 46%] 2023-07-07T20:05:40.3387805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_prim_min PASSED [0.0232s] [ 46%] 2023-07-07T20:05:40.3388069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0049s] [ 46%] 2023-07-07T20:05:40.3388573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3388924Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3388992Z PASSED [0.0201s] [ 46%] 2023-07-07T20:05:40.3389287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 46%] 2023-07-07T20:05:40.3389828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3390180Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3390257Z PASSED [0.0187s] [ 46%] 2023-07-07T20:05:40.3390532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale PASSED [0.0153s] [ 46%] 2023-07-07T20:05:40.3390819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d PASSED [0.0537s] [ 46%] 2023-07-07T20:05:40.3391081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0400s] [ 46%] 2023-07-07T20:05:40.3391339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d PASSED [0.0409s] [ 46%] 2023-07-07T20:05:40.3391588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d PASSED [0.0404s] [ 46%] 2023-07-07T20:05:40.3391883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d PASSED [0.0381s] [ 46%] 2023-07-07T20:05:40.3392151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d PASSED [0.0614s] [ 46%] 2023-07-07T20:05:40.3392406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten PASSED [0.0154s] [ 46%] 2023-07-07T20:05:40.3392695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear PASSED [0.0309s] [ 46%] 2023-07-07T20:05:40.3392956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand PASSED [0.0163s] [ 46%] 2023-07-07T20:05:40.3393226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm PASSED [0.0226s] [ 46%] 2023-07-07T20:05:40.3393498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid PASSED [0.0388s] [ 46%] 2023-07-07T20:05:40.3393769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm PASSED [0.0823s] [ 46%] 2023-07-07T20:05:40.3394040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm PASSED [0.0969s] [ 46%] 2023-07-07T20:05:40.3394322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish PASSED [0.0237s] [ 46%] 2023-07-07T20:05:40.3394600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu PASSED [0.0175s] [ 46%] 2023-07-07T20:05:40.3394969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0146s] [ 46%] 2023-07-07T20:05:40.3395260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu PASSED [0.0131s] [ 46%] 2023-07-07T20:05:40.3395506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand PASSED [0.0084s] [ 46%] 2023-07-07T20:05:40.3395757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0098s] [ 46%] 2023-07-07T20:05:40.3396003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand_like PASSED [0.0114s] [ 46%] 2023-07-07T20:05:40.3396279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype PASSED [0.0128s] [ 46%] 2023-07-07T20:05:40.3396523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0113s] [ 46%] 2023-07-07T20:05:40.3396785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0094s] [ 46%] 2023-07-07T20:05:40.3397039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0076s] [ 46%] 2023-07-07T20:05:40.3397315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum PASSED [0.0348s] [ 46%] 2023-07-07T20:05:40.3397561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_relu6 PASSED [0.0065s] [ 46%] 2023-07-07T20:05:40.3397815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0105s] [ 46%] 2023-07-07T20:05:40.3398097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_repeat PASSED [0.0104s] [ 46%] 2023-07-07T20:05:40.3398353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave PASSED [0.0525s] [ 46%] 2023-07-07T20:05:40.3398607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0231s] [ 46%] 2023-07-07T20:05:40.3398866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0058s] [ 46%] 2023-07-07T20:05:40.3399116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_resize_images PASSED [0.0527s] [ 46%] 2023-07-07T20:05:40.3399734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3400087Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3400430Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3400498Z PASSED [0.0551s] [ 46%] 2023-07-07T20:05:40.3400886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0403s] [ 46%] 2023-07-07T20:05:40.3401510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3401882Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3402226Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3402306Z PASSED [0.0801s] [ 46%] 2023-07-07T20:05:40.3402945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3403296Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3403661Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3403741Z PASSED [0.0483s] [ 46%] 2023-07-07T20:05:40.3404347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3404811Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3405158Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3405499Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3405582Z PASSED [0.0484s] [ 46%] 2023-07-07T20:05:40.3406232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3406582Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3406917Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3407034Z PASSED [0.0418s] [ 46%] 2023-07-07T20:05:40.3407643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3408023Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3408372Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3408706Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3408819Z PASSED [0.0422s] [ 46%] 2023-07-07T20:05:40.3409164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0891s] [ 46%] 2023-07-07T20:05:40.3409761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3410108Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3410447Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3410526Z PASSED [0.0786s] [ 46%] 2023-07-07T20:05:40.3411128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3411500Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3411839Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3412175Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3412280Z PASSED [0.0690s] [ 46%] 2023-07-07T20:05:40.3412641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0331s] [ 46%] 2023-07-07T20:05:40.3413024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0252s] [ 46%] 2023-07-07T20:05:40.3413636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3414018Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3414356Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3414434Z PASSED [0.0342s] [ 46%] 2023-07-07T20:05:40.3415040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3415382Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3415715Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3415795Z PASSED [0.0339s] [ 46%] 2023-07-07T20:05:40.3416420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3416759Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3417102Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3417465Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3417533Z PASSED [0.0344s] [ 46%] 2023-07-07T20:05:40.3418168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3418512Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3418848Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3419216Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3419294Z PASSED [0.0347s] [ 46%] 2023-07-07T20:05:40.3419658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0415s] [ 46%] 2023-07-07T20:05:40.3420268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3420609Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3420946Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3421025Z PASSED [0.1436s] [ 46%] 2023-07-07T20:05:40.3421390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0429s] [ 46%] 2023-07-07T20:05:40.3422015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3422353Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3422715Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3422794Z PASSED [0.0314s] [ 46%] 2023-07-07T20:05:40.3423420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3423761Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3424102Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3424209Z PASSED [0.0308s] [ 46%] 2023-07-07T20:05:40.3424810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3425148Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3425484Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3425818Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3425882Z PASSED [0.0310s] [ 46%] 2023-07-07T20:05:40.3426485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3426866Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3427209Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3427541Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3427648Z PASSED [0.0304s] [ 46%] 2023-07-07T20:05:40.3428253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3428621Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3428958Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3429039Z PASSED [0.0245s] [ 46%] 2023-07-07T20:05:40.3429637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3430006Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3430346Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3430683Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3430764Z PASSED [0.0404s] [ 46%] 2023-07-07T20:05:40.3431366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3431706Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3432069Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3432409Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3432486Z PASSED [0.0496s] [ 46%] 2023-07-07T20:05:40.3432841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0207s] [ 46%] 2023-07-07T20:05:40.3433485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3433873Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3434210Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3434277Z PASSED [0.0808s] [ 46%] 2023-07-07T20:05:40.3435001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3435374Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3435715Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3435796Z PASSED [0.0826s] [ 46%] 2023-07-07T20:05:40.3436400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3436740Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3437078Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3437451Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3437533Z PASSED [0.0783s] [ 46%] 2023-07-07T20:05:40.3438148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3438516Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3438857Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3439215Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3439294Z PASSED [0.0531s] [ 46%] 2023-07-07T20:05:40.3439900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3440269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3440607Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3440687Z PASSED [0.0468s] [ 46%] 2023-07-07T20:05:40.3441291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3441631Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3441968Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3442048Z PASSED [0.0418s] [ 46%] 2023-07-07T20:05:40.3442678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3443023Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3443359Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3443712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3443796Z PASSED [0.0420s] [ 46%] 2023-07-07T20:05:40.3444152Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0307s] [ 46%] 2023-07-07T20:05:40.3444944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3445327Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3445667Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3445749Z PASSED [0.0375s] [ 46%] 2023-07-07T20:05:40.3446356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3446703Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3447044Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3447123Z PASSED [0.0373s] [ 46%] 2023-07-07T20:05:40.3447727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3448105Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3448450Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3448786Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3448899Z PASSED [0.0374s] [ 46%] 2023-07-07T20:05:40.3449257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0251s] [ 46%] 2023-07-07T20:05:40.3449642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0251s] [ 46%] 2023-07-07T20:05:40.3450256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3450639Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3450975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3451308Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3451387Z PASSED [0.0346s] [ 46%] 2023-07-07T20:05:40.3451737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0228s] [ 46%] 2023-07-07T20:05:40.3452351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3452691Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3453053Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3453392Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3453469Z PASSED [0.0285s] [ 46%] 2023-07-07T20:05:40.3453836Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0177s] [ 46%] 2023-07-07T20:05:40.3454746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3455289Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3455798Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3455921Z PASSED [0.0308s] [ 46%] 2023-07-07T20:05:40.3456831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3457380Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3457887Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3458401Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3458517Z PASSED [0.0311s] [ 46%] 2023-07-07T20:05:40.3459430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3459948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3460493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3460997Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3461114Z PASSED [0.0305s] [ 46%] 2023-07-07T20:05:40.3462028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3462584Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3463137Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3463651Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3463753Z PASSED [0.0253s] [ 46%] 2023-07-07T20:05:40.3464675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3465221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3465736Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3466188Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3466272Z PASSED [0.0252s] [ 46%] 2023-07-07T20:05:40.3466634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0139s] [ 46%] 2023-07-07T20:05:40.3467238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3467621Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3467963Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3468042Z PASSED [0.1132s] [ 46%] 2023-07-07T20:05:40.3468402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1008s] [ 46%] 2023-07-07T20:05:40.3469049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3469413Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3469748Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3470086Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3470193Z PASSED [0.1082s] [ 46%] 2023-07-07T20:05:40.3470555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0954s] [ 46%] 2023-07-07T20:05:40.3471155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3471500Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3471835Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3471918Z PASSED [0.0708s] [ 46%] 2023-07-07T20:05:40.3472509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3472878Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3473206Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3473540Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3473651Z PASSED [0.0708s] [ 46%] 2023-07-07T20:05:40.3474004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0590s] [ 46%] 2023-07-07T20:05:40.3474702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3475045Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3475384Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3475494Z PASSED [0.0656s] [ 46%] 2023-07-07T20:05:40.3476098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3476439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3476779Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3476858Z PASSED [0.0667s] [ 46%] 2023-07-07T20:05:40.3477460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3477805Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3478173Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3478515Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3478594Z PASSED [0.0664s] [ 46%] 2023-07-07T20:05:40.3478954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0539s] [ 46%] 2023-07-07T20:05:40.3479609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3479974Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3480314Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3480418Z PASSED [0.0536s] [ 46%] 2023-07-07T20:05:40.3481024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3481361Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3481692Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3482031Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3482108Z PASSED [0.0535s] [ 46%] 2023-07-07T20:05:40.3482719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3483061Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3483420Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3483497Z PASSED [0.0481s] [ 46%] 2023-07-07T20:05:40.3484108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3484602Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3484941Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3485326Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3485410Z PASSED [0.0485s] [ 46%] 2023-07-07T20:05:40.3485770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0364s] [ 46%] 2023-07-07T20:05:40.3486171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0367s] [ 46%] 2023-07-07T20:05:40.3486774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3487118Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3487461Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3487541Z PASSED [0.0402s] [ 46%] 2023-07-07T20:05:40.3488144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3488517Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3488857Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3488935Z PASSED [0.0820s] [ 46%] 2023-07-07T20:05:40.3489527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3489900Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3490261Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3490584Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3490664Z PASSED [0.0860s] [ 46%] 2023-07-07T20:05:40.3491010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0483s] [ 46%] 2023-07-07T20:05:40.3491399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0398s] [ 46%] 2023-07-07T20:05:40.3492004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3492354Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3492693Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3492770Z PASSED [0.0580s] [ 46%] 2023-07-07T20:05:40.3493374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3493743Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3494083Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3494163Z PASSED [0.1203s] [ 46%] 2023-07-07T20:05:40.3494761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3495128Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3495490Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3495826Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3495906Z PASSED [0.1872s] [ 46%] 2023-07-07T20:05:40.3496257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0821s] [ 46%] 2023-07-07T20:05:40.3496646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.1474s] [ 46%] 2023-07-07T20:05:40.3497254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3497597Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3497933Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3497997Z PASSED [0.1501s] [ 46%] 2023-07-07T20:05:40.3498601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3498964Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3499300Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3499633Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3499740Z PASSED [0.1201s] [ 46%] 2023-07-07T20:05:40.3500099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1003s] [ 46%] 2023-07-07T20:05:40.3500493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1558s] [ 46%] 2023-07-07T20:05:40.3501455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3501975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3502512Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3502624Z PASSED [0.1563s] [ 46%] 2023-07-07T20:05:40.3503176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1124s] [ 46%] 2023-07-07T20:05:40.3504084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3504601Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3505112Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3505620Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3505738Z PASSED [0.1140s] [ 46%] 2023-07-07T20:05:40.3506297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0740s] [ 46%] 2023-07-07T20:05:40.3507212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3507760Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3508270Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3508797Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3508921Z PASSED [0.0895s] [ 46%] 2023-07-07T20:05:40.3509637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3510026Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3510352Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3510691Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3510773Z PASSED [0.0749s] [ 46%] 2023-07-07T20:05:40.3511129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0588s] [ 46%] 2023-07-07T20:05:40.3511740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3512087Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3512455Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3512535Z PASSED [0.3618s] [ 46%] 2023-07-07T20:05:40.3513143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3513519Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3513861Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3514224Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3514305Z PASSED [0.0537s] [ 46%] 2023-07-07T20:05:40.3514997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3515377Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3515713Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3516050Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3516133Z PASSED [0.0539s] [ 46%] 2023-07-07T20:05:40.3516494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0412s] [ 46%] 2023-07-07T20:05:40.3516855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0406s] [ 46%] 2023-07-07T20:05:40.3517222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0385s] [ 46%] 2023-07-07T20:05:40.3517863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3518204Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3518576Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3518644Z PASSED [0.0400s] [ 46%] 2023-07-07T20:05:40.3519276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3519618Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3519955Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3520325Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3520402Z PASSED [0.0404s] [ 46%] 2023-07-07T20:05:40.3520756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0286s] [ 46%] 2023-07-07T20:05:40.3521353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3521693Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3522028Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3522107Z PASSED [0.0471s] [ 46%] 2023-07-07T20:05:40.3522760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3523101Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3523438Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3523540Z PASSED [0.0454s] [ 46%] 2023-07-07T20:05:40.3523891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0339s] [ 46%] 2023-07-07T20:05:40.3524252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0530s] [ 46%] 2023-07-07T20:05:40.3524688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_roi_pool PASSED [0.0220s] [ 46%] 2023-07-07T20:05:40.3524942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_roll PASSED [0.0601s] [ 46%] 2023-07-07T20:05:40.3525189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_round PASSED [0.0057s] [ 46%] 2023-07-07T20:05:40.3525424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0073s] [ 46%] 2023-07-07T20:05:40.3525703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0067s] [ 46%] 2023-07-07T20:05:40.3525952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0109s] [ 46%] 2023-07-07T20:05:40.3526238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 46%] 2023-07-07T20:05:40.3526491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0158s] [ 46%] 2023-07-07T20:05:40.3526738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scalar_type PASSED [0.0768s] [ 46%] 2023-07-07T20:05:40.3526987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter PASSED [0.0200s] [ 46%] 2023-07-07T20:05:40.3527260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add PASSED [0.0135s] [ 46%] 2023-07-07T20:05:40.3527575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src SKIPPED [0.0009s] (Unsupported opset_version: 12 < 16) [ 46%] 2023-07-07T20:05:40.3527920Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 46%] 2023-07-07T20:05:40.3528294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 46%] 2023-07-07T20:05:40.3528636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 46%] 2023-07-07T20:05:40.3528979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 46%] 2023-07-07T20:05:40.3529270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar PASSED [0.0066s] [ 46%] 2023-07-07T20:05:40.3529536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0063s] [ 46%] 2023-07-07T20:05:40.3529777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_select PASSED [0.0060s] [ 46%] 2023-07-07T20:05:40.3530060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0062s] [ 46%] 2023-07-07T20:05:40.3530360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 46%] 2023-07-07T20:05:40.3530656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 46%] 2023-07-07T20:05:40.3530936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0061s] [ 46%] 2023-07-07T20:05:40.3531182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4 PASSED [0.0075s] [ 46%] 2023-07-07T20:05:40.3531434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop PASSED [0.0078s] [ 47%] 2023-07-07T20:05:40.3531675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_silu PASSED [0.0050s] [ 47%] 2023-07-07T20:05:40.3531938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script PASSED [0.0030s] [ 47%] 2023-07-07T20:05:40.3532198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end PASSED [0.0244s] [ 47%] 2023-07-07T20:05:40.3532447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0075s] [ 47%] 2023-07-07T20:05:40.3532695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0065s] [ 47%] 2023-07-07T20:05:40.3532940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index PASSED [0.0450s] [ 47%] 2023-07-07T20:05:40.3533187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softmax PASSED [0.0842s] [ 47%] 2023-07-07T20:05:40.3533446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0346s] [ 47%] 2023-07-07T20:05:40.3533723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0339s] [ 47%] 2023-07-07T20:05:40.3533982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_softshrink_dtype PASSED [0.0126s] [ 47%] 2023-07-07T20:05:40.3534225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sort PASSED [0.0205s] [ 47%] 2023-07-07T20:05:40.3534476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm PASSED [0.0123s] [ 47%] 2023-07-07T20:05:40.3534750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic PASSED [0.0055s] [ 47%] 2023-07-07T20:05:40.3535008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes PASSED [0.0058s] [ 47%] 2023-07-07T20:05:40.3535264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice PASSED [0.0217s] [ 47%] 2023-07-07T20:05:40.3535543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0010s] [ 47%] 2023-07-07T20:05:40.3535801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0052s] [ 47%] 2023-07-07T20:05:40.3536098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3536375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0046s] [ 47%] 2023-07-07T20:05:40.3536623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0082s] [ 47%] 2023-07-07T20:05:40.3536879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0249s] [ 47%] 2023-07-07T20:05:40.3537137Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0045s] [ 47%] 2023-07-07T20:05:40.3537379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stack PASSED [0.0059s] [ 47%] 2023-07-07T20:05:40.3537632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stack_dynamic PASSED [0.0033s] [ 47%] 2023-07-07T20:05:40.3537869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std PASSED [0.0129s] [ 47%] 2023-07-07T20:05:40.3538121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0162s] [ 47%] 2023-07-07T20:05:40.3538368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0100s] [ 47%] 2023-07-07T20:05:40.3538619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0134s] [ 47%] 2023-07-07T20:05:40.3538898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0167s] [ 47%] 2023-07-07T20:05:40.3539154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0165s] [ 47%] 2023-07-07T20:05:40.3539450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3539739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3540056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3540351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3540642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3540970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3541275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3541604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3541899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 47%] 2023-07-07T20:05:40.3542155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0240s] [ 47%] 2023-07-07T20:05:40.3542417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0428s] [ 47%] 2023-07-07T20:05:40.3542690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange PASSED [0.0485s] [ 47%] 2023-07-07T20:05:40.3542968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0292s] [ 47%] 2023-07-07T20:05:40.3543237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0078s] [ 47%] 2023-07-07T20:05:40.3543510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 PASSED [0.0355s] [ 47%] 2023-07-07T20:05:40.3543780Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0253s] [ 47%] 2023-07-07T20:05:40.3544034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0110s] [ 47%] 2023-07-07T20:05:40.3544329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time PASSED [0.0614s] [ 47%] 2023-07-07T20:05:40.3544568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_take PASSED [0.0093s] [ 47%] 2023-07-07T20:05:40.3544812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0131s] [ 47%] 2023-07-07T20:05:40.3545083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor PASSED [0.0219s] [ 47%] 2023-07-07T20:05:40.3545345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script PASSED [0.0062s] [ 47%] 2023-07-07T20:05:40.3545633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0257s] [ 47%] 2023-07-07T20:05:40.3545901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0074s] [ 47%] 2023-07-07T20:05:40.3546219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_split SKIPPED [0.0012s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3546523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes SKIPPED [0.0011s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3546817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar SKIPPED [0.0014s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3547101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count PASSED [0.0248s] [ 47%] 2023-07-07T20:05:40.3547344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tolist PASSED [0.0043s] [ 47%] 2023-07-07T20:05:40.3547575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0100s] [ 47%] 2023-07-07T20:05:40.3547837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted PASSED [0.0159s] [ 47%] 2023-07-07T20:05:40.3548084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0147s] [ 47%] 2023-07-07T20:05:40.3548340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_transform_images PASSED [0.2163s] [ 47%] 2023-07-07T20:05:40.3548589Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0061s] [ 47%] 2023-07-07T20:05:40.3548881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0013s] (Unsupported opset_version: 12 < 15) [ 47%] 2023-07-07T20:05:40.3549201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 47%] 2023-07-07T20:05:40.3549471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_type_as PASSED [0.0188s] [ 47%] 2023-07-07T20:05:40.3549715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unbind PASSED [0.0191s] [ 47%] 2023-07-07T20:05:40.3549968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic PASSED [0.0070s] [ 47%] 2023-07-07T20:05:40.3550221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0073s] [ 47%] 2023-07-07T20:05:40.3550508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized PASSED [0.0068s] [ 47%] 2023-07-07T20:05:40.3550772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0068s] [ 47%] 2023-07-07T20:05:40.3551061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList SKIPPED [0.0012s] (Unsupported opset_version: 12 < 14) [ 47%] 2023-07-07T20:05:40.3551396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic SKIPPED [0.0011s] (Unsupported opset_version: 12 < 14) [ 47%] 2023-07-07T20:05:40.3551706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape SKIPPED [0.0014s] (Unsupported opset_version: 12 < 14) [ 47%] 2023-07-07T20:05:40.3552003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim SKIPPED [0.0011s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3552282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0225s] [ 47%] 2023-07-07T20:05:40.3552622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0233s] [ 47%] 2023-07-07T20:05:40.3553020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0266s] [ 47%] 2023-07-07T20:05:40.3553385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_view PASSED [0.0069s] [ 47%] 2023-07-07T20:05:40.3553764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic PASSED [0.0203s] [ 47%] 2023-07-07T20:05:40.3554162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic_zero_dim PASSED [0.0072s] [ 47%] 2023-07-07T20:05:40.3554549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_where_condition PASSED [0.0204s] [ 47%] 2023-07-07T20:05:40.3555010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script PASSED [0.0202s] [ 47%] 2023-07-07T20:05:40.3555412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.0927s] [ 47%] 2023-07-07T20:05:40.3555822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input PASSED [0.0085s] [ 47%] 2023-07-07T20:05:40.3556235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0114s] [ 47%] 2023-07-07T20:05:40.3556610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0058s] [ 47%] 2023-07-07T20:05:40.3556989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0082s] [ 47%] 2023-07-07T20:05:40.3557352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_all PASSED [0.0176s] [ 47%] 2023-07-07T20:05:40.3557770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0199s] [ 47%] 2023-07-07T20:05:40.3558150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_end PASSED [0.0134s] [ 47%] 2023-07-07T20:05:40.3558537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype PASSED [0.0180s] [ 47%] 2023-07-07T20:05:40.3558941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_out PASSED [0.0075s] [ 47%] 2023-07-07T20:05:40.3559328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0126s] [ 47%] 2023-07-07T20:05:40.3559730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_notype PASSED [0.0123s] [ 47%] 2023-07-07T20:05:40.3560131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype PASSED [0.0148s] [ 47%] 2023-07-07T20:05:40.3560543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out PASSED [0.0189s] [ 47%] 2023-07-07T20:05:40.3560938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override PASSED [0.0236s] [ 47%] 2023-07-07T20:05:40.3561318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax PASSED [0.0160s] [ 47%] 2023-07-07T20:05:40.3561691Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_argsort PASSED [0.0061s] [ 47%] 2023-07-07T20:05:40.3562066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0087s] [ 47%] 2023-07-07T20:05:40.3562467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0035s] [ 47%] 2023-07-07T20:05:40.3562864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0160s] [ 47%] 2023-07-07T20:05:40.3563724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ PASSED [0.0097s] [ 47%] 2023-07-07T20:05:40.3564659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0038s] [ 47%] 2023-07-07T20:05:40.3565318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.3565435Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0038s] [ 47%] 2023-07-07T20:05:40.3565992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.3566167Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.3566254Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.3566264Z 2023-07-07T20:05:40.3566386Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.3566526Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.3566715Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0038s] [ 47%] 2023-07-07T20:05:40.3567257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0047s] [ 47%] 2023-07-07T20:05:40.3567835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.3567974Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.3568058Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.3568064Z 2023-07-07T20:05:40.3568196Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.3568400Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.3568587Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0036s] [ 47%] 2023-07-07T20:05:40.3569131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.3569287Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.3569435Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.3569586Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.3569594Z 2023-07-07T20:05:40.3569683Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.3569829Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.3569976Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.3570129Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.3570136Z 2023-07-07T20:05:40.3570285Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.3570417Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.3570562Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.3570714Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.3570720Z 2023-07-07T20:05:40.3570727Z 2023-07-07T20:05:40.3570872Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.3571016Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.3571164Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.3571315Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.3571320Z 2023-07-07T20:05:40.3571462Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.3571595Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.3571767Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.3571916Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.3571921Z 2023-07-07T20:05:40.3572007Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.3572150Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.3572295Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.3572486Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0037s] [ 47%] 2023-07-07T20:05:40.3573032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0049s] [ 47%] 2023-07-07T20:05:40.3573620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0042s] [ 47%] 2023-07-07T20:05:40.3574207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.3574343Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.3574487Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.3574638Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.3574643Z 2023-07-07T20:05:40.3574729Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.3574874Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.3575051Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.3575202Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.3575208Z 2023-07-07T20:05:40.3575355Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.3575486Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.3575629Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.3575783Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.3575789Z 2023-07-07T20:05:40.3575793Z 2023-07-07T20:05:40.3575935Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.3576076Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.3576222Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.3576370Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.3576376Z 2023-07-07T20:05:40.3576518Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.3576664Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.3576797Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.3576946Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.3576951Z 2023-07-07T20:05:40.3577034Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.3577178Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.3577322Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.3577513Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0036s] [ 47%] 2023-07-07T20:05:40.3577772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_auto_grad PASSED [0.0080s] [ 47%] 2023-07-07T20:05:40.3578030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0100s] [ 47%] 2023-07-07T20:05:40.3578353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0175s] [ 47%] 2023-07-07T20:05:40.3578660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0118s] [ 47%] 2023-07-07T20:05:40.3578959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0138s] [ 47%] 2023-07-07T20:05:40.3579251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0100s] [ 47%] 2023-07-07T20:05:40.3579498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_baddbmm PASSED [0.0091s] [ 47%] 2023-07-07T20:05:40.3579755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d PASSED [0.0129s] [ 47%] 2023-07-07T20:05:40.3580048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0138s] [ 47%] 2023-07-07T20:05:40.3580300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d PASSED [0.0144s] [ 47%] 2023-07-07T20:05:40.3580561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0152s] [ 47%] 2023-07-07T20:05:40.3580819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training PASSED [0.0576s] [ 47%] 2023-07-07T20:05:40.3581121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer PASSED [0.1404s] [ 47%] 2023-07-07T20:05:40.3581379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8 PASSED [0.0110s] [ 47%] 2023-07-07T20:05:40.3581684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3581927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cdist PASSED [0.0089s] [ 47%] 2023-07-07T20:05:40.3582160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha PASSED [0.0046s] [ 47%] 2023-07-07T20:05:40.3582407Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_celu_cast PASSED [0.0054s] [ 47%] 2023-07-07T20:05:40.3582664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image PASSED [0.0322s] [ 47%] 2023-07-07T20:05:40.3582910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_clip_int PASSED [0.0064s] [ 47%] 2023-07-07T20:05:40.3583160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_constant_pad PASSED [0.0245s] [ 47%] 2023-07-07T20:05:40.3583396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv PASSED [0.6761s] [ 47%] 2023-07-07T20:05:40.3583681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference PASSED [0.0500s] [ 47%] 2023-07-07T20:05:40.3583937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv_str_padding PASSED [0.6705s] [ 47%] 2023-07-07T20:05:40.3584182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_conv_tbc PASSED [0.0086s] [ 47%] 2023-07-07T20:05:40.3584439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script PASSED [0.0427s] [ 47%] 2023-07-07T20:05:40.3584725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cosine_similarity PASSED [0.0105s] [ 47%] 2023-07-07T20:05:40.3584970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cross PASSED [0.0507s] [ 47%] 2023-07-07T20:05:40.3585198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cumsum PASSED [0.0263s] [ 47%] 2023-07-07T20:05:40.3585474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_cumsum_with_cast PASSED [0.0136s] [ 47%] 2023-07-07T20:05:40.3585714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_data PASSED [0.0044s] [ 47%] 2023-07-07T20:05:40.3585966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dequantize PASSED [0.0098s] [ 47%] 2023-07-07T20:05:40.3586232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting PASSED [0.0513s] [ 47%] 2023-07-07T20:05:40.3586503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_det PASSED [0.0046s] [ 47%] 2023-07-07T20:05:40.3586750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_device_eq PASSED [0.0054s] [ 47%] 2023-07-07T20:05:40.3587036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_diagonal SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3587278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dict PASSED [0.0049s] [ 47%] 2023-07-07T20:05:40.3587522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dict_str PASSED [0.0052s] [ 47%] 2023-07-07T20:05:40.3587767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dim PASSED [0.0043s] [ 47%] 2023-07-07T20:05:40.3588029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness PASSED [0.0244s] [ 47%] 2023-07-07T20:05:40.3588289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script PASSED [0.0133s] [ 47%] 2023-07-07T20:05:40.3588535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace PASSED [0.0089s] [ 47%] 2023-07-07T20:05:40.3588772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dot PASSED [0.0080s] [ 47%] 2023-07-07T20:05:40.3589044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dropout PASSED [0.0049s] [ 47%] 2023-07-07T20:05:40.3589292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dtype_eq PASSED [0.0031s] [ 47%] 2023-07-07T20:05:40.3589547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out PASSED [0.0075s] [ 47%] 2023-07-07T20:05:40.3589796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk PASSED [0.0989s] [ 47%] 2023-07-07T20:05:40.3590078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_expand_as PASSED [0.0793s] [ 47%] 2023-07-07T20:05:40.3590387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_dynamic_repeat_interleave SKIPPED [0.0010s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3590635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding PASSED [0.0196s] [ 47%] 2023-07-07T20:05:40.3590912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag PASSED [0.0535s] [ 47%] 2023-07-07T20:05:40.3591330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 47%] 2023-07-07T20:05:40.3591590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_embedding_renorm PASSED [0.0129s] [ 47%] 2023-07-07T20:05:40.3591870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_empty_branch PASSED [0.0036s] [ 47%] 2023-07-07T20:05:40.3592115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_empty_constant_shape PASSED [0.0264s] [ 47%] 2023-07-07T20:05:40.3592352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_eye PASSED [0.0247s] [ 47%] 2023-07-07T20:05:40.3592615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor PASSED [0.0074s] [ 47%] 2023-07-07T20:05:40.3592946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 47%] 2023-07-07T20:05:40.3593202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_floating_point PASSED [0.0069s] [ 47%] 2023-07-07T20:05:40.3593472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_floating_point_infer_dtype PASSED [0.0070s] [ 47%] 2023-07-07T20:05:40.3593714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fmod PASSED [0.0046s] [ 47%] 2023-07-07T20:05:40.3593968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_full_like_value PASSED [0.0080s] [ 47%] 2023-07-07T20:05:40.3594216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_full_script PASSED [0.0031s] [ 47%] 2023-07-07T20:05:40.3594495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn1d PASSED [0.0120s] [ 47%] 2023-07-07T20:05:40.3594843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d PASSED [0.0120s] [ 47%] 2023-07-07T20:05:40.3595101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block PASSED [0.0096s] [ 47%] 2023-07-07T20:05:40.3595401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold PASSED [0.0336s] [ 47%] 2023-07-07T20:05:40.3595741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar PASSED [0.0098s] [ 47%] 2023-07-07T20:05:40.3596112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gelu PASSED [0.0077s] [ 47%] 2023-07-07T20:05:40.3596484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_getitem PASSED [0.0045s] [ 47%] 2023-07-07T20:05:40.3597019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 47%] 2023-07-07T20:05:40.3597523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 47%] 2023-07-07T20:05:40.3598058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0007s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3598560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3599073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0009s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3599571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3600078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3600593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3601086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0007s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3601588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 12 < 16) [ 48%] 2023-07-07T20:05:40.3602016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gru_constant_folding PASSED [0.1109s] [ 48%] 2023-07-07T20:05:40.3602392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias PASSED [0.0739s] [ 48%] 2023-07-07T20:05:40.3602757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_gt PASSED [0.0157s] [ 48%] 2023-07-07T20:05:40.3603133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype PASSED [0.0077s] [ 48%] 2023-07-07T20:05:40.3603540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_hardswish PASSED [0.0116s] [ 48%] 2023-07-07T20:05:40.3603951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values PASSED [0.0034s] [ 48%] 2023-07-07T20:05:40.3604308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints PASSED [0.1685s] [ 48%] 2023-07-07T20:05:40.3604733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_if_fold PASSED [0.0513s] [ 48%] 2023-07-07T20:05:40.3604994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_if_transpose PASSED [0.0053s] [ 48%] 2023-07-07T20:05:40.3605283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_if_view SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 48%] 2023-07-07T20:05:40.3605586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED 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2023-07-07T20:05:40.3607098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2 PASSED [0.2520s] [ 48%] 2023-07-07T20:05:40.3607351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3 PASSED [0.0711s] [ 48%] 2023-07-07T20:05:40.3607610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular PASSED [0.0230s] [ 48%] 2023-07-07T20:05:40.3607875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill PASSED [0.0107s] [ 48%] 2023-07-07T20:05:40.3608185Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index PASSED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats PASSED [0.0296s] [ 48%] 2023-07-07T20:05:40.3609792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats PASSED [0.2676s] [ 48%] 2023-07-07T20:05:40.3610084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training PASSED [0.5896s] [ 48%] 2023-07-07T20:05:40.3610362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer PASSED [0.3809s] [ 48%] 2023-07-07T20:05:40.3610625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution PASSED [0.0350s] [ 48%] 2023-07-07T20:05:40.3610925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel PASSED [0.2587s] [ 48%] 2023-07-07T20:05:40.3611188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape PASSED [0.0082s] [ 48%] 2023-07-07T20:05:40.3611449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample PASSED [0.7237s] [ 48%] 2023-07-07T20:05:40.3611695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_isfinite PASSED [0.0137s] [ 48%] 2023-07-07T20:05:40.3611938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_isinf PASSED [0.0261s] [ 48%] 2023-07-07T20:05:40.3612186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_l1_norm PASSED [0.0222s] [ 48%] 2023-07-07T20:05:40.3612426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_l2_norm PASSED [0.0186s] [ 48%] 2023-07-07T20:05:40.3612673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0421s] [ 48%] 2023-07-07T20:05:40.3612913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lerp PASSED [0.1140s] [ 48%] 2023-07-07T20:05:40.3613160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0452s] [ 48%] 2023-07-07T20:05:40.3613412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm PASSED [0.3664s] [ 48%] 2023-07-07T20:05:40.3613701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_block PASSED [0.0078s] [ 48%] 2023-07-07T20:05:40.3613995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block SKIPPED [0.0012s] (Unsupported opset_version: 12 < 13) [ 48%] 2023-07-07T20:05:40.3614292Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested SKIPPED [0.0013s] (Unsupported opset_version: 12 < 13) [ 48%] 2023-07-07T20:05:40.3614612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2 SKIPPED [0.0012s] (Unsupported opset_version: 12 < 14) [ 48%] 2023-07-07T20:05:40.3614898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum SKIPPED [0.0011s] (Unsupported opset_version: 12 < 13) [ 48%] 2023-07-07T20:05:40.3615142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_pass PASSED [0.3394s] [ 48%] 2023-07-07T20:05:40.3615480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_pop_nested SKIPPED [0.0009s] (Unsupported opset_version: 12 < 13) [ 48%] 2023-07-07T20:05:40.3615728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_set PASSED [0.0055s] [ 48%] 2023-07-07T20:05:40.3615977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_unpack PASSED [0.0056s] [ 48%] 2023-07-07T20:05:40.3616280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted PASSED [0.0086s] [ 48%] 2023-07-07T20:05:40.3616543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted PASSED [0.0088s] [ 48%] 2023-07-07T20:05:40.3616787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_log1p PASSED [0.0349s] [ 48%] 2023-07-07T20:05:40.3617033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_logical_and PASSED [0.0623s] [ 48%] 2023-07-07T20:05:40.3617276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_logit PASSED [0.0647s] [ 48%] 2023-07-07T20:05:40.3617518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax PASSED [0.0467s] [ 48%] 2023-07-07T20:05:40.3617769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_loop_dynamic PASSED [0.0086s] [ 48%] 2023-07-07T20:05:40.3618021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_loop_multi_dim PASSED [0.0048s] [ 48%] 2023-07-07T20:05:40.3618276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_loop_transpose PASSED [0.0083s] [ 48%] 2023-07-07T20:05:40.3618527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple PASSED [0.0159s] [ 48%] 2023-07-07T20:05:40.3618775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0056s] [ 48%] 2023-07-07T20:05:40.3619069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state PASSED [0.0368s] [ 48%] 2023-07-07T20:05:40.3619333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_fixed_batch_size PASSED [0.1814s] [ 48%] 2023-07-07T20:05:40.3619584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias PASSED [0.4594s] [ 48%] 2023-07-07T20:05:40.3619873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state PASSED [0.0429s] [ 48%] 2023-07-07T20:05:40.3620121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence PASSED [0.0799s] [ 48%] 2023-07-07T20:05:40.3620371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0130s] [ 48%] 2023-07-07T20:05:40.3620625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_masked_fill_inplace PASSED [0.0082s] [ 48%] 2023-07-07T20:05:40.3620890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter PASSED [0.0214s] [ 48%] 2023-07-07T20:05:40.3621136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_matmul PASSED [0.0172s] [ 48%] 2023-07-07T20:05:40.3621381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_max_int PASSED [0.0082s] [ 48%] 2023-07-07T20:05:40.3621658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0061s] [ 48%] 2023-07-07T20:05:40.3621909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maximum_dtypes PASSED [0.0277s] [ 48%] 2023-07-07T20:05:40.3622163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maximum_minimum PASSED [0.0130s] [ 48%] 2023-07-07T20:05:40.3622451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil PASSED [0.0626s] [ 48%] 2023-07-07T20:05:40.3622717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0732s] [ 48%] 2023-07-07T20:05:40.3622975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0430s] [ 48%] 2023-07-07T20:05:40.3623234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0537s] [ 48%] 2023-07-07T20:05:40.3623480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0260s] [ 48%] 2023-07-07T20:05:40.3623721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mish PASSED [0.0075s] [ 48%] 2023-07-07T20:05:40.3624016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none SKIPPED [0.0013s] (Unsupported opset_version: 12 < 15) [ 48%] 2023-07-07T20:05:40.3624357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 48%] 2023-07-07T20:05:40.3624622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision PASSED [0.0362s] [ 48%] 2023-07-07T20:05:40.3624866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0122s] [ 48%] 2023-07-07T20:05:40.3625127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_multi_scale_roi_align PASSED [0.1168s] [ 48%] 2023-07-07T20:05:40.3625404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_multinomial PASSED [0.0104s] [ 48%] 2023-07-07T20:05:40.3625661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn PASSED [0.1143s] [ 48%] 2023-07-07T20:05:40.3625898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_mv PASSED [0.0144s] [ 48%] 2023-07-07T20:05:40.3626170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num PASSED [0.0652s] [ 48%] 2023-07-07T20:05:40.3626422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0124s] [ 48%] 2023-07-07T20:05:40.3626683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output PASSED [0.0069s] [ 48%] 2023-07-07T20:05:40.3626930Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_new_empty PASSED [0.0337s] [ 48%] 2023-07-07T20:05:40.3627204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_new_full PASSED [0.0470s] [ 48%] 2023-07-07T20:05:40.3627435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_new_ones PASSED [0.0292s] [ 48%] 2023-07-07T20:05:40.3627687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean PASSED [0.0172s] [ 48%] 2023-07-07T20:05:40.3627954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index PASSED [0.0199s] [ 48%] 2023-07-07T20:05:40.3628230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights PASSED [0.0207s] [ 48%] 2023-07-07T20:05:40.3628496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights PASSED [0.0211s] [ 48%] 2023-07-07T20:05:40.3628749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum PASSED [0.0201s] [ 48%] 2023-07-07T20:05:40.3629016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index PASSED [0.0167s] [ 48%] 2023-07-07T20:05:40.3629273Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0083s] [ 48%] 2023-07-07T20:05:40.3629519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_normalize PASSED [0.0152s] [ 48%] 2023-07-07T20:05:40.3629789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_numel PASSED [0.0079s] [ 48%] 2023-07-07T20:05:40.3630037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0078s] [ 48%] 2023-07-07T20:05:40.3630284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_ones_bool PASSED [0.0160s] [ 48%] 2023-07-07T20:05:40.3630593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1 SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 48%] 2023-07-07T20:05:40.3630917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 48%] 2023-07-07T20:05:40.3631170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_circular PASSED [0.0166s] [ 48%] 2023-07-07T20:05:40.3631456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes PASSED [0.0166s] [ 48%] 2023-07-07T20:05:40.3631718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_negative PASSED [0.0095s] [ 48%] 2023-07-07T20:05:40.3631965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0160s] [ 48%] 2023-07-07T20:05:40.3632229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list PASSED [0.0207s] [ 48%] 2023-07-07T20:05:40.3632496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_pow PASSED [0.0592s] [ 48%] 2023-07-07T20:05:40.3632744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0045s] [ 48%] 2023-07-07T20:05:40.3632987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0218s] [ 48%] 2023-07-07T20:05:40.3633493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3633896Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3634012Z PASSED [0.0262s] [ 48%] 2023-07-07T20:05:40.3634448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d SKIPPED [0.0014s] (Unsupported opset_version: 12 < 13) [ 48%] 2023-07-07T20:05:40.3635270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3635842Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3635950Z PASSED [0.0262s] [ 48%] 2023-07-07T20:05:40.3636387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_relu SKIPPED [0.0013s] (Unsupported opset_version: 12 < 13) [ 48%] 2023-07-07T20:05:40.3637161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3637727Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3637846Z PASSED [0.0259s] [ 48%] 2023-07-07T20:05:40.3638247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0275s] [ 48%] 2023-07-07T20:05:40.3638699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional PASSED [0.0277s] [ 48%] 2023-07-07T20:05:40.3639119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale PASSED [0.0202s] [ 48%] 2023-07-07T20:05:40.3639523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_shape PASSED [0.0202s] [ 48%] 2023-07-07T20:05:40.3639980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point PASSED [0.0200s] [ 48%] 2023-07-07T20:05:40.3640416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale PASSED [0.0203s] [ 48%] 2023-07-07T20:05:40.3640809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0535s] [ 48%] 2023-07-07T20:05:40.3641195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d PASSED [0.0563s] [ 48%] 2023-07-07T20:05:40.3641590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0569s] [ 48%] 2023-07-07T20:05:40.3641980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d PASSED [0.1336s] [ 48%] 2023-07-07T20:05:40.3642366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_flatten PASSED [0.0210s] [ 48%] 2023-07-07T20:05:40.3642700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear PASSED [0.0416s] [ 48%] 2023-07-07T20:05:40.3642975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided PASSED [0.0197s] [ 48%] 2023-07-07T20:05:40.3643274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand PASSED [0.0213s] [ 48%] 2023-07-07T20:05:40.3643546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm PASSED [0.0313s] [ 48%] 2023-07-07T20:05:40.3643821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid PASSED [0.0197s] [ 48%] 2023-07-07T20:05:40.3644088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh PASSED [0.0216s] [ 48%] 2023-07-07T20:05:40.3644481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm PASSED [0.0407s] [ 48%] 2023-07-07T20:05:40.3644785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu PASSED [0.0193s] [ 48%] 2023-07-07T20:05:40.3645068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish PASSED [0.0223s] [ 48%] 2023-07-07T20:05:40.3645386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh PASSED [0.0191s] [ 48%] 2023-07-07T20:05:40.3645652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view PASSED [0.0183s] [ 48%] 2023-07-07T20:05:40.3645896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rand PASSED [0.0118s] [ 48%] 2023-07-07T20:05:40.3646175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rand_like_dtype PASSED [0.0131s] [ 48%] 2023-07-07T20:05:40.3646430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0154s] [ 48%] 2023-07-07T20:05:40.3646680Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0158s] [ 48%] 2023-07-07T20:05:40.3646937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype PASSED [0.0134s] [ 48%] 2023-07-07T20:05:40.3647190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0137s] [ 48%] 2023-07-07T20:05:40.3647442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0370s] [ 48%] 2023-07-07T20:05:40.3647691Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod PASSED [0.0530s] [ 48%] 2023-07-07T20:05:40.3647934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_relu6 PASSED [0.0087s] [ 48%] 2023-07-07T20:05:40.3648185Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_remainder PASSED [0.0212s] [ 48%] 2023-07-07T20:05:40.3648441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar PASSED [0.0103s] [ 48%] 2023-07-07T20:05:40.3648684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_repeat PASSED [0.0105s] [ 48%] 2023-07-07T20:05:40.3648977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold PASSED [0.0061s] [ 48%] 2023-07-07T20:05:40.3649596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3649974Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3650311Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3650389Z PASSED [0.0487s] [ 48%] 2023-07-07T20:05:40.3651035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3651377Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3651741Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3652083Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3652160Z PASSED [0.0492s] [ 48%] 2023-07-07T20:05:40.3652524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0393s] [ 48%] 2023-07-07T20:05:40.3652897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0379s] [ 48%] 2023-07-07T20:05:40.3653513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3653859Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3654228Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3654307Z PASSED [0.0446s] [ 48%] 2023-07-07T20:05:40.3654916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3655276Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3655614Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3655977Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3656055Z PASSED [0.0453s] [ 48%] 2023-07-07T20:05:40.3656419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0325s] [ 48%] 2023-07-07T20:05:40.3657060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3657403Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3657739Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3657819Z PASSED [0.0397s] [ 48%] 2023-07-07T20:05:40.3658421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3658765Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3659091Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3659456Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3659535Z PASSED [0.0397s] [ 48%] 2023-07-07T20:05:40.3660141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3660529Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3660870Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3661230Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3661313Z PASSED [0.0396s] [ 48%] 2023-07-07T20:05:40.3661923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3662288Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3662627Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3662966Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3663047Z PASSED [0.0366s] [ 48%] 2023-07-07T20:05:40.3663660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3663998Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3664335Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3664707Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3664786Z PASSED [0.0356s] [ 48%] 2023-07-07T20:05:40.3665148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0236s] [ 48%] 2023-07-07T20:05:40.3665790Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3666131Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3666489Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3666571Z PASSED [0.0324s] [ 48%] 2023-07-07T20:05:40.3667168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3667533Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3667868Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3668205Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3668284Z PASSED [0.0331s] [ 48%] 2023-07-07T20:05:40.3668651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0217s] [ 48%] 2023-07-07T20:05:40.3669264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3669632Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3669971Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3670049Z PASSED [0.0285s] [ 48%] 2023-07-07T20:05:40.3670658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3671021Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3671354Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3671716Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3671797Z PASSED [0.0287s] [ 48%] 2023-07-07T20:05:40.3672395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3672762Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3673096Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3673441Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3673522Z PASSED [0.0293s] [ 48%] 2023-07-07T20:05:40.3673873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0185s] [ 48%] 2023-07-07T20:05:40.3674483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3675008Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3675527Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3675630Z PASSED [0.0247s] [ 48%] 2023-07-07T20:05:40.3676543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3677108Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3677652Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3678159Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3678280Z PASSED [0.0251s] [ 48%] 2023-07-07T20:05:40.3678826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0134s] [ 48%] 2023-07-07T20:05:40.3679789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3680306Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3680818Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3680936Z PASSED [0.0490s] [ 49%] 2023-07-07T20:05:40.3681486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0383s] [ 49%] 2023-07-07T20:05:40.3682418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3682967Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3683481Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3683984Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3684135Z PASSED [0.0572s] [ 49%] 2023-07-07T20:05:40.3685165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3685746Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3686132Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3686474Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3686596Z PASSED [0.0557s] [ 49%] 2023-07-07T20:05:40.3687206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3687548Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3687886Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3687954Z PASSED [0.0401s] [ 49%] 2023-07-07T20:05:40.3688567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3688909Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3689276Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3689354Z PASSED [0.0397s] [ 49%] 2023-07-07T20:05:40.3689953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3690325Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3690666Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3691027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3691107Z PASSED [0.0399s] [ 49%] 2023-07-07T20:05:40.3691463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0289s] [ 49%] 2023-07-07T20:05:40.3692067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3692433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3692774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3692853Z PASSED [0.0360s] [ 49%] 2023-07-07T20:05:40.3693461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3693796Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3694129Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3694207Z PASSED [0.0352s] [ 49%] 2023-07-07T20:05:40.3694835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3695175Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3695541Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3695881Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3695946Z PASSED [0.0357s] [ 49%] 2023-07-07T20:05:40.3696594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3696969Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3697304Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3697382Z PASSED [0.0327s] [ 49%] 2023-07-07T20:05:40.3697746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0219s] [ 49%] 2023-07-07T20:05:40.3698112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0218s] [ 49%] 2023-07-07T20:05:40.3698734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3699074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3699414Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3699519Z PASSED [0.0275s] [ 49%] 2023-07-07T20:05:40.3700131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3700501Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3700838Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3701176Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3701278Z PASSED [0.0282s] [ 49%] 2023-07-07T20:05:40.3701891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3702256Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3702591Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3702926Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3703005Z PASSED [0.0281s] [ 49%] 2023-07-07T20:05:40.3703606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3703946Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3704283Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3704363Z PASSED [0.0297s] [ 49%] 2023-07-07T20:05:40.3705007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3705349Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3705711Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3705792Z PASSED [0.0292s] [ 49%] 2023-07-07T20:05:40.3706429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3706764Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3707101Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3707208Z PASSED [0.0245s] [ 49%] 2023-07-07T20:05:40.3707818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3708161Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3708502Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3708841Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3708920Z PASSED [0.0248s] [ 49%] 2023-07-07T20:05:40.3709525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3709891Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3710230Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3710569Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3710673Z PASSED [0.0247s] [ 49%] 2023-07-07T20:05:40.3711032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0137s] [ 49%] 2023-07-07T20:05:40.3711393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0136s] [ 49%] 2023-07-07T20:05:40.3712024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3712363Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3712727Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3713062Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3713126Z PASSED [0.1093s] [ 49%] 2023-07-07T20:05:40.3713490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0972s] [ 49%] 2023-07-07T20:05:40.3714106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3714443Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3714854Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3714935Z PASSED [0.1049s] [ 49%] 2023-07-07T20:05:40.3715589Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3715934Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3716305Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3716388Z PASSED [0.1164s] [ 49%] 2023-07-07T20:05:40.3717023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3717361Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3717701Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3718069Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3718146Z PASSED [0.1053s] [ 49%] 2023-07-07T20:05:40.3718761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3719106Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3719439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3719774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3719856Z PASSED [0.1052s] [ 49%] 2023-07-07T20:05:40.3720221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0919s] [ 49%] 2023-07-07T20:05:40.3720849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3721192Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3721575Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3721644Z PASSED [0.0681s] [ 49%] 2023-07-07T20:05:40.3722270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3722612Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3722949Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3723054Z PASSED [0.0680s] [ 49%] 2023-07-07T20:05:40.3723656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3723996Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3724339Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3724807Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3724889Z PASSED [0.0685s] [ 49%] 2023-07-07T20:05:40.3725498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3725901Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3726242Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3726322Z PASSED [0.0637s] [ 49%] 2023-07-07T20:05:40.3726964Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3727306Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3727674Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3727761Z PASSED [0.0640s] [ 49%] 2023-07-07T20:05:40.3728373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3728750Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3729090Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3729426Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3729508Z PASSED [0.0641s] [ 49%] 2023-07-07T20:05:40.3729854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0517s] [ 49%] 2023-07-07T20:05:40.3730473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3730814Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3731167Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3731508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3731585Z PASSED [0.0525s] [ 49%] 2023-07-07T20:05:40.3731971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0405s] [ 49%] 2023-07-07T20:05:40.3732582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3732951Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3733291Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3733402Z PASSED [0.0475s] [ 49%] 2023-07-07T20:05:40.3734012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3734347Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3734680Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3735023Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3735101Z PASSED [0.0470s] [ 49%] 2023-07-07T20:05:40.3735470Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0357s] [ 49%] 2023-07-07T20:05:40.3736097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3736439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3736776Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3736887Z PASSED [0.0391s] [ 49%] 2023-07-07T20:05:40.3737487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3737853Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3738188Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3738525Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3738629Z PASSED [0.0392s] [ 49%] 2023-07-07T20:05:40.3738972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0278s] [ 49%] 2023-07-07T20:05:40.3739570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3739914Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3740250Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3740588Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3740666Z PASSED [0.0341s] [ 49%] 2023-07-07T20:05:40.3741291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3741635Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3741975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3742332Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3742412Z PASSED [0.0335s] [ 49%] 2023-07-07T20:05:40.3743045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3743385Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3743718Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3743852Z PASSED [0.1141s] [ 49%] 2023-07-07T20:05:40.3744455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3744791Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3745126Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3745464Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3745542Z PASSED [0.1168s] [ 49%] 2023-07-07T20:05:40.3745907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1008s] [ 49%] 2023-07-07T20:05:40.3746268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1004s] [ 49%] 2023-07-07T20:05:40.3746916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3747258Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3747620Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3747687Z PASSED [0.1135s] [ 49%] 2023-07-07T20:05:40.3748322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3748657Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3748991Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3749351Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3749428Z PASSED [0.1132s] [ 49%] 2023-07-07T20:05:40.3749790Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0987s] [ 49%] 2023-07-07T20:05:40.3750395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3750740Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3751078Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3751420Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3751500Z PASSED [0.0746s] [ 49%] 2023-07-07T20:05:40.3751884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0729s] [ 49%] 2023-07-07T20:05:40.3752483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3752853Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3753196Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3753272Z PASSED [0.0707s] [ 49%] 2023-07-07T20:05:40.3753902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3754270Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3754604Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3755028Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3755109Z PASSED [0.0704s] [ 49%] 2023-07-07T20:05:40.3755452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0590s] [ 49%] 2023-07-07T20:05:40.3756065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3756420Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3756747Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3756858Z PASSED [0.0532s] [ 49%] 2023-07-07T20:05:40.3757219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0403s] [ 49%] 2023-07-07T20:05:40.3757578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0402s] [ 49%] 2023-07-07T20:05:40.3758223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3758563Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3758934Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3759019Z PASSED [0.0469s] [ 49%] 2023-07-07T20:05:40.3759627Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3760004Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3760497Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3761012Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3761134Z PASSED [0.0479s] [ 49%] 2023-07-07T20:05:40.3762048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3762560Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3763107Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3763229Z PASSED [0.0394s] [ 49%] 2023-07-07T20:05:40.3764143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3764790Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3765308Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3765867Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3765986Z PASSED [0.0395s] [ 49%] 2023-07-07T20:05:40.3766902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3767462Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3767960Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3768467Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3768584Z PASSED [0.0395s] [ 49%] 2023-07-07T20:05:40.3769123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0277s] [ 49%] 2023-07-07T20:05:40.3769664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0273s] [ 49%] 2023-07-07T20:05:40.3770579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3771139Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3771653Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3772149Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.3772310Z PASSED [0.0338s] [ 49%] 2023-07-07T20:05:40.3772804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0247s] [ 49%] 2023-07-07T20:05:40.3773174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0246s] [ 49%] 2023-07-07T20:05:40.3773513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_roi_align_aligned SKIPPED [0.0009s] (Unsupported opset_version: 12 < 16) [ 49%] 2023-07-07T20:05:40.3773762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_roll PASSED [0.0423s] [ 49%] 2023-07-07T20:05:40.3774012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_round PASSED [0.0044s] [ 49%] 2023-07-07T20:05:40.3774263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rrelu_eval PASSED [0.0054s] [ 49%] 2023-07-07T20:05:40.3774544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_rsqrt PASSED [0.0051s] [ 49%] 2023-07-07T20:05:40.3774782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor PASSED [0.0114s] [ 49%] 2023-07-07T20:05:40.3775032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_add PASSED [0.0156s] [ 49%] 2023-07-07T20:05:40.3775373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0009s] (Unsupported opset_version: 12 < 16) [ 49%] 2023-07-07T20:05:40.3775684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 49%] 2023-07-07T20:05:40.3775974Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 49%] 2023-07-07T20:05:40.3776279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 12 < 16) [ 49%] 2023-07-07T20:05:40.3776556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types PASSED [0.0072s] [ 49%] 2023-07-07T20:05:40.3776815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0066s] [ 49%] 2023-07-07T20:05:40.3777142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 49%] 2023-07-07T20:05:40.3777435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 49%] 2023-07-07T20:05:40.3777725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int SKIPPED [0.0008s] (Unsupported opset_version: 12 < 13) [ 49%] 2023-07-07T20:05:40.3778001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr PASSED [0.0060s] [ 49%] 2023-07-07T20:05:40.3778247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3 PASSED [0.0073s] [ 49%] 2023-07-07T20:05:40.3778490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5 PASSED [0.0074s] [ 49%] 2023-07-07T20:05:40.3778767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop PASSED [0.0074s] [ 49%] 2023-07-07T20:05:40.3779011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0341s] [ 49%] 2023-07-07T20:05:40.3779268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0454s] [ 49%] 2023-07-07T20:05:40.3779524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_shape_constant_fold PASSED [0.0065s] [ 49%] 2023-07-07T20:05:40.3779791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_silu PASSED [0.0046s] [ 49%] 2023-07-07T20:05:40.3780029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_size PASSED [0.0325s] [ 49%] 2023-07-07T20:05:40.3780281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic PASSED [0.0434s] [ 49%] 2023-07-07T20:05:40.3780537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end PASSED [0.0241s] [ 49%] 2023-07-07T20:05:40.3780780Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_neg PASSED [0.0075s] [ 49%] 2023-07-07T20:05:40.3781037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_trace PASSED [0.0070s] [ 49%] 2023-07-07T20:05:40.3781301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index PASSED [0.0586s] [ 49%] 2023-07-07T20:05:40.3781561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0462s] [ 49%] 2023-07-07T20:05:40.3781807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_softmax PASSED [0.0828s] [ 49%] 2023-07-07T20:05:40.3782041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_softplus PASSED [0.0178s] [ 49%] 2023-07-07T20:05:40.3782320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_softshrink PASSED [0.0329s] [ 49%] 2023-07-07T20:05:40.3782563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sort PASSED [0.0193s] [ 49%] 2023-07-07T20:05:40.3782817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sort_ascending PASSED [0.0193s] [ 49%] 2023-07-07T20:05:40.3783065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm PASSED [0.0147s] [ 49%] 2023-07-07T20:05:40.3783332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split PASSED [0.0194s] [ 49%] 2023-07-07T20:05:40.3783584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0055s] [ 49%] 2023-07-07T20:05:40.3783838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic_axes PASSED [0.0059s] [ 49%] 2023-07-07T20:05:40.3784111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_script PASSED [0.0184s] [ 49%] 2023-07-07T20:05:40.3784366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list PASSED [0.0091s] [ 49%] 2023-07-07T20:05:40.3784624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice PASSED [0.0208s] [ 49%] 2023-07-07T20:05:40.3784875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0010s] [ 49%] 2023-07-07T20:05:40.3785132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_square PASSED [0.0037s] [ 49%] 2023-07-07T20:05:40.3785389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0080s] [ 49%] 2023-07-07T20:05:40.3785638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim PASSED [0.0162s] [ 49%] 2023-07-07T20:05:40.3785898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction PASSED [0.0104s] [ 49%] 2023-07-07T20:05:40.3786188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3786500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3786793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3787102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3787402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3787729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3788034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3788327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0008s] (Unsupported opset_version: 12 < 17) [ 49%] 2023-07-07T20:05:40.3788598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_sum PASSED [0.0048s] [ 49%] 2023-07-07T20:05:40.3788868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference PASSED [0.0421s] [ 49%] 2023-07-07T20:05:40.3789138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box PASSED [0.0376s] [ 49%] 2023-07-07T20:05:40.3789444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.0356s] [ 49%] 2023-07-07T20:05:40.3789717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0436s] [ 49%] 2023-07-07T20:05:40.3789990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2 PASSED [0.0107s] [ 49%] 2023-07-07T20:05:40.3790268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0092s] [ 49%] 2023-07-07T20:05:40.3790518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0054s] [ 49%] 2023-07-07T20:05:40.3790776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories PASSED [0.0255s] [ 49%] 2023-07-07T20:05:40.3791057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0144s] [ 49%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_to_device PASSED [0.0114s] [ 49%] 2023-07-07T20:05:40.3792675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_tolist PASSED [0.0033s] [ 49%] 2023-07-07T20:05:40.3792948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0048s] [ 49%] 2023-07-07T20:05:40.3793187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_trace_script PASSED [0.0189s] [ 49%] 2023-07-07T20:05:40.3793442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_12_is_script_False_keep_initializers_as_inputs_False::test_transform_images PASSED [0.1551s] [ 49%] 2023-07-07T20:05:40.3793701Z 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[ 50%] 2023-07-07T20:05:40.3806510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 50%] 2023-07-07T20:05:40.3807135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 50%] 2023-07-07T20:05:40.3807874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.3808095Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 50%] 2023-07-07T20:05:40.3808960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.3809190Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.3809400Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.3809627Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.3809640Z 2023-07-07T20:05:40.3809771Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.3809989Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.3810211Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.3810437Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.3810445Z 2023-07-07T20:05:40.3810665Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.3810883Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.3811089Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.3811315Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.3811327Z 2023-07-07T20:05:40.3811335Z 2023-07-07T20:05:40.3811548Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.3811803Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.3812026Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.3812245Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.3812253Z 2023-07-07T20:05:40.3812471Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.3812689Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.3812904Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.3813148Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.3813156Z 2023-07-07T20:05:40.3813281Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.3813498Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.3813714Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.3814105Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 50%] 2023-07-07T20:05:40.3815030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 50%] 2023-07-07T20:05:40.3815888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.3816109Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.3816237Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.3816245Z 2023-07-07T20:05:40.3816447Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.3816568Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.3816816Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 50%] 2023-07-07T20:05:40.3837202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 13 < 16) [ 50%] 2023-07-07T20:05:40.3837556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 50%] 2023-07-07T20:05:40.3837887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 50%] 2023-07-07T20:05:40.3838228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 50%] 2023-07-07T20:05:40.3838475Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.1114s] [ 50%] 2023-07-07T20:05:40.3838719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_gru_no_bias PASSED [0.1619s] [ 50%] 2023-07-07T20:05:40.3838968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_gt_primitive PASSED [0.0080s] [ 50%] 2023-07-07T20:05:40.3839231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hann_window_not_periodic PASSED [0.0189s] [ 50%] 2023-07-07T20:05:40.3839490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hardshrink_dtype PASSED [0.0107s] [ 50%] 2023-07-07T20:05:40.3839737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0195s] [ 50%] 2023-07-07T20:05:40.3839989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0080s] [ 50%] 2023-07-07T20:05:40.3840248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.1680s] [ 50%] 2023-07-07T20:05:40.3840493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_im2col PASSED [0.0725s] [ 50%] 2023-07-07T20:05:40.3840733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_1d PASSED [0.0108s] [ 50%] 2023-07-07T20:05:40.3841020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_2d_neg_slice PASSED [0.0151s] [ 50%] 2023-07-07T20:05:40.3841275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0132s] [ 50%] 2023-07-07T20:05:40.3841507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_add_if PASSED [0.0164s] [ 50%] 2023-07-07T20:05:40.3841782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_add_in_loop PASSED [0.0292s] [ 50%] 2023-07-07T20:05:40.3842034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal PASSED [0.0363s] [ 50%] 2023-07-07T20:05:40.3842282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_fill PASSED [0.0181s] [ 50%] 2023-07-07T20:05:40.3842529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_mask PASSED [0.0218s] [ 50%] 2023-07-07T20:05:40.3842801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd PASSED [0.0123s] [ 50%] 2023-07-07T20:05:40.3843058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_accumulate PASSED [0.0152s] [ 50%] 2023-07-07T20:05:40.3843307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if PASSED [0.1610s] [ 50%] 2023-07-07T20:05:40.3843579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_2 PASSED [0.3306s] [ 50%] 2023-07-07T20:05:40.3843819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_3 PASSED [0.0823s] [ 50%] 2023-07-07T20:05:40.3844057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4 PASSED [0.1015s] [ 50%] 2023-07-07T20:05:40.3844293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_5 PASSED [0.1024s] [ 50%] 2023-07-07T20:05:40.3844713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_inplace_ops PASSED [0.1262s] [ 50%] 2023-07-07T20:05:40.3844972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop PASSED [1.7112s] [ 50%] 2023-07-07T20:05:40.3845223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular PASSED [0.0362s] [ 50%] 2023-07-07T20:05:40.3845488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_fill PASSED [0.0186s] [ 50%] 2023-07-07T20:05:40.3845754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter PASSED [0.0194s] [ 50%] 2023-07-07T20:05:40.3846019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0204s] [ 50%] 2023-07-07T20:05:40.3852218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop PASSED [0.0541s] [ 50%] 2023-07-07T20:05:40.3852533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_with_loop PASSED [0.0248s] [ 50%] 2023-07-07T20:05:40.3852795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill PASSED [0.0201s] [ 50%] 2023-07-07T20:05:40.3853109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop SKIPPED [0.0009s] (Unsupported opset_version: 13 < 14) [ 50%] 2023-07-07T20:05:40.3853413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_with_loop_2 PASSED [0.2012s] [ 50%] 2023-07-07T20:05:40.3853667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_inplace_zero PASSED [0.0188s] [ 50%] 2023-07-07T20:05:40.3853917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_input_mask_model PASSED [0.1284s] [ 50%] 2023-07-07T20:05:40.3854215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm1d_norunningstats PASSED [0.0461s] [ 50%] 2023-07-07T20:05:40.3854485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats PASSED [0.0775s] [ 50%] 2023-07-07T20:05:40.3854747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.2249s] [ 50%] 2023-07-07T20:05:40.3855060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer PASSED [0.2265s] [ 50%] 2023-07-07T20:05:40.3855378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_adaptive_pooling_error SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 50%] 2023-07-07T20:05:40.3855642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample PASSED [0.3258s] [ 50%] 2023-07-07T20:05:40.3855915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution PASSED [0.0238s] [ 50%] 2023-07-07T20:05:40.3856178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample PASSED [0.3265s] [ 50%] 2023-07-07T20:05:40.3856492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 13 > 8) [ 50%] 2023-07-07T20:05:40.3856734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_isinf PASSED [0.0092s] [ 50%] 2023-07-07T20:05:40.3856978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_isnan PASSED [0.0085s] [ 50%] 2023-07-07T20:05:40.3857278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss PASSED [0.2166s] [ 50%] 2023-07-07T20:05:40.3857523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_l2_norm PASSED [0.0189s] [ 50%] 2023-07-07T20:05:40.3857783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_le_scalar PASSED [0.0185s] [ 50%] 2023-07-07T20:05:40.3858022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_len PASSED [0.0108s] [ 50%] 2023-07-07T20:05:40.3858265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_len_list PASSED [0.0090s] [ 50%] 2023-07-07T20:05:40.3858511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0390s] [ 50%] 2023-07-07T20:05:40.3858785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.2299s] [ 50%] 2023-07-07T20:05:40.3859044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero PASSED [0.0110s] [ 50%] 2023-07-07T20:05:40.3859289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_linspace PASSED [0.0145s] [ 50%] 2023-07-07T20:05:40.3859572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list PASSED [0.0243s] [ 50%] 2023-07-07T20:05:40.3859981Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append PASSED [0.0215s] [ 50%] 2023-07-07T20:05:40.3860370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_block PASSED [0.0206s] [ 50%] 2023-07-07T20:05:40.3860774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block PASSED [0.0259s] [ 50%] 2023-07-07T20:05:40.3861202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested PASSED [0.0262s] [ 50%] 2023-07-07T20:05:40.3861646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_2 SKIPPED [0.0010s] (Unsupported opset_version: 13 < 14) [ 50%] 2023-07-07T20:05:40.3862042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype PASSED [0.0321s] [ 50%] 2023-07-07T20:05:40.3862412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_del PASSED [0.0224s] [ 50%] 2023-07-07T20:05:40.3862787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_del_nested PASSED [0.0303s] [ 50%] 2023-07-07T20:05:40.3863163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_idx_sum PASSED [0.0236s] [ 50%] 2023-07-07T20:05:40.3863530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_pass PASSED [0.1002s] [ 50%] 2023-07-07T20:05:40.3863915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_pop_in_block PASSED [0.0336s] [ 50%] 2023-07-07T20:05:40.3864304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted PASSED [0.0225s] [ 50%] 2023-07-07T20:05:40.3864777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0081s] [ 50%] 2023-07-07T20:05:40.3865170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_log PASSED [0.0086s] [ 50%] 2023-07-07T20:05:40.3865535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_log2 PASSED [0.0096s] [ 50%] 2023-07-07T20:05:40.3865914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logical_and PASSED [0.0333s] [ 50%] 2023-07-07T20:05:40.3866285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logical_not PASSED [0.0302s] [ 50%] 2023-07-07T20:05:40.3866665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logit PASSED [0.0425s] [ 50%] 2023-07-07T20:05:40.3867050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_logsoftmax_dim PASSED [0.0451s] [ 50%] 2023-07-07T20:05:40.3867422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0521s] [ 50%] 2023-07-07T20:05:40.3867824Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim PASSED [0.0239s] [ 50%] 2023-07-07T20:05:40.3868194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_loop_nested PASSED [0.0615s] [ 50%] 2023-07-07T20:05:40.3868573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2 PASSED [0.0115s] [ 50%] 2023-07-07T20:05:40.3868939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0312s] [ 50%] 2023-07-07T20:05:40.3869333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lstm PASSED [0.0743s] [ 50%] 2023-07-07T20:05:40.3869719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0472s] [ 50%] 2023-07-07T20:05:40.3870102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_lstm_sequence PASSED [0.2517s] [ 50%] 2023-07-07T20:05:40.3870465Z 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[ 51%] 2023-07-07T20:05:40.3936477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 51%] 2023-07-07T20:05:40.3936839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_roi_align SKIPPED [0.0009s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 51%] 2023-07-07T20:05:40.3937192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_roi_pool SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 51%] 2023-07-07T20:05:40.3937435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_round PASSED [0.0093s] [ 51%] 2023-07-07T20:05:40.3937681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0076s] [ 51%] 2023-07-07T20:05:40.3937926Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0094s] [ 51%] 2023-07-07T20:05:40.3938238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) [ 51%] 2023-07-07T20:05:40.3938491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0153s] [ 51%] 2023-07-07T20:05:40.3938733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scatter PASSED [0.0347s] [ 51%] 2023-07-07T20:05:40.3939020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0009s] (Unsupported opset_version: 13 < 16) [ 51%] 2023-07-07T20:05:40.3939352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 51%] 2023-07-07T20:05:40.3939600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_select PASSED [0.0127s] [ 51%] 2023-07-07T20:05:40.3939860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0134s] [ 51%] 2023-07-07T20:05:40.3940144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sequance_loopcarried PASSED [0.0133s] [ 51%] 2023-07-07T20:05:40.3940396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_float PASSED [0.0175s] [ 51%] 2023-07-07T20:05:40.3940633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_int PASSED [0.0172s] [ 52%] 2023-07-07T20:05:40.3940896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_ PASSED [0.0168s] [ 52%] 2023-07-07T20:05:40.3941139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2 PASSED [0.0181s] [ 52%] 2023-07-07T20:05:40.3941384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0310s] [ 52%] 2023-07-07T20:05:40.3941623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_5 PASSED [0.0759s] [ 52%] 2023-07-07T20:05:40.3941883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list PASSED [0.0453s] [ 52%] 2023-07-07T20:05:40.3942133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0501s] [ 52%] 2023-07-07T20:05:40.3942386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0703s] [ 52%] 2023-07-07T20:05:40.3942621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_size PASSED [0.0329s] [ 52%] 2023-07-07T20:05:40.3942913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 52%] 2023-07-07T20:05:40.3943170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_script PASSED [0.0110s] [ 52%] 2023-07-07T20:05:40.3943435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script PASSED [0.0252s] [ 52%] 2023-07-07T20:05:40.3943761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 52%] 2023-07-07T20:05:40.3944006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0125s] [ 52%] 2023-07-07T20:05:40.3944392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0209s] [ 52%] 2023-07-07T20:05:40.3944811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0204s] [ 52%] 2023-07-07T20:05:40.3945196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_index PASSED [0.0412s] [ 52%] 2023-07-07T20:05:40.3945596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size PASSED [0.0549s] [ 52%] 2023-07-07T20:05:40.3945984Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0514s] [ 52%] 2023-07-07T20:05:40.3946389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_softplus PASSED [0.0305s] [ 52%] 2023-07-07T20:05:40.3946764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0645s] [ 52%] 2023-07-07T20:05:40.3947191Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sort SKIPPED [0.0014s] (Skip verify test for TorchScript.) [ 52%] 2023-07-07T20:05:40.3947664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sort_ascending SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 52%] 2023-07-07T20:05:40.3948042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic PASSED [0.0182s] [ 52%] 2023-07-07T20:05:40.3948430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes PASSED [0.0108s] [ 52%] 2023-07-07T20:05:40.3948809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_script PASSED [0.0351s] [ 52%] 2023-07-07T20:05:40.3949238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 52%] 2023-07-07T20:05:40.3949631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_split_size_with_slice PASSED [0.0321s] [ 52%] 2023-07-07T20:05:40.3949998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0103s] [ 52%] 2023-07-07T20:05:40.3950376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic PASSED [0.0093s] [ 52%] 2023-07-07T20:05:40.3950732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_std PASSED [0.0240s] [ 52%] 2023-07-07T20:05:40.3951110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0262s] [ 52%] 2023-07-07T20:05:40.3951530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0157s] [ 52%] 2023-07-07T20:05:40.3951970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 13 < 17) [ 52%] 2023-07-07T20:05:40.3952436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 52%] 2023-07-07T20:05:40.3952867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 52%] 2023-07-07T20:05:40.3953166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 52%] 2023-07-07T20:05:40.3953471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 52%] 2023-07-07T20:05:40.3953804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 52%] 2023-07-07T20:05:40.3954109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 52%] 2023-07-07T20:05:40.3954337Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sum PASSED [0.0098s] [ 52%] 2023-07-07T20:05:40.3954699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0378s] [ 52%] 2023-07-07T20:05:40.3954966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0551s] [ 52%] 2023-07-07T20:05:40.3955239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange PASSED [0.0562s] [ 52%] 2023-07-07T20:05:40.3955509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0445s] [ 52%] 2023-07-07T20:05:40.3955776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box PASSED [0.0926s] [ 52%] 2023-07-07T20:05:40.3956047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if PASSED [0.0220s] [ 52%] 2023-07-07T20:05:40.3956324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes PASSED [0.0168s] [ 52%] 2023-07-07T20:05:40.3956599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0132s] [ 52%] 2023-07-07T20:05:40.3956869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0765s] [ 52%] 2023-07-07T20:05:40.3957138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0425s] [ 52%] 2023-07-07T20:05:40.3957436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0207s] [ 52%] 2023-07-07T20:05:40.3957689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0097s] [ 52%] 2023-07-07T20:05:40.3957933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor PASSED [0.0730s] [ 52%] 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[ 52%] 2023-07-07T20:05:40.3958827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0183s] [ 52%] 2023-07-07T20:05:40.3959098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_split PASSED [0.0660s] [ 52%] 2023-07-07T20:05:40.3959354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar PASSED [0.0165s] [ 52%] 2023-07-07T20:05:40.3959613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count PASSED [0.0257s] [ 52%] 2023-07-07T20:05:40.3959868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim PASSED [0.0294s] [ 52%] 2023-07-07T20:05:40.3960136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_topk PASSED [0.0184s] [ 52%] 2023-07-07T20:05:40.3960433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 52%] 2023-07-07T20:05:40.3976394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.3976563Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.3976650Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.3976662Z 2023-07-07T20:05:40.3976799Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.3976933Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.3977177Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) 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[ 53%] 2023-07-07T20:05:40.4029377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_nonzero SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4029642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0162s] [ 53%] 2023-07-07T20:05:40.4029888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_normalize PASSED [0.0202s] [ 53%] 2023-07-07T20:05:40.4030131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_numpy_T PASSED [0.0127s] [ 53%] 2023-07-07T20:05:40.4030371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_one_hot PASSED [0.0294s] [ 53%] 2023-07-07T20:05:40.4030681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0 SKIPPED [0.0013s] (Unsupported opset_version: 13 < 16) [ 53%] 2023-07-07T20:05:40.4030992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 53%] 2023-07-07T20:05:40.4031301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 53%] 2023-07-07T20:05:40.4031608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 53%] 2023-07-07T20:05:40.4031919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 53%] 2023-07-07T20:05:40.4032257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 53%] 2023-07-07T20:05:40.4032499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_outer PASSED [0.0447s] [ 53%] 2023-07-07T20:05:40.4032749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pad_circular PASSED [0.0219s] [ 53%] 2023-07-07T20:05:40.4033010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_negative PASSED [0.0120s] [ 53%] 2023-07-07T20:05:40.4033287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0165s] [ 53%] 2023-07-07T20:05:40.4033535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance PASSED [0.0104s] [ 53%] 2023-07-07T20:05:40.4033786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.2323s] [ 53%] 2023-07-07T20:05:40.4034058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0258s] [ 53%] 2023-07-07T20:05:40.4034297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_pow PASSED [0.0897s] [ 53%] 2023-07-07T20:05:40.4034535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_prelu PASSED [0.0138s] [ 53%] 2023-07-07T20:05:40.4034890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0096s] [ 53%] 2023-07-07T20:05:40.4035211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0179s] [ 53%] 2023-07-07T20:05:40.4035461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d PASSED [0.0327s] [ 53%] 2023-07-07T20:05:40.4035716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused PASSED [0.0709s] [ 53%] 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[ 53%] 2023-07-07T20:05:40.4036625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4036887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0404s] [ 53%] 2023-07-07T20:05:40.4037140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d PASSED [0.0462s] [ 53%] 2023-07-07T20:05:40.4037526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 53%] 2023-07-07T20:05:40.4037865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4038174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4038486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4038833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4039146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4039481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4039791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4040109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4040453Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4040766Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4041073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4041372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4041679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4041983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4042224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rand PASSED [0.0268s] [ 53%] 2023-07-07T20:05:40.4042478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rand_like_dtype PASSED [0.0804s] [ 53%] 2023-07-07T20:05:40.4042710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0598s] [ 53%] 2023-07-07T20:05:40.4042993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0125s] [ 53%] 2023-07-07T20:05:40.4043239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0205s] [ 53%] 2023-07-07T20:05:40.4043492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_randn_like_dtype PASSED [0.0427s] [ 53%] 2023-07-07T20:05:40.4043764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0237s] [ 53%] 2023-07-07T20:05:40.4044015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0122s] [ 53%] 2023-07-07T20:05:40.4044270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduced_min_max PASSED [0.0375s] [ 53%] 2023-07-07T20:05:40.4044659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum PASSED [0.0971s] [ 53%] 2023-07-07T20:05:40.4044972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes PASSED [0.0278s] [ 53%] 2023-07-07T20:05:40.4045228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad PASSED [0.0354s] [ 53%] 2023-07-07T20:05:40.4045479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_remainder PASSED [0.0600s] [ 53%] 2023-07-07T20:05:40.4045768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_remainder_scalar PASSED [0.0232s] [ 53%] 2023-07-07T20:05:40.4045996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_repeat PASSED [0.0221s] [ 53%] 2023-07-07T20:05:40.4046252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_replication_pad PASSED [0.0361s] [ 53%] 2023-07-07T20:05:40.4046512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reshape_constant_fold PASSED [0.0125s] [ 53%] 2023-07-07T20:05:40.4046773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_reshape_different_rank PASSED [0.0145s] [ 53%] 2023-07-07T20:05:40.4047025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_resize_images PASSED [0.0965s] [ 53%] 2023-07-07T20:05:40.4047436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4047840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4048245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4048686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4049097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4049545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4049944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4050373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0014s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4050777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4051215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4051605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 53%] 2023-07-07T20:05:40.4052006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) 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Conditioning on input type via prim::isinstance unsupported in ONNX) [ 54%] 2023-07-07T20:05:40.4092351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_roll PASSED [0.0506s] [ 54%] 2023-07-07T20:05:40.4092632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_rpn SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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2023-07-07T20:05:40.4101817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stack_dynamic PASSED [0.0093s] [ 54%] 2023-07-07T20:05:40.4102056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std PASSED [0.0239s] [ 54%] 2023-07-07T20:05:40.4102310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_correction PASSED [0.0156s] [ 54%] 2023-07-07T20:05:40.4102558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_keepdim PASSED [0.0272s] [ 54%] 2023-07-07T20:05:40.4102803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0247s] [ 54%] 2023-07-07T20:05:40.4103056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0280s] [ 54%] 2023-07-07T20:05:40.4103311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_std_mean_correction PASSED [0.0163s] [ 54%] 2023-07-07T20:05:40.4103582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 13 < 17) [ 54%] 2023-07-07T20:05:40.4103888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 54%] 2023-07-07T20:05:40.4104204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 54%] 2023-07-07T20:05:40.4104499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_window_custom SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 54%] 2023-07-07T20:05:40.4104798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 54%] 2023-07-07T20:05:40.4105115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 54%] 2023-07-07T20:05:40.4105417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 54%] 2023-07-07T20:05:40.4105658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_sum PASSED [0.0103s] [ 54%] 2023-07-07T20:05:40.4105940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_sum_empty_tensor PASSED [0.0384s] [ 54%] 2023-07-07T20:05:40.4106205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference PASSED [0.0562s] [ 54%] 2023-07-07T20:05:40.4106478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0581s] [ 54%] 2023-07-07T20:05:40.4106773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box PASSED [0.0932s] [ 54%] 2023-07-07T20:05:40.4107039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if PASSED [0.0217s] [ 54%] 2023-07-07T20:05:40.4107312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1 PASSED [0.0133s] [ 54%] 2023-07-07T20:05:40.4107584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0773s] [ 54%] 2023-07-07T20:05:40.4107838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0419s] [ 54%] 2023-07-07T20:05:40.4108087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0155s] [ 54%] 2023-07-07T20:05:40.4108331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0092s] [ 54%] 2023-07-07T20:05:40.4108587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories PASSED [0.0208s] [ 54%] 2023-07-07T20:05:40.4108846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script PASSED [0.0162s] [ 54%] 2023-07-07T20:05:40.4109130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0250s] [ 54%] 2023-07-07T20:05:40.4109423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script PASSED [0.0183s] [ 54%] 2023-07-07T20:05:40.4109671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensor_split PASSED [0.0664s] [ 54%] 2023-07-07T20:05:40.4109927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count PASSED [0.0262s] [ 54%] 2023-07-07T20:05:40.4110172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_to_device PASSED [0.0197s] [ 54%] 2023-07-07T20:05:40.4110448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_topk PASSED [0.0108s] [ 54%] 2023-07-07T20:05:40.4110702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_trace_script PASSED [0.0171s] [ 54%] 2023-07-07T20:05:40.4110961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_transpose_infer_shape PASSED [0.0240s] [ 54%] 2023-07-07T20:05:40.4111248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tril SKIPPED [0.0013s] (Unsupported opset_version: 13 < 14) [ 54%] 2023-07-07T20:05:40.4111547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 54%] 2023-07-07T20:05:40.4111796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0149s] [ 54%] 2023-07-07T20:05:40.4112085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input PASSED [0.0147s] [ 54%] 2023-07-07T20:05:40.4112327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_type_as PASSED [0.0337s] [ 54%] 2023-07-07T20:05:40.4112572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unbind PASSED [0.0474s] [ 54%] 2023-07-07T20:05:40.4112823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unbind_dynamic PASSED [0.0227s] [ 54%] 2023-07-07T20:05:40.4113065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unfold PASSED [0.0173s] [ 54%] 2023-07-07T20:05:40.4113328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs PASSED [0.0436s] [ 54%] 2023-07-07T20:05:40.4113630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList SKIPPED [0.0010s] (Unsupported opset_version: 13 < 14) [ 54%] 2023-07-07T20:05:40.4113942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape SKIPPED [0.0008s] (Unsupported opset_version: 13 < 14) [ 54%] 2023-07-07T20:05:40.4114182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unique PASSED [0.0111s] [ 54%] 2023-07-07T20:05:40.4114430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0099s] [ 54%] 2023-07-07T20:05:40.4114785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim PASSED [0.0089s] [ 54%] 2023-07-07T20:05:40.4115081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad SKIPPED [0.0009s] (Unsupported opset_version: 13 > 10) [ 54%] 2023-07-07T20:05:40.4115330Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0254s] [ 54%] 2023-07-07T20:05:40.4115575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_correction PASSED [0.0151s] [ 54%] 2023-07-07T20:05:40.4115855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0226s] [ 54%] 2023-07-07T20:05:40.4116116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_mean_along_dims PASSED [0.0256s] [ 54%] 2023-07-07T20:05:40.4116431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims PASSED [0.0320s] [ 54%] 2023-07-07T20:05:40.4116831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_view PASSED [0.0146s] [ 54%] 2023-07-07T20:05:40.4117211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic PASSED [0.0247s] [ 54%] 2023-07-07T20:05:40.4117608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim PASSED [0.0129s] [ 54%] 2023-07-07T20:05:40.4118090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_condition SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 54%] 2023-07-07T20:05:40.4118574Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script SKIPPED [0.0008s] (Skip verify test for unsupported opset_version) [ 54%] 2023-07-07T20:05:40.4118966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor PASSED [0.0491s] [ 54%] 2023-07-07T20:05:40.4119344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_where_with_byte_tensor PASSED [0.0109s] [ 54%] 2023-07-07T20:05:40.4119811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 54%] 2023-07-07T20:05:40.4120190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_MSELoss PASSED [0.0257s] [ 54%] 2023-07-07T20:05:40.4120646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_none SKIPPED [0.0010s] (Unsupported opset_version: 13 < 15) [ 54%] 2023-07-07T20:05:40.4121111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 13 < 15) [ 54%] 2023-07-07T20:05:40.4121483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0081s] [ 54%] 2023-07-07T20:05:40.4121856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_and_or_xor PASSED [0.0070s] [ 54%] 2023-07-07T20:05:40.4122253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_any PASSED [0.0179s] [ 54%] 2023-07-07T20:05:40.4122623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0146s] [ 55%] 2023-07-07T20:05:40.4122997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_out PASSED [0.0077s] [ 55%] 2023-07-07T20:05:40.4123413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0133s] [ 55%] 2023-07-07T20:05:40.4123810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype PASSED [0.0129s] [ 55%] 2023-07-07T20:05:40.4124194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax PASSED [0.0171s] [ 55%] 2023-07-07T20:05:40.4124686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index PASSED [0.0336s] [ 55%] 2023-07-07T20:05:40.4125127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_argsort PASSED [0.0067s] [ 55%] 2023-07-07T20:05:40.4125464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arithmetic PASSED [0.0095s] [ 55%] 2023-07-07T20:05:40.4125734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0036s] [ 55%] 2023-07-07T20:05:40.4126044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0184s] [ 55%] 2023-07-07T20:05:40.4126682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0049s] [ 55%] 2023-07-07T20:05:40.4127237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.4127380Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.4127466Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.4127477Z 2023-07-07T20:05:40.4127615Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.4127753Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.4127944Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0040s] [ 55%] 2023-07-07T20:05:40.4128495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4128650Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4128796Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4128951Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4128958Z 2023-07-07T20:05:40.4129046Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4129192Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4129339Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4129523Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4129530Z 2023-07-07T20:05:40.4129664Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4129810Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4129956Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4130109Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4130115Z 2023-07-07T20:05:40.4130119Z 2023-07-07T20:05:40.4130264Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4130444Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4130589Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4130737Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4130743Z 2023-07-07T20:05:40.4130889Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4131020Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4131166Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4131313Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4131318Z 2023-07-07T20:05:40.4131404Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4131548Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4131715Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4131907Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0039s] [ 55%] 2023-07-07T20:05:40.4132449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.4132597Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0038s] [ 55%] 2023-07-07T20:05:40.4133130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0048s] [ 55%] 2023-07-07T20:05:40.4133689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0055s] [ 55%] 2023-07-07T20:05:40.4134231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.4134373Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.4134459Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.4134466Z 2023-07-07T20:05:40.4134601Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.4134733Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.4134919Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0039s] [ 55%] 2023-07-07T20:05:40.4135167Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0081s] [ 55%] 2023-07-07T20:05:40.4135424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0073s] [ 55%] 2023-07-07T20:05:40.4135728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0110s] [ 55%] 2023-07-07T20:05:40.4136044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0116s] [ 55%] 2023-07-07T20:05:40.4136340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0115s] [ 55%] 2023-07-07T20:05:40.4136634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0134s] [ 55%] 2023-07-07T20:05:40.4136952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0132s] [ 55%] 2023-07-07T20:05:40.4137217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0097s] [ 55%] 2023-07-07T20:05:40.4137470Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batched_nms PASSED [0.0818s] [ 55%] 2023-07-07T20:05:40.4137747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d PASSED [0.0133s] [ 55%] 2023-07-07T20:05:40.4138019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0221s] [ 55%] 2023-07-07T20:05:40.4138268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d PASSED [0.1302s] [ 55%] 2023-07-07T20:05:40.4138525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1306s] [ 55%] 2023-07-07T20:05:40.4138819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training PASSED [0.0576s] [ 55%] 2023-07-07T20:05:40.4139094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer PASSED [0.1911s] [ 55%] 2023-07-07T20:05:40.4139341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_bernoulli PASSED [0.0142s] [ 55%] 2023-07-07T20:05:40.4139576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0145s] [ 55%] 2023-07-07T20:05:40.4139825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8 PASSED [0.0104s] [ 55%] 2023-07-07T20:05:40.4140080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors PASSED [0.0218s] [ 55%] 2023-07-07T20:05:40.4140321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cast_to PASSED [0.0032s] [ 55%] 2023-07-07T20:05:40.4140581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cast_type_as_with_bfloat16 PASSED [0.0065s] [ 55%] 2023-07-07T20:05:40.4140825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cdist PASSED [0.0101s] [ 55%] 2023-07-07T20:05:40.4141068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_chunk PASSED [0.0690s] [ 55%] 2023-07-07T20:05:40.4141346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic PASSED [0.0034s] [ 55%] 2023-07-07T20:05:40.4141598Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0245s] [ 55%] 2023-07-07T20:05:40.4141842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_conv PASSED [0.6825s] [ 55%] 2023-07-07T20:05:40.4142100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.7285s] [ 55%] 2023-07-07T20:05:40.4142370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_conv_tbc PASSED [0.0084s] [ 55%] 2023-07-07T20:05:40.4142628Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_cosine_similarity PASSED [0.0120s] [ 55%] 2023-07-07T20:05:40.4142855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_data PASSED [0.0046s] [ 55%] 2023-07-07T20:05:40.4143133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_derive_index PASSED [0.0524s] [ 55%] 2023-07-07T20:05:40.4143379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_device_eq PASSED [0.0055s] [ 55%] 2023-07-07T20:05:40.4143622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dict PASSED [0.0051s] [ 55%] 2023-07-07T20:05:40.4143871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dict_output PASSED [0.0052s] [ 55%] 2023-07-07T20:05:40.4144140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dim PASSED [0.0043s] [ 55%] 2023-07-07T20:05:40.4144380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dim_1 PASSED [0.0036s] [ 55%] 2023-07-07T20:05:40.4144646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness PASSED [0.0219s] [ 55%] 2023-07-07T20:05:40.4144894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform PASSED [0.0436s] [ 55%] 2023-07-07T20:05:40.4145158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness PASSED [0.0156s] [ 55%] 2023-07-07T20:05:40.4145420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0093s] [ 55%] 2023-07-07T20:05:40.4145660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dot PASSED [0.0083s] [ 55%] 2023-07-07T20:05:40.4145894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dropout PASSED [0.0049s] [ 55%] 2023-07-07T20:05:40.4146149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dropout_training PASSED [0.0146s] [ 55%] 2023-07-07T20:05:40.4146400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dynamic_chunk PASSED [0.0996s] [ 55%] 2023-07-07T20:05:40.4146678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as PASSED [0.0839s] [ 55%] 2023-07-07T20:05:40.4146924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_einsum PASSED [0.0260s] [ 55%] 2023-07-07T20:05:40.4147175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag PASSED [0.0909s] [ 55%] 2023-07-07T20:05:40.4147451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights PASSED [0.0314s] [ 55%] 2023-07-07T20:05:40.4147922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 55%] 2023-07-07T20:05:40.4148183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_embedding_renorm PASSED [0.0130s] [ 55%] 2023-07-07T20:05:40.4148422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_eq PASSED [0.0147s] [ 55%] 2023-07-07T20:05:40.4148747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_expand SKIPPED [0.0009s] (Skip verify test for unsupported opset_version) [ 55%] 2023-07-07T20:05:40.4149011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor PASSED [0.0073s] [ 55%] 2023-07-07T20:05:40.4149257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_flatten PASSED [0.0174s] [ 55%] 2023-07-07T20:05:40.4149514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_flip PASSED [0.0063s] [ 55%] 2023-07-07T20:05:40.4149778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype PASSED [0.0082s] [ 55%] 2023-07-07T20:05:40.4150101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 55%] 2023-07-07T20:05:40.4150353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0087s] [ 55%] 2023-07-07T20:05:40.4150615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim PASSED [0.0089s] [ 55%] 2023-07-07T20:05:40.4150867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_full_like PASSED [0.0057s] [ 55%] 2023-07-07T20:05:40.4151115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_full_trace PASSED [0.0095s] [ 55%] 2023-07-07T20:05:40.4151366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm PASSED [0.0050s] [ 55%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_ge PASSED [0.0154s] [ 55%] 2023-07-07T20:05:40.4153127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_ge_scalar PASSED [0.0093s] [ 55%] 2023-07-07T20:05:40.4153373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_getitem PASSED [0.0046s] [ 55%] 2023-07-07T20:05:40.4153618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_glu PASSED [0.0059s] [ 55%] 2023-07-07T20:05:40.4153971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0009s] (Unsupported opset_version: 13 < 16) [ 55%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4155782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4156110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4156452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4156786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4157111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4157473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4157810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4158136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0010s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4158491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 55%] 2023-07-07T20:05:40.4158731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.0696s] [ 55%] 2023-07-07T20:05:40.4158979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_gru_no_bias PASSED [0.0768s] [ 55%] 2023-07-07T20:05:40.4159270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values PASSED [0.0148s] [ 55%] 2023-07-07T20:05:40.4159530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype PASSED [0.0086s] [ 55%] 2023-07-07T20:05:40.4159783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0127s] [ 55%] 2023-07-07T20:05:40.4160028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardtanh PASSED [0.0061s] [ 55%] 2023-07-07T20:05:40.4160336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values PASSED [0.0036s] [ 55%] 2023-07-07T20:05:40.4160576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_im2col PASSED [0.0664s] [ 55%] 2023-07-07T20:05:40.4160823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_1d PASSED [0.0061s] [ 55%] 2023-07-07T20:05:40.4161080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_2d_1dimslice PASSED [0.0088s] [ 55%] 2023-07-07T20:05:40.4161335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0065s] [ 55%] 2023-07-07T20:05:40.4161600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ PASSED [0.0103s] [ 55%] 2023-07-07T20:05:40.4161851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop PASSED [0.0254s] [ 55%] 2023-07-07T20:05:40.4162089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_add_normal PASSED [0.0290s] [ 55%] 2023-07-07T20:05:40.4162335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put PASSED [0.0094s] [ 55%] 2023-07-07T20:05:40.4162592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis PASSED [0.0944s] [ 55%] 2023-07-07T20:05:40.4162868Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample PASSED [0.2047s] [ 55%] 2023-07-07T20:05:40.4168620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0010s] (Unsupported opset_version: 13 > 8) [ 55%] 2023-07-07T20:05:40.4168987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_isinf PASSED [0.0046s] [ 55%] 2023-07-07T20:05:40.4169354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_isnan PASSED [0.0040s] [ 55%] 2023-07-07T20:05:40.4169710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_kldiv_loss PASSED [0.1141s] [ 55%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim PASSED [0.0263s] [ 55%] 2023-07-07T20:05:40.4176275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dtype PASSED [0.0052s] [ 55%] 2023-07-07T20:05:40.4176683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0032s] [ 55%] 2023-07-07T20:05:40.4177063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list PASSED [0.0049s] [ 55%] 2023-07-07T20:05:40.4177438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple PASSED [0.0099s] [ 55%] 2023-07-07T20:05:40.4177813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0110s] [ 55%] 2023-07-07T20:05:40.4178239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.1267s] [ 55%] 2023-07-07T20:05:40.4178606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_lt PASSED [0.0156s] [ 55%] 2023-07-07T20:05:40.4178967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_masked_fill PASSED [0.0126s] [ 55%] 2023-07-07T20:05:40.4179382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace PASSED [0.0056s] [ 55%] 2023-07-07T20:05:40.4179753Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_max_int PASSED [0.0061s] [ 55%] 2023-07-07T20:05:40.4180086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes PASSED [0.0146s] [ 55%] 2023-07-07T20:05:40.4180331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0066s] [ 55%] 2023-07-07T20:05:40.4180622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0064s] [ 55%] 2023-07-07T20:05:40.4180876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation PASSED [0.0064s] [ 55%] 2023-07-07T20:05:40.4181138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0106s] [ 55%] 2023-07-07T20:05:40.4181384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_meshgrid PASSED [0.0144s] [ 55%] 2023-07-07T20:05:40.4181643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar PASSED [0.0145s] [ 55%] 2023-07-07T20:05:40.4181890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_min_int PASSED [0.0065s] [ 55%] 2023-07-07T20:05:40.4182197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none SKIPPED [0.0009s] (Unsupported opset_version: 13 < 15) [ 55%] 2023-07-07T20:05:40.4182506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 13 < 15) [ 55%] 2023-07-07T20:05:40.4182741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_movedim PASSED [0.0123s] [ 55%] 2023-07-07T20:05:40.4182992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_multinomial PASSED [0.0126s] [ 55%] 2023-07-07T20:05:40.4183304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave PASSED [0.0452s] [ 55%] 2023-07-07T20:05:40.4183549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num PASSED [0.0406s] [ 55%] 2023-07-07T20:05:40.4183804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0068s] [ 55%] 2023-07-07T20:05:40.4184074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_new_full PASSED [0.0241s] [ 55%] 2023-07-07T20:05:40.4184317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss PASSED [0.0112s] [ 55%] 2023-07-07T20:05:40.4184584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index PASSED [0.0145s] [ 55%] 2023-07-07T20:05:40.4184835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none PASSED [0.0149s] [ 56%] 2023-07-07T20:05:40.4185130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index PASSED [0.0131s] [ 56%] 2023-07-07T20:05:40.4185376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_nonzero PASSED [0.0109s] [ 56%] 2023-07-07T20:05:40.4185624Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_normalize PASSED [0.0124s] [ 56%] 2023-07-07T20:05:40.4185883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_one_hot PASSED [0.0134s] [ 56%] 2023-07-07T20:05:40.4186126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0115s] [ 56%] 2023-07-07T20:05:40.4186438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_1 SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 56%] 2023-07-07T20:05:40.4186748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 56%] 2023-07-07T20:05:40.4187053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 56%] 2023-07-07T20:05:40.4187366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 56%] 2023-07-07T20:05:40.4187678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 56%] 2023-07-07T20:05:40.4187928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pad_circular PASSED [0.0125s] [ 56%] 2023-07-07T20:05:40.4188190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative PASSED [0.0075s] [ 56%] 2023-07-07T20:05:40.4188474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.1774s] [ 56%] 2023-07-07T20:05:40.4188726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle PASSED [0.0180s] [ 56%] 2023-07-07T20:05:40.4188969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_pow PASSED [0.0316s] [ 56%] 2023-07-07T20:05:40.4189212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_prelu PASSED [0.0054s] [ 56%] 2023-07-07T20:05:40.4189490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar PASSED [0.0044s] [ 56%] 2023-07-07T20:05:40.4189738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer PASSED [0.0044s] [ 56%] 2023-07-07T20:05:40.4190026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0197s] [ 56%] 2023-07-07T20:05:40.4190333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0135s] [ 56%] 2023-07-07T20:05:40.4190833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4191217Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4191296Z PASSED [0.0213s] [ 56%] 2023-07-07T20:05:40.4191554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused PASSED [0.0577s] [ 56%] 2023-07-07T20:05:40.4192047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4192395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4192475Z PASSED [0.0168s] [ 56%] 2023-07-07T20:05:40.4192748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d PASSED [0.0138s] [ 56%] 2023-07-07T20:05:40.4193010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic PASSED [0.0196s] [ 56%] 2023-07-07T20:05:40.4193286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_arithmetic_qfunctional PASSED [0.0202s] [ 56%] 2023-07-07T20:05:40.4193558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale PASSED [0.0154s] [ 56%] 2023-07-07T20:05:40.4193869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_shape PASSED [0.0154s] [ 56%] 2023-07-07T20:05:40.4194146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0149s] [ 56%] 2023-07-07T20:05:40.4194410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0384s] [ 56%] 2023-07-07T20:05:40.4194757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv3d PASSED [0.0416s] [ 56%] 2023-07-07T20:05:40.4195064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d PASSED [0.0654s] [ 56%] 2023-07-07T20:05:40.4195336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d PASSED [0.1165s] [ 56%] 2023-07-07T20:05:40.4195594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten PASSED [0.0157s] [ 56%] 2023-07-07T20:05:40.4195873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_linear PASSED [0.0306s] [ 56%] 2023-07-07T20:05:40.4196259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 56%] 2023-07-07T20:05:40.4196529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand PASSED [0.0166s] [ 56%] 2023-07-07T20:05:40.4196829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm PASSED [0.0231s] [ 56%] 2023-07-07T20:05:40.4197105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm PASSED [0.0178s] [ 56%] 2023-07-07T20:05:40.4197387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_leaky_relu PASSED [0.0163s] [ 56%] 2023-07-07T20:05:40.4197667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0158s] [ 56%] 2023-07-07T20:05:40.4197933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu PASSED [0.0133s] [ 56%] 2023-07-07T20:05:40.4198181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_select PASSED [0.0124s] [ 56%] 2023-07-07T20:05:40.4198449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid PASSED [0.0208s] [ 56%] 2023-07-07T20:05:40.4198716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh PASSED [0.0139s] [ 56%] 2023-07-07T20:05:40.4198987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose PASSED [0.0119s] [ 56%] 2023-07-07T20:05:40.4199263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0102s] [ 56%] 2023-07-07T20:05:40.4199522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_dynamic_size PASSED [0.0111s] [ 56%] 2023-07-07T20:05:40.4199769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_like PASSED [0.0116s] [ 56%] 2023-07-07T20:05:40.4200019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rand_like_dtype PASSED [0.0097s] [ 56%] 2023-07-07T20:05:40.4200295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0115s] [ 56%] 2023-07-07T20:05:40.4200547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0098s] [ 56%] 2023-07-07T20:05:40.4200803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0077s] [ 56%] 2023-07-07T20:05:40.4201056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0090s] [ 56%] 2023-07-07T20:05:40.4201336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0104s] [ 56%] 2023-07-07T20:05:40.4201579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0219s] [ 56%] 2023-07-07T20:05:40.4201833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0352s] [ 56%] 2023-07-07T20:05:40.4202115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave PASSED [0.0777s] [ 56%] 2023-07-07T20:05:40.4202377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave_noop PASSED [0.0110s] [ 56%] 2023-07-07T20:05:40.4202632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0231s] [ 56%] 2023-07-07T20:05:40.4203146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 56%] 2023-07-07T20:05:40.4203411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0062s] [ 56%] 2023-07-07T20:05:40.4203668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_resize_images PASSED [0.0456s] [ 56%] 2023-07-07T20:05:40.4204037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0442s] [ 56%] 2023-07-07T20:05:40.4204785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4205205Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4205553Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4205632Z PASSED [0.0508s] [ 56%] 2023-07-07T20:05:40.4205994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0379s] [ 56%] 2023-07-07T20:05:40.4206395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0380s] [ 56%] 2023-07-07T20:05:40.4207037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4207390Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4207771Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4207849Z PASSED [0.0445s] [ 56%] 2023-07-07T20:05:40.4208437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4208790Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4209119Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4209197Z PASSED [0.0434s] [ 56%] 2023-07-07T20:05:40.4209804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4210143Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4210517Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4210855Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4210935Z PASSED [0.0440s] [ 56%] 2023-07-07T20:05:40.4211887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4212409Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4212953Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4213469Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4213624Z PASSED [0.0446s] [ 56%] 2023-07-07T20:05:40.4214166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0331s] [ 56%] 2023-07-07T20:05:40.4215079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4215596Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4216117Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4216236Z PASSED [0.0409s] [ 56%] 2023-07-07T20:05:40.4216775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0272s] [ 56%] 2023-07-07T20:05:40.4217739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4218260Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4218774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4218920Z PASSED [0.0356s] [ 56%] 2023-07-07T20:05:40.4219842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4220225Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4220550Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4220631Z PASSED [0.0354s] [ 56%] 2023-07-07T20:05:40.4221233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4221607Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4221950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4222288Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4222372Z PASSED [0.0361s] [ 56%] 2023-07-07T20:05:40.4222984Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4223327Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4223698Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4224040Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4224122Z PASSED [0.0358s] [ 56%] 2023-07-07T20:05:40.4224739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4225112Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4225473Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4225553Z PASSED [0.0299s] [ 56%] 2023-07-07T20:05:40.4226162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4226533Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4226874Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4227212Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4227293Z PASSED [0.0302s] [ 56%] 2023-07-07T20:05:40.4227650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0183s] [ 56%] 2023-07-07T20:05:40.4228280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4228618Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4228973Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4229053Z PASSED [0.0313s] [ 56%] 2023-07-07T20:05:40.4229651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4230017Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4230358Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4230713Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4230793Z PASSED [0.0322s] [ 56%] 2023-07-07T20:05:40.4231145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0206s] [ 56%] 2023-07-07T20:05:40.4231505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0203s] [ 56%] 2023-07-07T20:05:40.4232132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4232477Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4232818Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4232896Z PASSED [0.0265s] [ 56%] 2023-07-07T20:05:40.4233500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4233837Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4234205Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4234284Z PASSED [0.0264s] [ 56%] 2023-07-07T20:05:40.4234975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4235356Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4235700Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4236065Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4236147Z PASSED [0.0273s] [ 56%] 2023-07-07T20:05:40.4236757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4237161Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4237483Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4237822Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4237902Z PASSED [0.0268s] [ 56%] 2023-07-07T20:05:40.4238515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4238858Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4239202Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4239282Z PASSED [0.0562s] [ 56%] 2023-07-07T20:05:40.4239920Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4240256Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4240616Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4240696Z PASSED [0.0559s] [ 56%] 2023-07-07T20:05:40.4241319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4241660Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4242029Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4242367Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4242446Z PASSED [0.0566s] [ 56%] 2023-07-07T20:05:40.4242808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0434s] [ 56%] 2023-07-07T20:05:40.4243174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0437s] [ 56%] 2023-07-07T20:05:40.4243788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4244130Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4244654Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4244741Z PASSED [0.0552s] [ 56%] 2023-07-07T20:05:40.4245361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4245732Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4246071Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4246136Z PASSED [0.0512s] [ 56%] 2023-07-07T20:05:40.4246533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0384s] [ 56%] 2023-07-07T20:05:40.4246907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0382s] [ 56%] 2023-07-07T20:05:40.4247512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4247895Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4248235Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4248316Z PASSED [0.0447s] [ 56%] 2023-07-07T20:05:40.4248925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4249282Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4249796Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4250346Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4250461Z PASSED [0.0453s] [ 56%] 2023-07-07T20:05:40.4251380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4251925Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4252441Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4252554Z PASSED [0.0403s] [ 56%] 2023-07-07T20:05:40.4253505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4254021Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4254573Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4255084Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4255201Z PASSED [0.0402s] [ 56%] 2023-07-07T20:05:40.4256118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4256631Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4257140Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4257626Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4257744Z PASSED [0.0396s] [ 56%] 2023-07-07T20:05:40.4258255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0274s] [ 56%] 2023-07-07T20:05:40.4258620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0276s] [ 56%] 2023-07-07T20:05:40.4259231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4259608Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4259974Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4260054Z PASSED [0.0359s] [ 56%] 2023-07-07T20:05:40.4260658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4261029Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4261370Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4261709Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4261789Z PASSED [0.0365s] [ 56%] 2023-07-07T20:05:40.4262403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4262744Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4263083Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4263458Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4263538Z PASSED [0.0362s] [ 56%] 2023-07-07T20:05:40.4263901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0242s] [ 56%] 2023-07-07T20:05:40.4264505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4264879Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4265245Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4265582Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4265649Z PASSED [0.0307s] [ 56%] 2023-07-07T20:05:40.4266045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0186s] [ 56%] 2023-07-07T20:05:40.4266411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0185s] [ 56%] 2023-07-07T20:05:40.4267014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4267361Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4267696Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4268031Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4268112Z PASSED [0.0320s] [ 56%] 2023-07-07T20:05:40.4268498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0204s] [ 56%] 2023-07-07T20:05:40.4269103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4269443Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4269817Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4269898Z PASSED [0.0271s] [ 56%] 2023-07-07T20:05:40.4270532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4270875Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4271238Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4271316Z PASSED [0.0269s] [ 56%] 2023-07-07T20:05:40.4271923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4272264Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4272607Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4272948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4273026Z PASSED [0.0270s] [ 56%] 2023-07-07T20:05:40.4273379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0152s] [ 56%] 2023-07-07T20:05:40.4273753Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0149s] [ 56%] 2023-07-07T20:05:40.4274371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4274830Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4275160Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4275240Z PASSED [0.1157s] [ 56%] 2023-07-07T20:05:40.4275876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4276220Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4276586Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4276924Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4277003Z PASSED [0.1170s] [ 56%] 2023-07-07T20:05:40.4277608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4277950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4278291Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4278626Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4278705Z PASSED [0.1158s] [ 56%] 2023-07-07T20:05:40.4279097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1032s] [ 56%] 2023-07-07T20:05:40.4279706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4280076Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4280417Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4280495Z PASSED [0.1114s] [ 56%] 2023-07-07T20:05:40.4281151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4281494Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4281850Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4281927Z PASSED [0.1110s] [ 56%] 2023-07-07T20:05:40.4282526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4282864Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4283208Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4283533Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4283612Z PASSED [0.1122s] [ 56%] 2023-07-07T20:05:40.4283973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0976s] [ 56%] 2023-07-07T20:05:40.4284751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4285095Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4285467Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4285549Z PASSED [0.0733s] [ 56%] 2023-07-07T20:05:40.4285900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0616s] [ 56%] 2023-07-07T20:05:40.4286285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0612s] [ 56%] 2023-07-07T20:05:40.4286894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4287269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4287610Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4287950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4288031Z PASSED [0.0683s] [ 56%] 2023-07-07T20:05:40.4288642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4288982Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4289324Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4289687Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4289766Z PASSED [0.0545s] [ 56%] 2023-07-07T20:05:40.4290380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4290745Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4291258Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4291797Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4291901Z PASSED [0.0492s] [ 56%] 2023-07-07T20:05:40.4292458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0370s] [ 56%] 2023-07-07T20:05:40.4293412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4293928Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4294438Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4294553Z PASSED [0.0409s] [ 56%] 2023-07-07T20:05:40.4295460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4295970Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4296482Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4297022Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4297137Z PASSED [0.0414s] [ 56%] 2023-07-07T20:05:40.4298046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4298595Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4299103Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4299643Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4299759Z PASSED [0.0409s] [ 56%] 2023-07-07T20:05:40.4300288Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0299s] [ 56%] 2023-07-07T20:05:40.4301224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4301695Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4302035Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4302376Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4302457Z PASSED [0.0361s] [ 56%] 2023-07-07T20:05:40.4303067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4303409Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4303786Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4303853Z PASSED [0.1200s] [ 56%] 2023-07-07T20:05:40.4304467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4304835Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4305170Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4305249Z PASSED [0.1191s] [ 56%] 2023-07-07T20:05:40.4305882Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4306250Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4306587Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4306921Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4307003Z PASSED [0.1203s] [ 56%] 2023-07-07T20:05:40.4307361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1240s] [ 56%] 2023-07-07T20:05:40.4307724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1040s] [ 56%] 2023-07-07T20:05:40.4308337Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4308705Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4309042Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4309119Z PASSED [0.1158s] [ 56%] 2023-07-07T20:05:40.4309481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1446s] [ 56%] 2023-07-07T20:05:40.4310108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4310474Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4310814Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4310896Z PASSED [0.1057s] [ 56%] 2023-07-07T20:05:40.4311243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0884s] [ 56%] 2023-07-07T20:05:40.4311616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0874s] [ 56%] 2023-07-07T20:05:40.4312230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4312570Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4312894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4312971Z PASSED [0.0988s] [ 56%] 2023-07-07T20:05:40.4313580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4313950Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4314293Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4314706Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4314829Z PASSED [0.0983s] [ 56%] 2023-07-07T20:05:40.4315436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4315806Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4316144Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4316226Z PASSED [0.0518s] [ 56%] 2023-07-07T20:05:40.4316844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4317216Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4317555Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4317895Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4317976Z PASSED [0.0517s] [ 56%] 2023-07-07T20:05:40.4318588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4318931Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4319299Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4319639Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4319717Z PASSED [0.0469s] [ 56%] 2023-07-07T20:05:40.4320068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0501s] [ 56%] 2023-07-07T20:05:40.4320717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4321084Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4321407Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4321487Z PASSED [0.0543s] [ 56%] 2023-07-07T20:05:40.4322089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4322459Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4322797Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4323140Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4323219Z PASSED [0.0547s] [ 56%] 2023-07-07T20:05:40.4323573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0389s] [ 56%] 2023-07-07T20:05:40.4324168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4324678Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4325022Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4325358Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4325497Z PASSED [0.0469s] [ 56%] 2023-07-07T20:05:40.4325860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0353s] [ 56%] 2023-07-07T20:05:40.4326383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4326723Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4327064Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4327438Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4327779Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4328111Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4328449Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4328786Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4329125Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4329444Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4329804Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4330146Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4330480Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4330842Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4330922Z PASSED [0.1918s] [ 56%] 2023-07-07T20:05:40.4331176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_roi_align PASSED [0.0115s] [ 56%] 2023-07-07T20:05:40.4331421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rpn PASSED [1.5779s] [ 56%] 2023-07-07T20:05:40.4331697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0080s] [ 56%] 2023-07-07T20:05:40.4331955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0155s] [ 56%] 2023-07-07T20:05:40.4332201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter PASSED [0.0226s] [ 56%] 2023-07-07T20:05:40.4332523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src SKIPPED [0.0013s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4332902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4333241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4333581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4333911Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4334215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4334506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4334813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0013s] (Unsupported opset_version: 13 < 16) [ 56%] 2023-07-07T20:05:40.4335117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0331s] [ 56%] 2023-07-07T20:05:40.4335362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_select PASSED [0.0102s] [ 56%] 2023-07-07T20:05:40.4335623Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0098s] [ 56%] 2023-07-07T20:05:40.4335884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried PASSED [0.0080s] [ 56%] 2023-07-07T20:05:40.4336162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool PASSED [0.0080s] [ 56%] 2023-07-07T20:05:40.4336422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float PASSED [0.0079s] [ 56%] 2023-07-07T20:05:40.4336676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int PASSED [0.0076s] [ 56%] 2023-07-07T20:05:40.4336944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_ PASSED [0.0096s] [ 56%] 2023-07-07T20:05:40.4337192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_2 PASSED [0.0071s] [ 56%] 2023-07-07T20:05:40.4337436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4 PASSED [0.0073s] [ 56%] 2023-07-07T20:05:40.4337667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_5 PASSED [0.0072s] [ 56%] 2023-07-07T20:05:40.4337957Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list PASSED [0.0072s] [ 57%] 2023-07-07T20:05:40.4338209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0337s] [ 57%] 2023-07-07T20:05:40.4338460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0335s] [ 57%] 2023-07-07T20:05:40.4338722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold PASSED [0.0066s] [ 57%] 2023-07-07T20:05:40.4338961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_silu PASSED [0.0045s] [ 57%] 2023-07-07T20:05:40.4339208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_size PASSED [0.0337s] [ 57%] 2023-07-07T20:05:40.4339458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic PASSED [0.0519s] [ 57%] 2023-07-07T20:05:40.4339724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script PASSED [0.0183s] [ 57%] 2023-07-07T20:05:40.4339970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0080s] [ 57%] 2023-07-07T20:05:40.4340224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0121s] [ 57%] 2023-07-07T20:05:40.4340517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large_negone PASSED [0.0093s] [ 57%] 2023-07-07T20:05:40.4340754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0078s] [ 57%] 2023-07-07T20:05:40.4341018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size PASSED [0.0494s] [ 57%] 2023-07-07T20:05:40.4341275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0251s] [ 57%] 2023-07-07T20:05:40.4341550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0165s] [ 57%] 2023-07-07T20:05:40.4341802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0255s] [ 57%] 2023-07-07T20:05:40.4342041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sort PASSED [0.0144s] [ 57%] 2023-07-07T20:05:40.4342315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending PASSED [0.0150s] [ 57%] 2023-07-07T20:05:40.4342565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_spectral_norm PASSED [0.0116s] [ 57%] 2023-07-07T20:05:40.4342812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic PASSED [0.0054s] [ 57%] 2023-07-07T20:05:40.4343068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes PASSED [0.0068s] [ 57%] 2023-07-07T20:05:40.4343355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_size_as_list PASSED [0.0107s] [ 57%] 2023-07-07T20:05:40.4343613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice PASSED [0.0230s] [ 57%] 2023-07-07T20:05:40.4343870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0059s] [ 57%] 2023-07-07T20:05:40.4344100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_square PASSED [0.0040s] [ 57%] 2023-07-07T20:05:40.4344350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0042s] [ 57%] 2023-07-07T20:05:40.4344603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0090s] [ 57%] 2023-07-07T20:05:40.4344856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0294s] [ 57%] 2023-07-07T20:05:40.4345114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0054s] [ 57%] 2023-07-07T20:05:40.4345353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_std PASSED [0.0147s] [ 57%] 2023-07-07T20:05:40.4345605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0109s] [ 57%] 2023-07-07T20:05:40.4345925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 13 < 17) [ 57%] 2023-07-07T20:05:40.4346236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 57%] 2023-07-07T20:05:40.4346523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 57%] 2023-07-07T20:05:40.4346851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 57%] 2023-07-07T20:05:40.4347151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_same_size SKIPPED [0.0009s] (Unsupported opset_version: 13 < 17) [ 57%] 2023-07-07T20:05:40.4347451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 57%] 2023-07-07T20:05:40.4347729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_sum_empty_tensor PASSED [0.0282s] [ 57%] 2023-07-07T20:05:40.4347983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0468s] [ 57%] 2023-07-07T20:05:40.4348259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0313s] [ 57%] 2023-07-07T20:05:40.4348554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box PASSED [0.0413s] [ 57%] 2023-07-07T20:05:40.4348826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0086s] [ 57%] 2023-07-07T20:05:40.4349098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0457s] [ 57%] 2023-07-07T20:05:40.4349369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0120s] [ 57%] 2023-07-07T20:05:40.4349617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0103s] [ 57%] 2023-07-07T20:05:40.4349868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0057s] [ 57%] 2023-07-07T20:05:40.4350108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor PASSED [0.0155s] [ 57%] 2023-07-07T20:05:40.4350391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0195s] [ 57%] 2023-07-07T20:05:40.4350661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0055s] [ 57%] 2023-07-07T20:05:40.4350925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes PASSED [0.0129s] [ 57%] 2023-07-07T20:05:40.4351220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count PASSED [0.0182s] [ 57%] 2023-07-07T20:05:40.4351460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list PASSED [0.0197s] [ 57%] 2023-07-07T20:05:40.4351722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim PASSED [0.0214s] [ 57%] 2023-07-07T20:05:40.4351968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_to_device PASSED [0.0116s] [ 57%] 2023-07-07T20:05:40.4352252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tolist PASSED [0.0033s] [ 57%] 2023-07-07T20:05:40.4352501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0079s] [ 57%] 2023-07-07T20:05:40.4352759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_topk_smallest_unsorted PASSED [0.0125s] [ 57%] 2023-07-07T20:05:40.4353031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0151s] [ 57%] 2023-07-07T20:05:40.4353309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tril SKIPPED [0.0009s] (Unsupported opset_version: 13 < 14) [ 57%] 2023-07-07T20:05:40.4353607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0008s] (Unsupported opset_version: 13 < 15) [ 57%] 2023-07-07T20:05:40.4353945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor SKIPPED [0.0015s] (Unsupported opset_version: 13 < 15) [ 57%] 2023-07-07T20:05:40.4354323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 57%] 2023-07-07T20:05:40.4354571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_output PASSED [0.0056s] [ 57%] 2023-07-07T20:05:40.4354917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs PASSED [0.0040s] [ 57%] 2023-07-07T20:05:40.4355148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unbind PASSED [0.0192s] [ 57%] 2023-07-07T20:05:40.4355406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic PASSED [0.0054s] [ 57%] 2023-07-07T20:05:40.4355662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_uninitialized PASSED [0.0049s] [ 57%] 2023-07-07T20:05:40.4355969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList SKIPPED [0.0009s] (Unsupported opset_version: 13 < 14) [ 57%] 2023-07-07T20:05:40.4356285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic SKIPPED [0.0007s] (Unsupported opset_version: 13 < 14) [ 57%] 2023-07-07T20:05:40.4356561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unique PASSED [0.0058s] [ 57%] 2023-07-07T20:05:40.4356819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim PASSED [0.0057s] [ 57%] 2023-07-07T20:05:40.4357068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0052s] [ 57%] 2023-07-07T20:05:40.4357338Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim PASSED [0.0040s] [ 57%] 2023-07-07T20:05:40.4357610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_var PASSED [0.1001s] [ 57%] 2023-07-07T20:05:40.4357858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0173s] [ 57%] 2023-07-07T20:05:40.4358116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0177s] [ 57%] 2023-07-07T20:05:40.4358354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_view PASSED [0.0055s] [ 57%] 2023-07-07T20:05:40.4358610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_view_as PASSED [0.0050s] [ 57%] 2023-07-07T20:05:40.4358863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_view_dynamic PASSED [0.0172s] [ 57%] 2023-07-07T20:05:40.4359119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim PASSED [0.0129s] [ 57%] 2023-07-07T20:05:40.4359405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor PASSED [0.0049s] [ 57%] 2023-07-07T20:05:40.4359671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.0510s] [ 57%] 2023-07-07T20:05:40.4359930Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0507s] [ 57%] 2023-07-07T20:05:40.4360174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_MSELoss PASSED [0.0255s] [ 57%] 2023-07-07T20:05:40.4360424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0064s] [ 57%] 2023-07-07T20:05:40.4360666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_all PASSED [0.0206s] [ 57%] 2023-07-07T20:05:40.4360970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor SKIPPED [0.0009s] (Unsupported opset_version: 13 < 15) [ 57%] 2023-07-07T20:05:40.4361216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_aminmax PASSED [0.0075s] [ 57%] 2023-07-07T20:05:40.4361469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0203s] [ 57%] 2023-07-07T20:05:40.4361717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_end PASSED [0.0139s] [ 57%] 2023-07-07T20:05:40.4361975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_out PASSED [0.0070s] [ 57%] 2023-07-07T20:05:40.4362232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0130s] [ 57%] 2023-07-07T20:05:40.4362502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype PASSED [0.0152s] [ 57%] 2023-07-07T20:05:40.4362756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out PASSED [0.0191s] [ 57%] 2023-07-07T20:05:40.4363037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats PASSED [0.0500s] [ 57%] 2023-07-07T20:05:40.4363299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out PASSED [0.0255s] [ 57%] 2023-07-07T20:05:40.4363565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override PASSED [0.0220s] [ 57%] 2023-07-07T20:05:40.4363869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index PASSED [0.0330s] [ 57%] 2023-07-07T20:05:40.4364112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_argsort PASSED [0.0064s] [ 57%] 2023-07-07T20:05:40.4364366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0097s] [ 57%] 2023-07-07T20:05:40.4364791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision PASSED [0.0971s] [ 57%] 2023-07-07T20:05:40.4365111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0036s] [ 57%] 2023-07-07T20:05:40.4365374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0171s] [ 57%] 2023-07-07T20:05:40.4365609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_as_strided PASSED [0.0308s] [ 57%] 2023-07-07T20:05:40.4366256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0051s] [ 57%] 2023-07-07T20:05:40.4366812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.4366924Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0040s] [ 57%] 2023-07-07T20:05:40.4367482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.4367625Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.4367710Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.4367723Z 2023-07-07T20:05:40.4367860Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.4367999Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.4368245Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0041s] [ 57%] 2023-07-07T20:05:40.4368787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0051s] [ 57%] 2023-07-07T20:05:40.4369348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0049s] [ 57%] 2023-07-07T20:05:40.4369937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4370093Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4370243Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4370395Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4370401Z 2023-07-07T20:05:40.4370491Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4370642Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4370821Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4370974Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4370983Z 2023-07-07T20:05:40.4371130Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4371262Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4371406Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4371558Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4371600Z 2023-07-07T20:05:40.4371606Z 2023-07-07T20:05:40.4371751Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4371895Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4372041Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4372190Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4372196Z 2023-07-07T20:05:40.4372343Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4372474Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4372619Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4372769Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4372775Z 2023-07-07T20:05:40.4372860Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4373005Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4373150Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4373341Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0039s] [ 57%] 2023-07-07T20:05:40.4373883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.4373996Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0044s] [ 57%] 2023-07-07T20:05:40.4374543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4374694Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4374841Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4375022Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4375028Z 2023-07-07T20:05:40.4375117Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4375262Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4375454Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4375679Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4375687Z 2023-07-07T20:05:40.4375905Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4376105Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4376357Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4376580Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4376588Z 2023-07-07T20:05:40.4376596Z 2023-07-07T20:05:40.4376807Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4377026Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4377245Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4377465Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4377473Z 2023-07-07T20:05:40.4377686Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4377885Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4378132Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4378354Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4378362Z 2023-07-07T20:05:40.4378489Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4378704Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4378917Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4379206Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0037s] [ 57%] 2023-07-07T20:05:40.4379629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_auto_grad PASSED [0.0081s] [ 57%] 2023-07-07T20:05:40.4380005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool PASSED [0.0100s] [ 57%] 2023-07-07T20:05:40.4380382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0069s] [ 57%] 2023-07-07T20:05:40.4380837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0130s] [ 57%] 2023-07-07T20:05:40.4381291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0129s] [ 57%] 2023-07-07T20:05:40.4381750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0112s] [ 57%] 2023-07-07T20:05:40.4382200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0252s] [ 57%] 2023-07-07T20:05:40.4382642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0466s] [ 57%] 2023-07-07T20:05:40.4383026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil PASSED [0.5921s] [ 57%] 2023-07-07T20:05:40.4383467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0107s] [ 57%] 2023-07-07T20:05:40.4383842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_baddbmm PASSED [0.0091s] [ 57%] 2023-07-07T20:05:40.4384222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d PASSED [0.0128s] [ 57%] 2023-07-07T20:05:40.4384618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0135s] [ 57%] 2023-07-07T20:05:40.4385047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0145s] [ 57%] 2023-07-07T20:05:40.4385440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine PASSED [0.1533s] [ 57%] 2023-07-07T20:05:40.4385846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer PASSED [0.1241s] [ 57%] 2023-07-07T20:05:40.4386271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training PASSED [0.1046s] [ 57%] 2023-07-07T20:05:40.4386649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p PASSED [0.0356s] [ 57%] 2023-07-07T20:05:40.4387063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits PASSED [0.1282s] [ 57%] 2023-07-07T20:05:40.4387436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bitshift PASSED [0.0142s] [ 57%] 2023-07-07T20:05:40.4387830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bitshift_uint8 PASSED [0.0100s] [ 57%] 2023-07-07T20:05:40.4388204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors PASSED [0.0212s] [ 57%] 2023-07-07T20:05:40.4388458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_bucketize PASSED [0.0188s] [ 57%] 2023-07-07T20:05:40.4388704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cast_to PASSED [0.0034s] [ 57%] 2023-07-07T20:05:40.4388969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 PASSED [0.0072s] [ 57%] 2023-07-07T20:05:40.4389216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_celu PASSED [0.0051s] [ 57%] 2023-07-07T20:05:40.4389466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha PASSED [0.0046s] [ 57%] 2023-07-07T20:05:40.4389712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_celu_cast PASSED [0.0053s] [ 57%] 2023-07-07T20:05:40.4389941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_chunk PASSED [0.0676s] [ 57%] 2023-07-07T20:05:40.4390187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clamp PASSED [0.0153s] [ 57%] 2023-07-07T20:05:40.4390472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clamp_dyn PASSED [0.0209s] [ 57%] 2023-07-07T20:05:40.4390732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image PASSED [0.0344s] [ 57%] 2023-07-07T20:05:40.4390980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_clip_int PASSED [0.0064s] [ 57%] 2023-07-07T20:05:40.4391223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_concat PASSED [0.0053s] [ 57%] 2023-07-07T20:05:40.4391507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_conv_transpose PASSED [0.2992s] [ 57%] 2023-07-07T20:05:40.4391765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss PASSED [0.2849s] [ 57%] 2023-07-07T20:05:40.4392016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cste_script PASSED [0.0068s] [ 57%] 2023-07-07T20:05:40.4392296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_cumsum_with_cast PASSED [0.0303s] [ 57%] 2023-07-07T20:05:40.4392547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dequantize PASSED [0.0136s] [ 57%] 2023-07-07T20:05:40.4392813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_derive_index_scripting PASSED [0.0517s] [ 57%] 2023-07-07T20:05:40.4393048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dict_output PASSED [0.0049s] [ 57%] 2023-07-07T20:05:40.4393319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dim PASSED [0.0044s] [ 57%] 2023-07-07T20:05:40.4393583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness PASSED [0.0223s] [ 57%] 2023-07-07T20:05:40.4393851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness PASSED [0.0155s] [ 57%] 2023-07-07T20:05:40.4394116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script PASSED [0.0136s] [ 57%] 2023-07-07T20:05:40.4394378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace PASSED [0.0090s] [ 57%] 2023-07-07T20:05:40.4394721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode PASSED [0.0974s] [ 57%] 2023-07-07T20:05:40.4394963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dot PASSED [0.0081s] [ 57%] 2023-07-07T20:05:40.4395226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dropout_training_zero PASSED [0.0448s] [ 57%] 2023-07-07T20:05:40.4395467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_dtype PASSED [0.0034s] [ 57%] 2023-07-07T20:05:40.4395714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_einsum PASSED [0.0266s] [ 57%] 2023-07-07T20:05:40.4395996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding PASSED [0.0180s] [ 57%] 2023-07-07T20:05:40.4396234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag PASSED [0.0657s] [ 57%] 2023-07-07T20:05:40.4396515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights PASSED [0.0207s] [ 57%] 2023-07-07T20:05:40.4396939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 57%] 2023-07-07T20:05:40.4397234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_embedding_renorm PASSED [0.0128s] [ 57%] 2023-07-07T20:05:40.4397491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_empty_branch PASSED [0.0038s] [ 57%] 2023-07-07T20:05:40.4397754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor PASSED [0.0073s] [ 57%] 2023-07-07T20:05:40.4398068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_tensor_dynamic_scale_zeropoint PASSED [0.0062s] [ 57%] 2023-07-07T20:05:40.4398320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_flatten2d PASSED [0.0049s] [ 57%] 2023-07-07T20:05:40.4398576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes PASSED [0.0086s] [ 57%] 2023-07-07T20:05:40.4398854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_floating_point PASSED [0.0070s] [ 57%] 2023-07-07T20:05:40.4399171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_floor_div SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 57%] 2023-07-07T20:05:40.4399491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 57%] 2023-07-07T20:05:40.4399738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fmod PASSED [0.0048s] [ 57%] 2023-07-07T20:05:40.4399989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar PASSED [0.0054s] [ 57%] 2023-07-07T20:05:40.4400242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm PASSED [0.0079s] [ 57%] 2023-07-07T20:05:40.4400492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm_keepdim PASSED [0.0085s] [ 57%] 2023-07-07T20:05:40.4400738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_full_like PASSED [0.0055s] [ 57%] 2023-07-07T20:05:40.4400987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_full_script PASSED [0.0034s] [ 57%] 2023-07-07T20:05:40.4401231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_full_trace PASSED [0.0066s] [ 57%] 2023-07-07T20:05:40.4401503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm PASSED [0.0051s] [ 57%] 2023-07-07T20:05:40.4401752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn1d PASSED [0.0122s] [ 57%] 2023-07-07T20:05:40.4402005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d PASSED [0.0123s] [ 57%] 2023-07-07T20:05:40.4402288Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block PASSED [0.0095s] [ 57%] 2023-07-07T20:05:40.4402546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold PASSED [0.0334s] [ 58%] 2023-07-07T20:05:40.4402794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar PASSED [0.0094s] [ 58%] 2023-07-07T20:05:40.4403033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gelu PASSED [0.0075s] [ 58%] 2023-07-07T20:05:40.4403303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_getitem PASSED [0.0045s] [ 58%] 2023-07-07T20:05:40.4403622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4403961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4404320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0007s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4404784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0010s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4405127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0007s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4405462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0007s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4405788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4406122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4406451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 13 < 16) [ 58%] 2023-07-07T20:05:40.4406779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_groupnorm_noaffine PASSED [0.0838s] [ 58%] 2023-07-07T20:05:40.4407031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gru_no_bias PASSED [0.0766s] [ 58%] 2023-07-07T20:05:40.4407272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gt PASSED [0.0163s] [ 58%] 2023-07-07T20:05:40.4407522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar PASSED [0.0094s] [ 58%] 2023-07-07T20:05:40.4407822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values PASSED [0.0140s] [ 58%] 2023-07-07T20:05:40.4408089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hann_window_not_periodic PASSED [0.0149s] [ 58%] 2023-07-07T20:05:40.4408350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype PASSED [0.0079s] [ 58%] 2023-07-07T20:05:40.4408640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hardswish_script PASSED [0.0033s] [ 58%] 2023-07-07T20:05:40.4408876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_hardtanh PASSED [0.0060s] [ 58%] 2023-07-07T20:05:40.4409141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints PASSED [0.1692s] [ 58%] 2023-07-07T20:05:40.4409384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_if_fold PASSED [0.0498s] [ 58%] 2023-07-07T20:05:40.4409665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_1d PASSED [0.0051s] [ 58%] 2023-07-07T20:05:40.4409912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_add_if PASSED [0.0041s] [ 58%] 2023-07-07T20:05:40.4410162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal PASSED [0.0293s] [ 58%] 2023-07-07T20:05:40.4410412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_if PASSED [0.1539s] [ 58%] 2023-07-07T20:05:40.4410661Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2 PASSED [0.2755s] [ 58%] 2023-07-07T20:05:40.4410922Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular PASSED [0.0246s] [ 58%] 2023-07-07T20:05:40.4411186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter PASSED [0.0138s] [ 58%] 2023-07-07T20:05:40.4411463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter PASSED [0.0131s] [ 58%] 2023-07-07T20:05:40.4411741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index PASSED [0.0063s] [ 58%] 2023-07-07T20:05:40.4411987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic PASSED [0.0034s] [ 58%] 2023-07-07T20:05:40.4412285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop PASSED [0.0048s] [ 58%] 2023-07-07T20:05:40.4412548Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop PASSED [0.0037s] [ 58%] 2023-07-07T20:05:40.4412801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_list PASSED [0.0040s] [ 58%] 2023-07-07T20:05:40.4413135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop SKIPPED [0.0008s] (Unsupported opset_version: 13 < 14) [ 58%] 2023-07-07T20:05:40.4413384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero PASSED [0.0094s] [ 58%] 2023-07-07T20:05:40.4413641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero_qkv PASSED [0.0096s] [ 58%] 2023-07-07T20:05:40.4413921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model PASSED [0.0565s] [ 58%] 2023-07-07T20:05:40.4414197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm2d_runningstats PASSED [0.0429s] [ 58%] 2023-07-07T20:05:40.4414475Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats PASSED [0.2456s] [ 58%] 2023-07-07T20:05:40.4414736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training PASSED [0.1437s] [ 58%] 2023-07-07T20:05:40.4415075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer PASSED [0.1279s] [ 58%] 2023-07-07T20:05:40.4415340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample PASSED [0.2023s] [ 58%] 2023-07-07T20:05:40.4415585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_interpolate_no_shape PASSED [0.0057s] [ 58%] 2023-07-07T20:05:40.4415894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 13 > 8) [ 58%] 2023-07-07T20:05:40.4416140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_isinf PASSED [0.0050s] [ 58%] 2023-07-07T20:05:40.4416389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_kldiv_loss PASSED [0.1146s] [ 58%] 2023-07-07T20:05:40.4416634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_l1_norm PASSED [0.0083s] [ 58%] 2023-07-07T20:05:40.4416870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_le PASSED [0.0145s] [ 58%] 2023-07-07T20:05:40.4417118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_len_list PASSED [0.0033s] [ 58%] 2023-07-07T20:05:40.4417369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0341s] [ 58%] 2023-07-07T20:05:40.4417655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm PASSED [0.0988s] [ 58%] 2023-07-07T20:05:40.4417909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm PASSED [0.1640s] [ 58%] 2023-07-07T20:05:40.4418168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm PASSED [0.1344s] [ 58%] 2023-07-07T20:05:40.4418430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero PASSED [0.0082s] [ 58%] 2023-07-07T20:05:40.4418700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_linear PASSED [0.0157s] [ 58%] 2023-07-07T20:05:40.4418956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block PASSED [0.0056s] [ 58%] 2023-07-07T20:05:40.4419212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested PASSED [0.0063s] [ 58%] 2023-07-07T20:05:40.4419537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2 SKIPPED [0.0009s] (Unsupported opset_version: 13 < 14) [ 58%] 2023-07-07T20:05:40.4419813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype PASSED [0.0054s] [ 58%] 2023-07-07T20:05:40.4420056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_del PASSED [0.0053s] [ 58%] 2023-07-07T20:05:40.4420331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum PASSED [0.0055s] [ 58%] 2023-07-07T20:05:40.4420577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_pass PASSED [0.1200s] [ 58%] 2023-07-07T20:05:40.4420825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_list_pop PASSED [0.0057s] [ 58%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logical_and PASSED [0.0164s] [ 58%] 2023-07-07T20:05:40.4422531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logical_not PASSED [0.0142s] [ 58%] 2023-07-07T20:05:40.4422782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dim PASSED [0.0271s] [ 58%] 2023-07-07T20:05:40.4423066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype PASSED [0.0054s] [ 58%] 2023-07-07T20:05:40.4423315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_loop_dynamic PASSED [0.0035s] [ 58%] 2023-07-07T20:05:40.4423631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0032s] [ 58%] 2023-07-07T20:05:40.4424040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple PASSED [0.0105s] [ 58%] 2023-07-07T20:05:40.4424417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0053s] [ 58%] 2023-07-07T20:05:40.4424791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_3 PASSED [0.0110s] [ 58%] 2023-07-07T20:05:40.4425160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell PASSED [0.0382s] [ 58%] 2023-07-07T20:05:40.4425586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state PASSED [0.0283s] [ 58%] 2023-07-07T20:05:40.4425964Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_bias PASSED [0.1306s] [ 58%] 2023-07-07T20:05:40.4426329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence PASSED [0.0832s] [ 58%] 2023-07-07T20:05:40.4426735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_masked_select PASSED [0.0085s] [ 58%] 2023-07-07T20:05:40.4427110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_matmul_batch PASSED [0.0082s] [ 58%] 2023-07-07T20:05:40.4427482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_max_int PASSED [0.0060s] [ 58%] 2023-07-07T20:05:40.4427859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0041s] [ 58%] 2023-07-07T20:05:40.4428246Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil PASSED [0.0066s] [ 58%] 2023-07-07T20:05:40.4428634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil PASSED [0.0153s] [ 58%] 2023-07-07T20:05:40.4429024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_adaptive PASSED [0.0076s] [ 58%] 2023-07-07T20:05:40.4429425Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0092s] [ 58%] 2023-07-07T20:05:40.4429812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0071s] [ 58%] 2023-07-07T20:05:40.4430208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0108s] [ 58%] 2023-07-07T20:05:40.4430578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0147s] [ 58%] 2023-07-07T20:05:40.4430982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes PASSED [0.0157s] [ 58%] 2023-07-07T20:05:40.4431451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none SKIPPED [0.0009s] (Unsupported opset_version: 13 < 15) [ 58%] 2023-07-07T20:05:40.4431932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) 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[ 58%] 2023-07-07T20:05:40.4437781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 58%] 2023-07-07T20:05:40.4438124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 58%] 2023-07-07T20:05:40.4438440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 58%] 2023-07-07T20:05:40.4438796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 58%] 2023-07-07T20:05:40.4439049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes PASSED [0.0141s] [ 58%] 2023-07-07T20:05:40.4439311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_negative PASSED [0.0102s] [ 58%] 2023-07-07T20:05:40.4439600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pairwise_distance PASSED [0.0111s] [ 58%] 2023-07-07T20:05:40.4439859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.1614s] [ 58%] 2023-07-07T20:05:40.4440101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_pow PASSED [0.0330s] [ 58%] 2023-07-07T20:05:40.4440347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0253s] [ 58%] 2023-07-07T20:05:40.4440610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0052s] [ 58%] 2023-07-07T20:05:40.4440878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating PASSED [0.0070s] [ 58%] 2023-07-07T20:05:40.4441140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_integer PASSED [0.0051s] [ 58%] 2023-07-07T20:05:40.4441424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0192s] [ 58%] 2023-07-07T20:05:40.4441702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0130s] [ 58%] 2023-07-07T20:05:40.4442240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4442594Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4442676Z PASSED [0.0212s] [ 58%] 2023-07-07T20:05:40.4442913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d PASSED [0.0540s] [ 58%] 2023-07-07T20:05:40.4443194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu PASSED [0.0593s] [ 58%] 2023-07-07T20:05:40.4443452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel PASSED [0.0463s] [ 58%] 2023-07-07T20:05:40.4443725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d PASSED [0.0140s] [ 58%] 2023-07-07T20:05:40.4444024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point PASSED [0.0149s] [ 58%] 2023-07-07T20:05:40.4444312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale PASSED [0.0151s] [ 58%] 2023-07-07T20:05:40.4444703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d PASSED [0.0391s] [ 58%] 2023-07-07T20:05:40.4445024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0392s] [ 58%] 2023-07-07T20:05:40.4445278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d PASSED [0.0411s] [ 58%] 2023-07-07T20:05:40.4445533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d PASSED [0.0414s] [ 58%] 2023-07-07T20:05:40.4445789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear PASSED [0.0312s] [ 58%] 2023-07-07T20:05:40.4446067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid PASSED [0.0147s] [ 58%] 2023-07-07T20:05:40.4446336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm PASSED [0.0232s] [ 58%] 2023-07-07T20:05:40.4446593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu PASSED [0.0140s] [ 58%] 2023-07-07T20:05:40.4446876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish PASSED [0.0167s] [ 58%] 2023-07-07T20:05:40.4447158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu PASSED [0.0165s] [ 58%] 2023-07-07T20:05:40.4447442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0154s] [ 58%] 2023-07-07T20:05:40.4447743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu PASSED [0.0287s] [ 58%] 2023-07-07T20:05:40.4448011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select PASSED [0.0221s] [ 58%] 2023-07-07T20:05:40.4448279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid PASSED [0.0147s] [ 58%] 2023-07-07T20:05:40.4448548Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose PASSED [0.0199s] [ 58%] 2023-07-07T20:05:40.4448829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rand PASSED [0.0086s] [ 58%] 2023-07-07T20:05:40.4449081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rand_like PASSED [0.0112s] [ 58%] 2023-07-07T20:05:40.4449334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rand_like_dtype PASSED [0.0094s] [ 58%] 2023-07-07T20:05:40.4449619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0095s] [ 58%] 2023-07-07T20:05:40.4449868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0111s] [ 58%] 2023-07-07T20:05:40.4450111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0078s] [ 58%] 2023-07-07T20:05:40.4450362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0096s] [ 58%] 2023-07-07T20:05:40.4450642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max PASSED [0.0174s] [ 58%] 2023-07-07T20:05:40.4450893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod PASSED [0.0267s] [ 58%] 2023-07-07T20:05:40.4451151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum_dtypes PASSED [0.0108s] [ 58%] 2023-07-07T20:05:40.4451397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_relu_int PASSED [0.0048s] [ 58%] 2023-07-07T20:05:40.4451645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_remainder PASSED [0.0221s] [ 58%] 2023-07-07T20:05:40.4451905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave PASSED [0.0589s] [ 58%] 2023-07-07T20:05:40.4452160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_replication_pad PASSED [0.0234s] [ 58%] 2023-07-07T20:05:40.4452422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank PASSED [0.0060s] [ 58%] 2023-07-07T20:05:40.4453066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4453415Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4453760Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4453865Z PASSED [0.0558s] [ 58%] 2023-07-07T20:05:40.4454476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4454844Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4455186Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4455529Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4455629Z PASSED [0.0563s] [ 58%] 2023-07-07T20:05:40.4456242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4456581Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4456916Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4457258Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4457336Z PASSED [0.0563s] [ 58%] 2023-07-07T20:05:40.4457699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0434s] [ 58%] 2023-07-07T20:05:40.4458340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4458681Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4459018Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4459123Z PASSED [0.0510s] [ 58%] 2023-07-07T20:05:40.4459740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4460134Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4460468Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4460810Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4460918Z PASSED [0.0520s] [ 58%] 2023-07-07T20:05:40.4461531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4461870Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4462207Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4462549Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4462627Z PASSED [0.0513s] [ 58%] 2023-07-07T20:05:40.4462994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0381s] [ 58%] 2023-07-07T20:05:40.4463348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0382s] [ 58%] 2023-07-07T20:05:40.4463977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4464332Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4464682Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4464764Z PASSED [0.0450s] [ 58%] 2023-07-07T20:05:40.4465393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4465737Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4466079Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4466184Z PASSED [0.0444s] [ 58%] 2023-07-07T20:05:40.4466787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4467128Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4467469Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4467806Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4467885Z PASSED [0.0452s] [ 58%] 2023-07-07T20:05:40.4468239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0333s] [ 58%] 2023-07-07T20:05:40.4468866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4469211Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4469547Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4469911Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4469993Z PASSED [0.0401s] [ 58%] 2023-07-07T20:05:40.4470355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0277s] [ 58%] 2023-07-07T20:05:40.4470987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4471351Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4471687Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4471766Z PASSED [0.0363s] [ 59%] 2023-07-07T20:05:40.4472376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4472723Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4473047Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4473125Z PASSED [0.0359s] [ 59%] 2023-07-07T20:05:40.4473488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0242s] [ 59%] 2023-07-07T20:05:40.4474129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4474475Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4474931Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4475011Z PASSED [0.0304s] [ 59%] 2023-07-07T20:05:40.4475384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0188s] [ 59%] 2023-07-07T20:05:40.4475812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0183s] [ 59%] 2023-07-07T20:05:40.4476726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4477282Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4477799Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4477917Z PASSED [0.0318s] [ 59%] 2023-07-07T20:05:40.4478838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4479363Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4479878Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4479995Z PASSED [0.0316s] [ 59%] 2023-07-07T20:05:40.4480946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4481468Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4481981Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4482526Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4482643Z PASSED [0.0318s] [ 59%] 2023-07-07T20:05:40.4483168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0206s] [ 59%] 2023-07-07T20:05:40.4483738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0204s] [ 59%] 2023-07-07T20:05:40.4484752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4485334Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4485853Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4485969Z PASSED [0.0273s] [ 59%] 2023-07-07T20:05:40.4486886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4487404Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4487928Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4488272Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4488354Z PASSED [0.0269s] [ 59%] 2023-07-07T20:05:40.4489006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4489344Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4489711Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4490054Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4490133Z PASSED [0.0266s] [ 59%] 2023-07-07T20:05:40.4490524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0149s] [ 59%] 2023-07-07T20:05:40.4490882Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0147s] [ 59%] 2023-07-07T20:05:40.4491499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4491871Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4492209Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4492291Z PASSED [0.0557s] [ 59%] 2023-07-07T20:05:40.4492653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0438s] [ 59%] 2023-07-07T20:05:40.4493266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4493607Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4493979Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4494320Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4494384Z PASSED [0.0512s] [ 59%] 2023-07-07T20:05:40.4494740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0333s] [ 59%] 2023-07-07T20:05:40.4495375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4495739Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4496080Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4496191Z PASSED [0.0400s] [ 59%] 2023-07-07T20:05:40.4496793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4497128Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4497469Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4497811Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4497889Z PASSED [0.0400s] [ 59%] 2023-07-07T20:05:40.4498249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0276s] [ 59%] 2023-07-07T20:05:40.4498879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4499224Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4499561Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4499923Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4500001Z PASSED [0.0308s] [ 59%] 2023-07-07T20:05:40.4500620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4500990Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4501329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4501695Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4501772Z PASSED [0.0305s] [ 59%] 2023-07-07T20:05:40.4502125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0184s] [ 59%] 2023-07-07T20:05:40.4502727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4503086Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4503410Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4503487Z PASSED [0.0311s] [ 59%] 2023-07-07T20:05:40.4504118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4504462Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4504800Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4505182Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4505264Z PASSED [0.0319s] [ 59%] 2023-07-07T20:05:40.4505621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0210s] [ 59%] 2023-07-07T20:05:40.4506005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0203s] [ 59%] 2023-07-07T20:05:40.4506363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0154s] [ 59%] 2023-07-07T20:05:40.4506979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4507361Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4507700Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4507782Z PASSED [0.1150s] [ 59%] 2023-07-07T20:05:40.4508388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4508732Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4509074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4509447Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4509525Z PASSED [0.1168s] [ 59%] 2023-07-07T20:05:40.4510134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4510503Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4510843Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4511206Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4511273Z PASSED [0.1158s] [ 59%] 2023-07-07T20:05:40.4511633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1031s] [ 59%] 2023-07-07T20:05:40.4512245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4512610Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4512948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4513026Z PASSED [0.1112s] [ 59%] 2023-07-07T20:05:40.4513636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4513977Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4514314Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4514393Z PASSED [0.1108s] [ 59%] 2023-07-07T20:05:40.4515114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4515456Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4515827Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4516169Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4516249Z PASSED [0.1099s] [ 59%] 2023-07-07T20:05:40.4516649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0971s] [ 59%] 2023-07-07T20:05:40.4517261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4517631Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4517986Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4518066Z PASSED [0.0727s] [ 59%] 2023-07-07T20:05:40.4518736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4519258Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4519766Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4520274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4520378Z PASSED [0.0729s] [ 59%] 2023-07-07T20:05:40.4521327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4521839Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4522383Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4522895Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4523011Z PASSED [0.0726s] [ 59%] 2023-07-07T20:05:40.4523949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4524572Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4525144Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4525264Z PASSED [0.0684s] [ 59%] 2023-07-07T20:05:40.4526182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4526704Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4527266Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4527386Z PASSED [0.0682s] [ 59%] 2023-07-07T20:05:40.4528070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4528476Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4528820Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4529156Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4529269Z PASSED [0.0689s] [ 59%] 2023-07-07T20:05:40.4529880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4530250Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4530590Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4530693Z PASSED [0.0547s] [ 59%] 2023-07-07T20:05:40.4531044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0454s] [ 59%] 2023-07-07T20:05:40.4531660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4532014Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4532342Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4532419Z PASSED [0.0490s] [ 59%] 2023-07-07T20:05:40.4533033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4533394Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4533734Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4534070Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4534173Z PASSED [0.0493s] [ 59%] 2023-07-07T20:05:40.4534535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0373s] [ 59%] 2023-07-07T20:05:40.4534903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0375s] [ 59%] 2023-07-07T20:05:40.4535525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4535871Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4536246Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4536325Z PASSED [0.0412s] [ 59%] 2023-07-07T20:05:40.4536929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4537274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4537614Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4537692Z PASSED [0.0407s] [ 59%] 2023-07-07T20:05:40.4538294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4538669Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4539006Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4539343Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4539449Z PASSED [0.0415s] [ 59%] 2023-07-07T20:05:40.4540042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4540424Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4540748Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4540828Z PASSED [0.0361s] [ 59%] 2023-07-07T20:05:40.4541423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4541794Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4542129Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4542469Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4542553Z PASSED [0.0365s] [ 59%] 2023-07-07T20:05:40.4542907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0245s] [ 59%] 2023-07-07T20:05:40.4543514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4543884Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4544220Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4544300Z PASSED [0.1196s] [ 59%] 2023-07-07T20:05:40.4544900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4545267Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4545626Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4545965Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4546046Z PASSED [0.1198s] [ 59%] 2023-07-07T20:05:40.4546656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4547027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4547362Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4547439Z PASSED [0.1153s] [ 59%] 2023-07-07T20:05:40.4548049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4548387Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4548728Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4549116Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4549194Z PASSED [0.1168s] [ 59%] 2023-07-07T20:05:40.4549563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.1035s] [ 59%] 2023-07-07T20:05:40.4550157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4550524Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4550884Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4551221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4551301Z PASSED [0.0774s] [ 59%] 2023-07-07T20:05:40.4551903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4552274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4552618Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4552957Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4553035Z PASSED [0.0768s] [ 59%] 2023-07-07T20:05:40.4553394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0628s] [ 59%] 2023-07-07T20:05:40.4553989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4554362Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4554785Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4555122Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4555241Z PASSED [0.0728s] [ 59%] 2023-07-07T20:05:40.4555850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4556219Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4556559Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4556901Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4556995Z PASSED [0.0727s] [ 59%] 2023-07-07T20:05:40.4557841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4558356Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4558869Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4558985Z PASSED [0.0542s] [ 59%] 2023-07-07T20:05:40.4559902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4560415Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4560953Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4561466Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4561582Z PASSED [0.0543s] [ 59%] 2023-07-07T20:05:40.4562127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0417s] [ 59%] 2023-07-07T20:05:40.4562707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0416s] [ 59%] 2023-07-07T20:05:40.4563667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4564184Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4564829Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4564948Z PASSED [0.0478s] [ 59%] 2023-07-07T20:05:40.4565880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4566311Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4566656Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4566994Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4567073Z PASSED [0.0483s] [ 59%] 2023-07-07T20:05:40.4567738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4568082Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4568422Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4568518Z PASSED [0.0404s] [ 59%] 2023-07-07T20:05:40.4569120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4569460Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4569827Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4570167Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4570278Z PASSED [0.0406s] [ 59%] 2023-07-07T20:05:40.4570635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0290s] [ 59%] 2023-07-07T20:05:40.4571237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4571580Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4571926Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4572003Z PASSED [0.0350s] [ 59%] 2023-07-07T20:05:40.4572599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4572970Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4573308Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4573648Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4573753Z PASSED [0.0358s] [ 59%] 2023-07-07T20:05:40.4574357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4574723Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4575059Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4575396Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4575510Z PASSED [0.0420s] [ 59%] 2023-07-07T20:05:40.4575875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0263s] [ 59%] 2023-07-07T20:05:40.4576367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4576704Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4577029Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4577369Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4577709Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4578041Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4578402Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4578736Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4579069Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4579425Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4579758Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4580118Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4580450Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4580789Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.4580895Z PASSED [0.1426s] [ 59%] 2023-07-07T20:05:40.4581147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_roi_pool PASSED [0.0066s] [ 59%] 2023-07-07T20:05:40.4581393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_roll PASSED [0.0436s] [ 59%] 2023-07-07T20:05:40.4581642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_rrelu_eval PASSED [0.0057s] [ 59%] 2023-07-07T20:05:40.4581931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 59%] 2023-07-07T20:05:40.4582169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.0437s] [ 59%] 2023-07-07T20:05:40.4582411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter PASSED [0.0164s] [ 59%] 2023-07-07T20:05:40.4582757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0009s] (Unsupported opset_version: 13 < 16) [ 59%] 2023-07-07T20:05:40.4583095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 59%] 2023-07-07T20:05:40.4583471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 59%] 2023-07-07T20:05:40.4583782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 13 < 16) [ 59%] 2023-07-07T20:05:40.4584074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0007s] (Unsupported opset_version: 13 < 16) [ 59%] 2023-07-07T20:05:40.4584347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_select PASSED [0.0070s] [ 59%] 2023-07-07T20:05:40.4584610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0064s] [ 59%] 2023-07-07T20:05:40.4584871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_bool PASSED [0.0055s] [ 59%] 2023-07-07T20:05:40.4585123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int PASSED [0.0056s] [ 59%] 2023-07-07T20:05:40.4585394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr PASSED [0.0060s] [ 59%] 2023-07-07T20:05:40.4585640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2 PASSED [0.0066s] [ 59%] 2023-07-07T20:05:40.4585882Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3 PASSED [0.0069s] [ 59%] 2023-07-07T20:05:40.4586136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5 PASSED [0.0071s] [ 59%] 2023-07-07T20:05:40.4586398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list PASSED [0.0075s] [ 59%] 2023-07-07T20:05:40.4586637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_size PASSED [0.0351s] [ 59%] 2023-07-07T20:05:40.4586903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script PASSED [0.0187s] [ 59%] 2023-07-07T20:05:40.4587148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_slice_neg PASSED [0.0083s] [ 59%] 2023-07-07T20:05:40.4587416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index PASSED [0.0448s] [ 59%] 2023-07-07T20:05:40.4587663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_softplus PASSED [0.0174s] [ 59%] 2023-07-07T20:05:40.4587918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_spectral_norm PASSED [0.0116s] [ 59%] 2023-07-07T20:05:40.4588166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0054s] [ 59%] 2023-07-07T20:05:40.4588419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_script PASSED [0.0221s] [ 59%] 2023-07-07T20:05:40.4588676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list PASSED [0.0104s] [ 59%] 2023-07-07T20:05:40.4588967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice PASSED [0.0229s] [ 59%] 2023-07-07T20:05:40.4589229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0057s] [ 59%] 2023-07-07T20:05:40.4589471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0045s] [ 59%] 2023-07-07T20:05:40.4589762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0049s] [ 59%] 2023-07-07T20:05:40.4590011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0092s] [ 59%] 2023-07-07T20:05:40.4590273Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op PASSED [0.0049s] [ 59%] 2023-07-07T20:05:40.4590513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stack PASSED [0.0078s] [ 59%] 2023-07-07T20:05:40.4590786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stack_dynamic PASSED [0.0034s] [ 59%] 2023-07-07T20:05:40.4591036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim PASSED [0.0181s] [ 59%] 2023-07-07T20:05:40.4591293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0186s] [ 59%] 2023-07-07T20:05:40.4591636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4591928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4592221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0011s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4592515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_one_dimension SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4592825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4593124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4593415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4593720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4594040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4594341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 13 < 17) [ 59%] 2023-07-07T20:05:40.4594693Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0520s] [ 59%] 2023-07-07T20:05:40.4594969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 PASSED [0.0313s] [ 59%] 2023-07-07T20:05:40.4595282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1 PASSED [0.0080s] [ 59%] 2023-07-07T20:05:40.4595561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0452s] [ 59%] 2023-07-07T20:05:40.4595832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0273s] [ 59%] 2023-07-07T20:05:40.4596127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time PASSED [0.0736s] [ 59%] 2023-07-07T20:05:40.4596380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0082s] [ 59%] 2023-07-07T20:05:40.4596646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories_script PASSED [0.0070s] [ 59%] 2023-07-07T20:05:40.4596947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing PASSED [0.1050s] [ 59%] 2023-07-07T20:05:40.4597198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_split PASSED [0.0888s] [ 59%] 2023-07-07T20:05:40.4597449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes PASSED [0.0121s] [ 59%] 2023-07-07T20:05:40.4597708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_scalar PASSED [0.0134s] [ 59%] 2023-07-07T20:05:40.4597968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count PASSED [0.0187s] [ 59%] 2023-07-07T20:05:40.4598218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k PASSED [0.0080s] [ 59%] 2023-07-07T20:05:40.4598531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0033s] [ 59%] 2023-07-07T20:05:40.4598929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_topk_smallest_unsorted PASSED [0.0126s] [ 59%] 2023-07-07T20:05:40.4599303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0048s] [ 59%] 2023-07-07T20:05:40.4599727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tril SKIPPED [0.0009s] (Unsupported opset_version: 13 < 14) [ 59%] 2023-07-07T20:05:40.4600233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor SKIPPED [0.0008s] (Unsupported opset_version: 13 < 15) [ 59%] 2023-07-07T20:05:40.4600616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0056s] [ 59%] 2023-07-07T20:05:40.4601016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_tuple_primitive_input PASSED [0.0053s] [ 59%] 2023-07-07T20:05:40.4601386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unbind PASSED [0.0199s] [ 59%] 2023-07-07T20:05:40.4601788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unfold PASSED [0.0081s] [ 59%] 2023-07-07T20:05:40.4602170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unfold_infer_shape PASSED [0.0056s] [ 59%] 2023-07-07T20:05:40.4602570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic PASSED [0.0056s] [ 59%] 2023-07-07T20:05:40.4603060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_optional SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 59%] 2023-07-07T20:05:40.4603522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList SKIPPED [0.0008s] (Unsupported opset_version: 13 < 14) [ 59%] 2023-07-07T20:05:40.4603997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape SKIPPED [0.0007s] (Unsupported opset_version: 13 < 14) [ 59%] 2023-07-07T20:05:40.4604512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0057s] [ 59%] 2023-07-07T20:05:40.4604891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0138s] [ 59%] 2023-07-07T20:05:40.4605282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim PASSED [0.0174s] [ 59%] 2023-07-07T20:05:40.4605677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_var_mean_mixed_dims PASSED [0.0206s] [ 59%] 2023-07-07T20:05:40.4606048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_view PASSED [0.0053s] [ 59%] 2023-07-07T20:05:40.4606435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic PASSED [0.0174s] [ 59%] 2023-07-07T20:05:40.4606827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim PASSED [0.0074s] [ 59%] 2023-07-07T20:05:40.4607199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_where PASSED [0.0045s] [ 59%] 2023-07-07T20:05:40.4607687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script SKIPPED [0.0009s] (Skip verify test for unsupported opset_version) [ 59%] 2023-07-07T20:05:40.4608074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_where_with_bool_tensor PASSED [0.0059s] [ 59%] 2023-07-07T20:05:40.4608530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU PASSED [0.0994s] [ 59%] 2023-07-07T20:05:40.4608935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_13_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input PASSED [0.0093s] [ 59%] 2023-07-07T20:05:40.4609296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test__dim_arange PASSED [0.0206s] [ 59%] 2023-07-07T20:05:40.4609672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_add_inplace PASSED [0.0106s] [ 59%] 2023-07-07T20:05:40.4609917Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0144s] [ 59%] 2023-07-07T20:05:40.4610158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_all PASSED [0.0346s] [ 59%] 2023-07-07T20:05:40.4610465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 60%] 2023-07-07T20:05:40.4615643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4616175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4616796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4617411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4618022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4618179Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4618329Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4618479Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4618494Z 2023-07-07T20:05:40.4618583Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4618732Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4618878Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4619029Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4619037Z 2023-07-07T20:05:40.4619172Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4619319Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4619464Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4619614Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4619620Z 2023-07-07T20:05:40.4619625Z 2023-07-07T20:05:40.4619773Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4619917Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4620063Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4620212Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4620219Z 2023-07-07T20:05:40.4620362Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4620494Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4620637Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4620788Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4620793Z 2023-07-07T20:05:40.4620908Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4621055Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4621198Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4621458Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4622061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4622632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.4622781Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4623352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4623503Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4623647Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4623799Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4623805Z 2023-07-07T20:05:40.4623892Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4624036Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4624210Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4624361Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4624367Z 2023-07-07T20:05:40.4624501Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4624646Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4624792Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4624945Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4624951Z 2023-07-07T20:05:40.4624956Z 2023-07-07T20:05:40.4625100Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4625244Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4625390Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4625541Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4625548Z 2023-07-07T20:05:40.4625692Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4625825Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4625968Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4626118Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4626123Z 2023-07-07T20:05:40.4626209Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4626356Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4626500Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4626757Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4627357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4627673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_auto_grad SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4627912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0111s] [ 60%] 2023-07-07T20:05:40.4628212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0197s] [ 60%] 2023-07-07T20:05:40.4628537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0193s] [ 60%] 2023-07-07T20:05:40.4628788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.7312s] [ 60%] 2023-07-07T20:05:40.4629038Z 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[ 60%] 2023-07-07T20:05:40.4641863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor PASSED [0.0118s] [ 60%] 2023-07-07T20:05:40.4642151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fake_quantize_per_tensor_dynamic_scale_zeropoint PASSED [0.0113s] [ 60%] 2023-07-07T20:05:40.4642392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fill PASSED [0.0298s] [ 60%] 2023-07-07T20:05:40.4642637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_flatten2d PASSED [0.0096s] [ 60%] 2023-07-07T20:05:40.4642879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_flip PASSED [0.0108s] [ 60%] 2023-07-07T20:05:40.4643130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_floating_point PASSED [0.0261s] [ 60%] 2023-07-07T20:05:40.4643442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_floor_div SKIPPED [0.0002s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 60%] 2023-07-07T20:05:40.4643790Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 60%] 2023-07-07T20:05:40.4644038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fmod_scalar PASSED [0.0102s] [ 60%] 2023-07-07T20:05:40.4650103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_full_like PASSED [0.0100s] [ 60%] 2023-07-07T20:05:40.4650430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_full_script PASSED [0.0089s] [ 60%] 2023-07-07T20:05:40.4650755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_addmm PASSED [0.0098s] [ 60%] 2023-07-07T20:05:40.4651018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0291s] [ 60%] 2023-07-07T20:05:40.4651268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn2d PASSED [0.0329s] [ 60%] 2023-07-07T20:05:40.4651550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_bn3d PASSED [0.0475s] [ 60%] 2023-07-07T20:05:40.4651806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_fuse_conv_in_block PASSED [0.0433s] [ 60%] 2023-07-07T20:05:40.4652051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gather PASSED [0.0141s] [ 60%] 2023-07-07T20:05:40.4652357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gather_constant_fold SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4652641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_ge_scalar PASSED [0.0249s] [ 60%] 2023-07-07T20:05:40.4652885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_getitem PASSED [0.0185s] [ 60%] 2023-07-07T20:05:40.4653212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0013s] (Unsupported opset_version: 14 < 16) [ 60%] 2023-07-07T20:05:40.4653549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 14 < 16) [ 60%] 2023-07-07T20:05:40.4653884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 60%] 2023-07-07T20:05:40.4654211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 60%] 2023-07-07T20:05:40.4654537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 60%] 2023-07-07T20:05:40.4654866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 60%] 2023-07-07T20:05:40.4655217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0018s] (Unsupported opset_version: 14 < 16) [ 60%] 2023-07-07T20:05:40.4655482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gru_constant_folding PASSED [0.2300s] [ 60%] 2023-07-07T20:05:40.4655720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gt PASSED [0.0326s] [ 60%] 2023-07-07T20:05:40.4655993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_gt_scalar PASSED [0.0179s] [ 60%] 2023-07-07T20:05:40.4656299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hann_window_default_values SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4656558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hann_window_periodic PASSED [0.0165s] [ 60%] 2023-07-07T20:05:40.4656834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardshrink PASSED [0.0264s] [ 60%] 2023-07-07T20:05:40.4657083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardsigmoid PASSED [0.0165s] [ 60%] 2023-07-07T20:05:40.4657329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0161s] [ 60%] 2023-07-07T20:05:40.4657583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardswish_script PASSED [0.0068s] [ 60%] 2023-07-07T20:05:40.4657890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values PASSED [0.0084s] [ 60%] 2023-07-07T20:05:40.4658150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_heatmaps_to_keypoints PASSED [0.1692s] [ 60%] 2023-07-07T20:05:40.4658387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_if_list PASSED [0.0122s] [ 60%] 2023-07-07T20:05:40.4658622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_if_transpose PASSED [0.0126s] [ 60%] 2023-07-07T20:05:40.4658862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_1d PASSED [0.0102s] [ 60%] 2023-07-07T20:05:40.4659122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_2d_1dimslice PASSED [0.0143s] [ 60%] 2023-07-07T20:05:40.4659373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_2d_sliceint PASSED [0.0129s] [ 60%] 2023-07-07T20:05:40.4659637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_add_dim_size_differ PASSED [0.0131s] [ 60%] 2023-07-07T20:05:40.4659880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_add_if PASSED [0.0160s] [ 60%] 2023-07-07T20:05:40.4660129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_add_normal PASSED [0.0358s] [ 60%] 2023-07-07T20:05:40.4660403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_copy PASSED [0.0162s] [ 60%] 2023-07-07T20:05:40.4660648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_mask PASSED [0.0222s] [ 60%] 2023-07-07T20:05:40.4660896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_mask_nd PASSED [0.0120s] [ 60%] 2023-07-07T20:05:40.4661136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put PASSED [0.0140s] [ 60%] 2023-07-07T20:05:40.4661419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_accumulate PASSED [0.0150s] [ 60%] 2023-07-07T20:05:40.4661707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 60%] 2023-07-07T20:05:40.4661954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_if PASSED [0.1535s] [ 60%] 2023-07-07T20:05:40.4662223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_if_4 PASSED [0.0955s] [ 60%] 2023-07-07T20:05:40.4662467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_loop PASSED [1.6638s] [ 60%] 2023-07-07T20:05:40.4662720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_singular PASSED [0.0350s] [ 60%] 2023-07-07T20:05:40.4663029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter PASSED [0.0175s] [ 60%] 2023-07-07T20:05:40.4663299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index PASSED [0.0107s] [ 60%] 2023-07-07T20:05:40.4663562Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0189s] [ 60%] 2023-07-07T20:05:40.4663825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop PASSED [0.0503s] [ 60%] 2023-07-07T20:05:40.4664085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_attr_with_loop PASSED [0.0221s] [ 60%] 2023-07-07T20:05:40.4664333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_inplace_fill 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_norunningstats PASSED [0.1189s] [ 60%] 2023-07-07T20:05:40.4665901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats PASSED [0.0807s] [ 60%] 2023-07-07T20:05:40.4666174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.3458s] [ 60%] 2023-07-07T20:05:40.4666438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats PASSED [0.3238s] [ 60%] 2023-07-07T20:05:40.4666727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_instancenorm_training PASSED [0.3167s] [ 60%] 2023-07-07T20:05:40.4666991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample PASSED [0.4341s] [ 60%] 2023-07-07T20:05:40.4667268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution PASSED [0.0239s] [ 60%] 2023-07-07T20:05:40.4667558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample PASSED [0.3910s] [ 60%] 2023-07-07T20:05:40.4667863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0010s] (Unsupported opset_version: 14 > 8) [ 60%] 2023-07-07T20:05:40.4668108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_isfinite PASSED [0.0104s] [ 60%] 2023-07-07T20:05:40.4668381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_isinf PASSED [0.0088s] [ 60%] 2023-07-07T20:05:40.4668611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss PASSED [0.2153s] [ 60%] 2023-07-07T20:05:40.4668853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0182s] [ 60%] 2023-07-07T20:05:40.4669091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_l2_norm PASSED [0.0178s] [ 60%] 2023-07-07T20:05:40.4669335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0165s] [ 60%] 2023-07-07T20:05:40.4669572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_le PASSED [0.0326s] [ 60%] 2023-07-07T20:05:40.4669817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_le_scalar PASSED [0.0186s] [ 60%] 2023-07-07T20:05:40.4670069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_matrix_norm PASSED [0.1390s] [ 60%] 2023-07-07T20:05:40.4670312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_norm PASSED [0.2363s] [ 60%] 2023-07-07T20:05:40.4670566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm PASSED [0.1904s] [ 60%] 2023-07-07T20:05:40.4670827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero PASSED [0.0115s] [ 60%] 2023-07-07T20:05:40.4671093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list PASSED [0.0247s] [ 60%] 2023-07-07T20:05:40.4671357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_append_in_nested_block PASSED [0.0265s] [ 60%] 2023-07-07T20:05:40.4671627Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_list_append_nested_mixed_dtype PASSED [0.0322s] [ 60%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_loop_multi_dim PASSED [0.0231s] [ 60%] 2023-07-07T20:05:40.4675960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_loop_nested PASSED [0.0613s] [ 60%] 2023-07-07T20:05:40.4676210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_2 PASSED [0.0115s] [ 60%] 2023-07-07T20:05:40.4676485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0312s] [ 60%] 2023-07-07T20:05:40.4676729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_lstm_cell PASSED [0.0669s] [ 60%] 2023-07-07T20:05:40.4676992Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_max_int PASSED [0.0432s] [ 61%] 2023-07-07T20:05:40.4679774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maximum_dtypes PASSED [0.0332s] [ 61%] 2023-07-07T20:05:40.4680021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0116s] [ 61%] 2023-07-07T20:05:40.4680265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_2d PASSED [0.0138s] [ 61%] 2023-07-07T20:05:40.4680519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_dilation PASSED [0.0142s] [ 61%] 2023-07-07T20:05:40.4680774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0182s] [ 61%] 2023-07-07T20:05:40.4681001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_min_int PASSED [0.0495s] [ 61%] 2023-07-07T20:05:40.4681249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_minimum_dtypes PASSED [0.0338s] [ 61%] 2023-07-07T20:05:40.4681489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_mish PASSED [0.0100s] [ 61%] 2023-07-07T20:05:40.4681834Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0009s] (Unsupported opset_version: 14 < 15) [ 61%] 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[ 61%] 2023-07-07T20:05:40.4733832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4734234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4734620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4735035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4735432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4735862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4736268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4736689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4737086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4737483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4737879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4738275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4738670Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4739081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4739473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4739897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4740290Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4740716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4741104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 61%] 2023-07-07T20:05:40.4741508Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned SKIPPED [0.0008s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 61%] 2023-07-07T20:05:40.4741750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_round PASSED [0.0095s] [ 61%] 2023-07-07T20:05:40.4741993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0139s] [ 61%] 2023-07-07T20:05:40.4742239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0127s] [ 61%] 2023-07-07T20:05:40.4742521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 61%] 2023-07-07T20:05:40.4742762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0220s] [ 61%] 2023-07-07T20:05:40.4743100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0010s] (Unsupported opset_version: 14 < 16) [ 61%] 2023-07-07T20:05:40.4743437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 61%] 2023-07-07T20:05:40.4743773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 61%] 2023-07-07T20:05:40.4744104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 62%] 2023-07-07T20:05:40.4744378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0121s] [ 62%] 2023-07-07T20:05:40.4744640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0130s] [ 62%] 2023-07-07T20:05:40.4744916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_int PASSED [0.0236s] [ 62%] 2023-07-07T20:05:40.4745158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0160s] [ 62%] 2023-07-07T20:05:40.4745403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0318s] [ 62%] 2023-07-07T20:05:40.4745648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_4 PASSED [0.0268s] [ 62%] 2023-07-07T20:05:40.4745931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop_with_list PASSED [0.0463s] [ 62%] 2023-07-07T20:05:40.4746183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0505s] [ 62%] 2023-07-07T20:05:40.4746438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0709s] [ 62%] 2023-07-07T20:05:40.4746693Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_size PASSED [0.0328s] [ 62%] 2023-07-07T20:05:40.4746982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4747228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0121s] [ 62%] 2023-07-07T20:05:40.4747469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_softmax PASSED [0.1235s] [ 62%] 2023-07-07T20:05:40.4747717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0319s] [ 62%] 2023-07-07T20:05:40.4747975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype PASSED [0.0114s] [ 62%] 2023-07-07T20:05:40.4748271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_split_size_as_list SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4748526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0008s] [ 62%] 2023-07-07T20:05:40.4748763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_square PASSED [0.0094s] [ 62%] 2023-07-07T20:05:40.4749008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0102s] [ 62%] 2023-07-07T20:05:40.4749281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic PASSED [0.0127s] [ 62%] 2023-07-07T20:05:40.4749533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim PASSED [0.0104s] [ 62%] 2023-07-07T20:05:40.4749779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg PASSED [0.0133s] [ 62%] 2023-07-07T20:05:40.4750011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0130s] [ 62%] 2023-07-07T20:05:40.4750313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0366s] [ 62%] 2023-07-07T20:05:40.4750550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std PASSED [0.0238s] [ 62%] 2023-07-07T20:05:40.4750802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0269s] [ 62%] 2023-07-07T20:05:40.4751046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0168s] [ 62%] 2023-07-07T20:05:40.4751315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0273s] [ 62%] 2023-07-07T20:05:40.4751571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0161s] [ 62%] 2023-07-07T20:05:40.4751860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4752181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4752483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4752770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4753065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4753360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4753658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4753945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0009s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4754240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4754564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 62%] 2023-07-07T20:05:40.4754891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_sum PASSED [0.0101s] [ 62%] 2023-07-07T20:05:40.4755169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange PASSED [0.0590s] [ 62%] 2023-07-07T20:05:40.4755442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0455s] [ 62%] 2023-07-07T20:05:40.4755743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if PASSED [0.0212s] [ 62%] 2023-07-07T20:05:40.4756018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0784s] [ 62%] 2023-07-07T20:05:40.4756286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0429s] [ 62%] 2023-07-07T20:05:40.4756559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0154s] [ 62%] 2023-07-07T20:05:40.4756806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor PASSED [0.0844s] [ 62%] 2023-07-07T20:05:40.4757065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories PASSED [0.0217s] [ 62%] 2023-07-07T20:05:40.4757334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing PASSED [0.0855s] [ 62%] 2023-07-07T20:05:40.4757641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0262s] [ 62%] 2023-07-07T20:05:40.4757878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_split PASSED [0.0674s] [ 62%] 2023-07-07T20:05:40.4758134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar PASSED [0.0169s] [ 62%] 2023-07-07T20:05:40.4758389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count PASSED [0.0265s] [ 62%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0112s] [ 62%] 2023-07-07T20:05:40.4760159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted PASSED [0.0184s] [ 62%] 2023-07-07T20:05:40.4760400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0107s] [ 62%] 2023-07-07T20:05:40.4760696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4760945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tril PASSED [0.0503s] [ 62%] 2023-07-07T20:05:40.4761184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_triu PASSED [0.0501s] [ 62%] 2023-07-07T20:05:40.4761433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0127s] [ 62%] 2023-07-07T20:05:40.4761712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tuple_output_from_if_with_raised_exception PASSED [0.0214s] [ 62%] 2023-07-07T20:05:40.4762237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_tuple_with_none_outputs SKIPPED [0.0013s] (Skip verify test for TorchScript. In trace: Outputs that are always None are removed. In script: Outputs that are always None are removed before opset 15. After opset 15, we replace the None in output with Optional node.) [ 62%] 2023-07-07T20:05:40.4762483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unbind PASSED [0.0499s] [ 62%] 2023-07-07T20:05:40.4762759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unbind_dynamic PASSED [0.0242s] [ 62%] 2023-07-07T20:05:40.4762995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unfold PASSED [0.0181s] [ 62%] 2023-07-07T20:05:40.4763250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0654s] [ 62%] 2023-07-07T20:05:40.4763510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0412s] [ 62%] 2023-07-07T20:05:40.4763775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_intList PASSED [0.0405s] [ 62%] 2023-07-07T20:05:40.4764080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional SKIPPED [0.0014s] (Unsupported opset_version: 14 < 16) [ 62%] 2023-07-07T20:05:40.4764344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList PASSED [0.0239s] [ 62%] 2023-07-07T20:05:40.4764757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic PASSED [0.0613s] [ 62%] 2023-07-07T20:05:40.4765034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape PASSED [0.0434s] [ 62%] 2023-07-07T20:05:40.4765269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim PASSED [0.0116s] [ 62%] 2023-07-07T20:05:40.4765616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unsafe_chunk SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4765868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0102s] [ 62%] 2023-07-07T20:05:40.4766160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_unsupported_pad SKIPPED [0.0009s] (Unsupported opset_version: 14 > 10) [ 62%] 2023-07-07T20:05:40.4766429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var PASSED [0.1703s] [ 62%] 2023-07-07T20:05:40.4766680Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0170s] [ 62%] 2023-07-07T20:05:40.4766928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0284s] [ 62%] 2023-07-07T20:05:40.4767171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0249s] [ 62%] 2023-07-07T20:05:40.4767458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims PASSED [0.0277s] [ 62%] 2023-07-07T20:05:40.4767716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction PASSED [0.0163s] [ 62%] 2023-07-07T20:05:40.4767972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0354s] [ 62%] 2023-07-07T20:05:40.4768250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_view_as PASSED [0.0099s] [ 62%] 2023-07-07T20:05:40.4768483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_view_dynamic PASSED [0.0184s] [ 62%] 2023-07-07T20:05:40.4768773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 62%] 2023-07-07T20:05:40.4769316Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_where PASSED [0.0101s] [ 62%] 2023-07-07T20:05:40.4769578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_where_with_bool_tensor PASSED [0.0482s] [ 62%] 2023-07-07T20:05:40.4769836Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_where_with_byte_tensor PASSED [0.0111s] [ 62%] 2023-07-07T20:05:40.4770098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.1399s] [ 62%] 2023-07-07T20:05:40.4770403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_LSTM SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4770671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.0957s] [ 62%] 2023-07-07T20:05:40.4770958Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0965s] [ 62%] 2023-07-07T20:05:40.4771263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4771509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0218s] [ 62%] 2023-07-07T20:05:40.4771779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0107s] [ 62%] 2023-07-07T20:05:40.4772021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0151s] [ 62%] 2023-07-07T20:05:40.4772251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_all PASSED [0.0358s] [ 62%] 2023-07-07T20:05:40.4772496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_amax_amin PASSED [0.0121s] [ 62%] 2023-07-07T20:05:40.4772806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_and_or_xor PASSED [0.0125s] [ 62%] 2023-07-07T20:05:40.4773184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_end PASSED [0.0268s] [ 62%] 2023-07-07T20:05:40.4773572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_end_notype PASSED [0.0397s] [ 62%] 2023-07-07T20:05:40.4773978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_out PASSED [0.0129s] [ 62%] 2023-07-07T20:05:40.4774380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype PASSED [0.0301s] [ 62%] 2023-07-07T20:05:40.4774764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out PASSED [0.0283s] [ 62%] 2023-07-07T20:05:40.4775147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax PASSED [0.0226s] [ 62%] 2023-07-07T20:05:40.4775560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index PASSED [0.0437s] [ 62%] 2023-07-07T20:05:40.4775938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_argsort PASSED [0.0118s] [ 62%] 2023-07-07T20:05:40.4776413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision SKIPPED [0.0009s] (Unsupported opset_version: 14 > 13) [ 62%] 2023-07-07T20:05:40.4776813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0495s] [ 62%] 2023-07-07T20:05:40.4777198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0617s] [ 62%] 2023-07-07T20:05:40.4777590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0641s] [ 62%] 2023-07-07T20:05:40.4778577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4779542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4780399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.4780638Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.4780768Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.4780782Z 2023-07-07T20:05:40.4780984Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.4781187Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.4781561Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4782458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4782686Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4782890Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4783113Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4783122Z 2023-07-07T20:05:40.4783283Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4783500Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4783722Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4783945Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4783953Z 2023-07-07T20:05:40.4784177Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4784397Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4784609Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4784832Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4784841Z 2023-07-07T20:05:40.4784851Z 2023-07-07T20:05:40.4785036Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4785181Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4785327Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4785480Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4785485Z 2023-07-07T20:05:40.4785632Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4785775Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4785908Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4786054Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4786060Z 2023-07-07T20:05:40.4786147Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4786291Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4786433Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4786695Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4787286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.4787429Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.4787513Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.4787518Z 2023-07-07T20:05:40.4787637Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.4787771Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.4788016Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4788575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4788752Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4788899Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4789049Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4789055Z 2023-07-07T20:05:40.4789143Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4789289Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4789421Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4789597Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4789603Z 2023-07-07T20:05:40.4789751Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4789897Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4790047Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4790198Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4790203Z 2023-07-07T20:05:40.4790208Z 2023-07-07T20:05:40.4790380Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4790521Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4790656Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4790805Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4790810Z 2023-07-07T20:05:40.4790954Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4791098Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4791246Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4791394Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4791401Z 2023-07-07T20:05:40.4791488Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4791635Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4791764Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4792019Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4792631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4793248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4793785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.4793964Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4794515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.4794727Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.4794816Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.4794821Z 2023-07-07T20:05:40.4794955Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.4795124Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.4795370Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 62%] 2023-07-07T20:05:40.4795613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0130s] [ 62%] 2023-07-07T20:05:40.4795924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0144s] [ 62%] 2023-07-07T20:05:40.4796258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0209s] [ 62%] 2023-07-07T20:05:40.4796555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0156s] [ 62%] 2023-07-07T20:05:40.4796856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0161s] [ 62%] 2023-07-07T20:05:40.4797183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0159s] [ 62%] 2023-07-07T20:05:40.4797435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_avgpool_3d_ceil PASSED [0.4960s] [ 62%] 2023-07-07T20:05:40.4797684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_baddbmm PASSED [0.0151s] [ 62%] 2023-07-07T20:05:40.4797934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batched_nms PASSED [0.1073s] [ 62%] 2023-07-07T20:05:40.4798180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d PASSED [0.0249s] [ 62%] 2023-07-07T20:05:40.4798446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0250s] [ 62%] 2023-07-07T20:05:40.4798719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0495s] [ 62%] 2023-07-07T20:05:40.4798980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0203s] [ 62%] 2023-07-07T20:05:40.4799230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d PASSED [0.1575s] [ 62%] 2023-07-07T20:05:40.4799476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine PASSED [0.1424s] [ 62%] 2023-07-07T20:05:40.4799796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer PASSED [0.1645s] [ 62%] 2023-07-07T20:05:40.4800045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_bernoulli PASSED [0.0229s] [ 62%] 2023-07-07T20:05:40.4800293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_bernoulli_p PASSED [0.0447s] [ 62%] 2023-07-07T20:05:40.4800540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_bitshift_uint8 PASSED [0.0154s] [ 62%] 2023-07-07T20:05:40.4800823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_broad_cast_tensors PASSED [0.0358s] [ 62%] 2023-07-07T20:05:40.4801090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 PASSED [0.0116s] [ 62%] 2023-07-07T20:05:40.4801328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_cdist PASSED [0.0161s] [ 62%] 2023-07-07T20:05:40.4801594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_clamp PASSED [0.0305s] [ 62%] 2023-07-07T20:05:40.4801839Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4817493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4817997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4818522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_True 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4821077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4821477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_groupnorm_noaffine PASSED [0.1654s] [ 63%] 2023-07-07T20:05:40.4821838Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_gru_no_bias PASSED [0.2211s] [ 63%] 2023-07-07T20:05:40.4822216Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_if_list PASSED [0.0113s] [ 63%] 2023-07-07T20:05:40.4825206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_1d PASSED [0.0099s] [ 63%] 2023-07-07T20:05:40.4825464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_2d_1dimslice PASSED [0.0145s] [ 63%] 2023-07-07T20:05:40.4825716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_2d_neg_slice PASSED [0.0146s] [ 63%] 2023-07-07T20:05:40.4826003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0155s] [ 63%] 2023-07-07T20:05:40.4826255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_add_in_loop PASSED [0.0290s] [ 63%] 2023-07-07T20:05:40.4826503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_fill PASSED [0.0180s] [ 63%] 2023-07-07T20:05:40.4826753Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_mask_nd PASSED [0.0127s] [ 63%] 2023-07-07T20:05:40.4827030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put PASSED [0.0143s] [ 63%] 2023-07-07T20:05:40.4827335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_ellipsis SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4827585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2 PASSED [0.3817s] [ 63%] 2023-07-07T20:05:40.4827859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_4 PASSED [0.1313s] [ 63%] 2023-07-07T20:05:40.4828098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5 PASSED [0.1043s] [ 63%] 2023-07-07T20:05:40.4828361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_fill PASSED [0.0189s] [ 63%] 2023-07-07T20:05:40.4828613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter PASSED [0.0191s] [ 63%] 2023-07-07T20:05:40.4828868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic PASSED [0.0102s] [ 63%] 2023-07-07T20:05:40.4829133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half PASSED [0.0198s] [ 63%] 2023-07-07T20:05:40.4829392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_with_loop PASSED [0.0233s] [ 63%] 2023-07-07T20:05:40.4829641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_fill PASSED [0.0193s] [ 63%] 2023-07-07T20:05:40.4829894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop PASSED [0.0163s] [ 63%] 2023-07-07T20:05:40.4830156Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop_2 PASSED [0.1976s] [ 63%] 2023-07-07T20:05:40.4830438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero PASSED [0.0189s] [ 63%] 2023-07-07T20:05:40.4830690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero_qkv PASSED [0.0145s] [ 63%] 2023-07-07T20:05:40.4830941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_input_mask_model PASSED [0.1276s] [ 63%] 2023-07-07T20:05:40.4831216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats PASSED [0.0678s] [ 63%] 2023-07-07T20:05:40.4831512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats PASSED [0.2836s] [ 63%] 2023-07-07T20:05:40.4831785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_instancenorm3d_runningstats PASSED [0.2883s] [ 63%] 2023-07-07T20:05:40.4832090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error SKIPPED [0.0010s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss PASSED [0.2237s] [ 63%] 2023-07-07T20:05:40.4833735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_len PASSED [0.0110s] [ 63%] 2023-07-07T20:05:40.4833985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0390s] [ 63%] 2023-07-07T20:05:40.4834238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm PASSED [0.1889s] [ 63%] 2023-07-07T20:05:40.4834482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_linear PASSED [0.0331s] [ 63%] 2023-07-07T20:05:40.4834804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list PASSED [0.0239s] [ 63%] 2023-07-07T20:05:40.4835056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_append PASSED [0.0215s] [ 63%] 2023-07-07T20:05:40.4835309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested PASSED [0.0266s] [ 63%] 2023-07-07T20:05:40.4835543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_del PASSED [0.0226s] [ 63%] 2023-07-07T20:05:40.4835829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_list_del_in_block PASSED [0.0320s] [ 63%] 2023-07-07T20:05:40.4836077Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_2d_ceil PASSED [0.0765s] [ 63%] 2023-07-07T20:05:40.4845417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_3d_ceil PASSED [0.4818s] [ 63%] 2023-07-07T20:05:40.4845674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_adaptive PASSED [0.0136s] [ 63%] 2023-07-07T20:05:40.4845938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0199s] [ 63%] 2023-07-07T20:05:40.4846193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0130s] [ 63%] 2023-07-07T20:05:40.4846451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0181s] [ 63%] 2023-07-07T20:05:40.4846753Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_min_int PASSED [0.0536s] [ 63%] 2023-07-07T20:05:40.4847053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4847301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0234s] [ 63%] 2023-07-07T20:05:40.4847542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_movedim PASSED [0.0228s] [ 63%] 2023-07-07T20:05:40.4847821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0350s] [ 63%] 2023-07-07T20:05:40.4848075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nan_to_num PASSED [0.0709s] [ 63%] 2023-07-07T20:05:40.4848340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0431s] [ 63%] 2023-07-07T20:05:40.4848758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nested_tuple_output PASSED [0.0113s] [ 63%] 2023-07-07T20:05:40.4849126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_new_full PASSED [0.0320s] [ 63%] 2023-07-07T20:05:40.4849501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_new_zeros PASSED [0.0297s] [ 63%] 2023-07-07T20:05:40.4849900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index PASSED [0.0265s] [ 63%] 2023-07-07T20:05:40.4850353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights PASSED [0.0344s] [ 63%] 2023-07-07T20:05:40.4850760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index PASSED [0.0657s] [ 63%] 2023-07-07T20:05:40.4851222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness SKIPPED [0.0014s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4851609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0216s] [ 63%] 2023-07-07T20:05:40.4851988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0181s] [ 63%] 2023-07-07T20:05:40.4852355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_one_hot PASSED [0.0413s] [ 63%] 2023-07-07T20:05:40.4852826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0 SKIPPED [0.0013s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4853294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1 SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4853767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0 SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4854269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4854731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0011s] (Unsupported opset_version: 14 < 16) [ 63%] 2023-07-07T20:05:40.4855097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_outer PASSED [0.0410s] [ 63%] 2023-07-07T20:05:40.4855507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pad_circular PASSED [0.0158s] [ 63%] 2023-07-07T20:05:40.4855905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pad_circular_negative PASSED [0.0115s] [ 63%] 2023-07-07T20:05:40.4856304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_list PASSED [0.0191s] [ 63%] 2023-07-07T20:05:40.4856725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pairwise_distance PASSED [0.0107s] [ 63%] 2023-07-07T20:05:40.4857117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.2351s] [ 63%] 2023-07-07T20:05:40.4857497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0264s] [ 63%] 2023-07-07T20:05:40.4857880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_pixel_unshuffle PASSED [0.0347s] [ 63%] 2023-07-07T20:05:40.4858280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_prelu PASSED [0.0149s] [ 63%] 2023-07-07T20:05:40.4858685Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0104s] [ 63%] 2023-07-07T20:05:40.4859038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0449s] [ 63%] 2023-07-07T20:05:40.4859385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0145s] [ 63%] 2023-07-07T20:05:40.4859652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_floating PASSED [0.0132s] [ 63%] 2023-07-07T20:05:40.4859918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer PASSED [0.0130s] [ 63%] 2023-07-07T20:05:40.4860197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0178s] [ 63%] 2023-07-07T20:05:40.4860449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_avg_pool2d PASSED [0.0336s] [ 63%] 2023-07-07T20:05:40.4860705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu_fused PASSED [0.0640s] [ 63%] 2023-07-07T20:05:40.4860963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel PASSED [0.0500s] [ 63%] 2023-07-07T20:05:40.4861249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_maxpool2d PASSED [0.0336s] [ 63%] 2023-07-07T20:05:40.4861492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_qat_relu PASSED [0.0299s] [ 63%] 2023-07-07T20:05:40.4861751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor PASSED [0.0193s] [ 63%] 2023-07-07T20:05:40.4862009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0279s] [ 63%] 2023-07-07T20:05:40.4862356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4862689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4863048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4863293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0383s] [ 63%] 2023-07-07T20:05:40.4863552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0399s] [ 63%] 2023-07-07T20:05:40.4863846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d PASSED [0.1158s] [ 63%] 2023-07-07T20:05:40.4864097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_linear PASSED [0.0336s] [ 63%] 2023-07-07T20:05:40.4864485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 63%] 2023-07-07T20:05:40.4864799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4865118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4865425Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4865735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 63%] 2023-07-07T20:05:40.4865988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rand_like_dtype PASSED [0.0640s] [ 63%] 2023-07-07T20:05:40.4866233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn PASSED [0.0188s] [ 63%] 2023-07-07T20:05:40.4866513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0640s] [ 63%] 2023-07-07T20:05:40.4866769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0172s] [ 63%] 2023-07-07T20:05:40.4867014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0251s] [ 63%] 2023-07-07T20:05:40.4867266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_randn_like_dtype PASSED [0.0430s] [ 63%] 2023-07-07T20:05:40.4867524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0234s] [ 63%] 2023-07-07T20:05:40.4867775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0187s] [ 63%] 2023-07-07T20:05:40.4868023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_min_max PASSED [0.0369s] [ 63%] 2023-07-07T20:05:40.4868300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum PASSED [0.0993s] [ 63%] 2023-07-07T20:05:40.4868556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reduced_sum_dtypes PASSED [0.0281s] [ 63%] 2023-07-07T20:05:40.4868818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave PASSED [0.1130s] [ 64%] 2023-07-07T20:05:40.4869081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0218s] [ 64%] 2023-07-07T20:05:40.4869630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 64%] 2023-07-07T20:05:40.4869894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_reshape_constant_fold PASSED [0.0133s] [ 64%] 2023-07-07T20:05:40.4870144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_resize_images PASSED [0.0972s] [ 64%] 2023-07-07T20:05:40.4870558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 64%] 2023-07-07T20:05:40.4870969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 64%] 2023-07-07T20:05:40.4871380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) 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[ 64%] 2023-07-07T20:05:40.4908065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_roi_align_aligned SKIPPED [0.0008s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 64%] 2023-07-07T20:05:40.4908425Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_roi_pool SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 64%] 2023-07-07T20:05:40.4908695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_roll PASSED [0.0552s] [ 64%] 2023-07-07T20:05:40.4908944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_round PASSED [0.0095s] [ 64%] 2023-07-07T20:05:40.4909224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 64%] 2023-07-07T20:05:40.4909501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.1799s] [ 64%] 2023-07-07T20:05:40.4909746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add PASSED [0.0233s] [ 64%] 2023-07-07T20:05:40.4910065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src SKIPPED [0.0009s] (Unsupported opset_version: 14 < 16) [ 64%] 2023-07-07T20:05:40.4910431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0009s] (Unsupported opset_version: 14 < 16) [ 64%] 2023-07-07T20:05:40.4910770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 64%] 2023-07-07T20:05:40.4911110Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 64%] 2023-07-07T20:05:40.4911521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 64%] 2023-07-07T20:05:40.4911961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0496s] [ 64%] 2023-07-07T20:05:40.4916672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0639s] [ 64%] 2023-07-07T20:05:40.4917041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_size PASSED [0.0315s] [ 64%] 2023-07-07T20:05:40.4917435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script PASSED [0.0108s] [ 64%] 2023-07-07T20:05:40.4917829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_slice_trace PASSED [0.0119s] [ 64%] 2023-07-07T20:05:40.4918289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_True_keep_initializers_as_inputs_False::test_slice_with_1d_input_index SKIPPED [0.0010s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0144s] [ 64%] 2023-07-07T20:05:40.4937241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype PASSED [0.0203s] [ 64%] 2023-07-07T20:05:40.4937492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_no_type PASSED [0.0091s] [ 64%] 2023-07-07T20:05:40.4937752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0137s] [ 65%] 2023-07-07T20:05:40.4938013Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype PASSED [0.0132s] [ 65%] 2023-07-07T20:05:40.4938271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats PASSED [0.0524s] [ 65%] 2023-07-07T20:05:40.4938519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax PASSED [0.0178s] [ 65%] 2023-07-07T20:05:40.4938749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_argsort PASSED [0.0069s] [ 65%] 2023-07-07T20:05:40.4939023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arithmetic PASSED [0.0100s] [ 65%] 2023-07-07T20:05:40.4939287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0039s] [ 65%] 2023-07-07T20:05:40.4939548Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0189s] [ 65%] 2023-07-07T20:05:40.4940090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0101s] [ 65%] 2023-07-07T20:05:40.4940604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0128s] [ 65%] 2023-07-07T20:05:40.4941145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0053s] [ 65%] 2023-07-07T20:05:40.4941728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.4941872Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.4941957Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.4941967Z 2023-07-07T20:05:40.4942103Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.4942266Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.4942441Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0043s] [ 65%] 2023-07-07T20:05:40.4942977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0051s] [ 65%] 2023-07-07T20:05:40.4943537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4943692Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4943838Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4943988Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4943996Z 2023-07-07T20:05:40.4944085Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4944232Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4944378Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4944516Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4944535Z 2023-07-07T20:05:40.4944670Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4944814Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4944959Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4945109Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4945117Z 2023-07-07T20:05:40.4945123Z 2023-07-07T20:05:40.4945266Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4945409Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4945553Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4945703Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4945738Z 2023-07-07T20:05:40.4945869Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4946011Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4946155Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4946302Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4946309Z 2023-07-07T20:05:40.4946396Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4946538Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4946707Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4946899Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0041s] [ 65%] 2023-07-07T20:05:40.4947452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.4947599Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.4947740Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.4947889Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.4947894Z 2023-07-07T20:05:40.4948020Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.4948165Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.4948307Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.4948458Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.4948463Z 2023-07-07T20:05:40.4948607Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.4948738Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.4948908Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.4949061Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.4949067Z 2023-07-07T20:05:40.4949071Z 2023-07-07T20:05:40.4949213Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.4949355Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.4949500Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.4949650Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.4949655Z 2023-07-07T20:05:40.4949798Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.4949930Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.4950108Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.4950332Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.4950340Z 2023-07-07T20:05:40.4950470Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.4950686Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.4950900Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.4951185Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0039s] [ 65%] 2023-07-07T20:05:40.4951566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0083s] [ 65%] 2023-07-07T20:05:40.4951952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0078s] [ 65%] 2023-07-07T20:05:40.4952402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0117s] [ 65%] 2023-07-07T20:05:40.4952888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0135s] [ 65%] 2023-07-07T20:05:40.4953343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0122s] [ 65%] 2023-07-07T20:05:40.4953724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.5380s] [ 65%] 2023-07-07T20:05:40.4954120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0125s] [ 65%] 2023-07-07T20:05:40.4954521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_baddbmm PASSED [0.0098s] [ 65%] 2023-07-07T20:05:40.4954997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0078s] [ 65%] 2023-07-07T20:05:40.4955371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batched_nms PASSED [0.0215s] [ 65%] 2023-07-07T20:05:40.4955803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine PASSED [0.0148s] [ 65%] 2023-07-07T20:05:40.4956214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_norunningstats PASSED [0.0245s] [ 65%] 2023-07-07T20:05:40.4956613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0155s] [ 65%] 2023-07-07T20:05:40.4957025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0222s] [ 65%] 2023-07-07T20:05:40.4957431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d PASSED [0.1194s] [ 65%] 2023-07-07T20:05:40.4957811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1199s] [ 65%] 2023-07-07T20:05:40.4958225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer PASSED [0.1377s] [ 65%] 2023-07-07T20:05:40.4958638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits PASSED [0.1382s] [ 65%] 2023-07-07T20:05:40.4959005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0148s] [ 65%] 2023-07-07T20:05:40.4959391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8 PASSED [0.0107s] [ 65%] 2023-07-07T20:05:40.4959774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_cast_to_bool PASSED [0.0072s] [ 65%] 2023-07-07T20:05:40.4960150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_celu_default PASSED [0.0050s] [ 65%] 2023-07-07T20:05:40.4960526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn PASSED [0.0225s] [ 65%] 2023-07-07T20:05:40.4960910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_clip_boxes_to_image PASSED [0.0347s] [ 65%] 2023-07-07T20:05:40.4961313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_clip_int PASSED [0.0064s] [ 65%] 2023-07-07T20:05:40.4961656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic PASSED [0.0034s] [ 65%] 2023-07-07T20:05:40.4961907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0253s] [ 65%] 2023-07-07T20:05:40.4962136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_conv_bn PASSED [0.0456s] [ 65%] 2023-07-07T20:05:40.4962427Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0515s] [ 65%] 2023-07-07T20:05:40.4962683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_conv_str_padding PASSED [0.5966s] [ 65%] 2023-07-07T20:05:40.4962943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32 PASSED [0.0255s] [ 65%] 2023-07-07T20:05:40.4963218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_copy_ PASSED [0.1958s] [ 65%] 2023-07-07T20:05:40.4963482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script PASSED [0.0451s] [ 65%] 2023-07-07T20:05:40.4963732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing PASSED [0.0272s] [ 65%] 2023-07-07T20:05:40.4964020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss PASSED [0.2849s] [ 65%] 2023-07-07T20:05:40.4964267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_cste_script PASSED [0.0051s] [ 65%] 2023-07-07T20:05:40.4964673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast PASSED [0.0322s] [ 65%] 2023-07-07T20:05:40.4964925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_derive_index PASSED [0.0630s] [ 65%] 2023-07-07T20:05:40.4965188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting PASSED [0.0528s] [ 65%] 2023-07-07T20:05:40.4965429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dict PASSED [0.0052s] [ 65%] 2023-07-07T20:05:40.4965663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dict_str PASSED [0.0056s] [ 65%] 2023-07-07T20:05:40.4965920Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0095s] [ 65%] 2023-07-07T20:05:40.4966176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_div_rounding_mode PASSED [0.0975s] [ 65%] 2023-07-07T20:05:40.4966419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dot PASSED [0.0084s] [ 65%] 2023-07-07T20:05:40.4966666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dropout PASSED [0.0052s] [ 65%] 2023-07-07T20:05:40.4966987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dropout_training PASSED [0.0146s] [ 65%] 2023-07-07T20:05:40.4967250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero PASSED [0.0440s] [ 65%] 2023-07-07T20:05:40.4967498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dtype PASSED [0.0034s] [ 65%] 2023-07-07T20:05:40.4967744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dtype_eq PASSED [0.0031s] [ 65%] 2023-07-07T20:05:40.4968036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dynamic_arange_out PASSED [0.0081s] [ 65%] 2023-07-07T20:05:40.4968294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dynamic_expand_as PASSED [0.0854s] [ 65%] 2023-07-07T20:05:40.4968559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_dynamic_repeat_interleave PASSED [0.0806s] [ 65%] 2023-07-07T20:05:40.4968830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag PASSED [0.0564s] [ 65%] 2023-07-07T20:05:40.4969107Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights PASSED [0.0211s] [ 65%] 2023-07-07T20:05:40.4969389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_2d_per_sample_weights PASSED [0.0316s] [ 65%] 2023-07-07T20:05:40.4969847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 65%] 2023-07-07T20:05:40.4970101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_empty_branch PASSED [0.0037s] [ 65%] 2023-07-07T20:05:40.4970367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_empty_constant_shape PASSED [0.0266s] [ 65%] 2023-07-07T20:05:40.4970606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_eq PASSED [0.0149s] [ 65%] 2023-07-07T20:05:40.4970853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_flatten2d PASSED [0.0046s] [ 65%] 2023-07-07T20:05:40.4971109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_flatten2d_neg PASSED [0.0113s] [ 65%] 2023-07-07T20:05:40.4971368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_flatten_dynamic_axes PASSED [0.0089s] [ 65%] 2023-07-07T20:05:40.4971626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floating_point PASSED [0.0071s] [ 65%] 2023-07-07T20:05:40.4971936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floor_div SKIPPED [0.0002s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 65%] 2023-07-07T20:05:40.4972293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 65%] 2023-07-07T20:05:40.4972607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_floordiv SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 65%] 2023-07-07T20:05:40.4972846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0095s] [ 65%] 2023-07-07T20:05:40.4973092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_full_like PASSED [0.0059s] [ 65%] 2023-07-07T20:05:40.4973369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_full_script PASSED [0.0034s] [ 65%] 2023-07-07T20:05:40.4973615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_full_trace PASSED [0.0067s] [ 65%] 2023-07-07T20:05:40.4973865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn2d PASSED [0.0121s] [ 65%] 2023-07-07T20:05:40.4974148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block PASSED [0.0097s] [ 65%] 2023-07-07T20:05:40.4974391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gather PASSED [0.0053s] [ 65%] 2023-07-07T20:05:40.4974650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold PASSED [0.0341s] [ 65%] 2023-07-07T20:05:40.4974887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gelu PASSED [0.0080s] [ 65%] 2023-07-07T20:05:40.4975158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_getitem PASSED [0.0046s] [ 65%] 2023-07-07T20:05:40.4975398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_glu PASSED [0.0061s] [ 65%] 2023-07-07T20:05:40.4975730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0009s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4976059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4976398Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4976716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4977036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0010s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4977366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4977726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4978065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4978394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4978747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4979084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4979435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 65%] 2023-07-07T20:05:40.4979688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.0706s] [ 65%] 2023-07-07T20:05:40.4979936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar PASSED [0.0104s] [ 65%] 2023-07-07T20:05:40.4980228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic PASSED [0.0149s] [ 65%] 2023-07-07T20:05:40.4980485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardshrink_dtype PASSED [0.0082s] [ 65%] 2023-07-07T20:05:40.4980734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardswish PASSED [0.0103s] [ 65%] 2023-07-07T20:05:40.4980978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardtanh PASSED [0.0057s] [ 65%] 2023-07-07T20:05:40.4981257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_hardtanh_script_with_default_values PASSED [0.0034s] [ 65%] 2023-07-07T20:05:40.4981486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_if_view PASSED [0.0056s] [ 65%] 2023-07-07T20:05:40.4981728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_im2col PASSED [0.0735s] [ 65%] 2023-07-07T20:05:40.4981991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ PASSED [0.0150s] [ 65%] 2023-07-07T20:05:40.4982248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes PASSED [0.0266s] [ 65%] 2023-07-07T20:05:40.4982495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_add_if PASSED [0.0039s] [ 65%] 2023-07-07T20:05:40.4982736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_fill PASSED [0.0138s] [ 65%] 2023-07-07T20:05:40.4983054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate PASSED [0.0110s] [ 65%] 2023-07-07T20:05:40.4983312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis PASSED [0.0962s] [ 65%] 2023-07-07T20:05:40.4983560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_2 PASSED [0.2763s] [ 65%] 2023-07-07T20:05:40.4983829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_4 PASSED [0.0970s] [ 65%] 2023-07-07T20:05:40.4984067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_if_5 PASSED [0.0977s] [ 65%] 2023-07-07T20:05:40.4984310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_loop PASSED [0.2832s] [ 65%] 2023-07-07T20:05:40.4984562Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_singular PASSED [0.0256s] [ 65%] 2023-07-07T20:05:40.4984832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_slice_index PASSED [0.3004s] [ 65%] 2023-07-07T20:05:40.4985096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_fill PASSED [0.0115s] [ 65%] 2023-07-07T20:05:40.4985362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_to_masked_scatter PASSED [0.0141s] [ 65%] 2023-07-07T20:05:40.4985665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_put_with_1d_mask_to_masked_scatter PASSED [0.0133s] [ 65%] 2023-07-07T20:05:40.4985938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_select_constant_scaler_index PASSED [0.0067s] [ 65%] 2023-07-07T20:05:40.4986200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_index_select_scaler_index PASSED [0.0079s] [ 65%] 2023-07-07T20:05:40.4986461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic PASSED [0.0033s] [ 65%] 2023-07-07T20:05:40.4986722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_arithmetic_half PASSED [0.0100s] [ 65%] 2023-07-07T20:05:40.4986975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill PASSED [0.0099s] [ 65%] 2023-07-07T20:05:40.4987232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_inplace_zero_qkv PASSED [0.0097s] [ 65%] 2023-07-07T20:05:40.4987504Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_instancenorm2d_runningstats PASSED [0.0475s] [ 65%] 2023-07-07T20:05:40.4987768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_runningstats PASSED [0.2367s] [ 65%] 2023-07-07T20:05:40.4988030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample PASSED [0.2054s] [ 65%] 2023-07-07T20:05:40.4988310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_interpolate_half_pixel PASSED [0.0587s] [ 65%] 2023-07-07T20:05:40.4988551Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_isinf PASSED [0.0048s] [ 65%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm_zero PASSED [0.0082s] [ 65%] 2023-07-07T20:05:40.4991142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_linspace PASSED [0.0102s] [ 65%] 2023-07-07T20:05:40.4991536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block PASSED [0.0058s] [ 65%] 2023-07-07T20:05:40.4991928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested PASSED [0.0060s] [ 65%] 2023-07-07T20:05:40.4992325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_del PASSED [0.0088s] [ 65%] 2023-07-07T20:05:40.4992695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block PASSED [0.0085s] [ 65%] 2023-07-07T20:05:40.4993075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_del_nested PASSED [0.0086s] [ 65%] 2023-07-07T20:05:40.4993450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_idx_sum PASSED [0.0077s] [ 65%] 2023-07-07T20:05:40.4993831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested PASSED [0.0077s] [ 65%] 2023-07-07T20:05:40.4994211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_unpack PASSED [0.0055s] [ 65%] 2023-07-07T20:05:40.4994682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_slice_scripted PASSED [0.0088s] [ 65%] 2023-07-07T20:05:40.4995051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_log PASSED [0.0048s] [ 65%] 2023-07-07T20:05:40.4995419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_log10 PASSED [0.0056s] [ 65%] 2023-07-07T20:05:40.4995788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logdet PASSED [0.0052s] [ 65%] 2023-07-07T20:05:40.4996209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logical_xor PASSED [0.0167s] [ 65%] 2023-07-07T20:05:40.4996593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim PASSED [0.0270s] [ 65%] 2023-07-07T20:05:40.4996987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dtype PASSED [0.0052s] [ 65%] 2023-07-07T20:05:40.4997367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose PASSED [0.0058s] [ 65%] 2023-07-07T20:05:40.4997767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list PASSED [0.0051s] [ 65%] 2023-07-07T20:05:40.4998147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple PASSED [0.0105s] [ 65%] 2023-07-07T20:05:40.4998522Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_2 PASSED [0.0045s] [ 65%] 2023-07-07T20:05:40.4998919Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lower_tuple_3 PASSED [0.0113s] [ 65%] 2023-07-07T20:05:40.4999289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_cell PASSED [0.0388s] [ 65%] 2023-07-07T20:05:40.4999688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.1271s] [ 65%] 2023-07-07T20:05:40.5000078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size PASSED [0.0296s] [ 65%] 2023-07-07T20:05:40.5000428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_post_fix_init_state PASSED [0.0318s] [ 65%] 2023-07-07T20:05:40.5000686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0114s] [ 65%] 2023-07-07T20:05:40.5000933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lstm_sequence PASSED [0.0838s] [ 65%] 2023-07-07T20:05:40.5001172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lt PASSED [0.0164s] [ 65%] 2023-07-07T20:05:40.5001417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar PASSED [0.0093s] [ 65%] 2023-07-07T20:05:40.5001652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_fill PASSED [0.0122s] [ 65%] 2023-07-07T20:05:40.5001908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_fill_inplace PASSED [0.0058s] [ 65%] 2023-07-07T20:05:40.5002160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_scatter PASSED [0.0140s] [ 65%] 2023-07-07T20:05:40.5002408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_masked_select PASSED [0.0086s] [ 65%] 2023-07-07T20:05:40.5002654Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch PASSED [0.0085s] [ 65%] 2023-07-07T20:05:40.5002935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes PASSED [0.0155s] [ 65%] 2023-07-07T20:05:40.5003190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maximum_minimum PASSED [0.0054s] [ 65%] 2023-07-07T20:05:40.5003437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0069s] [ 65%] 2023-07-07T20:05:40.5003681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0067s] [ 65%] 2023-07-07T20:05:40.5003962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0158s] [ 65%] 2023-07-07T20:05:40.5004216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_3d_ceil PASSED [0.3818s] [ 65%] 2023-07-07T20:05:40.5004606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_default_stride PASSED [0.0101s] [ 65%] 2023-07-07T20:05:40.5004906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_maxpool_dilation PASSED [0.0073s] [ 66%] 2023-07-07T20:05:40.5005160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar PASSED [0.0290s] [ 66%] 2023-07-07T20:05:40.5005405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mish PASSED [0.0344s] [ 66%] 2023-07-07T20:05:40.5005729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0014s] (Skip verify test for torch trace.) [ 66%] 2023-07-07T20:05:40.5006063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0011s] (Unsupported opset_version: 14 > 13) [ 66%] 2023-07-07T20:05:40.5006308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_mul_bool PASSED [0.0166s] [ 66%] 2023-07-07T20:05:40.5006561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_multinomial PASSED [0.0107s] [ 66%] 2023-07-07T20:05:40.5006840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave PASSED [0.0464s] [ 66%] 2023-07-07T20:05:40.5007086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num PASSED [0.0413s] [ 66%] 2023-07-07T20:05:40.5007346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_output PASSED [0.0055s] [ 66%] 2023-07-07T20:05:40.5007594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss PASSED [0.0113s] [ 66%] 2023-07-07T20:05:40.5007845Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean PASSED [0.0151s] [ 66%] 2023-07-07T20:05:40.5008114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index PASSED [0.0150s] [ 66%] 2023-07-07T20:05:40.5008449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights PASSED [0.0156s] [ 66%] 2023-07-07T20:05:40.5008700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum PASSED [0.0153s] [ 66%] 2023-07-07T20:05:40.5008941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nms PASSED [0.0112s] [ 66%] 2023-07-07T20:05:40.5009205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness PASSED [0.0138s] [ 66%] 2023-07-07T20:05:40.5009484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_nonzero PASSED [0.0109s] [ 66%] 2023-07-07T20:05:40.5009725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0047s] [ 66%] 2023-07-07T20:05:40.5009971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_one_hot PASSED [0.0137s] [ 66%] 2023-07-07T20:05:40.5010215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0116s] [ 66%] 2023-07-07T20:05:40.5010555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0 SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 66%] 2023-07-07T20:05:40.5010876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 66%] 2023-07-07T20:05:40.5011190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 66%] 2023-07-07T20:05:40.5011461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_outer PASSED [0.0166s] [ 66%] 2023-07-07T20:05:40.5011715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pad_circular PASSED [0.0120s] [ 66%] 2023-07-07T20:05:40.5011966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes PASSED [0.0126s] [ 66%] 2023-07-07T20:05:40.5012233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list PASSED [0.0167s] [ 66%] 2023-07-07T20:05:40.5012492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0095s] [ 66%] 2023-07-07T20:05:40.5012740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pixel_shuffle PASSED [0.0097s] [ 66%] 2023-07-07T20:05:40.5012993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pixel_unshuffle PASSED [0.0170s] [ 66%] 2023-07-07T20:05:40.5013232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_pow PASSED [0.0318s] [ 66%] 2023-07-07T20:05:40.5013476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_prim_min PASSED [0.0258s] [ 66%] 2023-07-07T20:05:40.5013741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0056s] [ 66%] 2023-07-07T20:05:40.5014037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_integer PASSED [0.0048s] [ 66%] 2023-07-07T20:05:40.5014324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0192s] [ 66%] 2023-07-07T20:05:40.5014825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5015204Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5015286Z PASSED [0.0223s] [ 66%] 2023-07-07T20:05:40.5015544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused PASSED [0.0585s] [ 66%] 2023-07-07T20:05:40.5016062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5016411Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5016505Z PASSED [0.0169s] [ 66%] 2023-07-07T20:05:40.5016792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale PASSED [0.0240s] [ 66%] 2023-07-07T20:05:40.5017050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d PASSED [0.0391s] [ 66%] 2023-07-07T20:05:40.5017319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d PASSED [0.0387s] [ 66%] 2023-07-07T20:05:40.5017576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten PASSED [0.0152s] [ 66%] 2023-07-07T20:05:40.5017961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 66%] 2023-07-07T20:05:40.5018230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm PASSED [0.0231s] [ 66%] 2023-07-07T20:05:40.5018497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh PASSED [0.0163s] [ 66%] 2023-07-07T20:05:40.5018763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm PASSED [0.0247s] [ 66%] 2023-07-07T20:05:40.5019042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_hardswish PASSED [0.0164s] [ 66%] 2023-07-07T20:05:40.5019348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0154s] [ 66%] 2023-07-07T20:05:40.5019618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid PASSED [0.0142s] [ 66%] 2023-07-07T20:05:40.5019878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh PASSED [0.0138s] [ 66%] 2023-07-07T20:05:40.5020159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose PASSED [0.0120s] [ 66%] 2023-07-07T20:05:40.5020417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_view PASSED [0.0130s] [ 66%] 2023-07-07T20:05:40.5020662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rand PASSED [0.0086s] [ 66%] 2023-07-07T20:05:40.5020907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0105s] [ 66%] 2023-07-07T20:05:40.5021175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rand_like PASSED [0.0119s] [ 66%] 2023-07-07T20:05:40.5021424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0117s] [ 66%] 2023-07-07T20:05:40.5021676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0099s] [ 66%] 2023-07-07T20:05:40.5021959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum PASSED [0.0396s] [ 66%] 2023-07-07T20:05:40.5022216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0112s] [ 66%] 2023-07-07T20:05:40.5022468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0234s] [ 66%] 2023-07-07T20:05:40.5022721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0208s] [ 66%] 2023-07-07T20:05:40.5022965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_repeat PASSED [0.0164s] [ 66%] 2023-07-07T20:05:40.5023210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0354s] [ 66%] 2023-07-07T20:05:40.5023712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 66%] 2023-07-07T20:05:40.5023964Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_resize_images PASSED [0.0463s] [ 66%] 2023-07-07T20:05:40.5024576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5024959Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5025307Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5025388Z PASSED [0.0517s] [ 66%] 2023-07-07T20:05:40.5026035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5026380Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5026753Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5026838Z PASSED [0.0519s] [ 66%] 2023-07-07T20:05:40.5027456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5027852Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5028186Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5028523Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5028603Z PASSED [0.0521s] [ 66%] 2023-07-07T20:05:40.5028973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0388s] [ 66%] 2023-07-07T20:05:40.5029576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5029945Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5030289Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5030630Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5030737Z PASSED [0.0460s] [ 66%] 2023-07-07T20:05:40.5031341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5031720Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5032057Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5032381Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5032490Z PASSED [0.0451s] [ 66%] 2023-07-07T20:05:40.5032843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0334s] [ 66%] 2023-07-07T20:05:40.5033198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0332s] [ 66%] 2023-07-07T20:05:40.5033799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5034145Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5034486Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5034565Z PASSED [0.0404s] [ 66%] 2023-07-07T20:05:40.5035281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5035628Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5035969Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5036076Z PASSED [0.0400s] [ 66%] 2023-07-07T20:05:40.5036683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5037053Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5037396Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5037737Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5037852Z PASSED [0.0401s] [ 66%] 2023-07-07T20:05:40.5038209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0275s] [ 66%] 2023-07-07T20:05:40.5038572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0274s] [ 66%] 2023-07-07T20:05:40.5039195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5039536Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5039876Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5039955Z PASSED [0.0363s] [ 66%] 2023-07-07T20:05:40.5040300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0245s] [ 66%] 2023-07-07T20:05:40.5040688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0244s] [ 66%] 2023-07-07T20:05:40.5041303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5041675Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5042015Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5042092Z PASSED [0.0309s] [ 66%] 2023-07-07T20:05:40.5042725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5043070Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5043433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5043764Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5043843Z PASSED [0.0309s] [ 66%] 2023-07-07T20:05:40.5044588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5044936Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5045276Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5045359Z PASSED [0.0321s] [ 66%] 2023-07-07T20:05:40.5045767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0210s] [ 66%] 2023-07-07T20:05:40.5046129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0154s] [ 66%] 2023-07-07T20:05:40.5046731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5047105Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5047446Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5047816Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5047898Z PASSED [0.0570s] [ 66%] 2023-07-07T20:05:40.5048514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5048886Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5049218Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5049284Z PASSED [0.0522s] [ 66%] 2023-07-07T20:05:40.5049889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5050232Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5050572Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5050909Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5051025Z PASSED [0.0524s] [ 66%] 2023-07-07T20:05:40.5051640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5052009Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5052345Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5052839Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5052981Z PASSED [0.0519s] [ 66%] 2023-07-07T20:05:40.5053895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5054456Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5054971Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5055086Z PASSED [0.0494s] [ 66%] 2023-07-07T20:05:40.5056006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5056531Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5057041Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5057552Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5057670Z PASSED [0.0450s] [ 66%] 2023-07-07T20:05:40.5058229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0333s] [ 66%] 2023-07-07T20:05:40.5059153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5059700Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5060213Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5060311Z PASSED [0.0401s] [ 66%] 2023-07-07T20:05:40.5061257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5061774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5062326Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5062441Z PASSED [0.0401s] [ 66%] 2023-07-07T20:05:40.5063355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5063872Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5064395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5064777Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5064856Z PASSED [0.0405s] [ 66%] 2023-07-07T20:05:40.5065495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5065841Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5066178Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5066543Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5066625Z PASSED [0.0405s] [ 66%] 2023-07-07T20:05:40.5066984Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0280s] [ 66%] 2023-07-07T20:05:40.5067626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5067970Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5068335Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5068413Z PASSED [0.0363s] [ 66%] 2023-07-07T20:05:40.5069012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5069353Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5069696Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5070034Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5070102Z PASSED [0.0364s] [ 66%] 2023-07-07T20:05:40.5070744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5071092Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5071424Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5071528Z PASSED [0.0304s] [ 66%] 2023-07-07T20:05:40.5071894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0189s] [ 66%] 2023-07-07T20:05:40.5072548Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5072885Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5073226Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5073590Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5073669Z PASSED [0.0327s] [ 66%] 2023-07-07T20:05:40.5074272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5074699Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5075037Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5075373Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5075455Z PASSED [0.0322s] [ 66%] 2023-07-07T20:05:40.5075807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0206s] [ 66%] 2023-07-07T20:05:40.5076454Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5076797Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5077164Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5077247Z PASSED [0.0268s] [ 66%] 2023-07-07T20:05:40.5077883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5078225Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5078563Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5078925Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5078990Z PASSED [0.0272s] [ 66%] 2023-07-07T20:05:40.5079601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5079944Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5080281Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5080359Z PASSED [0.1161s] [ 66%] 2023-07-07T20:05:40.5080963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5081336Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5081676Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5082015Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5082120Z PASSED [0.1166s] [ 66%] 2023-07-07T20:05:40.5082484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1042s] [ 66%] 2023-07-07T20:05:40.5083126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5083466Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5083829Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5083908Z PASSED [0.1116s] [ 66%] 2023-07-07T20:05:40.5084639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5084990Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5085329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5085666Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5085745Z PASSED [0.1120s] [ 66%] 2023-07-07T20:05:40.5086348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5086745Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5087083Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5087148Z PASSED [0.0735s] [ 66%] 2023-07-07T20:05:40.5087785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5088126Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5088501Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5088838Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5088952Z PASSED [0.0738s] [ 66%] 2023-07-07T20:05:40.5089561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5089900Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5090277Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5090791Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5090907Z PASSED [0.0738s] [ 66%] 2023-07-07T20:05:40.5091438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0614s] [ 66%] 2023-07-07T20:05:40.5091978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0612s] [ 66%] 2023-07-07T20:05:40.5092938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5093458Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5093999Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5094119Z PASSED [0.0684s] [ 66%] 2023-07-07T20:05:40.5095039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5095587Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5096102Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5096650Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5096766Z PASSED [0.0685s] [ 66%] 2023-07-07T20:05:40.5097304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0555s] [ 66%] 2023-07-07T20:05:40.5098225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5098742Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5099252Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5099353Z PASSED [0.0545s] [ 66%] 2023-07-07T20:05:40.5100308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5100829Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5101345Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5101879Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5102006Z PASSED [0.0550s] [ 66%] 2023-07-07T20:05:40.5102382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0432s] [ 66%] 2023-07-07T20:05:40.5102787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0376s] [ 66%] 2023-07-07T20:05:40.5103386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5103756Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5104094Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5104435Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5104514Z PASSED [0.0419s] [ 66%] 2023-07-07T20:05:40.5104868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0304s] [ 66%] 2023-07-07T20:05:40.5105475Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5105815Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5106180Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5106265Z PASSED [0.0371s] [ 66%] 2023-07-07T20:05:40.5106865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5107232Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5107571Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5107648Z PASSED [0.0370s] [ 66%] 2023-07-07T20:05:40.5108017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0252s] [ 66%] 2023-07-07T20:05:40.5108625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5108995Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5109334Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5109412Z PASSED [0.1211s] [ 66%] 2023-07-07T20:05:40.5110024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5110363Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5110700Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5110780Z PASSED [0.1206s] [ 66%] 2023-07-07T20:05:40.5111410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5111750Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5112084Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5112451Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5112531Z PASSED [0.1207s] [ 66%] 2023-07-07T20:05:40.5113170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5113508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5113847Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5113952Z PASSED [0.1161s] [ 66%] 2023-07-07T20:05:40.5114563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5114965Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5115306Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5115386Z PASSED [0.1161s] [ 66%] 2023-07-07T20:05:40.5115997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5116341Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5116708Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5117050Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5117114Z PASSED [0.1170s] [ 66%] 2023-07-07T20:05:40.5117480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1029s] [ 66%] 2023-07-07T20:05:40.5117901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.1028s] [ 66%] 2023-07-07T20:05:40.5118525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5118866Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5119233Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5119311Z PASSED [0.0776s] [ 66%] 2023-07-07T20:05:40.5119914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5120255Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5120597Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5120675Z PASSED [0.1022s] [ 66%] 2023-07-07T20:05:40.5121281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5121624Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5121988Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5122327Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5122409Z PASSED [0.0772s] [ 66%] 2023-07-07T20:05:40.5122787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0644s] [ 66%] 2023-07-07T20:05:40.5123392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5123758Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5124098Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5124201Z PASSED [0.0735s] [ 66%] 2023-07-07T20:05:40.5124999Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5125348Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5125688Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5126018Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5126097Z PASSED [0.0740s] [ 66%] 2023-07-07T20:05:40.5126703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5127045Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5127438Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5127775Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5127854Z PASSED [0.0732s] [ 66%] 2023-07-07T20:05:40.5128242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0618s] [ 66%] 2023-07-07T20:05:40.5128976Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5129528Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5130048Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5130595Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5130710Z PASSED [0.0550s] [ 66%] 2023-07-07T20:05:40.5131632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5132150Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5132663Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5133172Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5133288Z PASSED [0.0546s] [ 66%] 2023-07-07T20:05:40.5134253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5134772Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5135279Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5135422Z PASSED [0.0489s] [ 66%] 2023-07-07T20:05:40.5136351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5136890Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5137389Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5137505Z PASSED [0.0486s] [ 66%] 2023-07-07T20:05:40.5138431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5138970Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5139477Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5139988Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5140109Z PASSED [0.0489s] [ 66%] 2023-07-07T20:05:40.5140634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0387s] [ 66%] 2023-07-07T20:05:40.5141245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5141629Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5141964Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5142044Z PASSED [0.0405s] [ 66%] 2023-07-07T20:05:40.5142643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5143022Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5143387Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5143471Z PASSED [0.0409s] [ 66%] 2023-07-07T20:05:40.5144064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5144433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5144770Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5145105Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5145185Z PASSED [0.0409s] [ 66%] 2023-07-07T20:05:40.5145539Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0293s] [ 66%] 2023-07-07T20:05:40.5145880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0291s] [ 66%] 2023-07-07T20:05:40.5146233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0264s] [ 66%] 2023-07-07T20:05:40.5146533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_roi_align_aligned SKIPPED [0.0009s] (Unsupported opset_version: 14 < 16) [ 66%] 2023-07-07T20:05:40.5146814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_roi_pool PASSED [0.0065s] [ 66%] 2023-07-07T20:05:40.5147059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_roll PASSED [0.0806s] [ 66%] 2023-07-07T20:05:40.5147306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_round PASSED [0.0059s] [ 66%] 2023-07-07T20:05:40.5147545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rpn PASSED [1.3703s] [ 66%] 2023-07-07T20:05:40.5147820Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0062s] [ 66%] 2023-07-07T20:05:40.5148071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0122s] [ 66%] 2023-07-07T20:05:40.5148323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scalar_type PASSED [0.0459s] [ 66%] 2023-07-07T20:05:40.5148690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0009s] (Unsupported opset_version: 14 < 16) [ 66%] 2023-07-07T20:05:40.5148996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 66%] 2023-07-07T20:05:40.5149286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 66%] 2023-07-07T20:05:40.5149621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 66%] 2023-07-07T20:05:40.5149878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar PASSED [0.0072s] [ 66%] 2023-07-07T20:05:40.5150128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried PASSED [0.0057s] [ 66%] 2023-07-07T20:05:40.5150381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool PASSED [0.0059s] [ 66%] 2023-07-07T20:05:40.5150631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int PASSED [0.0057s] [ 66%] 2023-07-07T20:05:40.5150881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0060s] [ 66%] 2023-07-07T20:05:40.5151126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0074s] [ 66%] 2023-07-07T20:05:40.5151368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4 PASSED [0.0075s] [ 66%] 2023-07-07T20:05:40.5151620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0352s] [ 66%] 2023-07-07T20:05:40.5151876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_shape_constant_fold PASSED [0.0068s] [ 66%] 2023-07-07T20:05:40.5152145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_silu PASSED [0.0047s] [ 66%] 2023-07-07T20:05:40.5152394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic PASSED [0.0540s] [ 66%] 2023-07-07T20:05:40.5152653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script PASSED [0.0034s] [ 66%] 2023-07-07T20:05:40.5152909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_to_end PASSED [0.0273s] [ 66%] 2023-07-07T20:05:40.5153167Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0079s] [ 66%] 2023-07-07T20:05:40.5153431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_with_1d_input_index PASSED [0.0454s] [ 66%] 2023-07-07T20:05:40.5153695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size PASSED [0.0495s] [ 66%] 2023-07-07T20:05:40.5153968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_softmax PASSED [0.0573s] [ 66%] 2023-07-07T20:05:40.5154217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0168s] [ 67%] 2023-07-07T20:05:40.5154468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending PASSED [0.0145s] [ 67%] 2023-07-07T20:05:40.5154786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic PASSED [0.0053s] [ 67%] 2023-07-07T20:05:40.5155074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes PASSED [0.0067s] [ 67%] 2023-07-07T20:05:40.5155336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice PASSED [0.0243s] [ 67%] 2023-07-07T20:05:40.5155594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0016s] [ 67%] 2023-07-07T20:05:40.5155841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0073s] [ 67%] 2023-07-07T20:05:40.5156095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0051s] [ 67%] 2023-07-07T20:05:40.5156352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic PASSED [0.0093s] [ 67%] 2023-07-07T20:05:40.5156595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0289s] [ 67%] 2023-07-07T20:05:40.5156842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stack PASSED [0.0081s] [ 67%] 2023-07-07T20:05:40.5157093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stack_dynamic PASSED [0.0035s] [ 67%] 2023-07-07T20:05:40.5157343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0185s] [ 67%] 2023-07-07T20:05:40.5157627Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0188s] [ 67%] 2023-07-07T20:05:40.5157884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0190s] [ 67%] 2023-07-07T20:05:40.5158173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5158469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5158803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5159097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5159417Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0010s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5159714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5160016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5160351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_input_size SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5160634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_return_complex SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5160932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 67%] 2023-07-07T20:05:40.5161173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_sum PASSED [0.0050s] [ 67%] 2023-07-07T20:05:40.5161439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0472s] [ 67%] 2023-07-07T20:05:40.5161717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange PASSED [0.0518s] [ 67%] 2023-07-07T20:05:40.5161995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0307s] [ 67%] 2023-07-07T20:05:40.5162266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box PASSED [0.0409s] [ 67%] 2023-07-07T20:05:40.5162536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script PASSED [0.0049s] [ 67%] 2023-07-07T20:05:40.5164256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0190s] [ 67%] 2023-07-07T20:05:40.5164656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0152s] [ 67%] 2023-07-07T20:05:40.5164990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0053s] [ 67%] 2023-07-07T20:05:40.5165240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tensor_split 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0041s] [ 67%] 2023-07-07T20:05:40.5168335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 67%] 2023-07-07T20:05:40.5168626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_output PASSED [0.0050s] [ 67%] 2023-07-07T20:05:40.5168889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs PASSED [0.0404s] [ 67%] 2023-07-07T20:05:40.5169143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized PASSED [0.0203s] [ 67%] 2023-07-07T20:05:40.5169437Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0344s] [ 67%] 2023-07-07T20:05:40.5169699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList PASSED [0.0058s] [ 67%] 2023-07-07T20:05:40.5170010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 67%] 2023-07-07T20:05:40.5170301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList PASSED [0.0052s] [ 67%] 2023-07-07T20:05:40.5170579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic PASSED [0.0053s] [ 67%] 2023-07-07T20:05:40.5170833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim PASSED [0.0093s] [ 67%] 2023-07-07T20:05:40.5171081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk PASSED [0.0064s] [ 67%] 2023-07-07T20:05:40.5171348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var PASSED [0.1267s] [ 67%] 2023-07-07T20:05:40.5171583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var_along_dims PASSED [0.0170s] [ 67%] 2023-07-07T20:05:40.5171826Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0144s] [ 67%] 2023-07-07T20:05:40.5172080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0171s] [ 67%] 2023-07-07T20:05:40.5172322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_view_as PASSED [0.0051s] [ 67%] 2023-07-07T20:05:40.5172581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim PASSED [0.0134s] [ 67%] 2023-07-07T20:05:40.5172823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_where PASSED [0.0044s] [ 67%] 2023-07-07T20:05:40.5173089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_where_condition_script PASSED [0.0501s] [ 67%] 2023-07-07T20:05:40.5173347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor PASSED [0.0143s] [ 67%] 2023-07-07T20:05:40.5173611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.0998s] [ 67%] 2023-07-07T20:05:40.5173913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.0515s] [ 67%] 2023-07-07T20:05:40.5174177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0508s] [ 67%] 2023-07-07T20:05:40.5174436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast PASSED [0.0068s] [ 67%] 2023-07-07T20:05:40.5174670Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_MSELoss PASSED [0.0251s] [ 67%] 2023-07-07T20:05:40.5174941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0117s] [ 67%] 2023-07-07T20:05:40.5175188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0056s] [ 67%] 2023-07-07T20:05:40.5175431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0088s] [ 67%] 2023-07-07T20:05:40.5175695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_all PASSED [0.0197s] [ 67%] 2023-07-07T20:05:40.5176003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor SKIPPED [0.0009s] (Unsupported opset_version: 14 < 15) [ 67%] 2023-07-07T20:05:40.5176323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor_script SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 67%] 2023-07-07T20:05:40.5176597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_amax_amin PASSED [0.0068s] [ 67%] 2023-07-07T20:05:40.5176837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_any PASSED [0.0416s] [ 67%] 2023-07-07T20:05:40.5177091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0641s] [ 67%] 2023-07-07T20:05:40.5177340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_end PASSED [0.0237s] [ 67%] 2023-07-07T20:05:40.5177600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype PASSED [0.0259s] [ 67%] 2023-07-07T20:05:40.5177853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_no_type PASSED [0.0087s] [ 67%] 2023-07-07T20:05:40.5178094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0195s] [ 67%] 2023-07-07T20:05:40.5178356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_out PASSED [0.0392s] [ 67%] 2023-07-07T20:05:40.5178629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index PASSED [0.0510s] [ 67%] 2023-07-07T20:05:40.5178890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0054s] [ 67%] 2023-07-07T20:05:40.5179180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0154s] [ 67%] 2023-07-07T20:05:40.5179442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0274s] [ 67%] 2023-07-07T20:05:40.5179701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0264s] [ 67%] 2023-07-07T20:05:40.5179947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_as_strided PASSED [0.0379s] [ 67%] 2023-07-07T20:05:40.5180519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ PASSED [0.0101s] [ 67%] 2023-07-07T20:05:40.5181070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.5181183Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0041s] [ 67%] 2023-07-07T20:05:40.5181776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.5181922Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.5181994Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.5182008Z 2023-07-07T20:05:40.5182142Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.5182305Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.5182495Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0039s] [ 67%] 2023-07-07T20:05:40.5183034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0047s] [ 67%] 2023-07-07T20:05:40.5183588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0044s] [ 67%] 2023-07-07T20:05:40.5184136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.5184273Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.5184360Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.5184366Z 2023-07-07T20:05:40.5184500Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.5184620Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.5184806Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0035s] [ 67%] 2023-07-07T20:05:40.5185366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.5185523Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.5185673Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.5185825Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.5185833Z 2023-07-07T20:05:40.5185922Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.5186095Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.5186242Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.5186380Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.5186386Z 2023-07-07T20:05:40.5186532Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.5186678Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.5186824Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.5187003Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.5187009Z 2023-07-07T20:05:40.5187014Z 2023-07-07T20:05:40.5187155Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.5187300Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.5187448Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.5187587Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.5187604Z 2023-07-07T20:05:40.5187738Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.5187880Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.5188024Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.5188200Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.5188206Z 2023-07-07T20:05:40.5188293Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.5188436Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.5188581Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.5188759Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0035s] [ 67%] 2023-07-07T20:05:40.5189019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0071s] [ 67%] 2023-07-07T20:05:40.5189435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0115s] [ 67%] 2023-07-07T20:05:40.5189887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0125s] [ 67%] 2023-07-07T20:05:40.5190334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0199s] [ 67%] 2023-07-07T20:05:40.5190721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_3d_ceil PASSED [0.6828s] [ 67%] 2023-07-07T20:05:40.5191169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0106s] [ 67%] 2023-07-07T20:05:40.5191550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0077s] [ 67%] 2023-07-07T20:05:40.5191931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batched_nms PASSED [0.0212s] [ 67%] 2023-07-07T20:05:40.5192310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d PASSED [0.0132s] [ 67%] 2023-07-07T20:05:40.5192712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0138s] [ 67%] 2023-07-07T20:05:40.5193172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer PASSED [0.1307s] [ 67%] 2023-07-07T20:05:40.5193546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_bernoulli PASSED [0.0138s] [ 67%] 2023-07-07T20:05:40.5193926Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_bernoulli_p PASSED [0.0270s] [ 67%] 2023-07-07T20:05:40.5194286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_bitshift PASSED [0.0141s] [ 67%] 2023-07-07T20:05:40.5194796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors PASSED [0.0215s] [ 67%] 2023-07-07T20:05:40.5195173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_cast_to_bool PASSED [0.0068s] [ 67%] 2023-07-07T20:05:40.5195544Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_clip_boxes_to_image PASSED [0.0347s] [ 67%] 2023-07-07T20:05:40.5197875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_constant_pad PASSED [0.0251s] [ 67%] 2023-07-07T20:05:40.5198242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv PASSED [0.5309s] [ 67%] 2023-07-07T20:05:40.5198610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv_bn PASSED [0.0436s] [ 67%] 2023-07-07T20:05:40.5198993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_conv_shape_inference PASSED [0.0451s] [ 67%] 2023-07-07T20:05:40.5199385Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform PASSED [0.0591s] [ 67%] 2023-07-07T20:05:40.5204108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness PASSED [0.0224s] [ 67%] 2023-07-07T20:05:40.5204375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_script PASSED [0.0202s] [ 67%] 2023-07-07T20:05:40.5204773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_div_rounding_mode PASSED [0.1525s] [ 67%] 2023-07-07T20:05:40.5205016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dot PASSED [0.0112s] [ 67%] 2023-07-07T20:05:40.5205274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dropout_training PASSED [0.0194s] [ 67%] 2023-07-07T20:05:40.5205530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk PASSED [0.1443s] [ 67%] 2023-07-07T20:05:40.5205775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_einsum PASSED [0.0392s] [ 67%] 2023-07-07T20:05:40.5206040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights PASSED [0.0423s] [ 67%] 2023-07-07T20:05:40.5206295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_embedding_module PASSED [0.0618s] [ 67%] 2023-07-07T20:05:40.5206539Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_eq PASSED [0.0581s] [ 67%] 2023-07-07T20:05:40.5206782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_expand PASSED [0.0580s] [ 67%] 2023-07-07T20:05:40.5207081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_eye PASSED [0.0421s] [ 67%] 2023-07-07T20:05:40.5207348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_activation PASSED [0.0184s] [ 67%] 2023-07-07T20:05:40.5207614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fake_quantize_per_channel PASSED [0.0150s] [ 67%] 2023-07-07T20:05:40.5207889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fill PASSED [0.0172s] [ 67%] 2023-07-07T20:05:40.5208139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_flatten2d_neg PASSED [0.0110s] [ 67%] 2023-07-07T20:05:40.5208400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_flatten_dynamic_axes PASSED [0.0082s] [ 67%] 2023-07-07T20:05:40.5208641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_flip PASSED [0.0057s] [ 67%] 2023-07-07T20:05:40.5208925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floating_point PASSED [0.0072s] [ 67%] 2023-07-07T20:05:40.5209196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floating_point_infer_dtype PASSED [0.0070s] [ 67%] 2023-07-07T20:05:40.5209500Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floor_div SKIPPED [0.0002s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 67%] 2023-07-07T20:05:40.5209877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 67%] 2023-07-07T20:05:40.5210190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_floordiv SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 67%] 2023-07-07T20:05:40.5210433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fmod PASSED [0.0046s] [ 67%] 2023-07-07T20:05:40.5210684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar PASSED [0.0070s] [ 67%] 2023-07-07T20:05:40.5210934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_full_like PASSED [0.0069s] [ 67%] 2023-07-07T20:05:40.5211182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_full_script PASSED [0.0034s] [ 67%] 2023-07-07T20:05:40.5211428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_full_trace PASSED [0.0067s] [ 67%] 2023-07-07T20:05:40.5211671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm PASSED [0.0049s] [ 67%] 2023-07-07T20:05:40.5211924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn2d PASSED [0.0127s] [ 67%] 2023-07-07T20:05:40.5212176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn3d PASSED [0.0239s] [ 67%] 2023-07-07T20:05:40.5212466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_gather_constant_fold PASSED [0.0525s] [ 67%] 2023-07-07T20:05:40.5212713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar PASSED [0.0138s] [ 67%] 2023-07-07T20:05:40.5213042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0015s] (Unsupported opset_version: 14 < 16) [ 67%] 2023-07-07T20:05:40.5213410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0014s] (Unsupported opset_version: 14 < 16) [ 67%] 2023-07-07T20:05:40.5213752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0013s] (Unsupported opset_version: 14 < 16) [ 67%] 2023-07-07T20:05:40.5214114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0013s] (Unsupported opset_version: 14 < 16) [ 67%] 2023-07-07T20:05:40.5214450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0013s] (Unsupported opset_version: 14 < 16) [ 67%] 2023-07-07T20:05:40.5214781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0012s] (Unsupported opset_version: 14 < 16) [ 67%] 2023-07-07T20:05:40.5215136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True SKIPPED [0.0015s] (Unsupported opset_version: 14 < 16) [ 67%] 2023-07-07T20:05:40.5215386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_groupnorm PASSED [0.0954s] [ 67%] 2023-07-07T20:05:40.5215648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_groupnorm_noaffine PASSED [0.1072s] [ 68%] 2023-07-07T20:05:40.5215892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_gt PASSED [0.0221s] [ 68%] 2023-07-07T20:05:40.5216137Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar PASSED [0.0130s] [ 68%] 2023-07-07T20:05:40.5216408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hann_window_default_values PASSED [0.0206s] [ 68%] 2023-07-07T20:05:40.5216666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic PASSED [0.0209s] [ 68%] 2023-07-07T20:05:40.5216915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardshrink PASSED [0.0330s] [ 68%] 2023-07-07T20:05:40.5217173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardshrink_dtype PASSED [0.0124s] [ 68%] 2023-07-07T20:05:40.5217424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardsigmoid PASSED [0.0164s] [ 68%] 2023-07-07T20:05:40.5217696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardswish PASSED [0.0146s] [ 68%] 2023-07-07T20:05:40.5217973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_hardtanh_script_with_default_values PASSED [0.0052s] [ 68%] 2023-07-07T20:05:40.5218235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_heatmaps_to_keypoints PASSED [0.1922s] [ 68%] 2023-07-07T20:05:40.5218478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_if_list PASSED [0.0058s] [ 68%] 2023-07-07T20:05:40.5218747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_im2col PASSED [0.1152s] [ 68%] 2023-07-07T20:05:40.5219004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint PASSED [0.0570s] [ 68%] 2023-07-07T20:05:40.5219267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0661s] [ 68%] 2023-07-07T20:05:40.5219541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_add_if PASSED [0.0061s] [ 68%] 2023-07-07T20:05:40.5219795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal PASSED [0.2493s] [ 68%] 2023-07-07T20:05:40.5220048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_mask_nd PASSED [0.0669s] [ 68%] 2023-07-07T20:05:40.5220340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate PASSED [0.0548s] [ 68%] 2023-07-07T20:05:40.5220620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3 PASSED [0.2573s] [ 68%] 2023-07-07T20:05:40.5220857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_4 PASSED [0.2901s] [ 68%] 2023-07-07T20:05:40.5221120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_inplace_ops PASSED [0.1648s] [ 68%] 2023-07-07T20:05:40.5221369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_loop PASSED [0.3021s] [ 68%] 2023-07-07T20:05:40.5221628Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular PASSED [0.0250s] [ 68%] 2023-07-07T20:05:40.5221885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index PASSED [0.2974s] [ 68%] 2023-07-07T20:05:40.5222163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter PASSED [0.0134s] [ 68%] 2023-07-07T20:05:40.5222439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index PASSED [0.0066s] [ 68%] 2023-07-07T20:05:40.5222704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_index_select_scaler_index PASSED [0.0080s] [ 68%] 2023-07-07T20:05:40.5222998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic_half 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model PASSED [0.0569s] [ 68%] 2023-07-07T20:05:40.5224592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_runningstats PASSED [0.0506s] [ 68%] 2023-07-07T20:05:40.5224928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer PASSED [0.3540s] [ 68%] 2023-07-07T20:05:40.5225208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error PASSED [0.0142s] [ 68%] 2023-07-07T20:05:40.5225472Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample PASSED [0.2104s] [ 68%] 2023-07-07T20:05:40.5225811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 14 > 8) [ 68%] 2023-07-07T20:05:40.5226059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_isfinite PASSED [0.0056s] [ 68%] 2023-07-07T20:05:40.5226301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_item PASSED [0.0054s] [ 68%] 2023-07-07T20:05:40.5226541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_l1_norm PASSED [0.0083s] [ 68%] 2023-07-07T20:05:40.5226787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_l2_norm PASSED [0.0083s] [ 68%] 2023-07-07T20:05:40.5227153Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0093s] [ 68%] 2023-07-07T20:05:40.5227517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_len PASSED [0.0031s] [ 68%] 2023-07-07T20:05:40.5227888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_len_list PASSED [0.0030s] [ 68%] 2023-07-07T20:05:40.5228237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lerp PASSED [0.0479s] [ 68%] 2023-07-07T20:05:40.5228616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0319s] [ 68%] 2023-07-07T20:05:40.5228987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linalg_norm PASSED [0.1566s] [ 68%] 2023-07-07T20:05:40.5229423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero PASSED [0.0075s] [ 68%] 2023-07-07T20:05:40.5229795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_linear PASSED [0.0150s] [ 68%] 2023-07-07T20:05:40.5230159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list PASSED [0.0043s] [ 68%] 2023-07-07T20:05:40.5230533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append PASSED [0.0053s] [ 68%] 2023-07-07T20:05:40.5230952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested PASSED [0.0051s] [ 68%] 2023-07-07T20:05:40.5231351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2 PASSED [0.0054s] [ 68%] 2023-07-07T20:05:40.5231761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype PASSED [0.0052s] [ 68%] 2023-07-07T20:05:40.5232181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_pop_in_block PASSED [0.0058s] [ 68%] 2023-07-07T20:05:40.5232555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_list_set PASSED [0.0050s] [ 68%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0049s] [ 68%] 2023-07-07T20:05:40.5235293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_loop_with_list PASSED [0.0068s] [ 68%] 2023-07-07T20:05:40.5235666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm PASSED [0.0333s] [ 68%] 2023-07-07T20:05:40.5236039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell PASSED [0.0513s] [ 68%] 2023-07-07T20:05:40.5236435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_lstm_constant_folding PASSED [0.1779s] [ 68%] 2023-07-07T20:05:40.5236834Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool PASSED [0.0087s] [ 68%] 2023-07-07T20:05:40.5240191Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil PASSED [0.0092s] [ 68%] 2023-07-07T20:05:40.5240469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d PASSED [0.0091s] [ 68%] 2023-07-07T20:05:40.5240726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_adaptive PASSED [0.0092s] [ 68%] 2023-07-07T20:05:40.5240990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0118s] [ 68%] 2023-07-07T20:05:40.5241236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0137s] [ 68%] 2023-07-07T20:05:40.5241486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0199s] [ 68%] 2023-07-07T20:05:40.5241730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_min_int PASSED [0.0087s] [ 68%] 2023-07-07T20:05:40.5241982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0175s] [ 68%] 2023-07-07T20:05:40.5242224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_movedim PASSED [0.0174s] [ 68%] 2023-07-07T20:05:40.5242474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_multinomial PASSED [0.0140s] [ 68%] 2023-07-07T20:05:40.5242729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn PASSED [0.1422s] [ 68%] 2023-07-07T20:05:40.5243006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave PASSED [0.1010s] [ 68%] 2023-07-07T20:05:40.5243284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num PASSED [0.0585s] [ 68%] 2023-07-07T20:05:40.5243543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0090s] [ 68%] 2023-07-07T20:05:40.5243807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_empty PASSED [0.0368s] [ 68%] 2023-07-07T20:05:40.5244051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_full PASSED [0.0388s] [ 68%] 2023-07-07T20:05:40.5244309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_ones PASSED [0.0381s] [ 68%] 2023-07-07T20:05:40.5244700Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_new_zeros PASSED [0.0458s] [ 68%] 2023-07-07T20:05:40.5244948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nllloss PASSED [0.0132s] [ 68%] 2023-07-07T20:05:40.5245272Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index PASSED [0.0209s] [ 68%] 2023-07-07T20:05:40.5245515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_nms PASSED [0.0153s] [ 68%] 2023-07-07T20:05:40.5245769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0085s] [ 68%] 2023-07-07T20:05:40.5246051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_normalize PASSED [0.0161s] [ 68%] 2023-07-07T20:05:40.5246294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_numel PASSED [0.0083s] [ 68%] 2023-07-07T20:05:40.5246546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0085s] [ 68%] 2023-07-07T20:05:40.5246788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_one_hot PASSED [0.0308s] [ 68%] 2023-07-07T20:05:40.5247034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_ones_bool PASSED [0.0340s] [ 68%] 2023-07-07T20:05:40.5247347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0 SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 68%] 2023-07-07T20:05:40.5247659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 68%] 2023-07-07T20:05:40.5247955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 68%] 2023-07-07T20:05:40.5248207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_circular PASSED [0.0220s] [ 68%] 2023-07-07T20:05:40.5248473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes PASSED [0.0263s] [ 68%] 2023-07-07T20:05:40.5248756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0154s] [ 68%] 2023-07-07T20:05:40.5249016Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list PASSED [0.0201s] [ 68%] 2023-07-07T20:05:40.5249281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list PASSED [0.0163s] [ 68%] 2023-07-07T20:05:40.5249534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0296s] [ 68%] 2023-07-07T20:05:40.5249822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_pixel_unshuffle PASSED [0.0202s] [ 68%] 2023-07-07T20:05:40.5250090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating PASSED [0.0052s] [ 68%] 2023-07-07T20:05:40.5250351Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_integer PASSED [0.0046s] [ 68%] 2023-07-07T20:05:40.5250873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5251228Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5251337Z PASSED [0.0225s] [ 68%] 2023-07-07T20:05:40.5251847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5252194Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5252261Z PASSED [0.0161s] [ 68%] 2023-07-07T20:05:40.5252524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0295s] [ 68%] 2023-07-07T20:05:40.5252812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale PASSED [0.0210s] [ 68%] 2023-07-07T20:05:40.5253103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0196s] [ 68%] 2023-07-07T20:05:40.5253363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0409s] [ 68%] 2023-07-07T20:05:40.5253621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d PASSED [0.0478s] [ 68%] 2023-07-07T20:05:40.5253878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0902s] [ 68%] 2023-07-07T20:05:40.5254165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0595s] [ 68%] 2023-07-07T20:05:40.5254433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d PASSED [0.0446s] [ 68%] 2023-07-07T20:05:40.5254698Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose3d PASSED [0.1092s] [ 68%] 2023-07-07T20:05:40.5254979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear PASSED [0.0302s] [ 68%] 2023-07-07T20:05:40.5255249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided PASSED [0.0148s] [ 68%] 2023-07-07T20:05:40.5255518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_expand PASSED [0.0162s] [ 68%] 2023-07-07T20:05:40.5255777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh PASSED [0.0157s] [ 68%] 2023-07-07T20:05:40.5256098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm PASSED [0.0185s] [ 68%] 2023-07-07T20:05:40.5256371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu PASSED [0.0137s] [ 68%] 2023-07-07T20:05:40.5256652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish PASSED [0.0156s] [ 68%] 2023-07-07T20:05:40.5256952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid PASSED [0.0135s] [ 68%] 2023-07-07T20:05:40.5257220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose PASSED [0.0117s] [ 68%] 2023-07-07T20:05:40.5257479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_view PASSED [0.0124s] [ 68%] 2023-07-07T20:05:40.5257721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rand PASSED [0.0082s] [ 68%] 2023-07-07T20:05:40.5257971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rand_dtype PASSED [0.0099s] [ 68%] 2023-07-07T20:05:40.5258217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_randn PASSED [0.0080s] [ 68%] 2023-07-07T20:05:40.5258467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0101s] [ 68%] 2023-07-07T20:05:40.5258717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0117s] [ 68%] 2023-07-07T20:05:40.5258963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0108s] [ 68%] 2023-07-07T20:05:40.5259200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0093s] [ 68%] 2023-07-07T20:05:40.5259488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod PASSED [0.0260s] [ 68%] 2023-07-07T20:05:40.5259734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_relu6 PASSED [0.0066s] [ 68%] 2023-07-07T20:05:40.5259981Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_relu_int PASSED [0.0040s] [ 68%] 2023-07-07T20:05:40.5260224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_repeat PASSED [0.0110s] [ 68%] 2023-07-07T20:05:40.5260519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0108s] [ 68%] 2023-07-07T20:05:40.5260778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_replication_pad PASSED [0.0474s] [ 68%] 2023-07-07T20:05:40.5261036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold PASSED [0.0143s] [ 68%] 2023-07-07T20:05:40.5261312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_resize_images PASSED [0.0464s] [ 68%] 2023-07-07T20:05:40.5261924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5262303Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5262647Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5262728Z PASSED [0.0563s] [ 68%] 2023-07-07T20:05:40.5263343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5263698Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5264040Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5264118Z PASSED [0.0563s] [ 68%] 2023-07-07T20:05:40.5264745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5265086Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5265426Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5265807Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5265935Z PASSED [0.0561s] [ 68%] 2023-07-07T20:05:40.5266498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0437s] [ 68%] 2023-07-07T20:05:40.5267466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5267991Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5268536Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5268650Z PASSED [0.0512s] [ 68%] 2023-07-07T20:05:40.5269579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5270099Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5270612Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5271129Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5271249Z PASSED [0.1076s] [ 68%] 2023-07-07T20:05:40.5272210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5272733Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5273245Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5273392Z PASSED [0.1137s] [ 68%] 2023-07-07T20:05:40.5273931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1289s] [ 68%] 2023-07-07T20:05:40.5274482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0362s] [ 68%] 2023-07-07T20:05:40.5275532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5276056Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5276595Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5276700Z PASSED [0.0480s] [ 68%] 2023-07-07T20:05:40.5277576Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5277936Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5278280Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5278615Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5278695Z PASSED [0.0482s] [ 68%] 2023-07-07T20:05:40.5279350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5279695Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5280029Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5280400Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5280480Z PASSED [0.0507s] [ 68%] 2023-07-07T20:05:40.5281131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5281474Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5281834Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5281911Z PASSED [0.0414s] [ 68%] 2023-07-07T20:05:40.5282527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5282867Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5283205Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5283282Z PASSED [0.0401s] [ 68%] 2023-07-07T20:05:40.5283891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5284229Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5284808Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5285154Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5285233Z PASSED [0.0411s] [ 68%] 2023-07-07T20:05:40.5285880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5286218Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5286573Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5286913Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5287025Z PASSED [0.0748s] [ 68%] 2023-07-07T20:05:40.5287632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5287970Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5288307Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5288387Z PASSED [0.0549s] [ 68%] 2023-07-07T20:05:40.5288996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5289334Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5289712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5289792Z PASSED [0.0476s] [ 68%] 2023-07-07T20:05:40.5290397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5290767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5291110Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5291446Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5291549Z PASSED [0.0665s] [ 68%] 2023-07-07T20:05:40.5291906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0217s] [ 68%] 2023-07-07T20:05:40.5292267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0474s] [ 68%] 2023-07-07T20:05:40.5292899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5293246Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5293583Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5293664Z PASSED [0.0389s] [ 68%] 2023-07-07T20:05:40.5294269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5294608Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5294956Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5295037Z PASSED [0.0385s] [ 68%] 2023-07-07T20:05:40.5295641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5296046Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5297835Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5298213Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5298281Z PASSED [0.0276s] [ 68%] 2023-07-07T20:05:40.5298640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0344s] [ 68%] 2023-07-07T20:05:40.5299255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5299641Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5299974Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5300055Z PASSED [0.0621s] [ 68%] 2023-07-07T20:05:40.5300679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5301021Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5301358Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5301435Z PASSED [0.0576s] [ 68%] 2023-07-07T20:05:40.5301847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0451s] [ 68%] 2023-07-07T20:05:40.5302471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5302870Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5303251Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5303332Z PASSED [0.0483s] [ 68%] 2023-07-07T20:05:40.5303966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5304312Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5304649Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5304993Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5305075Z PASSED [0.0494s] [ 68%] 2023-07-07T20:05:40.5305428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0478s] [ 68%] 2023-07-07T20:05:40.5306038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5306393Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5306715Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5306796Z PASSED [0.0602s] [ 68%] 2023-07-07T20:05:40.5307432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5307773Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5308142Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5308250Z PASSED [0.0599s] [ 69%] 2023-07-07T20:05:40.5308877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5309223Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5309570Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5309906Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5309985Z PASSED [0.0532s] [ 69%] 2023-07-07T20:05:40.5310336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0309s] [ 69%] 2023-07-07T20:05:40.5310946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5311292Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5311628Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5311708Z PASSED [0.0371s] [ 69%] 2023-07-07T20:05:40.5312348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5312693Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5313028Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5313131Z PASSED [0.0340s] [ 69%] 2023-07-07T20:05:40.5313736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5314126Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5318690Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5319041Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5319125Z PASSED [0.0349s] [ 69%] 2023-07-07T20:05:40.5319494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0233s] [ 69%] 2023-07-07T20:05:40.5319864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0232s] [ 69%] 2023-07-07T20:05:40.5320495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5320843Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5321181Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5321263Z PASSED [0.0407s] [ 69%] 2023-07-07T20:05:40.5321918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5322269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5322610Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5322687Z PASSED [0.0410s] [ 69%] 2023-07-07T20:05:40.5323369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5323708Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5324074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5324552Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5324659Z PASSED [0.0409s] [ 69%] 2023-07-07T20:05:40.5325028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0249s] [ 69%] 2023-07-07T20:05:40.5325642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5325988Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5326329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5326671Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5326752Z PASSED [0.0429s] [ 69%] 2023-07-07T20:05:40.5327154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0280s] [ 69%] 2023-07-07T20:05:40.5327515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0209s] [ 69%] 2023-07-07T20:05:40.5327867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0147s] [ 69%] 2023-07-07T20:05:40.5328484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5328898Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5329239Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5329343Z PASSED [0.1125s] [ 69%] 2023-07-07T20:05:40.5329948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5330296Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5330640Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5330980Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5331061Z PASSED [0.1134s] [ 69%] 2023-07-07T20:05:40.5331430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1003s] [ 69%] 2023-07-07T20:05:40.5332038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5332401Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5332738Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5332817Z PASSED [0.1085s] [ 69%] 2023-07-07T20:05:40.5333179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0951s] [ 69%] 2023-07-07T20:05:40.5333781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5334170Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5334508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5334617Z PASSED [0.0709s] [ 69%] 2023-07-07T20:05:40.5335224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5335566Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5335908Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5335990Z PASSED [0.0706s] [ 69%] 2023-07-07T20:05:40.5336596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5336935Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5337274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5337639Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5337705Z PASSED [0.0708s] [ 69%] 2023-07-07T20:05:40.5338218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0594s] [ 69%] 2023-07-07T20:05:40.5339129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5339696Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5340239Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5340358Z PASSED [0.0660s] [ 69%] 2023-07-07T20:05:40.5341311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5341834Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5342346Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5342464Z PASSED [0.0656s] [ 69%] 2023-07-07T20:05:40.5343381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5343903Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5344417Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5344962Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5345079Z PASSED [0.0666s] [ 69%] 2023-07-07T20:05:40.5345619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0542s] [ 69%] 2023-07-07T20:05:40.5346550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5347072Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5347645Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5347761Z PASSED [0.0574s] [ 69%] 2023-07-07T20:05:40.5348687Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5349255Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5349691Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5350033Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5350100Z PASSED [0.0551s] [ 69%] 2023-07-07T20:05:40.5350470Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0429s] [ 69%] 2023-07-07T20:05:40.5351086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5351423Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5351805Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5351887Z PASSED [0.0490s] [ 69%] 2023-07-07T20:05:40.5352254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0377s] [ 69%] 2023-07-07T20:05:40.5352602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0789s] [ 69%] 2023-07-07T20:05:40.5353214Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5353616Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5353956Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5354063Z PASSED [0.0470s] [ 69%] 2023-07-07T20:05:40.5354738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5355088Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5355430Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5355774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5355858Z PASSED [0.0719s] [ 69%] 2023-07-07T20:05:40.5356476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5356824Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5357191Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5357274Z PASSED [0.2306s] [ 69%] 2023-07-07T20:05:40.5357880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5358226Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5358601Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5358965Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5359031Z PASSED [0.2033s] [ 69%] 2023-07-07T20:05:40.5359397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1510s] [ 69%] 2023-07-07T20:05:40.5360047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5360386Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5360721Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5360801Z PASSED [0.1839s] [ 69%] 2023-07-07T20:05:40.5361415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5361752Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5362088Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5362454Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5362536Z PASSED [0.1379s] [ 69%] 2023-07-07T20:05:40.5363149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5363490Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5363856Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5364221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5364300Z PASSED [0.1379s] [ 69%] 2023-07-07T20:05:40.5364806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1513s] [ 69%] 2023-07-07T20:05:40.5365484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5365830Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5366167Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5366508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5366588Z PASSED [0.1168s] [ 69%] 2023-07-07T20:05:40.5366932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0782s] [ 69%] 2023-07-07T20:05:40.5367535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5367935Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5368262Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5368342Z PASSED [0.0994s] [ 69%] 2023-07-07T20:05:40.5368949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5369330Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5369698Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5369778Z PASSED [0.0989s] [ 69%] 2023-07-07T20:05:40.5370413Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5370757Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5371093Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5371433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5371514Z PASSED [0.1287s] [ 69%] 2023-07-07T20:05:40.5371870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1003s] [ 69%] 2023-07-07T20:05:40.5372230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.1003s] [ 69%] 2023-07-07T20:05:40.5372876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5373222Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5373559Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5373638Z PASSED [0.0851s] [ 69%] 2023-07-07T20:05:40.5374251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5374654Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5374991Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5375451Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5375571Z PASSED [0.0850s] [ 69%] 2023-07-07T20:05:40.5376509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5377024Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5377518Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5377637Z PASSED [0.0673s] [ 69%] 2023-07-07T20:05:40.5378543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5379061Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5379612Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5379731Z PASSED [0.0433s] [ 69%] 2023-07-07T20:05:40.5380649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5381162Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5381728Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5381844Z PASSED [0.0399s] [ 69%] 2023-07-07T20:05:40.5382789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5383345Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5383864Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5384377Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5384493Z PASSED [0.0400s] [ 69%] 2023-07-07T20:05:40.5385034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0379s] [ 69%] 2023-07-07T20:05:40.5385955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5386480Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5386865Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5387246Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5387330Z PASSED [0.0338s] [ 69%] 2023-07-07T20:05:40.5387671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0268s] [ 69%] 2023-07-07T20:05:40.5387924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_roi_align PASSED [0.0102s] [ 69%] 2023-07-07T20:05:40.5388172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_roll PASSED [0.0604s] [ 69%] 2023-07-07T20:05:40.5388459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 69%] 2023-07-07T20:05:40.5388749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.0494s] [ 69%] 2023-07-07T20:05:40.5389122Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0009s] (Unsupported opset_version: 14 < 16) [ 69%] 2023-07-07T20:05:40.5389467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 69%] 2023-07-07T20:05:40.5389846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 14 < 16) [ 69%] 2023-07-07T20:05:40.5390158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero SKIPPED [0.0007s] (Unsupported opset_version: 14 < 16) [ 69%] 2023-07-07T20:05:40.5390420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar PASSED [0.0071s] [ 69%] 2023-07-07T20:05:40.5390668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_select PASSED [0.0062s] [ 69%] 2023-07-07T20:05:40.5390933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0063s] [ 69%] 2023-07-07T20:05:40.5391195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float PASSED [0.0055s] [ 69%] 2023-07-07T20:05:40.5391450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int PASSED [0.0054s] [ 69%] 2023-07-07T20:05:40.5391698Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_2 PASSED [0.0071s] [ 69%] 2023-07-07T20:05:40.5391925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_3 PASSED [0.0071s] [ 69%] 2023-07-07T20:05:40.5392161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4 PASSED [0.0072s] [ 69%] 2023-07-07T20:05:40.5392416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop PASSED [0.0075s] [ 69%] 2023-07-07T20:05:40.5392701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0356s] [ 69%] 2023-07-07T20:05:40.5392963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0345s] [ 69%] 2023-07-07T20:05:40.5393207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_size PASSED [0.0349s] [ 69%] 2023-07-07T20:05:40.5393459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic PASSED [0.0531s] [ 69%] 2023-07-07T20:05:40.5393727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script PASSED [0.0187s] [ 69%] 2023-07-07T20:05:40.5394027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index PASSED [0.0447s] [ 69%] 2023-07-07T20:05:40.5394287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0356s] [ 69%] 2023-07-07T20:05:40.5394568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_softmax PASSED [0.0550s] [ 69%] 2023-07-07T20:05:40.5394947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_softmax_large_values PASSED [0.0251s] [ 69%] 2023-07-07T20:05:40.5395225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0100s] [ 69%] 2023-07-07T20:05:40.5395476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sort PASSED [0.0146s] [ 69%] 2023-07-07T20:05:40.5395726Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_split_script PASSED [0.0215s] [ 69%] 2023-07-07T20:05:40.5395987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0009s] [ 69%] 2023-07-07T20:05:40.5396232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_square PASSED [0.0040s] [ 69%] 2023-07-07T20:05:40.5396480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze PASSED [0.0048s] [ 69%] 2023-07-07T20:05:40.5396737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0093s] [ 69%] 2023-07-07T20:05:40.5396996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim PASSED [0.0055s] [ 69%] 2023-07-07T20:05:40.5397249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg PASSED [0.0097s] [ 69%] 2023-07-07T20:05:40.5397514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0054s] [ 69%] 2023-07-07T20:05:40.5397768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0097s] [ 69%] 2023-07-07T20:05:40.5398042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stack PASSED [0.0081s] [ 69%] 2023-07-07T20:05:40.5398300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims PASSED [0.0176s] [ 69%] 2023-07-07T20:05:40.5398541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_correction PASSED [0.0119s] [ 69%] 2023-07-07T20:05:40.5398790Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_keepdim PASSED [0.0346s] [ 69%] 2023-07-07T20:05:40.5399049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction PASSED [0.0158s] [ 69%] 2023-07-07T20:05:40.5399303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0225s] [ 69%] 2023-07-07T20:05:40.5399640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5399960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5400251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0007s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5400580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5400890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5401186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5401486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0009s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5401787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length SKIPPED [0.0008s] (Unsupported opset_version: 14 < 17) [ 69%] 2023-07-07T20:05:40.5402031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_sum PASSED [0.0050s] [ 69%] 2023-07-07T20:05:40.5402306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 PASSED [0.0384s] [ 69%] 2023-07-07T20:05:40.5402564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box PASSED [0.0458s] [ 69%] 2023-07-07T20:05:40.5402837Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.0395s] [ 69%] 2023-07-07T20:05:40.5403109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2 PASSED [0.0123s] [ 69%] 2023-07-07T20:05:40.5403404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time PASSED [0.0691s] [ 69%] 2023-07-07T20:05:40.5403651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu PASSED 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[ 69%] 2023-07-07T20:05:40.5408613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_type_as PASSED [0.0132s] [ 69%] 2023-07-07T20:05:40.5408889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unbind PASSED [0.0193s] [ 69%] 2023-07-07T20:05:40.5409158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic PASSED [0.0051s] [ 69%] 2023-07-07T20:05:40.5409422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList PASSED [0.0056s] [ 69%] 2023-07-07T20:05:40.5409684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape PASSED [0.0056s] [ 69%] 2023-07-07T20:05:40.5409927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unique PASSED [0.0060s] [ 69%] 2023-07-07T20:05:40.5410177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk PASSED [0.0063s] [ 69%] 2023-07-07T20:05:40.5410464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim PASSED [0.0042s] [ 69%] 2023-07-07T20:05:40.5410739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0164s] [ 69%] 2023-07-07T20:05:40.5410990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_correction PASSED [0.0109s] [ 69%] 2023-07-07T20:05:40.5411239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_keepdim PASSED [0.0169s] [ 69%] 2023-07-07T20:05:40.5411513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0142s] [ 69%] 2023-07-07T20:05:40.5411776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim PASSED [0.0073s] [ 69%] 2023-07-07T20:05:40.5412023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_weight_norm PASSED [0.0388s] [ 69%] 2023-07-07T20:05:40.5412380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_where PASSED [0.0047s] [ 69%] 2023-07-07T20:05:40.5412776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script PASSED [0.0284s] [ 69%] 2023-07-07T20:05:40.5413175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_where_with_byte_tensor PASSED [0.0054s] [ 69%] 2023-07-07T20:05:40.5413565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_GRU PASSED [0.0998s] [ 69%] 2023-07-07T20:05:40.5413971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU PASSED [0.0513s] [ 69%] 2023-07-07T20:05:40.5414375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_14_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input PASSED [0.0090s] [ 69%] 2023-07-07T20:05:40.5414764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0392s] [ 69%] 2023-07-07T20:05:40.5415134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_MSELoss PASSED [0.0282s] [ 69%] 2023-07-07T20:05:40.5415544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_add_inplace PASSED [0.0107s] [ 69%] 2023-07-07T20:05:40.5415906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_all PASSED [0.0343s] [ 69%] 2023-07-07T20:05:40.5416374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_none SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 69%] 2023-07-07T20:05:40.5424847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5425445Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5426030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.5426210Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5426773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.5426957Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.5427108Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.5427258Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.5427271Z 2023-07-07T20:05:40.5427363Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.5427512Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.5427659Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.5427796Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.5427802Z 2023-07-07T20:05:40.5427956Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.5428101Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.5428247Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.5428401Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.5428411Z 2023-07-07T20:05:40.5428415Z 2023-07-07T20:05:40.5428559Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.5428705Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.5428854Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.5428992Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.5429012Z 2023-07-07T20:05:40.5429142Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.5429285Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.5429431Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.5429582Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.5429588Z 2023-07-07T20:05:40.5429675Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.5429821Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.5429966Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.5430210Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5430860Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5431465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5432000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.5432151Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5432729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.5432868Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.5432984Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.5432991Z 2023-07-07T20:05:40.5433125Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.5433260Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.5433506Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 69%] 2023-07-07T20:05:40.5434109Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.5434260Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.5434392Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.5434540Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.5434546Z 2023-07-07T20:05:40.5434720Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.5434874Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.5435021Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.5435170Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.5435178Z 2023-07-07T20:05:40.5435325Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.5435470Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.5435603Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.5435758Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.5435766Z 2023-07-07T20:05:40.5435771Z 2023-07-07T20:05:40.5435915Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.5436060Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.5436206Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.5436358Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.5436363Z 2023-07-07T20:05:40.5436508Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.5436652Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.5436784Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.5436933Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.5436938Z 2023-07-07T20:05:40.5437024Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.5437170Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.5437350Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.5437609Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 70%] 2023-07-07T20:05:40.5437862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0110s] [ 70%] 2023-07-07T20:05:40.5438169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0135s] [ 70%] 2023-07-07T20:05:40.5438466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0149s] [ 70%] 2023-07-07T20:05:40.5438767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0138s] [ 70%] 2023-07-07T20:05:40.5439087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0153s] [ 70%] 2023-07-07T20:05:40.5439367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.5555s] [ 70%] 2023-07-07T20:05:40.5439610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_baddbmm PASSED [0.0148s] [ 70%] 2023-07-07T20:05:40.5439893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0193s] [ 70%] 2023-07-07T20:05:40.5440154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1094s] [ 70%] 2023-07-07T20:05:40.5440422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_eval_mode_train_layer PASSED [0.1642s] [ 70%] 2023-07-07T20:05:40.5440678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training PASSED [0.1341s] [ 70%] 2023-07-07T20:05:40.5440950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_batchnorm_training_mode_fix_layer PASSED [0.2234s] [ 70%] 2023-07-07T20:05:40.5447377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits PASSED [0.2158s] [ 70%] 2023-07-07T20:05:40.5447694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_bitshift PASSED [0.0197s] [ 70%] 2023-07-07T20:05:40.5447956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_bitshift_uint8 PASSED [0.0155s] [ 70%] 2023-07-07T20:05:40.5448207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_cast_to PASSED [0.0088s] [ 70%] 2023-07-07T20:05:40.5448455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_celu_alpha PASSED [0.0094s] [ 70%] 2023-07-07T20:05:40.5448691Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_celu_cast PASSED [0.0101s] [ 70%] 2023-07-07T20:05:40.5448937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_celu_default PASSED [0.0091s] [ 70%] 2023-07-07T20:05:40.5449266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_clamp_dyn PASSED [0.0721s] [ 70%] 2023-07-07T20:05:40.5449574Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_clip_boxes_to_image SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_mish PASSED [0.0131s] [ 70%] 2023-07-07T20:05:40.5489262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor SKIPPED [0.0012s] (Skip verify test for TorchScript.) 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[ 71%] 2023-07-07T20:05:40.5549633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_roi_align_aligned SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 71%] 2023-07-07T20:05:40.5550004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_roll PASSED [0.0523s] [ 71%] 2023-07-07T20:05:40.5550412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rrelu_eval PASSED [0.0076s] [ 71%] 2023-07-07T20:05:40.5550788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0100s] [ 71%] 2023-07-07T20:05:40.5551148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0099s] [ 71%] 2023-07-07T20:05:40.5551528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scalar_tensor 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15 < 16) [ 71%] 2023-07-07T20:05:40.5553877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0007s] (Unsupported opset_version: 15 < 16) [ 71%] 2023-07-07T20:05:40.5554266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar PASSED [0.0115s] [ 71%] 2023-07-07T20:05:40.5554806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0116s] [ 71%] 2023-07-07T20:05:40.5555177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_select PASSED [0.0128s] [ 71%] 2023-07-07T20:05:40.5555569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0135s] [ 71%] 2023-07-07T20:05:40.5555951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_sequence_to_bool PASSED [0.0178s] [ 71%] 2023-07-07T20:05:40.5556324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0168s] [ 71%] 2023-07-07T20:05:40.5556695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_2 PASSED [0.0190s] [ 71%] 2023-07-07T20:05:40.5557088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0313s] [ 71%] 2023-07-07T20:05:40.5557501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_in_loop PASSED [0.1185s] [ 71%] 2023-07-07T20:05:40.5557886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules PASSED [0.0505s] [ 71%] 2023-07-07T20:05:40.5558307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0709s] [ 71%] 2023-07-07T20:05:40.5558696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_shape_constant_fold PASSED [0.0103s] [ 71%] 2023-07-07T20:05:40.5559062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_silu PASSED [0.0095s] [ 71%] 2023-07-07T20:05:40.5559465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script PASSED [0.0266s] [ 71%] 2023-07-07T20:05:40.5559918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_slice_dynamic_to_end SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 71%] 2023-07-07T20:05:40.5560331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_slice_with_input_step_size PASSED [0.0556s] [ 71%] 2023-07-07T20:05:40.5560594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_softplus PASSED [0.0326s] [ 71%] 2023-07-07T20:05:40.5560844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0333s] [ 71%] 2023-07-07T20:05:40.5561097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_softshrink_dtype PASSED [0.0118s] [ 71%] 2023-07-07T20:05:40.5561389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_spectral_norm SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 71%] 2023-07-07T20:05:40.5561657Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 71%] 2023-07-07T20:05:40.5561906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic PASSED [0.0184s] [ 71%] 2023-07-07T20:05:40.5562204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0010s] [ 71%] 2023-07-07T20:05:40.5562464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0117s] [ 71%] 2023-07-07T20:05:40.5562703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_square PASSED [0.0093s] [ 71%] 2023-07-07T20:05:40.5562941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0101s] [ 71%] 2023-07-07T20:05:40.5563192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0083s] [ 71%] 2023-07-07T20:05:40.5563476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic PASSED [0.0131s] [ 71%] 2023-07-07T20:05:40.5563731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim PASSED [0.0107s] [ 71%] 2023-07-07T20:05:40.5564001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg PASSED [0.0136s] [ 71%] 2023-07-07T20:05:40.5564260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0086s] [ 71%] 2023-07-07T20:05:40.5564668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0134s] [ 71%] 2023-07-07T20:05:40.5564932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0367s] [ 71%] 2023-07-07T20:05:40.5565177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0086s] [ 71%] 2023-07-07T20:05:40.5565429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic PASSED [0.0092s] [ 71%] 2023-07-07T20:05:40.5565677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0162s] [ 71%] 2023-07-07T20:05:40.5565925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0280s] [ 71%] 2023-07-07T20:05:40.5566170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0251s] [ 71%] 2023-07-07T20:05:40.5566427Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0165s] [ 71%] 2023-07-07T20:05:40.5566679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0288s] [ 71%] 2023-07-07T20:05:40.5566967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 15 < 17) [ 71%] 2023-07-07T20:05:40.5567274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 15 < 17) [ 71%] 2023-07-07T20:05:40.5567639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 15 < 17) [ 71%] 2023-07-07T20:05:40.5567940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 15 < 17) [ 71%] 2023-07-07T20:05:40.5568235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0007s] (Unsupported opset_version: 15 < 17) [ 71%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box PASSED [0.0932s] [ 72%] 2023-07-07T20:05:40.5569952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes PASSED [0.0171s] [ 72%] 2023-07-07T20:05:40.5570225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0136s] [ 72%] 2023-07-07T20:05:40.5570496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0803s] [ 72%] 2023-07-07T20:05:40.5570763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0200s] [ 72%] 2023-07-07T20:05:40.5571068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5571314Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0160s] [ 72%] 2023-07-07T20:05:40.5571563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0098s] [ 72%] 2023-07-07T20:05:40.5571805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor PASSED [0.0753s] [ 72%] 2023-07-07T20:05:40.5572086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0258s] [ 72%] 2023-07-07T20:05:40.5572349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0187s] [ 72%] 2023-07-07T20:05:40.5572582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_split PASSED [0.0669s] [ 72%] 2023-07-07T20:05:40.5572866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar PASSED [0.0170s] [ 72%] 2023-07-07T20:05:40.5573125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list PASSED [0.0290s] [ 72%] 2023-07-07T20:05:40.5573382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim PASSED [0.0298s] [ 72%] 2023-07-07T20:05:40.5573617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_topk PASSED [0.0123s] [ 72%] 2023-07-07T20:05:40.5573862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0126s] [ 72%] 2023-07-07T20:05:40.5574118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted PASSED [0.0173s] [ 72%] 2023-07-07T20:05:40.5574442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 72%] 2023-07-07T20:05:40.5589675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.5589831Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.5589978Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.5590131Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.5590147Z 2023-07-07T20:05:40.5590236Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.5590369Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.5590517Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.5590666Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.5590672Z 2023-07-07T20:05:40.5590818Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.5591001Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.5591150Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.5591303Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.5591309Z 2023-07-07T20:05:40.5591314Z 2023-07-07T20:05:40.5591459Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.5591618Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.5591764Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.5591913Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.5591919Z 2023-07-07T20:05:40.5592062Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.5592234Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.5592378Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.5592525Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.5592535Z 2023-07-07T20:05:40.5592622Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.5592766Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.5592896Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.5593153Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5593778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5594319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.5594471Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5595174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5595793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5596393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.5596538Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.5596624Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.5596630Z 2023-07-07T20:05:40.5596763Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.5596901Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.5597131Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5597690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.5597846Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.5598025Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.5598178Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.5598185Z 2023-07-07T20:05:40.5598273Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.5598418Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.5598562Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.5598739Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.5598746Z 2023-07-07T20:05:40.5598880Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.5599027Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.5599202Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.5599353Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.5599359Z 2023-07-07T20:05:40.5599364Z 2023-07-07T20:05:40.5599507Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.5599656Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.5599799Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.5599947Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.5599953Z 2023-07-07T20:05:40.5600083Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.5600228Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.5600372Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.5600519Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.5600525Z 2023-07-07T20:05:40.5600613Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.5600757Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.5600898Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.5601158Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 72%] 2023-07-07T20:05:40.5601469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0161s] [ 72%] 2023-07-07T20:05:40.5601760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0216s] [ 72%] 2023-07-07T20:05:40.5602057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0197s] [ 72%] 2023-07-07T20:05:40.5602319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0207s] [ 72%] 2023-07-07T20:05:40.5602608Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0173s] [ 72%] 2023-07-07T20:05:40.5602873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0276s] [ 72%] 2023-07-07T20:05:40.5603126Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d PASSED [0.1778s] [ 72%] 2023-07-07T20:05:40.5603383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine PASSED [0.1778s] [ 72%] 2023-07-07T20:05:40.5603656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer PASSED [0.2079s] [ 72%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_gather_constant_fold SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 74%] 2023-07-07T20:05:40.5722670Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rnn_no_bias SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5723042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_roi_align_aligned SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 74%] 2023-07-07T20:05:40.5723409Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_roi_pool SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 74%] 2023-07-07T20:05:40.5723651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_roll PASSED [0.0520s] [ 74%] 2023-07-07T20:05:40.5723892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_round PASSED [0.0090s] [ 74%] 2023-07-07T20:05:40.5724174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_rrelu_eval PASSED [0.0075s] [ 74%] 2023-07-07T20:05:40.5724588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 74%] 2023-07-07T20:05:40.5724844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scalar_tensor PASSED [0.0161s] [ 74%] 2023-07-07T20:05:40.5725088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.1788s] [ 74%] 2023-07-07T20:05:40.5725424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0009s] (Unsupported opset_version: 15 < 16) [ 74%] 2023-07-07T20:05:40.5725766Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 SKIPPED [0.0008s] (Unsupported opset_version: 15 < 16) [ 74%] 2023-07-07T20:05:40.5726073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique SKIPPED [0.0007s] (Unsupported opset_version: 15 < 16) [ 74%] 2023-07-07T20:05:40.5726365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0007s] (Unsupported opset_version: 15 < 16) [ 74%] 2023-07-07T20:05:40.5726612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0135s] [ 74%] 2023-07-07T20:05:40.5726878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sequance_loopcarried PASSED [0.0136s] [ 74%] 2023-07-07T20:05:40.5727183Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sequence_to_bool PASSED [0.0176s] [ 74%] 2023-07-07T20:05:40.5727462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_2 PASSED [0.0188s] [ 74%] 2023-07-07T20:05:40.5727703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_4 PASSED [0.0270s] [ 74%] 2023-07-07T20:05:40.5727944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_5 PASSED [0.0771s] [ 74%] 2023-07-07T20:05:40.5728232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules PASSED [0.0511s] [ 74%] 2023-07-07T20:05:40.5728487Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0711s] [ 74%] 2023-07-07T20:05:40.5728782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5729081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_to_end SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5729324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_neg PASSED [0.0136s] [ 74%] 2023-07-07T20:05:40.5729607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_neg_large PASSED [0.0216s] [ 74%] 2023-07-07T20:05:40.5729869Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0560s] [ 74%] 2023-07-07T20:05:40.5730112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0121s] [ 74%] 2023-07-07T20:05:40.5730392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sort SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5730684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_sort_ascending SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5730977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_spectral_norm SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5731275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5731530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes PASSED [0.0110s] [ 74%] 2023-07-07T20:05:40.5731777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_script PASSED [0.0356s] [ 74%] 2023-07-07T20:05:40.5732069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5732325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0008s] [ 74%] 2023-07-07T20:05:40.5732604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0083s] [ 74%] 2023-07-07T20:05:40.5732883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg PASSED [0.0129s] [ 74%] 2023-07-07T20:05:40.5733148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0089s] [ 74%] 2023-07-07T20:05:40.5733391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0130s] [ 74%] 2023-07-07T20:05:40.5733671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_squeeze_runtime_dim PASSED [0.0368s] [ 74%] 2023-07-07T20:05:40.5733902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_stack PASSED [0.0133s] [ 74%] 2023-07-07T20:05:40.5734150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_along_dims PASSED [0.0268s] [ 74%] 2023-07-07T20:05:40.5734389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0250s] [ 74%] 2023-07-07T20:05:40.5734645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0274s] [ 74%] 2023-07-07T20:05:40.5734925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0269s] [ 74%] 2023-07-07T20:05:40.5735215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_stft_default SKIPPED [0.0010s] (Unsupported opset_version: 15 < 17) [ 74%] 2023-07-07T20:05:40.5735507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_stft_one_dimension SKIPPED [0.0008s] (Unsupported opset_version: 15 < 17) [ 74%] 2023-07-07T20:05:40.5735767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference PASSED [0.0546s] [ 74%] 2023-07-07T20:05:40.5736042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 PASSED [0.0434s] [ 74%] 2023-07-07T20:05:40.5736309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box PASSED [0.0856s] [ 74%] 2023-07-07T20:05:40.5736575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if PASSED [0.0199s] [ 74%] 2023-07-07T20:05:40.5736847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.1604s] [ 74%] 2023-07-07T20:05:40.5737113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0421s] [ 74%] 2023-07-07T20:05:40.5737369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2 PASSED [0.0202s] [ 74%] 2023-07-07T20:05:40.5737609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_take PASSED [0.0118s] [ 74%] 2023-07-07T20:05:40.5737878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0145s] [ 74%] 2023-07-07T20:05:40.5738155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0094s] [ 74%] 2023-07-07T20:05:40.5738409Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories PASSED [0.0203s] [ 74%] 2023-07-07T20:05:40.5738667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories_script PASSED [0.0167s] [ 74%] 2023-07-07T20:05:40.5738983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0243s] [ 74%] 2023-07-07T20:05:40.5739247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script PASSED [0.0180s] [ 74%] 2023-07-07T20:05:40.5739492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tensor_split PASSED [0.0618s] [ 74%] 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2023-07-07T20:05:40.5741003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0095s] [ 74%] 2023-07-07T20:05:40.5741257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted PASSED [0.0166s] [ 74%] 2023-07-07T20:05:40.5741499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0093s] [ 74%] 2023-07-07T20:05:40.5741798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_transform_images SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5742039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_triu PASSED [0.0458s] [ 74%] 2023-07-07T20:05:40.5742315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script PASSED [0.0344s] [ 74%] 2023-07-07T20:05:40.5742561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_output PASSED [0.0146s] [ 74%] 2023-07-07T20:05:40.5742843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception PASSED [0.0203s] [ 74%] 2023-07-07T20:05:40.5743133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input PASSED [0.0156s] [ 74%] 2023-07-07T20:05:40.5743412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_type_as PASSED [0.0357s] [ 74%] 2023-07-07T20:05:40.5743652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unfold PASSED [0.0177s] [ 74%] 2023-07-07T20:05:40.5743908Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unfold_dynamic_inputs PASSED [0.0498s] [ 74%] 2023-07-07T20:05:40.5744175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized PASSED [0.0157s] [ 74%] 2023-07-07T20:05:40.5744441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList PASSED [0.0265s] [ 74%] 2023-07-07T20:05:40.5744744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_optional SKIPPED [0.0009s] (Unsupported opset_version: 15 < 16) [ 74%] 2023-07-07T20:05:40.5745011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape PASSED [0.0366s] [ 74%] 2023-07-07T20:05:40.5745247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unique PASSED [0.0110s] [ 74%] 2023-07-07T20:05:40.5745563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_unsafe_chunk SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5745818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0256s] [ 74%] 2023-07-07T20:05:40.5746066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_correction PASSED [0.0150s] [ 74%] 2023-07-07T20:05:40.5746312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim PASSED [0.0259s] [ 74%] 2023-07-07T20:05:40.5746552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0231s] [ 74%] 2023-07-07T20:05:40.5746808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_var_mean_correction PASSED [0.0153s] [ 74%] 2023-07-07T20:05:40.5747057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_view_dynamic PASSED [0.0179s] [ 74%] 2023-07-07T20:05:40.5747348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 74%] 2023-07-07T20:05:40.5747890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script PASSED [0.0258s] [ 74%] 2023-07-07T20:05:40.5748148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor PASSED [0.0415s] [ 74%] 2023-07-07T20:05:40.5748446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH PASSED [0.0959s] [ 74%] 2023-07-07T20:05:40.5748778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_True_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 74%] 2023-07-07T20:05:40.5749036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0069s] [ 74%] 2023-07-07T20:05:40.5749278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_MSELoss PASSED [0.0259s] [ 74%] 2023-07-07T20:05:40.5749555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0096s] [ 74%] 2023-07-07T20:05:40.5749952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor PASSED [0.0110s] [ 74%] 2023-07-07T20:05:40.5750323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0073s] [ 74%] 2023-07-07T20:05:40.5750690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0100s] [ 74%] 2023-07-07T20:05:40.5751050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_any PASSED [0.0182s] [ 74%] 2023-07-07T20:05:40.5751423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_out PASSED [0.0078s] [ 74%] 2023-07-07T20:05:40.5751827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0139s] [ 74%] 2023-07-07T20:05:40.5752233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype PASSED [0.0158s] [ 74%] 2023-07-07T20:05:40.5752614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out PASSED [0.0197s] [ 74%] 2023-07-07T20:05:40.5753000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats PASSED [0.0533s] [ 74%] 2023-07-07T20:05:40.5753408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index PASSED [0.0342s] [ 74%] 2023-07-07T20:05:40.5753782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_argsort PASSED [0.0068s] [ 74%] 2023-07-07T20:05:40.5754259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision SKIPPED [0.0009s] (Unsupported opset_version: 15 > 13) [ 74%] 2023-07-07T20:05:40.5754728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool PASSED [0.0109s] [ 74%] 2023-07-07T20:05:40.5755100Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_as_strided PASSED [0.0316s] [ 74%] 2023-07-07T20:05:40.5755925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0107s] [ 74%] 2023-07-07T20:05:40.5756723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0128s] [ 74%] 2023-07-07T20:05:40.5757588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0053s] [ 74%] 2023-07-07T20:05:40.5758440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.5758673Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.5758784Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.5758803Z 2023-07-07T20:05:40.5759004Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.5759202Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.5759484Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0043s] [ 74%] 2023-07-07T20:05:40.5760321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0051s] [ 74%] 2023-07-07T20:05:40.5761174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0049s] [ 74%] 2023-07-07T20:05:40.5761985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.5762129Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.5762213Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.5762219Z 2023-07-07T20:05:40.5762353Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.5762475Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.5762658Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0039s] [ 74%] 2023-07-07T20:05:40.5763195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0048s] [ 74%] 2023-07-07T20:05:40.5763755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.5763907Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.5764052Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.5764205Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.5764211Z 2023-07-07T20:05:40.5764300Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.5764611Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.5764768Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.5764907Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.5764913Z 2023-07-07T20:05:40.5765057Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.5765201Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.5765408Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.5765560Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.5765567Z 2023-07-07T20:05:40.5765574Z 2023-07-07T20:05:40.5765716Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.5765898Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.5766045Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.5766181Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.5766187Z 2023-07-07T20:05:40.5766329Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.5766472Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.5766654Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.5766801Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.5766806Z 2023-07-07T20:05:40.5766896Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.5767039Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.5767180Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.5767360Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0038s] [ 74%] 2023-07-07T20:05:40.5767616Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_auto_grad PASSED [0.0086s] [ 74%] 2023-07-07T20:05:40.5767872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0073s] [ 74%] 2023-07-07T20:05:40.5768179Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0129s] [ 74%] 2023-07-07T20:05:40.5768530Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0118s] [ 74%] 2023-07-07T20:05:40.5768832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0117s] [ 74%] 2023-07-07T20:05:40.5769084Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_3d_ceil PASSED [0.5226s] [ 74%] 2023-07-07T20:05:40.5769347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0108s] [ 74%] 2023-07-07T20:05:40.5769606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine PASSED [0.0147s] [ 74%] 2023-07-07T20:05:40.5769863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0371s] [ 74%] 2023-07-07T20:05:40.5770123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0233s] [ 74%] 2023-07-07T20:05:40.5770376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d PASSED [0.1871s] [ 74%] 2023-07-07T20:05:40.5770633Z 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opset_version: 15 < 16) [ 75%] 2023-07-07T20:05:40.5787200Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 75%] 2023-07-07T20:05:40.5787601Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 75%] 2023-07-07T20:05:40.5788054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 75%] 2023-07-07T20:05:40.5788585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 75%] 2023-07-07T20:05:40.5789087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True SKIPPED [0.0014s] (Unsupported opset_version: 15 < 16) [ 75%] 2023-07-07T20:05:40.5789584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 75%] 2023-07-07T20:05:40.5789977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding PASSED [0.1606s] [ 75%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave PASSED [0.0598s] [ 75%] 2023-07-07T20:05:40.5814249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_mv PASSED [0.0108s] [ 75%] 2023-07-07T20:05:40.5814490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_narrow PASSED [0.0096s] [ 75%] 2023-07-07T20:05:40.5814744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0087s] [ 75%] 2023-07-07T20:05:40.5814985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss PASSED [0.0140s] [ 75%] 2023-07-07T20:05:40.5815258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index_weights PASSED [0.0195s] [ 75%] 2023-07-07T20:05:40.5815521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none PASSED [0.0197s] [ 75%] 2023-07-07T20:05:40.5815791Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nllloss_dynamic_ignore_index PASSED [0.0173s] [ 75%] 2023-07-07T20:05:40.5816028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nms PASSED [0.0143s] [ 75%] 2023-07-07T20:05:40.5816291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness PASSED [0.0180s] [ 75%] 2023-07-07T20:05:40.5816537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_normalize PASSED [0.0164s] [ 75%] 2023-07-07T20:05:40.5816781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_numel PASSED [0.0083s] [ 75%] 2023-07-07T20:05:40.5817022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_numpy_T PASSED [0.0055s] [ 75%] 2023-07-07T20:05:40.5817263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0156s] [ 75%] 2023-07-07T20:05:40.5817571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0 SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 75%] 2023-07-07T20:05:40.5817883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 75%] 2023-07-07T20:05:40.5818221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 75%] 2023-07-07T20:05:40.5818556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 75%] 2023-07-07T20:05:40.5818795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_outer PASSED [0.0209s] [ 75%] 2023-07-07T20:05:40.5819042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_circular PASSED [0.0157s] [ 75%] 2023-07-07T20:05:40.5819322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes PASSED [0.0165s] [ 75%] 2023-07-07T20:05:40.5819566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_int PASSED [0.0163s] [ 75%] 2023-07-07T20:05:40.5819821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list PASSED [0.0166s] [ 75%] 2023-07-07T20:05:40.5820085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list PASSED [0.0152s] [ 75%] 2023-07-07T20:05:40.5820336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0085s] [ 75%] 2023-07-07T20:05:40.5820606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_pow PASSED [0.0299s] [ 75%] 2023-07-07T20:05:40.5820851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_prelu PASSED [0.0053s] [ 75%] 2023-07-07T20:05:40.5821101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar PASSED [0.0043s] [ 75%] 2023-07-07T20:05:40.5821344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_prim_min PASSED [0.0225s] [ 75%] 2023-07-07T20:05:40.5821602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0053s] [ 75%] 2023-07-07T20:05:40.5821885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0196s] [ 75%] 2023-07-07T20:05:40.5822165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0131s] [ 75%] 2023-07-07T20:05:40.5822399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d PASSED [0.0761s] [ 75%] 2023-07-07T20:05:40.5822656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel PASSED [0.0650s] [ 75%] 2023-07-07T20:05:40.5823157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_maxpool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5823543Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5823621Z PASSED [0.0270s] [ 75%] 2023-07-07T20:05:40.5824148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5824515Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5824597Z PASSED [0.0232s] [ 75%] 2023-07-07T20:05:40.5825277Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_qat_upsample_nearest2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5825795Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5825909Z PASSED [0.0260s] [ 75%] 2023-07-07T20:05:40.5826339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale PASSED [0.0207s] [ 75%] 2023-07-07T20:05:40.5826757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d PASSED [0.0534s] [ 75%] 2023-07-07T20:05:40.5827149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d PASSED [0.0563s] [ 75%] 2023-07-07T20:05:40.5827550Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d PASSED [0.0530s] [ 75%] 2023-07-07T20:05:40.5827944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d PASSED [0.1350s] [ 75%] 2023-07-07T20:05:40.5828515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0003s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 75%] 2023-07-07T20:05:40.5828924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided PASSED [0.0211s] [ 75%] 2023-07-07T20:05:40.5829326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand PASSED [0.0225s] [ 75%] 2023-07-07T20:05:40.5829737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm PASSED [0.0254s] [ 75%] 2023-07-07T20:05:40.5830143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm PASSED [0.0336s] [ 75%] 2023-07-07T20:05:40.5830541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu PASSED [0.0194s] [ 75%] 2023-07-07T20:05:40.5830992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid PASSED [0.0191s] [ 75%] 2023-07-07T20:05:40.5831423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh PASSED [0.0194s] [ 76%] 2023-07-07T20:05:40.5831788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_randn PASSED [0.0118s] [ 76%] 2023-07-07T20:05:40.5832198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_randn_dtype PASSED [0.0140s] [ 76%] 2023-07-07T20:05:40.5832583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0131s] [ 76%] 2023-07-07T20:05:40.5832964Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reciprocal PASSED [0.0135s] [ 76%] 2023-07-07T20:05:40.5833337Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0122s] [ 76%] 2023-07-07T20:05:40.5833688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0051s] [ 76%] 2023-07-07T20:05:40.5834074Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_replication_pad PASSED [0.0312s] [ 76%] 2023-07-07T20:05:40.5834944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 76%] 2023-07-07T20:05:40.5835346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold PASSED [0.0083s] [ 76%] 2023-07-07T20:05:40.5835745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0080s] [ 76%] 2023-07-07T20:05:40.5836121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_resize_images PASSED [0.0620s] [ 76%] 2023-07-07T20:05:40.5837064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5837589Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5838108Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5838221Z PASSED [0.0760s] [ 76%] 2023-07-07T20:05:40.5839157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5839734Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5840247Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5840736Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5840816Z PASSED [0.0765s] [ 76%] 2023-07-07T20:05:40.5841176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0606s] [ 76%] 2023-07-07T20:05:40.5841787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5842166Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5842510Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5842586Z PASSED [0.0489s] [ 76%] 2023-07-07T20:05:40.5843198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5843542Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5843880Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5843945Z PASSED [0.0480s] [ 76%] 2023-07-07T20:05:40.5844684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5845101Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5845477Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5845823Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5845941Z PASSED [0.0487s] [ 76%] 2023-07-07T20:05:40.5846560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5846901Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5847238Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5847612Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5847693Z PASSED [0.0492s] [ 76%] 2023-07-07T20:05:40.5848063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0361s] [ 76%] 2023-07-07T20:05:40.5848428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0363s] [ 76%] 2023-07-07T20:05:40.5849032Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5849375Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5849712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5849791Z PASSED [0.0422s] [ 76%] 2023-07-07T20:05:40.5850143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0310s] [ 76%] 2023-07-07T20:05:40.5850560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0309s] [ 76%] 2023-07-07T20:05:40.5851165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5851541Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5851885Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5851963Z PASSED [0.0375s] [ 76%] 2023-07-07T20:05:40.5852555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5852952Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5853279Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5853356Z PASSED [0.0373s] [ 76%] 2023-07-07T20:05:40.5853952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5854318Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5854660Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5854996Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5855075Z PASSED [0.0381s] [ 76%] 2023-07-07T20:05:40.5855435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0261s] [ 76%] 2023-07-07T20:05:40.5856108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5856471Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5856810Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5856889Z PASSED [0.0337s] [ 76%] 2023-07-07T20:05:40.5857499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5857873Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5858212Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5858549Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5858625Z PASSED [0.0348s] [ 76%] 2023-07-07T20:05:40.5858988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0237s] [ 76%] 2023-07-07T20:05:40.5859606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5859946Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5860281Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5860358Z PASSED [0.0293s] [ 76%] 2023-07-07T20:05:40.5861023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5861362Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5861719Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5862059Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5862135Z PASSED [0.0298s] [ 76%] 2023-07-07T20:05:40.5862747Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5863121Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5863461Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5863795Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5863870Z PASSED [0.0294s] [ 76%] 2023-07-07T20:05:40.5864236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0179s] [ 76%] 2023-07-07T20:05:40.5864849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5865193Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5865528Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5865896Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5865972Z PASSED [0.0306s] [ 76%] 2023-07-07T20:05:40.5866354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0198s] [ 76%] 2023-07-07T20:05:40.5866969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5867338Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5867676Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5867752Z PASSED [0.0258s] [ 76%] 2023-07-07T20:05:40.5868375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5868717Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5869054Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5869385Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5869453Z PASSED [0.0262s] [ 76%] 2023-07-07T20:05:40.5870069Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5870406Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5870739Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5870847Z PASSED [0.0532s] [ 76%] 2023-07-07T20:05:40.5871489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5871825Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5872185Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5872262Z PASSED [0.0533s] [ 76%] 2023-07-07T20:05:40.5872858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5873192Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5873555Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5873895Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5873971Z PASSED [0.0543s] [ 76%] 2023-07-07T20:05:40.5874333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0421s] [ 76%] 2023-07-07T20:05:40.5875029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5875374Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5875710Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5875788Z PASSED [0.0492s] [ 76%] 2023-07-07T20:05:40.5876154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0362s] [ 76%] 2023-07-07T20:05:40.5876817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5877155Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5877520Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5877859Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5877923Z PASSED [0.0426s] [ 76%] 2023-07-07T20:05:40.5878518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5878894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5879232Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5879565Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5879644Z PASSED [0.0424s] [ 76%] 2023-07-07T20:05:40.5879997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0332s] [ 76%] 2023-07-07T20:05:40.5880357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0329s] [ 76%] 2023-07-07T20:05:40.5880961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5881304Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5881698Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5881777Z PASSED [0.0399s] [ 76%] 2023-07-07T20:05:40.5882131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0273s] [ 76%] 2023-07-07T20:05:40.5882757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5883095Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5883429Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5883792Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5883872Z PASSED [0.0362s] [ 76%] 2023-07-07T20:05:40.5884230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0240s] [ 76%] 2023-07-07T20:05:40.5884964Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5885312Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5885650Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5885730Z PASSED [0.0301s] [ 76%] 2023-07-07T20:05:40.5886334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5886673Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5887085Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5887410Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5887520Z PASSED [0.0303s] [ 76%] 2023-07-07T20:05:40.5888117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5888461Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5888798Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5888877Z PASSED [0.0322s] [ 76%] 2023-07-07T20:05:40.5889528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5889872Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5890211Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5890289Z PASSED [0.0321s] [ 76%] 2023-07-07T20:05:40.5890897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5891241Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5891581Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5891919Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5892027Z PASSED [0.0324s] [ 76%] 2023-07-07T20:05:40.5892404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0387s] [ 76%] 2023-07-07T20:05:40.5892758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0269s] [ 76%] 2023-07-07T20:05:40.5893384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5893730Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5894068Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5894147Z PASSED [0.0273s] [ 76%] 2023-07-07T20:05:40.5894775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5895115Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5895447Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5895773Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5895851Z PASSED [0.0269s] [ 76%] 2023-07-07T20:05:40.5896448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5896784Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5897150Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5897514Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5897592Z PASSED [0.0264s] [ 76%] 2023-07-07T20:05:40.5897944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0148s] [ 76%] 2023-07-07T20:05:40.5898336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0149s] [ 76%] 2023-07-07T20:05:40.5898949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5899288Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5899652Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5899990Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5900066Z PASSED [0.1164s] [ 76%] 2023-07-07T20:05:40.5900672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5901015Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5901355Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5901691Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5901770Z PASSED [0.1168s] [ 76%] 2023-07-07T20:05:40.5902378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5902774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5903106Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5903212Z PASSED [0.1120s] [ 76%] 2023-07-07T20:05:40.5903809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5904144Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5904474Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5904556Z PASSED [0.1121s] [ 76%] 2023-07-07T20:05:40.5905195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5905534Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5905874Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5906216Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5906297Z PASSED [0.1123s] [ 76%] 2023-07-07T20:05:40.5906896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5907235Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5907593Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5907704Z PASSED [0.0738s] [ 76%] 2023-07-07T20:05:40.5908307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5908677Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5909015Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5909090Z PASSED [0.0727s] [ 76%] 2023-07-07T20:05:40.5909440Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0614s] [ 76%] 2023-07-07T20:05:40.5910062Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5910402Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5910738Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5910815Z PASSED [0.0683s] [ 76%] 2023-07-07T20:05:40.5911408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5911747Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5912084Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5912408Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5912511Z PASSED [0.0684s] [ 76%] 2023-07-07T20:05:40.5912890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0560s] [ 76%] 2023-07-07T20:05:40.5913493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5913863Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5914206Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5914282Z PASSED [0.0543s] [ 76%] 2023-07-07T20:05:40.5914978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5915352Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5915691Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5915767Z PASSED [0.0550s] [ 76%] 2023-07-07T20:05:40.5916125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0428s] [ 76%] 2023-07-07T20:05:40.5916739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5917073Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5917404Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5917483Z PASSED [0.0492s] [ 76%] 2023-07-07T20:05:40.5918125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5918483Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5918838Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5919176Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5919251Z PASSED [0.0495s] [ 76%] 2023-07-07T20:05:40.5919613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0378s] [ 76%] 2023-07-07T20:05:40.5919960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0376s] [ 76%] 2023-07-07T20:05:40.5920720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5921256Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5921753Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5922263Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5922380Z PASSED [0.0418s] [ 76%] 2023-07-07T20:05:40.5923294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5923805Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5924322Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5925038Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5925156Z PASSED [0.0417s] [ 76%] 2023-07-07T20:05:40.5925694Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0247s] [ 76%] 2023-07-07T20:05:40.5926665Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5927181Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5927688Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5927802Z PASSED [0.1204s] [ 76%] 2023-07-07T20:05:40.5928783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5929294Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5929796Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5929913Z PASSED [0.1198s] [ 76%] 2023-07-07T20:05:40.5930836Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5931353Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5931865Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5932422Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5932534Z PASSED [0.1207s] [ 76%] 2023-07-07T20:05:40.5933093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1040s] [ 76%] 2023-07-07T20:05:40.5934018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5934567Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5935072Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5935186Z PASSED [0.1164s] [ 76%] 2023-07-07T20:05:40.5936181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5936700Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5937203Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5937316Z PASSED [0.1157s] [ 76%] 2023-07-07T20:05:40.5938242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5938748Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5939199Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5939539Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5939660Z PASSED [0.1164s] [ 76%] 2023-07-07T20:05:40.5940048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1015s] [ 76%] 2023-07-07T20:05:40.5940651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5941019Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5941353Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5941429Z PASSED [0.1005s] [ 76%] 2023-07-07T20:05:40.5942026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5942392Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5942733Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5943067Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5943145Z PASSED [0.1248s] [ 76%] 2023-07-07T20:05:40.5943729Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5944080Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5944403Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5944741Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5944847Z PASSED [0.0770s] [ 76%] 2023-07-07T20:05:40.5945470Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5945807Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5946174Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5946254Z PASSED [0.0725s] [ 76%] 2023-07-07T20:05:40.5946859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5947200Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5947564Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5947644Z PASSED [0.0723s] [ 76%] 2023-07-07T20:05:40.5948251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5948594Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5948930Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5949262Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5949339Z PASSED [0.0728s] [ 76%] 2023-07-07T20:05:40.5949688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0616s] [ 76%] 2023-07-07T20:05:40.5950046Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0613s] [ 76%] 2023-07-07T20:05:40.5950713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5951051Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5951417Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5951755Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5951820Z PASSED [0.0546s] [ 76%] 2023-07-07T20:05:40.5952457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5952801Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5953135Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5953470Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5953549Z PASSED [0.0484s] [ 76%] 2023-07-07T20:05:40.5953912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0386s] [ 76%] 2023-07-07T20:05:40.5954278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0385s] [ 76%] 2023-07-07T20:05:40.5954954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5955300Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5955696Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5955774Z PASSED [0.0406s] [ 76%] 2023-07-07T20:05:40.5956364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5956736Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5957068Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5957400Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5957479Z PASSED [0.0406s] [ 76%] 2023-07-07T20:05:40.5958101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5958445Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5958778Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5959116Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5959193Z PASSED [0.0408s] [ 76%] 2023-07-07T20:05:40.5959546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0290s] [ 76%] 2023-07-07T20:05:40.5960144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5960485Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5960886Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5960952Z PASSED [0.0348s] [ 76%] 2023-07-07T20:05:40.5961557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5961929Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5962265Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5962340Z PASSED [0.0345s] [ 76%] 2023-07-07T20:05:40.5962971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5963310Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5963646Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5963982Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.5964063Z PASSED [0.0346s] [ 76%] 2023-07-07T20:05:40.5964554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0638s] [ 76%] 2023-07-07T20:05:40.5964918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0348s] [ 76%] 2023-07-07T20:05:40.5965164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_roi_align PASSED [0.0138s] [ 76%] 2023-07-07T20:05:40.5965455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_roi_align_aligned SKIPPED [0.0009s] (Unsupported opset_version: 15 < 16) [ 76%] 2023-07-07T20:05:40.5965707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_roi_pool PASSED [0.0059s] [ 76%] 2023-07-07T20:05:40.5966006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_round PASSED [0.0040s] [ 76%] 2023-07-07T20:05:40.5966283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0047s] [ 76%] 2023-07-07T20:05:40.5966519Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0050s] [ 76%] 2023-07-07T20:05:40.5966800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) [ 76%] 2023-07-07T20:05:40.5967086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scalar_type PASSED [0.0418s] [ 76%] 2023-07-07T20:05:40.5967327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter PASSED [0.0164s] [ 76%] 2023-07-07T20:05:40.5967672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 SKIPPED [0.0009s] (Unsupported opset_version: 15 < 16) [ 76%] 2023-07-07T20:05:40.5968011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 15 < 16) [ 76%] 2023-07-07T20:05:40.5968358Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero SKIPPED [0.0007s] (Unsupported opset_version: 15 < 16) [ 76%] 2023-07-07T20:05:40.5968620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar PASSED [0.0063s] [ 76%] 2023-07-07T20:05:40.5968896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_scatter_with_scalar_different_types PASSED [0.0062s] [ 76%] 2023-07-07T20:05:40.5969157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried PASSED [0.0055s] [ 76%] 2023-07-07T20:05:40.5969409Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool PASSED [0.0054s] [ 76%] 2023-07-07T20:05:40.5969662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_float PASSED [0.0080s] [ 76%] 2023-07-07T20:05:40.5969916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int PASSED [0.0053s] [ 76%] 2023-07-07T20:05:40.5970158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0074s] [ 76%] 2023-07-07T20:05:40.5970390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4 PASSED [0.0071s] [ 76%] 2023-07-07T20:05:40.5970630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_5 PASSED [0.0069s] [ 76%] 2023-07-07T20:05:40.5970881Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop PASSED [0.0071s] [ 76%] 2023-07-07T20:05:40.5971121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_silu PASSED [0.0052s] [ 76%] 2023-07-07T20:05:40.5971394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_size PASSED [0.0350s] [ 76%] 2023-07-07T20:05:40.5971668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic PASSED [0.0512s] [ 76%] 2023-07-07T20:05:40.5971932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script PASSED [0.0183s] [ 76%] 2023-07-07T20:05:40.5972203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_neg PASSED [0.0078s] [ 76%] 2023-07-07T20:05:40.5972450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_trace PASSED [0.0072s] [ 76%] 2023-07-07T20:05:40.5972708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_index PASSED [0.0480s] [ 76%] 2023-07-07T20:05:40.5972965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_slice_with_input_step_size PASSED [0.0661s] [ 76%] 2023-07-07T20:05:40.5973224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_softmax_large_values PASSED [0.0333s] [ 76%] 2023-07-07T20:05:40.5973459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0207s] [ 76%] 2023-07-07T20:05:40.5973731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_softshrink PASSED [0.0342s] [ 76%] 2023-07-07T20:05:40.5973983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending PASSED [0.0194s] [ 76%] 2023-07-07T20:05:40.5974223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split PASSED [0.0273s] [ 76%] 2023-07-07T20:05:40.5974477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split_dynamic_axes PASSED [0.0081s] [ 76%] 2023-07-07T20:05:40.5974721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split_script PASSED [0.0270s] [ 76%] 2023-07-07T20:05:40.5974977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice PASSED [0.0270s] [ 76%] 2023-07-07T20:05:40.5975219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_square PASSED [0.0042s] [ 76%] 2023-07-07T20:05:40.5975461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0049s] [ 76%] 2023-07-07T20:05:40.5975711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0042s] [ 76%] 2023-07-07T20:05:40.5975963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim PASSED [0.0048s] [ 76%] 2023-07-07T20:05:40.5976208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg PASSED [0.0085s] [ 76%] 2023-07-07T20:05:40.5976456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0049s] [ 76%] 2023-07-07T20:05:40.5976739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stack PASSED [0.0071s] [ 76%] 2023-07-07T20:05:40.5977008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0135s] [ 76%] 2023-07-07T20:05:40.5977264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_std_mean_along_dims PASSED [0.0169s] [ 76%] 2023-07-07T20:05:40.5977585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0102s] [ 76%] 2023-07-07T20:05:40.5977880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_not_onesided SKIPPED [0.0009s] (Unsupported opset_version: 15 < 17) [ 76%] 2023-07-07T20:05:40.5978177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0008s] 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opset_version: 15 < 17) [ 76%] 2023-07-07T20:05:40.5980394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_sum PASSED [0.0051s] [ 76%] 2023-07-07T20:05:40.5980802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if PASSED [0.0101s] [ 76%] 2023-07-07T20:05:40.5981225Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_dynamic_axes PASSED [0.0090s] [ 76%] 2023-07-07T20:05:40.5981643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 PASSED [0.0375s] [ 76%] 2023-07-07T20:05:40.5982043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0439s] [ 76%] 2023-07-07T20:05:40.5982453Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0264s] [ 76%] 2023-07-07T20:05:40.5982857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time PASSED [0.0655s] [ 76%] 2023-07-07T20:05:40.5983227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor PASSED [0.0217s] [ 76%] 2023-07-07T20:05:40.5983626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensor_factories_script PASSED [0.0061s] [ 76%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_count PASSED [0.0180s] [ 76%] 2023-07-07T20:05:40.5986125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim PASSED [0.0199s] [ 76%] 2023-07-07T20:05:40.5986499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_to_device PASSED [0.0106s] [ 76%] 2023-07-07T20:05:40.5986865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tolist PASSED [0.0033s] [ 76%] 2023-07-07T20:05:40.5987226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0074s] [ 76%] 2023-07-07T20:05:40.5987632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0033s] [ 77%] 2023-07-07T20:05:40.5988004Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0046s] [ 77%] 2023-07-07T20:05:40.5988379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0143s] [ 77%] 2023-07-07T20:05:40.5988770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0078s] [ 77%] 2023-07-07T20:05:40.5989130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tril PASSED [0.0211s] [ 77%] 2023-07-07T20:05:40.5989496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_triu PASSED [0.0199s] [ 77%] 2023-07-07T20:05:40.5989874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0051s] [ 77%] 2023-07-07T20:05:40.5990261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional PASSED [0.0059s] [ 77%] 2023-07-07T20:05:40.5990741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 77%] 2023-07-07T20:05:40.5991134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs PASSED [0.0049s] [ 77%] 2023-07-07T20:05:40.5991506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_type_as PASSED [0.0173s] [ 77%] 2023-07-07T20:05:40.5991906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unbind_dynamic PASSED [0.0073s] [ 77%] 2023-07-07T20:05:40.5992313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unfold PASSED [0.0110s] [ 77%] 2023-07-07T20:05:40.5992697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0080s] [ 77%] 2023-07-07T20:05:40.5993080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized PASSED [0.0065s] [ 77%] 2023-07-07T20:05:40.5993509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0068s] [ 77%] 2023-07-07T20:05:40.5993910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList PASSED [0.0079s] [ 77%] 2023-07-07T20:05:40.5994367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_optional SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 77%] 2023-07-07T20:05:40.5994863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic PASSED [0.0078s] [ 77%] 2023-07-07T20:05:40.5995234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0070s] [ 77%] 2023-07-07T20:05:40.5995599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_var PASSED [0.1088s] [ 77%] 2023-07-07T20:05:40.5996031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0147s] [ 77%] 2023-07-07T20:05:40.5996391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_var_mean_along_dims PASSED [0.0238s] [ 77%] 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2023-07-07T20:05:40.5997887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_where_with_bool_tensor PASSED [0.0084s] [ 77%] 2023-07-07T20:05:40.5998147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM PASSED [0.1520s] [ 77%] 2023-07-07T20:05:40.5998412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0701s] [ 77%] 2023-07-07T20:05:40.5998674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input PASSED [0.0121s] [ 77%] 2023-07-07T20:05:40.5998967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_0d_tensor_broadcast PASSED [0.0087s] [ 77%] 2023-07-07T20:05:40.5999238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_MSELoss PASSED [0.0353s] [ 77%] 2023-07-07T20:05:40.5999485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0153s] [ 77%] 2023-07-07T20:05:40.5999762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0114s] [ 77%] 2023-07-07T20:05:40.6000005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_aminmax PASSED [0.0097s] [ 77%] 2023-07-07T20:05:40.6000241Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor PASSED [0.0088s] [ 77%] 2023-07-07T20:05:40.6000486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_out PASSED [0.0102s] [ 77%] 2023-07-07T20:05:40.6000738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0186s] [ 77%] 2023-07-07T20:05:40.6000992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out PASSED [0.0492s] [ 77%] 2023-07-07T20:05:40.6001285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats PASSED [0.0695s] [ 77%] 2023-07-07T20:05:40.6001557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index PASSED [0.0415s] [ 77%] 2023-07-07T20:05:40.6001800Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_argsort PASSED [0.0063s] [ 77%] 2023-07-07T20:05:40.6002060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0036s] [ 77%] 2023-07-07T20:05:40.6002319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0103s] [ 77%] 2023-07-07T20:05:40.6002579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0168s] [ 77%] 2023-07-07T20:05:40.6002828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_as_strided PASSED [0.0303s] [ 77%] 2023-07-07T20:05:40.6003395Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ PASSED [0.0092s] [ 77%] 2023-07-07T20:05:40.6003947Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0040s] [ 77%] 2023-07-07T20:05:40.6004651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.6004863Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.6005010Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.6005162Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.6005175Z 2023-07-07T20:05:40.6005296Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.6005442Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.6005588Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.6005737Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.6005743Z 2023-07-07T20:05:40.6005926Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.6006057Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.6006201Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.6006352Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.6006361Z 2023-07-07T20:05:40.6006366Z 2023-07-07T20:05:40.6006508Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.6006650Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.6006793Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.6006944Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.6006950Z 2023-07-07T20:05:40.6007092Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.6007222Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.6007364Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.6007514Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.6007520Z 2023-07-07T20:05:40.6007603Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.6007745Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.6007922Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.6008116Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0038s] [ 77%] 2023-07-07T20:05:40.6008678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0044s] [ 77%] 2023-07-07T20:05:40.6009239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.6009388Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.6009519Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.6009672Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.6009678Z 2023-07-07T20:05:40.6009763Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.6009905Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.6010047Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.6010196Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.6010202Z 2023-07-07T20:05:40.6010346Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.6010488Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.6010620Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.6010770Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.6010776Z 2023-07-07T20:05:40.6010781Z 2023-07-07T20:05:40.6010923Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.6011066Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.6011240Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.6011388Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.6011393Z 2023-07-07T20:05:40.6011534Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.6011706Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.6011837Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.6011984Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.6011989Z 2023-07-07T20:05:40.6012073Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.6012214Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.6012383Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.6012571Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0037s] [ 77%] 2023-07-07T20:05:40.6013132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0051s] [ 77%] 2023-07-07T20:05:40.6013678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.6013789Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0042s] [ 77%] 2023-07-07T20:05:40.6014043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0100s] [ 77%] 2023-07-07T20:05:40.6014372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0181s] [ 77%] 2023-07-07T20:05:40.6014672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0165s] [ 77%] 2023-07-07T20:05:40.6014967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0181s] [ 77%] 2023-07-07T20:05:40.6015262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0160s] [ 77%] 2023-07-07T20:05:40.6015561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0160s] [ 77%] 2023-07-07T20:05:40.6015852Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0178s] [ 77%] 2023-07-07T20:05:40.6016106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_baddbmm_dynamic PASSED [0.0100s] [ 77%] 2023-07-07T20:05:40.6016354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d PASSED [0.0168s] [ 77%] 2023-07-07T20:05:40.6016615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0184s] [ 77%] 2023-07-07T20:05:40.6016876Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0194s] [ 77%] 2023-07-07T20:05:40.6017185Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats PASSED [0.0288s] [ 77%] 2023-07-07T20:05:40.6017458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d PASSED [0.1594s] [ 77%] 2023-07-07T20:05:40.6017717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine PASSED [0.1675s] [ 77%] 2023-07-07T20:05:40.6017970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training PASSED [0.0815s] [ 77%] 2023-07-07T20:05:40.6018257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_binary_cross_entropy_with_logits PASSED [0.1873s] [ 77%] 2023-07-07T20:05:40.6018518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_broad_cast_tensors PASSED [0.0245s] [ 77%] 2023-07-07T20:05:40.6018767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_bucketize PASSED [0.0175s] [ 77%] 2023-07-07T20:05:40.6019007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_cast_to PASSED [0.0034s] [ 77%] 2023-07-07T20:05:40.6019268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_cast_type_as_with_bfloat16 PASSED [0.0069s] [ 77%] 2023-07-07T20:05:40.6019515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_celu_alpha PASSED [0.0049s] [ 77%] 2023-07-07T20:05:40.6019788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_celu_cast PASSED [0.0056s] [ 77%] 2023-07-07T20:05:40.6020029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_chunk PASSED [0.0633s] [ 77%] 2023-07-07T20:05:40.6020274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_clamp_dyn PASSED [0.0209s] [ 77%] 2023-07-07T20:05:40.6020514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_concat PASSED [0.0051s] [ 77%] 2023-07-07T20:05:40.6020766Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_concat_dynamic PASSED [0.0033s] [ 77%] 2023-07-07T20:05:40.6021008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_conv PASSED [0.6308s] [ 77%] 2023-07-07T20:05:40.6021253Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_conv_bn PASSED [0.0573s] [ 77%] 2023-07-07T20:05:40.6021503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_convolution_allow_tf32 PASSED [0.0318s] [ 77%] 2023-07-07T20:05:40.6021742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_copy_ PASSED [0.2483s] [ 77%] 2023-07-07T20:05:40.6021994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_copy_tracing PASSED [0.0274s] [ 77%] 2023-07-07T20:05:40.6022239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_cumsum PASSED [0.0058s] [ 77%] 2023-07-07T20:05:40.6022507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_data PASSED [0.0045s] [ 77%] 2023-07-07T20:05:40.6022781Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_getitem PASSED [0.0066s] [ 77%] 2023-07-07T20:05:40.6033098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_glu PASSED [0.0080s] [ 77%] 2023-07-07T20:05:40.6033489Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False SKIPPED [0.0013s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6033819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6034157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6034514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False SKIPPED [0.0014s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6034935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_True SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6035265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6035630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6036162Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6036663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6037163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6037667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_True SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6038175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False SKIPPED [0.0011s] (Unsupported opset_version: 15 < 16) [ 77%] 2023-07-07T20:05:40.6038667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_False SKIPPED 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular PASSED [0.0236s] [ 77%] 2023-07-07T20:05:40.6049002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index PASSED [0.2956s] [ 77%] 2023-07-07T20:05:40.6049400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_fill PASSED [0.0113s] [ 77%] 2023-07-07T20:05:40.6049844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_to_masked_scatter PASSED [0.0137s] [ 77%] 2023-07-07T20:05:40.6050267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter PASSED [0.0137s] [ 77%] 2023-07-07T20:05:40.6050664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic PASSED [0.0034s] [ 77%] 2023-07-07T20:05:40.6051070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop PASSED [0.0044s] [ 77%] 2023-07-07T20:05:40.6051463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop PASSED [0.0037s] [ 77%] 2023-07-07T20:05:40.6051841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_fill PASSED [0.0106s] [ 77%] 2023-07-07T20:05:40.6052298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop PASSED [0.0124s] [ 77%] 2023-07-07T20:05:40.6053142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop PASSED [0.0050s] [ 77%] 2023-07-07T20:05:40.6053813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero PASSED [0.0094s] [ 77%] 2023-07-07T20:05:40.6054339Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model PASSED [0.0556s] [ 77%] 2023-07-07T20:05:40.6054889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats PASSED [0.0164s] [ 77%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_item PASSED [0.0053s] [ 78%] 2023-07-07T20:05:40.6061215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_kldiv_loss PASSED [0.1157s] [ 78%] 2023-07-07T20:05:40.6061716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_le PASSED [0.0145s] [ 78%] 2023-07-07T20:05:40.6062211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_le_scalar PASSED [0.0091s] [ 78%] 2023-07-07T20:05:40.6062721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_len PASSED [0.0032s] [ 78%] 2023-07-07T20:05:40.6063209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_len_list PASSED [0.0030s] [ 78%] 2023-07-07T20:05:40.6063755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0340s] [ 78%] 2023-07-07T20:05:40.6064278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linalg_matrix_norm PASSED [0.0980s] [ 78%] 2023-07-07T20:05:40.6064796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linear PASSED [0.0160s] [ 78%] 2023-07-07T20:05:40.6065305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_linspace PASSED [0.0098s] [ 78%] 2023-07-07T20:05:40.6065807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2 PASSED [0.0061s] [ 78%] 2023-07-07T20:05:40.6066319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_del PASSED [0.0056s] [ 78%] 2023-07-07T20:05:40.6066827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_del_in_block PASSED [0.0061s] [ 78%] 2023-07-07T20:05:40.6067346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_del_nested PASSED [0.0057s] [ 78%] 2023-07-07T20:05:40.6067849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum PASSED [0.0054s] [ 78%] 2023-07-07T20:05:40.6068349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_pass PASSED [0.1181s] [ 78%] 2023-07-07T20:05:40.6068861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_pop_in_block PASSED [0.0065s] [ 78%] 2023-07-07T20:05:40.6069456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_set PASSED [0.0052s] [ 78%] 2023-07-07T20:05:40.6070050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_unpack PASSED [0.0052s] [ 78%] 2023-07-07T20:05:40.6070617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0046s] [ 78%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0046s] [ 78%] 2023-07-07T20:05:40.6076859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm PASSED [0.0245s] [ 78%] 2023-07-07T20:05:40.6077347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm_cell PASSED [0.0386s] [ 78%] 2023-07-07T20:05:40.6077858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm_constant_folding PASSED [0.1265s] [ 78%] 2023-07-07T20:05:40.6078385Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state PASSED [0.0282s] [ 78%] 2023-07-07T20:05:40.6078902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0129s] [ 78%] 2023-07-07T20:05:40.6079406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_matmul PASSED [0.0077s] [ 78%] 2023-07-07T20:05:40.6079896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0043s] [ 78%] 2023-07-07T20:05:40.6080434Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool PASSED [0.0066s] [ 78%] 2023-07-07T20:05:40.6080970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil PASSED [0.0064s] [ 78%] 2023-07-07T20:05:40.6081479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d PASSED [0.0066s] [ 78%] 2023-07-07T20:05:40.6081978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0068s] [ 78%] 2023-07-07T20:05:40.6082527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes PASSED [0.0159s] [ 78%] 2023-07-07T20:05:40.6083033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mish PASSED [0.0050s] [ 78%] 2023-07-07T20:05:40.6083605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional PASSED [0.0071s] [ 78%] 2023-07-07T20:05:40.6084173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none PASSED [0.0220s] [ 78%] 2023-07-07T20:05:40.6085024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision SKIPPED [0.0009s] (Unsupported opset_version: 15 > 13) [ 78%] 2023-07-07T20:05:40.6085617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_movedim PASSED [0.0130s] [ 78%] 2023-07-07T20:05:40.6086178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0110s] [ 78%] 2023-07-07T20:05:40.6086691Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_multinomial PASSED [0.0095s] [ 78%] 2023-07-07T20:05:40.6087196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn PASSED [0.1091s] [ 78%] 2023-07-07T20:05:40.6087735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave PASSED [0.0466s] [ 78%] 2023-07-07T20:05:40.6088268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num PASSED [0.0398s] [ 78%] 2023-07-07T20:05:40.6088768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_narrow PASSED [0.0072s] [ 78%] 2023-07-07T20:05:40.6089281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0092s] [ 78%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss PASSED [0.0110s] [ 78%] 2023-07-07T20:05:40.6092954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean PASSED [0.0150s] [ 78%] 2023-07-07T20:05:40.6093482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index PASSED [0.0154s] [ 78%] 2023-07-07T20:05:40.6094057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights PASSED [0.0161s] [ 78%] 2023-07-07T20:05:40.6094584Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum PASSED [0.0157s] [ 78%] 2023-07-07T20:05:40.6095101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness PASSED [0.0132s] [ 78%] 2023-07-07T20:05:40.6095626Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0067s] [ 78%] 2023-07-07T20:05:40.6096138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0060s] [ 78%] 2023-07-07T20:05:40.6096638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_numpy_T PASSED [0.0040s] [ 78%] 2023-07-07T20:05:40.6097170Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_ones_bool PASSED [0.0111s] [ 78%] 2023-07-07T20:05:40.6097778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0 SKIPPED [0.0010s] (Skip verify test for torch trace.) [ 78%] 2023-07-07T20:05:40.6098450Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 78%] 2023-07-07T20:05:40.6099077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 78%] 2023-07-07T20:05:40.6099708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 78%] 2023-07-07T20:05:40.6100335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 78%] 2023-07-07T20:05:40.6100894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_circular PASSED [0.0116s] [ 78%] 2023-07-07T20:05:40.6101421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes PASSED [0.0123s] [ 78%] 2023-07-07T20:05:40.6101943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0120s] [ 78%] 2023-07-07T20:05:40.6102471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list PASSED [0.0159s] [ 78%] 2023-07-07T20:05:40.6103087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list PASSED [0.0164s] [ 78%] 2023-07-07T20:05:40.6103819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pairwise_distance PASSED [0.0089s] [ 78%] 2023-07-07T20:05:40.6104634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_paste_mask_in_image PASSED [0.1884s] [ 78%] 2023-07-07T20:05:40.6105457Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0100s] [ 78%] 2023-07-07T20:05:40.6106230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_prelu PASSED [0.0058s] [ 78%] 2023-07-07T20:05:40.6106986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0048s] [ 78%] 2023-07-07T20:05:40.6107760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0253s] [ 78%] 2023-07-07T20:05:40.6108543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0053s] [ 78%] 2023-07-07T20:05:40.6109346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating PASSED [0.0055s] [ 78%] 2023-07-07T20:05:40.6110206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_integer PASSED [0.0049s] [ 78%] 2023-07-07T20:05:40.6111392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6112697Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6113349Z PASSED [0.0210s] [ 78%] 2023-07-07T20:05:40.6113902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d PASSED [0.0536s] [ 78%] 2023-07-07T20:05:40.6114796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel PASSED [0.0461s] [ 78%] 2023-07-07T20:05:40.6115960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6117247Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6117901Z PASSED [0.0195s] [ 78%] 2023-07-07T20:05:40.6118828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6120184Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6120812Z PASSED [0.0165s] [ 78%] 2023-07-07T20:05:40.6121520Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6122412Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6122841Z PASSED [0.0118s] [ 78%] 2023-07-07T20:05:40.6123223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d PASSED [0.0138s] [ 78%] 2023-07-07T20:05:40.6123760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0197s] [ 78%] 2023-07-07T20:05:40.6124310Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional PASSED [0.0199s] [ 78%] 2023-07-07T20:05:40.6125136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale PASSED [0.0150s] [ 78%] 2023-07-07T20:05:40.6125701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point PASSED [0.0154s] [ 78%] 2023-07-07T20:05:40.6126278Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0144s] [ 78%] 2023-07-07T20:05:40.6126820Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d PASSED [0.0387s] [ 78%] 2023-07-07T20:05:40.6127348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0418s] [ 78%] 2023-07-07T20:05:40.6127884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0406s] [ 78%] 2023-07-07T20:05:40.6128430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d PASSED [0.0627s] [ 78%] 2023-07-07T20:05:40.6128948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear PASSED [0.0312s] [ 78%] 2023-07-07T20:05:40.6129486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid PASSED [0.0142s] [ 78%] 2023-07-07T20:05:40.6130048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm PASSED [0.0244s] [ 78%] 2023-07-07T20:05:40.6130650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu PASSED [0.0142s] [ 78%] 2023-07-07T20:05:40.6131274Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu PASSED [0.0163s] [ 78%] 2023-07-07T20:05:40.6131843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0151s] [ 78%] 2023-07-07T20:05:40.6132394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu PASSED [0.0132s] [ 78%] 2023-07-07T20:05:40.6132967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh PASSED [0.0139s] [ 78%] 2023-07-07T20:05:40.6133513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose PASSED [0.0117s] [ 78%] 2023-07-07T20:05:40.6134043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand PASSED [0.0086s] [ 78%] 2023-07-07T20:05:40.6134526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_dtype PASSED [0.0103s] [ 78%] 2023-07-07T20:05:40.6135038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_dynamic_size PASSED [0.0110s] [ 78%] 2023-07-07T20:05:40.6135586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_like PASSED [0.0114s] [ 78%] 2023-07-07T20:05:40.6136102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rand_like_dtype PASSED [0.0095s] [ 78%] 2023-07-07T20:05:40.6136605Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0111s] [ 78%] 2023-07-07T20:05:40.6137117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype PASSED [0.0096s] [ 78%] 2023-07-07T20:05:40.6137636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0101s] [ 78%] 2023-07-07T20:05:40.6138154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0074s] [ 78%] 2023-07-07T20:05:40.6138683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reduced_min_max PASSED [0.0173s] [ 78%] 2023-07-07T20:05:40.6139197Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum_dtypes PASSED [0.0106s] [ 78%] 2023-07-07T20:05:40.6139703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_relu6 PASSED [0.0067s] [ 78%] 2023-07-07T20:05:40.6140199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_repeat PASSED [0.0111s] [ 78%] 2023-07-07T20:05:40.6140720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0107s] [ 78%] 2023-07-07T20:05:40.6141252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank PASSED [0.0058s] [ 78%] 2023-07-07T20:05:40.6142202Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6143160Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6143894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6144327Z PASSED [0.0778s] [ 78%] 2023-07-07T20:05:40.6145059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6146010Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6146732Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6147170Z PASSED [0.0691s] [ 78%] 2023-07-07T20:05:40.6147893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6148831Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6149519Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6150206Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6150612Z PASSED [0.0572s] [ 78%] 2023-07-07T20:05:40.6151343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6152351Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6153037Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6153715Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6154165Z PASSED [0.0569s] [ 78%] 2023-07-07T20:05:40.6154975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6155920Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6156646Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6157070Z PASSED [0.0515s] [ 78%] 2023-07-07T20:05:40.6157788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6158725Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6159394Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6160078Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6160565Z PASSED [0.0514s] [ 78%] 2023-07-07T20:05:40.6161667Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6163106Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6164219Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6165368Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6166050Z PASSED [0.0514s] [ 78%] 2023-07-07T20:05:40.6166778Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0383s] [ 78%] 2023-07-07T20:05:40.6168269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6169677Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6170756Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6171385Z PASSED [0.0449s] [ 78%] 2023-07-07T20:05:40.6172089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0336s] [ 78%] 2023-07-07T20:05:40.6173555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6174967Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6175998Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6176624Z PASSED [0.0401s] [ 78%] 2023-07-07T20:05:40.6177689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6178934Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6179676Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6180360Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6180811Z PASSED [0.0402s] [ 78%] 2023-07-07T20:05:40.6181529Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6182464Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6183133Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6183843Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6184256Z PASSED [0.0404s] [ 78%] 2023-07-07T20:05:40.6184728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0281s] [ 78%] 2023-07-07T20:05:40.6185706Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6186649Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6187321Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6187743Z PASSED [0.0357s] [ 78%] 2023-07-07T20:05:40.6188466Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6189440Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6190161Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6190846Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6191276Z PASSED [0.0360s] [ 78%] 2023-07-07T20:05:40.6191758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0243s] [ 78%] 2023-07-07T20:05:40.6192755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6193695Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6194449Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6194960Z PASSED [0.0301s] [ 78%] 2023-07-07T20:05:40.6195427Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0189s] [ 78%] 2023-07-07T20:05:40.6196168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0186s] [ 78%] 2023-07-07T20:05:40.6197154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6198082Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6198767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6199452Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6199895Z PASSED [0.0321s] [ 78%] 2023-07-07T20:05:40.6200641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6201581Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6202298Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6202978Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6203396Z PASSED [0.0317s] [ 78%] 2023-07-07T20:05:40.6204108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6205246Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6205944Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6206366Z PASSED [0.0271s] [ 78%] 2023-07-07T20:05:40.6207087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6208029Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6208719Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6209384Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6209806Z PASSED [0.0274s] [ 78%] 2023-07-07T20:05:40.6210574Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6211550Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6212230Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6212688Z PASSED [0.0566s] [ 78%] 2023-07-07T20:05:40.6213420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6214376Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6215057Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6215511Z PASSED [0.0569s] [ 78%] 2023-07-07T20:05:40.6216239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6217179Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6217856Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6218546Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6218978Z PASSED [0.0725s] [ 78%] 2023-07-07T20:05:40.6219690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0562s] [ 78%] 2023-07-07T20:05:40.6221175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6222681Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6223712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6224381Z PASSED [0.0556s] [ 78%] 2023-07-07T20:05:40.6225102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0424s] [ 78%] 2023-07-07T20:05:40.6226593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6227989Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6229071Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6229693Z PASSED [0.0450s] [ 78%] 2023-07-07T20:05:40.6230771Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6240890Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6241725Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6242414Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6242841Z PASSED [0.0458s] [ 78%] 2023-07-07T20:05:40.6243571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6244786Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6245561Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6246251Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6246698Z PASSED [0.0451s] [ 78%] 2023-07-07T20:05:40.6247166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0336s] [ 78%] 2023-07-07T20:05:40.6247883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0334s] [ 78%] 2023-07-07T20:05:40.6248855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6249832Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6250524Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6250933Z PASSED [0.0403s] [ 78%] 2023-07-07T20:05:40.6251645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6252579Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6253264Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6253942Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6254361Z PASSED [0.0406s] [ 78%] 2023-07-07T20:05:40.6254825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0278s] [ 78%] 2023-07-07T20:05:40.6255855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6256782Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6257494Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6257915Z PASSED [0.0360s] [ 78%] 2023-07-07T20:05:40.6258643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6259565Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6260272Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6260953Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6261371Z PASSED [0.0366s] [ 78%] 2023-07-07T20:05:40.6261848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0245s] [ 78%] 2023-07-07T20:05:40.6262836Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6263780Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6264453Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6264879Z PASSED [0.0298s] [ 78%] 2023-07-07T20:05:40.6265356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0186s] [ 78%] 2023-07-07T20:05:40.6266156Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0183s] [ 78%] 2023-07-07T20:05:40.6267127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6268086Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6268764Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6269192Z PASSED [0.0324s] [ 78%] 2023-07-07T20:05:40.6269934Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6270861Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6271544Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6272229Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6272638Z PASSED [0.0325s] [ 78%] 2023-07-07T20:05:40.6273352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6274270Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6275050Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6275472Z PASSED [0.0270s] [ 78%] 2023-07-07T20:05:40.6276218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6277184Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6277891Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6278307Z PASSED [0.0268s] [ 78%] 2023-07-07T20:05:40.6279029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6279952Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6280672Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6281407Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6282043Z PASSED [0.0270s] [ 78%] 2023-07-07T20:05:40.6282752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0156s] [ 78%] 2023-07-07T20:05:40.6284229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6285745Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6286771Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6287784Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6288410Z PASSED [0.1170s] [ 78%] 2023-07-07T20:05:40.6289571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6291032Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6292107Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6293137Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6293759Z PASSED [0.1175s] [ 78%] 2023-07-07T20:05:40.6294479Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1043s] [ 78%] 2023-07-07T20:05:40.6295994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6297416Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6298451Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6299081Z PASSED [0.1120s] [ 78%] 2023-07-07T20:05:40.6299779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0982s] [ 78%] 2023-07-07T20:05:40.6301243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6302208Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6302894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6303354Z PASSED [0.0733s] [ 79%] 2023-07-07T20:05:40.6304094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6305029Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6305734Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6306152Z PASSED [0.0726s] [ 79%] 2023-07-07T20:05:40.6306868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6307787Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6308492Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6309177Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6309581Z PASSED [0.0739s] [ 79%] 2023-07-07T20:05:40.6310291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6311220Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6311908Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6312588Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6313006Z PASSED [0.0739s] [ 79%] 2023-07-07T20:05:40.6313476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0620s] [ 79%] 2023-07-07T20:05:40.6314540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6315556Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6316277Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6316967Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6317378Z PASSED [0.0688s] [ 79%] 2023-07-07T20:05:40.6317851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0559s] [ 79%] 2023-07-07T20:05:40.6318864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6319810Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6320498Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6320922Z PASSED [0.0554s] [ 79%] 2023-07-07T20:05:40.6321634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6322565Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6323245Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6323675Z PASSED [0.0493s] [ 79%] 2023-07-07T20:05:40.6324535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6325581Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6326268Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6326712Z PASSED [0.0495s] [ 79%] 2023-07-07T20:05:40.6327442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6328370Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6329049Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6329767Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6330195Z PASSED [0.0495s] [ 79%] 2023-07-07T20:05:40.6330899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6331820Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6332496Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6332923Z PASSED [0.0417s] [ 79%] 2023-07-07T20:05:40.6333639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6334571Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6335269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6335719Z PASSED [0.0410s] [ 79%] 2023-07-07T20:05:40.6336428Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6337383Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6338063Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6338737Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6339147Z PASSED [0.0417s] [ 79%] 2023-07-07T20:05:40.6339636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0298s] [ 79%] 2023-07-07T20:05:40.6340343Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0297s] [ 79%] 2023-07-07T20:05:40.6341312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6342244Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6342927Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6343341Z PASSED [0.0361s] [ 79%] 2023-07-07T20:05:40.6343803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0247s] [ 79%] 2023-07-07T20:05:40.6344507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0244s] [ 79%] 2023-07-07T20:05:40.6345875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6347321Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6348383Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6349478Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6350097Z PASSED [0.1207s] [ 79%] 2023-07-07T20:05:40.6350814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1043s] [ 79%] 2023-07-07T20:05:40.6351918Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1038s] [ 79%] 2023-07-07T20:05:40.6353436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6354934Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6355972Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6356993Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6357632Z PASSED [0.1167s] [ 79%] 2023-07-07T20:05:40.6358357Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.1023s] [ 79%] 2023-07-07T20:05:40.6359827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6361278Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6362356Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6362976Z PASSED [0.0766s] [ 79%] 2023-07-07T20:05:40.6364055Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6365374Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6366068Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6366489Z PASSED [0.0767s] [ 79%] 2023-07-07T20:05:40.6366945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0647s] [ 79%] 2023-07-07T20:05:40.6367979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6368901Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6369585Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6370005Z PASSED [0.0732s] [ 79%] 2023-07-07T20:05:40.6370478Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0614s] [ 79%] 2023-07-07T20:05:40.6371175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0614s] [ 79%] 2023-07-07T20:05:40.6372150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6373122Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6373840Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6374261Z PASSED [0.0548s] [ 79%] 2023-07-07T20:05:40.6374991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6375972Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6376640Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6377319Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6377730Z PASSED [0.0546s] [ 79%] 2023-07-07T20:05:40.6378235Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0418s] [ 79%] 2023-07-07T20:05:40.6379218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6380156Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6380838Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6381249Z PASSED [0.0484s] [ 79%] 2023-07-07T20:05:40.6381962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6382896Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6383634Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6384062Z PASSED [0.0407s] [ 79%] 2023-07-07T20:05:40.6384762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6385705Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6386387Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6386802Z PASSED [0.0402s] [ 79%] 2023-07-07T20:05:40.6387518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6388479Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6389166Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6389835Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6390256Z PASSED [0.0405s] [ 79%] 2023-07-07T20:05:40.6390720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0288s] [ 79%] 2023-07-07T20:05:40.6391683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6392605Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6393294Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6393730Z PASSED [0.0347s] [ 79%] 2023-07-07T20:05:40.6394468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6395474Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6396195Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6396874Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6397284Z PASSED [0.0356s] [ 79%] 2023-07-07T20:05:40.6398035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6398974Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6399662Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6400342Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6400764Z PASSED [0.0352s] [ 79%] 2023-07-07T20:05:40.6401220Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0265s] [ 79%] 2023-07-07T20:05:40.6401946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0261s] [ 79%] 2023-07-07T20:05:40.6402555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_roi_align PASSED [0.0106s] [ 79%] 2023-07-07T20:05:40.6403058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_roi_pool PASSED [0.0060s] [ 79%] 2023-07-07T20:05:40.6403570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rrelu_eval PASSED [0.0053s] [ 79%] 2023-07-07T20:05:40.6404131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_rsqrt_zeros PASSED [0.0052s] [ 79%] 2023-07-07T20:05:40.6404932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) [ 79%] 2023-07-07T20:05:40.6405480Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scalar_tensor PASSED [0.0116s] [ 79%] 2023-07-07T20:05:40.6405992Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.0446s] [ 79%] 2023-07-07T20:05:40.6406532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_add PASSED [0.0144s] [ 79%] 2023-07-07T20:05:40.6407119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 SKIPPED [0.0009s] (Unsupported opset_version: 15 < 16) [ 79%] 2023-07-07T20:05:40.6407812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 SKIPPED [0.0008s] (Unsupported opset_version: 15 < 16) [ 79%] 2023-07-07T20:05:40.6408528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce SKIPPED [0.0008s] (Unsupported opset_version: 15 < 16) [ 79%] 2023-07-07T20:05:40.6409447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_reduce_self_rank_zero SKIPPED [0.0009s] (Unsupported opset_version: 15 < 16) [ 79%] 2023-07-07T20:05:40.6410355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar PASSED [0.0067s] [ 79%] 2023-07-07T20:05:40.6411168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar_different_types PASSED [0.0065s] [ 79%] 2023-07-07T20:05:40.6411980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_select PASSED [0.0060s] [ 79%] 2023-07-07T20:05:40.6412763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0063s] [ 79%] 2023-07-07T20:05:40.6413564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_float PASSED [0.0055s] [ 79%] 2023-07-07T20:05:40.6414338Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int PASSED [0.0054s] [ 79%] 2023-07-07T20:05:40.6415114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_set_attr_4 PASSED [0.0078s] [ 79%] 2023-07-07T20:05:40.6415874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5 PASSED [0.0072s] [ 79%] 2023-07-07T20:05:40.6416669Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list PASSED [0.0076s] [ 79%] 2023-07-07T20:05:40.6417455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_size PASSED [0.0356s] [ 79%] 2023-07-07T20:05:40.6418238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script PASSED [0.0187s] [ 79%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice PASSED [0.0242s] [ 79%] 2023-07-07T20:05:40.6425031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0010s] [ 79%] 2023-07-07T20:05:40.6425404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_square PASSED [0.0045s] [ 79%] 2023-07-07T20:05:40.6425777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze PASSED [0.0052s] [ 79%] 2023-07-07T20:05:40.6426149Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0094s] [ 79%] 2023-07-07T20:05:40.6426556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0052s] [ 79%] 2023-07-07T20:05:40.6426938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0093s] [ 79%] 2023-07-07T20:05:40.6427326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_runtime_dim PASSED [0.0293s] [ 79%] 2023-07-07T20:05:40.6427718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op PASSED [0.0056s] [ 79%] 2023-07-07T20:05:40.6428089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stack_dynamic PASSED [0.0036s] [ 79%] 2023-07-07T20:05:40.6428346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims PASSED [0.0180s] [ 79%] 2023-07-07T20:05:40.6428633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0153s] [ 79%] 2023-07-07T20:05:40.6428955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 15 < 17) [ 79%] 2023-07-07T20:05:40.6429252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_not_onesided SKIPPED [0.0008s] (Unsupported opset_version: 15 < 17) [ 79%] 2023-07-07T20:05:40.6429580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 15 < 17) [ 79%] 2023-07-07T20:05:40.6429889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 15 < 17) [ 79%] 2023-07-07T20:05:40.6430193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0008s] (Unsupported opset_version: 15 < 17) [ 79%] 2023-07-07T20:05:40.6430486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size SKIPPED [0.0007s] (Unsupported opset_version: 15 < 17) [ 79%] 2023-07-07T20:05:40.6430772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0008s] (Unsupported opset_version: 15 < 17) [ 79%] 2023-07-07T20:05:40.6431059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_sum_empty_tensor PASSED [0.0278s] [ 79%] 2023-07-07T20:05:40.6431336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0506s] [ 79%] 2023-07-07T20:05:40.6431609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box PASSED [0.0418s] [ 79%] 2023-07-07T20:05:40.6431877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_box_if PASSED [0.0111s] [ 79%] 2023-07-07T20:05:40.6432155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes PASSED [0.0097s] [ 79%] 2023-07-07T20:05:40.6432429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0470s] [ 79%] 2023-07-07T20:05:40.6432702Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0279s] [ 79%] 2023-07-07T20:05:40.6432973Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2 PASSED [0.0120s] [ 79%] 2023-07-07T20:05:40.6433215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_take PASSED [0.0070s] [ 79%] 2023-07-07T20:05:40.6433464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0105s] [ 79%] 2023-07-07T20:05:40.6433746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0058s] [ 79%] 2023-07-07T20:05:40.6434028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor PASSED [0.0157s] [ 79%] 2023-07-07T20:05:40.6434282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories_script PASSED [0.0044s] [ 79%] 2023-07-07T20:05:40.6434567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0197s] [ 79%] 2023-07-07T20:05:40.6434964Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0156s] [ 79%] 2023-07-07T20:05:40.6435240Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_like_factories_script PASSED [0.0052s] [ 79%] 2023-07-07T20:05:40.6435507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes PASSED [0.0126s] [ 79%] 2023-07-07T20:05:40.6435769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count PASSED [0.0184s] [ 79%] 2023-07-07T20:05:40.6436023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list PASSED [0.0198s] [ 79%] 2023-07-07T20:05:40.6436283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim PASSED [0.0220s] [ 79%] 2023-07-07T20:05:40.6436572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0035s] [ 79%] 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[ 79%] 2023-07-07T20:05:40.6439737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList PASSED [0.0053s] [ 79%] 2023-07-07T20:05:40.6440013Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape PASSED [0.0056s] [ 79%] 2023-07-07T20:05:40.6440286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_unique PASSED [0.0060s] [ 79%] 2023-07-07T20:05:40.6440538Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0053s] [ 79%] 2023-07-07T20:05:40.6440781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_15_is_script_False_keep_initializers_as_inputs_False::test_var PASSED [0.1229s] [ 79%] 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[ 79%] 2023-07-07T20:05:40.6449888Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6450426Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.6450570Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6451106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.6451283Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.6451366Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.6451376Z 2023-07-07T20:05:40.6451508Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.6451643Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.6451916Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6452474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.6452654Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.6452799Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.6452938Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.6452958Z 2023-07-07T20:05:40.6453036Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.6453178Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.6453324Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.6453474Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.6453480Z 2023-07-07T20:05:40.6453626Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.6453770Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.6453915Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.6454065Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.6454073Z 2023-07-07T20:05:40.6454078Z 2023-07-07T20:05:40.6454207Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.6454350Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.6454529Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.6454678Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.6454684Z 2023-07-07T20:05:40.6454828Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.6454973Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.6455117Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.6455263Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.6455268Z 2023-07-07T20:05:40.6455341Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.6455481Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.6455624Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.6455880Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6456482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6457020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.6457167Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6457711Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.6457878Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.6457960Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.6457966Z 2023-07-07T20:05:40.6458096Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.6458216Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.6458484Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6458775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_auto_grad SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 79%] 2023-07-07T20:05:40.6459075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0163s] [ 79%] 2023-07-07T20:05:40.6459401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0225s] [ 79%] 2023-07-07T20:05:40.6459701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0142s] [ 79%] 2023-07-07T20:05:40.6459993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0164s] [ 79%] 2023-07-07T20:05:40.6460289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0168s] [ 79%] 2023-07-07T20:05:40.6460602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0202s] [ 79%] 2023-07-07T20:05:40.6460864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0208s] [ 79%] 2023-07-07T20:05:40.6461129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0433s] [ 79%] 2023-07-07T20:05:40.6461374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_batchnorm3d PASSED [0.1927s] [ 79%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_mixed_optional SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 81%] 2023-07-07T20:05:40.6521159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_scale SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6521502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6521833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6522161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6522412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d PASSED [0.0309s] [ 81%] 2023-07-07T20:05:40.6522657Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0279s] [ 81%] 2023-07-07T20:05:40.6522914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv3d_relu PASSED [0.0294s] [ 81%] 2023-07-07T20:05:40.6523178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d PASSED [0.0623s] [ 81%] 2023-07-07T20:05:40.6523429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_flatten PASSED [0.0170s] [ 81%] 2023-07-07T20:05:40.6523677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_linear PASSED [0.0239s] [ 81%] 2023-07-07T20:05:40.6524104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 81%] 2023-07-07T20:05:40.6524644Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_as_strided SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6524957Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6525262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6525613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6525925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6526227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6526532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6526874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6527182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_quantized_unary_ops_view SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6527423Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rand PASSED [0.0139s] [ 81%] 2023-07-07T20:05:40.6527655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rand_like PASSED [0.0222s] [ 81%] 2023-07-07T20:05:40.6527897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_randn PASSED [0.0133s] [ 81%] 2023-07-07T20:05:40.6528141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0213s] [ 81%] 2023-07-07T20:05:40.6528392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0497s] [ 81%] 2023-07-07T20:05:40.6528639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reciprocal PASSED [0.0249s] [ 81%] 2023-07-07T20:05:40.6528893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0129s] [ 81%] 2023-07-07T20:05:40.6529136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0186s] [ 81%] 2023-07-07T20:05:40.6529386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduced_min_max PASSED [0.0304s] [ 81%] 2023-07-07T20:05:40.6529674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0211s] [ 81%] 2023-07-07T20:05:40.6529949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0267s] [ 81%] 2023-07-07T20:05:40.6530194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_remainder PASSED [0.0442s] [ 81%] 2023-07-07T20:05:40.6530441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0171s] [ 81%] 2023-07-07T20:05:40.6530697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_repeat PASSED [0.0171s] [ 81%] 2023-07-07T20:05:40.6530954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave PASSED [0.0836s] [ 81%] 2023-07-07T20:05:40.6531209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_repeat_interleave_noop PASSED [0.0161s] [ 81%] 2023-07-07T20:05:40.6531742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 81%] 2023-07-07T20:05:40.6531990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_resize_images PASSED [0.0754s] [ 81%] 2023-07-07T20:05:40.6532418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6532831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6533238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6533651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6534052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6534444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6534842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6535258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6535674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6536206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6536856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6537467Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6538054Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) 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[ 81%] 2023-07-07T20:05:40.6577990Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6578389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6578797Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6579181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6579545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_roi_align SKIPPED [0.0007s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 81%] 2023-07-07T20:05:40.6579905Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_roi_pool SKIPPED [0.0008s] (Skip verify test for TorchScript. Conditioning on input type via prim::isinstance unsupported in ONNX) [ 81%] 2023-07-07T20:05:40.6580188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_round PASSED [0.0098s] [ 81%] 2023-07-07T20:05:40.6580458Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rpn SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 81%] 2023-07-07T20:05:40.6580705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0102s] [ 81%] 2023-07-07T20:05:40.6580986Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) 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2023-07-07T20:05:40.6589633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg PASSED [0.0121s] [ 81%] 2023-07-07T20:05:40.6589893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0084s] [ 81%] 2023-07-07T20:05:40.6590136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stack PASSED [0.0122s] [ 81%] 2023-07-07T20:05:40.6590387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0155s] [ 81%] 2023-07-07T20:05:40.6590618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0235s] [ 81%] 2023-07-07T20:05:40.6590904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0154s] [ 81%] 2023-07-07T20:05:40.6591159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0269s] [ 81%] 2023-07-07T20:05:40.6591448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_default SKIPPED [0.0009s] (Unsupported opset_version: 16 < 17) [ 81%] 2023-07-07T20:05:40.6591735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 81%] 2023-07-07T20:05:40.6592026Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0007s] (Unsupported opset_version: 16 < 17) [ 82%] 2023-07-07T20:05:40.6592318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 82%] 2023-07-07T20:05:40.6592618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 82%] 2023-07-07T20:05:40.6592910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_input_size SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 82%] 2023-07-07T20:05:40.6593208Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_stft_wrong_window_length SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 82%] 2023-07-07T20:05:40.6593447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_sum PASSED [0.0096s] [ 82%] 2023-07-07T20:05:40.6593741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box PASSED [0.0852s] [ 82%] 2023-07-07T20:05:40.6594031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if PASSED [0.0205s] [ 82%] 2023-07-07T20:05:40.6594297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_1 PASSED [0.0129s] [ 82%] 2023-07-07T20:05:40.6594582Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_expand_2 PASSED [0.1605s] [ 82%] 2023-07-07T20:05:40.6594927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0149s] [ 82%] 2023-07-07T20:05:40.6595177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0091s] [ 82%] 2023-07-07T20:05:40.6595420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor PASSED [0.0723s] [ 82%] 2023-07-07T20:05:40.6595704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0243s] [ 82%] 2023-07-07T20:05:40.6596030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_ellipsis SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6596311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_split PASSED [0.0617s] [ 82%] 2023-07-07T20:05:40.6596573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar PASSED [0.0163s] [ 82%] 2023-07-07T20:05:40.6596829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count PASSED [0.0252s] [ 82%] 2023-07-07T20:05:40.6597075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_to_device PASSED [0.0201s] [ 82%] 2023-07-07T20:05:40.6597320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0093s] [ 82%] 2023-07-07T20:05:40.6597569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0173s] [ 82%] 2023-07-07T20:05:40.6597867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_transform_images SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6598114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_transpose_infer_shape PASSED [0.0241s] [ 82%] 2023-07-07T20:05:40.6598354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_triu PASSED [0.0490s] [ 82%] 2023-07-07T20:05:40.6598606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0124s] [ 82%] 2023-07-07T20:05:40.6598904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6599238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional_default_tensor_script PASSED [0.0346s] [ 82%] 2023-07-07T20:05:40.6599513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unbind PASSED [0.0473s] [ 82%] 2023-07-07T20:05:40.6599756Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unfold PASSED [0.0176s] [ 82%] 2023-07-07T20:05:40.6600037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0888s] [ 82%] 2023-07-07T20:05:40.6600293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized PASSED [0.0228s] [ 82%] 2023-07-07T20:05:40.6600556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_dynamic PASSED [0.0382s] [ 82%] 2023-07-07T20:05:40.6600956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_optional PASSED [0.0310s] [ 82%] 2023-07-07T20:05:40.6601376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_uninitialized_tensorList_dynamic PASSED [0.0618s] [ 82%] 2023-07-07T20:05:40.6601758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unique_along_dim PASSED [0.0164s] [ 82%] 2023-07-07T20:05:40.6602151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze PASSED [0.0122s] [ 82%] 2023-07-07T20:05:40.6602545Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim PASSED [0.0091s] [ 82%] 2023-07-07T20:05:40.6602907Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var PASSED [0.1879s] [ 82%] 2023-07-07T20:05:40.6603283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_along_dims PASSED [0.0369s] [ 82%] 2023-07-07T20:05:40.6603658Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_correction PASSED [0.0212s] [ 82%] 2023-07-07T20:05:40.6604034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0364s] [ 82%] 2023-07-07T20:05:40.6604510Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0332s] [ 82%] 2023-07-07T20:05:40.6604906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_mean_along_dims PASSED [0.0374s] [ 82%] 2023-07-07T20:05:40.6605297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_var_mean_correction PASSED [0.0223s] [ 82%] 2023-07-07T20:05:40.6605659Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_view PASSED [0.0104s] [ 82%] 2023-07-07T20:05:40.6606103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 82%] 2023-07-07T20:05:40.6607476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_where_condition_script PASSED [0.0266s] [ 82%] 2023-07-07T20:05:40.6607868Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_word_language_model_GRU PASSED [0.1364s] [ 82%] 2023-07-07T20:05:40.6608373Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6608748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_MSELoss PASSED [0.0274s] [ 82%] 2023-07-07T20:05:40.6609121Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0206s] [ 82%] 2023-07-07T20:05:40.6609488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0136s] [ 82%] 2023-07-07T20:05:40.6609946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_none SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6610449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_all_optional_default_tensor SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6610829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_amax_amin PASSED [0.0115s] [ 82%] 2023-07-07T20:05:40.6611196Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_any PASSED [0.0298s] [ 82%] 2023-07-07T20:05:40.6611569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_out PASSED [0.0122s] [ 82%] 2023-07-07T20:05:40.6611951Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0261s] [ 82%] 2023-07-07T20:05:40.6612355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_notype PASSED [0.0255s] [ 82%] 2023-07-07T20:05:40.6612744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_end_step_notype PASSED [0.0284s] [ 82%] 2023-07-07T20:05:40.6613128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_start_out PASSED [0.0271s] [ 82%] 2023-07-07T20:05:40.6613513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats PASSED [0.0794s] [ 82%] 2023-07-07T20:05:40.6613901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_out PASSED [0.0381s] [ 82%] 2023-07-07T20:05:40.6614308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arange_with_floats_override PASSED [0.0340s] [ 82%] 2023-07-07T20:05:40.6614715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax PASSED [0.0208s] [ 82%] 2023-07-07T20:05:40.6615145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index PASSED [0.0413s] [ 82%] 2023-07-07T20:05:40.6615517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_argsort PASSED [0.0114s] [ 82%] 2023-07-07T20:05:40.6615890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0431s] [ 82%] 2023-07-07T20:05:40.6616315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0540s] [ 82%] 2023-07-07T20:05:40.6616714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0572s] [ 82%] 2023-07-07T20:05:40.6617647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6618485Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6619444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6620401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6621118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.6621266Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.6621413Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.6621565Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.6621579Z 2023-07-07T20:05:40.6621669Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.6621815Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.6621960Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.6622112Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.6622120Z 2023-07-07T20:05:40.6622267Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.6622398Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.6622545Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.6622700Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.6622708Z 2023-07-07T20:05:40.6622713Z 2023-07-07T20:05:40.6622855Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.6622997Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.6623143Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.6623328Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.6623334Z 2023-07-07T20:05:40.6623475Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.6623616Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.6623776Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.6623925Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.6623931Z 2023-07-07T20:05:40.6624015Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.6624157Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.6624299Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.6624582Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6625192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6625758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.6625902Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.6626031Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.6626181Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.6626187Z 2023-07-07T20:05:40.6626274Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.6626414Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.6626602Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.6626751Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.6626756Z 2023-07-07T20:05:40.6626901Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.6627044Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.6627177Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.6627327Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.6627333Z 2023-07-07T20:05:40.6627338Z 2023-07-07T20:05:40.6627479Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.6627618Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.6627766Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.6627914Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.6627919Z 2023-07-07T20:05:40.6628061Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.6628205Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.6628353Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.6628487Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.6628493Z 2023-07-07T20:05:40.6628578Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.6628721Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.6628863Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.6629121Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6629745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 82%] 2023-07-07T20:05:40.6630023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool PASSED [0.0136s] [ 82%] 2023-07-07T20:05:40.6630352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0141s] [ 82%] 2023-07-07T20:05:40.6630650Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0158s] [ 82%] 2023-07-07T20:05:40.6630977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0159s] [ 82%] 2023-07-07T20:05:40.6631269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0148s] [ 82%] 2023-07-07T20:05:40.6631566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0158s] [ 82%] 2023-07-07T20:05:40.6631816Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0158s] [ 82%] 2023-07-07T20:05:40.6632057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_baddbmm PASSED [0.0143s] [ 82%] 2023-07-07T20:05:40.6632314Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_zeros_False PASSED [0.0649s] [ 82%] 2023-07-07T20:05:40.6653931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False PASSED [0.0642s] [ 82%] 2023-07-07T20:05:40.6654249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True PASSED [0.0644s] [ 82%] 2023-07-07T20:05:40.6654540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False PASSED [0.0653s] [ 82%] 2023-07-07T20:05:40.6654830Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_attr_copy_with_loop PASSED [0.0526s] [ 83%] 2023-07-07T20:05:40.6664471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_list PASSED [0.0221s] [ 83%] 2023-07-07T20:05:40.6664770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop PASSED [0.0865s] [ 83%] 2023-07-07T20:05:40.6665079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop PASSED [0.0170s] [ 83%] 2023-07-07T20:05:40.6665470Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_inplace_with_loop_2 PASSED [0.2195s] [ 83%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_default_stride PASSED [0.0144s] [ 83%] 2023-07-07T20:05:40.6688014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0091s] [ 83%] 2023-07-07T20:05:40.6688281Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_maxpool_with_indices PASSED [0.0134s] [ 83%] 2023-07-07T20:05:40.6688526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_mish PASSED [0.0103s] [ 83%] 2023-07-07T20:05:40.6688836Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional_default_none SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 83%] 2023-07-07T20:05:40.6689400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0166s] [ 83%] 2023-07-07T20:05:40.6689632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_movedim PASSED [0.0164s] [ 83%] 2023-07-07T20:05:40.6689878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0246s] [ 83%] 2023-07-07T20:05:40.6690181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_multi_scale_roi_align SKIPPED [0.0009s] (Unsupported opset_version: 16 > 15) [ 83%] 2023-07-07T20:05:40.6690435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0134s] [ 83%] 2023-07-07T20:05:40.6690681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss PASSED [0.0194s] [ 83%] 2023-07-07T20:05:40.6690963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean PASSED [0.0251s] [ 83%] 2023-07-07T20:05:40.6691263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index PASSED [0.0265s] [ 83%] 2023-07-07T20:05:40.6691542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights PASSED [0.0505s] [ 83%] 2023-07-07T20:05:40.6691821Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_2d_none PASSED [0.0253s] [ 83%] 2023-07-07T20:05:40.6692092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index PASSED [0.0520s] [ 83%] 2023-07-07T20:05:40.6692399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_nn_init_normal_correctness SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6692656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0122s] [ 83%] 2023-07-07T20:05:40.6692904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_normalize PASSED [0.0151s] [ 83%] 2023-07-07T20:05:40.6693141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0112s] [ 83%] 2023-07-07T20:05:40.6693409Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_numpy_T PASSED [0.0089s] [ 83%] 2023-07-07T20:05:40.6693684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0 PASSED [0.0231s] [ 83%] 2023-07-07T20:05:40.6693957Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0 PASSED [0.0213s] [ 83%] 2023-07-07T20:05:40.6694232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 PASSED [0.0217s] [ 83%] 2023-07-07T20:05:40.6694509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 PASSED [0.0272s] [ 83%] 2023-07-07T20:05:40.6694755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_outer PASSED [0.0320s] [ 83%] 2023-07-07T20:05:40.6694998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0161s] [ 83%] 2023-07-07T20:05:40.6695257Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_pad_types_scalar_list PASSED [0.0193s] [ 83%] 2023-07-07T20:05:40.6695494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_pow PASSED [0.0645s] [ 83%] 2023-07-07T20:05:40.6695735Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_prelu PASSED [0.0106s] [ 83%] 2023-07-07T20:05:40.6695982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0310s] [ 83%] 2023-07-07T20:05:40.6696266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0109s] [ 83%] 2023-07-07T20:05:40.6696541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_primitive_input_integer PASSED [0.0095s] [ 83%] 2023-07-07T20:05:40.6696822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0131s] [ 83%] 2023-07-07T20:05:40.6697068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_qat_conv2d_relu PASSED [0.0640s] [ 83%] 2023-07-07T20:05:40.6697382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_qat_linear_per_channel PASSED [0.0499s] [ 83%] 2023-07-07T20:05:40.6697640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantize_per_tensor PASSED [0.0193s] [ 83%] 2023-07-07T20:05:40.6697963Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_arithmetic_qfunctional SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6698273Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_scale SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6698590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6698946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_cat_when_concatinating_the_same_tensor SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6699205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv1d PASSED [0.0382s] [ 83%] 2023-07-07T20:05:40.6699459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d PASSED [0.0399s] [ 83%] 2023-07-07T20:05:40.6699719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0397s] [ 83%] 2023-07-07T20:05:40.6699985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose1d PASSED [0.0374s] [ 83%] 2023-07-07T20:05:40.6700252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_conv_transpose2d PASSED [0.0483s] [ 83%] 2023-07-07T20:05:40.6700496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_flatten PASSED [0.0221s] [ 83%] 2023-07-07T20:05:40.6700874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 83%] 2023-07-07T20:05:40.6701186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6701501Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6701857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_layer_norm SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6702165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_leaky_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6702482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_hardswish SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6702811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6703116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_select SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6703415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_tanh SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6703721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6704050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_quantized_unary_ops_view SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6704299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rand_dtype PASSED [0.0642s] [ 83%] 2023-07-07T20:05:40.6704543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rand_like PASSED [0.0301s] [ 83%] 2023-07-07T20:05:40.6704794Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0685s] [ 83%] 2023-07-07T20:05:40.6705049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0458s] [ 83%] 2023-07-07T20:05:40.6705283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_randn_like PASSED [0.0221s] [ 83%] 2023-07-07T20:05:40.6705531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0268s] [ 83%] 2023-07-07T20:05:40.6705780Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0185s] [ 83%] 2023-07-07T20:05:40.6706029Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_reflection_pad PASSED [0.0445s] [ 83%] 2023-07-07T20:05:40.6706270Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_remainder PASSED [0.0641s] [ 83%] 2023-07-07T20:05:40.6706512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_repeat PASSED [0.0229s] [ 83%] 2023-07-07T20:05:40.6706802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0217s] [ 83%] 2023-07-07T20:05:40.6707077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_resize_images PASSED [0.0971s] [ 83%] 2023-07-07T20:05:40.6707490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0013s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6707925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6708333Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6708727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout SKIPPED [0.0012s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6709160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) [ 83%] 2023-07-07T20:05:40.6709579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout SKIPPED [0.0011s] (Skip verify test for TorchScript.) 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[ 84%] 2023-07-07T20:05:40.6763265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0186s] [ 84%] 2023-07-07T20:05:40.6763518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic_axes PASSED [0.0111s] [ 84%] 2023-07-07T20:05:40.6763814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_size_as_list SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 84%] 2023-07-07T20:05:40.6764072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_size_with_slice PASSED [0.0325s] [ 84%] 2023-07-07T20:05:40.6764328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_multi PASSED [0.0010s] [ 84%] 2023-07-07T20:05:40.6764723Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0119s] [ 84%] 2023-07-07T20:05:40.6764971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_square PASSED [0.0093s] [ 84%] 2023-07-07T20:05:40.6765275Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_squeeze PASSED [0.0100s] [ 84%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0280s] [ 84%] 2023-07-07T20:05:40.6768374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0282s] [ 84%] 2023-07-07T20:05:40.6768663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 16 < 17) [ 84%] 2023-07-07T20:05:40.6768962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 84%] 2023-07-07T20:05:40.6769269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 84%] 2023-07-07T20:05:40.6769566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_window_int_same_size SKIPPED [0.0007s] (Unsupported opset_version: 16 < 17) [ 84%] 2023-07-07T20:05:40.6769864Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 16 < 17) [ 84%] 2023-07-07T20:05:40.6770165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0007s] (Unsupported opset_version: 16 < 17) [ 84%] 2023-07-07T20:05:40.6770496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_stft_wrong_return_complex SKIPPED [0.0007s] (Unsupported opset_version: 16 < 17) [ 84%] 2023-07-07T20:05:40.6770770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_sum PASSED [0.0098s] [ 84%] 2023-07-07T20:05:40.6771044Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0584s] [ 84%] 2023-07-07T20:05:40.6771313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1 PASSED [0.0128s] [ 84%] 2023-07-07T20:05:40.6771613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.1659s] [ 84%] 2023-07-07T20:05:40.6771883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0560s] [ 84%] 2023-07-07T20:05:40.6772127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tanh_gelu PASSED [0.0162s] [ 84%] 2023-07-07T20:05:40.6772378Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0096s] [ 84%] 2023-07-07T20:05:40.6772631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensor_factories PASSED [0.0215s] [ 84%] 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[ 84%] 2023-07-07T20:05:40.6773792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensor_like_factories_script PASSED [0.0185s] [ 84%] 2023-07-07T20:05:40.6774049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dim_count PASSED [0.0260s] [ 84%] 2023-07-07T20:05:40.6774311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim PASSED [0.0298s] [ 84%] 2023-07-07T20:05:40.6774557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_to_device PASSED [0.0208s] [ 84%] 2023-07-07T20:05:40.6774804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tolist PASSED [0.0074s] [ 84%] 2023-07-07T20:05:40.6775043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_topk PASSED [0.0115s] [ 84%] 2023-07-07T20:05:40.6775291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0096s] [ 84%] 2023-07-07T20:05:40.6775554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_topk_smallest_unsorted PASSED [0.0168s] [ 84%] 2023-07-07T20:05:40.6775824Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0098s] [ 84%] 2023-07-07T20:05:40.6776103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_trace_script PASSED [0.0173s] [ 84%] 2023-07-07T20:05:40.6776387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_transform_images SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 84%] 2023-07-07T20:05:40.6776632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tril PASSED [0.0349s] [ 84%] 2023-07-07T20:05:40.6776906Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_input PASSED [0.0090s] [ 84%] 2023-07-07T20:05:40.6777207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 84%] 2023-07-07T20:05:40.6777471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_primitive_input PASSED [0.0109s] [ 84%] 2023-07-07T20:05:40.6777732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_tuple_with_none_outputs PASSED [0.0099s] [ 84%] 2023-07-07T20:05:40.6777974Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_type_as PASSED [0.0248s] [ 84%] 2023-07-07T20:05:40.6778219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unbind PASSED [0.0349s] [ 84%] 2023-07-07T20:05:40.6778496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unbind_dynamic PASSED [0.0177s] [ 84%] 2023-07-07T20:05:40.6778739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unfold PASSED [0.0136s] [ 84%] 2023-07-07T20:05:40.6778996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unfold_infer_shape PASSED [0.0484s] [ 84%] 2023-07-07T20:05:40.6779248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_uninitialized PASSED [0.0171s] [ 84%] 2023-07-07T20:05:40.6779509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_dynamic PASSED [0.0290s] [ 84%] 2023-07-07T20:05:40.6779762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList PASSED [0.0171s] [ 84%] 2023-07-07T20:05:40.6780017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unique_along_dim PASSED [0.0115s] [ 84%] 2023-07-07T20:05:40.6780268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0103s] [ 84%] 2023-07-07T20:05:40.6780528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim PASSED [0.0087s] [ 84%] 2023-07-07T20:05:40.6780772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var PASSED [0.1789s] [ 84%] 2023-07-07T20:05:40.6781023Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_along_dims PASSED [0.0275s] [ 84%] 2023-07-07T20:05:40.6781307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_correction PASSED [0.0154s] [ 84%] 2023-07-07T20:05:40.6781580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_keepdim PASSED [0.0266s] [ 84%] 2023-07-07T20:05:40.6781827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0242s] [ 84%] 2023-07-07T20:05:40.6782078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_mean_keepdim PASSED [0.0279s] [ 84%] 2023-07-07T20:05:40.6782363Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims PASSED [0.0352s] [ 84%] 2023-07-07T20:05:40.6782660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_weight_norm SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 84%] 2023-07-07T20:05:40.6782959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 84%] 2023-07-07T20:05:40.6783186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_where PASSED [0.0097s] [ 84%] 2023-07-07T20:05:40.6783446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script PASSED [0.0260s] [ 84%] 2023-07-07T20:05:40.6783731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0061s] [ 84%] 2023-07-07T20:05:40.6784047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 84%] 2023-07-07T20:05:40.6784289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_any PASSED [0.0175s] [ 84%] 2023-07-07T20:05:40.6784540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_dynamic PASSED [0.0209s] [ 84%] 2023-07-07T20:05:40.6784787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0147s] [ 84%] 2023-07-07T20:05:40.6785049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_end_notype PASSED [0.0203s] [ 84%] 2023-07-07T20:05:40.6785309Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0136s] [ 84%] 2023-07-07T20:05:40.6785572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_notype PASSED [0.0131s] [ 84%] 2023-07-07T20:05:40.6785831Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_out PASSED [0.0249s] [ 84%] 2023-07-07T20:05:40.6786099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats_override PASSED [0.0215s] [ 84%] 2023-07-07T20:05:40.6786354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax PASSED [0.0173s] [ 84%] 2023-07-07T20:05:40.6786639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic PASSED [0.0100s] [ 85%] 2023-07-07T20:05:40.6786929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0036s] [ 85%] 2023-07-07T20:05:40.6787188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_bool PASSED [0.0111s] [ 85%] 2023-07-07T20:05:40.6787447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0182s] [ 85%] 2023-07-07T20:05:40.6787720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_as_strided PASSED [0.0311s] [ 85%] 2023-07-07T20:05:40.6788294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0101s] [ 85%] 2023-07-07T20:05:40.6788858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0042s] [ 85%] 2023-07-07T20:05:40.6789410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.6789552Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.6789639Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.6789688Z 2023-07-07T20:05:40.6789828Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.6789963Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.6790137Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0040s] [ 85%] 2023-07-07T20:05:40.6790690Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.6790826Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.6790910Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.6790918Z 2023-07-07T20:05:40.6791049Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.6791184Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.6791369Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0040s] [ 85%] 2023-07-07T20:05:40.6791928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0054s] [ 85%] 2023-07-07T20:05:40.6792459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.6792568Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0044s] [ 85%] 2023-07-07T20:05:40.6793094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.6793261Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.6793345Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.6793350Z 2023-07-07T20:05:40.6793482Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.6793616Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.6793872Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0038s] [ 85%] 2023-07-07T20:05:40.6794806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.6795072Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.6795290Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.6795499Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.6795527Z 2023-07-07T20:05:40.6795644Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.6795859Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.6796076Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.6796304Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.6796312Z 2023-07-07T20:05:40.6796532Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.6796751Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.6796969Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.6797185Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.6797211Z 2023-07-07T20:05:40.6797219Z 2023-07-07T20:05:40.6797420Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.6797637Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.6797892Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.6798120Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.6798128Z 2023-07-07T20:05:40.6798339Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.6798556Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.6798776Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.6798998Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.6799006Z 2023-07-07T20:05:40.6799120Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.6799335Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.6799558Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.6799845Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0037s] [ 85%] 2023-07-07T20:05:40.6800227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_auto_grad PASSED [0.0082s] [ 85%] 2023-07-07T20:05:40.6800695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0110s] [ 85%] 2023-07-07T20:05:40.6801151Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0129s] [ 85%] 2023-07-07T20:05:40.6801600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0112s] [ 85%] 2023-07-07T20:05:40.6802058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_False PASSED [0.0116s] [ 85%] 2023-07-07T20:05:40.6802538Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0132s] [ 85%] 2023-07-07T20:05:40.6802948Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_baddbmm PASSED [0.0095s] [ 85%] 2023-07-07T20:05:40.6803321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_baddbmm_dynamic PASSED [0.0074s] [ 85%] 2023-07-07T20:05:40.6803701Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0133s] [ 85%] 2023-07-07T20:05:40.6804146Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0205s] [ 85%] 2023-07-07T20:05:40.6804644Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training PASSED [0.0578s] [ 85%] 2023-07-07T20:05:40.6805025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p PASSED [0.0274s] [ 85%] 2023-07-07T20:05:40.6805403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_bitshift_uint8 PASSED [0.0106s] [ 85%] 2023-07-07T20:05:40.6805788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_broad_cast_tensors PASSED [0.0215s] [ 85%] 2023-07-07T20:05:40.6806167Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cast_to_bool PASSED [0.0070s] [ 85%] 2023-07-07T20:05:40.6806592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cdist PASSED [0.0100s] [ 85%] 2023-07-07T20:05:40.6806962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha PASSED [0.0049s] [ 85%] 2023-07-07T20:05:40.6807340Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_celu_cast PASSED [0.0056s] [ 85%] 2023-07-07T20:05:40.6807721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_celu_default PASSED [0.0047s] [ 85%] 2023-07-07T20:05:40.6808073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_chunk PASSED [0.0689s] [ 85%] 2023-07-07T20:05:40.6808442Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_clamp PASSED [0.0156s] [ 85%] 2023-07-07T20:05:40.6808814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_clip_int PASSED [0.0056s] [ 85%] 2023-07-07T20:05:40.6809184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_concat PASSED [0.0055s] [ 85%] 2023-07-07T20:05:40.6809567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_constant_pad PASSED [0.0242s] [ 85%] 2023-07-07T20:05:40.6809931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_conv PASSED [0.5946s] [ 85%] 2023-07-07T20:05:40.6810326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32 PASSED [0.0238s] [ 85%] 2023-07-07T20:05:40.6810738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_ PASSED [0.1930s] [ 85%] 2023-07-07T20:05:40.6811155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis PASSED [0.0760s] [ 85%] 2023-07-07T20:05:40.6811549Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script PASSED [0.0461s] [ 85%] 2023-07-07T20:05:40.6811924Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_copy_tracing PASSED [0.0275s] [ 85%] 2023-07-07T20:05:40.6812328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cross PASSED [0.0342s] [ 85%] 2023-07-07T20:05:40.6812705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss PASSED [0.2799s] [ 85%] 2023-07-07T20:05:40.6813083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cste_script PASSED [0.0050s] [ 85%] 2023-07-07T20:05:40.6813468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_cumsum_with_cast PASSED [0.0109s] [ 85%] 2023-07-07T20:05:40.6813814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dict PASSED [0.0046s] [ 85%] 2023-07-07T20:05:40.6814175Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dim PASSED [0.0045s] [ 85%] 2023-07-07T20:05:40.6814452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dim_1 PASSED [0.0036s] [ 85%] 2023-07-07T20:05:40.6814716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dist_normal_correctness PASSED [0.0219s] [ 85%] 2023-07-07T20:05:40.6814966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform PASSED [0.0434s] [ 85%] 2023-07-07T20:05:40.6815227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness PASSED [0.0154s] [ 85%] 2023-07-07T20:05:40.6815488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0137s] [ 85%] 2023-07-07T20:05:40.6815748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0089s] [ 85%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights PASSED [0.0208s] [ 85%] 2023-07-07T20:05:40.6817728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_dynamic_input SKIPPED [0.0002s] (Due to ONNX Loop shape inference issue. https://msdata.visualstudio.com/Vienna/_workitems/edit/1352001) [ 85%] 2023-07-07T20:05:40.6817967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_eq PASSED [0.0153s] [ 85%] 2023-07-07T20:05:40.6818209Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_expand PASSED [0.0271s] [ 85%] 2023-07-07T20:05:40.6818474Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_flip PASSED [0.0065s] [ 85%] 2023-07-07T20:05:40.6820018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_floating_point_infer_dtype PASSED [0.0075s] [ 85%] 2023-07-07T20:05:40.6820332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_floor_div SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 85%] 2023-07-07T20:05:40.6820646Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_floor_div_script SKIPPED [0.0001s] (Floor division on ONNX is inconsistent with eager (see #78411)) [ 85%] 2023-07-07T20:05:40.6820890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fmod PASSED [0.0044s] [ 85%] 2023-07-07T20:05:40.6821138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar PASSED [0.0056s] [ 85%] 2023-07-07T20:05:40.6821389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0084s] [ 85%] 2023-07-07T20:05:40.6821649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim PASSED [0.0083s] [ 85%] 2023-07-07T20:05:40.6821900Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_full_like_value PASSED [0.0082s] [ 85%] 2023-07-07T20:05:40.6822143Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_max_tensors PASSED [0.0042s] [ 85%] 2023-07-07T20:05:40.6846481Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes PASSED [0.0151s] [ 85%] 2023-07-07T20:05:40.6846724Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool PASSED [0.0068s] [ 85%] 2023-07-07T20:05:40.6846997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_1d_ceil PASSED [0.0067s] [ 85%] 2023-07-07T20:05:40.6847244Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d PASSED [0.0067s] [ 85%] 2023-07-07T20:05:40.6847493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_2d_ceil PASSED [0.0149s] [ 85%] 2023-07-07T20:05:40.6847751Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_maxpool_with_indices PASSED [0.0110s] [ 85%] 2023-07-07T20:05:40.6847997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_meshgrid PASSED [0.0148s] [ 85%] 2023-07-07T20:05:40.6848249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes PASSED [0.0160s] [ 85%] 2023-07-07T20:05:40.6848496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional PASSED [0.0071s] [ 85%] 2023-07-07T20:05:40.6848762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_none PASSED [0.0228s] [ 85%] 2023-07-07T20:05:40.6849078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 85%] 2023-07-07T20:05:40.6849381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mod_with_low_precision SKIPPED [0.0008s] (Unsupported opset_version: 16 > 13) [ 85%] 2023-07-07T20:05:40.6849660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_moveaxis PASSED [0.0127s] [ 85%] 2023-07-07T20:05:40.6849929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mul_bool PASSED [0.0115s] [ 85%] 2023-07-07T20:05:40.6850224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multi_scale_roi_align SKIPPED [0.0009s] (Unsupported opset_version: 16 > 15) [ 85%] 2023-07-07T20:05:40.6850460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multinomial PASSED [0.0100s] [ 85%] 2023-07-07T20:05:40.6850743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multiple_conv_bn PASSED [0.1099s] [ 85%] 2023-07-07T20:05:40.6851024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_multiple_dynamic_repeat_interleave PASSED [0.0469s] [ 86%] 2023-07-07T20:05:40.6851259Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_mv PASSED [0.0092s] [ 86%] 2023-07-07T20:05:40.6851502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nan_to_num PASSED [0.0433s] [ 86%] 2023-07-07T20:05:40.6851754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nested_tuple_input PASSED [0.0066s] [ 86%] 2023-07-07T20:05:40.6852000Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_new_empty PASSED [0.0251s] [ 86%] 2023-07-07T20:05:40.6852266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_new_full PASSED [0.0238s] [ 86%] 2023-07-07T20:05:40.6852514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_new_zeros PASSED [0.0226s] [ 86%] 2023-07-07T20:05:40.6852757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss PASSED [0.0113s] [ 86%] 2023-07-07T20:05:40.6853008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean PASSED [0.0553s] [ 86%] 2023-07-07T20:05:40.6853269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_ignore_index PASSED [0.0202s] [ 86%] 2023-07-07T20:05:40.6853531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_mean_weights PASSED [0.0156s] [ 86%] 2023-07-07T20:05:40.6853768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_none PASSED [0.0151s] [ 86%] 2023-07-07T20:05:40.6854015Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nllloss_2d_sum PASSED [0.0149s] [ 86%] 2023-07-07T20:05:40.6854277Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_nn_init_normal_correctness PASSED [0.0138s] [ 86%] 2023-07-07T20:05:40.6854523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_numel PASSED [0.0064s] [ 86%] 2023-07-07T20:05:40.6854769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_one_hot PASSED [0.0134s] [ 86%] 2023-07-07T20:05:40.6855040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_ones_bool PASSED [0.0154s] [ 86%] 2023-07-07T20:05:40.6855384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneInput_0 SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 86%] 2023-07-07T20:05:40.6855698Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_IfNoneOutput_0 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 86%] 2023-07-07T20:05:40.6856037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 86%] 2023-07-07T20:05:40.6856349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0007s] (Skip verify test for torch trace.) [ 86%] 2023-07-07T20:05:40.6856593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_outer PASSED [0.0170s] [ 86%] 2023-07-07T20:05:40.6856841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_circular PASSED [0.0118s] [ 86%] 2023-07-07T20:05:40.6857102Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative PASSED [0.0072s] [ 86%] 2023-07-07T20:05:40.6857347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list PASSED [0.0162s] [ 86%] 2023-07-07T20:05:40.6857640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list PASSED [0.0166s] [ 86%] 2023-07-07T20:05:40.6857898Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0093s] [ 86%] 2023-07-07T20:05:40.6858139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_pow PASSED [0.0319s] [ 86%] 2023-07-07T20:05:40.6858380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_prelu PASSED [0.0055s] [ 86%] 2023-07-07T20:05:40.6858633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_prelu_scalar PASSED [0.0047s] [ 86%] 2023-07-07T20:05:40.6858879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_prim_min PASSED [0.0260s] [ 86%] 2023-07-07T20:05:40.6859138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0061s] [ 86%] 2023-07-07T20:05:40.6859463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_floating PASSED [0.0057s] [ 86%] 2023-07-07T20:05:40.6859893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0194s] [ 86%] 2023-07-07T20:05:40.6860324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0135s] [ 86%] 2023-07-07T20:05:40.6860704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d PASSED [0.0551s] [ 86%] 2023-07-07T20:05:40.6861116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu PASSED [0.0599s] [ 86%] 2023-07-07T20:05:40.6861524Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu_fused PASSED [0.0587s] [ 86%] 2023-07-07T20:05:40.6861926Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel PASSED [0.0468s] [ 86%] 2023-07-07T20:05:40.6862707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6863233Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6863349Z PASSED [0.0172s] [ 86%] 2023-07-07T20:05:40.6864117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6864678Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6864799Z PASSED [0.0122s] [ 86%] 2023-07-07T20:05:40.6865210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_adaptive_avg_pool2d PASSED [0.0142s] [ 86%] 2023-07-07T20:05:40.6865642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale PASSED [0.0157s] [ 86%] 2023-07-07T20:05:40.6866079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0150s] [ 86%] 2023-07-07T20:05:40.6866482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0395s] [ 86%] 2023-07-07T20:05:40.6866873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d PASSED [0.0413s] [ 86%] 2023-07-07T20:05:40.6867268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu PASSED [0.0419s] [ 86%] 2023-07-07T20:05:40.6867671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose2d PASSED [0.0620s] [ 86%] 2023-07-07T20:05:40.6868060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d PASSED [0.1098s] [ 86%] 2023-07-07T20:05:40.6868447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_flatten PASSED [0.0161s] [ 86%] 2023-07-07T20:05:40.6869063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 86%] 2023-07-07T20:05:40.6869497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_expand PASSED [0.0166s] [ 86%] 2023-07-07T20:05:40.6869909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_group_norm PASSED [0.0449s] [ 86%] 2023-07-07T20:05:40.6870352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardsigmoid PASSED [0.0207s] [ 86%] 2023-07-07T20:05:40.6870765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_hardtanh PASSED [0.0220s] [ 86%] 2023-07-07T20:05:40.6871180Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm PASSED [0.0242s] [ 86%] 2023-07-07T20:05:40.6871590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm PASSED [0.0255s] [ 86%] 2023-07-07T20:05:40.6872011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0152s] [ 86%] 2023-07-07T20:05:40.6872415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_relu PASSED [0.0130s] [ 86%] 2023-07-07T20:05:40.6872850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_tanh PASSED [0.0141s] [ 86%] 2023-07-07T20:05:40.6873264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose PASSED [0.0118s] [ 86%] 2023-07-07T20:05:40.6873633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rand PASSED [0.0086s] [ 86%] 2023-07-07T20:05:40.6873994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0102s] [ 86%] 2023-07-07T20:05:40.6874370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_randn_like PASSED [0.0117s] [ 86%] 2023-07-07T20:05:40.6874839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduce_log_sum_exp PASSED [0.0082s] [ 86%] 2023-07-07T20:05:40.6875218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0097s] [ 86%] 2023-07-07T20:05:40.6875592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum PASSED [0.0387s] [ 86%] 2023-07-07T20:05:40.6875980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum_dtypes PASSED [0.0109s] [ 86%] 2023-07-07T20:05:40.6876360Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_reflection_pad PASSED [0.0229s] [ 86%] 2023-07-07T20:05:40.6876736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0043s] [ 86%] 2023-07-07T20:05:40.6877157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_remainder_scalar PASSED [0.0115s] [ 86%] 2023-07-07T20:05:40.6878123Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6878681Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6879203Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6879712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6879816Z PASSED [0.0564s] [ 86%] 2023-07-07T20:05:40.6880484Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6880830Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6881166Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6881231Z PASSED [0.0515s] [ 86%] 2023-07-07T20:05:40.6881848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6882199Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6882533Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6882611Z PASSED [0.0513s] [ 86%] 2023-07-07T20:05:40.6883213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6883601Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6883939Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6884066Z PASSED [0.0449s] [ 86%] 2023-07-07T20:05:40.6884559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0330s] [ 86%] 2023-07-07T20:05:40.6885173Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6885513Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6885902Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6885983Z PASSED [0.0399s] [ 86%] 2023-07-07T20:05:40.6886592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6886929Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6887269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6887347Z PASSED [0.0402s] [ 86%] 2023-07-07T20:05:40.6887946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6888291Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6888669Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6889042Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6889121Z PASSED [0.0405s] [ 86%] 2023-07-07T20:05:40.6889464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0278s] [ 86%] 2023-07-07T20:05:40.6890105Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6890448Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6890783Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6890861Z PASSED [0.0360s] [ 86%] 2023-07-07T20:05:40.6891495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6891830Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6892170Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6892251Z PASSED [0.0358s] [ 86%] 2023-07-07T20:05:40.6892846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6893179Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6893521Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6893892Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6893969Z PASSED [0.0365s] [ 86%] 2023-07-07T20:05:40.6894603Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6894975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6895313Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6895645Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6895719Z PASSED [0.0360s] [ 86%] 2023-07-07T20:05:40.6896083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0241s] [ 86%] 2023-07-07T20:05:40.6896476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0243s] [ 86%] 2023-07-07T20:05:40.6897089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6897431Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6897772Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6897850Z PASSED [0.0307s] [ 86%] 2023-07-07T20:05:40.6898449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6898804Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6899187Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6899524Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6899600Z PASSED [0.0308s] [ 86%] 2023-07-07T20:05:40.6899989Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0184s] [ 86%] 2023-07-07T20:05:40.6900597Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6900933Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6901268Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6901374Z PASSED [0.0313s] [ 86%] 2023-07-07T20:05:40.6901975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6902309Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6902648Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6902984Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6903062Z PASSED [0.0324s] [ 86%] 2023-07-07T20:05:40.6903416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0209s] [ 86%] 2023-07-07T20:05:40.6903768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0206s] [ 86%] 2023-07-07T20:05:40.6904394Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6904760Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6905119Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6905460Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6905538Z PASSED [0.0270s] [ 86%] 2023-07-07T20:05:40.6906140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6906504Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6906843Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6907183Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6907249Z PASSED [0.0268s] [ 86%] 2023-07-07T20:05:40.6907600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0152s] [ 86%] 2023-07-07T20:05:40.6907959Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0152s] [ 86%] 2023-07-07T20:05:40.6908566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6908903Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6909244Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6909349Z PASSED [0.0565s] [ 86%] 2023-07-07T20:05:40.6909978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6910338Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6910669Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6910748Z PASSED [0.0562s] [ 86%] 2023-07-07T20:05:40.6911352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6911714Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6912050Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6912388Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6912471Z PASSED [0.0564s] [ 86%] 2023-07-07T20:05:40.6912832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0439s] [ 86%] 2023-07-07T20:05:40.6913444Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6913786Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6914127Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6914233Z PASSED [0.0509s] [ 86%] 2023-07-07T20:05:40.6914946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6915289Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6915653Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6915979Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6916058Z PASSED [0.0519s] [ 86%] 2023-07-07T20:05:40.6916420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0384s] [ 86%] 2023-07-07T20:05:40.6916788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0383s] [ 86%] 2023-07-07T20:05:40.6917178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0330s] [ 86%] 2023-07-07T20:05:40.6917783Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6918127Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6918462Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6918539Z PASSED [0.0395s] [ 86%] 2023-07-07T20:05:40.6919138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6919478Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6919840Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6920205Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6920284Z PASSED [0.0403s] [ 86%] 2023-07-07T20:05:40.6920887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6921254Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6921587Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6921925Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6922001Z PASSED [0.0400s] [ 86%] 2023-07-07T20:05:40.6922386Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0275s] [ 86%] 2023-07-07T20:05:40.6922994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6923336Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6923669Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6923748Z PASSED [0.0362s] [ 86%] 2023-07-07T20:05:40.6924349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6924964Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6925593Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6925712Z PASSED [0.0356s] [ 86%] 2023-07-07T20:05:40.6926630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6927182Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6927697Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6928210Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6928327Z PASSED [0.0359s] [ 86%] 2023-07-07T20:05:40.6928921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0246s] [ 86%] 2023-07-07T20:05:40.6929855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6930370Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6930879Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6930994Z PASSED [0.0308s] [ 86%] 2023-07-07T20:05:40.6931927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6932433Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6932948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6933091Z PASSED [0.0301s] [ 86%] 2023-07-07T20:05:40.6934053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6934593Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6935095Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6935606Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6935723Z PASSED [0.0305s] [ 86%] 2023-07-07T20:05:40.6936260Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0188s] [ 86%] 2023-07-07T20:05:40.6936854Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0186s] [ 86%] 2023-07-07T20:05:40.6937776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6938289Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6938801Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6938919Z PASSED [0.0316s] [ 86%] 2023-07-07T20:05:40.6939833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6940346Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6940913Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6941461Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6941576Z PASSED [0.0320s] [ 86%] 2023-07-07T20:05:40.6942496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6943037Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6943546Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6943660Z PASSED [0.0272s] [ 86%] 2023-07-07T20:05:40.6944587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6944941Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6945274Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6945611Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6945690Z PASSED [0.0269s] [ 86%] 2023-07-07T20:05:40.6946053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0153s] [ 86%] 2023-07-07T20:05:40.6946660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6947004Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6947366Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6947442Z PASSED [0.1154s] [ 86%] 2023-07-07T20:05:40.6947814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1036s] [ 86%] 2023-07-07T20:05:40.6948420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6948789Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6949121Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6949196Z PASSED [0.1113s] [ 86%] 2023-07-07T20:05:40.6949833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6950173Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6950507Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6950588Z PASSED [0.1110s] [ 86%] 2023-07-07T20:05:40.6951186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6951525Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6951859Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6952199Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6952305Z PASSED [0.1113s] [ 86%] 2023-07-07T20:05:40.6952681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0618s] [ 86%] 2023-07-07T20:05:40.6953279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6953646Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6953989Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6954065Z PASSED [0.0688s] [ 86%] 2023-07-07T20:05:40.6954742Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6955128Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6955466Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6955545Z PASSED [0.0683s] [ 86%] 2023-07-07T20:05:40.6956144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6956481Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6956817Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6957139Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6957218Z PASSED [0.0686s] [ 86%] 2023-07-07T20:05:40.6957843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6958212Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6958553Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6958932Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6959014Z PASSED [0.0683s] [ 86%] 2023-07-07T20:05:40.6959376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0556s] [ 86%] 2023-07-07T20:05:40.6960034Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6960377Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6960710Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6960789Z PASSED [0.0548s] [ 86%] 2023-07-07T20:05:40.6961390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6961732Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6962070Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6962408Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6962490Z PASSED [0.0558s] [ 86%] 2023-07-07T20:05:40.6963124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6963489Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6963846Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6963927Z PASSED [0.0494s] [ 86%] 2023-07-07T20:05:40.6964686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6965024Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6965414Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6965482Z PASSED [0.0498s] [ 86%] 2023-07-07T20:05:40.6966085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6966423Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6966765Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6967110Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6967189Z PASSED [0.0498s] [ 86%] 2023-07-07T20:05:40.6967555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0372s] [ 86%] 2023-07-07T20:05:40.6968160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6968569Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6968909Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6969019Z PASSED [0.0411s] [ 86%] 2023-07-07T20:05:40.6969621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6969964Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6970300Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6970382Z PASSED [0.0412s] [ 86%] 2023-07-07T20:05:40.6971006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6971351Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6971688Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6972027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6972106Z PASSED [0.0413s] [ 86%] 2023-07-07T20:05:40.6972705Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6973043Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6973382Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6973797Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6973863Z PASSED [0.0412s] [ 86%] 2023-07-07T20:05:40.6974222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0300s] [ 86%] 2023-07-07T20:05:40.6974849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6975193Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6975531Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6975890Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6975968Z PASSED [0.0361s] [ 86%] 2023-07-07T20:05:40.6976320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0244s] [ 86%] 2023-07-07T20:05:40.6976923Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6977266Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6977603Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6977938Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6978018Z PASSED [0.1206s] [ 86%] 2023-07-07T20:05:40.6978627Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6979023Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6979359Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6979722Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6979802Z PASSED [0.1210s] [ 86%] 2023-07-07T20:05:40.6980164Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1049s] [ 86%] 2023-07-07T20:05:40.6980769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6981144Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6981482Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6981814Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6981880Z PASSED [0.1172s] [ 86%] 2023-07-07T20:05:40.6982245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1161s] [ 86%] 2023-07-07T20:05:40.6982611Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.1029s] [ 86%] 2023-07-07T20:05:40.6983205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6983549Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6983911Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6984012Z PASSED [0.0769s] [ 86%] 2023-07-07T20:05:40.6984366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0638s] [ 86%] 2023-07-07T20:05:40.6984971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6985347Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6985683Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6985760Z PASSED [0.0722s] [ 86%] 2023-07-07T20:05:40.6986375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6986720Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6987055Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6987394Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6987474Z PASSED [0.0728s] [ 86%] 2023-07-07T20:05:40.6987824Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0613s] [ 86%] 2023-07-07T20:05:40.6988264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0614s] [ 86%] 2023-07-07T20:05:40.6989188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6989772Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6990283Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6990401Z PASSED [0.0540s] [ 86%] 2023-07-07T20:05:40.6991362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6991878Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6992387Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6992489Z PASSED [0.0764s] [ 86%] 2023-07-07T20:05:40.6993446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6993968Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6994482Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6995064Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6995178Z PASSED [0.0795s] [ 86%] 2023-07-07T20:05:40.6995727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0610s] [ 86%] 2023-07-07T20:05:40.6996652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6997176Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6997750Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6997868Z PASSED [0.0702s] [ 86%] 2023-07-07T20:05:40.6998793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6999341Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6999851Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.6999965Z PASSED [0.0700s] [ 86%] 2023-07-07T20:05:40.7000929Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7001451Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7001959Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7002468Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7002586Z PASSED [0.0699s] [ 86%] 2023-07-07T20:05:40.7003514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7004027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7004637Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7005153Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7005306Z PASSED [0.0548s] [ 86%] 2023-07-07T20:05:40.7005893Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0388s] [ 86%] 2023-07-07T20:05:40.7006447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0384s] [ 86%] 2023-07-07T20:05:40.7007399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7007914Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7008313Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7008394Z PASSED [0.0405s] [ 86%] 2023-07-07T20:05:40.7009040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7009383Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7009721Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7010064Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7010143Z PASSED [0.0406s] [ 86%] 2023-07-07T20:05:40.7010494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0290s] [ 86%] 2023-07-07T20:05:40.7010847Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0289s] [ 86%] 2023-07-07T20:05:40.7011448Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7011843Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7012176Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7012278Z PASSED [0.0351s] [ 86%] 2023-07-07T20:05:40.7012878Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7013221Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7013558Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7013638Z PASSED [0.0348s] [ 86%] 2023-07-07T20:05:40.7014001Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0263s] [ 86%] 2023-07-07T20:05:40.7014492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7014825Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7015160Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7015503Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7015839Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7016170Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7016502Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7016888Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7017223Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7017582Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7017917Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7018253Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7018584Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7018968Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7019048Z PASSED [0.1429s] [ 86%] 2023-07-07T20:05:40.7019332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_roi_pool PASSED [0.0065s] [ 86%] 2023-07-07T20:05:40.7019579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_round PASSED [0.0041s] [ 86%] 2023-07-07T20:05:40.7019823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_rsqrt PASSED [0.0051s] [ 86%] 2023-07-07T20:05:40.7020095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sage_conv SKIPPED [0.0001s] (torch_geometric not installed.) [ 86%] 2023-07-07T20:05:40.7020350Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scalar_tensor PASSED [0.0116s] [ 86%] 2023-07-07T20:05:40.7020599Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_add PASSED [0.0129s] [ 86%] 2023-07-07T20:05:40.7020901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 PASSED [0.0066s] [ 86%] 2023-07-07T20:05:40.7021166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_index_not_unique PASSED [0.0129s] [ 86%] 2023-07-07T20:05:40.7021414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce PASSED [0.0327s] [ 87%] 2023-07-07T20:05:40.7021683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_scatter_reduce_self_rank_zero PASSED [0.0333s] [ 87%] 2023-07-07T20:05:40.7021962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_bool PASSED [0.0062s] [ 87%] 2023-07-07T20:05:40.7022239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_ PASSED [0.0086s] [ 87%] 2023-07-07T20:05:40.7022488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0078s] [ 87%] 2023-07-07T20:05:40.7022733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_attr_4 PASSED [0.0076s] [ 87%] 2023-07-07T20:05:40.7023010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_set_attr_in_loop PASSED [0.0074s] [ 87%] 2023-07-07T20:05:40.7023252Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_silu PASSED [0.0051s] [ 87%] 2023-07-07T20:05:40.7023491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic PASSED [0.0534s] [ 87%] 2023-07-07T20:05:40.7023746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_script PASSED [0.0033s] [ 87%] 2023-07-07T20:05:40.7024008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_dynamic_shape_script PASSED [0.0194s] [ 87%] 2023-07-07T20:05:40.7024258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_neg_large PASSED [0.0128s] [ 87%] 2023-07-07T20:05:40.7024544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_slice_with_1d_input_index PASSED [0.0453s] [ 87%] 2023-07-07T20:05:40.7024787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_softmax PASSED [0.0560s] [ 87%] 2023-07-07T20:05:40.7025033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_softplus PASSED [0.0176s] [ 87%] 2023-07-07T20:05:40.7025286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sort_ascending PASSED [0.0148s] [ 87%] 2023-07-07T20:05:40.7025544Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_split_size_with_slice PASSED [0.0242s] [ 87%] 2023-07-07T20:05:40.7025804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_split_tensor_scalar PASSED [0.0063s] [ 87%] 2023-07-07T20:05:40.7026059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_all_dims PASSED [0.0051s] [ 87%] 2023-07-07T20:05:40.7026313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic PASSED [0.0096s] [ 87%] 2023-07-07T20:05:40.7026552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_dynamic_dim PASSED [0.0055s] [ 87%] 2023-07-07T20:05:40.7026802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0095s] [ 87%] 2023-07-07T20:05:40.7027059Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0381s] [ 87%] 2023-07-07T20:05:40.7027346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0093s] [ 87%] 2023-07-07T20:05:40.7027606Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std PASSED [0.0154s] [ 87%] 2023-07-07T20:05:40.7027855Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_along_dims PASSED [0.0176s] [ 87%] 2023-07-07T20:05:40.7028096Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_mean PASSED [0.0147s] [ 87%] 2023-07-07T20:05:40.7028382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0114s] [ 87%] 2023-07-07T20:05:40.7028639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_std_mean_keepdim PASSED [0.0184s] [ 87%] 2023-07-07T20:05:40.7028930Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_normalize SKIPPED [0.0009s] (Unsupported opset_version: 16 < 17) [ 87%] 2023-07-07T20:05:40.7029226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_one_dimension SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 87%] 2023-07-07T20:05:40.7029532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_window_int_different_size SKIPPED [0.0007s] (Unsupported opset_version: 16 < 17) [ 87%] 2023-07-07T20:05:40.7029865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len SKIPPED [0.0007s] (Unsupported opset_version: 16 < 17) [ 87%] 2023-07-07T20:05:40.7030163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_stft_wrong_input_size SKIPPED [0.0009s] (Unsupported opset_version: 16 < 17) [ 87%] 2023-07-07T20:05:40.7030388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_sum PASSED [0.0047s] [ 87%] 2023-07-07T20:05:40.7030651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference PASSED [0.0464s] [ 87%] 2023-07-07T20:05:40.7030927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0311s] [ 87%] 2023-07-07T20:05:40.7031198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_box_if PASSED [0.0107s] [ 87%] 2023-07-07T20:05:40.7031471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice_2 PASSED [0.0121s] [ 87%] 2023-07-07T20:05:40.7031736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time PASSED [0.0501s] [ 87%] 2023-07-07T20:05:40.7031972Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_take PASSED [0.0069s] [ 87%] 2023-07-07T20:05:40.7032218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tanh_gelu PASSED [0.0101s] [ 87%] 2023-07-07T20:05:40.7032499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor PASSED [0.0158s] [ 87%] 2023-07-07T20:05:40.7032812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor_index_advanced_indexing_consecutive PASSED [0.0197s] [ 87%] 2023-07-07T20:05:40.7033078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor_like_factories_script PASSED [0.0054s] [ 87%] 2023-07-07T20:05:40.7033332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensor_split_scalar PASSED [0.0132s] [ 87%] 2023-07-07T20:05:40.7033610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tensordot_dim_list PASSED [0.0197s] [ 87%] 2023-07-07T20:05:40.7033842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_topk PASSED [0.0071s] [ 87%] 2023-07-07T20:05:40.7034088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0073s] [ 87%] 2023-07-07T20:05:40.7034335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0033s] [ 87%] 2023-07-07T20:05:40.7034586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_transform_images PASSED [0.1599s] [ 87%] 2023-07-07T20:05:40.7034927Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_input PASSED [0.0049s] [ 87%] 2023-07-07T20:05:40.7035205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_output PASSED [0.0055s] [ 87%] 2023-07-07T20:05:40.7035468Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_primitive_input PASSED [0.0052s] [ 87%] 2023-07-07T20:05:40.7035732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_tuple_with_none_outputs PASSED [0.0037s] [ 87%] 2023-07-07T20:05:40.7035975Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_type_as PASSED [0.0130s] [ 87%] 2023-07-07T20:05:40.7036227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unfold_infer_shape PASSED [0.0058s] [ 87%] 2023-07-07T20:05:40.7036493Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_intList PASSED [0.0052s] [ 87%] 2023-07-07T20:05:40.7036761Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList PASSED [0.0050s] [ 87%] 2023-07-07T20:05:40.7037019Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_uninitialized_tensorList_shape PASSED [0.0051s] [ 87%] 2023-07-07T20:05:40.7037267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unique_along_dim PASSED [0.0064s] [ 87%] 2023-07-07T20:05:40.7037513Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unsafe_chunk PASSED [0.0065s] [ 87%] 2023-07-07T20:05:40.7037775Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_unsqueeze_dynamic_dim PASSED [0.0044s] [ 87%] 2023-07-07T20:05:40.7038042Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var PASSED [0.1108s] [ 87%] 2023-07-07T20:05:40.7038317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var_keepdim PASSED [0.0182s] [ 87%] 2023-07-07T20:05:40.7038562Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var_mean PASSED [0.0145s] [ 87%] 2023-07-07T20:05:40.7038811Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_var_mean_keepdim PASSED [0.0180s] [ 87%] 2023-07-07T20:05:40.7039076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_view PASSED [0.0052s] [ 87%] 2023-07-07T20:05:40.7039335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim PASSED [0.0132s] [ 87%] 2023-07-07T20:05:40.7039577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_where PASSED [0.0049s] [ 87%] 2023-07-07T20:05:40.7039828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_where_condition PASSED [0.0277s] [ 87%] 2023-07-07T20:05:40.7040071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor PASSED [0.0051s] [ 87%] 2023-07-07T20:05:40.7040335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM PASSED [0.1084s] [ 87%] 2023-07-07T20:05:40.7040631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input PASSED [0.0090s] [ 87%] 2023-07-07T20:05:40.7040877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0118s] [ 87%] 2023-07-07T20:05:40.7041118Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0088s] [ 87%] 2023-07-07T20:05:40.7041354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_all PASSED [0.0230s] [ 87%] 2023-07-07T20:05:40.7041617Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_none PASSED [0.0315s] [ 87%] 2023-07-07T20:05:40.7041880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_tensor PASSED [0.0139s] [ 87%] 2023-07-07T20:05:40.7042120Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_aminmax PASSED [0.0100s] [ 87%] 2023-07-07T20:05:40.7042369Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor PASSED [0.0102s] [ 87%] 2023-07-07T20:05:40.7042622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0301s] [ 87%] 2023-07-07T20:05:40.7042875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_end_notype PASSED [0.0192s] [ 87%] 2023-07-07T20:05:40.7043136Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0131s] [ 87%] 2023-07-07T20:05:40.7043404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out PASSED [0.0194s] [ 87%] 2023-07-07T20:05:40.7043681Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax PASSED [0.0178s] [ 87%] 2023-07-07T20:05:40.7043952Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index PASSED [0.0338s] [ 87%] 2023-07-07T20:05:40.7044267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision SKIPPED [0.0009s] (Unsupported opset_version: 16 > 13) [ 87%] 2023-07-07T20:05:40.7044708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0035s] [ 87%] 2023-07-07T20:05:40.7044978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0180s] [ 87%] 2023-07-07T20:05:40.7045224Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_as_strided PASSED [0.0314s] [ 87%] 2023-07-07T20:05:40.7045815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_list_input_module_class_ PASSED [0.0115s] [ 87%] 2023-07-07T20:05:40.7046415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0055s] [ 87%] 2023-07-07T20:05:40.7046980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0042s] [ 87%] 2023-07-07T20:05:40.7047555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7047710Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7047860Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7048009Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7048020Z 2023-07-07T20:05:40.7048096Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7048246Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7048392Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7048540Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7048546Z 2023-07-07T20:05:40.7048695Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7048840Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7048985Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7049136Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7049142Z 2023-07-07T20:05:40.7049146Z 2023-07-07T20:05:40.7049278Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7049423Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7049569Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7049721Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7049763Z 2023-07-07T20:05:40.7049910Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7050055Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7050200Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7050380Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7050387Z 2023-07-07T20:05:40.7050460Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7050608Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7050750Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7050944Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0041s] [ 87%] 2023-07-07T20:05:40.7051546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0048s] [ 87%] 2023-07-07T20:05:40.7052171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.7052378Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.7052504Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.7052512Z 2023-07-07T20:05:40.7052713Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.7052913Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.7053182Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) PASSED [0.0041s] [ 87%] 2023-07-07T20:05:40.7054086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7054313Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7054534Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7054759Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7054767Z 2023-07-07T20:05:40.7054898Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7055114Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7055337Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7055544Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7055570Z 2023-07-07T20:05:40.7055776Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7055995Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7056220Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7056449Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7056457Z 2023-07-07T20:05:40.7056464Z 2023-07-07T20:05:40.7056679Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7056900Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7057121Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7057343Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7057351Z 2023-07-07T20:05:40.7057551Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7057771Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7057992Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7058212Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7058220Z 2023-07-07T20:05:40.7058346Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7058597Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7058811Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7059098Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0043s] [ 87%] 2023-07-07T20:05:40.7059979Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7060198Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7060417Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7060670Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7060678Z 2023-07-07T20:05:40.7060808Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7061026Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7061245Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7061465Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7061473Z 2023-07-07T20:05:40.7061687Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7061894Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7062115Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7062342Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7062350Z 2023-07-07T20:05:40.7062357Z 2023-07-07T20:05:40.7062570Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7062792Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7063007Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7063232Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7063239Z 2023-07-07T20:05:40.7063486Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7063692Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7063911Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7064134Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7064142Z 2023-07-07T20:05:40.7064271Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7064488Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7064704Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7064993Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0039s] [ 87%] 2023-07-07T20:05:40.7065379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_auto_grad PASSED [0.0083s] [ 87%] 2023-07-07T20:05:40.7065743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool PASSED [0.0077s] [ 87%] 2023-07-07T20:05:40.7066133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_1d_ceil PASSED [0.0073s] [ 87%] 2023-07-07T20:05:40.7066590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0128s] [ 87%] 2023-07-07T20:05:40.7067043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0113s] [ 87%] 2023-07-07T20:05:40.7067492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0134s] [ 87%] 2023-07-07T20:05:40.7067925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_avgpool_default_stride PASSED [0.0098s] [ 87%] 2023-07-07T20:05:40.7068352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batched_nms PASSED [0.0210s] [ 87%] 2023-07-07T20:05:40.7068732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d PASSED [0.0133s] [ 87%] 2023-07-07T20:05:40.7069143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0236s] [ 87%] 2023-07-07T20:05:40.7069573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d PASSED [0.0137s] [ 87%] 2023-07-07T20:05:40.7069970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0146s] [ 87%] 2023-07-07T20:05:40.7070383Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_norunningstats PASSED [0.0212s] [ 87%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis PASSED [0.0764s] [ 87%] 2023-07-07T20:05:40.7082381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_copy_ellipsis_script PASSED [0.0457s] [ 87%] 2023-07-07T20:05:40.7082632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_copy_tracing PASSED [0.0273s] [ 87%] 2023-07-07T20:05:40.7082925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_crossentropyloss PASSED [0.2927s] [ 87%] 2023-07-07T20:05:40.7083177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_cste_script PASSED [0.0052s] [ 87%] 2023-07-07T20:05:40.7083427Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dequantize PASSED [0.0099s] [ 87%] 2023-07-07T20:05:40.7083673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_diagonal PASSED [0.1426s] [ 87%] 2023-07-07T20:05:40.7083916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dict PASSED [0.0054s] [ 87%] 2023-07-07T20:05:40.7084159Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dict_str PASSED [0.0057s] [ 87%] 2023-07-07T20:05:40.7084604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dim PASSED [0.0048s] [ 87%] 2023-07-07T20:05:40.7084863Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_normal PASSED [0.0559s] [ 87%] 2023-07-07T20:05:40.7085114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_normal_correctness PASSED [0.0219s] [ 87%] 2023-07-07T20:05:40.7085364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform PASSED [0.0435s] [ 87%] 2023-07-07T20:05:40.7085629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dist_uniform_correctness PASSED [0.0158s] [ 87%] 2023-07-07T20:05:40.7085871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_div PASSED [0.0117s] [ 87%] 2023-07-07T20:05:40.7086128Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_div_promotion_trace PASSED [0.0092s] [ 87%] 2023-07-07T20:05:40.7086364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dot PASSED [0.0080s] [ 87%] 2023-07-07T20:05:40.7086610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dropout PASSED [0.0052s] [ 87%] 2023-07-07T20:05:40.7086865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dynamic_arange_out PASSED [0.0074s] [ 87%] 2023-07-07T20:05:40.7087119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dynamic_chunk PASSED [0.1004s] [ 87%] 2023-07-07T20:05:40.7087377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_dynamic_expand_as PASSED [0.0845s] [ 87%] 2023-07-07T20:05:40.7087728Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_embedding_bag_1d_per_sample_weights PASSED [0.0212s] [ 87%] 2023-07-07T20:05:40.7087968Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_eq PASSED [0.0148s] [ 87%] 2023-07-07T20:05:40.7088198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_expand PASSED [0.0267s] [ 87%] 2023-07-07T20:05:40.7088471Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_eye PASSED [0.0259s] [ 87%] 2023-07-07T20:05:40.7088736Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fmod PASSED [0.0052s] [ 87%] 2023-07-07T20:05:40.7091455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fmod_scalar PASSED [0.0058s] [ 87%] 2023-07-07T20:05:40.7091707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_frobenius_norm PASSED [0.0087s] [ 87%] 2023-07-07T20:05:40.7091940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_full_like PASSED [0.0058s] [ 87%] 2023-07-07T20:05:40.7092188Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_full_like_value PASSED [0.0081s] [ 87%] 2023-07-07T20:05:40.7092435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fuse_addmm PASSED [0.0068s] [ 87%] 2023-07-07T20:05:40.7092684Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_bn3d PASSED [0.0256s] [ 87%] 2023-07-07T20:05:40.7092965Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_fuse_conv_in_block PASSED [0.0099s] [ 87%] 2023-07-07T20:05:40.7093232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gather PASSED [0.0058s] [ 87%] 2023-07-07T20:05:40.7093474Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_ge PASSED [0.0144s] [ 87%] 2023-07-07T20:05:40.7093745Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_ge_scalar PASSED [0.0091s] [ 87%] 2023-07-07T20:05:40.7093988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_getitem PASSED [0.0047s] [ 87%] 2023-07-07T20:05:40.7094228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_glu PASSED [0.0061s] [ 87%] 2023-07-07T20:05:40.7094526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bicubic_padding_mode_border_False PASSED [0.0327s] [ 87%] 2023-07-07T20:05:40.7094833Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_False PASSED [0.0324s] [ 87%] 2023-07-07T20:05:40.7095133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_reflection_True PASSED [0.0321s] [ 87%] 2023-07-07T20:05:40.7095438Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False PASSED [0.0321s] [ 87%] 2023-07-07T20:05:40.7095739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_border_False PASSED [0.0325s] [ 87%] 2023-07-07T20:05:40.7095997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_groupnorm_noaffine PASSED [0.0754s] [ 87%] 2023-07-07T20:05:40.7096256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gru_constant_folding PASSED [0.1148s] [ 87%] 2023-07-07T20:05:40.7096495Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gt PASSED [0.0153s] [ 87%] 2023-07-07T20:05:40.7096749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive PASSED [0.0046s] [ 87%] 2023-07-07T20:05:40.7096993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_gt_scalar PASSED [0.0091s] [ 87%] 2023-07-07T20:05:40.7097255Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_hann_window_periodic PASSED [0.0136s] [ 87%] 2023-07-07T20:05:40.7097506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_hardsigmoid PASSED [0.0109s] [ 87%] 2023-07-07T20:05:40.7097764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_hardswish_script PASSED [0.0034s] [ 88%] 2023-07-07T20:05:40.7098008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_if_fold PASSED [0.0490s] [ 88%] 2023-07-07T20:05:40.7098286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_if_list PASSED [0.0056s] [ 88%] 2023-07-07T20:05:40.7098554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_if_transpose PASSED [0.0051s] [ 88%] 2023-07-07T20:05:40.7098798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_im2col PASSED [0.0888s] [ 88%] 2023-07-07T20:05:40.7099051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_2d_1dimslice PASSED [0.0096s] [ 88%] 2023-07-07T20:05:40.7099346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_dim_size_differ PASSED [0.0107s] [ 88%] 2023-07-07T20:05:40.7099610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0129s] [ 88%] 2023-07-07T20:05:40.7099862Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_if PASSED [0.0038s] [ 88%] 2023-07-07T20:05:40.7100113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_in_loop PASSED [0.0259s] [ 88%] 2023-07-07T20:05:40.7100367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal PASSED [0.0296s] [ 88%] 2023-07-07T20:05:40.7100640Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_mask PASSED [0.0130s] [ 88%] 2023-07-07T20:05:40.7100889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put PASSED [0.0092s] [ 88%] 2023-07-07T20:05:40.7101140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_if PASSED [0.1550s] [ 88%] 2023-07-07T20:05:40.7101387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2 PASSED [0.2762s] [ 88%] 2023-07-07T20:05:40.7101633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_5 PASSED [0.0982s] [ 88%] 2023-07-07T20:05:40.7101884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_inplace_ops PASSED [0.1211s] [ 88%] 2023-07-07T20:05:40.7102147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_singular PASSED [0.0243s] [ 88%] 2023-07-07T20:05:40.7102406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_put_slice_index PASSED [0.2964s] [ 88%] 2023-07-07T20:05:40.7102679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_index_select_constant_scaler_index PASSED [0.0068s] [ 88%] 2023-07-07T20:05:40.7102937Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic PASSED [0.0034s] [ 88%] 2023-07-07T20:05:40.7103203Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_arithmetic_half PASSED [0.0099s] [ 88%] 2023-07-07T20:05:40.7103497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_attr_with_loop PASSED [0.0041s] [ 88%] 2023-07-07T20:05:40.7103776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop PASSED [0.0054s] [ 88%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm3d_norunningstats PASSED [0.1962s] [ 88%] 2023-07-07T20:05:40.7105400Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_eval_mode_train_layer PASSED [0.2470s] [ 88%] 2023-07-07T20:05:40.7105677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer PASSED [0.1229s] [ 88%] 2023-07-07T20:05:40.7105941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_downsample PASSED [0.2024s] [ 88%] 2023-07-07T20:05:40.7106247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution PASSED [0.0179s] [ 88%] 2023-07-07T20:05:40.7106511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel PASSED [0.0582s] [ 88%] 2023-07-07T20:05:40.7106772Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample PASSED [0.2060s] [ 88%] 2023-07-07T20:05:40.7107079Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0010s] (Unsupported opset_version: 16 > 8) [ 88%] 2023-07-07T20:05:40.7107327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_isinf 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2023-07-07T20:05:40.7115348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_loop_dynamic PASSED [0.0033s] [ 88%] 2023-07-07T20:05:40.7115602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_loop_with_list PASSED [0.0051s] [ 88%] 2023-07-07T20:05:40.7115851Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple PASSED [0.0100s] [ 88%] 2023-07-07T20:05:40.7116103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0044s] [ 88%] 2023-07-07T20:05:40.7116344Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_3 PASSED [0.0110s] [ 88%] 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2023-07-07T20:05:40.7118389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0121s] [ 88%] 2023-07-07T20:05:40.7118773Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_masked_scatter PASSED [0.0134s] [ 88%] 2023-07-07T20:05:40.7119130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_matmul PASSED [0.0081s] [ 88%] 2023-07-07T20:05:40.7119502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0147s] [ 88%] 2023-07-07T20:05:40.7119872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_min_int PASSED [0.0065s] [ 88%] 2023-07-07T20:05:40.7120251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_minimum_dtypes PASSED [0.0153s] [ 88%] 2023-07-07T20:05:40.7120664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_none PASSED [0.0225s] [ 88%] 2023-07-07T20:05:40.7121106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor PASSED [0.0080s] [ 88%] 2023-07-07T20:05:40.7121618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 88%] 2023-07-07T20:05:40.7122077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_mod_with_low_precision SKIPPED [0.0008s] (Unsupported opset_version: 16 > 13) [ 88%] 2023-07-07T20:05:40.7122483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_moveaxis PASSED [0.0128s] [ 88%] 2023-07-07T20:05:40.7122858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_movedim PASSED [0.0173s] [ 88%] 2023-07-07T20:05:40.7123247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_multiple_conv_bn PASSED [0.1096s] [ 88%] 2023-07-07T20:05:40.7123669Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_multiple_dynamic_repeat_interleave PASSED [0.0471s] [ 88%] 2023-07-07T20:05:40.7124040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nan_to_num PASSED [0.0411s] [ 88%] 2023-07-07T20:05:40.7124521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0096s] [ 88%] 2023-07-07T20:05:40.7124939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_new_empty PASSED [0.0250s] [ 88%] 2023-07-07T20:05:40.7125316Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_new_full PASSED [0.0238s] [ 88%] 2023-07-07T20:05:40.7125686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_new_zeros PASSED [0.0229s] [ 88%] 2023-07-07T20:05:40.7126083Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_weights PASSED [0.0162s] [ 88%] 2023-07-07T20:05:40.7126461Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum PASSED [0.0156s] [ 88%] 2023-07-07T20:05:40.7126872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness PASSED [0.0137s] [ 88%] 2023-07-07T20:05:40.7127247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_nonzero PASSED [0.0108s] [ 88%] 2023-07-07T20:05:40.7127634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0064s] [ 88%] 2023-07-07T20:05:40.7128012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_numel_empty PASSED [0.0061s] [ 88%] 2023-07-07T20:05:40.7128375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_one_hot PASSED [0.0133s] [ 88%] 2023-07-07T20:05:40.7128746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_ones_bool PASSED [0.0111s] [ 88%] 2023-07-07T20:05:40.7129218Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0 SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 88%] 2023-07-07T20:05:40.7129757Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 88%] 2023-07-07T20:05:40.7130232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 88%] 2023-07-07T20:05:40.7130666Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_outer PASSED [0.0179s] [ 88%] 2023-07-07T20:05:40.7131049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pad_circular PASSED [0.0275s] [ 88%] 2023-07-07T20:05:40.7131420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0224s] [ 88%] 2023-07-07T20:05:40.7131830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list PASSED [0.0222s] [ 88%] 2023-07-07T20:05:40.7132194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_pow PASSED [0.0333s] [ 88%] 2023-07-07T20:05:40.7132571Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0049s] [ 88%] 2023-07-07T20:05:40.7132940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0253s] [ 88%] 2023-07-07T20:05:40.7133368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0053s] [ 88%] 2023-07-07T20:05:40.7133779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_floating PASSED [0.0055s] [ 88%] 2023-07-07T20:05:40.7134201Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0126s] [ 88%] 2023-07-07T20:05:40.7134962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_avg_pool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7135487Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7135602Z PASSED [0.0214s] [ 88%] 2023-07-07T20:05:40.7135967Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d PASSED [0.0539s] [ 88%] 2023-07-07T20:05:40.7136331Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d_relu PASSED [0.0591s] [ 88%] 2023-07-07T20:05:40.7136733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_linear_per_channel PASSED [0.0462s] [ 88%] 2023-07-07T20:05:40.7137268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_maxpool2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7137690Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7137771Z PASSED [0.0197s] [ 88%] 2023-07-07T20:05:40.7138285Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_qat_upsample_nearest2d [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7138662Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7138741Z PASSED [0.0193s] [ 88%] 2023-07-07T20:05:40.7139002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_arithmetic PASSED [0.0204s] [ 88%] 2023-07-07T20:05:40.7139286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_zero_point_and_scale PASSED [0.0155s] [ 88%] 2023-07-07T20:05:40.7139540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d PASSED [0.0388s] [ 88%] 2023-07-07T20:05:40.7139828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0394s] [ 88%] 2023-07-07T20:05:40.7140086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d PASSED [0.0416s] [ 88%] 2023-07-07T20:05:40.7140332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0418s] [ 88%] 2023-07-07T20:05:40.7140583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d PASSED [0.0414s] [ 88%] 2023-07-07T20:05:40.7140843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0412s] [ 88%] 2023-07-07T20:05:40.7141101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_linear PASSED [0.0308s] [ 88%] 2023-07-07T20:05:40.7141486Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 88%] 2023-07-07T20:05:40.7141758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided PASSED [0.0154s] [ 88%] 2023-07-07T20:05:40.7142027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_group_norm PASSED [0.0236s] [ 88%] 2023-07-07T20:05:40.7142299Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardtanh PASSED [0.0252s] [ 88%] 2023-07-07T20:05:40.7142607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_transpose PASSED [0.0123s] [ 88%] 2023-07-07T20:05:40.7142886Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rand_dynamic_size PASSED [0.0117s] [ 88%] 2023-07-07T20:05:40.7143131Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_randn PASSED [0.0085s] [ 88%] 2023-07-07T20:05:40.7143379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_randn_dtype PASSED [0.0104s] [ 88%] 2023-07-07T20:05:40.7143660Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_randn_like_dtype PASSED [0.0097s] [ 88%] 2023-07-07T20:05:40.7143903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0080s] [ 88%] 2023-07-07T20:05:40.7144155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0100s] [ 88%] 2023-07-07T20:05:40.7144401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reduced_prod PASSED [0.0278s] [ 88%] 2023-07-07T20:05:40.7144655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reflection_pad PASSED [0.0236s] [ 88%] 2023-07-07T20:05:40.7144921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_relu6 PASSED [0.0070s] [ 88%] 2023-07-07T20:05:40.7145171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_relu_int PASSED [0.0043s] [ 88%] 2023-07-07T20:05:40.7145420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_remainder PASSED [0.0221s] [ 88%] 2023-07-07T20:05:40.7145672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_remainder_scalar PASSED [0.0106s] [ 88%] 2023-07-07T20:05:40.7145915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_repeat PASSED [0.0114s] [ 88%] 2023-07-07T20:05:40.7146172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave PASSED [0.0589s] [ 88%] 2023-07-07T20:05:40.7146435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_reshape_different_rank PASSED [0.0063s] [ 88%] 2023-07-07T20:05:40.7146683Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_resize_images PASSED [0.0641s] [ 88%] 2023-07-07T20:05:40.7147296Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7147648Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7148040Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7148108Z PASSED [0.0573s] [ 88%] 2023-07-07T20:05:40.7148715Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7149087Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7149434Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7149771Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7149851Z PASSED [0.0568s] [ 88%] 2023-07-07T20:05:40.7150237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0444s] [ 88%] 2023-07-07T20:05:40.7150609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0474s] [ 88%] 2023-07-07T20:05:40.7151229Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7151572Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7151919Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7151998Z PASSED [0.0513s] [ 88%] 2023-07-07T20:05:40.7152609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7152948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7153334Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7153672Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7153775Z PASSED [0.0513s] [ 88%] 2023-07-07T20:05:40.7154390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7154807Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7155139Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7155508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7155588Z PASSED [0.0511s] [ 88%] 2023-07-07T20:05:40.7155955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0380s] [ 88%] 2023-07-07T20:05:40.7156306Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0380s] [ 88%] 2023-07-07T20:05:40.7156932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7157275Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7157599Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7157678Z PASSED [0.0449s] [ 88%] 2023-07-07T20:05:40.7158276Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7158674Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7159011Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7159388Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7159467Z PASSED [0.0450s] [ 88%] 2023-07-07T20:05:40.7160068Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7160409Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7160773Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7161116Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7161196Z PASSED [0.0453s] [ 88%] 2023-07-07T20:05:40.7161803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7162146Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7162487Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7162825Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7162904Z PASSED [0.0400s] [ 88%] 2023-07-07T20:05:40.7163265Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0277s] [ 88%] 2023-07-07T20:05:40.7163645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0277s] [ 88%] 2023-07-07T20:05:40.7164280Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7164803Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7165143Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7165222Z PASSED [0.0354s] [ 88%] 2023-07-07T20:05:40.7165818Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7166219Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7166547Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7166624Z PASSED [0.0306s] [ 88%] 2023-07-07T20:05:40.7166988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0186s] [ 88%] 2023-07-07T20:05:40.7167589Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7167933Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7168270Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7168610Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7168723Z PASSED [0.0324s] [ 88%] 2023-07-07T20:05:40.7169361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7169705Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7170071Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7170411Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7170490Z PASSED [0.0323s] [ 88%] 2023-07-07T20:05:40.7170850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0212s] [ 88%] 2023-07-07T20:05:40.7171482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7171825Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7172161Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7172502Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7172581Z PASSED [0.0277s] [ 88%] 2023-07-07T20:05:40.7172941Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0158s] [ 88%] 2023-07-07T20:05:40.7173300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0445s] [ 88%] 2023-07-07T20:05:40.7173913Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7174329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7174662Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7174752Z PASSED [0.0517s] [ 88%] 2023-07-07T20:05:40.7175359Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7175700Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7176031Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7176397Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7176479Z PASSED [0.0590s] [ 88%] 2023-07-07T20:05:40.7176848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0388s] [ 88%] 2023-07-07T20:05:40.7177456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7177797Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7178135Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7178213Z PASSED [0.0449s] [ 88%] 2023-07-07T20:05:40.7178812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7179194Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7179588Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7179926Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7180030Z PASSED [0.0444s] [ 88%] 2023-07-07T20:05:40.7180396Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0403s] [ 88%] 2023-07-07T20:05:40.7181158Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7181673Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7182212Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7182330Z PASSED [0.0405s] [ 88%] 2023-07-07T20:05:40.7183248Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7183758Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7184264Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7184366Z PASSED [0.0397s] [ 88%] 2023-07-07T20:05:40.7184910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0281s] [ 88%] 2023-07-07T20:05:40.7185841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7186395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7186935Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7187051Z PASSED [0.0359s] [ 88%] 2023-07-07T20:05:40.7187985Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7188533Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7189040Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7189543Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7189661Z PASSED [0.0359s] [ 89%] 2023-07-07T20:05:40.7190237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0246s] [ 89%] 2023-07-07T20:05:40.7191174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7191687Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7192203Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7192316Z PASSED [0.0307s] [ 89%] 2023-07-07T20:05:40.7193250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7193769Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7194311Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7194453Z PASSED [0.0304s] [ 89%] 2023-07-07T20:05:40.7195462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7196011Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7196520Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7197028Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7197130Z PASSED [0.0308s] [ 89%] 2023-07-07T20:05:40.7197714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0188s] [ 89%] 2023-07-07T20:05:40.7198637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7199148Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7199660Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7199775Z PASSED [0.0320s] [ 89%] 2023-07-07T20:05:40.7200704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7201052Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7201396Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7201513Z PASSED [0.0318s] [ 89%] 2023-07-07T20:05:40.7202145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7202488Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7202865Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7203204Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7203279Z PASSED [0.0324s] [ 89%] 2023-07-07T20:05:40.7203635Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0207s] [ 89%] 2023-07-07T20:05:40.7204267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7204747Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7205088Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7205167Z PASSED [0.0267s] [ 89%] 2023-07-07T20:05:40.7205767Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7206112Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7206449Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7206786Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7206905Z PASSED [0.0269s] [ 89%] 2023-07-07T20:05:40.7207541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7207909Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7208252Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7208589Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7208667Z PASSED [0.0271s] [ 89%] 2023-07-07T20:05:40.7209020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0155s] [ 89%] 2023-07-07T20:05:40.7209406Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0153s] [ 89%] 2023-07-07T20:05:40.7210028Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7210370Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7210710Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7210790Z PASSED [0.1162s] [ 89%] 2023-07-07T20:05:40.7211393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7211734Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7212074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7212465Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7212544Z PASSED [0.1170s] [ 89%] 2023-07-07T20:05:40.7212903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1037s] [ 89%] 2023-07-07T20:05:40.7213537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7213883Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7214222Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7214301Z PASSED [0.1117s] [ 89%] 2023-07-07T20:05:40.7214943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7215281Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7215615Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7215682Z PASSED [0.1115s] [ 89%] 2023-07-07T20:05:40.7216300Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7216633Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7216973Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7217332Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7217410Z PASSED [0.1110s] [ 89%] 2023-07-07T20:05:40.7217802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0976s] [ 89%] 2023-07-07T20:05:40.7218171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0978s] [ 89%] 2023-07-07T20:05:40.7218799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7219140Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7219474Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7219552Z PASSED [0.0735s] [ 89%] 2023-07-07T20:05:40.7220177Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7220519Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7220857Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7221193Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7221270Z PASSED [0.0738s] [ 89%] 2023-07-07T20:05:40.7221622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0613s] [ 89%] 2023-07-07T20:05:40.7222221Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7222624Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7222985Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7223318Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7223423Z PASSED [0.0692s] [ 89%] 2023-07-07T20:05:40.7224031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7224369Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7224690Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7224769Z PASSED [0.0550s] [ 89%] 2023-07-07T20:05:40.7225407Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7225742Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7226076Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7226155Z PASSED [0.0547s] [ 89%] 2023-07-07T20:05:40.7226764Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7227101Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7227442Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7227828Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7227908Z PASSED [0.0555s] [ 89%] 2023-07-07T20:05:40.7228518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7228885Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7229224Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7229301Z PASSED [0.0497s] [ 89%] 2023-07-07T20:05:40.7229909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7230275Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7230614Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7230690Z PASSED [0.0496s] [ 89%] 2023-07-07T20:05:40.7231052Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0376s] [ 89%] 2023-07-07T20:05:40.7231653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7231992Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7232329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7232395Z PASSED [0.0416s] [ 89%] 2023-07-07T20:05:40.7233018Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7233382Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7233746Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7233825Z PASSED [0.0364s] [ 89%] 2023-07-07T20:05:40.7234429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7234857Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7235235Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7235316Z PASSED [0.0361s] [ 89%] 2023-07-07T20:05:40.7235672Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0246s] [ 89%] 2023-07-07T20:05:40.7236024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0246s] [ 89%] 2023-07-07T20:05:40.7236636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7236979Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7237315Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7237394Z PASSED [0.1202s] [ 89%] 2023-07-07T20:05:40.7238002Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7238390Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7238724Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7239106Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7239185Z PASSED [0.1207s] [ 89%] 2023-07-07T20:05:40.7239795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7240133Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7240495Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7240579Z PASSED [0.1168s] [ 89%] 2023-07-07T20:05:40.7241195Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7241530Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7241855Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7241934Z PASSED [0.1161s] [ 89%] 2023-07-07T20:05:40.7242295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1022s] [ 89%] 2023-07-07T20:05:40.7242897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7243267Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7243629Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7243965Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7244069Z PASSED [0.0776s] [ 89%] 2023-07-07T20:05:40.7244803Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7245147Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7245482Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7245864Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7245945Z PASSED [0.0770s] [ 89%] 2023-07-07T20:05:40.7246295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0907s] [ 89%] 2023-07-07T20:05:40.7246649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0738s] [ 89%] 2023-07-07T20:05:40.7247254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7247599Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7247935Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7248016Z PASSED [0.0732s] [ 89%] 2023-07-07T20:05:40.7248792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7249386Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7249899Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7250050Z PASSED [0.0730s] [ 89%] 2023-07-07T20:05:40.7250961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7251477Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7251989Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7252552Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7252670Z PASSED [0.0731s] [ 89%] 2023-07-07T20:05:40.7253210Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0617s] [ 89%] 2023-07-07T20:05:40.7253749Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0615s] [ 89%] 2023-07-07T20:05:40.7254676Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7255193Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7255701Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7255816Z PASSED [0.0545s] [ 89%] 2023-07-07T20:05:40.7256774Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7257316Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7257819Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7257959Z PASSED [0.0536s] [ 89%] 2023-07-07T20:05:40.7258509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0420s] [ 89%] 2023-07-07T20:05:40.7259435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7259980Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7260493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7260609Z PASSED [0.0482s] [ 89%] 2023-07-07T20:05:40.7261536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7262052Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7262562Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7263074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7263173Z PASSED [0.0487s] [ 89%] 2023-07-07T20:05:40.7263737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0385s] [ 89%] 2023-07-07T20:05:40.7264722Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7265233Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7265770Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7265889Z PASSED [0.0406s] [ 89%] 2023-07-07T20:05:40.7266796Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7267304Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7267872Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7267990Z PASSED [0.0404s] [ 89%] 2023-07-07T20:05:40.7268899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7269416Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7269903Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7270248Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7270326Z PASSED [0.0407s] [ 89%] 2023-07-07T20:05:40.7270925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7271272Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7271680Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7272011Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7272118Z PASSED [0.0412s] [ 89%] 2023-07-07T20:05:40.7272719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7273060Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7273395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7273475Z PASSED [0.0351s] [ 89%] 2023-07-07T20:05:40.7274093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7274450Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7274855Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7274936Z PASSED [0.0350s] [ 89%] 2023-07-07T20:05:40.7275540Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7275878Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7276216Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7276583Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7276661Z PASSED [0.0350s] [ 89%] 2023-07-07T20:05:40.7277045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0266s] [ 89%] 2023-07-07T20:05:40.7277535Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7277901Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7278238Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7278569Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7278932Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7279269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7279603Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7279934Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7280273Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7280604Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7280935Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7281269Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7281608Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7281995Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7282062Z PASSED [0.1775s] [ 89%] 2023-07-07T20:05:40.7282313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_roi_align PASSED [0.0108s] [ 89%] 2023-07-07T20:05:40.7282563Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_roi_pool PASSED [0.0060s] [ 89%] 2023-07-07T20:05:40.7282840Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_roll PASSED [0.0424s] [ 89%] 2023-07-07T20:05:40.7283130Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 89%] 2023-07-07T20:05:40.7283380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scalar_type PASSED [0.0442s] [ 89%] 2023-07-07T20:05:40.7283625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add PASSED [0.0131s] [ 89%] 2023-07-07T20:05:40.7283901Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src PASSED [0.0066s] [ 89%] 2023-07-07T20:05:40.7284230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination2 PASSED [0.0066s] [ 89%] 2023-07-07T20:05:40.7284663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination4 PASSED [0.0067s] [ 89%] 2023-07-07T20:05:40.7284933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_index_not_unique PASSED [0.0129s] [ 89%] 2023-07-07T20:05:40.7285190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0065s] [ 89%] 2023-07-07T20:05:40.7285431Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_int PASSED [0.0056s] [ 89%] 2023-07-07T20:05:40.7285692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop PASSED [0.0080s] [ 89%] 2023-07-07T20:05:40.7285955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_set_attr_in_loop_with_list PASSED [0.0074s] [ 89%] 2023-07-07T20:05:40.7286194Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_silu PASSED [0.0050s] [ 89%] 2023-07-07T20:05:40.7286443Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic PASSED [0.0535s] [ 89%] 2023-07-07T20:05:40.7286709Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_shape_script PASSED [0.0195s] [ 89%] 2023-07-07T20:05:40.7286969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_to_end PASSED [0.0268s] [ 89%] 2023-07-07T20:05:40.7287282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone PASSED [0.0098s] [ 89%] 2023-07-07T20:05:40.7287566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_trace PASSED [0.0075s] [ 89%] 2023-07-07T20:05:40.7287828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0354s] [ 89%] 2023-07-07T20:05:40.7288088Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size PASSED [0.0494s] [ 89%] 2023-07-07T20:05:40.7288379Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_softmax_large_values PASSED [0.0270s] [ 89%] 2023-07-07T20:05:40.7288619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sort PASSED [0.0147s] [ 89%] 2023-07-07T20:05:40.7288850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split PASSED [0.0216s] [ 89%] 2023-07-07T20:05:40.7289101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0054s] [ 89%] 2023-07-07T20:05:40.7289346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split_script PASSED [0.0213s] [ 89%] 2023-07-07T20:05:40.7289602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_split_size_as_list PASSED [0.0106s] [ 89%] 2023-07-07T20:05:40.7289884Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0045s] [ 89%] 2023-07-07T20:05:40.7290142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0095s] [ 89%] 2023-07-07T20:05:40.7290389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg PASSED [0.0100s] [ 89%] 2023-07-07T20:05:40.7290648Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg_without_no_op PASSED [0.0053s] [ 89%] 2023-07-07T20:05:40.7290899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0096s] [ 89%] 2023-07-07T20:05:40.7291148Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims PASSED [0.0178s] [ 89%] 2023-07-07T20:05:40.7291393Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0148s] [ 89%] 2023-07-07T20:05:40.7291651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean_along_dims PASSED [0.0181s] [ 89%] 2023-07-07T20:05:40.7291899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean_correction PASSED [0.0109s] [ 89%] 2023-07-07T20:05:40.7292155Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0187s] [ 89%] 2023-07-07T20:05:40.7292447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length SKIPPED [0.0009s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7292813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_non_divisible_hop_length SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7293103Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_normalize SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7293404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_different_size SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7293730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_window_int_same_size SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7294033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len SKIPPED [0.0009s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7294337Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7294634Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length SKIPPED [0.0008s] (Unsupported opset_version: 16 < 17) [ 89%] 2023-07-07T20:05:40.7294890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_sum_empty_tensor PASSED [0.0274s] [ 89%] 2023-07-07T20:05:40.7295184Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference PASSED [0.0465s] [ 89%] 2023-07-07T20:05:40.7295460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange_2 PASSED [0.0311s] [ 89%] 2023-07-07T20:05:40.7295736Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes PASSED [0.0096s] [ 89%] 2023-07-07T20:05:40.7296009Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_2 PASSED [0.0399s] [ 89%] 2023-07-07T20:05:40.7296284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0469s] [ 89%] 2023-07-07T20:05:40.7296542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0275s] [ 89%] 2023-07-07T20:05:40.7296815Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2 PASSED [0.0134s] [ 89%] 2023-07-07T20:05:40.7297057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_take PASSED [0.0070s] [ 89%] 2023-07-07T20:05:40.7297307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tanhshrink PASSED [0.0061s] [ 89%] 2023-07-07T20:05:40.7297552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor PASSED [0.0156s] [ 89%] 2023-07-07T20:05:40.7297853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing PASSED [0.0590s] [ 89%] 2023-07-07T20:05:40.7298161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0192s] [ 89%] 2023-07-07T20:05:40.7298441Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0157s] [ 89%] 2023-07-07T20:05:40.7298688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_split PASSED [0.0676s] [ 89%] 2023-07-07T20:05:40.7298978Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes PASSED [0.0131s] [ 89%] 2023-07-07T20:05:40.7299226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_to_device PASSED [0.0120s] [ 89%] 2023-07-07T20:05:40.7299469Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tolist PASSED [0.0033s] [ 89%] 2023-07-07T20:05:40.7299699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_topk PASSED [0.0072s] [ 89%] 2023-07-07T20:05:40.7299945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k PASSED [0.0080s] [ 89%] 2023-07-07T20:05:40.7300193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0033s] [ 89%] 2023-07-07T20:05:40.7300462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0048s] [ 89%] 2023-07-07T20:05:40.7300717Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_transform_images PASSED [0.1606s] [ 89%] 2023-07-07T20:05:40.7300982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_transpose_infer_shape PASSED [0.0082s] [ 89%] 2023-07-07T20:05:40.7301222Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tril PASSED [0.0164s] [ 89%] 2023-07-07T20:05:40.7301473Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tuple_input PASSED [0.0041s] [ 89%] 2023-07-07T20:05:40.7301793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 89%] 2023-07-07T20:05:40.7302080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception PASSED [0.0061s] [ 89%] 2023-07-07T20:05:40.7302324Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unbind PASSED [0.0195s] [ 89%] 2023-07-07T20:05:40.7302566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unfold PASSED [0.0081s] [ 89%] 2023-07-07T20:05:40.7302824Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unfold_infer_shape PASSED [0.0055s] [ 89%] 2023-07-07T20:05:40.7303076Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList PASSED [0.0053s] [ 89%] 2023-07-07T20:05:40.7303376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList PASSED [0.0051s] [ 89%] 2023-07-07T20:05:40.7303677Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic PASSED [0.0051s] [ 89%] 2023-07-07T20:05:40.7303925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unique PASSED [0.0060s] [ 89%] 2023-07-07T20:05:40.7304205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unsafe_chunk PASSED [0.0064s] [ 89%] 2023-07-07T20:05:40.7304451Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0052s] [ 89%] 2023-07-07T20:05:40.7304693Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var PASSED [0.1078s] [ 89%] 2023-07-07T20:05:40.7304949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var_correction PASSED [0.0116s] [ 89%] 2023-07-07T20:05:40.7305207Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var_mean_correction PASSED [0.0118s] [ 89%] 2023-07-07T20:05:40.7305460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim PASSED [0.0192s] [ 89%] 2023-07-07T20:05:40.7305746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic_zero_dim PASSED [0.0083s] [ 89%] 2023-07-07T20:05:40.7306005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_where_condition PASSED [0.0302s] [ 89%] 2023-07-07T20:05:40.7306269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_16_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script PASSED [0.0303s] [ 89%] 2023-07-07T20:05:40.7306514Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0402s] [ 89%] 2023-07-07T20:05:40.7306758Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_add_inplace PASSED [0.0115s] [ 89%] 2023-07-07T20:05:40.7307003Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_addcmul PASSED [0.0153s] [ 89%] 2023-07-07T20:05:40.7307242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_all PASSED [0.0372s] [ 89%] 2023-07-07T20:05:40.7307517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_all_optional_default_tensor_script PASSED [0.0464s] [ 89%] 2023-07-07T20:05:40.7307760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0132s] [ 89%] 2023-07-07T20:05:40.7307998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0137s] [ 89%] 2023-07-07T20:05:40.7308238Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_any PASSED [0.0339s] [ 89%] 2023-07-07T20:05:40.7308517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_dynamic PASSED [0.0488s] [ 89%] 2023-07-07T20:05:40.7308762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0383s] [ 89%] 2023-07-07T20:05:40.7309037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_no_type PASSED [0.0144s] [ 89%] 2023-07-07T20:05:40.7309279Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_out PASSED [0.0135s] [ 89%] 2023-07-07T20:05:40.7309574Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0281s] [ 89%] 2023-07-07T20:05:40.7309842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_start_end_step_notype PASSED [0.0308s] [ 89%] 2023-07-07T20:05:40.7310098Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arange_with_floats_out PASSED [0.0418s] [ 89%] 2023-07-07T20:05:40.7310368Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index PASSED [0.0450s] [ 89%] 2023-07-07T20:05:40.7310609Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_argsort PASSED [0.0121s] [ 89%] 2023-07-07T20:05:40.7310921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_arithmeticOps_with_low_precision SKIPPED [0.0009s] (Unsupported opset_version: 17 > 13) [ 89%] 2023-07-07T20:05:40.7311239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_as_strided SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7311895Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7312492Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7313036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7313185Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7313739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.7313881Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.7313965Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.7313975Z 2023-07-07T20:05:40.7314097Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.7314234Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.7314478Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7315137Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7315329Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7315502Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7315654Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7315660Z 2023-07-07T20:05:40.7315749Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7315893Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7316054Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7316205Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7316210Z 2023-07-07T20:05:40.7316356Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7316506Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7316651Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7316802Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7316807Z 2023-07-07T20:05:40.7316812Z 2023-07-07T20:05:40.7316983Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7317199Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7317405Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7317627Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7317635Z 2023-07-07T20:05:40.7317849Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7318066Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7318284Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7318506Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7318549Z 2023-07-07T20:05:40.7318677Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7318894Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7319098Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7319486Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7320421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7321287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7321510Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7321725Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7321945Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7321953Z 2023-07-07T20:05:40.7322083Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7322296Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7322513Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7322722Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7322730Z 2023-07-07T20:05:40.7322951Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7323165Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7323382Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7323607Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7323646Z 2023-07-07T20:05:40.7323653Z 2023-07-07T20:05:40.7323871Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7324087Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7324305Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7324759Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7324782Z 2023-07-07T20:05:40.7324992Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7325208Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7325425Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7325698Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7325705Z 2023-07-07T20:05:40.7325831Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7326047Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7326265Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7326641Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7327477Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7327694Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 89%] 2023-07-07T20:05:40.7328066Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0115s] [ 89%] 2023-07-07T20:05:40.7328488Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0099s] [ 89%] 2023-07-07T20:05:40.7328944Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0142s] [ 90%] 2023-07-07T20:05:40.7329402Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0158s] [ 90%] 2023-07-07T20:05:40.7329851Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put PASSED [0.0234s] [ 90%] 2023-07-07T20:05:40.7358853Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_index_put_ellipsis SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 90%] 2023-07-07T20:05:40.7364176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_downsample PASSED [0.3304s] [ 90%] 2023-07-07T20:05:40.7364613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_function_substitution PASSED [0.0247s] [ 90%] 2023-07-07T20:05:40.7364883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample PASSED [0.3314s] [ 90%] 2023-07-07T20:05:40.7365172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0010s] (Unsupported opset_version: 17 > 8) [ 90%] 2023-07-07T20:05:40.7365414Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_isnan PASSED [0.0090s] [ 90%] 2023-07-07T20:05:40.7365655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_item PASSED [0.0110s] [ 90%] 2023-07-07T20:05:40.7365899Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_kldiv_loss PASSED [0.2245s] [ 90%] 2023-07-07T20:05:40.7366141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0190s] [ 90%] 2023-07-07T20:05:40.7366381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_layer_norm PASSED [0.0130s] [ 90%] 2023-07-07T20:05:40.7366616Z 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[ 92%] 2023-07-07T20:05:40.7456256Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_split_dynamic_axes PASSED [0.0109s] [ 92%] 2023-07-07T20:05:40.7456619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_split_tensor_multi PASSED [0.0009s] [ 92%] 2023-07-07T20:05:40.7456988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze PASSED [0.0103s] [ 92%] 2023-07-07T20:05:40.7457384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_neg_without_no_op PASSED [0.0082s] [ 92%] 2023-07-07T20:05:40.7457759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_no_op PASSED [0.0130s] [ 92%] 2023-07-07T20:05:40.7458141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_runtime_dim PASSED [0.0360s] [ 92%] 2023-07-07T20:05:40.7458531Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_squeeze_without_no_op PASSED [0.0090s] [ 92%] 2023-07-07T20:05:40.7458943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stack_dynamic PASSED [0.0092s] [ 92%] 2023-07-07T20:05:40.7459347Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_std_correction PASSED [0.0200s] [ 92%] 2023-07-07T20:05:40.7459718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_std_keepdim PASSED [0.0271s] [ 92%] 2023-07-07T20:05:40.7460091Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_std_mean_correction PASSED [0.0159s] [ 92%] 2023-07-07T20:05:40.7460498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_hop_length PASSED [0.0332s] [ 92%] 2023-07-07T20:05:40.7460904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_non_divisible_hop_length PASSED [0.0157s] [ 92%] 2023-07-07T20:05:40.7461283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_normalize PASSED [0.0161s] [ 92%] 2023-07-07T20:05:40.7461663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_not_onesided PASSED [0.0148s] [ 92%] 2023-07-07T20:05:40.7462048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_one_dimension PASSED [0.0147s] [ 92%] 2023-07-07T20:05:40.7462432Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_window_custom PASSED [0.0139s] [ 92%] 2023-07-07T20:05:40.7462867Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_window_int_different_size PASSED [0.0131s] [ 92%] 2023-07-07T20:05:40.7463271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_stft_window_size_with_win_len PASSED [0.0150s] [ 92%] 2023-07-07T20:05:40.7463629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_sum PASSED [0.0098s] [ 92%] 2023-07-07T20:05:40.7464038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_arange_2 PASSED [0.0450s] [ 92%] 2023-07-07T20:05:40.7464455Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_nonzero PASSED [0.0773s] [ 92%] 2023-07-07T20:05:40.7464865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_slice PASSED [0.0418s] [ 92%] 2023-07-07T20:05:40.7465320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_symbolic_shape_inference_time SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 92%] 2023-07-07T20:05:40.7465695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tanhshrink PASSED [0.0099s] [ 92%] 2023-07-07T20:05:40.7466080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_factories PASSED [0.0203s] [ 92%] 2023-07-07T20:05:40.7466459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_split PASSED [0.0668s] [ 92%] 2023-07-07T20:05:40.7466894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_dynamic_axes PASSED [0.0170s] [ 92%] 2023-07-07T20:05:40.7467307Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensor_split_scalar PASSED [0.0160s] [ 92%] 2023-07-07T20:05:40.7467697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_count PASSED [0.0259s] [ 92%] 2023-07-07T20:05:40.7468085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dim_list PASSED [0.0257s] [ 92%] 2023-07-07T20:05:40.7468505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tensordot_dynamic_dim PASSED [0.0301s] [ 92%] 2023-07-07T20:05:40.7468877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_to_device PASSED [0.0383s] [ 92%] 2023-07-07T20:05:40.7469242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tolist PASSED [0.0117s] [ 92%] 2023-07-07T20:05:40.7469619Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_topk_int32_k PASSED [0.0126s] [ 92%] 2023-07-07T20:05:40.7469988Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_topk_script PASSED [0.0101s] [ 92%] 2023-07-07T20:05:40.7470371Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_topk_smallest_unsorted PASSED [0.0176s] [ 92%] 2023-07-07T20:05:40.7470768Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_torch_mm PASSED [0.0100s] [ 92%] 2023-07-07T20:05:40.7471143Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_trace_script PASSED [0.0178s] [ 92%] 2023-07-07T20:05:40.7471506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tril PASSED [0.0360s] [ 92%] 2023-07-07T20:05:40.7471950Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_True::test_tuple_of_optional SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 92%] 2023-07-07T20:05:40.7486138Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7486292Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7486439Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7486588Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7486603Z 2023-07-07T20:05:40.7486695Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7486841Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7486988Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7487126Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7487134Z 2023-07-07T20:05:40.7487281Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7487424Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7487570Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7487789Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7487795Z 2023-07-07T20:05:40.7487800Z 2023-07-07T20:05:40.7487944Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7488086Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7488268Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7488408Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7488427Z 2023-07-07T20:05:40.7488557Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7488699Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7488843Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7489027Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7489032Z 2023-07-07T20:05:40.7489117Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7489262Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7489407Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7489653Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 92%] 2023-07-07T20:05:40.7490263Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0007s] (Skip verify test for TorchScript.) [ 92%] 2023-07-07T20:05:40.7490802Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7490950Z [ 0_5036, 0_2310, 0_6931]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 92%] 2023-07-07T20:05:40.7491590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 92%] 2023-07-07T20:05:40.7492142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[ 0_7988, -0_0923, -0_7049, -1_6024], 2023-07-07T20:05:40.7492277Z [ 0_2891, 0_4899, -0_3853, -0_7120], 2023-07-07T20:05:40.7492363Z [ 0_7667, 0_0190, 0_0220, 1_1532]], 2023-07-07T20:05:40.7492372Z 2023-07-07T20:05:40.7492504Z [[-0_3393, 0_1559, 0_8966, -0_2968], 2023-07-07T20:05:40.7492636Z [-0_6857, -0_0496, -1_2485, -0_8509], 2023-07-07T20:05:40.7492881Z [-0_7690, -1_5606, -0_5309, 0_2178]]]) SKIPPED [0.0008s] (Skip verify test for TorchScript.) [ 92%] 2023-07-07T20:05:40.7493169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_auto_grad SKIPPED [0.0007s] (Skip verify test for TorchScript.) 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_2d_sliceint PASSED [0.0137s] [ 92%] 2023-07-07T20:05:40.7517389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0163s] [ 92%] 2023-07-07T20:05:40.7517633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_copy PASSED [0.0162s] [ 92%] 2023-07-07T20:05:40.7517877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_mask PASSED [0.0231s] [ 92%] 2023-07-07T20:05:40.7518108Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put PASSED [0.0145s] [ 92%] 2023-07-07T20:05:40.7518384Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if PASSED [0.1620s] [ 93%] 2023-07-07T20:05:40.7518639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_2 PASSED [0.3328s] [ 93%] 2023-07-07T20:05:40.7518885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_3 PASSED [0.0837s] [ 93%] 2023-07-07T20:05:40.7519127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_if_5 PASSED [0.1045s] [ 93%] 2023-07-07T20:05:40.7519382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_singular PASSED [0.0351s] [ 93%] 2023-07-07T20:05:40.7519647Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_to_masked_fill PASSED [0.0186s] [ 93%] 2023-07-07T20:05:40.7519928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_index_put_with_1d_mask_to_masked_scatter PASSED [0.0178s] [ 93%] 2023-07-07T20:05:40.7520190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_inplace_arithmetic_half PASSED [0.0199s] [ 93%] 2023-07-07T20:05:40.7520439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_inplace_zero PASSED [0.0181s] [ 93%] 2023-07-07T20:05:40.7520713Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_instancenorm2d_norunningstats PASSED [0.0578s] [ 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 93%] 2023-07-07T20:05:40.7522449Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_downsample PASSED [0.3738s] [ 93%] 2023-07-07T20:05:40.7522712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_half_pixel PASSED [0.0817s] [ 93%] 2023-07-07T20:05:40.7522971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample PASSED [0.3304s] [ 93%] 2023-07-07T20:05:40.7523277Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 17 > 8) [ 93%] 2023-07-07T20:05:40.7523521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_isinf PASSED [0.0092s] [ 93%] 2023-07-07T20:05:40.7523789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_isnan PASSED [0.0089s] [ 93%] 2023-07-07T20:05:40.7524038Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_kldiv_loss PASSED [0.2234s] [ 93%] 2023-07-07T20:05:40.7524284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_layer_norm PASSED [0.0110s] [ 93%] 2023-07-07T20:05:40.7524656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_len PASSED [0.0109s] [ 93%] 2023-07-07T20:05:40.7524903Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_len_list PASSED [0.0089s] [ 93%] 2023-07-07T20:05:40.7525134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_lerp PASSED [0.1271s] [ 93%] 2023-07-07T20:05:40.7525389Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm PASSED [0.1855s] [ 93%] 2023-07-07T20:05:40.7525652Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero PASSED [0.0114s] [ 93%] 2023-07-07T20:05:40.7525894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linspace PASSED [0.0149s] [ 93%] 2023-07-07T20:05:40.7526190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_linspace_negative_start PASSED [0.0147s] [ 93%] 2023-07-07T20:05:40.7526556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list PASSED [0.0240s] [ 93%] 2023-07-07T20:05:40.7526946Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested PASSED [0.0273s] [ 93%] 2023-07-07T20:05:40.7527419Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype PASSED [0.0327s] [ 93%] 2023-07-07T20:05:40.7527827Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_list_del PASSED [0.0227s] [ 93%] 2023-07-07T20:05:40.7528213Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_log10 PASSED [0.0108s] [ 93%] 2023-07-07T20:05:40.7530470Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_log1p PASSED [0.0103s] [ 93%] 2023-07-07T20:05:40.7530875Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logdet PASSED [0.0094s] [ 93%] 2023-07-07T20:05:40.7531251Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logical_and PASSED [0.0344s] [ 93%] 2023-07-07T20:05:40.7531621Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_logical_not PASSED [0.0308s] [ 93%] 2023-07-07T20:05:40.7531992Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_meshgrid_scalar PASSED [0.0200s] [ 93%] 2023-07-07T20:05:40.7541939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_min_int PASSED [0.0435s] [ 93%] 2023-07-07T20:05:40.7542321Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_minimum_dtypes PASSED [0.0345s] [ 93%] 2023-07-07T20:05:40.7542771Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_mixed_optional SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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Conditioning on input type via prim::isinstance unsupported in ONNX) [ 94%] 2023-07-07T20:05:40.7613033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_round PASSED [0.0097s] [ 94%] 2023-07-07T20:05:40.7613491Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_rpn SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 94%] 2023-07-07T20:05:40.7620219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_script PASSED [0.0115s] [ 94%] 2023-07-07T20:05:40.7620546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_dynamic_to_end SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 94%] 2023-07-07T20:05:40.7620790Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_neg PASSED [0.0128s] [ 94%] 2023-07-07T20:05:40.7621092Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_with_1d_input_index SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 94%] 2023-07-07T20:05:40.7621380Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0413s] [ 94%] 2023-07-07T20:05:40.7621645Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_slice_with_input_step_size PASSED [0.0574s] [ 94%] 2023-07-07T20:05:40.7621892Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_softplus PASSED [0.0421s] [ 94%] 2023-07-07T20:05:40.7622141Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_softshrink PASSED [0.0351s] [ 94%] 2023-07-07T20:05:40.7622397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0117s] [ 94%] 2023-07-07T20:05:40.7622704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_sort SKIPPED [0.0009s] (Skip verify test for TorchScript.) 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[ 94%] 2023-07-07T20:05:40.7623543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0187s] [ 94%] 2023-07-07T20:05:40.7623801Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0108s] [ 94%] 2023-07-07T20:05:40.7624057Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0083s] [ 94%] 2023-07-07T20:05:40.7624311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic PASSED [0.0130s] [ 94%] 2023-07-07T20:05:40.7624565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_squeeze_dynamic_dim PASSED [0.0106s] [ 94%] 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[ 94%] 2023-07-07T20:05:40.7633411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_triu PASSED [0.0354s] [ 94%] 2023-07-07T20:05:40.7633663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_input PASSED [0.0087s] [ 94%] 2023-07-07T20:05:40.7633960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 94%] 2023-07-07T20:05:40.7634239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script PASSED [0.0245s] [ 94%] 2023-07-07T20:05:40.7634521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception PASSED [0.0148s] [ 94%] 2023-07-07T20:05:40.7634857Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_tuple_with_none_outputs PASSED [0.0102s] [ 94%] 2023-07-07T20:05:40.7635106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_type_as PASSED [0.0260s] [ 94%] 2023-07-07T20:05:40.7635348Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unbind PASSED [0.0413s] [ 94%] 2023-07-07T20:05:40.7635587Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unfold PASSED [0.0129s] [ 94%] 2023-07-07T20:05:40.7635849Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_intList PASSED [0.0307s] [ 94%] 2023-07-07T20:05:40.7636115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_optional PASSED [0.0216s] [ 94%] 2023-07-07T20:05:40.7636410Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList PASSED [0.0174s] [ 94%] 2023-07-07T20:05:40.7636712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_dynamic PASSED [0.0482s] [ 94%] 2023-07-07T20:05:40.7636983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_uninitialized_tensorList_shape PASSED [0.0427s] [ 94%] 2023-07-07T20:05:40.7637261Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unique_along_dim PASSED [0.0117s] [ 94%] 2023-07-07T20:05:40.7637520Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim PASSED [0.0091s] [ 94%] 2023-07-07T20:05:40.7637813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_unsupported_pad SKIPPED [0.0009s] (Unsupported opset_version: 17 > 10) [ 94%] 2023-07-07T20:05:40.7638051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var PASSED [0.1764s] [ 94%] 2023-07-07T20:05:40.7638286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_correction PASSED [0.0167s] [ 94%] 2023-07-07T20:05:40.7638527Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0246s] [ 94%] 2023-07-07T20:05:40.7638832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean_along_dims PASSED [0.0274s] [ 94%] 2023-07-07T20:05:40.7639093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean_correction PASSED [0.0163s] [ 94%] 2023-07-07T20:05:40.7639345Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_var_mean_mixed_dims PASSED [0.0354s] [ 94%] 2023-07-07T20:05:40.7639585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_view PASSED [0.0103s] [ 94%] 2023-07-07T20:05:40.7639883Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_weight_norm_nodim SKIPPED [0.0009s] (Skip verify test for TorchScript.) [ 94%] 2023-07-07T20:05:40.7640145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_where_condition_script PASSED [0.0285s] [ 94%] 2023-07-07T20:05:40.7640403Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_where_with_bool_tensor PASSED [0.0486s] [ 94%] 2023-07-07T20:05:40.7640663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_GRU PASSED [0.1397s] [ 94%] 2023-07-07T20:05:40.7640966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_LSTM SKIPPED [0.0010s] (Skip verify test for TorchScript.) [ 94%] 2023-07-07T20:05:40.7641232Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_RELU PASSED [0.0961s] [ 94%] 2023-07-07T20:05:40.7641494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_True_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH PASSED [0.0960s] [ 94%] 2023-07-07T20:05:40.7641785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_0d_tensor_broadcast PASSED [0.0070s] [ 94%] 2023-07-07T20:05:40.7642041Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_MSELoss PASSED [0.0257s] [ 94%] 2023-07-07T20:05:40.7642283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_all PASSED [0.0211s] [ 94%] 2023-07-07T20:05:40.7642547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_all_optional_default_tensor PASSED [0.0098s] [ 94%] 2023-07-07T20:05:40.7642822Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_amax_amin PASSED [0.0070s] [ 94%] 2023-07-07T20:05:40.7643064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_aminmax PASSED [0.0075s] [ 94%] 2023-07-07T20:05:40.7643311Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_end PASSED [0.0142s] [ 94%] 2023-07-07T20:05:40.7643560Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end PASSED [0.0139s] [ 94%] 2023-07-07T20:05:40.7643819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step PASSED [0.0158s] [ 94%] 2023-07-07T20:05:40.7644115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_end_step_notype PASSED [0.0152s] [ 94%] 2023-07-07T20:05:40.7644370Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_start_out PASSED [0.0197s] [ 94%] 2023-07-07T20:05:40.7644777Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arange_with_floats PASSED [0.0513s] [ 94%] 2023-07-07T20:05:40.7645048Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_argmin_argmax_select_last_index PASSED [0.0333s] [ 94%] 2023-07-07T20:05:40.7645282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic PASSED [0.0098s] [ 94%] 2023-07-07T20:05:40.7645546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_infer_dtype PASSED [0.0036s] [ 94%] 2023-07-07T20:05:40.7645809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_float PASSED [0.0189s] [ 94%] 2023-07-07T20:05:40.7646067Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_arithmetic_prim_long PASSED [0.0166s] [ 94%] 2023-07-07T20:05:40.7646313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_as_strided PASSED [0.0314s] [ 94%] 2023-07-07T20:05:40.7646877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0103s] [ 94%] 2023-07-07T20:05:40.7647362Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_list_input_module_class_ PASSED [0.0126s] [ 94%] 2023-07-07T20:05:40.7647996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0053s] [ 95%] 2023-07-07T20:05:40.7648552Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0047s] [ 95%] 2023-07-07T20:05:40.7649093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7649242Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0038s] [ 95%] 2023-07-07T20:05:40.7649806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7649960Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7650109Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7650247Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7650257Z 2023-07-07T20:05:40.7650347Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7650493Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7650639Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7650789Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7650830Z 2023-07-07T20:05:40.7650981Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7651125Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7651271Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7651409Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7651417Z 2023-07-07T20:05:40.7651436Z 2023-07-07T20:05:40.7651567Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7651709Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7651855Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7652004Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7652012Z 2023-07-07T20:05:40.7652156Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7652298Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7652445Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7652582Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7652601Z 2023-07-07T20:05:40.7652674Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7652814Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7652958Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7653151Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0040s] [ 95%] 2023-07-07T20:05:40.7653693Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0049s] [ 95%] 2023-07-07T20:05:40.7654237Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7654374Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0045s] [ 95%] 2023-07-07T20:05:40.7654958Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7655108Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7655252Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7655388Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7655421Z 2023-07-07T20:05:40.7655508Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7655651Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7655798Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7655949Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7655955Z 2023-07-07T20:05:40.7656103Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7656248Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7656395Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7656533Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7656539Z 2023-07-07T20:05:40.7656543Z 2023-07-07T20:05:40.7656686Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7656828Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7656974Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7657121Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7657127Z 2023-07-07T20:05:40.7657268Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7657440Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7657585Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7657718Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7657737Z 2023-07-07T20:05:40.7657809Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7657953Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7658095Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7658284Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0036s] [ 95%] 2023-07-07T20:05:40.7658536Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_auto_grad PASSED [0.0079s] [ 95%] 2023-07-07T20:05:40.7658788Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool PASSED [0.0081s] [ 95%] 2023-07-07T20:05:40.7659045Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_1d_ceil PASSED [0.0074s] [ 95%] 2023-07-07T20:05:40.7659346Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_True PASSED [0.0131s] [ 95%] 2023-07-07T20:05:40.7659642Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_False PASSED [0.0118s] [ 95%] 2023-07-07T20:05:40.7659938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0137s] [ 95%] 2023-07-07T20:05:40.7660189Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_avgpool_default_stride PASSED [0.0102s] [ 95%] 2023-07-07T20:05:40.7660462Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_baddbmm PASSED [0.0092s] [ 95%] 2023-07-07T20:05:40.7660734Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batched_nms PASSED [0.0210s] [ 95%] 2023-07-07T20:05:40.7660997Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm1d_noaffine PASSED [0.0145s] [ 95%] 2023-07-07T20:05:40.7661247Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d PASSED [0.0141s] [ 95%] 2023-07-07T20:05:40.7661543Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_noaffine PASSED [0.0158s] [ 95%] 2023-07-07T20:05:40.7661812Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm2d_norunningstats PASSED [0.0224s] [ 95%] 2023-07-07T20:05:40.7662073Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm3d_noaffine PASSED [0.1195s] [ 95%] 2023-07-07T20:05:40.7662326Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_batchnorm_training PASSED [0.0576s] [ 95%] 2023-07-07T20:05:40.7662575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_bernoulli_p PASSED [0.0291s] [ 95%] 2023-07-07T20:05:40.7662873Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_binary_cross_entropy_with_logits PASSED [0.1376s] [ 95%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_celu PASSED [0.0052s] [ 95%] 2023-07-07T20:05:40.7664594Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_celu_alpha PASSED [0.0049s] [ 95%] 2023-07-07T20:05:40.7664839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_clamp PASSED [0.0155s] [ 95%] 2023-07-07T20:05:40.7665086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_clamp_dyn PASSED [0.0210s] [ 95%] 2023-07-07T20:05:40.7665342Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_clip_boxes_to_image PASSED [0.0452s] [ 95%] 2023-07-07T20:05:40.7665595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_concat_dynamic PASSED [0.0036s] [ 95%] 2023-07-07T20:05:40.7665960Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_conv_shape_inference PASSED [0.0517s] [ 95%] 2023-07-07T20:05:40.7666372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_conv_transpose PASSED [0.3020s] [ 95%] 2023-07-07T20:05:40.7666762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_convolution_allow_tf32 PASSED [0.0233s] [ 95%] 2023-07-07T20:05:40.7667112Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_copy_ PASSED [0.1934s] [ 95%] 2023-07-07T20:05:40.7667523Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis PASSED [0.0762s] [ 95%] 2023-07-07T20:05:40.7667916Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_copy_ellipsis_script PASSED [0.0458s] [ 95%] 2023-07-07T20:05:40.7668283Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cross PASSED [0.0344s] [ 95%] 2023-07-07T20:05:40.7668673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_crossentropyloss PASSED [0.3307s] [ 95%] 2023-07-07T20:05:40.7669049Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cste_script PASSED [0.0050s] [ 95%] 2023-07-07T20:05:40.7669421Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_cumsum PASSED [0.0053s] [ 95%] 2023-07-07T20:05:40.7669828Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_derive_index PASSED [0.0518s] [ 95%] 2023-07-07T20:05:40.7670227Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_derive_index_scripting PASSED [0.0538s] [ 95%] 2023-07-07T20:05:40.7670593Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_det PASSED [0.0049s] [ 95%] 2023-07-07T20:05:40.7670962Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_diagonal PASSED [0.1451s] [ 95%] 2023-07-07T20:05:40.7671327Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dict PASSED [0.0054s] [ 95%] 2023-07-07T20:05:40.7671682Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dict_str PASSED [0.0058s] [ 95%] 2023-07-07T20:05:40.7672047Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dim_1 PASSED [0.0041s] [ 95%] 2023-07-07T20:05:40.7672447Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dist_uniform_correctness PASSED [0.0158s] [ 95%] 2023-07-07T20:05:40.7672807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_div PASSED [0.0116s] [ 95%] 2023-07-07T20:05:40.7673198Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_script PASSED [0.0134s] [ 95%] 2023-07-07T20:05:40.7673591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_div_promotion_trace PASSED [0.0090s] [ 95%] 2023-07-07T20:05:40.7673996Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dropout PASSED [0.0056s] [ 95%] 2023-07-07T20:05:40.7674422Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_dropout_training_zero PASSED [0.0573s] [ 95%] 2023-07-07T20:05:40.7674914Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_embedding_bag_1d_per_sample_weights PASSED [0.0215s] [ 95%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fmod PASSED [0.0048s] [ 95%] 2023-07-07T20:05:40.7681139Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fmod_scalar PASSED [0.0055s] [ 95%] 2023-07-07T20:05:40.7681520Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm PASSED [0.0082s] [ 95%] 2023-07-07T20:05:40.7681915Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_frobenius_norm_keepdim PASSED [0.0110s] [ 95%] 2023-07-07T20:05:40.7682304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_full_like PASSED [0.0058s] [ 95%] 2023-07-07T20:05:40.7682714Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_full_like_value PASSED [0.0081s] [ 95%] 2023-07-07T20:05:40.7683087Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_addmm PASSED [0.0053s] [ 95%] 2023-07-07T20:05:40.7683494Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn1d PASSED [0.0122s] [ 95%] 2023-07-07T20:05:40.7683866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_bn3d PASSED [0.0239s] [ 95%] 2023-07-07T20:05:40.7684254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_fuse_conv_in_block PASSED [0.0102s] [ 95%] 2023-07-07T20:05:40.7684746Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gather PASSED [0.0059s] [ 95%] 2023-07-07T20:05:40.7685142Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gather_constant_fold PASSED [0.0340s] [ 95%] 2023-07-07T20:05:40.7685509Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_ge_scalar PASSED [0.0094s] [ 95%] 2023-07-07T20:05:40.7685936Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_getitem PASSED [0.0046s] [ 95%] 2023-07-07T20:05:40.7686301Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_glu PASSED [0.0060s] [ 95%] 2023-07-07T20:05:40.7686741Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_border_False PASSED [0.0326s] [ 95%] 2023-07-07T20:05:40.7687182Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bicubic_padding_mode_reflection_True PASSED [0.0324s] [ 95%] 2023-07-07T20:05:40.7687622Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_False PASSED [0.0325s] [ 95%] 2023-07-07T20:05:40.7687970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_bilinear_padding_mode_border_True PASSED [0.0326s] [ 95%] 2023-07-07T20:05:40.7688271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_False PASSED [0.0370s] [ 95%] 2023-07-07T20:05:40.7688568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_reflection_True PASSED [0.0397s] [ 95%] 2023-07-07T20:05:40.7688856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_grid_sample_mode_nearest_padding_mode_zeros_False PASSED [0.0327s] [ 95%] 2023-07-07T20:05:40.7689106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_groupnorm PASSED [0.0654s] [ 95%] 2023-07-07T20:05:40.7689430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gru_constant_folding PASSED [0.1160s] [ 95%] 2023-07-07T20:05:40.7689673Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_gt_scalar PASSED [0.0106s] [ 95%] 2023-07-07T20:05:40.7689969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_hann_window_default_values PASSED [0.0147s] [ 95%] 2023-07-07T20:05:40.7690233Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_hann_window_not_periodic PASSED [0.0152s] [ 95%] 2023-07-07T20:05:40.7690551Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_hann_window_periodic PASSED [0.0144s] [ 95%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_add_dim_size_differ PASSED [0.0105s] [ 95%] 2023-07-07T20:05:40.7692335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_add_dynamic_axes PASSED [0.0131s] [ 95%] 2023-07-07T20:05:40.7692588Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_add_in_loop PASSED [0.0260s] [ 95%] 2023-07-07T20:05:40.7692846Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_accumulate PASSED [0.0112s] [ 95%] 2023-07-07T20:05:40.7693099Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_index_put_ellipsis PASSED [0.0962s] [ 95%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_copy_with_loop PASSED [0.0050s] [ 95%] 2023-07-07T20:05:40.7696024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_attr_with_loop PASSED [0.0039s] [ 95%] 2023-07-07T20:05:40.7696277Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_fill PASSED [0.0108s] [ 95%] 2023-07-07T20:05:40.7696525Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_list PASSED [0.0047s] [ 95%] 2023-07-07T20:05:40.7696787Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_inplace_sequence_with_loop PASSED [0.0124s] [ 95%] 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[0.0450s] [ 95%] 2023-07-07T20:05:40.7698374Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm3d_norunningstats PASSED [0.1892s] [ 95%] 2023-07-07T20:05:40.7698649Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_eval_mode_train_layer PASSED [0.2927s] [ 95%] 2023-07-07T20:05:40.7698925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_instancenorm_training_mode_fix_layer PASSED [0.1341s] [ 95%] 2023-07-07T20:05:40.7699190Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_downsample PASSED [0.2378s] [ 95%] 2023-07-07T20:05:40.7699465Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_function_substitution PASSED [0.0181s] [ 95%] 2023-07-07T20:05:40.7699725Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_no_shape PASSED [0.0062s] [ 95%] 2023-07-07T20:05:40.7700035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_interpolate_upsample_trace SKIPPED [0.0009s] (Unsupported opset_version: 17 > 8) [ 95%] 2023-07-07T20:05:40.7700304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_item PASSED [0.0053s] [ 95%] 2023-07-07T20:05:40.7700577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_l1_norm PASSED [0.0092s] [ 95%] 2023-07-07T20:05:40.7700823Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_len_list PASSED [0.0035s] [ 95%] 2023-07-07T20:05:40.7701060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lerp PASSED [0.0486s] [ 95%] 2023-07-07T20:05:40.7701335Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linalg_cross PASSED [0.0350s] [ 95%] 2023-07-07T20:05:40.7701577Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linalg_matrix_norm PASSED [0.1010s] [ 95%] 2023-07-07T20:05:40.7701835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linalg_vector_norm PASSED [0.1320s] [ 95%] 2023-07-07T20:05:40.7702080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linspace PASSED [0.0101s] [ 95%] 2023-07-07T20:05:40.7702341Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_linspace_negative_start PASSED [0.0102s] [ 95%] 2023-07-07T20:05:40.7702596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_append_in_block PASSED [0.0056s] [ 95%] 2023-07-07T20:05:40.7702880Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_append_nested_2 PASSED [0.0056s] [ 95%] 2023-07-07T20:05:40.7703125Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_del PASSED [0.0052s] [ 95%] 2023-07-07T20:05:40.7703381Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_del_in_block PASSED [0.0059s] [ 95%] 2023-07-07T20:05:40.7703632Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_pop_in_block PASSED [0.0060s] [ 95%] 2023-07-07T20:05:40.7703887Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_pop_nested PASSED [0.0064s] [ 95%] 2023-07-07T20:05:40.7704135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_unpack PASSED [0.0054s] [ 95%] 2023-07-07T20:05:40.7704392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted PASSED [0.0084s] [ 95%] 2023-07-07T20:05:40.7704693Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_list_unpack_scripted_runs_without_error_with_constructed_list_as_input PASSED [0.0047s] [ 95%] 2023-07-07T20:05:40.7704932Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_log2 PASSED [0.0058s] [ 95%] 2023-07-07T20:05:40.7705174Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logdet PASSED [0.0070s] [ 95%] 2023-07-07T20:05:40.7705420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logical_and PASSED [0.0188s] [ 95%] 2023-07-07T20:05:40.7705688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logit PASSED [0.0388s] [ 95%] 2023-07-07T20:05:40.7705961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_logsoftmax_dim PASSED [0.0291s] [ 95%] 2023-07-07T20:05:40.7706211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_dynamic PASSED [0.0033s] [ 95%] 2023-07-07T20:05:40.7706490Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_nested PASSED [0.0031s] [ 95%] 2023-07-07T20:05:40.7706740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_transpose PASSED [0.0052s] [ 95%] 2023-07-07T20:05:40.7706983Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_loop_with_list PASSED [0.0047s] [ 95%] 2023-07-07T20:05:40.7707223Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm PASSED [0.0239s] [ 95%] 2023-07-07T20:05:40.7707482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_constant_folding PASSED [0.1265s] [ 95%] 2023-07-07T20:05:40.7707738Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_default_init_state PASSED [0.0281s] [ 95%] 2023-07-07T20:05:40.7708010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_fixed_batch_size PASSED [0.0291s] [ 95%] 2023-07-07T20:05:40.7708264Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_bias PASSED [0.1533s] [ 95%] 2023-07-07T20:05:40.7708515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_no_hidden PASSED [0.0364s] [ 95%] 2023-07-07T20:05:40.7708770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lstm_proj_no_hidden PASSED [0.0162s] [ 95%] 2023-07-07T20:05:40.7709017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_lt_scalar PASSED [0.0120s] [ 95%] 2023-07-07T20:05:40.7709267Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_masked_fill PASSED [0.0129s] [ 95%] 2023-07-07T20:05:40.7709520Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_masked_select PASSED [0.0080s] [ 95%] 2023-07-07T20:05:40.7709759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_matmul PASSED [0.0083s] [ 95%] 2023-07-07T20:05:40.7710008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_matmul_batch PASSED [0.0076s] [ 95%] 2023-07-07T20:05:40.7710250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_max_int PASSED [0.0059s] [ 95%] 2023-07-07T20:05:40.7710499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_max_tensors PASSED [0.0040s] [ 95%] 2023-07-07T20:05:40.7710750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_maximum_dtypes PASSED [0.0150s] [ 95%] 2023-07-07T20:05:40.7711020Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_meshgrid PASSED [0.0152s] [ 95%] 2023-07-07T20:05:40.7712602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_meshgrid_scalar PASSED [0.0151s] [ 95%] 2023-07-07T20:05:40.7712850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_minimum_dtypes PASSED [0.0160s] [ 95%] 2023-07-07T20:05:40.7713093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional PASSED [0.0072s] [ 95%] 2023-07-07T20:05:40.7713388Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor PASSED [0.0078s] [ 96%] 2023-07-07T20:05:40.7713708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_mixed_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) 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[ 96%] 2023-07-07T20:05:40.7719064Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_optional_output_LoopNoneInput_1 SKIPPED [0.0008s] (Skip verify test for torch trace.) [ 96%] 2023-07-07T20:05:40.7719332Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_dynamic_axes PASSED [0.0127s] [ 96%] 2023-07-07T20:05:40.7719592Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_circular_negative PASSED [0.0075s] [ 96%] 2023-07-07T20:05:40.7719850Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_list PASSED [0.0201s] [ 96%] 2023-07-07T20:05:40.7720116Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pad_types_scalar_tensor_list PASSED [0.0241s] [ 96%] 2023-07-07T20:05:40.7720372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_pairwise_distance PASSED [0.0114s] [ 96%] 2023-07-07T20:05:40.7720629Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_paste_mask_in_image PASSED [0.2388s] [ 96%] 2023-07-07T20:05:40.7720872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_prim_min PASSED [0.0354s] [ 96%] 2023-07-07T20:05:40.7721129Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_primitive_input_bool PASSED [0.0079s] [ 96%] 2023-07-07T20:05:40.7721401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0285s] [ 96%] 2023-07-07T20:05:40.7721708Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0195s] [ 96%] 2023-07-07T20:05:40.7721980Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_qat_conv2d_relu PASSED [0.0845s] [ 96%] 2023-07-07T20:05:40.7722242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_qat_linear_per_channel PASSED [0.0651s] [ 96%] 2023-07-07T20:05:40.7722740Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7723117Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7723197Z PASSED [0.0171s] [ 96%] 2023-07-07T20:05:40.7723703Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7724077Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7724159Z PASSED [0.0115s] [ 96%] 2023-07-07T20:05:40.7724572Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_scale PASSED [0.0154s] [ 96%] 2023-07-07T20:05:40.7724858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point PASSED [0.0150s] [ 96%] 2023-07-07T20:05:40.7725144Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_different_zero_point_and_scale PASSED [0.0154s] [ 96%] 2023-07-07T20:05:40.7725433Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_cat_when_concatinating_the_same_tensor PASSED [0.0143s] [ 96%] 2023-07-07T20:05:40.7725686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d PASSED [0.0393s] [ 96%] 2023-07-07T20:05:40.7725938Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv1d_relu PASSED [0.0386s] [ 96%] 2023-07-07T20:05:40.7726199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv2d_relu PASSED [0.0418s] [ 96%] 2023-07-07T20:05:40.7726463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose1d PASSED [0.0379s] [ 96%] 2023-07-07T20:05:40.7726727Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_conv_transpose3d PASSED [0.1095s] [ 96%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_instance_norm PASSED [0.0170s] [ 96%] 2023-07-07T20:05:40.7728456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_layer_norm PASSED [0.0241s] [ 96%] 2023-07-07T20:05:40.7728719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_leaky_relu PASSED [0.0141s] [ 96%] 2023-07-07T20:05:40.7728994Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_quantized_sigmoid PASSED [0.0153s] [ 96%] 2023-07-07T20:05:40.7729258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_sigmoid PASSED [0.0137s] [ 96%] 2023-07-07T20:05:40.7729515Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_quantized_unary_ops_transpose PASSED [0.0275s] [ 96%] 2023-07-07T20:05:40.7729795Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rand_dtype PASSED [0.0146s] [ 96%] 2023-07-07T20:05:40.7730043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rand_like PASSED [0.0162s] [ 96%] 2023-07-07T20:05:40.7730298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_randn_dynamic_size PASSED [0.0156s] [ 96%] 2023-07-07T20:05:40.7730554Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_randn_like_dtype PASSED [0.0098s] [ 96%] 2023-07-07T20:05:40.7730804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reduced_mean PASSED [0.0097s] [ 96%] 2023-07-07T20:05:40.7731050Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reduced_sum PASSED [0.0377s] [ 96%] 2023-07-07T20:05:40.7731293Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_relu_int PASSED [0.0038s] [ 96%] 2023-07-07T20:05:40.7731541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_remainder PASSED [0.0232s] [ 96%] 2023-07-07T20:05:40.7731784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_repeat PASSED [0.0108s] [ 96%] 2023-07-07T20:05:40.7732037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_repeat_interleave PASSED [0.0746s] [ 96%] 2023-07-07T20:05:40.7732566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reshape_allowzero SKIPPED [0.0002s] (Bug in ORT, skip test until rel-1.11.) [ 96%] 2023-07-07T20:05:40.7732859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reshape_constant_fold PASSED [0.0085s] [ 96%] 2023-07-07T20:05:40.7733157Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_reshape_different_rank PASSED [0.0079s] [ 96%] 2023-07-07T20:05:40.7733405Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_resize_images PASSED [0.0678s] [ 96%] 2023-07-07T20:05:40.7734014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7734395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7734738Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7734819Z PASSED [0.0841s] [ 96%] 2023-07-07T20:05:40.7735459Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7735801Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7736173Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7736693Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7736809Z PASSED [0.0900s] [ 96%] 2023-07-07T20:05:40.7737356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0619s] [ 96%] 2023-07-07T20:05:40.7738284Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7738807Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7739377Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7739494Z PASSED [0.0689s] [ 96%] 2023-07-07T20:05:40.7740418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7740967Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7741475Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7741987Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7742102Z PASSED [0.0692s] [ 96%] 2023-07-07T20:05:40.7742678Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0513s] [ 96%] 2023-07-07T20:05:40.7743600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7744106Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7744617Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7744720Z PASSED [0.0598s] [ 96%] 2023-07-07T20:05:40.7745250Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0445s] [ 96%] 2023-07-07T20:05:40.7746171Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7746688Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7747266Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7747382Z PASSED [0.0374s] [ 96%] 2023-07-07T20:05:40.7748302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7748861Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7749376Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7749882Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7749996Z PASSED [0.0376s] [ 96%] 2023-07-07T20:05:40.7750566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0260s] [ 96%] 2023-07-07T20:05:40.7751496Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7752012Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7752523Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7752639Z PASSED [0.0342s] [ 96%] 2023-07-07T20:05:40.7753566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7754080Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7754766Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7754880Z PASSED [0.0340s] [ 96%] 2023-07-07T20:05:40.7755835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7756379Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7756894Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7757395Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7757493Z PASSED [0.0346s] [ 96%] 2023-07-07T20:05:40.7758243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7758593Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7758926Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7759265Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7759344Z PASSED [0.0349s] [ 96%] 2023-07-07T20:05:40.7759707Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0234s] [ 96%] 2023-07-07T20:05:40.7760323Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7760662Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7761029Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7761108Z PASSED [0.0291s] [ 96%] 2023-07-07T20:05:40.7761739Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7762110Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7762450Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7762783Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7762860Z PASSED [0.0302s] [ 96%] 2023-07-07T20:05:40.7763502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7763850Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7764182Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7764652Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7764735Z PASSED [0.0293s] [ 96%] 2023-07-07T20:05:40.7765106Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0178s] [ 96%] 2023-07-07T20:05:40.7765716Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7766059Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7766447Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7766541Z PASSED [0.0303s] [ 96%] 2023-07-07T20:05:40.7767145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7767517Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7767857Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7767935Z PASSED [0.0304s] [ 96%] 2023-07-07T20:05:40.7768537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7768912Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7769252Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7769591Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7769672Z PASSED [0.0309s] [ 96%] 2023-07-07T20:05:40.7770027Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0196s] [ 96%] 2023-07-07T20:05:40.7770636Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7770975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7771318Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7771432Z PASSED [0.0251s] [ 96%] 2023-07-07T20:05:40.7772060Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7772401Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7772765Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7773106Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7773182Z PASSED [0.0255s] [ 96%] 2023-07-07T20:05:40.7773814Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7774159Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7774496Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7774574Z PASSED [0.0550s] [ 96%] 2023-07-07T20:05:40.7775166Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7775508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7775847Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7776186Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7776265Z PASSED [0.0537s] [ 96%] 2023-07-07T20:05:40.7776628Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0415s] [ 96%] 2023-07-07T20:05:40.7777295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7777660Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7777996Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7778073Z PASSED [0.0692s] [ 96%] 2023-07-07T20:05:40.7778686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7779049Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7779388Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7779468Z PASSED [0.0736s] [ 96%] 2023-07-07T20:05:40.7780080Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7780423Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7780757Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7781092Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7781169Z PASSED [0.0692s] [ 96%] 2023-07-07T20:05:40.7781532Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0447s] [ 96%] 2023-07-07T20:05:40.7781954Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0509s] [ 96%] 2023-07-07T20:05:40.7782578Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7782948Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7783280Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7783347Z PASSED [0.0446s] [ 96%] 2023-07-07T20:05:40.7783943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7784306Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7784649Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7784728Z PASSED [0.0680s] [ 96%] 2023-07-07T20:05:40.7785325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7785669Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7786009Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7786343Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7786423Z PASSED [0.0691s] [ 96%] 2023-07-07T20:05:40.7786779Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0538s] [ 96%] 2023-07-07T20:05:40.7787160Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0414s] [ 96%] 2023-07-07T20:05:40.7787798Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7788170Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7788508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7788585Z PASSED [0.0479s] [ 96%] 2023-07-07T20:05:40.7789186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7789555Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7789897Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7789974Z PASSED [0.0443s] [ 96%] 2023-07-07T20:05:40.7790581Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7790924Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7791261Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7791341Z PASSED [0.0297s] [ 96%] 2023-07-07T20:05:40.7791953Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7792349Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7792674Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7793016Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7793120Z PASSED [0.0463s] [ 96%] 2023-07-07T20:05:40.7793482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0288s] [ 96%] 2023-07-07T20:05:40.7794085Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7794427Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7794874Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7794957Z PASSED [0.0481s] [ 96%] 2023-07-07T20:05:40.7795313Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0317s] [ 96%] 2023-07-07T20:05:40.7795674Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0233s] [ 96%] 2023-07-07T20:05:40.7796036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1794s] [ 96%] 2023-07-07T20:05:40.7796651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7796992Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7797329Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7797434Z PASSED [0.1242s] [ 96%] 2023-07-07T20:05:40.7798071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7798438Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7798780Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7799117Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7799195Z PASSED [0.1109s] [ 96%] 2023-07-07T20:05:40.7799558Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0970s] [ 96%] 2023-07-07T20:05:40.7799949Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0970s] [ 96%] 2023-07-07T20:05:40.7800557Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7800897Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7801238Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7801306Z PASSED [0.0725s] [ 96%] 2023-07-07T20:05:40.7801909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7802250Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7802616Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7802985Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7803063Z PASSED [0.0737s] [ 96%] 2023-07-07T20:05:40.7803411Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0615s] [ 96%] 2023-07-07T20:05:40.7804040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7804502Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7804857Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7804937Z PASSED [0.0686s] [ 96%] 2023-07-07T20:05:40.7805580Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7805921Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7806257Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7806594Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7806673Z PASSED [0.0685s] [ 96%] 2023-07-07T20:05:40.7807570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7808087Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7808666Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7809210Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7809326Z PASSED [0.0726s] [ 96%] 2023-07-07T20:05:40.7809848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0556s] [ 96%] 2023-07-07T20:05:40.7810424Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0559s] [ 96%] 2023-07-07T20:05:40.7811352Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7811869Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7812413Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7812534Z PASSED [0.0546s] [ 96%] 2023-07-07T20:05:40.7813464Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7813975Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7814482Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7814595Z PASSED [0.0608s] [ 96%] 2023-07-07T20:05:40.7815512Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7816035Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7816579Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7817120Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7817237Z PASSED [0.0552s] [ 96%] 2023-07-07T20:05:40.7818163Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7818712Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7819220Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7819730Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7819846Z PASSED [0.0546s] [ 96%] 2023-07-07T20:05:40.7820809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7821332Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7821841Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7821959Z PASSED [0.0489s] [ 96%] 2023-07-07T20:05:40.7822889Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7823397Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7823906Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7824037Z PASSED [0.0491s] [ 96%] 2023-07-07T20:05:40.7824998Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7825508Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7826044Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7826557Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7826671Z PASSED [0.0490s] [ 96%] 2023-07-07T20:05:40.7827226Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0374s] [ 96%] 2023-07-07T20:05:40.7828243Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7828600Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7828941Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7829023Z PASSED [0.0414s] [ 96%] 2023-07-07T20:05:40.7829625Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7829968Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7830303Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7830642Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7830751Z PASSED [0.0410s] [ 96%] 2023-07-07T20:05:40.7831127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0297s] [ 96%] 2023-07-07T20:05:40.7831483Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0298s] [ 96%] 2023-07-07T20:05:40.7832132Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7832478Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7832812Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7832891Z PASSED [0.0361s] [ 96%] 2023-07-07T20:05:40.7833517Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7833865Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7834190Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7834530Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7834687Z PASSED [0.0367s] [ 96%] 2023-07-07T20:05:40.7835058Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0275s] [ 96%] 2023-07-07T20:05:40.7835668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7836009Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7836406Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7836484Z PASSED [0.1858s] [ 96%] 2023-07-07T20:05:40.7837090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7837459Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7837796Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7838133Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7838212Z PASSED [0.1216s] [ 96%] 2023-07-07T20:05:40.7838848Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7839193Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7839526Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7839605Z PASSED [0.1159s] [ 96%] 2023-07-07T20:05:40.7840213Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7840552Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7840891Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7841230Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7841335Z PASSED [0.1160s] [ 96%] 2023-07-07T20:05:40.7841970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7842335Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7842657Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7842992Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7843069Z PASSED [0.0765s] [ 96%] 2023-07-07T20:05:40.7843418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0839s] [ 96%] 2023-07-07T20:05:40.7844051Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7844575Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7844917Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7844998Z PASSED [0.0720s] [ 96%] 2023-07-07T20:05:40.7845600Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7845941Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7846281Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7846671Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7846750Z PASSED [0.0727s] [ 96%] 2023-07-07T20:05:40.7847140Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0613s] [ 96%] 2023-07-07T20:05:40.7847497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0417s] [ 96%] 2023-07-07T20:05:40.7847896Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0437s] [ 96%] 2023-07-07T20:05:40.7848505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7848849Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7849222Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7849304Z PASSED [0.0674s] [ 96%] 2023-07-07T20:05:40.7849663Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0390s] [ 96%] 2023-07-07T20:05:40.7850030Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0383s] [ 96%] 2023-07-07T20:05:40.7850630Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7850976Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7851308Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7851375Z PASSED [0.0405s] [ 96%] 2023-07-07T20:05:40.7851971Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7852374Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7852711Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7853077Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7853158Z PASSED [0.0405s] [ 96%] 2023-07-07T20:05:40.7853511Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0288s] [ 96%] 2023-07-07T20:05:40.7854107Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7854474Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7854811Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7855143Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7855223Z PASSED [0.0352s] [ 96%] 2023-07-07T20:05:40.7855710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7856048Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7856381Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7856721Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7857092Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7857453Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7857784Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7858150Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7858483Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7858817Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7859136Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7859500Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7859832Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7860173Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7860251Z PASSED [0.1448s] [ 96%] 2023-07-07T20:05:40.7860502Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_roi_align PASSED [0.0108s] [ 96%] 2023-07-07T20:05:40.7860763Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_roi_align_aligned PASSED [0.0635s] [ 96%] 2023-07-07T20:05:40.7861010Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_round PASSED [0.0057s] [ 96%] 2023-07-07T20:05:40.7861254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rpn PASSED [1.6002s] [ 96%] 2023-07-07T20:05:40.7861505Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_rsqrt_zeros PASSED [0.0079s] [ 96%] 2023-07-07T20:05:40.7861750Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_scalar_type PASSED [0.0692s] [ 96%] 2023-07-07T20:05:40.7861995Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_scatter_add PASSED [0.0166s] [ 96%] 2023-07-07T20:05:40.7862305Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_scatter_add_different_size_index_src PASSED [0.0084s] [ 96%] 2023-07-07T20:05:40.7862579Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_select_negative_index PASSED [0.0085s] [ 96%] 2023-07-07T20:05:40.7862844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_sequance_loopcarried PASSED [0.0079s] [ 96%] 2023-07-07T20:05:40.7863095Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_sequence_to_int PASSED [0.0074s] [ 96%] 2023-07-07T20:05:40.7863365Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_set_attr PASSED [0.0081s] [ 96%] 2023-07-07T20:05:40.7863612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_set_attr_3 PASSED [0.0104s] [ 96%] 2023-07-07T20:05:40.7863872Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_set_attr_modules_2 PASSED [0.0440s] [ 96%] 2023-07-07T20:05:40.7864139Z 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2023-07-07T20:05:40.7885799Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_var_mean_mixed_dims PASSED [0.0276s] [ 97%] 2023-07-07T20:05:40.7886152Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_view PASSED [0.0070s] [ 97%] 2023-07-07T20:05:40.7886533Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_weight_norm PASSED [0.0522s] [ 97%] 2023-07-07T20:05:40.7886920Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_weight_norm_nodim PASSED [0.0179s] [ 97%] 2023-07-07T20:05:40.7887282Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_where PASSED [0.0061s] [ 97%] 2023-07-07T20:05:40.7887671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_where_with_byte_tensor PASSED [0.0064s] [ 97%] 2023-07-07T20:05:40.7888070Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_LSTM PASSED [0.1514s] [ 97%] 2023-07-07T20:05:40.7888546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_RELU PASSED [0.0705s] [ 97%] 2023-07-07T20:05:40.7888987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_word_language_model_RNN_TANH PASSED [0.0705s] [ 97%] 2023-07-07T20:05:40.7889382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_True::test_zeros_ones_with_tensor_input PASSED [0.0201s] [ 97%] 2023-07-07T20:05:40.7889754Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test__dim_arange PASSED [0.0163s] [ 97%] 2023-07-07T20:05:40.7890168Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_add_inplace PASSED [0.0102s] [ 97%] 2023-07-07T20:05:40.7890542Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_addcmul PASSED [0.0105s] [ 97%] 2023-07-07T20:05:40.7890891Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_all PASSED [0.0187s] [ 97%] 2023-07-07T20:05:40.7891287Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_all_optional_default_none PASSED [0.0062s] [ 97%] 2023-07-07T20:05:40.7891655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_aminmax PASSED [0.0091s] [ 97%] 2023-07-07T20:05:40.7892031Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_and_or_xor PASSED [0.0087s] [ 97%] 2023-07-07T20:05:40.7892452Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_dynamic PASSED [0.0284s] [ 97%] 2023-07-07T20:05:40.7892842Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_no_type PASSED [0.0120s] [ 97%] 2023-07-07T20:05:40.7893231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end PASSED [0.0179s] [ 97%] 2023-07-07T20:05:40.7893639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_start_end_step_notype PASSED [0.0208s] [ 97%] 2023-07-07T20:05:40.7894022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_start_out PASSED [0.0265s] [ 97%] 2023-07-07T20:05:40.7901216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats PASSED [0.0677s] [ 97%] 2023-07-07T20:05:40.7901568Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arange_with_floats_override PASSED [0.0224s] [ 97%] 2023-07-07T20:05:40.7901856Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_argmin_argmax_select_last_index PASSED [0.0315s] [ 97%] 2023-07-07T20:05:40.7902113Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic PASSED [0.0131s] [ 97%] 2023-07-07T20:05:40.7902420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmeticOps_with_low_precision SKIPPED [0.0010s] (Unsupported opset_version: 17 > 13) [ 97%] 2023-07-07T20:05:40.7902762Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_infer_dtype PASSED [0.0037s] [ 97%] 2023-07-07T20:05:40.7903053Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_bool PASSED [0.0115s] [ 97%] 2023-07-07T20:05:40.7903317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_float PASSED [0.0207s] [ 97%] 2023-07-07T20:05:40.7903575Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_arithmetic_prim_long PASSED [0.0233s] [ 97%] 2023-07-07T20:05:40.7904242Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0065s] [ 97%] 2023-07-07T20:05:40.7904808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0051s] [ 97%] 2023-07-07T20:05:40.7905353Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7905465Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0049s] [ 97%] 2023-07-07T20:05:40.7906071Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7906229Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7906376Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7906527Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7906538Z 2023-07-07T20:05:40.7906615Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7906760Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7906906Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7907057Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7907066Z 2023-07-07T20:05:40.7907214Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7907358Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7907504Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7907657Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7907664Z 2023-07-07T20:05:40.7907668Z 2023-07-07T20:05:40.7907810Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7907941Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7908089Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7908238Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7908244Z 2023-07-07T20:05:40.7908389Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7908531Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7908676Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7908825Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7908830Z 2023-07-07T20:05:40.7908916Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7909049Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7909220Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7909413Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0048s] [ 97%] 2023-07-07T20:05:40.7909987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor(1_) PASSED [0.0062s] [ 97%] 2023-07-07T20:05:40.7910547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0058s] [ 97%] 2023-07-07T20:05:40.7911115Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7911229Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0048s] [ 97%] 2023-07-07T20:05:40.7911784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([0_0461, 0_4024]) PASSED [0.0170s] [ 97%] 2023-07-07T20:05:40.7912319Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[-1_0115, 0_2167, -0_6123], 2023-07-07T20:05:40.7912432Z [ 0_5036, 0_2310, 0_6931]]) PASSED [0.0116s] [ 97%] 2023-07-07T20:05:40.7913020Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_atleast_nd_single_tensor_input_module_class__inputs_tensor([[[[-0_2833, -0_5660, 0_3566, -0_4535, -0_2971], 2023-07-07T20:05:40.7913171Z [-1_5380, -1_0248, -0_3781, 0_3910, 0_5158], 2023-07-07T20:05:40.7913308Z [-1_0042, 0_9860, 1_1334, 0_8504, 1_0534], 2023-07-07T20:05:40.7913456Z [ 0_3692, -0_0552, -0_6125, 0_7500, -0_7346]], 2023-07-07T20:05:40.7913462Z 2023-07-07T20:05:40.7913548Z [[ 0_4622, 1_1759, 0_2145, 0_5362, 0_1365], 2023-07-07T20:05:40.7913693Z [-2_3332, 1_5308, 0_2680, 0_4505, -0_2725], 2023-07-07T20:05:40.7913838Z [-1_7399, 0_1299, -0_5630, -0_2829, 0_0731], 2023-07-07T20:05:40.7913989Z [-1_3880, -0_2678, -0_1254, -1_5038, -0_3287]], 2023-07-07T20:05:40.7913995Z 2023-07-07T20:05:40.7914140Z [[ 0_4360, -1_4770, -1_2222, -0_2746, -0_3450], 2023-07-07T20:05:40.7914286Z [-0_7162, 0_5781, 0_3805, -1_4538, -2_6740], 2023-07-07T20:05:40.7914422Z [ 1_5984, 0_8021, -0_3511, -0_0670, -0_0534], 2023-07-07T20:05:40.7914571Z [-0_8315, 1_4689, 1_2647, -0_2753, -0_1325]]], 2023-07-07T20:05:40.7914577Z 2023-07-07T20:05:40.7914581Z 2023-07-07T20:05:40.7914816Z [[[ 0_1062, 0_0924, -1_1821, 0_2129, 0_1549], 2023-07-07T20:05:40.7914962Z [-0_6526, 0_7180, -0_4495, -0_7186, 0_6839], 2023-07-07T20:05:40.7915108Z [-0_3458, 0_1858, -0_1584, 1_3226, -2_6796], 2023-07-07T20:05:40.7915256Z [-0_1297, -0_6920, 1_1864, 0_2745, -0_3388]], 2023-07-07T20:05:40.7915262Z 2023-07-07T20:05:40.7915404Z [[-0_1225, 0_8078, -1_1421, 2_0506, -0_1523], 2023-07-07T20:05:40.7915550Z [-0_7381, -0_7189, 0_7937, -1_6121, 0_4752], 2023-07-07T20:05:40.7915694Z [ 0_5868, -0_2878, -0_3234, 1_7023, 0_5865], 2023-07-07T20:05:40.7915829Z [-0_6212, 0_8562, -0_3635, -0_1552, -1_2282]], 2023-07-07T20:05:40.7915834Z 2023-07-07T20:05:40.7915954Z [[ 1_2445, 1_1750, 0_9716, 0_7738, 0_1123], 2023-07-07T20:05:40.7916100Z [-0_6601, -0_6243, -0_7416, 0_3422, -0_2873], 2023-07-07T20:05:40.7916242Z [-0_6726, 0_8843, 0_7211, 0_2214, -0_2737], 2023-07-07T20:05:40.7916434Z [ 0_8612, -0_0609, 2_1073, -0_9930, 1_4080]]]]) PASSED [0.0055s] [ 97%] 2023-07-07T20:05:40.7916718Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_auto_grad PASSED [0.0115s] [ 97%] 2023-07-07T20:05:40.7916970Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool PASSED [0.0161s] [ 97%] 2023-07-07T20:05:40.7917304Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_False_count_include_pad_False PASSED [0.0182s] [ 97%] 2023-07-07T20:05:40.7917604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_0_ceil_mode_True_count_include_pad_True PASSED [0.0170s] [ 97%] 2023-07-07T20:05:40.7917904Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_False PASSED [0.0175s] [ 97%] 2023-07-07T20:05:40.7918186Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_False_count_include_pad_True PASSED [0.0183s] [ 97%] 2023-07-07T20:05:40.7918476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_avgpool_2d_padding_1_ceil_mode_True_count_include_pad_True PASSED [0.0183s] [ 97%] 2023-07-07T20:05:40.7918752Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batched_nms PASSED [0.0282s] [ 97%] 2023-07-07T20:05:40.7919017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_noaffine PASSED [0.0190s] [ 97%] 2023-07-07T20:05:40.7919289Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm1d_norunningstats PASSED [0.0318s] [ 97%] 2023-07-07T20:05:40.7919546Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm2d_noaffine PASSED [0.0198s] [ 97%] 2023-07-07T20:05:40.7919806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm3d_noaffine PASSED [0.1564s] [ 97%] 2023-07-07T20:05:40.7920078Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_eval_mode_train_layer PASSED [0.1381s] [ 97%] 2023-07-07T20:05:40.7920336Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training PASSED [0.1056s] [ 97%] 2023-07-07T20:05:40.7920613Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_batchnorm_training_mode_fix_layer PASSED [0.1607s] [ 97%] 2023-07-07T20:05:40.7920861Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_bernoulli PASSED [0.0169s] [ 97%] 2023-07-07T20:05:40.7921132Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_bilinear_padding_mode_zeros_False PASSED [0.0322s] [ 98%] 2023-07-07T20:05:40.7940387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_reflection_False PASSED [0.0341s] [ 98%] 2023-07-07T20:05:40.7940679Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_grid_sample_mode_nearest_padding_mode_zeros_True PASSED [0.0347s] [ 98%] 2023-07-07T20:05:40.7940931Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_gt_primitive PASSED [0.0046s] [ 98%] 2023-07-07T20:05:40.7941179Z 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_hardtanh PASSED [0.0056s] [ 98%] 2023-07-07T20:05:40.7942692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_if_transpose PASSED [0.0054s] [ 98%] 2023-07-07T20:05:40.7942935Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_im2col PASSED [0.0874s] [ 98%] 2023-07-07T20:05:40.7943212Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_1d PASSED [0.0060s] [ 98%] 2023-07-07T20:05:40.7943497Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_2d_1dimslice PASSED [0.0085s] [ 98%] 2023-07-07T20:05:40.7943755Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_2d_sliceint PASSED [0.0061s] [ 98%] 2023-07-07T20:05:40.7944017Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_dim_size_differ PASSED [0.0101s] [ 98%] 2023-07-07T20:05:40.7944303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_dynamic_axes PASSED [0.0127s] [ 98%] 2023-07-07T20:05:40.7944559Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_in_loop PASSED [0.0256s] [ 98%] 2023-07-07T20:05:40.7944813Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_add_normal PASSED [0.0306s] [ 98%] 2023-07-07T20:05:40.7945072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_accumulate PASSED [0.0110s] [ 98%] 2023-07-07T20:05:40.7945320Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_if PASSED [0.1554s] [ 98%] 2023-07-07T20:05:40.7945555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_2 PASSED [0.2764s] [ 98%] 2023-07-07T20:05:40.7945829Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_if_3 PASSED [0.0777s] [ 98%] 2023-07-07T20:05:40.7946090Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_index_put_inplace_ops PASSED [0.1214s] [ 98%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_fill PASSED [0.0099s] [ 98%] 2023-07-07T20:05:40.7948205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_sequence_with_loop PASSED [0.0126s] [ 98%] 2023-07-07T20:05:40.7948590Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop PASSED [0.0053s] [ 98%] 2023-07-07T20:05:40.7948982Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_with_loop_2 PASSED [0.0068s] [ 98%] 2023-07-07T20:05:40.7949367Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_inplace_zero_qkv PASSED [0.0098s] [ 98%] 2023-07-07T20:05:40.7949781Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_input_mask_model PASSED [0.0526s] [ 98%] 2023-07-07T20:05:40.7950216Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_instancenorm1d_norunningstats PASSED [0.0199s] [ 98%] 2023-07-07T20:05:40.7950638Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_instancenorm_training_mode_fix_layer PASSED [0.1555s] [ 98%] 2023-07-07T20:05:40.7951094Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_adaptive_pooling_error PASSED [0.0203s] [ 98%] 2023-07-07T20:05:40.7951516Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_function_substitution PASSED [0.0243s] [ 98%] 2023-07-07T20:05:40.7951921Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_half_pixel PASSED [0.0798s] [ 98%] 2023-07-07T20:05:40.7952318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample PASSED [0.2720s] [ 98%] 2023-07-07T20:05:40.7952789Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_interpolate_upsample_trace SKIPPED [0.0013s] (Unsupported opset_version: 17 > 8) [ 98%] 2023-07-07T20:05:40.7953165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_isfinite PASSED [0.0076s] [ 98%] 2023-07-07T20:05:40.7953564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_isinf PASSED [0.0057s] [ 98%] 2023-07-07T20:05:40.7953933Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_isnan PASSED [0.0050s] [ 98%] 2023-07-07T20:05:40.7954303Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_item PASSED [0.0076s] [ 98%] 2023-07-07T20:05:40.7954743Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_le PASSED [0.0171s] [ 98%] 2023-07-07T20:05:40.7955097Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_len PASSED [0.0032s] [ 98%] 2023-07-07T20:05:40.7955463Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lerp PASSED [0.0480s] [ 98%] 2023-07-07T20:05:40.7955843Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linalg_cross PASSED [0.0420s] [ 98%] 2023-07-07T20:05:40.7956236Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm PASSED [0.1298s] [ 98%] 2023-07-07T20:05:40.7956633Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linalg_vector_norm_zero PASSED [0.0075s] [ 98%] 2023-07-07T20:05:40.7957005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linear PASSED [0.0149s] [ 98%] 2023-07-07T20:05:40.7957412Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_linspace_negative_start PASSED [0.0088s] [ 98%] 2023-07-07T20:05:40.7957808Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list PASSED [0.0042s] [ 98%] 2023-07-07T20:05:40.7958215Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append PASSED [0.0054s] [ 98%] 2023-07-07T20:05:40.7958612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_block PASSED [0.0051s] [ 98%] 2023-07-07T20:05:40.7959011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_in_nested_block PASSED [0.0052s] [ 98%] 2023-07-07T20:05:40.7959430Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested PASSED [0.0053s] [ 98%] 2023-07-07T20:05:40.7959824Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_2 PASSED [0.0055s] [ 98%] 2023-07-07T20:05:40.7960228Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_append_nested_mixed_dtype PASSED [0.0052s] [ 98%] 2023-07-07T20:05:40.7960607Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_idx_sum PASSED [0.0052s] [ 98%] 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onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_list_unpack_slice_scripted PASSED [0.0085s] [ 98%] 2023-07-07T20:05:40.7963022Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log PASSED [0.0045s] [ 98%] 2023-07-07T20:05:40.7963390Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log10 PASSED [0.0051s] [ 98%] 2023-07-07T20:05:40.7963759Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log1p PASSED [0.0050s] [ 98%] 2023-07-07T20:05:40.7964124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_log2 PASSED [0.0046s] [ 98%] 2023-07-07T20:05:40.7964604Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax PASSED [0.0179s] [ 98%] 2023-07-07T20:05:40.7964993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_logsoftmax_dtype PASSED [0.0062s] [ 98%] 2023-07-07T20:05:40.7965358Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_loop_nested PASSED [0.0047s] [ 98%] 2023-07-07T20:05:40.7965748Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_loop_transpose PASSED [0.0079s] [ 98%] 2023-07-07T20:05:40.7966178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_2 PASSED [0.0056s] [ 98%] 2023-07-07T20:05:40.7966595Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lower_tuple_3 PASSED [0.0150s] [ 98%] 2023-07-07T20:05:40.7966961Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm PASSED [0.0327s] [ 98%] 2023-07-07T20:05:40.7967355Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_default_init_state PASSED [0.0385s] [ 98%] 2023-07-07T20:05:40.7967776Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_no_hidden PASSED [0.0387s] [ 98%] 2023-07-07T20:05:40.7968172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_post_fix_init_state PASSED [0.0426s] [ 98%] 2023-07-07T20:05:40.7968570Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_proj_no_hidden PASSED [0.0163s] [ 98%] 2023-07-07T20:05:40.7968841Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_lstm_sequence PASSED [0.1148s] [ 98%] 2023-07-07T20:05:40.7969089Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_masked_fill PASSED [0.0170s] [ 98%] 2023-07-07T20:05:40.7969391Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_masked_fill_inplace PASSED [0.0078s] [ 98%] 2023-07-07T20:05:40.7969631Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_masked_select PASSED [0.0103s] [ 98%] 2023-07-07T20:05:40.7969877Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_matmul PASSED [0.0106s] [ 98%] 2023-07-07T20:05:40.7970119Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_max_int PASSED [0.0083s] [ 98%] 2023-07-07T20:05:40.7970364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_max_tensors PASSED [0.0056s] [ 98%] 2023-07-07T20:05:40.7970618Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maximum_minimum PASSED [0.0066s] [ 98%] 2023-07-07T20:05:40.7970859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool PASSED [0.0087s] [ 98%] 2023-07-07T20:05:40.7971111Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_1d_ceil PASSED [0.0089s] [ 98%] 2023-07-07T20:05:40.7971364Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_2d_ceil PASSED [0.0198s] [ 98%] 2023-07-07T20:05:40.7971614Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_3d_ceil PASSED [0.5387s] [ 98%] 2023-07-07T20:05:40.7971874Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_maxpool_dilation PASSED [0.0097s] [ 98%] 2023-07-07T20:05:40.7972124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_meshgrid PASSED [0.0196s] [ 98%] 2023-07-07T20:05:40.7972399Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_min_int PASSED [0.0085s] [ 98%] 2023-07-07T20:05:40.7972655Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_mish PASSED [0.0065s] [ 98%] 2023-07-07T20:05:40.7972909Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_mixed_optional PASSED [0.0095s] [ 98%] 2023-07-07T20:05:40.7973150Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_movedim PASSED [0.0169s] [ 98%] 2023-07-07T20:05:40.7973420Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_mul_bool PASSED [0.0147s] [ 98%] 2023-07-07T20:05:40.7973719Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_multi_scale_roi_align SKIPPED [0.0013s] (Unsupported opset_version: 17 > 15) [ 98%] 2023-07-07T20:05:40.7973969Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_multinomial PASSED [0.0125s] [ 98%] 2023-07-07T20:05:40.7974217Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_narrow_dynamic PASSED [0.0124s] [ 98%] 2023-07-07T20:05:40.7974476Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_input PASSED [0.0085s] [ 98%] 2023-07-07T20:05:40.7974765Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nested_tuple_output PASSED [0.0066s] [ 98%] 2023-07-07T20:05:40.7975014Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_new_empty PASSED [0.0337s] [ 98%] 2023-07-07T20:05:40.7975258Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_new_full PASSED [0.0311s] [ 98%] 2023-07-07T20:05:40.7975503Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_new_ones PASSED [0.0213s] [ 98%] 2023-07-07T20:05:40.7975744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss PASSED [0.0129s] [ 98%] 2023-07-07T20:05:40.7976012Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_mean_ignore_index_weights PASSED [0.0201s] [ 98%] 2023-07-07T20:05:40.7976269Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss_2d_sum PASSED [0.0203s] [ 98%] 2023-07-07T20:05:40.7976534Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nllloss_dynamic_ignore_index PASSED [0.0174s] [ 98%] 2023-07-07T20:05:40.7976770Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nms PASSED [0.0143s] [ 98%] 2023-07-07T20:05:40.7977040Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_nn_init_normal_correctness PASSED [0.0177s] [ 98%] 2023-07-07T20:05:40.7977295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_norm_with_dtype PASSED [0.0089s] [ 98%] 2023-07-07T20:05:40.7977538Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_numel PASSED [0.0082s] [ 98%] 2023-07-07T20:05:40.7977810Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_numpy_T PASSED [0.0053s] [ 98%] 2023-07-07T20:05:40.7978145Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneInput_0 SKIPPED [0.0012s] (Skip verify test for torch trace.) [ 98%] 2023-07-07T20:05:40.7978456Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_IfNoneOutput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 98%] 2023-07-07T20:05:40.7978793Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneInput_0 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 98%] 2023-07-07T20:05:40.7979104Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_0 SKIPPED [0.0013s] (Skip verify test for torch trace.) [ 98%] 2023-07-07T20:05:40.7979418Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_optional_output_LoopNoneOutput_1 SKIPPED [0.0011s] (Skip verify test for torch trace.) [ 98%] 2023-07-07T20:05:40.7979656Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_outer PASSED [0.0217s] [ 98%] 2023-07-07T20:05:40.7979894Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_circular PASSED [0.0162s] [ 98%] 2023-07-07T20:05:40.7980181Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_dynamic_axes PASSED [0.0165s] [ 98%] 2023-07-07T20:05:40.7980445Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_circular_negative PASSED [0.0097s] [ 98%] 2023-07-07T20:05:40.7980688Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_int PASSED [0.0159s] [ 98%] 2023-07-07T20:05:40.7980945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_list PASSED [0.0196s] [ 98%] 2023-07-07T20:05:40.7981211Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pad_types_scalar_tensor_list PASSED [0.0151s] [ 98%] 2023-07-07T20:05:40.7981460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pixel_shuffle PASSED [0.0114s] [ 98%] 2023-07-07T20:05:40.7981699Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_pow PASSED [0.0396s] [ 98%] 2023-07-07T20:05:40.7981940Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_prelu PASSED [0.0072s] [ 98%] 2023-07-07T20:05:40.7982187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_prelu_scalar PASSED [0.0060s] [ 98%] 2023-07-07T20:05:40.7982429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_prim_min PASSED [0.0327s] [ 98%] 2023-07-07T20:05:40.7982692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_primitive_input_bool PASSED [0.0075s] [ 98%] 2023-07-07T20:05:40.7983011Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_complex64 PASSED [0.0272s] [ 98%] 2023-07-07T20:05:40.7983317Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_print_tensor_within_torch_nn_module_float32 PASSED [0.0180s] [ 98%] 2023-07-07T20:05:40.7983564Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_qat_conv2d PASSED [0.0758s] [ 98%] 2023-07-07T20:05:40.7984065Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_qat_relu [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7984446Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7984528Z PASSED [0.0224s] [ 98%] 2023-07-07T20:05:40.7985036Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantize_per_tensor [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7985416Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::TupleConstruct type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7985499Z PASSED [0.0159s] [ 98%] 2023-07-07T20:05:40.7985769Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_adaptive_avg_pool2d PASSED [0.0187s] [ 98%] 2023-07-07T20:05:40.7986039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_scale PASSED [0.0221s] [ 98%] 2023-07-07T20:05:40.7986297Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_cat_different_shape PASSED [0.0383s] [ 98%] 2023-07-07T20:05:40.7986553Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d PASSED [0.0571s] [ 98%] 2023-07-07T20:05:40.7986820Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv1d_relu PASSED [0.0539s] [ 98%] 2023-07-07T20:05:40.7987081Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv2d_relu PASSED [0.0575s] [ 98%] 2023-07-07T20:05:40.7987325Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_conv3d_relu PASSED [0.0572s] [ 98%] 2023-07-07T20:05:40.7987712Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_list_of_inputs_with_cat SKIPPED [0.0002s] (ORT fails with Validating no unexpected access using an invalid node_index on torch converted model) [ 98%] 2023-07-07T20:05:40.7987987Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_as_strided PASSED [0.0227s] [ 98%] 2023-07-07T20:05:40.7988286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_hardsigmoid PASSED [0.0200s] [ 98%] 2023-07-07T20:05:40.7988585Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_instance_norm PASSED [0.0253s] [ 98%] 2023-07-07T20:05:40.7988871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_quantized_leaky_relu PASSED [0.0227s] [ 98%] 2023-07-07T20:05:40.7989133Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_relu PASSED [0.0181s] [ 98%] 2023-07-07T20:05:40.7989429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_select PASSED [0.0163s] [ 98%] 2023-07-07T20:05:40.7989698Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_quantized_unary_ops_sigmoid PASSED [0.0188s] [ 98%] 2023-07-07T20:05:40.7989939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rand PASSED [0.0116s] [ 98%] 2023-07-07T20:05:40.7990187Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rand_dtype PASSED [0.0141s] [ 98%] 2023-07-07T20:05:40.7990429Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rand_like PASSED [0.0163s] [ 98%] 2023-07-07T20:05:40.7990696Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_randn PASSED [0.0119s] [ 98%] 2023-07-07T20:05:40.7990956Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_randn_dynamic_size PASSED [0.0155s] [ 98%] 2023-07-07T20:05:40.7991193Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reciprocal PASSED [0.0137s] [ 98%] 2023-07-07T20:05:40.7991446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reduce_log_sum_exp PASSED [0.0102s] [ 98%] 2023-07-07T20:05:40.7991695Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reduced_mean PASSED [0.0132s] [ 98%] 2023-07-07T20:05:40.7991943Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reduced_sum PASSED [0.0524s] [ 98%] 2023-07-07T20:05:40.7992191Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_remainder PASSED [0.0281s] [ 98%] 2023-07-07T20:05:40.7992435Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_repeat PASSED [0.0109s] [ 98%] 2023-07-07T20:05:40.7992697Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_repeat_interleave_noop PASSED [0.0105s] [ 98%] 2023-07-07T20:05:40.7992955Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_reshape_constant_fold PASSED [0.0059s] [ 98%] 2023-07-07T20:05:40.7993206Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_resize_images PASSED [0.0575s] [ 98%] 2023-07-07T20:05:40.7993844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7994220Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7994591Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7994783Z PASSED [0.0763s] [ 98%] 2023-07-07T20:05:40.7995404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7995749Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7996123Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7996204Z PASSED [0.0759s] [ 98%] 2023-07-07T20:05:40.7996556Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0543s] [ 98%] 2023-07-07T20:05:40.7997172Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7997517Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7997859Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7998195Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.7998271Z PASSED [0.0486s] [ 98%] 2023-07-07T20:05:40.7998641Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0361s] [ 98%] 2023-07-07T20:05:40.7999035Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0364s] [ 98%] 2023-07-07T20:05:40.7999657Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8000027Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8000364Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8000703Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8000818Z PASSED [0.0436s] [ 98%] 2023-07-07T20:05:40.8001176Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0314s] [ 98%] 2023-07-07T20:05:40.8001807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8002154Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8002492Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8002831Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8002911Z PASSED [0.0383s] [ 98%] 2023-07-07T20:05:40.8003266Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0263s] [ 98%] 2023-07-07T20:05:40.8003620Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0260s] [ 98%] 2023-07-07T20:05:40.8004230Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8004798Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8005139Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8005249Z PASSED [0.0343s] [ 98%] 2023-07-07T20:05:40.8005844Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8006184Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8006522Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8006896Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8006977Z PASSED [0.0343s] [ 98%] 2023-07-07T20:05:40.8007589Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8007930Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8008267Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8008604Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8008680Z PASSED [0.0344s] [ 98%] 2023-07-07T20:05:40.8009043Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0235s] [ 98%] 2023-07-07T20:05:40.8009692Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8010063Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8010398Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8010503Z PASSED [0.0295s] [ 98%] 2023-07-07T20:05:40.8011114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8011456Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8011793Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8011898Z PASSED [0.0303s] [ 99%] 2023-07-07T20:05:40.8012506Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8012845Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8013185Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8013520Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8013598Z PASSED [0.0311s] [ 99%] 2023-07-07T20:05:40.8013939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0199s] [ 99%] 2023-07-07T20:05:40.8014298Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0196s] [ 99%] 2023-07-07T20:05:40.8014928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8015294Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8015667Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8015779Z PASSED [0.0260s] [ 99%] 2023-07-07T20:05:40.8016704Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8017212Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8017753Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8017869Z PASSED [0.0257s] [ 99%] 2023-07-07T20:05:40.8018784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8019299Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8019811Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8020323Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8020439Z PASSED [0.0261s] [ 99%] 2023-07-07T20:05:40.8021356Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8021869Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8022441Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8022949Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8023094Z PASSED [0.0258s] [ 99%] 2023-07-07T20:05:40.8023637Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_relu_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0144s] [ 99%] 2023-07-07T20:05:40.8024567Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8025082Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8025656Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8025761Z PASSED [0.0533s] [ 99%] 2023-07-07T20:05:40.8026686Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8027200Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8027715Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8028229Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8028343Z PASSED [0.0549s] [ 99%] 2023-07-07T20:05:40.8029271Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8029822Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8030357Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8030869Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8031013Z PASSED [0.0534s] [ 99%] 2023-07-07T20:05:40.8031569Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0418s] [ 99%] 2023-07-07T20:05:40.8032507Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8033021Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8033562Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8033678Z PASSED [0.0487s] [ 99%] 2023-07-07T20:05:40.8034602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8035178Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8035689Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8036205Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8036320Z PASSED [0.0489s] [ 99%] 2023-07-07T20:05:40.8037165Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8037558Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8037921Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8038001Z PASSED [0.0428s] [ 99%] 2023-07-07T20:05:40.8038596Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8038959Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8039302Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8039380Z PASSED [0.0427s] [ 99%] 2023-07-07T20:05:40.8039737Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0315s] [ 99%] 2023-07-07T20:05:40.8040372Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8040714Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8041051Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8041391Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8041469Z PASSED [0.0382s] [ 99%] 2023-07-07T20:05:40.8041825Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0263s] [ 99%] 2023-07-07T20:05:40.8042178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0264s] [ 99%] 2023-07-07T20:05:40.8042809Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8043180Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8043513Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8043619Z PASSED [0.0344s] [ 99%] 2023-07-07T20:05:40.8044231Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8044714Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8045056Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8045451Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8045530Z PASSED [0.0348s] [ 99%] 2023-07-07T20:05:40.8046147Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8046490Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8046824Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8047159Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8047224Z PASSED [0.0350s] [ 99%] 2023-07-07T20:05:40.8047839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8048253Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8048591Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8048927Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8049040Z PASSED [0.0296s] [ 99%] 2023-07-07T20:05:40.8049408Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0180s] [ 99%] 2023-07-07T20:05:40.8049785Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0183s] [ 99%] 2023-07-07T20:05:40.8050415Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8050760Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8051098Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8051175Z PASSED [0.0314s] [ 99%] 2023-07-07T20:05:40.8051782Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8052127Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8052468Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8052809Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8052888Z PASSED [0.0327s] [ 99%] 2023-07-07T20:05:40.8053518Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8053878Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8054244Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8054325Z PASSED [0.0275s] [ 99%] 2023-07-07T20:05:40.8054925Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8055265Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8055626Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8055964Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8056032Z PASSED [0.0271s] [ 99%] 2023-07-07T20:05:40.8056387Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0152s] [ 99%] 2023-07-07T20:05:40.8056744Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_elman_nonlinearity_tanh_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0150s] [ 99%] 2023-07-07T20:05:40.8057354Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8057698Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8058039Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8058148Z PASSED [0.1154s] [ 99%] 2023-07-07T20:05:40.8058784Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8059120Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8059484Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8059565Z PASSED [0.1140s] [ 99%] 2023-07-07T20:05:40.8060178Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8060513Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8060884Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8061226Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8061304Z PASSED [0.1185s] [ 99%] 2023-07-07T20:05:40.8061664Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.1051s] [ 99%] 2023-07-07T20:05:40.8062025Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1035s] [ 99%] 2023-07-07T20:05:40.8062639Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8062977Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8063316Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8063420Z PASSED [0.1127s] [ 99%] 2023-07-07T20:05:40.8064056Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8064396Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8064746Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8065087Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8065164Z PASSED [0.1128s] [ 99%] 2023-07-07T20:05:40.8065528Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0985s] [ 99%] 2023-07-07T20:05:40.8065897Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0979s] [ 99%] 2023-07-07T20:05:40.8066537Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8066875Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8067213Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8067294Z PASSED [0.0736s] [ 99%] 2023-07-07T20:05:40.8067651Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0620s] [ 99%] 2023-07-07T20:05:40.8068254Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8068602Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8068992Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8069071Z PASSED [0.0691s] [ 99%] 2023-07-07T20:05:40.8069671Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8070060Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8070398Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8070735Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8070815Z PASSED [0.0690s] [ 99%] 2023-07-07T20:05:40.8071199Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0561s] [ 99%] 2023-07-07T20:05:40.8071805Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8072150Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8072493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8072834Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8072900Z PASSED [0.0565s] [ 99%] 2023-07-07T20:05:40.8073262Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_no_initial_state_without_sequence_lengths_with_dropout PASSED [0.0437s] [ 99%] 2023-07-07T20:05:40.8073866Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8074255Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8074592Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8074774Z PASSED [0.0498s] [ 99%] 2023-07-07T20:05:40.8075134Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0375s] [ 99%] 2023-07-07T20:05:40.8075731Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8076068Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8076439Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8076521Z PASSED [0.0413s] [ 99%] 2023-07-07T20:05:40.8077124Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8077464Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8077805Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8077884Z PASSED [0.0413s] [ 99%] 2023-07-07T20:05:40.8078239Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0298s] [ 99%] 2023-07-07T20:05:40.8078835Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8079203Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8079567Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8079644Z PASSED [0.0364s] [ 99%] 2023-07-07T20:05:40.8080249Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8080618Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8080957Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8081036Z PASSED [0.0366s] [ 99%] 2023-07-07T20:05:40.8081643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8082001Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8082325Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8082657Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8082736Z PASSED [0.0369s] [ 99%] 2023-07-07T20:05:40.8083342Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8083680Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8084020Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8084493Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8084590Z PASSED [0.0365s] [ 99%] 2023-07-07T20:05:40.8085005Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0249s] [ 99%] 2023-07-07T20:05:40.8085361Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_gru_nonlinearity_None_unilayer_forward_with_initial_state_without_sequence_lengths_without_dropout PASSED [0.0245s] [ 99%] 2023-07-07T20:05:40.8086007Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8086348Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8086683Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8086764Z PASSED [0.1207s] [ 99%] 2023-07-07T20:05:40.8087397Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8087745Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8088258Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8088774Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8088887Z PASSED [0.1208s] [ 99%] 2023-07-07T20:05:40.8089439Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.1403s] [ 99%] 2023-07-07T20:05:40.8090366Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8090924Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8091463Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8091565Z PASSED [0.1175s] [ 99%] 2023-07-07T20:05:40.8092498Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8093042Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8093549Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8093663Z PASSED [0.1173s] [ 99%] 2023-07-07T20:05:40.8094615Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8095130Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8095636Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8096149Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8096267Z PASSED [0.1170s] [ 99%] 2023-07-07T20:05:40.8096819Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.1031s] [ 99%] 2023-07-07T20:05:40.8097733Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8098256Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8098825Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8098942Z PASSED [0.0778s] [ 99%] 2023-07-07T20:05:40.8099859Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8100405Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8100917Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8101032Z PASSED [0.0889s] [ 99%] 2023-07-07T20:05:40.8101966Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8102481Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8102990Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8103494Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8103611Z PASSED [0.0933s] [ 99%] 2023-07-07T20:05:40.8104504Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8105024Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8105534Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8106044Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8106191Z PASSED [0.0753s] [ 99%] 2023-07-07T20:05:40.8106760Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0857s] [ 99%] 2023-07-07T20:05:40.8107291Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_trilayer_forward_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0618s] [ 99%] 2023-07-07T20:05:40.8108245Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8108765Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8109272Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8109401Z PASSED [0.0548s] [ 99%] 2023-07-07T20:05:40.8110375Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8110873Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8111210Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8111290Z PASSED [0.0543s] [ 99%] 2023-07-07T20:05:40.8111902Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8112240Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8112571Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8112651Z PASSED [0.0484s] [ 99%] 2023-07-07T20:05:40.8113318Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8113655Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8114023Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8114358Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8114435Z PASSED [0.0491s] [ 99%] 2023-07-07T20:05:40.8114865Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_bidirectional_with_initial_state_without_sequence_lengths_with_dropout PASSED [0.0389s] [ 99%] 2023-07-07T20:05:40.8115499Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8115845Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8116184Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8116262Z PASSED [0.0409s] [ 99%] 2023-07-07T20:05:40.8116871Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_batch_first_sequence_lengths_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8117210Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8117544Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8117622Z PASSED [0.0409s] [ 99%] 2023-07-07T20:05:40.8118219Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_with_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8118631Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8118968Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8119328Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8119408Z PASSED [0.0416s] [ 99%] 2023-07-07T20:05:40.8120008Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8120348Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8120708Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8121047Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8121123Z PASSED [0.0412s] [ 99%] 2023-07-07T20:05:40.8121482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_no_initial_state_without_sequence_lengths_without_dropout PASSED [0.0291s] [ 99%] 2023-07-07T20:05:40.8122086Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_name_lstm_nonlinearity_None_unilayer_forward_with_initial_state_with_variable_length_sequences_without_dropout [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8122428Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8122762Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8123100Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8123194Z PASSED [0.0354s] [ 99%] 2023-07-07T20:05:40.8123710Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rnn_no_bias [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8124047Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8124532Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8124880Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8125215Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8125547Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8125940Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8126276Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8126609Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8126942Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8127275Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8127614Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8127946Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8128280Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:05:40.8128358Z PASSED [0.1429s] [ 99%] 2023-07-07T20:05:40.8128612Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_roi_align PASSED [0.0108s] [ 99%] 2023-07-07T20:05:40.8128890Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rpn PASSED [1.4566s] [ 99%] 2023-07-07T20:05:40.8129161Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_rsqrt PASSED [0.0059s] [ 99%] 2023-07-07T20:05:40.8129446Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sage_conv SKIPPED [0.0002s] (torch_geometric not installed.) [ 99%] 2023-07-07T20:05:40.8129730Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add PASSED [0.0140s] [ 99%] 2023-07-07T20:05:40.8130006Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_different_size_index_src PASSED [0.0068s] [ 99%] 2023-07-07T20:05:40.8130312Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination1 PASSED [0.0067s] [ 99%] 2023-07-07T20:05:40.8130610Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_add_dynamic_index_src_indices_dynamic_combination3 PASSED [0.0069s] [ 99%] 2023-07-07T20:05:40.8130870Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_scatter_with_scalar PASSED [0.0066s] [ 99%] 2023-07-07T20:05:40.8131114Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_select PASSED [0.0064s] [ 99%] 2023-07-07T20:05:40.8131401Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_select_negative_index PASSED [0.0065s] [ 99%] 2023-07-07T20:05:40.8131670Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sequance_loopcarried PASSED [0.0056s] [ 99%] 2023-07-07T20:05:40.8131928Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sequence_to_bool PASSED [0.0060s] [ 99%] 2023-07-07T20:05:40.8132169Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_ PASSED [0.0078s] [ 99%] 2023-07-07T20:05:40.8132416Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_attr PASSED [0.0059s] [ 99%] 2023-07-07T20:05:40.8132653Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_attr_5 PASSED [0.0072s] [ 99%] 2023-07-07T20:05:40.8132910Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_set_attr_modules_2 PASSED [0.0368s] [ 99%] 2023-07-07T20:05:40.8133154Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_silu PASSED [0.0066s] [ 99%] 2023-07-07T20:05:40.8133404Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic PASSED [0.0679s] [ 99%] 2023-07-07T20:05:40.8133662Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_dynamic_script PASSED [0.0045s] [ 99%] 2023-07-07T20:05:40.8133912Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_neg PASSED [0.0098s] [ 99%] 2023-07-07T20:05:40.8134192Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large PASSED [0.0257s] [ 99%] 2023-07-07T20:05:40.8134482Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_neg_large_negone PASSED [0.0155s] [ 99%] 2023-07-07T20:05:40.8134732Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_trace PASSED [0.0172s] [ 99%] 2023-07-07T20:05:40.8134993Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_with_1d_input_index PASSED [0.0703s] [ 99%] 2023-07-07T20:05:40.8135286Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_index PASSED [0.0382s] [ 99%] 2023-07-07T20:05:40.8135555Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_slice_with_input_step_size PASSED [0.0546s] [ 99%] 2023-07-07T20:05:40.8135804Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_softplus PASSED [0.0302s] [ 99%] 2023-07-07T20:05:40.8136039Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_softshrink PASSED [0.0444s] [ 99%] 2023-07-07T20:05:40.8136294Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_softshrink_dtype PASSED [0.0131s] [ 99%] 2023-07-07T20:05:40.8136547Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_sort_ascending PASSED [0.0207s] [ 99%] 2023-07-07T20:05:40.8136820Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split PASSED [0.0303s] [ 99%] 2023-07-07T20:05:40.8137072Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split_dynamic PASSED [0.0076s] [ 99%] 2023-07-07T20:05:40.8137329Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split_size_with_slice PASSED [0.0439s] [ 99%] 2023-07-07T20:05:40.8137586Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_split_tensor_scalar PASSED [0.0097s] [ 99%] 2023-07-07T20:05:40.8137832Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_square PASSED [0.0046s] [ 99%] 2023-07-07T20:05:40.8138077Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze PASSED [0.0055s] [ 99%] 2023-07-07T20:05:40.8138334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_all_dims PASSED [0.0055s] [ 99%] 2023-07-07T20:05:40.8138583Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_neg PASSED [0.0100s] [ 99%] 2023-07-07T20:05:40.8138830Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_no_op PASSED [0.0098s] [ 99%] 2023-07-07T20:05:40.8139075Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_squeeze_without_no_op PASSED [0.0054s] [ 99%] 2023-07-07T20:05:40.8139328Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_std_along_dims PASSED [0.0179s] [ 99%] 2023-07-07T20:05:40.8139602Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_std_mean PASSED [0.0155s] [ 99%] 2023-07-07T20:05:40.8139879Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_std_mean_keepdim PASSED [0.0246s] [ 99%] 2023-07-07T20:05:40.8140135Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_hop_length PASSED [0.0267s] [ 99%] 2023-07-07T20:05:40.8140392Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_one_dimension PASSED [0.0184s] [ 99%] 2023-07-07T20:05:40.8140675Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_window_custom PASSED [0.0338s] [ 99%] 2023-07-07T20:05:40.8140942Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_window_size_with_win_len PASSED [0.0344s] [ 99%] 2023-07-07T20:05:40.8141204Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_custom_window_size PASSED [0.0081s] [ 99%] 2023-07-07T20:05:40.8141460Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_input_size PASSED [0.0071s] [ 99%] 2023-07-07T20:05:40.8141720Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_stft_wrong_window_length PASSED [0.0072s] [ 99%] 2023-07-07T20:05:40.8142021Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_arange PASSED [0.0689s] [ 99%] 2023-07-07T20:05:40.8142302Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_dynamic_axes PASSED [0.0180s] [ 99%] 2023-07-07T20:05:40.8142561Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_expand_1 PASSED [0.0142s] [ 99%] 2023-07-07T20:05:40.8142836Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_nonzero PASSED [0.0609s] [ 99%] 2023-07-07T20:05:40.8143101Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice PASSED [0.0353s] [ 99%] 2023-07-07T20:05:40.8143376Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_slice_2 PASSED [0.0120s] [ 99%] 2023-07-07T20:05:40.8143643Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_symbolic_shape_inference_time PASSED [0.0762s] [ 99%] 2023-07-07T20:05:40.8143885Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_take PASSED [0.0073s] [ 99%] 2023-07-07T20:05:40.8144127Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor PASSED [0.0156s] [ 99%] 2023-07-07T20:05:40.8144382Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_factories PASSED [0.0293s] [ 99%] 2023-07-07T20:05:40.8144668Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_consecutive PASSED [0.0198s] [ 99%] 2023-07-07T20:05:40.8144977Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_index_advanced_indexing_ellipsis PASSED [0.0160s] [ 99%] 2023-07-07T20:05:40.8145268Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensor_split_dynamic_axes PASSED [0.0131s] [ 99%] 2023-07-07T20:05:40.8145526Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_count PASSED [0.0186s] [ 99%] 2023-07-07T20:05:40.8145807Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dim_list PASSED [0.0511s] [ 99%] 2023-07-07T20:05:40.8146063Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tensordot_dynamic_dim PASSED [0.0553s] [ 99%] 2023-07-07T20:05:40.8146295Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_to_device PASSED [0.0117s] [ 99%] 2023-07-07T20:05:40.8146541Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tolist PASSED [0.0034s] [ 99%] 2023-07-07T20:05:40.8146786Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_topk_int32_k PASSED [0.0083s] [ 99%] 2023-07-07T20:05:40.8147033Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_topk_script PASSED [0.0034s] [ 99%] 2023-07-07T20:05:40.8147308Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_torch_mm PASSED [0.0050s] [ 99%] 2023-07-07T20:05:40.8147566Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_transform_images PASSED [0.1962s] [ 99%] 2023-07-07T20:05:40.8147806Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_triu PASSED [0.0445s] [ 99%] 2023-07-07T20:05:40.8148061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional PASSED [0.0052s] [ 99%] 2023-07-07T20:05:40.8148334Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor PASSED [0.0051s] [ 99%] 2023-07-07T20:05:40.8148657Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_of_optional_default_tensor_script SKIPPED [0.0009s] (Skip verify test for torch trace.) [ 99%] 2023-07-07T20:05:40.8148939Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_output_from_if_with_raised_exception PASSED [0.0057s] [ 99%] 2023-07-07T20:05:40.8149205Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_tuple_with_none_outputs PASSED [0.0044s] [ 99%] 2023-07-07T20:05:40.8149436Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unbind PASSED [0.0202s] [ 99%] 2023-07-07T20:05:40.8149689Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unbind_dynamic PASSED [0.0054s] [ 99%] 2023-07-07T20:05:40.8149945Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized PASSED [0.0051s] [ 99%] 2023-07-07T20:05:40.8150234Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_dynamic PASSED [0.0054s] [ 99%] 2023-07-07T20:05:40.8150521Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_intList PASSED [0.0058s] [ 99%] 2023-07-07T20:05:40.8150792Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_uninitialized_tensorList PASSED [0.0053s] [ 99%] 2023-07-07T20:05:40.8151037Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze PASSED [0.0057s] [ 99%] 2023-07-07T20:05:40.8151322Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_unsqueeze_dynamic_dim PASSED [0.0096s] [ 99%] 2023-07-07T20:05:40.8151565Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var PASSED [0.1236s] [ 99%] 2023-07-07T20:05:40.8151817Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_keepdim PASSED [0.0268s] [ 99%] 2023-07-07T20:05:40.8152061Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_mean PASSED [0.0216s] [ 99%] 2023-07-07T20:05:40.8152315Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_mean_keepdim PASSED [0.0272s] [ 99%] 2023-07-07T20:05:40.8152573Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_var_mean_mixed_dims PASSED [0.0316s] [ 99%] 2023-07-07T20:05:40.8152839Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_view_dynamic PASSED [0.0302s] [ 99%] 2023-07-07T20:05:40.8153093Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_weight_norm PASSED [0.0753s] [ 99%] 2023-07-07T20:05:40.8153349Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_weight_norm_nodim PASSED [0.0230s] [ 99%] 2023-07-07T20:05:40.8153591Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where PASSED [0.0072s] [ 99%] 2023-07-07T20:05:40.8153858Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where_condition_script PASSED [0.0429s] [ 99%] 2023-07-07T20:05:40.8154117Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where_with_bool_tensor PASSED [0.0095s] [ 99%] 2023-07-07T20:05:40.8154377Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_where_with_byte_tensor PASSED [0.0076s] [ 99%] 2023-07-07T20:05:40.8154721Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_LSTM PASSED [0.1763s] [ 99%] 2023-07-07T20:05:40.8154991Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_word_language_model_RNN_TANH PASSED [0.0841s] [ 99%] 2023-07-07T20:05:40.8156024Z onnx/test_pytorch_onnx_onnxruntime.py::TestONNXRuntime_opset_version_17_is_script_False_keep_initializers_as_inputs_False::test_zeros_ones_with_tensor_input PASSED [0.0132s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:05:40.8156155Z _C._set_default_tensor_type(t) 2023-07-07T20:05:40.8156164Z 2023-07-07T20:05:40.8156196Z 2023-07-07T20:05:40.8156617Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_pytorch_onnx_onnxruntime/onnx.test_pytorch_onnx_onnxruntime-d2ddb2f7badfa712.xml - 2023-07-07T20:05:40.8156739Z =============== 12664 passed, 5978 skipped in 589.01s (0:09:49) ================ 2023-07-07T20:05:40.8156745Z 2023-07-07T20:05:40.8157157Z ##[endgroup] 2023-07-07T20:05:40.8157539Z FINISHED PRINTING LOG FILE of onnx/test_pytorch_onnx_onnxruntime 2/2 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_onnx_onnxruntime_itkka5se.log) 2023-07-07T20:05:40.8157545Z 2023-07-07T20:05:41.4653430Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:05:41.4662050Z Ignoring disabled issues: [''] 2023-07-07T20:05:42.7394588Z Running onnx/test_operators 1/1 ... [2023-07-07 20:05:42.738985] 2023-07-07T20:05:42.7396619Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_operators.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_operators_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:05:42.739265] 2023-07-07T20:05:48.4713995Z 2023-07-07T20:05:48.4714597Z Expand the folded group to see the log file of onnx/test_operators 1/1 2023-07-07T20:05:48.4715806Z ##[group]PRINTING LOG FILE of onnx/test_operators 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_operators_b57i3621.log) 2023-07-07T20:05:48.4716706Z Test results will be stored in test-reports/python-pytest/onnx.test_operators/onnx.test_operators-5528f473048d4644.xml 2023-07-07T20:05:48.4717266Z ============================= test session starts ============================== 2023-07-07T20:05:48.4717933Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:05:48.4718382Z cachedir: .pytest_cache 2023-07-07T20:05:48.4718998Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:05:48.4719337Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:05:48.4719602Z configfile: pytest.ini 2023-07-07T20:05:48.4720107Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:05:48.4720507Z collecting ... collected 163 items 2023-07-07T20:05:48.4736577Z Running 163 items in this shard: test/onnx/test_operators.py::TestOperators::test_acos, test/onnx/test_operators.py::TestOperators::test_add_broadcast, test/onnx/test_operators.py::TestOperators::test_add_left_broadcast, test/onnx/test_operators.py::TestOperators::test_add_size1_broadcast, test/onnx/test_operators.py::TestOperators::test_add_size1_right_broadcast, test/onnx/test_operators.py::TestOperators::test_add_size1_singleton_broadcast, test/onnx/test_operators.py::TestOperators::test_addconstant, test/onnx/test_operators.py::TestOperators::test_addmm, test/onnx/test_operators.py::TestOperators::test_arange_dynamic, test/onnx/test_operators.py::TestOperators::test_argmax, test/onnx/test_operators.py::TestOperators::test_asin, test/onnx/test_operators.py::TestOperators::test_at_op, test/onnx/test_operators.py::TestOperators::test_atan, test/onnx/test_operators.py::TestOperators::test_aten_embedding_1, test/onnx/test_operators.py::TestOperators::test_aten_embedding_2, test/onnx/test_operators.py::TestOperators::test_avg_pool2d, test/onnx/test_operators.py::TestOperators::test_baddbmm, test/onnx/test_operators.py::TestOperators::test_basic, test/onnx/test_operators.py::TestOperators::test_batchnorm, test/onnx/test_operators.py::TestOperators::test_batchnorm_1d, test/onnx/test_operators.py::TestOperators::test_batchnorm_noaffine, test/onnx/test_operators.py::TestOperators::test_batchnorm_onnx_irv4, test/onnx/test_operators.py::TestOperators::test_batchnorm_training, test/onnx/test_operators.py::TestOperators::test_bitshift, test/onnx/test_operators.py::TestOperators::test_chunk, test/onnx/test_operators.py::TestOperators::test_clip, test/onnx/test_operators.py::TestOperators::test_clip_max, test/onnx/test_operators.py::TestOperators::test_clip_min, test/onnx/test_operators.py::TestOperators::test_concat2, test/onnx/test_operators.py::TestOperators::test_conv, test/onnx/test_operators.py::TestOperators::test_conv_onnx_irv4, test/onnx/test_operators.py::TestOperators::test_conv_onnx_irv4_opset8, test/onnx/test_operators.py::TestOperators::test_conv_variable_length, test/onnx/test_operators.py::TestOperators::test_convtranspose, test/onnx/test_operators.py::TestOperators::test_cos, test/onnx/test_operators.py::TestOperators::test_cumsum, test/onnx/test_operators.py::TestOperators::test_det, test/onnx/test_operators.py::TestOperators::test_dict, test/onnx/test_operators.py::TestOperators::test_dict_str, test/onnx/test_operators.py::TestOperators::test_dim, test/onnx/test_operators.py::TestOperators::test_dropout, test/onnx/test_operators.py::TestOperators::test_dropout_default, test/onnx/test_operators.py::TestOperators::test_dropout_opset12, test/onnx/test_operators.py::TestOperators::test_dropout_training, test/onnx/test_operators.py::TestOperators::test_dropout_training_opset12, test/onnx/test_operators.py::TestOperators::test_dynamic_axes_add, test/onnx/test_operators.py::TestOperators::test_dynamic_axes_add_inputs_same_symbolic_shape, test/onnx/test_operators.py::TestOperators::test_dynamic_axes_matmul, test/onnx/test_operators.py::TestOperators::test_dynamic_axes_reduce_mean, test/onnx/test_operators.py::TestOperators::test_dynamic_axes_unchange, test/onnx/test_operators.py::TestOperators::test_elu, test/onnx/test_operators.py::TestOperators::test_embedding_bags, test/onnx/test_operators.py::TestOperators::test_empty_like, test/onnx/test_operators.py::TestOperators::test_equal, test/onnx/test_operators.py::TestOperators::test_erf, test/onnx/test_operators.py::TestOperators::test_exp, test/onnx/test_operators.py::TestOperators::test_expand, test/onnx/test_operators.py::TestOperators::test_flatten, test/onnx/test_operators.py::TestOperators::test_flatten2D, test/onnx/test_operators.py::TestOperators::test_fmod, test/onnx/test_operators.py::TestOperators::test_frobenius_norm, test/onnx/test_operators.py::TestOperators::test_full, test/onnx/test_operators.py::TestOperators::test_full_like, test/onnx/test_operators.py::TestOperators::test_gather, test/onnx/test_operators.py::TestOperators::test_gather_opset11, test/onnx/test_operators.py::TestOperators::test_ge, test/onnx/test_operators.py::TestOperators::test_gelu, test/onnx/test_operators.py::TestOperators::test_gt, test/onnx/test_operators.py::TestOperators::test_hardtanh, test/onnx/test_operators.py::TestOperators::test_implicit_expand, test/onnx/test_operators.py::TestOperators::test_index, test/onnx/test_operators.py::TestOperators::test_isnan, test/onnx/test_operators.py::TestOperators::test_layer_norm_aten, test/onnx/test_operators.py::TestOperators::test_le, test/onnx/test_operators.py::TestOperators::test_linear, test/onnx/test_operators.py::TestOperators::test_log_sigmoid, test/onnx/test_operators.py::TestOperators::test_logsoftmax, test/onnx/test_operators.py::TestOperators::test_lstm_none_sequence_lens, test/onnx/test_operators.py::TestOperators::test_lt, test/onnx/test_operators.py::TestOperators::test_master_opset, test/onnx/test_operators.py::TestOperators::test_max, test/onnx/test_operators.py::TestOperators::test_maxpool, test/onnx/test_operators.py::TestOperators::test_maxpool_dilations, test/onnx/test_operators.py::TestOperators::test_maxpool_indices, test/onnx/test_operators.py::TestOperators::test_mean, test/onnx/test_operators.py::TestOperators::test_mean_dtype, test/onnx/test_operators.py::TestOperators::test_meshgrid, test/onnx/test_operators.py::TestOperators::test_min, test/onnx/test_operators.py::TestOperators::test_mm, test/onnx/test_operators.py::TestOperators::test_mul_bool, test/onnx/test_operators.py::TestOperators::test_mul_fp_bool, test/onnx/test_operators.py::TestOperators::test_narrow, test/onnx/test_operators.py::TestOperators::test_ne, test/onnx/test_operators.py::TestOperators::test_nonzero, test/onnx/test_operators.py::TestOperators::test_norm_p1, test/onnx/test_operators.py::TestOperators::test_norm_p2, test/onnx/test_operators.py::TestOperators::test_ones_like, test/onnx/test_operators.py::TestOperators::test_pad, test/onnx/test_operators.py::TestOperators::test_params, test/onnx/test_operators.py::TestOperators::test_params_onnx_irv4, test/onnx/test_operators.py::TestOperators::test_permute2, test/onnx/test_operators.py::TestOperators::test_pixel_shuffle, test/onnx/test_operators.py::TestOperators::test_pow, test/onnx/test_operators.py::TestOperators::test_prelu, test/onnx/test_operators.py::TestOperators::test_prod, test/onnx/test_operators.py::TestOperators::test_prod_dtype, test/onnx/test_operators.py::TestOperators::test_rand, test/onnx/test_operators.py::TestOperators::test_randn, test/onnx/test_operators.py::TestOperators::test_reduce_sum_negative_indices, test/onnx/test_operators.py::TestOperators::test_reduced_mean, test/onnx/test_operators.py::TestOperators::test_reduced_mean_dtype, test/onnx/test_operators.py::TestOperators::test_reduced_mean_keepdim, test/onnx/test_operators.py::TestOperators::test_reduced_prod, test/onnx/test_operators.py::TestOperators::test_reduced_prod_dtype, test/onnx/test_operators.py::TestOperators::test_reduced_prod_keepdim, test/onnx/test_operators.py::TestOperators::test_reduced_sum, test/onnx/test_operators.py::TestOperators::test_reduced_sum_dtype, test/onnx/test_operators.py::TestOperators::test_reduced_sum_keepdim, test/onnx/test_operators.py::TestOperators::test_reducemax, test/onnx/test_operators.py::TestOperators::test_reducemin, test/onnx/test_operators.py::TestOperators::test_remainder, test/onnx/test_operators.py::TestOperators::test_repeat, test/onnx/test_operators.py::TestOperators::test_repeat_dim_overflow, test/onnx/test_operators.py::TestOperators::test_round, test/onnx/test_operators.py::TestOperators::test_rrelu, test/onnx/test_operators.py::TestOperators::test_rsqrt, test/onnx/test_operators.py::TestOperators::test_rsub, test/onnx/test_operators.py::TestOperators::test_scatter_add, test/onnx/test_operators.py::TestOperators::test_scatter_add_opset11, test/onnx/test_operators.py::TestOperators::test_scatter_add_opset16, test/onnx/test_operators.py::TestOperators::test_selu, test/onnx/test_operators.py::TestOperators::test_shape_value_map, test/onnx/test_operators.py::TestOperators::test_sign, test/onnx/test_operators.py::TestOperators::test_sin, test/onnx/test_operators.py::TestOperators::test_slice, test/onnx/test_operators.py::TestOperators::test_slice_dynamic, test/onnx/test_operators.py::TestOperators::test_softmaxcrossentropy, test/onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_3d, test/onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_3d_none, test/onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_4d, test/onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_ignore_index, test/onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_weights, test/onnx/test_operators.py::TestOperators::test_split, test/onnx/test_operators.py::TestOperators::test_split_with_sizes, test/onnx/test_operators.py::TestOperators::test_sqrt, test/onnx/test_operators.py::TestOperators::test_std, test/onnx/test_operators.py::TestOperators::test_sum, test/onnx/test_operators.py::TestOperators::test_sum_dtype, test/onnx/test_operators.py::TestOperators::test_symbolic_mismatch, test/onnx/test_operators.py::TestOperators::test_tan, test/onnx/test_operators.py::TestOperators::test_topk, test/onnx/test_operators.py::TestOperators::test_topk_smallest_unsorted, test/onnx/test_operators.py::TestOperators::test_transpose, test/onnx/test_operators.py::TestOperators::test_type_as, test/onnx/test_operators.py::TestOperators::test_unfold, test/onnx/test_operators.py::TestOperators::test_unique, test/onnx/test_operators.py::TestOperators::test_unsqueeze, test/onnx/test_operators.py::TestOperators::test_upsample_nearest_scale, test/onnx/test_operators.py::TestOperators::test_upsample_nearest_scale_default_scale_factor, test/onnx/test_operators.py::TestOperators::test_upsample_nearest_size, test/onnx/test_operators.py::TestOperators::test_view, test/onnx/test_operators.py::TestOperators::test_view_flatten, test/onnx/test_operators.py::TestOperators::test_zeros_like 2023-07-07T20:05:48.4748631Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:05:48.4748827Z 2023-07-07T20:05:48.4748989Z onnx/test_operators.py::TestOperators::test_acos PASSED [1.0175s] [ 0%] 2023-07-07T20:05:48.4749329Z onnx/test_operators.py::TestOperators::test_add_broadcast PASSED [0.0069s] [ 1%] 2023-07-07T20:05:48.4749683Z onnx/test_operators.py::TestOperators::test_add_left_broadcast PASSED [0.0072s] [ 1%] 2023-07-07T20:05:48.4750027Z onnx/test_operators.py::TestOperators::test_add_size1_broadcast PASSED [0.0057s] [ 2%] 2023-07-07T20:05:48.4750387Z onnx/test_operators.py::TestOperators::test_add_size1_right_broadcast PASSED [0.0064s] [ 3%] 2023-07-07T20:05:48.4750765Z onnx/test_operators.py::TestOperators::test_add_size1_singleton_broadcast PASSED [0.0069s] [ 3%] 2023-07-07T20:05:48.4751109Z onnx/test_operators.py::TestOperators::test_addconstant PASSED [0.0064s] [ 4%] 2023-07-07T20:05:48.4751440Z onnx/test_operators.py::TestOperators::test_addmm PASSED [0.0114s] [ 4%] 2023-07-07T20:05:48.4751770Z onnx/test_operators.py::TestOperators::test_arange_dynamic PASSED [0.0249s] [ 5%] 2023-07-07T20:05:48.4752111Z onnx/test_operators.py::TestOperators::test_argmax PASSED [0.0089s] [ 6%] 2023-07-07T20:05:48.4752421Z onnx/test_operators.py::TestOperators::test_asin PASSED [0.0068s] [ 6%] 2023-07-07T20:05:48.4752772Z onnx/test_operators.py::TestOperators::test_at_op PASSED [0.0082s] [ 7%] 2023-07-07T20:05:48.4753093Z onnx/test_operators.py::TestOperators::test_atan PASSED [0.0062s] [ 7%] 2023-07-07T20:05:48.4753415Z onnx/test_operators.py::TestOperators::test_aten_embedding_1 PASSED [0.0164s] [ 8%] 2023-07-07T20:05:48.4753762Z onnx/test_operators.py::TestOperators::test_aten_embedding_2 PASSED [0.0221s] [ 9%] 2023-07-07T20:05:48.4754102Z onnx/test_operators.py::TestOperators::test_avg_pool2d PASSED [0.0214s] [ 9%] 2023-07-07T20:05:48.4754429Z onnx/test_operators.py::TestOperators::test_baddbmm PASSED [0.0150s] [ 10%] 2023-07-07T20:05:48.4754825Z onnx/test_operators.py::TestOperators::test_basic PASSED [0.0157s] [ 11%] 2023-07-07T20:05:48.4755147Z onnx/test_operators.py::TestOperators::test_batchnorm PASSED [0.0132s] [ 11%] 2023-07-07T20:05:48.4755477Z onnx/test_operators.py::TestOperators::test_batchnorm_1d PASSED [0.0128s] [ 12%] 2023-07-07T20:05:48.4755814Z onnx/test_operators.py::TestOperators::test_batchnorm_noaffine PASSED [0.0153s] [ 12%] 2023-07-07T20:05:48.4756315Z onnx/test_operators.py::TestOperators::test_batchnorm_onnx_irv4 PASSED [0.0133s] [ 13%] 2023-07-07T20:05:48.4756654Z onnx/test_operators.py::TestOperators::test_batchnorm_training PASSED [0.0186s] [ 14%] 2023-07-07T20:05:48.4756993Z onnx/test_operators.py::TestOperators::test_bitshift PASSED [0.0136s] [ 14%] 2023-07-07T20:05:48.4757317Z onnx/test_operators.py::TestOperators::test_chunk PASSED [0.0199s] [ 15%] 2023-07-07T20:05:48.4757633Z onnx/test_operators.py::TestOperators::test_clip PASSED [0.0118s] [ 15%] 2023-07-07T20:05:48.4757938Z onnx/test_operators.py::TestOperators::test_clip_max PASSED [0.0107s] [ 16%] 2023-07-07T20:05:48.4758258Z onnx/test_operators.py::TestOperators::test_clip_min PASSED [0.0107s] [ 17%] 2023-07-07T20:05:48.4758579Z onnx/test_operators.py::TestOperators::test_concat2 PASSED [0.0096s] [ 17%] 2023-07-07T20:05:48.4758884Z onnx/test_operators.py::TestOperators::test_conv PASSED [0.0234s] [ 18%] 2023-07-07T20:05:48.4759267Z onnx/test_operators.py::TestOperators::test_conv_onnx_irv4 PASSED [0.0218s] [ 19%] 2023-07-07T20:05:48.4759609Z onnx/test_operators.py::TestOperators::test_conv_onnx_irv4_opset8 PASSED [0.0171s] [ 19%] 2023-07-07T20:05:48.4760072Z onnx/test_operators.py::TestOperators::test_conv_variable_length Exported graph: graph(%input_1 : Float(*, 3, *, *, strides=[108, 36, 6, 1], requires_grad=1, device=cpu), 2023-07-07T20:05:48.4760464Z %weight : Float(2, 3, 3, 3, strides=[27, 9, 3, 1], requires_grad=1, device=cpu), 2023-07-07T20:05:48.4760762Z %bias : Float(2, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:05:48.4761607Z %output_1 : Float(*, 2, *, *, strides=[32, 16, 4, 1], requires_grad=1, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[3, 3], pads=[0, 0, 0, 0], strides=[1, 1], onnx_name="/Conv"](%input_1, %weight, %bias), scope: torch.nn.modules.conv.Conv2d:: # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/conv.py:459:0 2023-07-07T20:05:48.4762126Z return (%output_1) 2023-07-07T20:05:48.4762248Z 2023-07-07T20:05:48.4762328Z PASSED [0.0078s] [ 20%] 2023-07-07T20:05:48.4762595Z onnx/test_operators.py::TestOperators::test_convtranspose PASSED [0.0194s] [ 20%] 2023-07-07T20:05:48.4762934Z onnx/test_operators.py::TestOperators::test_cos PASSED [0.0071s] [ 21%] 2023-07-07T20:05:48.4763254Z onnx/test_operators.py::TestOperators::test_cumsum PASSED [0.0093s] [ 22%] 2023-07-07T20:05:48.4763562Z onnx/test_operators.py::TestOperators::test_det PASSED [0.0124s] [ 22%] 2023-07-07T20:05:48.4763875Z onnx/test_operators.py::TestOperators::test_dict PASSED [0.0082s] [ 23%] 2023-07-07T20:05:48.4764195Z onnx/test_operators.py::TestOperators::test_dict_str PASSED [0.0097s] [ 23%] 2023-07-07T20:05:48.4764629Z onnx/test_operators.py::TestOperators::test_dim PASSED [0.0067s] [ 24%] 2023-07-07T20:05:48.4764996Z onnx/test_operators.py::TestOperators::test_dropout PASSED [0.0062s] [ 25%] 2023-07-07T20:05:48.4765336Z onnx/test_operators.py::TestOperators::test_dropout_default PASSED [0.0086s] [ 25%] 2023-07-07T20:05:48.4765682Z onnx/test_operators.py::TestOperators::test_dropout_opset12 PASSED [0.0063s] [ 26%] 2023-07-07T20:05:48.4766019Z onnx/test_operators.py::TestOperators::test_dropout_training PASSED [0.0084s] [ 26%] 2023-07-07T20:05:48.4766377Z onnx/test_operators.py::TestOperators::test_dropout_training_opset12 PASSED [0.0103s] [ 27%] 2023-07-07T20:05:48.4766730Z onnx/test_operators.py::TestOperators::test_dynamic_axes_add PASSED [0.0076s] [ 28%] 2023-07-07T20:05:48.4767110Z onnx/test_operators.py::TestOperators::test_dynamic_axes_add_inputs_same_symbolic_shape PASSED [0.0078s] [ 28%] 2023-07-07T20:05:48.4767479Z onnx/test_operators.py::TestOperators::test_dynamic_axes_matmul PASSED [0.0066s] [ 29%] 2023-07-07T20:05:48.4767836Z onnx/test_operators.py::TestOperators::test_dynamic_axes_reduce_mean PASSED [0.0105s] [ 30%] 2023-07-07T20:05:48.4768205Z onnx/test_operators.py::TestOperators::test_dynamic_axes_unchange PASSED [0.0094s] [ 30%] 2023-07-07T20:05:48.4768535Z onnx/test_operators.py::TestOperators::test_elu PASSED [0.0091s] [ 31%] 2023-07-07T20:05:48.4768864Z onnx/test_operators.py::TestOperators::test_embedding_bags PASSED [0.0357s] [ 31%] 2023-07-07T20:05:48.4769200Z onnx/test_operators.py::TestOperators::test_empty_like PASSED [0.0099s] [ 32%] 2023-07-07T20:05:48.4769525Z onnx/test_operators.py::TestOperators::test_equal PASSED [0.0064s] [ 33%] 2023-07-07T20:05:48.4769830Z onnx/test_operators.py::TestOperators::test_erf PASSED [0.0067s] [ 33%] 2023-07-07T20:05:48.4770150Z onnx/test_operators.py::TestOperators::test_exp PASSED [0.0066s] [ 34%] 2023-07-07T20:05:48.4770473Z onnx/test_operators.py::TestOperators::test_expand PASSED [0.0170s] [ 34%] 2023-07-07T20:05:48.4770782Z onnx/test_operators.py::TestOperators::test_flatten PASSED [0.0118s] [ 35%] 2023-07-07T20:05:48.4771101Z onnx/test_operators.py::TestOperators::test_flatten2D PASSED [0.0067s] [ 36%] 2023-07-07T20:05:48.4771468Z onnx/test_operators.py::TestOperators::test_fmod PASSED [0.0058s] [ 36%] 2023-07-07T20:05:48.4771802Z onnx/test_operators.py::TestOperators::test_frobenius_norm PASSED [0.0164s] [ 37%] 2023-07-07T20:05:48.4772162Z onnx/test_operators.py::TestOperators::test_full PASSED [0.0172s] [ 38%] 2023-07-07T20:05:48.4772482Z onnx/test_operators.py::TestOperators::test_full_like PASSED [0.0071s] [ 38%] 2023-07-07T20:05:48.4772800Z onnx/test_operators.py::TestOperators::test_gather PASSED [0.0068s] [ 39%] 2023-07-07T20:05:48.4773121Z onnx/test_operators.py::TestOperators::test_gather_opset11 PASSED [0.0062s] [ 39%] 2023-07-07T20:05:48.4773492Z onnx/test_operators.py::TestOperators::test_ge PASSED [0.0048s] [ 40%] 2023-07-07T20:05:48.4773803Z onnx/test_operators.py::TestOperators::test_gelu PASSED [0.0126s] [ 41%] 2023-07-07T20:05:48.4774117Z onnx/test_operators.py::TestOperators::test_gt PASSED [0.0068s] [ 41%] 2023-07-07T20:05:48.4774426Z onnx/test_operators.py::TestOperators::test_hardtanh PASSED [0.0111s] [ 42%] 2023-07-07T20:05:48.4774764Z onnx/test_operators.py::TestOperators::test_implicit_expand PASSED [0.0099s] [ 42%] 2023-07-07T20:05:48.4775100Z onnx/test_operators.py::TestOperators::test_index PASSED [0.0088s] [ 43%] 2023-07-07T20:05:48.4775409Z onnx/test_operators.py::TestOperators::test_isnan PASSED [0.0065s] [ 44%] 2023-07-07T20:05:48.4775736Z onnx/test_operators.py::TestOperators::test_layer_norm_aten PASSED [0.0214s] [ 44%] 2023-07-07T20:05:48.4776062Z onnx/test_operators.py::TestOperators::test_le PASSED [0.0069s] [ 45%] 2023-07-07T20:05:48.4776381Z onnx/test_operators.py::TestOperators::test_linear PASSED [0.0095s] [ 46%] 2023-07-07T20:05:48.4776689Z onnx/test_operators.py::TestOperators::test_log_sigmoid PASSED [0.0072s] [ 46%] 2023-07-07T20:05:48.4777008Z onnx/test_operators.py::TestOperators::test_logsoftmax PASSED [0.0080s] [ 47%] 2023-07-07T20:05:48.4777388Z onnx/test_operators.py::TestOperators::test_lstm_none_sequence_lens PASSED [0.1231s] [ 47%] 2023-07-07T20:05:48.4777713Z onnx/test_operators.py::TestOperators::test_lt PASSED [0.0074s] [ 48%] 2023-07-07T20:05:48.4778039Z onnx/test_operators.py::TestOperators::test_master_opset PASSED [0.0079s] [ 49%] 2023-07-07T20:05:48.4778453Z onnx/test_operators.py::TestOperators::test_max PASSED [0.0067s] [ 49%] 2023-07-07T20:05:48.4778935Z onnx/test_operators.py::TestOperators::test_maxpool PASSED [0.0131s] [ 50%] 2023-07-07T20:05:48.4779425Z onnx/test_operators.py::TestOperators::test_maxpool_dilations PASSED [0.0124s] [ 50%] 2023-07-07T20:05:48.4779937Z onnx/test_operators.py::TestOperators::test_maxpool_indices PASSED [0.0196s] [ 51%] 2023-07-07T20:05:48.4780425Z onnx/test_operators.py::TestOperators::test_mean PASSED [0.0078s] [ 52%] 2023-07-07T20:05:48.4780890Z onnx/test_operators.py::TestOperators::test_mean_dtype PASSED [0.0095s] [ 52%] 2023-07-07T20:05:48.4781374Z onnx/test_operators.py::TestOperators::test_meshgrid PASSED [0.0292s] [ 53%] 2023-07-07T20:05:48.4781850Z onnx/test_operators.py::TestOperators::test_min PASSED [0.0072s] [ 53%] 2023-07-07T20:05:48.4782321Z onnx/test_operators.py::TestOperators::test_mm PASSED [0.0072s] [ 54%] 2023-07-07T20:05:48.4782778Z onnx/test_operators.py::TestOperators::test_mul_bool PASSED [0.0066s] [ 55%] 2023-07-07T20:05:48.4783255Z onnx/test_operators.py::TestOperators::test_mul_fp_bool PASSED [0.0072s] [ 55%] 2023-07-07T20:05:48.4783735Z onnx/test_operators.py::TestOperators::test_narrow PASSED [0.0146s] [ 56%] 2023-07-07T20:05:48.4784196Z onnx/test_operators.py::TestOperators::test_ne PASSED [0.0073s] [ 57%] 2023-07-07T20:05:48.4784668Z onnx/test_operators.py::TestOperators::test_nonzero PASSED [0.0072s] [ 57%] 2023-07-07T20:05:48.4785142Z onnx/test_operators.py::TestOperators::test_norm_p1 PASSED [0.0164s] [ 58%] 2023-07-07T20:05:48.4785617Z onnx/test_operators.py::TestOperators::test_norm_p2 PASSED [0.0165s] [ 58%] 2023-07-07T20:05:48.4786133Z onnx/test_operators.py::TestOperators::test_ones_like PASSED [0.0093s] [ 59%] 2023-07-07T20:05:48.4786608Z onnx/test_operators.py::TestOperators::test_pad PASSED [0.0255s] [ 60%] 2023-07-07T20:05:48.4787075Z onnx/test_operators.py::TestOperators::test_params PASSED [0.0158s] [ 60%] 2023-07-07T20:05:48.4787592Z onnx/test_operators.py::TestOperators::test_params_onnx_irv4 PASSED [0.0155s] [ 61%] 2023-07-07T20:05:48.4788100Z onnx/test_operators.py::TestOperators::test_permute2 PASSED [0.0094s] [ 61%] 2023-07-07T20:05:48.4788593Z onnx/test_operators.py::TestOperators::test_pixel_shuffle PASSED [0.0083s] [ 62%] 2023-07-07T20:05:48.4789088Z onnx/test_operators.py::TestOperators::test_pow PASSED [0.0067s] [ 63%] 2023-07-07T20:05:48.4789585Z onnx/test_operators.py::TestOperators::test_prelu PASSED [0.0080s] [ 63%] 2023-07-07T20:05:48.4790058Z onnx/test_operators.py::TestOperators::test_prod PASSED [0.0075s] [ 64%] 2023-07-07T20:05:48.4790540Z onnx/test_operators.py::TestOperators::test_prod_dtype PASSED [0.0091s] [ 65%] 2023-07-07T20:05:48.4791010Z onnx/test_operators.py::TestOperators::test_rand PASSED [0.0139s] [ 65%] 2023-07-07T20:05:48.4791481Z onnx/test_operators.py::TestOperators::test_randn PASSED [0.0139s] [ 66%] 2023-07-07T20:05:48.4792002Z onnx/test_operators.py::TestOperators::test_reduce_sum_negative_indices PASSED [0.0101s] [ 66%] 2023-07-07T20:05:48.4792528Z onnx/test_operators.py::TestOperators::test_reduced_mean PASSED [0.0098s] [ 67%] 2023-07-07T20:05:48.4793025Z onnx/test_operators.py::TestOperators::test_reduced_mean_dtype PASSED [0.0114s] [ 68%] 2023-07-07T20:05:48.4793553Z onnx/test_operators.py::TestOperators::test_reduced_mean_keepdim PASSED [0.0099s] [ 68%] 2023-07-07T20:05:48.4794072Z onnx/test_operators.py::TestOperators::test_reduced_prod PASSED [0.0092s] [ 69%] 2023-07-07T20:05:48.4794578Z onnx/test_operators.py::TestOperators::test_reduced_prod_dtype PASSED [0.0111s] [ 69%] 2023-07-07T20:05:48.4795229Z onnx/test_operators.py::TestOperators::test_reduced_prod_keepdim PASSED [0.0093s] [ 70%] 2023-07-07T20:05:48.4795741Z onnx/test_operators.py::TestOperators::test_reduced_sum PASSED [0.0106s] [ 71%] 2023-07-07T20:05:48.4796242Z onnx/test_operators.py::TestOperators::test_reduced_sum_dtype PASSED [0.0080s] [ 71%] 2023-07-07T20:05:48.4796752Z onnx/test_operators.py::TestOperators::test_reduced_sum_keepdim PASSED [0.0101s] [ 72%] 2023-07-07T20:05:48.4797258Z onnx/test_operators.py::TestOperators::test_reducemax PASSED [0.0043s] [ 73%] 2023-07-07T20:05:48.4797753Z onnx/test_operators.py::TestOperators::test_reducemin PASSED [0.0062s] [ 73%] 2023-07-07T20:05:48.4798223Z onnx/test_operators.py::TestOperators::test_remainder PASSED [0.0092s] [ 74%] 2023-07-07T20:05:48.4798710Z onnx/test_operators.py::TestOperators::test_repeat PASSED [0.0120s] [ 74%] 2023-07-07T20:05:48.4799213Z onnx/test_operators.py::TestOperators::test_repeat_dim_overflow PASSED [0.0117s] [ 75%] 2023-07-07T20:05:48.4799718Z onnx/test_operators.py::TestOperators::test_round PASSED [0.0063s] [ 76%] 2023-07-07T20:05:48.4800179Z onnx/test_operators.py::TestOperators::test_rrelu PASSED [0.0088s] [ 76%] 2023-07-07T20:05:48.4800653Z onnx/test_operators.py::TestOperators::test_rsqrt PASSED [0.0058s] [ 77%] 2023-07-07T20:05:48.4801126Z onnx/test_operators.py::TestOperators::test_rsub PASSED [0.0060s] [ 77%] 2023-07-07T20:05:48.4801593Z onnx/test_operators.py::TestOperators::test_scatter_add PASSED [0.0069s] [ 78%] 2023-07-07T20:05:48.4802093Z onnx/test_operators.py::TestOperators::test_scatter_add_opset11 PASSED [0.0068s] [ 79%] 2023-07-07T20:05:48.4802617Z onnx/test_operators.py::TestOperators::test_scatter_add_opset16 PASSED [0.0056s] [ 79%] 2023-07-07T20:05:48.4803107Z onnx/test_operators.py::TestOperators::test_selu PASSED [0.0061s] [ 80%] 2023-07-07T20:05:48.4803585Z onnx/test_operators.py::TestOperators::test_shape_value_map PASSED [0.0291s] [ 80%] 2023-07-07T20:05:48.4804075Z onnx/test_operators.py::TestOperators::test_sign PASSED [0.0049s] [ 81%] 2023-07-07T20:05:48.4804749Z onnx/test_operators.py::TestOperators::test_sin PASSED [0.0047s] [ 82%] 2023-07-07T20:05:48.4805206Z onnx/test_operators.py::TestOperators::test_slice PASSED [0.0127s] [ 82%] 2023-07-07T20:05:48.4805756Z onnx/test_operators.py::TestOperators::test_slice_dynamic PASSED [0.0179s] [ 83%] 2023-07-07T20:05:48.4806286Z onnx/test_operators.py::TestOperators::test_softmaxcrossentropy PASSED [0.0071s] [ 84%] 2023-07-07T20:05:48.4806834Z onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_3d PASSED [0.0091s] [ 84%] 2023-07-07T20:05:48.4807380Z onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_3d_none PASSED [0.0095s] [ 85%] 2023-07-07T20:05:48.4808002Z onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_4d PASSED [0.0096s] [ 85%] 2023-07-07T20:05:48.4808573Z onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_ignore_index PASSED [0.0090s] [ 86%] 2023-07-07T20:05:48.4809146Z onnx/test_operators.py::TestOperators::test_softmaxcrossentropy_weights PASSED [0.0097s] [ 87%] 2023-07-07T20:05:48.4809678Z onnx/test_operators.py::TestOperators::test_split PASSED [0.0101s] [ 87%] 2023-07-07T20:05:48.4810174Z onnx/test_operators.py::TestOperators::test_split_with_sizes PASSED [0.0108s] [ 88%] 2023-07-07T20:05:48.4810672Z onnx/test_operators.py::TestOperators::test_sqrt PASSED [0.0064s] [ 88%] 2023-07-07T20:05:48.4811132Z onnx/test_operators.py::TestOperators::test_std PASSED [0.0188s] [ 89%] 2023-07-07T20:05:48.4811602Z onnx/test_operators.py::TestOperators::test_sum PASSED [0.0068s] [ 90%] 2023-07-07T20:05:48.4812076Z onnx/test_operators.py::TestOperators::test_sum_dtype PASSED [0.0083s] [ 90%] 2023-07-07T20:05:48.4812569Z onnx/test_operators.py::TestOperators::test_symbolic_mismatch PASSED [0.0033s] [ 91%] 2023-07-07T20:05:48.4813060Z onnx/test_operators.py::TestOperators::test_tan PASSED [0.0061s] [ 92%] 2023-07-07T20:05:48.4813579Z onnx/test_operators.py::TestOperators::test_topk PASSED [0.0114s] [ 92%] 2023-07-07T20:05:48.4814092Z onnx/test_operators.py::TestOperators::test_topk_smallest_unsorted PASSED [0.0114s] [ 93%] 2023-07-07T20:05:48.4814603Z onnx/test_operators.py::TestOperators::test_transpose PASSED [0.0103s] [ 93%] 2023-07-07T20:05:48.4815058Z onnx/test_operators.py::TestOperators::test_type_as PASSED [0.0064s] [ 94%] 2023-07-07T20:05:48.4815379Z onnx/test_operators.py::TestOperators::test_unfold PASSED [0.0176s] [ 95%] 2023-07-07T20:05:48.4815690Z onnx/test_operators.py::TestOperators::test_unique PASSED [0.0113s] [ 95%] 2023-07-07T20:05:48.4816013Z onnx/test_operators.py::TestOperators::test_unsqueeze PASSED [0.0083s] [ 96%] 2023-07-07T20:05:48.4816359Z onnx/test_operators.py::TestOperators::test_upsample_nearest_scale PASSED [0.0080s] [ 96%] 2023-07-07T20:05:48.4816743Z onnx/test_operators.py::TestOperators::test_upsample_nearest_scale_default_scale_factor PASSED [0.0076s] [ 97%] 2023-07-07T20:05:48.4817118Z onnx/test_operators.py::TestOperators::test_upsample_nearest_size PASSED [0.0099s] [ 98%] 2023-07-07T20:05:48.4817455Z onnx/test_operators.py::TestOperators::test_view PASSED [0.0064s] [ 98%] 2023-07-07T20:05:48.4817781Z onnx/test_operators.py::TestOperators::test_view_flatten PASSED [0.0138s] [ 99%] 2023-07-07T20:05:48.4818806Z onnx/test_operators.py::TestOperators::test_zeros_like PASSED [0.0063s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:05:48.4819401Z _C._set_default_tensor_type(t) 2023-07-07T20:05:48.4819533Z 2023-07-07T20:05:48.4819538Z 2023-07-07T20:05:48.4819902Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_operators/onnx.test_operators-5528f473048d4644.xml - 2023-07-07T20:05:48.4820345Z ============================= 163 passed in 3.21s ============================== 2023-07-07T20:05:48.4820487Z 2023-07-07T20:05:48.4820819Z ##[endgroup] 2023-07-07T20:05:48.4821239Z FINISHED PRINTING LOG FILE of onnx/test_operators 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_operators_b57i3621.log) 2023-07-07T20:05:48.4821516Z 2023-07-07T20:05:50.9812720Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:05:50.9820382Z Ignoring disabled issues: [''] 2023-07-07T20:05:52.2522351Z Running onnx/test_fx_to_onnx 1/1 ... [2023-07-07 20:05:52.251681] 2023-07-07T20:05:52.2523424Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_fx_to_onnx.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_fx_to_onnx_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:05:52.251947] 2023-07-07T20:05:56.9338259Z 2023-07-07T20:05:56.9338953Z Expand the folded group to see the log file of onnx/test_fx_to_onnx 1/1 2023-07-07T20:05:56.9340017Z ##[group]PRINTING LOG FILE of onnx/test_fx_to_onnx 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_to_onnx__jhoomig.log) 2023-07-07T20:05:56.9340963Z Test results will be stored in test-reports/python-pytest/onnx.test_fx_to_onnx/onnx.test_fx_to_onnx-be7292e35aeb1f69.xml 2023-07-07T20:05:56.9341326Z ============================= test session starts ============================== 2023-07-07T20:05:56.9341731Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:05:56.9342002Z cachedir: .pytest_cache 2023-07-07T20:05:56.9342438Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:05:56.9342792Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:05:56.9342998Z configfile: pytest.ini 2023-07-07T20:05:56.9343661Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:05:56.9344024Z collecting ... collected 7 items 2023-07-07T20:05:56.9344849Z Running 7 items in this shard: test/onnx/test_fx_to_onnx.py::TestFxToOnnx::test_empty, test/onnx/test_fx_to_onnx.py::TestFxToOnnx::test_mnist, test/onnx/test_fx_to_onnx.py::TestFxToOnnx::test_multiple_outputs_op_with_evaluator, test/onnx/test_fx_to_onnx.py::TestFxToOnnx::test_simple_function, test/onnx/test_fx_to_onnx.py::TestFxToOnnx::test_trace_only_op_with_evaluator, test/onnx/test_fx_to_onnx.py::TestFxToOnnx::test_unsupported_function_schema_with_op_level_debug, test/onnx/test_fx_to_onnx.py::TestFxToOnnx::test_unsupported_indices_fake_tensor_generated_with_op_level_debug 2023-07-07T20:05:56.9345647Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:05:56.9345808Z 2023-07-07T20:05:56.9345960Z onnx/test_fx_to_onnx.py::TestFxToOnnx::test_empty PASSED [1.2568s] [ 14%] 2023-07-07T20:05:56.9346867Z onnx/test_fx_to_onnx.py::TestFxToOnnx::test_mnist /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:05:56.9347449Z _C._set_default_tensor_type(t) 2023-07-07T20:05:56.9347868Z [2023-07-07 20:05:55,678] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:56.9348233Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9348409Z 2023-07-07T20:05:56.9348603Z [2023-07-07 20:05:55,678] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9348970Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9349198Z 2023-07-07T20:05:56.9349449Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9349935Z - self: 2023-07-07T20:05:56.9350370Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:56.9350729Z - aten_name: 2023-07-07T20:05:56.9350987Z - function_overloads: 2023-07-07T20:05:56.9351228Z - onnx_args: 2023-07-07T20:05:56.9351472Z - onnx_kwargs: 2023-07-07T20:05:56.9351911Z - diagnostic_context: 2023-07-07T20:05:56.9352382Z - Return value: 2023-07-07T20:05:56.9352919Z [2023-07-07 20:05:55,683] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution_1]. 2023-07-07T20:05:56.9353292Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9353478Z 2023-07-07T20:05:56.9353681Z [2023-07-07 20:05:55,683] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9354041Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9354273Z 2023-07-07T20:05:56.9354468Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9355036Z - self: 2023-07-07T20:05:56.9355490Z - node: fx.Node(convolution_1[call_function]'aten.convolution.default') 2023-07-07T20:05:56.9355780Z - aten_name: 2023-07-07T20:05:56.9356041Z - function_overloads: 2023-07-07T20:05:56.9356298Z - onnx_args: 2023-07-07T20:05:56.9356531Z - onnx_kwargs: 2023-07-07T20:05:56.9356966Z - diagnostic_context: 2023-07-07T20:05:56.9357488Z - Return value: 2023-07-07T20:05:56.9357990Z [2023-07-07 20:05:55,690] torch.onnx: [WARNING] FX Node: call_function:aten.max_pool2d_with_indices.default[name=max_pool2d_with_indices]. 2023-07-07T20:05:56.9358386Z ONNX Node: aten_max_pool2d_with_indices[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9358584Z 2023-07-07T20:05:56.9358785Z [2023-07-07 20:05:55,690] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9359151Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9359381Z 2023-07-07T20:05:56.9359559Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9360043Z - self: 2023-07-07T20:05:56.9360520Z - node: fx.Node(max_pool2d_with_indices[call_function]'aten.max_pool2d_with_indices.default') 2023-07-07T20:05:56.9360842Z - aten_name: 2023-07-07T20:05:56.9361087Z - function_overloads: 2023-07-07T20:05:56.9361343Z - onnx_args: 2023-07-07T20:05:56.9361586Z - onnx_kwargs: 2023-07-07T20:05:56.9362007Z - diagnostic_context: 2023-07-07T20:05:56.9362479Z - Return value: 2023-07-07T20:05:56.9362920Z [2023-07-07 20:05:55,812] torch.onnx: [WARNING] FX Node: call_function:aten.amax.default[name=amax]. 2023-07-07T20:05:56.9363237Z ONNX Node: aten_amax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9363407Z 2023-07-07T20:05:56.9363607Z [2023-07-07 20:05:55,813] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9363983Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9364215Z 2023-07-07T20:05:56.9364600Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9365126Z - self: 2023-07-07T20:05:56.9365539Z - node: fx.Node(amax[call_function]'aten.amax.default') 2023-07-07T20:05:56.9365813Z - aten_name: 2023-07-07T20:05:56.9366102Z - function_overloads: 2023-07-07T20:05:56.9366357Z - onnx_args: 2023-07-07T20:05:56.9366601Z - onnx_kwargs: 2023-07-07T20:05:56.9367029Z - diagnostic_context: 2023-07-07T20:05:56.9367423Z - Return value: `OnnxFunction(aten_amax)` 2023-07-07T20:05:56.9367876Z [2023-07-07 20:05:55,818] torch.onnx: [WARNING] FX Node: call_function:aten.sum.dim_IntList[name=sum_1]. 2023-07-07T20:05:56.9368221Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9368403Z 2023-07-07T20:05:56.9368594Z [2023-07-07 20:05:55,818] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9368963Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9369193Z 2023-07-07T20:05:56.9369380Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9369863Z - self: 2023-07-07T20:05:56.9370268Z - node: fx.Node(sum_1[call_function]'aten.sum.dim_IntList') 2023-07-07T20:05:56.9370539Z - aten_name: 2023-07-07T20:05:56.9370794Z - function_overloads: 2023-07-07T20:05:56.9371032Z - onnx_args: 2023-07-07T20:05:56.9371273Z - onnx_kwargs: 2023-07-07T20:05:56.9371705Z - diagnostic_context: 2023-07-07T20:05:56.9372167Z - Return value: 2023-07-07T20:05:56.9372483Z PASSED [0.3635s] [ 28%] 2023-07-07T20:05:56.9373002Z onnx/test_fx_to_onnx.py::TestFxToOnnx::test_multiple_outputs_op_with_evaluator [2023-07-07 20:05:55,896] torch.onnx: [WARNING] FX Node: call_function:aten.sum.default[name=sum_1]. 2023-07-07T20:05:56.9373419Z ONNX Node: aten_sum_dim_IntList[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9373606Z 2023-07-07T20:05:56.9373796Z [2023-07-07 20:05:55,896] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9374162Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9374388Z 2023-07-07T20:05:56.9374575Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9375057Z - self: 2023-07-07T20:05:56.9375452Z - node: fx.Node(sum_1[call_function]'aten.sum.default') 2023-07-07T20:05:56.9375727Z - aten_name: 2023-07-07T20:05:56.9375980Z - function_overloads: 2023-07-07T20:05:56.9376218Z - onnx_args: 2023-07-07T20:05:56.9376456Z - onnx_kwargs: 2023-07-07T20:05:56.9376886Z - diagnostic_context: 2023-07-07T20:05:56.9377345Z - Return value: 2023-07-07T20:05:56.9377614Z PASSED [0.0485s] [ 42%] 2023-07-07T20:05:56.9378087Z onnx/test_fx_to_onnx.py::TestFxToOnnx::test_simple_function [2023-07-07 20:05:55,947] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:05:56.9378486Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9378651Z 2023-07-07T20:05:56.9378853Z [2023-07-07 20:05:55,947] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9379219Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9379477Z 2023-07-07T20:05:56.9379664Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9380155Z - self: 2023-07-07T20:05:56.9380596Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:05:56.9380879Z - aten_name: 2023-07-07T20:05:56.9381131Z - function_overloads: 2023-07-07T20:05:56.9381368Z - onnx_args: 2023-07-07T20:05:56.9381610Z - onnx_kwargs: 2023-07-07T20:05:56.9382039Z - diagnostic_context: 2023-07-07T20:05:56.9382481Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:05:56.9382711Z PASSED [0.0516s] [ 57%] 2023-07-07T20:05:56.9383217Z onnx/test_fx_to_onnx.py::TestFxToOnnx::test_trace_only_op_with_evaluator [2023-07-07 20:05:56,017] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin_1]. 2023-07-07T20:05:56.9383626Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9383786Z 2023-07-07T20:05:56.9383988Z [2023-07-07 20:05:56,018] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9384354Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9384663Z 2023-07-07T20:05:56.9384942Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9385688Z - self: 2023-07-07T20:05:56.9386356Z - node: fx.Node(argmin_1[call_function]'aten.argmin.default') 2023-07-07T20:05:56.9386799Z - aten_name: 2023-07-07T20:05:56.9387176Z - function_overloads: 2023-07-07T20:05:56.9387529Z - onnx_args: 2023-07-07T20:05:56.9387960Z - onnx_kwargs: 2023-07-07T20:05:56.9388616Z - diagnostic_context: 2023-07-07T20:05:56.9389305Z - Return value: 2023-07-07T20:05:56.9389987Z [2023-07-07 20:05:56,019] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax_1]. 2023-07-07T20:05:56.9390487Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9390735Z 2023-07-07T20:05:56.9391035Z [2023-07-07 20:05:56,019] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9391559Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9391905Z 2023-07-07T20:05:56.9392179Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9392890Z - self: 2023-07-07T20:05:56.9393504Z - node: fx.Node(argmax_1[call_function]'aten.argmax.default') 2023-07-07T20:05:56.9393917Z - aten_name: 2023-07-07T20:05:56.9394296Z - function_overloads: 2023-07-07T20:05:56.9394733Z - onnx_args: 2023-07-07T20:05:56.9395075Z - onnx_kwargs: 2023-07-07T20:05:56.9395719Z - diagnostic_context: 2023-07-07T20:05:56.9396428Z - Return value: 2023-07-07T20:05:56.9397082Z [2023-07-07 20:05:56,020] torch.onnx: [WARNING] FX Node: call_function:aten.argmin.default[name=argmin_2]. 2023-07-07T20:05:56.9397577Z ONNX Node: aten_argmin[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9397832Z 2023-07-07T20:05:56.9398130Z [2023-07-07 20:05:56,020] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9398659Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9399071Z 2023-07-07T20:05:56.9399349Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9400067Z - self: 2023-07-07T20:05:56.9400718Z - node: fx.Node(argmin_2[call_function]'aten.argmin.default') 2023-07-07T20:05:56.9401122Z - aten_name: 2023-07-07T20:05:56.9401500Z - function_overloads: 2023-07-07T20:05:56.9401866Z - onnx_args: 2023-07-07T20:05:56.9402208Z - onnx_kwargs: 2023-07-07T20:05:56.9402851Z - diagnostic_context: 2023-07-07T20:05:56.9403598Z - Return value: 2023-07-07T20:05:56.9404278Z [2023-07-07 20:05:56,021] torch.onnx: [WARNING] FX Node: call_function:aten.argmax.default[name=argmax_2]. 2023-07-07T20:05:56.9404925Z ONNX Node: aten_argmax[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9405183Z 2023-07-07T20:05:56.9405490Z [2023-07-07 20:05:56,021] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9406035Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9406263Z 2023-07-07T20:05:56.9406456Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9406930Z - self: 2023-07-07T20:05:56.9407351Z - node: fx.Node(argmax_2[call_function]'aten.argmax.default') 2023-07-07T20:05:56.9407634Z - aten_name: 2023-07-07T20:05:56.9407879Z - function_overloads: 2023-07-07T20:05:56.9408129Z - onnx_args: 2023-07-07T20:05:56.9408369Z - onnx_kwargs: 2023-07-07T20:05:56.9408861Z - diagnostic_context: 2023-07-07T20:05:56.9409347Z - Return value: 2023-07-07T20:05:56.9409614Z PASSED [0.0707s] [ 71%] 2023-07-07T20:05:56.9410179Z onnx/test_fx_to_onnx.py::TestFxToOnnx::test_unsupported_function_schema_with_op_level_debug [2023-07-07 20:05:56,088] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:56.9410644Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9410821Z 2023-07-07T20:05:56.9411021Z [2023-07-07 20:05:56,088] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:05:56.9411390Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:05:56.9411624Z 2023-07-07T20:05:56.9411812Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:05:56.9412280Z - self: 2023-07-07T20:05:56.9412728Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:56.9413025Z - aten_name: 2023-07-07T20:05:56.9413270Z - function_overloads: 2023-07-07T20:05:56.9413520Z - onnx_args: 2023-07-07T20:05:56.9413758Z - onnx_kwargs: 2023-07-07T20:05:56.9414180Z - diagnostic_context: 2023-07-07T20:05:56.9414652Z - Return value: 2023-07-07T20:05:56.9415473Z 2023-07-07 20:05:56.139717729 [W:onnxruntime:, model.cc:183 Model] ONNX Runtime only *guarantees* support for models stamped with opset version 7 or above for opset domain 'ai.onnx'. Please upgrade your model to opset 7 or higher. For now, this opset 1 model may run depending upon legacy support of some older opset version operators. 2023-07-07T20:05:56.9416245Z 2023-07-07 20:05:56.139869607 [W:onnxruntime:, ort_transpose_optimizer.cc:24 ApplyImpl] Transpose optimizer failed: Unsupported ONNX opset: 1 2023-07-07T20:05:56.9416802Z [2023-07-07 20:05:56,142] torch.onnx: [WARNING] FX Node: call_function:aten.convolution.default[name=convolution]. 2023-07-07T20:05:56.9417167Z ONNX Node: aten_convolution[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9417591Z [2023-07-07 20:05:56,142] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:56.9417842Z ### Exception log 2023-07-07T20:05:56.9418008Z ``` 2023-07-07T20:05:56.9418204Z Traceback (most recent call last): 2023-07-07T20:05:56.9418344Z 2023-07-07T20:05:56.9418685Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 124, in validate_op_between_ort_torch 2023-07-07T20:05:56.9419146Z ort_outputs = symbolic_fn(*input_onnx, **kwargs_onnx) 2023-07-07T20:05:56.9419303Z 2023-07-07T20:05:56.9419573Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 556, in __call__ 2023-07-07T20:05:56.9419882Z return self.func(*args, **kwargs) 2023-07-07T20:05:56.9420019Z 2023-07-07T20:05:56.9420343Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1580, in aten_convolution 2023-07-07T20:05:56.9420667Z result = _aten_convolution_onnx( 2023-07-07T20:05:56.9420805Z 2023-07-07T20:05:56.9421070Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 508, in __call__ 2023-07-07T20:05:56.9421412Z return evaluator.default().eval_function(self, args, kwargs) 2023-07-07T20:05:56.9421586Z 2023-07-07T20:05:56.9421866Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 313, in eval_function 2023-07-07T20:05:56.9422206Z result = function.function(*adapted_args, **adapted_kwargs) 2023-07-07T20:05:56.9422377Z 2023-07-07T20:05:56.9422737Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/function_libs/torch_lib/ops/core.py", line 1632, in _aten_convolution_onnx 2023-07-07T20:05:56.9423075Z result = op.Conv( 2023-07-07T20:05:56.9423196Z 2023-07-07T20:05:56.9423490Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/onnx_opset/_impl/opset11.py", line 553, in Conv 2023-07-07T20:05:56.9423770Z return op( 2023-07-07T20:05:56.9423881Z 2023-07-07T20:05:56.9424147Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/values.py", line 297, in __call__ 2023-07-07T20:05:56.9424480Z return evaluator.default().eval(schema, args, kwargs) 2023-07-07T20:05:56.9424644Z 2023-07-07T20:05:56.9424895Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 200, in eval 2023-07-07T20:05:56.9425237Z outputs = self._eval(schema, inputs, attributes, closure) 2023-07-07T20:05:56.9425401Z 2023-07-07T20:05:56.9425663Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 495, in _eval 2023-07-07T20:05:56.9425994Z return _call_ort(schema, inputs, attributes, closure) 2023-07-07T20:05:56.9426154Z 2023-07-07T20:05:56.9426410Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/onnxscript/evaluator.py", line 441, in _call_ort 2023-07-07T20:05:56.9426796Z node = onnx.helper.make_node(schema.name, inputs, outputs, domain=schema.domain, **kwargs) 2023-07-07T20:05:56.9427004Z 2023-07-07T20:05:56.9427262Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 162, in make_node 2023-07-07T20:05:56.9427559Z node.attribute.extend( 2023-07-07T20:05:56.9427680Z 2023-07-07T20:05:56.9427939Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 163, in 2023-07-07T20:05:56.9428227Z make_attribute(key, value) 2023-07-07T20:05:56.9428354Z 2023-07-07T20:05:56.9428615Z File "/var/lib/jenkins/.local/lib/python3.8/site-packages/onnx/helper.py", line 880, in make_attribute 2023-07-07T20:05:56.9428883Z raise ValueError( 2023-07-07T20:05:56.9429005Z 2023-07-07T20:05:56.9429219Z ValueError: Could not infer the attribute type from the elements of the passed Iterable value. 2023-07-07T20:05:56.9429424Z 2023-07-07T20:05:56.9429488Z ``` 2023-07-07T20:05:56.9429702Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:56.9430186Z - diagnostic_context: 2023-07-07T20:05:56.9430661Z - node: fx.Node(convolution[call_function]'aten.convolution.default') 2023-07-07T20:05:56.9431056Z - symbolic_fn: 2023-07-07T20:05:56.9431354Z - torch_args: 2023-07-07T20:05:56.9431603Z - torch_kwargs: 2023-07-07T20:05:56.9431859Z - Return value: 2023-07-07T20:05:56.9432090Z PASSED [0.1830s] [ 85%] 2023-07-07T20:05:56.9432675Z onnx/test_fx_to_onnx.py::TestFxToOnnx::test_unsupported_indices_fake_tensor_generated_with_op_level_debug [2023-07-07 20:05:56,276] torch.onnx: [WARNING] FX Node: call_function:aten.embedding.default[name=embedding]. 2023-07-07T20:05:56.9433141Z ONNX Node: aten_embedding[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:05:56.9433512Z [2023-07-07 20:05:56,276] torch.onnx: [WARNING] ### Op level debug is bypassed 2023-07-07T20:05:56.9433738Z ### Exception log 2023-07-07T20:05:56.9433912Z ``` 2023-07-07T20:05:56.9434101Z Traceback (most recent call last): 2023-07-07T20:05:56.9434237Z 2023-07-07T20:05:56.9434559Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/op_validation.py", line 81, in validate_op_between_ort_torch 2023-07-07T20:05:56.9435062Z expected_outputs = node.target(*torch_args, **torch_kwargs) # type: ignore[operator] 2023-07-07T20:05:56.9435262Z 2023-07-07T20:05:56.9435517Z File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_ops.py", line 437, in __call__ 2023-07-07T20:05:56.9435813Z return self._op(*args, **kwargs or {}) 2023-07-07T20:05:56.9435954Z 2023-07-07T20:05:56.9436044Z IndexError: index out of range in self 2023-07-07T20:05:56.9436238Z 2023-07-07T20:05:56.9436307Z ``` 2023-07-07T20:05:56.9436527Z ### Function Signature validate_op_between_ort_torch 2023-07-07T20:05:56.9436980Z - diagnostic_context: 2023-07-07T20:05:56.9437445Z - node: fx.Node(embedding[call_function]'aten.embedding.default') 2023-07-07T20:05:56.9437780Z - symbolic_fn: `OnnxFunction(aten_embedding)` 2023-07-07T20:05:56.9438044Z - torch_args: 2023-07-07T20:05:56.9438277Z - torch_kwargs: 2023-07-07T20:05:56.9438532Z - Return value: 2023-07-07T20:05:56.9438742Z PASSED [0.0696s] [100%] 2023-07-07T20:05:56.9438848Z 2023-07-07T20:05:56.9439202Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_fx_to_onnx/onnx.test_fx_to_onnx-be7292e35aeb1f69.xml - 2023-07-07T20:05:56.9439584Z ============================== 7 passed in 2.11s =============================== 2023-07-07T20:05:56.9439730Z 2023-07-07T20:05:56.9440056Z ##[endgroup] 2023-07-07T20:05:56.9440474Z FINISHED PRINTING LOG FILE of onnx/test_fx_to_onnx 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_to_onnx__jhoomig.log) 2023-07-07T20:05:56.9440717Z 2023-07-07T20:05:59.4179557Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:05:59.4187881Z Ignoring disabled issues: [''] 2023-07-07T20:06:00.6851666Z Running onnx/dynamo/test_exporter_api 1/1 ... [2023-07-07 20:06:00.684646] 2023-07-07T20:06:00.6852932Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/dynamo/test_exporter_api.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/dynamo/test_exporter_api_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:00.684919] 2023-07-07T20:06:05.3160846Z 2023-07-07T20:06:05.3161448Z Expand the folded group to see the log file of onnx/dynamo/test_exporter_api 1/1 2023-07-07T20:06:05.3162796Z ##[group]PRINTING LOG FILE of onnx/dynamo/test_exporter_api 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-dynamo-test_exporter_api_8klc_qbe.log) 2023-07-07T20:06:05.3164351Z Test results will be stored in test-reports/python-pytest/onnx.dynamo.test_exporter_api/onnx.dynamo.test_exporter_api-f381885324664d3e.xml 2023-07-07T20:06:05.3165349Z ============================= test session starts ============================== 2023-07-07T20:06:05.3166097Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:05.3166642Z cachedir: .pytest_cache 2023-07-07T20:06:05.3167461Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:05.3168151Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:05.3168545Z configfile: pytest.ini 2023-07-07T20:06:05.3169432Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:05.3170042Z collecting ... collected 17 items 2023-07-07T20:06:05.3174282Z Running 17 items in this shard: test/onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_dynamic_shapes_default, test/onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_dynamic_shapes_explicit, test/onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_logger_default, test/onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_logger_explicit, test/onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_opset_version_default, test/onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_opset_version_explicit, test/onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_raise_on_invalid_argument_type, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_default_export, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_export_with_options, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_raise_on_invalid_save_argument_type, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_sarif_log_to_file_with_failed_export, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_sarif_log_to_file_with_successful_export, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_existing_buffer_default_serializer, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_file_default_serializer, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_file_using_specified_serializer, test/onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_file_using_specified_serializer_without_inheritance, test/onnx/dynamo/test_exporter_api.py::TestProtobufExportOutputSerializerAPI::test_raise_on_invalid_argument_type 2023-07-07T20:06:05.3178188Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:05.3178450Z 2023-07-07T20:06:05.3178734Z onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_dynamic_shapes_default PASSED [1.0907s] [ 5%] 2023-07-07T20:06:05.3179392Z onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_dynamic_shapes_explicit PASSED [0.0282s] [ 11%] 2023-07-07T20:06:05.3180027Z onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_logger_default PASSED [0.0099s] [ 17%] 2023-07-07T20:06:05.3180745Z onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_logger_explicit PASSED [0.0084s] [ 23%] 2023-07-07T20:06:05.3181439Z onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_opset_version_default PASSED [0.0099s] [ 29%] 2023-07-07T20:06:05.3182099Z onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_opset_version_explicit PASSED [0.0089s] [ 35%] 2023-07-07T20:06:05.3182812Z onnx/dynamo/test_exporter_api.py::TestExportOptionsAPI::test_raise_on_invalid_argument_type PASSED [0.0028s] [ 41%] 2023-07-07T20:06:05.3183996Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_default_export [2023-07-07 20:06:04,065] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:06:05.3184881Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:06:05.3185163Z 2023-07-07T20:06:05.3185503Z [2023-07-07 20:06:04,065] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:06:05.3186133Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:06:05.3186494Z 2023-07-07T20:06:05.3186792Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:06:05.3187496Z - self: 2023-07-07T20:06:05.3188154Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:06:05.3188673Z - aten_name: 2023-07-07T20:06:05.3189048Z - function_overloads: 2023-07-07T20:06:05.3189450Z - onnx_args: 2023-07-07T20:06:05.3189837Z - onnx_kwargs: 2023-07-07T20:06:05.3190577Z - diagnostic_context: 2023-07-07T20:06:05.3191289Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:06:05.3191656Z PASSED [0.2678s] [ 47%] 2023-07-07T20:06:05.3192162Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_export_with_options PASSED [0.2286s] [ 52%] 2023-07-07T20:06:05.3192846Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_raise_on_invalid_save_argument_type PASSED [0.0018s] [ 58%] 2023-07-07T20:06:05.3193555Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_sarif_log_to_file_with_failed_export PASSED [0.0147s] [ 64%] 2023-07-07T20:06:05.3194681Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_sarif_log_to_file_with_successful_export [2023-07-07 20:06:04,371] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:06:05.3195746Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:06:05.3196073Z 2023-07-07T20:06:05.3196582Z [2023-07-07 20:06:04,371] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:06:05.3197223Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:06:05.3197642Z 2023-07-07T20:06:05.3197998Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:06:05.3198891Z - self: 2023-07-07T20:06:05.3199641Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:06:05.3200135Z - aten_name: 2023-07-07T20:06:05.3200602Z - function_overloads: 2023-07-07T20:06:05.3201054Z - onnx_args: 2023-07-07T20:06:05.3201470Z - onnx_kwargs: 2023-07-07T20:06:05.3202263Z - diagnostic_context: 2023-07-07T20:06:05.3203065Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:06:05.3203465Z PASSED [0.1168s] [ 70%] 2023-07-07T20:06:05.3204694Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_existing_buffer_default_serializer [2023-07-07 20:06:04,489] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:06:05.3205542Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:06:05.3205865Z 2023-07-07T20:06:05.3206243Z [2023-07-07 20:06:04,489] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:06:05.3206891Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:06:05.3207304Z 2023-07-07T20:06:05.3207663Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:06:05.3208568Z - self: 2023-07-07T20:06:05.3209344Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:06:05.3209979Z - aten_name: 2023-07-07T20:06:05.3210447Z - function_overloads: 2023-07-07T20:06:05.3210902Z - onnx_args: 2023-07-07T20:06:05.3211330Z - onnx_kwargs: 2023-07-07T20:06:05.3212223Z - diagnostic_context: 2023-07-07T20:06:05.3213023Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:06:05.3213414Z PASSED [0.0525s] [ 76%] 2023-07-07T20:06:05.3214436Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_file_default_serializer [2023-07-07 20:06:04,541] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:06:05.3215337Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:06:05.3215651Z 2023-07-07T20:06:05.3216027Z [2023-07-07 20:06:04,542] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:06:05.3216683Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:06:05.3217111Z 2023-07-07T20:06:05.3217465Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:06:05.3218365Z - self: 2023-07-07T20:06:05.3219144Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:06:05.3219644Z - aten_name: 2023-07-07T20:06:05.3220066Z - function_overloads: 2023-07-07T20:06:05.3220469Z - onnx_args: 2023-07-07T20:06:05.3220885Z - onnx_kwargs: 2023-07-07T20:06:05.3221652Z - diagnostic_context: 2023-07-07T20:06:05.3222434Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:06:05.3222840Z PASSED [0.0513s] [ 82%] 2023-07-07T20:06:05.3224012Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_file_using_specified_serializer [2023-07-07 20:06:04,595] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:06:05.3224864Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:06:05.3225195Z 2023-07-07T20:06:05.3225577Z [2023-07-07 20:06:04,595] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:06:05.3226238Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:06:05.3226667Z 2023-07-07T20:06:05.3227025Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:06:05.3227942Z - self: 2023-07-07T20:06:05.3228731Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:06:05.3229227Z - aten_name: 2023-07-07T20:06:05.3229704Z - function_overloads: 2023-07-07T20:06:05.3230175Z - onnx_args: 2023-07-07T20:06:05.3230603Z - onnx_kwargs: 2023-07-07T20:06:05.3231418Z - diagnostic_context: 2023-07-07T20:06:05.3232210Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:06:05.3232611Z PASSED [0.0528s] [ 88%] 2023-07-07T20:06:05.3233742Z onnx/dynamo/test_exporter_api.py::TestDynamoExportAPI::test_save_to_file_using_specified_serializer_without_inheritance [2023-07-07 20:06:04,648] torch.onnx: [WARNING] FX Node: call_function:aten.tensor.int[name=tensor_int]. 2023-07-07T20:06:05.3234628Z ONNX Node: aten_tensor_int[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:06:05.3235099Z 2023-07-07T20:06:05.3235444Z [2023-07-07 20:06:04,648] torch.onnx: [WARNING] ### Exact match is not found! 2023-07-07T20:06:05.3236062Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:06:05.3236455Z 2023-07-07T20:06:05.3236843Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:06:05.3237629Z - self: 2023-07-07T20:06:05.3238227Z - node: fx.Node(tensor_int[call_function]'aten.tensor.int') 2023-07-07T20:06:05.3238712Z - aten_name: 2023-07-07T20:06:05.3239071Z - function_overloads: 2023-07-07T20:06:05.3239413Z - onnx_args: 2023-07-07T20:06:05.3239724Z - onnx_kwargs: 2023-07-07T20:06:05.3240380Z - diagnostic_context: 2023-07-07T20:06:05.3241055Z - Return value: `OnnxFunction(aten_tensor_int)` 2023-07-07T20:06:05.3241510Z PASSED [0.0499s] [ 94%] 2023-07-07T20:06:05.3242130Z onnx/dynamo/test_exporter_api.py::TestProtobufExportOutputSerializerAPI::test_raise_on_invalid_argument_type PASSED [0.0011s] [100%] 2023-07-07T20:06:05.3242623Z 2023-07-07T20:06:05.3243354Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.dynamo.test_exporter_api/onnx.dynamo.test_exporter_api-f381885324664d3e.xml - 2023-07-07T20:06:05.3244038Z ============================== 17 passed in 2.09s ============================== 2023-07-07T20:06:05.3244273Z 2023-07-07T20:06:05.3244959Z ##[endgroup] 2023-07-07T20:06:05.3245826Z FINISHED PRINTING LOG FILE of onnx/dynamo/test_exporter_api 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-dynamo-test_exporter_api_8klc_qbe.log) 2023-07-07T20:06:05.3246215Z 2023-07-07T20:06:07.8690088Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:07.8699228Z Ignoring disabled issues: [''] 2023-07-07T20:06:09.1274743Z Running onnx/test_pytorch_onnx_no_runtime 1/1 ... [2023-07-07 20:06:09.127012] 2023-07-07T20:06:09.1275973Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_pytorch_onnx_no_runtime.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_pytorch_onnx_no_runtime_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:09.127246] 2023-07-07T20:06:13.3567354Z 2023-07-07T20:06:13.3568196Z Expand the folded group to see the log file of onnx/test_pytorch_onnx_no_runtime 1/1 2023-07-07T20:06:13.3570163Z ##[group]PRINTING LOG FILE of onnx/test_pytorch_onnx_no_runtime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_onnx_no_runtime_lapk6aat.log) 2023-07-07T20:06:13.3571693Z Test results will be stored in test-reports/python-pytest/onnx.test_pytorch_onnx_no_runtime/onnx.test_pytorch_onnx_no_runtime-731995706248fb2b.xml 2023-07-07T20:06:13.3572398Z ============================= test session starts ============================== 2023-07-07T20:06:13.3573079Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:13.3573575Z cachedir: .pytest_cache 2023-07-07T20:06:13.3574416Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:13.3575059Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:13.3575441Z configfile: pytest.ini 2023-07-07T20:06:13.3576273Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:13.3576900Z collecting ... collected 49 items 2023-07-07T20:06:13.3582772Z Running 49 items in this shard: test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_aten_fallback_must_fallback, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_caffe2_aten_fallback_must_fallback, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_caffe2_onnx_aten_must_not_fallback, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_cat_with_empty_tensor, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_clip_aten_fallback_due_exception, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_clip_aten_fallback_explicit_request, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_col2im, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_dropout_script, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_export_dict, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_export_dynamic_slice, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_export_tensoroption_to, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_fuse_addmm, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_initializer_sequence, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_initializer_sequence_script_model, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_is_fp_for_C_TypeList, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_listconstruct_erasure, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_maintain_dynamic_shapes_of_unreliable_nodes, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_aten, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_aten_fallback_must_not_fallback, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_checker_invalid_graph, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_func_with_warnings, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_inline_params, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_inline_script, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_inline_trace, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_module, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_module_if, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_module_loop, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_non_alpha_add_sub, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_python_fail, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_truediv, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_shape_reshape, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_speculate, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_proto_checker, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_transpose_incomplete_tensor_type, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_pack_padded_pad_packed_trace, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_pushpackingpastrnn_in_peephole_create_own_gather_input, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_rnn_trace_override, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_script_custom_class_error, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_shape_value_map, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_source_range_propagation, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_to__cpu_string, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_to__device_cpu_string, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_trace_detach_onnx_erase, test/onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_trace_fork_wait_inline_onnx, test/onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_aten_device_with_index, test/onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_composed_layer_norm_small_eps_fp16_keep_double, test/onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_lower_graph_conv2d, test/onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_lower_graph_conv3d, test/onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_lower_graph_linear 2023-07-07T20:06:13.3588118Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:13.3588314Z 2023-07-07T20:06:13.3588512Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_aten_fallback_must_fallback PASSED [0.2861s] [ 2%] 2023-07-07T20:06:13.3588956Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_caffe2_aten_fallback_must_fallback SKIPPED [0.0010s] (Caffe2 is not available) [ 4%] 2023-07-07T20:06:13.3589451Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_caffe2_onnx_aten_must_not_fallback SKIPPED [0.0008s] (Caffe2 is not available) [ 6%] 2023-07-07T20:06:13.3589862Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_cat_with_empty_tensor PASSED [0.0082s] [ 8%] 2023-07-07T20:06:13.3590265Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_clip_aten_fallback_due_exception PASSED [0.0131s] [ 10%] 2023-07-07T20:06:13.3590711Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_clip_aten_fallback_explicit_request PASSED [0.0044s] [ 12%] 2023-07-07T20:06:13.3591091Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_col2im PASSED [0.0119s] [ 14%] 2023-07-07T20:06:13.3591441Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_dropout_script PASSED [0.0125s] [ 16%] 2023-07-07T20:06:13.3591804Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_export_dict PASSED [0.0111s] [ 18%] 2023-07-07T20:06:13.3592179Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_export_dynamic_slice PASSED [0.0551s] [ 20%] 2023-07-07T20:06:13.3592566Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_export_tensoroption_to PASSED [0.0358s] [ 22%] 2023-07-07T20:06:13.3592926Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_fuse_addmm PASSED [0.0042s] [ 24%] 2023-07-07T20:06:13.3593299Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_initializer_sequence PASSED [0.0069s] [ 26%] 2023-07-07T20:06:13.3593693Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_initializer_sequence_script_model PASSED [0.0225s] [ 28%] 2023-07-07T20:06:13.3594108Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_is_fp_for_C_TypeList PASSED [0.0167s] [ 30%] 2023-07-07T20:06:13.3594493Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_listconstruct_erasure PASSED [0.0044s] [ 32%] 2023-07-07T20:06:13.3595272Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_maintain_dynamic_shapes_of_unreliable_nodes [W shape_type_inference.cpp:1960] Warning: The shape inference of com.microsoft::PythonOp type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3595904Z PASSED [0.0164s] [ 34%] 2023-07-07T20:06:13.3596186Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_aten PASSED [0.0032s] [ 36%] 2023-07-07T20:06:13.3596567Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_aten_fallback_must_not_fallback PASSED [0.0090s] [ 38%] 2023-07-07T20:06:13.3596977Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_checker_invalid_graph PASSED [0.0038s] [ 40%] 2023-07-07T20:06:13.3597376Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_func_with_warnings PASSED [0.0051s] [ 42%] 2023-07-07T20:06:13.3597781Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_inline_params PASSED [0.0104s] [ 44%] 2023-07-07T20:06:13.3598174Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_inline_script PASSED [0.0093s] [ 46%] 2023-07-07T20:06:13.3598580Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_inline_trace PASSED [0.0094s] [ 48%] 2023-07-07T20:06:13.3598982Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_module PASSED [0.0048s] [ 51%] 2023-07-07T20:06:13.3599382Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_module_if PASSED [0.0094s] [ 53%] 2023-07-07T20:06:13.3599769Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_module_loop PASSED [0.0150s] [ 55%] 2023-07-07T20:06:13.3600211Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_non_alpha_add_sub PASSED [0.0065s] [ 57%] 2023-07-07T20:06:13.3600618Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_python_fail PASSED [0.0053s] [ 59%] 2023-07-07T20:06:13.3601042Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_script_truediv PASSED [0.0081s] [ 61%] 2023-07-07T20:06:13.3601421Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_shape_reshape PASSED [0.0109s] [ 63%] 2023-07-07T20:06:13.3601810Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_export_speculate PASSED [0.0287s] [ 65%] 2023-07-07T20:06:13.3602222Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_proto_checker PASSED [0.0034s] [ 67%] 2023-07-07T20:06:13.3602604Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_onnx_transpose_incomplete_tensor_type PASSED [0.0136s] [ 69%] 2023-07-07T20:06:13.3603269Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_pack_padded_pad_packed_trace [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3604047Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3604942Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3605683Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3606116Z PASSED [0.0211s] [ 71%] 2023-07-07T20:06:13.3606703Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_pushpackingpastrnn_in_peephole_create_own_gather_input [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3607524Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3608208Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3608879Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3609385Z Exported graph: graph(%input : Float(11, *, 7, strides=[35, 7, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3609685Z %seq_len : Int(5, strides=[1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3609981Z %onnx::LSTM_286 : Float(1, 28, 7, strides=[196, 7, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3610285Z %onnx::LSTM_287 : Float(1, 28, 7, strides=[196, 7, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3610597Z %onnx::LSTM_288 : Float(1, 56, strides=[56, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3610889Z %onnx::LSTM_306 : Float(1, 28, 7, strides=[196, 7, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3611243Z %onnx::LSTM_307 : Float(1, 28, 7, strides=[196, 7, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3611544Z %onnx::LSTM_308 : Float(1, 56, strides=[56, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3611847Z %onnx::LSTM_326 : Float(1, 28, 7, strides=[196, 7, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3612180Z %onnx::LSTM_327 : Float(1, 28, 7, strides=[196, 7, 1], requires_grad=0, device=cpu), 2023-07-07T20:06:13.3612481Z %onnx::LSTM_328 : Float(1, 56, strides=[56, 1], requires_grad=0, device=cpu)): 2023-07-07T20:06:13.3613303Z %/Shape_output_0 : Long(3, strides=[1], device=cpu) = onnx::Shape[onnx_name="/Shape"](%input), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py:264:0 2023-07-07T20:06:13.3614131Z %/Shape_1_output_0 : Long(3, strides=[1], device=cpu) = onnx::Shape[onnx_name="/Shape_1"](%input), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:904:0 2023-07-07T20:06:13.3614871Z %/Constant_output_0 : Long(device=cpu) = onnx::Constant[value={1}, onnx_name="/Constant"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:904:0 2023-07-07T20:06:13.3615628Z %/Gather_output_0 : Long(device=cpu) = onnx::Gather[axis=0, onnx_name="/Gather"](%/Shape_1_output_0, %/Constant_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:904:0 2023-07-07T20:06:13.3616433Z %/Constant_1_output_0 : Long(requires_grad=0, device=cpu) = onnx::Constant[value={0}, onnx_name="/Constant_1"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:904:0 2023-07-07T20:06:13.3617172Z %/Cast_output_0 : Long(device=cpu) = onnx::Cast[to=7, onnx_name="/Cast"](%/Gather_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:904:0 2023-07-07T20:06:13.3617880Z %/Constant_2_output_0 : Long(device=cpu) = onnx::Constant[value={1}, onnx_name="/Constant_2"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:904:0 2023-07-07T20:06:13.3618679Z %/Range_output_0 : Long(*, strides=[1], requires_grad=0, device=cpu) = onnx::Range[onnx_name="/Range"](%/Constant_1_output_0, %/Cast_output_0, %/Constant_2_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:904:0 2023-07-07T20:06:13.3619524Z %/Gather_1_output_0 : Int(*, strides=[1], requires_grad=0, device=cpu) = onnx::Gather[axis=0, onnx_name="/Gather_1"](%seq_len, %/Range_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:905:0 2023-07-07T20:06:13.3620604Z %/Cast_1_output_0 : Long(*, strides=[1], requires_grad=0, device=cpu) = onnx::Cast[to=7, onnx_name="/Cast_1"](%/Gather_1_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py:253:0 2023-07-07T20:06:13.3621637Z %/Cast_2_output_0 : Int(*, device=cpu) = onnx::Cast[to=6, onnx_name="/Cast_2"](%/Cast_1_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py:264:0 2023-07-07T20:06:13.3622672Z %/Constant_3_output_0 : Long(device=cpu) = onnx::Constant[value={1}, onnx_name="/Constant_3"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/utils/rnn.py:264:0 2023-07-07T20:06:13.3623513Z %/Gather_2_output_0 : Long(requires_grad=0, device=cpu) = onnx::Gather[axis=0, onnx_name="/Gather_2"](%/Shape_output_0, %/Constant_3_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:908:0 2023-07-07T20:06:13.3624275Z %/Constant_4_output_0 : Long(1, strides=[1], requires_grad=0, device=cpu) = onnx::Constant[value={3}, onnx_name="/Constant_4"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: 2023-07-07T20:06:13.3624813Z %onnx::Unsqueeze_32 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}]() 2023-07-07T20:06:13.3625359Z %/Unsqueeze_output_0 : Long(1, strides=[1], device=cpu) = onnx::Unsqueeze[onnx_name="/Unsqueeze"](%/Gather_2_output_0, %onnx::Unsqueeze_32), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: 2023-07-07T20:06:13.3626072Z %/Constant_5_output_0 : Long(1, strides=[1], requires_grad=0, device=cpu) = onnx::Constant[value={7}, onnx_name="/Constant_5"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: 2023-07-07T20:06:13.3626852Z %/Concat_output_0 : Long(3, strides=[1], device=cpu) = onnx::Concat[axis=0, onnx_name="/Concat"](%/Constant_4_output_0, %/Unsqueeze_output_0, %/Constant_5_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:909:0 2023-07-07T20:06:13.3627645Z %/Constant_6_output_0 : Long(1, strides=[1], requires_grad=0, device=cpu) = onnx::Constant[value={3}, onnx_name="/Constant_6"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: 2023-07-07T20:06:13.3628137Z %onnx::Unsqueeze_39 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}]() 2023-07-07T20:06:13.3628672Z %/Unsqueeze_1_output_0 : Long(1, strides=[1], device=cpu) = onnx::Unsqueeze[onnx_name="/Unsqueeze_1"](%/Gather_2_output_0, %onnx::Unsqueeze_39), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: 2023-07-07T20:06:13.3629377Z %/Constant_7_output_0 : Long(1, strides=[1], requires_grad=0, device=cpu) = onnx::Constant[value={7}, onnx_name="/Constant_7"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: 2023-07-07T20:06:13.3630154Z %/Concat_1_output_0 : Long(3, strides=[1], device=cpu) = onnx::Concat[axis=0, onnx_name="/Concat_1"](%/Constant_6_output_0, %/Unsqueeze_1_output_0, %/Constant_7_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:910:0 2023-07-07T20:06:13.3631008Z %/ConstantOfShape_output_0 : Float(*, *, *, device=cpu) = onnx::ConstantOfShape[value={0}, onnx_name="/ConstantOfShape"](%/Concat_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:909:0 2023-07-07T20:06:13.3631896Z %/RandomNormalLike_output_0 : Float(*, *, *, strides=[35, 7, 1], requires_grad=0, device=cpu) = onnx::RandomNormalLike[dtype=1, onnx_name="/RandomNormalLike"](%/ConstantOfShape_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:909:0 2023-07-07T20:06:13.3632811Z %/ConstantOfShape_1_output_0 : Float(*, *, *, device=cpu) = onnx::ConstantOfShape[value={0}, onnx_name="/ConstantOfShape_1"](%/Concat_1_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:910:0 2023-07-07T20:06:13.3633719Z %/RandomNormalLike_1_output_0 : Float(*, *, *, strides=[35, 7, 1], requires_grad=0, device=cpu) = onnx::RandomNormalLike[dtype=1, onnx_name="/RandomNormalLike_1"](%/ConstantOfShape_1_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper:: # onnx/test_pytorch_onnx_no_runtime.py:910:0 2023-07-07T20:06:13.3634887Z %/rnn/Constant_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3636160Z %/rnn/Constant_1_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant_1"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3637309Z %/rnn/Constant_2_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={1}, onnx_name="/rnn/Constant_2"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3638632Z %/rnn/Slice_output_0 : Float(*, *, *, device=cpu) = onnx::Slice[onnx_name="/rnn/Slice"](%/RandomNormalLike_output_0, %/rnn/Constant_1_output_0, %/rnn/Constant_2_output_0, %/rnn/Constant_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3650091Z %/rnn/Constant_3_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant_3"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3651256Z %/rnn/Constant_4_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant_4"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3652430Z %/rnn/Constant_5_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={1}, onnx_name="/rnn/Constant_5"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3653714Z %/rnn/Slice_1_output_0 : Float(*, *, *, device=cpu) = onnx::Slice[onnx_name="/rnn/Slice_1"](%/RandomNormalLike_1_output_0, %/rnn/Constant_4_output_0, %/rnn/Constant_5_output_0, %/rnn/Constant_3_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3655372Z %/rnn/LSTM_output_0 : Float(11, 1, *, 7, device=cpu), %/rnn/LSTM_output_1 : Float(1, *, 7, device=cpu), %/rnn/LSTM_output_2 : Float(1, *, 7, device=cpu) = onnx::LSTM[hidden_size=7, onnx_name="/rnn/LSTM"](%input, %onnx::LSTM_286, %onnx::LSTM_287, %onnx::LSTM_288, %/Cast_2_output_0, %/rnn/Slice_output_0, %/rnn/Slice_1_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3656738Z %/rnn/Constant_6_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={1}, onnx_name="/rnn/Constant_6"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3657978Z %/rnn/Squeeze_output_0 : Float(11, *, 7, device=cpu) = onnx::Squeeze[onnx_name="/rnn/Squeeze"](%/rnn/LSTM_output_0, %/rnn/Constant_6_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3659161Z %/rnn/Constant_7_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant_7"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3660298Z %/rnn/Constant_8_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={1}, onnx_name="/rnn/Constant_8"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3661486Z %/rnn/Constant_9_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={2}, onnx_name="/rnn/Constant_9"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3662776Z %/rnn/Slice_2_output_0 : Float(*, *, *, device=cpu) = onnx::Slice[onnx_name="/rnn/Slice_2"](%/RandomNormalLike_output_0, %/rnn/Constant_8_output_0, %/rnn/Constant_9_output_0, %/rnn/Constant_7_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3664002Z %/rnn/Constant_10_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant_10"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3665147Z %/rnn/Constant_11_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={1}, onnx_name="/rnn/Constant_11"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3666279Z %/rnn/Constant_12_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={2}, onnx_name="/rnn/Constant_12"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3667632Z %/rnn/Slice_3_output_0 : Float(*, *, *, device=cpu) = onnx::Slice[onnx_name="/rnn/Slice_3"](%/RandomNormalLike_1_output_0, %/rnn/Constant_11_output_0, %/rnn/Constant_12_output_0, %/rnn/Constant_10_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3669254Z %/rnn/LSTM_1_output_0 : Float(11, 1, *, 7, device=cpu), %/rnn/LSTM_1_output_1 : Float(1, *, 7, device=cpu), %/rnn/LSTM_1_output_2 : Float(1, *, 7, device=cpu) = onnx::LSTM[hidden_size=7, onnx_name="/rnn/LSTM_1"](%/rnn/Squeeze_output_0, %onnx::LSTM_306, %onnx::LSTM_307, %onnx::LSTM_308, %/Cast_2_output_0, %/rnn/Slice_2_output_0, %/rnn/Slice_3_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3670613Z %/rnn/Constant_13_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={1}, onnx_name="/rnn/Constant_13"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3671812Z %/rnn/Squeeze_1_output_0 : Float(11, *, 7, device=cpu) = onnx::Squeeze[onnx_name="/rnn/Squeeze_1"](%/rnn/LSTM_1_output_0, %/rnn/Constant_13_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3673026Z %/rnn/Constant_14_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant_14"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3674156Z %/rnn/Constant_15_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={2}, onnx_name="/rnn/Constant_15"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3675368Z %/rnn/Constant_16_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={3}, onnx_name="/rnn/Constant_16"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3676656Z %/rnn/Slice_4_output_0 : Float(*, *, *, device=cpu) = onnx::Slice[onnx_name="/rnn/Slice_4"](%/RandomNormalLike_output_0, %/rnn/Constant_15_output_0, %/rnn/Constant_16_output_0, %/rnn/Constant_14_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3677888Z %/rnn/Constant_17_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={0}, onnx_name="/rnn/Constant_17"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3679041Z %/rnn/Constant_18_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={2}, onnx_name="/rnn/Constant_18"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3680254Z %/rnn/Constant_19_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={3}, onnx_name="/rnn/Constant_19"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3681532Z %/rnn/Slice_5_output_0 : Float(*, *, *, device=cpu) = onnx::Slice[onnx_name="/rnn/Slice_5"](%/RandomNormalLike_1_output_0, %/rnn/Constant_18_output_0, %/rnn/Constant_19_output_0, %/rnn/Constant_17_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3683150Z %/rnn/LSTM_2_output_0 : Float(11, 1, *, 7, device=cpu), %/rnn/LSTM_2_output_1 : Float(1, *, 7, device=cpu), %/rnn/LSTM_2_output_2 : Float(1, *, 7, device=cpu) = onnx::LSTM[hidden_size=7, onnx_name="/rnn/LSTM_2"](%/rnn/Squeeze_1_output_0, %onnx::LSTM_326, %onnx::LSTM_327, %onnx::LSTM_328, %/Cast_2_output_0, %/rnn/Slice_4_output_0, %/rnn/Slice_5_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3684606Z %/rnn/Constant_20_output_0 : Long(1, strides=[1], device=cpu) = onnx::Constant[value={1}, onnx_name="/rnn/Constant_20"](), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3685886Z %263 : Float(11, *, 7, strides=[35, 7, 1], requires_grad=1, device=cpu) = onnx::Squeeze[onnx_name="/rnn/Squeeze_2"](%/rnn/LSTM_2_output_0, %/rnn/Constant_20_output_0), scope: __main__.TestONNXExport.test_pushpackingpastrnn_in_peephole_create_own_gather_input..LSTMTraceWrapper::/torch.nn.modules.rnn.LSTM::rnn # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/rnn.py:836:0 2023-07-07T20:06:13.3686461Z return (%263) 2023-07-07T20:06:13.3686577Z 2023-07-07T20:06:13.3686656Z PASSED [0.0786s] [ 73%] 2023-07-07T20:06:13.3687205Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_rnn_trace_override [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3687973Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3688663Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3689354Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3690047Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3690737Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3691505Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3692170Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3692845Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3693566Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PackPadded type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3694253Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3694934Z [W shape_type_inference.cpp:1960] Warning: The shape inference of prim::PadPacked type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:13.3695354Z PASSED [0.2844s] [ 75%] 2023-07-07T20:06:13.3695644Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_script_custom_class_error PASSED [0.0094s] [ 77%] 2023-07-07T20:06:13.3696059Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_shape_value_map PASSED [0.0105s] [ 79%] 2023-07-07T20:06:13.3696454Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_source_range_propagation PASSED [0.0074s] [ 81%] 2023-07-07T20:06:13.3696825Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_to__cpu_string PASSED [0.0045s] [ 83%] 2023-07-07T20:06:13.3697204Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_to__device_cpu_string PASSED [0.0042s] [ 85%] 2023-07-07T20:06:13.3697590Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_trace_detach_onnx_erase PASSED [0.0028s] [ 87%] 2023-07-07T20:06:13.3697980Z onnx/test_pytorch_onnx_no_runtime.py::TestONNXExport::test_trace_fork_wait_inline_onnx PASSED [0.0026s] [ 89%] 2023-07-07T20:06:13.3698417Z onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_aten_device_with_index SKIPPED [0.0006s] (CUDA is not available) [ 91%] 2023-07-07T20:06:13.3698953Z onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_composed_layer_norm_small_eps_fp16_keep_double SKIPPED [0.0006s] (CUDA is not available) [ 93%] 2023-07-07T20:06:13.3699472Z onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_lower_graph_conv2d SKIPPED [0.0006s] (Caffe2 is not available) [ 95%] 2023-07-07T20:06:13.3700029Z onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_lower_graph_conv3d SKIPPED [0.0002s] (onnx opset9 does not support quantize_per_tensor and caffe2 does not support conv3d) [ 97%] 2023-07-07T20:06:13.3701250Z onnx/test_pytorch_onnx_no_runtime.py::TestQuantizeEagerONNXExport::test_lower_graph_linear SKIPPED [0.0007s] (Caffe2 is not available) [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:06:13.3701918Z _C._set_default_tensor_type(t) 2023-07-07T20:06:13.3702084Z 2023-07-07T20:06:13.3702092Z 2023-07-07T20:06:13.3702485Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_pytorch_onnx_no_runtime/onnx.test_pytorch_onnx_no_runtime-731995706248fb2b.xml - 2023-07-07T20:06:13.3702899Z ======================== 42 passed, 7 skipped in 1.23s ========================= 2023-07-07T20:06:13.3703081Z 2023-07-07T20:06:13.3703419Z ##[endgroup] 2023-07-07T20:06:13.3703889Z FINISHED PRINTING LOG FILE of onnx/test_pytorch_onnx_no_runtime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_onnx_no_runtime_lapk6aat.log) 2023-07-07T20:06:13.3704162Z 2023-07-07T20:06:15.8880599Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:15.8888807Z Ignoring disabled issues: [''] 2023-07-07T20:06:17.1570446Z Running onnx/test_verification 1/1 ... [2023-07-07 20:06:17.156433] 2023-07-07T20:06:17.1571746Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_verification.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_verification_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:17.156732] 2023-07-07T20:06:20.3856191Z 2023-07-07T20:06:20.3856759Z Expand the folded group to see the log file of onnx/test_verification 1/1 2023-07-07T20:06:20.3857908Z ##[group]PRINTING LOG FILE of onnx/test_verification 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_verification_7824g1ee.log) 2023-07-07T20:06:20.3858636Z Test results will be stored in test-reports/python-pytest/onnx.test_verification/onnx.test_verification-a6078f2ba36922ac.xml 2023-07-07T20:06:20.3859037Z ============================= test session starts ============================== 2023-07-07T20:06:20.3859474Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:20.3859760Z cachedir: .pytest_cache 2023-07-07T20:06:20.3860481Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:20.3860904Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:20.3861121Z configfile: pytest.ini 2023-07-07T20:06:20.3861644Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:20.3861994Z collecting ... collected 12 items 2023-07-07T20:06:20.3864091Z Running 12 items in this shard: test/onnx/test_verification.py::TestVerification::test_check_export_model_diff_returns_diff_when_constant_mismatch, test/onnx/test_verification.py::TestVerification::test_check_export_model_diff_returns_diff_when_dynamic_controlflow_mismatch, test/onnx/test_verification.py::TestVerification::test_check_export_model_diff_returns_empty_when_correct_export, test/onnx/test_verification.py::TestVerification::test_compare_ort_pytorch_outputs_no_raise_with_acceptable_error_percentage, test/onnx/test_verification.py::TestVerification::test_compare_ort_pytorch_outputs_raise_without_acceptable_error_percentage, test/onnx/test_verification.py::TestVerificationOnWrongExport::test_verify_found_mismatch_when_export_is_wrong_onnx_backend_OnnxBackend_ONNX_RUNTIME_CPU, test/onnx/test_verification.py::TestVerificationOnWrongExport::test_verify_found_mismatch_when_export_is_wrong_onnx_backend_OnnxBackend_REFERENCE, test/onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_export_repro_for_mismatch, test/onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_find_all_mismatch_operators, test/onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_find_mismatch_prints_correct_info_when_no_mismatch, test/onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_preserve_mismatch_source_location, test/onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_pretty_print_tree_visualizes_mismatch 2023-07-07T20:06:20.3866233Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:20.3866469Z 2023-07-07T20:06:20.3866697Z onnx/test_verification.py::TestVerification::test_check_export_model_diff_returns_diff_when_constant_mismatch PASSED [0.2742s] [ 8%] 2023-07-07T20:06:20.3867220Z onnx/test_verification.py::TestVerification::test_check_export_model_diff_returns_diff_when_dynamic_controlflow_mismatch PASSED [0.0076s] [ 16%] 2023-07-07T20:06:20.3867798Z onnx/test_verification.py::TestVerification::test_check_export_model_diff_returns_empty_when_correct_export PASSED [0.0157s] [ 25%] 2023-07-07T20:06:20.3868273Z onnx/test_verification.py::TestVerification::test_compare_ort_pytorch_outputs_no_raise_with_acceptable_error_percentage PASSED [0.0030s] [ 33%] 2023-07-07T20:06:20.3868809Z onnx/test_verification.py::TestVerification::test_compare_ort_pytorch_outputs_raise_without_acceptable_error_percentage PASSED [0.0014s] [ 41%] 2023-07-07T20:06:20.3869448Z onnx/test_verification.py::TestVerificationOnWrongExport::test_verify_found_mismatch_when_export_is_wrong_onnx_backend_OnnxBackend_ONNX_RUNTIME_CPU PASSED [0.0253s] [ 50%] 2023-07-07T20:06:20.3870071Z onnx/test_verification.py::TestVerificationOnWrongExport::test_verify_found_mismatch_when_export_is_wrong_onnx_backend_OnnxBackend_REFERENCE PASSED [0.0605s] [ 58%] 2023-07-07T20:06:20.3870566Z onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_export_repro_for_mismatch PASSED [0.0642s] [ 66%] 2023-07-07T20:06:20.3871057Z onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_find_all_mismatch_operators PASSED [0.0680s] [ 75%] 2023-07-07T20:06:20.3871552Z onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_find_mismatch_prints_correct_info_when_no_mismatch PASSED [0.0730s] [ 83%] 2023-07-07T20:06:20.3872016Z onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_preserve_mismatch_source_location PASSED [0.0666s] [ 91%] 2023-07-07T20:06:20.3873284Z onnx/test_verification.py::TestFindMismatch_ONNX_RUNTIME_CPU::test_pretty_print_tree_visualizes_mismatch PASSED [0.0547s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:06:20.3874010Z _C._set_default_tensor_type(t) 2023-07-07T20:06:20.3874139Z 2023-07-07T20:06:20.3874143Z 2023-07-07T20:06:20.3874547Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_verification/onnx.test_verification-a6078f2ba36922ac.xml - 2023-07-07T20:06:20.3875021Z ============================== 12 passed in 0.80s ============================== 2023-07-07T20:06:20.3875178Z 2023-07-07T20:06:20.3875506Z ##[endgroup] 2023-07-07T20:06:20.3875955Z FINISHED PRINTING LOG FILE of onnx/test_verification 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_verification_7824g1ee.log) 2023-07-07T20:06:20.3876269Z 2023-07-07T20:06:22.9408688Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:22.9418410Z Ignoring disabled issues: [''] 2023-07-07T20:06:24.2137540Z Running onnx/test_export_modes 1/1 ... [2023-07-07 20:06:24.213346] 2023-07-07T20:06:24.2138903Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_export_modes.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_export_modes_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:24.213583] 2023-07-07T20:06:27.4920035Z 2023-07-07T20:06:27.4920624Z Expand the folded group to see the log file of onnx/test_export_modes 1/1 2023-07-07T20:06:27.4921724Z ##[group]PRINTING LOG FILE of onnx/test_export_modes 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_export_modes_zf0m5v53.log) 2023-07-07T20:06:27.4922932Z Test results will be stored in test-reports/python-pytest/onnx.test_export_modes/onnx.test_export_modes-5ab060a3634dab03.xml 2023-07-07T20:06:27.4923692Z ============================= test session starts ============================== 2023-07-07T20:06:27.4924328Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:27.4924925Z cachedir: .pytest_cache 2023-07-07T20:06:27.4925797Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:27.4926345Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:27.4926656Z configfile: pytest.ini 2023-07-07T20:06:27.4927418Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:27.4928112Z collecting ... collected 8 items 2023-07-07T20:06:27.4929392Z Running 8 items in this shard: test/onnx/test_export_modes.py::TestExportModes::test_aten_fallback, test/onnx/test_export_modes.py::TestExportModes::test_caffe2_aten_fallback, test/onnx/test_export_modes.py::TestExportModes::test_compressed_zipfile, test/onnx/test_export_modes.py::TestExportModes::test_directory, test/onnx/test_export_modes.py::TestExportModes::test_onnx_aten, test/onnx/test_export_modes.py::TestExportModes::test_onnx_multiple_return, test/onnx/test_export_modes.py::TestExportModes::test_protobuf, test/onnx/test_export_modes.py::TestExportModes::test_zipfile 2023-07-07T20:06:27.4930728Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:27.4931000Z 2023-07-07T20:06:27.4931320Z onnx/test_export_modes.py::TestExportModes::test_aten_fallback PASSED [0.5974s] [ 12%] 2023-07-07T20:06:27.4932060Z onnx/test_export_modes.py::TestExportModes::test_caffe2_aten_fallback SKIPPED [0.0012s] (Caffe2 is not available) [ 25%] 2023-07-07T20:06:27.4932696Z onnx/test_export_modes.py::TestExportModes::test_compressed_zipfile PASSED [0.0253s] [ 37%] 2023-07-07T20:06:27.4933212Z onnx/test_export_modes.py::TestExportModes::test_directory PASSED [0.0046s] [ 50%] 2023-07-07T20:06:27.4933885Z onnx/test_export_modes.py::TestExportModes::test_onnx_aten PASSED [0.0048s] [ 62%] 2023-07-07T20:06:27.4934471Z onnx/test_export_modes.py::TestExportModes::test_onnx_multiple_return PASSED [0.0090s] [ 75%] 2023-07-07T20:06:27.4935120Z onnx/test_export_modes.py::TestExportModes::test_protobuf PASSED [0.0039s] [ 87%] 2023-07-07T20:06:27.4936957Z onnx/test_export_modes.py::TestExportModes::test_zipfile PASSED [0.0044s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:06:27.4938104Z _C._set_default_tensor_type(t) 2023-07-07T20:06:27.4938327Z 2023-07-07T20:06:27.4938333Z 2023-07-07T20:06:27.4938922Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_export_modes/onnx.test_export_modes-5ab060a3634dab03.xml - 2023-07-07T20:06:27.4939546Z ========================= 7 passed, 1 skipped in 0.72s ========================= 2023-07-07T20:06:27.4939773Z 2023-07-07T20:06:27.4940342Z ##[endgroup] 2023-07-07T20:06:27.4941092Z FINISHED PRINTING LOG FILE of onnx/test_export_modes 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_export_modes_zf0m5v53.log) 2023-07-07T20:06:27.4941481Z 2023-07-07T20:06:29.9783541Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:29.9792848Z Ignoring disabled issues: [''] 2023-07-07T20:06:31.2354024Z Running onnx/test_onnx_opset 1/1 ... [2023-07-07 20:06:31.234990] 2023-07-07T20:06:31.2355431Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_onnx_opset.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_onnx_opset_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:31.235242] 2023-07-07T20:06:34.3145868Z 2023-07-07T20:06:34.3146362Z Expand the folded group to see the log file of onnx/test_onnx_opset 1/1 2023-07-07T20:06:34.3147418Z ##[group]PRINTING LOG FILE of onnx/test_onnx_opset 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_onnx_opset_y0wib24j.log) 2023-07-07T20:06:34.3148632Z Test results will be stored in test-reports/python-pytest/onnx.test_onnx_opset/onnx.test_onnx_opset-bb1db03ef06e029c.xml 2023-07-07T20:06:34.3149170Z ============================= test session starts ============================== 2023-07-07T20:06:34.3149769Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:34.3150179Z cachedir: .pytest_cache 2023-07-07T20:06:34.3150827Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:34.3151438Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:34.3151757Z configfile: pytest.ini 2023-07-07T20:06:34.3152455Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:34.3152978Z collecting ... collected 12 items 2023-07-07T20:06:34.3154519Z Running 12 items in this shard: test/onnx/test_onnx_opset.py::TestONNXOpset::test_cast_constant, test/onnx/test_onnx_opset.py::TestONNXOpset::test_dropout, test/onnx/test_onnx_opset.py::TestONNXOpset::test_flatten, test/onnx/test_onnx_opset.py::TestONNXOpset::test_flip, test/onnx/test_onnx_opset.py::TestONNXOpset::test_full, test/onnx/test_onnx_opset.py::TestONNXOpset::test_grid_sample, test/onnx/test_onnx_opset.py::TestONNXOpset::test_interpolate, test/onnx/test_onnx_opset.py::TestONNXOpset::test_maxpool, test/onnx/test_onnx_opset.py::TestONNXOpset::test_opset_fallback, test/onnx/test_onnx_opset.py::TestONNXOpset::test_slice, test/onnx/test_onnx_opset.py::TestONNXOpset::test_topk, test/onnx/test_onnx_opset.py::TestONNXOpset::test_upsample 2023-07-07T20:06:34.3156152Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:34.3156392Z 2023-07-07T20:06:34.3156634Z onnx/test_onnx_opset.py::TestONNXOpset::test_cast_constant PASSED [0.2816s] [ 8%] 2023-07-07T20:06:34.3157137Z onnx/test_onnx_opset.py::TestONNXOpset::test_dropout PASSED [0.0142s] [ 16%] 2023-07-07T20:06:34.3157637Z onnx/test_onnx_opset.py::TestONNXOpset::test_flatten PASSED [0.0127s] [ 25%] 2023-07-07T20:06:34.3158142Z onnx/test_onnx_opset.py::TestONNXOpset::test_flip PASSED [0.0047s] [ 33%] 2023-07-07T20:06:34.3158686Z onnx/test_onnx_opset.py::TestONNXOpset::test_full PASSED [0.0124s] [ 41%] 2023-07-07T20:06:34.3159273Z onnx/test_onnx_opset.py::TestONNXOpset::test_grid_sample PASSED [0.1044s] [ 50%] 2023-07-07T20:06:34.3159821Z onnx/test_onnx_opset.py::TestONNXOpset::test_interpolate PASSED [0.0505s] [ 58%] 2023-07-07T20:06:34.3160454Z onnx/test_onnx_opset.py::TestONNXOpset::test_maxpool PASSED [0.0128s] [ 66%] 2023-07-07T20:06:34.3161108Z onnx/test_onnx_opset.py::TestONNXOpset::test_opset_fallback PASSED [0.0040s] [ 75%] 2023-07-07T20:06:34.3161740Z onnx/test_onnx_opset.py::TestONNXOpset::test_slice PASSED [0.0633s] [ 83%] 2023-07-07T20:06:34.3162356Z onnx/test_onnx_opset.py::TestONNXOpset::test_topk PASSED [0.0147s] [ 91%] 2023-07-07T20:06:34.3164292Z onnx/test_onnx_opset.py::TestONNXOpset::test_upsample PASSED [0.0089s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:06:34.3165690Z _C._set_default_tensor_type(t) 2023-07-07T20:06:34.3165960Z 2023-07-07T20:06:34.3165968Z 2023-07-07T20:06:34.3166684Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_onnx_opset/onnx.test_onnx_opset-bb1db03ef06e029c.xml - 2023-07-07T20:06:34.3167394Z ============================== 12 passed in 0.66s ============================== 2023-07-07T20:06:34.3167854Z 2023-07-07T20:06:34.3168377Z ##[endgroup] 2023-07-07T20:06:34.3169227Z FINISHED PRINTING LOG FILE of onnx/test_onnx_opset 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_onnx_opset_y0wib24j.log) 2023-07-07T20:06:34.3169699Z 2023-07-07T20:06:36.8605343Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:36.8614366Z Ignoring disabled issues: [''] 2023-07-07T20:06:38.1320825Z Running onnx/test_fx_passes 1/1 ... [2023-07-07 20:06:38.131698] 2023-07-07T20:06:38.1322272Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_fx_passes.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_fx_passes_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:38.131952] 2023-07-07T20:06:41.6587500Z 2023-07-07T20:06:41.6588111Z Expand the folded group to see the log file of onnx/test_fx_passes 1/1 2023-07-07T20:06:41.6589114Z ##[group]PRINTING LOG FILE of onnx/test_fx_passes 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_passes_hc2d5oqc.log) 2023-07-07T20:06:41.6589854Z Test results will be stored in test-reports/python-pytest/onnx.test_fx_passes/onnx.test_fx_passes-5f1dbe4f89f34b0d.xml 2023-07-07T20:06:41.6590222Z ============================= test session starts ============================== 2023-07-07T20:06:41.6590676Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:41.6590942Z cachedir: .pytest_cache 2023-07-07T20:06:41.6591426Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:41.6591777Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:41.6592027Z configfile: pytest.ini 2023-07-07T20:06:41.6592702Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:41.6593095Z collecting ... collected 2 items 2023-07-07T20:06:41.6593616Z Running 2 items in this shard: test/onnx/test_fx_passes.py::TestFxPasses::test_set_node_name_correctly_renames_when_new_name_collides_recursively, test/onnx/test_fx_passes.py::TestFxPasses::test_set_node_name_succeeds_when_no_name_collisions 2023-07-07T20:06:41.6594080Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:41.6594257Z 2023-07-07T20:06:41.6594499Z onnx/test_fx_passes.py::TestFxPasses::test_set_node_name_correctly_renames_when_new_name_collides_recursively PASSED [0.4695s] [ 50%] 2023-07-07T20:06:41.6595026Z onnx/test_fx_passes.py::TestFxPasses::test_set_node_name_succeeds_when_no_name_collisions PASSED [0.0231s] [100%] 2023-07-07T20:06:41.6595265Z 2023-07-07T20:06:41.6595623Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_fx_passes/onnx.test_fx_passes-5f1dbe4f89f34b0d.xml - 2023-07-07T20:06:41.6596061Z ============================== 2 passed in 0.56s =============================== 2023-07-07T20:06:41.6596191Z 2023-07-07T20:06:41.6596443Z ##[endgroup] 2023-07-07T20:06:41.6596919Z FINISHED PRINTING LOG FILE of onnx/test_fx_passes 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_passes_hc2d5oqc.log) 2023-07-07T20:06:41.6597160Z 2023-07-07T20:06:44.1916649Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:44.1925610Z Ignoring disabled issues: [''] 2023-07-07T20:06:45.4670830Z Running onnx/test_pytorch_onnx_shape_inference 1/1 ... [2023-07-07 20:06:45.466587] 2023-07-07T20:06:45.4671750Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_pytorch_onnx_shape_inference.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_pytorch_onnx_shape_inference_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:45.466846] 2023-07-07T20:06:48.3434697Z 2023-07-07T20:06:48.3435664Z Expand the folded group to see the log file of onnx/test_pytorch_onnx_shape_inference 1/1 2023-07-07T20:06:48.3436786Z ##[group]PRINTING LOG FILE of onnx/test_pytorch_onnx_shape_inference 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_onnx_shape_inference_mlwzaec7.log) 2023-07-07T20:06:48.3437673Z Test results will be stored in test-reports/python-pytest/onnx.test_pytorch_onnx_shape_inference/onnx.test_pytorch_onnx_shape_inference-0e5b15c6e0f19669.xml 2023-07-07T20:06:48.3438086Z ============================= test session starts ============================== 2023-07-07T20:06:48.3438496Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:48.3438823Z cachedir: .pytest_cache 2023-07-07T20:06:48.3439266Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:48.3439608Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:48.3439826Z configfile: pytest.ini 2023-07-07T20:06:48.3440307Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:48.3440660Z collecting ... collected 24 items 2023-07-07T20:06:48.3444070Z Running 24 items in this shard: test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_broadcast_matmul, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_cast, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_constant_of_shape, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_constant_of_shape_dynamic, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_constant_of_shape_static, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_expand, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_gather_dynamic_index, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_gather_scalar_index, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_pad, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_pad_with_dynamic_input_shape, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_pad_with_dynamic_pad_size, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_proceeding_nodes_use_prim_pack_padded_output_dtype_correctly, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reduce_prod_with_axes, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reduce_prod_without_axes, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reshape, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reshape_allowzero, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reshape_symbolic, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_resize, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_resize_after_concat, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_slice, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_no_setType_for_single_custom_op, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_setType_maintains_output_shape_for_single_custom_op, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_setType_maintains_output_shape_for_single_custom_op_with_dynamic_axes, test/onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_setType_maintains_output_shape_for_single_custom_op_with_onnx_ops 2023-07-07T20:06:48.3447589Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:48.3447753Z 2023-07-07T20:06:48.3447971Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_broadcast_matmul PASSED [0.0179s] [ 4%] 2023-07-07T20:06:48.3448454Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_cast PASSED [0.0006s] [ 8%] 2023-07-07T20:06:48.3448863Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_constant_of_shape PASSED [0.0011s] [ 12%] 2023-07-07T20:06:48.3449351Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_constant_of_shape_dynamic PASSED [0.0009s] [ 16%] 2023-07-07T20:06:48.3449809Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_constant_of_shape_static PASSED [0.0017s] [ 20%] 2023-07-07T20:06:48.3450233Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_expand PASSED [0.0011s] [ 25%] 2023-07-07T20:06:48.3450685Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_gather_dynamic_index PASSED [0.0007s] [ 29%] 2023-07-07T20:06:48.3451120Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_gather_scalar_index PASSED [0.0007s] [ 33%] 2023-07-07T20:06:48.3451545Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_pad PASSED [0.0008s] [ 37%] 2023-07-07T20:06:48.3451964Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_pad_with_dynamic_input_shape PASSED [0.0008s] [ 41%] 2023-07-07T20:06:48.3452420Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_pad_with_dynamic_pad_size PASSED [0.0006s] [ 45%] 2023-07-07T20:06:48.3452917Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_proceeding_nodes_use_prim_pack_padded_output_dtype_correctly PASSED [0.0008s] [ 50%] 2023-07-07T20:06:48.3453403Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reduce_prod_with_axes PASSED [0.0005s] [ 54%] 2023-07-07T20:06:48.3453835Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reduce_prod_without_axes PASSED [0.0005s] [ 58%] 2023-07-07T20:06:48.3454301Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reshape PASSED [0.0050s] [ 62%] 2023-07-07T20:06:48.3454725Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reshape_allowzero PASSED [0.0008s] [ 66%] 2023-07-07T20:06:48.3455161Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_reshape_symbolic PASSED [0.0008s] [ 70%] 2023-07-07T20:06:48.3455566Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_resize PASSED [0.0009s] [ 75%] 2023-07-07T20:06:48.3455983Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_resize_after_concat PASSED [0.0012s] [ 79%] 2023-07-07T20:06:48.3456398Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXShapeInference::test_slice PASSED [0.0009s] [ 83%] 2023-07-07T20:06:48.3457106Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_no_setType_for_single_custom_op [W shape_type_inference.cpp:1960] Warning: The shape inference of com.microsoft::Inverse type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:48.3457671Z PASSED [0.2668s] [ 87%] 2023-07-07T20:06:48.3458054Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_setType_maintains_output_shape_for_single_custom_op PASSED [0.0042s] [ 91%] 2023-07-07T20:06:48.3458618Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_setType_maintains_output_shape_for_single_custom_op_with_dynamic_axes PASSED [0.0036s] [ 95%] 2023-07-07T20:06:48.3459887Z onnx/test_pytorch_onnx_shape_inference.py::TestONNXCustomOpShapeInference::test_setType_maintains_output_shape_for_single_custom_op_with_onnx_ops PASSED [0.0086s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:06:48.3460628Z _C._set_default_tensor_type(t) 2023-07-07T20:06:48.3460761Z 2023-07-07T20:06:48.3460766Z 2023-07-07T20:06:48.3461190Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_pytorch_onnx_shape_inference/onnx.test_pytorch_onnx_shape_inference-0e5b15c6e0f19669.xml - 2023-07-07T20:06:48.3461638Z ============================== 24 passed in 0.42s ============================== 2023-07-07T20:06:48.3461785Z 2023-07-07T20:06:48.3462043Z ##[endgroup] 2023-07-07T20:06:48.3462550Z FINISHED PRINTING LOG FILE of onnx/test_pytorch_onnx_shape_inference 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_onnx_shape_inference_mlwzaec7.log) 2023-07-07T20:06:48.3462875Z 2023-07-07T20:06:49.4886370Z 2023-07-07T20:06:49.4886915Z Expand the folded group to see the log file of onnx/test_op_consistency 1/1 2023-07-07T20:06:49.4888166Z ##[group]PRINTING LOG FILE of onnx/test_op_consistency 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_op_consistency_jdcbdakb.log) 2023-07-07T20:06:49.4893704Z Test results will be stored in test-reports/python-pytest/onnx.test_op_consistency/onnx.test_op_consistency-72317d4993dec473.xml 2023-07-07T20:06:49.4894353Z ============================= test session starts ============================== 2023-07-07T20:06:49.4894967Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:49.4895432Z cachedir: .pytest_cache 2023-07-07T20:06:49.4896080Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:49.4896627Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:49.4896966Z configfile: pytest.ini 2023-07-07T20:06:49.4897588Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:49.4898085Z collecting ... collected 1120 items 2023-07-07T20:06:49.5192793Z Running 1120 items in this shard: test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_uint8, 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test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_stft_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_bool, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int16, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int32, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int64, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int8, test/onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_uint8 2023-07-07T20:06:49.5354217Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:49.5354425Z 2023-07-07T20:06:49.5354764Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5355384Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_float32 PASSED [0.1502s] [ 0%] 2023-07-07T20:06:49.5355953Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5356576Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5357167Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5357762Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5358357Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5358973Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5359738Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_float16 PASSED [0.0094s] [ 0%] 2023-07-07T20:06:49.5360273Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_float32 PASSED [0.0109s] [ 0%] 2023-07-07T20:06:49.5360818Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 0%] 2023-07-07T20:06:49.5361412Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 1%] 2023-07-07T20:06:49.5362059Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 1%] 2023-07-07T20:06:49.5362652Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 1%] 2023-07-07T20:06:49.5363254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 1%] 2023-07-07T20:06:49.5363801Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0692s] [ 1%] 2023-07-07T20:06:49.5364300Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0915s] [ 1%] 2023-07-07T20:06:49.5364897Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0753s] [ 1%] 2023-07-07T20:06:49.5365459Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0844s] [ 1%] 2023-07-07T20:06:49.5365953Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0793s] [ 1%] 2023-07-07T20:06:49.5366445Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0734s] [ 1%] 2023-07-07T20:06:49.5366944Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0716s] [ 1%] 2023-07-07T20:06:49.5367420Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0764s] [ 2%] 2023-07-07T20:06:49.5367910Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_ceil_cpu_float16 PASSED [0.0114s] [ 2%] 2023-07-07T20:06:49.5368388Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_ceil_cpu_float32 PASSED [0.0092s] [ 2%] 2023-07-07T20:06:49.5368864Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0056s] [ 2%] 2023-07-07T20:06:49.5369317Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0051s] [ 2%] 2023-07-07T20:06:49.5369777Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0052s] [ 2%] 2023-07-07T20:06:49.5370246Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0048s] [ 2%] 2023-07-07T20:06:49.5370714Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0048s] [ 2%] 2023-07-07T20:06:49.5371172Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_bool PASSED [0.0871s] [ 2%] 2023-07-07T20:06:49.5371655Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_float16 PASSED [0.0891s] [ 2%] 2023-07-07T20:06:49.5372187Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_float32 PASSED [0.0880s] [ 2%] 2023-07-07T20:06:49.5372712Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_int16 PASSED [0.0893s] [ 3%] 2023-07-07T20:06:49.5373179Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_int32 PASSED [0.0859s] [ 3%] 2023-07-07T20:06:49.5373650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_int64 PASSED [0.1791s] [ 3%] 2023-07-07T20:06:49.5374166Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_int8 PASSED [0.1080s] [ 3%] 2023-07-07T20:06:49.5374646Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_expand_cpu_uint8 PASSED [0.0868s] [ 3%] 2023-07-07T20:06:49.5375106Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_bool PASSED [0.0305s] [ 3%] 2023-07-07T20:06:49.5375592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_float16 PASSED [0.0325s] [ 3%] 2023-07-07T20:06:49.5376080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_float32 PASSED [0.0325s] [ 3%] 2023-07-07T20:06:49.5376567Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_int16 PASSED [0.0296s] [ 3%] 2023-07-07T20:06:49.5377033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_int32 PASSED [0.0290s] [ 3%] 2023-07-07T20:06:49.5377512Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_int64 PASSED [0.0296s] [ 3%] 2023-07-07T20:06:49.5378033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_int8 PASSED [0.0291s] [ 4%] 2023-07-07T20:06:49.5378509Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0293s] [ 4%] 2023-07-07T20:06:49.5379072Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_bool SKIPPED [0.0002s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5379733Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_float16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5380395Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_float32 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5381050Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_int16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5381700Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_int32 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5382328Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_int64 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5382969Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_int8 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5383621Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_hstack_cpu_uint8 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 4%] 2023-07-07T20:06:49.5384233Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_bool PASSED [0.0131s] [ 4%] 2023-07-07T20:06:49.5384752Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0129s] [ 5%] 2023-07-07T20:06:49.5385250Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0127s] [ 5%] 2023-07-07T20:06:49.5385740Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0124s] [ 5%] 2023-07-07T20:06:49.5386259Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0123s] [ 5%] 2023-07-07T20:06:49.5386731Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0124s] [ 5%] 2023-07-07T20:06:49.5387224Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0124s] [ 5%] 2023-07-07T20:06:49.5387710Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0129s] [ 5%] 2023-07-07T20:06:49.5388312Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 5%] 2023-07-07T20:06:49.5388976Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 5%] 2023-07-07T20:06:49.5389529Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_bool PASSED [0.2621s] [ 5%] 2023-07-07T20:06:49.5390063Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 5%] 2023-07-07T20:06:49.5390601Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_float16 PASSED [0.2905s] [ 5%] 2023-07-07T20:06:49.5391141Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 5%] 2023-07-07T20:06:49.5391661Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_float32 PASSED [0.2913s] [ 5%] 2023-07-07T20:06:49.5392197Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 5%] 2023-07-07T20:06:49.5392733Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int16 PASSED [0.2838s] [ 5%] 2023-07-07T20:06:49.5393267Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 6%] 2023-07-07T20:06:49.5393796Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int32 PASSED [0.2808s] [ 6%] 2023-07-07T20:06:49.5394315Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 6%] 2023-07-07T20:06:49.5394838Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int64 PASSED [0.2843s] [ 6%] 2023-07-07T20:06:49.5395434Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 6%] 2023-07-07T20:06:49.5396009Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_int8 PASSED [0.2641s] [ 6%] 2023-07-07T20:06:49.5396561Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 6%] 2023-07-07T20:06:49.5397089Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_repeat_cpu_uint8 PASSED [0.2851s] [ 6%] 2023-07-07T20:06:49.5397631Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 6%] 2023-07-07T20:06:49.5398208Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0083s] [ 6%] 2023-07-07T20:06:49.5398671Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0080s] [ 6%] 2023-07-07T20:06:49.5399140Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0075s] [ 6%] 2023-07-07T20:06:49.5399606Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0073s] [ 6%] 2023-07-07T20:06:49.5400072Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0071s] [ 6%] 2023-07-07T20:06:49.5400529Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0074s] [ 6%] 2023-07-07T20:06:49.5400997Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0071s] [ 7%] 2023-07-07T20:06:49.5401577Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_stft_cpu_float32 SKIPPED [0.0002s] (Skip: STFT on certain dtypes not supported by the ONNX Spec) [ 7%] 2023-07-07T20:06:49.5402116Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_bool PASSED [0.0111s] [ 7%] 2023-07-07T20:06:49.5402577Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_float16 PASSED [0.0116s] [ 7%] 2023-07-07T20:06:49.5403048Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_float32 PASSED [0.0115s] [ 7%] 2023-07-07T20:06:49.5403515Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_int16 PASSED [0.0107s] [ 7%] 2023-07-07T20:06:49.5403978Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_int32 PASSED [0.0108s] [ 7%] 2023-07-07T20:06:49.5404564Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_int64 PASSED [0.0107s] [ 7%] 2023-07-07T20:06:49.5405090Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_int8 PASSED [0.0106s] [ 7%] 2023-07-07T20:06:49.5405561Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_t_cpu_uint8 PASSED [0.0108s] [ 7%] 2023-07-07T20:06:49.5406099Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_bool SKIPPED [0.0002s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 7%] 2023-07-07T20:06:49.5406691Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_float16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 8%] 2023-07-07T20:06:49.5407305Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_float32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 8%] 2023-07-07T20:06:49.5407910Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_int16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 8%] 2023-07-07T20:06:49.5408582Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_int32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 8%] 2023-07-07T20:06:49.5409216Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_int64 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 8%] 2023-07-07T20:06:49.5409808Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_int8 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 8%] 2023-07-07T20:06:49.5410445Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_tile_cpu_uint8 SKIPPED [0.0005s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 8%] 2023-07-07T20:06:49.5410991Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_bool XFAIL [0.0043s] [ 8%] 2023-07-07T20:06:49.5411480Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_float16 XFAIL [0.0037s] [ 8%] 2023-07-07T20:06:49.5411969Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_float32 XFAIL [0.0039s] [ 8%] 2023-07-07T20:06:49.5412436Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_int16 XFAIL [0.0034s] [ 8%] 2023-07-07T20:06:49.5412916Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_int32 XFAIL [0.0033s] [ 9%] 2023-07-07T20:06:49.5413397Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_int64 XFAIL [0.0037s] [ 9%] 2023-07-07T20:06:49.5413954Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_int8 XFAIL [0.0031s] [ 9%] 2023-07-07T20:06:49.5414427Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_unflatten_cpu_uint8 XFAIL [0.0030s] [ 9%] 2023-07-07T20:06:49.5414997Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_bool SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 9%] 2023-07-07T20:06:49.5415656Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_float16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 9%] 2023-07-07T20:06:49.5416310Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_float32 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 9%] 2023-07-07T20:06:49.5416952Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_int16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 9%] 2023-07-07T20:06:49.5417592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_int32 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 9%] 2023-07-07T20:06:49.5418228Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_int64 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 9%] 2023-07-07T20:06:49.5418872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_int8 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 9%] 2023-07-07T20:06:49.5419526Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset9CPU::test_output_match_vstack_cpu_uint8 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5420178Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5420739Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan2_cpu_float32 PASSED [0.1127s] [ 10%] 2023-07-07T20:06:49.5421292Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0003s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5421893Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5422523Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5423115Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5423718Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5424315Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5424861Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_float16 PASSED [0.0182s] [ 10%] 2023-07-07T20:06:49.5425373Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_float32 PASSED [0.0213s] [ 10%] 2023-07-07T20:06:49.5425912Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 10%] 2023-07-07T20:06:49.5426512Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 11%] 2023-07-07T20:06:49.5427108Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 11%] 2023-07-07T20:06:49.5427702Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 11%] 2023-07-07T20:06:49.5428302Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 11%] 2023-07-07T20:06:49.5428836Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0673s] [ 11%] 2023-07-07T20:06:49.5429332Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0679s] [ 11%] 2023-07-07T20:06:49.5429832Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0670s] [ 11%] 2023-07-07T20:06:49.5430323Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0646s] [ 11%] 2023-07-07T20:06:49.5430809Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0645s] [ 11%] 2023-07-07T20:06:49.5431342Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0650s] [ 11%] 2023-07-07T20:06:49.5431830Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0625s] [ 11%] 2023-07-07T20:06:49.5432353Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0628s] [ 12%] 2023-07-07T20:06:49.5432827Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_ceil_cpu_float16 PASSED [0.0073s] [ 12%] 2023-07-07T20:06:49.5433306Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_ceil_cpu_float32 PASSED [0.0073s] [ 12%] 2023-07-07T20:06:49.5433810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0049s] [ 12%] 2023-07-07T20:06:49.5434277Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0051s] [ 12%] 2023-07-07T20:06:49.5434738Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0047s] [ 12%] 2023-07-07T20:06:49.5435306Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0048s] [ 12%] 2023-07-07T20:06:49.5435776Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0047s] [ 12%] 2023-07-07T20:06:49.5436247Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_bool PASSED [0.0864s] [ 12%] 2023-07-07T20:06:49.5436715Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_float16 PASSED [0.0880s] [ 12%] 2023-07-07T20:06:49.5437209Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_float32 PASSED [0.0945s] [ 12%] 2023-07-07T20:06:49.5437739Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_int16 PASSED [0.0918s] [ 13%] 2023-07-07T20:06:49.5438219Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_int32 PASSED [0.0930s] [ 13%] 2023-07-07T20:06:49.5438685Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_int64 PASSED [0.0923s] [ 13%] 2023-07-07T20:06:49.5439164Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_int8 PASSED [0.0929s] [ 13%] 2023-07-07T20:06:49.5439646Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_expand_cpu_uint8 PASSED [0.0926s] [ 13%] 2023-07-07T20:06:49.5440122Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_bool PASSED [0.0321s] [ 13%] 2023-07-07T20:06:49.5440595Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_float16 PASSED [0.0346s] [ 13%] 2023-07-07T20:06:49.5441081Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_float32 PASSED [0.0355s] [ 13%] 2023-07-07T20:06:49.5441564Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_int16 PASSED [0.0324s] [ 13%] 2023-07-07T20:06:49.5442047Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_int32 PASSED [0.0326s] [ 13%] 2023-07-07T20:06:49.5442511Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_int64 PASSED [0.0328s] [ 13%] 2023-07-07T20:06:49.5442991Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_int8 PASSED [0.0323s] [ 14%] 2023-07-07T20:06:49.5443471Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0329s] [ 14%] 2023-07-07T20:06:49.5444101Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_bool SKIPPED [0.0002s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5444924Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_float16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5445583Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_float32 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5446280Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_int16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5446934Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_int32 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5447581Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_int64 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5448221Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_int8 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5448869Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_hstack_cpu_uint8 SKIPPED [0.0002s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 14%] 2023-07-07T20:06:49.5457973Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_bool PASSED [0.0149s] [ 14%] 2023-07-07T20:06:49.5458813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0138s] [ 15%] 2023-07-07T20:06:49.5459603Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0140s] [ 15%] 2023-07-07T20:06:49.5460461Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0132s] [ 15%] 2023-07-07T20:06:49.5461294Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0132s] [ 15%] 2023-07-07T20:06:49.5462069Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0133s] [ 15%] 2023-07-07T20:06:49.5462949Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0135s] [ 15%] 2023-07-07T20:06:49.5463884Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0135s] [ 15%] 2023-07-07T20:06:49.5464892Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 15%] 2023-07-07T20:06:49.5466044Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 15%] 2023-07-07T20:06:49.5466948Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_bool PASSED [0.2804s] [ 15%] 2023-07-07T20:06:49.5467754Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 15%] 2023-07-07T20:06:49.5468455Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_float16 PASSED [0.3402s] [ 15%] 2023-07-07T20:06:49.5469055Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 15%] 2023-07-07T20:06:49.5469597Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_float32 PASSED [0.3925s] [ 15%] 2023-07-07T20:06:49.5470137Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 15%] 2023-07-07T20:06:49.5470673Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int16 PASSED [0.4239s] [ 15%] 2023-07-07T20:06:49.5471202Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 16%] 2023-07-07T20:06:49.5471740Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int32 PASSED [0.4043s] [ 16%] 2023-07-07T20:06:49.5472278Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 16%] 2023-07-07T20:06:49.5472803Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int64 PASSED [0.4356s] [ 16%] 2023-07-07T20:06:49.5473321Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 16%] 2023-07-07T20:06:49.5473849Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_int8 PASSED [0.3032s] [ 16%] 2023-07-07T20:06:49.5474485Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 16%] 2023-07-07T20:06:49.5475112Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_repeat_cpu_uint8 PASSED [0.2864s] [ 16%] 2023-07-07T20:06:49.5475650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 16%] 2023-07-07T20:06:49.5476193Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0080s] [ 16%] 2023-07-07T20:06:49.5476675Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0080s] [ 16%] 2023-07-07T20:06:49.5477154Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0076s] [ 16%] 2023-07-07T20:06:49.5477629Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0073s] [ 16%] 2023-07-07T20:06:49.5478089Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0075s] [ 16%] 2023-07-07T20:06:49.5478564Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0078s] [ 16%] 2023-07-07T20:06:49.5479038Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0076s] [ 17%] 2023-07-07T20:06:49.5479582Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_stft_cpu_float32 SKIPPED [0.0002s] (Skip: STFT on certain dtypes not supported by the ONNX Spec) [ 17%] 2023-07-07T20:06:49.5480105Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_bool PASSED [0.0121s] [ 17%] 2023-07-07T20:06:49.5480619Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_float16 PASSED [0.0124s] [ 17%] 2023-07-07T20:06:49.5481090Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_float32 PASSED [0.0120s] [ 17%] 2023-07-07T20:06:49.5481592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_int16 PASSED [0.0110s] [ 17%] 2023-07-07T20:06:49.5482051Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_int32 PASSED [0.0106s] [ 17%] 2023-07-07T20:06:49.5482520Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_int64 PASSED [0.0107s] [ 17%] 2023-07-07T20:06:49.5482985Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_int8 PASSED [0.0108s] [ 17%] 2023-07-07T20:06:49.5483456Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_t_cpu_uint8 PASSED [0.0106s] [ 17%] 2023-07-07T20:06:49.5483984Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_bool SKIPPED [0.0002s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 17%] 2023-07-07T20:06:49.5484842Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_float16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 18%] 2023-07-07T20:06:49.5485457Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_float32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 18%] 2023-07-07T20:06:49.5486062Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_int16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 18%] 2023-07-07T20:06:49.5486764Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_int32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 18%] 2023-07-07T20:06:49.5487359Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_int64 SKIPPED [0.0003s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 18%] 2023-07-07T20:06:49.5487953Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_int8 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 18%] 2023-07-07T20:06:49.5488556Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_tile_cpu_uint8 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 18%] 2023-07-07T20:06:49.5489098Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_bool XFAIL [0.0038s] [ 18%] 2023-07-07T20:06:49.5489580Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_float16 XFAIL [0.0042s] [ 18%] 2023-07-07T20:06:49.5490070Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_float32 XFAIL [0.0037s] [ 18%] 2023-07-07T20:06:49.5490560Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_int16 XFAIL [0.0034s] [ 18%] 2023-07-07T20:06:49.5491041Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_int32 XFAIL [0.0034s] [ 19%] 2023-07-07T20:06:49.5491508Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_int64 XFAIL [0.0032s] [ 19%] 2023-07-07T20:06:49.5491986Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_int8 XFAIL [0.0033s] [ 19%] 2023-07-07T20:06:49.5492479Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_unflatten_cpu_uint8 XFAIL [0.0035s] [ 19%] 2023-07-07T20:06:49.5493091Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_bool SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 19%] 2023-07-07T20:06:49.5493789Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_float16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 19%] 2023-07-07T20:06:49.5494440Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_float32 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 19%] 2023-07-07T20:06:49.5495087Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_int16 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 19%] 2023-07-07T20:06:49.5495745Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_int32 SKIPPED [0.0002s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 19%] 2023-07-07T20:06:49.5496392Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_int64 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 19%] 2023-07-07T20:06:49.5497041Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_int8 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 19%] 2023-07-07T20:06:49.5497673Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset10CPU::test_output_match_vstack_cpu_uint8 SKIPPED [0.0001s] (Skip: ConcatFromSequence on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5498363Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5498910Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan2_cpu_float32 PASSED [0.0995s] [ 20%] 2023-07-07T20:06:49.5499457Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5500042Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5500645Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5501247Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5501856Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5502459Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5502987Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_float16 PASSED [0.0097s] [ 20%] 2023-07-07T20:06:49.5503465Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_float32 PASSED [0.0090s] [ 20%] 2023-07-07T20:06:49.5504006Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 20%] 2023-07-07T20:06:49.5504640Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 21%] 2023-07-07T20:06:49.5505265Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 21%] 2023-07-07T20:06:49.5505849Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 21%] 2023-07-07T20:06:49.5506435Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 21%] 2023-07-07T20:06:49.5506988Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0701s] [ 21%] 2023-07-07T20:06:49.5507482Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0700s] [ 21%] 2023-07-07T20:06:49.5507974Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0696s] [ 21%] 2023-07-07T20:06:49.5508467Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0690s] [ 21%] 2023-07-07T20:06:49.5508960Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0680s] [ 21%] 2023-07-07T20:06:49.5509448Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0736s] [ 21%] 2023-07-07T20:06:49.5509991Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0714s] [ 21%] 2023-07-07T20:06:49.5510488Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0702s] [ 22%] 2023-07-07T20:06:49.5510976Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_ceil_cpu_float16 PASSED [0.0083s] [ 22%] 2023-07-07T20:06:49.5511455Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_ceil_cpu_float32 PASSED [0.0078s] [ 22%] 2023-07-07T20:06:49.5511916Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0051s] [ 22%] 2023-07-07T20:06:49.5512385Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0051s] [ 22%] 2023-07-07T20:06:49.5512847Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0050s] [ 22%] 2023-07-07T20:06:49.5513322Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0052s] [ 22%] 2023-07-07T20:06:49.5513775Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0048s] [ 22%] 2023-07-07T20:06:49.5514255Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_bool PASSED [0.0945s] [ 22%] 2023-07-07T20:06:49.5514740Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_float16 PASSED [0.0991s] [ 22%] 2023-07-07T20:06:49.5515323Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_float32 PASSED [0.0977s] [ 22%] 2023-07-07T20:06:49.5515793Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_int16 PASSED [0.0943s] [ 23%] 2023-07-07T20:06:49.5516311Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_int32 PASSED [0.1220s] [ 23%] 2023-07-07T20:06:49.5516794Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_int64 PASSED [0.0943s] [ 23%] 2023-07-07T20:06:49.5517307Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_int8 PASSED [0.0941s] [ 23%] 2023-07-07T20:06:49.5517778Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_expand_cpu_uint8 PASSED [0.0943s] [ 23%] 2023-07-07T20:06:49.5518259Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_bool PASSED [0.0363s] [ 23%] 2023-07-07T20:06:49.5518744Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_float16 PASSED [0.0372s] [ 23%] 2023-07-07T20:06:49.5519233Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_float32 PASSED [0.0365s] [ 23%] 2023-07-07T20:06:49.5519701Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_int16 PASSED [0.0349s] [ 23%] 2023-07-07T20:06:49.5520187Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_int32 PASSED [0.0348s] [ 23%] 2023-07-07T20:06:49.5520663Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_int64 PASSED [0.0341s] [ 23%] 2023-07-07T20:06:49.5521145Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_int8 PASSED [0.0343s] [ 24%] 2023-07-07T20:06:49.5521609Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0344s] [ 24%] 2023-07-07T20:06:49.5522124Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_bool PASSED [0.0192s] [ 24%] 2023-07-07T20:06:49.5522642Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_float16 PASSED [0.0207s] [ 24%] 2023-07-07T20:06:49.5523125Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_float32 PASSED [0.0204s] [ 24%] 2023-07-07T20:06:49.5523591Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_int16 PASSED [0.0194s] [ 24%] 2023-07-07T20:06:49.5524066Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_int32 PASSED [0.0192s] [ 24%] 2023-07-07T20:06:49.5524693Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_int64 PASSED [0.0193s] [ 24%] 2023-07-07T20:06:49.5525175Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_int8 PASSED [0.0192s] [ 24%] 2023-07-07T20:06:49.5525645Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_hstack_cpu_uint8 PASSED [0.0194s] [ 24%] 2023-07-07T20:06:49.5526128Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_bool PASSED [0.0137s] [ 24%] 2023-07-07T20:06:49.5526623Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0144s] [ 25%] 2023-07-07T20:06:49.5527117Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0143s] [ 25%] 2023-07-07T20:06:49.5527596Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0133s] [ 25%] 2023-07-07T20:06:49.5528080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0133s] [ 25%] 2023-07-07T20:06:49.5528565Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0131s] [ 25%] 2023-07-07T20:06:49.5529112Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0131s] [ 25%] 2023-07-07T20:06:49.5529635Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0133s] [ 25%] 2023-07-07T20:06:49.5530228Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 25%] 2023-07-07T20:06:49.5530892Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 25%] 2023-07-07T20:06:49.5531425Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_bool PASSED [0.2875s] [ 25%] 2023-07-07T20:06:49.5531964Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 25%] 2023-07-07T20:06:49.5532491Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_float16 PASSED [0.2978s] [ 25%] 2023-07-07T20:06:49.5533041Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 25%] 2023-07-07T20:06:49.5533575Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_float32 PASSED [0.2924s] [ 25%] 2023-07-07T20:06:49.5534111Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 25%] 2023-07-07T20:06:49.5534707Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int16 PASSED [0.2857s] [ 25%] 2023-07-07T20:06:49.5535248Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 26%] 2023-07-07T20:06:49.5535780Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int32 PASSED [0.2547s] [ 26%] 2023-07-07T20:06:49.5536308Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 26%] 2023-07-07T20:06:49.5536835Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int64 PASSED [0.2568s] [ 26%] 2023-07-07T20:06:49.5537354Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 26%] 2023-07-07T20:06:49.5537885Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_int8 PASSED [0.2684s] [ 26%] 2023-07-07T20:06:49.5538419Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 26%] 2023-07-07T20:06:49.5538948Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_repeat_cpu_uint8 PASSED [0.3132s] [ 26%] 2023-07-07T20:06:49.5539477Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 26%] 2023-07-07T20:06:49.5540014Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0095s] [ 26%] 2023-07-07T20:06:49.5540497Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0076s] [ 26%] 2023-07-07T20:06:49.5541000Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0071s] [ 26%] 2023-07-07T20:06:49.5541485Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0068s] [ 26%] 2023-07-07T20:06:49.5541961Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0068s] [ 26%] 2023-07-07T20:06:49.5542429Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0069s] [ 26%] 2023-07-07T20:06:49.5542902Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0066s] [ 27%] 2023-07-07T20:06:49.5543437Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_stft_cpu_float32 SKIPPED [0.0001s] (Skip: STFT on certain dtypes not supported by the ONNX Spec) [ 27%] 2023-07-07T20:06:49.5543984Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_bool PASSED [0.0107s] [ 27%] 2023-07-07T20:06:49.5544458Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_float16 PASSED [0.0109s] [ 27%] 2023-07-07T20:06:49.5544927Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_float32 PASSED [0.0105s] [ 27%] 2023-07-07T20:06:49.5545384Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_int16 PASSED [0.0107s] [ 27%] 2023-07-07T20:06:49.5545855Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_int32 PASSED [0.0103s] [ 27%] 2023-07-07T20:06:49.5546322Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_int64 PASSED [0.0102s] [ 27%] 2023-07-07T20:06:49.5546872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_int8 PASSED [0.0104s] [ 27%] 2023-07-07T20:06:49.5547325Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_t_cpu_uint8 PASSED [0.0102s] [ 27%] 2023-07-07T20:06:49.5547867Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_bool SKIPPED [0.0002s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 27%] 2023-07-07T20:06:49.5548471Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_float16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 28%] 2023-07-07T20:06:49.5549071Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_float32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 28%] 2023-07-07T20:06:49.5549677Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_int16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 28%] 2023-07-07T20:06:49.5550257Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_int32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 28%] 2023-07-07T20:06:49.5550873Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_int64 SKIPPED [0.0002s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 28%] 2023-07-07T20:06:49.5551464Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_int8 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 28%] 2023-07-07T20:06:49.5552067Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_tile_cpu_uint8 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 28%] 2023-07-07T20:06:49.5552645Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_bool XFAIL [0.0037s] [ 28%] 2023-07-07T20:06:49.5553120Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_float16 XFAIL [0.0038s] [ 28%] 2023-07-07T20:06:49.5553644Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_float32 XFAIL [0.0040s] [ 28%] 2023-07-07T20:06:49.5554134Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_int16 XFAIL [0.0032s] [ 28%] 2023-07-07T20:06:49.5554616Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_int32 XFAIL [0.0030s] [ 29%] 2023-07-07T20:06:49.5555172Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_int64 XFAIL [0.0032s] [ 29%] 2023-07-07T20:06:49.5555662Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_int8 XFAIL [0.0030s] [ 29%] 2023-07-07T20:06:49.5556152Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_unflatten_cpu_uint8 XFAIL [0.0030s] [ 29%] 2023-07-07T20:06:49.5556633Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_bool PASSED [0.0117s] [ 29%] 2023-07-07T20:06:49.5557100Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_float16 PASSED [0.0123s] [ 29%] 2023-07-07T20:06:49.5557582Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_float32 PASSED [0.0121s] [ 29%] 2023-07-07T20:06:49.5558065Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_int16 PASSED [0.0108s] [ 29%] 2023-07-07T20:06:49.5558620Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_int32 PASSED [0.0108s] [ 29%] 2023-07-07T20:06:49.5559087Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_int64 PASSED [0.0115s] [ 29%] 2023-07-07T20:06:49.5559562Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_int8 PASSED [0.0114s] [ 29%] 2023-07-07T20:06:49.5560042Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset11CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0115s] [ 30%] 2023-07-07T20:06:49.5560589Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5561114Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan2_cpu_float32 PASSED [0.0848s] [ 30%] 2023-07-07T20:06:49.5561661Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5562262Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5562860Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5563459Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5564058Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5564840Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5565387Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_float16 PASSED [0.0092s] [ 30%] 2023-07-07T20:06:49.5565926Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_float32 PASSED [0.0083s] [ 30%] 2023-07-07T20:06:49.5566460Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 30%] 2023-07-07T20:06:49.5567058Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 31%] 2023-07-07T20:06:49.5567650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 31%] 2023-07-07T20:06:49.5568254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 31%] 2023-07-07T20:06:49.5568844Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 31%] 2023-07-07T20:06:49.5569382Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0648s] [ 31%] 2023-07-07T20:06:49.5569881Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0665s] [ 31%] 2023-07-07T20:06:49.5570459Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0637s] [ 31%] 2023-07-07T20:06:49.5570953Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0611s] [ 31%] 2023-07-07T20:06:49.5571430Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0629s] [ 31%] 2023-07-07T20:06:49.5571922Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0614s] [ 31%] 2023-07-07T20:06:49.5572413Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0626s] [ 31%] 2023-07-07T20:06:49.5572905Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0623s] [ 32%] 2023-07-07T20:06:49.5573382Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_ceil_cpu_float16 PASSED [0.0074s] [ 32%] 2023-07-07T20:06:49.5573862Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_ceil_cpu_float32 PASSED [0.0070s] [ 32%] 2023-07-07T20:06:49.5574340Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0048s] [ 32%] 2023-07-07T20:06:49.5574812Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0050s] [ 32%] 2023-07-07T20:06:49.5575262Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0047s] [ 32%] 2023-07-07T20:06:49.5575732Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0049s] [ 32%] 2023-07-07T20:06:49.5576204Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0047s] [ 32%] 2023-07-07T20:06:49.5576721Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_bool PASSED [0.0866s] [ 32%] 2023-07-07T20:06:49.5577191Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_float16 PASSED [0.0870s] [ 32%] 2023-07-07T20:06:49.5577704Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_float32 PASSED [0.0858s] [ 32%] 2023-07-07T20:06:49.5578186Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_int16 PASSED [0.0854s] [ 33%] 2023-07-07T20:06:49.5578665Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_int32 PASSED [0.0851s] [ 33%] 2023-07-07T20:06:49.5579129Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_int64 PASSED [0.0856s] [ 33%] 2023-07-07T20:06:49.5579612Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_int8 PASSED [0.0864s] [ 33%] 2023-07-07T20:06:49.5580102Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_expand_cpu_uint8 PASSED [0.0867s] [ 33%] 2023-07-07T20:06:49.5580583Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_bool PASSED [0.0332s] [ 33%] 2023-07-07T20:06:49.5581062Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_float16 PASSED [0.0366s] [ 33%] 2023-07-07T20:06:49.5581552Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_float32 PASSED [0.0347s] [ 33%] 2023-07-07T20:06:49.5582034Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_int16 PASSED [0.0329s] [ 33%] 2023-07-07T20:06:49.5582515Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_int32 PASSED [0.0342s] [ 33%] 2023-07-07T20:06:49.5583047Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_int64 PASSED [0.0347s] [ 33%] 2023-07-07T20:06:49.5583527Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_int8 PASSED [0.0343s] [ 34%] 2023-07-07T20:06:49.5584013Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0343s] [ 34%] 2023-07-07T20:06:49.5584493Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_bool PASSED [0.0187s] [ 34%] 2023-07-07T20:06:49.5584961Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_float16 PASSED [0.0201s] [ 34%] 2023-07-07T20:06:49.5585441Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_float32 PASSED [0.0204s] [ 34%] 2023-07-07T20:06:49.5585925Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_int16 PASSED [0.0197s] [ 34%] 2023-07-07T20:06:49.5586406Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_int32 PASSED [0.0199s] [ 34%] 2023-07-07T20:06:49.5586868Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_int64 PASSED [0.0196s] [ 34%] 2023-07-07T20:06:49.5587341Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_int8 PASSED [0.0191s] [ 34%] 2023-07-07T20:06:49.5587813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_hstack_cpu_uint8 PASSED [0.0189s] [ 34%] 2023-07-07T20:06:49.5588298Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_bool PASSED [0.0138s] [ 34%] 2023-07-07T20:06:49.5588820Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0136s] [ 35%] 2023-07-07T20:06:49.5589371Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0134s] [ 35%] 2023-07-07T20:06:49.5589892Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0135s] [ 35%] 2023-07-07T20:06:49.5590381Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0132s] [ 35%] 2023-07-07T20:06:49.5590854Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0133s] [ 35%] 2023-07-07T20:06:49.5591340Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0134s] [ 35%] 2023-07-07T20:06:49.5591826Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0130s] [ 35%] 2023-07-07T20:06:49.5592426Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 35%] 2023-07-07T20:06:49.5593080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 35%] 2023-07-07T20:06:49.5593594Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_bool PASSED [0.2878s] [ 35%] 2023-07-07T20:06:49.5594234Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 35%] 2023-07-07T20:06:49.5594769Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_float16 PASSED [0.3023s] [ 35%] 2023-07-07T20:06:49.5595474Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 35%] 2023-07-07T20:06:49.5596000Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_float32 PASSED [0.3087s] [ 35%] 2023-07-07T20:06:49.5596535Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 35%] 2023-07-07T20:06:49.5597066Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int16 PASSED [0.2976s] [ 35%] 2023-07-07T20:06:49.5597597Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 36%] 2023-07-07T20:06:49.5598127Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int32 PASSED [0.3776s] [ 36%] 2023-07-07T20:06:49.5598650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 36%] 2023-07-07T20:06:49.5599178Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int64 PASSED [0.2703s] [ 36%] 2023-07-07T20:06:49.5599710Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 36%] 2023-07-07T20:06:49.5600238Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_int8 PASSED [0.2628s] [ 36%] 2023-07-07T20:06:49.5600761Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 36%] 2023-07-07T20:06:49.5601326Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_repeat_cpu_uint8 PASSED [0.2656s] [ 36%] 2023-07-07T20:06:49.5601899Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 36%] 2023-07-07T20:06:49.5602439Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0076s] [ 36%] 2023-07-07T20:06:49.5602906Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0074s] [ 36%] 2023-07-07T20:06:49.5603383Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0070s] [ 36%] 2023-07-07T20:06:49.5603856Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0070s] [ 36%] 2023-07-07T20:06:49.5604337Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0070s] [ 36%] 2023-07-07T20:06:49.5605046Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0070s] [ 36%] 2023-07-07T20:06:49.5605532Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0068s] [ 37%] 2023-07-07T20:06:49.5606077Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_stft_cpu_float32 SKIPPED [0.0002s] (Skip: STFT on certain dtypes not supported by the ONNX Spec) [ 37%] 2023-07-07T20:06:49.5606616Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_bool PASSED [0.0109s] [ 37%] 2023-07-07T20:06:49.5607070Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_float16 PASSED [0.0112s] [ 37%] 2023-07-07T20:06:49.5607653Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_float32 PASSED [0.0112s] [ 37%] 2023-07-07T20:06:49.5608116Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_int16 PASSED [0.0158s] [ 37%] 2023-07-07T20:06:49.5608585Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_int32 PASSED [0.0116s] [ 37%] 2023-07-07T20:06:49.5609040Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_int64 PASSED [0.0110s] [ 37%] 2023-07-07T20:06:49.5609508Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_int8 PASSED [0.0110s] [ 37%] 2023-07-07T20:06:49.5609973Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_t_cpu_uint8 PASSED [0.0113s] [ 37%] 2023-07-07T20:06:49.5610513Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_bool SKIPPED [0.0002s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 37%] 2023-07-07T20:06:49.5611122Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_float16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 38%] 2023-07-07T20:06:49.5611714Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_float32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 38%] 2023-07-07T20:06:49.5612313Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_int16 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 38%] 2023-07-07T20:06:49.5612913Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_int32 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 38%] 2023-07-07T20:06:49.5613555Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_int64 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 38%] 2023-07-07T20:06:49.5614183Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_int8 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 38%] 2023-07-07T20:06:49.5614784Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_tile_cpu_uint8 SKIPPED [0.0001s] (Skip: Tile on certain dtypes not supported by the ONNX Spec) [ 38%] 2023-07-07T20:06:49.5615322Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_bool XFAIL [0.0038s] [ 38%] 2023-07-07T20:06:49.5615808Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_float16 XFAIL [0.0036s] [ 38%] 2023-07-07T20:06:49.5616304Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_float32 XFAIL [0.0034s] [ 38%] 2023-07-07T20:06:49.5616780Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_int16 XFAIL [0.0031s] [ 38%] 2023-07-07T20:06:49.5617269Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_int32 XFAIL [0.0030s] [ 39%] 2023-07-07T20:06:49.5617753Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_int64 XFAIL [0.0030s] [ 39%] 2023-07-07T20:06:49.5618234Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_int8 XFAIL [0.0029s] [ 39%] 2023-07-07T20:06:49.5618704Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_unflatten_cpu_uint8 XFAIL [0.0029s] [ 39%] 2023-07-07T20:06:49.5619222Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_bool PASSED [0.0128s] [ 39%] 2023-07-07T20:06:49.5619741Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_float16 PASSED [0.0137s] [ 39%] 2023-07-07T20:06:49.5620222Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_float32 PASSED [0.0131s] [ 39%] 2023-07-07T20:06:49.5620690Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_int16 PASSED [0.0121s] [ 39%] 2023-07-07T20:06:49.5621169Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_int32 PASSED [0.0119s] [ 39%] 2023-07-07T20:06:49.5621642Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_int64 PASSED [0.0119s] [ 39%] 2023-07-07T20:06:49.5622119Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_int8 PASSED [0.0116s] [ 39%] 2023-07-07T20:06:49.5622588Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset12CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0115s] [ 40%] 2023-07-07T20:06:49.5623128Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5623669Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan2_cpu_float32 PASSED [0.1023s] [ 40%] 2023-07-07T20:06:49.5624212Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5624804Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5625403Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5626054Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5626656Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5627258Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5627785Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_float16 PASSED [0.0094s] [ 40%] 2023-07-07T20:06:49.5628275Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_float32 PASSED [0.0089s] [ 40%] 2023-07-07T20:06:49.5628815Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 40%] 2023-07-07T20:06:49.5629414Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 41%] 2023-07-07T20:06:49.5630003Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 41%] 2023-07-07T20:06:49.5630590Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 41%] 2023-07-07T20:06:49.5631269Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 41%] 2023-07-07T20:06:49.5631822Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0753s] [ 41%] 2023-07-07T20:06:49.5632322Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.1212s] [ 41%] 2023-07-07T20:06:49.5632810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0740s] [ 41%] 2023-07-07T20:06:49.5633308Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0686s] [ 41%] 2023-07-07T20:06:49.5633803Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0687s] [ 41%] 2023-07-07T20:06:49.5634301Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0689s] [ 41%] 2023-07-07T20:06:49.5634780Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0684s] [ 41%] 2023-07-07T20:06:49.5635365Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0688s] [ 42%] 2023-07-07T20:06:49.5635848Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_ceil_cpu_float16 PASSED [0.0075s] [ 42%] 2023-07-07T20:06:49.5636325Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_ceil_cpu_float32 PASSED [0.0071s] [ 42%] 2023-07-07T20:06:49.5636786Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0048s] [ 42%] 2023-07-07T20:06:49.5637292Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0051s] [ 42%] 2023-07-07T20:06:49.5637753Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0048s] [ 42%] 2023-07-07T20:06:49.5638252Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0053s] [ 42%] 2023-07-07T20:06:49.5638712Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0046s] [ 42%] 2023-07-07T20:06:49.5639188Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_bool PASSED [0.0942s] [ 42%] 2023-07-07T20:06:49.5639670Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_float16 PASSED [0.0978s] [ 42%] 2023-07-07T20:06:49.5640155Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_float32 PASSED [0.0964s] [ 42%] 2023-07-07T20:06:49.5640631Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_int16 PASSED [0.0935s] [ 43%] 2023-07-07T20:06:49.5641110Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_int32 PASSED [0.0925s] [ 43%] 2023-07-07T20:06:49.5641585Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_int64 PASSED [0.0919s] [ 43%] 2023-07-07T20:06:49.5642061Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_int8 PASSED [0.0928s] [ 43%] 2023-07-07T20:06:49.5642522Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_expand_cpu_uint8 PASSED [0.0945s] [ 43%] 2023-07-07T20:06:49.5643000Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_bool PASSED [0.0339s] [ 43%] 2023-07-07T20:06:49.5643553Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_float16 PASSED [0.0348s] [ 43%] 2023-07-07T20:06:49.5644038Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_float32 PASSED [0.0339s] [ 43%] 2023-07-07T20:06:49.5644654Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_int16 PASSED [0.0326s] [ 43%] 2023-07-07T20:06:49.5645143Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_int32 PASSED [0.0333s] [ 43%] 2023-07-07T20:06:49.5645629Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_int64 PASSED [0.0326s] [ 43%] 2023-07-07T20:06:49.5646108Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_int8 PASSED [0.0334s] [ 44%] 2023-07-07T20:06:49.5646582Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0336s] [ 44%] 2023-07-07T20:06:49.5647062Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_hstack_cpu_bool PASSED [0.0175s] [ 44%] 2023-07-07T20:06:49.5647542Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_hstack_cpu_float16 PASSED [0.0191s] [ 44%] 2023-07-07T20:06:49.5648026Z 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 47%] 2023-07-07T20:06:49.5693033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 47%] 2023-07-07T20:06:49.5693616Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 47%] 2023-07-07T20:06:49.5694149Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_bool PASSED [0.3136s] [ 47%] 2023-07-07T20:06:49.5694681Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5698286Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5698872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5699459Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5700038Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5700621Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5701218Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5701805Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5702455Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5703030Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5703612Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5704200Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5704787Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5705380Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5708929Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5709518Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5710106Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5710695Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5711277Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5711847Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5712433Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5713017Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5713681Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5714267Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5714832Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5715517Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5716053Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float16 PASSED [0.3246s] [ 48%] 2023-07-07T20:06:49.5716597Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5717179Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5717765Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5718356Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5718939Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5719559Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5720161Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5720742Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5721334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5721919Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5722509Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5723080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5723668Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5724254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5725064Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5725650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5726284Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5726941Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5727528Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5728129Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5728703Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5729284Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5729872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5730459Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5731088Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5731695Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5732277Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5732865Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5733453Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5734037Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5734612Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5735196Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5735781Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5736438Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5737023Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5737588Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5738121Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_float32 PASSED [0.3186s] [ 48%] 2023-07-07T20:06:49.5738661Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5739257Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5739832Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5740419Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5741005Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5741589Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5742206Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5742810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5743397Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5743972Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5744552Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5745136Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5745713Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5746300Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5746878Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5747531Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5748119Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5748694Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5749269Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5749850Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5750438Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5751027Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5751592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5752164Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5752741Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5753372Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5753967Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5754551Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5755212Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5755806Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5756392Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5756966Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5757545Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5758122Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5758779Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5759365Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5759888Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int16 PASSED [0.3132s] [ 48%] 2023-07-07T20:06:49.5760427Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5761005Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5761589Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5762168Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5762736Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5763314Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5763890Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5764614Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5765243Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5765860Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5766443Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5767028Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5767616Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5768183Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5768769Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5769342Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5769962Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5770578Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5771148Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5771726Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5772296Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5772877Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5773457Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5774026Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5774597Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5775179Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5775766Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5776381Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5776981Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5777555Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5778133Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5778718Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5779293Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5779968Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5780970Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5781637Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5782203Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int32 PASSED [0.3235s] [ 48%] 2023-07-07T20:06:49.5782728Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5783307Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5783879Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5784463Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5785053Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5785634Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5786216Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5786795Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5787379Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5787996Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5788599Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5789175Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5789751Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5790337Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5790909Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5791491Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5792066Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5792649Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5793309Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5793885Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5794469Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5795160Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5795746Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5796329Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5796909Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5797486Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5798067Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5798650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5799276Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5799872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5800447Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5801027Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5801613Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5802182Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5802759Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5803332Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5803861Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int64 PASSED [0.3125s] [ 48%] 2023-07-07T20:06:49.5804657Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5805245Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5805839Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5806426Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5807009Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5807594Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5808173Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5808757Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5809335Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5809915Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5810540Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5811148Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5811736Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5812315Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5812899Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5834691Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5835531Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5836144Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5836746Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5837425Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5838089Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5838684Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5839272Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5839872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5840452Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5841040Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5841634Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5842220Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5842789Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5843382Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5844041Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5844748Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5845341Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5845920Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5846511Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5847106Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5847642Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_int8 PASSED [0.3129s] [ 48%] 2023-07-07T20:06:49.5848183Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5848766Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5849454Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5850046Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5850645Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5851227Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5851812Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5852404Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5852995Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5853586Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5854166Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5854749Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5855364Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5855990Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5856579Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5857146Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5857739Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5858322Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5858904Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5859491Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5860065Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5860704Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5861295Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5861878Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5862471Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5863049Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5863637Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5864220Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5864806Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5865378Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5865955Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5866572Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5867186Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5867765Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5868337Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5868928Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5869457Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_tile_cpu_uint8 PASSED [0.3170s] [ 48%] 2023-07-07T20:06:49.5870005Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5870611Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5871145Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_bool PASSED [0.0956s] [ 48%] 2023-07-07T20:06:49.5871733Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5872397Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5872948Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_float16 PASSED [0.0989s] [ 48%] 2023-07-07T20:06:49.5873495Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5874105Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5874655Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_float32 PASSED [0.0975s] [ 48%] 2023-07-07T20:06:49.5875273Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5875881Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 48%] 2023-07-07T20:06:49.5876418Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int16 PASSED [0.0980s] [ 48%] 2023-07-07T20:06:49.5876967Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5877567Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5878155Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int32 PASSED [0.0943s] [ 49%] 2023-07-07T20:06:49.5878725Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5879329Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5879873Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int64 PASSED [0.0952s] [ 49%] 2023-07-07T20:06:49.5880425Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5881037Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5881574Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_int8 PASSED [0.0951s] [ 49%] 2023-07-07T20:06:49.5882123Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5882724Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 49%] 2023-07-07T20:06:49.5883268Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_unflatten_cpu_uint8 PASSED [0.0962s] [ 49%] 2023-07-07T20:06:49.5883811Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_bool PASSED [0.0135s] [ 49%] 2023-07-07T20:06:49.5884296Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_float16 PASSED [0.0144s] [ 49%] 2023-07-07T20:06:49.5884903Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_float32 PASSED [0.0141s] [ 49%] 2023-07-07T20:06:49.5885391Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_int16 PASSED [0.0131s] [ 49%] 2023-07-07T20:06:49.5885856Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_int32 PASSED [0.0130s] [ 49%] 2023-07-07T20:06:49.5886334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_int64 PASSED [0.0156s] [ 49%] 2023-07-07T20:06:49.5886825Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_int8 PASSED [0.0132s] [ 49%] 2023-07-07T20:06:49.5887312Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset13CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0129s] [ 50%] 2023-07-07T20:06:49.5887863Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5888395Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan2_cpu_float32 PASSED [0.0879s] [ 50%] 2023-07-07T20:06:49.5888976Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5889592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5890254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5890893Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5891503Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5892107Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5892655Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_float16 PASSED [0.0091s] [ 50%] 2023-07-07T20:06:49.5893140Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_float32 PASSED [0.0084s] [ 50%] 2023-07-07T20:06:49.5893675Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 50%] 2023-07-07T20:06:49.5894276Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 51%] 2023-07-07T20:06:49.5894876Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 51%] 2023-07-07T20:06:49.5895520Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 51%] 2023-07-07T20:06:49.5896157Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 51%] 2023-07-07T20:06:49.5896693Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0705s] [ 51%] 2023-07-07T20:06:49.5897191Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0725s] [ 51%] 2023-07-07T20:06:49.5897689Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0706s] [ 51%] 2023-07-07T20:06:49.5898181Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0701s] [ 51%] 2023-07-07T20:06:49.5898673Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.1172s] [ 51%] 2023-07-07T20:06:49.5899168Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0842s] [ 51%] 2023-07-07T20:06:49.5899664Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0699s] [ 51%] 2023-07-07T20:06:49.5900162Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0690s] [ 52%] 2023-07-07T20:06:49.5900635Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_ceil_cpu_float16 PASSED [0.0075s] [ 52%] 2023-07-07T20:06:49.5901112Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_ceil_cpu_float32 PASSED [0.0073s] [ 52%] 2023-07-07T20:06:49.5901644Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0051s] [ 52%] 2023-07-07T20:06:49.5902413Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0051s] [ 52%] 2023-07-07T20:06:49.5903200Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0048s] [ 52%] 2023-07-07T20:06:49.5903673Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0050s] [ 52%] 2023-07-07T20:06:49.5904143Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0049s] [ 52%] 2023-07-07T20:06:49.5904618Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_bool PASSED [0.1036s] [ 52%] 2023-07-07T20:06:49.5905092Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_float16 PASSED [0.1053s] [ 52%] 2023-07-07T20:06:49.5905582Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_float32 PASSED [0.1033s] [ 52%] 2023-07-07T20:06:49.5906068Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_int16 PASSED [0.1008s] [ 53%] 2023-07-07T20:06:49.5906548Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_int32 PASSED [0.1023s] [ 53%] 2023-07-07T20:06:49.5907009Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_int64 PASSED [0.1019s] [ 53%] 2023-07-07T20:06:49.5907493Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_int8 PASSED [0.1023s] [ 53%] 2023-07-07T20:06:49.5907977Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_expand_cpu_uint8 PASSED [0.1017s] [ 53%] 2023-07-07T20:06:49.5908521Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_bool PASSED [0.0355s] [ 53%] 2023-07-07T20:06:49.5909020Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_float16 PASSED [0.0373s] [ 53%] 2023-07-07T20:06:49.5909508Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_float32 PASSED [0.0372s] [ 53%] 2023-07-07T20:06:49.5909990Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_int16 PASSED [0.0433s] [ 53%] 2023-07-07T20:06:49.5910477Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_int32 PASSED [0.0385s] [ 53%] 2023-07-07T20:06:49.5910938Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_int64 PASSED [0.0386s] [ 53%] 2023-07-07T20:06:49.5911416Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_int8 PASSED [0.0385s] [ 54%] 2023-07-07T20:06:49.5911903Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0505s] [ 54%] 2023-07-07T20:06:49.5912382Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_bool PASSED [0.0240s] [ 54%] 2023-07-07T20:06:49.5912854Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_float16 PASSED [0.0261s] [ 54%] 2023-07-07T20:06:49.5913334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_float32 PASSED [0.0208s] [ 54%] 2023-07-07T20:06:49.5913816Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_int16 PASSED [0.0189s] [ 54%] 2023-07-07T20:06:49.5914288Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_int32 PASSED [0.0189s] [ 54%] 2023-07-07T20:06:49.5914792Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_int64 PASSED [0.0188s] [ 54%] 2023-07-07T20:06:49.5915350Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_int8 PASSED [0.0192s] [ 54%] 2023-07-07T20:06:49.5915886Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_hstack_cpu_uint8 PASSED [0.0197s] [ 54%] 2023-07-07T20:06:49.5916374Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_bool PASSED [0.0139s] [ 54%] 2023-07-07T20:06:49.5916854Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0142s] [ 55%] 2023-07-07T20:06:49.5917351Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0140s] [ 55%] 2023-07-07T20:06:49.5917845Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0134s] [ 55%] 2023-07-07T20:06:49.5918339Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0134s] [ 55%] 2023-07-07T20:06:49.5918822Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0130s] [ 55%] 2023-07-07T20:06:49.5919320Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0134s] [ 55%] 2023-07-07T20:06:49.5919808Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0129s] [ 55%] 2023-07-07T20:06:49.5920418Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 55%] 2023-07-07T20:06:49.5921155Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 55%] 2023-07-07T20:06:49.5921690Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_bool PASSED [0.3039s] [ 55%] 2023-07-07T20:06:49.5922233Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 55%] 2023-07-07T20:06:49.5922773Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_float16 PASSED [0.3043s] [ 55%] 2023-07-07T20:06:49.5923309Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 55%] 2023-07-07T20:06:49.5923837Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_float32 PASSED [0.2977s] [ 55%] 2023-07-07T20:06:49.5924376Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 55%] 2023-07-07T20:06:49.5925024Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_int16 PASSED [0.3176s] [ 55%] 2023-07-07T20:06:49.5925556Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 56%] 2023-07-07T20:06:49.5926071Z 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 57%] 2023-07-07T20:06:49.5948111Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 57%] 2023-07-07T20:06:49.5948399Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 57%] 2023-07-07T20:06:49.5948682Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 57%] 2023-07-07T20:06:49.5948967Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented 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(Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5953304Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5953626Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5953952Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5954245Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5954534Z 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not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5958743Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5959033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5959386Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5959674Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5959957Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5960249Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5960527Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5960814Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5961102Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5961388Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5961704Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5962021Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5962311Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5962596Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5962882Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5963122Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float16 PASSED [0.3244s] [ 58%] 2023-07-07T20:06:49.5963412Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5963701Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5963989Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5964272Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5964679Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5965018Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5965342Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5965637Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5965921Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5966215Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5966502Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5966796Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5967082Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5967411Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5967737Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5968023Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5968312Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5968597Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5968872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5969164Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5969458Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5969745Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5970031Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5970321Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5970686Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5970980Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5971267Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5971556Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5971848Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5972137Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5972422Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5972711Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5973016Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5973334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5973625Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5973910Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5974145Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_float32 PASSED [0.3192s] [ 58%] 2023-07-07T20:06:49.5974442Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5974737Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5975028Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5975312Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5975604Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5975895Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5976207Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5976530Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5976824Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5977092Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5977386Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5977674Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5977954Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5978241Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5978560Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5978871Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5979160Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5979445Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5979724Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5980010Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5980298Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5980581Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5980868Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5981140Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5981424Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5981745Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5982079Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5982360Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5982646Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5982932Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5983217Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5983500Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5983784Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5984096Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5984413Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5984699Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5984936Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int16 PASSED [0.3666s] [ 58%] 2023-07-07T20:06:49.5985208Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5985494Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5985783Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5986071Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5986356Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5986639Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5986925Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5987248Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5987556Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5987845Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5988126Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5988407Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5988697Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5988981Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5989251Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5989534Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5989899Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5990187Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5990473Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5990757Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5991037Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5991324Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5991609Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5991892Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5992176Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5992462Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5992776Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5993087Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5993357Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5993637Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5993924Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5994212Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5994495Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5994779Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5995135Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5995487Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5995726Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int32 PASSED [0.4026s] [ 58%] 2023-07-07T20:06:49.5996009Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5996290Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5996573Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5996867Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5997151Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5997424Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5997708Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5997990Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5998314Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5998625Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5998908Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5999192Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5999477Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.5999761Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6000046Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6000327Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6000607Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6000920Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6001239Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6001505Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6001790Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6002074Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6002358Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6002646Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6002931Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6003210Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6003492Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6003807Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6004113Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6004528Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6004813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6005096Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6005387Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6005674Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6005942Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6006226Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6006504Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int64 PASSED [0.3139s] [ 58%] 2023-07-07T20:06:49.6006833Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6007128Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6007417Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6007699Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6007992Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6008287Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6008575Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6008863Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6009150Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6009437Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6009748Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6010079Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6010364Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6010648Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6010938Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6011221Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6011510Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6011794Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6013558Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6013832Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6014120Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6014402Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6016163Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6016448Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6016734Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6017023Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6020176Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6020461Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6020784Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6021095Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6022796Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6023080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6023384Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6023697Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6025406Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6025689Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6025956Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6026271Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6027956Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_tile_cpu_uint8 PASSED [0.3377s] [ 58%] 2023-07-07T20:06:49.6028254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6028551Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6028790Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_bool PASSED [0.0949s] [ 58%] 2023-07-07T20:06:49.6029159Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6029465Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6029696Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_float16 PASSED [0.0966s] [ 58%] 2023-07-07T20:06:49.6029992Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6030294Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6030540Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_float32 PASSED [0.1015s] [ 58%] 2023-07-07T20:06:49.6030842Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6031137Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 58%] 2023-07-07T20:06:49.6031378Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_int16 PASSED [0.1019s] [ 58%] 2023-07-07T20:06:49.6031677Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in 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59%] 2023-07-07T20:06:49.6033430Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 59%] 2023-07-07T20:06:49.6033732Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 59%] 2023-07-07T20:06:49.6033971Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_int8 PASSED [0.0942s] [ 59%] 2023-07-07T20:06:49.6034267Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 59%] 2023-07-07T20:06:49.6034562Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 59%] 2023-07-07T20:06:49.6034862Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_unflatten_cpu_uint8 PASSED [0.0924s] [ 59%] 2023-07-07T20:06:49.6035181Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_bool PASSED [0.0131s] [ 59%] 2023-07-07T20:06:49.6035426Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_float16 PASSED [0.0139s] [ 59%] 2023-07-07T20:06:49.6035659Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_float32 PASSED [0.0138s] [ 59%] 2023-07-07T20:06:49.6035893Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_int16 PASSED [0.0133s] [ 59%] 2023-07-07T20:06:49.6036121Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_int32 PASSED [0.0125s] [ 59%] 2023-07-07T20:06:49.6036342Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_int64 PASSED [0.0127s] [ 59%] 2023-07-07T20:06:49.6036576Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_int8 PASSED [0.0124s] [ 59%] 2023-07-07T20:06:49.6036813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset14CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0148s] [ 60%] 2023-07-07T20:06:49.6037114Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6037351Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan2_cpu_float32 PASSED [0.1556s] [ 60%] 2023-07-07T20:06:49.6037653Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6037960Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6038321Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6038619Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6038914Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6039211Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6039447Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_float16 PASSED [0.0095s] [ 60%] 2023-07-07T20:06:49.6039678Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_float32 PASSED [0.0091s] [ 60%] 2023-07-07T20:06:49.6039964Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 60%] 2023-07-07T20:06:49.6040261Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 61%] 2023-07-07T20:06:49.6040555Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 61%] 2023-07-07T20:06:49.6040905Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 61%] 2023-07-07T20:06:49.6041203Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 61%] 2023-07-07T20:06:49.6041444Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0778s] [ 61%] 2023-07-07T20:06:49.6041688Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0798s] [ 61%] 2023-07-07T20:06:49.6041932Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0790s] [ 61%] 2023-07-07T20:06:49.6042175Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0763s] [ 61%] 2023-07-07T20:06:49.6042419Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0751s] [ 61%] 2023-07-07T20:06:49.6042658Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0767s] [ 61%] 2023-07-07T20:06:49.6042884Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0749s] [ 61%] 2023-07-07T20:06:49.6043124Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0714s] [ 62%] 2023-07-07T20:06:49.6043354Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_ceil_cpu_float16 PASSED [0.0079s] [ 62%] 2023-07-07T20:06:49.6043587Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_ceil_cpu_float32 PASSED [0.0074s] [ 62%] 2023-07-07T20:06:49.6043850Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0050s] [ 62%] 2023-07-07T20:06:49.6044077Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0052s] [ 62%] 2023-07-07T20:06:49.6044328Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0050s] [ 62%] 2023-07-07T20:06:49.6044641Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0052s] [ 62%] 2023-07-07T20:06:49.6044869Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0049s] [ 62%] 2023-07-07T20:06:49.6045104Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_bool PASSED [0.0958s] [ 62%] 2023-07-07T20:06:49.6045347Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_float16 PASSED [0.0956s] [ 62%] 2023-07-07T20:06:49.6045571Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_float32 PASSED [0.0959s] [ 62%] 2023-07-07T20:06:49.6045808Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_int16 PASSED [0.0948s] [ 63%] 2023-07-07T20:06:49.6046036Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_int32 PASSED [0.0955s] [ 63%] 2023-07-07T20:06:49.6046264Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_int64 PASSED [0.0939s] [ 63%] 2023-07-07T20:06:49.6046499Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_int8 PASSED [0.0934s] [ 63%] 2023-07-07T20:06:49.6046812Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_expand_cpu_uint8 PASSED [0.0938s] [ 63%] 2023-07-07T20:06:49.6047047Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_bool PASSED [0.0344s] [ 63%] 2023-07-07T20:06:49.6047292Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_float16 PASSED [0.0375s] [ 63%] 2023-07-07T20:06:49.6047531Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_float32 PASSED [0.0358s] [ 63%] 2023-07-07T20:06:49.6047765Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_int16 PASSED [0.0341s] [ 63%] 2023-07-07T20:06:49.6047981Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_int32 PASSED [0.0335s] [ 63%] 2023-07-07T20:06:49.6048209Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_int64 PASSED [0.0329s] [ 63%] 2023-07-07T20:06:49.6048446Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_int8 PASSED [0.0328s] [ 64%] 2023-07-07T20:06:49.6048680Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0322s] [ 64%] 2023-07-07T20:06:49.6048915Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_bool PASSED [0.0169s] [ 64%] 2023-07-07T20:06:49.6049151Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_float16 PASSED [0.0188s] [ 64%] 2023-07-07T20:06:49.6049388Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_float32 PASSED [0.0187s] [ 64%] 2023-07-07T20:06:49.6049622Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_int16 PASSED [0.0174s] [ 64%] 2023-07-07T20:06:49.6049855Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_int32 PASSED [0.0171s] [ 64%] 2023-07-07T20:06:49.6050114Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_int64 PASSED [0.0174s] [ 64%] 2023-07-07T20:06:49.6050373Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_int8 PASSED [0.0172s] [ 64%] 2023-07-07T20:06:49.6050605Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_hstack_cpu_uint8 PASSED [0.0173s] [ 64%] 2023-07-07T20:06:49.6050841Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_bool PASSED [0.0129s] [ 64%] 2023-07-07T20:06:49.6051080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0128s] [ 65%] 2023-07-07T20:06:49.6051317Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0131s] [ 65%] 2023-07-07T20:06:49.6051562Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0126s] [ 65%] 2023-07-07T20:06:49.6051802Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0122s] [ 65%] 2023-07-07T20:06:49.6052038Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0124s] [ 65%] 2023-07-07T20:06:49.6052276Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0127s] [ 65%] 2023-07-07T20:06:49.6052513Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0123s] [ 65%] 2023-07-07T20:06:49.6052895Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 65%] 2023-07-07T20:06:49.6053200Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 65%] 2023-07-07T20:06:49.6053433Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_bool PASSED [0.2971s] [ 65%] 2023-07-07T20:06:49.6053720Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 65%] 2023-07-07T20:06:49.6053955Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_float16 PASSED [0.3049s] [ 65%] 2023-07-07T20:06:49.6054244Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 65%] 2023-07-07T20:06:49.6054482Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_float32 PASSED [0.3221s] [ 65%] 2023-07-07T20:06:49.6054769Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 65%] 2023-07-07T20:06:49.6055003Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int16 PASSED [0.2964s] [ 65%] 2023-07-07T20:06:49.6055288Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 66%] 2023-07-07T20:06:49.6055522Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int32 PASSED [0.2987s] [ 66%] 2023-07-07T20:06:49.6055808Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 66%] 2023-07-07T20:06:49.6056073Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int64 PASSED [0.3095s] [ 66%] 2023-07-07T20:06:49.6056369Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 66%] 2023-07-07T20:06:49.6056602Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_int8 PASSED [0.2981s] [ 66%] 2023-07-07T20:06:49.6056890Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 66%] 2023-07-07T20:06:49.6057122Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_repeat_cpu_uint8 PASSED [0.2978s] [ 66%] 2023-07-07T20:06:49.6057422Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 66%] 2023-07-07T20:06:49.6057657Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0081s] [ 66%] 2023-07-07T20:06:49.6057887Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0077s] [ 66%] 2023-07-07T20:06:49.6058116Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0074s] [ 66%] 2023-07-07T20:06:49.6058351Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0072s] [ 66%] 2023-07-07T20:06:49.6058581Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0071s] [ 66%] 2023-07-07T20:06:49.6058866Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0072s] [ 66%] 2023-07-07T20:06:49.6059083Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0068s] [ 67%] 2023-07-07T20:06:49.6059386Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_stft_cpu_float32 SKIPPED [0.0001s] (Skip: STFT on certain dtypes not supported by the ONNX Spec) [ 67%] 2023-07-07T20:06:49.6059615Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_bool PASSED [0.0107s] [ 67%] 2023-07-07T20:06:49.6059842Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_float16 PASSED [0.0111s] [ 67%] 2023-07-07T20:06:49.6060070Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_float32 PASSED [0.0109s] [ 67%] 2023-07-07T20:06:49.6060301Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_int16 PASSED [0.0103s] [ 67%] 2023-07-07T20:06:49.6060524Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_int32 PASSED [0.0104s] [ 67%] 2023-07-07T20:06:49.6060753Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_int64 PASSED [0.0104s] [ 67%] 2023-07-07T20:06:49.6060977Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_int8 PASSED [0.0105s] [ 67%] 2023-07-07T20:06:49.6061203Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_t_cpu_uint8 PASSED [0.0104s] [ 67%] 2023-07-07T20:06:49.6061481Z 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2023-07-07T20:06:49.6088869Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6089191Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6089482Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6089776Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6090065Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6090357Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6090652Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6090934Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6091244Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6091535Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6091875Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6092163Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6092452Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6092740Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6093033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6093323Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6093608Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6093896Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6094188Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6094475Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6094789Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6095076Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6095349Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6095635Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6095923Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6096209Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6096497Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6096813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6097100Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6097436Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6097721Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6098008Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6098298Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6098534Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_float32 PASSED [0.3255s] [ 68%] 2023-07-07T20:06:49.6098830Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6099113Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6099391Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6099682Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6099967Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6100283Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6100570Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6100854Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6101141Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6101428Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6101713Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6102000Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6102311Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6102597Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6102944Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6103234Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6103499Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6103784Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6104070Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6104357Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6104642Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6104925Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6105205Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6105494Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6105809Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6106092Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6106374Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6106657Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6106940Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6107226Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6107495Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6107803Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6108087Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6108425Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6108711Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6108995Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6109232Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int16 PASSED [0.3338s] [ 68%] 2023-07-07T20:06:49.6109513Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6109799Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6110087Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6110370Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6110657Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6110938Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6111224Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6111524Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6111810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6112090Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6112374Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6112663Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6112943Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6113256Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6113540Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6113848Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6114164Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6114446Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6114727Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6115093Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6115381Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6115655Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6115939Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6116225Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6116504Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6116792Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6117111Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6117393Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6117675Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6117957Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6118242Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6118524Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6118836Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6119116Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6119428Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6119724Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6119957Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int32 PASSED [0.3189s] [ 68%] 2023-07-07T20:06:49.6120244Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6120531Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6120812Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6121103Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6121389Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6121671Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6121955Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6122238Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6122552Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6122834Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6123121Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6123400Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6123674Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6123958Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6124239Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6124807Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6125096Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6125445Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6125735Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6126024Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6126305Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6126592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6126882Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6127164Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6127449Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6127732Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6128001Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6128320Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6128607Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6128889Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6129170Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6129456Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6129737Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6130018Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6130334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6130615Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6130910Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int64 PASSED [0.3196s] [ 68%] 2023-07-07T20:06:49.6131202Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6131486Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6131779Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6132054Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6132341Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6132634Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6132923Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6133205Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6133492Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6133810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6134093Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6134386Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6134671Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6134954Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6135243Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6135530Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6135843Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6136119Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6136436Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6136747Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6137033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6137321Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6137601Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6137895Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6138180Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6138462Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6138748Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6139031Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6139345Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6139627Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6139913Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6140181Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6140467Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6140754Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6141037Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6141351Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6141587Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_int8 PASSED [0.3686s] [ 68%] 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SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6143384Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6143670Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6143943Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6144231Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6144514Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6144803Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6145119Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6145402Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6145689Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not 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onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6147428Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6147768Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6148037Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6148326Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6148608Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6148889Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6149176Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6149462Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6149746Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6150028Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6150312Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6150621Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6150905Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6151192Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6151472Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6151761Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6152045Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6152266Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_tile_cpu_uint8 PASSED [0.3177s] [ 68%] 2023-07-07T20:06:49.6152589Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6152890Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6153187Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_bool PASSED [0.0937s] [ 68%] 2023-07-07T20:06:49.6153492Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6153794Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6154039Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_float16 PASSED [0.0949s] [ 68%] 2023-07-07T20:06:49.6154342Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6154646Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6154887Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_float32 PASSED [0.0949s] [ 68%] 2023-07-07T20:06:49.6155249Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6155554Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 68%] 2023-07-07T20:06:49.6155779Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int16 PASSED [0.0927s] [ 68%] 2023-07-07T20:06:49.6156080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6156419Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6156659Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int32 PASSED [0.0948s] [ 69%] 2023-07-07T20:06:49.6156958Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6157255Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6157491Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int64 PASSED [0.0924s] [ 69%] 2023-07-07T20:06:49.6157790Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6158083Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6158356Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_int8 PASSED [0.0907s] [ 69%] 2023-07-07T20:06:49.6158655Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6158977Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 69%] 2023-07-07T20:06:49.6159242Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_unflatten_cpu_uint8 PASSED [0.0927s] [ 69%] 2023-07-07T20:06:49.6159461Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_bool PASSED [0.0130s] [ 69%] 2023-07-07T20:06:49.6159695Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_float16 PASSED [0.0142s] [ 69%] 2023-07-07T20:06:49.6159929Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_float32 PASSED [0.0138s] [ 69%] 2023-07-07T20:06:49.6160163Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_int16 PASSED [0.0128s] [ 69%] 2023-07-07T20:06:49.6160393Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_int32 PASSED [0.0133s] [ 69%] 2023-07-07T20:06:49.6160623Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_int64 PASSED [0.0129s] [ 69%] 2023-07-07T20:06:49.6160852Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_int8 PASSED [0.0130s] [ 69%] 2023-07-07T20:06:49.6161084Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset15CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0129s] [ 70%] 2023-07-07T20:06:49.6161384Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6161617Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan2_cpu_float32 PASSED [0.0984s] [ 70%] 2023-07-07T20:06:49.6161918Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6162240Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6162539Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6162836Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6163133Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6163433Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6163670Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_float16 PASSED [0.0094s] [ 70%] 2023-07-07T20:06:49.6163896Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_float32 PASSED [0.0089s] [ 70%] 2023-07-07T20:06:49.6164228Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 70%] 2023-07-07T20:06:49.6164627Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 71%] 2023-07-07T20:06:49.6164970Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 71%] 2023-07-07T20:06:49.6165301Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 71%] 2023-07-07T20:06:49.6165592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 71%] 2023-07-07T20:06:49.6165841Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0752s] [ 71%] 2023-07-07T20:06:49.6166073Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0776s] [ 71%] 2023-07-07T20:06:49.6166322Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0781s] [ 71%] 2023-07-07T20:06:49.6166564Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0773s] [ 71%] 2023-07-07T20:06:49.6166803Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0748s] [ 71%] 2023-07-07T20:06:49.6167043Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0764s] [ 71%] 2023-07-07T20:06:49.6167284Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0732s] [ 71%] 2023-07-07T20:06:49.6167524Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0745s] [ 72%] 2023-07-07T20:06:49.6167761Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_ceil_cpu_float16 PASSED [0.0081s] [ 72%] 2023-07-07T20:06:49.6168036Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_ceil_cpu_float32 PASSED [0.0075s] [ 72%] 2023-07-07T20:06:49.6168264Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0049s] [ 72%] 2023-07-07T20:06:49.6168482Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0053s] [ 72%] 2023-07-07T20:06:49.6168712Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0047s] [ 72%] 2023-07-07T20:06:49.6168939Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0050s] [ 72%] 2023-07-07T20:06:49.6169166Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0047s] [ 72%] 2023-07-07T20:06:49.6169404Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_bool PASSED [0.1021s] [ 72%] 2023-07-07T20:06:49.6169644Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_float16 PASSED [0.1050s] [ 72%] 2023-07-07T20:06:49.6169877Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_float32 PASSED [0.0963s] [ 72%] 2023-07-07T20:06:49.6170110Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_int16 PASSED [0.0940s] [ 73%] 2023-07-07T20:06:49.6170381Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_int32 PASSED [0.0931s] [ 73%] 2023-07-07T20:06:49.6170608Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_int64 PASSED [0.0917s] [ 73%] 2023-07-07T20:06:49.6170868Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_int8 PASSED [0.0918s] [ 73%] 2023-07-07T20:06:49.6171114Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_expand_cpu_uint8 PASSED [0.0921s] [ 73%] 2023-07-07T20:06:49.6171343Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_bool PASSED [0.0341s] [ 73%] 2023-07-07T20:06:49.6171578Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_float16 PASSED [0.0356s] [ 73%] 2023-07-07T20:06:49.6171811Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_float32 PASSED [0.0366s] [ 73%] 2023-07-07T20:06:49.6172046Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_int16 PASSED [0.0354s] [ 73%] 2023-07-07T20:06:49.6172276Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_int32 PASSED [0.0347s] [ 73%] 2023-07-07T20:06:49.6172506Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_int64 PASSED [0.0340s] [ 73%] 2023-07-07T20:06:49.6172742Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_int8 PASSED [0.0332s] [ 74%] 2023-07-07T20:06:49.6172975Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0329s] [ 74%] 2023-07-07T20:06:49.6173207Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_bool PASSED [0.0173s] [ 74%] 2023-07-07T20:06:49.6173432Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_float16 PASSED [0.0186s] [ 74%] 2023-07-07T20:06:49.6173663Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_float32 PASSED [0.0309s] [ 74%] 2023-07-07T20:06:49.6173898Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_int16 PASSED [0.0634s] [ 74%] 2023-07-07T20:06:49.6174153Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_int32 PASSED [0.0196s] [ 74%] 2023-07-07T20:06:49.6174375Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_int64 PASSED [0.0184s] [ 74%] 2023-07-07T20:06:49.6174603Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_int8 PASSED [0.0183s] [ 74%] 2023-07-07T20:06:49.6174835Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_hstack_cpu_uint8 PASSED [0.0186s] [ 74%] 2023-07-07T20:06:49.6175073Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_bool PASSED [0.0134s] [ 74%] 2023-07-07T20:06:49.6175316Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0134s] [ 75%] 2023-07-07T20:06:49.6175560Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0146s] [ 75%] 2023-07-07T20:06:49.6175783Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0131s] [ 75%] 2023-07-07T20:06:49.6176021Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0131s] [ 75%] 2023-07-07T20:06:49.6176290Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0127s] [ 75%] 2023-07-07T20:06:49.6176531Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0126s] [ 75%] 2023-07-07T20:06:49.6176768Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0125s] [ 75%] 2023-07-07T20:06:49.6177177Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 75%] 2023-07-07T20:06:49.6177464Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 75%] 2023-07-07T20:06:49.6177702Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_bool PASSED [0.3006s] [ 75%] 2023-07-07T20:06:49.6177988Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 75%] 2023-07-07T20:06:49.6178222Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_float16 PASSED [0.3190s] [ 75%] 2023-07-07T20:06:49.6178511Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 75%] 2023-07-07T20:06:49.6178750Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_float32 PASSED [0.3192s] [ 75%] 2023-07-07T20:06:49.6179023Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 75%] 2023-07-07T20:06:49.6179258Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int16 PASSED [0.3074s] [ 75%] 2023-07-07T20:06:49.6179538Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 76%] 2023-07-07T20:06:49.6179773Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int32 PASSED [0.3075s] [ 76%] 2023-07-07T20:06:49.6180095Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 76%] 2023-07-07T20:06:49.6180324Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int64 PASSED [0.3018s] [ 76%] 2023-07-07T20:06:49.6180608Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 76%] 2023-07-07T20:06:49.6180844Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_int8 PASSED [0.3651s] [ 76%] 2023-07-07T20:06:49.6181128Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 76%] 2023-07-07T20:06:49.6181366Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_repeat_cpu_uint8 PASSED [0.3092s] [ 76%] 2023-07-07T20:06:49.6181662Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 76%] 2023-07-07T20:06:49.6181879Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0077s] [ 76%] 2023-07-07T20:06:49.6182161Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0080s] [ 76%] 2023-07-07T20:06:49.6182395Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0075s] [ 76%] 2023-07-07T20:06:49.6182625Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0071s] [ 76%] 2023-07-07T20:06:49.6182922Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0071s] [ 76%] 2023-07-07T20:06:49.6183155Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0073s] [ 76%] 2023-07-07T20:06:49.6183383Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0071s] [ 77%] 2023-07-07T20:06:49.6183683Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_stft_cpu_float32 SKIPPED [0.0002s] (Skip: STFT on certain dtypes not supported by the ONNX Spec) [ 77%] 2023-07-07T20:06:49.6183908Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_bool PASSED [0.0139s] [ 77%] 2023-07-07T20:06:49.6184140Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_float16 PASSED [0.0113s] [ 77%] 2023-07-07T20:06:49.6184373Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_float32 PASSED [0.0112s] [ 77%] 2023-07-07T20:06:49.6184588Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_int16 PASSED [0.0104s] [ 77%] 2023-07-07T20:06:49.6184815Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_int32 PASSED [0.0108s] [ 77%] 2023-07-07T20:06:49.6185041Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_int64 PASSED [0.0104s] [ 77%] 2023-07-07T20:06:49.6185270Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_int8 PASSED [0.0102s] [ 77%] 2023-07-07T20:06:49.6185495Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_t_cpu_uint8 PASSED [0.0103s] [ 77%] 2023-07-07T20:06:49.6185792Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6186121Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6186414Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6186700Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6186996Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6187287Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6187565Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6187856Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6188170Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6188453Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6188800Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6189088Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6189373Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6189660Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6189948Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6190236Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6190526Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6190813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6191092Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6191380Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6191691Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6191969Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6192261Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6192547Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6192830Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6193122Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6193402Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6193707Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6193994Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6194329Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6194612Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6194977Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6195269Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6195550Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6195831Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6196116Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 77%] 2023-07-07T20:06:49.6196347Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_bool PASSED [0.3207s] [ 77%] 2023-07-07T20:06:49.6196646Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6196941Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6197242Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6197575Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6197868Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6198162Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6198458Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6198754Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6199044Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6199360Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6199648Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6199953Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6200274Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6200564Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6200853Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6201139Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6201429Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6201722Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6202011Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6202302Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6202591Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6202914Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6203197Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6203487Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6203774Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6204050Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6204342Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6204739Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6205085Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6205378Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6205708Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6206034Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6206323Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6206612Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6206898Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6207192Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6207432Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float16 PASSED [0.3336s] [ 78%] 2023-07-07T20:06:49.6207720Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6208008Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6208281Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6208567Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6208890Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6209181Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6209469Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6209755Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6210046Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6210328Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6210645Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6210933Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6211246Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6211567Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6211851Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6212135Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6212408Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6212698Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6212985Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6213272Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6213558Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6213839Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6214164Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6214449Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6214737Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6215026Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6215312Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6215601Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6215890Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6216208Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6216479Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6216791Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6217105Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6217391Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6217681Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6217965Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6218206Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_float32 PASSED [0.3897s] [ 78%] 2023-07-07T20:06:49.6218496Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6218785Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6219078Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6219359Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6219652Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6219972Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6220254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6220531Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6220816Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6221103Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6221394Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6221710Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6221992Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6222310Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6222632Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6222912Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6223202Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6223483Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6223765Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6224053Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6224335Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6224602Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6224885Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6225173Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6225484Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6225769Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6226053Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6226330Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6226620Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6226904Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6227211Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6227499Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6227807Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6228118Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6228400Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6228672Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6228903Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int16 PASSED [0.3615s] [ 78%] 2023-07-07T20:06:49.6229185Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6229470Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6229747Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6230035Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6230316Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6230599Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6230918Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6231198Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6231477Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6231761Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6232044Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6232323Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6232592Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6232905Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6233185Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6233526Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6233810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6234092Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6234372Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6234653Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6235016Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6235305Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6235593Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6235872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6236161Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6236483Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6236748Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6237036Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6237316Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6237598Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6237884Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6238166Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6238474Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6238760Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6239098Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6239379Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6239613Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int32 PASSED [0.3566s] [ 78%] 2023-07-07T20:06:49.6239894Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6240172Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6240464Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6240736Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6241016Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6241301Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6241581Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6241891Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6242174Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6242457Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6242733Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6243019Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6243302Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6243577Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6243898Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6244180Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6244606Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6244915Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6245198Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6245479Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6245764Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6246053Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6246332Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6246619Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6246902Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6247180Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6247507Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6247791Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6248074Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6248364Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6248646Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6248914Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6249197Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6249519Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6249799Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6250113Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6250378Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int64 PASSED [0.3655s] [ 78%] 2023-07-07T20:06:49.6250667Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6250957Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6251247Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6251532Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6251825Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6252109Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6252393Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6252681Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6252959Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6253268Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6253556Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6253844Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6254127Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6254421Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6254708Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6255024Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6255314Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6255600Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6255940Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6256229Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6256513Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6256794Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6257071Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6257355Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6257633Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6257922Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6258203Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6258484Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6258807Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6259089Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6259372Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6259657Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6259941Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6260222Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6260511Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6260808Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6261043Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_int8 PASSED [0.3639s] [ 78%] 2023-07-07T20:06:49.6261405Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6261697Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6261980Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6262271Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6262560Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6262845Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6263135Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6263421Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6263701Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6263995Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6264316Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6264597Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6264872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6265157Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6265440Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6265733Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6266014Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6266327Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6266618Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6266957Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6267242Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6267526Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6267810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6268090Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6268379Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6268662Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6268929Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6269215Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6269495Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6269809Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6270095Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6270383Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6270665Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6270953Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6271236Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6271516Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6271781Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_tile_cpu_uint8 PASSED [0.3394s] [ 78%] 2023-07-07T20:06:49.6272078Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6272403Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6272677Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_bool PASSED [0.0931s] [ 78%] 2023-07-07T20:06:49.6272967Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6273271Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6273514Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_float16 PASSED [0.0947s] [ 78%] 2023-07-07T20:06:49.6273812Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6274113Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6274355Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_float32 PASSED [0.0943s] [ 78%] 2023-07-07T20:06:49.6274651Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6275029Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 78%] 2023-07-07T20:06:49.6275274Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int16 PASSED [0.0921s] [ 78%] 2023-07-07T20:06:49.6275614Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6275910Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6276151Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int32 PASSED [0.0922s] [ 79%] 2023-07-07T20:06:49.6276446Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6276728Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6276973Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int64 PASSED [0.0908s] [ 79%] 2023-07-07T20:06:49.6277269Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6277596Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6277837Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_int8 PASSED [0.0918s] [ 79%] 2023-07-07T20:06:49.6278134Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6278491Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 79%] 2023-07-07T20:06:49.6278727Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_unflatten_cpu_uint8 PASSED [0.0917s] [ 79%] 2023-07-07T20:06:49.6278959Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_bool PASSED [0.0134s] [ 79%] 2023-07-07T20:06:49.6279197Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_float16 PASSED [0.0143s] [ 79%] 2023-07-07T20:06:49.6279427Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_float32 PASSED [0.0141s] [ 79%] 2023-07-07T20:06:49.6279659Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_int16 PASSED [0.0126s] [ 79%] 2023-07-07T20:06:49.6279880Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_int32 PASSED [0.0126s] [ 79%] 2023-07-07T20:06:49.6280115Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_int64 PASSED [0.0180s] [ 79%] 2023-07-07T20:06:49.6280347Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_int8 PASSED [0.0186s] [ 79%] 2023-07-07T20:06:49.6280581Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset16CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0154s] [ 80%] 2023-07-07T20:06:49.6280878Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0003s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6281116Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan2_cpu_float32 PASSED [0.1352s] [ 80%] 2023-07-07T20:06:49.6281455Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6281758Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6282058Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6282353Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6282650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6282950Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6283169Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_float16 PASSED [0.0101s] [ 80%] 2023-07-07T20:06:49.6283436Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_float32 PASSED [0.0088s] [ 80%] 2023-07-07T20:06:49.6283734Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 80%] 2023-07-07T20:06:49.6284028Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 81%] 2023-07-07T20:06:49.6284494Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 81%] 2023-07-07T20:06:49.6284797Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 81%] 2023-07-07T20:06:49.6285093Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 81%] 2023-07-07T20:06:49.6285336Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0905s] [ 81%] 2023-07-07T20:06:49.6285587Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0780s] [ 81%] 2023-07-07T20:06:49.6285839Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0766s] [ 81%] 2023-07-07T20:06:49.6286079Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0724s] [ 81%] 2023-07-07T20:06:49.6286321Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0736s] [ 81%] 2023-07-07T20:06:49.6286542Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0696s] [ 81%] 2023-07-07T20:06:49.6286784Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0691s] [ 81%] 2023-07-07T20:06:49.6287024Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0695s] [ 82%] 2023-07-07T20:06:49.6287263Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_ceil_cpu_float16 PASSED [0.0081s] [ 82%] 2023-07-07T20:06:49.6287546Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_ceil_cpu_float32 PASSED [0.0077s] [ 82%] 2023-07-07T20:06:49.6287773Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0052s] [ 82%] 2023-07-07T20:06:49.6288002Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0050s] [ 82%] 2023-07-07T20:06:49.6288232Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0049s] [ 82%] 2023-07-07T20:06:49.6288459Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0050s] [ 82%] 2023-07-07T20:06:49.6288688Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0048s] [ 82%] 2023-07-07T20:06:49.6288914Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_bool PASSED [0.1006s] [ 82%] 2023-07-07T20:06:49.6289154Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_float16 PASSED [0.0960s] [ 82%] 2023-07-07T20:06:49.6289391Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_float32 PASSED [0.0967s] [ 82%] 2023-07-07T20:06:49.6289659Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_int16 PASSED [0.0948s] [ 83%] 2023-07-07T20:06:49.6289889Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_int32 PASSED [0.0940s] [ 83%] 2023-07-07T20:06:49.6290117Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_int64 PASSED [0.0941s] [ 83%] 2023-07-07T20:06:49.6290425Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_int8 PASSED [0.0932s] [ 83%] 2023-07-07T20:06:49.6290659Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_expand_cpu_uint8 PASSED [0.0941s] [ 83%] 2023-07-07T20:06:49.6290888Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_bool PASSED [0.0336s] [ 83%] 2023-07-07T20:06:49.6291125Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_float16 PASSED [0.0355s] [ 83%] 2023-07-07T20:06:49.6291348Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_float32 PASSED [0.0351s] [ 83%] 2023-07-07T20:06:49.6291582Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_int16 PASSED [0.0337s] [ 83%] 2023-07-07T20:06:49.6291818Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_int32 PASSED [0.0340s] [ 83%] 2023-07-07T20:06:49.6292045Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_int64 PASSED [0.0332s] [ 83%] 2023-07-07T20:06:49.6292277Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_int8 PASSED [0.0333s] [ 84%] 2023-07-07T20:06:49.6292510Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0327s] [ 84%] 2023-07-07T20:06:49.6292743Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_bool PASSED [0.0175s] [ 84%] 2023-07-07T20:06:49.6292980Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_float16 PASSED [0.0195s] [ 84%] 2023-07-07T20:06:49.6293216Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_float32 PASSED [0.0188s] [ 84%] 2023-07-07T20:06:49.6293482Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_int16 PASSED [0.0180s] [ 84%] 2023-07-07T20:06:49.6293696Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_int32 PASSED [0.0175s] [ 84%] 2023-07-07T20:06:49.6293922Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_int64 PASSED [0.0176s] [ 84%] 2023-07-07T20:06:49.6294158Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_int8 PASSED [0.0177s] [ 84%] 2023-07-07T20:06:49.6294388Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_hstack_cpu_uint8 PASSED [0.0176s] [ 84%] 2023-07-07T20:06:49.6294626Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_bool PASSED [0.0129s] [ 84%] 2023-07-07T20:06:49.6294871Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0131s] [ 85%] 2023-07-07T20:06:49.6295109Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0132s] [ 85%] 2023-07-07T20:06:49.6295346Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0127s] [ 85%] 2023-07-07T20:06:49.6295616Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0124s] [ 85%] 2023-07-07T20:06:49.6295856Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0124s] [ 85%] 2023-07-07T20:06:49.6296088Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0124s] [ 85%] 2023-07-07T20:06:49.6296379Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0124s] [ 85%] 2023-07-07T20:06:49.6296733Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 85%] 2023-07-07T20:06:49.6297023Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 85%] 2023-07-07T20:06:49.6297258Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_bool PASSED [0.3443s] [ 85%] 2023-07-07T20:06:49.6297545Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 85%] 2023-07-07T20:06:49.6297789Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_float16 PASSED [0.3410s] [ 85%] 2023-07-07T20:06:49.6298083Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 85%] 2023-07-07T20:06:49.6298317Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_float32 PASSED [0.3203s] [ 85%] 2023-07-07T20:06:49.6298608Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 85%] 2023-07-07T20:06:49.6298841Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int16 PASSED [0.3093s] [ 85%] 2023-07-07T20:06:49.6299126Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 86%] 2023-07-07T20:06:49.6299394Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int32 PASSED [0.3032s] [ 86%] 2023-07-07T20:06:49.6299661Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 86%] 2023-07-07T20:06:49.6299899Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int64 PASSED [0.3634s] [ 86%] 2023-07-07T20:06:49.6300185Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 86%] 2023-07-07T20:06:49.6300420Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_int8 PASSED [0.3082s] [ 86%] 2023-07-07T20:06:49.6300706Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 86%] 2023-07-07T20:06:49.6300946Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_repeat_cpu_uint8 PASSED [0.3056s] [ 86%] 2023-07-07T20:06:49.6301244Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 86%] 2023-07-07T20:06:49.6301503Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0081s] [ 86%] 2023-07-07T20:06:49.6301737Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0080s] [ 86%] 2023-07-07T20:06:49.6301967Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0080s] [ 86%] 2023-07-07T20:06:49.6302263Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0078s] [ 86%] 2023-07-07T20:06:49.6302485Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0081s] [ 86%] 2023-07-07T20:06:49.6302714Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0082s] [ 86%] 2023-07-07T20:06:49.6302942Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0075s] [ 87%] 2023-07-07T20:06:49.6303174Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_stft_cpu_float32 XFAIL [0.0018s] [ 87%] 2023-07-07T20:06:49.6303431Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_bool PASSED [0.0121s] [ 87%] 2023-07-07T20:06:49.6303742Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_float16 PASSED [0.0115s] [ 87%] 2023-07-07T20:06:49.6304073Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_float32 PASSED [0.0113s] [ 87%] 2023-07-07T20:06:49.6304918Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_int16 PASSED [0.0103s] [ 87%] 2023-07-07T20:06:49.6305595Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_int32 PASSED [0.0105s] [ 87%] 2023-07-07T20:06:49.6306424Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_int64 PASSED [0.0103s] [ 87%] 2023-07-07T20:06:49.6307088Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_int8 PASSED [0.0104s] [ 87%] 2023-07-07T20:06:49.6307776Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_t_cpu_uint8 PASSED [0.0104s] [ 87%] 2023-07-07T20:06:49.6308735Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6309948Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6311056Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6312160Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6313270Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6314369Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6315567Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6316735Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6317680Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6318683Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6319361Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6319957Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6320545Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6321131Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6321712Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6322307Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6322892Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6323487Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6324070Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6324771Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6325443Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6326033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6326621Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6327210Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6327787Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6328372Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6328962Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6329588Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6330171Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6330817Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6331407Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6331998Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6332584Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6333159Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6333742Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6334326Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 87%] 2023-07-07T20:06:49.6334857Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_bool PASSED [0.3155s] [ 87%] 2023-07-07T20:06:49.6335396Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6335981Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6336609Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6337202Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6337795Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6338379Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6338953Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6339550Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6340132Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6340744Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6341510Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6342528Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6343488Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6344456Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6345048Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6345624Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6346216Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6346813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6347402Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6347984Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6348562Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6349198Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6349793Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6350382Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6350970Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6351546Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6352128Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6352719Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6353354Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6353938Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6354569Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6355244Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6355827Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6356414Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6357003Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6357579Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6358116Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float16 PASSED [0.3310s] [ 88%] 2023-07-07T20:06:49.6358658Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6359251Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6359824Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6360444Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6361027Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6361619Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6362198Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6362770Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6363359Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6363951Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6364791Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6365379Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6366015Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6366610Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6367202Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6367797Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6368380Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6368955Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6369545Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6370130Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6370715Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6371287Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6371911Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6372504Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6373091Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6373678Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6374254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6374845Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6375435Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6376059Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6376645Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6377267Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6377858Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6378450Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6379041Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6379629Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6380155Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_float32 PASSED [0.3244s] [ 88%] 2023-07-07T20:06:49.6380694Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6381282Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6381878Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6382473Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6383081Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6383673Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6384262Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6384848Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6385432Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6386022Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6386606Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6387228Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6387817Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6388416Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6389043Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6389624Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6390204Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6390791Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6391362Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6391947Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6392530Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6393115Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6393702Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6394316Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6394893Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6395590Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6396174Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6396764Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6397333Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6397914Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6398538Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6399118Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6399723Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6400333Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6400905Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6401500Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6402029Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int16 PASSED [0.3174s] [ 88%] 2023-07-07T20:06:49.6402551Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6403142Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6403727Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6404310Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6405013Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6405589Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6406214Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6406803Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6407386Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6407954Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6408544Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6409129Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6409758Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6410345Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6410917Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6411572Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6412158Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6412742Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6413324Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6413897Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6414483Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6415055Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6415640Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6416221Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6416793Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6417417Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6417993Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6418572Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6419155Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6419725Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6420302Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6420921Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6421503Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6422069Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6422724Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6423303Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6423836Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int32 PASSED [0.3172s] [ 88%] 2023-07-07T20:06:49.6424370Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6424945Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6425526Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6426105Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6426753Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6427334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6427913Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6428527Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6429099Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6429689Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6430272Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6430840Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6431422Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6432002Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6432643Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6433216Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6433853Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6434433Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6435084Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6435670Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6436234Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6436826Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6437405Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6437986Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6438575Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6439145Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6439756Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6440333Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6440917Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6441496Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6442071Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6442651Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6443235Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6443848Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6444529Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6445188Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6445719Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int64 PASSED [0.3188s] [ 88%] 2023-07-07T20:06:49.6446265Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6446848Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6447429Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6448021Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6448609Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6449198Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6449782Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6450352Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6450943Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6451609Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6452193Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6452784Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6453357Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6453948Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6454537Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6455155Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6455726Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6456334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6456950Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6457526Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6458113Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6458687Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6459279Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6459871Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6460454Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6461033Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6461608Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6462199Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6462818Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6463401Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6463990Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6464566Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6465163Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6465752Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6466364Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6466940Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6467474Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_int8 PASSED [0.3235s] [ 88%] 2023-07-07T20:06:49.6468081Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6468683Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6469278Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6469855Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6470452Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6471041Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6471635Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6472228Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6472809Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6473391Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6474009Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6474595Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6475278Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6475850Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6476435Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6477019Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6477608Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6478221Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6478801Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6479439Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6480024Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6480607Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6481184Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6481766Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6482351Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6482942Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6483529Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6484093Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6484786Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6485412Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6485996Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6486585Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6487151Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6487728Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6488319Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6488906Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6489461Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_tile_cpu_uint8 PASSED [0.3879s] [ 88%] 2023-07-07T20:06:49.6490009Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6490647Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6491228Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_bool PASSED [0.0948s] [ 88%] 2023-07-07T20:06:49.6491778Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6492374Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6492925Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_float16 PASSED [0.0972s] [ 88%] 2023-07-07T20:06:49.6493479Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6494087Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6494636Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_float32 PASSED [0.0956s] [ 88%] 2023-07-07T20:06:49.6495179Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6495784Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 88%] 2023-07-07T20:06:49.6496332Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int16 PASSED [0.0924s] [ 88%] 2023-07-07T20:06:49.6496916Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6497504Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6498050Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int32 PASSED [0.0925s] [ 89%] 2023-07-07T20:06:49.6498599Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6499205Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6499751Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int64 PASSED [0.0927s] [ 89%] 2023-07-07T20:06:49.6500286Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6500914Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6501461Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_int8 PASSED [0.0927s] [ 89%] 2023-07-07T20:06:49.6502036Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6502653Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 89%] 2023-07-07T20:06:49.6503198Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_unflatten_cpu_uint8 PASSED [0.0940s] [ 89%] 2023-07-07T20:06:49.6503683Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_bool PASSED [0.0131s] [ 89%] 2023-07-07T20:06:49.6504172Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_float16 PASSED [0.0141s] [ 89%] 2023-07-07T20:06:49.6504639Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_float32 PASSED [0.0139s] [ 89%] 2023-07-07T20:06:49.6505126Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_int16 PASSED [0.0123s] [ 89%] 2023-07-07T20:06:49.6505607Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_int32 PASSED [0.0125s] [ 89%] 2023-07-07T20:06:49.6506083Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_int64 PASSED [0.0126s] [ 89%] 2023-07-07T20:06:49.6506545Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_int8 PASSED [0.0127s] [ 89%] 2023-07-07T20:06:49.6507027Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset17CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0125s] [ 90%] 2023-07-07T20:06:49.6507571Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_bool SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6508113Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_float32 PASSED [0.0866s] [ 90%] 2023-07-07T20:06:49.6508694Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6509283Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6509883Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6510489Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6511096Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan2_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6511701Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_bool SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6512227Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_float16 PASSED [0.0099s] [ 90%] 2023-07-07T20:06:49.6512750Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_float32 PASSED [0.0090s] [ 90%] 2023-07-07T20:06:49.6513296Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int16 SKIPPED [0.0002s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 90%] 2023-07-07T20:06:49.6513923Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int32 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 91%] 2023-07-07T20:06:49.6514543Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int64 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 91%] 2023-07-07T20:06:49.6515204Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_int8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 91%] 2023-07-07T20:06:49.6515811Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_atan_cpu_uint8 SKIPPED [0.0001s] (Skip: Atan on certain dtypes not supported by the ONNX Spec) [ 91%] 2023-07-07T20:06:49.6516362Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_bool PASSED [0.0766s] [ 91%] 2023-07-07T20:06:49.6516864Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_float16 PASSED [0.0804s] [ 91%] 2023-07-07T20:06:49.6517354Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_float32 PASSED [0.0781s] [ 91%] 2023-07-07T20:06:49.6517851Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int16 PASSED [0.0757s] [ 91%] 2023-07-07T20:06:49.6518341Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int32 PASSED [0.0748s] [ 91%] 2023-07-07T20:06:49.6518836Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int64 PASSED [0.0764s] [ 91%] 2023-07-07T20:06:49.6519311Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_int8 PASSED [0.0751s] [ 91%] 2023-07-07T20:06:49.6519804Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_broadcast_to_cpu_uint8 PASSED [0.0758s] [ 92%] 2023-07-07T20:06:49.6520330Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_float16 PASSED [0.0084s] [ 92%] 2023-07-07T20:06:49.6520805Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_float32 PASSED [0.0079s] [ 92%] 2023-07-07T20:06:49.6521266Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int16 XFAIL [0.0051s] [ 92%] 2023-07-07T20:06:49.6521736Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int32 XFAIL [0.0051s] [ 92%] 2023-07-07T20:06:49.6522204Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int64 XFAIL [0.0048s] [ 92%] 2023-07-07T20:06:49.6522674Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_int8 XFAIL [0.0051s] [ 92%] 2023-07-07T20:06:49.6523134Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_ceil_cpu_uint8 XFAIL [0.0047s] [ 92%] 2023-07-07T20:06:49.6523606Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_bool PASSED [0.1045s] [ 92%] 2023-07-07T20:06:49.6524091Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_float16 PASSED [0.1078s] [ 92%] 2023-07-07T20:06:49.6524674Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_float32 PASSED [0.1055s] [ 92%] 2023-07-07T20:06:49.6525191Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int16 PASSED [0.1021s] [ 93%] 2023-07-07T20:06:49.6525673Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int32 PASSED [0.1035s] [ 93%] 2023-07-07T20:06:49.6526186Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int64 PASSED [0.1045s] [ 93%] 2023-07-07T20:06:49.6526700Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_int8 PASSED [0.1055s] [ 93%] 2023-07-07T20:06:49.6527168Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_expand_cpu_uint8 PASSED [0.1066s] [ 93%] 2023-07-07T20:06:49.6527649Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_bool PASSED [0.0375s] [ 93%] 2023-07-07T20:06:49.6528135Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_float16 PASSED [0.0379s] [ 93%] 2023-07-07T20:06:49.6528614Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_float32 PASSED [0.0378s] [ 93%] 2023-07-07T20:06:49.6529080Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int16 PASSED [0.0353s] [ 93%] 2023-07-07T20:06:49.6529562Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int32 PASSED [0.0353s] [ 93%] 2023-07-07T20:06:49.6530038Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int64 PASSED [0.0375s] [ 93%] 2023-07-07T20:06:49.6530513Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_int8 PASSED [0.0349s] [ 94%] 2023-07-07T20:06:49.6530983Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_flatten_cpu_uint8 PASSED [0.0351s] [ 94%] 2023-07-07T20:06:49.6531463Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_bool PASSED [0.0196s] [ 94%] 2023-07-07T20:06:49.6531944Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_float16 PASSED [0.0214s] [ 94%] 2023-07-07T20:06:49.6532427Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_float32 PASSED [0.0207s] [ 94%] 2023-07-07T20:06:49.6532940Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int16 PASSED [0.0200s] [ 94%] 2023-07-07T20:06:49.6533416Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int32 PASSED [0.0203s] [ 94%] 2023-07-07T20:06:49.6533888Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int64 PASSED [0.0199s] [ 94%] 2023-07-07T20:06:49.6534364Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_int8 PASSED [0.0200s] [ 94%] 2023-07-07T20:06:49.6534830Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_hstack_cpu_uint8 PASSED [0.0205s] [ 94%] 2023-07-07T20:06:49.6535313Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_bool PASSED [0.0150s] [ 94%] 2023-07-07T20:06:49.6535813Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_float16 PASSED [0.0145s] [ 95%] 2023-07-07T20:06:49.6536311Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_float32 PASSED [0.0144s] [ 95%] 2023-07-07T20:06:49.6536793Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int16 PASSED [0.0139s] [ 95%] 2023-07-07T20:06:49.6537313Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int32 PASSED [0.0137s] [ 95%] 2023-07-07T20:06:49.6537809Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int64 PASSED [0.0138s] [ 95%] 2023-07-07T20:06:49.6538299Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_int8 PASSED [0.0140s] [ 95%] 2023-07-07T20:06:49.6538872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_logical_not_cpu_uint8 PASSED [0.0131s] [ 95%] 2023-07-07T20:06:49.6548877Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_nn_functional_scaled_dot_product_attention_cpu_float32 SKIPPED [0.0002s] (Skip: fixme: ORT crashes on Windows, segfaults randomly on Linux) [ 95%] 2023-07-07T20:06:49.6549613Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_bool SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 95%] 2023-07-07T20:06:49.6550151Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_bool PASSED [0.3145s] [ 95%] 2023-07-07T20:06:49.6550699Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_float16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 95%] 2023-07-07T20:06:49.6551239Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_float16 PASSED [0.3788s] [ 95%] 2023-07-07T20:06:49.6551787Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_float32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 95%] 2023-07-07T20:06:49.6552327Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_float32 PASSED [0.3143s] [ 95%] 2023-07-07T20:06:49.6552869Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int16 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 95%] 2023-07-07T20:06:49.6553398Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int16 PASSED [0.3033s] [ 95%] 2023-07-07T20:06:49.6553921Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int32 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 96%] 2023-07-07T20:06:49.6554544Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int32 PASSED [0.3002s] [ 96%] 2023-07-07T20:06:49.6555167Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int64 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 96%] 2023-07-07T20:06:49.6555696Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int64 PASSED [0.3022s] [ 96%] 2023-07-07T20:06:49.6556214Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 96%] 2023-07-07T20:06:49.6556740Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_int8 PASSED [0.3086s] [ 96%] 2023-07-07T20:06:49.6557277Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_uint8 SUBSKIP [0.0000s] (Empty repeats value leads to an invalid graph) [ 96%] 2023-07-07T20:06:49.6557806Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_repeat_cpu_uint8 PASSED [0.3424s] [ 96%] 2023-07-07T20:06:49.6558337Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_bool SKIPPED [0.0002s] (Skip: Sqrt on certain dtypes not supported by the ONNX Spec) [ 96%] 2023-07-07T20:06:49.6558917Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_float16 PASSED [0.0084s] [ 96%] 2023-07-07T20:06:49.6559394Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_float32 PASSED [0.0078s] [ 96%] 2023-07-07T20:06:49.6559865Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int16 PASSED [0.0074s] [ 96%] 2023-07-07T20:06:49.6560388Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int32 PASSED [0.0072s] [ 96%] 2023-07-07T20:06:49.6560865Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int64 PASSED [0.0071s] [ 96%] 2023-07-07T20:06:49.6561336Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_int8 PASSED [0.0074s] [ 96%] 2023-07-07T20:06:49.6561809Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_sqrt_cpu_uint8 PASSED [0.0070s] [ 97%] 2023-07-07T20:06:49.6562275Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_stft_cpu_float32 XFAIL [0.0018s] [ 97%] 2023-07-07T20:06:49.6562744Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_bool PASSED [0.0110s] [ 97%] 2023-07-07T20:06:49.6563216Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_float16 PASSED [0.0108s] [ 97%] 2023-07-07T20:06:49.6563695Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_float32 PASSED [0.0111s] [ 97%] 2023-07-07T20:06:49.6564151Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int16 PASSED [0.0103s] [ 97%] 2023-07-07T20:06:49.6564753Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int32 PASSED [0.0101s] [ 97%] 2023-07-07T20:06:49.6565219Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int64 PASSED [0.0103s] [ 97%] 2023-07-07T20:06:49.6565684Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_int8 PASSED [0.0105s] [ 97%] 2023-07-07T20:06:49.6566134Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_t_cpu_uint8 PASSED [0.0104s] [ 97%] 2023-07-07T20:06:49.6566677Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6567333Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6567935Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6568523Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6569106Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6569702Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6570283Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6570911Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6571503Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6572119Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6572747Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6573335Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6573917Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6574490Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6575077Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6575663Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6576247Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6576832Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6577401Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6577990Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6578613Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6579195Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6579783Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6580358Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6580939Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6581523Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6582136Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6582721Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6583298Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6583941Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6584522Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6585104Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6585676Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6586260Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6586845Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6587430Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 97%] 2023-07-07T20:06:49.6587958Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_bool PASSED [0.3205s] [ 97%] 2023-07-07T20:06:49.6588486Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6589085Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6589716Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6590307Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6590894Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6591468Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6592068Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6592656Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6593247Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6593870Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6594441Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6595190Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6595781Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6596365Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6596937Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6597520Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6598118Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6598704Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6599287Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6599858Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6600441Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6601065Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6601653Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6602233Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6602805Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6603385Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6603986Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6604685Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6605313Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6605888Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6606557Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6607150Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6607736Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6608317Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6608887Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6609182Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6609417Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float16 PASSED [0.3310s] [ 98%] 2023-07-07T20:06:49.6609707Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6609994Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6610284Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6610606Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6610892Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6611181Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6611466Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6611756Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6612045Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6612318Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6612638Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6612922Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6613264Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6613556Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6613847Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6614131Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6614421Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6614708Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6614990Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6615280Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6615567Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6615853Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6616176Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6616448Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6616735Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6617023Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6617312Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6617599Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6617884Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6618203Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6618490Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6618844Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6619135Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6619421Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6619708Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6619993Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6620231Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_float32 PASSED [0.3542s] [ 98%] 2023-07-07T20:06:49.6620511Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6620802Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6621091Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6621379Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6621700Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6621985Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6622270Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6622557Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6622843Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6623128Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6623413Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6623728Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6624009Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6624358Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6624634Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6624912Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6625197Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6625481Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6625765Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6626049Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6626334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6626615Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6626900Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6627212Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6627491Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6627776Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6628059Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6628339Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6628617Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6628896Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6629207Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6629490Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6629826Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6630108Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6630389Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6630672Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6630903Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int16 PASSED [0.3227s] [ 98%] 2023-07-07T20:06:49.6631190Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6631474Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6631754Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6632040Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6632324Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6632596Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6632916Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6633199Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6633478Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6633762Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6634052Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6634334Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6634644Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6634991Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6635325Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6635642Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6635928Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6636211Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6636493Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6636770Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6637049Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6637332Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6637617Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6637901Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6638187Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6638506Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6638788Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6639070Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6639352Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6639636Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6639920Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6640246Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6640525Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6640824Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6641139Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6641420Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6641656Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int32 PASSED [0.3609s] [ 98%] 2023-07-07T20:06:49.6641936Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6642218Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6642503Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6642785Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6643067Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6643351Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6643636Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6643949Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6644234Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6644650Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6644918Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6645209Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6645494Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6645819Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6646101Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6646380Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6646733Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6647020Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6647305Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6647585Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6647868Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6648156Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6648433Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6648717Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6648988Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6649276Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6649595Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6649876Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6650158Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6650441Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6650728Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6651008Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6651288Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6651635Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6651921Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6652261Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6652495Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int64 PASSED [0.3636s] [ 98%] 2023-07-07T20:06:49.6652786Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6653065Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6653358Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6653647Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6653940Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6654233Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6654516Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6654803Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6655125Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6655405Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6655696Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6655981Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6656265Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6656554Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6656839Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6657138Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6657426Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6657734Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6658050Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6658333Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6658619Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6658899Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6659189Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6659474Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6659755Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6660038Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6660323Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6660636Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6660921Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6661193Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6661473Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6661761Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6662048Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6662329Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6662641Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6662927Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6663186Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_int8 PASSED [0.3657s] [ 98%] 2023-07-07T20:06:49.6663503Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6663791Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6664075Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6664362Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6664653Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6664929Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6665214Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6665501Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6665782Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6666070Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6666387Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6666670Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6666956Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6667239Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6667521Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6667810Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6668122Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6668406Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6668689Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6669019Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6669300Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6669589Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6669872Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6670153Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6670441Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6670721Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6671001Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6671286Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6671572Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6671886Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6672168Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6672450Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6672730Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6673016Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6673288Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6673598Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6673831Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_tile_cpu_uint8 PASSED [0.3635s] [ 98%] 2023-07-07T20:06:49.6674128Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6674476Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_bool SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6674718Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_bool PASSED [0.1066s] [ 98%] 2023-07-07T20:06:49.6675110Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6675415Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6675656Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float16 PASSED [0.1088s] [ 98%] 2023-07-07T20:06:49.6675955Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6676254Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6676496Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_float32 PASSED [0.1084s] [ 98%] 2023-07-07T20:06:49.6676786Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6677083Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 98%] 2023-07-07T20:06:49.6677326Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int16 PASSED [0.1071s] [ 98%] 2023-07-07T20:06:49.6677666Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6677966Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6678203Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int32 PASSED [0.1082s] [ 99%] 2023-07-07T20:06:49.6678498Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6678793Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6679035Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int64 PASSED [0.1076s] [ 99%] 2023-07-07T20:06:49.6679333Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6679660Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6679900Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_int8 PASSED [0.1059s] [ 99%] 2023-07-07T20:06:49.6680223Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6680535Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8 SUBSKIP [0.0000s] (Logic not implemented for size 0 inputs in op.Reshape) [ 99%] 2023-07-07T20:06:49.6680770Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_unflatten_cpu_uint8 PASSED [0.1067s] [ 99%] 2023-07-07T20:06:49.6681003Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_bool PASSED [0.0147s] [ 99%] 2023-07-07T20:06:49.6681241Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float16 PASSED [0.0157s] [ 99%] 2023-07-07T20:06:49.6681474Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_float32 PASSED [0.0161s] [ 99%] 2023-07-07T20:06:49.6681710Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int16 PASSED [0.0147s] [ 99%] 2023-07-07T20:06:49.6681939Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int32 PASSED [0.0146s] [ 99%] 2023-07-07T20:06:49.6682169Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int64 PASSED [0.0142s] [ 99%] 2023-07-07T20:06:49.6682398Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_int8 PASSED [0.0139s] [ 99%] 2023-07-07T20:06:49.6683410Z onnx/test_op_consistency.py::TestOnnxModelOutputConsistency_opset18CPU::test_output_match_vstack_cpu_uint8 PASSED [0.0137s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:06:49.6683544Z _C._set_default_tensor_type(t) 2023-07-07T20:06:49.6683556Z 2023-07-07T20:06:49.6683561Z 2023-07-07T20:06:49.6683945Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_op_consistency/onnx.test_op_consistency-72317d4993dec473.xml - 2023-07-07T20:06:49.6684082Z =========== 824 passed, 2116 skipped, 84 xfailed in 70.23s (0:01:10) =========== 2023-07-07T20:06:49.6684088Z 2023-07-07T20:06:49.6684560Z ##[endgroup] 2023-07-07T20:06:49.6684918Z FINISHED PRINTING LOG FILE of onnx/test_op_consistency 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_op_consistency_jdcbdakb.log) 2023-07-07T20:06:49.6684925Z 2023-07-07T20:06:50.8479013Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:50.8487290Z Ignoring disabled issues: [''] 2023-07-07T20:06:51.8955992Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:51.8965267Z Ignoring disabled issues: [''] 2023-07-07T20:06:52.1201083Z Running onnx/internal/test_diagnostics 1/1 ... [2023-07-07 20:06:52.119728] 2023-07-07T20:06:52.1203021Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/internal/test_diagnostics.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/internal/test_diagnostics_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:52.120064] 2023-07-07T20:06:53.1660593Z Running onnx/test_pytorch_jit_onnx 1/1 ... [2023-07-07 20:06:53.165654] 2023-07-07T20:06:53.1662249Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_pytorch_jit_onnx.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_pytorch_jit_onnx_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:53.165923] 2023-07-07T20:06:54.6954346Z 2023-07-07T20:06:54.6955218Z Expand the folded group to see the log file of onnx/internal/test_diagnostics 1/1 2023-07-07T20:06:54.6956770Z ##[group]PRINTING LOG FILE of onnx/internal/test_diagnostics 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-internal-test_diagnostics_h0j6ur97.log) 2023-07-07T20:06:54.6957883Z Test results will be stored in test-reports/python-pytest/onnx.internal.test_diagnostics/onnx.internal.test_diagnostics-8699e90cba87877d.xml 2023-07-07T20:06:54.6958302Z ============================= test session starts ============================== 2023-07-07T20:06:54.6958706Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:54.6958985Z cachedir: .pytest_cache 2023-07-07T20:06:54.6959408Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:54.6959746Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:54.6959960Z configfile: pytest.ini 2023-07-07T20:06:54.6960433Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:54.6960768Z collecting ... collected 9 items 2023-07-07T20:06:54.6962196Z Running 9 items in this shard: test/onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_assert_diagnostic_raises_when_diagnostic_not_found, test/onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_cpp_diagnose_emits_warning, test/onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_diagnostics_engine_records_diagnosis_reported_outside_of_export, test/onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_diagnostics_records_cpp_call_stack, test/onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_diagnostics_records_python_call_stack, test/onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_py_diagnose_emits_error, test/onnx/internal/test_diagnostics.py::TestDiagnosticsInfra::test_diagnostic_context_logs_with_correct_logger_level_based_on_diagnostic_level, test/onnx/internal/test_diagnostics.py::TestDiagnosticsInfra::test_diagnostic_context_raises_if_diagnostic_is_error, test/onnx/internal/test_diagnostics.py::TestDiagnosticsInfra::test_diagnostics_engine_records_diagnosis_with_custom_rules 2023-07-07T20:06:54.6963774Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:54.6963933Z 2023-07-07T20:06:54.6964163Z onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_assert_diagnostic_raises_when_diagnostic_not_found PASSED [0.2446s] [ 11%] 2023-07-07T20:06:54.6965382Z onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_cpp_diagnose_emits_warning [W shape_type_inference.cpp:1960] Warning: The shape inference of custom::CustomAdd type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:54.6966263Z PASSED [0.0362s] [ 22%] 2023-07-07T20:06:54.6966668Z onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_diagnostics_engine_records_diagnosis_reported_outside_of_export PASSED [0.0009s] [ 33%] 2023-07-07T20:06:54.6967387Z onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_diagnostics_records_cpp_call_stack [W shape_type_inference.cpp:1960] Warning: The shape inference of custom::CustomAdd type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:06:54.6967923Z PASSED [0.0047s] [ 44%] 2023-07-07T20:06:54.6968321Z onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_diagnostics_records_python_call_stack PASSED [0.0008s] [ 55%] 2023-07-07T20:06:54.6968756Z onnx/internal/test_diagnostics.py::TestOnnxDiagnostics::test_py_diagnose_emits_error PASSED [0.0033s] [ 66%] 2023-07-07T20:06:54.6969227Z onnx/internal/test_diagnostics.py::TestDiagnosticsInfra::test_diagnostic_context_logs_with_correct_logger_level_based_on_diagnostic_level PASSED [0.0014s] [ 77%] 2023-07-07T20:06:54.6969801Z onnx/internal/test_diagnostics.py::TestDiagnosticsInfra::test_diagnostic_context_raises_if_diagnostic_is_error PASSED [0.0007s] [ 88%] 2023-07-07T20:06:54.6970287Z onnx/internal/test_diagnostics.py::TestDiagnosticsInfra::test_diagnostics_engine_records_diagnosis_with_custom_rules PASSED [0.0013s] [100%] 2023-07-07T20:06:54.6970545Z 2023-07-07T20:06:54.6970990Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.internal.test_diagnostics/onnx.internal.test_diagnostics-8699e90cba87877d.xml - 2023-07-07T20:06:54.6971406Z ============================== 9 passed in 0.38s =============================== 2023-07-07T20:06:54.6971550Z 2023-07-07T20:06:54.6971802Z ##[endgroup] 2023-07-07T20:06:54.6972285Z FINISHED PRINTING LOG FILE of onnx/internal/test_diagnostics 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-internal-test_diagnostics_h0j6ur97.log) 2023-07-07T20:06:54.6972558Z 2023-07-07T20:06:55.8415273Z 2023-07-07T20:06:55.8415857Z Expand the folded group to see the log file of onnx/test_pytorch_jit_onnx 1/1 2023-07-07T20:06:55.8417207Z ##[group]PRINTING LOG FILE of onnx/test_pytorch_jit_onnx 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_jit_onnx_xpbnz5p3.log) 2023-07-07T20:06:55.8418470Z Test results will be stored in test-reports/python-pytest/onnx.test_pytorch_jit_onnx/onnx.test_pytorch_jit_onnx-4ed97089a8f6d661.xml 2023-07-07T20:06:55.8419120Z ============================= test session starts ============================== 2023-07-07T20:06:55.8419836Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:06:55.8420335Z cachedir: .pytest_cache 2023-07-07T20:06:55.8421147Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:06:55.8421752Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:06:55.8422111Z configfile: pytest.ini 2023-07-07T20:06:55.8422882Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:06:55.8423804Z collecting ... collected 7 items 2023-07-07T20:06:55.8425378Z Running 7 items in this shard: test/onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_add_sub_with_graph_inputs, test/onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_convolution, test/onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_example_ir, test/onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_log_softmax, test/onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_log_softmax_half_to_float, test/onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_native_dropout, test/onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_native_layer_norm 2023-07-07T20:06:55.8426641Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:06:55.8426888Z 2023-07-07T20:06:55.8427194Z onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_add_sub_with_graph_inputs PASSED [0.2723s] [ 14%] 2023-07-07T20:06:55.8427792Z onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_convolution PASSED [0.0054s] [ 28%] 2023-07-07T20:06:55.8428334Z onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_example_ir PASSED [0.0027s] [ 42%] 2023-07-07T20:06:55.8428917Z onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_log_softmax PASSED [0.0030s] [ 57%] 2023-07-07T20:06:55.8429571Z onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_log_softmax_half_to_float SKIPPED [0.0008s] (CUDA is not available) [ 71%] 2023-07-07T20:06:55.8430358Z onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_native_dropout PASSED [0.0065s] [ 85%] 2023-07-07T20:06:55.8432203Z onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_native_layer_norm PASSED [0.0070s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:06:55.8433340Z _C._set_default_tensor_type(t) 2023-07-07T20:06:55.8433571Z 2023-07-07T20:06:55.8433580Z 2023-07-07T20:06:55.8434281Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_pytorch_jit_onnx/onnx.test_pytorch_jit_onnx-4ed97089a8f6d661.xml - 2023-07-07T20:06:55.8435099Z ========================= 6 passed, 1 skipped in 0.37s ========================= 2023-07-07T20:06:55.8435388Z 2023-07-07T20:06:55.8435805Z ##[endgroup] 2023-07-07T20:06:55.8436597Z FINISHED PRINTING LOG FILE of onnx/test_pytorch_jit_onnx 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_pytorch_jit_onnx_xpbnz5p3.log) 2023-07-07T20:06:55.8437027Z 2023-07-07T20:06:57.1578633Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:57.1587157Z Ignoring disabled issues: [''] 2023-07-07T20:06:58.2355239Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:06:58.2363216Z Ignoring disabled issues: [''] 2023-07-07T20:06:58.4247306Z Running onnx/internal/test_registraion 1/1 ... [2023-07-07 20:06:58.424316] 2023-07-07T20:06:58.4248850Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/internal/test_registraion.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/internal/test_registraion_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:58.424594] 2023-07-07T20:06:59.5018878Z Running onnx/internal/test_beartype 1/1 ... [2023-07-07 20:06:59.501489] 2023-07-07T20:06:59.5020439Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/internal/test_beartype.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/internal/test_beartype_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:06:59.501762] 2023-07-07T20:07:01.0007550Z 2023-07-07T20:07:01.0008423Z Expand the folded group to see the log file of onnx/internal/test_registraion 1/1 2023-07-07T20:07:01.0009711Z ##[group]PRINTING LOG FILE of onnx/internal/test_registraion 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-internal-test_registraion_wfofceqp.log) 2023-07-07T20:07:01.0011033Z Test results will be stored in test-reports/python-pytest/onnx.internal.test_registraion/onnx.internal.test_registraion-2de6152bd7e74fdb.xml 2023-07-07T20:07:01.0011666Z ============================= test session starts ============================== 2023-07-07T20:07:01.0012069Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:01.0012352Z cachedir: .pytest_cache 2023-07-07T20:07:01.0012791Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:01.0013122Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:01.0013347Z configfile: pytest.ini 2023-07-07T20:07:01.0013871Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:01.0014222Z collecting ... collected 40 items 2023-07-07T20:07:01.0021260Z Running 40 items in this shard: test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_10_expected_10, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_11_expected_11, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_16_expected_11, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_7_expected_7, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_8_expected_8, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_9_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_10_expected_10, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_16_expected_16, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_7_expected_7, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_8_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_9_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_10_expected_10, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_15_expected_10, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_16_expected_16, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_7_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_8_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_9_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[17]_target_16_expected_None, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[1]_target_16_expected_1, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_8_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_9_expected_9, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_16_expected_None, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_8_expected_None, test/onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_9_expected_None, test/onnx/internal/test_registraion.py::TestOverrideDict::test_bool_is_true_when_not_empty, test/onnx/internal/test_registraion.py::TestOverrideDict::test_get_item_raises_key_error_when_not_found, test/onnx/internal/test_registraion.py::TestOverrideDict::test_get_item_returns_base_value_when_no_override, test/onnx/internal/test_registraion.py::TestOverrideDict::test_get_item_returns_overridden_value_when_override, test/onnx/internal/test_registraion.py::TestOverrideDict::test_get_returns_none_when_not_found, test/onnx/internal/test_registraion.py::TestOverrideDict::test_get_returns_overridden_value_when_override, test/onnx/internal/test_registraion.py::TestOverrideDict::test_in_base_returns_true_for_base_value, test/onnx/internal/test_registraion.py::TestOverrideDict::test_overridden_returns_true_for_overridden_value, test/onnx/internal/test_registraion.py::TestOverrideDict::test_overriden_key_precededs_base_key_regardless_of_insert_order, test/onnx/internal/test_registraion.py::TestOverrideDict::test_remove_override_removes_overridden_key, test/onnx/internal/test_registraion.py::TestOverrideDict::test_remove_override_removes_overridden_value, test/onnx/internal/test_registraion.py::TestRegistrationDecorators::test_custom_onnx_symbolic_overrides_existing_function, test/onnx/internal/test_registraion.py::TestRegistrationDecorators::test_custom_onnx_symbolic_registers_custom_function, test/onnx/internal/test_registraion.py::TestRegistrationDecorators::test_onnx_symbolic_raises_warning_when_overriding_function, test/onnx/internal/test_registraion.py::TestRegistrationDecorators::test_onnx_symbolic_registers_function, test/onnx/internal/test_registraion.py::TestRegistrationDecorators::test_onnx_symbolic_registers_function_applied_decorator_when_provided 2023-07-07T20:07:01.0027937Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:01.0028098Z 2023-07-07T20:07:01.0028380Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_10_expected_10 PASSED [0.2425s] [ 2%] 2023-07-07T20:07:01.0028938Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_11_expected_11 PASSED [0.0007s] [ 5%] 2023-07-07T20:07:01.0029479Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_16_expected_11 PASSED [0.0008s] [ 7%] 2023-07-07T20:07:01.0030024Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_7_expected_7 PASSED [0.0006s] [ 10%] 2023-07-07T20:07:01.0030551Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_8_expected_8 PASSED [0.0006s] [ 12%] 2023-07-07T20:07:01.0031127Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_9_expected_9 PASSED [0.0006s] [ 15%] 2023-07-07T20:07:01.0031668Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_10_expected_10 PASSED [0.0006s] [ 17%] 2023-07-07T20:07:01.0032205Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_16_expected_16 PASSED [0.0006s] [ 20%] 2023-07-07T20:07:01.0032741Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_7_expected_7 PASSED [0.0006s] [ 22%] 2023-07-07T20:07:01.0033270Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_8_expected_9 PASSED [0.0006s] [ 25%] 2023-07-07T20:07:01.0033803Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_9_expected_9 PASSED [0.0006s] [ 27%] 2023-07-07T20:07:01.0034332Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_10_expected_10 PASSED [0.0006s] [ 30%] 2023-07-07T20:07:01.0034977Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_15_expected_10 PASSED [0.0006s] [ 32%] 2023-07-07T20:07:01.0035507Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_16_expected_16 PASSED [0.0006s] [ 35%] 2023-07-07T20:07:01.0036071Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_7_expected_9 PASSED [0.0006s] [ 37%] 2023-07-07T20:07:01.0036630Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_8_expected_9 PASSED [0.0006s] [ 40%] 2023-07-07T20:07:01.0037167Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_9_expected_9 PASSED [0.0006s] [ 42%] 2023-07-07T20:07:01.0037696Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[17]_target_16_expected_None PASSED [0.0007s] [ 45%] 2023-07-07T20:07:01.0038215Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[1]_target_16_expected_1 PASSED [0.0006s] [ 47%] 2023-07-07T20:07:01.0038743Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_8_expected_9 PASSED [0.0007s] [ 50%] 2023-07-07T20:07:01.0039273Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_9_expected_9 PASSED [0.0006s] [ 52%] 2023-07-07T20:07:01.0039798Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_16_expected_None PASSED [0.0006s] [ 55%] 2023-07-07T20:07:01.0040333Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_8_expected_None PASSED [0.0006s] [ 57%] 2023-07-07T20:07:01.0040851Z onnx/internal/test_registraion.py::TestGlobalHelpers::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_9_expected_None PASSED [0.0006s] [ 60%] 2023-07-07T20:07:01.0041309Z onnx/internal/test_registraion.py::TestOverrideDict::test_bool_is_true_when_not_empty PASSED [0.0001s] [ 62%] 2023-07-07T20:07:01.0041724Z onnx/internal/test_registraion.py::TestOverrideDict::test_get_item_raises_key_error_when_not_found PASSED [0.0002s] [ 65%] 2023-07-07T20:07:01.0042184Z onnx/internal/test_registraion.py::TestOverrideDict::test_get_item_returns_base_value_when_no_override PASSED [0.0002s] [ 67%] 2023-07-07T20:07:01.0042613Z onnx/internal/test_registraion.py::TestOverrideDict::test_get_item_returns_overridden_value_when_override PASSED [0.0003s] [ 70%] 2023-07-07T20:07:01.0043034Z onnx/internal/test_registraion.py::TestOverrideDict::test_get_returns_none_when_not_found PASSED [0.0001s] [ 72%] 2023-07-07T20:07:01.0043454Z onnx/internal/test_registraion.py::TestOverrideDict::test_get_returns_overridden_value_when_override PASSED [0.0003s] [ 75%] 2023-07-07T20:07:01.0043883Z onnx/internal/test_registraion.py::TestOverrideDict::test_in_base_returns_true_for_base_value PASSED [0.0001s] [ 77%] 2023-07-07T20:07:01.0044297Z onnx/internal/test_registraion.py::TestOverrideDict::test_overridden_returns_true_for_overridden_value PASSED [0.0001s] [ 80%] 2023-07-07T20:07:01.0044973Z onnx/internal/test_registraion.py::TestOverrideDict::test_overriden_key_precededs_base_key_regardless_of_insert_order PASSED [0.0002s] [ 82%] 2023-07-07T20:07:01.0045424Z onnx/internal/test_registraion.py::TestOverrideDict::test_remove_override_removes_overridden_key PASSED [0.0003s] [ 85%] 2023-07-07T20:07:01.0045859Z onnx/internal/test_registraion.py::TestOverrideDict::test_remove_override_removes_overridden_value PASSED [0.0003s] [ 87%] 2023-07-07T20:07:01.0046380Z onnx/internal/test_registraion.py::TestRegistrationDecorators::test_custom_onnx_symbolic_overrides_existing_function PASSED [0.0008s] [ 90%] 2023-07-07T20:07:01.0046873Z onnx/internal/test_registraion.py::TestRegistrationDecorators::test_custom_onnx_symbolic_registers_custom_function PASSED [0.0007s] [ 92%] 2023-07-07T20:07:01.0047368Z onnx/internal/test_registraion.py::TestRegistrationDecorators::test_onnx_symbolic_raises_warning_when_overriding_function PASSED [0.0040s] [ 95%] 2023-07-07T20:07:01.0047939Z onnx/internal/test_registraion.py::TestRegistrationDecorators::test_onnx_symbolic_registers_function PASSED [0.0006s] [ 97%] 2023-07-07T20:07:01.0048429Z onnx/internal/test_registraion.py::TestRegistrationDecorators::test_onnx_symbolic_registers_function_applied_decorator_when_provided PASSED [0.0005s] [100%] 2023-07-07T20:07:01.0048715Z 2023-07-07T20:07:01.0049148Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.internal.test_registraion/onnx.internal.test_registraion-2de6152bd7e74fdb.xml - 2023-07-07T20:07:01.0049564Z ============================== 40 passed in 0.37s ============================== 2023-07-07T20:07:01.0049718Z 2023-07-07T20:07:01.0049972Z ##[endgroup] 2023-07-07T20:07:01.0050455Z FINISHED PRINTING LOG FILE of onnx/internal/test_registraion 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-internal-test_registraion_wfofceqp.log) 2023-07-07T20:07:01.0050735Z 2023-07-07T20:07:02.1278304Z 2023-07-07T20:07:02.1278893Z Expand the folded group to see the log file of onnx/internal/test_beartype 1/1 2023-07-07T20:07:02.1280257Z ##[group]PRINTING LOG FILE of onnx/internal/test_beartype 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-internal-test_beartype_r8_rvxfv.log) 2023-07-07T20:07:02.1281211Z Test results will be stored in test-reports/python-pytest/onnx.internal.test_beartype/onnx.internal.test_beartype-6d6738e66c5e4305.xml 2023-07-07T20:07:02.1281596Z ============================= test session starts ============================== 2023-07-07T20:07:02.1281985Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:02.1282265Z cachedir: .pytest_cache 2023-07-07T20:07:02.1282703Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:02.1283037Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:02.1283251Z configfile: pytest.ini 2023-07-07T20:07:02.1283725Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:02.1284264Z collecting ... collected 5 items 2023-07-07T20:07:02.1285303Z Running 5 items in this shard: test/onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_errors_when_errors_arg_1, test/onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_errors_when_errors_arg_string_input, test/onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_returns_no_op_decorator_when_disabled, test/onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_warning_calls_function_once, test/onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_warns_when_warnings 2023-07-07T20:07:02.1286145Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:02.1286303Z 2023-07-07T20:07:02.1286519Z onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_errors_when_errors_arg_1 PASSED [0.2464s] [ 20%] 2023-07-07T20:07:02.1286976Z onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_errors_when_errors_arg_string_input PASSED [0.0011s] [ 40%] 2023-07-07T20:07:02.1287431Z onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_returns_no_op_decorator_when_disabled PASSED [0.0006s] [ 60%] 2023-07-07T20:07:02.1287889Z onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_warning_calls_function_once PASSED [0.0016s] [ 80%] 2023-07-07T20:07:02.1288389Z onnx/internal/test_beartype.py::TestBeartype::test_create_beartype_decorator_warns_when_warnings PASSED [0.0042s] [100%] 2023-07-07T20:07:02.1288624Z 2023-07-07T20:07:02.1289024Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.internal.test_beartype/onnx.internal.test_beartype-6d6738e66c5e4305.xml - 2023-07-07T20:07:02.1289428Z ============================== 5 passed in 0.32s =============================== 2023-07-07T20:07:02.1289609Z 2023-07-07T20:07:02.1289919Z ##[endgroup] 2023-07-07T20:07:02.1290387Z FINISHED PRINTING LOG FILE of onnx/internal/test_beartype 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-internal-test_beartype_r8_rvxfv.log) 2023-07-07T20:07:02.1290654Z 2023-07-07T20:07:03.4161218Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:03.4170251Z Ignoring disabled issues: [''] 2023-07-07T20:07:04.5059417Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:04.5067776Z Ignoring disabled issues: [''] 2023-07-07T20:07:04.6727305Z Running onnx/test_fx_type_promotion 1/1 ... [2023-07-07 20:07:04.672340] 2023-07-07T20:07:04.6728387Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_fx_type_promotion.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_fx_type_promotion_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:04.672602] 2023-07-07T20:07:05.7585333Z Running onnx/test_symbolic_helper 1/1 ... [2023-07-07 20:07:05.758132] 2023-07-07T20:07:05.7587427Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_symbolic_helper.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_symbolic_helper_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:05.758399] 2023-07-07T20:07:07.6488946Z 2023-07-07T20:07:07.6489470Z Expand the folded group to see the log file of onnx/test_fx_type_promotion 1/1 2023-07-07T20:07:07.6490629Z ##[group]PRINTING LOG FILE of onnx/test_fx_type_promotion 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_type_promotion_cf0r_5sb.log) 2023-07-07T20:07:07.6491351Z Test results will be stored in test-reports/python-pytest/onnx.test_fx_type_promotion/onnx.test_fx_type_promotion-d58f706e2a7416eb.xml 2023-07-07T20:07:07.6491730Z ============================= test session starts ============================== 2023-07-07T20:07:07.6492358Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:07.6492639Z cachedir: .pytest_cache 2023-07-07T20:07:07.6493078Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:07.6493410Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:07.6493627Z configfile: pytest.ini 2023-07-07T20:07:07.6494099Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:07.6494441Z collecting ... collected 2 items 2023-07-07T20:07:07.6494965Z Running 2 items in this shard: test/onnx/test_fx_type_promotion.py::TestGeneratedTypePromotionRuleSet::test_generated_rule_set_is_up_to_date, test/onnx/test_fx_type_promotion.py::TestGeneratedTypePromotionRuleSet::test_initialize_type_promotion_table_succeeds 2023-07-07T20:07:07.6495506Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:07.6495664Z 2023-07-07T20:07:07.6496024Z onnx/test_fx_type_promotion.py::TestGeneratedTypePromotionRuleSet::test_generated_rule_set_is_up_to_date SKIPPED [0.2520s] (Skip test in CI. Reduce noise in CI. The test serves as a tool to validate if the generated rule set is current.) [ 50%] 2023-07-07T20:07:07.6497354Z onnx/test_fx_type_promotion.py::TestGeneratedTypePromotionRuleSet::test_initialize_type_promotion_table_succeeds PASSED [0.0012s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:07:07.6498042Z _C._set_default_tensor_type(t) 2023-07-07T20:07:07.6498171Z 2023-07-07T20:07:07.6498223Z 2023-07-07T20:07:07.6498650Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_fx_type_promotion/onnx.test_fx_type_promotion-d58f706e2a7416eb.xml - 2023-07-07T20:07:07.6499061Z ========================= 1 passed, 1 skipped in 0.32s ========================= 2023-07-07T20:07:07.6499209Z 2023-07-07T20:07:07.6499447Z ##[endgroup] 2023-07-07T20:07:07.6499887Z FINISHED PRINTING LOG FILE of onnx/test_fx_type_promotion 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_fx_type_promotion_cf0r_5sb.log) 2023-07-07T20:07:07.6500143Z 2023-07-07T20:07:08.2835175Z 2023-07-07T20:07:08.2835652Z Expand the folded group to see the log file of onnx/test_symbolic_helper 1/1 2023-07-07T20:07:08.2836789Z ##[group]PRINTING LOG FILE of onnx/test_symbolic_helper 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_symbolic_helper_2soiiuv8.log) 2023-07-07T20:07:08.2838069Z Test results will be stored in test-reports/python-pytest/onnx.test_symbolic_helper/onnx.test_symbolic_helper-fefafa306fd45441.xml 2023-07-07T20:07:08.2838801Z ============================= test session starts ============================== 2023-07-07T20:07:08.2839326Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:08.2839595Z cachedir: .pytest_cache 2023-07-07T20:07:08.2840030Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:08.2840373Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:08.2840585Z configfile: pytest.ini 2023-07-07T20:07:08.2841045Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:08.2841396Z collecting ... collected 5 items 2023-07-07T20:07:08.2842420Z Running 5 items in this shard: test/onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_does_not_warn_when_export_mode_is_preserve, test/onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_does_not_warn_when_modes_match_op_train_mode_0_export_mode_eval, test/onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_does_not_warn_when_modes_match_op_train_mode_1_export_mode_training, test/onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_warns_when_modes_do_not_match_op_train_mode_0_export_mode_training, test/onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_warns_when_modes_do_not_match_op_train_mode_1_export_mode_eval 2023-07-07T20:07:08.2843616Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:08.2843772Z 2023-07-07T20:07:08.2844007Z onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_does_not_warn_when_export_mode_is_preserve PASSED [0.2427s] [ 20%] 2023-07-07T20:07:08.2844702Z onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_does_not_warn_when_modes_match_op_train_mode_0_export_mode_eval PASSED [0.0007s] [ 40%] 2023-07-07T20:07:08.2845234Z onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_does_not_warn_when_modes_match_op_train_mode_1_export_mode_training PASSED [0.0006s] [ 60%] 2023-07-07T20:07:08.2845761Z onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_warns_when_modes_do_not_match_op_train_mode_0_export_mode_training PASSED [0.0040s] [ 80%] 2023-07-07T20:07:08.2846272Z onnx/test_symbolic_helper.py::TestHelperFunctions::test_check_training_mode_warns_when_modes_do_not_match_op_train_mode_1_export_mode_eval PASSED [0.0033s] [100%] 2023-07-07T20:07:08.2846602Z 2023-07-07T20:07:08.2846992Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_symbolic_helper/onnx.test_symbolic_helper-fefafa306fd45441.xml - 2023-07-07T20:07:08.2847386Z ============================== 5 passed in 0.32s =============================== 2023-07-07T20:07:08.2847528Z 2023-07-07T20:07:08.2847785Z ##[endgroup] 2023-07-07T20:07:08.2848348Z FINISHED PRINTING LOG FILE of onnx/test_symbolic_helper 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_symbolic_helper_2soiiuv8.log) 2023-07-07T20:07:08.2848610Z 2023-07-07T20:07:10.0424328Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:10.0433786Z Ignoring disabled issues: [''] 2023-07-07T20:07:10.6566164Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:10.6574112Z Ignoring disabled issues: [''] 2023-07-07T20:07:11.2969548Z Running onnx/test_autograd_funs 1/1 ... [2023-07-07 20:07:11.296606] 2023-07-07T20:07:11.2970881Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_autograd_funs.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_autograd_funs_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:11.296847] 2023-07-07T20:07:11.9074352Z Running onnx/test_onnxscript_runtime 1/1 ... [2023-07-07 20:07:11.907031] 2023-07-07T20:07:11.9075760Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_onnxscript_runtime.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_onnxscript_runtime_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:11.907288] 2023-07-07T20:07:14.3731865Z 2023-07-07T20:07:14.3732435Z Expand the folded group to see the log file of onnx/test_autograd_funs 1/1 2023-07-07T20:07:14.3733611Z ##[group]PRINTING LOG FILE of onnx/test_autograd_funs 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_autograd_funs_5np4rogp.log) 2023-07-07T20:07:14.3734692Z Test results will be stored in test-reports/python-pytest/onnx.test_autograd_funs/onnx.test_autograd_funs-d9eff169a6400d86.xml 2023-07-07T20:07:14.3735247Z ============================= test session starts ============================== 2023-07-07T20:07:14.3735845Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:14.3736615Z cachedir: .pytest_cache 2023-07-07T20:07:14.3737320Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:14.3737822Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:14.3738176Z configfile: pytest.ini 2023-07-07T20:07:14.3739055Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:14.3739700Z collecting ... collected 7 items 2023-07-07T20:07:14.3741230Z Running 7 items in this shard: test/onnx/test_autograd_funs.py::TestAutogradFuns::test_aten_unsupported, test/onnx/test_autograd_funs.py::TestAutogradFuns::test_inline_and_symbolic, test/onnx/test_autograd_funs.py::TestAutogradFuns::test_inline_with_scoped_tracing, test/onnx/test_autograd_funs.py::TestAutogradFuns::test_multi_output, test/onnx/test_autograd_funs.py::TestAutogradFuns::test_nested_autograd, test/onnx/test_autograd_funs.py::TestAutogradFuns::test_partial_output, test/onnx/test_autograd_funs.py::TestAutogradFuns::test_single_output 2023-07-07T20:07:14.3742716Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:14.3742997Z 2023-07-07T20:07:14.3743320Z onnx/test_autograd_funs.py::TestAutogradFuns::test_aten_unsupported PASSED [0.0085s] [ 14%] 2023-07-07T20:07:14.3744012Z onnx/test_autograd_funs.py::TestAutogradFuns::test_inline_and_symbolic PASSED [0.0413s] [ 28%] 2023-07-07T20:07:14.3744846Z onnx/test_autograd_funs.py::TestAutogradFuns::test_inline_with_scoped_tracing PASSED [0.0086s] [ 42%] 2023-07-07T20:07:14.3745517Z onnx/test_autograd_funs.py::TestAutogradFuns::test_multi_output PASSED [0.0071s] [ 57%] 2023-07-07T20:07:14.3746170Z onnx/test_autograd_funs.py::TestAutogradFuns::test_nested_autograd PASSED [0.0085s] [ 71%] 2023-07-07T20:07:14.3746839Z onnx/test_autograd_funs.py::TestAutogradFuns::test_partial_output PASSED [0.0080s] [ 85%] 2023-07-07T20:07:14.3748900Z onnx/test_autograd_funs.py::TestAutogradFuns::test_single_output PASSED [0.0109s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:07:14.3750045Z _C._set_default_tensor_type(t) 2023-07-07T20:07:14.3750292Z 2023-07-07T20:07:14.3750300Z 2023-07-07T20:07:14.3751001Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_autograd_funs/onnx.test_autograd_funs-d9eff169a6400d86.xml - 2023-07-07T20:07:14.3751708Z ============================== 7 passed in 0.18s =============================== 2023-07-07T20:07:14.3751966Z 2023-07-07T20:07:14.3752416Z ##[endgroup] 2023-07-07T20:07:14.3753229Z FINISHED PRINTING LOG FILE of onnx/test_autograd_funs 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_autograd_funs_5np4rogp.log) 2023-07-07T20:07:14.3753715Z 2023-07-07T20:07:15.0842772Z 2023-07-07T20:07:15.0843407Z Expand the folded group to see the log file of onnx/test_onnxscript_runtime 1/1 2023-07-07T20:07:15.0844673Z ##[group]PRINTING LOG FILE of onnx/test_onnxscript_runtime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_onnxscript_runtime_g7wjtkz_.log) 2023-07-07T20:07:15.0846007Z Test results will be stored in test-reports/python-pytest/onnx.test_onnxscript_runtime/onnx.test_onnxscript_runtime-898b36415a16cca8.xml 2023-07-07T20:07:15.0846720Z ============================= test session starts ============================== 2023-07-07T20:07:15.0847480Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:15.0847982Z cachedir: .pytest_cache 2023-07-07T20:07:15.0848753Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:15.0849195Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:15.0849687Z configfile: pytest.ini 2023-07-07T20:07:15.0850375Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:15.0850914Z collecting ... collected 2 items 2023-07-07T20:07:15.0851631Z Running 2 items in this shard: test/onnx/test_onnxscript_runtime.py::TestONNXScriptRuntime::test_layer_norm, test/onnx/test_onnxscript_runtime.py::TestONNXScriptRuntime::test_selu_from_onnxscript_example 2023-07-07T20:07:15.0852092Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:15.0852250Z 2023-07-07T20:07:15.0852433Z onnx/test_onnxscript_runtime.py::TestONNXScriptRuntime::test_layer_norm PASSED [0.0518s] [ 50%] 2023-07-07T20:07:15.0853494Z onnx/test_onnxscript_runtime.py::TestONNXScriptRuntime::test_selu_from_onnxscript_example PASSED [0.0121s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:07:15.0854213Z _C._set_default_tensor_type(t) 2023-07-07T20:07:15.0854342Z 2023-07-07T20:07:15.0854347Z 2023-07-07T20:07:15.0854720Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_onnxscript_runtime/onnx.test_onnxscript_runtime-898b36415a16cca8.xml - 2023-07-07T20:07:15.0855192Z ============================== 2 passed in 0.15s =============================== 2023-07-07T20:07:15.0855337Z 2023-07-07T20:07:15.0855613Z ##[endgroup] 2023-07-07T20:07:15.0856071Z FINISHED PRINTING LOG FILE of onnx/test_onnxscript_runtime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_onnxscript_runtime_g7wjtkz_.log) 2023-07-07T20:07:15.0856320Z 2023-07-07T20:07:16.7945200Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:16.7953630Z Ignoring disabled issues: [''] 2023-07-07T20:07:17.4469266Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:17.4478312Z Ignoring disabled issues: [''] 2023-07-07T20:07:18.0472743Z Running onnx/dynamo/test_registry_dispatcher 1/1 ... [2023-07-07 20:07:18.046889] 2023-07-07T20:07:18.0474142Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/dynamo/test_registry_dispatcher.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/dynamo/test_registry_dispatcher_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:18.047152] 2023-07-07T20:07:20.8730602Z 2023-07-07T20:07:20.8731321Z Expand the folded group to see the log file of onnx/dynamo/test_registry_dispatcher 1/1 2023-07-07T20:07:20.8732708Z ##[group]PRINTING LOG FILE of onnx/dynamo/test_registry_dispatcher 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-dynamo-test_registry_dispatcher_6y1ezt6j.log) 2023-07-07T20:07:20.8734229Z Test results will be stored in test-reports/python-pytest/onnx.dynamo.test_registry_dispatcher/onnx.dynamo.test_registry_dispatcher-145f38c53ec752b4.xml 2023-07-07T20:07:20.8734989Z ============================= test session starts ============================== 2023-07-07T20:07:20.8735529Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:20.8735794Z cachedir: .pytest_cache 2023-07-07T20:07:20.8736236Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:20.8736576Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:20.8736776Z configfile: pytest.ini 2023-07-07T20:07:20.8737242Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:20.8737586Z collecting ... collected 44 items 2023-07-07T20:07:20.8745128Z Running 44 items in this shard: test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_bool_is_true_when_not_empty, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_custom_added_returns_true_for_custom_added_value, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_item_raises_key_error_when_not_found, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_item_returns_base_value_when_no_add_custom, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_item_returns_custom_added_value_when_add_custom, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_returns_custom_added_value_when_add_custom, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_returns_none_when_not_found, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_in_base_returns_true_for_base_value, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_remove_custom_removes_custom_added_key, test/onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_remove_custom_removes_custom_added_value, test/onnx/dynamo/test_registry_dispatcher.py::TestRegistrationDecorators::test_custom_onnx_symbolic_overrides_existing_function, test/onnx/dynamo/test_registry_dispatcher.py::TestRegistrationDecorators::test_custom_onnx_symbolic_registers_custom_function, test/onnx/dynamo/test_registry_dispatcher.py::TestRegistrationDecorators::test_onnx_symbolic_registers_function, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_10_expected_10, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_11_expected_11, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_16_expected_11, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_7_expected_7, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_8_expected_8, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_9_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_10_expected_10, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_16_expected_16, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_7_expected_7, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_8_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_9_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_10_expected_10, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_15_expected_10, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_16_expected_16, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_7_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_8_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_9_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[17]_target_16_expected_None, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[1]_target_16_expected_1, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_8_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_9_expected_9, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_16_expected_None, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_8_expected_None, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_9_expected_None, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_get_aten_name, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_get_function_overloads, test/onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_warnings_in_find_the_perfect_or_nearest_match_onnxfunction, test/onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_find_onnx_data_type, test/onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_matching_score_system_on_optional_dtypes, test/onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_matching_score_system_on_overload_dtypes, test/onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_perfect_match_inputs 2023-07-07T20:07:20.8752325Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:20.8752488Z 2023-07-07T20:07:20.8752691Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_bool_is_true_when_not_empty PASSED [0.0002s] [ 2%] 2023-07-07T20:07:20.8753132Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_custom_added_returns_true_for_custom_added_value PASSED [0.0002s] [ 4%] 2023-07-07T20:07:20.8753583Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_item_raises_key_error_when_not_found PASSED [0.0002s] [ 6%] 2023-07-07T20:07:20.8754013Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_item_returns_base_value_when_no_add_custom PASSED [0.0005s] [ 9%] 2023-07-07T20:07:20.8754464Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_item_returns_custom_added_value_when_add_custom PASSED [0.0003s] [ 11%] 2023-07-07T20:07:20.8755026Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_returns_custom_added_value_when_add_custom PASSED [0.0003s] [ 13%] 2023-07-07T20:07:20.8755460Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_get_returns_none_when_not_found PASSED [0.0002s] [ 15%] 2023-07-07T20:07:20.8755864Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_in_base_returns_true_for_base_value PASSED [0.0001s] [ 18%] 2023-07-07T20:07:20.8756288Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_remove_custom_removes_custom_added_key PASSED [0.0004s] [ 20%] 2023-07-07T20:07:20.8756719Z onnx/dynamo/test_registry_dispatcher.py::TestMergeDict::test_remove_custom_removes_custom_added_value PASSED [0.0003s] [ 22%] 2023-07-07T20:07:20.8757195Z onnx/dynamo/test_registry_dispatcher.py::TestRegistrationDecorators::test_custom_onnx_symbolic_overrides_existing_function PASSED [0.0014s] [ 25%] 2023-07-07T20:07:20.8757691Z onnx/dynamo/test_registry_dispatcher.py::TestRegistrationDecorators::test_custom_onnx_symbolic_registers_custom_function PASSED [0.0037s] [ 27%] 2023-07-07T20:07:20.8758178Z onnx/dynamo/test_registry_dispatcher.py::TestRegistrationDecorators::test_onnx_symbolic_registers_function PASSED [0.0012s] [ 29%] 2023-07-07T20:07:20.8758732Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_10_expected_10 PASSED [0.0018s] [ 31%] 2023-07-07T20:07:20.8759281Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_11_expected_11 PASSED [0.0014s] [ 34%] 2023-07-07T20:07:20.8759822Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_16_expected_11 PASSED [0.0015s] [ 36%] 2023-07-07T20:07:20.8760347Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_7_expected_7 PASSED [0.0013s] [ 38%] 2023-07-07T20:07:20.8760890Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_8_expected_8 PASSED [0.0013s] [ 40%] 2023-07-07T20:07:20.8761429Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 8, 9, 10, 11)_target_9_expected_9 PASSED [0.0013s] [ 43%] 2023-07-07T20:07:20.8761993Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_10_expected_10 PASSED [0.0013s] [ 45%] 2023-07-07T20:07:20.8762514Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_16_expected_16 PASSED [0.0012s] [ 47%] 2023-07-07T20:07:20.8763070Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_7_expected_7 PASSED [0.0013s] [ 50%] 2023-07-07T20:07:20.8763637Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_8_expected_9 PASSED [0.0012s] [ 52%] 2023-07-07T20:07:20.8764165Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(7, 9, 10, 16)_target_9_expected_9 PASSED [0.0013s] [ 54%] 2023-07-07T20:07:20.8764893Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_10_expected_10 PASSED [0.0012s] [ 56%] 2023-07-07T20:07:20.8765417Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_15_expected_10 PASSED [0.0012s] [ 59%] 2023-07-07T20:07:20.8765949Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_16_expected_16 PASSED [0.0014s] [ 61%] 2023-07-07T20:07:20.8766492Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_7_expected_9 PASSED [0.0013s] [ 63%] 2023-07-07T20:07:20.8767027Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_8_expected_9 PASSED [0.0012s] [ 65%] 2023-07-07T20:07:20.8767554Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_(9, 10, 16)_target_9_expected_9 PASSED [0.0013s] [ 68%] 2023-07-07T20:07:20.8768072Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[17]_target_16_expected_None PASSED [0.0012s] [ 70%] 2023-07-07T20:07:20.8768609Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[1]_target_16_expected_1 PASSED [0.0013s] [ 72%] 2023-07-07T20:07:20.8769201Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_8_expected_9 PASSED [0.0013s] [ 75%] 2023-07-07T20:07:20.8769727Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[9]_target_9_expected_9 PASSED [0.0012s] [ 77%] 2023-07-07T20:07:20.8770259Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_16_expected_None PASSED [0.0012s] [ 79%] 2023-07-07T20:07:20.8770783Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_8_expected_None PASSED [0.0013s] [ 81%] 2023-07-07T20:07:20.8771320Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_dispatch_opset_version_returns_correct_version_available_opsets_[]_target_9_expected_None PASSED [0.0012s] [ 84%] 2023-07-07T20:07:20.8771902Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_get_aten_name ERROR:TestDispatcher:Unsupported OverloadPacket: aten.add, aten.sym_size is the only allowed OverloadPacket! 2023-07-07T20:07:20.8772304Z ERROR:TestDispatcher:None 2023-07-07T20:07:20.8772634Z ERROR:TestDispatcher:Unknown call_function target: .made_up_test at 0x7fc64937d0d0> 2023-07-07T20:07:20.8772958Z ERROR:TestDispatcher:None 2023-07-07T20:07:20.8773579Z ERROR:TestDispatcher:Unsupported node arg: A (type ) with builtin function: , only int/float/SymInt/SymFloat is supported with built-in ops! 2023-07-07T20:07:20.8773957Z ERROR:TestDispatcher:None 2023-07-07T20:07:20.8774146Z PASSED [0.0019s] [ 86%] 2023-07-07T20:07:20.8774674Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_get_function_overloads ERROR:TestDispatcher:Cannot find symbolic function for aten::test, which should be registered under .made_up_test at 0x7fc64937d0d0>. 2023-07-07T20:07:20.8775183Z ERROR:TestDispatcher:None 2023-07-07T20:07:20.8775372Z PASSED [0.0015s] [ 88%] 2023-07-07T20:07:20.8775799Z onnx/dynamo/test_registry_dispatcher.py::TestDispatcher::test_warnings_in_find_the_perfect_or_nearest_match_onnxfunction WARNING:TestDispatcher:FX Node: call_function:aten.add.Tensor[name=aten::add.Tensor]. 2023-07-07T20:07:20.8776256Z ONNX Node: aten_add[opset=pkg.onnxscript.torch_lib]. 2023-07-07T20:07:20.8776427Z 2023-07-07T20:07:20.8776557Z WARNING:TestDispatcher:### Exact match is not found! 2023-07-07T20:07:20.8776903Z Cannot find a perfect match of symbolic overload, a nearest match is found. Please check the ONNX output carefully. 2023-07-07T20:07:20.8777130Z 2023-07-07T20:07:20.8777320Z ### Function Signature OnnxFunctionDispatcher._find_the_perfect_or_nearest_match_onnxfunction 2023-07-07T20:07:20.8777807Z - self: 2023-07-07T20:07:20.8778514Z - node: fx.Node(aten::add.Tensor[call_function]'aten.add.Tensor') 2023-07-07T20:07:20.8778786Z - aten_name: 2023-07-07T20:07:20.8779038Z - function_overloads: 2023-07-07T20:07:20.8779284Z - onnx_args: 2023-07-07T20:07:20.8779604Z - onnx_kwargs: 2023-07-07T20:07:20.8780099Z - diagnostic_context: 2023-07-07T20:07:20.8780515Z - Return value: `OnnxFunction(aten_add)` 2023-07-07T20:07:20.8780719Z PASSED [0.0045s] [ 90%] 2023-07-07T20:07:20.8781035Z onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_find_onnx_data_type PASSED [0.0009s] [ 93%] 2023-07-07T20:07:20.8781485Z onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_matching_score_system_on_optional_dtypes PASSED [0.0012s] [ 95%] 2023-07-07T20:07:20.8781998Z onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_matching_score_system_on_overload_dtypes PASSED [0.0009s] [ 97%] 2023-07-07T20:07:20.8782427Z onnx/dynamo/test_registry_dispatcher.py::TestOpSchemaWrapper::test_perfect_match_inputs PASSED [0.0006s] [100%] 2023-07-07T20:07:20.8782649Z 2023-07-07T20:07:20.8783081Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.dynamo.test_registry_dispatcher/onnx.dynamo.test_registry_dispatcher-145f38c53ec752b4.xml - 2023-07-07T20:07:20.8783505Z ============================== 44 passed in 0.17s ============================== 2023-07-07T20:07:20.8783652Z 2023-07-07T20:07:20.8783951Z ##[endgroup] 2023-07-07T20:07:20.8784437Z FINISHED PRINTING LOG FILE of onnx/dynamo/test_registry_dispatcher 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-dynamo-test_registry_dispatcher_6y1ezt6j.log) 2023-07-07T20:07:20.8784729Z 2023-07-07T20:07:21.3172257Z Running onnx/test_utility_funs 1/1 ... [2023-07-07 20:07:21.316847] 2023-07-07T20:07:21.3175019Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_utility_funs.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_utility_funs_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:21.317278] 2023-07-07T20:07:37.6689592Z 2023-07-07T20:07:37.6690733Z Expand the folded group to see the log file of onnx/test_utility_funs 1/1 2023-07-07T20:07:37.6692368Z ##[group]PRINTING LOG FILE of onnx/test_utility_funs 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_utility_funs_t9_g9pwi.log) 2023-07-07T20:07:37.6693483Z Test results will be stored in test-reports/python-pytest/onnx.test_utility_funs/onnx.test_utility_funs-004e4188ca8ff9a7.xml 2023-07-07T20:07:37.6694082Z ============================= test session starts ============================== 2023-07-07T20:07:37.6694845Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:37.6695535Z cachedir: .pytest_cache 2023-07-07T20:07:37.6696294Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:37.6696832Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:37.6697177Z configfile: pytest.ini 2023-07-07T20:07:37.6697919Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:37.6698453Z collecting ... collected 617 items 2023-07-07T20:07:37.6783544Z Running 617 items in this shard: test/onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_all_ops_convertible_nn_module, test/onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_all_ops_convertible_scripted, test/onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_all_ops_convertible_traced, test/onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_model_contains_supported_inplace_ops, test/onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_graph_and_unconvertible_ops_at_lower_opset_version, test/onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_unconvertible_ops_at_lower_opset_version_for_jit_module_scripted, test/onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_unconvertible_ops_at_lower_opset_version_for_jit_module_traced, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_verbose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_aten_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_autograd_module_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_autograd_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_bad_symbolic_registration, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_add, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_concat, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_div, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_gather, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_lstm, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_mul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_reduceL1, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_reduceL2, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_reshape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_shape, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_slice_index_exceeds_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_slice_negative_index, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_sqrt, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_squeeze_with_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_squeeze_without_axes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_sub, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_transpose, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_transpose_matmul, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_unsqueeze, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_unsqueeze_multi_axies, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_upsample_scale_fold_as_constant, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_layer_tuple, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_op_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_opsets_gelu, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_opsets_inverse, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_ignore_upsample_scale, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_initializers_diff_devices, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_initializers_torchscript, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_duplicated_output_node, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_error_on_data_parallel, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_export_does_not_fail_on_frozen_scripted_module, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_export_mode, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_fuse_conv_bn, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_fuse_resnet18, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_is_in_onnx_export, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function_infer_scopes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function_overloads, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function_predefined_attributes, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_modifying_params, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_node_scope, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_function_substitution_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_node_naming, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_value_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_prim_fallthrough, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_register_aten_custom_op_symbolic, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_scope_of_constants_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_scope_of_nodes_when_combined_by_cse_pass, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_scripting_param, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_sequence_dim, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_split_to_slice, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_unused_initializers, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_validate_dynamic_axes_invalid_input_output_name, test/onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_verbose 2023-07-07T20:07:37.6841354Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:37.6841522Z 2023-07-07T20:07:37.6841774Z onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_all_ops_convertible_nn_module PASSED [0.0090s] [ 0%] 2023-07-07T20:07:37.6842222Z onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_all_ops_convertible_scripted PASSED [0.0097s] [ 0%] 2023-07-07T20:07:37.6842685Z onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_all_ops_convertible_traced PASSED [0.0437s] [ 0%] 2023-07-07T20:07:37.6843148Z onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_empty_list_when_model_contains_supported_inplace_ops PASSED [0.0011s] [ 0%] 2023-07-07T20:07:37.6843616Z onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_graph_and_unconvertible_ops_at_lower_opset_version PASSED [0.0012s] [ 0%] 2023-07-07T20:07:37.6844099Z onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_unconvertible_ops_at_lower_opset_version_for_jit_module_scripted PASSED [0.0936s] [ 0%] 2023-07-07T20:07:37.6844714Z onnx/test_utility_funs.py::TestUnconvertibleOps::test_it_returns_unconvertible_ops_at_lower_opset_version_for_jit_module_traced PASSED [0.0051s] [ 1%] 2023-07-07T20:07:37.6845143Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_aten_fallthrough PASSED [0.1635s] [ 1%] 2023-07-07T20:07:37.6845634Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_autograd_module_name PASSED [0.0147s] [ 1%] 2023-07-07T20:07:37.6846004Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_autograd_onnx_fallthrough PASSED [0.0030s] [ 1%] 2023-07-07T20:07:37.6846389Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_bad_symbolic_registration PASSED [0.0027s] [ 1%] 2023-07-07T20:07:37.6846760Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_add PASSED [0.0060s] [ 1%] 2023-07-07T20:07:37.6847222Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_concat PASSED [0.0100s] [ 2%] 2023-07-07T20:07:37.6847574Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_div PASSED [0.0052s] [ 2%] 2023-07-07T20:07:37.6847944Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_gather PASSED [0.0097s] [ 2%] 2023-07-07T20:07:37.6848307Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_lstm PASSED [0.0135s] [ 2%] 2023-07-07T20:07:37.6848673Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_mul PASSED [0.0054s] [ 2%] 2023-07-07T20:07:37.6849027Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_reduceL1 PASSED [0.0084s] [ 2%] 2023-07-07T20:07:37.6849399Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_reduceL2 PASSED [0.0083s] [ 3%] 2023-07-07T20:07:37.6849771Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_reshape PASSED [0.0046s] [ 3%] 2023-07-07T20:07:37.6850136Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_shape PASSED [0.0043s] [ 3%] 2023-07-07T20:07:37.6850502Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_slice PASSED [0.0062s] [ 3%] 2023-07-07T20:07:37.6850886Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_slice_index_exceeds_dim PASSED [0.0064s] [ 3%] 2023-07-07T20:07:37.6851284Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_slice_negative_index PASSED [0.0093s] [ 3%] 2023-07-07T20:07:37.6851657Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_sqrt PASSED [0.0035s] [ 4%] 2023-07-07T20:07:37.6852033Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_squeeze_with_axes PASSED [0.0060s] [ 4%] 2023-07-07T20:07:37.6852422Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_squeeze_without_axes PASSED [0.0067s] [ 4%] 2023-07-07T20:07:37.6852804Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_sub PASSED [0.0056s] [ 4%] 2023-07-07T20:07:37.6853209Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_transpose PASSED [0.0060s] [ 4%] 2023-07-07T20:07:37.6853594Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_transpose_matmul PASSED [0.0040s] [ 4%] 2023-07-07T20:07:37.6853977Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_unsqueeze PASSED [0.0059s] [ 5%] 2023-07-07T20:07:37.6854365Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_unsqueeze_multi_axies PASSED [0.0090s] [ 5%] 2023-07-07T20:07:37.6854766Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0262s] [ 5%] 2023-07-07T20:07:37.6855414Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6856203Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6856632Z PASSED [0.0058s] [ 5%] 2023-07-07T20:07:37.6858351Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_op_fallthrough [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=custom_add -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -isystem /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include -isystem /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include/TH -isystem /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include/THC -isystem /opt/conda/envs/py_3.8/include/python3.8 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++17 -c /var/lib/jenkins/.cache/torch_extensions/py38_cpu/custom_add/main.cpp -o main.o 2023-07-07T20:07:37.6859626Z [2/2] c++ main.o -shared -L/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o custom_add.so 2023-07-07T20:07:37.6859951Z PASSED [1.0939s] [ 5%] 2023-07-07T20:07:37.6860229Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_opsets_gelu PASSED [0.0056s] [ 5%] 2023-07-07T20:07:37.6860605Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_custom_opsets_inverse PASSED [0.0060s] [ 5%] 2023-07-07T20:07:37.6860998Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_ignore_upsample_scale PASSED [0.0375s] [ 6%] 2023-07-07T20:07:37.6861396Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_initializers PASSED [0.0225s] [ 6%] 2023-07-07T20:07:37.6861819Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_initializers_diff_devices SKIPPED [0.0010s] (CUDA is not available) [ 6%] 2023-07-07T20:07:37.6862264Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_deduplicate_initializers_torchscript PASSED [0.0718s] [ 6%] 2023-07-07T20:07:37.6862737Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6863139Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6863424Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.6863720Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.6864688Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6865511Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6865990Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6866942Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6867702Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.6868086Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.6868255Z 2023-07-07T20:07:37.6868333Z PASSED [0.0077s] [ 6%] 2023-07-07T20:07:37.6868625Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_error_on_data_parallel PASSED [0.0014s] [ 6%] 2023-07-07T20:07:37.6869019Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0153s] [ 7%] 2023-07-07T20:07:37.6869406Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_export_mode PASSED [0.0094s] [ 7%] 2023-07-07T20:07:37.6869798Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_fuse_conv_bn PASSED [0.0426s] [ 7%] 2023-07-07T20:07:37.6870139Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_fuse_resnet18 PASSED [0.4368s] [ 7%] 2023-07-07T20:07:37.6870497Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_is_in_onnx_export PASSED [0.0015s] [ 7%] 2023-07-07T20:07:37.6870965Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function SKIPPED [0.0008s] (Unsupported opset_version: 9 < 15) [ 7%] 2023-07-07T20:07:37.6871428Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function_infer_scopes SKIPPED [0.0008s] (Unsupported opset_version: 9 > 1) [ 8%] 2023-07-07T20:07:37.6871872Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function_overloads SKIPPED [0.0008s] (Unsupported opset_version: 9 < 15) [ 8%] 2023-07-07T20:07:37.6872345Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_local_function_predefined_attributes SKIPPED [0.0062s] (Unsupported opset_version: 9 < 15) [ 8%] 2023-07-07T20:07:37.6872795Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_modifying_params SKIPPED [0.0011s] (Caffe2 is not available) [ 8%] 2023-07-07T20:07:37.6873178Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_node_scope PASSED [0.0717s] [ 8%] 2023-07-07T20:07:37.6873528Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_fallthrough PASSED [0.0051s] [ 8%] 2023-07-07T20:07:37.6873918Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_function_substitution_pass PASSED [0.0046s] [ 9%] 2023-07-07T20:07:37.6874292Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_node_naming PASSED [0.0278s] [ 9%] 2023-07-07T20:07:37.6874655Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_onnx_value_name PASSED [0.0066s] [ 9%] 2023-07-07T20:07:37.6875093Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_prim_fallthrough PASSED [0.0052s] [ 9%] 2023-07-07T20:07:37.6875480Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_register_aten_custom_op_symbolic PASSED [0.0032s] [ 9%] 2023-07-07T20:07:37.6875889Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0056s] [ 9%] 2023-07-07T20:07:37.6876303Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0074s] [ 10%] 2023-07-07T20:07:37.6876678Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_scripting_param PASSED [0.0364s] [ 10%] 2023-07-07T20:07:37.6877110Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_sequence_dim SKIPPED [0.0009s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:07:37.6877540Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_split_to_slice SKIPPED [0.0008s] (Unsupported opset_version: 9 < 11) [ 10%] 2023-07-07T20:07:37.6877940Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_unused_initializers PASSED [0.0721s] [ 10%] 2023-07-07T20:07:37.6878452Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 10%] 2023-07-07T20:07:37.6878910Z onnx/test_utility_funs.py::TestUtilityFuns_opset_9::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.6879444Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.6879800Z return (%1) 2023-07-07T20:07:37.6879896Z 2023-07-07T20:07:37.6879974Z PASSED [0.0049s] [ 11%] 2023-07-07T20:07:37.6880259Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_aten_fallthrough PASSED [0.0025s] [ 11%] 2023-07-07T20:07:37.6880628Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_autograd_module_name PASSED [0.0043s] [ 11%] 2023-07-07T20:07:37.6881038Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_autograd_onnx_fallthrough PASSED [0.0024s] [ 11%] 2023-07-07T20:07:37.6881427Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_bad_symbolic_registration PASSED [0.0025s] [ 11%] 2023-07-07T20:07:37.6881796Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_add PASSED [0.0056s] [ 11%] 2023-07-07T20:07:37.6882162Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_concat PASSED [0.0100s] [ 11%] 2023-07-07T20:07:37.6882607Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_div PASSED [0.0052s] [ 12%] 2023-07-07T20:07:37.6882973Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_gather PASSED [0.0105s] [ 12%] 2023-07-07T20:07:37.6883338Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_lstm PASSED [0.0185s] [ 12%] 2023-07-07T20:07:37.6883703Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_mul PASSED [0.0055s] [ 12%] 2023-07-07T20:07:37.6884062Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_reduceL1 PASSED [0.0086s] [ 12%] 2023-07-07T20:07:37.6885052Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_reduceL2 PASSED [0.0086s] [ 12%] 2023-07-07T20:07:37.6885426Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_reshape PASSED [0.0048s] [ 13%] 2023-07-07T20:07:37.6885797Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_shape PASSED [0.0047s] [ 13%] 2023-07-07T20:07:37.6886158Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_slice PASSED [0.0068s] [ 13%] 2023-07-07T20:07:37.6886545Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_slice_index_exceeds_dim PASSED [0.0077s] [ 13%] 2023-07-07T20:07:37.6886948Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_slice_negative_index PASSED [0.0107s] [ 13%] 2023-07-07T20:07:37.6887317Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_sqrt PASSED [0.0035s] [ 13%] 2023-07-07T20:07:37.6887702Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_squeeze_with_axes PASSED [0.0063s] [ 14%] 2023-07-07T20:07:37.6888095Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_squeeze_without_axes PASSED [0.0071s] [ 14%] 2023-07-07T20:07:37.6888474Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_sub PASSED [0.0059s] [ 14%] 2023-07-07T20:07:37.6888838Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_transpose PASSED [0.0063s] [ 14%] 2023-07-07T20:07:37.6889291Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_transpose_matmul PASSED [0.0040s] [ 14%] 2023-07-07T20:07:37.6889677Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_unsqueeze PASSED [0.0062s] [ 14%] 2023-07-07T20:07:37.6890067Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_unsqueeze_multi_axies PASSED [0.0096s] [ 15%] 2023-07-07T20:07:37.6890469Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0187s] [ 15%] 2023-07-07T20:07:37.6891122Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6891916Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6892349Z PASSED [0.0056s] [ 15%] 2023-07-07T20:07:37.6892640Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_op_fallthrough PASSED [0.0031s] [ 15%] 2023-07-07T20:07:37.6893039Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_opsets_gelu PASSED [0.0033s] [ 15%] 2023-07-07T20:07:37.6893413Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_custom_opsets_inverse PASSED [0.0037s] [ 15%] 2023-07-07T20:07:37.6893803Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_ignore_upsample_scale PASSED [0.0208s] [ 16%] 2023-07-07T20:07:37.6894185Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_initializers PASSED [0.0211s] [ 16%] 2023-07-07T20:07:37.6894699Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 16%] 2023-07-07T20:07:37.6895148Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_deduplicate_initializers_torchscript PASSED [0.0673s] [ 16%] 2023-07-07T20:07:37.6895613Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6895998Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6896295Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.6896590Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.6897590Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6898374Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6898835Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6899797Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6900563Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.6900984Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.6901152Z 2023-07-07T20:07:37.6901230Z PASSED [0.0104s] [ 16%] 2023-07-07T20:07:37.6901509Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_error_on_data_parallel PASSED [0.0014s] [ 16%] 2023-07-07T20:07:37.6901916Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0182s] [ 17%] 2023-07-07T20:07:37.6902304Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_export_mode PASSED [0.0092s] [ 17%] 2023-07-07T20:07:37.6902656Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_fuse_conv_bn PASSED [0.0092s] [ 17%] 2023-07-07T20:07:37.6902992Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_fuse_resnet18 PASSED [0.3812s] [ 17%] 2023-07-07T20:07:37.6903349Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_is_in_onnx_export PASSED [0.0014s] [ 17%] 2023-07-07T20:07:37.6903755Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function SKIPPED [0.0009s] (Unsupported opset_version: 10 < 15) [ 17%] 2023-07-07T20:07:37.6904189Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function_infer_scopes SKIPPED [0.0008s] (Unsupported opset_version: 10 > 1) [ 17%] 2023-07-07T20:07:37.6904648Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function_overloads SKIPPED [0.0008s] (Unsupported opset_version: 10 < 15) [ 18%] 2023-07-07T20:07:37.6905150Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_local_function_predefined_attributes SKIPPED [0.0008s] (Unsupported opset_version: 10 < 15) [ 18%] 2023-07-07T20:07:37.6905604Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_modifying_params SKIPPED [0.0008s] (Caffe2 is not available) [ 18%] 2023-07-07T20:07:37.6905985Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_node_scope PASSED [0.0588s] [ 18%] 2023-07-07T20:07:37.6906373Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_fallthrough PASSED [0.0035s] [ 18%] 2023-07-07T20:07:37.6906796Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_function_substitution_pass PASSED [0.0045s] [ 18%] 2023-07-07T20:07:37.6907173Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_node_naming PASSED [0.0274s] [ 19%] 2023-07-07T20:07:37.6907515Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_onnx_value_name PASSED [0.0066s] [ 19%] 2023-07-07T20:07:37.6907877Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_prim_fallthrough PASSED [0.0050s] [ 19%] 2023-07-07T20:07:37.6908260Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_register_aten_custom_op_symbolic PASSED [0.0033s] [ 19%] 2023-07-07T20:07:37.6908669Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0057s] [ 19%] 2023-07-07T20:07:37.6909066Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0075s] [ 19%] 2023-07-07T20:07:37.6909457Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_scripting_param PASSED [0.0281s] [ 20%] 2023-07-07T20:07:37.6909857Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_sequence_dim SKIPPED [0.0009s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:07:37.6910286Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_split_to_slice SKIPPED [0.0008s] (Unsupported opset_version: 10 < 11) [ 20%] 2023-07-07T20:07:37.6910668Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_unused_initializers PASSED [0.0755s] [ 20%] 2023-07-07T20:07:37.6911074Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 20%] 2023-07-07T20:07:37.6911523Z onnx/test_utility_funs.py::TestUtilityFuns_opset_10::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.6912052Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.6912430Z return (%1) 2023-07-07T20:07:37.6912536Z 2023-07-07T20:07:37.6912611Z PASSED [0.0048s] [ 20%] 2023-07-07T20:07:37.6912896Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_aten_fallthrough PASSED [0.0026s] [ 21%] 2023-07-07T20:07:37.6913262Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_autograd_module_name PASSED [0.0043s] [ 21%] 2023-07-07T20:07:37.6913626Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_autograd_onnx_fallthrough PASSED [0.0025s] [ 21%] 2023-07-07T20:07:37.6914007Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_bad_symbolic_registration PASSED [0.0025s] [ 21%] 2023-07-07T20:07:37.6914375Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_add PASSED [0.0057s] [ 21%] 2023-07-07T20:07:37.6914725Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_concat PASSED [0.0100s] [ 21%] 2023-07-07T20:07:37.6915185Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_div PASSED [0.0051s] [ 22%] 2023-07-07T20:07:37.6915549Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_gather PASSED [0.0093s] [ 22%] 2023-07-07T20:07:37.6915914Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_lstm PASSED [0.0180s] [ 22%] 2023-07-07T20:07:37.6916264Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_mul PASSED [0.0053s] [ 22%] 2023-07-07T20:07:37.6916717Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_reduceL1 PASSED [0.0083s] [ 22%] 2023-07-07T20:07:37.6917099Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_reduceL2 PASSED [0.0086s] [ 22%] 2023-07-07T20:07:37.6917475Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_reshape PASSED [0.0046s] [ 23%] 2023-07-07T20:07:37.6917902Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_shape PASSED [0.0044s] [ 23%] 2023-07-07T20:07:37.6918270Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_slice PASSED [0.0067s] [ 23%] 2023-07-07T20:07:37.6918652Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_slice_index_exceeds_dim PASSED [0.0069s] [ 23%] 2023-07-07T20:07:37.6919054Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_slice_negative_index PASSED [0.0099s] [ 23%] 2023-07-07T20:07:37.6919425Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_sqrt PASSED [0.0034s] [ 23%] 2023-07-07T20:07:37.6919804Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_squeeze_with_axes PASSED [0.0060s] [ 23%] 2023-07-07T20:07:37.6920203Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_squeeze_without_axes PASSED [0.0068s] [ 24%] 2023-07-07T20:07:37.6920568Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_sub PASSED [0.0057s] [ 24%] 2023-07-07T20:07:37.6920944Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_transpose PASSED [0.0065s] [ 24%] 2023-07-07T20:07:37.6921329Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_transpose_matmul PASSED [0.0039s] [ 24%] 2023-07-07T20:07:37.6921714Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_unsqueeze PASSED [0.0060s] [ 24%] 2023-07-07T20:07:37.6922088Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_unsqueeze_multi_axies PASSED [0.0090s] [ 24%] 2023-07-07T20:07:37.6922504Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0312s] [ 25%] 2023-07-07T20:07:37.6923161Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6923984Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6924546Z PASSED [0.0080s] [ 25%] 2023-07-07T20:07:37.6924831Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_op_fallthrough PASSED [0.0040s] [ 25%] 2023-07-07T20:07:37.6925207Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_opsets_gelu PASSED [0.0045s] [ 25%] 2023-07-07T20:07:37.6925579Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_custom_opsets_inverse PASSED [0.0050s] [ 25%] 2023-07-07T20:07:37.6925957Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_ignore_upsample_scale PASSED [0.0237s] [ 25%] 2023-07-07T20:07:37.6926358Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_initializers PASSED [0.0210s] [ 26%] 2023-07-07T20:07:37.6926797Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 26%] 2023-07-07T20:07:37.6927239Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_deduplicate_initializers_torchscript PASSED [0.0662s] [ 26%] 2023-07-07T20:07:37.6927692Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6928137Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6928439Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.6928733Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.6929745Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6930542Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6931018Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6931981Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6932750Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.6933133Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.6933304Z 2023-07-07T20:07:37.6933370Z PASSED [0.0073s] [ 26%] 2023-07-07T20:07:37.6933665Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_error_on_data_parallel PASSED [0.0010s] [ 26%] 2023-07-07T20:07:37.6934071Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0145s] [ 26%] 2023-07-07T20:07:37.6934460Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_export_mode PASSED [0.0093s] [ 27%] 2023-07-07T20:07:37.6934799Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_fuse_conv_bn PASSED [0.0092s] [ 27%] 2023-07-07T20:07:37.6935149Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_fuse_resnet18 PASSED [0.4117s] [ 27%] 2023-07-07T20:07:37.6935507Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_is_in_onnx_export PASSED [0.0014s] [ 27%] 2023-07-07T20:07:37.6935953Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function SKIPPED [0.0008s] (Unsupported opset_version: 11 < 15) [ 27%] 2023-07-07T20:07:37.6936392Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function_infer_scopes SKIPPED [0.0008s] (Unsupported opset_version: 11 > 1) [ 27%] 2023-07-07T20:07:37.6936851Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function_overloads SKIPPED [0.0007s] (Unsupported opset_version: 11 < 15) [ 28%] 2023-07-07T20:07:37.6937319Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_local_function_predefined_attributes SKIPPED [0.0007s] (Unsupported opset_version: 11 < 15) [ 28%] 2023-07-07T20:07:37.6937770Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_modifying_params SKIPPED [0.0010s] (Caffe2 is not available) [ 28%] 2023-07-07T20:07:37.6938137Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_node_scope PASSED [0.0584s] [ 28%] 2023-07-07T20:07:37.6938500Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_fallthrough PASSED [0.0035s] [ 28%] 2023-07-07T20:07:37.6938886Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_function_substitution_pass PASSED [0.0046s] [ 28%] 2023-07-07T20:07:37.6939247Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_node_naming PASSED [0.0270s] [ 29%] 2023-07-07T20:07:37.6939607Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_onnx_value_name PASSED [0.0065s] [ 29%] 2023-07-07T20:07:37.6940035Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_prim_fallthrough SKIPPED [0.0008s] (Unsupported opset_version: 11 > 10) [ 29%] 2023-07-07T20:07:37.6940459Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_register_aten_custom_op_symbolic PASSED [0.0030s] [ 29%] 2023-07-07T20:07:37.6940855Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0054s] [ 29%] 2023-07-07T20:07:37.6941329Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0070s] [ 29%] 2023-07-07T20:07:37.6941719Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_scripting_param PASSED [0.0280s] [ 29%] 2023-07-07T20:07:37.6942074Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_sequence_dim PASSED [0.0094s] [ 30%] 2023-07-07T20:07:37.6942415Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_split_to_slice PASSED [0.0092s] [ 30%] 2023-07-07T20:07:37.6942777Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_unused_initializers PASSED [0.0761s] [ 30%] 2023-07-07T20:07:37.6943179Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 30%] 2023-07-07T20:07:37.6943628Z onnx/test_utility_funs.py::TestUtilityFuns_opset_11::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.6944146Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.6944507Z return (%1) 2023-07-07T20:07:37.6944615Z 2023-07-07T20:07:37.6944692Z PASSED [0.0048s] [ 30%] 2023-07-07T20:07:37.6944976Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_aten_fallthrough PASSED [0.0025s] [ 30%] 2023-07-07T20:07:37.6945333Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_autograd_module_name PASSED [0.0042s] [ 31%] 2023-07-07T20:07:37.6945716Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_autograd_onnx_fallthrough PASSED [0.0024s] [ 31%] 2023-07-07T20:07:37.6946101Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_bad_symbolic_registration PASSED [0.0024s] [ 31%] 2023-07-07T20:07:37.6946471Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_add PASSED [0.0055s] [ 31%] 2023-07-07T20:07:37.6946825Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_concat PASSED [0.0100s] [ 31%] 2023-07-07T20:07:37.6947226Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_div PASSED [0.0051s] [ 31%] 2023-07-07T20:07:37.6947590Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_gather PASSED [0.0097s] [ 32%] 2023-07-07T20:07:37.6947946Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_lstm PASSED [0.0183s] [ 32%] 2023-07-07T20:07:37.6948307Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_mul PASSED [0.0056s] [ 32%] 2023-07-07T20:07:37.6948677Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_reduceL1 PASSED [0.0084s] [ 32%] 2023-07-07T20:07:37.6949054Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_reduceL2 PASSED [0.0091s] [ 32%] 2023-07-07T20:07:37.6949414Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_reshape PASSED [0.0047s] [ 32%] 2023-07-07T20:07:37.6949790Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_shape PASSED [0.0045s] [ 33%] 2023-07-07T20:07:37.6950155Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_slice PASSED [0.0098s] [ 33%] 2023-07-07T20:07:37.6950540Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_slice_index_exceeds_dim PASSED [0.0102s] [ 33%] 2023-07-07T20:07:37.6950930Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_slice_negative_index PASSED [0.0102s] [ 33%] 2023-07-07T20:07:37.6951341Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_sqrt PASSED [0.0033s] [ 33%] 2023-07-07T20:07:37.6951723Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_squeeze_with_axes PASSED [0.0059s] [ 33%] 2023-07-07T20:07:37.6952113Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_squeeze_without_axes PASSED [0.0068s] [ 34%] 2023-07-07T20:07:37.6952477Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_sub PASSED [0.0057s] [ 34%] 2023-07-07T20:07:37.6952915Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_transpose PASSED [0.0064s] [ 34%] 2023-07-07T20:07:37.6953308Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_transpose_matmul PASSED [0.0038s] [ 34%] 2023-07-07T20:07:37.6953680Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_unsqueeze PASSED [0.0059s] [ 34%] 2023-07-07T20:07:37.6954067Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_unsqueeze_multi_axies PASSED [0.0092s] [ 34%] 2023-07-07T20:07:37.6954482Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0243s] [ 35%] 2023-07-07T20:07:37.6955217Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6956008Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6956422Z PASSED [0.0058s] [ 35%] 2023-07-07T20:07:37.6956715Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_op_fallthrough PASSED [0.0029s] [ 35%] 2023-07-07T20:07:37.6957091Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_opsets_gelu PASSED [0.0033s] [ 35%] 2023-07-07T20:07:37.6957464Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_custom_opsets_inverse PASSED [0.0037s] [ 35%] 2023-07-07T20:07:37.6957840Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_ignore_upsample_scale PASSED [0.0227s] [ 35%] 2023-07-07T20:07:37.6958237Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_initializers PASSED [0.0207s] [ 35%] 2023-07-07T20:07:37.6958708Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 36%] 2023-07-07T20:07:37.6959254Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_deduplicate_initializers_torchscript PASSED [0.0659s] [ 36%] 2023-07-07T20:07:37.6959730Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6960125Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6960425Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.6960712Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.6961688Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6962458Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6962928Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6963941Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6964934Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.6965304Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.6965476Z 2023-07-07T20:07:37.6965555Z PASSED [0.0073s] [ 36%] 2023-07-07T20:07:37.6965850Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_error_on_data_parallel PASSED [0.0009s] [ 36%] 2023-07-07T20:07:37.6966257Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0146s] [ 36%] 2023-07-07T20:07:37.6966636Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_export_mode PASSED [0.0094s] [ 36%] 2023-07-07T20:07:37.6966989Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_fuse_conv_bn PASSED [0.0094s] [ 37%] 2023-07-07T20:07:37.6967341Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_fuse_resnet18 PASSED [0.4116s] [ 37%] 2023-07-07T20:07:37.6967699Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_is_in_onnx_export PASSED [0.0015s] [ 37%] 2023-07-07T20:07:37.6968092Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function SKIPPED [0.0008s] (Unsupported opset_version: 12 < 15) [ 37%] 2023-07-07T20:07:37.6968541Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function_infer_scopes SKIPPED [0.0008s] (Unsupported opset_version: 12 > 1) [ 37%] 2023-07-07T20:07:37.6968999Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function_overloads SKIPPED [0.0007s] (Unsupported opset_version: 12 < 15) [ 37%] 2023-07-07T20:07:37.6969470Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_local_function_predefined_attributes SKIPPED [0.0007s] (Unsupported opset_version: 12 < 15) [ 38%] 2023-07-07T20:07:37.6969909Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_modifying_params SKIPPED [0.0007s] (Caffe2 is not available) [ 38%] 2023-07-07T20:07:37.6970288Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_node_scope PASSED [0.0586s] [ 38%] 2023-07-07T20:07:37.6970650Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_fallthrough PASSED [0.0034s] [ 38%] 2023-07-07T20:07:37.6971082Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_function_substitution_pass PASSED [0.0044s] [ 38%] 2023-07-07T20:07:37.6971446Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_node_naming PASSED [0.0274s] [ 38%] 2023-07-07T20:07:37.6971799Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_onnx_value_name PASSED [0.0065s] [ 39%] 2023-07-07T20:07:37.6972200Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_prim_fallthrough SKIPPED [0.0008s] (Unsupported opset_version: 12 > 10) [ 39%] 2023-07-07T20:07:37.6972603Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_register_aten_custom_op_symbolic PASSED [0.0029s] [ 39%] 2023-07-07T20:07:37.6973011Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0054s] [ 39%] 2023-07-07T20:07:37.6973428Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0070s] [ 39%] 2023-07-07T20:07:37.6973808Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_scripting_param PASSED [0.0278s] [ 39%] 2023-07-07T20:07:37.6974149Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_sequence_dim PASSED [0.0093s] [ 40%] 2023-07-07T20:07:37.6974499Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_split_to_slice PASSED [0.0093s] [ 40%] 2023-07-07T20:07:37.6974864Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_unused_initializers PASSED [0.0752s] [ 40%] 2023-07-07T20:07:37.6975304Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 40%] 2023-07-07T20:07:37.6975751Z onnx/test_utility_funs.py::TestUtilityFuns_opset_12::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.6976312Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.6976710Z return (%1) 2023-07-07T20:07:37.6976819Z 2023-07-07T20:07:37.6976894Z PASSED [0.0048s] [ 40%] 2023-07-07T20:07:37.6977166Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_aten_fallthrough PASSED [0.0025s] [ 40%] 2023-07-07T20:07:37.6977537Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_autograd_module_name PASSED [0.0042s] [ 41%] 2023-07-07T20:07:37.6977913Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_autograd_onnx_fallthrough PASSED [0.0024s] [ 41%] 2023-07-07T20:07:37.6978303Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_bad_symbolic_registration PASSED [0.0024s] [ 41%] 2023-07-07T20:07:37.6978662Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_add PASSED [0.0079s] [ 41%] 2023-07-07T20:07:37.6979030Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_concat PASSED [0.0144s] [ 41%] 2023-07-07T20:07:37.6979401Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_div PASSED [0.0052s] [ 41%] 2023-07-07T20:07:37.6979753Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_gather PASSED [0.0094s] [ 41%] 2023-07-07T20:07:37.6980123Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_lstm PASSED [0.0191s] [ 42%] 2023-07-07T20:07:37.6980486Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_mul PASSED [0.0051s] [ 42%] 2023-07-07T20:07:37.6980857Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_reduceL1 PASSED [0.0085s] [ 42%] 2023-07-07T20:07:37.6981220Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_reduceL2 PASSED [0.0090s] [ 42%] 2023-07-07T20:07:37.6981592Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_reshape PASSED [0.0047s] [ 42%] 2023-07-07T20:07:37.6981965Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_shape PASSED [0.0043s] [ 42%] 2023-07-07T20:07:37.6982363Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_slice PASSED [0.0070s] [ 43%] 2023-07-07T20:07:37.6982731Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_slice_index_exceeds_dim PASSED [0.0074s] [ 43%] 2023-07-07T20:07:37.6983132Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_slice_negative_index PASSED [0.0102s] [ 43%] 2023-07-07T20:07:37.6983513Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_sqrt PASSED [0.0032s] [ 43%] 2023-07-07T20:07:37.6983891Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_squeeze_with_axes PASSED [0.0061s] [ 43%] 2023-07-07T20:07:37.6984272Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_squeeze_without_axes PASSED [0.0069s] [ 43%] 2023-07-07T20:07:37.6984650Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_sub PASSED [0.0058s] [ 44%] 2023-07-07T20:07:37.6985028Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_transpose PASSED [0.0066s] [ 44%] 2023-07-07T20:07:37.6985402Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_transpose_matmul PASSED [0.0039s] [ 44%] 2023-07-07T20:07:37.6985791Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_unsqueeze PASSED [0.0061s] [ 44%] 2023-07-07T20:07:37.6986183Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_unsqueeze_multi_axies PASSED [0.0096s] [ 44%] 2023-07-07T20:07:37.6986628Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0243s] [ 44%] 2023-07-07T20:07:37.6987300Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6988120Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.6988554Z PASSED [0.0059s] [ 45%] 2023-07-07T20:07:37.6988849Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_op_fallthrough PASSED [0.0029s] [ 45%] 2023-07-07T20:07:37.6989226Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_opsets_gelu PASSED [0.0033s] [ 45%] 2023-07-07T20:07:37.6989581Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_custom_opsets_inverse PASSED [0.0036s] [ 45%] 2023-07-07T20:07:37.6989970Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_ignore_upsample_scale PASSED [0.0245s] [ 45%] 2023-07-07T20:07:37.6990373Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_initializers PASSED [0.0211s] [ 45%] 2023-07-07T20:07:37.6990798Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 46%] 2023-07-07T20:07:37.6991240Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_deduplicate_initializers_torchscript PASSED [0.0662s] [ 46%] 2023-07-07T20:07:37.6991711Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6992106Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.6992391Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.6992685Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.6993645Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6994455Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6995013Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.6995981Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.6996734Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.6997117Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.6997286Z 2023-07-07T20:07:37.6997366Z PASSED [0.0072s] [ 46%] 2023-07-07T20:07:37.6997660Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_error_on_data_parallel PASSED [0.0010s] [ 46%] 2023-07-07T20:07:37.6998051Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0142s] [ 46%] 2023-07-07T20:07:37.6998474Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_export_mode PASSED [0.0090s] [ 46%] 2023-07-07T20:07:37.6998831Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_fuse_conv_bn PASSED [0.0090s] [ 47%] 2023-07-07T20:07:37.6999186Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_fuse_resnet18 PASSED [0.4104s] [ 47%] 2023-07-07T20:07:37.6999528Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_is_in_onnx_export PASSED [0.0015s] [ 47%] 2023-07-07T20:07:37.6999996Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function SKIPPED [0.0008s] (Unsupported opset_version: 13 < 15) [ 47%] 2023-07-07T20:07:37.7000449Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function_infer_scopes SKIPPED [0.0008s] (Unsupported opset_version: 13 > 1) [ 47%] 2023-07-07T20:07:37.7000908Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function_overloads SKIPPED [0.0007s] (Unsupported opset_version: 13 < 15) [ 47%] 2023-07-07T20:07:37.7001365Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_local_function_predefined_attributes SKIPPED [0.0007s] (Unsupported opset_version: 13 < 15) [ 47%] 2023-07-07T20:07:37.7001812Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_modifying_params SKIPPED [0.0007s] (Caffe2 is not available) [ 48%] 2023-07-07T20:07:37.7002191Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_node_scope PASSED [0.0584s] [ 48%] 2023-07-07T20:07:37.7002551Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_fallthrough PASSED [0.0035s] [ 48%] 2023-07-07T20:07:37.7002924Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_function_substitution_pass PASSED [0.0045s] [ 48%] 2023-07-07T20:07:37.7003301Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_node_naming PASSED [0.0273s] [ 48%] 2023-07-07T20:07:37.7003655Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_onnx_value_name PASSED [0.0064s] [ 48%] 2023-07-07T20:07:37.7004045Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_prim_fallthrough SKIPPED [0.0008s] (Unsupported opset_version: 13 > 10) [ 49%] 2023-07-07T20:07:37.7004622Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_register_aten_custom_op_symbolic PASSED [0.0029s] [ 49%] 2023-07-07T20:07:37.7005078Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0056s] [ 49%] 2023-07-07T20:07:37.7005493Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0069s] [ 49%] 2023-07-07T20:07:37.7005963Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_scripting_param PASSED [0.0279s] [ 49%] 2023-07-07T20:07:37.7006322Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_sequence_dim PASSED [0.0091s] [ 49%] 2023-07-07T20:07:37.7006675Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_split_to_slice PASSED [0.0096s] [ 50%] 2023-07-07T20:07:37.7007041Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_unused_initializers PASSED [0.0733s] [ 50%] 2023-07-07T20:07:37.7007434Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 50%] 2023-07-07T20:07:37.7007895Z onnx/test_utility_funs.py::TestUtilityFuns_opset_13::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.7008424Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.7008780Z return (%1) 2023-07-07T20:07:37.7008888Z 2023-07-07T20:07:37.7008952Z PASSED [0.0047s] [ 50%] 2023-07-07T20:07:37.7009236Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_aten_fallthrough PASSED [0.0024s] [ 50%] 2023-07-07T20:07:37.7009606Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_autograd_module_name PASSED [0.0042s] [ 50%] 2023-07-07T20:07:37.7010020Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_autograd_onnx_fallthrough PASSED [0.0024s] [ 51%] 2023-07-07T20:07:37.7010396Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_bad_symbolic_registration PASSED [0.0024s] [ 51%] 2023-07-07T20:07:37.7010770Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_add PASSED [0.0054s] [ 51%] 2023-07-07T20:07:37.7011221Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_concat PASSED [0.0099s] [ 51%] 2023-07-07T20:07:37.7011579Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_div PASSED [0.0050s] [ 51%] 2023-07-07T20:07:37.7011943Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_gather PASSED [0.0096s] [ 51%] 2023-07-07T20:07:37.7012308Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_lstm PASSED [0.0190s] [ 52%] 2023-07-07T20:07:37.7012668Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_mul PASSED [0.0053s] [ 52%] 2023-07-07T20:07:37.7013025Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_reduceL1 PASSED [0.0087s] [ 52%] 2023-07-07T20:07:37.7013400Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_reduceL2 PASSED [0.0094s] [ 52%] 2023-07-07T20:07:37.7013773Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_reshape PASSED [0.0049s] [ 52%] 2023-07-07T20:07:37.7014149Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_shape PASSED [0.0045s] [ 52%] 2023-07-07T20:07:37.7014509Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_slice PASSED [0.0070s] [ 52%] 2023-07-07T20:07:37.7014894Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_slice_index_exceeds_dim PASSED [0.0075s] [ 53%] 2023-07-07T20:07:37.7015298Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_slice_negative_index PASSED [0.0102s] [ 53%] 2023-07-07T20:07:37.7015683Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_sqrt PASSED [0.0033s] [ 53%] 2023-07-07T20:07:37.7016048Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_squeeze_with_axes PASSED [0.0060s] [ 53%] 2023-07-07T20:07:37.7016440Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_squeeze_without_axes PASSED [0.0067s] [ 53%] 2023-07-07T20:07:37.7016816Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_sub PASSED [0.0060s] [ 53%] 2023-07-07T20:07:37.7017210Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_transpose PASSED [0.0061s] [ 54%] 2023-07-07T20:07:37.7017594Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_transpose_matmul PASSED [0.0038s] [ 54%] 2023-07-07T20:07:37.7017977Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_unsqueeze PASSED [0.0059s] [ 54%] 2023-07-07T20:07:37.7018371Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_unsqueeze_multi_axies PASSED [0.0095s] [ 54%] 2023-07-07T20:07:37.7018768Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0266s] [ 54%] 2023-07-07T20:07:37.7019416Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7020195Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7020624Z PASSED [0.0055s] [ 54%] 2023-07-07T20:07:37.7020916Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_op_fallthrough PASSED [0.0029s] [ 55%] 2023-07-07T20:07:37.7021305Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_opsets_gelu PASSED [0.0031s] [ 55%] 2023-07-07T20:07:37.7021679Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_custom_opsets_inverse PASSED [0.0035s] [ 55%] 2023-07-07T20:07:37.7022065Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_ignore_upsample_scale PASSED [0.0301s] [ 55%] 2023-07-07T20:07:37.7022527Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_initializers PASSED [0.0209s] [ 55%] 2023-07-07T20:07:37.7022951Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 55%] 2023-07-07T20:07:37.7023388Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_deduplicate_initializers_torchscript PASSED [0.0663s] [ 56%] 2023-07-07T20:07:37.7023853Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7024247Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7024532Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.7024826Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.7025792Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7026568Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7027024Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7027997Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7028768Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.7029187Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.7029353Z 2023-07-07T20:07:37.7029432Z PASSED [0.0092s] [ 56%] 2023-07-07T20:07:37.7029713Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_error_on_data_parallel PASSED [0.0010s] [ 56%] 2023-07-07T20:07:37.7030125Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0143s] [ 56%] 2023-07-07T20:07:37.7030514Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_export_mode PASSED [0.0102s] [ 56%] 2023-07-07T20:07:37.7030897Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_fuse_conv_bn PASSED [0.0093s] [ 56%] 2023-07-07T20:07:37.7031233Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_fuse_resnet18 PASSED [0.4122s] [ 57%] 2023-07-07T20:07:37.7031588Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_is_in_onnx_export PASSED [0.0014s] [ 57%] 2023-07-07T20:07:37.7031997Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function SKIPPED [0.0008s] (Unsupported opset_version: 14 < 15) [ 57%] 2023-07-07T20:07:37.7032445Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function_infer_scopes SKIPPED [0.0008s] (Unsupported opset_version: 14 > 1) [ 57%] 2023-07-07T20:07:37.7032889Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function_overloads SKIPPED [0.0007s] (Unsupported opset_version: 14 < 15) [ 57%] 2023-07-07T20:07:37.7033393Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_local_function_predefined_attributes SKIPPED [0.0007s] (Unsupported opset_version: 14 < 15) [ 57%] 2023-07-07T20:07:37.7033849Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_modifying_params SKIPPED [0.0011s] (Caffe2 is not available) [ 58%] 2023-07-07T20:07:37.7034235Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_node_scope PASSED [0.0843s] [ 58%] 2023-07-07T20:07:37.7034649Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_fallthrough PASSED [0.0035s] [ 58%] 2023-07-07T20:07:37.7035129Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_function_substitution_pass PASSED [0.0045s] [ 58%] 2023-07-07T20:07:37.7035511Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_node_naming PASSED [0.0272s] [ 58%] 2023-07-07T20:07:37.7035855Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_onnx_value_name PASSED [0.0065s] [ 58%] 2023-07-07T20:07:37.7036261Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_prim_fallthrough SKIPPED [0.0008s] (Unsupported opset_version: 14 > 10) [ 58%] 2023-07-07T20:07:37.7036681Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_register_aten_custom_op_symbolic PASSED [0.0030s] [ 59%] 2023-07-07T20:07:37.7037088Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0054s] [ 59%] 2023-07-07T20:07:37.7037490Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0072s] [ 59%] 2023-07-07T20:07:37.7037872Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_scripting_param PASSED [0.0285s] [ 59%] 2023-07-07T20:07:37.7038233Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_sequence_dim PASSED [0.0094s] [ 59%] 2023-07-07T20:07:37.7038591Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_split_to_slice PASSED [0.0098s] [ 59%] 2023-07-07T20:07:37.7038944Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_unused_initializers PASSED [0.0731s] [ 60%] 2023-07-07T20:07:37.7039344Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 60%] 2023-07-07T20:07:37.7039801Z onnx/test_utility_funs.py::TestUtilityFuns_opset_14::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.7040337Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.7040723Z return (%1) 2023-07-07T20:07:37.7040832Z 2023-07-07T20:07:37.7040910Z PASSED [0.0048s] [ 60%] 2023-07-07T20:07:37.7041194Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_aten_fallthrough PASSED [0.0024s] [ 60%] 2023-07-07T20:07:37.7041567Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_autograd_module_name PASSED [0.0042s] [ 60%] 2023-07-07T20:07:37.7041935Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_autograd_onnx_fallthrough PASSED [0.0024s] [ 60%] 2023-07-07T20:07:37.7042320Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_bad_symbolic_registration PASSED [0.0024s] [ 61%] 2023-07-07T20:07:37.7042688Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_add PASSED [0.0056s] [ 61%] 2023-07-07T20:07:37.7043055Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_concat PASSED [0.0102s] [ 61%] 2023-07-07T20:07:37.7043411Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_div PASSED [0.0051s] [ 61%] 2023-07-07T20:07:37.7043775Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_gather PASSED [0.0093s] [ 61%] 2023-07-07T20:07:37.7044141Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_lstm PASSED [0.0192s] [ 61%] 2023-07-07T20:07:37.7044647Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_mul PASSED [0.0052s] [ 62%] 2023-07-07T20:07:37.7045080Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_reduceL1 PASSED [0.0098s] [ 62%] 2023-07-07T20:07:37.7045458Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_reduceL2 PASSED [0.0138s] [ 62%] 2023-07-07T20:07:37.7045831Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_reshape PASSED [0.0060s] [ 62%] 2023-07-07T20:07:37.7046288Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_shape PASSED [0.0056s] [ 62%] 2023-07-07T20:07:37.7046662Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_slice PASSED [0.0088s] [ 62%] 2023-07-07T20:07:37.7047045Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_slice_index_exceeds_dim PASSED [0.0075s] [ 63%] 2023-07-07T20:07:37.7047446Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_slice_negative_index PASSED [0.0102s] [ 63%] 2023-07-07T20:07:37.7047817Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_sqrt PASSED [0.0033s] [ 63%] 2023-07-07T20:07:37.7048200Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_squeeze_with_axes PASSED [0.0062s] [ 63%] 2023-07-07T20:07:37.7048599Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_squeeze_without_axes PASSED [0.0068s] [ 63%] 2023-07-07T20:07:37.7048980Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_sub PASSED [0.0060s] [ 63%] 2023-07-07T20:07:37.7049343Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_transpose PASSED [0.0061s] [ 64%] 2023-07-07T20:07:37.7061138Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_transpose_matmul PASSED [0.0038s] [ 64%] 2023-07-07T20:07:37.7061662Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_unsqueeze PASSED [0.0060s] [ 64%] 2023-07-07T20:07:37.7062053Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_unsqueeze_multi_axies PASSED [0.0095s] [ 64%] 2023-07-07T20:07:37.7062479Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0204s] [ 64%] 2023-07-07T20:07:37.7063137Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7064074Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7064506Z PASSED [0.0055s] [ 64%] 2023-07-07T20:07:37.7064785Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_op_fallthrough PASSED [0.0028s] [ 64%] 2023-07-07T20:07:37.7065160Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_opsets_gelu PASSED [0.0032s] [ 65%] 2023-07-07T20:07:37.7065532Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_custom_opsets_inverse PASSED [0.0036s] [ 65%] 2023-07-07T20:07:37.7065921Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_ignore_upsample_scale PASSED [0.0281s] [ 65%] 2023-07-07T20:07:37.7066310Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_initializers PASSED [0.0208s] [ 65%] 2023-07-07T20:07:37.7066748Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 65%] 2023-07-07T20:07:37.7067188Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_deduplicate_initializers_torchscript PASSED [0.0663s] [ 65%] 2023-07-07T20:07:37.7067651Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7068079Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7068376Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.7068669Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.7069698Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7070506Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7070975Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7071935Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7072705Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.7073085Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.7073253Z 2023-07-07T20:07:37.7073320Z PASSED [0.0073s] [ 66%] 2023-07-07T20:07:37.7073612Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_error_on_data_parallel PASSED [0.0013s] [ 66%] 2023-07-07T20:07:37.7074018Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0203s] [ 66%] 2023-07-07T20:07:37.7074405Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_export_mode PASSED [0.0138s] [ 66%] 2023-07-07T20:07:37.7074830Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_fuse_conv_bn PASSED [0.0134s] [ 66%] 2023-07-07T20:07:37.7075196Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_fuse_resnet18 PASSED [0.4406s] [ 66%] 2023-07-07T20:07:37.7075553Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_is_in_onnx_export PASSED [0.0015s] [ 67%] 2023-07-07T20:07:37.7075959Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function PASSED [0.0794s] [ 67%] 2023-07-07T20:07:37.7076355Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function_infer_scopes SKIPPED [0.0009s] (Unsupported opset_version: 15 > 1) [ 67%] 2023-07-07T20:07:37.7076775Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function_overloads PASSED [0.0066s] [ 67%] 2023-07-07T20:07:37.7077174Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_local_function_predefined_attributes PASSED [0.0160s] [ 67%] 2023-07-07T20:07:37.7077588Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_modifying_params SKIPPED [0.0008s] (Caffe2 is not available) [ 67%] 2023-07-07T20:07:37.7077958Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_node_scope PASSED [0.0585s] [ 68%] 2023-07-07T20:07:37.7078315Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_fallthrough PASSED [0.0034s] [ 68%] 2023-07-07T20:07:37.7078703Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_function_substitution_pass PASSED [0.0045s] [ 68%] 2023-07-07T20:07:37.7079067Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_node_naming PASSED [0.0267s] [ 68%] 2023-07-07T20:07:37.7079423Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_onnx_value_name PASSED [0.0064s] [ 68%] 2023-07-07T20:07:37.7079826Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_prim_fallthrough SKIPPED [0.0008s] (Unsupported opset_version: 15 > 10) [ 68%] 2023-07-07T20:07:37.7080277Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_register_aten_custom_op_symbolic PASSED [0.0031s] [ 69%] 2023-07-07T20:07:37.7080679Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0054s] [ 69%] 2023-07-07T20:07:37.7081087Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0069s] [ 69%] 2023-07-07T20:07:37.7081535Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_scripting_param PASSED [0.0373s] [ 69%] 2023-07-07T20:07:37.7081895Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_sequence_dim PASSED [0.0159s] [ 69%] 2023-07-07T20:07:37.7082233Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_split_to_slice PASSED [0.0098s] [ 69%] 2023-07-07T20:07:37.7082594Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_unused_initializers PASSED [0.0732s] [ 70%] 2023-07-07T20:07:37.7082997Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 70%] 2023-07-07T20:07:37.7083454Z onnx/test_utility_funs.py::TestUtilityFuns_opset_15::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.7083976Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.7084334Z return (%1) 2023-07-07T20:07:37.7084599Z 2023-07-07T20:07:37.7084678Z PASSED [0.0047s] [ 70%] 2023-07-07T20:07:37.7084965Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_aten_fallthrough PASSED [0.0025s] [ 70%] 2023-07-07T20:07:37.7085320Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_autograd_module_name PASSED [0.0042s] [ 70%] 2023-07-07T20:07:37.7085701Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_autograd_onnx_fallthrough PASSED [0.0024s] [ 70%] 2023-07-07T20:07:37.7086085Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_bad_symbolic_registration PASSED [0.0024s] [ 70%] 2023-07-07T20:07:37.7086443Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_add PASSED [0.0055s] [ 71%] 2023-07-07T20:07:37.7086804Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_concat PASSED [0.0099s] [ 71%] 2023-07-07T20:07:37.7087175Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_div PASSED [0.0050s] [ 71%] 2023-07-07T20:07:37.7087600Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_gather PASSED [0.0098s] [ 71%] 2023-07-07T20:07:37.7087952Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_lstm PASSED [0.0191s] [ 71%] 2023-07-07T20:07:37.7088311Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_mul PASSED [0.0054s] [ 71%] 2023-07-07T20:07:37.7088682Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_reduceL1 PASSED [0.0084s] [ 72%] 2023-07-07T20:07:37.7089057Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_reduceL2 PASSED [0.0092s] [ 72%] 2023-07-07T20:07:37.7089419Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_reshape PASSED [0.0047s] [ 72%] 2023-07-07T20:07:37.7089788Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_shape PASSED [0.0044s] [ 72%] 2023-07-07T20:07:37.7090156Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_slice PASSED [0.0069s] [ 72%] 2023-07-07T20:07:37.7090528Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_slice_index_exceeds_dim PASSED [0.0073s] [ 72%] 2023-07-07T20:07:37.7090929Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_slice_negative_index PASSED [0.0102s] [ 73%] 2023-07-07T20:07:37.7091305Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_sqrt PASSED [0.0032s] [ 73%] 2023-07-07T20:07:37.7091722Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_squeeze_with_axes PASSED [0.0060s] [ 73%] 2023-07-07T20:07:37.7092107Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_squeeze_without_axes PASSED [0.0066s] [ 73%] 2023-07-07T20:07:37.7092486Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_sub PASSED [0.0056s] [ 73%] 2023-07-07T20:07:37.7092935Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_transpose PASSED [0.0064s] [ 73%] 2023-07-07T20:07:37.7093329Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_transpose_matmul PASSED [0.0038s] [ 74%] 2023-07-07T20:07:37.7093703Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_unsqueeze PASSED [0.0060s] [ 74%] 2023-07-07T20:07:37.7094097Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_unsqueeze_multi_axies PASSED [0.0096s] [ 74%] 2023-07-07T20:07:37.7094510Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0246s] [ 74%] 2023-07-07T20:07:37.7095158Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7095943Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7096363Z PASSED [0.0080s] [ 74%] 2023-07-07T20:07:37.7096650Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_op_fallthrough PASSED [0.0040s] [ 74%] 2023-07-07T20:07:37.7097024Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_opsets_gelu PASSED [0.0046s] [ 75%] 2023-07-07T20:07:37.7097385Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_custom_opsets_inverse PASSED [0.0052s] [ 75%] 2023-07-07T20:07:37.7097774Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_ignore_upsample_scale PASSED [0.0292s] [ 75%] 2023-07-07T20:07:37.7098172Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_initializers PASSED [0.0215s] [ 75%] 2023-07-07T20:07:37.7098606Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 75%] 2023-07-07T20:07:37.7099084Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_deduplicate_initializers_torchscript PASSED [0.0665s] [ 75%] 2023-07-07T20:07:37.7099551Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7099945Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7100241Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.7100522Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.7101490Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7102271Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7102739Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7103726Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7104493Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.7104959Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.7105130Z 2023-07-07T20:07:37.7105207Z PASSED [0.0091s] [ 76%] 2023-07-07T20:07:37.7105502Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_error_on_data_parallel PASSED [0.0009s] [ 76%] 2023-07-07T20:07:37.7105906Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0145s] [ 76%] 2023-07-07T20:07:37.7106281Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_export_mode PASSED [0.0090s] [ 76%] 2023-07-07T20:07:37.7106633Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_fuse_conv_bn PASSED [0.0092s] [ 76%] 2023-07-07T20:07:37.7106985Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_fuse_resnet18 PASSED [0.4090s] [ 76%] 2023-07-07T20:07:37.7107328Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_is_in_onnx_export PASSED [0.0015s] [ 76%] 2023-07-07T20:07:37.7107689Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function PASSED [0.0785s] [ 77%] 2023-07-07T20:07:37.7108111Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function_infer_scopes SKIPPED [0.0009s] (Unsupported opset_version: 16 > 1) [ 77%] 2023-07-07T20:07:37.7108530Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function_overloads PASSED [0.0065s] [ 77%] 2023-07-07T20:07:37.7108917Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_local_function_predefined_attributes PASSED [0.0160s] [ 77%] 2023-07-07T20:07:37.7109327Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_modifying_params SKIPPED [0.0008s] (Caffe2 is not available) [ 77%] 2023-07-07T20:07:37.7109710Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_node_scope PASSED [0.0576s] [ 77%] 2023-07-07T20:07:37.7110066Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_fallthrough PASSED [0.0034s] [ 78%] 2023-07-07T20:07:37.7110435Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_function_substitution_pass PASSED [0.0045s] [ 78%] 2023-07-07T20:07:37.7110845Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_node_naming PASSED [0.0269s] [ 78%] 2023-07-07T20:07:37.7111195Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_onnx_value_name PASSED [0.0063s] [ 78%] 2023-07-07T20:07:37.7111596Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_prim_fallthrough SKIPPED [0.0008s] (Unsupported opset_version: 16 > 10) [ 78%] 2023-07-07T20:07:37.7111999Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_register_aten_custom_op_symbolic PASSED [0.0029s] [ 78%] 2023-07-07T20:07:37.7112407Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0054s] [ 79%] 2023-07-07T20:07:37.7112818Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0069s] [ 79%] 2023-07-07T20:07:37.7113196Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_scripting_param PASSED [0.0279s] [ 79%] 2023-07-07T20:07:37.7113543Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_sequence_dim PASSED [0.0090s] [ 79%] 2023-07-07T20:07:37.7113892Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_split_to_slice PASSED [0.0096s] [ 79%] 2023-07-07T20:07:37.7114255Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_unused_initializers PASSED [0.0756s] [ 79%] 2023-07-07T20:07:37.7114645Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 80%] 2023-07-07T20:07:37.7115222Z onnx/test_utility_funs.py::TestUtilityFuns_opset_16::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.7115756Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.7116141Z return (%1) 2023-07-07T20:07:37.7116248Z 2023-07-07T20:07:37.7116359Z PASSED [0.0047s] [ 80%] 2023-07-07T20:07:37.7116636Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_aten_fallthrough PASSED [0.0025s] [ 80%] 2023-07-07T20:07:37.7117003Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_autograd_module_name PASSED [0.0042s] [ 80%] 2023-07-07T20:07:37.7117381Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_autograd_onnx_fallthrough PASSED [0.0024s] [ 80%] 2023-07-07T20:07:37.7117756Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_bad_symbolic_registration PASSED [0.0024s] [ 80%] 2023-07-07T20:07:37.7118127Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_add PASSED [0.0055s] [ 81%] 2023-07-07T20:07:37.7118492Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_concat PASSED [0.0099s] [ 81%] 2023-07-07T20:07:37.7118858Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_div PASSED [0.0050s] [ 81%] 2023-07-07T20:07:37.7119213Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_gather PASSED [0.0097s] [ 81%] 2023-07-07T20:07:37.7119578Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_lstm PASSED [0.0192s] [ 81%] 2023-07-07T20:07:37.7120052Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_mul PASSED [0.0053s] [ 81%] 2023-07-07T20:07:37.7120460Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_reduceL1 PASSED [0.0085s] [ 82%] 2023-07-07T20:07:37.7120824Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_reduceL2 PASSED [0.0092s] [ 82%] 2023-07-07T20:07:37.7121194Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_reshape PASSED [0.0048s] [ 82%] 2023-07-07T20:07:37.7121565Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_shape PASSED [0.0044s] [ 82%] 2023-07-07T20:07:37.7121916Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_slice PASSED [0.0071s] [ 82%] 2023-07-07T20:07:37.7122346Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_slice_index_exceeds_dim PASSED [0.0108s] [ 82%] 2023-07-07T20:07:37.7122750Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_slice_negative_index PASSED [0.0142s] [ 82%] 2023-07-07T20:07:37.7123127Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_sqrt PASSED [0.0035s] [ 83%] 2023-07-07T20:07:37.7123492Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_squeeze_with_axes PASSED [0.0063s] [ 83%] 2023-07-07T20:07:37.7123887Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_squeeze_without_axes PASSED [0.0069s] [ 83%] 2023-07-07T20:07:37.7124263Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_sub PASSED [0.0058s] [ 83%] 2023-07-07T20:07:37.7124788Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_transpose PASSED [0.0065s] [ 83%] 2023-07-07T20:07:37.7125168Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_transpose_matmul PASSED [0.0039s] [ 83%] 2023-07-07T20:07:37.7125552Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_unsqueeze PASSED [0.0061s] [ 84%] 2023-07-07T20:07:37.7125944Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_unsqueeze_multi_axies PASSED [0.0095s] [ 84%] 2023-07-07T20:07:37.7126358Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0243s] [ 84%] 2023-07-07T20:07:37.7127059Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7127887Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7128363Z PASSED [0.0058s] [ 84%] 2023-07-07T20:07:37.7128654Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_op_fallthrough PASSED [0.0027s] [ 84%] 2023-07-07T20:07:37.7129013Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_opsets_gelu PASSED [0.0031s] [ 84%] 2023-07-07T20:07:37.7129378Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_custom_opsets_inverse PASSED [0.0035s] [ 85%] 2023-07-07T20:07:37.7129763Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_ignore_upsample_scale PASSED [0.0228s] [ 85%] 2023-07-07T20:07:37.7130162Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_initializers PASSED [0.0207s] [ 85%] 2023-07-07T20:07:37.7130579Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 85%] 2023-07-07T20:07:37.7131026Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_deduplicate_initializers_torchscript PASSED [0.0658s] [ 85%] 2023-07-07T20:07:37.7131491Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7131885Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7132166Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.7132462Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.7133439Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7134255Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7134721Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7135676Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7136440Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.7136812Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.7136982Z 2023-07-07T20:07:37.7137062Z PASSED [0.0073s] [ 85%] 2023-07-07T20:07:37.7137355Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_error_on_data_parallel PASSED [0.0010s] [ 86%] 2023-07-07T20:07:37.7137747Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0148s] [ 86%] 2023-07-07T20:07:37.7138131Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_export_mode PASSED [0.0093s] [ 86%] 2023-07-07T20:07:37.7138480Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_fuse_conv_bn PASSED [0.0091s] [ 86%] 2023-07-07T20:07:37.7138848Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_fuse_resnet18 PASSED [0.3946s] [ 86%] 2023-07-07T20:07:37.7139203Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_is_in_onnx_export PASSED [0.0015s] [ 86%] 2023-07-07T20:07:37.7139562Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function PASSED [0.0466s] [ 87%] 2023-07-07T20:07:37.7140055Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function_infer_scopes SKIPPED [0.0009s] (Unsupported opset_version: 17 > 1) [ 87%] 2023-07-07T20:07:37.7140464Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function_overloads PASSED [0.0065s] [ 87%] 2023-07-07T20:07:37.7140856Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_local_function_predefined_attributes PASSED [0.0079s] [ 87%] 2023-07-07T20:07:37.7141271Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_modifying_params SKIPPED [0.0007s] (Caffe2 is not available) [ 87%] 2023-07-07T20:07:37.7141652Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_node_scope PASSED [0.0426s] [ 87%] 2023-07-07T20:07:37.7141998Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_fallthrough PASSED [0.0035s] [ 88%] 2023-07-07T20:07:37.7142377Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_function_substitution_pass PASSED [0.0046s] [ 88%] 2023-07-07T20:07:37.7142754Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_node_naming PASSED [0.0273s] [ 88%] 2023-07-07T20:07:37.7143111Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_onnx_value_name PASSED [0.0066s] [ 88%] 2023-07-07T20:07:37.7143509Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_prim_fallthrough SKIPPED [0.0008s] (Unsupported opset_version: 17 > 10) [ 88%] 2023-07-07T20:07:37.7143924Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_register_aten_custom_op_symbolic PASSED [0.0030s] [ 88%] 2023-07-07T20:07:37.7144333Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0055s] [ 88%] 2023-07-07T20:07:37.7144733Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0072s] [ 89%] 2023-07-07T20:07:37.7145111Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_scripting_param PASSED [0.0277s] [ 89%] 2023-07-07T20:07:37.7145469Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_sequence_dim PASSED [0.0092s] [ 89%] 2023-07-07T20:07:37.7145862Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_split_to_slice PASSED [0.0097s] [ 89%] 2023-07-07T20:07:37.7146214Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_unused_initializers PASSED [0.0734s] [ 89%] 2023-07-07T20:07:37.7146615Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 89%] 2023-07-07T20:07:37.7147075Z onnx/test_utility_funs.py::TestUtilityFuns_opset_17::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.7147604Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.7147946Z return (%1) 2023-07-07T20:07:37.7148054Z 2023-07-07T20:07:37.7148131Z PASSED [0.0048s] [ 90%] 2023-07-07T20:07:37.7148418Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_aten_fallthrough PASSED [0.0025s] [ 90%] 2023-07-07T20:07:37.7148789Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_autograd_module_name PASSED [0.0042s] [ 90%] 2023-07-07T20:07:37.7149154Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_autograd_onnx_fallthrough PASSED [0.0025s] [ 90%] 2023-07-07T20:07:37.7149539Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_bad_symbolic_registration PASSED [0.0024s] [ 90%] 2023-07-07T20:07:37.7149937Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_add PASSED [0.0055s] [ 90%] 2023-07-07T20:07:37.7150305Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_concat PASSED [0.0144s] [ 91%] 2023-07-07T20:07:37.7150658Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_div PASSED [0.0072s] [ 91%] 2023-07-07T20:07:37.7151017Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_gather PASSED [0.0132s] [ 91%] 2023-07-07T20:07:37.7151451Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_lstm PASSED [0.0270s] [ 91%] 2023-07-07T20:07:37.7151801Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_mul PASSED [0.0077s] [ 91%] 2023-07-07T20:07:37.7152168Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_reduceL1 PASSED [0.0125s] [ 91%] 2023-07-07T20:07:37.7152541Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_reduceL2 PASSED [0.0135s] [ 92%] 2023-07-07T20:07:37.7152914Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_reshape PASSED [0.0070s] [ 92%] 2023-07-07T20:07:37.7153274Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_shape PASSED [0.0064s] [ 92%] 2023-07-07T20:07:37.7153636Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_slice PASSED [0.0103s] [ 92%] 2023-07-07T20:07:37.7154017Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_slice_index_exceeds_dim PASSED [0.0108s] [ 92%] 2023-07-07T20:07:37.7154423Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_slice_negative_index PASSED [0.0132s] [ 92%] 2023-07-07T20:07:37.7154873Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_sqrt PASSED [0.0034s] [ 93%] 2023-07-07T20:07:37.7155254Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_squeeze_with_axes PASSED [0.0062s] [ 93%] 2023-07-07T20:07:37.7155651Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_squeeze_without_axes PASSED [0.0069s] [ 93%] 2023-07-07T20:07:37.7156032Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_sub PASSED [0.0057s] [ 93%] 2023-07-07T20:07:37.7156390Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_transpose PASSED [0.0064s] [ 93%] 2023-07-07T20:07:37.7156776Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_transpose_matmul PASSED [0.0039s] [ 93%] 2023-07-07T20:07:37.7157203Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_unsqueeze PASSED [0.0060s] [ 94%] 2023-07-07T20:07:37.7157578Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_unsqueeze_multi_axies PASSED [0.0095s] [ 94%] 2023-07-07T20:07:37.7157988Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_constant_fold_upsample_scale_fold_as_constant PASSED [0.0277s] [ 94%] 2023-07-07T20:07:37.7158642Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_layer_tuple [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7159422Z [W shape_type_inference.cpp:1960] Warning: The shape inference of CustomNamespace::Custom type is missing, so it may result in wrong shape inference for the exported graph. Please consider adding it in symbolic function. (function UpdateReliable) 2023-07-07T20:07:37.7159857Z PASSED [0.0073s] [ 94%] 2023-07-07T20:07:37.7160135Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_op_fallthrough PASSED [0.0029s] [ 94%] 2023-07-07T20:07:37.7160503Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_opsets_gelu PASSED [0.0032s] [ 94%] 2023-07-07T20:07:37.7160873Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_custom_opsets_inverse PASSED [0.0038s] [ 94%] 2023-07-07T20:07:37.7161298Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_ignore_upsample_scale PASSED [0.0282s] [ 95%] 2023-07-07T20:07:37.7161685Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_initializers PASSED [0.0209s] [ 95%] 2023-07-07T20:07:37.7162120Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_initializers_diff_devices SKIPPED [0.0009s] (CUDA is not available) [ 95%] 2023-07-07T20:07:37.7162594Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_deduplicate_initializers_torchscript PASSED [0.0661s] [ 95%] 2023-07-07T20:07:37.7163096Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_duplicated_output_node Exported graph: graph(%input0 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7163476Z %input1 : Float(*, *, strides=[784, 1], requires_grad=0, device=cpu), 2023-07-07T20:07:37.7163772Z %fc1.weight : Float(10, 784, strides=[784, 1], requires_grad=1, device=cpu), 2023-07-07T20:07:37.7164070Z %fc1.bias : Float(10, strides=[1], requires_grad=1, device=cpu)): 2023-07-07T20:07:37.7165193Z %output-0 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1/Gemm"](%input0, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7165965Z %output-3 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7166433Z %output-1 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-0) 2023-07-07T20:07:37.7167395Z %output-2 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Gemm[alpha=1., beta=1., transB=1, onnx_name="/fc1_1/Gemm"](%input1, %fc1.weight, %fc1.bias), scope: __main__.TestUtilityFuns.test_duplicated_output_node..DuplicatedOutputNet::/torch.nn.modules.linear.Linear::fc1 # /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/linear.py:114:0 2023-07-07T20:07:37.7168160Z %output-4 : Float(*, 10, strides=[10, 1], requires_grad=1, device=cpu) = onnx::Identity(%output-2) 2023-07-07T20:07:37.7168534Z return (%output-0, %output-1, %output-2, %output-3, %output-4) 2023-07-07T20:07:37.7168698Z 2023-07-07T20:07:37.7168762Z PASSED [0.0073s] [ 95%] 2023-07-07T20:07:37.7169058Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_error_on_data_parallel PASSED [0.0010s] [ 95%] 2023-07-07T20:07:37.7169532Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_export_does_not_fail_on_frozen_scripted_module PASSED [0.0147s] [ 96%] 2023-07-07T20:07:37.7169918Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_export_mode PASSED [0.0090s] [ 96%] 2023-07-07T20:07:37.7170256Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_fuse_conv_bn PASSED [0.0093s] [ 96%] 2023-07-07T20:07:37.7170610Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_fuse_resnet18 PASSED [0.5223s] [ 96%] 2023-07-07T20:07:37.7170969Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_is_in_onnx_export PASSED [0.0015s] [ 96%] 2023-07-07T20:07:37.7171329Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function PASSED [0.0508s] [ 96%] 2023-07-07T20:07:37.7171730Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function_infer_scopes SKIPPED [0.0009s] (Unsupported opset_version: 18 > 1) [ 97%] 2023-07-07T20:07:37.7172157Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function_overloads PASSED [0.0070s] [ 97%] 2023-07-07T20:07:37.7172554Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_local_function_predefined_attributes PASSED [0.0086s] [ 97%] 2023-07-07T20:07:37.7172970Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_modifying_params SKIPPED [0.0008s] (Caffe2 is not available) [ 97%] 2023-07-07T20:07:37.7173335Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_node_scope PASSED [0.0444s] [ 97%] 2023-07-07T20:07:37.7173731Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_fallthrough PASSED [0.0034s] [ 97%] 2023-07-07T20:07:37.7174115Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_function_substitution_pass PASSED [0.0044s] [ 98%] 2023-07-07T20:07:37.7174480Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_node_naming PASSED [0.0287s] [ 98%] 2023-07-07T20:07:37.7174913Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_onnx_value_name PASSED [0.0071s] [ 98%] 2023-07-07T20:07:37.7175319Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_prim_fallthrough SKIPPED [0.0009s] (Unsupported opset_version: 18 > 10) [ 98%] 2023-07-07T20:07:37.7175736Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_register_aten_custom_op_symbolic PASSED [0.0032s] [ 98%] 2023-07-07T20:07:37.7176131Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_scope_of_constants_when_combined_by_cse_pass PASSED [0.0058s] [ 98%] 2023-07-07T20:07:37.7176548Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_scope_of_nodes_when_combined_by_cse_pass PASSED [0.0074s] [ 99%] 2023-07-07T20:07:37.7176928Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_scripting_param PASSED [0.0299s] [ 99%] 2023-07-07T20:07:37.7177283Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_sequence_dim PASSED [0.0135s] [ 99%] 2023-07-07T20:07:37.7177626Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_split_to_slice PASSED [0.0146s] [ 99%] 2023-07-07T20:07:37.7177991Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_unused_initializers PASSED [0.0702s] [ 99%] 2023-07-07T20:07:37.7178396Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_validate_dynamic_axes_invalid_input_output_name PASSED [0.0010s] [ 99%] 2023-07-07T20:07:37.7178855Z onnx/test_utility_funs.py::TestUtilityFuns_opset_18::test_verbose Exported graph: graph(%onnx::Exp_0 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu)): 2023-07-07T20:07:37.7179376Z %1 : Float(3, 4, strides=[4, 1], requires_grad=0, device=cpu) = onnx::Exp[onnx_name="/Exp"](%onnx::Exp_0), scope: __main__.TestUtilityFuns.test_verbose..MyModule:: # onnx/test_utility_funs.py:723:0 2023-07-07T20:07:37.7179727Z return (%1) 2023-07-07T20:07:37.7179834Z 2023-07-07T20:07:37.7180522Z PASSED [0.0051s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:07:37.7181114Z _C._set_default_tensor_type(t) 2023-07-07T20:07:37.7181407Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:37.7181564Z 2023-07-07T20:07:37.7181569Z 2023-07-07T20:07:37.7181929Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_utility_funs/onnx.test_utility_funs-004e4188ca8ff9a7.xml - 2023-07-07T20:07:37.7182314Z ======================= 557 passed, 60 skipped in 13.17s ======================= 2023-07-07T20:07:37.7182463Z 2023-07-07T20:07:37.7182807Z ##[endgroup] 2023-07-07T20:07:37.7183222Z FINISHED PRINTING LOG FILE of onnx/test_utility_funs 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_utility_funs_t9_g9pwi.log) 2023-07-07T20:07:37.7183462Z 2023-07-07T20:07:37.7183643Z Running onnx/test_custom_ops 1/1 ... [2023-07-07 20:07:37.671722] 2023-07-07T20:07:37.7184381Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_custom_ops.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_custom_ops_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:37.672093] 2023-07-07T20:07:41.1496105Z 2023-07-07T20:07:41.1496748Z Expand the folded group to see the log file of onnx/test_custom_ops 1/1 2023-07-07T20:07:41.1498037Z ##[group]PRINTING LOG FILE of onnx/test_custom_ops 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_custom_ops_fvs7e9x7.log) 2023-07-07T20:07:41.1498737Z Test results will be stored in test-reports/python-pytest/onnx.test_custom_ops/onnx.test_custom_ops-72a9198e52281a2f.xml 2023-07-07T20:07:41.1499076Z ============================= test session starts ============================== 2023-07-07T20:07:41.1499476Z platform linux -- Python 3.8.16, pytest-7.3.2, pluggy-1.2.0 -- /opt/conda/envs/py_3.8/bin/python 2023-07-07T20:07:41.1499896Z cachedir: .pytest_cache 2023-07-07T20:07:41.1500334Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2023-07-07T20:07:41.1500662Z rootdir: /var/lib/jenkins/workspace 2023-07-07T20:07:41.1500892Z configfile: pytest.ini 2023-07-07T20:07:41.1501499Z plugins: hypothesis-5.35.1, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-12.0, shard-0.1.2, xdist-3.3.1, xdoctest-1.1.0, cov-4.0.0, subtests-0.10.0 2023-07-07T20:07:41.1501835Z collecting ... collected 3 items 2023-07-07T20:07:41.1502403Z Running 3 items in this shard: test/onnx/test_custom_ops.py::TestCustomAutogradFunction::test_register_custom_op, test/onnx/test_custom_ops.py::TestCustomAutogradFunction::test_symbolic, test/onnx/test_custom_ops.py::TestExportAsContribOps::test_contrib_op_with_loop 2023-07-07T20:07:41.1502923Z stepcurrent: Cannot find last run test, not skipping 2023-07-07T20:07:41.1503082Z 2023-07-07T20:07:41.1503277Z onnx/test_custom_ops.py::TestCustomAutogradFunction::test_register_custom_op PASSED [0.0613s] [ 33%] 2023-07-07T20:07:41.1503658Z onnx/test_custom_ops.py::TestCustomAutogradFunction::test_symbolic PASSED [0.0052s] [ 66%] 2023-07-07T20:07:41.1504817Z onnx/test_custom_ops.py::TestExportAsContribOps::test_contrib_op_with_loop PASSED [0.0824s] [100%]/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:07:41.1505476Z _C._set_default_tensor_type(t) 2023-07-07T20:07:41.1505784Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2023-07-07T20:07:41.1505944Z 2023-07-07T20:07:41.1505949Z 2023-07-07T20:07:41.1506302Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/onnx.test_custom_ops/onnx.test_custom_ops-72a9198e52281a2f.xml - 2023-07-07T20:07:41.1506745Z ============================== 3 passed in 0.22s =============================== 2023-07-07T20:07:41.1506887Z 2023-07-07T20:07:41.1507138Z ##[endgroup] 2023-07-07T20:07:41.1507571Z FINISHED PRINTING LOG FILE of onnx/test_custom_ops 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_custom_ops_fvs7e9x7.log) 2023-07-07T20:07:41.1507815Z 2023-07-07T20:07:41.1508029Z Running onnx/test_models_quantized_onnxruntime 1/1 ... [2023-07-07 20:07:41.150038] 2023-07-07T20:07:41.1508858Z Executing ['/opt/conda/envs/py_3.8/bin/python', '-bb', 'onnx/test_models_quantized_onnxruntime.py', '--shard-id=0', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '--sc=onnx/test_models_quantized_onnxruntime_0', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2023-07-07 20:07:41.150352] 2023-07-07T20:07:44.2058260Z 2023-07-07T20:07:44.2058732Z Expand the folded group to see the log file of onnx/test_models_quantized_onnxruntime 1/1 2023-07-07T20:07:44.2059593Z ##[group]PRINTING LOG FILE of onnx/test_models_quantized_onnxruntime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_models_quantized_onnxruntime_n3cvg0r_.log) 2023-07-07T20:07:44.2060721Z /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/__init__.py:615: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/tensor/python_tensor.cpp:453.) 2023-07-07T20:07:44.2061478Z _C._set_default_tensor_type(t) 2023-07-07T20:07:44.2061617Z 2023-07-07T20:07:44.2061856Z ##[endgroup] 2023-07-07T20:07:44.2062433Z FINISHED PRINTING LOG FILE of onnx/test_models_quantized_onnxruntime 1/1 (/var/lib/jenkins/workspace/test/test-reports/onnx-test_models_quantized_onnxruntime_n3cvg0r_.log) 2023-07-07T20:07:44.2062811Z 2023-07-07T20:07:44.6481898Z 2023-07-07T20:07:44.6482433Z real 12m13.330s 2023-07-07T20:07:44.6482909Z user 50m35.445s 2023-07-07T20:07:44.6483098Z sys 2m13.157s 2023-07-07T20:07:44.6483256Z + [[ 2 == \2 ]] 2023-07-07T20:07:44.6483676Z + xdoctest torch.onnx --style=google --options=+IGNORE_WHITESPACE 2023-07-07T20:07:44.7247754Z 2023-07-07T20:07:44.7248048Z ===================================== 2023-07-07T20:07:44.7248335Z _ _ ___ ____ ____ ___ ____ ____ ___ 2023-07-07T20:07:44.7248531Z \/ | \ | | | | |___ [__ | 2023-07-07T20:07:44.7248723Z _/\_ |__/ |__| |___ | |___ ___] | 2023-07-07T20:07:44.7248841Z 2023-07-07T20:07:44.7248927Z ===================================== 2023-07-07T20:07:44.7249028Z 2023-07-07T20:07:44.7276891Z Start doctest_module('/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx') 2023-07-07T20:07:44.7277175Z Listing tests 2023-07-07T20:07:45.0357939Z gathering tests 2023-07-07T20:07:45.0360310Z running 8 test(s) 2023-07-07T20:07:45.0407607Z ====== ====== 2023-07-07T20:07:45.0408518Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_type_utils.py::JitScalarType:0, line 63 <- wrt source file 2023-07-07T20:07:45.0408902Z DOCTEST SOURCE 2023-07-07T20:07:45.0979267Z 1 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_ONNX) 2023-07-07T20:07:45.0979885Z 2 >>> # xdoctest: +IGNORE_WANT("win32 has different output") 2023-07-07T20:07:45.0980328Z 3 >>> JitScalarType.from_value(torch.ones(1, 2)).onnx_type() 2023-07-07T20:07:45.0980691Z  TensorProtoDataType.FLOAT 2023-07-07T20:07:45.0981055Z 6 >>> JitScalarType.from_value(torch_c_value_with_type_float).onnx_type() 2023-07-07T20:07:45.0981443Z  TensorProtoDataType.FLOAT 2023-07-07T20:07:45.0981950Z 9 >>> JitScalarType.from_dtype(torch.get_default_dtype).onnx_type() 2023-07-07T20:07:45.0982347Z  TensorProtoDataType.FLOAT 2023-07-07T20:07:45.0982903Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:45.0983559Z DOCTEST RESULT 2023-07-07T20:07:45.0984469Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_type_utils.py::JitScalarType:0 2023-07-07T20:07:45.0984809Z ====== ====== 2023-07-07T20:07:45.0985156Z ====== ====== 2023-07-07T20:07:45.0985897Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/verification.py::GraphInfo.pretty_print_tree:0, line 1245 <- wrt source file 2023-07-07T20:07:45.0986312Z DOCTEST SOURCE 2023-07-07T20:07:45.0986442Z 2023-07-07T20:07:45.0986576Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:45.0986890Z DOCTEST RESULT 2023-07-07T20:07:45.0987386Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/verification.py::GraphInfo.pretty_print_tree:0 2023-07-07T20:07:45.0987788Z ====== ====== 2023-07-07T20:07:45.0988034Z ====== ====== 2023-07-07T20:07:45.0988587Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/verification.py::find_mismatch:0, line 1789 <- wrt source file 2023-07-07T20:07:45.0988954Z DOCTEST SOURCE 2023-07-07T20:07:45.1021860Z 2 >>> import torch 2023-07-07T20:07:45.1023026Z 3 >>> import torch.onnx.verification 2023-07-07T20:07:45.1023707Z 4 >>> torch.manual_seed(0) 2023-07-07T20:07:45.1024008Z 5 >>> opset_version = 15 2023-07-07T20:07:45.1024428Z 6 >>> # Define a custom symbolic function for aten::relu. 2023-07-07T20:07:45.1024935Z 7 >>> # The custom symbolic function is incorrect, which will result in mismatches. 2023-07-07T20:07:45.1025436Z 8 >>> def incorrect_relu_symbolic_function(g, self): 2023-07-07T20:07:45.1025769Z 9 ... return self 2023-07-07T20:07:45.1026087Z 10 >>> torch.onnx.register_custom_op_symbolic( 2023-07-07T20:07:45.1026471Z 11 ... "aten::relu", 2023-07-07T20:07:45.1026782Z 12 ... incorrect_relu_symbolic_function, 2023-07-07T20:07:45.1027070Z 13 ... opset_version=opset_version, 2023-07-07T20:07:45.1027312Z 14 ... ) 2023-07-07T20:07:45.1027621Z 15 >>> class Model(torch.nn.Module): 2023-07-07T20:07:45.1027961Z 16 ... def __init__(self): 2023-07-07T20:07:45.1028293Z 17 ... super().__init__() 2023-07-07T20:07:45.1028627Z 18 ... self.layers = torch.nn.Sequential( 2023-07-07T20:07:45.1028975Z 19 ... torch.nn.Linear(3, 4), 2023-07-07T20:07:45.1029255Z 20 ... torch.nn.ReLU(), 2023-07-07T20:07:45.1029577Z 21 ... torch.nn.Linear(4, 5), 2023-07-07T20:07:45.1029864Z 22 ... torch.nn.ReLU(), 2023-07-07T20:07:45.1030177Z 23 ... torch.nn.Linear(5, 6), 2023-07-07T20:07:45.1030434Z 24 ... ) 2023-07-07T20:07:45.1030750Z 25 ... def forward(self, x): 2023-07-07T20:07:45.1031083Z 26 ... return self.layers(x) 2023-07-07T20:07:45.1031432Z 27 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_ONNX) 2023-07-07T20:07:45.1031850Z 28 >>> graph_info = torch.onnx.verification.find_mismatch( 2023-07-07T20:07:45.1032138Z 29 ... Model(), 2023-07-07T20:07:45.1032417Z 30 ... (torch.randn(2, 3),), 2023-07-07T20:07:45.1032712Z 31 ... opset_version=opset_version, 2023-07-07T20:07:45.1032945Z 32 ... ) 2023-07-07T20:07:45.1033235Z  ===================== Mismatch info for graph partition : ====================== 2023-07-07T20:07:45.1033509Z ================================ Mismatch error ================================ 2023-07-07T20:07:45.1033776Z Tensor-likes are not close! 2023-07-07T20:07:45.1033983Z Mismatched elements: 12 / 12 (100.0%) 2023-07-07T20:07:45.1034334Z Greatest absolute difference: 0.2328854203224182 at index (1, 2) (up to 1e-07 allowed) 2023-07-07T20:07:45.1034721Z Greatest relative difference: 0.699536174352349 at index (1, 3) (up to 0.001 allowed) 2023-07-07T20:07:45.1035000Z ==================================== Tree: ===================================== 2023-07-07T20:07:45.1035356Z 5 X __2 X __1 ✓ 2023-07-07T20:07:45.1035542Z id: | id: 0 | id: 00 2023-07-07T20:07:45.1035720Z | | 2023-07-07T20:07:45.1035892Z | |__1 X (aten::relu) 2023-07-07T20:07:45.1036079Z | id: 01 2023-07-07T20:07:45.1036250Z | 2023-07-07T20:07:45.1036422Z |__3 X __1 ✓ 2023-07-07T20:07:45.1038022Z id: 1 | id: 10 2023-07-07T20:07:45.1038293Z | 2023-07-07T20:07:45.1038478Z |__2 X __1 X (aten::relu) 2023-07-07T20:07:45.1038677Z id: 11 | id: 110 2023-07-07T20:07:45.1038861Z | 2023-07-07T20:07:45.1039078Z |__1 ✓ 2023-07-07T20:07:45.1039263Z id: 111 2023-07-07T20:07:45.1039599Z =========================== Mismatch leaf subgraphs: =========================== 2023-07-07T20:07:45.1039841Z ['01', '110'] 2023-07-07T20:07:45.1040058Z ============================= Mismatch node kinds: ============================= 2023-07-07T20:07:45.1040349Z {'aten::relu': 2} 2023-07-07T20:07:45.1040599Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:46.5386616Z DOCTEST RESULT 2023-07-07T20:07:46.5387491Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/verification.py::find_mismatch:0 2023-07-07T20:07:46.5387863Z ====== ====== 2023-07-07T20:07:46.5388119Z ====== ====== 2023-07-07T20:07:46.5388680Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/exporter.py::ExportOutputSerializer.serialize:0, line 205 <- wrt source file 2023-07-07T20:07:46.5389093Z DOCTEST SOURCE 2023-07-07T20:07:46.5389231Z 2023-07-07T20:07:46.5389381Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:46.5389613Z DOCTEST RESULT 2023-07-07T20:07:46.5390141Z * SKIPPED: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/exporter.py::ExportOutputSerializer.serialize:0 2023-07-07T20:07:46.5390526Z ====== ====== 2023-07-07T20:07:46.5390755Z ====== ====== 2023-07-07T20:07:46.5391302Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/exporter.py::ExportOutput.adapt_torch_inputs_to_onnx:0, line 297 <- wrt source file 2023-07-07T20:07:46.5391702Z DOCTEST SOURCE 2023-07-07T20:07:46.5425287Z 3 >>> import torch 2023-07-07T20:07:46.5425919Z 4 >>> import torch.onnx 2023-07-07T20:07:46.5426655Z 5 >>> from typing import Dict, Tuple 2023-07-07T20:07:46.5427558Z 6 >>> def func_with_nested_input_structure( 2023-07-07T20:07:46.5428042Z 7 ... x_dict: Dict[str, torch.Tensor], 2023-07-07T20:07:46.5428744Z 8 ... y_tuple: Tuple[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]] 2023-07-07T20:07:46.5429200Z 9 ... ): 2023-07-07T20:07:46.5429632Z 10 ... if "a" in x_dict: 2023-07-07T20:07:46.5430321Z 11 ... x = x_dict["a"] 2023-07-07T20:07:46.5431009Z 12 ... elif "b" in x_dict: 2023-07-07T20:07:46.5431578Z 13 ... x = x_dict["b"] 2023-07-07T20:07:46.5431874Z 14 ... else: 2023-07-07T20:07:46.5432145Z 15 ... x = torch.randn(3) 2023-07-07T20:07:46.5432377Z 16 ... 2023-07-07T20:07:46.5432617Z 17 ... y1, (y2, y3) = y_tuple 2023-07-07T20:07:46.5432832Z 18 ... 2023-07-07T20:07:46.5433083Z 19 ... return x + y1 + y2 + y3 2023-07-07T20:07:46.5433557Z 20 >>> x_dict = {"a": torch.tensor(1.)} 2023-07-07T20:07:46.5433992Z 21 >>> y_tuple = (torch.tensor(2.), (torch.tensor(3.), torch.tensor(4.))) 2023-07-07T20:07:46.5434439Z 22 >>> export_output = torch.onnx.dynamo_export(func_with_nested_input_structure, x_dict, y_tuple) 2023-07-07T20:07:46.5434881Z 23 >>> print(x_dict, y_tuple) 2023-07-07T20:07:46.5435193Z  {'a': tensor(1.)} 2023-07-07T20:07:46.5435518Z (tensor(2.), (tensor(3.), tensor(4.))) 2023-07-07T20:07:46.5435889Z 26 >>> print(export_output.adapt_torch_inputs_to_onnx(x_dict, y_tuple)) 2023-07-07T20:07:46.5436244Z  (tensor(1.), tensor(2.), tensor(3.), tensor(4.)) 2023-07-07T20:07:46.5436518Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:47.5790980Z {'a': tensor(1.)} (tensor(2.), (tensor(3.), tensor(4.))) 2023-07-07T20:07:47.5805031Z (tensor(1.), tensor(2.), tensor(3.), tensor(4.)) 2023-07-07T20:07:47.5806877Z DOCTEST RESULT 2023-07-07T20:07:47.5807609Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/exporter.py::ExportOutput.adapt_torch_inputs_to_onnx:0 2023-07-07T20:07:47.5808102Z ====== ====== 2023-07-07T20:07:47.5808887Z ====== ====== 2023-07-07T20:07:47.5809536Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/exporter.py::ExportOutput.adapt_torch_outputs_to_onnx:0, line 355 <- wrt source file 2023-07-07T20:07:47.5810021Z DOCTEST SOURCE 2023-07-07T20:07:47.5832710Z 3 >>> import torch 2023-07-07T20:07:47.5833348Z 4 >>> import torch.onnx 2023-07-07T20:07:47.5834043Z 5 >>> def func_returning_tuples(x, y, z): 2023-07-07T20:07:47.5834388Z 6 ... x = x + y 2023-07-07T20:07:47.5834672Z 7 ... y = y + z 2023-07-07T20:07:47.5834954Z 8 ... z = x + y 2023-07-07T20:07:47.5835221Z 9 ... return (x, (y, z)) 2023-07-07T20:07:47.5835522Z 10 >>> x = torch.tensor(1.) 2023-07-07T20:07:47.5835857Z 11 >>> y = torch.tensor(2.) 2023-07-07T20:07:47.5836463Z 12 >>> z = torch.tensor(3.) 2023-07-07T20:07:47.5836831Z 13 >>> export_output = torch.onnx.dynamo_export(func_returning_tuples, x, y, z) 2023-07-07T20:07:47.5837254Z 14 >>> pt_output = func_returning_tuples(x, y, z) 2023-07-07T20:07:47.5837550Z 15 >>> print(pt_output) 2023-07-07T20:07:47.5837839Z  (tensor(3.), (tensor(5.), tensor(8.))) 2023-07-07T20:07:47.5838266Z 17 >>> print(export_output.adapt_torch_outputs_to_onnx(pt_output)) 2023-07-07T20:07:47.5838589Z  [tensor(3.), tensor(5.), tensor(8.)] 2023-07-07T20:07:47.5838919Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:47.6369767Z (tensor(3.), (tensor(5.), tensor(8.))) 2023-07-07T20:07:47.6376977Z [tensor(3.), tensor(5.), tensor(8.)] 2023-07-07T20:07:47.6378181Z DOCTEST RESULT 2023-07-07T20:07:47.6379215Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/exporter.py::ExportOutput.adapt_torch_outputs_to_onnx:0 2023-07-07T20:07:47.6379778Z ====== ====== 2023-07-07T20:07:47.6380127Z ====== ====== 2023-07-07T20:07:47.6380698Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py::_unified_diff:0, line 62 <- wrt source file 2023-07-07T20:07:47.6381068Z DOCTEST SOURCE 2023-07-07T20:07:47.6389511Z 2 >>> a = '''class GraphModule(torch.nn.Module): 2023-07-07T20:07:47.6390355Z  3 ... def forward(self, input_ids : torch.Tensor, attention_mask : torch.Tensor): 2023-07-07T20:07:47.6391269Z  4 ... # File: /modeling.py:770, code: input_ids = input_ids.view(-1, input_shape[-1]) 2023-07-07T20:07:47.6391857Z  5 ... view = input_ids.view(-1, 3); input_ids = None 2023-07-07T20:07:47.6392157Z  6 ... ''' 2023-07-07T20:07:47.6392493Z 7 >>> b = '''class (torch.nn.Module): 2023-07-07T20:07:47.6392893Z  8 ... def forward(self, input_ids: i64[1, 3], attention_mask: i64[1, 3]): 2023-07-07T20:07:47.6393330Z  9 ... # File: /modeling.py:770, code: input_ids = input_ids.view(-1, input_shape[-1]) 2023-07-07T20:07:47.6393938Z 10 ... view: i64[1, 3] = torch.ops.aten.view.default(input_ids, [-1, 3]); input_ids = None 2023-07-07T20:07:47.6394377Z 11 ... ''' 2023-07-07T20:07:47.6394925Z 12 >>> print(_unified_diff(a, b)) 2023-07-07T20:07:47.6395340Z  --- 2023-07-07T20:07:47.6395631Z +++ 2023-07-07T20:07:47.6395905Z @@ -1,4 +1,4 @@ 2023-07-07T20:07:47.6396219Z -class GraphModule(torch.nn.Module): 2023-07-07T20:07:47.6396576Z - def forward(self, input_ids : torch.Tensor, attention_mask : torch.Tensor): 2023-07-07T20:07:47.6396987Z +class (torch.nn.Module): 2023-07-07T20:07:47.6397361Z + def forward(self, input_ids: i64[1, 3], attention_mask: i64[1, 3]): 2023-07-07T20:07:47.6397821Z # File: /modeling.py:770, code: input_ids = input_ids.view(-1, input_shape[-1]) 2023-07-07T20:07:47.6398475Z - view = input_ids.view(-1, 3); input_ids = None 2023-07-07T20:07:47.6398947Z + view: i64[1, 3] = torch.ops.aten.view.default(input_ids, [-1, 3]); input_ids = None 2023-07-07T20:07:47.6399272Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:47.6399499Z --- 2023-07-07T20:07:47.6399638Z +++ 2023-07-07T20:07:47.6399818Z @@ -1,4 +1,4 @@ 2023-07-07T20:07:47.6400059Z -class GraphModule(torch.nn.Module): 2023-07-07T20:07:47.6400400Z - def forward(self, input_ids : torch.Tensor, attention_mask : torch.Tensor): 2023-07-07T20:07:47.6400771Z +class (torch.nn.Module): 2023-07-07T20:07:47.6401027Z + def forward(self, input_ids: i64[1, 3], attention_mask: i64[1, 3]): 2023-07-07T20:07:47.6401399Z # File: /modeling.py:770, code: input_ids = input_ids.view(-1, input_shape[-1]) 2023-07-07T20:07:47.6401738Z - view = input_ids.view(-1, 3); input_ids = None 2023-07-07T20:07:47.6402114Z + view: i64[1, 3] = torch.ops.aten.view.default(input_ids, [-1, 3]); input_ids = None 2023-07-07T20:07:47.6402303Z 2023-07-07T20:07:47.6402416Z DOCTEST RESULT 2023-07-07T20:07:47.6402910Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/_pass.py::_unified_diff:0 2023-07-07T20:07:47.6403247Z ====== ====== 2023-07-07T20:07:47.6403479Z ====== ====== 2023-07-07T20:07:47.6404035Z * DOCTEST : /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/type_promotion.py::find_compatible_op_overload:0, line 1089 <- wrt source file 2023-07-07T20:07:47.6404636Z DOCTEST SOURCE 2023-07-07T20:07:47.6414614Z 1 >>> import torch 2023-07-07T20:07:47.6414940Z 2 >>> packet = torch.ops.aten.pow 2023-07-07T20:07:47.6416100Z 3 >>> args = (torch.tensor([1.0, 2.0]), 2) 2023-07-07T20:07:47.6416821Z 4 >>> find_compatible_op_overload(packet, args, {})._overloadname 2023-07-07T20:07:47.6417346Z  'Tensor_Scalar' 2023-07-07T20:07:47.6417716Z 6 >>> args = (torch.tensor([1.0, 2.0]), torch.tensor(2.0)) 2023-07-07T20:07:47.6418081Z 7 >>> find_compatible_op_overload(packet, args, {})._overloadname 2023-07-07T20:07:47.6418369Z  'Tensor_Tensor' 2023-07-07T20:07:47.6418681Z DOCTEST STDOUT/STDERR 2023-07-07T20:07:47.6426049Z DOCTEST RESULT 2023-07-07T20:07:47.6426607Z * SUCCESS: /opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/onnx/_internal/fx/passes/type_promotion.py::find_compatible_op_overload:0 2023-07-07T20:07:47.6426992Z ====== ====== 2023-07-07T20:07:47.6427212Z ============ 2023-07-07T20:07:47.6427382Z Finished doctests 2023-07-07T20:07:47.6427559Z 5 / 8 passed 2023-07-07T20:07:47.6427829Z === 5 passed, 3 skipped in 2.91 seconds === 2023-07-07T20:07:48.0383879Z + '[' -d .coverage ']' 2023-07-07T20:07:48.0441388Z ##[group]Run cat test/**/*.log || true 2023-07-07T20:07:48.0441632Z cat test/**/*.log || true 2023-07-07T20:07:48.0475168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:48.0475409Z env: 2023-07-07T20:07:48.0475590Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:48.0475882Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:48.0476188Z ##[endgroup] 2023-07-07T20:07:48.0516555Z cat: test/**/*.log: No such file or directory 2023-07-07T20:07:48.0556232Z Prepare all required actions 2023-07-07T20:07:48.0576248Z ##[group]Run ./.github/actions/get-workflow-job-id 2023-07-07T20:07:48.0576471Z with: 2023-07-07T20:07:48.0576791Z github-token: *** 2023-07-07T20:07:48.0576965Z env: 2023-07-07T20:07:48.0577127Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:48.0577423Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:48.0577927Z ##[endgroup] 2023-07-07T20:07:48.0589172Z ##[group]Run set -eux 2023-07-07T20:07:48.0589374Z set -eux 2023-07-07T20:07:48.0589662Z GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}") 2023-07-07T20:07:48.0589999Z echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}" 2023-07-07T20:07:48.0600649Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:48.0600945Z env: 2023-07-07T20:07:48.0601122Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:48.0601457Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:48.0601878Z GITHUB_TOKEN: *** 2023-07-07T20:07:48.0602045Z ##[endgroup] 2023-07-07T20:07:48.0627583Z ++ python3 .github/scripts/get_workflow_job_id.py 5489954980 i-0d4bdaa99d64868a8 2023-07-07T20:07:51.8171849Z + GHA_WORKFLOW_JOB_ID=14868893973 2023-07-07T20:07:51.8172387Z + echo job-id=14868893973 2023-07-07T20:07:51.8194355Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2023-07-07T20:07:51.8194710Z kill "$MONITOR_SCRIPT_PID" 2023-07-07T20:07:51.8205997Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:51.8206218Z env: 2023-07-07T20:07:51.8206400Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:51.8206706Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:51.8207002Z MONITOR_SCRIPT_PID: 11854 2023-07-07T20:07:51.8207202Z ##[endgroup] 2023-07-07T20:07:51.8310845Z Prepare all required actions 2023-07-07T20:07:51.8311243Z Getting action download info 2023-07-07T20:07:51.9682626Z Download action repository 'actions/upload-artifact@v3' (SHA:0b7f8abb1508181956e8e162db84b466c27e18ce) 2023-07-07T20:07:52.1284170Z ##[group]Run ./.github/actions/upload-test-artifacts 2023-07-07T20:07:52.1284778Z with: 2023-07-07T20:07:52.1285024Z file-suffix: test-default-2-2-linux.2xlarge_14868893973 2023-07-07T20:07:52.1285254Z env: 2023-07-07T20:07:52.1285417Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:52.1285717Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:52.1285995Z ##[endgroup] 2023-07-07T20:07:52.1305398Z ##[group]Run # Remove any previous test jsons if they exist 2023-07-07T20:07:52.1305693Z # Remove any previous test jsons if they exist 2023-07-07T20:07:52.1305937Z rm -f test-jsons-*.zip 2023-07-07T20:07:52.1306518Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json' 2023-07-07T20:07:52.1317540Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:52.1317770Z env: 2023-07-07T20:07:52.1317950Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:52.1318243Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:52.1318594Z FILE_SUFFIX: test-default-2-2-linux.2xlarge_14868893973 2023-07-07T20:07:52.1318826Z ##[endgroup] 2023-07-07T20:07:52.1800755Z adding: test/allowlist_for_publicAPI.json (deflated 78%) 2023-07-07T20:07:52.1836413Z adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%) 2023-07-07T20:07:52.1847917Z adding: test/profiler/profiler_utils_mock_events.json (deflated 87%) 2023-07-07T20:07:52.1848917Z adding: test/.pytorch-slow-tests.json (deflated 67%) 2023-07-07T20:07:52.1854654Z adding: test/.pytorch-disabled-tests.json (deflated 85%) 2023-07-07T20:07:52.1874249Z ##[group]Run # Remove any previous test reports if they exist 2023-07-07T20:07:52.1874681Z # Remove any previous test reports if they exist 2023-07-07T20:07:52.1874939Z rm -f test-reports-*.zip 2023-07-07T20:07:52.1875217Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv' 2023-07-07T20:07:52.1886097Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:52.1886324Z env: 2023-07-07T20:07:52.1886505Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:52.1886798Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:52.1887149Z FILE_SUFFIX: test-default-2-2-linux.2xlarge_14868893973 2023-07-07T20:07:52.1887386Z ##[endgroup] 2023-07-07T20:07:52.2022955Z adding: test/test-reports/python-pytest/onnx.test_fx_op_consistency/onnx.test_fx_op_consistency-8191c1211763578f.xml (deflated 98%) 2023-07-07T20:07:52.2724955Z adding: test/test-reports/python-pytest/onnx.test_pytorch_onnx_onnxruntime/onnx.test_pytorch_onnx_onnxruntime-d2ddb2f7badfa712.xml (deflated 97%) 2023-07-07T20:07:52.2750596Z adding: test/test-reports/python-pytest/onnx.test_fx_to_onnx_with_onnxruntime/onnx.test_fx_to_onnx_with_onnxruntime-530f37bf08510e84.xml (deflated 97%) 2023-07-07T20:07:52.2849077Z adding: test/test-reports/python-pytest/onnx.test_op_consistency/onnx.test_op_consistency-72317d4993dec473.xml (deflated 99%) 2023-07-07T20:07:52.2854864Z adding: test/test-reports/python-pytest/onnx.test_operators/onnx.test_operators-5528f473048d4644.xml (deflated 96%) 2023-07-07T20:07:52.2855562Z adding: test/test-reports/python-pytest/onnx.test_fx_to_onnx/onnx.test_fx_to_onnx-be7292e35aeb1f69.xml (deflated 81%) 2023-07-07T20:07:52.2856868Z adding: test/test-reports/python-pytest/onnx.dynamo.test_exporter_api/onnx.dynamo.test_exporter_api-f381885324664d3e.xml (deflated 82%) 2023-07-07T20:07:52.2859564Z adding: test/test-reports/python-pytest/onnx.test_pytorch_onnx_no_runtime/onnx.test_pytorch_onnx_no_runtime-731995706248fb2b.xml (deflated 90%) 2023-07-07T20:07:52.2861144Z adding: test/test-reports/python-pytest/onnx.test_verification/onnx.test_verification-a6078f2ba36922ac.xml (deflated 86%) 2023-07-07T20:07:52.2861712Z adding: test/test-reports/python-pytest/onnx.test_export_modes/onnx.test_export_modes-5ab060a3634dab03.xml (deflated 84%) 2023-07-07T20:07:52.2863401Z adding: test/test-reports/python-pytest/onnx.test_onnx_opset/onnx.test_onnx_opset-bb1db03ef06e029c.xml (deflated 92%) 2023-07-07T20:07:52.2863928Z adding: test/test-reports/python-pytest/onnx.test_fx_passes/onnx.test_fx_passes-5f1dbe4f89f34b0d.xml (deflated 51%) 2023-07-07T20:07:52.2864640Z adding: test/test-reports/python-pytest/onnx.test_pytorch_onnx_shape_inference/onnx.test_pytorch_onnx_shape_inference-0e5b15c6e0f19669.xml (deflated 83%) 2023-07-07T20:07:52.2865412Z adding: test/test-reports/python-pytest/onnx.internal.test_diagnostics/onnx.internal.test_diagnostics-8699e90cba87877d.xml (deflated 77%) 2023-07-07T20:07:52.2866001Z adding: test/test-reports/python-pytest/onnx.test_pytorch_jit_onnx/onnx.test_pytorch_jit_onnx-4ed97089a8f6d661.xml (deflated 64%) 2023-07-07T20:07:52.2866959Z adding: test/test-reports/python-pytest/onnx.internal.test_registraion/onnx.internal.test_registraion-2de6152bd7e74fdb.xml (deflated 91%) 2023-07-07T20:07:52.2867556Z adding: test/test-reports/python-pytest/onnx.internal.test_beartype/onnx.internal.test_beartype-6d6738e66c5e4305.xml (deflated 66%) 2023-07-07T20:07:52.2868143Z adding: test/test-reports/python-pytest/onnx.test_fx_type_promotion/onnx.test_fx_type_promotion-d58f706e2a7416eb.xml (deflated 57%) 2023-07-07T20:07:52.2868716Z adding: test/test-reports/python-pytest/onnx.test_symbolic_helper/onnx.test_symbolic_helper-fefafa306fd45441.xml (deflated 74%) 2023-07-07T20:07:52.2869278Z adding: test/test-reports/python-pytest/onnx.test_autograd_funs/onnx.test_autograd_funs-d9eff169a6400d86.xml (deflated 82%) 2023-07-07T20:07:52.2869848Z adding: test/test-reports/python-pytest/onnx.test_onnxscript_runtime/onnx.test_onnxscript_runtime-898b36415a16cca8.xml (deflated 62%) 2023-07-07T20:07:52.2870794Z adding: test/test-reports/python-pytest/onnx.dynamo.test_registry_dispatcher/onnx.dynamo.test_registry_dispatcher-145f38c53ec752b4.xml (deflated 87%) 2023-07-07T20:07:52.2889985Z adding: test/test-reports/python-pytest/onnx.test_utility_funs/onnx.test_utility_funs-004e4188ca8ff9a7.xml (deflated 97%) 2023-07-07T20:07:52.2890520Z adding: test/test-reports/python-pytest/onnx.test_custom_ops/onnx.test_custom_ops-72a9198e52281a2f.xml (deflated 64%) 2023-07-07T20:07:52.2910333Z ##[group]Run # Remove any previous test reports if they exist 2023-07-07T20:07:52.2910653Z # Remove any previous test reports if they exist 2023-07-07T20:07:52.2910894Z rm -f usage-log-*.zip 2023-07-07T20:07:52.2911184Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2023-07-07T20:07:52.2911486Z # so check to see if the file exists first 2023-07-07T20:07:52.2911712Z if [ -f 'usage_log.txt' ]; then 2023-07-07T20:07:52.2912046Z  zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt' 2023-07-07T20:07:52.2912267Z fi 2023-07-07T20:07:52.2912451Z if ls test/**/*.log 1> /dev/null 2>&1; then 2023-07-07T20:07:52.2912715Z  zip -r "usage-log-${FILE_SUFFIX}.zip" test -i '*.log' 2023-07-07T20:07:52.2912938Z fi 2023-07-07T20:07:52.2924042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:52.2924272Z env: 2023-07-07T20:07:52.2924626Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:52.2924928Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:52.2925267Z FILE_SUFFIX: test-default-2-2-linux.2xlarge_14868893973 2023-07-07T20:07:52.2925504Z ##[endgroup] 2023-07-07T20:07:52.3043598Z adding: usage_log.txt (deflated 97%) 2023-07-07T20:07:52.3120717Z ##[group]Run seemethere/upload-artifact-s3@v5 2023-07-07T20:07:52.3120943Z with: 2023-07-07T20:07:52.3121150Z s3-prefix: pytorch/pytorch/5489954980/1/artifact 2023-07-07T20:07:52.3121507Z retention-days: 14 2023-07-07T20:07:52.3121712Z if-no-files-found: warn 2023-07-07T20:07:52.3121903Z path: test-jsons-*.zip 2023-07-07T20:07:52.3122091Z name: artifact 2023-07-07T20:07:52.3122283Z s3-bucket: gha-artifacts 2023-07-07T20:07:52.3122467Z region: us-east-1 2023-07-07T20:07:52.3122636Z env: 2023-07-07T20:07:52.3122809Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:52.3123094Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:52.3123375Z ##[endgroup] 2023-07-07T20:07:52.6821718Z NOTE: s3-prefix specified, ignoring name parameter 2023-07-07T20:07:52.6822185Z With the provided path, there will be 1 file uploaded 2023-07-07T20:07:52.6822477Z Uploading to s3 prefix: pytorch/pytorch/5489954980/1/artifact 2023-07-07T20:07:52.6829235Z Starting upload of test-jsons-test-default-2-2-linux.2xlarge_14868893973.zip 2023-07-07T20:07:52.8293067Z Finished upload of test-jsons-test-default-2-2-linux.2xlarge_14868893973.zip 2023-07-07T20:07:52.8434314Z ##[group]Run seemethere/upload-artifact-s3@v5 2023-07-07T20:07:52.8434540Z with: 2023-07-07T20:07:52.8434837Z s3-prefix: pytorch/pytorch/5489954980/1/artifact 2023-07-07T20:07:52.8435065Z retention-days: 14 2023-07-07T20:07:52.8435271Z if-no-files-found: error 2023-07-07T20:07:52.8435470Z path: test-reports-*.zip 2023-07-07T20:07:52.8435664Z name: artifact 2023-07-07T20:07:52.8435857Z s3-bucket: gha-artifacts 2023-07-07T20:07:52.8436041Z region: us-east-1 2023-07-07T20:07:52.8436210Z env: 2023-07-07T20:07:52.8436385Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:52.8436670Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:52.8436950Z ##[endgroup] 2023-07-07T20:07:53.1871501Z NOTE: s3-prefix specified, ignoring name parameter 2023-07-07T20:07:53.1872126Z With the provided path, there will be 1 file uploaded 2023-07-07T20:07:53.1872478Z Uploading to s3 prefix: pytorch/pytorch/5489954980/1/artifact 2023-07-07T20:07:53.1879450Z Starting upload of test-reports-test-default-2-2-linux.2xlarge_14868893973.zip 2023-07-07T20:07:53.3287996Z Finished upload of test-reports-test-default-2-2-linux.2xlarge_14868893973.zip 2023-07-07T20:07:53.3429207Z ##[group]Run seemethere/upload-artifact-s3@v5 2023-07-07T20:07:53.3429440Z with: 2023-07-07T20:07:53.3429634Z s3-prefix: pytorch/pytorch/5489954980/1/artifact 2023-07-07T20:07:53.3429863Z retention-days: 14 2023-07-07T20:07:53.3430068Z if-no-files-found: ignore 2023-07-07T20:07:53.3430261Z path: usage-log-*.zip 2023-07-07T20:07:53.3430448Z name: artifact 2023-07-07T20:07:53.3430634Z s3-bucket: gha-artifacts 2023-07-07T20:07:53.3430817Z region: us-east-1 2023-07-07T20:07:53.3430984Z env: 2023-07-07T20:07:53.3431156Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:53.3431444Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:53.3431727Z ##[endgroup] 2023-07-07T20:07:53.6895425Z NOTE: s3-prefix specified, ignoring name parameter 2023-07-07T20:07:53.6896312Z With the provided path, there will be 1 file uploaded 2023-07-07T20:07:53.6896727Z Uploading to s3 prefix: pytorch/pytorch/5489954980/1/artifact 2023-07-07T20:07:53.6904986Z Starting upload of usage-log-test-default-2-2-linux.2xlarge_14868893973.zip 2023-07-07T20:07:53.8209546Z Finished upload of usage-log-test-default-2-2-linux.2xlarge_14868893973.zip 2023-07-07T20:07:53.8351957Z ##[group]Run # shellcheck disable=SC2156 2023-07-07T20:07:53.8352224Z # shellcheck disable=SC2156 2023-07-07T20:07:53.8352548Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2023-07-07T20:07:53.8363918Z shell: /usr/bin/bash -e {0} 2023-07-07T20:07:53.8364118Z env: 2023-07-07T20:07:53.8364299Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:53.8364813Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:53.8365109Z ##[endgroup] 2023-07-07T20:07:55.8731808Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2023-07-07T20:07:55.8732087Z with: 2023-07-07T20:07:55.8732234Z env: 2023-07-07T20:07:55.8732411Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:55.8732714Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:55.8732984Z ##[endgroup] 2023-07-07T20:07:55.8751086Z ##[group]Run set -eou pipefail 2023-07-07T20:07:55.8751334Z set -eou pipefail 2023-07-07T20:07:55.8751523Z  2023-07-07T20:07:55.8751770Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2023-07-07T20:07:55.8752019Z for _ in $(seq 1440); do 2023-07-07T20:07:55.8752246Z  # Break if no ssh session exists anymore 2023-07-07T20:07:55.8752474Z  if [ "$(who)" = "" ]; then 2023-07-07T20:07:55.8752652Z  break 2023-07-07T20:07:55.8752825Z  fi 2023-07-07T20:07:55.8753150Z  echo "." 2023-07-07T20:07:55.8753319Z  sleep 5 2023-07-07T20:07:55.8753497Z done 2023-07-07T20:07:55.8764343Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:55.8764672Z env: 2023-07-07T20:07:55.8764851Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:55.8765152Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:55.8765425Z ##[endgroup] 2023-07-07T20:07:55.8788925Z Holding runner for 2 hours until all ssh sessions have logged out 2023-07-07T20:07:55.8859533Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2023-07-07T20:07:55.8859860Z # ignore expansion of "docker ps -q" since it could be empty 2023-07-07T20:07:55.8860122Z # shellcheck disable=SC2046 2023-07-07T20:07:55.8860354Z docker stop $(docker ps -q) || true 2023-07-07T20:07:55.8860578Z # Prune all of the docker images 2023-07-07T20:07:55.8860801Z docker system prune -af 2023-07-07T20:07:55.8871066Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2023-07-07T20:07:55.8871289Z env: 2023-07-07T20:07:55.8871467Z GIT_DEFAULT_BRANCH: main 2023-07-07T20:07:55.8871767Z DOCKER_CONTAINER_ID: 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:55.8872048Z ##[endgroup] 2023-07-07T20:07:56.2368465Z 4858de85ec97 2023-07-07T20:07:56.9511301Z Deleted Containers: 2023-07-07T20:07:56.9511735Z 4858de85ec97df9f55ec3c534bd0bf31673ad6c81c4ea5e806ef4daef1b08913 2023-07-07T20:07:56.9512003Z 2023-07-07T20:08:02.5387819Z Deleted Images: 2023-07-07T20:08:02.5390501Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx:4dd31bf90685b3aeac59044e6b16ee8e9fc59987 2023-07-07T20:08:02.5391696Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang10-onnx@sha256:2e3a897156e69f90d61e81b3feaf5738e8a475478882cbff172416c544261a60 2023-07-07T20:08:02.5392269Z 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2023-07-07T20:08:02.5581259Z Post job cleanup. 2023-07-07T20:08:02.6455986Z [command]/usr/bin/git version 2023-07-07T20:08:02.6509348Z git version 2.40.1 2023-07-07T20:08:02.6547485Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d1344612-a789-4b12-89a7-07035f5d9a0c' before making global git config changes 2023-07-07T20:08:02.6548305Z Adding repository directory to the temporary git global config as a safe directory 2023-07-07T20:08:02.6552866Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2023-07-07T20:08:02.6587272Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2023-07-07T20:08:02.6616489Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2023-07-07T20:08:02.7074397Z Entering 'android/libs/fbjni' 2023-07-07T20:08:02.7159267Z Entering 'third_party/FP16' 2023-07-07T20:08:02.7222599Z Entering 'third_party/FXdiv' 2023-07-07T20:08:02.7289285Z Entering 'third_party/NNPACK' 2023-07-07T20:08:02.7353504Z Entering 'third_party/QNNPACK' 2023-07-07T20:08:02.7413454Z Entering 'third_party/VulkanMemoryAllocator' 2023-07-07T20:08:02.7486961Z Entering 'third_party/XNNPACK' 2023-07-07T20:08:02.7639483Z Entering 'third_party/benchmark' 2023-07-07T20:08:02.7699960Z Entering 'third_party/cpuinfo' 2023-07-07T20:08:02.7761153Z Entering 'third_party/cub' 2023-07-07T20:08:02.7820974Z Entering 'third_party/cudnn_frontend' 2023-07-07T20:08:02.7927069Z Entering 'third_party/cutlass' 2023-07-07T20:08:02.8042653Z Entering 'third_party/eigen' 2023-07-07T20:08:02.8121215Z Entering 'third_party/fbgemm' 2023-07-07T20:08:02.8209064Z Entering 'third_party/fbgemm/third_party/asmjit' 2023-07-07T20:08:02.8280337Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2023-07-07T20:08:02.8340763Z Entering 'third_party/fbgemm/third_party/cutlass' 2023-07-07T20:08:02.8437700Z Entering 'third_party/fbgemm/third_party/googletest' 2023-07-07T20:08:02.8499522Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2023-07-07T20:08:02.8561598Z Entering 'third_party/flatbuffers' 2023-07-07T20:08:02.8637236Z Entering 'third_party/fmt' 2023-07-07T20:08:02.8714124Z Entering 'third_party/foxi' 2023-07-07T20:08:02.8771536Z Entering 'third_party/gemmlowp/gemmlowp' 2023-07-07T20:08:02.8843045Z Entering 'third_party/gloo' 2023-07-07T20:08:02.8909865Z Entering 'third_party/googletest' 2023-07-07T20:08:02.8978704Z Entering 'third_party/ideep' 2023-07-07T20:08:02.9042286Z Entering 'third_party/ideep/mkl-dnn' 2023-07-07T20:08:02.9103805Z Entering 'third_party/ios-cmake' 2023-07-07T20:08:02.9164866Z Entering 'third_party/ittapi' 2023-07-07T20:08:02.9229514Z Entering 'third_party/kineto' 2023-07-07T20:08:02.9274739Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2023-07-07T20:08:02.9321093Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2023-07-07T20:08:02.9367364Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2023-07-07T20:08:02.9411935Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2023-07-07T20:08:02.9456147Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2023-07-07T20:08:02.9499827Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2023-07-07T20:08:02.9544762Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2023-07-07T20:08:02.9588450Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2023-07-07T20:08:02.9633146Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2023-07-07T20:08:02.9679424Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2023-07-07T20:08:02.9726794Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2023-07-07T20:08:02.9770167Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2023-07-07T20:08:02.9836629Z Entering 'third_party/mimalloc' 2023-07-07T20:08:02.9895325Z Entering 'third_party/nccl/nccl' 2023-07-07T20:08:02.9950137Z Entering 'third_party/neon2sse' 2023-07-07T20:08:03.0002470Z Entering 'third_party/nlohmann' 2023-07-07T20:08:03.0049771Z Entering 'third_party/onnx' 2023-07-07T20:08:03.0110243Z Entering 'third_party/onnx/third_party/benchmark' 2023-07-07T20:08:03.0155699Z Entering 'third_party/onnx/third_party/pybind11' 2023-07-07T20:08:03.0212240Z Entering 'third_party/onnx-tensorrt' 2023-07-07T20:08:03.0256872Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2023-07-07T20:08:03.0305295Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2023-07-07T20:08:03.0351248Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2023-07-07T20:08:03.0395600Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2023-07-07T20:08:03.0455378Z Entering 'third_party/pocketfft' 2023-07-07T20:08:03.0508088Z Entering 'third_party/protobuf' 2023-07-07T20:08:03.0556064Z Entering 'third_party/protobuf/third_party/benchmark' 2023-07-07T20:08:03.0600039Z Entering 'third_party/protobuf/third_party/googletest' 2023-07-07T20:08:03.0658784Z Entering 'third_party/psimd' 2023-07-07T20:08:03.0723717Z Entering 'third_party/pthreadpool' 2023-07-07T20:08:03.0779243Z Entering 'third_party/pybind11' 2023-07-07T20:08:03.0841711Z Entering 'third_party/python-enum' 2023-07-07T20:08:03.0895625Z Entering 'third_party/python-peachpy' 2023-07-07T20:08:03.0951162Z Entering 'third_party/python-six' 2023-07-07T20:08:03.1013880Z Entering 'third_party/sleef' 2023-07-07T20:08:03.1073986Z Entering 'third_party/tbb' 2023-07-07T20:08:03.1146407Z Entering 'third_party/tensorpipe' 2023-07-07T20:08:03.1190726Z Entering 'third_party/tensorpipe/third_party/googletest' 2023-07-07T20:08:03.1235555Z Entering 'third_party/tensorpipe/third_party/libnop' 2023-07-07T20:08:03.1278858Z Entering 'third_party/tensorpipe/third_party/libuv' 2023-07-07T20:08:03.1323669Z Entering 'third_party/tensorpipe/third_party/pybind11' 2023-07-07T20:08:03.1368238Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2023-07-07T20:08:03.1430707Z Entering 'third_party/zstd' 2023-07-07T20:08:03.1490075Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2023-07-07T20:08:03.1514164Z http.https://github.com/.extraheader 2023-07-07T20:08:03.1521751Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2023-07-07T20:08:03.1551085Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2023-07-07T20:08:03.1808888Z Entering 'android/libs/fbjni' 2023-07-07T20:08:03.1838791Z http.https://github.com/.extraheader 2023-07-07T20:08:03.1866674Z Entering 'third_party/FP16' 2023-07-07T20:08:03.1896613Z http.https://github.com/.extraheader 2023-07-07T20:08:03.1923782Z Entering 'third_party/FXdiv' 2023-07-07T20:08:03.1953523Z http.https://github.com/.extraheader 2023-07-07T20:08:03.1981391Z Entering 'third_party/NNPACK' 2023-07-07T20:08:03.2011578Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2039617Z Entering 'third_party/QNNPACK' 2023-07-07T20:08:03.2069190Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2097252Z Entering 'third_party/VulkanMemoryAllocator' 2023-07-07T20:08:03.2129765Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2157964Z Entering 'third_party/XNNPACK' 2023-07-07T20:08:03.2188232Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2229362Z Entering 'third_party/benchmark' 2023-07-07T20:08:03.2259667Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2287351Z Entering 'third_party/cpuinfo' 2023-07-07T20:08:03.2316972Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2345494Z Entering 'third_party/cub' 2023-07-07T20:08:03.2375215Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2402720Z Entering 'third_party/cudnn_frontend' 2023-07-07T20:08:03.2431778Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2464298Z Entering 'third_party/cutlass' 2023-07-07T20:08:03.2495149Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2530932Z Entering 'third_party/eigen' 2023-07-07T20:08:03.2560358Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2589606Z Entering 'third_party/fbgemm' 2023-07-07T20:08:03.2619366Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2647813Z Entering 'third_party/fbgemm/third_party/asmjit' 2023-07-07T20:08:03.2676916Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2705076Z Entering 'third_party/fbgemm/third_party/cpuinfo' 2023-07-07T20:08:03.2734802Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2762757Z Entering 'third_party/fbgemm/third_party/cutlass' 2023-07-07T20:08:03.2792710Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2828378Z Entering 'third_party/fbgemm/third_party/googletest' 2023-07-07T20:08:03.2857134Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2885398Z Entering 'third_party/fbgemm/third_party/hipify_torch' 2023-07-07T20:08:03.2914953Z http.https://github.com/.extraheader 2023-07-07T20:08:03.2952989Z Entering 'third_party/flatbuffers' 2023-07-07T20:08:03.2984482Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3015391Z Entering 'third_party/fmt' 2023-07-07T20:08:03.3045980Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3073607Z Entering 'third_party/foxi' 2023-07-07T20:08:03.3104292Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3132283Z Entering 'third_party/gemmlowp/gemmlowp' 2023-07-07T20:08:03.3162108Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3190208Z Entering 'third_party/gloo' 2023-07-07T20:08:03.3219654Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3247157Z Entering 'third_party/googletest' 2023-07-07T20:08:03.3276387Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3306319Z Entering 'third_party/ideep' 2023-07-07T20:08:03.3336128Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3363359Z Entering 'third_party/ideep/mkl-dnn' 2023-07-07T20:08:03.3392730Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3428266Z Entering 'third_party/ios-cmake' 2023-07-07T20:08:03.3458203Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3486306Z Entering 'third_party/ittapi' 2023-07-07T20:08:03.3515790Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3544842Z Entering 'third_party/kineto' 2023-07-07T20:08:03.3574461Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3602350Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2023-07-07T20:08:03.3631608Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3660832Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2023-07-07T20:08:03.3690941Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3720944Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2023-07-07T20:08:03.3750943Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3779135Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2023-07-07T20:08:03.3807862Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3836006Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2023-07-07T20:08:03.3864348Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3896731Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2023-07-07T20:08:03.3925448Z http.https://github.com/.extraheader 2023-07-07T20:08:03.3955016Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2023-07-07T20:08:03.3983323Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4012435Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2023-07-07T20:08:03.4040711Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4068505Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2023-07-07T20:08:03.4097538Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4126783Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2023-07-07T20:08:03.4155135Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4184808Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2023-07-07T20:08:03.4213980Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4241148Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2023-07-07T20:08:03.4269973Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4298565Z Entering 'third_party/mimalloc' 2023-07-07T20:08:03.4328999Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4356655Z Entering 'third_party/nccl/nccl' 2023-07-07T20:08:03.4386127Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4419751Z Entering 'third_party/neon2sse' 2023-07-07T20:08:03.4449421Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4476556Z Entering 'third_party/nlohmann' 2023-07-07T20:08:03.4504837Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4534273Z Entering 'third_party/onnx' 2023-07-07T20:08:03.4563521Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4606174Z Entering 'third_party/onnx/third_party/benchmark' 2023-07-07T20:08:03.4635862Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4664381Z Entering 'third_party/onnx/third_party/pybind11' 2023-07-07T20:08:03.4695160Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4735269Z Entering 'third_party/onnx-tensorrt' 2023-07-07T20:08:03.4765957Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4794116Z Entering 'third_party/onnx-tensorrt/third_party/onnx' 2023-07-07T20:08:03.4823503Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4858648Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark' 2023-07-07T20:08:03.4888779Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4922060Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2023-07-07T20:08:03.4952610Z http.https://github.com/.extraheader 2023-07-07T20:08:03.4985134Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2023-07-07T20:08:03.5015424Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5048842Z Entering 'third_party/pocketfft' 2023-07-07T20:08:03.5079483Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5108132Z Entering 'third_party/protobuf' 2023-07-07T20:08:03.5138718Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5170408Z Entering 'third_party/protobuf/third_party/benchmark' 2023-07-07T20:08:03.5199447Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5227686Z Entering 'third_party/protobuf/third_party/googletest' 2023-07-07T20:08:03.5256537Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5285997Z Entering 'third_party/psimd' 2023-07-07T20:08:03.5316251Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5352858Z Entering 'third_party/pthreadpool' 2023-07-07T20:08:03.5383174Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5411108Z Entering 'third_party/pybind11' 2023-07-07T20:08:03.5440744Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5476916Z Entering 'third_party/python-enum' 2023-07-07T20:08:03.5505684Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5533130Z Entering 'third_party/python-peachpy' 2023-07-07T20:08:03.5561717Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5589467Z Entering 'third_party/python-six' 2023-07-07T20:08:03.5618843Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5654169Z Entering 'third_party/sleef' 2023-07-07T20:08:03.5683197Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5711415Z Entering 'third_party/tbb' 2023-07-07T20:08:03.5740802Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5770937Z Entering 'third_party/tensorpipe' 2023-07-07T20:08:03.5800354Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5837226Z Entering 'third_party/tensorpipe/third_party/googletest' 2023-07-07T20:08:03.5867571Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5895052Z Entering 'third_party/tensorpipe/third_party/libnop' 2023-07-07T20:08:03.5923437Z http.https://github.com/.extraheader 2023-07-07T20:08:03.5952065Z Entering 'third_party/tensorpipe/third_party/libuv' 2023-07-07T20:08:03.5980936Z http.https://github.com/.extraheader 2023-07-07T20:08:03.6009137Z Entering 'third_party/tensorpipe/third_party/pybind11' 2023-07-07T20:08:03.6037555Z http.https://github.com/.extraheader 2023-07-07T20:08:03.6064884Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2023-07-07T20:08:03.6094613Z http.https://github.com/.extraheader 2023-07-07T20:08:03.6125257Z Entering 'third_party/zstd' 2023-07-07T20:08:03.6154465Z http.https://github.com/.extraheader 2023-07-07T20:08:03.6369160Z Cleaning up orphan processes